{"pageNumber":"748","pageRowStart":"18675","pageSize":"25","recordCount":184606,"records":[{"id":70215426,"text":"70215426 - 2019 - Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study","interactions":[],"lastModifiedDate":"2020-10-20T15:02:00.988058","indexId":"70215426","displayToPublicDate":"2019-04-13T09:55:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study","docAbstract":"<p><span>Many streams are experiencing increased average temperatures due to anthropogenic activity and climate change. As a result, surface water temperature regulation is critical for preserving a diverse stream fish species assemblage. The development of temperature regulations has generally been based on laboratory measurements of individual species' thermal tolerances rather than community response to temperature in the field, despite multiple limitations of using laboratory data for this purpose. Using field data to develop temperature regulations may avoid some of the limitations of laboratory data, but the use of field data comes with additional challenges that prevent its widespread adoption. We used Wyoming stream fish assemblages as a case study to examine the feasibility of addressing the limitations of field and laboratory data through a hybrid approach that integrates both types of data to classify species into thermal guilds that can potentially inform regulatory standards. We identified coldwater, coolwater, and warmwater classes of sites with modeled mean August temperatures of&nbsp;&lt;15.5, 15.5–19.9, and&nbsp;&gt;19.9°C, respectively. We used species' associations with these temperature classes to place species into site‐groups. Finally, we used standardized laboratory measures of species' upper acute and chronic thermal tolerances to identify and reclassify species with unusual thermal distributions. Through this process we classified species into five thermal guilds that may be useful for surface water temperature regulation in Wyoming. Our approach addresses the limitations identified for field and laboratory data and demonstrates a framework that could be used for incorporating multiple types of data to develop temperature standards.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10169","usgsCitation":"Mandeville, C.P., Rahel, F.J., Patterson, L.S., and Walters, A.W., 2019, Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study: Transactions of the American Fisheries Society, v. 148, no. 4, p. 739-754, https://doi.org/10.1002/tafs.10169.","productDescription":"15 p.","startPage":"739","endPage":"754","ipdsId":"IP-098236","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              40.88029480552824\n            ],\n            [\n              -104.0185546875,\n              40.88029480552824\n            ],\n            [\n              -104.0185546875,\n              44.933696389694674\n            ],\n            [\n              -111.0498046875,\n              44.933696389694674\n            ],\n            [\n              -111.0498046875,\n              40.88029480552824\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"148","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Mandeville, Caitlin P. 0000-0002-1361-607X","orcid":"https://orcid.org/0000-0002-1361-607X","contributorId":243378,"corporation":false,"usgs":false,"family":"Mandeville","given":"Caitlin","email":"","middleInitial":"P.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":802164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":802165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay S.","contributorId":243379,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","email":"","middleInitial":"S.","affiliations":[{"id":48707,"text":"Wyoming Dept of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":802166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203200,"text":"70203200 - 2019 - Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States","interactions":[],"lastModifiedDate":"2020-09-01T13:57:44.453274","indexId":"70203200","displayToPublicDate":"2019-04-13T08:46:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States","docAbstract":"The concept of ecological integrity has been applied widely to management of aquatic systems, but still is considered by many to be too vague and difficult to quantify to be useful for managing terrestrial systems, particularly across broad areas. Extensive public lands in the western United States are managed for diverse uses such as timber harvest, livestock grazing, energy development, and wildlife conservation, some of which may degrade ecological integrity. We propose a method for assessing ecological integrity on multiple-use lands that identifies the components of integrity and levels in the ecological hierarchy where the assessment will focus, and considers existing policies and management objectives. Both natural reference and societally desired environmental conditions are relevant comparison points. We applied the method to evaluate the ecological integrity of shrublands in Nevada, yielding an assessment based on six indicators of ecosystem structure, function, and composition, including resource- and stressor-based indicators measured at multiple scales. Results varied spatially and among indicators. Invasive plant cover and surface development were highest in shrublands in northwest and southeast Nevada. Departure from reference conditions of shrubland area, composition, patch size, and connectivity was highest in central and northern Nevada. Results may inform efforts to control invasive species and restore shrublands on federal lands in Nevada. We suggest that ecological integrity assessments for multiple-use lands be grounded in existing policies and monitoring programs, incorporate resource- and stressor-based metrics, rely on publicly available data collected at multiple spatial scales, and quantify both natural reference and societally desired resource conditions.","language":"English","publisher":"Springer","doi":"10.1007/s00267-019-01163-w","usgsCitation":"Carter, S.K., Fleishman, E., Leinwand, I., Flather, C.H., Carr, N.B., Fogarty, F.A., Leu, M., Noon, B.R., Wohlfeil, M., and Wood, D.J., 2019, Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States: Environmental Management, v. 64, no. 1, p. 1-19, https://doi.org/10.1007/s00267-019-01163-w.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-088250","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":460407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-019-01163-w","text":"Publisher Index Page"},{"id":363286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"37\",\"properties\":{\"name\":\"Nevada\",\"nation\":\"USA  \"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-114.042145,40.999926],[-114.043176,40.771675],[-114.043803,40.759205],[-114.043831,40.758666],[-114.043505,40.726292],[-114.045281,40.506586],[-114.045577,40.495801],[-114.045518,40.494474],[-114.045218,40.430282],[-114.045826,40.424823],[-114.046178,40.398313],[-114.046153,40.231971],[-114.046683,40.116931],[-114.046741,40.104231],[-114.046386,40.097896],[-114.046835,40.030131],[-114.046555,39.996899],[-114.047134,39.906037],[-114.047214,39.821024],[-114.047783,39.79416],[-114.047273,39.759413],[-114.047728,39.542742],[-114.047079,39.499943],[-114.049104,39.005509],[-114.048054,38.878693],[-114.048521,38.876197],[-114.049465,38.874949],[-114.049168,38.749951],[-114.049749,38.72921],[-114.049883,38.677365],[-114.050154,38.57292],[-114.049862,38.547764],[-114.049834,38.543784],[-114.050485,38.499955],[-114.050091,38.404673],[-114.05012,38.404536],[-114.049417,38.2647],[-114.050138,38.24996],[-114.049903,38.148601],[-114.050423,37.999961],[-114.049658,37.881368],[-114.049928,37.852508],[-114.049677,37.823645],[-114.048473,37.809861],[-114.049919,37.765586],[-114.051109,37.756276],[-114.05167,37.746958],[-114.051785,37.746249],[-114.051728,37.745997],[-114.052472,37.604776],[-114.052962,37.592783],[-114.052689,37.517859],[-114.052718,37.517264],[-114.052685,37.502513],[-114.052701,37.492014],[-114.052448,37.43144],[-114.051765,37.418083],[-114.051927,37.370734],[-114.051927,37.370459],[-114.0518,37.293548],[-114.0518,37.293044],[-114.051974,37.284511],[-114.051974,37.283848],[-114.051405,37.233854],[-114.051673,37.172368],[-114.052179,37.14711],[-114.051867,37.134292],[-114.052827,37.103961],[-114.051822,37.090976],[-114.051749,37.088434],[-114.0506,37.000396],[-114.049995,36.957769],[-114.050619,36.843141],[-114.050619,36.843128],[-114.050606,36.800184],[-114.050562,36.656259],[-114.050167,36.624978],[-114.04966,36.621113],[-114.048476,36.49998],[-114.046488,36.473449],[-114.045829,36.442973],[-114.045806,36.391071],[-114.047584,36.325573],[-114.046935,36.315449],[-114.048515,36.289598],[-114.048226,36.268874],[-114.047106,36.250591],[-114.046743,36.245246],[-114.046838,36.194069],[-114.060302,36.189363],[-114.068027,36.180663],[-114.088954,36.144381],[-114.09987,36.121654],[-114.103222,36.120176],[-114.111011,36.119875],[-114.120862,36.114596],[-114.123144,36.111576],[-114.123975,36.106515],[-114.123221,36.104746],[-114.117459,36.100893],[-114.114165,36.096982],[-114.114531,36.095217],[-114.136896,36.059467],[-114.138203,36.053161],[-114.137188,36.046785],[-114.138202,36.041284],[-114.148191,36.028013],[-114.151725,36.024563],[-114.15413,36.023862],[-114.166465,36.027738],[-114.176824,36.027651],[-114.19238,36.020993],[-114.21369,36.015613],[-114.233289,36.014289],[-114.238799,36.014561],[-114.252651,36.020193],[-114.263146,36.025937],[-114.266721,36.029238],[-114.270645,36.03572],[-114.280202,36.046362],[-114.314028,36.058165],[-114.315557,36.059494],[-114.316109,36.063109],[-114.314206,36.066619],[-114.307879,36.071291],[-114.305738,36.074882],[-114.30843,36.082443],[-114.328777,36.105501],[-114.337273,36.10802],[-114.363109,36.130246],[-114.372106,36.143114],[-114.405475,36.147371],[-114.412373,36.147254],[-114.41695,36.145761],[-114.427169,36.136305],[-114.446605,36.12597],[-114.448654,36.12641],[-114.453325,36.130726],[-114.458369,36.138586],[-114.463637,36.139695],[-114.470152,36.138801],[-114.487034,36.129396],[-114.49612,36.12785],[-114.502172,36.128796],[-114.504442,36.129741],[-114.505766,36.131444],[-114.506144,36.134659],[-114.505387,36.137496],[-114.50482,36.142414],[-114.504631,36.145629],[-114.506711,36.148277],[-114.511721,36.150956],[-114.545789,36.152248],[-114.572031,36.15161],[-114.597212,36.142103],[-114.608264,36.133949],[-114.616694,36.130101],[-114.621883,36.13213],[-114.627855,36.141012],[-114.631716,36.142306],[-114.65995,36.124145],[-114.66289,36.119932],[-114.666538,36.117343],[-114.709771,36.107742],[-114.717293,36.107686],[-114.736165,36.104367],[-114.747079,36.097005],[-114.753638,36.090705],[-114.755618,36.087166],[-114.755491,36.081601],[-114.754099,36.07944],[-114.743342,36.070535],[-114.736253,36.05847],[-114.736738,36.054349],[-114.740375,36.049258],[-114.740375,36.043682],[-114.740617,36.041015],[-114.739405,36.037863],[-114.734314,36.035681],[-114.730435,36.031317],[-114.729707,36.028166],[-114.731162,36.021862],[-114.740522,36.013336],[-114.742779,36.009963],[-114.743243,36.00653],[-114.743756,35.985095],[-114.740595,35.975656],[-114.729941,35.962183],[-114.728318,35.95629],[-114.731159,35.943916],[-114.729356,35.941413],[-114.715692,35.934709],[-114.707526,35.92806],[-114.708516,35.912313],[-114.700271,35.901772],[-114.68112,35.885364],[-114.679039,35.880046],[-114.677883,35.876346],[-114.67742,35.874728],[-114.678114,35.871953],[-114.679501,35.868023],[-114.68201,35.863284],[-114.697767,35.854844],[-114.699848,35.84837],[-114.699848,35.843283],[-114.69641,35.833784],[-114.69571,35.830601],[-114.70371,35.814585],[-114.70991,35.810185],[-114.71211,35.806185],[-114.69891,35.790185],[-114.701409,35.769086],[-114.695709,35.755986],[-114.697309,35.733686],[-114.705309,35.711587],[-114.705409,35.708287],[-114.701208,35.701187],[-114.694108,35.695187],[-114.683208,35.689387],[-114.680607,35.685488],[-114.682207,35.678188],[-114.690008,35.664688],[-114.689407,35.651412],[-114.677107,35.641489],[-114.658206,35.619089],[-114.653406,35.610789],[-114.654306,35.59759],[-114.659606,35.58749],[-114.665649,35.580428],[-114.666184,35.577576],[-114.663005,35.56369],[-114.662005,35.545491],[-114.660205,35.539291],[-114.657405,35.536391],[-114.656905,35.534391],[-114.658005,35.530491],[-114.663105,35.524491],[-114.673805,35.517891],[-114.677205,35.513491],[-114.679205,35.499992],[-114.677643,35.489742],[-114.672901,35.481708],[-114.666377,35.466856],[-114.6645,35.449497],[-114.662125,35.444241],[-114.652005,35.429165],[-114.627137,35.409504],[-114.611435,35.369056],[-114.604314,35.353584],[-114.595931,35.325234],[-114.597503,35.296954],[-114.587129,35.262376],[-114.583111,35.23809],[-114.583559,35.22993],[-114.579963,35.20964],[-114.574835,35.205898],[-114.572119,35.200591],[-114.569238,35.18348],[-114.569569,35.163053],[-114.572747,35.138725],[-114.578524,35.12875],[-114.58774,35.123729],[-114.59912,35.12105],[-114.619905,35.121632],[-114.629934,35.118272],[-114.644352,35.105904],[-114.646759,35.101872],[-114.642831,35.096503],[-114.622517,35.088703],[-114.613132,35.083097],[-114.604736,35.07483],[-114.602908,35.068588],[-114.603619,35.064226],[-114.606694,35.058941],[-114.627124,35.044721],[-114.632429,35.037586],[-114.636893,35.028367],[-114.638023,35.020556],[-114.636674,35.008807],[-114.633013,35.002085],[-114.804249,35.139689],[-114.80503,35.140284],[-114.925381,35.237039],[-114.92548,35.237054],[-114.942216,35.249994],[-115.043812,35.332012],[-115.098018,35.37499],[-115.102881,35.379371],[-115.125816,35.39694],[-115.145813,35.413182],[-115.146788,35.413662],[-115.160068,35.424129],[-115.160599,35.424313],[-115.225273,35.475907],[-115.271342,35.51266],[-115.303743,35.538207],[-115.388866,35.605171],[-115.391535,35.607271],[-115.393996,35.609344],[-115.404537,35.617605],[-115.406079,35.618613],[-115.412908,35.624981],[-115.500832,35.693382],[-115.625838,35.792013],[-115.627386,35.793846],[-115.647202,35.808995],[-115.647683,35.809358],[-115.64802,35.809629],[-115.669005,35.826515],[-115.689302,35.842003],[-115.750844,35.889287],[-115.845984,35.964207],[-115.852908,35.96966],[-115.892975,35.999967],[-115.912858,36.015359],[-116.093601,36.155805],[-116.097216,36.158346],[-116.250869,36.276979],[-116.375875,36.372562],[-116.38034,36.374955],[-116.488233,36.459097],[-116.500882,36.468223],[-116.541983,36.499952],[-117.000895,36.847694],[-117.066728,36.896354],[-117.131975,36.945777],[-117.166,36.971224],[-117.244917,37.030244],[-117.266046,37.04491],[-117.375905,37.126843],[-117.500117,37.22038],[-117.500909,37.220282],[-117.540885,37.249931],[-117.581418,37.278936],[-117.68061,37.353399],[-117.712358,37.374931],[-117.832726,37.464929],[-117.875927,37.497267],[-117.904625,37.515836],[-117.975776,37.569293],[-118.039849,37.615245],[-118.039798,37.615273],[-118.052189,37.62493],[-118.250947,37.768616],[-118.4278,37.89623],[-118.500958,37.949019],[-118.571958,37.99993],[-118.62159,38.034389],[-118.714312,38.102185],[-118.746598,38.124926],[-118.771867,38.141871],[-118.859087,38.204808],[-118.922518,38.249919],[-118.949673,38.26894],[-119.000975,38.303675],[-119.030078,38.325181],[-119.082358,38.361267],[-119.097161,38.372853],[-119.125982,38.39317],[-119.156983,38.414739],[-119.234966,38.468997],[-119.250988,38.48078],[-119.279262,38.499914],[-119.328411,38.534773],[-119.333423,38.538328],[-119.370117,38.563281],[-119.375994,38.566793],[-119.450623,38.619965],[-119.450612,38.619964],[-119.494022,38.649734],[-119.494183,38.649852],[-119.585437,38.713212],[-119.587066,38.714345],[-119.587679,38.714734],[-119.904315,38.933324],[-120.001014,38.999574],[-120.002461,39.067489],[-120.003402,39.112687],[-120.004504,39.165599],[-120.005746,39.22521],[-120.005743,39.228664],[-120.005142,39.291258],[-120.005414,39.313345],[-120.005413,39.313848],[-120.00532,39.31635],[-120.005316,39.316453],[-120.00471,39.330488],[-120.00443,39.374908],[-120.003117,39.445044],[-120.003116,39.445113],[-120.00174,39.538852],[-120.001319,39.722416],[-120.001319,39.72242],[-120.000502,39.779956],[-120.000607,39.780779],[-119.999733,39.851406],[-119.997634,39.956505],[-119.997291,40.071803],[-119.997175,40.077245],[-119.997234,40.091591],[-119.997124,40.126363],[-119.996183,40.262461],[-119.996182,40.263532],[-119.996155,40.32125],[-119.996155,40.321838],[-119.995926,40.499901],[-119.997533,40.720992],[-119.998479,40.749899],[-119.999231,40.865899],[-119.999232,40.867454],[-119.999358,40.873101],[-119.999866,41.183974],[-119.999471,41.499894],[-119.99828,41.618765],[-119.998855,41.624893],[-119.998287,41.749892],[-119.999276,41.874891],[-119.999168,41.99454],[-119.986678,41.995842],[-119.876054,41.997199],[-119.872929,41.997641],[-119.848907,41.997281],[-119.790087,41.997544],[-119.72573,41.996296],[-119.444598,41.995478],[-119.360177,41.994384],[-119.324181,41.994206],[-119.251033,41.993843],[-119.231876,41.994212],[-119.20828,41.993177],[-119.001022,41.993793],[-118.795612,41.992394],[-118.777228,41.992671],[-118.775869,41.992692],[-118.696409,41.991794],[-118.601806,41.993895],[-118.501002,41.995446],[-118.197189,41.996995],[-117.873467,41.998335],[-117.625973,41.998102],[-117.623731,41.998467],[-117.443062,41.999659],[-117.403613,41.99929],[-117.217551,41.999887],[-117.197798,42.00038],[-117.068613,42.000035],[-117.055402,41.99989],[-117.04891,41.998983],[-117.040906,41.99989],[-117.026222,42.000252],[-117.018294,41.999358],[-117.009255,41.998127],[-116.969156,41.998991],[-116.62677,41.99775],[-116.625947,41.997379],[-116.586937,41.99737],[-116.582217,41.997834],[-116.525319,41.997558],[-116.510452,41.997096],[-116.501741,41.997334],[-116.499777,41.99674],[-116.485823,41.996861],[-116.483094,41.996885],[-116.463528,41.996547],[-116.368478,41.996281],[-116.332763,41.997283],[-116.163931,41.997555],[-116.160833,41.997508],[-116.038602,41.99746],[-116.03857,41.997413],[-116.030754,41.997399],[-116.030758,41.997383],[-116.01896,41.997762],[-116.018945,41.997722],[-116.012219,41.998048],[-116.012212,41.998035],[-115.98688,41.998534],[-115.887612,41.998048],[-115.879596,41.997891],[-115.870181,41.996766],[-115.625914,41.997415],[-115.586849,41.996884],[-115.313877,41.996103],[-115.254333,41.996721],[-115.250795,41.996156],[-115.038256,41.996012],[-115.031783,41.996008],[-114.914187,41.999909],[-114.89921,41.999909],[-114.875877,42.001319],[-114.831077,42.002207],[-114.806384,42.001822],[-114.720715,41.998231],[-114.598267,41.994511],[-114.498259,41.994599],[-114.498243,41.994636],[-114.467581,41.995492],[-114.281855,41.994214],[-114.107428,41.993965],[-114.107259,41.993831],[-114.061763,41.993939],[-114.061774,41.993797],[-114.048257,41.993814],[-114.048246,41.993721],[-114.041723,41.99372],[-114.039648,41.884816],[-114.041107,41.850573],[-114.041152,41.850595],[-114.039901,41.753781],[-114.039968,41.62492],[-114.040437,41.615377],[-114.040942,41.499921],[-114.040231,41.49169],[-114.041396,41.219958],[-114.042553,41.210923],[-114.041447,41.207752],[-114.042145,40.999926]]]}}]}","volume":"64","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleishman, Erica 0000-0003-4435-3134","orcid":"https://orcid.org/0000-0003-4435-3134","contributorId":215096,"corporation":false,"usgs":false,"family":"Fleishman","given":"Erica","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":761617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leinwand, Ian I.F.","contributorId":176527,"corporation":false,"usgs":false,"family":"Leinwand","given":"Ian I.F.","affiliations":[],"preferred":false,"id":761618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flather, Curtis H.","contributorId":177590,"corporation":false,"usgs":false,"family":"Flather","given":"Curtis","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":761619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fogarty, Frank A. 0000-0001-5857-1381","orcid":"https://orcid.org/0000-0001-5857-1381","contributorId":215097,"corporation":false,"usgs":false,"family":"Fogarty","given":"Frank","email":"","middleInitial":"A.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":761621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leu, Matthias 0000-0002-4290-7212","orcid":"https://orcid.org/0000-0002-4290-7212","contributorId":194938,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":761622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Noon, Barry R.","contributorId":198981,"corporation":false,"usgs":false,"family":"Noon","given":"Barry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":761623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wohlfeil, M.E. 0000-0002-7511-4059","orcid":"https://orcid.org/0000-0002-7511-4059","contributorId":215098,"corporation":false,"usgs":false,"family":"Wohlfeil","given":"M.E.","email":"","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":761624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wood, David J. A. 0000-0003-4315-5160 dwood@usgs.gov","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":177588,"corporation":false,"usgs":true,"family":"Wood","given":"David","email":"dwood@usgs.gov","middleInitial":"J. A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":761625,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203056,"text":"70203056 - 2019 - Satellite tracking of gulls and genomic characterization of fecal bacteria reveals environmentally mediated acquisition and dispersal of antimicrobial resistant Escherichia coli on the Kenai Peninsula, Alaska","interactions":[],"lastModifiedDate":"2019-07-23T13:33:36","indexId":"70203056","displayToPublicDate":"2019-04-13T08:04:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Satellite tracking of gulls and genomic characterization of fecal bacteria reveals environmentally mediated acquisition and dispersal of antimicrobial resistant Escherichia coli on the Kenai Peninsula, Alaska","docAbstract":"Gulls (Larus spp.) have frequently been reported to carry Escherichia coli exhibiting antimicrobial resistance (AMR E. coli); however, the pathways governing the acquisition and dispersal of such bacteria are not well-described. We equipped 17 landfill-foraging gulls with satellite transmitters and collected gull fecal samples longitudinally from four locations on the Kenai Peninsula, Alaska to assess: 1) gull attendance and transitions between sites, 2) spatiotemporal prevalence of fecally-shed AMR E. coli, and 3) genomic relatedness of AMR E. coli isolates among sites. We also sampled Pacific salmon (Oncorhynchus spp.) harvested as part of personal-use dipnet fisheries at two sites to assess potential contamination with AMR E. coli. Among our study sites, marked gulls most commonly occupied the lower Kenai River (61% of site locations) followed by the Soldotna landfill (11%), lower Kasilof River (5%), and upper Kenai River (<1%). Gulls primarily moved between the Soldotna landfill and the lower Kenai River (94% of transitions among sites), which were also the two locations with the highest prevalence of AMR E. coli. There was relatively high spatial and temporal variability in AMR E. coli prevalence in gull feces and there was no evidence of contamination on salmon harvested in personal-use fisheries. We identified E. coli sequence types and AMR genes of clinical importance, with some isolates possessing genes associated with resistance to as many as eight antibiotic classes. Our findings suggest that gulls acquire AMR E. coli at habitats with anthropogenic inputs and subsequent movements may represent pathways through which AMR is dispersed.","language":"English","doi":"10.1111/mec.15101","usgsCitation":"Ahlstrom, C., Bonnedahl, J., Woksepp, H., Hernandez, J., Reed, J., Tibbitts, T.L., Olsen, B., Douglas, D., and Ramey, A.M., 2019, Satellite tracking of gulls and genomic characterization of fecal bacteria reveals environmentally mediated acquisition and dispersal of antimicrobial resistant Escherichia coli on the Kenai Peninsula, Alaska: Molecular Ecology, v. 28, no. 10, p. 2531-2545, https://doi.org/10.1111/mec.15101.","productDescription":"15 p.","startPage":"2531","endPage":"2545","ipdsId":"IP-104186","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437499,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FZ4OJW","text":"USGS data release","linkHelpText":"Tracking Data for Three Large-bodied Gull Species and Hybrids (Larus spp.)"