{"pageNumber":"550","pageRowStart":"13725","pageSize":"25","recordCount":184617,"records":[{"id":70216472,"text":"70216472 - 2021 - Stress gradients interact with disturbance to reveal alternative states in salt marsh: Multivariate resilience at the landscape scale","interactions":[],"lastModifiedDate":"2021-10-04T16:46:47.880285","indexId":"70216472","displayToPublicDate":"2020-11-09T07:45:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stress gradients interact with disturbance to reveal alternative states in salt marsh: Multivariate resilience at the landscape scale","docAbstract":"
  1. Stress gradients influence many ecosystem processes and properties, including ecosystem recovery from and resistance to disturbance. While recent analytical approaches have advanced multivariate metrics of ecosystem resilience that allow quantification of conceptual resilience models and identification of thresholds of state change, these approaches are not often translated to landscape scales.
  2. Using natural and restored salt marshes in Louisiana, USA, we quantified plant community recovery and resistance metrics along flooding stress gradients. n‐dimensional hypervolumes of plant community biomass and structure were simulated using field data collected from disturbance‐recovery experiments. The relationships between multivariate resilience metrics and flooding stress gradients were then mapped at community‐ and landscape‐relevant scales by scaling with airborne‐derived data across the region.
  3. Greater pre‐disturbance abiotic stress decreased live belowground, but not aboveground, biomass, and ultimately led to lower post‐disturbance total recovery, recovery rates, and resistance of plant communities. Vegetated plots flooded >52% of the time transitioned to an alternative, unvegetated state after disturbance. Mapping revealed differences in spatial patterns of resilience‐ highlighting low, interior marsh edges as especially vulnerable to the combination of chronic flooding stress and acute disturbance. At the landscape scale, approximately half of the area (48%) is vulnerable to state change after pulse disturbances.


