{"pageNumber":"459","pageRowStart":"11450","pageSize":"25","recordCount":165459,"records":[{"id":70228925,"text":"70228925 - 2021 - Accounting for dispersal and local habitat when evaluating tributary use by riverine fishes","interactions":[],"lastModifiedDate":"2022-12-13T15:20:58.420846","indexId":"70228925","displayToPublicDate":"2021-08-09T12:54:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for dispersal and local habitat when evaluating tributary use by riverine fishes","docAbstract":"Conservation practitioners increasingly recognize the conservation value of tributaries for supporting mainstem, large-river specialist fishes. A tributarys discharge at its mouth is a coarse indicator of large-river specialist fishes found within the tributary, but the relative influences of regional dispersal and local habitat underpinning this species-discharge relationship is often unknown.  We sampled large-river specialist fishes at sites within two nonwadeable tributaries of the Missouri and Mississippi rivers with contrasting prairie (Grand River) versus upland (Meramec River) habitats to address four research questions: (1) do mean site-level species richness (alpha diversity) and beta diversity (among-site species compositional differences) vary between tributaries? (2) does mean annual discharge correlate with local habitat and downriver distance to mainstem rivers (i.e., mainstem connectivity)? (3) are slopes of species-discharge relationships consistent between tributaries? and (4) do local habitat and downriver distance explain residual richness at sites beyond variation already explained by species-discharge relationships? We detected 30 of 42 potential large-river specialist fishes, demonstrating most mainstem species use tributaries. Mean site-level richness was higher in the Grand River (12.5 species versus 9.8 species in Meramec River), but partitioning of lower reaches (sites < 116 km from river mouth) and dispersal limitation in upper reaches (sites  116 km from river mouth) caused Meramec River beta diversity to be three times higher. Mean annual discharge correlated with habitat availability at sites and downriver distance. Although site-level alpha richness increased with discharge in both tributaries, slopes of species-discharge relationships varied between tributaries. Analyzing species-discharge residuals revealed downriver distance explained additional variation in site-level richness not accounted for by local discharge. For example, discharge alone underrepresented richness in lower-discharge, accessible sites (maximum underestimate = 8.7 species) and overrepresented richness in isolated sites (maximum overestimate = 5.8 species). Thus, predictive performance of species-discharge relationships can be improved by accounting for varying habitats among tributaries and downriver distance of sites when valuing tributaries for fishes with dispersal-dependent life cycles.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3711","usgsCitation":"Dunn, C., and Paukert, C.P., 2021, Accounting for dispersal and local habitat when evaluating tributary use by riverine fishes: Ecosphere, v. 12, no. 8, e03711, 22 p., https://doi.org/10.1002/ecs2.3711.","productDescription":"e03711, 22 p.","ipdsId":"IP-119297","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":451236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3711","text":"Publisher Index Page"},{"id":396446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.545006,36.336809],[-89.605668,36.342234],[-89.615841,36.336085],[-89.620255,36.323006],[-89.611819,36.309088],[-89.578492,36.288317],[-89.554289,36.277751],[-89.539487,36.277368],[-89.534507,36.261802],[-89.539229,36.248821],[-89.562206,36.250909],[-89.577544,36.242262],[-89.602374,36.238106],[-89.642182,36.249486],[-89.678046,36.248284],[-89.695235,36.252766],[-89.705328,36.239898],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.59307,36.129699],[-89.601936,36.11947],[-89.666598,36.095802],[-89.678821,36.084636],[-89.688577,36.029238],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.34909,36.040131],[-90.339343,36.047112],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.266256,36.120559],[-90.235585,36.139474],[-90.231386,36.147348],[-90.23537,36.159153],[-90.220425,36.184764],[-90.21128,36.183392],[-90.188189,36.20536],[-90.152497,36.215582],[-90.14224,36.227522],[-90.126366,36.229367],[-90.130114,36.240307],[-90.118219,36.253491],[-90.114922,36.265595],[-90.086471,36.271531],[-90.06398,36.303038],[-90.081961,36.322097],[-90.074074,36.342895],[-90.077695,36.348478],[-90.066297,36.3593],[-90.064514,36.382085],[-90.078671,36.399116],[-90.138512,36.413952],[-90.134231,36.422827],[-90.143743,36.424433],[-90.143798,36.428483],[-90.134136,36.436602],[-90.137323,36.455411],[-90.141101,36.461791],[-90.155804,36.463555],[-90.152888,36.47093],[-90.142222,36.470554],[-90.143683,36.476029],[-90.158838,36.479558],[-90.159305,36.492446],[-90.152481,36.497952],[-94.617919,36.499414],[-94.617975,37.722176],[-94.607354,39.113444],[-94.589933,39.140403],[-94.591933,39.155003],[-94.608834,39.160503],[-94.640035,39.153103],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.741938,39.170203],[-94.763138,39.179903],[-94.781518,39.206146],[-94.811663,39.206594],[-94.831679,39.215938],[-94.835056,39.220658],[-94.825663,39.241729],[-94.831471,39.256273],[-94.84632,39.268481],[-94.887056,39.28648],[-94.905329,39.311952],[-94.910017,39.352543],[-94.88136,39.370383],[-94.879281,39.37978],[-94.885026,39.389801],[-94.901823,39.392798],[-94.92311,39.384492],[-94.942039,39.389499],[-94.946293,39.405646],[-94.972952,39.421705],[-94.982144,39.440552],[-95.0375,39.463689],[-95.045716,39.472459],[-95.052177,39.499996],[-95.082714,39.516712],[-95.109304,39.542285],[-95.113077,39.559133],[-95.103228,39.577783],[-95.089515,39.581028],[-95.064519,39.577115],[-95.049277,39.589583],[-95.046361,39.599557],[-95.055152,39.621657],[-95.053367,39.630347],[-95.027644,39.665454],[-95.018318,39.672869],[-94.984149,39.67785],[-94.971317,39.68641],[-94.971206,39.729305],[-94.965318,39.739065],[-94.948726,39.745593],[-94.902612,39.724202],[-94.875643,39.730494],[-94.862943,39.742994],[-94.860743,39.763094],[-94.869644,39.772894],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.929654,39.788282],[-94.884084,39.794234],[-94.875944,39.813294],[-94.878677,39.826522],[-94.886933,39.833098],[-94.916918,39.836138],[-94.942567,39.856602],[-94.928466,39.876344],[-94.929574,39.888754],[-94.95154,39.900533],[-94.986975,39.89667],[-95.00844,39.900596],[-95.024389,39.891202],[-95.027931,39.871522],[-95.037767,39.865542],[-95.085003,39.861883],[-95.128166,39.874165],[-95.140601,39.881688],[-95.143802,39.901918],[-95.149657,39.905948],[-95.179453,39.900062],[-95.199347,39.902709],[-95.206326,39.912121],[-95.20069,39.928155],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.387195,40.02677],[-95.40726,40.033112],[-95.416824,40.043235],[-95.42164,40.058952],[-95.409856,40.07432],[-95.407591,40.09803],[-95.394216,40.108263],[-95.39284,40.115887],[-95.398667,40.126419],[-95.428749,40.135577],[-95.436348,40.15872],[-95.460746,40.169173],[-95.479193,40.185652],[-95.482757,40.197346],[-95.469718,40.227908],[-95.477501,40.24272],[-95.490333,40.248966],[-95.521925,40.24947],[-95.552473,40.261904],[-95.556325,40.267714],[-95.550966,40.285947],[-95.562157,40.297359],[-95.581787,40.29958],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.653729,40.322582],[-95.625204,40.334288],[-95.623728,40.346567],[-95.641027,40.366399],[-95.643934,40.386849],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.652262,40.538114],[-95.655848,40.546609],[-95.671754,40.562626],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69505,40.533124],[-95.708591,40.521551],[-95.722444,40.528118],[-95.75711,40.52599],[-95.769281,40.536656],[-95.763366,40.550797],[-95.773549,40.578205],[-95.765645,40.585208],[-94.632035,40.571186],[-94.080463,40.572899],[-92.689854,40.589884],[-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 \"}}]}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Corey G.","contributorId":275809,"corporation":false,"usgs":false,"family":"Dunn","given":"Corey G.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":835917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835918,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223273,"text":"70223273 - 2021 - Changes in organic carbon source and storage with sea level rise-induced transgression in a Chesapeake Bay marsh","interactions":[],"lastModifiedDate":"2021-08-19T15:34:52.390789","indexId":"70223273","displayToPublicDate":"2021-08-09T10:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Changes in organic carbon source and storage with sea level rise-induced transgression in a Chesapeake Bay marsh","docAbstract":"<p><span>Organic matter (OM) accumulation in&nbsp;</span>marsh<span>&nbsp;soils affects marsh survival under rapid sea-level rise (SLR). This work describes the changing&nbsp;organic geochemistry&nbsp;of a&nbsp;salt marsh&nbsp;located in the Blackwater National Wildlife Refuge on the eastern shore of Chesapeake Bay that has transgressed inland with SLR over the past 35–75 years. Marsh soils and vegetation were sampled along an elevation gradient from the&nbsp;intertidal zone&nbsp;to the adjacent forest, representing a space-for-time substitution of the process of marsh transgression. Stable carbon isotope analysis of bulk OM gives evidence for a transition from C3 upland-sourced OM to C4-dominated marsh vegetation over time. The vegetative source of the OM changes along a marsh-upland mixing line from herbaceous angiosperm-sourced lignin in the lower elevation marsh to a woody&nbsp;gymnosperm&nbsp;signature at the upper border of the marsh. The results of&nbsp;stable isotope&nbsp;and lignin analyses illustrate that landward encroachment of marsh grasses results in deposition of herbaceous tissues exhibiting relatively little decay. This presents a possible mechanism for OM stabilization as marshes migrate inland.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107550","usgsCitation":"Van Allen, R., Schreiner, K.M., Guntenspergen, G.R., and Carlin, J.A., 2021, Changes in organic carbon source and storage with sea level rise-induced transgression in a Chesapeake Bay marsh: Estuaries and Coasts, v. 261, 107550, 11 p., https://doi.org/10.1016/j.ecss.2021.107550.","productDescription":"107550, 11 p.","ipdsId":"IP-103097","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":436246,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97H1N4E","text":"USGS data release","linkHelpText":"Changes in Organic Carbon Source and Storage with Sea Level Rise-Induced Transgression in a Chesapeake Bay Marsh"},{"id":388155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.19430541992188,\n              38.37396220263095\n            ],\n            [\n              -75.99655151367188,\n              38.37396220263095\n            ],\n            [\n              -75.99655151367188,\n              38.47509432050245\n            ],\n            [\n              -76.19430541992188,\n              38.47509432050245\n            ],\n            [\n              -76.19430541992188,\n              38.37396220263095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"261","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Allen, Rachel","contributorId":264468,"corporation":false,"usgs":false,"family":"Van Allen","given":"Rachel","email":"","affiliations":[{"id":34699,"text":"University of Minnesota-Duluth","active":true,"usgs":false}],"preferred":false,"id":821564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreiner, Kathryn M.","contributorId":201540,"corporation":false,"usgs":false,"family":"Schreiner","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[{"id":36192,"text":"Large Lakes Observatory, University of Minnesota Duluth, Duluth, Minnesota, USA.","active":true,"usgs":false}],"preferred":false,"id":821565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":821566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carlin, Joseph A.","contributorId":200295,"corporation":false,"usgs":false,"family":"Carlin","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":821567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229743,"text":"70229743 - 2021 - Assessing potential stock structure of adult Coho Salmon in a small Alaska watershed: Quantifying run timing, spawning locations, and holding areas with radiotelemetry","interactions":[],"lastModifiedDate":"2022-03-16T15:16:43.28318","indexId":"70229743","displayToPublicDate":"2021-08-09T10:09:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential stock structure of adult Coho Salmon in a small Alaska watershed: Quantifying run timing, spawning locations, and holding areas with radiotelemetry","docAbstract":"<p><span>Run timing and spatial locations of spawning habitats are often used to identify stocks for conservation planning or management of salmonid fishes. Although complex stock structure is most common within large watersheds with diverse habitats, even small drainages can produce multiple co-occurring spatially or temporally isolated populations or “stocks.” This project sought to address the potential existence of stock structure of Coho Salmon&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;in a small coastal watershed on Kodiak, Alaska that supports vital subsistence and recreational fisheries and is currently managed as a single stock. We radio-tagged a total of 348 adult Coho Salmon upon freshwater entry into the Buskin River across three spawning seasons (2015–2017) and tracked in-river movements to the final locations where mortality signals were recorded. We identified two primary spawning habitats within the system: main-stem and lake tributaries, with 54% (range of 47% to 61%) of tagged fish with determined fates tracked to main-stem river spawning areas and 46% (range 39% to 53%) presumably spawning in small tributaries of the 1-km</span><sup>2</sup><span>&nbsp;Buskin Lake at the headwater of the watershed. Despite distinct spatial differences in spawning locations, main-stem and tributary spawners did not differ in migration timing into freshwater (difference in run timing of main-stem versus tributary spawners&nbsp;=&nbsp;1&nbsp;d) nor body size (main-stem mean body length, mideye to tail fork = 625&nbsp;mm, tributary mean&nbsp;=&nbsp;613&nbsp;mm). Unexpectedly, we determined nearly 70% of all Coho Salmon spent at least some time in Buskin Lake, including 54% of main-stem spawners, suggesting a potential role of Buskin Lake as an important staging habitat for premature migrating adult Coho Salmon who enter freshwater in advance of final maturation. We also identified areas consistently used for holding prior to spawning that could be used in spatial management planning and during times of necessary conservation to ensure integrity of the stock for the future.