},{"id":437498,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D72Q3W","text":"USGS data release","linkHelpText":"Sampling, antimicrobial resistance testing, and genomic typing of E. coli in gulls (Larus spp.) on the Kenai Peninsula, Alaska, 2016"},{"id":362968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.5509033203125,\n              60.06209914960289\n            ],\n            [\n              -149.76013183593747,\n              60.06209914960289\n            ],\n            [\n              -149.76013183593747,\n              60.576174726269265\n            ],\n            [\n              -151.5509033203125,\n              60.576174726269265\n            ],\n            [\n              -151.5509033203125,\n              60.06209914960289\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"28","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":760970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":760971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woksepp, Hanna","contributorId":207263,"corporation":false,"usgs":false,"family":"Woksepp","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":760972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Jorge","contributorId":203652,"corporation":false,"usgs":false,"family":"Hernandez","given":"Jorge","affiliations":[{"id":36674,"text":"Department of Microbiology, Kalmar County Hospital, Kalmar, Sweden","active":true,"usgs":false}],"preferred":false,"id":760973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, John 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":214852,"corporation":false,"usgs":true,"family":"Reed","given":"John","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":760974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":760975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olsen, Bjorn","contributorId":214853,"corporation":false,"usgs":false,"family":"Olsen","given":"Bjorn","email":"","affiliations":[{"id":39125,"text":"Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":760976,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":760977,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":760978,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70217883,"text":"70217883 - 2019 - A framework for characterising and evaluating the effectiveness of environmental modelling","interactions":[],"lastModifiedDate":"2021-02-09T13:22:03.223877","indexId":"70217883","displayToPublicDate":"2019-04-13T07:20:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"A framework for characterising and evaluating the effectiveness of environmental modelling","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Environmental modelling is transitioning from the traditional paradigm that focuses on the model and its quantitative performance to a more holistic paradigm that recognises successful model-based outcomes are closely tied to undertaking modelling as a social process, not just as a technical procedure. This paper redefines evaluation as a multi-dimensional and multi-perspective concept, and proposes a more complete framework for identifying and measuring the effectiveness of modelling that serves the new paradigm. Under this framework, evaluation considers a broader set of success criteria, and emphasises the importance of contextual factors in determining the relevance and outcome of the criteria. These evaluation criteria are grouped into eight categories: project efficiency, model accessibility, credibility, saliency, legitimacy, satisfaction, application, and impact. Evaluation should be part of an iterative and adaptive process that attempts to improve model-based outcomes and foster pathways to better futures.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2019.04.008","usgsCitation":"Hamilton, S.H., Fu, B., Guillaume, J., Badham, J., Elsawah, S., Gober, P., Hunt, R., Iwanaga, T., Jakeman, A.J., Ames, D.P., Curtis, A., Hill, M.C., Pierce, S.A., and Zare, F., 2019, A framework for characterising and evaluating the effectiveness of environmental modelling: Environmental Modelling and Software, v. 118, p. 83-98, https://doi.org/10.1016/j.envsoft.2019.04.008.","productDescription":"16 p.","startPage":"83","endPage":"98","ipdsId":"IP-102391","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467706,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2019.04.008","text":"Publisher Index Page"},{"id":383148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hamilton, Serena H","contributorId":248834,"corporation":false,"usgs":false,"family":"Hamilton","given":"Serena","email":"","middleInitial":"H","affiliations":[{"id":50035,"text":"School of Science, Edith Cowan University, Joondalup, WA, Australia","active":true,"usgs":false}],"preferred":false,"id":810030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fu, Baihua 0000-0003-2494-0518","orcid":"https://orcid.org/0000-0003-2494-0518","contributorId":174165,"corporation":false,"usgs":false,"family":"Fu","given":"Baihua","email":"","affiliations":[],"preferred":false,"id":810031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guillaume, Joseph H. A.","contributorId":248835,"corporation":false,"usgs":false,"family":"Guillaume","given":"Joseph H. A.","affiliations":[{"id":50037,"text":"Water and Development Research Group, Aalto University, Finland","active":true,"usgs":false}],"preferred":false,"id":810032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Badham, Jennifer","contributorId":248836,"corporation":false,"usgs":false,"family":"Badham","given":"Jennifer","email":"","affiliations":[{"id":50038,"text":"Queens University, Belfast BT9 7BK, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":810033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elsawah, Sondoss","contributorId":146686,"corporation":false,"usgs":false,"family":"Elsawah","given":"Sondoss","affiliations":[],"preferred":false,"id":810034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gober, Patricia","contributorId":248837,"corporation":false,"usgs":false,"family":"Gober","given":"Patricia","email":"","affiliations":[{"id":50039,"text":"School of Geographical Sciences and Urban Planning, Arizona State University, Tempe AZ, USA","active":true,"usgs":false}],"preferred":false,"id":810035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanaga, Takuya","contributorId":248838,"corporation":false,"usgs":false,"family":"Iwanaga","given":"Takuya","email":"","affiliations":[{"id":50040,"text":"Fenner School of Environment & Society, Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":810037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jakeman, Anthony J. 0000-0001-5282-2215","orcid":"https://orcid.org/0000-0001-5282-2215","contributorId":173848,"corporation":false,"usgs":false,"family":"Jakeman","given":"Anthony","email":"","middleInitial":"J.","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":810038,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ames, Daniel P.","contributorId":204468,"corporation":false,"usgs":false,"family":"Ames","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":810039,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Curtis, Allan","contributorId":248839,"corporation":false,"usgs":false,"family":"Curtis","given":"Allan","email":"","affiliations":[{"id":50041,"text":"Charles Sturt University, Albury-Wodonga, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":810040,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hill, Mary C","contributorId":248840,"corporation":false,"usgs":false,"family":"Hill","given":"Mary","email":"","middleInitial":"C","affiliations":[{"id":50042,"text":"University of Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":810041,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pierce, Suzanne A","contributorId":191335,"corporation":false,"usgs":false,"family":"Pierce","given":"Suzanne","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":810042,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zare, Fateme","contributorId":248841,"corporation":false,"usgs":false,"family":"Zare","given":"Fateme","email":"","affiliations":[{"id":50040,"text":"Fenner School of Environment & Society, Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":810043,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70203044,"text":"70203044 - 2019 - Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?","interactions":[],"lastModifiedDate":"2020-02-06T10:32:17","indexId":"70203044","displayToPublicDate":"2019-04-12T16:24:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?","docAbstract":"The question of wetland connectivity is particularly relevant regarding depressional wetlands because these wetlands often seem to be “isolated” from other wetlands on a landscape. In this study, multi-element fingerprinting of soils was used to assess similarity in element composition of depressional-wetland soils as a measure of wetland connectivity. We determined the concentrations of 63 elements in the surface soil (top 10 cm) for ten sequences, each consisting of at least one recharge, one flow-through and one discharge depressional wetland in the Prairie Pothole Region of North Dakota. Across all wetlands, soil pH, organic matter content, and electrical conductivity were the most important variables explaining variation in element concentrations. Electrical conductivity and pH significantly increased along a recharge to flow-through to discharge gradient, as did concentrations of As, B, Ca, Co, Hf, Li, Mg, Na, S, Sb, and Sr. Concentrations of Ag, Cd, Cu, P, Pb, Rb, and Se showed the reverse pattern. Similarity-tree analysis revealed that recharge and discharge wetlands clustered in different groups, but that flow-through wetlands were distributed across the spectrum. Our study supports the idea that wetlands in the PPR are chemically connected through surface-water and groundwater flows, and erosional processes, but also behave as independent units within a larger hydrologic landscape.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01154-x","usgsCitation":"Xiaoyan Zhu, Yuan, Y., Mushet, D.M., and Marinus L. Otte, 2019, Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?: Wetlands, v. 39, p. 1015-1027, https://doi.org/10.1007/s13157-019-01154-x.","productDescription":"13 p.","startPage":"1015","endPage":"1027","ipdsId":"IP-099303","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.2669,47.3268],[-98.8466,47.327],[-98.8392,47.327],[-98.8232,47.3272],[-98.8152,47.3271],[-98.4991,47.327],[-98.467,47.3266],[-98.4677,47.2402],[-98.4685,46.9788],[-98.4412,46.9789],[-98.4396,46.6296],[-98.7894,46.6294],[-99.0379,46.6309],[-99.1616,46.6317],[-99.4122,46.6316],[-99.4498,46.6319],[-99.4477,46.8044],[-99.4476,46.9788],[-99.4821,46.9795],[-99.4824,47.0089],[-99.4822,47.0162],[-99.4821,47.0249],[-99.4826,47.0396],[-99.4827,47.1558],[-99.4801,47.3267],[-99.2669,47.3268]]]},\"properties\":{\"name\":\"Stutsman\",\"state\":\"ND\"}}]}","volume":"39","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Xiaoyan Zhu","contributorId":214830,"corporation":false,"usgs":false,"family":"Xiaoyan Zhu","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, Yuxiang","contributorId":214831,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuxiang","email":"","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marinus L. Otte","contributorId":214832,"corporation":false,"usgs":false,"family":"Marinus L. Otte","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204162,"text":"70204162 - 2019 - Bats in a changing landscape: Linking occupancy and traits of a diverse montane bat community to fire regime","interactions":[],"lastModifiedDate":"2019-07-10T09:19:39","indexId":"70204162","displayToPublicDate":"2019-04-12T14:25:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Bats in a changing landscape: Linking occupancy and traits of a diverse montane bat community to fire regime","docAbstract":"1. Wildfires are increasing in incidence and severity across the western US, leading to changes in forest structure and wildlife habitats. Knowledge of how species respond to fire-driven habitat changes in these landscapes is limited and generally disconnected from our understanding of adaptations that underpin responses to fire. \n2. We aimed to identify relationships between fire regime, physiographic and forest structure variables, and occupancy and functional traits of a diverse bat community, to inform forest management in a fire-prone landscape.\n3. We recorded bats acoustically at 83 sites (n = 249 recording nights) across the Plumas National Forest in the northern Sierra Nevada over 3 summers (2015-2017). We investigated relationships between fire regime, physiographic and forest structure and probability of bat occupancy for 9 species. We used fourth corner regression and RLQ analysis to identify ecomorphological traits (body mass; call frequency, bandwidth and duration; and open, edge or clutter (structurally complex vegetation) adapted foraging strategy) driving species-environment relationships across all 17 bat species. \n4. Relationships between bat traits and fire regime were driven by adaptations to diverse forest structure. Bats adapted to foraging in open habitats and emitting longer duration and narrow bandwidth calls were associated with higher severity and more frequent fires, and bats adapted to foraging in a more cluttered environment were negatively associated with fire. Relationships between edge-adapted bat species and fire were driven by prey preference or habitat availability and configuration at a landscape scale. \n5. Predicted increases in fire frequency and severity in the western US are likely to shift dominance in the bat community to species adapted to open environments and those able to exploit post-fire resource pulses (aquatic insects, beetles, snags). Managing for pyrodiversity within the western US is likely important for maintaining bat community diversity, as well as diversity of other biotic communities. Identifying trait-fire regime relationships will help forest managers develop appropriate management interventions and focus limited resources to provide for a broad range of species.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5121","usgsCitation":"Webb, E.B., Blakely, R., Kesler, D.C., Siegel, R.B., Barrios, D., and Johnson, J., 2019, Bats in a changing landscape: Linking occupancy and traits of a diverse montane bat community to fire regime: Ecology and Evolution, v. 9, no. 9, p. 5324-5337, https://doi.org/10.1002/ece3.5121.","productDescription":"14 p.","startPage":"5324","endPage":"5337","ipdsId":"IP-101397","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467707,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5121","text":"Publisher Index Page"},{"id":365391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":765758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, R.V.","contributorId":216844,"corporation":false,"usgs":false,"family":"Blakely","given":"R.V.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":765759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kesler, Dylan C.","contributorId":216845,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":765760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siegel, R. B.","contributorId":216846,"corporation":false,"usgs":false,"family":"Siegel","given":"R.","email":"","middleInitial":"B.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":765761,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrios, D.C.","contributorId":216847,"corporation":false,"usgs":false,"family":"Barrios","given":"D.C.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":765762,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, J.M.","contributorId":216848,"corporation":false,"usgs":false,"family":"Johnson","given":"J.M.","email":"","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":765763,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203030,"text":"sim3430 - 2019 - Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming","interactions":[],"lastModifiedDate":"2019-04-16T09:50:29","indexId":"sim3430","displayToPublicDate":"2019-04-12T10:57:51","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3430","displayTitle":"Stratigraphic and Structural Relations in Trench Exposures and Geomorphology at the Big Burn, Lily Lake, and Lester Ranch Sites, Bear River Fault Zone, Utah and Wyoming","title":"Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming","docAbstract":"<p>This report provides trench photomosaics, logs and related site information, age data, and earthquake event evidence from three paleoseismic trench sites on the Bear River Fault Zone. Our motivation for studying the Bear River Fault Zone—a nascent normal fault in the Rocky Mountains east of the Basin and Range physiographic province—is twofold: (1) the intriguing conclusion from previous work that the neotectonic history of the fault may have begun in the middle to late Holocene and consists of only two surface-rupturing earthquakes and (2) the question of whether large scarps (&gt;10 meters in height) observed along the fault represent net tectonic displacement, which, given a two-event history, would put the displacements among the largest in the Basin and Range region. In presenting our trench and initial geomorphic interpretations, this report lays the groundwork for further exploration of these issues.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3430","usgsCitation":"Hecker, S., DuRoss, C.B., Schwartz, D.P., Cinti, F.R., Civico, R., Lund, W.R., Hiscock, A.I., West, M.W., Wilcox, T., and Stoller, A.R., 2019, Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming: U.S. Geological Survey Scientific Investigations Map 3430, 8 p., 3 sheets, https://doi.org/10.3133/sim3430.","productDescription":"Report: 13 p.; Sheet 1: 58.03 x 27.83 in.; Sheet 2: 48.68 x 29.19 in.; Sheet 3: 52.58 x 28.94 in.","ipdsId":"IP-087181","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":362927,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet1.pdf","text":"Sheet 1","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 1"},{"id":362928,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet2.pdf","text":"Sheet 2","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 2"},{"id":362929,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet3.pdf","text":"Sheet 3","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 3"},{"id":362930,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3430/coverthb.jpg"},{"id":362926,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_pamphlet.pdf","text":"Pamphlet","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Bear River Fault Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.92483520507812,\n              40.69001034095325\n            ],\n            [\n              -110.60211181640624,\n              40.69001034095325\n            ],\n            [\n              -110.60211181640624,\n              41.20345619205131\n            ],\n            [\n              -110.92483520507812,\n              41.20345619205131\n            ],\n            [\n              -110.92483520507812,\n              40.69001034095325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\" href=\"https://earthquake.usgs.gov/contactus/menlo/menloloc.php\" target=\"_blank\" rel=\"noopener\">Director</a>,&nbsp;<br><a href=\"https://earthquake.