No abstract available.
This report describes the preliminary viability assessment (PVA) of forecast informed reservoir operations (FIRO) for Lake Mendocino, which is located on the East Fork Russian River three miles east of Ukiah, California. The results described in this report represent the collective activities of the Lake Mendocino FIRO Steering Committee (SC) (SC members are named on the inside cover of the report). The SC consists of water managers and scientists from several federal, state, and local agencies, and universities who have teamed to evaluate whether current technology and scientific understanding can be utilized to improve reliability of meeting water management objectives of Lake Mendocino while not impairing flood protection. While the PVA provides an initial evaluation of the viability of FIRO as a concept, additional steps remain to complete the full viability assessment (FVA). Also, the PVA does not identify how FIRO strategies would be implemented. That effort would be the focus of the FVA, which builds off the analyses developed in the PVA.
This report summarizes current Lake Mendocino operation and a preliminary analysis of FIRO alternatives, including analysis methods, results, and recommendations. A set of accompanying reports describes the analysis in detail. These are referred to herein as the Sonoma County Water Agency (SCWA) report, the Hydrologic Engineering Center (HEC) report, and the Center for Western Weather and Water Extremes (CW3E) report (SCWA 2017, USACE 2017, and CW3E 2017, respectively).
","language":"English","publisher":"Center For Western Weather and Water Extremes","usgsCitation":"Jasperse, J., Ralph, M., Anderson, M., Brekke, L.D., Dillabough, M., Dettinger, M.D., Haynes, A., Hartman, R., Jones, C., Forbis, J., Rutten, P., Talbot, C., and Webb, R., 2017, Preliminary viability assessment of Lake Mendocino forecast informed reservoir operations, 75 p.","productDescription":"75 p.","ipdsId":"IP-088766","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":351645,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://cw3e.ucsd.edu/FIRO_docs/FIRO_PVA.pdf"},{"id":351646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lake Mendocino","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f4","contributors":{"authors":[{"text":"Jasperse, Jay","contributorId":168661,"corporation":false,"usgs":false,"family":"Jasperse","given":"Jay","affiliations":[{"id":17863,"text":"Sonoma County Water Agency","active":true,"usgs":false}],"preferred":false,"id":714622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralph, Marty","contributorId":202509,"corporation":false,"usgs":false,"family":"Ralph","given":"Marty","email":"","affiliations":[],"preferred":false,"id":714623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Michael","contributorId":148971,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","affiliations":[],"preferred":false,"id":714624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brekke, Levi D.","contributorId":178126,"corporation":false,"usgs":false,"family":"Brekke","given":"Levi","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":714625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dillabough, Mike","contributorId":197942,"corporation":false,"usgs":false,"family":"Dillabough","given":"Mike","email":"","affiliations":[],"preferred":false,"id":714626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettinger, Michael D. 0000-0002-7509-7332 mddettin@usgs.gov","orcid":"https://orcid.org/0000-0002-7509-7332","contributorId":149896,"corporation":false,"usgs":true,"family":"Dettinger","given":"Michael","email":"mddettin@usgs.gov","middleInitial":"D.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"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":714621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haynes, Alan","contributorId":197943,"corporation":false,"usgs":false,"family":"Haynes","given":"Alan","email":"","affiliations":[],"preferred":false,"id":728616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hartman, Robert","contributorId":197944,"corporation":false,"usgs":false,"family":"Hartman","given":"Robert","email":"","affiliations":[],"preferred":false,"id":728617,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Christy","contributorId":197945,"corporation":false,"usgs":false,"family":"Jones","given":"Christy","email":"","affiliations":[],"preferred":false,"id":728618,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forbis, Joe","contributorId":197946,"corporation":false,"usgs":false,"family":"Forbis","given":"Joe","email":"","affiliations":[],"preferred":false,"id":714630,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rutten, Patrick","contributorId":197947,"corporation":false,"usgs":false,"family":"Rutten","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":714631,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Talbot, Cary","contributorId":197948,"corporation":false,"usgs":false,"family":"Talbot","given":"Cary","email":"","affiliations":[],"preferred":false,"id":714632,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":714633,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193575,"text":"70193575 - 2017 - High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","interactions":[],"lastModifiedDate":"2020-12-17T17:23:37.196426","indexId":"70193575","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","docAbstract":"Observations of Mustela frenata (Long-tailed Weasel) are rare within the southern Appalachians, while observations of Tamias striatus (Eastern Chipmunk) are uncommon in high-elevation spruce-fir forests. We conducted camera-trap surveys at Roan Mountain Highlands, Mitchell County, NC, during summer 2016 in a Picea rubens (Red Spruce)—Abies fraseri (Fraser Fir) forest. During the survey, we observed a Long-tailed Weasel at 1893 m in elevation and an Eastern Chipmunk at 1703 m in elevation. These are the highest-elevation records for both species in the eastern United States outside of Great Smoky Mountains National Park, and the highest elevation record for Longtailed Weasel in North Carolina.
","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.016.0321","usgsCitation":"Moser, A.M., Diggins, C.A., and Ford, W., 2017, High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina: Southeastern Naturalist, v. 16, no. 3, p. N40-N42, https://doi.org/10.1656/058.016.0321.","productDescription":"3 p.","startPage":"N40","endPage":"N42","ipdsId":"IP-083316","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-75.753765,35.199612],[-75.718015,35.209377],[-75.684006,35.232913],[-75.664512,35.227514],[-75.630358,35.238487],[-75.599005,35.256253],[-75.596915,35.269491],[-75.581935,35.263917],[-75.535741,35.272856],[-75.529393,35.288272],[-75.487678,35.485056],[-75.487528,35.525889],[-75.47861,35.553069],[-75.48133,35.622896],[-75.487678,35.648287],[-75.507385,35.680564],[-75.515397,35.73038],[-75.533512,35.773577],[-75.522232,35.774178],[-75.496086,35.728515],[-75.458659,35.596597],[-75.471355,35.479615],[-75.486771,35.391652],[-75.52592,35.233839],[-75.533627,35.225825],[-75.560225,35.232048],[-75.610101,35.227514],[-75.769705,35.180359],[-75.944725,35.105091],[-76.013145,35.061855],[-76.013561,35.068832],[-75.99188,35.092395],[-75.989175,35.115165],[-75.98395,35.120042],[-75.9547,35.1196],[-75.893942,35.150433],[-75.801444,35.183079],[-75.785729,35.194244],[-75.753765,35.199612]]],[[[-75.675245,35.929024],[-75.65954,35.919564],[-75.662019,35.906522],[-75.64512,35.905788],[-75.62767,35.883149],[-75.616833,35.856331],[-75.619772,35.847606],[-75.614361,35.815659],[-75.620454,35.809253],[-75.63898,35.818639],[-75.667891,35.82354],[-75.675054,35.830