Many of the world's rivers are ice-covered during winter months but increasing evidence indicates that the extent of river ice will shift substantially as winters warm. However, our knowledge of rivers during winter lags far behind that of the growing season, limiting our understanding of how ice loss will affect rivers. Physical, chemical, and biological processes change from headwaters to large rivers; thus, we expect ice processes and resulting effects on the ecology of rivers could also vary with river size, as a result of the associated changes in geomorphology, temperature regimes, and connectivity. To conceptualize these relationships, we review typically disparate literature on ice processes and winter ecology and compare what is known in the smallest and largest rivers. In doing so, we show that our ability to link ice with ecology across river networks is made difficult by a primary focus on ice processes in larger rivers and a lack of study of ecosystem processes during winter. To address some of these gaps, we provide new scenarios of river ice loss and analyses of how the annual importance of winter gross primary productivity (GPP) varies with river size. We show projected ice loss varied with large-scale watershed characteristics such as north-south orientation and that the importance of winter to annual GPP was greatest in the smallest rivers. Finally, we highlight information needed to fill knowledge gaps on winter across river networks and improve our understanding of how rivers may change as climate and ice regimes shift.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JG006275","usgsCitation":"Thellman, A., Jankowski, K.J., Hayden, B., Yang, X., Dolan, W., Smits, A.P., and O’Sullivan, A.M., 2021, The ecology of river ice: JGR Biogeosciences, v. 126, no. 9, e2021JG006275, 28 p., https://doi.org/10.1029/2021JG006275.","productDescription":"e2021JG006275, 28 p.","ipdsId":"IP-126569","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":388882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"126","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Thellman, Audrey 0000-0003-3716-6664","orcid":"https://orcid.org/0000-0003-3716-6664","contributorId":265349,"corporation":false,"usgs":false,"family":"Thellman","given":"Audrey","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":822601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":822602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayden, Brian","contributorId":190917,"corporation":false,"usgs":false,"family":"Hayden","given":"Brian","email":"","affiliations":[],"preferred":false,"id":822603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Xiao","contributorId":149701,"corporation":false,"usgs":false,"family":"Yang","given":"Xiao","affiliations":[],"preferred":false,"id":822604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolan, Wayana 0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":265350,"corporation":false,"usgs":false,"family":"Dolan","given":"Wayana","email":"","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":822605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smits, Adrianne P 0000-0001-9967-5419","orcid":"https://orcid.org/0000-0001-9967-5419","contributorId":217759,"corporation":false,"usgs":false,"family":"Smits","given":"Adrianne","email":"","middleInitial":"P","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":822606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Sullivan, Antoin M 0000-0003-0599-887X","orcid":"https://orcid.org/0000-0003-0599-887X","contributorId":265351,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Antoin","email":"","middleInitial":"M","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":822607,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70229104,"text":"70229104 - 2021 - The roles of antimicrobial resistance, phage diversity, isolation source, and selection in shaping the genomic architecture of Bacillus anthracis","interactions":[],"lastModifiedDate":"2022-03-01T15:17:43.049137","indexId":"70229104","displayToPublicDate":"2021-08-17T09:10:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10142,"text":"Microbial Genomics","onlineIssn":"2057-5858","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The roles of antimicrobial resistance, phage diversity, isolation source, and selection in shaping the genomic architecture of Bacillus anthracis ","title":"The roles of antimicrobial resistance, phage diversity, isolation source, and selection in shaping the genomic architecture of Bacillus anthracis","docAbstract":"Bacillus anthracis, the causative agent of anthrax disease, is a worldwide threat to livestock, wildlife and public health. While analyses of genetic data from across the globe have increased our understanding of this bacterium’s population genomic structure, the influence of selective pressures on this successful pathogen is not well understood. In this study, we investigate the effects of antimicrobial resistance, phage diversity, geography and isolation source in shaping population genomic structure. We also identify a suite of candidate genes potentially under selection, driving patterns of diversity across 356 globally extant B. anthracis genomes. We report ten antimicrobial resistance genes and 11 different prophage sequences, resulting in the first large-scale documentation of these genetic anomalies for this pathogen. Results of random forest classification suggest genomic structure may be driven by a combination of antimicrobial resistance, geography and isolation source, specific to the population cluster examined. We found strong evidence that a recombination event linked to a gene involved in protein synthesis may be responsible for phenotypic differences between comparatively disparate populations. We also offer a list of genes for further examination of B. anthracis evolution, based on high-impact single nucleotide polymorphisms (SNPs) and clustered mutations. The information presented here sheds new light on the factors driving genomic structure in this notorious pathogen and may act as a road map for future studies aimed at understanding functional differences in terms of B. anthracis biogeography, virulence and evolution.