Synthesis. Ultimately, we quantify the ball‐and‐cup conceptual model for a salt marsh ecosystem and its alternative state, mudflat. We find that increasing abiotic stress due to climate change diminishes ecosystem resilience, but the interaction with common episodic disturbances is necessary to reveal transitions to alternative states and quantify state change thresholds. Quantifying and mapping resilience and where alternative states may exist in this fashion improves ecologists’ ability to investigate the mechanisms of stress gradient control on emergent ecosystem properties, while providing spatially explicit resources for managing ecosystems according to their projected resilience.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13552","usgsCitation":"Jones, S., Stagg, C., Yando, E.S., James, W.R., Buffington, K., and Hester, M.W., 2021, Stress gradients interact with disturbance to reveal alternative states in salt marsh: Multivariate resilience at the landscape scale: Journal of Ecology, v. 109, no. 9, p. 3211-3223, https://doi.org/10.1111/1365-2745.13552.","productDescription":"13 p.","startPage":"3211","endPage":"3223","ipdsId":"IP-121938","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":436646,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FNH7F6","text":"USGS data release","linkHelpText":"Field and simulated data to construct hypervolumes of coastal wetland plant states for resilience quantification, Louisiana, USA (2016-2017)"},{"id":380642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.865067,29.752714],[-88.940346,29.657234],[-88.944435,29.658806],[-88.941605,29.674833],[-88.911751,29.699348],[-88.873611,29.758043],[-88.867973,29.79133],[-88.84301,29.82596],[-88.836296,29.855221],[-88.843277,29.86381],[-88.8312,29.878839],[-88.828247,29.920717],[-88.837379,29.944878],[-88.835495,29.974138],[-88.840866,29.995613],[-88.857368,30.027826],[-88.881454,30.053202],[-88.855583,30.034414],[-88.841225,30.012789],[-88.824158,29.970461],[-88.817017,29.93425],[-88.818146,29.889109],[-88.826538,29.847092],[-88.865067,29.752714]]],[[[-89.486709,29.621003],[-89.535202,29.648567],[-89.621109,29.657101],[-89.632698,29.671724],[-89.64975,29.672941],[-89.641228,29.635773],[-89.647324,29.625414],[-89.684486,29.624804],[-89.688141,29.615055],[-89.684486,29.602867],[-89.668648,29.580322],[-89.684486,29.563263],[-89.681092,29.534487],[-89.699698,29.523423],[-89.700501,29.515967],[-89.665813,29.49002],[-89.63533,29.489294],[-89.617558,29.468298],[-89.596533,29.456303],[-89.589536,29.437662],[-89.577096,29.433692],[-89.548686,29.465723],[-89.528429,29.454702],[-89.531943,29.425679],[-89.508551,29.386168],[-89.487308,29.393346],[-89.47714,29.411241],[-89.457303,29.393148],[-89.380001,29.391785],[-89.355528,29.381569],[-89.340304,29.381412],[-89.336589,29.378228],[-89.347615,29.365],[-89.350694,29.349544],[-89.32317,29.343982],[-89.303766,29.357455],[-89.283028,29.356467],[-89.2653,29.345352],[-89.24087,29.310081],[-89.224192,29.313792],[-89.200389,29.344418],[-89.189354,29.345061],[-89.179547,29.339608],[-89.165015,29.303039],[-89.140275,29.291085],[-89.129688,29.265632],[-89.100106,29.25022],[-89.095544,29.238028],[-89.105833,29.231608],[-89.106244,29.215912],[-89.10065,29.206314],[-89.090724,29.199992],[-89.068265,29.204166],[-89.067371,29.208636],[-89.029103,29.220956],[-89.015192,29.211561],[-89.000674,29.180091],[-89.00529,29.164949],[-89.013254,29.16328],[-89.024269,29.170043],[-89.047233,29.157833],[-89.03873,29.14238],[-89.032004,29.144747],[-89.023942,29.1337],[-89.051953,29.106554],[-89.062335,29.070234],[-89.09126,29.066931],[-89.105009,29.073641],[-89.121542,29.069074],[-89.143453,29.047591],[-89.162326,29.011713],[-89.16985,29.008703],[-89.186061,29.017993],[-89.18215,29.025486],[-89.189893,29.032635],[-89.197871,29.029701],[-89.211144,29.040813],[-89.217201,29.067275],[-89.225865,29.07866],[-89.23631,29.084605],[-89.254726,29.083261],[-89.25364,29.064954],[-89.259354,29.058358],[-89.29109,29.053097],[-89.315389,29.039081],[-89.32485,29.013805],[-89.338249,29.012935],[-89.383814,28.947434],[-89.41148,28.925011],[-89.419865,28.929709],[-89.408157,28.965341],[-89.398104,28.977016],[-89.375049,28.985368],[-89.334735,29.040335],[-89.354798,29.072543],[-89.374522,29.084174],[-89.405654,29.086936],[-89.411154,29.105838],[-89.409371,29.127855],[-89.432932,29.149023],[-89.455829,29.190991],[-89.482844,29.215053],[-89.5366,29.236212],[-89.606651,29.252023],[-89.671781,29.289028],[-89.697258,29.296679],[-89.782149,29.311132],[-89.850305,29.311768],[-89.853699,29.34064],[-89.820824,29.377486],[-89.816155,29.393518],[-89.826049,29.415589],[-89.843553,29.421677],[-89.845075,29.434615],[-89.832898,29.463536],[-89.849642,29.477996],[-89.902179,29.460011],[-89.932598,29.429288],[-89.95543,29.428527],[-89.991961,29.463536],[-90.01251,29.462775],[-90.032298,29.427005],[-90.029468,29.388136],[-90.036374,29.363661],[-90.031815,29.344251],[-90.034275,29.322661],[-90.028536,29.307083],[-90.013778,29.30271],[-90.009678,29.294785],[-90.019517,29.282213],[-90.057094,29.281331],[-90.060511,29.267729],[-90.070622,29.262537],[-90.101231,29.259804],[-90.096038,29.240673],[-90.073355,29.227282],[-90.073355,29.210611],[-90.04291,29.211765],[-90.005718,29.240627],[-89.969981,29.255753],[-89.959509,29.267677],[-89.951175,29.266124],[-89.950756,29.260801],[-90.022029,29.216065],[-90.104162,29.150407],[-90.174273,29.105301],[-90.223587,29.085075],[-90.245283,29.085824],[-90.348768,29.057817],[-90.349891,29.063681],[-90.325514,29.075138],[-90.29293,29.078761],[-90.253141,29.093772],[-90.250044,29.108067],[-90.234235,29.110268],[-90.234405,29.128824],[-90.248629,29.13837],[-90.280516,29.142521],[-90.27832,29.150691],[-90.302846,29.175098],[-90.300885,29.196171],[-90.293183,29.199789],[-90.275851,29.193668],[-90.271251,29.204639],[-90.286621,29.225694],[-90.311663,29.237954],[-90.311523,29.256374],[-90.332796,29.276956],[-90.367166,29.274128],[-90.372565,29.258923],[-90.387924,29.252786],[-90.383857,29.235606],[-90.399465,29.201046],[-90.432912,29.188132],[-90.443954,29.19583],[-90.472489,29.192688],[-90.467233,29.202549],[-90.494928,29.216713],[-90.46832,29.227532],[-90.462866,29.249809],[-90.450674,29.263739],[-90.510555,29.290925],[-90.526216,29.276492],[-90.552005,29.278512],[-90.565436,29.285111],[-90.582525,29.276037],[-90.589724,29.248521],[-90.583924,29.242886],[-90.565378,29.242475],[-90.544547,29.230683],[-90.544311,29.224292],[-90.556501,29.219913],[-90.560889,29.204261],[-90.618413,29.20329],[-90.624161,29.210366],[-90.633819,29.209128],[-90.645612,29.175867],[-90.636973,29.164572],[-90.647042,29.12858],[-90.677724,29.118742],[-90.700893,29.12147],[-90.718035,29.116611],[-90.731239,29.122886],[-90.764189,29.113374],[-90.773458,29.100133],[-90.799444,29.087377],[-90.803699,29.063709],[-90.79872,29.054841],[-90.765188,29.049403],[-90.7253,29.066616],[-90.692205,29.059607],[-90.63924,29.072848],[-90.637495,29.066608],[-90.730899,29.042259],[-90.839345,29.039167],[-90.844849,29.048721],[-90.841226,29.054266],[-90.844593,29.06728],[-90.862757,29.094863],[-90.877583,29.104891],[-90.898215,29.131342],[-90.961278,29.180817],[-90.981458,29.171211],[-91.000096,29.169481],[-91.023955,29.174784],[-91.031786,29.182188],[-91.094015,29.187711],[-91.129141,29.215863],[-91.199647,29.221287],[-91.278792,29.247776],[-91.334885,29.298775],[-91.33275,29.305816],[-91.291821,29.311357],[-91.276647,29.329825],[-91.266589,29.361218],[-91.251546,29.368659],[-91.238515,29.371999],[-91.222377,29.360703],[-91.207299,29.360703],[-91.197465,29.369882],[-91.200087,29.38955],[-91.218463,29.407235],[-91.211999,29.420931],[-91.221166,29.436421],[-91.258226,29.446954],[-91.265649,29.472362],[-91.2813,29.481547],[-91.294325,29.476894],[-91.335742,29.485886],[-91.356625,29.515191],[-91.402214,29.511914],[-91.420449,29.515745],[-91.447345,29.544749],[-91.468748,29.544299],[-91.517274,29.52974],[-91.531021,29.531543],[-91.525523,29.551904],[-91.537445,29.565888],[-91.553537,29.632766],[-91.570589,29.638312],[-91.625114,29.626195],[-91.648941,29.633635],[-91.627286,29.662132],[-91.626826,29.684753],[-91.618479,29.710816],[-91.621512,29.735429],[-91.632829,29.742576],[-91.667128,29.745822],[-91.710935,29.738993],[-91.737253,29.74937],[-91.752259,29.748264],[-91.783674,29.740689],[-91.85864,29.703121],[-91.88075,29.710839],[-91.875637,29.722316],[-91.878355,29.751025],[-91.859151,29.783331],[-91.854677,29.807436],[-91.869998,29.828328],[-91.889118,29.836023],[-91.90689,29.83094],[-91.915989,29.815654],[-91.940723,29.817008],[-91.983871,29.794516],[-92.056398,29.772313],[-92.107486,29.744429],[-92.144431,29.716418],[-92.149349,29.697052],[-92.111787,29.62177],[-92.093419,29.618694],[-92.02532,29.625647],[-92.000371,29.613143],[-91.965031,29.608019],[-91.935024,29.612239],[-91.922825,29.633173],[-91.898996,29.63701],[-91.882318,29.62977],[-91.863018,29.633739],[-91.841294,29.62962],[-91.838297,29.616041],[-91.821693,29.606049],[-91.784976,29.595204],[-91.774686,29.576387],[-91.712002,29.56474],[-91.711654,29.55427],[-91.765448,29.520844],[-91.771927,29.504871],[-91.770516,29.488953],[-91.782387,29.482882],[-91.800121,29.486828],[-91.821576,29.473925],[-91.8385,29.478874],[-91.862324,29.502393],[-91.878746,29.502937],[-91.906175,29.518052],[-91.969312,29.536893],[-92.02681,29.566805],[-92.046316,29.584362],[-92.158624,29.581616],[-92.21259,29.562479],[-92.25186,29.539354],[-92.309357,29.533026],[-92.402165,29.551269],[-92.61627,29.578729],[-92.744126,29.617608],[-92.974305,29.71398],[-93.088182,29.749125],[-93.226934,29.777519],[-93.295573,29.775071],[-93.344993,29.759618],[-93.475252,29.769242],[-93.68364,29.747153],[-93.766048,29.7295],[-93.837971,29.690619],[-93.87002,29.735482],[-93.891637,29.744618],[-93.893862,29.767289],[-93.926504,29.78956],[-93.927992,29.80964],[-93.91636,29.824968],[-93.86357,29.857177],[-93.838374,29.882855],[-93.818998,29.914822],[-93.807815,29.954549],[-93.786935,29.99058],[-93.741078,30.021571],[-93.737446,30.037283],[-93.722791,30.051162],[-93.70082,30.056274],[-93.70058,30.063666],[-93.716405,30.069122],[-93.734085,30.08613],[-93.702436,30.112721],[-93.701252,30.137376],[-93.69498,30.135185],[-93.688212,30.141376],[-93.717397,30.193439],[-93.720946,30.209852],[-93.705083,30.242752],[-93.706608,30.281187],[-93.714319,30.294282],[-93.738699,30.303794],[-93.765822,30.333318],[-93.756352,30.356166],[-93.757654,30.390423],[-93.722314,30.420729],[-93.702665,30.429947],[-93.6978,30.440583],[-93.716678,30.494006],[-93.710117,30.5064],[-93.714322,30.518562],[-93.740253,30.539569],[-93.729195,30.544842],[-93.727844,30.57407],[-93.712454,30.588479],[-93.681235,30.596102],[-93.6831,30.640763],[-93.654971,30.670184],[-93.629904,30.67994],[-93.609544,30.723139],[-93.619129,30.742002],[-93.607757,30.757657],[-93.592828,30.763986],[-93.584265,30.796663],[-93.563243,30.806218],[-93.554057,30.824941],[-93.558608,30.868822],[-93.567451,30.878524],[-93.567788,30.888302],[-93.556493,30.901451],[-93.551942,30.918646],[-93.530936,30.924534],[-93.526245,30.939411],[-93.549841,30.967118],[-93.567972,30.977981],[-93.571906,30.987614],[-93.566017,31.004567],[-93.539526,31.008498],[-93.516943,31.023662],[-93.516407,31.02955],[-93.532069,31.055264],[-93.52301,31.065241],[-93.526044,31.070773],[-93.546644,31.082989],[-93.551034,31.091111],[-93.549717,31.10516],[-93.539619,31.121844],[-93.544888,31.148844],[-93.53683,31.15862],[-93.533307,31.184463],[-93.55254,31.185605],[-93.588503,31.165581],[-93.598828,31.174679],[-93.607288,31.205403],[-93.604319,31.220794],[-93.616007,31.23396],[-93.613942,31.259375],[-93.620343,31.271025],[-93.642516,31.269508],[-93.668928,31.297975],[-93.68688,31.305166],[-93.663892,31.361953],[-93.66892,31.3664],[-93.671644,31.393352],[-93.704879,31.410881],[-93.697603,31.428409],[-93.70093,31.437784],[-93.749476,31.46869],[-93.74987,31.478929],[-93.730998,31.492119],[-93.726736,31.5116],[-93.739318,31.51505],[-93.743376,31.525196],[-93.780835,31.525384],[-93.798087,31.534044],[-93.818582,31.554826],[-93.834923,31.58621],[-93.838057,31.606795],[-93.827852,31.616551],[-93.818717,31.614556],[-93.816838,31.622509],[-93.818037,31.647892],[-93.826462,31.666919],[-93.804479,31.685664],[-93.802452,31.693186],[-93.814587,31.707444],[-93.819048,31.728858],[-93.830647,31.745811],[-93.822598,31.773559],[-93.834649,31.783309],[-93.839951,31.798597],[-93.874761,31.821661],[-93.874822,31.840611],[-93.884117,31.847606],[-93.889197,31.867693],[-93.901888,31.880063],[-93.904766,31.890599],[-93.927672,31.891497],[-93.938002,31.906917],[-93.971712,31.920384],[-94.018664,31.990843],[-94.029283,31.995865],[-94.041833,31.992402],[-94.042964,33.019219],[-93.073167,33.017898],[-91.166073,33.004106],[-91.173308,32.986088],[-91.201842,32.961212],[-91.199415,32.952314],[-91.214027,32.93032],[-91.199775,32.908512],[-91.170235,32.899391],[-91.15169,32.901935],[-91.134041,32.917676],[-91.131304,32.926919],[-91.137863,32.952756],[-91.130721,32.962257],[-91.137524,32.96955],[-91.135517,32.979657],[-91.111757,32.988361],[-91.09693,32.986412],[-91.080355,32.962794],[-91.081913,32.944768],[-91.064804,32.926464],[-91.064449,32.901064],[-91.070602,32.888659],[-91.105631,32.858396],[-91.143559,32.844739],[-91.161669,32.812465],[-91.164397,32.785821],[-91.157614,32.776033],[-91.165328,32.751301],[-91.154461,32.742339],[-91.123152,32.742798],[-91.054481,32.722259],[-91.063946,32.702926],[-91.118258,32.674075],[-91.152081,32.641508],[-91.151318,32.615919],[-91.141148,32.597209],[-91.119854,32.584795],[-91.049796,32.607188],[-91.038415,32.636443],[-91.025769,32.646573],[-91.014286,32.640482],[-91.0035,32.624845],[-91.010228,32.601927],[-91.03617,32.579556],[-91.080398,32.556442],[-91.061685,32.536448],[-90.994481,32.506331],[-90.988278,32.49119],[-91.004206,32.48214],[-91.038106,32.49044],[-91.093741,32.549128],[-91.116708,32.500139],[-91.116008,32.48314],[-91.095308,32.458741],[-91.052907,32.438442],[-91.029606,32.433542],[-90.993863,32.45085],[-90.96959,32.43949],[-90.966255,32.421027],[-90.99408,32.403862],[-91.004506,32.368144],[-90.993625,32.354047],[-90.912363,32.339454],[-90.897762,32.35436],[-90.89206,32.370579],[-90.878289,32.374548],[-90.882161,32.357552],[-90.905173,32.315497],[-90.933991,32.290343],[-90.951351,32.283199],[-90.963079,32.296285],[-90.979475,32.293702],[-90.982985,32.270294],[-90.969403,32.25252],[-90.98029,32.243601],[-90.983434,32.221305],[-90.991227,32.214662],[-91.001192,32.215173],[-91.021507,32.236149],[-91.039007,32.242349],[-91.050307,32.237949],[-91.061408,32.21865],[-91.071108,32.22605],[-91.083708,32.22645],[-91.113009,32.20655],[-91.133587,32.213432],[-91.162062,32.199035],[-91.174552,32.154978],[-91.165452,32.13429],[-91.113866,32.125731],[-91.08163,32.133992],[-91.053175,32.124237],[-91.048507,32.150152],[-91.058907,32.171251],[-91.057647,32.177354],[-91.050207,32.178451],[-91.00619,32.156957],[-91.004106,32.146152],[-91.017606,32.125153],[-91.030799,32.120566],[-91.034707,32.101053],[-91.080008,32.079154],[-91.082308,32.047555],[-91.103708,32.050255],[-91.139309,32.081754],[-91.16031,32.070354],[-91.16131,32.059755],[-91.15141,32.049255],[-91.088108,32.034455],[-91.075908,32.016828],[-91.104108,31.990357],[-91.16441,31.982557],[-91.18481,31.965557],[-91.19321,31.935658],[-91.18471,31.935058],[-91.18321,31.916159],[-91.20101,31.909159],[-91.234899,31.876863],[-91.267712,31.86266],[-91.266612,31.851161],[-91.245624,31.833165],[-91.255611,31.812662],[-91.269212,31.809162],[-91.284912,31.818362],[-91.293413,31.86016],[-91.333814,31.853261],[-91.345714,31.842861],[-91.365529,31.761628],[-91.355214,31.758063],[-91.325973,31.76151],[-91.286045,31.772062],[-91.263043,31.766995],[-91.259611,31.76129],[-91.263406,31.754468],[-91.275545,31.745515],[-91.338663,31.750005],[-91.365034,31.748184],[-91.371804,31.742948],[-91.397115,31.711364],[-91.395715,31.644165],[-91.401015,31.620365],[-91.421116,31.611565],[-91.436716,31.612665],[-91.474318,31.625365],[-91.497665,31.645371],[-91.515462,31.630372],[-91.517233,31.61346],[-91.488618,31.587466],[-91.466317,31.586066],[-91.422716,31.597065],[-91.403915,31.589766],[-91.405415,31.576466],[-91.414915,31.562166],[-91.443916,31.542466],[-91.479718,31.530366],[-91.511217,31.532612],[-91.52292,31.519841],[-91.515157,31.50338],[-91.518148,31.483483],[-91.513366,31.444396],[-91.500046,31.42052],[-91.472065,31.395925],[-91.471098,31.376917],[-91.47887,31.364955],[-91.504163,31.36495],[-91.521836,31.37517],[-91.532336,31.390275],[-91.539458,31.414021],[-91.537002,31.423184],[-91.545013,31.433026],[-91.565179,31.423447],[-91.576265,31.410498],[-91.578334,31.399067],[-91.568953,31.377629],[-91.55568,31.386413],[-91.546207,31.38248],[-91.548967,31.347255],[-91.507977,31.312943],[-91.508858,31.291644],[-91.515614,31.27821],[-91.564192,31.261633],[-91.637672,31.26768],[-91.654027,31.255753],[-91.652019,31.242691],[-91.644356,31.234414],[-91.601616,31.208573],[-91.588939,31.188959],[-91.591502,31.173118],[-91.624217,31.133729],[-91.626476,31.119125],[-91.61857,31.107328],[-91.56415,31.06683],[-91.559907,31.054119],[-91.564397,31.038965],[-91.578413,31.02403],[-91.636942,30.999416],[-89.728147,31.002431],[-89.73554,30.999715],[-89.728563,30.994396],[-89.736086,30.974446],[-89.727072,30.967395],[-89.735686,30.966573],[-89.756333,30.943498],[-89.744448,30.920577],[-89.750073,30.91293],[-89.7626,30.913736],[-89.758719,30.897319],[-89.773553,30.896862],[-89.770027,30.882254],[-89.779194,30.875185],[-89.768237,30.866392],[-89.771722,30.854677],[-89.783384,30.856022],[-89.780947,30.848542],[-89.790805,30.832131],[-89.781168,30.820123],[-89.785894,30.815962],[-89.800049,30.819078],[-89.804065,30.803247],[-89.811171,30.798921],[-89.806763,30.789069],[-89.816418,30.796054],[-89.821078,30.792523],[-89.831537,30.76761],[-89.826053,30.742322],[-89.816075,30.739366],[-89.83687,30.734661],[-89.836945,30.728201],[-89.828061,30.725018],[-89.83006,30.71631],[-89.845801,30.707314],[-89.835848,30.699555],[-89.835478,30.691166],[-89.847201,30.670038],[-89.837894,30.672514],[-89.841787,30.665557],[-89.852263,30.662934],[-89.836047,30.657298],[-89.821868,30.644024],[-89.818081,30.634019],[-89.823278,30.60823],[-89.814563,30.606152],[-89.818527,30.592688],[-89.807118,30.587337],[-89.808184,30.568795],[-89.790318,30.567524],[-89.803887,30.560581],[-89.794532,30.556554],[-89.791046,30.545046],[-89.780246,30.544607],[-89.775355,30.538848],[-89.768133,30.51502],[-89.76057,30.515761],[-89.758575,30.505942],[-89.726154,30.49256],[-89.715886,30.477797],[-89.68341,30.451793],[-89.678514,30.414012],[-89.683686,30.405873],[-89.657191,30.356515],[-89.629727,30.339287],[-89.626606,30.315457],[-89.639872,30.307281],[-89.64344,30.287682],[-89.631411,30.279662],[-89.631789,30.256924],[-89.614156,30.244595],[-89.615856,30.223195],[-89.596655,30.211796],[-89.574454,30.181697],[-89.562253,30.182397],[-89.541453,30.195397],[-89.533352,30.194797],[-89.524504,30.180753],[-89.537493,30.171745],[-89.562825,30.168667],[-89.587062,30.150648],[-89.617542,30.156422],[-89.640989,30.138612],[-89.656986,30.118381],[-89.678156,30.10829],[-89.683712,30.076018],[-89.72957,30.059628],[-89.731452,30.05104],[-89.7163,30.02811],[-89.724649,30.022454],[-89.733323,30.022054],[-89.763216,30.042108],[-89.818561,30.043328],[-89.857558,30.004439],[-89.844202,29.955645],[-89.829023,29.939228],[-89.804463,29.932588],[-89.748492,29.945831],[-89.727933,29.95878],[-89.71291,29.946349],[-89.742727,29.935894],[-89.746273,29.928221],[-89.742479,29.90817],[-89.711158,29.879287],[-89.692004,29.868722],[-89.660568,29.862909],[-89.613159,29.87216],[-89.598129,29.881409],[-89.591194,29.897018],[-89.592346,29.917253],[-89.574997,29.959455],[-89.574425,29.983738],[-89.58136,29.994722],[-89.501587,30.034037],[-89.494064,30.040972],[-89.499275,30.058893],[-89.493484,30.072191],[-89.481926,30.079128],[-89.458946,30.06345],[-89.418465,30.049747],[-89.372375,30.054729],[-89.368637,30.047256],[-89.372375,30.036671],[-89.422813,30.015495],[-89.432785,30.008022],[-89.433411,29.991205],[-89.432785,29.978752],[-89.40538,29.965672],[-89.379227,29.963804],[-89.378601,29.919588],[-89.368019,29.911491],[-89.331894,29.91585],[-89.315453,29.923208],[-89.273315,29.99382],[-89.250534,30.002361],[-89.243706,29.997236],[-89.249969,29.975597],[-89.218071,29.97275],[-89.231178,29.925484],[-89.244843,29.93004],[-89.280144,29.924915],[-89.318306,29.898149],[-89.322289,29.887333],[-89.289253,29.880499],[-89.241425,29.88961],[-89.236298,29.886763],[-89.236298,29.877081],[-89.269897,29.859997],[-89.383789,29.838928],[-89.383217,29.830385],[-89.372971,29.82526],[-89.345634,29.820135],[-89.342781,29.798496],[-89.33197,29.790524],[-89.318306,29.788815],[-89.277298,29.807608],[-89.277298,29.799635],[-89.284134,29.795649],[-89.284706,29.770021],[-89.269325,29.760912],[-89.271034,29.756355],[-89.305199,29.756926],[-89.337662,29.779135],[-89.354179,29.781412],[-89.367271,29.775148],[-89.386063,29.788815],[-89.394608,29.784828],[-89.399162,29.770592],[-89.428207,29.74155],[-89.42421,29.697638],[-89.44812,29.703316],[-89.530258,29.74375],[-89.560181,29.735472],[-89.572922,29.746616],[-89.634048,29.752981],[-89.651237,29.749479],[-89.644562,29.710957],[-89.618446,29.700768],[-89.592979,29.702042],[-89.599663,29.690262],[-89.596802,29.684212],[-89.573883,29.674025],[-89.53376,29.670204],[-89.487915,29.630405],[-89.486709,29.621003]]]]},\"properties\":{\"name\":\"Louisiana\",\"nation\":\"USA \"}}]}","volume":"109","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Scott 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":215602,"corporation":false,"usgs":true,"family":"Jones","given":"Scott","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":222380,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":805230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yando, Erik S.","contributorId":127788,"corporation":false,"usgs":false,"family":"Yando","given":"Erik","email":"","middleInitial":"S.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":805231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"James, W. Ryan","contributorId":245037,"corporation":false,"usgs":false,"family":"James","given":"W.","email":"","middleInitial":"Ryan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":805232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805233,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hester, Mark W.","contributorId":195572,"corporation":false,"usgs":false,"family":"Hester","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":34316,"text":"University of Louisiana at Lafayette, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":805234,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216485,"text":"70216485 - 2021 - Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast","interactions":[],"lastModifiedDate":"2021-01-19T16:23:52.964451","indexId":"70216485","displayToPublicDate":"2020-11-07T08:25:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast","docAbstract":"

Context

Coastal landscapes evolve in response to sea-level rise (SLR) through a variety of geologic processes and ecological feedbacks. When the SLR rate surpasses the rate at which these processes build elevation and drive lateral migration, inundation is likely.