204],[-75.660086,35.83861],[-75.663356,35.869835],[-75.67283,35.882423],[-75.681415,35.88398],[-75.697672,35.901639],[-75.696871,35.909556],[-75.702165,35.915428],[-75.723782,35.925569],[-75.727251,35.93362],[-75.718266,35.939714],[-75.705323,35.939403],[-75.675245,35.929024]]],[[[-76.12236,36.550621],[-75.867044,36.550754],[-75.818735,36.357579],[-75.773329,36.231529],[-75.71831,36.113674],[-75.658537,36.02043],[-75.569794,35.863301],[-75.533012,35.787377],[-75.536428,35.780118],[-75.543259,35.779691],[-75.573083,35.828867],[-75.588878,35.844926],[-75.619151,35.889415],[-75.620114,35.925288],[-75.648899,35.965758],[-75.668379,35.978394],[-75.678909,35.993925],[-75.723662,36.003139],[-75.727084,36.01051],[-75.722609,36.037362],[-75.737088,36.040784],[-75.74051,36.046839],[-75.73972,36.07527],[-75.75572,36.153922],[-75.783676,36.215949],[-75.811588,36.244014],[-75.808165,36.259545],[-75.814483,36.285344],[-75.822907,36.291662],[-75.837913,36.294558],[-75.845284,36.305614],[-75.841335,36.328517],[-75.831858,36.339047],[-75.831595,36.346418],[-75.836201,36.363135],[-75.85147,36.379456],[-75.85147,36.415785],[-75.864106,36.430527],[-75.888325,36.441583],[-75.899908,36.482124],[-75.907279,36.485809],[-75.924127,36.482124],[-75.935473,36.490601],[-75.972545,36.494671],[-76.003708,36.506235],[-76.023627,36.500778],[-76.031949,36.482496],[-76.012337,36.447462],[-75.98005,36.435464],[-75.962285,36.41724],[-75.940676,36.41885],[-75.928369,36.428588],[-75.923601,36.425788],[-75.916409,36.38901],[-75.923331,36.361863],[-75.895285,36.319615],[-75.882154,36.284674],[-75.864933,36.284674],[-75.86052,36.280607],[-75.867356,36.252483],[-75.864154,36.235522],[-75.858703,36.222628],[-75.848838,36.21657],[-75.838367,36.200129],[-75.839924,36.17711],[-75.823915,36.158332],[-75.822531,36.145957],[-75.800378,36.112728],[-75.791637,36.082267],[-75.793974,36.07171],[-75.836084,36.092616],[-75.867792,36.127262],[-75.863914,36.159226],[-75.882987,36.186807],[-75.910658,36.212157],[-75.922344,36.244122],[-75.94984,36.25787],[-75.96462,36.254433],[-75.957058,36.247903],[-75.945372,36.222468],[-75.956027,36.198065],[-75.936436,36.18088],[-75.904999,36.164188],[-75.939047,36.165518],[-76.016984,36.186367],[-76.029086,36.202036],[-76.043838,36.210126],[-76.054308,36.229162],[-76.08148,36.237935],[-76.132005,36.287773],[-76.184702,36.298166],[-76.188717,36.281242],[-76.171378,36.265806],[-76.149486,36.263902],[-76.115851,36.214219],[-76.080106,36.19944],[-76.05992,36.15514],[-76.064224,36.143775],[-76.092555,36.135794],[-76.178946,36.123424],[-76.206873,36.137521],[-76.254064,36.18419],[-76.273316,36.189062],[-76.27699,36.184952],[-76.247401,36.161823],[-76.228527,36.130647],[-76.191715,36.107197],[-76.216599,36.095409],[-76.265037,36.104886],[-76.329921,36.133396],[-76.373571,36.138208],[-76.3935,36.163251],[-76.447812,36.192514],[-76.454414,36.189901],[-76.456061,36.183577],[-76.375892,36.12042],[-76.346418,36.121023],[-76.334965,36.110903],[-76.298733,36.1012],[-76.303998,36.092776],[-76.323478,36.084879],[-76.355069,36.086458],[-76.410878,36.078034],[-76.420881,36.06066],[-76.451418,36.039073],[-76.459316,36.024331],[-76.491959,36.018013],[-76.514335,36.00564],[-76.547505,36.009852],[-76.580674,36.00722],[-76.60384,36.033018],[-76.615423,36.037757],[-76.653332,36.035124],[-76.676484,36.043612],[-76.721445,36.147838],[-76.719401,36.199441],[-76.675462,36.266882],[-76.693253,36.278357],[-76.744436,36.212725],[-76.7521,36.147328],[-76.722996,36.066585],[-76.679657,35.991951],[-76.70019,35.964573],[-76.692376,35.945342],[-76.667547,35.933509],[-76.528551,35.944039],[-76.473795,35.960888],[-76.460632,35.970365],[-76.398242,35.984317],[-76.38192,35.971681],[-76.381394,35.96273],[-76.362966,35.942197],[-76.340327,35.94325],[-76.317687,35.946935],[-76.272408,35.972734],[-76.213966,35.988002],[-76.176585,35.993267],[-76.093697,35.993001],[-76.083131,35.989845],[-76.062071,35.993004],[-76.024162,35.970891],[-76.014159,35.957202],[-76.01995,35.934036],[-76.014353,35.920746],[-76.063203,35.853433],[-76.050485,35.806689],[-76.046813,35.717935],[-76.036393,35.690344],[-76.046361,35.659067],[-76.04015,35.65131],[-76.029863,35.649443],[-76.013808,35.669103],[-75.9869,35.768194],[-75.987148,35.836967],[-75.97783,35.897181],[-75.962562,35.901393],[-75.94782,35.920347],[-75.927286,35.93193],[-75.92676,35.940354],[-75.943608,35.952464],[-75.947293,35.959835],[-75.899382,35.977209],[-75.84989,35.976156],[-75.80935,35.959308],[-75.800926,35.944566],[-75.782498,35.935615],[-75.778813,35.918241],[-75.751961,35.878227],[-75.748276,35.852428],[-75.734587,35.839266],[-75.727216,35.822703],[-75.726689,35.811361],[-75.739357,35.770994],[-75.724743,35.742892],[-75.71294,35.69849],[-75.713502,35.693993],[-75.741605,35.672073],[-75.742167,35.655212],[-75.729802,35.625985],[-75.747225,35.610248],[-75.778138,35.592262],[-75.775328,35.579335],[-75.837154,35.570904],[-75.859636,35.586641],[-75.895045,35.573152],[-75.916403,35.538305],[-75.950126,35.530998],[-75.964178,35.511326],[-75.963053,35.493903],[-75.987222,35.484348],[-75.995652,35.475355],[-75.997901,35.453435],[-76.009704,35.442194],[-76.01139,35.423084],[-76.020945,35.410719],[-76.025441,35.408471],[-76.050171,35.415778],[-76.059726,35.410157],[-76.063661,35.405099],[-76.059726,35.383741],[-76.069281,35.370813],[-76.132793,35.349455],[-76.14291,35.338776],[-76.14291,35.32866],[-76.149655,35.326411],[-76.182254,35.336528],[-76.20586,35.336528],[-76.235087,35.350017],[-76.253072,35.350017],[-76.257569,35.344397],[-76.265437,35.343273],[-76.282299,35.345521],[-76.304781,35.355638],[-76.327263,35.356762],[-76.335132,35.355638],[-76.340752,35.346645],[-76.349745,35.345521],[-76.382344,35.356762],[-76.399206,35.348893],[-76.408199,35.350017],[-76.431805,35.362383],[-76.436301,35.37812],[-76.448666,35.383741],[-76.462156,35.380368],[-76.472273,35.371375],[-76.485762,35.371375],[-76.540292,35.410657],[-76.586349,35.508957],[-76.476706,35.511707],[-76.456427,35.550546],[-76.471207,35.55742],[-76.48358,35.538172],[-76.55679,35.528892],[-76.600441,35.538516],[-76.634468,35.510332],[-76.601472,35.460838],[-76.580187,35.387113],[-76.606041,35.387113],[-76.710083,35.427155],[-76.759234,35.418906],[-76.830897,35.447949],[-76.942022,35.473529],[-77.023912,35.514802],[-77.026638,35.490569],[-76.967214,35.438296],[-76.891938,35.433649],[-76.664027,35.345696],[-76.500375,35.321915],[-76.482389,35.314046],[-76.467776,35.276951],[-76.467776,35.261213],[-76.477893,35.243228],[-76.490258,35.233111],[-76.494755,35.212877],[-76.521733,35.192643],[-76.536346,35.174657],[-76.539719,35.166788],[-76.536346,35.142058],[-76.546463,35.122948],[-76.557704,35.116204],[-76.568945,35.097094],[-76.60042,35.067867],[-76.631895,35.056626],[-76.801426,34.964369],[-76.982904,35.060607],[-76.989778,35.045484],[-76.977404,35.004926],[-76.89354,34.957495],[-76.762931,34.920374],[-76.635072,34.989116],[-76.588055,34.991428],[-76.566697,34.998173],[-76.502623,35.007166],[-76.491382,35.017283],[-76.490258,35.034144],[-76.474521,35.070116],[-76.463468,35.076411],[-76.435762,35.057941],[-76.425461,35.001464],[-76.395625,34.975179],[-76.332044,34.970917],[-76.326361,34.976245],[-76.329557,34.986901],[-76.364367,35.034853],[-76.318546,35.020645],[-76.288354,35.005726],[-76.296524,34.976245],[-76.275567,34.960971],[-76.277698,34.940014],[-76.347673,34.872171],[-76.368274,34.872881],[-76.379641,34.86258],[-76.400242,34.855476],[-76.463016,34.785076],[-76.524712,34.681964],[-76.586236,34.698805],[-76.582421,34.767757],[-76.604796,34.787482],[-76.620606,34.784389],[-76.616567,34.714059],[-76.673619,34.71491],[-76.673537,34.70757],[-76.523303,34.652271],[-76.383827,34.807906],[-76.322808,34.86116],[-76.233672,34.925926],[-76.093349,35.048705],