","language":"English","doi":"10.1099/mgen.0.000616","usgsCitation":"Bruce, S., Huang, Y., Kamath, P., van Heerden, H., and Turner, W.C., 2021, The roles of antimicrobial resistance, phage diversity, isolation source, and selection in shaping the genomic architecture of Bacillus anthracis: Microbial Genomics, v. 7, no. 8, 000616, 12 p., https://doi.org/10.1099/mgen.0.000616.","productDescription":"000616, 12 p.","ipdsId":"IP-122314","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1099/mgen.0.000616","text":"Publisher Index Page"},{"id":396603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bruce, Spencer A.","contributorId":287146,"corporation":false,"usgs":false,"family":"Bruce","given":"Spencer A.","affiliations":[{"id":61494,"text":"University of Albany - SUNY","active":true,"usgs":false}],"preferred":false,"id":836522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Yen-Hua","contributorId":287147,"corporation":false,"usgs":false,"family":"Huang","given":"Yen-Hua","affiliations":[{"id":61495,"text":"University of Albany -SUNY","active":true,"usgs":false}],"preferred":false,"id":836523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kamath, Pauline L.","contributorId":287148,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":836524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van Heerden, Henriette","contributorId":287149,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":836525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836521,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224929,"text":"70224929 - 2021 - Warmer winters increase the biomass of phytoplankton in a large floodplain river","interactions":[],"lastModifiedDate":"2021-10-06T12:59:41.249846","indexId":"70224929","displayToPublicDate":"2021-08-17T07:53:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Warmer winters increase the biomass of phytoplankton in a large floodplain river","docAbstract":"Winters are changing rapidly across the globe but the implications for aquatic productivity and food webs are not well understood. In addition, the degree to which winter dynamics in aquatic systems respond to large-scale climate versus ecosystem-level factors is unclear but important for understanding and managing potential changes. We used a unique winter data set from the Upper Mississippi River System to explore spatial and temporal patterns in phytoplankton biomass (chlorophyll a, CHL) and associated environmental covariates across 25 years and ∼1,500 river km. To assess the role of regional climate versus site-specific drivers of winter CHL, we evaluated whether there were coherent long-term CHL dynamics from north to south and across lotic-lentic areas. We then estimated the degree to which these patterns were associated with climate variability (i.e., the Multivariate El Nino-Southern Oscillation Index), winter severity (freezing degree days), river discharge, or site-specific environmental variables (ice depth, snow depth, and nutrient concentrations). We found that winter CHL was typically highest in ice-free reaches and backwater lakes, occasionally exceeding summer values. We did not find highly synchronous CHL dynamics across the basin, but instead show that temporal trends were independent among river reaches and lotic-lentic areas of the river. Moreover, after accounting for these spatial dynamics, we found that CHL was most responsive to winter air temperature, being consistently higher in years with warmer winters across the basin. These results indicate that although productivity dynamics are highly dynamic within large river ecosystems, changes in the duration and severity of winter may uniformly increase wintertime productivity.
Flathead catfish are rapidly expanding into nonnative waterways throughout the United States. Once established, flathead catfish may cause disruptions to the local ecosystem through consumption and competition with native fishes, including species of conservation concern. Flathead catfish often become a popular sport fish in their introduced range, and so management strategies must frequently balance the need to protect native and naturalized fauna while meeting the desire to maintain or enhance fisheries. However, there are currently few tools available to inform management of invasive flathead catfish (Pylodictis olivaris). We describe a suite of microsatellite loci that can be used to characterize population structure, predict invasion history, and assess potential mitigation strategies for flathead catfish.