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://earthquake.usgs.gov/\">Earthquake Science Center</a>—Menlo Park<br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>345 Middlefield Road, MS 977<br>Menlo Park, CA 94025</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-04-12","noUsgsAuthors":false,"publicationDate":"2019-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hecker, Suzanne 0000-0002-5054-372X","orcid":"https://orcid.org/0000-0002-5054-372X","contributorId":205568,"corporation":false,"usgs":true,"family":"Hecker","given":"Suzanne","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":760884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":760886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, David P. 0000-0001-5193-9200 dschwartz@usgs.gov","orcid":"https://orcid.org/0000-0001-5193-9200","contributorId":1940,"corporation":false,"usgs":true,"family":"Schwartz","given":"David","email":"dschwartz@usgs.gov","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":760845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cinti, Francesca R.","contributorId":214809,"corporation":false,"usgs":false,"family":"Cinti","given":"Francesca","email":"","middleInitial":"R.","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":760846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Civico, Riccardo","contributorId":214810,"corporation":false,"usgs":false,"family":"Civico","given":"Riccardo","email":"","affiliations":[{"id":39118,"text":"Istituto Nazionale di Geofisica e Vulcanologia","active":true,"usgs":false}],"preferred":false,"id":760847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lund, William R.","contributorId":197358,"corporation":false,"usgs":false,"family":"Lund","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiscock, Adam I.","contributorId":214811,"corporation":false,"usgs":false,"family":"Hiscock","given":"Adam","email":"","middleInitial":"I.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":760849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"West, Michael W.","contributorId":214812,"corporation":false,"usgs":false,"family":"West","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":39119,"text":"Michael W. West and Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":760850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilcox, Tarka","contributorId":214813,"corporation":false,"usgs":false,"family":"Wilcox","given":"Tarka","email":"","affiliations":[{"id":39120,"text":"Pacific Lutheran University","active":true,"usgs":false}],"preferred":false,"id":760851,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stoller, Alivia R.","contributorId":214814,"corporation":false,"usgs":false,"family":"Stoller","given":"Alivia","email":"","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":760852,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203782,"text":"70203782 - 2019 - Seasonality and prevalence of pollen collected from Hawaiian nectarivorous birds","interactions":[],"lastModifiedDate":"2019-06-12T10:58:29","indexId":"70203782","displayToPublicDate":"2019-04-12T10:57:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Seasonality and prevalence of pollen collected from Hawaiian nectarivorous birds","docAbstract":"Hawaiian nectarivorous forest birds play a vital ecological role as pollinators in Hawaiian ecosystems. However, little is known about what nectar resources are utilized by Hawai‘i’s nectarivorous birds, how seasonality influences nectar availability, and how nectar preference differs by bird species. We sampled pollen from the heads of ‘i‘iwi (Drepanis coccinea), ‘apapane (Himatione sanguinea), Hawai‘i ‘amakihi (Chlorodrepanis virens), and the non-native Japanese white-eye (Zosterops japonicas) captured at Hakalau Forest National Wildlife Refuge on Hawai‘i Island. ‘Ōhi‘a (Metrosideros polymorpha) was the most prevalent pollen species, observed throughout the sampling period while other pollen species were more seasonal in occurrence. Consistent with the peak flowering phenology of the plant species, pollen from koa (Acacia koa), māmane (Sophora chrysophylla), and gorse (Ulex europaeus) plant species were more commonly sampled from birds in the winter months, while ‘ōhelo (Vaccinium reticulatum), ‘ākala (Rubus hawaiensis), and blackberry (Rubus argutus) were more prevalent during the spring months. We also found an association between bird species and pollen resources, with ‘i‘iwi and Hawai‘i ‘amakihi having a higher diversity of pollen than ‘apapane and Japanese white-eye, which primarily had just ‘ōhi‘a. These results demonstrate that ‘ōhi‘a is likely the most important nectar resource for Hawai‘i’s nectar feeding birds, but seasonally abundant nectar may be important for some species.","language":"English","publisher":"BIOONE","doi":"10.2984/73.2.1","usgsCitation":"van Dyk, K., Paxton, K.L., Hart, P.J., and Paxton, E., 2019, Seasonality and prevalence of pollen collected from Hawaiian nectarivorous birds: Pacific Science, v. 73, no. 2, p. 187-197, https://doi.org/10.2984/73.2.1.","productDescription":"11 p.","startPage":"187","endPage":"197","ipdsId":"IP-099625","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":364608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-155.778234,20.245743],[-155.772734,20.245409],[-155.746893,20.232325],[-155.737004,20.222773],[-155.735822,20.212417],[-155.732704,20.205392],[-155.653966,20.16736],[-155.630382,20.146916],[-155.624565,20.145911],[-155.607797,20.137987],[-155.600909,20.126573],[-155.598033,20.124539],[-155.590923,20.122497],[-155.58168,20.123617],[-155.568368,20.130545],[-155.558933,20.13157],[-155.523661,20.120028],[-155.516795,20.11523],[-155.502561,20.114155],[-155.468211,20.104296],[-155.443957,20.095318],[-155.405459,20.078772],[-155.4024,20.075541],[-155.387578,20.067119],[-155.33021,20.038517],[-155.29548,20.024438],[-155.282629,20.021969],[-155.270316,20.014525],[-155.240933,19.990173],[-155.204486,19.969438],[-155.194593,19.958368],[-155.179939,19.949372],[-155.149215,19.922872],[-155.144394,19.920523],[-155.131235,19.906801],[-155.124618,19.897288],[-155.12175,19.886099],[-155.107541,19.872467],[-155.098716,19.867811],[-155.095032,19.867882],[-155.086341,19.855399],[-155.084357,19.849736],[-155.085674,19.838584],[-155.088979,19.826656],[-155.094414,19.81491],[-155.09207,19.799409],[-155.091216,19.776368],[-155.093517,19.771832],[-155.093387,19.737751],[-155.087118,19.728013],[-155.079426,19.726193],[-155.063972,19.728917],[-155.045382,19.739824],[-155.006423,19.739286],[-154.997278,19.72858],[-154.987168,19.708524],[-154.981102,19.690687],[-154.984718,19.672161],[-154.983778,19.641647],[-154.974342,19.633201],[-154.963933,19.627605],[-154.950359,19.626461],[-154.947874,19.62425],[-154.947718,19.621947],[-154.951014,19.613614],[-154.947106,19.604856],[-154.93394,19.597505],[-154.928205,19.592702],[-154.924422,19.586553],[-154.903542,19.570622],[-154.875,19.556797],[-154.852618,19.549172],[-154.837384,19.538354],[-154.826732,19.537626],[-154.814417,19.53009],[-154.809561,19.522377],[-154.809379,19.519086],[-154.822968,19.48129],[-154.838545,19.463642],[-154.86854,19.438126],[-154.887817,19.426425],[-154.928772,19.397646],[-154.944185,19.381852],[-154.964619,19.365646],[-154.980861,19.349291],[-155.020537,19.331317],[-155.061729,19.316636],[-155.113272,19.290613],[-155.1337,19.276099],[-155.159635,19.268375],[-155.172413,19.26906],[-155.187427,19.266156],[-155.19626,19.261295],[-155.205892,19.260907],[-155.243961,19.271313],[-155.264619,19.274213],[-155.296761,19.266289],[-155.303808,19.261835],[-155.31337,19.250698],[-155.341268,19.234039],[-155.349148,19.217756],[-155.360631,19.20893],[-155.378638,19.202435],[-155.390701,19.201171],[-155.417369,19.187858],[-155.427093,19.179546],[-155.432519,19.170623],[-155.453516,19.151952],[-155.465663,19.146964],[-155.505281,19.137908],[-155.51474,19.132501],[-155.51214,19.128174],[-155.512137,19.124296],[-155.519652,19.117025],[-155.526136,19.115889],[-155.528902,19.11371],[-155.544806,19.091059],[-155.551129,19.08878],[-155.557817,19.08213],[-155.555326,19.069377],[-155.555177,19.053932],[-155.557371,19.046565],[-155.566446,19.032531],[-155.576599,19.027412],[-155.581903,19.02224],[-155.596032,18.998833],[-155.596521,18.980654],[-155.601866,18.971572],[-155.613966,18.970399],[-155.625256,18.961951],[-155.625,18.959934],[-155.638054,18.941723],[-155.658486,18.924835],[-155.672005,18.917466],[-155.681825,18.918694],[-155.687716,18.923358],[-155.690171,18.932195],[-155.693117,18.940542],[-155.726043,18.969437],[-155.763598,18.981837],[-155.806109,19.013967],[-155.853943,19.023762],[-155.88155,19.036644],[-155.884077,19.039266],[-155.886278,19.05576],[-155.903693,19.080777],[-155.908355,19.081138],[-155.921389,19.121183],[-155.917292,19.155963],[-155.903339,19.217792],[-155.90491,19.230147],[-155.902565,19.258427],[-155.895435,19.274639],[-155.890842,19.298905],[-155.887356,19.337101],[-155.888701,19.348031],[-155.898792,19.377984],[-155.913849,19.401107],[-155.909087,19.415455],[-155.921707,19.43055],[-155.924269,19.438794],[-155.925166,19.468081],[-155.922609,19.478611],[-155.924124,19.481406],[-155.930523,19.484921],[-155.935641,19.485628],[-155.936403,19.481905],[-155.939145,19.481577],[-155.95149,19.486649],[-155.952897,19.488805],[-155.953663,19.510003],[-155.960457,19.546612],[-155.962264,19.551779],[-155.965211,19.554745],[-155.96935,19.555963],[-155.970969,19.586328],[-155.978206,19.608159],[-155.997728,19.642816],[-156.028982,19.650098],[-156.032928,19.653905],[-156.034994,19.65936],[-156.033326,19.66923],[-156.027427,19.672154],[-156.029281,19.678908],[-156.036079,19.690252],[-156.04796,19.698938],[-156.051652,19.703649],[-156.052485,19.718667],[-156.064364,19.730766],[-156.05722,19.742536],[-156.052315,19.756836],[-156.049651,19.780452],[-156.021732,19.8022],[-156.006267,19.81758],[-155.982821,19.845651],[-155.976651,19.85053],[-155.964817,19.855183],[-155.949251,19.857034],[-155.945297,19.853443],[-155.940311,19.852305],[-155.925843,19.858928],[-155.926938,19.870221],[-155.92549,19.875],[-155.915662,19.887126],[-155.901987,19.912081],[-155.894099,19.923135],[-155.894474,19.926927],[-155.892533,19.932162],[-155.866919,19.954172],[-155.856588,19.968885],[-155.840708,19.976952],[-155.838692,19.975527],[-155.835312,19.976078],[-155.831948,19.982775],[-155.828965,19.995542],[-155.825473,20.025944],[-155.828182,20.035424],[-155.850385,20.062506],[-155.866931,20.078652],[-155.88419,20.10675],[-155.899149,20.145728],[-155.906035,20.205157],[-155.901452,20.235787],[-155.890663,20.25524],[-155.882631,20.263026],[-155.873921,20.267744],[-155.853293,20.271548],[-155.811459,20.26032],[-155.783242,20.246395],[-155.778234,20.245743]]],[[[-157.789581,21.438396],[-157.789734,21.437679],[-157.789276,21.435833],[-157.790543,21.434313],[-157.791718,21.434881],[-157.793045,21.43391],[-157.793167,21.43574],[-157.791565,21.43651],[-157.791779,21.437752],[-157.793289,21.437658],[-157.791779,21.438435],[-157.791092,21.438442],[-157.790741,21.43874],[-157.789581,21.438396]]],[[[-160.125,21.95909],[-160.122262,21.962881],[-160.112746,21.995245],[-160.09645,22.001489],[-160.072123,22.003334],[-160.058543,21.99638],[-160.051992,21.983681],[-160.052729,21.980321],[-160.056336,21.977939],[-160.060549,21.976729],[-160.063349,21.978354],[-160.065811,21.976562],[-160.078393,21.955153],[-160.085787,21.927295],[-160.080012,21.910808],[-160.079065,21.89608],[-160.098897,21.884711],[-160.124283,21.876789],[-160.147609,21.872814],[-160.16162,21.864746],[-160.174796,21.846923],[-160.189782,21.82245],[-160.205211,21.789053],[-160.200427,21.786479],[-160.205851,21.779518],[-160.218044,21.783755],[-160.23478,21.795418],[-160.24961,21.815145],[-160.244943,21.848943],[-160.231028,21.886263],[-160.228965,21.889117],[-160.21383,21.899193],[-160.205528,21.907507],[-160.202716,21.912422],[-160.190158,21.923592],[-160.167471,21.932863],[-160.13705,21.948632],[-160.127302,21.955508],[-160.125,21.95909]]],[[[-159.431707,22.220015],[-159.40732,22.230555],[-159.388119,22.223252],[-159.385977,22.220009],[-159.367563,22.214906],[-159.359842,22.214831],[-159.357227,22.217744],[-159.353795,22.217669],[-159.339964,22.208519],[-159.315613,22.186817],[-159.308855,22.155555],[-159.297808,22.149748],[-159.295875,22.144547],[-159.295271,22.13039],[-159.297143,22.113815],[-159.317451,22.080944],[-159.321667,22.063411],[-159.324775,22.05867],[-159.333267,22.054639],[-159.337996,22.046575],[-159.341401,22.028978],[-159.333224,21.973005],[-159.333109,21.964176],[-159.334714,21.961099],[-159.350828,21.950817],[-159.356613,21.939546],[-159.382349,21.924479],[-159.408284,21.897781],[-159.425862,21.884527],[-159.446599,21.871647],[-159.471962,21.88292],[-159.490914,21.888898],[-159.517973,21.890996],[-159.555415,21.891355],[-159.574991,21.896585],[-159.577784,21.900486],[-159.584272,21.899038],[-159.610241,21.898356],[-159.637849,21.917166],[-159.648132,21.93297],[-159.671872,21.957038],[-159.681493,21.960054],[-159.705255,21.963427],[-159.72014,21.970789],[-159.758218,21.980694],[-159.765735,21.986593],[-159.788139,22.018411],[-159.790932,22.031177],[-159.786543,22.06369],[-159.780096,22.072567],[-159.748159,22.100388],[-159.741223,22.115666],[-159.733457,22.142756],[-159.726043,22.152171],[-159.699978,22.165252],[-159.66984,22.170782],[-159.608794,22.207878],[-159.591596,22.219456],[-159.583965,22.22668],[-159.559643,22.229185],[-159.554166,22.228212],[-159.548594,22.226263],[-159.54115,22.216764],[-159.534594,22.219403],[-159.523769,22.217602],[-159.51941,22.215646],[-159.518348,22.211182],[-159.515574,22.208008],[-159.507811,22.205987],[-159.501055,22.211064],[-159.500821,22.225538],[-159.488558,22.23317],[-159.480158,22.232715],[-159.467007,22.226529],[-159.45619,22.228811],[-159.441809,22.226321],[-159.431707,22.220015]]],[[[-157.014553,21.185503],[-156.999108,21.182221],[-156.991318,21.18551],[-156.987768,21.18935],[-156.982343,21.207798],[-156.984464,21.210063],[-156.984032,21.212198],[-156.974002,21.218503],[-156.969064,21.217018],[-156.962847,21.212131],[-156.951654,21.191662],[-156.950808,21.182636],[-156.946159,21.175963],[-156.918248,21.168279],[-156.903466,21.16421],[-156.898174,21.16594],[-156.89613,21.169561],[-156.896537,21.172208],[-156.867944,21.16452],[-156.841592,21.167926],[-156.821944,21.174693],[-156.771495,21.180053],[-156.742231,21.176214],[-156.738341,21.17202],[-156.736648,21.16188],[-156.719386,21.163911],[-156.712696,21.161547],[-156.714158,21.152238],[-156.726033,21.13236],[-156.748932,21.1086],[-156.775995,21.089751],[-156.790815,21.081686],[-156.794136,21.075796],[-156.835351,21.06336],[-156.865795,21.057801],[-156.877137,21.0493],[-156.891946,21.051831],[-156.89517,21.055771],[-156.953719,21.067761],[-157.00295,21.083282],[-157.02617,21.089015],[-157.032045,21.091094],[-157.037667,21.097864],[-157.079696,21.105835],[-157.095373,21.10636],[-157.125,21.1026],[-157.143483,21.096632],[-157.254061,21.090601],[-157.298054,21.096917],[-157.313343,21.105755],[-157.299187,21.132488],[-157.299471,21.135972],[-157.293774,21.146127],[-157.284346,21.157755],[-157.276474,21.163175],[-157.274504,21.162762],[-157.259911,21.174875],[-157.254709,21.181376],[-157.251007,21.190952],[-157.25026,21.207739],[-157.256935,21.215665],[-157.261457,21.217661],[-157.263163,21.220873],[-157.26069,21.225684],[-157.257085,21.227268],[-157.241534,21.220969],[-157.226445,21.220185],[-157.212082,21.221848],[-157.202125,21.219298],[-157.192439,21.207644],[-157.185553,21.205602],[-157.157103,21.200706],[-157.148125,21.200745],[-157.144627,21.202555],[-157.128207,21.201488],[-157.113438,21.197375],[-157.097971,21.198012],[-157.064264,21.189076],[-157.053053,21.188754],[-157.047757,21.190739],[-157.039987,21.190909],[-157.014553,21.185503]]],[[[-156.544169,20.522802],[-156.550016,20.520273],[-156.559994,20.521892],[-156.586238,20.511711],[-156.603844,20.524372],[-156.631143,20.514943],[-156.642347,20.508285],[-156.647464,20.512017],[-156.668809,20.504738],[-156.682939,20.506775],[-156.703673,20.527237],[-156.702265,20.532451],[-156.696662,20.541646],[-156.6801,20.557021],[-156.651567,20.565574],[-156.614598,20.587109],[-156.610734,20.59377],[-156.576871,20.60657],[-156.56714,20.604895],[-156.553604,20.594729],[-156.543034,20.580115],[-156.542808,20.573674],[-156.548909,20.56859],[-156.556021,20.542657],[-156.553018,20.539382],[-156.540189,20.534741],[-156.539643,20.527644],[-156.544169,20.522802]]],[[[-156.612012,21.02477],[-156.612065,21.027273],[-156.606238,21.034371],[-156.592256,21.03288],[-156.580448,21.020172],[-156.562773,21.016167],[-156.549813,21.004939],[-156.546291,21.005082],[-156.528246,20.967757],[-156.518707,20.954662],[-156.512226,20.95128],[-156.510391,20.940358],[-156.507913,20.937886],[-156.49948,20.934577],[-156.495883,20.928005],[-156.493263,20.916011],[-156.481055,20.898199],[-156.474796,20.894546],[-156.422668,20.911631],[-156.386045,20.919563],[-156.374297,20.927616],[-156.370729,20.932669],[-156.352649,20.941414],[-156.345655,20.941596],[-156.342365,20.938737],[-156.332817,20.94645],[-156.324578,20.950184],[-156.307198,20.942739],[-156.286332,20.947701],[-156.275116,20.937361],[-156.263107,20.940888],[-156.242555,20.937838],[-156.230159,20.931936],[-156.230089,20.917864],[-156.226757,20.916677],[-156.222062,20.918309],[-156.217953,20.916573],[-156.216341,20.907035],[-156.173103,20.876926],[-156.170458,20.874605],[-156.166746,20.865646],[-156.132669,20.861369],[-156.129381,20.847513],[-156.115735,20.827301],[-156.100123,20.828502],[-156.090291,20.831872],[-156.059788,20.81054],[-156.033287,20.808246],[-156.003532,20.795545],[-156.002947,20.789418],[-155.987944,20.776552],[-155.984587,20.767496],[-155.986851,20.758577],[-155.985413,20.744245],[-155.987216,20.722717],[-155.991534,20.713654],[-156.00187,20.698064],[-156.01415,20.685681],[-156.020044,20.686857],[-156.030702,20.682452],[-156.040341,20.672719],[-156.043786,20.664902],[-156.053385,20.65432],[-156.059753,20.652044],[-156.081472,20.654387],[-156.089365,20.648519],[-156.120985,20.633685],[-156.129898,20.627523],[-156.142665,20.623605],[-156.144588,20.624032],[-156.148085,20.629067],[-156.156772,20.629639],[-156.169732,20.627358],[-156.173393,20.6241],[-156.184556,20.629719],[-156.192938,20.631769],[-156.210258,20.628518],[-156.225338,20.62294],[-156.236145,20.61595],[-156.265921,20.601629],[-156.284391,20.596488],[-156.288037,20.59203],[-156.293454,20.588783],[-156.302692,20.586199],[-156.322944,20.588273],[-156.351716,20.58697],[-156.359634,20.581977],[-156.370725,20.57876],[-156.377633,20.578427],[-156.415313,20.586099],[-156.417523,20.589728],[-156.415746,20.594044],[-156.417799,20.598682],[-156.423141,20.602079],[-156.427708,20.598873],[-156.431872,20.598143],[-156.438385,20.601337],[-156.444242,20.607941],[-156.442884,20.613842],[-156.450651,20.642212],[-156.445894,20.64927],[-156.443673,20.656018],[-156.448656,20.704739],[-156.451038,20.725469],[-156.452895,20.731287],[-156.458438,20.736676],[-156.462242,20.753952],[-156.462058,20.772571],[-156.464043,20.781667],[-156.473562,20.790756],[-156.489496,20.798339],[-156.501688,20.799933],[-156.506026,20.799463],[-156.515994,20.794234],[-156.525215,20.780821],[-156.537752,20.778408],[-156.631794,20.82124],[-156.678634,20.870541],[-156.688969,20.888673],[-156.687804,20.89072],[-156.688132,20.906325],[-156.691334,20.91244],[-156.697418,20.916368],[-156.69989,20.920629],[-156.69411,20.952708],[-156.680905,20.980262],[-156.665514,21.007054],[-156.652419,21.008994],[-156.645966,21.014416],[-156.642592,21.019936],[-156.644167,21.022312],[-156.642809,21.027583],[-156.619581,21.027793],[-156.612012,21.02477]]],[[[-157.010001,20.929757],[-156.989813,20.932127],[-156.971604,20.926254],[-156.937529,20.925274],[-156.91845,20.922546],[-156.897169,20.915395],[-156.837047,20.863575],[-156.825237,20.850731],[-156.809576,20.826036],[-156.808469,20.820396],[-156.809463,20.809169],[-156.817427,20.794606],[-156.838321,20.764575],[-156.846413,20.760201],[-156.851481,20.760069],[-156.869753,20.754701],[-156.890295,20.744855],[-156.909081,20.739533],[-156.949009,20.738997],[-156.96789,20.73508],[-156.984747,20.756677],[-156.994001,20.786671],[-156.988933,20.815496],[-156.991834,20.826603],[-157.006243,20.849603],[-157.010911,20.854476],[-157.054552,20.877219],[-157.059663,20.884634],[-157.061128,20.890635],[-157.062511,20.904385],[-157.05913,20.913407],[-157.035789,20.927078],[-157.025626,20.929528],[-157.010001,20.929757]]],[[[-158.044485,21.306011],[-158.0883,21.2988],[-158.1033,21.2979],[-158.1127,21.3019],[-158.1211,21.3169],[-158.1225,21.3224],[-158.111949,21.326622],[-158.114196,21.331123],[-158.119427,21.334594],[-158.125459,21.330264],[-158.13324,21.359207],[-158.1403,21.3738],[-158.149719,21.385208],[-158.161743,21.396282],[-158.1792,21.4043],[-158.181274,21.409626],[-158.181,21.420868],[-158.182648,21.430073],[-158.192352,21.44804],[-158.205383,21.459793],[-158.219446,21.46978],[-158.233,21.4876],[-158.231171,21.523857],[-158.23175,21.533035],[-158.234314,21.540058],[-158.250671,21.557373],[-158.27951,21.575794],[-158.277679,21.578789],[-158.254425,21.582684],[-158.190704,21.585892],[-158.17,21.5823],[-158.12561,21.586739],[-158.10672,21.596577],[-158.106689,21.603024],[-158.1095,21.6057],[-158.108185,21.607487],[-158.079895,21.628101],[-158.0668,21.6437],[-158.066711,21.65234],[-158.0639,21.6584],[-158.0372,21.6843],[-158.018127,21.699955],[-157.9923,21.708],[-157.98703,21.712494],[-157.968628,21.712704],[-157.947174,21.689568],[-157.939,21.669],[-157.9301,21.6552],[-157.924591,21.651183],[-157.9228,21.6361],[-157.9238,21.6293],[-157.910797,21.611183],[-157.900574,21.605885],[-157.87735,21.575277],[-157.878601,21.560181],[-157.872528,21.557568],[-157.8669,21.5637],[-157.85614,21.560661],[-157.85257,21.557514],[-157.836945,21.529945],[-157.837372,21.512085],[-157.849579,21.509598],[-157.852625,21.499971],[-157.84549,21.466747],[-157.84099,21.459483],[-157.82489,21.455379],[-157.8163,21.4502],[-157.8139,21.4403],[-157.8059,21.4301],[-157.786513,21.415633],[-157.779846,21.417309],[-157.774455,21.421352],[-157.772209,21.431236],[-157.774905,21.453698],[-157.772209,21.457741],[-157.764572,21.461335],[-157.754239,21.461335],[-157.737617,21.459089],[-157.731777,21.455944],[-157.731328,21.444713],[-157.73582,21.438424],[-157.740762,21.424048],[-157.741211,21.414614],[-157.7386,21.4043],[-157.730191,21.401871],[-157.728221,21.402104],[-157.726421,21.402845],[-157.724324,21.403311],[-157.723794,21.40329],[-157.723286,21.403227],[-157.722735,21.403121],[-157.722544,21.403036],[-157.721845,21.401596],[-157.721083,21.399541],[-157.7189,21.3961],[-157.7089,21.3833],[-157.7087,21.3793],[-157.7126,21.3689],[-157.7106,21.3585],[-157.7088,21.3534],[-157.6971,21.3364],[-157.6938,21.3329],[-157.6619,21.3131],[-157.6518,21.3139],[-157.652629,21.308709],[-157.6537,21.302],[-157.6946,21.2739],[-157.6944,21.2665],[-157.7001,21.264],[-157.7097,21.2621],[-157.7139,21.2638],[-157.7142,21.2665],[-157.7114,21.272],[-157.7122,21.2814],[-157.7143,21.2845],[-157.7213,21.2869],[-157.7572,21.278],[-157.765,21.2789],[-157.7782,21.2735],[-157.7931,21.2604],[-157.8096,21.2577],[-157.8211,21.2606],[-157.8241,21.2646],[-157.8253,21.2714],[-157.8319,21.2795],[-157.8457,21.29],[-157.89,21.3065],[-157.894518,21.319632],[-157.898969,21.327391],[-157.90482,21.329172],[-157.918939,21.318615],[-157.917921,21.313781],[-157.913469,21.310983],[-157.910925,21.305768],[-157.952263,21.306531],[-157.950736,21.312509],[-157.951881,21.318742],[-157.967971,21.327986],[-157.973334,21.327426],[-157.989424,21.317984],[-158.0245,21.3093],[-158.044485,21.306011]]]]},\"properties\":{\"name\":\"Hawaii\",\"nation\":\"USA  \"}}]}","volume":"73","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"van Dyk, Kathryn","contributorId":216182,"corporation":false,"usgs":false,"family":"van Dyk","given":"Kathryn","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":764110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":764111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":764112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paxton, Eben H. 0000-0001-5578-7689 epaxton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":438,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben H.","email":"epaxton@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":764109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203049,"text":"70203049 - 2019 - Advancing barrier island habitat mapping using landscape position information","interactions":[],"lastModifiedDate":"2019-08-19T16:56:44","indexId":"70203049","displayToPublicDate":"2019-04-11T13:59:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5754,"text":" Progress in Physical Geography: Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Advancing barrier island habitat mapping using landscape position information","docAbstract":"Barrier islands are dynamic ecosystems that change gradually from coastal processes, including currents and tides, and rapidly from episodic events, such as storms. These islands provide many important ecosystem services, including storm protection and erosion control to the mainland, habitat for fish and wildlife, and tourism. Habitat maps, developed by scientists, provide a critical tool for monitoring changes to these dynamic ecosystems. Barrier island monitoring often requires custom habitat maps due to several factors, including island size and the classification of unique geomorphology-based habitats, such as beach, dune, and barrier flats. In this study, we reviewed barrier-island-specific habitat mapping efforts and highlighted common habitat class types, source data, and mapping approaches. We also developed a framework for mapping geomorphology-based barrier island habitats using a rule-based, geographic object-based image analysis approach, which included the use of field data, tide data, high-resolution orthophotography, and lidar data. This framework integrates several barrier island mapping advancements with regard to the use of landscape position information for automated dune extraction and the use of Monte Carlo analyses for the treatment of elevation uncertainty for elevation-dependent habitats. Specifically, we used the uncertainty analyses to refine automated dune delineation based on elevation relative to extreme storm water levels and to increase the accuracy of intertidal and supratidal/upland habitat delineation. We found that dune extraction results were enhanced when elevation relative to storm water levels and visual interpretation were also applied. This framework could also be applied to beach–dune systems found along a mainland.","language":"English","publisher":"SAGE Publications","doi":"10.1177/0309133319839922","usgsCitation":"Enwright, N., Wang, L., Borchert, S., Day, R., Feher, L., and Osland, M., 2019, Advancing barrier island habitat mapping using landscape position information:  Progress in Physical Geography: Earth and Environment, v. 43, no. 3, p. 425-450, https://doi.org/10.1177/0309133319839922.","productDescription":"26 p.","startPage":"425","endPage":"450","ipdsId":"IP-101077","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437500,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S25ZKX","text":"USGS data release","linkHelpText":"Using relative topography and elevation uncertainty to delineate dune habitat on barrier islands"},{"id":362957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.20854187011719,\n              30.221101852485987\n            ],\n            [\n              -88.06709289550781,\n              30.221101852485987\n            ],\n            [\n              -88.06709289550781,\n              30.282491622409413\n            ],\n            [\n              -88.20854187011719,\n              30.282491622409413\n            ],\n            [\n              -88.20854187011719,\n              30.221101852485987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Lei","contributorId":193279,"corporation":false,"usgs":false,"family":"Wang","given":"Lei","email":"","affiliations":[],"preferred":false,"id":760940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borchert, Sinéad M. 0000-0002-6665-7115","orcid":"https://orcid.org/0000-0002-6665-7115","contributorId":193278,"corporation":false,"usgs":false,"family":"Borchert","given":"Sinéad M.","affiliations":[],"preferred":false,"id":760941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":214840,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":214841,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":214842,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":760944,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204568,"text":"70204568 - 2019 - The rise of an apex predator following deglaciation","interactions":[],"lastModifiedDate":"2020-02-19T13:39:34","indexId":"70204568","displayToPublicDate":"2019-04-11T10:43:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"The rise of an apex predator following deglaciation","docAbstract":"<div id=\"ddi12908-sec-0001\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Aim</h3><p>Sea otters (<i>Enhydra lutris</i>) are an apex predator of the nearshore marine community and nearly went extinct at the turn of the 20th century. Reintroductions and legal protection allowed sea otters to re‐colonize much of their former range. Our objective was to chronicle the colonization of this apex predator in Glacier Bay, Alaska, to help understand the mechanisms that governed their successful colonization.</p></div><div id=\"ddi12908-sec-0002\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Location</h3><p>Glacier Bay is a tidewater glacier fjord in southeastern Alaska that was entirely covered by glaciers in the mid‐18th century. Since then, it has endured the fastest tidewater glacier retreat in recorded history.</p></div><div id=\"ddi12908-sec-0003\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Methods</h3><p>We collected and analysed several data sets, spanning 20&nbsp;years, to document the spatio‐temporal dynamics of an apex predator expanding into an area where they were formerly absent. We used novel quantitative tools to model the occupancy, abundance and colonization dynamics of sea otters, while accounting for uncertainty in the data collection process, the ecological process and model parameters.</p></div><div id=\"ddi12908-sec-0004\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Results</h3><p>Twenty years after sea otters were first observed colonizing Glacier Bay, they became one of the most abundant and widely distributed marine mammal. The population grew exponentially at a rate of 20% per year. They colonized Glacier Bay at a maximum rate of 6&nbsp;km per year, with faster colonization rates occurring early in the colonization process. During colonization, sea otters selected shallow areas, close to shore, with a steep bottom slope, and a relatively simple shoreline complexity index.</p></div><div id=\"ddi12908-sec-0005\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Main conclusions</h3><p>The growth and expansion of sea otters in Glacier Bay demonstrate how legal protection and translocation of apex predators can facilitate their successful establishment into a community in which they were formerly absent. The success of sea otters was, in part, a consequence of habitat that was left largely unperturbed by humans for the past 250&nbsp;years. Further, sea otters and other marine predators, whose distribution is limited by ice, have the potential to expand in distribution and abundance, reshaping future marine communities in the wake of deglaciation and global loss of sea ice.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12908","usgsCitation":"Hooten, M., and Esslinger, G.G., 2019, The rise of an apex predator following deglaciation: Diversity and Distributions, v. 25, no. 6, p. 895-908, https://doi.org/10.1111/ddi.12908.","productDescription":"14 p.","startPage":"895","endPage":"908","ipdsId":"IP-085724","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":460409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12908","text":"Publisher Index Page"},{"id":366213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.779541015625,\n              58.82511777083639\n            ],\n            [\n              -134.7802734375,\n              56.23724470041031\n            ],\n            [\n              -133.87939453125,\n              57.314657355733274\n            ],\n            [\n              -134.593505859375,\n              57.92068300017787\n            ],\n            [\n              -136.12060546875,\n              59.2377959767454\n            ],\n            [\n              -137.779541015625,\n              58.82511777083639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":767603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203037,"text":"70203037 - 2019 - Three-dimensional basin and fault structure from a detailed seismic velocity model  of Coachella Valley, Southern California","interactions":[],"lastModifiedDate":"2019-07-23T13:32:02","indexId":"70203037","displayToPublicDate":"2019-04-11T09:50:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional basin and fault structure from a detailed seismic velocity model  of Coachella Valley, Southern California","docAbstract":"The Coachella Valley in the northern Salton Trough is known to produce destructive earthquakes, making it a high seismic hazard area. Knowledge of the seismic velocity structure and geometry of the sedimentary basins and fault zones is required to improve earthquake hazard estimates in this region. We simultaneously inverted first P wave travel times from the Southern California Seismic Network (39,998 local earthquakes) and explosions (251 land/sea shots) from the 2011 Salton Seismic Imaging Project to obtain a 3-D seismic velocity model. Earthquakes with focal depths ≤10 km were selected to focus on the upper crustal structure. Strong lateral velocity contrasts in the top ~3 km correlate well with the surface geology, including the low-velocity (<5 km/s) sedimentary basin and the high-velocity crystalline basement rocks outside the valley. Sediment thickness is ~4 km in the southeastern valley near the Salton Sea and decreases to <2 km at the northwestern end of the valley. Eastward thickening of sediments toward the San Andreas fault within the valley defines Coachella Valley basin asymmetry. In the Peninsular Ranges, zones of relatively high seismic velocities (~6.4 km/s) between 2 to 4 km depth may be related to Late Cretaceous mylonite rocks or older inherited basement structures. Other high-velocity domains exist in the model down to 9 km depth and help define crustal heterogeneity. We identify a potential fault zone in Lost Horse Valley unassociated with mapped faults in Southern California from the combined interpretation of surface geology, seismicity, and lateral velocity changes in the model.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB016260","usgsCitation":"Ajala, R., Persaud, P., Stock, J.M., Fuis, G.S., Hole, J.A., Goldman, M., and Scheirer, D.S., 2019, Three-dimensional basin and fault structure from a detailed seismic velocity model  of Coachella Valley, Southern California: Journal of Geophysical Research, v. 124, no. 5, p. 4728-4750, https://doi.org/10.1029/2018JB016260.","productDescription":"23 p.","startPage":"4728","endPage":"4750","ipdsId":"IP-098981","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018jb016260","text":"External Repository"},{"id":362944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.4276123046875,\n              33.27543541298162\n            ],\n            [\n              -115.6805419921875,\n              33.27543541298162\n            ],\n            [\n              -115.6805419921875,\n              33.81110228864701\n            ],\n            [\n              -116.4276123046875,\n              33.81110228864701\n            ],\n            [\n              -116.4276123046875,\n              33.27543541298162\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Ajala, Rasheed 0000-0001-5650-8362","orcid":"https://orcid.org/0000-0001-5650-8362","contributorId":214826,"corporation":false,"usgs":false,"family":"Ajala","given":"Rasheed","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":760897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Persaud, Patricia","contributorId":175210,"corporation":false,"usgs":false,"family":"Persaud","given":"Patricia","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":760898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Joann M.","contributorId":198445,"corporation":false,"usgs":false,"family":"Stock","given":"Joann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":760899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuis, Gary S. 0000-0002-3078-1544","orcid":"https://orcid.org/0000-0002-3078-1544","contributorId":204656,"corporation":false,"usgs":true,"family":"Fuis","given":"Gary","email":"","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":760900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hole, John A.","contributorId":198446,"corporation":false,"usgs":false,"family":"Hole","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":760901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldman, Mark 0000-0002-0802-829X","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205863,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":760902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scheirer, Daniel S. 0000-0001-8015-7072 dscheirer@usgs.gov","orcid":"https://orcid.org/0000-0001-8015-7072","contributorId":214825,"corporation":false,"usgs":true,"family":"Scheirer","given":"Daniel","email":"dscheirer@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":760896,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203052,"text":"70203052 - 2019 - To forage or flee: Lessons from an elk migration near a protected area","interactions":[],"lastModifiedDate":"2019-04-17T07:46:40","indexId":"70203052","displayToPublicDate":"2019-04-11T08:55:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"To forage or flee: Lessons from an elk migration near a protected area","docAbstract":"Alteration of wide-ranging wildlife migrations can drastically impact the structure and function of ecosystems, yet the causes and consequences of shifting migration patterns remain largely unknown. Management decisions made in one portion of a landscape may induce spatial and temporal shifts of wildlife use in another, creating tension among private, state, and federal lands with varying missions. Recent declines in migratory behavior have initiated studies focused primarily on spring migration, but the timing and benefits of autumn migration have received limited attention due to the difficulty in assessing the extreme asynchrony in autumnal events, although nutrition during this time period is crucial to winter survival and reproduction. Here, we used five years of data from 73 female elk (Cervus canadensis) which utilize a landscape managed by 4 federal agencies, a state, and private landowners, to identify the driving factors behind the initiation of fall migration in two subpopulations, one of which migrates to a protected area where hunting is prohibited. Most elk departed summer range prior to frost or snow, with 67% of elk that used the protected area migrating prior to the onset of archery hunting season (1 September), preemptively avoiding risk, while no elk from the other subpopulation left prior to archery season. However, departure from productive summer range prior to frost or snow, nearly two months before vegetation senescence led to an important tradeoff. Early migrants gave up 0.30% of late summer-fall integrated NDVI (iNDVI) per day when they moved to the safety of the protected area, leading to an average difference of 15.81% in iNDVI between an individual departing on 30 August (the mean departure date) versus an individual departing on 1 November. Our results suggest that in areas where migratory ungulates span multiple jurisdictions, the benefits of migratory behavior may be dramatically impacted by unevenly distributed anthropogenic disturbance. As this is a common scenario globally, our work highlights the urgent need to improve our understanding of subtle changes in migratory behavior, both spatially and temporally, which may erode the resilience of migration to future change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2693","usgsCitation":"Mikle, N., Graves, T.A., and Olexa, E.M., 2019, To forage or flee: Lessons from an elk migration near a protected area: Ecosphere, v. 10, no. 4, p. 1-15, https://doi.org/10.1002/ecs2.2693.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-083503","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2693","text":"Publisher Index Page"},{"id":362975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Southwest Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[-104.053107,42.499964],[-104.052776,42.25822],[-104.052793,42.249962],[-104.053125,42.249962],[-104.052761,42.170278],[-104.052547,42.166801],[-104.053001,42.137254],[-104.052738,42.133769],[-104.0526,42.124963],[-104.052954,42.089077],[-104.052967,42.075004],[-104.05288,42.021761],[-104.052729,42.016318],[-104.052704,42.001718],[-104.052699,41.998673],[-104.052761,41.994967],[-104.05283,41.9946],[-104.052856,41.975958],[-104.052734,41.973007],[-104.052991,41.914973],[-104.052931,41.906143],[-104.053026,41.885464],[-104.052774,41.733401],[-104.05283,41.697954],[-104.052913,41.64519],[-104.052945,41.638167],[-104.052975,41.622931],[-104.052735,41.613676],[-104.052859,41.592254],[-104.05254,41.564274],[-104.052531,41.552723],[-104.052584,41.55265],[-104.052692,41.541154],[-104.052686,41.539111],[-104.052476,41.522343],[-104.052478,41.515754],[-104.05234,41.417865],[-104.05216,41.407662],[-104.052287,41.393307],[-104.052288,41.393214],[-104.052687,41.330569],[-104.052324,41.321144],[-104.052476,41.320961],[-104.052568,41.316202],[-104.052453,41.278202],[-104.052574,41.278019],[-104.052666,41.275251],[-104.053514,41.157257],[-104.053142,41.114457],[-104.053083,41.104985],[-104.053025,41.090274],[-104.053177,41.089725],[-104.053097,41.018045],[-104.053158,41.016809],[-104.053249,41.001406],[-104.066961,41.001504],[-104.086068,41.001563],[-104.10459,41.001543],[-104.123586,41.001626],[-104.211473,41.001591],[-104.214191,41.001568],[-104.214692,41.001657],[-104.467672,41.001473],[-104.497058,41.001805],[-104.497149,41.001828],[-104.675999,41.000957],[-104.829504,40.99927],[-104.855273,40.998048],[-104.943371,40.998084],[-105.254779,40.99821],[-105.256527,40.998191],[-105.27686,40.998173],[-105.277138,40.998173],[-105.724804,40.99691],[-105.730421,40.996886],[-106.061181,40.996999],[-106.190554,40.997607],[-106.217573,40.997734],[-106.321165,40.999123],[-106.386356,41.001144],[-106.391852,41.001176],[-106.43095,41.001752],[-106.437419,41.001795],[-106.439563,41.001978],[-106.453859,41.002057],[-106.857773,41.002663],[-107.000606,41.003444],[-107.241194,41.002804],[-107.317794,41.002967],[-107.367443,41.003073],[-107.625624,41.002124],[-107.918421,41.002036],[-108.046539,41.002064],[-108.181227,41.000455],[-108.250649,41.000114],[-108.500659,41.000112],[-108.526667,40.999608],[-108.631108,41.000156],[-108.884138,41.000094],[-109.050076,41.000659],[-109.173682,41.000859],[-109.231985,41.002059],[-109.250735,41.001009],[-109.500694,40.999127],[-109.534926,40.998143],[-109.676421,40.998395],[-109.713877,40.998266],[-109.715409,40.998191],[-109.854302,40.997661],[-109.855299,40.997614],[-109.97553,40.997912],[-109.999838,40.99733],[-110.000708,40.997352],[-110.006495,40.997815],[-110.048476,40.997555]]]},\"properties\":{\"name\":\"Wyoming\",\"nation\":\"USA  \"}}]}","volume":"10","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mikle, Nathaniel 0000-0002-6529-8210 nmikle@usgs.gov","orcid":"https://orcid.org/0000-0002-6529-8210","contributorId":177026,"corporation":false,"usgs":true,"family":"Mikle","given":"Nathaniel","email":"nmikle@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Tabitha A. 0000-0001-5145-2400 tgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":5898,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha","email":"tgraves@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olexa, Edward M. 0000-0002-2000-6798 eolexa@usgs.gov","orcid":"https://orcid.org/0000-0002-2000-6798","contributorId":4448,"corporation":false,"usgs":true,"family":"Olexa","given":"Edward","email":"eolexa@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202819,"text":"cir1454 - 2019 - Rare earth element mineral deposits in the United States","interactions":[],"lastModifiedDate":"2019-04-16T10:13:54","indexId":"cir1454","displayToPublicDate":"2019-04-11T06:43:29","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1454","displayTitle":"Rare Earth Element Mineral Deposits in the United States","title":"Rare earth element mineral deposits in the United States","docAbstract":"<p>Because of their unique special chemical properties, many of the metals in the group of rare earth elements (REEs) have essential applications in 21st century technologies. Examples of products that use REEs are cell phones, computers, fluorescent and light-emitting-diode lights, flat-screen television and computer monitors, and in high-strength magnets used by clean energy technologies such as the generators of wind turbines and batteries of hybrid and electric vehicles. REEs are used in many defense applications, such as in components of jet engines, missile guidance systems, antimissile defense systems, satellites, and communication systems.