Resource managers have been attempting to recover the kokanee (Oncorhynchus nerka) population in Lake Pend Oreille, Idaho for more than three decades using an annual stocking program and an experimental water-level management strategy. This study evaluated the effect of both management actions on kokanee recruitment. A bootstrap-based generalized Ricker model was used to test if wild kokanee recruitment was significantly influenced by water-level management, while accounting for error due to sampling variability and differential survival of wild- and hatchery-origin fish within age-classes. Wild kokanee exhibited a compensatory stock-recruitment relationship, whereas hatchery recruitment was positively and linearly related to stocking. The model did not identify a significant relationship between water level and wild kokanee recruitment. Density dependence and variable stocking appeared to explain the synchronized and cyclic recruitment of wild and hatchery fry.
","language":"English","publisher":"Washington State University Press","doi":"10.3955/046.092.0206","usgsCitation":"Whitlock, S., Quist, M.C., and Dux, A.M., 2018, Effects of water-level management and hatchery supplementation on kokanee recruitment in Lake Pend Oreille, Idaho, v. 92, no. 2, p. 136-148, https://doi.org/10.3955/046.092.0206.","productDescription":"13 p.","startPage":"136","endPage":"148","ipdsId":"IP-053519","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Lake Pend Oreille","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.69677734375,\n 47.93934692855592\n ],\n [\n -116.19415283203125,\n 47.93934692855592\n ],\n [\n -116.19415283203125,\n 48.32612605157941\n ],\n [\n -116.69677734375,\n 48.32612605157941\n ],\n [\n -116.69677734375,\n 47.93934692855592\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Whitlock, Steven L.","contributorId":267708,"corporation":false,"usgs":false,"family":"Whitlock","given":"Steven L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":831780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dux, Andrew M.","contributorId":212798,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":831781,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70236152,"text":"70236152 - 2018 - Warming is driving decreases in snow fractions while runoff efficiency remains mostly unchanged in snow-covered areas of the western United States","interactions":[],"lastModifiedDate":"2022-08-30T14:26:41.124038","indexId":"70236152","displayToPublicDate":"2018-05-01T09:19:40","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2344,"text":"Journal of Hydrometeorology","active":true,"publicationSubtype":{"id":10}},"title":"Warming is driving decreases in snow fractions while runoff efficiency remains mostly unchanged in snow-covered areas of the western United States","docAbstract":"Winter snowfall and accumulation is an important component of the surface water supply in the western United States. In these areas, increasing winter temperatures T associated with global warming can influence the amount of winter precipitation P that falls as snow S. In this study we examine long-term trends in the fraction of winter P that falls as S (Sfrac) for 175 hydrologic units (HUs) in snow-covered areas of the western United States for the period 1951–2014. Because S is a substantial contributor to runoff R across most of the western United States, we also examine long-term trends in water-year runoff efficiency [computed as water-year R/water-year P (Reff)] for the same 175 HUs. In that most S records are short in length, we use model-simulated S and R from a monthly water balance model. Results for Sfrac indicate long-term negative trends for most of the 175 HUs, with negative trends for 139 (~79%) of the HUs being statistically significant at a 95% confidence level (p = 0.05). Additionally, results indicate that the long-term negative trends in Sfrac have been largely driven by increases in T. In contrast, time series of Reff for the 175 HUs indicate a mix of positive and negative long-term trends, with few trends being statistically significant (at p = 0.05). Although there has been a notable shift in the timing of R to earlier in the year for most HUs, there have not been substantial decreases in water-year R for the 175 HUs.
","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JHM-D-17-0227.1","usgsCitation":"McCabe, G.J., Wolock, D.M., and Valentin, M., 2018, Warming is driving decreases in snow fractions while runoff efficiency remains mostly unchanged in snow-covered areas of the western United States: Journal of Hydrometeorology, v. 19, p. 803-814, https://doi.org/10.1175/JHM-D-17-0227.1.","productDescription":"12 p.","startPage":"803","endPage":"814","ipdsId":"IP-080058","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jhm-d-17-0227.1","text":"Publisher Index Page"},{"id":405909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.7734375,\n 32.39851580247402\n ],\n [\n -107.70996093749999,\n 31.840232667909365\n ],\n [\n -106.69921875,\n 33.394759218577995\n ],\n [\n -106.4794921875,\n 35.209721645221386\n ],\n [\n -104.67773437499999,\n 35.92464453144099\n ],\n [\n -104.7216796875,\n 37.64903402157866\n ],\n [\n -104.5458984375,\n 38.89103282648846\n ],\n [\n -104.94140625,\n 39.80853604144591\n ],\n [\n -104.80957031249999,\n 40.48038142908172\n ],\n [\n -105.64453124999999,\n 41.343824581185686\n ],\n [\n -104.94140625,\n 42.19596877629178\n ],\n [\n -106.787109375,\n 43.35713822211053\n ],\n [\n -106.6552734375,\n 44.308126684886126\n ],\n [\n -107.9296875,\n 45.36758436884978\n ],\n [\n -110.25878906249999,\n 45.85941212790755\n ],\n [\n -111.09374999999999,\n 46.76996843356982\n ],\n [\n -112.67578124999999,\n 47.66538735632654\n ],\n [\n -113.51074218749999,\n 49.06666839558117\n ],\n [\n -123.53027343749999,\n 49.06666839558117\n ],\n [\n -123.26660156249999,\n 48.37084770238366\n ],\n [\n -125.3759765625,\n 48.60385760823255\n ],\n [\n -124.4091796875,\n 45.336701909968134\n ],\n [\n -124.93652343749999,\n 43.004647127794435\n ],\n [\n -124.76074218749999,\n 40.38002840251183\n ],\n [\n -124.18945312500001,\n 38.75408327579141\n ],\n [\n -122.3876953125,\n 36.35052700542763\n ],\n [\n -120.9375,\n 34.19817309627726\n ],\n [\n -117.7734375,\n 32.39851580247402\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2018-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":850263,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valentin, Melissa","contributorId":202218,"corporation":false,"usgs":false,"family":"Valentin","given":"Melissa","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":850264,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70200606,"text":"70200606 - 2018 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU","interactions":[],"lastModifiedDate":"2018-11-21T09:14:01","indexId":"70200606","displayToPublicDate":"2018-05-01T09:13:26","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU","docAbstract":"The portion of the Snake River fall Chinook Salmon Oncorhynchus tshawytscha ESU that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2017 in association with U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on (1) numeric and habitat use responses by natural- and hatchery-origin spawners, (2) phenotypic and numeric responses by natural-origin juveniles, (3) USGS use of a small unmanned aerial system (sUAS) to search for fall Chinook salmon redds and carcasses, and (4) the detection of 8-mm PIT tags at Lower Granite Dam. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching redd capacity. Timing of spawning and fry emergence has been relatively stable; whereas the timing of parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier as apparent abundance of juveniles has increased. Growth rate (g/d) and dispersal size of parr also declined as apparent abundance of juveniles increased. Passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate faster as estimated abundance of fall Chinook Salmon smolts in Lower Granite Reservoir has increased. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir that was influenced by the expansion of the recovery program. The long-term goal is to use the information covered here in a comprehensive modeling effort to conduct action effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management RM&E.\n\nIn 2017, the USGS searched 15 shallow water spawning sites in conjunction with the Idaho Power Company (IPC). Redd counts agreed with those of IPC for a little more than half the sites suggesting that we need more training in redd counting. We recovered 67 carcasses, and tissue samples are currently being analyzed for parentage to ultimately determine the percentage of hatchery-origin spawners on the spawning grounds. Redd fading was examined to determine the frequency at which aerial surveys should be conducted. Most redds surveyed through time were visible for at least 4 weeks after the redd was initially constructed. Redd fading was variable amongst sites and depended on location.\n\nIn 2017, we conducted a second year of evaluating detection efficiency of 8-mm PIT tags in the Lower Granite Dam juvenile fish collection system. Groups of 75–78 fish were tagged\nwith 8-mm Biomark, 8-mm Oregon RFID, 9-mm Biomark, and 12-mm Biomark PIT tags and released into the bypass upstream of the upwell. From 97.4 to 100% (depending on tag type) of tagged fish were detected on at least one antenna in the Lower Granite Dam bypass system. Mean detection efficiency within the predominant passage route (i.e., diversion river exit) exceeded 0.98 for all tag types in both years. These results suggest that fish tagged in the field with 8-mm PIT tags should be detected at rates similar to larger tags at main-stem hydroelectric dams.