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10658","usgsCitation":"Stratton, M.E., Finkle, H., Falke, J.A., and Westley, P., 2021, Assessing potential stock structure of adult Coho Salmon in a small Alaska watershed: Quantifying run timing, spawning locations, and holding areas with radiotelemetry: North American Journal of Fisheries Management, v. 41, no. 5, p. 1423-1435, https://doi.org/10.1002/nafm.10658.","productDescription":"13 p.","startPage":"1423","endPage":"1435","ipdsId":"IP-128616","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":397157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Buskin River Watershed, Kodiak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.6049041748047,\n              57.73623401472855\n            ],\n            [\n              -152.46414184570312,\n              57.73623401472855\n            ],\n            [\n              -152.46414184570312,\n              57.79666314942287\n            ],\n            [\n              -152.6049041748047,\n              57.79666314942287\n            ],\n            [\n              -152.6049041748047,\n              57.73623401472855\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton, M. E.","contributorId":288653,"corporation":false,"usgs":false,"family":"Stratton","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":61459,"text":"afg","active":true,"usgs":false}],"preferred":false,"id":838164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finkle, H.","contributorId":288654,"corporation":false,"usgs":false,"family":"Finkle","given":"H.","affiliations":[{"id":61459,"text":"afg","active":true,"usgs":false}],"preferred":false,"id":838165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westley, P. A. H.","contributorId":288655,"corporation":false,"usgs":false,"family":"Westley","given":"P. A. H.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":838166,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70225163,"text":"70225163 - 2021 - Dynamics of green and blue water supply stress index across major global cropland basins","interactions":[],"lastModifiedDate":"2021-10-15T13:17:02.510615","indexId":"70225163","displayToPublicDate":"2021-08-09T08:13:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7749,"text":"Frontiers in Climate","active":true,"publicationSubtype":{"id":10}},"title":"Dynamics of green and blue water supply stress index across major global cropland basins","docAbstract":"<p><span>Global food and water insecurity could be serious problems in the upcoming decades with growing demands from the increasing global population and more frequent effect of climatic extremes. As the available water resources are diminishing and facing continuous stress, it is crucial to monitor water demand and water availability to understand the associated water stresses. This study assessed the water stress by applying the water supply stress index (WaSSI) in relation to green (WaSSI</span><sub>G</sub><span>) and blue (WaSSI</span><sub>B</sub><span>) water resources across six major cropland basins including the Mississippi (North America), San Francisco (South America), Nile (Africa), Danube (Europe), Ganges-Brahmaputra (Asia), and Murray-Darling (Australia) for the past 17-years (2003–2019). The WaSSI</span><sub>G</sub><span>&nbsp;and WaSSI</span><sub>B</sub><span>&nbsp;results indicated that the Murray-Darling Basin experienced the most severe (maximum WaSSI</span><sub>G</sub><span>&nbsp;and WaSSI</span><sub>B</sub><span>&nbsp;anomalies) green and blue water stresses and the Mississippi Basin had the least. All basins had both green and blue water stresses for at least 35% (6 out of 17 years) of the study period. The interannual variations in green water stress were driven by both crop water demand and green water supply, whereas the blue water stress variations were primarily driven by blue water supply. The WaSSI</span><sub>G</sub><span>&nbsp;and WaSSI</span><sub>B</sub><span>&nbsp;provided a better understanding of water stress (blue or green) and their drivers (demand or supply driven) across cropland basins. This information can be useful for basin-specific resource mobilization and interventions to ensure food and water security.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fclim.2021.663444","usgsCitation":"Khand, K., Senay, G.B., Kagone, S., and Parrish, G.E., 2021, Dynamics of green and blue water supply stress index across major global cropland basins: Frontiers in Climate, v. 3, 663444, 13 p., https://doi.org/10.3389/fclim.2021.663444.","productDescription":"663444, 13 p.","ipdsId":"IP-125893","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fclim.2021.663444","text":"Publisher Index Page"},{"id":390567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Khand, Kul Bikram 0000-0002-1593-1508","orcid":"https://orcid.org/0000-0002-1593-1508","contributorId":259185,"corporation":false,"usgs":false,"family":"Khand","given":"Kul Bikram","affiliations":[{"id":52326,"text":"AFDS, Contractor to USGS ERSOS Center","active":true,"usgs":false}],"preferred":false,"id":825216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":825217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":825218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Gabriel Edwin Lee 0000-0003-4078-3516","orcid":"https://orcid.org/0000-0003-4078-3516","contributorId":267751,"corporation":false,"usgs":false,"family":"Parrish","given":"Gabriel","email":"","middleInitial":"Edwin Lee","affiliations":[{"id":55490,"text":"Innovate! Inc., Contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":825219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223380,"text":"70223380 - 2021 - Integrating telemetry data at several scales with spatial capture–recapture to improve density estimates","interactions":[],"lastModifiedDate":"2021-08-25T13:01:10.970191","indexId":"70223380","displayToPublicDate":"2021-08-09T07:59:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrating telemetry data at several scales with spatial capture–recapture to improve density estimates","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Accurate population estimates are essential for monitoring and managing wildlife populations. Mark–recapture sampling methods have regularly been used to estimate population parameters for rare and cryptic species, including the federally listed Mojave desert tortoise (<i>Gopherus agassizii</i>); however, the methods employed are often plagued by violations of statistical assumptions, which have the potential to bias density estimates. By incorporating spatial information into conventional density estimation models, spatial capture–recapture (SCR) models can account for common assumption violations such as spatially heterogeneous detection probabilities and temporary emigration when animals leave plots during a survey. We conducted mark–recapture surveys at 10 1-km<sup>2</sup><span>&nbsp;</span>plots in and adjacent to the Ivanpah Valley of California and Nevada from 2015 to 2019. Locality data were collected concurrently using radio-telemetry and GPS data loggers. GPS data demonstrated that desert tortoises frequently exhibited temporary emigration outside a plot during the survey periods, thereby complicating standard approaches for closed-model density estimation. We integrated mark–recapture survey data for subadults and adults at each plot with corresponding spatial capture locations and supplementary spatial data using a modified SCR model fitted in a Bayesian framework. We compared density estimates modeled with conventional non-spatial methods, as well as three SCR models based on symmetrical usage areas described by various levels and types of supplementary spatial data. The conventional model consistently resulted in inflated estimates of density while the SCR models allowed us to generate spatially corrected estimates for a species where detectability and densities are low. However, we found that if not properly specified, the temporal scale of supplementary data may result in an unintended source of bias in parameter estimates. Integrating spatial data over a larger temporal scale than mark–recapture surveys were conducted resulted in higher detection probabilities and lower density estimates, due to an overestimation of space use. Our results not only demonstrate the importance of accounting for spatial information but also the value of understanding the potential for bias when integrating multiple data sets at different temporal resolutions. The methods presented can be used to enhance monitoring efforts for the Mojave desert tortoise and other species where mark–recapture methods are used.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3689","usgsCitation":"Mitchell, C.I., Shoemaker, K.T., Esque, T., Vandergast, A.G., Hromada, S.J., Dutcher, K.E., Heaton, J.S., and Nussear, K.E., 2021, Integrating telemetry data at several scales with spatial capture–recapture to improve density estimates: Ecosphere, v. 12, no. 8, e03689, 23 p., https://doi.org/10.1002/ecs2.3689.","productDescription":"e03689, 23 p.","ipdsId":"IP-127713","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3689","text":"Publisher Index Page"},{"id":388475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.587158203125,\n              35.092945313732635\n            ],\n            [\n              -114.730224609375,\n              35.092945313732635\n            ],\n            [\n              -114.730224609375,\n              35.782170703266075\n            ],\n            [\n              -115.587158203125,\n              35.782170703266075\n            ],\n            [\n              -115.587158203125,\n              35.092945313732635\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Mitchell, Corey I","contributorId":245149,"corporation":false,"usgs":false,"family":"Mitchell","given":"Corey","email":"","middleInitial":"I","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":821891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shoemaker, Kevin T. 0000-0002-3789-3856","orcid":"https://orcid.org/0000-0002-3789-3856","contributorId":255290,"corporation":false,"usgs":false,"family":"Shoemaker","given":"Kevin","email":"","middleInitial":"T.","affiliations":[{"id":51513,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno. 1664 N Virginia St, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":821892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hromada, Steven J.","contributorId":245147,"corporation":false,"usgs":false,"family":"Hromada","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":821895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dutcher, Kirsten E.","contributorId":221063,"corporation":false,"usgs":false,"family":"Dutcher","given":"Kirsten","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":821896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Heaton, Jill S.","contributorId":175155,"corporation":false,"usgs":false,"family":"Heaton","given":"Jill","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":821897,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":821898,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70224322,"text":"70224322 - 2021 - Corticosterone mediates a growth-survival tradeoff for an amphibian exposed to increased salinity","interactions":[],"lastModifiedDate":"2021-09-22T12:12:24.299778","indexId":"70224322","displayToPublicDate":"2021-08-09T07:10:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2279,"text":"Journal of Experimental Zoology Part A: Comparative Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Corticosterone mediates a growth-survival tradeoff for an amphibian exposed to increased salinity","docAbstract":"<div class=\"article-section__content en main\"><p>Life-history tradeoffs are common across taxa, but growth-survival tradeoffs—usually enhancing survival at a cost to growth—are less frequently investigated. Increased salinity (NaCl) is a prevalent anthropogenic disturbance that may cause a growth-survival tradeoff for larval amphibians. Although physiological mechanisms mediating tradeoffs are seldom investigated, hormones are prime candidates. Corticosterone (CORT) is a steroid hormone that independently influences survival and growth and may provide mechanistic insight into growth-survival tradeoffs. We conducted a 24-day experiment to test effects of salinity (&lt;32–4000 mg/L) on growth, development, survival, CORT responses, and tradeoffs among traits of larval Northern Leopard Frogs (<i>Rana pipiens</i>). We also experimentally suppressed CORT signaling to determine whether CORT signaling mediates effects of salinity and a growth-survival tradeoff. Increased salinity reduced survival, growth, and development. Suppressing CORT signaling in conjunction with salinity reduced survival further but also attenuated the negative effects of salinity on growth, development, and water content. CORT of control larvae increased or was stable with growth and development but decreased with growth and development for those exposed to salinity. Therefore, salinity dysregulated CORT physiology. Across all treatments, larvae that survived had higher CORT than larvae that died. By manipulating CORT signaling, we provide strong evidence that CORT physiology mediates the outcome of a growth-survival tradeoff and enhances survival. To our knowledge, this is the first study to concomitantly measure tradeoffs between growth and survival and experimentally link these changes to CORT physiology. Identifying mechanistic links between stressors and fitness-related outcomes is critical to enhance our understanding of tradeoffs.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/jez.2535","usgsCitation":"Tornabene, B., Hossack, B., Crespi, E., and Breuner, C., 2021, Corticosterone mediates a growth-survival tradeoff for an amphibian exposed to increased salinity: Journal of Experimental Zoology Part A: Comparative Experimental Biology, v. 335, no. 8, p. 703-715, https://doi.org/10.1002/jez.2535.","productDescription":"13 p.","startPage":"703","endPage":"715","ipdsId":"IP-126320","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":389588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"335","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tornabene, BJ","contributorId":265926,"corporation":false,"usgs":false,"family":"Tornabene","given":"BJ","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":823750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":823751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crespi, EJ","contributorId":265927,"corporation":false,"usgs":false,"family":"Crespi","given":"EJ","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":823752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breuner, CW","contributorId":265928,"corporation":false,"usgs":false,"family":"Breuner","given":"CW","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":823753,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223920,"text":"70223920 - 2021 - Hawai‘i forest review: Synthesizing the ecology, evolution, and conservation of a model system","interactions":[],"lastModifiedDate":"2021-09-14T12:02:07.510361","indexId":"70223920","displayToPublicDate":"2021-08-08T06:56:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3033,"text":"Perspectives in Plant Ecology, Evolution and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Hawai‘i forest review: Synthesizing the ecology, evolution, and conservation of a model system","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0085\">As the most remote archipelago in the world, the Hawaiian Islands are home to a highly endemic and disharmonic biota that has fascinated biologists for centuries. Forests are the dominant terrestrial biome in Hawai‘i, spanning complex, heterogeneous climates across substrates that vary tremendously in age, soil structure, and nutrient availability. Species richness is low in Hawaiian forests compared to other tropical forests, as a consequence of dispersal limitation from continents and adaptive radiations in only some lineages, and forests are dominated by the widespread<span>&nbsp;</span><i>Metrosideros</i><span>&nbsp;</span>species complex. Low species richness provides a relatively tractable model system for studies of community assembly, local adaptation, and species interactions. Moreover, Hawaiian forests provide insights into predicted patterns of evolution on islands, revealing that while some evidence supports “island syndromes,” there are exceptions to them all. For example, Hawaiian plants are not as a whole less defended against herbivores, less dispersible, more conservative in resource use, or more slow-growing than their continental relatives. Clearly, more work is needed to understand the drivers, sources, and constraints on phenotypic variation among Hawaiian species, including both widespread and rare species, and to understand the role of this variation for ecological and evolutionary processes, which will further contribute to conservation of this unique biota. Today, Hawaiian forests are among the most threatened globally. Resource management failures – the proliferation of non-native species in particular – have led to devastating declines in native taxa and resulted in dominance by novel species assemblages. Conservation and restoration of Hawaiian forests now rely on managing threats including climate change, ongoing species introductions, novel pathogens, lost mutualists, and altered ecosystem dynamics through the use of diverse tools and strategies grounded in basic ecological, evolutionary, and biocultural principles. The future of Hawaiian forests thus depends on the synthesis of ecological and evolutionary research, which will continue to inform future conservation and restoration practices.