</p><p>The rare earth elements have become vital to manufacturing numerous high-tech products, which has been accompanied by a large increase in their demand. At the same time, there has been concern by the United States and many other Nations about the near-monopoly of mining, processing, and supply of REEs from one Nation, China. Between 2011 and 2017, China produced approximately 84 percent of the world’s REEs, and during this time the United States only produced REEs between 2012 and 2015. The U.S. production came entirely from the Mountain Pass mine in California, providing only about 4 percent of the world REE supply. Because REEs are essential for technological applications and are primarily supplied by one Nation, there has been an increased concern in identifying new sources of REEs, including economic REE deposits.</p><p>In response to these concerns, since 2009, the U.S. Geological Survey (USGS) has conducted numerous studies focused on the distribution, geology, and potential resources for the REE-bearing mineral deposits in the United States. The basic characteristics of mineral deposit types that host REE enrichments in the United Sates are summarized in this report, with selected examples. Several types of REE-enriched mineral deposits are reviewed, including deposits in carbonatites, alkaline igneous rocks, sedimentary phosphate-rich rocks (phosphorite), regions containing REE-rich veins, iron oxide deposits containing REE-bearing apatite, monazite-xenotime-bearing placer deposits (heavy-mineral sands), and ion-adsorption clay deposits (REE in granite-derived regolith). A better understanding of these mineral deposits will assist in identifying domestic resources to help alleviate the dependence on imported REEs.</p><p>The economic development of REE mineral deposits is affected by many factors beyond mining, such as commodity prices and mineral processing costs. Most of the REEs are hosted by minerals that have complex chemical formulas; this presents more challenges to process and extract the REEs. Continued advancements and refinements in mineral processing techniques may allow REE deposits with complex mineralogy to be economically developed in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1454","usgsCitation":"Van Gosen, B.S., Verplanck, P.L., and Emsbo, Poul, 2019, Rare earth element mineral deposits in the United States (ver 1.1, April 15, 2019): U.S. Geological Survey Circular 1454, 16 p., https://doi.org/10.3133/cir1454.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"N","ipdsId":"IP-104756","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":362880,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1454/circ1454.pdf","text":"Report","size":"23.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1454"},{"id":362879,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1454/coverthb2.jpg"},{"id":362965,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1454/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"Circular 1454 version history"}],"country":"United States","edition":" Version 1.0: April 11, 2019; Version 1.1: April 15, 2019","contact":"<p>U.S. Geological Survey, <a data-mce-href=\"https://www.usgs.gov/energy-and-minerals/mineral-resources-program\" href=\"https://www.usgs.gov/energy-and-minerals/mineral-resources-program\">Mineral Resources Program</a><br>12201 Sunrise Valley Dr., MS–300<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Rare Earth Elements</li><li>Supply Concerns</li><li>Principal Rare Earth Element Minerals in Economic Nonfuel Mineral Deposits</li><li>Rare Earth Element Mineral Deposit Types in the United States</li><li>Summary</li><li>References</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-04-11","revisedDate":"2019-04-15","noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":202205,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emsbo, Poul 0000-0001-9421-201X","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":214535,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","affiliations":[],"preferred":false,"id":760142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203170,"text":"70203170 - 2019 - Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades","interactions":[],"lastModifiedDate":"2019-09-04T14:54:34","indexId":"70203170","displayToPublicDate":"2019-04-10T16:38:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades","docAbstract":"<div class=\"abstract toc-section\"><p>The Burmese python (<i>Python bivittatus</i>) is now established as a breeding population throughout south Florida, USA. However, the extent of the invasion, and the ecological impacts of this novel apex predator on animal communities are incompletely known, in large part because Burmese pythons (hereafter “pythons”) are extremely cryptic and there has been no efficient way to detect them. Pythons are recently confirmed nest predators of long-legged wading bird breeding colonies (orders Ciconiiformes and Pelecaniformes). Pythons can consume large quantities of prey and may not be recognized as predators by wading birds, therefore they could be a particular threat to colonies. To quantify python occupancy rates at tree islands where wading birds breed, we utilized environmental DNA (eDNA) analysis—a genetic tool which detects shed DNA in water samples and provides high detection probabilities. We fitted multi-scale Bayesian occupancy models to test the prediction that pythons occupy islands with wading bird colonies at higher rates compared to representative control islands containing no breeding birds. Our results suggest that pythons are widely distributed across the central Everglades in proximity to active wading bird colonies. In support of our prediction that pythons are attracted to colonies, site-level python eDNA occupancy rates were higher at wading bird colonies (ψ = 0.88, 95% credible interval [0.59–1.00]) than at the control islands (ψ = 0.42 [0.16–0.80]) in April through June (n = 15 colony-control pairs). We found our water temperature proxy (time of day) to be informative of detection probability, in accordance with other studies demonstrating an effect of temperature on eDNA degradation in occupied samples. Individual sample concentrations ranged from 0.26 to 38.29 copies/μL and we generally detected higher concentrations of python eDNA in colony sites. Continued monitoring of wading bird colonies is warranted to determine the effect pythons are having on populations and investigate putative management activities.</p></div><div id=\"figure-carousel-section\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0213943","usgsCitation":"Orzechowski, S.C., Frederick, P.C., Dorazio, R., and Hunter, M., 2019, Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades: PLoS ONE, v. 14, no. 4, e0213943; 18 p., https://doi.org/10.1371/journal.pone.0213943.","productDescription":"e0213943; 18 p.","ipdsId":"IP-104085","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467710,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0213943","text":"Publisher Index Page"},{"id":437501,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FKPZMB","text":"USGS data release","linkHelpText":"Burmese python environmental DNA data, and environmental covariates, collected from wading bird aggregations and control sites in the Greater Everglades Ecosystem, United States, in 2017"},{"id":363212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Orzechowski, Sophia C. M.","contributorId":215039,"corporation":false,"usgs":false,"family":"Orzechowski","given":"Sophia","email":"","middleInitial":"C. M.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":761497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederick, Peter C.","contributorId":215042,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":761498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":215040,"corporation":false,"usgs":false,"family":"Dorazio","given":"Robert M.","affiliations":[{"id":39162,"text":"Department of Biology, San Francisco State University, San Francisco, California, United States of America","active":true,"usgs":false}],"preferred":false,"id":761499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":215041,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70201911,"text":"sir20185171 - 2019 - Spatial and Temporal Patterns of Best Management Practice Implementation in the Chesapeake Bay Watershed, 1985–2014","interactions":[],"lastModifiedDate":"2019-04-11T17:04:09","indexId":"sir20185171","displayToPublicDate":"2019-04-10T15:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5171","displayTitle":"Spatial and Temporal Patterns of Best Management Practice Implementation in the Chesapeake Bay  Watershed, 1985–2014","title":"Spatial and Temporal Patterns of Best Management Practice Implementation in the Chesapeake Bay Watershed, 1985–2014","docAbstract":"<p>Efforts to restore water quality in Chesapeake Bay and its tributaries often include extensive Best Management Practice (BMP) implementation on agricultural and developed lands. These BMPs include a variety of methods to reduce nutrient and sediment loads, such as cover crops, conservation tillage, urban filtering systems, and other practices.</p><p>Estimates of BMP implementation throughout the Chesapeake Bay watershed were provided for each year from 1985 through 2014 by the Chesapeake Bay Program (CBP). This dataset of BMP implementation is a compilation of actions reported by New York, Maryland, Pennsylvania, Delaware, West Virginia, Virginia, and the District of Columbia, and includes a wide array of management activities. Management actions vary among the jurisdictions and generally reflect the typical land use in each region.</p><p>The amount of implementation also varies according to different priorities, reporting practices, and special programs within each jurisdiction. For example, extensive cover crop implementation was reported in Maryland whereas Pennsylvania, in general, has lower levels of BMP implementation reported on cropland. Pennsylvania and Maryland have higher levels of infiltration BMPs on developed land compared to those in Virginia.</p><p>Conservation tillage BMPs accounted for the majority of reported agricultural BMP implementation in 1985. By 2014, however, a more diverse collection of agricultural BMPs was reported and conservation tillage BMPs accounted for a smaller proportion of overall reported agricultural BMP implementation. After the year 2000, land-use change BMPs, such as land retirement, pasture fencing, and forest buffers, were more commonly reported across the Chesapeake Bay watershed.</p><p>Expected changes in nutrient and sediment loads in the Chesapeake Bay watershed due to BMP implementation were estimated by use of specially designed annual scenarios of the CBP Partnership Phase 5.3.2 Watershed Model. Nitrogen loads to streams were estimated to be reduced by 11 percent from 1985 to 2014 due to the implementation of BMPs. Compared with 1985, phosphorus loads were estimated to be 19 percent lower and sediment loads were estimated to be 23 percent lower by 2014 due to the effects of BMPs.</p><p>Reductions in total nitrogen from 1985 to 2014 due to BMPs varied spatially across the watershed and were estimated to be as high as 42 percent in areas of the Eastern Shore of the Chesapeake Bay. Reductions in phosphorus and sediment also varied spatially, with the largest reductions occurring in the Potomac watershed upstream of Washington, D.C. and the Eastern Shore of Maryland, according to the CBP model results.</p><p>Additional model scenarios were developed to estimate the effect of individual BMP types. The largest estimated reductions in total nitrogen loads on agricultural lands in 2014 were attributed to land retirement, animal waste management systems, and conservation tillage. The largest estimated reductions in total phosphorus loads on agricultural lands were attributed to animal waste management systems, pasture fencing, and phytase feed additives in 2014. The largest estimated reduction in total sediment loads on agricultural lands was attributed to conservation tillage, pasture fencing, and conservation plans.</p><p>Dry ponds, wet ponds, and constructed wetlands were reported extensively throughout the watershed. These BMPs accounted for about half of the reduction in nitrogen loads from developed land to streams, half of the phosphorus reduction, and about a third of the sediment reduction.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185171","collaboration":" ","usgsCitation":"Sekellick, A.J., Devereux, O.H., Keisman, J.L.D., Sweeney, J.S., and Blomquist, J.D., 2019, Spatial and temporal patterns of Best Management Practice implementation in the Chesapeake Bay watershed, 1985–2014: U.S. Geological Survey Scientific Investigations Report 2018–5171, 25 p., https://doi.org/10.3133/sir20185171.","productDescription":"vii, 25 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084330","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":362890,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OVU9PX","text":"USGS data release","description":"USGS data release","linkHelpText":"Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 2014"},{"id":362871,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5171/sir20185171.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5171"},{"id":362870,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5171/coverthb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.1904296875,\n              38.41916639395372\n            ],\n            [\n              -75.223388671875,\n              38.64261790634527\n            ],\n            [\n              -75.35522460937499,\n              38.79690830348427\n            ],\n            [\n              -75.498046875,\n              38.87392853923629\n            ],\n            [\n              -75.5419921875,\n              39.0533181067413\n            ],\n            [\n              -75.662841796875,\n              39.30029918615029\n            ],\n            [\n              -75.750732421875,\n              39.70718665682654\n            ],\n            [\n              -75.6298828125,\n              40.052847601823984\n            ],\n            [\n              -75.69580078125,\n              40.07807142745009\n            ],\n            [\n              -75.95947265625,\n              40.052847601823984\n            ],\n            [\n              -76.0693359375,\n              40.069664523297774\n            ],\n            [\n              -76.058349609375,\n              40.18726672309203\n            ],\n            [\n              -75.9375,\n              40.29628651711716\n            ],\n            [\n              -75.91552734375,\n              40.3549167507906\n            ],\n            [\n              -75.89355468749999,\n              40.47202439692057\n            ],\n            [\n              -76.09130859375,\n              40.56389453066509\n            ],\n            [\n              -76.190185546875,\n              40.64730356252251\n            ],\n            [\n              -76.0693359375,\n              40.75557964275589\n            ],\n            [\n              -75.83862304687499,\n              40.871987756697415\n            ],\n            [\n              -75.76171875,\n              40.91351257612758\n            ],\n            [\n              -75.706787109375,\n              40.95501133048621\n            ],\n            [\n              -75.7177734375,\n              41.071069130806414\n            ],\n            [\n              -75.662841796875,\n              41.1455697310095\n            ],\n            [\n              -75.5419921875,\n              41.13729606112276\n            ],\n            [\n              -75.322265625,\n              41.104190944576466\n            ],\n            [\n              -75.377197265625,\n              41.22824901518529\n            ],\n            [\n              -75.377197265625,\n              41.28606238749825\n            ],\n            [\n              -75.377197265625,\n              41.43449030894922\n            ],\n            [\n              -75.399169921875,\n              41.6154423246811\n            ],\n            [\n              -75.34423828125,\n              41.68111756290652\n            ],\n            [\n              -75.2783203125,\n              41.91045347666418\n            ],\n            [\n              -75.38818359375,\n              42.00848901572399\n            ],\n            [\n              -75.377197265625,\n              42.09007006868398\n            ],\n            [\n              -75.223388671875,\n              42.17968819665961\n            ],\n            [\n              -74.970703125,\n              42.26917949243506\n            ],\n            [\n              -74.8388671875,\n              42.32606244456202\n            ],\n            [\n              -74.520263671875,\n              42.415346114253616\n            ],\n            [\n              -74.278564453125,\n              42.54498667313236\n            ],\n            [\n              -74.322509765625,\n              42.64204079304426\n            ],\n            [\n              -74.410400390625,\n              42.80346172417078\n            ],\n            [\n              -74.68505859374999,\n              42.924251753870685\n            ],\n            [\n              -75.069580078125,\n              42.98053954751642\n            ],\n            [\n              -75.38818359375,\n              42.96446257387128\n            ],\n            [\n              -75.684814453125,\n              42.93229601903058\n            ],\n            [\n              -75.9375,\n              42.87596410238256\n            ],\n            [\n              -76.201171875,\n              42.827638636242284\n            ],\n            [\n              -76.26708984375,\n              42.72280375732727\n            ],\n            [\n              -76.2890625,\n              42.601619944327965\n            ],\n            [\n              -76.2890625,\n              42.52069952914966\n            ],\n            [\n              -76.343994140625,\n              42.415346114253616\n            ],\n            [\n              -76.46484375,\n              42.382894009614034\n            ],\n            [\n              -76.640625,\n              42.431565872579185\n            ],\n            [\n              -76.7724609375,\n              42.39912215986002\n            ],\n            [\n              -76.80541992187499,\n              42.24478535602799\n            ],\n            [\n              -76.88232421875,\n              42.285437007491545\n            ],\n            [\n              -76.9482421875,\n              42.415346114253616\n            ],\n            [\n              -77.04711914062499,\n              42.44778143462245\n            ],\n            [\n              -77.14599609375,\n              42.415346114253616\n            ],\n            [\n              -77.2998046875,\n              42.382894009614034\n            ],\n            [\n              -77.222900390625,\n              42.54498667313236\n            ],\n            [\n              -77.442626953125,\n              42.69858589169842\n            ],\n            [\n              -77.574462890625,\n              42.60970621339408\n            ],\n            [\n              -77.640380859375,\n              42.48830197960227\n            ],\n            [\n              -77.728271484375,\n              42.439674178149424\n            ],\n            [\n              -77.6513671875,\n              42.31793945446847\n            ],\n            [\n              -77.596435546875,\n              42.22851735620852\n            ],\n            [\n              -77.5634765625,\n              42.09007006868398\n            ],\n            [\n              -77.6953125,\n              41.92680320648791\n            ],\n            [\n              -77.9150390625,\n              41.83682786072714\n            ],\n            [\n              -78.0908203125,\n              41.795888098191426\n            ],\n            [\n              -78.453369140625,\n              41.599013054830216\n            ],\n            [\n              -78.453369140625,\n              41.50857729743935\n            ],\n            [\n              -78.42041015625,\n              41.376808565702355\n            ],\n            [\n              -78.3984375,\n              41.21172151054787\n            ],\n            [\n              -78.519287109375,\n              41.054501963290505\n            ],\n            [\n              -78.541259765625,\n              40.9218144123785\n            ],\n            [\n              -78.409423828125,\n              40.713955826286046\n            ],\n            [\n              -78.299560546875,\n              40.55554790286311\n            ],\n            [\n              -78.343505859375,\n              40.48873742102282\n            ],\n            [\n              -78.475341796875,\n              40.30466538259176\n            ],\n            [\n              -78.64013671875,\n              40.06125658140474\n            ],\n            [\n              -78.826904296875,\n              39.9434364619742\n            ],\n            [\n              -78.848876953125,\n              39.80853604144591\n            ],\n            [\n              -78.85986328125,\n              39.715638134796336\n            ],\n            [\n              -78.99169921875,\n              39.69873414348139\n            ],\n            [\n              -79.046630859375,\n              39.64799732373418\n            ],\n            [\n              -79.266357421875,\n              39.436192999314095\n            ],\n            [\n              -79.420166015625,\n              39.2832938689385\n            ],\n            [\n              -79.354248046875,\n              39.26628442213066\n            ],\n            [\n              -79.266357421875,\n              39.232253141714885\n            ],\n            [\n              -79.2333984375,\n              39.155622393423215\n            ],\n            [\n              -79.244384765625,\n              39.01918369029134\n            ],\n            [\n              -79.27734374999999,\n              38.89103282648846\n            ],\n            [\n              -79.398193359375,\n              38.74551518488265\n            ],\n            [\n              -79.661865234375,\n              38.54816542304656\n            ],\n            [\n              -79.683837890625,\n              38.47079371120379\n            ],\n            [\n              -79.727783203125,\n              38.34165619279595\n            ],\n            [\n              -79.815673828125,\n              38.20365531807149\n            ],\n            [\n              -80.04638671875,\n              38.013476231041935\n            ],\n            [\n              -80.17822265625,\n              37.779398571318765\n            ],\n            [\n              -80.2880859375,\n              37.59682400108367\n            ],\n            [\n              -80.4638671875,\n              37.47485808497102\n            ],\n            [\n              -80.694580078125,\n              37.38761749978395\n            ],\n            [\n              -80.771484375,\n              37.23032838760387\n            ],\n            [\n              -80.57373046875,\n              37.26530995561875\n            ],\n            [\n              -80.44189453125,\n              37.309014074275915\n            ],\n            [\n              -80.255126953125,\n              37.31775185163688\n            ],\n            [\n              -80.013427734375,\n              37.3002752813443\n            ],\n            [\n              -79.8486328125,\n              37.23907530202184\n            ],\n            [\n              -79.771728515625,\n              37.18657859524883\n            ],\n            [\n              -79.6728515625,\n              37.07271048132943\n            ],\n            [\n              -79.541015625,\n              37.09900294387622\n            ],\n            [\n              -79.354248046875,\n              37.142803443716836\n            ],\n            [\n              -79.1455078125,\n              37.10776507118514\n            ],\n            [\n              -79.112548828125,\n              37.055177106660814\n            ],\n            [\n              -78.936767578125,\n              36.932330061503144\n            ],\n            [\n              -78.837890625,\n              36.94111143010769\n            ],\n            [\n              -78.662109375,\n              37.055177106660814\n            ],\n            [\n              -78.486328125,\n              37.03763967977139\n            ],\n            [\n              -78.42041015625,\n              36.94111143010769\n            ],\n            [\n              -78.20068359374999,\n              36.96744946416934\n            ],\n            [\n              -77.904052734375,\n              37.03763967977139\n            ],\n            [\n              -77.750244140625,\n              37.081475648860525\n            ],\n            [\n              -77.53051757812499,\n              37.081475648860525\n            ],\n            [\n              -77.354736328125,\n              37.07271048132943\n            ],\n            [\n              -77.069091796875,\n              37.081475648860525\n            ],\n            [\n              -76.959228515625,\n              37.01132594307015\n            ],\n            [\n              -76.893310546875,\n              36.932330061503144\n            ],\n            [\n              -76.871337890625,\n              36.83566824724438\n            ],\n            [\n              -76.849365234375,\n              36.677230602346214\n            ],\n            [\n              -76.7724609375,\n              36.527294814546245\n            ],\n            [\n              -76.629638671875,\n              36.55377524336089\n            ],\n            [\n              -76.46484375,\n              36.589068371399115\n            ],\n            [\n              -76.35498046875,\n              36.48314061639213\n            ],\n            [\n              -76.256103515625,\n              36.57142382346277\n            ],\n            [\n              -76.190185546875,\n              36.66841891894786\n            ],\n            [\n              -76.0693359375,\n              36.65079252503471\n            ],\n            [\n              -75.9375,\n              36.66841891894786\n            ],\n            [\n              -75.948486328125,\n              36.76529191711624\n            ],\n            [\n              -75.904541015625,\n              37.01132594307015\n            ],\n            [\n              -75.926513671875,\n              37.17782559332976\n            ],\n            [\n              -75.882568359375,\n              37.42252593456307\n            ],\n            [\n              -75.618896484375,\n              37.640334898059486\n            ],\n            [\n              -75.509033203125,\n              37.82280243352756\n            ],\n            [\n              -75.38818359375,\n              38.013476231041935\n            ],\n            [\n              -75.16845703124999,\n              38.272688535980976\n            ],\n            [\n              -75.1904296875,\n              38.41916639395372\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_md@usgs.gov\" data-mce-href=\"mailto:dc_md@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/md-de-dc-water\" data-mce-href=\"https://www.usgs.gov/centers/md-de-dc-water\">MD-DE-DC Water Science Center</a><br>U.S. Geological Survey<br>5522 Research Park Drive<br>Baltimore, MD 21228</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Spatial Patterns of Best Management Practice (BMP) Implementation in 2014</li><li>Temporal Patterns of Best Management Practice (BMP) Implementation</li><li>Estimated Effect of Best Management Practices (BMPs) on Nutrient and Sediment Loads</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-10","noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Sekellick, Andrew J. 0000-0002-0440-7655 ajsekell@usgs.gov","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":4125,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","email":"ajsekell@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devereux, Olivia H. 0000-0002-3911-3307","orcid":"https://orcid.org/0000-0002-3911-3307","contributorId":198108,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia H.","affiliations":[],"preferred":false,"id":755969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweeney, Jeffrey S.","contributorId":212334,"corporation":false,"usgs":false,"family":"Sweeney","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":755971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomquist, Joel D. 0000-0002-0140-6534 jdblomqu@usgs.gov","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":197860,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","email":"jdblomqu@usgs.gov","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203412,"text":"70203412 - 2019 - Exotic Seismic Events Catalog (ESEC) Data Product","interactions":[],"lastModifiedDate":"2019-05-14T13:57:13","indexId":"70203412","displayToPublicDate":"2019-04-10T13:55:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Exotic Seismic Events Catalog (ESEC) Data Product","docAbstract":"<div class=\"\"><p>Nonearthquake seismic events from sources such as landslides, debris flows, dam collapses, floods, glaciers, and avalanches are rarely included in traditional earthquake catalogs. The new Incorporated Research Institutions for Seismology (IRIS) Data Management Center Exotic Seismic Events Catalog data product provides information on such events to help accelerate research in the area of environmental seismology. This catalog initially offers information on 113 events in four general categories consisting of flows, lahars, debris flows and outburst floods (17 events); rock or debris falls (23 events); rock, ice, or debris avalanches and slides (68 events); and snow avalanches (5 events). This database will be expanded as information regarding new recent and historical events becomes available. This catalog is now available to the research community at IRIS (see<span>&nbsp;</span><a class=\"sectionLink xref-sec\" href=\"https://pubs.geoscienceworld.org/ssa/srl/article/90/3/1355/569840/Exotic-Seismic-Events-Catalog-ESEC-Data-Product#sc6\" data-mce-href=\"https://pubs.geoscienceworld.org/ssa/srl/article/90/3/1355/569840/Exotic-Seismic-Events-Catalog-ESEC-Data-Product#sc6\">Data and Resources</a>).</p></div>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220180402","usgsCitation":"Bahavar, M., Allstadt, K.E., Fossen, M.V., Malone, S., and Trabant, C., 2019, Exotic Seismic Events Catalog (ESEC) Data Product: Seismological Research Letters, v. 90, no. 3, p. 1355-1363, https://doi.org/10.1785/0220180402.","productDescription":"9 p.","startPage":"1355","endPage":"1363","ipdsId":"IP-104744","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":363794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363721,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1785/0220180402"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.63964843750001,\n              44.134913443750726\n            ],\n            [\n              -119.92675781249999,\n              44.134913443750726\n            ],\n            [\n              -119.92675781249999,\n              48.31242790407178\n            ],\n            [\n              -125.63964843750001,\n              48.31242790407178\n            ],\n            [\n              -125.63964843750001,\n              44.134913443750726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"90","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bahavar, Manoch","contributorId":215526,"corporation":false,"usgs":false,"family":"Bahavar","given":"Manoch","affiliations":[{"id":34982,"text":"IRIS","active":true,"usgs":false}],"preferred":false,"id":762585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":762584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fossen, Mick Van","contributorId":215527,"corporation":false,"usgs":false,"family":"Fossen","given":"Mick","email":"","middleInitial":"Van","affiliations":[{"id":34982,"text":"IRIS","active":true,"usgs":false}],"preferred":false,"id":762586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malone, Stephen","contributorId":194841,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","affiliations":[],"preferred":false,"id":762587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trabant, Chad","contributorId":215357,"corporation":false,"usgs":false,"family":"Trabant","given":"Chad","email":"","affiliations":[{"id":39228,"text":"Incorporated Research Institutions for Seismology","active":true,"usgs":false}],"preferred":false,"id":762588,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202788,"text":"ofr20191032 - 2019 - Groundwater quality and nutrient trends near Marsing, southwestern Idaho, 2018","interactions":[],"lastModifiedDate":"2019-04-16T09:51:59","indexId":"ofr20191032","displayToPublicDate":"2019-04-10T13:17:28","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1032","displayTitle":"Groundwater Quality and Nutrient Trends near Marsing, Southwestern Idaho, 2018","title":"Groundwater quality and nutrient trends near Marsing, southwestern Idaho, 2018","docAbstract":"<p class=\"p1\">The U.S. Geological Survey, in cooperation with the Idaho Department of Environmental Quality, sampled groundwater from 15 wells during spring 2018 near the city of Marsing in rural northwestern Owyhee County, southwestern Idaho. Samples were analyzed for field parameters, nutrients, trace elements, major inorganics, and dissolved gas, including methane. To examine trends in individual wells and in the region, ammonia and nitrate results from the spring 2018 sampling were compared with data collected from 1996 to 2015 by the Idaho Department of Environmental Quality and the Idaho State Department of Agriculture.</p><p class=\"p1\">Fourteen of the 15 samples collected in 2018 contained arsenic (0.13–33.8 micrograms per liter [μg/L]), with 7 arsenic concentrations greater than the U.S. Environmental Protection Agency (EPA) maximum contaminant level (MCL) of 10 μg/L. Iron (465–4,180 μg/L), manganese (54–693 μg/L), sulfate (300–624 milligrams per liter [mg/L]), and total dissolved solids (511–1,350 mg/L) were detected at concentrations greater than EPA secondary maximum contaminant levels (SMCL) in water-quality samples from 6, 10, 4, and 14 of the 15 wells, respectively. Fourteen of the 15 samples contained ammonia concentrations from 0.12 to 7.34 milligrams per liter (mg/L). Six samples contained nitrate concentrations from 0.08 to 24.6 mg/L, with one sample greater than the EPA MCL of 10 mg/L for drinking water. The presence of both ammonia and nitrate in four samples indicated multiple nutrient and groundwater sources and varying redox states. Ammonia concentrations tended to increase downgradient throughout the study area.</p><p class=\"p1\">Nutrient trend analysis identified water-quality samples from 2 of the 15 wells with increasing nitrate concentrations from 1999–2018 and 2005–2018. The well with increasing nitrate concentrations from 2005–2018 showed a decreasing trend in ammonia concentrations during the same time period. Groundwater-quality samples from the 13 remaining wells showed no temporal trends. A Regional Kendall test, which evaluates trends at numerous wells across the study area to determine if a consistent trend exists for the area, was done to analyze 539 ammonia concentrations from 91 wells over 20 years (1999–2018) and 591 nitrate concentrations from 107 wells over 23 years (1996–2018). The Regional Kendall Test for ammonia had a tau correlation coefficient of -0.073 with a p-value of 0.072, and nitrate had a tau correlation coefficient of -0.041 with a p-value of 0.198, both indicating no statistically significant trends.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191032","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality","usgsCitation":"Skinner, K.D., 2019, Groundwater quality and nutrient trends near Marsing, southwestern Idaho, 2018: U.S. Geological Survey Open-File Report 2019-1032, 23 p., https://doi.org/10.3133/ofr20191032.","productDescription":" iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-095202","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":362894,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1032/ofr20191032.pdf","text":"Report","size":"27.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1032"},{"id":362893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1032/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Marsing","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.94345474243164,\n              43.523410314985455\n            ],\n            [\n              -116.7856979370117,\n              43.523410314985455\n            ],\n            [\n              -116.7856979370117,\n              43.60687218565255\n            ],\n            [\n              -116.94345474243164,\n              43.60687218565255\n            ],\n            [\n              -116.94345474243164,\n              43.523410314985455\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Trends Analysis</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2019-04-10","noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Skinner, Kenneth D. 0000-0003-1774-6565 kskinner@usgs.gov","orcid":"https://orcid.org/0000-0003-1774-6565","contributorId":1836,"corporation":false,"usgs":true,"family":"Skinner","given":"Kenneth","email":"kskinner@usgs.gov","middleInitial":"D.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760018,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203014,"text":"70203014 - 2019 - A landscape model of variable social-ecological fire regimes","interactions":[],"lastModifiedDate":"2019-06-18T11:26:21","indexId":"70203014","displayToPublicDate":"2019-04-10T10:09:30","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"A landscape model of variable social-ecological fire regimes","docAbstract":"Fire regimes are now recognized as the product of social processes whereby fire on any landscape is the product of human-generated drivers:  climate change, historical patterns of vegetation manipulation, invasive species, active fire suppression, ongoing fuel management efforts, prescribed burning, and accidental ignitions.  We developed a new fire model (Social-Climate Related Pyrogenic Processes and their Landscape Effects: SCRPPLE) that emphasizes the social dimensions of fire and enables simulation of fuel-treatment effects, fire suppression, and prescribed fires.  Fire behavior was parameterized with daily fire weather, ignition, and fire-boundary data.  SCRPPLE was initially parameterized and developed for the Lake Tahoe Basin (LTB) in California and Nevada, USA although its behavior is general and could be applied worldwide.  We demonstrate the behavior and utility of our model via four simple scenarios that emphasize the social dimensions of fire regimes:  a) Recent Historical: simulated recent historical patterns of lightning and accidental fires and current patterns of fire suppression, b) Natural-Fire-Regime: simulated wildfire without suppression, accidental fires, or prescribed fires, holding all other factors the same as Recent Historical, c) Enhanced Suppression: simulated a doubling of the effectiveness of suppression, holding all other factors the same as Recent Historical, and d) Reduced Accidental Ignitions: within which the number of accidental fires was reduced by half, holding all other factors the same as Recent Historical.  Results indicate that SCRPPLE can recreate past fire regimes, including size, intensity, and locations.  Furthermore, our results indicate that the ‘Enhanced Suppression’ and ‘Reduced Accidental Ignitions’ scenarios had similar capacity to reduce fire and related tree mortality over time, suggesting that within the broad outlines of the scenarios, reducing accidental fires can be as effective as substantially increasing resources for suppression.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2019.03.022","usgsCitation":"Scheller, R., Kretchun, A., Hawbaker, T., and Henne, P., 2019, A landscape model of variable social-ecological fire regimes: Ecological Modelling, v. 401, p. 85-93, https://doi.org/10.1016/j.ecolmodel.2019.03.022.","productDescription":"9 p.","startPage":"85","endPage":"93","ipdsId":"IP-101796","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2019.03.022","text":"Publisher Index Page"},{"id":362909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.24810791015625,\n              38.75408327579141\n            ],\n            [\n              -119.85260009765624,\n              38.75408327579141\n            ],\n            [\n              -119.85260009765624,\n              39.29604824402406\n            ],\n            [\n              -120.24810791015625,\n              39.29604824402406\n            ],\n            [\n              -120.24810791015625,\n              38.75408327579141\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"401","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scheller, Robert M","contributorId":147807,"corporation":false,"usgs":false,"family":"Scheller","given":"Robert M","affiliations":[{"id":16941,"text":"Environmental Science and Management Department, Portland State University","active":true,"usgs":false}],"preferred":false,"id":760789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kretchun, Alec","contributorId":214789,"corporation":false,"usgs":false,"family":"Kretchun","given":"Alec","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":760790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd","contributorId":214787,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":760788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":760791,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205224,"text":"70205224 - 2019 - Establishing an Agassiz’s Desert Tortoise monitoring program within the Coachella Valley multiple species habitat conservation plan area: Final report to the Coachella Valley conservation commission on work performed near the Orocopia Mountains","interactions":[],"lastModifiedDate":"2020-06-01T14:59:17.268393","indexId":"70205224","displayToPublicDate":"2019-04-10T09:54:55","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"Appendix 12","title":"Establishing an Agassiz’s Desert Tortoise monitoring program within the Coachella Valley multiple species habitat conservation plan area: Final report to the Coachella Valley conservation commission on work performed near the Orocopia Mountains","docAbstract":"<p>In support of the goals of the Coachella Valley Multiple Species Habitat Conservation Plan and Natural Community Conservation Plan (CVMSHCP/NCCP), a population of Agassiz’s desert tortoises (<i>Gopherus agassizii</i>) was marked and studied to establish a desert tortoise monitoring program near the Orocopia Mountains beginning in early 2017 and ending in the summer of 2018, following the epic drought of 2012‒2016. This effort compliments a similar effort in the nearby mouth of Cottonwood Canyon in 2015‒2016. Surveys were performed to locate tortoises, tortoise burrows, and tortoise remains at the eastern end of the CVMSHCP area north of the Orocopia Mountains and south of Interstate 10 in Riverside County, California. Although the area is considered Critical Habitat for the recovery of tortoise populations, it was heavily impacted by military training activities in the early 1940s and continues to be impacted by off-highway vehicle use. Data were collected from all live and dead tortoise specimens encountered. Only 22 live tortoises were found during transects covering approximately 21 km<sup>2</sup> of habitat surveyed. The sex ratio of live adult tortoises was strongly biased toward males and the sex ratio of recently (4‒5 years) dead carcasses during the long drought was strongly biased toward females. High female mortality may have resulted from the interaction of drought (including increased predation) and the reproductive strategy of tortoises. We located only one new live tortoise in the drought year of 2018 when there was no germination of winter annual food plants. A subsample of nine tortoises was outfitted with radio transmitters, and females (n = 4) were X-radiographed at approximately 10-day intervals from April–July. Mean clutch size was about 4 eggs as is typical for tortoises in this region. Additional tortoises were located opportunistically in and around the Santa Rosa Mountains (located in the southern end of the CVMSHCP area), and these tortoises were also marked for future identification. Blood samples were taken from adult tortoises and scute clips were taken from a subset of juveniles for ongoing studies to determine genetic diversity and relationships of desert tortoises within the CVMSHCP/NCCP area and beyond. The low tortoise density and high adult female mortality observed by us and others in the area may compromise the long-term viability of the population, especially given published predictions of the negative effects of future droughts on tortoises in the region.