[-76.069906,35.075701],[-76.043621,35.070017],[-76.035933,35.058987],[-76.137269,34.987858],[-76.233088,34.905477],[-76.31021,34.852309],[-76.386804,34.784579],[-76.494068,34.66197],[-76.524199,34.615416],[-76.535946,34.588577],[-76.555196,34.615993],[-76.549343,34.645585],[-76.579467,34.660174],[-76.642939,34.677618],[-76.676312,34.693151],[-76.770044,34.696899],[-76.817453,34.693722],[-76.990262,34.669623],[-77.136843,34.632926],[-77.209161,34.605032],[-77.322524,34.535574],[-77.462922,34.471354],[-77.556943,34.417218],[-77.661673,34.341868],[-77.740136,34.272546],[-77.829209,34.162618],[-77.878161,34.067963],[-77.915536,33.971723],[-77.946568,33.912261],[-77.960172,33.853315],[-77.970606,33.844517],[-78.009973,33.861406],[-78.018689,33.888289],[-78.095429,33.906031],[-78.17772,33.914272],[-78.276147,33.912364],[-78.383964,33.901946],[-78.509042,33.865515],[-78.541087,33.851112],[-79.358317,34.545358],[-79.675299,34.804744],[-80.797543,34.819786],[-80.782042,34.935782],[-80.93495,35.107409],[-81.041489,35.044703],[-81.057648,35.062433],[-81.058029,35.07319],[-81.052078,35.096276],[-81.032806,35.108049],[-81.038968,35.126299],[-81.05042,35.131048],[-81.044391,35.147918],[-81.239358,35.159974],[-82.27492,35.200071],[-82.314863,35.191089],[-82.32335,35.184789],[-82.344554,35.193115],[-82.361469,35.190831],[-82.36899,35.181747],[-82.379712,35.186884],[-82.378744,35.198053],[-82.390439,35.215395],[-82.403348,35.204473],[-82.417597,35.200131],[-82.439595,35.165863],[-82.448969,35.165037],[-82.455609,35.177425],[-82.460092,35.178143],[-82.483937,35.173798],[-82.495506,35.164312],[-82.516044,35.163442],[-82.529973,35.155617],[-82.550508,35.159498],[-82.556168,35.151736],[-82.563767,35.151575],[-82.578316,35.142104],[-82.609706,35.139039],[-82.629031,35.126155],[-82.642237,35.129215],[-82.662381,35.118123],[-82.683625,35.125833],[-82.694898,35.098456],[-82.72701,35.094142],[-82.738379,35.079453],[-82.749491,35.078487],[-82.757704,35.068019],[-82.777376,35.064143],[-82.781973,35.066817],[-82.776357,35.081349],[-82.787867,35.085024],[-83.108535,35.000771],[-83.620185,34.992091],[-83.619985,34.986592],[-84.321869,34.988408],[-84.29024,35.225572],[-84.28322,35.226577],[-84.223718,35.269078],[-84.211818,35.266078],[-84.202879,35.255772],[-84.200117,35.244679],[-84.188417,35.239979],[-84.170416,35.245779],[-84.12889,35.243679],[-84.12115,35.250644],[-84.097508,35.247382],[-84.081117,35.261146],[-84.052612,35.269982],[-84.02141,35.301383],[-84.02651,35.309283],[-84.03501,35.311983],[-84.029377,35.333197],[-84.038081,35.348363],[-84.024756,35.353896],[-84.007586,35.371661],[-84.008207,35.389683],[-84.021782,35.407418],[-84.00225,35.422548],[-83.992568,35.438065],[-83.973057,35.448921],[-83.971439,35.455145],[-83.966656,35.454941],[-83.961054,35.462838],[-83.949389,35.461164],[-83.937015,35.471511],[-83.911773,35.476028],[-83.905612,35.48906],[-83.880074,35.518745],[-83.859261,35.521851],[-83.848502,35.519259],[-83.827428,35.524653],[-83.802434,35.541588],[-83.780129,35.550387],[-83.771736,35.562118],[-83.749894,35.561146],[-83.735669,35.565455],[-83.723459,35.561874],[-83.707199,35.568533],[-83.676268,35.570289],[-83.640498,35.566075],[-83.608889,35.579451],[-83.582,35.562684],[-83.56609,35.565993],[-83.498335,35.562981],[-83.485527,35.568204],[-83.479317,35.582764],[-83.455722,35.598045],[-83.445802,35.611803],[-83.421576,35.611186],[-83.396626,35.62272],[-83.388602,35.632352],[-83.366941,35.638728],[-83.35156,35.659858],[-83.334965,35.665471],[-83.321101,35.662815],[-83.312757,35.654809],[-83.297154,35.65775],[-83.290682,35.672638],[-83.258117,35.691924],[-83.255489,35.714974],[-83.251247,35.719916],[-83.240669,35.72676],[-83.214501,35.724434],[-83.18837,35.729798],[-83.159208,35.764892],[-83.120183,35.766234],[-83.07403,35.790016],[-83.036209,35.787405],[-83.001473,35.773752],[-82.992053,35.773948],[-82.964088,35.78998],[-82.961724,35.800491],[-82.945515,35.824662],[-82.920171,35.841664],[-82.918312,35.863977],[-82.901301,35.872593],[-82.901843,35.890274],[-82.911936,35.921618],[-82.901577,35.931446],[-82.898506,35.9451],[-82.874159,35.952698],[-82.860724,35.94743],[-82.852554,35.949089],[-82.826045,35.929721],[-82.82257,35.922531],[-82.804997,35.927168],[-82.805771,35.935316],[-82.800431,35.944155],[-82.787465,35.952163],[-82.785356,35.96253],[-82.774905,35.971978],[-82.785558,35.977795],[-82.785267,35.987927],[-82.776001,36.000103],[-82.750065,36.006004],[-82.688865,36.038604],[-82.684765,36.045004],[-82.637165,36.065805],[-82.618664,36.056105],[-82.618164,36.047005],[-82.609663,36.044906],[-82.596177,36.03188],[-82.595525,36.026012],[-82.614362,36.003506],[-82.613028,35.994],[-82.604239,35.987319],[-82.610889,35.967409],[-82.581003,35.965557],[-82.576678,35.959255],[-82.557874,35.953901],[-82.549682,35.964275],[-82.507068,35.977475],[-82.483498,35.996284],[-82.460658,36.007809],[-82.409458,36.083409],[-82.355157,36.115609],[-82.336756,36.114909],[-82.321448,36.119551],[-82.289455,36.13571],[-82.270954,36.12761],[-82.260353,36.13371],[-82.247521,36.130865],[-82.213852,36.159112],[-82.182549,36.143714],[-82.147948,36.149516],[-82.136547,36.128817],[-82.137974,36.119576],[-82.127146,36.104417],[-82.105444,36.108119],[-82.080303,36.105728],[-82.061342,36.113121],[-82.054142,36.126821],[-82.033141,36.120422],[-81.908137,36.302013],[-81.879382,36.313767],[-81.857333,36.334787],[-81.841268,36.343321],[-81.800812,36.358073],[-81.766102,36.338517],[-81.730976,36.341187],[-81.707438,36.335171],[-81.707785,36.346007],[-81.721334,36.353101],[-81.732865,36.376502],[-81.729813,36.388033],[-81.737952,36.39719],[-81.739648,36.406686],[-81.720734,36.422537],[-81.715229,36.436532],[-81.71489,36.45722],[-81.695311,36.467912],[-81.697829,36.507544],[-81.707573,36.526101],[-81.707963,36.536209],[-81.699962,36.536829],[-81.69003,36.552154],[-81.690236,36.568718],[-81.677036,36.570718],[-81.677535,36.588117],[-81.003802,36.563629],[-80.837954,36.559131],[-80.704831,36.562319],[-80.295243,36.543973],[-80.122183,36.542646],[-78.529722,36.540981],[-77.16966,36.547315],[-77.152691,36.544078],[-76.916048,36.543815],[-76.916989,36.550742],[-76.12236,36.550621]]]]},\"properties\":{\"name\":\"North Carolina\",\"nation\":\"USA \"}}]}","volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf3","contributors":{"authors":[{"text":"Moser, Allison M.","contributorId":200319,"corporation":false,"usgs":false,"family":"Moser","given":"Allison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":721902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719416,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192672,"text":"70192672 - 2017 - A guide to multi-objective optimization for ecological problems with an application to cackling goose management","interactions":[],"lastModifiedDate":"2017-11-08T15:04:05","indexId":"70192672","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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 guide to multi-objective optimization for ecological problems with an application to cackling goose management","docAbstract":"Choices in ecological research and management are the result of balancing multiple, often competing, objectives. Multi-objective optimization (MOO) is a formal decision-theoretic framework for solving multiple objective problems. MOO is used extensively in other fields including engineering, economics, and operations research. However, its application for solving ecological problems has been sparse, perhaps due to a lack of widespread understanding. Thus, our objective was to provide an accessible primer on MOO, including a review of methods common in other fields, a review of their application in ecology, and a demonstration to an applied resource management problem.