Objectives

To examine the role of land cover diversity and composition in landscape response to SLR across the northeastern United States.

Methods

Using an existing probabilistic framework, we quantify the probability of inundation, a measure of vulnerability, under different SLR scenarios on the coastal landscape. Resistant areas—wherein a dynamic response is anticipated—are defined as unlikely (p < 0.33) to inundate. Results are assessed regionally for different land cover types and at 26 sites representing varying levels of land cover diversity.

Results

Modeling results suggest that by the 2050s, 44% of low-lying, habitable land in the region is unlikely to inundate, further declining to 36% by the 2080s. In addition to a decrease in SLR resistance with time, these results show an increasing uncertainty that the coastal landscape will continue to evolve in response to SLR as it has in the past. We also find that resistance to SLR is correlated with land cover composition, wherein sites containing land cover types adaptable to SLR impacts show greater potential to undergo biogeomorphic state shifts rather than inundating with time.

Conclusions

Our findings support other studies that have highlighted the importance of ecological composition and diversity in stabilizing the physical landscape and suggest that flexible planning strategies, such as adaptive management, are particularly well suited for SLR preparation in diverse coastal settings.

","language":"English","publisher":"Springer","doi":"10.1007/s10980-020-01136-z","usgsCitation":"Lentz, E.E., Zeigler, S.L., Thieler, E.R., and Plant, N.G., 2021, Probabilistic patterns of inundation and biogeomorphic changes due to sea-level rise along the northeastern U.S. Atlantic coast: Landscape Ecology, v. 36, p. 223-241, https://doi.org/10.1007/s10980-020-01136-z.","productDescription":"9 p.","startPage":"223","endPage":"241","ipdsId":"IP-101344","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454290,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-020-01136-z","text":"Publisher Index Page"},{"id":380684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.169921875,\n 44.10336537791152\n ],\n [\n -70.751953125,\n 44.26093725039923\n ],\n [\n -73.05908203125,\n 42.261049162113856\n ],\n [\n -76.7724609375,\n 39.639537564366684\n ],\n [\n -78.37646484375,\n 37.666429212090605\n ],\n [\n -77.71728515624999,\n 36.58024660149866\n ],\n [\n -75.34423828125,\n 36.43896124085945\n ],\n [\n -75.73974609375,\n 37.3002752813443\n ],\n [\n -74.0478515625,\n 39.977120098439634\n ],\n [\n -71.9384765625,\n 40.81380923056958\n ],\n [\n -69.80712890625,\n 41.178653972331674\n ],\n [\n -69.89501953125,\n 42.049292638686836\n ],\n [\n -70.64208984375,\n 42.8115217450979\n ],\n [\n -69.169921875,\n 44.10336537791152\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","noUsgsAuthors":false,"publicationDate":"2020-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805383,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeigler, Sara L. 0000-0002-5472-769X szeigler@usgs.gov","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":169601,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","email":"szeigler@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805384,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":805386,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218686,"text":"70218686 - 2021 - Uncertainty in critical source area predictions from watershed-scale hydrologic models","interactions":[],"lastModifiedDate":"2021-03-05T13:28:39.226167","indexId":"70218686","displayToPublicDate":"2020-11-07T07:25:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty in critical source area predictions from watershed-scale hydrologic models","docAbstract":"

Watershed-scale hydrologic models are frequently used to inform conservation and restoration efforts by identifying critical source areas (CSAs; alternatively 'hotspots'), defined as areas that export relatively greater quantities of nutrients and sediment. The CSAs can then be prioritized or ‘targeted’ for conservation and restoration to ensure efficient use of limited resources. However, CSA simulations from watershed-scale hydrologic models may be uncertain and it is critical that the extent and implications of this uncertainty be conveyed to stakeholders and decision makers. We used an ensemble of four independently developed Soil and Water Assessment Tool (SWAT) models and a SPAtially Referenced Regression On Watershed attributes (SPARROW) model to simulate CSA locations for flow, phosphorus, nitrogen, and sediment within the ~17,000-km2 Maumee River watershed at the HUC-12 scale. We then assessed uncertainty in CSA simulations determined as the variation in CSA locations across the models. Our application of an ensemble of models - differing with respect to inputs, structure, and parameterization - facilitated an improved accounting of CSA prediction uncertainty. We found that the models agreed on the location of a subset of CSAs, and that these locations may be targeted with relative confidence. However, models more often disagreed on CSA locations. On average, only 16%–46% of HUC-12 subwatersheds simulated as a CSA by one model were also simulated as a CSA by a different model. Our work shows that simulated CSA locations are highly uncertain and may vary substantially across models. Hence, while models may be useful in informing conservation and restoration planning, their application to identify CSA locations would benefit from comprehensive uncertainty analyses to avoid inefficient use of limited resources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2020.111506","usgsCitation":"Evenson, G.R., Kalcic, M.M., Wang, Y., Robertson, D.M., Scavia, D., Martin, J., Aloysius, N., Apostel, A., Boles, C., Brooker, M., Confesor, R., Dagnew, A.T., Guo, T., Kast, J., Kajawa, H., Muenich, R.L., Murumkar, A., and Redder, T., 2021, Uncertainty in critical source area predictions from watershed-scale hydrologic models: Journal of Environmental Management, v. 279, 111506, 8 p., https://doi.org/10.1016/j.jenvman.2020.111506.","productDescription":"111506, 8 p.","ipdsId":"IP-117532","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":384061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Maumee River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.8916015625,\n 41.409775832009565\n ],\n [\n -83.29833984375,\n 41.409775832009565\n ],\n [\n -83.29833984375,\n 41.902277040963696\n ],\n [\n -83.8916015625,\n 41.902277040963696\n ],\n [\n -83.8916015625,\n 41.409775832009565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":811355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalcic, Margaret M","contributorId":254324,"corporation":false,"usgs":false,"family":"Kalcic","given":"Margaret","email":"","middleInitial":"M","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Yu-Chen","contributorId":169563,"corporation":false,"usgs":false,"family":"Wang","given":"Yu-Chen","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":811357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":204668,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":811358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scavia, Donald","contributorId":200340,"corporation":false,"usgs":false,"family":"Scavia","given":"Donald","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":811359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Jay","contributorId":169561,"corporation":false,"usgs":false,"family":"Martin","given":"Jay","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":811360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aloysius, Noel","contributorId":169556,"corporation":false,"usgs":false,"family":"Aloysius","given":"Noel","affiliations":[{"id":16172,"text":"Ohio State University, Columbus, OH","active":true,"usgs":false}],"preferred":false,"id":811361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Apostel, Anna","contributorId":254327,"corporation":false,"usgs":false,"family":"Apostel","given":"Anna","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811362,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boles, Chelsie","contributorId":169558,"corporation":false,"usgs":false,"family":"Boles","given":"Chelsie","email":"","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":811363,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brooker, Michael","contributorId":254328,"corporation":false,"usgs":false,"family":"Brooker","given":"Michael","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811364,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Confesor, Remegio","contributorId":169559,"corporation":false,"usgs":false,"family":"Confesor","given":"Remegio","email":"","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":811365,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dagnew, Awoke T","contributorId":254331,"corporation":false,"usgs":false,"family":"Dagnew","given":"Awoke","email":"","middleInitial":"T","affiliations":[{"id":51086,"text":"Environmental Consulting and Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":811366,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Guo, Tian","contributorId":254332,"corporation":false,"usgs":false,"family":"Guo","given":"Tian","email":"","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":811367,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kast, Jeffrey","contributorId":254335,"corporation":false,"usgs":false,"family":"Kast","given":"Jeffrey","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811368,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kajawa, Hailey","contributorId":254336,"corporation":false,"usgs":false,"family":"Kajawa","given":"Hailey","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811369,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Muenich, Rebecca Logsdon","contributorId":169555,"corporation":false,"usgs":false,"family":"Muenich","given":"Rebecca","email":"","middleInitial":"Logsdon","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":811370,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Murumkar, Asmita","contributorId":254337,"corporation":false,"usgs":false,"family":"Murumkar","given":"Asmita","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":811371,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Redder, Todd","contributorId":169562,"corporation":false,"usgs":false,"family":"Redder","given":"Todd","email":"","affiliations":[{"id":28133,"text":"Limno Tech, Inc., Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":811372,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70217138,"text":"70217138 - 2021 - An approach for decomposing river water-quality trends into different flow classes","interactions":[],"lastModifiedDate":"2021-01-07T13:16:22.442598","indexId":"70217138","displayToPublicDate":"2020-11-07T07:13:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"An approach for decomposing river water-quality trends into different flow classes","docAbstract":"

A number of statistical approaches have been developed to quantify the overall trend in river water quality, but most approaches are not intended for reporting separate trends for different flow conditions. We propose an approach called FN2Q, which is an extension of the flow-normalization (FN) procedure of the well-established WRTDS (“Weighted Regressions on Time, Discharge, and Season”) method. The FN2Q approach provides a daily time series of low-flow and high-flow FN flux estimates that represent the lower and upper half of daily riverflow observations that occurred on each calendar day across the period of record. These daily estimates can be summarized into any time period of interest (e.g., monthly, seasonal, or annual) for quantifying trends. The proposed approach is illustrated with an application to a record of total nitrogen concentration (632 samples) collected between 1985 and 2018 from the South Fork Shenandoah River at Front Royal, Virginia (USA). Results show that the overall FN flux of total nitrogen has declined in the period of 1985–2018, which is mainly attributable to FN flux decline in the low-flow class. Furthermore, the decline in the low-flow class was highly correlated with wastewater effluent loads, indicating that the upgrades of treatment technology at wastewater treatment facilities have likely led to water-quality improvement under low-flow conditions. The high-flow FN flux showed a spike around 2007, which was likely caused by increased delivery of particulate nitrogen associated with sediment transport. The case study demonstrates the utility of the FN2Q approach toward not only characterizing the changes in river water quality but also guiding the direction of additional analysis for capturing the underlying drivers. The FN2Q approach (and the published code) can easily be applied to widely available river monitoring records to quantify water-quality trends under different flow conditions to enhance understanding of river water-quality dynamics.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.143562","usgsCitation":"Zhang, Q., Webber, J.S., Moyer, D.L., and Chanat, J.G., 2021, An approach for decomposing river water-quality trends into different flow classes: Science of the Total Environment, v. 755, no. Part 2, 143562, 11 p., https://doi.org/10.1016/j.scitotenv.2020.143562.","productDescription":"143562, 11 p.","ipdsId":"IP-122767","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":454293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.143562","text":"Publisher Index Page"},{"id":381986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"South Fork Shenandoah River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.376220703125,\n 38.41916639395372\n ],\n [\n -79.595947265625,\n 38.496593518947584\n ],\n [\n -79.73876953125,\n 38.1777509666256\n ],\n [\n -79.7607421875,\n 37.94419750075404\n ],\n [\n -79.639892578125,\n 37.709899354855125\n ],\n [\n -79.1015625,\n 37.75334401310656\n ],\n [\n -78.717041015625,\n 37.76202988573211\n ],\n [\n -78.02490234375,\n 38.685509760012\n ],\n [\n -77.991943359375,\n 39.08743603215884\n ],\n [\n -78.717041015625,\n 38.89958342598271\n ],\n [\n -79.112548828125,\n 38.57393751557591\n ],\n [\n -79.376220703125,\n 38.41916639395372\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"755","issue":"Part 2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":807722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moyer, Douglas L. 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":174389,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215331,"text":"70215331 - 2021 - Regional coordination between riparian dependence and atmospheric demand in willows (Salix L.) of western North America","interactions":[],"lastModifiedDate":"2021-01-22T18:40:29.03294","indexId":"70215331","displayToPublicDate":"2020-11-06T12:36:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regional coordination between riparian dependence and atmospheric demand in willows (Salix L.) of western North America","title":"Regional coordination between riparian dependence and atmospheric demand in willows (Salix L.) of western North America","docAbstract":"

Aim

Plants vary in their hydrological and climatic niches. How these niche dimensions covary among closely related species can help identify co‐adaptations to hydrological and climatic factors, as well as predict biodiversity responses to environmental change.

Location

Western United States.

Methods

Relationships between riparian dependence and climate niches of willows (Salix L.) were assessed, incorporating phylogenetics and functional traits to understand the adaptive nature of those relationships. The riparian dependence niche was estimated as the mean distance between georeferenced occurrence records and the nearest stream based on the National Hydrography Database. Results were compared to oaks (Quercus L.), a less riparian‐dependent clade, with the expectation of different niche relationships.