</p></div></div></div>","language":"English","publisher":"Elesevier","doi":"10.1016/j.ppees.2021.125631","usgsCitation":"Barton, K., Westerband, A., Ostertag, R., Stacy, E., Winter, K., Drake, D., Fortini, L., Litton, C.M., Cordell, S., Krushelnycky, P., Kawelo, K., Feliciano, K., Bennett, G., and Knight, T., 2021, Hawai‘i forest review: Synthesizing the ecology, evolution, and conservation of a model system: Perspectives in Plant Ecology, Evolution and Systematics, v. 52, 125631, 32 p., https://doi.org/10.1016/j.ppees.2021.125631.","productDescription":"125631, 32 p.","ipdsId":"IP-124143","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":451250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ppees.2021.125631","text":"Publisher Index Page"},{"id":389202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Paul","contributorId":265727,"corporation":false,"usgs":false,"family":"Krushelnycky","given":"Paul","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":823266,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kawelo, Kapua","contributorId":265728,"corporation":false,"usgs":false,"family":"Kawelo","given":"Kapua","email":"","affiliations":[{"id":54778,"text":"DOD/Army","active":true,"usgs":false}],"preferred":false,"id":823267,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Feliciano, Kealoha","contributorId":265730,"corporation":false,"usgs":false,"family":"Feliciano","given":"Kealoha","email":"","affiliations":[{"id":54779,"text":"German Center for Integrative Biodiversity","active":true,"usgs":false}],"preferred":false,"id":823268,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bennett, 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,{"id":70228848,"text":"70228848 - 2021 - Improving evaluation of nonlethal tools for carnivore management and conservation: Evaluating fladry to protect an endangered species from a generalist mesocarnivore","interactions":[],"lastModifiedDate":"2022-02-23T16:03:34.053149","indexId":"70228848","displayToPublicDate":"2021-08-07T09:54:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Improving evaluation of nonlethal tools for carnivore management and conservation: Evaluating fladry to protect an endangered species from a generalist mesocarnivore","docAbstract":"<p>Carnivore conservation and management are global research priorities focused on reversing population declines of imperiled species and identifying more effective and humane management of generalist carnivores with thriving populations. Nonlethal methods to mitigate conflict are increasingly used to advance conservation objectives; however, there is limited knowledge about the effectiveness of many nonlethal methods. We tested a nonlethal tool (fladry), that serves as a barrier to deter wolves<span>&nbsp;</span><i>Canis lupus</i><span>&nbsp;</span>and coyotes<span>&nbsp;</span><i>Canis latrans</i>, for its efficacy at preventing coyotes from using prairie dog<span>&nbsp;</span><i>Cynomys ludovicianus</i><span>&nbsp;</span>colonies, the primary prey for critically endangered black-footed ferrets<span>&nbsp;</span><i>Mustela nigripes</i>. We used camera trap data and an occupancy approach to evaluate the tool’s efficacy. We measured coyote response to fladry at both a coarse monthly scale (via use, attraction and avoidance probabilities) and a fine scale (via daily activity). Overall, use of areas inside exclosures declined by 60% after 60 days of fladry application and coyotes avoided some previously used areas both within and outside exclosures. Interestingly, coyotes were attracted to previously unused areas surrounding exclosures and increased activity around the periphery of fladry exclosures by 170% immediately after fladry installation, suggesting coyotes actively explored these areas and may have responded to fladry in a way that is counterintuitive to management expectations. Occupancy models provided more robust evaluation of fladry and revealed important behavioral responses relative to other common evaluation techniques (i.e. time until first detected crossing). Our results have implications for future development and evaluation of nonlethal tools for carnivore conservation and management globally.</p>","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12726","usgsCitation":"Windell, R., Bailey, L., Young, J.K., Livieri, T.M., Eads, D.A., and Breck, S., 2021, Improving evaluation of nonlethal tools for carnivore management and conservation: Evaluating fladry to protect an endangered species from a generalist mesocarnivore: Animal Conservation, v. 25, no. 1, p. 125-136, https://doi.org/10.1111/acv.12726.","productDescription":"12 p.","startPage":"125","endPage":"136","ipdsId":"IP-117480","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park, Buffalo Gap National 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Vincenzo","contributorId":280007,"corporation":false,"usgs":false,"family":"Penteriani","given":"Vincenzo","email":"","affiliations":[],"preferred":false,"id":835841,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ordiz, Andrés","contributorId":280008,"corporation":false,"usgs":false,"family":"Ordiz","given":"Andrés","affiliations":[],"preferred":false,"id":835842,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Windell, Rebecca","contributorId":279885,"corporation":false,"usgs":false,"family":"Windell","given":"Rebecca","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Julie K.","contributorId":196299,"corporation":false,"usgs":false,"family":"Young","given":"Julie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":835694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, Travis M.","contributorId":198977,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science 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,{"id":70223880,"text":"70223880 - 2021 - Evaluating the migration mortality hypothesis using monarch tagging data","interactions":[],"lastModifiedDate":"2021-09-14T11:35:01.272469","indexId":"70223880","displayToPublicDate":"2021-08-07T08:39:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the migration mortality hypothesis using monarch tagging data","docAbstract":"<p><span>The decline in the eastern North American population of the monarch butterfly population since the late 1990s has been attributed to the loss of milkweed during the summer breeding season and the consequent reduction in the size of the summer population that migrates to central Mexico to overwinter (milkweed limitation hypothesis). However, in some studies the size of the summer population was not found to decline and was not correlated with the size of the overwintering population. The authors of these studies concluded that milkweed limitation could not explain the overwintering population decline. They hypothesized that increased mortality during fall migration was responsible (migration mortality hypothesis). We used data from the long-term monarch tagging program, managed by Monarch Watch, to examine three predictions of the migration mortality hypothesis: (1) that the summer population size is not correlated with the overwintering population size, (2) that migration success is the main determinant of overwintering population size, and (3) that migration success has declined over the last two decades. As an index of the summer population size, we used the number of wild-caught migrating individuals tagged in the U.S. Midwest from 1998 to 2015. As an index of migration success we used the recovery rate of Midwest tagged individuals in Mexico. With regard to the three predictions: (1) the number of tagged individuals in the Midwest, explained 74% of the variation in the size of the overwintering population. Other measures of summer population size were also correlated with overwintering population size. Thus, there is no disconnection between late summer and winter population sizes. (2) Migration success was not significantly correlated with overwintering population size, and (3) migration success did not decrease during this period. Migration success was correlated with the level of greenness of the area in the southern U.S. used for nectar by migrating butterflies. Thus, the main determinant of yearly variation in overwintering population size is summer population size with migration success being a minor determinant. Consequently, increasing milkweed habitat, which has the potential of increasing the summer monarch population, is the conservation measure that will have the greatest impact.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2020.00264","usgsCitation":"Taylor, O.R., Pleasants, J., Grundel, R., Pecoraro, S., Lovett, J.P., and Ryan, A., 2021, Evaluating the migration mortality hypothesis using monarch tagging data: Frontiers in Ecology and Evolution, v. 8, 264, 13 p., https://doi.org/10.3389/fevo.2020.00264.","productDescription":"264, 13 p.","ipdsId":"IP-106646","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2020.00264","text":"Publisher Index Page"},{"id":389143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.0,\n              40\n            ],\n            [\n              -60.0,\n              40\n            ],\n            [\n              -60.00,\n              50.0\n            ],\n            [\n              -100.0,\n              50.0\n            ],\n            [\n              -100.0,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Orley R.","contributorId":168617,"corporation":false,"usgs":false,"family":"Taylor","given":"Orley","email":"","middleInitial":"R.","affiliations":[{"id":25342,"text":"Department of Ecology and Evolutionary Biology, University of Kansas","active":true,"usgs":false}],"preferred":false,"id":823073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pleasants, John M.","contributorId":168616,"corporation":false,"usgs":false,"family":"Pleasants","given":"John M.","affiliations":[{"id":25341,"text":"Department of Ecology, Evolution, and Organismal Biology, Iowa State University","active":true,"usgs":false}],"preferred":false,"id":823074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":823075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pecoraro, Samuel 0000-0002-3435-649X","orcid":"https://orcid.org/0000-0002-3435-649X","contributorId":221137,"corporation":false,"usgs":true,"family":"Pecoraro","given":"Samuel","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":823076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovett, James P.","contributorId":265598,"corporation":false,"usgs":false,"family":"Lovett","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":823077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Ann","contributorId":265599,"corporation":false,"usgs":false,"family":"Ryan","given":"Ann","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":823078,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232203,"text":"70232203 - 2021 - Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington","interactions":[],"lastModifiedDate":"2022-06-13T16:16:46.791335","indexId":"70232203","displayToPublicDate":"2021-08-06T11:05:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Diet composition of Fishers (<i>Pekania pennanti</i>) reintroduced on the Olympic Peninsula, Washington","title":"Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington","docAbstract":"<p>Knowledge of diet composition can inform management strategies and efforts to recover endangered carnivore populations in vacant portions of their historic ranges. One such species, the Fisher (<i>Pekania pennanti</i>), was extirpated in Washington State prior to any formal documentation of its food habits in the coastal coniferous forests of western Washington. Fisher recovery efforts in Washington, based on translocating Fishers from extant populations, have been ongoing since 2008, beginning with the release of 90 Fishers on Washington's Olympic Peninsula from 2008 to 2010. We collected fecal samples or digestive tracts from 13 Fishers opportunistically on the Olympic Peninsula from 2009 through 2013. Subsequently, we identified the species composition of each sample's contents to determine the primary foods consumed by the reintroduced Fishers. Fisher diets were diverse and dominated by mammalian prey. Contents of feces and digestive tracts of Fishers were composed primarily of Snowshoe Hare (<i>Lepus americanus</i>) remains, followed by lesser proportions of Mountain Beavers (<i>Aplodontia rufa</i>), Northern Flying Squirrels (<i>Glaucomys sabrinus</i>), Douglas Squirrels (<i>Tamiasciurus douglasii</i>), Southern Red-backed Voles (<i>Myodes gapperi</i>), shrews (<i>Sorex</i><span>&nbsp;</span>spp.), and unidentified ungulate species. The diet of Fishers comprised species that occur across a wide range of land uses and management prescriptions, including previously logged forests and mature forests that have been set aside for retention of old-growth forest characteristics. Additional study of prey abundance and Fisher foraging behaviors related to structural habitat characteristics across a gradient of land uses would provide useful insights for enhancing the effectiveness of conservation efforts to benefit Fishers in Pacific Northwest coastal forests.