","language":"English","publisher":"Springer","doi":"10.1186/s13104-021-05725-2","usgsCitation":"White, S.L., Eackles, M.S., Wagner, T., Schall, M.K., Smith, G., Avery, J., and Kazyak, D., 2021, Optimization of a suite of flathead catfish (Pylodictis olivaris) microsatellite markers for understanding the population genetics of introduced populations in the northeast United States: BMC Research Notes, 341, 14 p., https://doi.org/10.1186/s13104-021-05725-2.","productDescription":"341, 14 p.","ipdsId":"IP-129433","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451155,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13104-021-05725-2","text":"Publisher Index Page"},{"id":388393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","noUsgsAuthors":false,"publicationDate":"2021-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S. 0000-0001-5624-5769 meackles@usgs.gov","orcid":"https://orcid.org/0000-0001-5624-5769","contributorId":218936,"corporation":false,"usgs":true,"family":"Eackles","given":"Michael","email":"meackles@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schall, Megan K.","contributorId":115964,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","email":"","middleInitial":"K.","affiliations":[{"id":17758,"text":"Pennsylvania State Univ.","active":true,"usgs":false}],"preferred":false,"id":821771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Geoffrey","contributorId":199064,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey","affiliations":[],"preferred":false,"id":821772,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Avery, Julian","contributorId":264623,"corporation":false,"usgs":false,"family":"Avery","given":"Julian","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":821773,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821774,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223173,"text":"ofr20211076 - 2021 - An integrated population model for southern sea otters","interactions":[],"lastModifiedDate":"2021-08-17T12:12:45.270165","indexId":"ofr20211076","displayToPublicDate":"2021-08-16T13:30:04","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1076","displayTitle":"An Integrated Population Model for Southern Sea Otters","title":"An integrated population model for southern sea otters","docAbstract":"Southern sea otters (Enhydra lutris nereis) have recovered slowly from their near extinction a century ago, and their continued recovery has been challenged by multiple natural and anthropogenic factors. Development of an integrated population model (IPM) for southern sea otters has been identified as a management priority, to help in evaluating the relative impacts of known threats and guide best management options for species recovery. An IPM represents an analytical modeling framework where various types of data relevant to animal health, population trends, and survival can be evaluated collectively to project future population dynamics under different resource management scenarios. Here, we describe the development of a spatially explicit IPM for southern sea otters that is fit by using Bayesian methods to multiple datasets including a time series of range-wide survey counts, estimated survival rates of tagged animals from telemetry-based population studies, and cause-of-death data from comprehensive necropsies of beach-cast carcasses. The core of the model is a stage-structured matrix, in which survival rates for a given life history stage, year, and location are computed as the outcome of multiple ‘competing risks,’ or hazards, allowing for spatiotemporal variation in each hazard, density-dependence, and stochasticity. The parameterized IPM was used to (1) examine how age and sex-specific hazards vary over space and time, (2) gain insights into density-dependent variation in specific hazards, (3) assess population-level effects of known mortality hazards in the past and in future projections, and (4) evaluate the relative benefits of various potential management actions to address these hazards.
Our results indicated that different types of hazards have variable impacts at different life history stages of sea otters; for example, shark-bite mortality had a strong impact on mortality of subadult females but relatively low impacts on aged adult female survival, whereas End Lactation Syndrome showed just the opposite age-based pattern. There also was spatial and temporal variation in exposure to different hazards; for example, shark-bite mortality generally was highest at the north and south ends of the sea otter range, End Lactation Syndrome and cardiac disease were highest in the center part of the range, and harmful algal bloom intoxication and protozoal infection mortalities were highest around Morro Bay. The relative impacts of hazards depended on population density; for example, shark-bite mortality had the greatest effect on male survival when population abundance was low, but as densities increased the impacts of cardiac disease (for aged adults) and acanthocephalan peritonitis (for subadults) exceeded the effects of shark-bite mortality. Sensitivity analyses showed that modifying certain hazard rates can have substantial impacts on future population growth; for example, if the shark-bite hazard rate were to decrease by 20 percent, projected abundance after 50 years is predicted to be 18-percent higher, on average, than under baseline conditions. We used the IPM to evaluate the possible impacts of a potential management action: the reintroduction of sea otters to currently unoccupied parts of their historical range. We found that there were large increases in expected growth potential associated with reintroduction programs to various locations to the north and south of the currently occupied range, although a reintroduction to San Francisco Bay was projected to have the greatest potential impacts on future population growth.