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K., Plumb, J.M., Perry, R.W., Erhardt, J., Hemingway, R.J., Bickford, B., Rhodes, T., Connor, W., and Mullins, F.L., 2018, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River fall Chinook salmon ESU, 67 p.","productDescription":"67 p.","ipdsId":"IP-097295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":359627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":358776,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/DocumentViewer/P160478/75986-1.pdf"}],"country":"United States","otherGeospatial":"Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.35546875000001,\n 44.715513732021336\n ],\n [\n -114.6478271484375,\n 44.715513732021336\n ],\n [\n -114.6478271484375,\n 47.10378387099161\n ],\n [\n -119.35546875000001,\n 47.10378387099161\n ],\n [\n -119.35546875000001,\n 44.715513732021336\n ]\n ]\n ]\n }\n }\n ]\n}","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bf67cf5e4b045bfcae2cffe","contributors":{"authors":[{"text":"Tiffan, Kenneth 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":210058,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":749719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":751889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":751890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erhardt, John 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":210059,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":749720,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemingway, Rulon J. 0000-0001-8143-0325 rhemingway@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-0325","contributorId":194697,"corporation":false,"usgs":true,"family":"Hemingway","given":"Rulon","email":"rhemingway@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":751891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bickford, Brad 0000-0003-3756-6588 bbickford@usgs.gov","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":210056,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","email":"bbickford@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":749717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhodes, Tobyn N. 0000-0002-4023-4827","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":210057,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":749718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Connor, William P.","contributorId":115438,"corporation":false,"usgs":true,"family":"Connor","given":"William P.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":751892,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mullins, Frank L.","contributorId":146343,"corporation":false,"usgs":false,"family":"Mullins","given":"Frank","email":"","middleInitial":"L.","affiliations":[{"id":16677,"text":"U.S. Fish and Wildlife Service, Idaho Fishery Resource Office, 276 Dworshak Complex Drive, Orofino, ID 83544","active":true,"usgs":false}],"preferred":false,"id":751893,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70198860,"text":"70198860 - 2018 - Wetlands receiving water treated with coagulants improve water quality by removing dissolved organic carbon and disinfection byproduct precursors","interactions":[],"lastModifiedDate":"2018-08-24T12:12:27","indexId":"70198860","displayToPublicDate":"2018-05-01T07:55:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wetlands receiving water treated with coagulants improve water quality by removing dissolved organic carbon and disinfection byproduct precursors","docAbstract":"
Constructed wetlands are used worldwide to improve water quality while also providing critical wetland habitat. However, wetlands have the potential to negatively impact drinking water quality by exporting dissolved organic carbon (DOC) that upon disinfection can form disinfection byproducts (DBPs) like trihalomethanes (THMs) and haloacetic acids (HAAs). We used a replicated field-scale study located on organic rich soils in California's Sacramento-San Joaquin Delta to test whether constructed flow-through wetlands which receive water high in DOC that is treated with either iron- or aluminum-based coagulants can improve water quality with respect to DBP formation. Coagulation alone removed DOC (66–77%) and THM (67–70%) precursors, and was even more effective at removing HAA precursors (77–90%). Passage of water through the wetlands increased DOC concentrations (1.5–7.5 mg L− 1), particularly during the warmer summer months, thereby reversing some of the benefits from coagulant addition. Despite this addition, water exiting the wetlands treated with coagulants had lower DOC and DBP precursor concentrations relative to untreated source water. Benefits of the coagulation-wetland systems were greatest during the winter months (approx. 50–70% reduction in DOC and DBP precursor concentrations) when inflow water DOC concentrations were higher and wetland DOC production was lower. Optical properties suggest DOC in this system is predominantly comprised of high molecular weight, aromatic compounds, likely derived from degraded peat soils.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.11.205","usgsCitation":"Hansen, A., Kraus, T.E., Bachand, S.M., Horwath, W.R., and Bachand, P., 2018, Wetlands receiving water treated with coagulants improve water quality by removing dissolved organic carbon and disinfection byproduct precursors: Science of the Total Environment, v. 622-623, p. 603-613, https://doi.org/10.1016/j.scitotenv.2017.11.205.","productDescription":"11 p.","startPage":"603","endPage":"613","ipdsId":"IP-084915","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":468789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.11.205","text":"Publisher Index Page"},{"id":356678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"622-623","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a2d0e4b0702d0e842ff5","contributors":{"authors":[{"text":"Hansen, Angela M. 0000-0003-0938-7611","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":204702,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachand, Sandra M.","contributorId":147304,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":743116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horwath, William R.","contributorId":147305,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":7246,"text":"University of California, Davis, CA, USA","active":true,"usgs":false}],"preferred":false,"id":743118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bachand, Philip","contributorId":81013,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":743117,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216330,"text":"70216330 - 2018 - Genetic structure in Elk persists after translocation","interactions":[],"lastModifiedDate":"2020-11-12T13:47:07.095085","indexId":"70216330","displayToPublicDate":"2018-05-01T07:43:28","publicationYear":"2018","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":"Genetic structure in Elk persists after translocation","docAbstract":"Elk (Cervus canadensis) translocation success is thought to be facilitated by high post‐release herd cohesion and limited movements; both should ensure genetic mixing following release. Such mixing is important to reduce potential effects of inbreeding or genetic drift, which can be especially important in small founding populations. We had a natural experiment where we could evaluate genetic mixing of 2 distinct lineages of elk after translocation to the same area. Founding elk ultimately came from north and south of a road barrier at Elk Island National Park (EINPN or EINPS, respectively), Alberta, Canada and the 2 groups were genetically distinct. During 2000 to 2003, elk originating from Elk Island National Park were translocated to Cumberland Mountains, Tennessee (TNCM) and Great Smoky Mountains National Park, North Carolina (GSMNP), USA (some elk spent time at Land Between the Lakes Recreation Area, Kentucky, USA, before their final translocation). At TNCM, translocated elk were hard released, whereas at GSMNP elk were held in pens up to 60 days before release (i.e., soft release). We hypothesized that associations formed in the source population would affect genetic structure in the future population. We predicted that matrilineal groups would stay closer together and have similar movements after translocation. We used 16 microsatellite markers to analyze genetic composition and structure of translocated elk and their offspring in the years after release. Most source elk used for translocation strongly assigned to either EINPN or EINPS (93.2%, n = 204). Evaluating the genetic structure of offspring after translocation, we found the 2 genetic groups mostly persisted ≥11 years following release. We measured the Euclidean distance between all possible pairs of telemetered female elk during each season and year and calculated the maximum distance moved from the release sites for females surviving >1 year. Mean Euclidean distances between pairwise locations of female elk were similar for each genetic cluster for each area. The mean distances for all paired locations (genetic clusters combined) in TNCM were 14.67 km (n = 4,576 ± 13.23 [SD]) and in GSMNP were 9.30 km (n = 1,468 ± 9.75). However, when looking at only simultaneous locations <50 m apart, the frequency of occurrence was higher (P < 0.001) for elk with the same genetic structure (71.1%) compared with those with different structure (28.9%). The maximum distance travelled from the release site was not different for the 2 genetic groups, but EINPN females tended to travel farther. Pairwise female distances were lower in GSMNP where we used a soft release. Release methodology and social structure appear to affect movements and possibly genetic mixing after translocation. Given that restoration success can depend on maintaining genetic diversity and number of founders, our analyses suggest that within‐cluster breeding bias can result in lower genetic variability and a smaller effective population size than previously assumed.