Results

Willows generally occurred closer to streams than expected by chance, but riparian dependence varied substantially among species. Riparian dependence was positively correlated with mean annual temperature and diurnal temperature range niche, both indicators of atmospheric demand on evapotranspiration. Phylogenetic independent contrast correlations for these relationships were significant as well, and the high degree of niche convergence among species indicated evolutionarily labile co‐adaptations to riparian dependence and atmospheric demand. Plant height increased with mean annual temperature niche, and specific leaf area increased with residual variation in height, indicating underlying morphological correlates of niche variation. Oaks, on the other hand, exhibited no relationship between atmospheric demand and riparian dependence, and weaker niche relationships with riparian dependence overall.

Main conclusions

These results support the assertion that hydric‐adapted, woody riparian plants compensate for increased atmospheric demand on transpiration with a reliable supply of water provided by riparian habitats and that this trade‐off may be unique from mesic–xeric woody plants. Conservation of warm‐adapted riparian trees and shrubs under increasing temperatures and atmospheric demand may necessitate reversal of groundwater depletion. Cool‐adapted species may be best conserved through maintenance or expansion of riparian buffers as they become more riparian obligate with warming.

","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13192","usgsCitation":"Butterfield, B.J., Palmquist, E.C., and Hultine, K.R., 2021, Regional coordination between riparian dependence and atmospheric demand in willows (Salix L.) of western North America: Diversity and Distributions, v. 27, no. 21, p. 377-388, https://doi.org/10.1111/ddi.13192.","productDescription":"12 p.","startPage":"377","endPage":"388","ipdsId":"IP-116352","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13192","text":"Publisher Index Page"},{"id":382510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.24609374999999,\n 32.54681317351514\n ],\n [\n -114.60937499999999,\n 32.62087018318113\n ],\n [\n -110.830078125,\n 31.353636941500987\n ],\n [\n -108.19335937499999,\n 31.57853542647338\n ],\n [\n -105.64453124999999,\n 27.994401411046148\n ],\n [\n -105.64453124999999,\n 26.03704188651584\n ],\n [\n -104.23828125,\n 25.085598897064752\n ],\n [\n -102.74414062499999,\n 27.839076094777816\n ],\n [\n -101.07421875,\n 25.085598897064752\n ],\n [\n -99.49218749999999,\n 22.268764039073968\n ],\n [\n -97.119140625,\n 26.03704188651584\n ],\n [\n -96.591796875,\n 28.69058765425071\n ],\n [\n -93.42773437499999,\n 29.6880527498568\n ],\n [\n -92.724609375,\n 38.34165619279595\n ],\n [\n -93.69140625,\n 42.293564192170095\n ],\n [\n -96.591796875,\n 46.558860303117164\n ],\n [\n -105.556640625,\n 51.069016659603896\n ],\n [\n -113.90625,\n 52.05249047600099\n ],\n [\n -118.740234375,\n 52.96187505907603\n ],\n [\n -119.091796875,\n 49.89463439573421\n ],\n [\n -122.16796875,\n 49.15296965617042\n ],\n [\n -124.98046874999999,\n 48.40003249610685\n ],\n [\n -124.45312499999999,\n 43.26120612479979\n ],\n [\n -124.541015625,\n 39.70718665682654\n ],\n [\n -121.37695312499999,\n 35.53222622770337\n ],\n [\n -117.24609374999999,\n 32.54681317351514\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"21","noUsgsAuthors":false,"publicationDate":"2020-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":801745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":801746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hultine, Kevin R. 0000-0001-9747-6037","orcid":"https://orcid.org/0000-0001-9747-6037","contributorId":23772,"corporation":false,"usgs":true,"family":"Hultine","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":801747,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218644,"text":"70218644 - 2021 - Telemetry evaluation of carbon dioxide as a behavioral deterrent for invasive carps","interactions":[],"lastModifiedDate":"2021-03-03T12:58:09.415186","indexId":"70218644","displayToPublicDate":"2020-11-06T06:55:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Telemetry evaluation of carbon dioxide as a behavioral deterrent for invasive carps","docAbstract":"

Carbon dioxide (CO2) mixed into water is being explored as a possible management strategy to deter the upstream movements of invasive carps through navigation locks and other migratory pinch-points. This study used two-dimensional acoustic telemetry to assess the effectiveness of dissolved CO2 as a chemosensory deterrent to two carp species in a large U-shaped pond. Free-swimming movements of telemetered bighead carp (Hypophthalmichthys nobilis) and grass carp (Ctenopharyngodon idella) were documented 24 h before treatment and 24 h during treatments at 60, 121 and 213 mg/L CO2 (mean concentrations in pond water). Several behavioral endpoints were then quantified and compared to evaluate deterrence efficacy. In general, results showed that both carp species responded similarly to CO2 treatments. Carps consistently relocated into areas away from the injection site and made fewer attempts to re-enter CO2 treated areas. On average, CO2 treatments reduced mid-line crosses between untreated and treated sides of the pond by 58% at 121 mg/L CO2 and 78% at 213 mg/L CO2 relative to normal swimming movements recorded before treatment. Fish swim speeds increased significantly when inside the CO2 plume during treatments during 213 mg/L CO2 trials relative to swim speeds outside the plume, possibly indicative of active searching and avoidance responses. Overall, this study found that CO2 altered the behavior of bighead carp and grass carp. Natural resource agencies could consider the CO2 concentrations identified in this study to inform future applications to deter invasive carps from locations where they are at-risk to move upstream.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2020.10.004","usgsCitation":"Cupp, A.R., Lopez, A.K., Smerud, J.R., Tix, J., Rivera, J., Swyers, N.M., Brey, M.K., Woodley, C.M., Smith, D.L., and Gaikowski, M., 2021, Telemetry evaluation of carbon dioxide as a behavioral deterrent for invasive carps: Journal of Great Lakes Research, v. 47, no. 1, p. 59-68, https://doi.org/10.1016/j.jglr.2020.10.004.","productDescription":"10 p.","startPage":"59","endPage":"68","ipdsId":"IP-113141","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":436647,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QBSCIE","text":"USGS data release","linkHelpText":"Acoustic telemetry evaluation of carbon dioxide as a behavioral deterrent for invasive fishes data"},{"id":383738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez, Ashley K 0000-0002-7676-4803 aelopez@usgs.gov","orcid":"https://orcid.org/0000-0002-7676-4803","contributorId":253119,"corporation":false,"usgs":false,"family":"Lopez","given":"Ashley","email":"aelopez@usgs.gov","middleInitial":"K","affiliations":[{"id":50484,"text":"ERDC","active":true,"usgs":false}],"preferred":false,"id":811240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smerud, Justin R. 0000-0003-4385-7437 jrsmerud@usgs.gov","orcid":"https://orcid.org/0000-0003-4385-7437","contributorId":5031,"corporation":false,"usgs":true,"family":"Smerud","given":"Justin","email":"jrsmerud@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tix, John A.","contributorId":126766,"corporation":false,"usgs":false,"family":"Tix","given":"John A.","affiliations":[{"id":6602,"text":"Great Lakes Science Center, Hammond Bay Biological Station","active":true,"usgs":false}],"preferred":false,"id":811242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rivera, Jose 0000-0003-3756-6860 jrivera@usgs.gov","orcid":"https://orcid.org/0000-0003-3756-6860","contributorId":201064,"corporation":false,"usgs":true,"family":"Rivera","given":"Jose","email":"jrivera@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swyers, Nicholas M. nswyers@usgs.gov","contributorId":253120,"corporation":false,"usgs":true,"family":"Swyers","given":"Nicholas","email":"nswyers@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":811244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811245,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodley, Christa M.","contributorId":253121,"corporation":false,"usgs":false,"family":"Woodley","given":"Christa","email":"","middleInitial":"M.","affiliations":[{"id":18947,"text":"USACE ERDC","active":true,"usgs":false}],"preferred":false,"id":811246,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, David L.","contributorId":192711,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":811247,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811248,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70216788,"text":"70216788 - 2021 - Nowhere to hide: The importance of instream cover for stream‐living Coastal Cutthroat Trout during seasonal low flow","interactions":[],"lastModifiedDate":"2021-03-19T20:30:11.555251","indexId":"70216788","displayToPublicDate":"2020-11-05T09:03:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Nowhere to hide: The importance of instream cover for stream‐living Coastal Cutthroat Trout during seasonal low flow","docAbstract":"

Through their multiple functions, refuges may be important for stream‐living fishes, particularly during stressful events such as seasonal low flow or drought. Coastal Cutthroat Trout Oncorhynchus clarkii clarkii is an ideal study organism to understand the importance of refuge. During seasonal low flow, lower water levels limit access to refuge and emigration, survival of fish is low, and predation risk is high. Under these conditions, we studied patterns of cover use from field observations and tested predictions from multiple hypotheses about cover use in a semi‐natural experiment. Boulders were the main cover selected by trout in natural streams. Trout disproportionately used cover near deeper water, and they selected larger‐sized cover in shallower water. Trout showed plasticity to switch among behaviours, concealing under cover and emigrating as first options, followed by grouping, and then habitat shifting. Lack of feeding and growth suggested that perceived threat of predation was a more important driver of behaviour than foraging. Emigration was also linked to cover, with higher levels of emigration associated with less cover availability, revealing a potential link between refuge and demography through emigration. Except for feeding, the intensity of alternative behaviours can increase or decrease depending on refuge availability. Collectively, findings of this work indicate that cover can be considered a critical limiting resource along with other fundamental resources of food and space for stream‐living fish.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12581","usgsCitation":"Penaluna, B.E., Dunham, J.B., and Andersen, H.V., 2021, Nowhere to hide: The importance of instream cover for stream‐living Coastal Cutthroat Trout during seasonal low flow: Ecology of Freshwater Fish, v. 30, no. 2, p. 256-269, https://doi.org/10.1111/eff.12581.","productDescription":"14 p.","startPage":"256","endPage":"269","ipdsId":"IP-122782","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":381026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Penaluna, Brooke E","contributorId":192212,"corporation":false,"usgs":false,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":806260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":806261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andersen, Heidi V.","contributorId":245475,"corporation":false,"usgs":false,"family":"Andersen","given":"Heidi","email":"","middleInitial":"V.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":806262,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217910,"text":"70217910 - 2021 - Multi-year hydroclimatic droughts and pluvials across the conterminous United States","interactions":[],"lastModifiedDate":"2021-03-19T20:26:17.083435","indexId":"70217910","displayToPublicDate":"2020-11-05T08:18:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-year hydroclimatic droughts and pluvials across the conterminous United States","docAbstract":"

Time series of water‐year runoff for 2,109 hydrologic units (HUs) across the conterminous United States (CONUS) for the 1900 through 2014 period were used to identify drought and pluvial (i.e., wet) periods. Characteristics of the drought and pluvial events including frequency, duration, and severity were examined and compared. Additionally, a similar analysis was performed using gridded tree‐ring reconstructions of the Palmer Drought Severity Index (PDSI) for the period 1475 through 2005 to place the drought and pluvial characteristics determined using water‐year runoff for 1900 through 2014 in the context of multi‐century climate variability. The temporal and spatial variability of droughts and pluvials determined using runoff for the 1900 through 2014 period indicated that most drought events in the CONUS occurred before about 1970, whereas most pluvial periods occurred after about 1970. This change in the frequencies of drought and pluvial events around 1970 was largely related to an increase in fall (October through December) precipitation across much of the central United States. Also, the duration and severity of droughts and pluvials identified using runoff for the 1900 through 2014 period generally were not significantly different from the drought and pluvial characteristics identified using the PDSI for the 1475 through 2005 period.

","language":"English","publisher":"Wiley","doi":"10.1002/joc.6925","usgsCitation":"McCabe, G.J., and Wolock, D.M., 2021, Multi-year hydroclimatic droughts and pluvials across the conterminous United States: International Journal of Climatology, v. 41, no. 3, p. 1731-1746, https://doi.org/10.1002/joc.6925.","productDescription":"16 p.","startPage":"1731","endPage":"1746","ipdsId":"IP-119543","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":489014,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1804801","text":"External Repository"},{"id":383202,"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 \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":810149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":810150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216287,"text":"70216287 - 2021 - Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits","interactions":[],"lastModifiedDate":"2021-01-19T16:03:38.070106","indexId":"70216287","displayToPublicDate":"2020-11-05T07:28:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits","docAbstract":"

A hydrogeochemical study using high resolution ICP-MS was undertaken at the Taurus and other porphyry Cu-Mo(-Au) occurrences and Ag-Au-Cu (+/- Pb, Zn) occurrences with epithermal-style characteristics in the Yukon-Tanana upland region of eastern Alaska. Surface water samples were collected from 30 sites on creeks that drain known deposits and occurrences and surrounding presumably unmineralized areas. Water samples for the entire ∼9 km length of McCord Creek, which drains the Taurus deposit, and those from streams draining the areas at and near the Bluff and Dennison porphyry occurrences have high conductivity values (492 to 1250 μS/cm) and consistently high concentrations of B (3-250 μg/L), Co (2.3 to 42 μg/L), Mn (339 to 4750 μg/L), Re (0.012 to 0.1 μg/L), and SO42- (>200 mg/L), all of which are well above the median value for this data set and significantly greater than concentrations in water samples from the unmineralized areas. These are the best pathfinder elements specifically for porphyry style deposits because most of them are not anomalous in waters near epithermal occurrences. Copper concentrations are high (up to 115 μg/L) in some low-pH water samples from McCord Creek and drainages around Bluff, and a few near neutral pH waters have high molybdenum (>1 μg/L), but neither element is consistently anomalous in close vicinity to the porphyry occurrences, possibly due to a metal-poor, sulfide-poor leached cap (average of ∼50 m) that overlies supergene and hypogene mineralized zones and is the dominant rock at surface. High concentrations of Bi and/or As occur in many waters associated with mineralized areas, particularly the Bluff and Dennison occurrences. In general, the element associations related to porphyry deposits reflect the deposit mineralogy, as well as size of the footprint related to alteration and mineralization.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104821","usgsCitation":"Kelley, K.D., and Graham, G.E., 2021, Hydrogeochemistry in the Yukon-Tanana Upland region of east-central Alaska: Possible exploration tool for porphyry-style deposits: Applied Geochemistry, v. 124, 104821, 15 p., https://doi.org/10.1016/j.apgeochem.2020.104821.","productDescription":"104821, 15 p.","ipdsId":"IP-118637","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":454303,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104821","text":"Publisher Index Page"},{"id":380401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Tanana Upland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -143.3056640625,\n 62.02152819100765\n ],\n [\n -140.9326171875,\n 62.02152819100765\n ],\n [\n -140.9326171875,\n 65.71255746172102\n ],\n [\n -143.3056640625,\n 65.71255746172102\n ],\n [\n -143.3056640625,\n 62.02152819100765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":804581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":804582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216456,"text":"70216456 - 2021 - Germination potential of baldcypress (Taxodium distichum) swamp soil seed bank along geographical gradients","interactions":[],"lastModifiedDate":"2021-01-19T16:29:24.294432","indexId":"70216456","displayToPublicDate":"2020-11-05T07:14:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Germination potential of baldcypress (Taxodium distichum) swamp soil seed bank along geographical gradients","docAbstract":"