The IPM for southern sea otters presented here provides resource managers with a useful tool for evaluating the impacts of specific hazards, forecasting future population dynamics and range expansion, and evaluating alternative management scenarios.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211076","programNote":"Wildlife Program","usgsCitation":"Tinker, M.T., Carswell, L.P., Tomoleoni, J.A., Hatfield, B.B., Harris, M.D., Miller, M.A., Moriarty, M.E., Johnson, C.K., Young, C., Henkel, L.A., Staedler, M.M., Miles, A.K., and Yee, J.L., 2021, An integrated population model for southern sea otters: U.S. Geological Survey Open-File Report 2021–1076, 50 p., https://doi.org/10.3133/ofr20211076.","productDescription":"vii, 50 p.","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-126237","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":387937,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1076/images"},{"id":387936,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1076/ofr20211076.xml"},{"id":387935,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1076/ofr20211076.pdf","text":"Report","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1076/covrthb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.23388671874999,\n 37.125286284966805\n ],\n [\n -121.59667968749999,\n 37.37015718405753\n ],\n [\n -121.55273437499999,\n 37.666429212090605\n ],\n [\n -122.1240234375,\n 38.61687046392973\n ],\n [\n -122.84912109375,\n 39.30029918615029\n ],\n [\n -123.37646484374999,\n 40.329795743702064\n ],\n [\n -123.37646484374999,\n 40.84706035607122\n ],\n [\n -123.3544921875,\n 41.705728515237524\n ],\n [\n -123.22265625000001,\n 42.00032514831621\n ],\n [\n -124.49707031249999,\n 42.01665183556825\n ],\n [\n -124.98046874999999,\n 40.94671366508002\n ],\n [\n -124.67285156250001,\n 39.90973623453719\n ],\n [\n -124.18945312500001,\n 38.92522904714054\n ],\n [\n -123.3544921875,\n 37.579412513438385\n ],\n [\n -122.9150390625,\n 37.23032838760387\n ],\n [\n -122.23388671874999,\n 37.125286284966805\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Salinity-driven density stratification of the upper Arctic Ocean isolates sea-ice cover and cold, nutrient-poor surface waters from underlying warmer, nutrient-rich waters. Recently, stratification has strengthened in the western Arctic but has weakened in the eastern Arctic; it is unknown if these trends will continue. Here we present foraminifera-bound nitrogen isotopes from Arctic Ocean sediments since 35,000 years ago to reconstruct past changes in nutrient sources and the degree of nutrient consumption in surface waters, the latter reflecting stratification. During the last ice age and early deglaciation, the Arctic was dominated by Atlantic-sourced nitrate and incomplete nitrate consumption, indicating weaker stratification. Starting at 11,000 years ago in the western Arctic, there is a clear isotopic signal of Pacific-sourced nitrate and complete nitrate consumption associated with the flooding of the Bering Strait. These changes reveal that the strong stratification of the western Arctic relies on low-salinity inflow through the Bering Strait. In the central Arctic, nitrate consumption was complete during the early Holocene, then declined after 5,000 years ago as summer insolation decreased. This sequence suggests that precipitation and riverine freshwater fluxes control the stratification of the central Arctic Ocean. Based on these findings, ongoing warming will cause strong stratification to expand into the central Arctic, slowing the nutrient supply to surface waters and thus limiting future phytoplankton productivity.