Monitoring animal populations is central to wildlife and fisheries management, and the use of N-mixture models toward these efforts has markedly increased in recent years. Nevertheless, relatively little work has evaluated estimator performance when basic assumptions are violated. Moreover, diagnostics to identify when bias in parameter estimates from N-mixture models is likely is largely unexplored. We simulated count data sets using 837 combinations of detection probability, number of sample units, number of survey occasions, and type and extent of heterogeneity in abundance or detectability. We fit Poisson N-mixture models to these data, quantified the bias associated with each combination, and evaluated if the parametric bootstrap goodness-of-fit (GOF) test can be used to indicate bias in parameter estimates. We also explored if assumption violations can be diagnosed prior to fitting N-mixture models. In doing so, we propose a new model diagnostic, which we term the quasi-coefficient of variation (QCV). N-mixture models performed well when assumptions were met and detection probabilities were moderate (i.e., ≥0.3), and the performance of the estimator improved with increasing survey occasions and sample units. However, the magnitude of bias in estimated mean abundance with even slight amounts of unmodeled heterogeneity was substantial. The parametric bootstrap GOF test did not perform well as a diagnostic for bias in parameter estimates when detectability and sample sizes were low. The results indicate the QCV is useful to diagnose potential bias and that potential bias associated with unidirectional trends in abundance or detectability can be diagnosed using Poisson regression. This study represents the most thorough assessment to date of assumption violations and diagnostics when fitting N-mixture models using the most commonly implemented error distribution. Unbiased estimates of population state variables are needed to properly inform management decision making. Therefore, we also discuss alternative approaches to yield unbiased estimates of population state variables using similar data types, and we stress that there is no substitute for an effective sample design that is grounded upon well-defined management objectives.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2018.02.007","usgsCitation":"Duarte, A., Adams, M.J., and Peterson, J., 2018, Fitting N-mixture models to count data with unmodeled heterogeneity: Bias, diagnostics, and alternative approaches: Ecological Modelling, v. 374, p. 51-59, https://doi.org/10.1016/j.ecolmodel.2018.02.007.","productDescription":"9 p.","startPage":"51","endPage":"59","ipdsId":"IP-090875","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2018.02.007","text":"Publisher Index Page"},{"id":353873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6cce4b0da30c1bfbe16","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":79822,"corporation":false,"usgs":true,"family":"Duarte","given":"Adam","email":"","affiliations":[],"preferred":false,"id":734395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, M. J. 0000-0001-8844-042X mjadams@usgs.gov","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":3133,"corporation":false,"usgs":false,"family":"Adams","given":"M.","email":"mjadams@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":734312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734311,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196986,"text":"70196986 - 2018 - The non-linear, interactive effects of population density and climate drive the geographical patterns of waterfowl survival","interactions":[],"lastModifiedDate":"2018-05-15T16:34:47","indexId":"70196986","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The non-linear, interactive effects of population density and climate drive the geographical patterns of waterfowl survival","docAbstract":"On-going climate change has major impacts on ecological processes and patterns. Understanding the impacts of climate on the geographical patterns of survival can provide insights to how population dynamics respond to climate change and provide important information for the development of appropriate conservation strategies at regional scales. It is challenging to understand the impacts of climate on survival, however, due to the fact that the non-linear relationship between survival and climate can be modified by density-dependent processes. In this study we extended the Brownie model to partition hunting and non-hunting mortalities and linked non-hunting survival to covariates. We applied this model to four decades (1972–2014) of waterfowl band-recovery, breeding population survey, and precipitation and temperature data covering multiple ecological regions to examine the non-linear, interactive effects of population density and climate on waterfowl non-hunting survival at a regional scale. Our results showed that the non-linear effect of temperature on waterfowl non-hunting survival was modified by breeding population density. The concave relationship between non-hunting survival and temperature suggested that the effects of warming on waterfowl survival might be multifaceted. Furthermore, the relationship between non-hunting survival and temperature was stronger when population density was higher, suggesting that high-density populations may be less buffered against warming than low-density populations. Our study revealed distinct relationships between waterfowl non-hunting survival and climate across and within ecological regions, highlighting the importance of considering different conservation strategies according to region-specific population and climate conditions. Our findings and associated novel modelling approach have wide implications in conservation practice.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2018.02.024","usgsCitation":"Zhao, Q., Boomer, G., and Kendall, W.L., 2018, The non-linear, interactive effects of population density and climate drive the geographical patterns of waterfowl survival: Biological Conservation, v. 221, p. 1-9, https://doi.org/10.1016/j.biocon.2018.02.024.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-091712","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"221","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbdf6","contributors":{"authors":[{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":735451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, G. Scott","contributorId":84603,"corporation":false,"usgs":true,"family":"Boomer","given":"G. Scott","affiliations":[],"preferred":false,"id":735452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735184,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70196766,"text":"70196766 - 2018 - Seasonal food habits of introduced blue catfish in Lake Oconee, Georgia","interactions":[],"lastModifiedDate":"2018-05-01T13:41:13","indexId":"70196766","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal food habits of introduced blue catfish in Lake Oconee, Georgia","docAbstract":"Blue catfish (Ictalurus furcatus) are native to the Coosa River drainage in northwest Georgia but have been widely introduced outside of this range including Lake Oconee, a 7677-ha impoundment on the Oconee River in central Georgia. Blue catfish abundance and growth rates have increased dramatically since their introduction in Lake Oconee, but their food habits are unknown. Therefore, food habits of blue catfish in this impoundment were determined by examining the stomachs of 808 specimens in the reservoir’s upper and lower regions across all seasons from summer 2012 to summer 2013. Diet was summarized using the Relative Importance of specific prey by weight. In the upper region of the reservoir, Asian clams (Corbicula fluminea) were the dominant prey item during the summer (75.7%), fall (66.4%), and winter (37.6%); whereas crappie (Pomoxis spp.) was the dominant prey item in the spring (38.7%). Asian clams also were the dominant prey items in the lower region during the fall (68.4%), winter (33.9%), and spring (36.4%). Blue catfish seemed to feed opportunistically on seasonally abundant prey items in both the upper riverine and lower lacustrine portions of the reservoir. Of the many sportfishes in the reservoir, only crappie was an important prey item, and then only in the upper region during the spring. Our results do not support concerns that blue catfish are an apex predator that would decimate the sportfish assemblage in this recently colonized reservoir.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Jennings, C.A., Mitchell, G.E., and Nelson, C., 2018, Seasonal food habits of introduced blue catfish in Lake Oconee, Georgia: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 5, p. 39-45.","productDescription":"7 p.","startPage":"39","endPage":"45","ipdsId":"IP-087505","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353858,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=402097"}],"country":"United States","state":"Georgia","otherGeospatial":"Lake Oconee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.37867736816406,\n 33.34085428063472\n ],\n [\n -83.13285827636719,\n 33.34085428063472\n ],\n [\n -83.13285827636719,\n 33.66435367627463\n ],\n [\n -83.37867736816406,\n 33.66435367627463\n ],\n [\n -83.37867736816406,\n 33.34085428063472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6cde4b0da30c1bfbe1a","contributors":{"authors":[{"text":"Jennings, Cecil A. 0000-0002-6159-6026 jennings@usgs.gov","orcid":"https://orcid.org/0000-0002-6159-6026","contributorId":874,"corporation":false,"usgs":true,"family":"Jennings","given":"Cecil","email":"jennings@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Geoffrey E.","contributorId":204588,"corporation":false,"usgs":false,"family":"Mitchell","given":"Geoffrey","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":734428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, Chris","contributorId":204589,"corporation":false,"usgs":false,"family":"Nelson","given":"Chris","email":"","affiliations":[],"preferred":false,"id":734429,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70197310,"text":"70197310 - 2018 - Wildlife habitat management on college and university campuses","interactions":[],"lastModifiedDate":"2018-05-29T15:49:53","indexId":"70197310","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5704,"text":"Cities and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife habitat management on college and university campuses","docAbstract":"With the increasing involvement of higher education institutions in sustainability movements, it remains unclear to what extent college and university campuses address wildlife habitat. Many campuses encompass significant areas of green space with potential to support diverse wildlife taxa. However, sustainability rating systems generally emphasize efforts like recycling and energy conservation over green landscaping and grounds maintenance. We sought to examine the types of wildlife habitat projects occurring at schools across the United States and whether or not factors like school type (public or private), size (number of students), urban vs. rural setting, and funding played roles in the implementation of such initiatives. Using case studies compiled by the National Wildlife Federation’s Campus Ecology program, we documented wildlife habitat-related projects at 60 campuses. Ten management actions derived from nationwide guidelines were used to describe the projects carried out by these institutions, and we recorded data about cost, funding, and outreach and education methods. We explored potential relationships among management actions and with school characteristics. We extracted themes in project types, along with challenges and responses to those challenges. Native plant species selection and sustainable lawn maintenance and landscaping were the most common management actions among the 60 campuses. According to the case studies we examined, we found that factors like school type, size, and location did not affect the engagement of a campus in wildlife habitat initiatives, nor did they influence the project expenditures or funding received by a campus. Our results suggest that many wildlife habitat initiatives are feasible for higher education institutions and may be successfully implemented at relatively low costs through simple, but deliberate management actions.