A large class of methods for solving MOO problems can be separated into two strategies: modelling preferences pre-optimization (the a priori strategy), or modelling preferences post-optimization (the a posteriori strategy). The a priori strategy requires describing preferences among objectives without knowledge of how preferences affect the resulting decision. In the a posteriori strategy, the decision maker simultaneously considers a set of solutions (the Pareto optimal set) and makes a choice based on the trade-offs observed in the set. We describe several methods for modelling preferences pre-optimization, including: the bounded objective function method, the lexicographic method, and the weighted-sum method. We discuss modelling preferences post-optimization through examination of the Pareto optimal set. We applied each MOO strategy to the natural resource management problem of selecting a population target for cackling goose (Branta hutchinsii minima) abundance. Cackling geese provide food security to Native Alaskan subsistence hunters in the goose's nesting area, but depredate crops on private agricultural fields in wintering areas. We developed objective functions to represent the competing objectives related to the cackling goose population target and identified an optimal solution first using the a priori strategy, and then by examining trade-offs in the Pareto set using the a posteriori strategy. We used four approaches for selecting a final solution within the a posteriori strategy; the most common optimal solution, the most robust optimal solution, and two solutions based on maximizing a restricted portion of the Pareto set. We discuss MOO with respect to natural resource management, but MOO is sufficiently general to cover any ecological problem that contains multiple competing objectives that can be quantified using objective functions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.10.010","usgsCitation":"Williams, P.J., and Kendall, W., 2017, A guide to multi-objective optimization for ecological problems with an application to cackling goose management: Ecological Modelling, v. 343, p. 54-67, https://doi.org/10.1016/j.ecolmodel.2016.10.010.","productDescription":"14 p.","startPage":"54","endPage":"67","ipdsId":"IP-074514","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.10.010","text":"Publisher Index Page"},{"id":348487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"343","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453c5","contributors":{"authors":[{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":721333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716696,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192670,"text":"70192670 - 2017 - Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","interactions":[],"lastModifiedDate":"2017-11-29T13:55:13","indexId":"70192670","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","docAbstract":"Understanding the evolution of passive margins requires knowledge of temporal and chemical constraints on magmatism following the transition from supercontinent to rifting, to post-rifting evolution. The Eastern North American Margin (ENAM) is an ideal study location as several magmatic pulses occurred in the 200 My following rifting. In particular, the Virginia-West Virginia region of the ENAM has experienced two postrift magmatic pulses at ∼152 Ma and 47 Ma, and thus provides a unique opportunity to study the long-term magmatic evolution of passive margins. Here we present a comprehensive set of geochemical data that includes new 40Ar/39Ar ages, major and trace-element compositions, and analysis of radiogenic isotopes to further constrain their magmatic history. The Late Jurassic volcanics are bimodal, from basanites to phonolites, while the Eocene volcanics range from picrobasalt to rhyolite. Modeling suggests that the felsic volcanics from both the Late Jurassic and Eocene events are consistent with fractional crystallization. Sr-Nd-Pb systematics for the Late Jurassic event suggests HIMU and EMII components in the magma source that we interpret as upper mantle components rather than crustal interaction. Lithospheric delamination is the best hypothesis for magmatism in Virginia/West Virginia, due to tectonic instabilities that are remnant from the long-term evolution of this margin, resulting in a “passive-aggressive” margin that records multiple magmatic events long after rifting ended.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GC006646","usgsCitation":"Mazza, S.E., Gazel, E., Johnson, E.A., Bizmis, M., McAleer, R., and Biryol, C.B., 2017, Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin: Geochemistry, Geophysics, Geosystems, v. 18, no. 1, p. 3-22, https://doi.org/10.1002/2016GC006646.","productDescription":"20 p.","startPage":"3","endPage":"22","ipdsId":"IP-079810","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.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 -79.6667,\n 38.1667\n ],\n [\n -78.6667,\n 38.1667\n ],\n [\n -78.6667,\n 38.6667\n ],\n [\n -79.6667,\n 38.6667\n ],\n [\n -79.6667,\n 38.1667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bff","contributors":{"authors":[{"text":"Mazza, Sarah E. 0000-0001-8091-1186","orcid":"https://orcid.org/0000-0001-8091-1186","contributorId":198664,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":716691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Elizabeth A. 0000-0001-7244-6122","orcid":"https://orcid.org/0000-0001-7244-6122","contributorId":198665,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bizmis, Michael 0000-0002-4611-6928","orcid":"https://orcid.org/0000-0002-4611-6928","contributorId":198666,"corporation":false,"usgs":false,"family":"Bizmis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":716693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":716689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biryol, C. Berk","contributorId":198667,"corporation":false,"usgs":false,"family":"Biryol","given":"C.","email":"","middleInitial":"Berk","affiliations":[],"preferred":false,"id":716694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193025,"text":"70193025 - 2017 - Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","interactions":[],"lastModifiedDate":"2017-11-12T11:35:55","indexId":"70193025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","docAbstract":"Lake Lungo and Lake Ripasottile are two shallow (4-5 m) lakes located in the Rieti Basin, central Italy, that have been described previously as surface outcroppings of the groundwater table. In this work, the two lakes as well as springs and rivers that represent their potential source waters are characterized physio-chemically and isotopically, using a combination of environmental tracers. Temperature and pH were measured and water samples were analyzed for alkalinity, major ion concentration, and stable isotope (δ2H, δ18O, δ13C of dissolved inorganic carbon, and δ34S and δ18O of sulfate) composition. Chemical data were also investigated in terms of local meteorological data (air temperature, precipitation) to determine the sensitivity of lake parameters to changes in the surrounding environment. Groundwater represented by samples taken from Santa Susanna Spring was shown to be distinct with SO42- and Mg2+ content of 270 and 29 mg/L, respectively, and heavy sulfate isotopic composition(δ34S=15.2 ‰ and δ18O=10‰). Outflow from the Santa Susanna Spring enters Lake Ripasottile via a canal and both spring and lake water exhibits the same chemical distinctions and comparatively low seasonal variability. Major ion concentrations in Lake Lungo are similar to the Vicenna Riara Spring and are interpreted to represent the groundwater locally recharged within the plain. The δ13CDIC exhibit the same groupings as the other chemical parameters, providing supporting evidence of the source relationships. Lake Lungo exhibited exceptional ranges of δ13CDIC (±5 ‰) and δ2H, δ18O (±5 ‰ and ±7 ‰, respectively), attributed to sensitivity to seasonal changes. The hydrochemistry results, particularly major ion data, highlight how the two lakes, though geographically and morphologically similar, represent distinct hydrochemical facies. These data also show a different response in each lake to temperature and precipitation patterns in the basin that may be attributed to lake water retention time. The sensitivity of each lake to meteorological patterns can be used to understand the potential effects from long-term climate variability.","language":"English","publisher":"PAGEPress Scientific Publications","publisherLocation":"Pavia, Italy","doi":"10.4081/jlimnol.2016.1576","usgsCitation":"Archer, C., Noble, P., Kreamer, D., Piscopo, V., Petitta, M., Rosen, M.R., Poulson, S.R., Piovesan, G., and Mensing, S., 2017, Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy): Journal of Limnology, v. 76, no. 2, p. 326-342, https://doi.org/10.4081/jlimnol.2016.1576.","productDescription":"17 p.","startPage":"326","endPage":"342","ipdsId":"IP-079585","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1576","text":"Publisher Index Page"},{"id":348621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Lake Lungo, Lake Ripasottile","volume":"76","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94149","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreamer, David","contributorId":198954,"corporation":false,"usgs":false,"family":"Kreamer","given":"David","email":"","affiliations":[{"id":30777,"text":"Department of Geoscience, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piscopo, Vincenzo","contributorId":198955,"corporation":false,"usgs":false,"family":"Piscopo","given":"Vincenzo","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petitta, Marco","contributorId":198956,"corporation":false,"usgs":false,"family":"Petitta","given":"Marco","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":717692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":717695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193446,"text":"70193446 - 2017 - Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","interactions":[],"lastModifiedDate":"2020-12-17T17:12:15.327019","indexId":"70193446","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","docAbstract":"Giant Canada geese (Branta canadensis maxima) were extirpated from Iowa by the early 1900s due to unregulated hunting, egg gathering, and wetland drainage in the nineteenth century (Bishop 1978). Ef- forts to reintroduce Canada geese in Iowa began in 1964 (Bishop and Howing 1972) and involved releasing flightless adults and goslings at nearly 30 sites across the state (Zenner and LaGrange 1998a). In 1972, 13 flightless pairs were released at Rice Lake Wildlife Management Area (WMA; Bishop 1978). By 1989, the breeding population of Canada geese at Rice Lake WMA had increased to 420 nesting adults (G. G. Zenner, Iowa Department of Natural Resources, unpublished data). Canada goose nest success and nest densities were documented from 1989–1991 on extant islands at Rice Lake WMA (Zenner and LaGrange 1998b).