Changing environments of temperature, precipitation and moisture availability can affect vegetation in ecosystems, by affecting regeneration from the seed bank. Our objective was to explore the responses of soil seed bank germination to climate-related environments along geographic gradients. We collected seed banks in baldcypress (Taxodium distichum) swamps along the Mississippi River and the Gulf of Mexico Coast in the United States, which have distinct temperature and/or precipitation gradients, and germinated them in a greenhouse. The frequency, richness and seed density of species germinated from the seed bank were compared between various geographic locations, experimental water regimes (saturated, flooded) and wetland types (tidal, non-tidal and inland swamps). We also analyzed the relationship of seed density to the environment by using a Non-metric Multi-dimensional Scaling (NMDS) model. Sixty-one species germinated from the seed bank, differing in pattern by geographic location, experimental water regime and wetland type. The foundation species (i.e., T. distichum and Cephalanthus occidentalis) germinated with a niche affinity for the northern part of the latitudinal gradient (Tennessee and Illinois) and these species may shift northward with climate change. Some species had higher seed density in the locations that were subject to more persistent drought conditions (e.g., Texas) including Cyperus rotundus and Gratiola virginiana, indicating that these species may be better adapted to sites with high temperature and low precipitation. In contrast, certain species including Saururus cernuus and Ludwigia palustris were present throughout the range of these gradients, and so may be more resilient to any future climate shifts. We found that the regeneration potential of baldcypress swamps might be altered by changes in local and climate environment because of nuances of responses of seed banks to climates along latitudinal and longitudinal gradients. Our study can help predict vegetation regeneration potential to climate change environments depending on the ability of these species to disperse and maintain seed banks.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.143484","usgsCitation":"Lei, T., and Middleton, B., 2021, Germination potential of baldcypress (Taxodium distichum) swamp soil seed bank along geographical gradients: Science of the Total Environment, v. 759, 143484, 9 p., https://doi.org/10.1016/j.scitotenv.2020.143484.","productDescription":"143484, 9 p.","ipdsId":"IP-119214","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":454304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.143484","text":"Publisher Index Page"},{"id":380620,"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 -99.31640625,\n 28.69058765425071\n ],\n [\n -79.541015625,\n 28.69058765425071\n ],\n [\n -79.541015625,\n 39.232253141714885\n ],\n [\n -99.31640625,\n 39.232253141714885\n ],\n [\n -99.31640625,\n 28.69058765425071\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"759","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":805182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":206922,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":805183,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216249,"text":"70216249 - 2021 - Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome","interactions":[],"lastModifiedDate":"2023-06-21T16:10:12.841","indexId":"70216249","displayToPublicDate":"2020-11-04T07:52:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1956,"text":"ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome","docAbstract":"

Microbial skin assemblages, including fungal communities, can influence host resistance to infectious diseases. The diversity-invasibility hypothesis predicts that high-diversity communities are less easily invaded than species-poor communities, and thus diverse microbial communities may prevent pathogens from colonizing a host. To explore the hypothesis that host fungal communities mediate resistance to infection by fungal pathogens, we investigated characteristics of bat skin fungal communities as they relate to susceptibility to the emerging disease white-nose syndrome (WNS). Using a culture-based approach, we compared skin fungal assemblage characteristics of 10 bat species that differ in susceptibility to WNS across 10 eastern U.S. states. The fungal assemblages on WNS-susceptible bat species had significantly lower alpha diversity and abundance compared to WNS-resistant species. Overall fungal assemblage structure did not vary based on WNS-susceptibility, but several yeast species were differentially abundant on WNS-resistant bat species. One yeast species inhibited Pseudogymnoascus destructans (Pd), the causative agent on WNS, in vitro under certain conditions, suggesting a possible role in host protection. Further exploration of interactions between Pd and constituents of skin fungal assemblages may prove useful for predicting susceptibility of bat populations to WNS and for developing effective mitigation strategies.

","language":"English","publisher":"Nature","doi":"10.1038/s41396-020-00821-w","usgsCitation":"Vanderwolf, K., Campbell, L., Goldberg, T.L., Blehert, D.S., and Lorch, J.M., 2021, Skin fungal assemblages of bats vary based on susceptibility to white-nose syndrome: ISME Journal, v. 15, p. 909-920, https://doi.org/10.1038/s41396-020-00821-w.","productDescription":"12 p.","startPage":"909","endPage":"920","ipdsId":"IP-118445","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454306,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-020-00821-w","text":"Publisher Index Page"},{"id":418302,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y54WW4"},{"id":380403,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2020-11-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderwolf, Karen J","contributorId":244763,"corporation":false,"usgs":false,"family":"Vanderwolf","given":"Karen J","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Lewis 0000-0002-7852-2250","orcid":"https://orcid.org/0000-0002-7852-2250","contributorId":220373,"corporation":false,"usgs":true,"family":"Campbell","given":"Lewis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804543,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Tony L. 0000-0003-3962-4913","orcid":"https://orcid.org/0000-0003-3962-4913","contributorId":244765,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","email":"","middleInitial":"L.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":804544,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":804546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221861,"text":"70221861 - 2021 - Hybridization alters growth and migratory life-history expression of native trout","interactions":[],"lastModifiedDate":"2021-07-13T10:20:16.106522","indexId":"70221861","displayToPublicDate":"2020-11-03T12:09:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization alters growth and migratory life-history expression of native trout","docAbstract":"

Human-mediated hybridization threatens many native species, but the effects of introgressive hybridization on life-history expression are rarely quantified, especially in vertebrates. We quantified the effects of non-native rainbow trout admixture on important life-history traits including growth and partial migration behavior in three populations of westslope cutthroat trout over five years. Rainbow trout admixture was associated with increased summer growth rates in all populations and decreased spring growth rates in two populations with cooler spring temperatures. These results indicate that non-native admixture may increase growth under warmer conditions, but cutthroat trout have higher growth rates during cooler periods. Non-native admixture consistently increased expression of migratory behavior, suggesting that there is a genomic basis for life-history differences between these species. Our results show that effects of interspecific hybridization on fitness traits can be the product of genotype-by-environment interactions even when there are minor differences in environmental optima between hybridizing species. These results also indicate that while environmentally mediated traits like growth may play a role in population-level consequences of admixture, strong genetic influences on migratory life-history differences between these species likely explains the continued spread of non-native hybridization at the landscape-level, despite selection against hybrids at the population-level.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.13163","usgsCitation":"Strait, J., Eby, L., Kovach, R., Muhlfeld, C.C., Boyer, M., Amish, S.J., Smith, S., Lowe, W., and Luikart, G., 2021, Hybridization alters growth and migratory life-history expression of native trout: Evolutionary Applications, v. 14, p. 821-833, https://doi.org/10.1111/eva.13163.","productDescription":"13 p.","startPage":"821","endPage":"833","ipdsId":"IP-120443","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454307,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.13163","text":"Publisher Index Page"},{"id":387126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.213623046875,\n 47.04766864046083\n ],\n [\n -111.64306640625,\n 47.04766864046083\n ],\n [\n -111.64306640625,\n 49.009050809382046\n ],\n [\n -115.213623046875,\n 49.009050809382046\n ],\n [\n -115.213623046875,\n 47.04766864046083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2020-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Strait, Jeffrey 0000-0002-0901-3911","orcid":"https://orcid.org/0000-0002-0901-3911","contributorId":260879,"corporation":false,"usgs":false,"family":"Strait","given":"Jeffrey","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":819039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eby, Lisa A","contributorId":251751,"corporation":false,"usgs":false,"family":"Eby","given":"Lisa A","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":819040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan P.","contributorId":126724,"corporation":false,"usgs":false,"family":"Kovach","given":"Ryan P.","affiliations":[{"id":6580,"text":"University of Montana, Flathead Lake Biological Station, Polson, Montana 59860, USA","active":true,"usgs":false}],"preferred":false,"id":819041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyer, Matthew","contributorId":124595,"corporation":false,"usgs":false,"family":"Boyer","given":"Matthew","affiliations":[{"id":5133,"text":"Montana Fish Wildlife and Parks, Kalispell, Montana 59901","active":true,"usgs":false}],"preferred":false,"id":819043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amish, Stephen J.","contributorId":104799,"corporation":false,"usgs":false,"family":"Amish","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":819044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Seth","contributorId":189234,"corporation":false,"usgs":false,"family":"Smith","given":"Seth","email":"","affiliations":[],"preferred":false,"id":819045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lowe, Winsor H.","contributorId":64532,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor H.","affiliations":[{"id":5097,"text":"University of Montana, Division of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":819046,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luikart, Gordon","contributorId":124531,"corporation":false,"usgs":false,"family":"Luikart","given":"Gordon","affiliations":[{"id":5091,"text":"Flathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, MT 59860, USA","active":true,"usgs":false}],"preferred":false,"id":819047,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70211530,"text":"70211530 - 2021 - Foreword","interactions":[],"lastModifiedDate":"2021-04-19T16:35:11.260297","indexId":"70211530","displayToPublicDate":"2020-11-03T11:30:33","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Foreword","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Spatial dynamics and ecology of large ungulate populations in tropical forests of India","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Royle, J.A., 2021, Foreword, chap. of Spatial dynamics and ecology of large ungulate populations in tropical forests of India, p. vii-ix.","productDescription":"3 p.","startPage":"vii","endPage":"ix","ipdsId":"IP-118087","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":385201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":376861,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/book/10.1007%2F978-981-15-6934-0#toc"}],"country":"India","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[80.47672,29.72987],[80.08842,28.79447],[81.0572,28.4161],[81.99999,27.92548],[83.30425,27.36451],[84.67502,27.2349],[85.25178,26.7262],[86.02439,26.63098],[87.22747,26.3979],[88.06024,26.41462],[88.1748,26.81041],[88.04313,27.44582],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[88.83564,27.09897],[89.74453,26.7194],[90.37327,26.87572],[91.21751,26.80865],[92.03348,26.83831],[92.10371,27.45261],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.14603,23.6275],[91.86993,23.62435],[91.70648,22.98526],[91.15896,23.50353],[91.46773,24.07264],[91.91509,24.13041],[92.3762,24.97669],[91.7996,25.14743],[90.87221,25.1326],[89.92069,25.26975],[89.83248,25.96508],[89.35509,26.01441],[88.56305,26.44653],[88.20979,25.76807],[88.93155,25.23869],[88.30637,24.86608],[88.08442,24.50166],[88.69994,24.23371],[88.52977,23.63114],[88.87631,22.87915],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[68.8426,24.35913],[71.04324,24.35652],[70.8447,25.2151],[70.28287,25.72223],[70.16893,26.49187],[69.51439,26.94097],[70.6165,27.9892],[71.77767,27.91318],[72.82375,28.96159],[73.45064,29.97641],[74.42138,30.97981],[74.40593,31.69264],[75.25864,32.27111],[74.45156,32.7649],[74.10429,33.44147],[73.74995,34.3177],[74.2402,34.74889],[75.75706,34.50492],[76.87172,34.65354],[77.83745,35.49401]]]},\"properties\":{\"name\":\"India\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":794529,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228230,"text":"70228230 - 2021 - Sibship reconstruction with SNPs illuminates the scope of a cryptic invasion of Asian Swamp Eels (Monopterus albus) in Georgia, USA","interactions":[],"lastModifiedDate":"2022-02-14T12:25:38.150683","indexId":"70228230","displayToPublicDate":"2020-11-03T11:28:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sibship reconstruction with SNPs illuminates the scope of a cryptic invasion of Asian Swamp Eels (Monopterus albus) in Georgia, USA","title":"Sibship reconstruction with SNPs illuminates the scope of a cryptic invasion of Asian Swamp Eels (Monopterus albus) in Georgia, USA","docAbstract":"

Cryptic invasive species are particularly problematic to study, manage, and control because of the difficulty detecting these species within their invaded habitats. Such is the case of the Asian Swamp Eel (Monopterus albus; ASE) where it is established in vegetated marshes along the Chattahoochee River, Georgia. Adult eels have been nearly impossible to detect or quantify with traditional sampling, although leaf-litter trapping of juvenile ASEs has been somewhat successful. In this study, we leveraged a collection of juveniles from the 2015 cohort and used single-nucleotide polymorphisms to reconstruct sibship among these juveniles in COLONY. Sibship reconstruction allowed us to learn about adult breeding behaviors and provided the first quantified estimates of breeder abundance. Pedigree reconstruction revealed that adults of both sexes were polygamous and likely traveled up to 0.5 km among marsh habitats during a single breeding season. Estimates of the number of breeding adults contributing to offspring (Ns) and the effective number of breeders (Nb) indicated an approximate minimum bound of 100 breeding adults in the marshes in 2015. Our study updated the invasion status of a cryptic population formerly riddled with uncertainty, highlighting that low captures of adult eels in the study area have been the result of low detectability, not low abundance. Given that low detectability would likely hinder removal efforts, our results suggest that future efforts could focus on suppression of ASE abundance when they are most vulnerable to capture and containing the spatial extent of the invasion.