","language":"English","publisher":"Loyola Marymount University","usgsCitation":"Bosci, T., Warren, P.S., Harper, R.W., and DeStefano, S., 2018, Wildlife habitat management on college and university campuses: Cities and the Environment, v. 11, no. 1, p. 1-14.","productDescription":"Article 1; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-072274","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354529,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.lmu.edu/cate/vol11/iss1/1"}],"volume":"11","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d84e4b092d9651e1b63","contributors":{"authors":[{"text":"Bosci, Tierney","contributorId":205236,"corporation":false,"usgs":false,"family":"Bosci","given":"Tierney","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":736614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Paige S.","contributorId":205237,"corporation":false,"usgs":false,"family":"Warren","given":"Paige","email":"","middleInitial":"S.","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":736615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harper, Rick W.","contributorId":205262,"corporation":false,"usgs":false,"family":"Harper","given":"Rick","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":736616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":736613,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196777,"text":"70196777 - 2018 - Method to characterize inorganic particulates in lung tissue biopsies using field emission scanning electron microscopy","interactions":[],"lastModifiedDate":"2018-07-23T13:02:25","indexId":"70196777","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5681,"text":"Toxicology Mechanisms and Methods ","active":true,"publicationSubtype":{"id":10}},"title":"Method to characterize inorganic particulates in lung tissue biopsies using field emission scanning electron microscopy","docAbstract":"Humans accumulate large numbers of inorganic particles in their lungs over a lifetime. Whether this causes or contributes to debilitating disease over a normal lifespan depends on the type and concentration of the particles. We developed and tested a protocol for in situ characterization of the types and distribution of inorganic particles in biopsied lung tissue from three human groups using field emission scanning electron microscopy (FE-SEM) combined with energy dispersive spectroscopy (EDS). Many distinct particle types were recognized among the 13 000 particles analyzed. Silica, feldspars, clays, titanium dioxides, iron oxides and phosphates were the most common constituents in all samples. Particles were classified into three general groups: endogenous, which form naturally in the body; exogenic particles, natural earth materials; and anthropogenic particles, attributed to industrial sources. These in situ results were compared with those using conventional sodium hypochlorite tissue digestion and particle filtration. With the exception of clays and phosphates, the relative abundances of most common particle types were similar in both approaches. Nonetheless, the digestion/filtration method was determined to alter the texture and relative abundances of some particle types. SEM/EDS analysis of digestion filters could be automated in contrast to the more time intensive in situ analyses.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15376516.2018.1449042","usgsCitation":"Lowers, H.A., Breit, G.N., Strand, M., Pillers, R.M., Meeker, G.P., Todorov, T.I., Plumlee, G.S., Wolf, R., Robinson, M., Parr, J., Miller, R.J., Groshong, S., Green, F., and Rose, C., 2018, Method to characterize inorganic particulates in lung tissue biopsies using field emission scanning electron microscopy: Toxicology Mechanisms and Methods , v. 28, no. 7, p. 475-487, https://doi.org/10.1080/15376516.2018.1449042.","productDescription":"13 p.","startPage":"475","endPage":"487","ipdsId":"IP-089757","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":468792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15376516.2018.1449042","text":"Publisher Index Page"},{"id":353867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-23","publicationStatus":"PW","scienceBaseUri":"5afee6cce4b0da30c1bfbe12","contributors":{"authors":[{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":734324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breit, George N. 0000-0003-2188-6798 gbreit@usgs.gov","orcid":"https://orcid.org/0000-0003-2188-6798","contributorId":1480,"corporation":false,"usgs":true,"family":"Breit","given":"George","email":"gbreit@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":734325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Strand, Matthew","contributorId":204550,"corporation":false,"usgs":false,"family":"Strand","given":"Matthew","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":734326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":734327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meeker, Gregory P.","contributorId":62974,"corporation":false,"usgs":true,"family":"Meeker","given":"Gregory","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":734328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Todorov, Todor I. ttodorov@usgs.gov","contributorId":1605,"corporation":false,"usgs":true,"family":"Todorov","given":"Todor","email":"ttodorov@usgs.gov","middleInitial":"I.","affiliations":[],"preferred":true,"id":734329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":204552,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":true,"id":734330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolf, Ruth E. 0000-0002-2361-7340","orcid":"https://orcid.org/0000-0002-2361-7340","contributorId":195465,"corporation":false,"usgs":false,"family":"Wolf","given":"Ruth E.","affiliations":[{"id":35727,"text":"PerkinElmer, Incorporated","active":true,"usgs":false}],"preferred":false,"id":734331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Robinson, Maura","contributorId":204553,"corporation":false,"usgs":false,"family":"Robinson","given":"Maura","email":"","affiliations":[],"preferred":false,"id":734332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parr, Jane","contributorId":204554,"corporation":false,"usgs":false,"family":"Parr","given":"Jane","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":734333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miller, Robert J.","contributorId":176277,"corporation":false,"usgs":false,"family":"Miller","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734334,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Groshong, Steve","contributorId":204555,"corporation":false,"usgs":false,"family":"Groshong","given":"Steve","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":734335,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Green, Francis","contributorId":204556,"corporation":false,"usgs":false,"family":"Green","given":"Francis","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":734336,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rose, Cecile","contributorId":204557,"corporation":false,"usgs":false,"family":"Rose","given":"Cecile","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":734337,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70196821,"text":"70196821 - 2018 - Reduced arctic tundra productivity linked with landform and climate change interactions","interactions":[],"lastModifiedDate":"2018-05-03T13:48:20","indexId":"70196821","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Reduced arctic tundra productivity linked with landform and climate change interactions","docAbstract":"Arctic tundra ecosystems have experienced unprecedented change associated with climate warming over recent decades. Across the Pan-Arctic, vegetation productivity and surface greenness have trended positively over the period of satellite observation. However, since 2011 these trends have slowed considerably, showing signs of browning in many regions. It is unclear what factors are driving this change and which regions/landforms will be most sensitive to future browning. Here we provide evidence linking decadal patterns in arctic greening and browning with regional climate change and local permafrost-driven landscape heterogeneity. We analyzed the spatial variability of decadal-scale trends in surface greenness across the Arctic Coastal Plain of northern Alaska (~60,000 km²) using the Landsat archive (1999–2014), in combination with novel 30 m classifications of polygonal tundra and regional watersheds, finding landscape heterogeneity and regional climate change to be the most important factors controlling historical greenness trends. Browning was linked to increased temperature and precipitation, with the exception of young landforms (developed following lake drainage), which will likely continue to green. Spatiotemporal model forecasting suggests carbon uptake potential to be reduced in response to warmer and/or wetter climatic conditions, potentially increasing the net loss of carbon to the atmosphere, at a greater degree than previously expected.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-018-20692-8","usgsCitation":"Lara, M.J., Nitze, I., Grosse, G., Martin, P., and McGuire, A.D., 2018, Reduced arctic tundra productivity linked with landform and climate change interactions: Scientific Reports, v. 8, Article 2345; 10 p., https://doi.org/10.1038/s41598-018-20692-8.","productDescription":"Article 2345; 10 p.","ipdsId":"IP-085871","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-20692-8","text":"Publisher Index Page"},{"id":353942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-05","publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbe02","contributors":{"authors":[{"text":"Lara, Mark J.","contributorId":194640,"corporation":false,"usgs":false,"family":"Lara","given":"Mark","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":734605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nitze, Ingmar","contributorId":191057,"corporation":false,"usgs":false,"family":"Nitze","given":"Ingmar","affiliations":[],"preferred":false,"id":734606,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":734607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Philip","contributorId":204661,"corporation":false,"usgs":false,"family":"Martin","given":"Philip","affiliations":[{"id":27594,"text":"Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":734608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":734604,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70197463,"text":"70197463 - 2018 - Enhancing quantitative approaches for assessing community resilience","interactions":[],"lastModifiedDate":"2018-06-05T14:57:34","indexId":"70197463","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing quantitative approaches for assessing community resilience","docAbstract":"Scholars from many different intellectual disciplines have attempted to measure, estimate, or quantify resilience. However, there is growing concern that lack of clarity on the operationalization of the concept will limit its application. In this paper, we discuss the theory, research development and quantitative approaches in ecological and community resilience. Upon noting the lack of methods that quantify the complexities of the linked human and natural aspects of community resilience, we identify several promising approaches within the ecological resilience tradition that may be useful in filling these gaps. Further, we discuss the challenges for consolidating these approaches into a more integrated perspective for managing social-ecological systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2018.01.083","usgsCitation":"Chuang, W.C., Garmestani, A., Eason, T.N., Spanbauer, T., Fried-Peterson, H.B., Roberts, C.P., Sundstrom, S.M., Burnett, J., Angeler, D.G., Chaffin, B.C., Gunderson, L., Twidwell, D., and Allen, C.R., 2018, Enhancing quantitative approaches for assessing community resilience: Journal of Environmental Management, v. 213, p. 353-362, https://doi.org/10.1016/j.jenvman.2018.01.083.","productDescription":"10 p.","startPage":"353","endPage":"362","ipdsId":"IP-095049","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6748383","text":"Publisher Index Page"},{"id":354731,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"213","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e58ee4b060350a15d1d6","contributors":{"authors":[{"text":"Chuang, W. C.","contributorId":205436,"corporation":false,"usgs":false,"family":"Chuang","given":"W.