</p>","language":"English","publisher":"Society for Northwestern Vertebrate Biology","doi":"10.1898/NWN20-08","usgsCitation":"Happe, P.J., Pace, S.H., Prugh, L., Jenkins, K., Lewis, J.C., and Hagar, J., 2021, Diet composition of Fishers (Pekania pennanti) reintroduced on the Olympic Peninsula, Washington: Northwestern Naturalist, v. 102, no. 2, p. 97-108, https://doi.org/10.1898/NWN20-08.","productDescription":"12 p.","startPage":"97","endPage":"108","ipdsId":"IP-117708","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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H.","contributorId":292446,"corporation":false,"usgs":false,"family":"Pace","given":"Shelby","email":"","middleInitial":"H.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":844599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prugh, Laura R.","contributorId":257957,"corporation":false,"usgs":false,"family":"Prugh","given":"Laura R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":844600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt 0000-0003-1415-6607","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":221472,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lewis, Jeffrey C.","contributorId":141090,"corporation":false,"usgs":false,"family":"Lewis","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":844601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hagar, Joan 0000-0002-3044-6607 joan_hagar@usgs.gov","orcid":"https://orcid.org/0000-0002-3044-6607","contributorId":3369,"corporation":false,"usgs":true,"family":"Hagar","given":"Joan","email":"joan_hagar@usgs.gov","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}],"preferred":true,"id":844602,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230796,"text":"70230796 - 2021 - Comparing geometric differences between Landsat Collection 1 to Collection 2 level-1 products","interactions":[],"lastModifiedDate":"2022-04-26T15:52:18.27322","indexId":"70230796","displayToPublicDate":"2021-08-06T10:47:56","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Comparing geometric differences between Landsat Collection 1 to Collection 2 level-1 products","docAbstract":"<p><span>In late 2020 the U.S. Geological Survey (USGS) began the distribution of Landsat products associated with their collection 2 reprocessing of the archive. Several changes were implemented within the Landsat Product Generation System (LPGS) and the calibration parameters applied to the Landsat imagery for the collection 2 processing. When comparing between collection 1 and collection 2 products, radiometric and geometric differences will be present. One of the most substantial changes between the two collections was an adjustment to the ground control which made the control more accurate from an absolute and relative perspective. Some of the other changes associated with collection 2 processing were to the Digital Elevation Model (DEM) used in terrain correction, the Thermal Infrared Sensor (TIRS) relative gains, TIRS absolute calibration, Operational Land Imagery (OLI) absolute gain model, OLI relative gain, and OLI bias calculation to name a few. Although these changes also have an effect on the differences between the product associated with these two collections, the change in the ground control, although typically less than one 30-meter multispectral pixel in magnitude, will have the largest effect on the differences between the products. This change in ground control is also a spatially dynamic change that although is low in spatial frequency, is nonlinear and is not a change that can be modeled on a global or even on a local Worldwide Reference System-2 (WRS-2) path and row scale. The effects of these ground control changes will be discussed and demonstrated within this paper along with examples showing their effect on specific datasets. This paper demonstrates some of these geometric differences associated with the ground control through both the registration statistics created during product generation and through an example comparison of a set of collection 1 and collection 2 products.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings volume 11829, Earth Observing Systems XXVI","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"SPIE Optical Engineering + Applications","conferenceDate":"Aug 1-5, 2021","conferenceLocation":"San Diego, CA","language":"English","doi":"10.1117/12.2596204","usgsCitation":"Choate, M.J., Rengarajan, R., Micijevic, E., and Lubke, M., 2021, Comparing geometric differences between Landsat Collection 1 to Collection 2 level-1 products, <i>in</i> Proceedings volume 11829, Earth Observing Systems XXVI, v. 11829, San Diego, CA, Aug 1-5, 2021, 118290H, 11 p., https://doi.org/10.1117/12.2596204.","productDescription":"118290H, 11 p.","ipdsId":"IP-131285","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":399676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11829","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":216866,"corporation":false,"usgs":true,"family":"Choate","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":841371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":841372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Micijevic, Esad 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":290334,"corporation":false,"usgs":false,"family":"Micijevic","given":"Esad","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":841374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":841373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70222614,"text":"70222614 - 2021 - Preliminary assessment of the geometric improvements to the Landsat Collection-2 archive","interactions":[],"lastModifiedDate":"2021-08-10T11:33:12.694196","indexId":"70222614","displayToPublicDate":"2021-08-06T09:10:55","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary assessment of the geometric improvements to the Landsat Collection-2 archive","docAbstract":"<p><span>The U.S. Geological Survey (USGS) has completed processing of the historical Landsat archive to Collection-2 as of December of 2020 and has released it to the public. As part of Collection-2, several geometric changes have been implemented, including changes to the ground control points (GCPs) and elevation datasets. These datasets are used as a geometric reference for all missions. In addition, mission specific improvements were included in Collection-2, such as improvements to the precision correction algorithms and updates of the calibration parameters. This paper discusses a preliminary analysis of a comparison between the Collection-1 and Collection-2 products of the entire Landsat archive. Compared to the Level 1 products in Collection-1, the number of Tier-1 precision- and terrain-corrected (L1TP) Level 1 products in Collection-2 increased by 6.26% across all sensors. Landsat 8 products showed an increase of Tier-1 L1TP products by 5.33%; Landsat 7 products showed an increase of Tier-1 products by 6.94%; and Landsat 5 and Landsat 4 Thematic Mapper (TM) products showed an increase of Tier-1 products by 9.35%. The geometric accuracy of the Tier-1 terrain corrected products also improved by 2 meters or more.</span></p>","largerWorkTitle":"SPIE proceedings volume 11829, earth observing systems XXVI","language":"English","publisher":"SPIE","doi":"10.1117/12.2596200","usgsCitation":"Lubke, M., Rengarajan, R., and Choate, M.J., 2021, Preliminary assessment of the geometric improvements to the Landsat Collection-2 archive, <i>in</i> SPIE proceedings volume 11829, earth observing systems XXVI, v. 11829, 1182901, 14 p., https://doi.org/10.1117/12.2596200.","productDescription":"1182901, 14 p.","ipdsId":"IP-131181","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":387782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11829","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":820758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":820759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":216866,"corporation":false,"usgs":true,"family":"Choate","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":820760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70225549,"text":"70225549 - 2021 - Climate change and other factors influencing the saguaro cactus","interactions":[],"lastModifiedDate":"2021-10-22T13:27:33.684305","indexId":"70225549","displayToPublicDate":"2021-08-06T08:27:08","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9539,"text":"Intermountain Park Science","active":true,"publicationSubtype":{"id":30}},"title":"Climate change and other factors influencing the saguaro cactus","docAbstract":"<p><span>The saguaro cacti (</span><i>Carnegiea gigantea</i><span>&nbsp;[Engelm.] Britton &amp; Rose) is one of the world’s most iconic plants and a symbol of the desert Southwest. It is the namesake of Saguaro National Park, which was created (initially as a national monument) in 1933 to study, interpret, and protect the “giant cactus” and other unique Sonoran Desert species. Research on saguaros over the past century has revealed much about the plant’s growth, reproduction, population dynamics, and use by people and wildlife. Young saguaros grow very slowly, not reaching reproductive age until they are 35–65 years old. They produce white flowers that open at night during April through June, followed by large red fruits that are consumed by many desert animals. The saguaro fruit is also a traditional food source for the Tohono O’odham people, and the harvest of the saguaro fruit is a very important part of their culture (Bruhn 1971). Mature saguaros produce thousands of seeds each year, but establishment is episodic in that seedlings survive only during favorable periods with several consecutive years of cooler, wetter weather (Steenbergh and Lowe 1977).</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Swann, D., Winkler, D.E., Conver, J.L., and Foley, T., 2021, Climate change and other factors influencing the saguaro cactus: Intermountain Park Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-108877","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":390817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":390801,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/climate-change-and-other-factors-influencing-the-saguaro-cactus.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Saguaro National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.25476837158203,\n              32.24416711645735\n            ],\n            [\n              -111.06834411621094,\n              32.24416711645735\n            ],\n            [\n              -111.06834411621094,\n              32.35821324969215\n            ],\n            [\n              -111.25476837158203,\n              32.35821324969215\n            ],\n            [\n              -111.25476837158203,\n              32.24416711645735\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Swann, Don E.","contributorId":267908,"corporation":false,"usgs":false,"family":"Swann","given":"Don E.","affiliations":[{"id":55529,"text":"Biologist, Saguaro National Park, 3693 South Old Spanish Trail, AZ (520) 360-7261 Don_Swann@nps.gov","active":true,"usgs":false}],"preferred":false,"id":825545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":825546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conver, Joshua L.","contributorId":267924,"corporation":false,"usgs":false,"family":"Conver","given":"Joshua","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":825547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Theresa","contributorId":267925,"corporation":false,"usgs":false,"family":"Foley","given":"Theresa","email":"","affiliations":[],"preferred":false,"id":825548,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70226639,"text":"70226639 - 2021 - Brown treesnake mortality after aerial application of toxic baits","interactions":[],"lastModifiedDate":"2021-12-01T13:31:25.091333","indexId":"70226639","displayToPublicDate":"2021-08-06T07:29:21","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":"Brown treesnake mortality after aerial application of toxic baits","docAbstract":"<div class=\"article-section__content en main\"><p>Quantitative evaluation of control tools for managing invasive species is necessary to assess overall effectiveness and individual variation in treatment susceptibility. Invasive brown treesnakes (<i>Boiga irregularis</i>) on Guam have caused severe ecological and economic effects, pose a risk of accidental introduction to other islands, and are the greatest impediment to the reestablishment of extirpated native fauna. An aerial delivery system for rodent-based toxic baits can reduce brown treesnake abundance and heterogeneity among individuals may influence bait attraction or toxicant susceptibility. Previous baiting trials have either been simulated aerial treatments or relied on slightly different bait capsule compositions and the results of aerial delivery of toxic baits under operational conditions may not be directly comparable. We monitored 30 radio-tagged adult snakes (990–1,265 mm snout-vent length) during an aerial baiting operation in a 55-ha area using transmitters equipped with accelerometers and receivers programed to display a status code indicating mortality if a snake failed to move for &gt;24 hours. We used known-fate models to estimate mortality and evaluate<span>&nbsp;</span><i>a priori</i><span>&nbsp;</span>hypotheses explaining differences in mortality based on size, sex, and treatment effects. Eleven radio-tagged snakes died in the aerial baiting treatment period (0.37, 95% CI = 0.21–0.55) and no individuals (0.00, 95% CI = 0.00–0.04) died during the non-treatment period. Our data provide strong evidence for an additive size-based treatment effect on mortality, with smaller adults (0.59, 95% CI = 0.35–0.80) exhibiting higher mortality than larger snakes (0.14, 95% CI = 0.02–0.37) but did not support a sex effect on mortality. The high mortality of snakes during the treatment period indicates that aerial baiting can reduce brown treesnake abundance, but further refinement or use in combination with other removal tools may be necessary to overcome size-based differences in susceptibility and achieve eradication.