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water in Kentucky: Natural history, communities, and conservation","language":"English","publisher":"University Press of Kentucky","usgsCitation":"Lee, B.D., Williamson, T.N., and Crain, A.S., 2017, Water quality and natural resources in the Green River Basin, chap. of Water in Kentucky: Natural history, communities, and conservation, p. 133-150.","productDescription":"18 p.","startPage":"133","endPage":"150","ipdsId":"IP-046141","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":350972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350971,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.kentuckypress.com/live/title_detail.php?titleid=2917#.WnS7r7enFhE"}],"country":"United States","state":"Kentucky","otherGeospatial":"Green River Basin","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7586d9e4b00f54eb1d81f8","contributors":{"authors":[{"text":"Lee, Brad D.","contributorId":138937,"corporation":false,"usgs":false,"family":"Lee","given":"Brad","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":715703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crain, Angela S. 0000-0003-0969-6238 ascrain@usgs.gov","orcid":"https://orcid.org/0000-0003-0969-6238","contributorId":3090,"corporation":false,"usgs":true,"family":"Crain","given":"Angela","email":"ascrain@usgs.gov","middleInitial":"S.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194510,"text":"70194510 - 2017 - Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","interactions":[],"lastModifiedDate":"2018-03-05T16:18:22","indexId":"70194510","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Phosphorus (P) and HABs: Sources of P discharged from the Maumee River into Lake Erie","docAbstract":"No abstract available.
Arid and semiarid ecosystems cover approximately 40% of Earth’s terrestrial surface and are present on each of the planet’s continents [1]. Drylands are characterized by their aridity, but there is substantial geographic, edaphic, and climatic variability among these vast ecosystems, and these differences underscore substantial variation in dryland soil microbial communities, as well as in the future climates predicted among arid and semiarid systems globally. Furthermore, arid ecosystems are commonly patchy at a variety of spatial scales [2,3]. Vascular plants are widely interspersed in drylands and bare soil, or soil that is covered with biological soil crusts, fill these spaces. The variability acts to further enhance spatial heterogeneity, as these different zones within dryland ecosystems differ in characteristics such as water retention, albedo, and nutrient cycling [4–6]. Importantly, the various soil patches of an arid landscape may be differentially sensitive to climate change. Soil communities are only active when enough moisture is available, and drylands show large spatial variability in soil moisture, with potentially long dry periods followed by pulses of moisture. The pulse dynamics associated with this wetting and drying affect the composition, structure, and function of dryland soil communities, and integrate biotic and abiotic processes via pulse-driven exchanges, interactions, transitions, and transfers. Climate change will likely alter the size, frequency, and intensity of future precipitation pulses, as well as influence non-rainfall sources of soil moisture, and aridland ecosystems are known to be highly sensitive to such climate variability. Despite great heterogeneity, arid ecosystems are united by a key parameter: a limitation in water availability. This characteristic may help to uncover unifying aspects of dryland soil responses to global change.
The dryness of an ecosystem can be described by its aridity index (AI). Several AIs have been proposed, but the most widely used metrics determine the difference between average precipitation and potential evapotranspiration, where evapotranspiration is the sum of evaporation and plant transpiration, both of which move water from the ecosystem to the atmosphere [7–9]. Because evapotranspiration can be affected by various environmental factors such as temperature and incident radiation (Fig. 10.1), regions that receive the same average precipitation may have significantly different AI values [10,11]. Multiple studies have documented that mean annual precipitation, and thus AI, is highly correlated with biological diversity and net primary productivity [12–15]. Accordingly, AI is considered to be a central regulator of the diversity, structure, and productivity of an ecosystem, playing an especially influential role in arid ecosystems. Thus, the climate parameters that drive alterations in the AI of a region are likely to play an disproportionate role in shaping the response of arid soil communities to a changing climate. In this chapter we consider climate parameters that have been shown to be altered through climate change, with a focus on how these parameters are likely to affect dryland soil communities, including microorganisms and invertebrates. In particular, our goal is to highlight dryland soil community structure and function in the context of climate change, and we will focus on community relationships with increased atmospheric CO2 concentrations (a primary driver of climate change), temperature, and sources of soil moisture.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The biology of arid soils","language":"English","publisher":"De Gruyter","doi":"10.1515/9783110419047-008","usgsCitation":"Steven, B., McHugh, T.A., and Reed, S.C., 2017, The response of arid soil communities to climate change: Chapter 8, chap. of The biology of arid soils, p. 139-158, https://doi.org/10.1515/9783110419047-008.","productDescription":"20 p.","startPage":"139","endPage":"158","ipdsId":"IP-076037","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f6","contributors":{"authors":[{"text":"Steven, Blaire","contributorId":197800,"corporation":false,"usgs":false,"family":"Steven","given":"Blaire","email":"","affiliations":[],"preferred":false,"id":714345,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Theresa Ann","contributorId":197801,"corporation":false,"usgs":false,"family":"McHugh","given":"Theresa","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":714346,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714344,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192816,"text":"70192816 - 2017 - Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models","interactions":[],"lastModifiedDate":"2018-02-26T13:16:51","indexId":"70192816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models","docAbstract":"Thickness of colluvium or regolith overlying bedrock or other consolidated materials is a major factor in determining stability of unconsolidated earth materials on steep slopes. Many efforts to model spatially distributed slope stability, for example to assess susceptibility to shallow landslides, have relied on estimates of constant thickness, constant depth, or simple models of thickness (or depth) based on slope and other topographic variables. Assumptions of constant depth or thickness rarely give satisfactory results. Geomorphologists have devised a number of different models to represent the spatial variability of regolith depth and applied them to various settings. I have applied some of these models that can be implemented numerically to different study areas with different types of terrain and tested the results against available depth measurements and landslide inventories. The areas include crystalline rocks of the Colorado Front Range, and gently dipping sedimentary rocks of the Oregon Coast Range. Model performance varies with model, terrain type, and with quality of the input topographic data. Steps in contour-derived 10-m digital elevation models (DEMs) introduce significant errors into the predicted distribution of regolith and landslides. Scan lines, facets, and other artifacts further degrade DEMs and model predictions. Resampling to a lower grid-cell resolution can mitigate effects of facets in lidar DEMs of areas where dense forest severely limits ground returns. Due to its higher accuracy and ability to penetrate vegetation, lidar-derived topography produces more realistic distributions of cover and potential landslides than conventional photogrammetrically derived topographic data.