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, A.S.","contributorId":86882,"corporation":false,"usgs":true,"family":"Garmestani","given":"A.S.","email":"","affiliations":[],"preferred":false,"id":737292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eason, T. N.","contributorId":205437,"corporation":false,"usgs":false,"family":"Eason","given":"T.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spanbauer, T. L.","contributorId":205438,"corporation":false,"usgs":false,"family":"Spanbauer","given":"T. L.","affiliations":[],"preferred":false,"id":737294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fried-Peterson, H. 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P.","contributorId":189791,"corporation":false,"usgs":false,"family":"Roberts","given":"C.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundstrom, Shana M.","contributorId":7159,"corporation":false,"usgs":true,"family":"Sundstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":737297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burnett, J.L.","contributorId":189790,"corporation":false,"usgs":false,"family":"Burnett","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":737298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Angeler, David G.","contributorId":205240,"corporation":false,"usgs":false,"family":"Angeler","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":37065,"text":"Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":737299,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737300,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gunderson, L.","contributorId":205440,"corporation":false,"usgs":false,"family":"Gunderson","given":"L.","email":"","affiliations":[],"preferred":false,"id":737301,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":737302,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":737277,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70196898,"text":"70196898 - 2018 - Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA","interactions":[],"lastModifiedDate":"2018-05-17T15:35:17","indexId":"70196898","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1722,"text":"GIScience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA","docAbstract":"Data fused from distinct but complementary satellite sensors mitigate tradeoffs that researchers make when selecting between spatial and temporal resolutions of remotely sensed data. We integrated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Terra satellite and the Operational Land Imager sensor aboard the Landsat 8 satellite into four regression-tree models and applied those data to a mapping application. This application produced downscaled maps that utilize the 30-m spatial resolution of Landsat in conjunction with daily acquisitions of MODIS normalized difference vegetation index (NDVI) that are composited and temporally smoothed. We produced four weekly, atmospherically corrected, and nearly cloud-free, downscaled 30-m synthetic MODIS NDVI predictions (maps) built from these models. Model results were strong with R2 values ranging from 0.74 to 0.85. The correlation coefficients (r ≥ 0.89) were strong for all predictions when compared to corresponding original MODIS NDVI data. Downscaled products incorporated into independently developed sagebrush ecosystem models yielded mixed results. The visual quality of the downscaled 30-m synthetic MODIS NDVI predictions were remarkable when compared to the original 250-m MODIS NDVI. These 30-m maps improve knowledge of dynamic rangeland seasonal processes in the central Great Basin, United States, and provide land managers improved resource maps.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15481603.2017.1382065","usgsCitation":"Boyte, S.P., Wylie, B.K., Rigge, M.B., and Dahal, D., 2018, Fusing MODIS with Landsat 8 data to downscale weekly normalized difference vegetation index estimates for central Great Basin rangelands, USA: GIScience and Remote Sensing, v. 55, no. 3, p. 376-399, https://doi.org/10.1080/15481603.2017.1382065.","productDescription":"24 p.","startPage":"376","endPage":"399","ipdsId":"IP-087872","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499993,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/d0da5ee1cd9c49fab95dfe363f4d48a7","text":"External Repository"},{"id":437930,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7R20ZVX","text":"USGS data release","linkHelpText":"Downscaled 30 m weekly MODIS NDVI for the Central Great Basin"},{"id":354284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin rangelands","volume":"55","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-28","publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbdfc","contributors":{"authors":[{"text":"Boyte, Stephen P. 0000-0002-5462-3225 sboyte@usgs.gov","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":139238,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen","email":"sboyte@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":734937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":734938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigge, Matthew B. 0000-0003-4471-8009 mrigge@usgs.gov","orcid":"https://orcid.org/0000-0003-4471-8009","contributorId":751,"corporation":false,"usgs":true,"family":"Rigge","given":"Matthew","email":"mrigge@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":734939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahal, Devendra 0000-0001-9594-1249 ddahal@usgs.gov","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":5622,"corporation":false,"usgs":true,"family":"Dahal","given":"Devendra","email":"ddahal@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":734940,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196873,"text":"70196873 - 2018 - Pacific Northwest Aquatic Monitoring Partnership 2017 Annual Report","interactions":[],"lastModifiedDate":"2018-05-08T13:25:02","indexId":"70196873","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Pacific Northwest Aquatic Monitoring Partnership 2017 Annual Report","docAbstract":"The Pacific Northwest Aquatic Monitoring Partnership (PNAMP) continued to promote the integration of monitoring resources and development of tools to support monitoring in 2017. Improved coordination and integration of goals, objectives, and activities among Pacific Northwest monitoring programs is essential to improving the quality and consistency of monitoring in the region.
PNAMP operates through inter-organizational teams to make progress on a variety of projects identified to support partner needs and PNAMP goals. These teams are largely ad hoc and formed for the specific purpose of achieving the objectives of the identified projects. For each project, the PNAMP Coordination Team identified interested Steering Committee (SC) members and subject matter experts to form the working teams that provide guidance and leadership. In addition, the teams acted as an intermediate between the larger group of interested participants and the SC, thus maintaining the concept of better SC/participant exchange. The PNAMP Coordination Team continued to facilitate dialog among experts to move forward with ongoing and new projects. In addition, the Coordination Team continued their efforts to track in-kind contributions of time from participants at meetings, workshops, and other PNAMP hosted events; in 2017 this estimate amounted to 2,039 hours by 67 organizations.
","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","usgsCitation":"Puls, A.L., Scully, R.A., Dethloff, M.M., Bayer, J.M., Olson, S.J., and Cimino, S.A., 2018, Pacific Northwest Aquatic Monitoring Partnership 2017 Annual Report, iii, 29 p.","productDescription":"iii, 29 p.","ipdsId":"IP-095757","costCenters":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":354008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353983,"type":{"id":15,"text":"Index Page"},"url":"https://pnamp.org/document/6111"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbe00","contributors":{"authors":[{"text":"Puls, Amy L. 0000-0002-2686-4187 apuls@usgs.gov","orcid":"https://orcid.org/0000-0002-2686-4187","contributorId":204734,"corporation":false,"usgs":true,"family":"Puls","given":"Amy","email":"apuls@usgs.gov","middleInitial":"L.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":734840,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scully, Rebecca A. 0000-0003-0704-8907 rscully@usgs.gov","orcid":"https://orcid.org/0000-0003-0704-8907","contributorId":191891,"corporation":false,"usgs":true,"family":"Scully","given":"Rebecca","email":"rscully@usgs.gov","middleInitial":"A.","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":734839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dethloff, Megan M. 0000-0003-0832-4360","orcid":"https://orcid.org/0000-0003-0832-4360","contributorId":204735,"corporation":false,"usgs":true,"family":"Dethloff","given":"Megan","email":"","middleInitial":"M.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":734841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bayer, Jennifer M. 0000-0001-9564-3110 jbayer@usgs.gov","orcid":"https://orcid.org/0000-0001-9564-3110","contributorId":3393,"corporation":false,"usgs":true,"family":"Bayer","given":"Jennifer","email":"jbayer@usgs.gov","middleInitial":"M.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":734838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Sheryn J. 0000-0002-6751-9013","orcid":"https://orcid.org/0000-0002-6751-9013","contributorId":204736,"corporation":false,"usgs":true,"family":"Olson","given":"Sheryn","email":"","middleInitial":"J.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":734842,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cimino, Samuel A. 0000-0002-6057-8299","orcid":"https://orcid.org/0000-0002-6057-8299","contributorId":204737,"corporation":false,"usgs":true,"family":"Cimino","given":"Samuel","email":"","middleInitial":"A.