","language":"English","publisher":"Nature Publications","doi":"10.1038/s41561-021-00789-y","usgsCitation":"Farmer, J.R., Sigman, D., Granger, J., Underwood, O.M., Frapiat, F., Cronin, T.M., Martinez-Garcia, A., and Haug, G.H., 2021, Arctic Ocean stratification set by sea level and freshwater inputs since the last ice age: Nature Geoscience, v. 14, p. 684-689, https://doi.org/10.1038/s41561-021-00789-y.","productDescription":"6 p.","startPage":"684","endPage":"689","ipdsId":"IP-118860","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":451157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41561-021-00789-y","text":"Publisher Index Page"},{"id":396117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","volume":"14","noUsgsAuthors":false,"publicationDate":"2021-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Farmer, Jesse R.","contributorId":279531,"corporation":false,"usgs":false,"family":"Farmer","given":"Jesse","email":"","middleInitial":"R.","affiliations":[{"id":57270,"text":"1Department of Geosciences, Princeton University","active":true,"usgs":false}],"preferred":false,"id":835099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sigman, Daniel","contributorId":279532,"corporation":false,"usgs":false,"family":"Sigman","given":"Daniel","email":"","affiliations":[{"id":57270,"text":"1Department of Geosciences, Princeton University","active":true,"usgs":false}],"preferred":false,"id":835100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Granger, Julie","contributorId":279533,"corporation":false,"usgs":false,"family":"Granger","given":"Julie","affiliations":[{"id":57272,"text":"3Department of Marine Sciences, University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":835101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Underwood, Ona M.","contributorId":279660,"corporation":false,"usgs":false,"family":"Underwood","given":"Ona","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frapiat, Francois","contributorId":279534,"corporation":false,"usgs":false,"family":"Frapiat","given":"Francois","email":"","affiliations":[{"id":57273,"text":"2Max-Planck Institute for Chemistry","active":true,"usgs":false}],"preferred":false,"id":835102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":835103,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martinez-Garcia, Alfredo","contributorId":279535,"corporation":false,"usgs":false,"family":"Martinez-Garcia","given":"Alfredo","email":"","affiliations":[{"id":57273,"text":"2Max-Planck Institute for Chemistry","active":true,"usgs":false}],"preferred":false,"id":835104,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haug, Gerald H.","contributorId":279536,"corporation":false,"usgs":false,"family":"Haug","given":"Gerald","email":"","middleInitial":"H.","affiliations":[{"id":57274,"text":"Max-Planck Institute for Chemistry","active":true,"usgs":false}],"preferred":false,"id":835105,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70224933,"text":"70224933 - 2021 - Multiple coping strategies maintain stability of a small mammal population in a resource-restricted environment","interactions":[],"lastModifiedDate":"2021-10-06T12:31:28.063054","indexId":"70224933","displayToPublicDate":"2021-08-16T07:26:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Multiple coping strategies maintain stability of a small mammal population in a resource-restricted environment","docAbstract":"In semi-arid environments, aperiodic rainfall pulses determine plant production and resource availability for higher trophic levels, creating strong bottom-up regulation. The influence of climatic factors on population vital rates often shapes the dynamics of small mammal populations in such resource-restricted environments. Using a 21-year biannual capture–recapture dataset (1993 to 2014), we examined the impacts of climatic factors on the population dynamics of the brush mouse (Peromyscus boylii) in semi-arid oak woodland of coastal-central California. We applied Pradel's temporal symmetry model to estimate capture probability (p), apparent survival (φ), recruitment (f), and realized population growth rate (λ) of the brush mouse and examined the effects of temperature, rainfall, and El Niño on these demographic parameters. The population was stable during the study period with a monthly realized population growth rate of 0.993 ± SE 0.032, but growth varied over time from 0.680 ± 0.054 to 1.450 ± 0.083. Monthly survival estimates averaged 0.789 ± 0.005 and monthly recruitment estimates averaged 0.175 ± 0.038. Survival probability and realized population growth rate were positively correlated with rainfall and negatively correlated with temperature. In contrast, recruitment was negatively correlated with rainfall and positively correlated with temperature. Brush mice maintained their population through multiple coping strategies, with high recruitment during warmer and drier periods and higher survival during cooler and wetter conditions. Although climatic change in coastal-central California will likely favor recruitment over survival, varying strategies may serve as a mechanism by which brush mice maintain resilience in the face of climate change. Our results indicate that rainfall and temperature are both important drivers of brush mouse population dynamics and will play a significant role in predicting the future viability of brush mice under a changing climate.