","language":"English","publisher":"Springer Link","doi":"10.1007/s10530-020-02384-5","usgsCitation":"Taylor, A., Bangs, M.R., and Long, J.M., 2021, Sibship reconstruction with SNPs illuminates the scope of a cryptic invasion of Asian Swamp Eels (Monopterus albus) in Georgia, USA: Biological Invasions, v. 23, p. 569-580, https://doi.org/10.1007/s10530-020-02384-5.","productDescription":"12 p.","startPage":"569","endPage":"580","ipdsId":"IP-109886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.39371109008789,\n 33.9874951489\n ],\n [\n -84.36555862426758,\n 33.9874951489\n ],\n [\n -84.36555862426758,\n 34.0079888707242\n ],\n [\n -84.39371109008789,\n 34.0079888707242\n ],\n [\n -84.39371109008789,\n 33.9874951489\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2020-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, A. T.","contributorId":274894,"corporation":false,"usgs":false,"family":"Taylor","given":"A. T.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bangs, M. R.","contributorId":274895,"corporation":false,"usgs":false,"family":"Bangs","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":833487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216442,"text":"70216442 - 2021 - A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity","interactions":[],"lastModifiedDate":"2021-03-05T21:58:59.699233","indexId":"70216442","displayToPublicDate":"2020-11-03T06:58:25","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity","docAbstract":"

Community occupancy models estimate species‐specific parameters while sharing information across species by treating parameters as sampled from a common distribution. When communities consist of discrete groups, shrinkage of estimates towards the community mean can mask differences among groups. Infinite mixture models using a Dirichlet process (DP) distribution, in which the number of latent groups is estimated from the data, have been proposed as a solution. In addition to community structure, these models estimate species similarity, which allows testing hypotheses about whether traits drive species response to environmental conditions. We develop a community occupancy model (COM) using a DP distribution to model species‐level parameters. Because clustering algorithms are sensitive to dimensionality and distinctiveness of clusters, we conducted a simulation study to explore performance of the DP‐COM with different dimensions (i.e., different numbers of model parameters with species‐level DP random effects) and under varying cluster differences. Because the DP‐COM is computationally expensive, we compared its estimates to a COM with a normal random species effect. We further applied the DP‐COM model to a bird dataset from Uganda. Estimates of the number of clusters and species cluster identity improved with increasing difference among clusters and increasing dimensions of the DP; but the number of clusters was always overestimated. Estimates of number of sites occupied and species and community level covariate coefficients on occupancy probability were generally unbiased with (near‐) nominal 95% Bayesian Credible Interval coverage. Accuracy of estimates from the normal and the DP‐COM were similar. The DP‐COM clustered 166 bird species into 27 clusters regarding their affiliation with open or woodland habitat and distance to oil wells. Estimates of covariate coefficients were similar between a normal and the DP‐COM. Except sunbirds, species within a family were not more similar in their response to these covariates than the overall community. Given that estimates were consistent between the normal and the DP‐COM, and considering the computational burden for the DP models, we recommend using the DP‐COM only when the analysis focuses on community structure and species similarity, as these quantities can only be obtained under the DP‐COM.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2249","usgsCitation":"Sollmann, R., Eaton, M.J., Link, W., Mulundo, P., Ayebare, S., Prinsloo, S., Plumptre, A.J., and Johnson, D., 2021, A Bayesian Dirichlet process community occupancy model to estimate community structure and species similarity: Ecological Applications, v. 31, no. 2, e2249, https://doi.org/10.1002/eap.2249.","productDescription":"e2249","ipdsId":"IP-090810","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":454310,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.2249","text":"External Repository"},{"id":380583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Sollmann, Rahel 0000-0002-1607-2039","orcid":"https://orcid.org/0000-0002-1607-2039","contributorId":244998,"corporation":false,"usgs":false,"family":"Sollmann","given":"Rahel","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":805121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":805123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, William 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":221718,"corporation":false,"usgs":true,"family":"Link","given":"William","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":805122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mulundo, Paul","contributorId":245000,"corporation":false,"usgs":false,"family":"Mulundo","given":"Paul","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":805124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayebare, Samuel","contributorId":245001,"corporation":false,"usgs":false,"family":"Ayebare","given":"Samuel","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":805125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prinsloo, Sarah","contributorId":245002,"corporation":false,"usgs":false,"family":"Prinsloo","given":"Sarah","email":"","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":805126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plumptre, Andrew J.","contributorId":213154,"corporation":false,"usgs":false,"family":"Plumptre","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":805127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, D.S.","contributorId":245003,"corporation":false,"usgs":false,"family":"Johnson","given":"D.S.","affiliations":[{"id":17856,"text":"National Marine Fisheries Service, NOAA","active":true,"usgs":false}],"preferred":false,"id":805128,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70236889,"text":"70236889 - 2021 - Damping values derived from surface-source, downhole-receiver measurements at 22 sites in the San Francisco Bay Area of central California and the San Fernando Valley of southern California","interactions":[],"lastModifiedDate":"2022-09-21T11:58:20.742945","indexId":"70236889","displayToPublicDate":"2020-11-03T06:55:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Damping values derived from surface-source, downhole-receiver measurements at 22 sites in the San Francisco Bay Area of central California and the San Fernando Valley of southern California","docAbstract":"

A method discussed in Gibbs, Boore, et al. (1994) was applied to surface‐source, downhole‐receiver recordings at 22 boreholes, in the San Francisco Bay area in central California and the San Fernando Valley of southern California, to determine the average damping ratio of shear waves over depth intervals ranging from about 10 m to as much as 245 m (at one site), with most maximum depths being between 35 and 90 m. The average damping values range from somewhat less than 1% to almost 8%, with little dependence on grain size for sites in sediments. Surprisingly, the average damping values for sites with average velocities greater than about 450&#x2009;&#x2009;m/s\">450  m/s450  m/s⁠, including, but not limited to rock sites, are generally larger than for sites with lower average velocities. The combined effect of the higher damping and shorter travel times through the rock columns, however, leads to an effective attenuation that is generally comparable or smaller than for soil sites.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200225","usgsCitation":"Boore, D., Gibbs, J., and Joyner, W.B., 2021, Damping values derived from surface-source, downhole-receiver measurements at 22 sites in the San Francisco Bay Area of central California and the San Fernando Valley of southern California: Bulletin of the Seismological Society of America, v. 111, no. 4, p. 2158-2166, https://doi.org/10.1785/0120200225.","productDescription":"9 p.","startPage":"2158","endPage":"2166","ipdsId":"IP-119118","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":407126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Area, San Fernando Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.541259765625,\n 36.79169061907076\n ],\n [\n -120.355224609375,\n 36.79169061907076\n ],\n [\n -120.355224609375,\n 38.75408327579141\n ],\n [\n -123.541259765625,\n 38.75408327579141\n ],\n [\n -123.541259765625,\n 36.79169061907076\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.53125,\n 34.016241889667015\n ],\n [\n -117.59765625,\n 34.016241889667015\n ],\n [\n -117.59765625,\n 35.209721645221386\n ],\n [\n -119.53125,\n 35.209721645221386\n ],\n [\n -119.53125,\n 34.016241889667015\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"111","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Boore, David 0000-0002-8605-9673 boore@usgs.gov","orcid":"https://orcid.org/0000-0002-8605-9673","contributorId":140502,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":852476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gibbs, James F.","contributorId":95880,"corporation":false,"usgs":true,"family":"Gibbs","given":"James F.","affiliations":[],"preferred":false,"id":852621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joyner, William B.","contributorId":39786,"corporation":false,"usgs":true,"family":"Joyner","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":852622,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228400,"text":"70228400 - 2021 - Understanding collaborative governance from a communication network perspective: A case study of the Atlantic Salmon recovery framework","interactions":[],"lastModifiedDate":"2022-02-10T17:04:06.13822","indexId":"70228400","displayToPublicDate":"2020-11-02T11:00:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1563,"text":"Environmental Science and Policy","active":true,"publicationSubtype":{"id":10}},"title":"Understanding collaborative governance from a communication network perspective: A case study of the Atlantic Salmon recovery framework","docAbstract":"

Atlantic salmon populations in Maine remain critically low despite extensive hatchery supplementation and habitat improvement efforts. In 2000, the Gulf of Maine Distinct Population Segment was listed as Endangered under the ESA with joint listing authority shared by the National Oceanic and Atmospheric Administration (NOAA) and the United States Fish and Wildlife Service (USFWS). Because, regulators, and tribal, federal and state managers operate with independent authorities, recovery decisions depend upon effective communication and coordination among groups. Using a mixed-methods approach, we surveyed (n = 41) and interviewed (n = 28) members of the Atlantic Salmon Recovery Framework (ASRF), the joint governance structure responsible for Atlantic salmon management in Maine. We used survey results to examine the communication between members of ASRF through communication network analysis. While there is a relatively high network density for individual communication (56 %), connections are decentralized, a characteristic that can be incompatible with some organizational structures. Challenges reported by members fit into three general categories; i. slow and ineffective decision-making, ii. confusion surrounding leadership and accountability, and iii. low adaptive capacity. Despite these challenges, participants reported a commitment to maintaining a collaborative governance structure and a long history of inter-organizational relationships. This introspective effort has led to a reorganization effort to optimize communication pathways.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsci.2020.10.001","usgsCitation":"Flye, M.E., Sponarski, C.C., Zydlewski, J.D., and McGreavy, B., 2021, Understanding collaborative governance from a communication network perspective: A case study of the Atlantic Salmon recovery framework: Environmental Science and Policy, v. 115, p. 79-90, https://doi.org/10.1016/j.envsci.2020.10.001.","productDescription":"12 p.","startPage":"79","endPage":"90","ipdsId":"IP-115322","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":454314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsci.2020.10.001","text":"Publisher Index Page"},{"id":395781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.57617187499999,\n 42.69858589169842\n ],\n [\n -68.961181640625,\n 42.69858589169842\n ],\n [\n -67.181396484375,\n 43.36512572875844\n ],\n [\n -66.302490234375,\n 44.213709909702054\n ],\n [\n -66.961669921875,\n 44.96479793033101\n ],\n [\n -69.093017578125,\n 44.42593442145313\n ],\n [\n -70.77392578125,\n 43.42898792344155\n ],\n [\n -70.72998046875,\n 43.100982876188546\n ],\n [\n -70.57617187499999,\n 42.69858589169842\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flye, Melissa. E.","contributorId":275664,"corporation":false,"usgs":false,"family":"Flye","given":"Melissa.","email":"","middleInitial":"E.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sponarski, Carly. C","contributorId":275665,"corporation":false,"usgs":false,"family":"Sponarski","given":"Carly.","email":"","middleInitial":"C","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":834201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGreavy, Bridie","contributorId":275231,"corporation":false,"usgs":false,"family":"McGreavy","given":"Bridie","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":834204,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217747,"text":"70217747 - 2021 - Transport and speciation of uranium in groundwater-surface water systems impacted by legacy milling operations","interactions":[],"lastModifiedDate":"2021-02-01T14:29:48.935866","indexId":"70217747","displayToPublicDate":"2020-11-02T06:35:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Transport and speciation of uranium in groundwater-surface water systems impacted by legacy milling operations","docAbstract":"

Growing worldwide concern over uranium contamination of groundwater resources has placed an emphasis on understanding uranium transport dynamics and potential toxicity in groundwater-surface water systems. In this study, we utilized novel in-situ sampling methods to establish the location and magnitude of contaminated groundwater entry into a receiving surface water environment, and to investigate the speciation and potential bioavailability of uranium in groundwater and surface water. Streambed temperature mapping successfully identified the location of groundwater entry to the Little Wind River, downgradient from the former Riverton uranium mill site, Wyoming, USA. Diffusive equilibrium in thin-film (DET) samplers further constrained the groundwater plume and established sediment pore water solute concentrations and patterns. In this system, evidence is presented for attenuation of uranium-rich groundwater in the shallow sediments where surface water and groundwater interaction occurs. Surface water grab and DET sampling successfully detected an increase in river uranium concentrations where the groundwater plume enters the Little Wind River; however, concentrations remained below environmental guideline levels. Uranium speciation was investigated using diffusive gradients in thin-film (DGT) samplers and geochemical speciation modelling. Together, these investigations indicate uranium may have limited bioavailability to organisms in the Little Wind River and, possibly, in other similar sites in the western U.S.A. This could be due to ion competition effects or the presence of non- or partially labile uranium complexes. Development of methods to establish the location of contaminated (uranium) groundwater entry to surface water environments, and the potential effects on ecosystems, is crucial to develop both site-specific and general conceptual models of uranium behavior and potential toxicity in affected ground and surface water environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.143314","usgsCitation":"Byrne, P.A., Fuller, C.C., Naftz, D.L., Runkel, R.L., Lehto, N.J., and Dam, W., 2021, Transport and speciation of uranium in groundwater-surface water systems impacted by legacy milling operations: Science of the Total Environment, v. 761, 143314, 11 p., https://doi.org/10.1016/j.scitotenv.2020.143314.","productDescription":"143314, 11 p.","ipdsId":"IP-121496","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1776309","text":"Publisher Index Page"},{"id":382831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Riverton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.39832305908203,\n 43.00816202648563\n ],\n [\n -108.33995819091797,\n 43.00816202648563\n ],\n [\n -108.33995819091797,\n 43.03175685183966\n ],\n [\n -108.39832305908203,\n 43.03175685183966\n ],\n [\n -108.39832305908203,\n 43.00816202648563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"761","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick A.","contributorId":247578,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":809453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":809454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naftz, David L. 0000-0003-1130-6892 dlnaftz@usgs.gov","orcid":"https://orcid.org/0000-0003-1130-6892","contributorId":1041,"corporation":false,"usgs":true,"family":"Naftz","given":"David","email":"dlnaftz@usgs.gov","middleInitial":"L.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lehto, Niklas J","contributorId":248588,"corporation":false,"usgs":false,"family":"Lehto","given":"Niklas","email":"","middleInitial":"J","affiliations":[{"id":49952,"text":"Lincoln University","active":true,"usgs":false}],"preferred":false,"id":809457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dam, William L","contributorId":248589,"corporation":false,"usgs":false,"family":"Dam","given":"William L","affiliations":[{"id":49955,"text":"Conserve-Prosper LLC","active":true,"usgs":false}],"preferred":false,"id":809458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70216402,"text":"70216402 - 2021 - Thinking like a consumer: Linking aquatic basal metabolism and consumer dynamics","interactions":[],"lastModifiedDate":"2021-02-03T23:53:16.73024","indexId":"70216402","displayToPublicDate":"2020-10-31T08:26:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Thinking like a consumer: Linking aquatic basal metabolism and consumer dynamics","docAbstract":"

The increasing availability of high‐frequency freshwater ecosystem metabolism data provides an opportunity to identify links between metabolic regimes, as gross primary production and ecosystem respiration patterns, and consumer energetics with the potential to improve our current understanding of consumer dynamics (e.g., population dynamics, community structure, trophic interactions). We describe a conceptual framework linking metabolic regimes of flowing waters with consumer community dynamics. We use this framework to identify three emerging research needs: (1) quantifying the linkage of metabolism and consumer production data via food web theory and carbon use efficiencies, (2) evaluating the roles of metabolic dynamics and other environmental regimes (e.g., hydrology, light) in consumer dynamics, and (3) determining the degree to which metabolic regimes influence the evolution of consumer traits and phenology. Addressing these needs will improve the understanding of consumer biomass and production patterns as metabolic regimes can be viewed as an emergent property of food webs.