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 Annual Report: Coachella Valley multiple species conservation plan/natural community conservation plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Coachella Valley Conservation Commission","usgsCitation":"Lovich, J.E., Puffer, S., and Cummings, K.L., 2019, Establishing an Agassiz’s Desert Tortoise monitoring program within the Coachella Valley multiple species habitat conservation plan area: Final report to the Coachella Valley conservation commission on work performed near the Orocopia Mountains, chap. Appendix 12 <i>of</i> 2019 Annual Report: Coachella Valley multiple species conservation plan/natural community conservation plan, 32 p.","productDescription":"32 p.","ipdsId":"IP-107821","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367273,"type":{"id":15,"text":"Index Page"},"url":"https://www.cvmshcp.org"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley, Orocopia Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.62399291992186,\n              33.91715274008259\n            ],\n            [\n              -116.62811279296875,\n              33.91259414191221\n            ],\n            [\n              -116.40701293945311,\n              33.72548184547877\n            ],\n            [\n              -116.22299194335938,\n              33.55398457177033\n            ],\n            [\n              -116.12686157226561,\n              33.47269019266663\n            ],\n            [\n              -116.02798461914061,\n              33.58831134490155\n            ],\n            [\n              -115.98403930664061,\n              33.735760815044635\n            ],\n            [\n              -116.17904663085938,\n              33.881817226884806\n            ],\n            [\n              -116.58279418945312,\n              34.01396527491264\n            ],\n            [\n              -116.62399291992186,\n              33.91715274008259\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212608,"text":"70212608 - 2019 - Biases in the literature on direct wildlife mortality from energy development","interactions":[],"lastModifiedDate":"2020-08-24T13:41:37.897542","indexId":"70212608","displayToPublicDate":"2019-04-10T08:38:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Biases in the literature on direct wildlife mortality from energy development","docAbstract":"<p class=\"chapter-para\">Comparing environmental impacts of different energy sources can inform energy investments and environmental conservation. Direct wildlife mortality from energy development receives substantial public and scientific attention, but it is unclear whether rigorous comparisons of mortality among energy sources are possible. To address this question, we compared availability of mortality studies among energy sources, wildlife groups, and regions, and assessed comparability of mortality indicators measured. Whereas wind and hydropower have received substantial mortality research exceeding their proportional contributions to global energy production, coal, oil and gas, and bioenergy have received fewer studies and are underrepresented relative to their contributions. Furthermore, research is biased toward birds and fish and North America and Europe, and there are inconsistencies among energy sources and limited replication of most indicators measured. These results indicate that rigorous comparisons of direct wildlife mortality among energy sources are not currently possible and highlight research needs for improving understanding of energy's environmental impacts.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biz026","usgsCitation":"Loss, S., Dorning, M., and Diffendorfer, J., 2019, Biases in the literature on direct wildlife mortality from energy development: BioScience, v. 69, no. 5, p. 348-359, https://doi.org/10.1093/biosci/biz026.","productDescription":"12 p.","startPage":"348","endPage":"359","ipdsId":"IP-101577","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":377783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Loss, Scott R.","contributorId":239494,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":797069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":797070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":797071,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199531,"text":"ofr20181142 - 2019 - Hurricane Sandy impacts on coastal wetland resilience","interactions":[],"lastModifiedDate":"2024-03-04T18:51:22.151859","indexId":"ofr20181142","displayToPublicDate":"2019-04-10T08:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1142","displayTitle":"Hurricane Sandy Impacts on Coastal Wetland Resilience","title":"Hurricane Sandy impacts on coastal wetland resilience","docAbstract":"<p>The goal of this research was to evaluate the impacts of Hurricane Sandy on surface elevation trends in estuarine marshes located across the northeast region of the United States from Virginia to Maine using data from an opportunistic (in other words, not strategic) and collaborative network (from here on, an opportunistic network) of surface elevation table-marker horizon (SET-MH) stations. First, we built a data-base of metadata for 965 individual stations from 96 unique geographical locations that included the location, geomorphic setting, and wetland type for each SET-MH station. The dominant estuarine settings included in the analyses were back-barrier lagoonal marshes and emergent marshes along embayments and tidal tributaries. We then calculated prestorm elevation trends to compare to poststorm elevation measurements to determine the storm impact on each station trend. We hypothesized that the effect of Hurricane Sandy on marsh elevation trends would differ by position relative to landfall (right or left) and distance from landfall in southern New Jersey, as both of these variables influence the presence or absence of storm surge as a result of the physical characteristics of tropical cyclones (in other words, strongest winds typically occur to the right of landfall). Storm surge was spatially less extensive and less deep (~1 meter [m]) in marshes located to the left (in other words, south) of landfall compared to marshes located to the right (in other words, north) of landfall where storm surge covered a larger area and was deeper (3–4 m). About 63 percent of 223 eligible stations had a poststorm trend that was similar to the prestorm trend (in other words, less than ±5 millimeters [mm]), indicating little storm impact on elevation trends at those sites. The remaining 37 percent of stations exhibited significant poststorm deviations from the prestorm trend (in other words, greater than ±5 mm). Of these, stations located to the left of landfall had a significant and greater deviation in their elevation trend, and the deviation was more likely to be positive (elevation gain) compared to marshes located to the right of landfall, which had a significant deviation in their elevation trend that was more likely to be negative (elevation loss). This finding is directly related to storm surge impacts on marsh sediment deposition, where deep storm surge (3–4 m) results in sediment deposition in habitats inland of coastal marshes but less so in the marshes themselves. Substrate compaction by the storm surge over-burden may have contributed to elevation loss, but this was not measured because sufficient marker horizon data were not available for analysis. In contrast, to the left of landfall the wind-driven flooding of sediment laden water pushed into the headwaters of rivers and small bays with an ~1 m surge, and resulted in more prevalent sediment deposition on the marsh surfaces and elevation gain. In general, the findings support previous research showing that the physical characteristics of the storm (for example, wind speed, storm surge height, impact angle of landfall) combined with the local wetland conditions (for example, marsh productivity, groundwater level, tide height) are important factors determining a storm’s impact on soil elevation, and that the soil elevation response can vary widely among multiple wetland sites impacted by the same storm and among different storms for the same wetland site.</p><p>The final objective of this project was to create a framework using metadata from the opportunistic network of SET-MH stations that could be used to develop a strategic monitoring network designed to address specific climate change impacts and related phenomena identified by land managers and stakeholders. We evaluated the spatial distribution and density of SET-MH stations in relation to geographic coverage, marsh setting, availability of public land, and historical storm surge footprints and hurricane return intervals in order to identify gaps in our understanding of risk and our ability to assess it. Analyses revealed that the general geographic coverage of SET-MH stations is limited given the low percentage of marsh patches with stations, low density of stations, the clumped distribution of stations, and the often limited and uneven distribution of stations in wetlands with a high historical frequency of hurricane strikes and storm surge impacts. These findings can be used by managers and planners to inform the creation of a strategic monitoring network that can, in turn, inform management and adaptation plans for coastal resources in the region. Final plan designs will need to consider financial and infrastructural support required for station maintenance, as well as data collection and management over the long term.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181142","usgsCitation":"Cahoon, D.R., Olker, J.H., Yeates, A.G., Guntenspergen, G.R., Grace, J.B., Adamowicz, S.C., Anisfeld, S., Baldwin, A.H., Barrett, N., Beckett, L., Benzecry, A., Blum, L.K., Burdick, D.M., Crouch, W., Ekberg, M.C., Fernald, S., Grimes, K.W., Grzyb, J., Hartig, E.K., Kreeger, D.A., Larson, M., Lerberg, S., Lynch, J.C., Maher, N., Maxwell-Doyle, M., Mitchell, L.R., Mora, J., O’Neill, V., Padeletti, A., Prosser, D., Quirk, T., Raposa, K.B., Reay, W.G., Siok, D., Snow, C., Starke, A., Staver, L., Stevenson, J.C., and Turner, V., 2019, Hurricane Sandy impacts on coastal wetland resilience: U.S. Geological Survey Open-File Report 2018–1142, 117 p., https://doi.org/10.3133/ofr20181142.","productDescription":"xii, 117 p.","ipdsId":"IP-089853","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":362852,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1142/ofr20181142.pdf","text":"Report","size":"30.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1142"},{"id":362851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1142/coverthb1.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.251953125,\n              17.811456088564483\n            ],\n            [\n              -70.9716796875,\n              17.811456088564483\n            ],\n            [\n              -70.9716796875,\n              41.07935114946899\n            ],\n            [\n              -93.251953125,\n              41.07935114946899\n            ],\n            [\n              -93.251953125,\n              17.811456088564483\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12311 Beech Forest Road<br>Laurel, MD 20708</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Inventory and Distribution of SET-MH Stations Along the Atlantic Coast</li><li>Data Formatting and Analyses</li><li>Location and Distribution of Stations</li><li>Metadata Summary</li><li>Hurricane Sandy Effects on Coastal Marsh Elevation Change</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Factors to Consider in Development of a Strategic Monitoring Framework</li><li>Methods</li><li>Incorporating Risk—Data Sources and Application</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Glossary</li><li>Appendix 1. The Surface Elevation Table-Marker Horizon Method</li><li>Appendix 2. SET-MH Metadata Spreadsheet</li><li>Appendix 3. Best Model Summaries</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-04-10","noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":208039,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olker, Jennifer H.","contributorId":208040,"corporation":false,"usgs":false,"family":"Olker","given":"Jennifer","email":"","middleInitial":"H.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":745767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yeates, Alice G.","contributorId":208041,"corporation":false,"usgs":false,"family":"Yeates","given":"Alice","email":"","middleInitial":"G.","affiliations":[{"id":6915,"text":"University of Minnesota - Duluth","active":true,"usgs":false}],"preferred":false,"id":745768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":745770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adamowicz, Susan C.","contributorId":174712,"corporation":false,"usgs":false,"family":"Adamowicz","given":"Susan","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":true,"id":745771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anisfeld, Shimon C.","contributorId":173724,"corporation":false,"usgs":false,"family":"Anisfeld","given":"Shimon","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baldwin, Andrew H.","contributorId":208042,"corporation":false,"usgs":false,"family":"Baldwin","given":"Andrew","email":"","middleInitial":"H.","affiliations":[{"id":37684,"text":"University of Maryland, College Park, Md","active":true,"usgs":false}],"preferred":false,"id":745773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barrett, Nels","contributorId":208043,"corporation":false,"usgs":false,"family":"Barrett","given":"Nels","email":"","affiliations":[{"id":37685,"text":"Natural Resources Conservation Service, Amherset, Mass","active":true,"usgs":false}],"preferred":false,"id":745774,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beckett, Leah","contributorId":208044,"corporation":false,"usgs":false,"family":"Beckett","given":"Leah","email":"","affiliations":[{"id":37684,"text":"University of Maryland, College Park, Md","active":true,"usgs":false}],"preferred":false,"id":745775,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Benzecry, Alice","contributorId":208045,"corporation":false,"usgs":false,"family":"Benzecry","given":"Alice","email":"","affiliations":[{"id":37686,"text":"Fairleigh Dickinson University, Teaneck, New Jersey","active":true,"usgs":false}],"preferred":false,"id":745776,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Blum, Linda K. 0000-0002-5252-6106","orcid":"https://orcid.org/0000-0002-5252-6106","contributorId":208046,"corporation":false,"usgs":false,"family":"Blum","given":"Linda","email":"","middleInitial":"K.","affiliations":[{"id":37559,"text":"University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":745777,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burdick, David M.","contributorId":208047,"corporation":false,"usgs":false,"family":"Burdick","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37687,"text":"Jackson Estuarine Laboratory, Univesity of New Hampshire, Durham, NH","active":true,"usgs":false}],"preferred":false,"id":745778,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Crouch, William","contributorId":208048,"corporation":false,"usgs":false,"family":"Crouch","given":"William","email":"","affiliations":[{"id":37688,"text":"US Fish & Wildlife Service, Eastern Virginia Rivers National Wildlife Refuge Complex, Warsaw, Va","active":true,"usgs":false}],"preferred":false,"id":745779,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ekberg, Marci Cole","contributorId":208049,"corporation":false,"usgs":false,"family":"Ekberg","given":"Marci","email":"","middleInitial":"Cole","affiliations":[{"id":37689,"text":"Save the Bay, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":745780,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fernald, Sarah","contributorId":208050,"corporation":false,"usgs":false,"family":"Fernald","given":"Sarah","email":"","affiliations":[{"id":37690,"text":"New York State, Department of Environmental Conservation, Hudson River National Estuarine Research Reserve, Staatsburg, NY","active":true,"usgs":false}],"preferred":false,"id":745781,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Grimes, Kristin Wilson","contributorId":208051,"corporation":false,"usgs":false,"family":"Grimes","given":"Kristin","email":"","middleInitial":"Wilson","affiliations":[{"id":37691,"text":"Wells National Estuarine Research Reserve, Wells, Maine","active":true,"usgs":false}],"preferred":false,"id":745782,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Grzyb, Joseph","contributorId":208052,"corporation":false,"usgs":false,"family":"Grzyb","given":"Joseph","email":"","affiliations":[{"id":37692,"text":"Meadowlands Environmental Research Institute, Lyndhurst, NJ","active":true,"usgs":false}],"preferred":false,"id":745783,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hartig, Ellen Kracauer","contributorId":208053,"corporation":false,"usgs":false,"family":"Hartig","given":"Ellen","email":"","middleInitial":"Kracauer","affiliations":[{"id":37693,"text":"New York City Department of Parks & Recreation, New York, NY","active":true,"usgs":false}],"preferred":false,"id":745784,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kreeger, Danielle A.","contributorId":208054,"corporation":false,"usgs":false,"family":"Kreeger","given":"Danielle","email":"","middleInitial":"A.","affiliations":[{"id":37694,"text":"Partnership for the Delaware Estuary, Wilmington, DE","active":true,"usgs":false}],"preferred":false,"id":745785,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Larson, Marit","contributorId":208055,"corporation":false,"usgs":false,"family":"Larson","given":"Marit","email":"","affiliations":[{"id":37693,"text":"New York City Department of Parks & Recreation, New York, NY","active":true,"usgs":false}],"preferred":false,"id":745786,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Lerberg, Scott","contributorId":208056,"corporation":false,"usgs":false,"family":"Lerberg","given":"Scott","email":"","affiliations":[{"id":37695,"text":"Chesapeake Bay National Estuarine Research Reserve, Gloucester Point, Va","active":true,"usgs":false}],"preferred":false,"id":745787,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Lynch, James C.","contributorId":179352,"corporation":false,"usgs":false,"family":"Lynch","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":745788,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Maher, Nicole","contributorId":208057,"corporation":false,"usgs":false,"family":"Maher","given":"Nicole","email":"","affiliations":[{"id":37696,"text":"The Nature Conservancy, Cold Spring Harbor, NY","active":true,"usgs":false}],"preferred":false,"id":745789,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Maxwell-Doyle, Martha","contributorId":208058,"corporation":false,"usgs":false,"family":"Maxwell-Doyle","given":"Martha","email":"","affiliations":[{"id":37697,"text":"Barnegat Bay Partnership, Toms River, NJ","active":true,"usgs":false}],"preferred":false,"id":745790,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Mitchell, Laura R.","contributorId":208059,"corporation":false,"usgs":false,"family":"Mitchell","given":"Laura R.","affiliations":[{"id":37698,"text":"US Fish & Wildlife Service Northeast Region, Bombay Hook National Wildlife Refuge, Smyrna, Del","active":true,"usgs":false}],"preferred":false,"id":745791,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Mora, Jordan","contributorId":208060,"corporation":false,"usgs":false,"family":"Mora","given":"Jordan","email":"","affiliations":[{"id":37699,"text":"Waquoit Bay National Estuarine Research Reserve, Waquoit, Mass","active":true,"usgs":false}],"preferred":false,"id":745792,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"O’Neill, Victoria","contributorId":208061,"corporation":false,"usgs":false,"family":"O’Neill","given":"Victoria","email":"","affiliations":[{"id":37700,"text":"New England and Interstate Water Pollution Control Commission, New York State Department of Environmental Conservation, Long Island Sound Study, East Setauket, NY","active":true,"usgs":false}],"preferred":false,"id":745793,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Padeletti, Angela","contributorId":208062,"corporation":false,"usgs":false,"family":"Padeletti","given":"Angela","email":"","affiliations":[{"id":37701,"text":"Academy of Natural Sciences of Drexel University, Philadelphia, Pa","active":true,"usgs":false}],"preferred":false,"id":745794,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":745795,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Quirk, Tracy","contributorId":208063,"corporation":false,"usgs":false,"family":"Quirk","given":"Tracy","email":"","affiliations":[{"id":37701,"text":"Academy of Natural Sciences of Drexel University, Philadelphia, Pa","active":true,"usgs":false}],"preferred":false,"id":745796,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Raposa, Kenneth B.","contributorId":208064,"corporation":false,"usgs":false,"family":"Raposa","given":"Kenneth","email":"","middleInitial":"B.","affiliations":[{"id":37702,"text":"Narragansett Bay Naitonal Estuarine Research Reserve, Prudence Island, RI","active":true,"usgs":false}],"preferred":false,"id":745797,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Reay, William G.","contributorId":176767,"corporation":false,"usgs":false,"family":"Reay","given":"William","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":760648,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Siok, Drexel","contributorId":208065,"corporation":false,"usgs":false,"family":"Siok","given":"Drexel","email":"","affiliations":[{"id":37703,"text":"Delaware Department of Natural Resources and Environmental Control, Delaware Coastal Programs, Dover, Del","active":true,"usgs":false}],"preferred":false,"id":745798,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Snow, Christopher","contributorId":208066,"corporation":false,"usgs":false,"family":"Snow","given":"Christopher","email":"","affiliations":[{"id":37704,"text":"Chesapeake Bay National Estuarine Research Reserve in Maryland, Maryland Department of Natural Resources, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":745799,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Starke, Adam","contributorId":208067,"corporation":false,"usgs":false,"family":"Starke","given":"Adam","email":"","affiliations":[{"id":37696,"text":"The Nature Conservancy, Cold Spring Harbor, NY","active":true,"usgs":false}],"preferred":false,"id":745800,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Stevenson, J. Court","contributorId":208069,"corporation":false,"usgs":false,"family":"Stevenson","given":"J.","email":"","middleInitial":"Court","affiliations":[{"id":37705,"text":"University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Md","active":true,"usgs":false}],"preferred":false,"id":745802,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Staver, Lorie","contributorId":208068,"corporation":false,"usgs":false,"family":"Staver","given":"Lorie","affiliations":[{"id":37705,"text":"University of Maryland Center for Environmental Science, Horn Point Laboratory, Cambridge, Md","active":true,"usgs":false}],"preferred":false,"id":745801,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Turner, Vincent","contributorId":208070,"corporation":false,"usgs":false,"family":"Turner","given":"Vincent","email":"","affiliations":[{"id":37706,"text":"Edwin B. Forsythe National Wildlife Refuge, Oceanville, NJ","active":true,"usgs":false}],"preferred":false,"id":745803,"contributorType":{"id":1,"text":"Authors"},"rank":39}]}}