</p></div>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22108","usgsCitation":"Goetz, S.M., Hileman, E., Nafus, M.G., Yackel Adams, A.A., Bryant, A.R., Reed, R., and Siers, S.R., 2021, Brown treesnake mortality after aerial application of toxic baits: Journal of Wildlife Management, v. 85, no. 7, p. 1507-1514, https://doi.org/10.1002/jwmg.22108.","productDescription":"8 p.","startPage":"1507","endPage":"1514","ipdsId":"IP-120449","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":451259,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22108","text":"Publisher Index Page"},{"id":392302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              144.6075439453125,\n              13.210534384132375\n            ],\n            [\n              144.964599609375,\n              13.210534384132375\n            ],\n            [\n              144.964599609375,\n              13.680681930380013\n            ],\n            [\n              144.6075439453125,\n              13.680681930380013\n            ],\n            [\n              144.6075439453125,\n              13.210534384132375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"85","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hileman, Eric T.","contributorId":257493,"corporation":false,"usgs":false,"family":"Hileman","given":"Eric T.","affiliations":[],"preferred":false,"id":827564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bryant, Amanda R","contributorId":269622,"corporation":false,"usgs":false,"family":"Bryant","given":"Amanda","email":"","middleInitial":"R","affiliations":[{"id":56015,"text":"Cherokee Nation Technologies, U.S. Geological Survey Brown Treesnake Project, Yigo, GU 96929, USA","active":true,"usgs":false}],"preferred":false,"id":827567,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":827568,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Siers, Shane R.","contributorId":152305,"corporation":false,"usgs":false,"family":"Siers","given":"Shane","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":827569,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70222539,"text":"sir20215041 - 2021 - Assessment of water-quality constituents monitored for total maximum daily loads in Johnson County, Kansas, January 2015 through December 2018","interactions":[],"lastModifiedDate":"2021-08-06T21:41:36.350873","indexId":"sir20215041","displayToPublicDate":"2021-08-06T07:21:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5041","displayTitle":"Assessment of Water-Quality Constituents Monitored for Total Maximum Daily Loads in Johnson County, Kansas, January 2015 through December 2018","title":"Assessment of water-quality constituents monitored for total maximum daily loads in Johnson County, Kansas, January 2015 through December 2018","docAbstract":"<p>Stormwater discharges from municipalities are regulated by provisions in the Clean Water Act of 1972 to protect the Nation’s water resources from harmful pollutants. In 2014, the Kansas Department of Health and Environment issued new stormwater discharge permits for 17 municipalities in Johnson County, Kansas, in the northeastern part of the State. The county is largely suburban and has 20 municipalities within 22 watersheds. Municipalities in Johnson County are required to implement stormwater management programs that reduce discharges of pollutants, protect water quality, and satisfy applicable water-quality regulations.</p><p>In 2015, the U.S. Geological Survey, in cooperation with the Johnson County Stormwater Management Program, began a 4-year monitoring program designed to meet new stormwater monitoring requirements for some municipalities in Johnson County. Additional data were collected to evaluate the usefulness of continuous water-quality monitoring and different sampling methods in assessing changes in water quality. Twelve of the 22 watersheds in the county were within the sampling network for this project.</p><p>Discrete water-quality samples were collected at 25 stream sites and 2 lake sites using passive, grab, and equal-width increment sampling methods. Samples at all sites were analyzed for nutrients, <i>Escherichia coli</i> bacteria, total suspended solids, and suspended-sediment concentration. Ninety-nine percent of storm-event samples and 98 percent of low-flow samples were less than the Kansas Surface Water Quality Standard for nitrate plus nitrite. Eight percent of storm-event samples and 100 percent of low-flow samples were less than the total suspended solids screening value of 50 milligrams per liter. Passive samples generally had higher concentrations when compared to equal-width increment and grab samples, and grab samples and equal-width increment samples generally had similar concentrations.</p><p>Continuous water-quality data were collected at one site. Ordinary least squares regression analysis was used to relate continuous (15-minute) water-quality sensor measurements to discretely sampled constituent concentrations at one site.</p><p>Numerous factors affect water quality in urban runoff. Urban areas have many possible contaminant sources, including municipal and industrial wastewater discharges, stormwater runoff from impervious surfaces, and failing infrastructure. A better understanding of these factors can inform future monitoring efforts, leading to datasets that are representative of storm runoff and can be used to detect differences between sites and over time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215041","collaboration":"Prepared in cooperation with the Johnson County Stormwater Management Program","usgsCitation":"Leiker, B.M., Rasmussen, T.J., Eslick-Huff, P.J., and Painter, C.C., 2021, Assessment of water-quality constituents monitored for total maximum daily loads in Johnson County, Kansas, January 2015 through December 2018: U.S. Geological Survey Scientific Investigations Report 2021–5041, 45 p., https://doi.org/10.3133/sir20215041.","productDescription":"Report: viii, 45 p.; Appendixes: 62 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-119343","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":387659,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91397BC","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality and preceding precipitation data for low-flow and storm-event samples collected in Johnson County, Kansas, from January 2015 through November 2018"},{"id":387657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5041/sir20215041.pdf","text":"Report","size":"3.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5041"},{"id":387656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5041/coverthb.jpg"},{"id":387658,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5041/sir20215041_appendixes_2to6.pdf","text":"Appendixes 2–6","size":"2.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5041 Appendixes"}],"country":"United States","state":"Kansas","county":"Johnson County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-94.6075,39.0437],[-94.6075,39.0399],[-94.6082,38.8463],[-94.6084,38.8341],[-94.6102,38.7376],[-95.0572,38.7395],[-95.0558,38.9816],[-95.0477,38.9778],[-95.0383,38.9771],[-95.0312,38.9773],[-95.0292,38.9813],[-95.0271,38.9881],[-95.0249,38.9962],[-95.0189,38.9987],[-95.0135,38.9991],[-95.0077,38.998],[-94.9946,38.9976],[-94.9899,38.997],[-94.9841,38.995],[-94.9789,38.9926],[-94.9755,38.9885],[-94.9704,38.9851],[-94.9645,38.9832],[-94.9575,38.982],[-94.9527,38.9828],[-94.9479,38.9845],[-94.9448,38.9871],[-94.9423,38.9898],[-94.9386,38.9933],[-94.9367,38.9964],[-94.9335,38.9995],[-94.9264,38.9998],[-94.9217,38.9996],[-94.9176,38.9977],[-94.9209,38.9919],[-94.923,38.9856],[-94.9207,38.9837],[-94.9164,38.9859],[-94.9115,38.9889],[-94.9078,38.9924],[-94.9014,39.0022],[-94.8989,39.0053],[-94.8945,39.0102],[-94.8919,39.0155],[-94.891,39.021],[-94.8875,39.0313],[-94.8824,39.0379],[-94.8768,39.0441],[-94.8681,39.052],[-94.8631,39.0564],[-94.8488,39.0578],[-94.8318,39.0546],[-94.8131,39.0486],[-94.8038,39.0456],[-94.7197,39.0435],[-94.6693,39.0433],[-94.6075,39.0437]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"KS\"}}]}","contact":"<p><a data-mce-href=\"mailto:%20dc_ks@usgs.gov\" href=\"mailto:%20dc_ks@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a> <br>U.S. Geological Survey<br>1217 Biltmore Drive <br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Assessment of Discrete Water-Quality Constituents</li><li>Evaluation of Data Utility</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Streamflow Measurement and Estimation Methods</li><li>Appendix 2. Model Archive Summary for Total Nitrogen at Mill Creek at Johnson Drive, Shawnee, Kansas, 2015–18</li><li>Appendix 3. Model Archive Summary for Escherichia coli at Mill Creek at Johnson Drive, Shawnee, Kansas, 2015–18</li><li>Appendix 4. Model Archive Summary for Total Suspended Solids at Mill Creek at Johnson Drive, Shawnee, Kansas, 2015–18</li><li>Appendix 5. Model Archive Summary for Suspended Sediment at Mill Creek at Johnson Drive, Shawnee, Kansas, 2015–18</li><li>Appendix 6. Comparison of Historical and Project Data</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-06","noUsgsAuthors":false,"publicationDate":"2021-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Leiker, Brianna M. 0000-0002-9896-681X bleiker@usgs.gov","orcid":"https://orcid.org/0000-0002-9896-681X","contributorId":250677,"corporation":false,"usgs":true,"family":"Leiker","given":"Brianna","email":"bleiker@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":820499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":820500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eslick-Huff, Patrick J. 0000-0003-2611-6012","orcid":"https://orcid.org/0000-0003-2611-6012","contributorId":257038,"corporation":false,"usgs":true,"family":"Eslick-Huff","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":820501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Painter, Colin C. 0000-0002-9469-5987 cpainter@usgs.gov","orcid":"https://orcid.org/0000-0002-9469-5987","contributorId":5597,"corporation":false,"usgs":true,"family":"Painter","given":"Colin","email":"cpainter@usgs.gov","middleInitial":"C.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":820502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70236812,"text":"70236812 - 2021 - Quaternary reelfoot fault deformation in the Obion River Valley, Tennessee, USA","interactions":[],"lastModifiedDate":"2022-09-19T12:30:48.499164","indexId":"70236812","displayToPublicDate":"2021-08-06T07:20:45","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Quaternary reelfoot fault deformation in the Obion River Valley, Tennessee, USA","docAbstract":"<div class=\"article-section__content en main\"><p>Blind reverse faults are challenging to detect, and earthquake records can be elusive because deep fault slip does not break the surface along readily recognized scarps. The blind Reelfoot fault in the New Madrid seismic zone in the central United States has been the subject of extensive prior investigation; however, the extent of slip at the southern portion of the fault remains unconstrained. In this study, we use lidar to map terraces and lacustrine landforms in the Obion River valley and investigate apparent broad folding resulting from slip on the buried Reelfoot fault. We compare remote surface mapping results with three auger boreholes in the ∼24&nbsp;ka Finley terrace and interpret apparent warping as due to tectonic folding and not stratigraphic thickening. We combine our results with historical records of coseismic lake formation that indicate surface deformation dammed the Obion River in the 1812 CE earthquake. Older terraces (deposited at least 35–55&nbsp;ka) record progressive fold scarps ≥1, ≥2, and ≥8&nbsp;m high indicating a long record of earthquakes predating the existing paleoseismic record. Broad, distributed folding above the Reelfoot fault into the Obion River valley is consistent with a deep active fault tip along the southern reaches of the fault. Our analyses indicate the entire length of the fault (≥70&nbsp;km) is capable of rupture and is more consistent with longer rupture scenarios.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005990","usgsCitation":"Delano, J., Briggs, R.W., Jobe, J.A., Gold, R.D., and Engelhart, S.E., 2021, Quaternary reelfoot fault deformation in the Obion River Valley, Tennessee, USA: Tectonics, v. 40, no. 8, e2019TC005990, 26 p., https://doi.org/10.1029/2019TC005990.","productDescription":"e2019TC005990, 26 p.","ipdsId":"IP-128115","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":451263,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1268559","text":"External Repository"},{"id":406947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Obion River Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.3460693359375,\n              34.97600151317588\n            ],\n            [\n              -88.7310791015625,\n              34.97600151317588\n            ],\n            [\n              -88.7310791015625,\n              36.54053616262899\n            ],\n            [\n              -90.3460693359375,\n              36.54053616262899\n            ],\n            [\n              -90.3460693359375,\n              34.97600151317588\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":852239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":852240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":852241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":852242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":852243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264024,"text":"70264024 - 2021 - Improving inferences about private land conservation by accounting for incomplete reporting","interactions":[],"lastModifiedDate":"2025-03-05T16:08:45.128462","indexId":"70264024","displayToPublicDate":"2021-08-06T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Improving inferences about private land conservation by accounting for incomplete reporting","docAbstract":"<p><span>Private lands provide key habitat for imperiled species and are core components of function protected area networks; yet, their incorporation into national and regional conservation planning has been challenging. Identifying locations where private landowners are likely to participate in conservation initiatives can help avoid conflict and clarify trade-offs between ecological benefits and sociopolitical costs. Empirical, spatially explicit assessment of the factors associated with conservation on private land is an emerging tool for identifying future conservation opportunities. However, most data on private land conservation are voluntarily reported and incomplete, which complicates these assessments. We used a novel application of occupancy models to analyze the occurrence of conservation easements on private land. We compared multiple formulations of occupancy models with a logistic regression model to predict the locations of conservation easements based on a spatially explicit social-ecological systems framework. We combined a simulation experiment with a case study of easement data in Idaho and Montana (United States) to illustrate the utility of the occupancy framework for modeling conservation on private land. Occupancy models that explicitly accounted for variation in reporting produced estimates of predictors that were substantially less biased than estimates produced by logistic regression under all simulated conditions. Occupancy models produced estimates for the 6 predictors we evaluated in our case study that were larger in magnitude, but less certain than those produced by logistic regression. These results suggest that occupancy models result in qualitatively different inferences regarding the effects of predictors on conservation easement occurrence than logistic regression and highlight the importance of integrating variable and incomplete reporting of participation in empirical analysis of conservation initiatives. Failure to do so can lead to emphasizing the wrong social, institutional, and environmental factors that enable conservation and underestimating conservation opportunities in landscapes where social norms or institutional constraints inhibit reporting.