","language":"English","publisher":"Wiley","doi":"10.1002/lol2.10172","usgsCitation":"Ruegg, J., Conn, C.C., Anderson, E., Battin, T., Bernhardt, E., Canadell, M.B., Bonjour, S.M., Hosen, J.D., Marzolf, N.S., and Yackulic, C., 2021, Thinking like a consumer: Linking aquatic basal metabolism and consumer dynamics: Limnology and Oceanography Letters, v. 6, no. 1, p. 1-17, https://doi.org/10.1002/lol2.10172.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-111583","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10172","text":"Publisher Index Page"},{"id":380529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruegg, Janine","contributorId":244901,"corporation":false,"usgs":false,"family":"Ruegg","given":"Janine","email":"","affiliations":[{"id":49013,"text":"Stream Biofilm and Ecosystem Research, École Fédérale Polytechnique de Lausanne, Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":804903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conn, Caitlin C","contributorId":219914,"corporation":false,"usgs":false,"family":"Conn","given":"Caitlin","email":"","middleInitial":"C","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":804904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Elizabeth P","contributorId":244902,"corporation":false,"usgs":false,"family":"Anderson","given":"Elizabeth P","affiliations":[{"id":49014,"text":"Department of Earth and Environment and Institute of Environment, Florida International University, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":804905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Battin, Tom J","contributorId":244903,"corporation":false,"usgs":false,"family":"Battin","given":"Tom J","affiliations":[{"id":49013,"text":"Stream Biofilm and Ecosystem Research, École Fédérale Polytechnique de Lausanne, Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":804906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":804907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Canadell, Marta Boix","contributorId":244904,"corporation":false,"usgs":false,"family":"Canadell","given":"Marta","email":"","middleInitial":"Boix","affiliations":[{"id":49013,"text":"Stream Biofilm and Ecosystem Research, École Fédérale Polytechnique de Lausanne, Lausanne, Switzerland","active":true,"usgs":false}],"preferred":false,"id":804908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonjour, Sophia M","contributorId":244905,"corporation":false,"usgs":false,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"M","affiliations":[{"id":49015,"text":"School of Life Sciences, Arizona State University, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":804909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hosen, Jacob D.","contributorId":149188,"corporation":false,"usgs":false,"family":"Hosen","given":"Jacob","email":"","middleInitial":"D.","affiliations":[{"id":17663,"text":"Chesapeake Biological Laboratory, University of Maryland Center for Environmental Science, Solomons, Maryland, United States","active":true,"usgs":false}],"preferred":false,"id":804910,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marzolf, Nicholas S","contributorId":244906,"corporation":false,"usgs":false,"family":"Marzolf","given":"Nicholas","email":"","middleInitial":"S","affiliations":[{"id":49016,"text":"Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, USA","active":true,"usgs":false}],"preferred":false,"id":804911,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":804912,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70249740,"text":"70249740 - 2021 - Preparing wildlife for climate change: How far have we come?","interactions":[],"lastModifiedDate":"2023-10-26T12:18:41.616833","indexId":"70249740","displayToPublicDate":"2020-10-30T07:17:06","publicationYear":"2021","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":"Preparing wildlife for climate change: How far have we come?","docAbstract":"

Global biodiversity is in unprecedented decline and on-the-ground solutions are imperative for conservation. Although there is a large volume of evidence related to climate change effects on wildlife, research on climate adaptation strategies is lagging. To assess the current state of knowledge in climate adaptation, we conducted a comprehensive literature review and evaluated 1,346 peer-reviewed publications for management recommendations designed to address the consequences of climate change on wildlife populations. From 509 publications, we identified 2,306 recommendations and employed both qualitative and quantitative methods for data analysis. Although we found an increase in the volume and diversity of recommendations since 2007, a focus on protected areas (26%, 596 of 2,306 recommendations) and the non-reserve matrix (12%, 276 of 2,306 recommendations) remained prominent in the climate adaptation literature. Common concepts include protected areas, invasive species, ecosystem services, adaptive management, stepping stones, assisted migration, and conservation easements. In contrast, only 1% of recommendations focused on reproduction (n = 26), survival (n = 14), disease (n = 26), or human-wildlife conflict (n = 24). Few recommendations reflected the potential for local-scale management interventions. We demonstrate limited advancement in preparing natural resource managers in climate adaptation at local, management-relevant scales. Additional research is needed to identify and evaluate climate adaptation strategies aimed at reducing the vulnerability of wildlife to contemporary climate change. © 2020 The Wildlife Society.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21969","usgsCitation":"LeDee, O.E., Handler, S., Hoving, C.L., Swanston, C., and Zuckerberg, B., 2021, Preparing wildlife for climate change: How far have we come?: Journal of Wildlife Management, v. 85, no. 1, p. 7-16, https://doi.org/10.1002/jwmg.21969.","productDescription":"10 p.","startPage":"7","endPage":"16","ipdsId":"IP-112809","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":422134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"85","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"LeDee, Olivia E. 0000-0002-7791-5829 oledee@usgs.gov","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":242820,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia","email":"oledee@usgs.gov","middleInitial":"E.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":886903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handler, Stephen D.","contributorId":329859,"corporation":false,"usgs":false,"family":"Handler","given":"Stephen D.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":886943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoving, Christopher L.","contributorId":329860,"corporation":false,"usgs":false,"family":"Hoving","given":"Christopher","email":"","middleInitial":"L.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":886944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swanston, Christopher W.","contributorId":329862,"corporation":false,"usgs":false,"family":"Swanston","given":"Christopher W.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":886945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zuckerberg, Benjamin","contributorId":329861,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":886946,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223195,"text":"70223195 - 2021 - A generic soil velocity model that accounts for near-surface conditions and deeper geologic structure","interactions":[],"lastModifiedDate":"2021-08-17T12:18:34.915965","indexId":"70223195","displayToPublicDate":"2020-10-30T07:16:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3418,"text":"Soil Dynamics and Earthquake Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A generic soil velocity model that accounts for near-surface conditions and deeper geologic structure","docAbstract":"

Near-surface soil conditions can significantly alter the amplitude and frequency content of incoming ground motions – often with profound consequences for the built environment – and are thus important inputs to any ground-motion prediction. Previous soil-velocity models (SVM) have predicted shear-wave velocity profiles based on the time-averaged shear-wave velocity in the upper 30 m (VS30). This article presents a generic soil-velocity model that accounts both for near-surface conditions (VS30) and deeper geologic structure, as represented to the depth at which the profile reaches a velocity of 1.0 km/s (Z1.0). To demonstrate the advantages of our new SVM, we apply it to the Cascadia Region of North America, where numerous geologic basins and glaciated landscapes give rise to a wide range of VS30 and Z1.0 combinations. This soil velocity model yields good estimates of site response across all site conditions, and significantly improves upon a model calibrated using only VS30 data. In conjunction with existing models that describe the deep velocity structure of the region (e.g., (Stephenson et al., 2017) [27]; the proposed model is particularly suited for use in regional-scale predictions of site response, liquefaction, landslides, infrastructure damage, and loss. The proposed methodology is broadly applicable to the development of SVMs elsewhere, and with improved understanding of near-surface and deep velocity structures, can facilitate more accurate ground-motion predictions globally.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2020.106461","usgsCitation":"Marafi, N.A., Grant, A.R., Maurer, B.W., Rateria, G., Eberhard, M.O., and Berman, J.W., 2021, A generic soil velocity model that accounts for near-surface conditions and deeper geologic structure: Soil Dynamics and Earthquake Engineering, v. 140, 106461, 11 p., https://doi.org/10.1016/j.soildyn.2020.106461.","productDescription":"106461, 11 p.","ipdsId":"IP-117816","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":454323,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soildyn.2020.106461","text":"Publisher Index Page"},{"id":387978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.4423828125,\n 48.22467264956519\n ],\n [\n -121.4208984375,\n 48.22467264956519\n ],\n [\n -121.4208984375,\n 49.095452162534826\n ],\n [\n -123.4423828125,\n 49.095452162534826\n ],\n [\n -123.4423828125,\n 48.22467264956519\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":821341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maurer, Brett W.","contributorId":139387,"corporation":false,"usgs":false,"family":"Maurer","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rateria, Gunjan","contributorId":264324,"corporation":false,"usgs":false,"family":"Rateria","given":"Gunjan","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":821344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eberhard, Marc O 0000-0001-6752-3736","orcid":"https://orcid.org/0000-0001-6752-3736","contributorId":264325,"corporation":false,"usgs":false,"family":"Eberhard","given":"Marc","email":"","middleInitial":"O","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":821345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berman, Jeff W","contributorId":264326,"corporation":false,"usgs":false,"family":"Berman","given":"Jeff","email":"","middleInitial":"W","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":821346,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70220409,"text":"70220409 - 2021 - Applying cumulative effects to strategically advance large‐scale ecosystem restoration","interactions":[],"lastModifiedDate":"2021-05-13T11:39:49.102351","indexId":"70220409","displayToPublicDate":"2020-10-29T06:48:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Applying cumulative effects to strategically advance large‐scale ecosystem restoration","docAbstract":"

International efforts to restore degraded ecosystems will continue to expand over the coming decades, yet the factors contributing to the effectiveness of long‐term restoration across large areas remain largely unexplored. At large scales, outcomes are more complex and synergistic than the additive impacts of individual restoration projects. Here, we propose a cumulative‐effects conceptual framework to inform restoration design and implementation and to comprehensively measure ecological outcomes. To evaluate and illustrate this approach, we reviewed long‐term restoration in several large coastal and riverine areas across the US: the greater Florida Everglades; Gulf of Mexico coast; lower Columbia River and estuary; Puget Sound; San Francisco Bay and Sacramento–San Joaquin Delta; Missouri River; and northeastern coastal states. Evidence supported eight modes of cumulative effects of interacting restoration projects, which improved outcomes for species and ecosystems at landscape and regional scales. We conclude that cumulative effects, usually measured for ecosystem degradation, are also measurable for ecosystem restoration. The consideration of evidence‐based cumulative effects will help managers of large‐scale restoration capitalize on positive feedback and reduce countervailing effects.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2274","usgsCitation":"Diefenderfer, H.L., Steyer, G., Harwell, M.C., LoSchiavo, A.J., Neckles, H.A., Burdick, D.M., Johnson, G.E., Buenau, K.E., Trujillo, E., Callaway, J.C., Thom, R.M., Ganju, N., and Twilley, R.R., 2021, Applying cumulative effects to strategically advance large‐scale ecosystem restoration: Frontiers in Ecology and the Environment, v. 19, no. 2, p. 108-117, https://doi.org/10.1002/fee.2274.","productDescription":"10 p.","startPage":"108","endPage":"117","ipdsId":"IP-107430","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":454325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2274","text":"Publisher Index Page"},{"id":385579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico, San Francisco Bay/Sacramento Delta, Puget Sound, Gulf of Maine, Virginia Coastal Bays, Lower Columbia River and Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.66796875,\n 25.562265014427492\n ],\n [\n -82.44140625,\n 25.562265014427492\n ],\n [\n -82.44140625,\n 30.372875188118016\n ],\n [\n -99.66796875,\n 30.372875188118016\n ],\n [\n -99.66796875,\n 25.562265014427492\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.1484375,\n 45.398449976304086\n ],\n [\n -70.400390625,\n 44.33956524809713\n ],\n [\n -74.35546875,\n 40.78054143186033\n ],\n [\n -77.16796875,\n 38.95940879245423\n ],\n [\n -76.728515625,\n 36.80928470205937\n ],\n [\n -74.1796875,\n 36.59788913307022\n ],\n [\n -67.1484375,\n 45.398449976304086\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.87109375,\n 36.31512514748051\n ],\n [\n -121.28906250000001,\n 36.31512514748051\n ],\n [\n -121.28906250000001,\n 38.54816542304656\n ],\n [\n -122.87109375,\n 38.54816542304656\n ],\n [\n -122.87109375,\n 36.31512514748051\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.71679687499999,\n 44.84029065139799\n ],\n [\n -121.11328124999999,\n 44.84029065139799\n ],\n [\n -121.11328124999999,\n 49.15296965617042\n ],\n [\n -124.71679687499999,\n 49.15296965617042\n ],\n [\n -124.71679687499999,\n 44.84029065139799\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Diefenderfer, Heida L. 0000-0001-6153-4565","orcid":"https://orcid.org/0000-0001-6153-4565","contributorId":257980,"corporation":false,"usgs":false,"family":"Diefenderfer","given":"Heida","email":"","middleInitial":"L.","affiliations":[{"id":52195,"text":"Pacific Northwest National Lab","active":true,"usgs":false}],"preferred":false,"id":815454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":815455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harwell, Matthew C. 0000-0001-6765-7857","orcid":"https://orcid.org/0000-0001-6765-7857","contributorId":248373,"corporation":false,"usgs":false,"family":"Harwell","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":49874,"text":"US EPA, Gulf Ecosystem Measurement & Modeling Division, Ctr for Envtl Measurement and Modeling","active":true,"usgs":false}],"preferred":false,"id":815456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LoSchiavo, Andrew J","contributorId":257981,"corporation":false,"usgs":false,"family":"LoSchiavo","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":815457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":815458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burdick, David M.","contributorId":208047,"corporation":false,"usgs":false,"family":"Burdick","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37687,"text":"Jackson Estuarine Laboratory, Univesity of New Hampshire, Durham, NH","active":true,"usgs":false}],"preferred":false,"id":815459,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Gary E.","contributorId":257982,"corporation":false,"usgs":false,"family":"Johnson","given":"Gary","email":"","middleInitial":"E.","affiliations":[{"id":52195,"text":"Pacific Northwest National Lab","active":true,"usgs":false}],"preferred":false,"id":815460,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buenau, Kate E. 0000-0003-2156-7260","orcid":"https://orcid.org/0000-0003-2156-7260","contributorId":257983,"corporation":false,"usgs":false,"family":"Buenau","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":52195,"text":"Pacific Northwest National Lab","active":true,"usgs":false}],"preferred":false,"id":815461,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trujillo, Elene 0000-0003-3721-9113","orcid":"https://orcid.org/0000-0003-3721-9113","contributorId":257984,"corporation":false,"usgs":false,"family":"Trujillo","given":"Elene","email":"","affiliations":[{"id":52198,"text":"Puget Sound Partnership","active":true,"usgs":false}],"preferred":false,"id":815462,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Callaway, John C. 0000-0002-7364-286X","orcid":"https://orcid.org/0000-0002-7364-286X","contributorId":205456,"corporation":false,"usgs":false,"family":"Callaway","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37110,"text":"Dept. of Environmental Science, University of San Francisco, 2130 Fulton St., San Francisco, CA 94117","active":true,"usgs":false}],"preferred":false,"id":815463,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thom, Ronald M. 0000-0002-8639-6709","orcid":"https://orcid.org/0000-0002-8639-6709","contributorId":257985,"corporation":false,"usgs":false,"family":"Thom","given":"Ronald","email":"","middleInitial":"M.","affiliations":[{"id":52195,"text":"Pacific Northwest National Lab","active":true,"usgs":false}],"preferred":false,"id":815464,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":815465,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Twilley, Robert R.","contributorId":34585,"corporation":false,"usgs":false,"family":"Twilley","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":815466,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70216772,"text":"70216772 - 2021 - Evaluation of seismic hazard models with fragile geologic features","interactions":[],"lastModifiedDate":"2021-01-19T16:04:47.842953","indexId":"70216772","displayToPublicDate":"2020-10-28T09:20:35","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of seismic hazard models with fragile geologic features","docAbstract":"