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice--Proceedings of the 3rd North American Symposium on Landslides: Association of Environmental and Engineering Geologists Special Publication 27","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Baum, R.L., 2017, Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models, in Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice--Proceedings of the 3rd North American Symposium on Landslides: Association of Environmental and Engineering Geologists Special Publication 27, p. 807-818.","productDescription":"12 p.","startPage":"807","endPage":"818","ipdsId":"IP-085830","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e6","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717052,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193622,"text":"70193622 - 2017 - An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","interactions":[],"lastModifiedDate":"2017-11-29T15:59:01","indexId":"70193622","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","docAbstract":"For at-risk wildlife species, it is important to consider conservation within the process of adaptive management. Golden-winged Warblers (Vermivora chrysoptera) are Neotropical migratory songbirds that are experiencing long-term population declines due in part to the loss of early-successional nesting habitat. Recently-developed Golden-winged Warbler habitat management guidelines are being implemented by USDA: Natural Resource Conservation Service (2014) and its partners through the Working Lands For Wildlife (WLFW) program. During 2012–2014, we studied the nesting ecology of Golden-winged Warblers in managed habitats of the eastern US that conformed to WLFW conservation practices. We evaluated five NRCS “management scenarios” with respect to nesting success and attainment of recommended nest site vegetation conditions outlined in the Golden-winged Warbler breeding habitat guidelines. Using estimates of territory density, pairing rate, nest survival, and clutch size, we also estimated fledgling productivity (number of fledglings/ha) for each management scenario. In general, Golden-winged Warbler nest survival declined as each breeding season advanced, but nest survival was similar across management scenarios. Within each management scenario, vegetation variables had little influence on nest survival. Still, percent Rubus cover and density of >2 m tall shrubs were relevant in some management scenarios. All five management scenarios rarely attained recommended levels of nest site vegetation conditions for Golden-winged, yet nest survival was high. Fledgling productivity estimates for each management scenario ranged from 2.1 to 8.6 fledglings/10 hectares. Our results indicate that targeted habitat management for Golden-winged Warblers using a variety of management techniques on private lands has the capability to yield high nest survival and fledgling productivity, and thus have the potential to contribute to the species recovery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2016.12.006","usgsCitation":"McNeil, D.J., Aldinger, K.R., Bakermans, M.H., Lehman, J.A., Tisdale, A.C., Jones, J.A., Wood, P.B., Buehler, D.A., Smalling, C.G., Siefferman, L., and Larkin, J.L., 2017, An evaluation and comparison of conservation guidelines for an at-risk migratory songbird: Global Ecology and Conservation, v. 9, p. 90-103, https://doi.org/10.1016/j.gecco.2016.12.006.","productDescription":"14 p.","startPage":"90","endPage":"103","ipdsId":"IP-082152","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2016.12.006","text":"Publisher Index Page"},{"id":348726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.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 -85.58349609375,\n 34.994003757575776\n ],\n [\n -74.59716796875,\n 34.994003757575776\n ],\n [\n -74.59716796875,\n 41.75492216766298\n ],\n [\n -85.58349609375,\n 41.75492216766298\n ],\n [\n -85.58349609375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf0","contributors":{"authors":[{"text":"McNeil, Darin J. Jr.","contributorId":37620,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":721863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":721864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":721865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Anna C.","contributorId":200309,"corporation":false,"usgs":false,"family":"Tisdale","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, John A.","contributorId":200310,"corporation":false,"usgs":false,"family":"Jones","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":721870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siefferman, Lynn","contributorId":200311,"corporation":false,"usgs":false,"family":"Siefferman","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":721871,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":721872,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70192116,"text":"70192116 - 2017 - Reservoir fish habitat management","interactions":[],"lastModifiedDate":"2018-01-26T16:27:13","indexId":"70192116","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Reservoir fish habitat management","docAbstract":"No abstract available.
","language":"English","publisher":"Lightning Press","usgsCitation":"Miranda, L.E., 2017, Reservoir fish habitat management.","ipdsId":"IP-078842","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb06","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":714290,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192642,"text":"70192642 - 2017 - Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","interactions":[],"lastModifiedDate":"2017-11-07T14:44:39","indexId":"70192642","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5542,"text":"Advances in Statistical Climatology, Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","docAbstract":"Scientific records of temperature and precipitation have been kept for several hundred years, but for many areas, only a shorter record exists. To understand climate change, there is a need for rigorous statistical reconstructions of the paleoclimate using proxy data. Paleoclimate proxy data are often sparse, noisy, indirect measurements of the climate process of interest, making each proxy uniquely challenging to model statistically. We reconstruct spatially explicit temperature surfaces from sparse and noisy measurements recorded at historical United States military forts and other observer stations from 1820 to 1894. One common method for reconstructing the paleoclimate from proxy data is principal component regression (PCR). With PCR, one learns a statistical relationship between the paleoclimate proxy data and a set of climate observations that are used as patterns for potential reconstruction scenarios. We explore PCR in a Bayesian hierarchical framework, extending classical PCR in a variety of ways. First, we model the latent principal components probabilistically, accounting for measurement error in the observational data. Next, we extend our method to better accommodate outliers that occur in the proxy data. Finally, we explore alternatives to the truncation of lower-order principal components using different regularization techniques. One fundamental challenge in paleoclimate reconstruction efforts is the lack of out-of-sample data for predictive validation. Cross-validation is of potential value, but is computationally expensive and potentially sensitive to outliers in sparse data scenarios. To overcome the limitations that a lack of out-of-sample records presents, we test our methods using a simulation study, applying proper scoring rules including a computationally efficient approximation to leave-one-out cross-validation using the log score to validate model performance. The result of our analysis is a spatially explicit reconstruction of spatio-temporal temperature from a very sparse historical record.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/ascmo-3-1-2017","usgsCitation":"Tipton, J., Hooten, M., and Goring, S., 2017, Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression: Advances in Statistical Climatology, Meteorology and Oceanography, v. 3, p. 1-16, https://doi.org/10.5194/ascmo-3-1-2017.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-076974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/ascmo-3-1-2017","text":"Publisher Index Page"},{"id":348403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc0f","contributors":{"authors":[{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":716635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":716634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":716636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192424,"text":"70192424 - 2017 - Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","interactions":[],"lastModifiedDate":"2018-03-29T14:31:14","indexId":"70192424","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","docAbstract":"In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl tert-butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations <0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.06207275390625,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 42.70464124398721\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192891,"text":"70192891 - 2017 - What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","interactions":[],"lastModifiedDate":"2018-01-26T11:52:21","indexId":"70192891","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-126-2017","title":"What can volunteer angler tagging data tell us about the status of the Giant Trevally (ulua aukea) Caranx ignobilis fishery in Hawaii: revisiting data collected during Hawaii’s Ulua and Papio Tagging Project 2000-2016","docAbstract":"Giant Trevally (ulua aukea) Caranx ignobilis is one of the most highly prized and frequently
targeted nearshore species. However, there is very little information on its current status in
Hawaiian waters. This study uses mark-recapture data collected as part of recreational angler
tagging program conducted by the Hawaii Department of Land and Natural Resources-Division
of Aquatic Resources during 2000-2012. Mark-recapture data were used to estimate von
Bertalanffy growth curve parameters and survivorship. Growth curves generated from the markrecapture
data suggested that Giant Trevally from the main Hawaiian Islands may be growing
faster and reach a smaller maximum size than individuals in the Northwest Hawaiian Islands, but
there are a number of issues rendering this conclusion uncertain. The survivorship of Giant
Trevally was positively associated with age, in part due to ontogenetic habitat shifts that result in
older fish moving to offshore habitats where they are less vulnerable to anglers. When compared
to stock assessments performed using commercial landings data and fisheries-independent visual
surveys, the mark-recapture data produced similar estimates for the average length of exploited
fish, a metric highly negatively correlated to fishing mortality. These results emphasize the need
for additional information on the biology of Giant Trevally in Hawaiian waters and suggest that
the data collected from this recreational angler tagging program may be useful to generate
reliable estimates of mortality for stock assessment purposes.
Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, in Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193645,"text":"70193645 - 2017 - Model-based estimators of density and connectivity to inform conservation of spatially structured populations","interactions":[],"lastModifiedDate":"2017-11-13T14:46:24","indexId":"70193645","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Model-based estimators of density and connectivity to inform conservation of spatially structured populations","docAbstract":"Conservation and management of spatially structured populations is challenging because solutions must consider where individuals are located, but also differential individual space use as a result of landscape heterogeneity. A recent extension of spatial capture–recapture (SCR) models, the ecological distance model, uses spatial encounter histories of individuals (e.g., a record of where individuals are detected across space, often sequenced over multiple sampling occasions), to estimate the relationship between space use and characteristics of a landscape, allowing simultaneous estimation of both local densities of individuals across space and connectivity at the scale of individual movement. We developed two model-based estimators derived from the SCR ecological distance model to quantify connectivity over a continuous surface: (1) potential connectivity—a metric of the connectivity of areas based on resistance to individual movement; and (2) density-weighted connectivity (DWC)—potential connectivity weighted by estimated density. Estimates of potential connectivity and DWC can provide spatial representations of areas that are most important for the conservation of threatened species, or management of abundant populations (i.e., areas with high density and landscape connectivity), and thus generate predictions that have great potential to inform conservation and management actions. We used a simulation study with a stationary trap design across a range of landscape resistance scenarios to evaluate how well our model estimates resistance, potential connectivity, and DWC. Correlation between true and estimated potential connectivity was high, and there was positive correlation and high spatial accuracy between estimated DWC and true DWC. We applied our approach to data collected from a population of black bears in New York, and found that forested areas represented low levels of resistance for black bears. We demonstrate that formal inference about measures of landscape connectivity can be achieved from standard methods of studying animal populations which yield individual encounter history data such as camera trapping. Resulting biological parameters including resistance, potential connectivity, and DWC estimate the spatial distribution and connectivity of the population within a statistical framework, and we outline applications to many possible conservation and management problems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1623","usgsCitation":"Morin, D.J., Fuller, A.K., Royle, J., and Sutherland, C., 2017, Model-based estimators of density and connectivity to inform conservation of spatially structured populations: Ecosphere, v. 8, no. 1, p. 1-16, https://doi.org/10.1002/ecs2.1623.","productDescription":"e01623; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-075226","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1623","text":"Publisher Index Page"},{"id":348721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-19","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bee","contributors":{"authors":[{"text":"Morin, Dana J.","contributorId":200306,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139623,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":721856,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191191,"text":"70191191 - 2017 - Investigating impacts of oil and gas development on greater sage-grouse","interactions":[],"lastModifiedDate":"2017-10-02T13:54:33","indexId":"70191191","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Investigating impacts of oil and gas development on greater sage-grouse","docAbstract":"The sagebrush (Artemisia spp.) ecosystem is one of the largest ecosystems in western North America providing habitat for species found nowhere else. Sagebrush habitats have experienced dramatic declines since the 1950s, mostly due to anthropogenic disturbances. The greater sage-grouse (Centrocercus urophasianus) is a sagebrush-obligate species that has experienced population declines over the last several decades, which are attributed to a variety of disturbances including the more recent threat of oil and gas development. We developed a hierarchical, Bayesian state-space model to investigate the impacts of 2 measures of oil and gas development, and environmental and habitat conditions, on sage-grouse populations in Wyoming, USA using male lek counts from 1984 to 2008. Lek attendance of male sage-grouse declined by approximately 2.5%/year and was negatively related to oil and gas well density. We found little support for the influence of sagebrush cover and precipitation on changes in lek counts. Our results support those of other studies reporting negative impacts of oil and gas development on sage-grouse populations and our modeling approach allowed us to make inference to a longer time scale and larger spatial extent than in previous studies. In addition to sage-grouse, development may also negatively affect other sagebrush-obligate species, and active management of sagebrush habitats may be necessary to maintain some species.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21179","usgsCitation":"Green, A., Aldridge, C.L., and O’Donnell, M.S., 2017, Investigating impacts of oil and gas development on greater sage-grouse: Journal of Wildlife Management, v. 81, no. 1, p. 46-57, https://doi.org/10.1002/jwmg.21179.","productDescription":"12 p.","startPage":"46","endPage":"57","ipdsId":"IP-071286","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"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":"81","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-18","publicationStatus":"PW","scienceBaseUri":"59d35027e4b05fe04cc34d56","contributors":{"authors":[{"text":"Green, Adam agreen@usgs.gov","contributorId":196774,"corporation":false,"usgs":true,"family":"Green","given":"Adam","email":"agreen@usgs.gov","affiliations":[],"preferred":true,"id":711532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":711533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":711534,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191428,"text":"70191428 - 2017 - Disentangling the complexities of how legumes and their symbionts regulate plant nitrogen access and storage","interactions":[],"lastModifiedDate":"2017-10-11T14:19:05","indexId":"70191428","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the complexities of how legumes and their symbionts regulate plant nitrogen access and storage","docAbstract":"The North American beaver (Castor canadensis) is a managed species in the United States. In northern Wisconsin, as part of the state-wide beaver management program, the Chequamegon-Nicolet National Forest removes beavers from targeted trout streams on U.S. Forest Service lands. However, the success of this management program has not been evaluated. Targeted removals comprise only 3% of the annual beaver harvest, a level of effort that may not affect the beaver population. We used colony location data along Forest streams from 1987–2013 (Nicolet, northeast Wisconsin) and 1997–2013 (Chequamegon, northwest Wisconsin) to assess trends in beaver colony density on targeted trout streams compared to non-targeted streams. On the Chequamegon, colony density on non-targeted trout and non-trout streams did not change over time, while colony density on targeted trout streams declined and then stabilized. On the Nicolet, beaver colony density decreased on both non-targeted streams and targeted trout streams. However, colony density on targeted trout streams declined faster. The impact of targeted trapping was similar across the two sides of the Forest (60% reduction relative to non-targeted trout streams). Exploratory analyses of weather influences found that very dry conditions and severe winters were associated with transient reductions in beaver colony density on non-targeted streams on both sides of the Forest. Our findings may help land management agencies weigh more finely calibrated beaver control measures against continued large-scale removal programs.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0170099","usgsCitation":"Ribic, C., Donner, D.M., Beck, A.J., Rugg, D.J., Reinecke, S., and Eklund, D., 2017, Beaver colony density trends on the Chequamegon-Nicolet National Forest, 1987 – 2013: PLoS ONE, v. 12, no. 1, p. 1-15, https://doi.org/10.1371/journal.pone.0170099.","productDescription":"e0170099; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-066625","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0170099","text":"Publisher Index Page"},{"id":348705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23beb","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":719849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Albert J.","contributorId":200078,"corporation":false,"usgs":false,"family":"Beck","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rugg, David J.","contributorId":171931,"corporation":false,"usgs":false,"family":"Rugg","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinecke, Sue","contributorId":200301,"corporation":false,"usgs":false,"family":"Reinecke","given":"Sue","email":"","affiliations":[],"preferred":false,"id":721836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eklund, Dan","contributorId":200080,"corporation":false,"usgs":false,"family":"Eklund","given":"Dan","email":"","affiliations":[],"preferred":false,"id":721837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70194036,"text":"70194036 - 2017 - Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona","interactions":[],"lastModifiedDate":"2017-12-11T15:08:44","indexId":"70194036","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona","docAbstract":"The Eastern California Shear Zone (ECSZ) is a wide zone of late Cenozoic strike-slip faults and related diffuse deformation that currently accommodates ~20–25% of relative Pacific–North America plate motion in the lower Colorado River region (Fig. 1A; Dokka and Travis, 1990; Miller et al., 2001; Guest et al., 2007; Mahan et al., 2009). The ECSZ is kinematically linked southward to dextral faults in the northern Gulf of California (Bennett et al., 2016a), and it may have initiated ca. 8 Ma when major strike-slip faults developed in the northern Gulf and Salton Trough region (Bennett et al., 2016b; Darin et al., 2016; Woodburne, 2017). Thus deformation related to the ECSZ occurred in the lower Colorado River region during deposition of the Bouse Formation, which is commonly bracketed between 6.0 and 4.8 Ma (House et al., 2008; Sarna-Wojcicki et al., 2011; Spencer et al., 2013) and may be as old as 6–7 Ma in the south (McDougall and Miranda Martínez, 2014, 2016). Post-4.5 Ma broad sagging is recognized along the lower Colorado River (Howard et al., 2015), but the possibility that faults of the ECSZ influenced local to regional subsidence patterns during deposition of the Bouse Formation has received little attention to date (e.g., Homan, 2014; O’Connell et al., 2016).