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13673","usgsCitation":"Williamson, M., Dickson, B., Hooten, M., Graves, R., Lubell, M., and Schwartz, M., 2021, Improving inferences about private land conservation by accounting for incomplete reporting: Conservation Biology, v. 35, no. 4, p. 1174-1185, https://doi.org/10.1111/cobi.13673.","productDescription":"12 p.","startPage":"1174","endPage":"1185","ipdsId":"IP-113790","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.044156,43.020052],[-111.046689,42.001567],[-112.173352,41.996568],[-112.192976,42.001167],[-112.709375,42.000309],[-113.893261,41.988057],[-114.041723,41.99372],[-114.598267,41.994511],[-114.831077,42.002207],[-115.031783,41.996008],[-117.026222,42.000252],[-117.02678,43.829841],[-117.01077,43.862269],[-116.98294,43.86771],[-116.977332,43.905812],[-116.96247,43.928336],[-116.963666,43.952644],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.933704,44.100039],[-116.894309,44.158114],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.975905,44.242844],[-117.031862,44.248635],[-117.042283,44.242775],[-117.050057,44.22883],[-117.089503,44.258234],[-117.098531,44.275533],[-117.107673,44.280763],[-117.118018,44.278945],[-117.143394,44.258262],[-117.170342,44.25889],[-117.198147,44.273828],[-117.222647,44.297578],[-117.217843,44.30718],[-117.2055,44.311789],[-117.189842,44.335007],[-117.196149,44.346362],[-117.235117,44.373853],[-117.242675,44.396548],[-117.22698,44.405583],[-117.215072,44.427162],[-117.215573,44.453746],[-117.225076,44.482346],[-117.200237,44.492027],[-117.181583,44.52296],[-117.161033,44.525166],[-117.149242,44.536151],[-117.14293,44.557236],[-117.147934,44.562143],[-117.146032,44.568603],[-117.126009,44.581553],[-117.120522,44.614658],[-117.098221,44.640689],[-117.095868,44.664737],[-117.07912,44.692175],[-117.061799,44.706654],[-117.062273,44.727143],[-117.03827,44.748179],[-117.013802,44.756841],[-116.998903,44.756382],[-116.972902,44.772581],[-116.9368,44.782881],[-116.9308,44.790981],[-116.931099,44.804781],[-116.896249,44.84833],[-116.865338,44.870599],[-116.852427,44.887577],[-116.83199,44.933007],[-116.850737,44.958113],[-116.858313,44.978761],[-116.846103,44.999878],[-116.848037,45.021728],[-116.797329,45.060267],[-116.78371,45.076972],[-116.783537,45.093605],[-116.774847,45.105536],[-116.754643,45.113972],[-116.731216,45.139934],[-116.724205,45.171501],[-116.709536,45.203015],[-116.703607,45.239757],[-116.691388,45.263739],[-116.675587,45.274867],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.558803,45.480076],[-116.548676,45.510385],[-116.523638,45.54661],[-116.502756,45.566608],[-116.48297,45.577008],[-116.463635,45.602785],[-116.463504,45.615785],[-116.487894,45.649769],[-116.535396,45.691734],[-116.535698,45.734231],[-116.546643,45.750972],[-116.593004,45.778541],[-116.632032,45.784979],[-116.646342,45.779815],[-116.665344,45.781998],[-116.680139,45.79359],[-116.697192,45.820135],[-116.711822,45.826267],[-116.736268,45.826179],[-116.759787,45.816167],[-116.782676,45.825376],[-116.788329,45.831928],[-116.790151,45.849851],[-116.814142,45.877551],[-116.84355,45.892273],[-116.859795,45.907264],[-116.892935,45.974396],[-116.91868,45.999875],[-116.942656,46.061],[-116.957372,46.075449],[-116.978938,46.080007],[-116.981962,46.084915],[-116.978823,46.095731],[-116.955263,46.102237],[-116.950276,46.123464],[-116.922648,46.160744],[-116.923958,46.17092],[-116.965841,46.203417],[-116.955264,46.23088],[-116.966742,46.256923],[-116.991134,46.276342],[-116.986688,46.296662],[-117.020663,46.314793],[-117.027744,46.338751],[-117.051735,46.343833],[-117.06263,46.352522],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.039813,46.425425],[-117.042657,47.760857],[-117.032351,48.999188],[-104.048736,48.999877],[-104.041662,47.862282],[-104.046822,46.000199],[-104.040128,44.999987],[-105.913382,45.000941],[-105.928184,44.993647],[-106.263586,44.993788],[-107.351441,45.001407],[-109.08301,44.99961],[-109.103445,45.005904],[-110.110103,45.003905],[-110.199503,44.996188],[-110.362698,45.000593],[-110.402927,44.99381],[-110.552433,44.992237],[-110.705272,44.992324],[-110.785008,45.002952],[-111.055199,45.001321],[-111.044156,43.020052]]]},\"properties\":{\"name\":\"Idaho\",\"nation\":\"USA  \"}}]}","volume":"35","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Matthew A.","contributorId":351796,"corporation":false,"usgs":false,"family":"Williamson","given":"Matthew A.","affiliations":[{"id":84047,"text":"bsu","active":true,"usgs":false}],"preferred":false,"id":929510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickson, Brett G.","contributorId":351797,"corporation":false,"usgs":false,"family":"Dickson","given":"Brett G.","affiliations":[{"id":62994,"text":"CSP","active":true,"usgs":false}],"preferred":false,"id":929511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin","contributorId":18254,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","affiliations":[],"preferred":false,"id":929695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Rose A.","contributorId":351798,"corporation":false,"usgs":false,"family":"Graves","given":"Rose A.","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":929512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubell, Mark N.","contributorId":351799,"corporation":false,"usgs":false,"family":"Lubell","given":"Mark N.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":929513,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwartz, Mark W.","contributorId":351800,"corporation":false,"usgs":false,"family":"Schwartz","given":"Mark W.","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":929514,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70222458,"text":"ofr20211073 - 2021 - Reconnaissance study of the major and trace element content of bauxite deposits in the Arkansas bauxite region, Saline and Pulaski Counties, central Arkansas","interactions":[],"lastModifiedDate":"2021-08-06T21:38:29.620031","indexId":"ofr20211073","displayToPublicDate":"2021-08-05T15:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1073","displayTitle":"Reconnaissance Study of the Major and Trace Element Content of Bauxite Deposits in the Arkansas Bauxite Region, Saline and Pulaski Counties, Central Arkansas","title":"Reconnaissance study of the major and trace element content of bauxite deposits in the Arkansas bauxite region, Saline and Pulaski Counties, central Arkansas","docAbstract":"<p>The Arkansas bauxite district, which comprises about 275 square miles (710 square kilometers) of central Arkansas, produced an order of magnitude more bauxite and alumina than the other bauxite districts in the United States combined. Bauxite was mined in the region continuously from 1898 to 1982. These bauxites are laterite deposits, formed from intensive in-place weathering of the exposed surface of the Granite Mountain pluton, a Late Cretaceous batholith composed mainly of nepheline syenite and lesser amounts of syenite. Nepheline syenite was the aluminum source for the bauxite and clay deposits that blanket the pluton. The early Eocene continental sedimentary rocks that contain and overlie the bauxite deposits indicate that central Arkansas had a warm tropical environment during bauxite formation.</p><p>Bauxite ores are the principal sources of aluminum. Some of the global bauxite deposits have been found to contain co-occurring metals that have essential applications in modern technologies. For example, bauxite is the largest global source of gallium (Ga), used in semiconductors, which is recovered as a byproduct of processing bauxite to recover alumina. Other critical metal commodities within some bauxites that reportedly have potential for byproduct recovery include niobium (Nb), scandium (Sc), and rare earth elements (REEs). Currently (2021), the United States is wholly dependent on imports for its supplies of bauxite for processing to produce alumina. The United States is also dependent on foreign sources of gallium, niobium, and scandium, as well for most of its domestic requirements of REEs.</p><p>For these reasons, samples were collected from Arkansas bauxite deposits, associated clays, mill residue wastes (respectively referred to as red muds and black sands), and the parent nepheline syenite to determine their elemental content, with a particular focus on gallium, niobium, scandium, and REEs. Each sample was analyzed for 60 elements; these data and the methods used are published as a U.S. Geological Survey data release.</p><p>The results indicate that, of the critical metals in bauxites, gallium is a potential byproduct from the central Arkansas bauxite deposits. The highest gallium concentrations occur in the raw bauxite ore, with an average concentration of 76 parts per million (ppm). Gallium partitions with alumina (the product) rather than into mine waste residues. Results indicate an average niobium content of 662 ppm in the Arkansas bauxite ores. Niobium progressively increases in concentration from parent syenite (247 ppm) to clays (315 ppm) and further from bauxite (662 ppm) to processed residues (1,075 ppm). Low concentrations of scandium were found in all samples, averaging 10 ppm or less in the parent rock (syenite), bauxite, clays, and processing residues. Modest concentrations of the light and heavy REEs were found in samples of bauxite ores, bauxitic clays and interbedded clays, syenite, and the residues of ore. The highest REE values were found in processed residues, with average concentrations of 613 ppm total light REEs and 130 ppm total heavy REEs. These concentrations suggest that additional processing to recover REEs is unlikely to be economic in the foreseeable future.</p><p><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20211073","usgsCitation":"Van Gosen, B.S., and Choate, L.M., 2021, Reconnaissance study of the major and trace element content of bauxite deposits in the Arkansas bauxite region, Saline and Pulaski Counties, central Arkansas: U.S. Geological Survey Open-File Report 2021–1073, 18 p., https://doi.org/10.3133/ofr20211073.","productDescription":"Report: vi, 18 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-122543","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":387553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1073/coverthb.jpg"},{"id":387554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1073/ofr20211073.pdf","text":"Report","size":"2.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1073"},{"id":387555,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P999FSXM","text":"USGS data release","linkHelpText":"Geochemical analyses of bauxite and associated rocks from the Arkansas bauxite region, central Arkansas"}],"country":"United States","state":"Arkansas","county":"Pulaski County, Saline County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.71774291992186,\n              34.473165492385505\n            ],\n            [\n              -92.21923828124999,\n              34.473165492385505\n            ],\n            [\n              -92.21923828124999,\n              34.80140001594981\n            ],\n            [\n              -92.71774291992186,\n              34.80140001594981\n            ],\n            [\n              -92.71774291992186,\n              34.473165492385505\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://minerals.cr.usgs.gov/\" data-mce-href=\"https://minerals.cr.usgs.gov/\">Geology, Geophysics, and Geochemistry Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS 973<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Arkansas Bauxite Region</li><li>Bauxite Mineralogy and Textures</li><li>Bauxite Ore Processing—Bayer Process</li><li>Element Concentrations Relative to Average Upper Crust Abundance</li><li>Concentrations and Partitioning of Gallium, Niobium, Scandium, and Rare Earth Elements in the Bauxite Deposits</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2021-08-05","noUsgsAuthors":false,"publicationDate":"2021-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":820102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, LaDonna M. 0000-0002-0229-7210 lchoate@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-7210","contributorId":1176,"corporation":false,"usgs":true,"family":"Choate","given":"LaDonna","email":"lchoate@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":820103,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70225675,"text":"70225675 - 2021 - Concentration addition and independent action assessments of the binary mixtures of four toxicants on zebra mussel (Dreissena polymorpha) mortality","interactions":[],"lastModifiedDate":"2021-11-02T11:50:17.793558","indexId":"70225675","displayToPublicDate":"2021-08-05T06:48:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Concentration addition and independent action assessments of the binary mixtures of four toxicants on zebra mussel (Dreissena polymorpha) mortality","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara021\">Researchers most often focus on individual toxicants when identifying effective chemical control agents for aquatic invasive species; however, toxicant mixtures may elicit synergistic effects. Synergistic effects may decrease required concentrations and shorten exposure durations for treatments. We investigated four toxicants (EarthTec QZ, Clam-Trol CT-2, niclosamide, and potassium chloride) that have been considered to control invasive zebra mussels (<i>Dreissena polymorpha</i><span>&nbsp;</span>Pallas, 1771). We determined the toxicity of binary mixtures for five different mixture ratios to adult mussels. We compared our observations to predictions made with concentration addition and independent action paradigms, as based on the dose-response relationships of each individual toxicant. We calculated the model deviation ratio for each combination at the LC<sub>50</sub><span>&nbsp;</span>and LC<sub>90</sub><span>&nbsp;</span>and identified three possible interactions: synergy, antagonism, and additivity. We found that mixtures of niclosamide and Clam-Trol CT-2 were the most synergistic while mixtures that included potassium chloride were largely additive to antagonistic. The use of synergistic combinations has potential to decrease the overall volume and concentration of individual toxicants required for dreissenid mussel treatments, thereby decreasing cost.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2021.105934","usgsCitation":"Barbour, M., Schueller, J., Severson, T.J., Wise, J.K., Meulemans, M.J., Luoma, J.A., and Waller, D.L., 2021, Concentration addition and independent action assessments of the binary mixtures of four toxicants on zebra mussel (Dreissena polymorpha) mortality: Aquatic Toxicology, v. 238, 105934, 14 p., https://doi.org/10.1016/j.aquatox.2021.105934.","productDescription":"105934, 14 p.","ipdsId":"IP-125582","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":451271,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2021.105934","text":"Publisher Index Page"},{"id":436247,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HJGJ5L","text":"USGS data release","linkHelpText":"Assessments of the binary mixtures of four toxicants on Zebra Mussel (Dreissena polymorpha) mortality, data release"},{"id":391261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"238","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Matthew T. 