We provide an overview of a 2019 workshop on the use of fragile geologic features (FGFs) to evaluate seismic hazard models. FGFs have been scarcely utilized in the evaluation of seismic hazard models, despite nearly 30 yr having passed since the first recognition of their potential value. Recently, several studies have begun to focus on the implementation of FGFs in seismic hazard modeling. The workshop was held to capture a “snapshot” of the state‐of‐the‐art in FGF work and to define key research areas that would increase confidence in FGF‐based evaluation of seismic hazard models. It was held at the annual meeting of the Southern California Earthquake Center on 8 September 2019, and the conveners were Mark Stirling (University of Otago, New Zealand) and Michael Oskin (University of California, Davis). The workshop attracted 44 participants from a wide range of disciplines. The main topics of discussion were FGF fragility age estimation (age at which an FGF achieved its current fragile geometry), fragility estimation, FGF‐based evaluation of seismic hazard models, and ethical considerations relating to documentation and preservation of FGFs. There are now many scientists working on, or motivated to work on, FGFs, and more types of FGFs are being worked on than just the precariously balanced rock (PBR) variety. One of the ideas presented at the workshop is that fragility ages for FGFs should be treated stochastically rather than assuming that all share a common age. In a similar vein, new studies propose more comprehensive methods of fragility assessment beyond peak ground acceleration and peak ground velocity‐based approaches. Two recent studies that apply PBRs to evaluate probabilistic seismic hazard models use significantly different methods of evaluation. Key research needs identified from the workshop will guide future, focused efforts that will ultimately facilitate the uptake of FGFs in seismic hazard analysis.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200197","usgsCitation":"Stirling, M.W., Oskin, M., Arrowsmith, J., Rood, A.H., Goulet, C.A., Grant Ludwig, L., King, T., Kottke, A., Lozos, J.C., Madugo, C.L., McPhillips, D., Rood, D., Sleep, N., and Wittich, C., 2021, Evaluation of seismic hazard models with fragile geologic features: Seismological Research Letters, v. 92, no. 1, p. 314-324, https://doi.org/10.1785/0220200197.","productDescription":"11 p.","startPage":"314","endPage":"324","ipdsId":"IP-122054","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":381031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Stirling, Mark W.","contributorId":175118,"corporation":false,"usgs":false,"family":"Stirling","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":806159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oskin, Mike","contributorId":224309,"corporation":false,"usgs":false,"family":"Oskin","given":"Mike","affiliations":[{"id":40856,"text":"Univ. of Calif., Davis","active":true,"usgs":false}],"preferred":false,"id":806160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arrowsmith, J. Ramon","contributorId":245420,"corporation":false,"usgs":false,"family":"Arrowsmith","given":"J. Ramon","affiliations":[{"id":49190,"text":"Arizona","active":true,"usgs":false}],"preferred":false,"id":806161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rood, Anna H.","contributorId":245478,"corporation":false,"usgs":false,"family":"Rood","given":"Anna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":806162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":806163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grant Ludwig, Lisa","contributorId":245422,"corporation":false,"usgs":false,"family":"Grant Ludwig","given":"Lisa","email":"","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":806164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King, Tamarah","contributorId":220153,"corporation":false,"usgs":false,"family":"King","given":"Tamarah","email":"","affiliations":[{"id":40134,"text":"University of Melbourne, Melbourne, Australia","active":true,"usgs":false}],"preferred":false,"id":806166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kottke, Albert","contributorId":140539,"corporation":false,"usgs":false,"family":"Kottke","given":"Albert","affiliations":[],"preferred":false,"id":806268,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lozos, Julian C.","contributorId":146525,"corporation":false,"usgs":false,"family":"Lozos","given":"Julian","email":"","middleInitial":"C.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":806167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Madugo, Chris L M","contributorId":146602,"corporation":false,"usgs":false,"family":"Madugo","given":"Chris","email":"","middleInitial":"L M","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":806168,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":806169,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rood, Dylan","contributorId":167067,"corporation":false,"usgs":false,"family":"Rood","given":"Dylan","email":"","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":806171,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sleep, Norman","contributorId":245424,"corporation":false,"usgs":false,"family":"Sleep","given":"Norman","affiliations":[{"id":49192,"text":"Stanford","active":true,"usgs":false}],"preferred":false,"id":806172,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wittich, Christine","contributorId":245425,"corporation":false,"usgs":false,"family":"Wittich","given":"Christine","email":"","affiliations":[{"id":49193,"text":"Kansas","active":true,"usgs":false}],"preferred":false,"id":806173,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70215763,"text":"70215763 - 2021 - Possible effects of climate change on ixodid ticks and the pathogens they transmit: Predictions and observations","interactions":[],"lastModifiedDate":"2021-08-03T13:24:13.307903","indexId":"70215763","displayToPublicDate":"2020-10-28T07:47:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Possible effects of climate change on ixodid ticks and the pathogens they transmit: Predictions and observations","docAbstract":"

The global climate has been changing over the last century due to greenhouse gas emissions and will continue to change over this century, accelerating without effective global efforts to reduce emissions. Ticks and tick-borne diseases (TTBDs) are inherently climate-sensitive due to the sensitivity of tick lifecycles to climate. Key direct climate and weather sensitivities include survival of individual ticks, and the duration of development and host-seeking activity of ticks. These sensitivities mean that in some regions a warming climate may increase tick survival, shorten life-cycles and lengthen the duration of tick activity seasons. Indirect effects of climate change on host communities may, with changes in tick abundance, facilitate enhanced transmission of tick-borne pathogens. High temperatures, and extreme weather events (heat, cold, and flooding) are anticipated with climate change, and these may reduce tick survival and pathogen transmission in some locations. Studies of the possible effects of climate change on TTBDs to date generally project poleward range expansion of geographical ranges (with possible contraction of ranges away from the increasingly hot tropics), upslope elevational range spread in mountainous regions, and increased abundance of ticks in many current endemic regions. However, relatively few studies, using long-term (multi-decade) observations, provide evidence of recent range changes of tick populations that could be attributed to recent climate change. Further integrated ‘One Health’ observational and modeling studies are needed to detect changes in TTBD occurrence, attribute them to climate change, and to develop predictive models of public- and animal-health needs to plan for TTBD emergence.

","language":"English","publisher":"Entomological Society of America","doi":"10.1093/jme/tjaa220","usgsCitation":"Ogden, N.H., Beard, C.B., Ginsberg, H., and Tsao, J.I., 2021, Possible effects of climate change on ixodid ticks and the pathogens they transmit: Predictions and observations: Journal of Medical Entomology, v. 58, no. 4, p. 1536-1545, https://doi.org/10.1093/jme/tjaa220.","productDescription":"10 p.","startPage":"1536","endPage":"1545","ipdsId":"IP-121581","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":454330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjaa220","text":"Publisher Index Page"},{"id":379905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ogden, Nicholas H.","contributorId":147667,"corporation":false,"usgs":false,"family":"Ogden","given":"Nicholas","email":"","middleInitial":"H.","affiliations":[{"id":16890,"text":"Public Health Agency of Canada","active":true,"usgs":false}],"preferred":false,"id":803337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Charles B.","contributorId":148018,"corporation":false,"usgs":false,"family":"Beard","given":"Charles","email":"","middleInitial":"B.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":803338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":803339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":803340,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216439,"text":"70216439 - 2021 - Estimating the contribution of tributary sand inputs to controlled flood deposits for sandbar restoration using elemental tracers, Colorado River, Grand Canyon National Park, Arizona","interactions":[],"lastModifiedDate":"2021-05-14T11:50:15.092644","indexId":"70216439","displayToPublicDate":"2020-10-28T07:37:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the contribution of tributary sand inputs to controlled flood deposits for sandbar restoration using elemental tracers, Colorado River, Grand Canyon National Park, Arizona","docAbstract":"

Completion of Glen Canyon Dam in 1963 resulted in complete elimination of sediment delivery from the upstream Colorado River basin to Grand Canyon and nearly complete control of spring snowmelt floods responsible for creating channel and bar morphology. Management of the river ecosystem in Grand Canyon National Park now relies on dam-release floods to redistribute tributary-derived sediment accumulated on the channel bed to higher-elevation sandbars. Here, we used multivariate mixing analysis of sediment elemental compositions to evaluate the extent to which flood deposits derive from tributary-supplied sand compared to reworked, relict predam sediment. The concentrations of seven major and trace elements (Fe, Ca, K, Ti, Rb, Sr, and Zr) were measured in very fine−, fine-, and medium-grained sand from flood deposits using X-ray fluorescence and interpreted using a Bayesian mixing model to characterize the proportion of sand originating from the Paria River, the only major tributary within the study reach. Flood deposits from the 2013 and 2014 controlled floods contained 69% ± 16% and 84% ± 20% Paria River−derived material, respectively, with substantial variation among sites. Based on a sand mass balance, we calculated that under decreasing storage conditions since 1963, ∼77%−83% of the annual Paria River sand flux needs to be retained within the mass of active sand stored in Marble Canyon each year to reach the observed concentration of Paria River sand at sample locations. This finding suggests that the use of controlled floods may continue to be effective for sandbar maintenance, provided sand inputs from the Paria River do not decline.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35642.1","usgsCitation":"Chapman, K.A., Best, R.J., Smith, M.E., Mueller, E.R., Grams, P.E., and Parnell, R., 2021, Estimating the contribution of tributary sand inputs to controlled flood deposits for sandbar restoration using elemental tracers, Colorado River, Grand Canyon National Park, Arizona: Geological Society of America Bulletin, v. 133, no. 5-6, p. 1141-1156, https://doi.org/10.1130/B35642.1.","productDescription":"16 p.","startPage":"1141","endPage":"1156","ipdsId":"IP-116064","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":436648,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C0IN56","text":"USGS data release","linkHelpText":"Tributary sand input data, Colorado River, Grand Canyon National Park, Arizona"},{"id":380590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.027099609375,\n 35.71083783530009\n ],\n [\n -111.258544921875,\n 35.71083783530009\n ],\n [\n -111.258544921875,\n 36.958671131530316\n ],\n [\n -114.027099609375,\n 36.958671131530316\n ],\n [\n -114.027099609375,\n 35.71083783530009\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"133","issue":"5-6","noUsgsAuthors":false,"publicationDate":"2020-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Katherine A. kchapman@usgs.gov","contributorId":5368,"corporation":false,"usgs":true,"family":"Chapman","given":"Katherine","email":"kchapman@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":805134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Rebecca J.","contributorId":198804,"corporation":false,"usgs":false,"family":"Best","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":805135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, M. Elliot","contributorId":255572,"corporation":false,"usgs":false,"family":"Smith","given":"M.","email":"","middleInitial":"Elliot","affiliations":[],"preferred":false,"id":805136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mueller, Erich R. 0000-0001-8202-154X emueller@usgs.gov","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":4930,"corporation":false,"usgs":true,"family":"Mueller","given":"Erich","email":"emueller@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":812614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":812615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parnell, Roderic A.","contributorId":41922,"corporation":false,"usgs":true,"family":"Parnell","given":"Roderic A.","affiliations":[],"preferred":false,"id":812616,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}