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":734843,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70196892,"text":"70196892 - 2018 - Landscape assessment of side channel plugs and associated cumulative side channel attrition across a large river floodplain","interactions":[],"lastModifiedDate":"2018-05-17T15:41:05","indexId":"70196892","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Landscape assessment of side channel plugs and associated cumulative side channel attrition across a large river floodplain","docAbstract":"Determining the influences of anthropogenic perturbations on side channel dynamics in large rivers is important from both assessment and monitoring perspectives because side channels provide critical habitat to numerous aquatic species. Side channel extents are decreasing in large rivers worldwide. Although riprap and other linear structures have been shown to reduce side channel extents in large rivers, we hypothesized that small “anthropogenic plugs” (flow obstructions such as dikes or berms) across side channels modify whole-river geomorphology via accelerating side channel senescence. To test this hypothesis, we conducted a geospatial assessment, comparing digitized side channel areas from aerial photographs taken during the 1950s and 2001 along 512 km of the Yellowstone River floodplain. We identified longitudinal patterns of side channel recruitment (created/enlarged side channels) and side channel attrition (destroyed/senesced side channels) across n = 17 river sections within which channels were actively migrating. We related areal measures of recruitment and attrition to the density of anthropogenic side channel plugs across river sections. Consistent with our hypothesis, a positive spatial relationship existed between the density of anthropogenic plugs and side channel attrition, but no relationship existed between plug density and side channel recruitment. Our work highlights important linkages among side channel plugs and the persistence and restoration of side channels across floodplain landscapes. Specifically, management of small plugs represents a low-cost, high-benefit restoration opportunity to facilitate scouring flows in side channels to enable the persistence of these habitats over time.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-018-6673-8","usgsCitation":"Reinhold, A.M., Poole, G., Bramblett, R.G., Zale, A.V., and Roberts, D.W., 2018, Landscape assessment of side channel plugs and associated cumulative side channel attrition across a large river floodplain: Environmental Monitoring and Assessment, v. 190, p. 1-15, https://doi.org/10.1007/s10661-018-6673-8.","productDescription":"Article 305; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-064957","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354286,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.7646484375,\n 45.65244828675087\n ],\n [\n -104.04602050781249,\n 45.65244828675087\n ],\n [\n -104.04602050781249,\n 47.82790816919329\n ],\n [\n -108.7646484375,\n 47.82790816919329\n ],\n [\n -108.7646484375,\n 45.65244828675087\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"190","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-24","publicationStatus":"PW","scienceBaseUri":"5afee6c4e4b0da30c1bfbdfe","contributors":{"authors":[{"text":"Reinhold, Ann Marie","contributorId":200043,"corporation":false,"usgs":false,"family":"Reinhold","given":"Ann","email":"","middleInitial":"Marie","affiliations":[],"preferred":false,"id":734921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Geoffrey C.","contributorId":25540,"corporation":false,"usgs":true,"family":"Poole","given":"Geoffrey C.","affiliations":[],"preferred":false,"id":734922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":734923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, David W.","contributorId":56235,"corporation":false,"usgs":true,"family":"Roberts","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":734924,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70198132,"text":"70198132 - 2018 - Molecular and morphometric analyses reveal cryptic diversity within freshwater mussels (Bivalvia: Unionidae) of the western Gulf coastal drainages of the USA","interactions":[],"lastModifiedDate":"2018-07-17T09:47:59","indexId":"70198132","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1019,"text":"Biological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"title":"Molecular and morphometric analyses reveal cryptic diversity within freshwater mussels (Bivalvia: Unionidae) of the western Gulf coastal drainages of the USA","docAbstract":"Past geological processes and climate change affected current species distributions and the genetic structure of riverine fauna. Western Gulf of Mexico coastal rivers harbour four mussel species within the genus Fusconaia(Bivalvia: Unionida). The distributions of these species are unclear owing to their indistinguishable shell morphologies. Using molecular phylogenetic and Fourier morphometric analyses, we examined phylogenetic relationships and morphological variation among the species and made inferences about the role of past geological and climatic factors in shaping the current genetic structure and distributions of these species in the region. Our results showed the presence of three Fusconaia species within the region: Fusconaia askewi, Fusconaia chuniiand Fusconaia flava. We confirmed that Fusconaia lananensis is a junior synonym of F. askewi and that F. chunii is genetically distinct from F. askewi. The Trinity River has syntopic F. flava whose morphologies are indistinguishable from those of F. chunii. Divergence-time estimates matched major geological and climatic events in the region, where climate-driven river formations during the mid-Miocene to Pleistocene caused major diversification of Fusconaia species. Knowledge gained from the present study provides a better understanding of vicariant events that shaped current species distributions and helps to identify conservation priorities that apply to the Fusconaia species.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biolinnean/bly046","usgsCitation":"Pieri, A.M., Inoue, K., Johnson, N.A., Smith, C.H., Harris, J.L., Robertson, C., and Randklev, C.R., 2018, Molecular and morphometric analyses reveal cryptic diversity within freshwater mussels (Bivalvia: Unionidae) of the western Gulf coastal drainages of the USA: Biological Journal of the Linnean Society, v. 124, no. 2, p. 261-277, https://doi.org/10.1093/biolinnean/bly046.","productDescription":"17 p.","startPage":"261","endPage":"277","ipdsId":"IP-094002","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468801,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biolinnean/bly046","text":"Publisher Index Page"},{"id":355716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-04","publicationStatus":"PW","scienceBaseUri":"5b6fc45de4b0f5d57878ea67","contributors":{"authors":[{"text":"Pieri, Anna M.","contributorId":206361,"corporation":false,"usgs":false,"family":"Pieri","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":37317,"text":"Natural Resources Institute, Texas A&M University, Dallas, TX 75252","active":true,"usgs":false}],"preferred":false,"id":740165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inoue, Kentaro","contributorId":202526,"corporation":false,"usgs":false,"family":"Inoue","given":"Kentaro","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":740166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":740164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Chase H. 0000-0002-1499-0311 csmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1499-0311","contributorId":202519,"corporation":false,"usgs":true,"family":"Smith","given":"Chase","email":"csmith@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":740167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harris, John L.","contributorId":201225,"corporation":false,"usgs":false,"family":"Harris","given":"John","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":740168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Clint","contributorId":206217,"corporation":false,"usgs":false,"family":"Robertson","given":"Clint","affiliations":[{"id":37288,"text":"Texas Parks and Wildife","active":true,"usgs":false}],"preferred":false,"id":740169,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randklev, Charles R.","contributorId":202530,"corporation":false,"usgs":false,"family":"Randklev","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":36313,"text":"Texas A&M","active":true,"usgs":false}],"preferred":false,"id":740170,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197866,"text":"70197866 - 2018 - The intensity signature of induced seismicity","interactions":[],"lastModifiedDate":"2018-06-22T14:47:02","indexId":"70197866","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The intensity signature of induced seismicity","docAbstract":"We analyze a comprehensive database of
Clear Creek is a small stream that drains the eastern Carson Range near Lake Tahoe, flows roughly parallel to the Highway 50 corridor, and discharges to the Carson River near Carson City, Nevada. Historical and ongoing development in the drainage basin is thought to be affecting Clear Creek and its sediment-transport characteristics. Previous studies from water years (WYs) 2004 to 2007 and from 2010 to 2012 evaluated discharge, selected water-quality parameters, and suspended-sediment concentrations, loads, and yields at three Clear Creek sampling sites. This report serves as a continuation of the data collection and analyses of the Clear Creek discharge regime and associated water-chemistry and sediment concentrations and loads during WYs 2013–16.
Total annual sediment loads ranged from 870 to 5,300 tons during WYs 2004–07, from 320 to 1,770 tons during WYs 2010–12, and from 50 to 200 tons during WYs 2013–16. Ranges in annual loads during the three study periods were not significantly different; however, total loads were greater during 2004–07 than they were during 2013–16. Annual suspended-sediment loads in WYs 2013–16 showed no significant change since WYs 2010–12 at sites 1 (U.S. Geological Survey reference site 10310485; Clear Creek above Highway 50, near Spooner Summit, Nevada) or 2 (U.S. Geological Survey streamgage 10310500; Clear Creek above Highway 50, near Spooner Summit, Nevada), but significantly lower loads at site 3 (U.S. Geological Survey site 10310518; Clear Creek at Fuji Park, at Carson City, Nevada), supporting the theory of sediment deposition between sites 2 and 3 where the stream gradient becomes more gradual. Currently, a threshold discharge of about 3.3 cubic feet per second is required to mobilize streambed sediment (bedload) from site 2 in Clear Creek. Mean daily discharge was significantly lower in 2010–12 than in 2004–07 and also significantly lower in 2013–16 than in 2010–12. During this study, lower bedload, and therefore lower total sediment load in Clear Creek was primarily due to significantly lower discharge and cannot be directly attributed to sediment mitigation work in the basin.