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meulemans, Matthew 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826184,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227688,"text":"70227688 - 2021 - SSA task force on diversity, equity, and inclusion: Toward a changing, inclusive future in earthquake science","interactions":[],"lastModifiedDate":"2022-01-26T15:27:16.763866","indexId":"70227688","displayToPublicDate":"2021-08-04T09:17:32","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":"SSA task force on diversity, equity, and inclusion: Toward a changing, inclusive future in earthquake science","docAbstract":"In the United States, a wide variety of studies show that the geoscience community does not reflect the broader societal makeup (e.g., Velasco and Jaurrieta de Velasco, 2010; Dutt, 2020; Howley, 2020). In fact, only about 10% of all Science, Technology, Engineering, and Mathematics (STEM) Ph.D. degrees are awarded to people of color, although they represent more than a third of the population (Dutt, 2020). These numbers have changed little over the past 40 yr (e.g., Bernard and Cooperdock, 2018; Dutt, 2020). Recent events in the United States have again raised awareness of this discrepancy in many fields; similar divergences may be present throughout the world. This discrepancy represents a tremendous loss of talent and contributes to ongoing bias and racism.\nAs the premier international seismological professional society, Seismological Society of America (SSA) is committed, as stated in its ethics policy, to “freedom and transparency in research and education, which should be conducted in a supportive, inclusive, and respectful environment, free from any discrimination, harassment or bullying.” SSA convened the SSA Diversity, Equity, and Inclusion (DEI) Task Force to identify specific and actionable recommendations that the Society can take to start to address the significant issues surrounding the systematic underrepresentation in seismology and related geosciences by marginalized groups on both short- and long- term time horizons. This report, written by the Task Force, outlines actionable items that SSA can undertake as well as a framework by which progress can be measured to help guide the Society and its members forward as a community to make earthquake science more just, equitable, diverse, and inclusive. We recognize that this document cannot address the multiple individual, cultural, and historical barriers that some members may face (e.g., Núñez et al., 2020), nor can it reflect all possibilities or all recommended practices (e.g., Ali et al., 2021). What this document does represent, however, is the beginning of what we hope to be a significant cultural change in how we conduct earthquake science as an organization, not the end of this process as the Task Force fulfills its charter. As a note, some of the recommendations that the Task Force has outlined here have already been implemented within SSA or are actively being considered. For completeness, we still include them here because this highlights the commitment to change that SSA leadership has embraced.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210170","usgsCitation":"Velasco, A.A., Aderhold, K., Alfaro-Diaz, R., Brown, W., Brudzinski, M., Fraiser, M., Holt, M.M., Mori, J., Noriega, G., Scharer, K.M., Templeton, D., Terra, F., and Williams-Stroud, S., 2021, SSA task force on diversity, equity, and inclusion: Toward a changing, inclusive future in earthquake science: Seismological Research Letters, v. 92, no. 5, p. 3267-3275, https://doi.org/10.1785/0220210170.","productDescription":"9 p.","startPage":"3267","endPage":"3275","ipdsId":"IP-131263","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":451273,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1826868","text":"External 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,{"id":70221580,"text":"70221580 - 2021 - Climate impacts on the Gulf of Maine ecosystem: A review of observed and expected changes in 2050 from rising temperatures","interactions":[],"lastModifiedDate":"2021-09-15T13:56:50.982182","indexId":"70221580","displayToPublicDate":"2021-08-04T08:46:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Climate impacts on the Gulf of Maine ecosystem: A review of observed and expected changes in 2050 from rising temperatures","docAbstract":"<p><span>The Gulf of Maine has recently experienced its warmest 5-year period (2015–2020) in the instrumental record. This warming was associated with a decline in the signature subarctic zooplankton species,&nbsp;</span><i>Calanus finmarchicus</i><span>. The temperature changes have also led to impacts on commercial species such as Atlantic cod (</span><i>Gadus morhua</i><span>) and American lobster (</span><i>Homarus americanus</i><span>) and protected species including Atlantic puffins (</span><i>Fratercula arctica</i><span>) and northern right whales (</span><i>Eubalaena glacialis</i><span>). The recent period also saw a decline in Atlantic herring (</span><i>Clupea harengus</i><span>) recruitment and an increase in novel harmful algal species, although these have not been attributed to the recent warming. Here, we use an ensemble of numerical ocean models to characterize expected ocean conditions in the middle of this century. Under the high CO</span><sub>2</sub><span>&nbsp;emissions scenario (RCP8.5), the average temperature in the Gulf of Maine is expected to increase 1.1°C to 2.4°C relative to the 1976–2005 average. Surface salinity is expected to decrease, leading to enhanced water column stratification. These physical changes are likely to lead to additional declines in subarctic species including&nbsp;</span><i>C. finmarchicus</i><span>, American lobster, and Atlantic cod and an increase in temperate species. The ecosystem changes have already impacted human communities through altered delivery of ecosystem services derived from the marine environment. Continued warming is expected to lead to a loss of heritage, changes in culture, and the necessity for adaptation.</span></p>","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.2020.00076","usgsCitation":"Pershing, A., Alexander, M.A., Brady, D., Brickman, D., Curchitser, E.N., Diamond, A.W., McClenachan, L., Mills, K., Nichols, O., Pendleton, D., Record, N., Scott, J., Staudinger, M., and Wang, Y., 2021, Climate impacts on the Gulf of Maine ecosystem: A review of observed and expected changes in 2050 from rising temperatures: Elementa: Science of the Anthropocene, v. 9, no. 1, 00076, 18 p., https://doi.org/10.1525/elementa.2020.00076.","productDescription":"00076, 18 p.","ipdsId":"IP-120338","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":451274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Maine","active":true,"usgs":false}],"preferred":false,"id":818161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brickman, David","contributorId":260603,"corporation":false,"usgs":false,"family":"Brickman","given":"David","email":"","affiliations":[{"id":52613,"text":"DFO","active":true,"usgs":false}],"preferred":false,"id":818162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curchitser, Enrique N.","contributorId":260604,"corporation":false,"usgs":false,"family":"Curchitser","given":"Enrique","email":"","middleInitial":"N.","affiliations":[{"id":52614,"text":"Rutgers Unv.","active":true,"usgs":false}],"preferred":false,"id":818163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diamond, Anthony W.","contributorId":260605,"corporation":false,"usgs":false,"family":"Diamond","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":818164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McClenachan, Loren","contributorId":260606,"corporation":false,"usgs":false,"family":"McClenachan","given":"Loren","email":"","affiliations":[{"id":51887,"text":"Colby College","active":true,"usgs":false}],"preferred":false,"id":818165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mills, Kathy","contributorId":260607,"corporation":false,"usgs":false,"family":"Mills","given":"Kathy","affiliations":[{"id":52611,"text":"GMRI","active":true,"usgs":false}],"preferred":false,"id":818166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nichols, Owen","contributorId":260608,"corporation":false,"usgs":false,"family":"Nichols","given":"Owen","affiliations":[{"id":39188,"text":"Center for Coastal Studies","active":true,"usgs":false}],"preferred":false,"id":818167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pendleton, Daniel","contributorId":260609,"corporation":false,"usgs":false,"family":"Pendleton","given":"Daniel","affiliations":[{"id":48127,"text":"Anderson Cabot Center for Marine Life","active":true,"usgs":false}],"preferred":false,"id":818168,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Record, Nicholas","contributorId":260610,"corporation":false,"usgs":false,"family":"Record","given":"Nicholas","affiliations":[{"id":52615,"text":"Bigelow Lab","active":true,"usgs":false}],"preferred":false,"id":818169,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scott, James","contributorId":260611,"corporation":false,"usgs":false,"family":"Scott","given":"James","affiliations":[{"id":52616,"text":"CIRES","active":true,"usgs":false}],"preferred":false,"id":818170,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Staudinger, Michelle 0000-0002-4535-2005","orcid":"https://orcid.org/0000-0002-4535-2005","contributorId":206655,"corporation":false,"usgs":true,"family":"Staudinger","given":"Michelle","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":818171,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wang, Yanjun","contributorId":260612,"corporation":false,"usgs":false,"family":"Wang","given":"Yanjun","email":"","affiliations":[{"id":52613,"text":"DFO","active":true,"usgs":false}],"preferred":false,"id":818172,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70222522,"text":"sir20215055 - 2021 - Groundwater quality and age of secondary bedrock aquifers in the glaciated portion of eastern Nebraska, 2016–18","interactions":[],"lastModifiedDate":"2021-08-05T09:52:41.030548","indexId":"sir20215055","displayToPublicDate":"2021-08-04T08:23:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5055","displayTitle":"Groundwater Quality and Age of Secondary Bedrock Aquifers in the Glaciated Portion of Eastern Nebraska, 2016–18","title":"Groundwater quality and age of secondary bedrock aquifers in the glaciated portion of eastern Nebraska, 2016–18","docAbstract":"<p>The Eastern Nebraska Water Resources Assessment (ENWRA) project was initiated in 2006 to assist water managers by developing a hydrogeologic framework and water budget for the glaciated portion of eastern Nebraska. Within the ENWRA area, the primary groundwater sources for municipal, domestic, and irrigation water needs are provided by withdrawals from alluvial, buried paleovalley, and the High Plains aquifer (where present). Generally, other bedrock aquifers are considered a secondary water source. However, in some areas, such as parts of Sarpy and Nemaha Counties, these secondary bedrock aquifers are the only source of water within glaciated upland areas. To improve the understanding of the quality, geochemistry, and age of groundwater from bedrock aquifers, the U.S. Geological Survey (USGS), in cooperation with the ENWRA group, which includes the Lewis and Clark, Lower Elkhorn, Lower Platte North, Lower Platte South, Nemaha, and Papio-Missouri River Natural Resources Districts, designed a study to sample 31 wells completed in the secondary bedrock aquifers and analyze samples for major ions, physical properties, nutrients, stable isotopes, and selected age tracers. Of the 31 samples collected for this report, 22 samples were collected from the Dakota aquifer contained in the Dakota Sandstone, 3 from the Niobrara aquifer contained in the Niobrara Formation of Colorado Group, and 6 from Paleozoic aquifers contained in undifferentiated Paleozoic-age units.</p><p>The results of this study indicate that major ion data collected from the Dakota aquifer can be used for assessing the quality, recharge source, and age of groundwater. Calcium bicarbonate dominant samples were characterized as modern or mixed, indicating that, in these areas, groundwater is unconfined and is recharged by precipitation and (or) surface water. If groundwater extraction rates exceed recharge rates, total dissolved solid concentrations may increase as a result of upwelling of groundwater from deeper units or formations, which can adversely affect groundwater quality. Sampling results presented in this report indicate water quality is good, but that groundwater in the Dakota aquifer with calcium bicarbonate water type may be vulnerable to surface contamination. In contrast, groundwater sampled from the Dakota aquifer, having a dominant water type other than calcium bicarbonate, generally has low dissolved oxygen and nitrate concentrations, and higher concentrations of total dissolved solids and trace elements, including iron and strontium. The geochemical characteristics of noncalcium bicarbonate samples from the Dakota aquifer indicated confining conditions and limited groundwater recharge from local precipitation. Apparent groundwater ages estimated from radiocarbon (carbon-14) sampling of noncalcium bicarbonate samples from the Dakota aquifer indicated that the time of groundwater recharge to the Dakota aquifer occurred during Pleistocene time. Depleted stable isotopes results indicate recharge during a colder climate. Groundwater under confined conditions is not easily recharged from precipitation or surface water. Future groundwater-level monitoring in locations where the Dakota aquifer appears to be confined could provide information to evaluate whether groundwater supplies remain sufficient to meet future municipal, domestic, and irrigation needs.</p><p>For the Niobrara aquifer and Paleozoic aquifers, the dominant water type was not a diagnostic indicator of recharge source, age, and groundwater quality as with the Dakota aquifer. Most likely this is because the host formation was dominated by calcium-carbonate-rich rocks; however, few samples were collected from these aquifers to be able to confirm this interpretation. Samples collected from wells completed in the Niobrara aquifer and Paleozoic aquifers and characterized as calcium sulfate water type have statistically significantly higher concentrations of total dissolved solids compared to other samples from the Niobrara aquifer and Paleozoic aquifers characterized as calcium bicarbonate. Given that six of the nine of samples collected from the Niobrara and Paleozoic aquifers indicated modern recharge, these secondary bedrock aquifers are reliant on precipitation to sustain groundwater levels and may be vulnerable to a multiyear drought. Well yields of the Niobrara and Paleozoic aquifers are dependent on the presence of secondary porosity and these units offer little storage. Samples collected from wells completed in Paleozoic aquifers were the most isotopically enriched and similar to modern precipitation and had the highest concentrations of nitrate, indicating that groundwater is affected by agricultural activities. Future groundwater sampling would be beneficial to characterize groundwater-quality changes within the Niobrara and Paleozoic aquifers over time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215055","collaboration":"Prepared in cooperation with the Eastern Nebraska Water Resources Assessment","usgsCitation":"Hobza, C.M., and Flynn, A.T., 2021, Groundwater quality and age of secondary bedrock aquifers in the glaciated portion of eastern Nebraska, 2016–18: U.S. Geological Survey Scientific Investigations Report 2021–5055, 42 p., https://doi.org/10.3133/sir20215055.","productDescription":"Report: viii, 42 p.; Dataset","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-122775","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":387641,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":387643,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5055/sir20215055.XML","linkFileType":{"id":8,"text":"xml"}},{"id":387642,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5055/images"},{"id":387640,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5055/sir20215055.pdf","text":"Report","size":"2.