The Bouse Formation is a widespread sequence of late Miocene to early Pliocene deposits exposed discontinuously along the lower Colorado River corridor (Fig. 1A). In the southern Blythe basin it consists of three regionally correlative members: (1) Basal Carbonate, consisting of supratidal and intertidal mud-flat marls, intertidal and shallow subtidal bioclastic grainstone and conglomerate, and subtidal marl; (2) Siliciclastic member, consisting of Colorado River-derived green claystone, red mudstone and siltstone, and cross-bedded river channel sandstone; and (3) Upper Bioclastic member fossiliferous sandy calcarenite, coarse pebbly grainstone, and calcareous-matrix conglomerate (Homan, 2014; Dorsey et al., 2016; O’Connell et al., 2016, 2017). The southern Bouse Formation has been interpreted as recording deposition in either a lake (Spencer and Patchett, 1997; Spencer et al., 2008, 2013; Bright et al., 2016) or shallow marine setting (Buising, 1990; McDougall, 2008; McDougall and Miranda Martínez, 2014; O’Connell et al., 2017).
In this paper we summarize key results from five field seasons of detailed stratigraphic analysis south of Cibola, Ariz. ( . 1). The data reveal systematic stratal thinning and thickening, pinch-outs, and wedging patterns in the Bouse Formation that we conclude were produced by syn-depositional tilting in response to growth of normal faults near the eastern margin of the basin. Similar stratal patterns in other nearby areas suggest widespread structural controls on deposition of the Bouse Formation. A palinspastic reconstruction of the lower Colorado River region at 5 Ma, modified from Bennett et al. (2016), provides insight to regional fault geometries in the ECSZ that may have controlled syn-depositional tilting and subsidence in Bouse depocenters shortly prior to and during initiation of the Colorado River.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"California State University Desert Studies Center","usgsCitation":"Dorsey, R.J., O’Connell, B., Homan, M.B., and Bennett, S.E., 2017, Influence of the Eastern California Shear Zone on deposition of the Mio-Pliocene Bouse Formation: Insights from the Cibola area, Arizona, in 2017 Desert Symposium Field Guide and Proceedings - ECSZ does it: Revisiting the eastern California Shear Zone, p. 150-157.","productDescription":"8 p.","startPage":"150","endPage":"157","ipdsId":"IP-084485","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349922,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.desertsymposium.org"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23be7","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":721953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Brennan","contributorId":200336,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","email":"","affiliations":[],"preferred":false,"id":721954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Homan, Mindy B.","contributorId":200337,"corporation":false,"usgs":false,"family":"Homan","given":"Mindy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":721955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":721952,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193964,"text":"70193964 - 2017 - Ecosystem extent and fragmentation","interactions":[],"lastModifiedDate":"2017-12-01T10:08:01","indexId":"70193964","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecosystem extent and fragmentation","docAbstract":"One of the candidate essential biodiversity variable (EBV) groups described in the seminal paper by Pereira et al. (2014) concerns Ecosystem Structure. This EBV group is distinguished from another EBV group which encompasses aspects of Ecosystem Function. While the Ecosystem Function EBV treats ecosystem processes like nutrient cycling, primary production, trophic interactions, etc., the Ecosystem Structure EBV relates to the set of biophysical properties of ecosystems that create biophysical environmental context, confer biophysical structure, and occur geographically. The Ecosystem Extent and Fragmentation EBV is one of the EBVs in the Ecosystem Structure EBV group.
Ecosystems are understood to exist at multiple scales, from very large areas (macro-ecosystems) like the Arctic tundra, for example, to something as small as a tree in an Amazonian rain forest. As such, ecosystems occupy space and therefore can be mapped across any geography of interest, whether that area of interest be a site, a nation, a region, a continent, or the planet. One of the most obvious and seemingly straightforward EBVs is Ecosystem Extent and Fragmentation. Ecosystem extent refers to the location and geographic distribution of ecosystems across landscapes or in the oceans, while ecosystem fragmentation refers to the spatial pattern and connectivity of ecosystem occurrences on the landscape.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A sourcebook of methods and procedures for monitoring essential biodiversity variables in tropical forests with remote sensing","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Global Observation of Forest Cover and Land Dynamics","usgsCitation":"Sayre, R., and Hansen, M., 2017, Ecosystem extent and fragmentation, 7 p.","productDescription":"7 p.","startPage":"60","endPage":"66","ipdsId":"IP-082059","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":349612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gofcgold.wur.nl/sites/gofcgold-geobon_biodiversitysourcebook.php"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23be9","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105 rsayre@usgs.gov","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":191629,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":721739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Matt","contributorId":61330,"corporation":false,"usgs":true,"family":"Hansen","given":"Matt","email":"","affiliations":[],"preferred":false,"id":721740,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192051,"text":"70192051 - 2017 - Determination of habitat requirements for Apache Trout","interactions":[],"lastModifiedDate":"2017-10-19T13:27:54","indexId":"70192051","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Determination of habitat requirements for Apache Trout","docAbstract":"The Apache Trout Oncorhynchus apache, a salmonid endemic to east-central Arizona, is currently listed as threatened under the U.S. Endangered Species Act. Establishing and maintaining recovery streams for Apache Trout and other endemic species requires determination of their specific habitat requirements. We built upon previous studies of Apache Trout habitat by defining both stream-specific and generalized optimal and suitable ranges of habitat criteria in three streams located in the White Mountains of Arizona. Habitat criteria were measured at the time thought to be most limiting to juvenile and adult life stages, the summer base flow period. Based on the combined results from three streams, we found that Apache Trout use relatively deep (optimal range = 0.15–0.32 m; suitable range = 0.032–0.470 m) pools with slow stream velocities (suitable range = 0.00–0.22 m/s), gravel or smaller substrate (suitable range = 0.13–2.0 [Wentworth scale]), overhead cover (suitable range = 26–88%), and instream cover (large woody debris and undercut banks were occupied at higher rates than other instream cover types). Fish were captured at cool to moderate temperatures (suitable range = 10.4–21.1°C) in streams with relatively low maximum seasonal temperatures (optimal range = 20.1–22.9°C; suitable range = 17.1–25.9°C). Multiple logistic regression generally confirmed the importance of these variables for predicting the presence of Apache Trout. All measured variables except mean velocity were significant predictors in our model. Understanding habitat needs is necessary in managing for persistence, recolonization, and recruitment of Apache Trout. Management strategies such as fencing areas to restrict ungulate use and grazing and planting native riparian vegetation might favor Apache Trout persistence and recolonization by providing overhead cover and large woody debris to form pools and instream cover, shading streams and lowering temperatures.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1225597","usgsCitation":"Petre, S.J., and Bonar, S.A., 2017, Determination of habitat requirements for Apache Trout: Transactions of the American Fisheries Society, v. 146, no. 1, p. 1-15, https://doi.org/10.1080/00028487.2016.1225597.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-080481","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","volume":"146","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cb7","contributors":{"authors":[{"text":"Petre, Sally J.","contributorId":197664,"corporation":false,"usgs":false,"family":"Petre","given":"Sally","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}