Water chemistry in Clear Creek shows that the general water type of the creek under base-flow conditions in autumn is a dilute calcium bicarbonate. During winter and spring, the chemistry shifts toward a slightly more sodium and chloride character. Though the chemical characteristics show seasonal change, the water chemistries examined as part of this investigation remain within ecological criteria as adopted by the Nevada Division of Environmental Protection. There was no evidence of aqueous polynuclear aromatic hydrocarbons (PAHs) present in Clear Creek water during this study. Concentrations of PAHs, as determined in one bed-sediment sample and multiple semi-permeable membrane device extracts, were either less than quantifiable limits of analysis or were found at similar concentrations as blank samples.
In July 2014, a 250–300-acre fire burned in the Clear Creek drainage basin. One day after the fire was extinguished, a thunderstorm washed sediment into the creek. A water chemistry sample collected as part of the post-fire storm event showed that the stormwater entering the creek had increased the concentrations of ammonium and organic nitrogen, phosphorus, manganese, and potassium; a similar finding of many other studies evaluating the effects of fires in small drainage basins. Subsequent chemical analyses of Clear Creek water in August 2014 (one month later) showed that these constituents had returned to pre-fire concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185050","collaboration":"Prepared in cooperation with the Nevada Department of Transportation","usgsCitation":"Huntington, J.M., Riddle, D.J., and Paul, A.P., 2018, Discharge, sediment, and water chemistry in Clear Creek, western Nevada, water years 2013–16: U.S. Geological Survey Scientific-Investigations Report 2018–5050, 55 p., https://doi.org/10.3133/sir20185050.","productDescription":"vii, 55 p.","onlineOnly":"Y","ipdsId":"IP-067971","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":353895,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5050/sir20185050.pdf","text":"Report","size":"6.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5050"},{"id":353894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5050/coverthb.jpg"}],"country":"United States","state":"Nevada","city":"Carson City","otherGeospatial":"Clear Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.9,\n 39.19\n ],\n [\n -119.7,\n 39.19\n ],\n [\n -119.7,\n 39.06\n ],\n [\n -119.9,\n 39.06\n ],\n [\n -119.9,\n 39.19\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Rd.
Carson City, Nevada 89701
In 2016 the European Goose Management International Working Group (EGM IWG) began development of an adaptive harvest management program for Taiga Bean Geese (TBG). In 2017, the EGM IWG adopted an interim harvest strategy consisting of a constant harvest rate (on adults) of 3% for the Central Management of Taiga Bean Geese. The interim strategy is intended to provide limited hunting opportunity while rebuilding the population. Recent efforts have involved development of a dynamic strategy in which the harvest rate can vary each year with changes in population size, and in which multiple, possibly competing, management objectives can be addressed. This report provides examples of dynamic harvest strategies and compares them with the interim, constant harvest-rate strategy. Until such time that a dynamic strategy is adopted by the EGM IWG, the annual harvest quota and its allocation among Range States is predicated on the interim strategy. Based on a January count of 38,717, the harvest quota for the 2018 hunting season is 1,610 Taiga Bean Geese (compared to 2,335 for the 2017 season). We emphasize that these quotas include both harvest during the regular season and derogation shooting. We acknowledge that the January 2018 count of Taiga Bean Geese in the Central Management Unit was likely biased low, as counts in the autumn and spring in Sweden were higher. Additionally, the size of the harvest during the fall and winter of 2017-18 is unknown, due to an inability to differentiate taiga and Tundra Bean Geese in the harvest, compilation of data too late to be used in this report, and a lack of reporting. Because of problems with both the population and harvest monitoring programs it is difficult to estimate a harvest quota for 2018 with any degree of confidence.
","language":"English","publisher":"AEWA European Goose Management","usgsCitation":"Johnson, F.A., Jensen, G.H., Alhainen, M., Fox, A.D., and Madsen, J., 2018, Taiga bean goose: Harvest assessment for the Central Management Unit: 2018, 15 p.","productDescription":"15 p.","ipdsId":"IP-098380","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355714,"type":{"id":15,"text":"Index Page"},"url":"https://www.unep-aewa.org/sites/default/files/document/AEWA_EGMIWG_3_12_TBG_Harvest_Report.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc45de4b0f5d57878ea63","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":740183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Gitte Hoj","contributorId":206363,"corporation":false,"usgs":false,"family":"Jensen","given":"Gitte","email":"","middleInitial":"Hoj","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":740184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alhainen, Mikko","contributorId":141140,"corporation":false,"usgs":false,"family":"Alhainen","given":"Mikko","email":"","affiliations":[{"id":13690,"text":"Finnish Wildlife Agency","active":true,"usgs":false}],"preferred":false,"id":740185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":740186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":740187,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196796,"text":"70196796 - 2018 - Demographic response of Louisiana Waterthrush, a stream obligate songbird of conservation concern, to shale gas development","interactions":[],"lastModifiedDate":"2018-05-01T15:45:19","indexId":"70196796","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Demographic response of Louisiana Waterthrush, a stream obligate songbird of conservation concern, to shale gas development","docAbstract":"Shale gas development continues to outpace the implementation of best management practices for wildlife affected by development. We examined demographic responses of the Louisiana Waterthrush (Parkesia motacilla) to shale gas development during 2009–2011 and 2013–2015 in a predominantly forested landscape in West Virginia, USA. Forest cover across the study area decreased from 95% in 2008 to 91% in 2015, while the area affected by shale gas development increased from 0.4% to 3.9%. We quantified nest survival and productivity, a source–sink threshold, riparian habitat quality, territory density, and territory length by monitoring 58.1 km of forested headwater streams (n = 14 streams). Across years, we saw annual variability in nest survival, with a general declining trend over time. Of 11 a priori models tested to explain nest survival (n = 280 nests), 4 models that included temporal, habitat, and shale gas covariates were supported, and 2 of these models accounted for most of the variation in daily nest survival rate. After accounting for temporal effects (rainfall, nest age, and time within season), shale gas development had negative effects on nest survival. Population-level nest productivity declined and individual productivity was lower in areas disturbed by shale gas development than in undisturbed areas, and a source–sink threshold suggested that disturbed areas were more at risk of being sink habitat. Riparian habitat quality scores, as measured by a U.S. Environmental Protection Agency index and a waterthrush-specific habitat suitability index, differed by year and were negatively related to the amount of each territory disturbed by shale gas development. Territory density was not related to the amount of shale gas disturbance, but decreased over time as territory lengths increased. Overall, our results suggest a decline in waterthrush site quality as shale gas development increases, despite relatively small site-wide forest loss.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-130.1","usgsCitation":"Frantz, M.W., Wood, P.B., Sheehan, J., and George, G., 2018, Demographic response of Louisiana Waterthrush, a stream obligate songbird of conservation concern, to shale gas development: Condor, v. 120, no. 2, p. 265-282, https://doi.org/10.1650/CONDOR-17-130.1.","productDescription":"18 p.","startPage":"265","endPage":"282","ipdsId":"IP-081181","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468794,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1650/CONDOR-17-130.1","text":"External Repository"},{"id":353898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Lewis Wetzel Wildlife Management Area","volume":"120","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee6c5e4b0da30c1bfbe0a","contributors":{"authors":[{"text":"Frantz, Mack W.","contributorId":191486,"corporation":false,"usgs":false,"family":"Frantz","given":"Mack","email":"","middleInitial":"W.","affiliations":[{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":734475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":734431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":734476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Gregory","contributorId":204601,"corporation":false,"usgs":false,"family":"George","given":"Gregory","affiliations":[],"preferred":false,"id":734477,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197906,"text":"70197906 - 2018 - Deformation of the Pacific/North America plate boundary at Queen Charlotte Fault: The possible role of rheology","interactions":[],"lastModifiedDate":"2018-06-26T09:46:40","indexId":"70197906","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Deformation of the Pacific/North America plate boundary at Queen Charlotte Fault: The possible role of rheology","docAbstract":"The Pacific/North America (PA/NA) plate boundary between Vancouver Island and Alaska is similar to the PA/NA boundary in California in its kinematic history and the rate and azimuth of current relative motion, yet their deformation styles are distinct. The California plate boundary shows a broad zone of parallel strike slip and thrust faults and folds, whereas the 49‐mm/yr PA/NA relative plate motion in Canada and Alaska is centered on a single, narrow, continuous ~900‐km‐long fault, the Queen Charlotte Fault (QCF). Using gravity analysis, we propose that this plate boundary is centered on the continent/ocean boundary (COB), an unusual location for continental transform faults because plate boundaries typically localize within the continental lithosphere, which is weaker. Because the COB is a boundary between materials of contrasting elastic properties, once a fault is established there, it will probably remain stable. We propose that deformation progressively shifted to the COB in the wake of Yakutat terrane's northward motion along the margin. Minor convergence across the plate boundary is probably accommodated by fault reactivation on Pacific crust and by an eastward dipping QCF. Underthrusting of Pacific slab under Haida Gwaii occurs at convergence angles >14°–15° and may have been responsible for the emergence of the archipelago. The calculated slab entry dip (5°–8°) suggests that the slab probably does not extend into the asthenosphere. The PA/NA plate boundary at the QCF can serve as a structurally simple site to investigate the impact of rheology and composition on crustal deformation and the initiation of slab underthrusting.