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5055"},{"id":387639,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5055/coverthb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          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Setting</li><li>Previous Studies</li><li>Study Design and Methods</li><li>Quality and Age of Groundwater</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-08-04","noUsgsAuthors":false,"publicationDate":"2021-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flynn, Amanda T. 0000-0001-9768-2076 aflynn@usgs.gov","orcid":"https://orcid.org/0000-0001-9768-2076","contributorId":176644,"corporation":false,"usgs":true,"family":"Flynn","given":"Amanda","email":"aflynn@usgs.gov","middleInitial":"T.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820457,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70222622,"text":"70222622 - 2021 - Dynamic selection for forage quality and quantity in response to phenology and insects in an Arctic ungulate","interactions":[],"lastModifiedDate":"2021-09-14T16:47:51.234939","indexId":"70222622","displayToPublicDate":"2021-08-04T08:15:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic selection for forage quality and quantity in response to phenology and insects in an Arctic ungulate","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Spatiotemporal variation in forage is a primary driver of ungulate behavior, yet little is known about the nutritional components they select, and how selection varies across the growing season with changes in forage quality and quantity. We addressed these uncertainties in barren-ground caribou (<i>Rangifer tarandus</i>), which experience their most important foraging opportunities during the short Arctic summer. Recent declines in Arctic caribou populations have raised concerns about the influence of climate change on summer foraging opportunities, given shifting vegetation conditions and insect harassment, and their potential effects on caribou body condition and demography. We examined Arctic caribou selection of summer forage by pairing locations from females in the Central Arctic Herd of Alaska with spatiotemporal predictions of biomass, digestible nitrogen (DN), and digestible energy (DE). We then assessed selection for these nutritional components across the growing season at landscape and patch scales, and determined whether foraging opportunities were constrained by insect harassment. During early summer, at the landscape scale, caribou selected for intermediate biomass and high DN and DE, following expectations of the forage maturation hypothesis. At the patch scale, however, caribou selected for high values of all forage components, particularly DN, suggesting that protein may be limiting. During late summer, after DN declined below the threshold for protein gain, caribou exhibited a switch at both spatial scales, selecting for higher biomass, likely enabling mass and fat deposition. Mosquito activity strongly altered caribou selection of forage and increased their movement rates, while oestrid fly activity had little influence. Our results demonstrate that early and late summer periods afford Arctic caribou distinct foraging opportunities, as they prioritize quality earlier in the summer and quantity later. Climate change may further constrain caribou access to DN as earlier, warmer Arctic summers may be associated with reduced DN and increased mosquito harassment.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7852","usgsCitation":"Johnson, H.E., Golden, T., Adams, L., Gustine, D., Lenart, E.A., and Barboza, P., 2021, Dynamic selection for forage quality and quantity in response to phenology and insects in an Arctic ungulate: Ecology and Evolution, v. 11, no. 17, p. 11664-11688, https://doi.org/10.1002/ece3.7852.","productDescription":"15 p.","startPage":"11664","endPage":"11688","ipdsId":"IP-121045","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":451277,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.7852","text":"External Repository"},{"id":436248,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7JQ106W","text":"USGS data release","linkHelpText":"Caribou Forage and Soil Data, North Slope of Alaska, 2011-2014"},{"id":387774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -153.984375,\n              66.80922097449334\n            ],\n            [\n              -140.9765625,\n              66.80922097449334\n            ],\n            [\n              -140.9765625,\n              70.9883492241249\n            ],\n            [\n              -153.984375,\n              70.9883492241249\n            ],\n            [\n              -153.984375,\n              66.80922097449334\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"17","noUsgsAuthors":false,"publicationDate":"2021-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":820793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golden, Trevor","contributorId":221421,"corporation":false,"usgs":false,"family":"Golden","given":"Trevor","affiliations":[{"id":40372,"text":"Axiom Data Science (formerly with USGS)","active":true,"usgs":false}],"preferred":false,"id":820794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":820795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":820796,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lenart, Elizabeth A.","contributorId":209732,"corporation":false,"usgs":false,"family":"Lenart","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":820797,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barboza, Perry","contributorId":190361,"corporation":false,"usgs":false,"family":"Barboza","given":"Perry","affiliations":[],"preferred":false,"id":820798,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223507,"text":"70223507 - 2021 - Spatiotemporal methane emission from global reservoirs","interactions":[],"lastModifiedDate":"2021-08-31T13:12:49.650141","indexId":"70223507","displayToPublicDate":"2021-08-04T08:09:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal methane emission from global reservoirs","docAbstract":"<div class=\"article-section__content en main\"><p>Inland aquatic systems, such as reservoirs, contribute substantially to global methane (CH<sub>4</sub>) emissions; yet are among the most uncertain components of the total CH<sub>4</sub><span>&nbsp;</span>budget. Reservoirs have received recent attention as they may generate high CH<sub>4</sub><span>&nbsp;</span>fluxes. Improved quantification of these CH<sub>4</sub><span>&nbsp;</span>fluxes, particularly their spatiotemporal distribution, is key to realistically incorporating them in CH<sub>4</sub><span>&nbsp;</span>modeling and budget studies. Here we report on a new global, gridded (0.25° lat&nbsp;×&nbsp;0.25° lon) study of reservoir CH<sub>4</sub><span>&nbsp;</span>emissions, accounting for new knowledge regarding reservoir areal extent and distribution, and spatiotemporal emission patterns influenced by diurnal variability, temperature-dependent seasonality, satellite-derived freeze-thaw dynamics, and eco-climatic zone. The results of this new data set comprise daily CH<sub>4</sub><span>&nbsp;</span>emissions throughout the full annual cycle and show that reservoirs cover 297&nbsp;×&nbsp;10<sup>3</sup>&nbsp;km<sup>2</sup><span>&nbsp;</span>globally and emit 10.1&nbsp;Tg&nbsp;CH<sub>4</sub>&nbsp;yr<sup>−1</sup><span>&nbsp;</span>(1σ uncertainty range of 7.2–12.9&nbsp;Tg&nbsp;CH<sub>4</sub>&nbsp;yr<sup>−1</sup>) from diffusive (1.2&nbsp;Tg&nbsp;CH<sub>4</sub>&nbsp;yr<sup>−1</sup>) and ebullitive (8.9&nbsp;Tg&nbsp;CH<sub>4</sub>&nbsp;yr<sup>−1</sup>) emission pathways. This analysis of reservoir CH<sub>4</sub><span>&nbsp;</span>emission addresses multiple gaps and uncertainties in previous studies and represents an important contribution to studies of the global CH<sub>4</sub><span>&nbsp;</span>budget. The new data sets and methodologies from this study provide a framework to better understand and model the current and future role of reservoirs in the global CH<sub>4</sub><span>&nbsp;</span>budget and to guide efforts to mitigate reservoir-related CH<sub>4</sub><span>&nbsp;</span>emissions.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006305","usgsCitation":"Johnson, M.S., Matthews, E., Bastviken, D., Deemer, B., Du, J., and Genovese, V., 2021, Spatiotemporal methane emission from global reservoirs: Journal of Geophysical Research: Biogeosciences, v. 126, no. 8, e2021JG006305, 19 p., https://doi.org/10.1029/2021JG006305.","productDescription":"e2021JG006305, 19 p.","ipdsId":"IP-127158","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":451279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2021jg006305","text":"Publisher Index Page"},{"id":388685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Matthew S mjjohnson@usgs.gov","contributorId":264951,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"S","affiliations":[{"id":54593,"text":"NASA Ames Research Center, Moffett Field, CA, USA","active":true,"usgs":false}],"preferred":false,"id":822226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthews, E","contributorId":264952,"corporation":false,"usgs":false,"family":"Matthews","given":"E","email":"","affiliations":[{"id":54594,"text":"Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA, USA","active":true,"usgs":false}],"preferred":false,"id":822227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastviken, D","contributorId":264953,"corporation":false,"usgs":false,"family":"Bastviken","given":"D","affiliations":[{"id":54595,"text":"Department of Thematic Studies - Environmental Change, Linköping University, Linköping, Sweden","active":true,"usgs":false}],"preferred":false,"id":822228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Du, Jinyang","contributorId":243108,"corporation":false,"usgs":false,"family":"Du","given":"Jinyang","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":822230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Genovese, V","contributorId":264954,"corporation":false,"usgs":false,"family":"Genovese","given":"V","email":"","affiliations":[{"id":54596,"text":"California State University - Monterey Bay, NASA Ames Research Center, Moffett Field, CA, USA","active":true,"usgs":false}],"preferred":false,"id":822231,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70224976,"text":"70224976 - 2021 - Temporal variations of de facto wastewater reuse and disinfection by-products in public water systems in the Shenandoah River watershed, USA","interactions":[],"lastModifiedDate":"2021-10-11T12:24:38.722753","indexId":"70224976","displayToPublicDate":"2021-08-04T07:22:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9376,"text":"Water Practice &Technology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variations of de facto wastewater reuse and disinfection by-products in public water systems in the Shenandoah River watershed, USA","docAbstract":"<div id=\"readSpeaker_2623051\"><div class=\"article-section-wrapper js-article-section js-content-section  \"><p>Temporal variations of<span>&nbsp;</span><i>de facto</i><span>&nbsp;</span>wastewater reuse are relevant to public drinking water systems (PWSs) that obtain water from surface sources. Variations in wastewater discharge flows, streamflow,<span>&nbsp;</span><i>de facto</i><span>&nbsp;</span>reuse, and disinfection by-products (DBPs – trihalomethane-4 [THM4] and haloacetic acid-5 [HAA5]) over an 18-year period were examined at 11 PWSs in the Shenandoah River watershed, using more than 25,000 data records, in gaged and ungaged reaches. The relationship of<span>&nbsp;</span><i>de facto</i><span>&nbsp;</span>reuse with DBPs by year and quarter at the PWSs was examined. A linear relationship was found between THM4 and<span>&nbsp;</span><i>de facto</i><span>&nbsp;</span>reuse on an annual average basis (<i>p</i><span>&nbsp;</span>= 0.050), as well as in quarters 3 (July – September) (<i>p</i><span>&nbsp;</span>= 0.032) and 4 (October – December) (<i>p</i><span>&nbsp;</span>= 0.031). Using a t-test (<i>p</i><span>&nbsp;</span>&lt; 0.05), the study also showed that there were significant differences in DBP levels for PWSs relative to 1%<span>&nbsp;</span><i>de facto</i><span>&nbsp;</span>reuse. This was found for THM4 based on annual average and quarter 1 (January – March) data, and for HAA5 based on quarter 3 data during the period of record.</p></div></div>","language":"English","publisher":"IWA Publishing","doi":"10.2166/wpt.2021.076","usgsCitation":"Weisman, R.J., Barber, L., Faunce, K.E., Rapp, J., and Ferreira, C.M., 2021, Temporal variations of de facto wastewater reuse and disinfection by-products in public water systems in the Shenandoah River watershed, USA: Water Practice &Technology, v. 16, no. 4, p. 1434-1445, https://doi.org/10.2166/wpt.2021.076.","productDescription":"12 p.","startPage":"1434","endPage":"1445","ipdsId":"IP-130549","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":451280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2166/wpt.2021.076","text":"Publisher Index Page"},{"id":390378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Shenandoah River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.189697265625,\n              39.67337039176558\n            ],\n            [\n              -80.474853515625,\n              37.47485808497102\n            ],\n            [\n              -79.9365234375,\n              37.23032838760387\n            ],\n            [\n              -78.673095703125,\n              37.47485808497102\n            ],\n            [\n              -77.47558593749999,\n              38.91668153637508\n            ],\n            [\n              -77.266845703125,\n              39.639537564366684\n            ],\n            [\n              -78.189697265625,\n              39.67337039176558\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Weisman, Richard J","contributorId":218952,"corporation":false,"usgs":false,"family":"Weisman","given":"Richard","email":"","middleInitial":"J","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":824986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","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}],"preferred":true,"id":824987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunce, Kaycee E. 0000-0002-9178-0692","orcid":"https://orcid.org/0000-0002-9178-0692","contributorId":224488,"corporation":false,"usgs":true,"family":"Faunce","given":"Kaycee","email":"","middleInitial":"E.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapp, Jennifer 0000-0003-2253-9886","orcid":"https://orcid.org/0000-0003-2253-9886","contributorId":218954,"corporation":false,"usgs":true,"family":"Rapp","given":"Jennifer","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferreira, Celso M","contributorId":218955,"corporation":false,"usgs":false,"family":"Ferreira","given":"Celso","email":"","middleInitial":"M","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":824990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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