,{"id":70203228,"text":"70203228 - 2019 - Implementation of an occupancy-based monitoring protocol for a wide-spread and cryptic species, the New England cottontail Sylvilagus transitionalis","interactions":[],"lastModifiedDate":"2019-05-02T08:05:41","indexId":"70203228","displayToPublicDate":"2019-04-10T07:48:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Implementation of an occupancy-based monitoring protocol for a wide-spread and cryptic species, the New England cottontail <i>Sylvilagus transitionalis</i>","title":"Implementation of an occupancy-based monitoring protocol for a wide-spread and cryptic species, the New England cottontail Sylvilagus transitionalis","docAbstract":"<p><span>Designing effective long-term monitoring strategies is essential for managing wildlife populations. Implementing a cost-effective, practical monitoring program is especially challenging for widespread but locally rare species. Early successional habitat preferred by the New England cottontail (NEC) has become increasingly rare and fragmented, resulting in substantial declines from their peak distribution in the mid-1900s. The introduction of a possible competitor species, the eastern cottontail (EC), may also have played a role. Uncertainty surrounding how these factors have contributed to NEC declines has complicated management and necessitated development of an appropriate monitoring framework to understand possible drivers of distribution and dynamics.</span></p>","language":"English","publisher":"CSIRO","doi":"10.1071/WR18058","usgsCitation":"Shea, C.P., Eaton, M.J., and MacKenzie, D.I., 2019, Implementation of an occupancy-based monitoring protocol for a wide-spread and cryptic species, the New England cottontail Sylvilagus transitionalis: Wildlife Research, https://doi.org/10.1071/WR18058.","ipdsId":"IP-088955","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":467712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wr18058","text":"Publisher Index Page"},{"id":363418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shea, Colin P.","contributorId":140147,"corporation":false,"usgs":false,"family":"Shea","given":"Colin","email":"","middleInitial":"P.","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":761792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":761791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Darryl I.","contributorId":194669,"corporation":false,"usgs":false,"family":"MacKenzie","given":"Darryl","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":761793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203097,"text":"70203097 - 2019 - Annual survival, site fidelity, and longevity in the eastern coastal population of the Painted Bunting (Passerina ciris) based on a 20-year mark-recapture/resighting study","interactions":[],"lastModifiedDate":"2019-04-19T16:30:36","indexId":"70203097","displayToPublicDate":"2019-04-09T16:27:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Annual survival, site fidelity, and longevity in the eastern coastal population of the Painted Bunting (<i>Passerina ciris)</i> based on a 20-year mark-recapture/resighting study","title":"Annual survival, site fidelity, and longevity in the eastern coastal population of the Painted Bunting (Passerina ciris) based on a 20-year mark-recapture/resighting study","docAbstract":"A long-term study of annual survival, longevity, and site fidelity in the eastern coastal population of the Painted Bunting (Passerina ciris) during the breeding season was conducted from 1999 through 2018 in the outer coastal plain of the southeastern Atlantic coast of the United States. Painted Buntings were uniquely color-banded from 1999 through 2003 at 40 study sites that were paired at 20 locations from southeastern North Carolina south to northeastern Florida. Survival analysis used capture histories through 2005 for 994 birds banded as hatch-year and 2420 birds banded as post-hatch-year (adults). Annual estimates of apparent survival (1999-2004) averaged 0.71 and 0.66 for adult males and females, respectively, and 0.33 for hatch-year birds. We did not find evidence that survival differed in relation to latitude or extent of human development near study sites, although estimates for adult females were higher for birds banded on sheltered islands compared to the mainland. Expected time in the population, based on estimated survival, was 3.9 and 3.4 years for adult males and females, respectively. The oldest observed birds were a 14-year old male observed in June 2016 at Harris Neck NWR, Georgia, the site at which he had been banded in July 2003 as a second-year bird, and a 13-year old male seen at Ft. George Island, Florida in June 2016, 2 km across a tidal estuary from the site where the bird was banded in August 2003 as hatch-year. The males were sighted at these two sites in 9 and 11 different years, respectively. Overall, 78% (males) and 81% (females) of re-sightings and re-captures of birds banded as adults occurred at the same study site where individuals were banded, compared to 59% (males) and 60% (females) of birds banded as hatch-year. Known mortalities of banded buntings included nine birds trapped for the caged-bird trade. This study shows the potential for high survival and longevity in the eastern coastal population of the Painted Bunting, and given evidence of high site fidelity in the breeding range, the vulnerability of the population to human development along the southeastern U.S. coast as well as to illegal trapping.","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/18-56","usgsCitation":"Sykes, P.W., Freeman, M., Sykes, J.J., Seginak, J.T., M. David Oleyar, and Egan, J.P., 2019, Annual survival, site fidelity, and longevity in the eastern coastal population of the Painted Bunting (Passerina ciris) based on a 20-year mark-recapture/resighting study: Wilson Journal of Ornithology, v. 131, no. 1, p. 96-110, https://doi.org/10.1676/18-56.","productDescription":"15 p.","startPage":"96","endPage":"110","ipdsId":"IP-093478","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":363086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"131","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sykes, Paul W.","contributorId":214917,"corporation":false,"usgs":false,"family":"Sykes","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":761160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":761159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sykes, Joan J.","contributorId":214918,"corporation":false,"usgs":false,"family":"Sykes","given":"Joan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seginak, John T.","contributorId":191445,"corporation":false,"usgs":false,"family":"Seginak","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":761162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"M. David Oleyar","contributorId":214919,"corporation":false,"usgs":false,"family":"M. David Oleyar","affiliations":[],"preferred":false,"id":761163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Egan, Joshua P.","contributorId":214920,"corporation":false,"usgs":false,"family":"Egan","given":"Joshua","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":761164,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204090,"text":"70204090 - 2019 - The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer","interactions":[],"lastModifiedDate":"2019-07-03T16:02:34","indexId":"70204090","displayToPublicDate":"2019-04-09T15:41:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer","docAbstract":"<p><span>Methanol&nbsp;extractions for chloroethene analyses are conducted on rock samples from seven closely spaced coreholes in a&nbsp;mudstone&nbsp;aquifer&nbsp;that was subject to releases of the&nbsp;nonaqueous phase liquid&nbsp;(NAPL) form of&nbsp;trichloroethene&nbsp;(TCE) between the 1950's and 1990's. Although&nbsp;TCE&nbsp;concentration in the rock matrix over the length of coreholes is dictated by&nbsp;proximity&nbsp;to subhorizontal&nbsp;bedding planefractures, elevated TCE concentrations in the rock matrix are not continuous along the most permeable bedding plane fractures. A complex configuration of subvertical and subhorizontal fractures appears to be responsible for the TCE distribution from prior TCE releases at land surface. Phase partitioning calculations of TCE in the rock matrix show that most TCE is adsorbed to solid surfaces because of the large fraction of&nbsp;organic carbon&nbsp;(</span><i>f</i><sub><i>oc</i></sub><span>) in the mudstone. Large TCE content in some cores indicate the likely presence of the&nbsp;NAPL&nbsp;form of TCE in the rock matrix. Using average values of porosity (</span><i>n</i><span>) and&nbsp;</span><i>f</i><sub><i>oc</i></sub><span>&nbsp;in phase partitioning calculations identifies a number of locations of possible NAPL occurrence in the rock matrix. Samples of mudstone analyzed for&nbsp;</span><i>n</i><span>&nbsp;and&nbsp;</span><i>f</i><sub><i>oc</i></sub><span>&nbsp;show variability in these properties over several orders of magnitude. Accounting for this variability in phase partitioning calculations identifies a probability of NAPL occurrence,&nbsp;</span><i>P</i><sub><i>NAPL</i></sub><span>. The&nbsp;spatial variability&nbsp;of&nbsp;</span><i>P</i><sub><i>NAPL</i></sub><span>&nbsp;along coreholes identifies a configuration that may be attributed to a TCE source zone that has evolved after&nbsp;emplacement&nbsp;due to NAPL dissolution, adsorption, and matrix diffusion.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2019.04.001","usgsCitation":"Shapiro, A.M., Goode, D.J., Imbrigiotta, T.E., Lorah, M.M., and Tiedeman, C.R., 2019, The complex spatial distribution of trichloroethene and the probability of NAPL occurrence in the rock matrix of a mudstone aquifer: Journal of Contaminant Hydrology, v. 233, 103478; 14 p., https://doi.org/10.1016/j.jconhyd.2019.04.001.","productDescription":"103478; 14 p.","ipdsId":"IP-103048","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467713,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2019.04.001","text":"Publisher Index Page"},{"id":437502,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55MD8","text":"USGS data release","linkHelpText":"Concentrations of Chlorinated Ethene Compounds in Rock Core Collected from the Mudstone Underlying the former Naval Air Warfare Center, West Trenton, New Jersey"},{"id":365294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","otherGeospatial":"Newark Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.8144268989563,\n              40.268196648437474\n            ],\n            [\n              -74.80998516082764,\n              40.26757447962916\n            ],\n            [\n              -74.80850458145142,\n              40.2704560554525\n            ],\n            [\n              -74.81170177459717,\n              40.272715386988686\n            ],\n            [\n              -74.81320381164551,\n              40.27173307820388\n            ],\n            [\n              -74.8144268989563,\n              40.268196648437474\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"233","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":765432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":193394,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel","email":"djgoode@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":765433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":152114,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas","email":"timbrig@usgs.gov","middleInitial":"E.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorah, Michelle M. 0000-0002-9236-587X","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":216751,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tiedeman, Claire R. 0000-0002-0128-3685 tiedeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0128-3685","contributorId":196777,"corporation":false,"usgs":true,"family":"Tiedeman","given":"Claire","email":"tiedeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":765436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202017,"text":"ofr20181180 - 2019 - Optimizing historical preservation under climate change—An overview of the optimal preservation model and pilot testing at Cape Lookout National Seashore","interactions":[],"lastModifiedDate":"2019-04-10T15:51:15","indexId":"ofr20181180","displayToPublicDate":"2019-04-09T13:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1180","displayTitle":"Optimizing Historical Preservation Under Climate Change—An Overview of the Optimal Preservation Model and Pilot Testing at Cape Lookout National Seashore","title":"Optimizing historical preservation under climate change—An overview of the optimal preservation model and pilot testing at Cape Lookout National Seashore","docAbstract":"<p>Adapting cultural resources to climate-change effects challenges traditional cultural resource decision making because some adaptation strategies can negatively affect the integrity of cultural resources. Yet, the inevitability of climate-change effects—even given the uncertain timing of those effects—necessitates that managers begin prioritizing resources for climate-change adaptation. Prioritization imposes an additional management challenge: managers must make difficult tradeoffs to achieve desired management outcomes related to maximizing the resource values. This report provides an overview of a pilot effort to integrate vulnerability (exposure and sensitivity), significance, and use potential metrics in a decision framework—the Optimal Preservation (OptiPres) Model—to inform climate adaptation planning of a subset of buildings in historic districts (listed on the National Register of Historic Places) at Cape Lookout National Seashore. The OptiPres Model uses a numerical optimization algorithm to assess the timing and application of a portfolio of adaptation actions that could most effectively preserve an assortment of buildings associated with different histories, intended uses, and construction design and materials over a 30-year planning horizon. The outputs from the different budget scenarios, though not prescriptive, provide visualizations of and insights to the sequence and type of optimal actions and the changes to individual building resource values and accumulated resource values. Study findings suggest the OptiPres Model has planning utility related to fiscal efficiency by identifying a budget threshold necessary to maintain the historical significance and use potential of historical buildings while reducing vulnerability (collectively, the accumulated resource value). Specifically, findings identify that a minimum of the industry standard ($222,000 annually for the 17 buildings) is needed to maintain the current accumulated resource value. Additionally, results suggest that additional appropriations provided on regular intervals when annual appropriations are at the industry standard are nearly as efficient as annual appropriations at twice the rate of industry standards and increase the amount of accumulated resource values to nearly the same level. However, periodic increases in funding may increase the risks posed to buildings from the probability of a natural hazard (that is, damage or loss from a hurricane). Suggestions for model refinements include developing standardized cost estimations for adaptation actions based on square footage and building materials, developing metrics to quantify the historical integrity of buildings, integrating social values data, including additional objectives (such as public safety) in the model, refining vulnerability data and transforming the data to include risk assessment, and incorporating stochastic events (that is, hurricane and wind effects) into the model.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181180","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Seekamp, E., Post van der Burg, M., Fatorić, S., Eaton, M.J., Xiao, X., and McCreary, A., 2019, Optimizing historical preservation under climate change—An overview of the optimal preservation model and pilot testing at Cape Lookout National Seashore: U.S. Geological Survey Open-File Report 2018–1180, 46 p., https://doi.org/10.3133/ofr20181180.","productDescription":"vii, 46 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096582","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":362669,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1180/ofr20181180.pdf","text":"Report","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1180"},{"id":362668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1180/coverthb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.66397094726562,\n              34.699848377328934\n            ],\n            [\n              -76.67770385742188,\n              34.67274685882317\n            ],\n            [\n              -76.53213500976562,\n              34.557466483188996\n            ],\n            [\n              -76.02264404296875,\n              35.06147690849717\n            ],\n            [\n              -76.0638427734375,\n              35.09519259251624\n            ],\n            [\n              -76.53076171875,\n              34.66597009307397\n            ],\n            [\n              -76.66397094726562,\n              34.699848377328934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://casc.usgs.gov/\" data-mce-href=\"https://casc.usgs.gov/\">National Climate Adaptation Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 516<br>Reston, VA 20192<br>Email: <a href=\"mailto:casc@usgs.gov\" data-mce-href=\"mailto:casc@usgs.gov\">casc@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Model Development</li><li>The Optimal Preservation Model</li><li>Comparing Scenarios</li><li>Insights From The Pilot Study</li><li>Considerations For Advancing The Optipres Model</li><li>References Cited</li><li>Appendix 1. Optimal Preservation Model Objectives, Attributes, Weights, Actions, and Costs</li><li>Appendix 2. Value of Condition, Remaining Significance, and Use Potential for 17 Buildings Among Different Scenarios</li><li>Appendix 3. Computer Code for Optimal Preservation Model</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-04-09","noUsgsAuthors":false,"publicationDate":"2019-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Seekamp, Erin","contributorId":212832,"corporation":false,"usgs":false,"family":"Seekamp","given":"Erin","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":756703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":756704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fatoric, Sandra","contributorId":212834,"corporation":false,"usgs":false,"family":"Fatoric","given":"Sandra","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":756705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":756702,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiao","contributorId":212835,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiao","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":756706,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCreary, Allie","contributorId":212836,"corporation":false,"usgs":false,"family":"McCreary","given":"Allie","email":"","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":756707,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}