","language":"English","publisher":"AGU","doi":"10.1002/2017JB014770","usgsCitation":"ten Brink, U., Miller, N.C., Andrews, B.D., Brothers, D.S., and Haeussler, P.J., 2018, Deformation of the Pacific/North America plate boundary at Queen Charlotte Fault: The possible role of rheology: Journal of Geophysical Research B: Solid Earth, v. 123, no. 5, p. 4223-4242, https://doi.org/10.1002/2017JB014770.","productDescription":"20 p.","startPage":"4223","endPage":"4242","ipdsId":"IP-088657","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460937,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/10462","text":"External Repository"},{"id":355347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140,\n 50\n ],\n [\n -128,\n 50\n ],\n [\n -128,\n 60\n ],\n [\n -140,\n 60\n ],\n [\n -140,\n 50\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-08","publicationStatus":"PW","scienceBaseUri":"5b46e58de4b060350a15d1d2","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":739016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Brian D. 0000-0003-1024-9400 bandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-1024-9400","contributorId":201662,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":739020,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196073,"text":"fs20183017 - 2018 - Assessment of undiscovered oil and gas resources of the Susitna Basin, southern Alaska, 2017","interactions":[],"lastModifiedDate":"2018-05-14T11:11:09","indexId":"fs20183017","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3017","title":"Assessment of undiscovered oil and gas resources of the Susitna Basin, southern Alaska, 2017","docAbstract":"The U.S. Geological Survey (USGS) recently completed an assessment of undiscovered, technically recoverable oil and gas resources in the Susitna Basin of southern Alaska. Using a geology-based methodology, the USGS estimates that mean undiscovered volumes of about 2 million barrels of oil and nearly 1.7 trillion cubic feet of gas may be found in this area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183017","usgsCitation":"Stanley, R.G., Potter, C.J., Lewis, K.A., Lillis, P.G., Shah, A.K., Haeussler, P.J., Phillips, J.D., Valin, Z.C., Schenk, C.J., Klett, T.R., Brownfield, M.E., Drake, R.M., Finn, T.M., Haines, S., Higley, D.K., Houseknecht, D.W., Le, P.A., Marra, K.R., Mercier, T.J., Leathers-Miller, H.M., Paxton, S.T., Pearson, O.N., Tennyson, M.E., Woodall, C.A., and Zyrianova, M.V., 2018, Assessment of undiscovered oil and gas resources of the Susitna Basin, southern Alaska, 2017 (ver. 1.1, May 11, 2018): U.S. Geological Survey Fact Sheet 2018–3017, 2 p., https://doi.org/10.3133/fs20183017.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-093062","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":353657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3017/fs20183017_v1.1.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2018-3017 Version 1.1"},{"id":354076,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2018/3017/fs20183017_versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"Fact Sheet 2018-3017 Version History"},{"id":353656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3017/coverthb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Susitna Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153,\n 61\n ],\n [\n -148,\n 61\n ],\n [\n -148,\n 63\n ],\n [\n -153,\n 63\n ],\n [\n -153,\n 61\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: May 1, 2018; Version 1.1: May 11, 2018","contact":"The Lower Keys marsh rabbit (Sylvilagus palustris hefneri) is one of many endangered endemic species of the Florida Keys. The main threats are habitat loss and fragmentation from sea‐level rise, development, and habitat succession. Exotic predators such as free‐ranging domestic cats (Felis catus) pose an additional threat to these endangered small mammals. Management strategies have focused on habitat restoration and exotic predator control. However, the effectiveness of predator removal and the effects of anthropogenic habitat modifications and restoration have not been evaluated. Between 2013 and 2015, we used camera traps to survey marsh rabbits and free‐ranging cats at 84 sites in the National Key Deer Refuge, Big Pine Key, Florida, USA. We used dynamic occupancy models to determine factors associated with marsh rabbit occurrence, colonization, extinction, and the co‐occurrence of marsh rabbits and cats during a period of predator removal. Rabbit occurrence was positively related to freshwater habitat and patch size, but was negatively related to the number of individual cats detected at each site. Furthermore, marsh rabbit colonization was negatively associated with relative increases in the number of individual cats at each site between survey years. Cat occurrence was negatively associated with increasing distance from human developments. The probability of cat site extinction was positively related to a 2‐year trapping effort, indicating that predator removal reduced the cat population. Dynamic co‐occurrence models suggested that cats and marsh rabbits co‐occur less frequently than expected under random conditions, whereas co‐detections were site and survey‐specific. Rabbit site extinction and colonization were not strongly conditional on cat presence, but corresponded with a negative association. Our results suggest that while rabbits can colonize and persist at sites where cats occur, it is the number of individual cats at a site that more strongly influences rabbit occupancy and colonization. These findings indicate that continued predator management would likely benefit endangered small mammals as they recolonize restored habitats.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3954","usgsCitation":"Cove, M., Gardner, B., Simons, T.R., and O’Connell, A.F., 2018, Co‐occurrence dynamics of endangered Lower Keys marsh rabbits and free‐ranging domestic cats: Prey responses to an exotic predator removal program: Ecology and Evolution, v. 8, no. 8, p. 4042-4052, https://doi.org/10.1002/ece3.3954.","productDescription":"11 p.","startPage":"4042","endPage":"4052","ipdsId":"IP-083926","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468795,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3954","text":"Publisher Index Page"},{"id":353915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"National Key Deer Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.40869140625,\n 24.662306385334862\n ],\n [\n -81.33522033691405,\n 24.662306385334862\n ],\n [\n -81.33522033691405,\n 24.747454885176023\n ],\n [\n -81.40869140625,\n 24.747454885176023\n ],\n [\n -81.40869140625,\n 24.662306385334862\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-26","publicationStatus":"PW","scienceBaseUri":"5afee6c5e4b0da30c1bfbe06","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":734564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":734565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196772,"text":"70196772 - 2018 - Quantifying salinity and season effects on eastern oyster clearance and oxygen consumption rates","interactions":[],"lastModifiedDate":"2018-05-01T11:37:43","indexId":"70196772","displayToPublicDate":"2018-05-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying salinity and season effects on eastern oyster clearance and oxygen consumption rates","docAbstract":"There are few data on Crassostrea virginica physiological rates across the range of salinities and temperatures to which they are regularly exposed, and this limits the applicability of growth and production models using these data. 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Valve movements measured at the five salinities indicated oysters were open 50–60% of the time in the 6–25 salinity range and ~ 30% at a salinity of 3. Reduced opening periods, concomitant with narrower valve gap amplitudes, are in accord with the limited feeding at the lowest salinity (3). These data indicate the need for increased focus on experimental determination of optimal ranges and thresholds to better quantify oyster population responses to environmental changes.
","language":"English","publisher":"Springer","doi":"10.1007/s00227-018-3351-x","usgsCitation":"Casas, S., Lavaud, R., LaPeyre, M.K., Comeau, L., Filgueira, R., and LaPeyre, J.F., 2018, Quantifying salinity and season effects on eastern oyster clearance and oxygen consumption rates: Marine Biology, v. 165, p. 1-13, https://doi.org/10.1007/s00227-018-3351-x.","productDescription":"Article 90; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-092990","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-25","publicationStatus":"PW","scienceBaseUri":"5afee6cce4b0da30c1bfbe14","contributors":{"authors":[{"text":"Casas, S.M.","contributorId":8321,"corporation":false,"usgs":true,"family":"Casas","given":"S.M.","email":"","affiliations":[],"preferred":false,"id":734390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lavaud, Romain","contributorId":200114,"corporation":false,"usgs":false,"family":"Lavaud","given":"Romain","email":"","affiliations":[],"preferred":false,"id":734391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":734313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Comeau, L. A.","contributorId":204577,"corporation":false,"usgs":false,"family":"Comeau","given":"L. A.","affiliations":[],"preferred":false,"id":734392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Filgueira, R.","contributorId":204578,"corporation":false,"usgs":false,"family":"Filgueira","given":"R.","email":"","affiliations":[],"preferred":false,"id":734393,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaPeyre, Jerome F.","contributorId":189466,"corporation":false,"usgs":false,"family":"LaPeyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":734394,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}