Climate change is a global persistent threat to fish and fish habitats throughout North America. Climate-induced modification of environmental regimes, including changes in streamflow, water temperature, salinity, storm surges, and habitat connectivity can change fish physiology, disrupt spawning cues, cause fish extinctions and invasions, and alter fish community structure. Reducing greenhouse emissions remains the primary mechanism to slow the pace of climate change, but local and regional management agencies and stakeholders have developed an arsenal of adaptation strategies to help partially mitigate the effects of climate change on fish. We summarize common stressors posed by climate change in North America, including (1) increased water temperature, (2) changes in precipitation, (3) sea level rise, and (4) ocean acidification, and present potential adaptation strategies that fishery professionals may apply to help vulnerable fish and fisheries cope with a changing climate. Although our adaptation strategies are primarily from North America, they have broader geographic applicability to fish and aquatic biota in other jurisdictions. These strategies provide opportunities for managers to mitigate the effects of climate change on fish and fish habitat while needed global policies to reduce greenhouse gas emissions emerge, which may offer more lasting solutions.
Phenology is the study of recurring plant and animal life-cycle stages which can be observed across spatial and temporal scales that span orders of magnitude (e.g., organisms to landscapes). The variety of scales at which phenological processes operate is reflected in the range of methods for collecting phenologically relevant data, and the programs focused on these collections. Consideration of the scale at which phenological observations are made, and the platform used for observation, is critical for the interpretation of phenological data and the application of these data to both research questions and land management objectives. However, there is currently little capacity to facilitate access, integration and analysis of cross-scale, multi-platform phenological data. This paper reports on a new suite of software and analysis tools – the “Pheno-Synthesis Software Suite,” or PS3 – to facilitate integration and analysis of phenological and ancillary data, enabling investigation and interpretation of phenological processes at scales ranging from organisms to landscapes and from days to decades. We use PS3 to investigate phenological processes in a semi-aride, mixed shrub-grass ecosystem, and find that the apparent importance of seasonal precipitation to vegetation activity (i.e., “greenness”) is affected by the scale and platform of observation. We end by describing potential applications of PS3 to phenological modeling and forecasting, understanding patterns and drivers of phenological activity in real-world ecosystems, and supporting agricultural and natural resource management and decision-making.
In Yellowstone Lake, predation by invasive Lake Trout Salvelinus namaycush has caused significant abundance declines in native Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri. Lake Trout suppression has been ongoing since 1995; assessment and simulation modeling are used to measure suppression effectiveness and guide efforts. Lake Trout reproduction demographics are linked to these modeling efforts via quantification of the population stock–recruitment relationship. To improve estimation of this relationship for Lake Trout in Yellowstone Lake, we assessed reproduction demographics by quantifying spawning periodicity, size at maturity, and female fecundity. Histological assessment suggested that females with a gonadosomatic index (GSI) >3.0 and males with a GSI >1.0 were capable of spawning. Approximately 65% of mature females appeared to have spawned on an annual cycle. In 2015, the mean absolute and relative fecundities were 4,612 eggs and 1,535 eggs/kg, respectively; temporal differences in relative fecundity (1996, 2006, 2007, and 2015) were not statistically significant. Lake Trout population fecundity has declined from a peak in 2010 due to reduction in abundance of spawners. The estimated population fecundity of approximately 4.7 million eggs in 2020 represents an 81% decline from the mean estimate of previous samples and an 87% reduction from peak population fecundity. Despite declines in population fecundity, age-2 recruitment has increased in recent years; our results suggest these increases are not related to changes in reproductive demographics, but rather are related to increased prerecruitment survival. Our results provide information for understanding temporal variation in spawning stock biomass of Lake Trout in Yellowstone Lake and the capacity of the population to respond to suppression. When responding to an invasive species, fishery managers should recognize that population characteristics (e.g., reproduction demographics, population dynamics) in invaded systems may differ from those in the species’ native range; such differences can influence the effectiveness of management actions and policies.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10320","usgsCitation":"Heredia, N.A., Gresswell, R.E., Webb, M.A., Brenden, T., and Sandstrom, P., 2021, Invasive Lake Trout reproduction in Yellowstone Lake under an active suppression program: Transactions of the American Fisheries Society, v. 150, p. 637-650, https://doi.org/10.1002/tafs.10320.","productDescription":"14 p.","startPage":"637","endPage":"650","ipdsId":"IP-101302","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":451168,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.montana.edu/xmlui/handle/1/17172","text":"External Repository"},{"id":410470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.17221715497779,\n 44.31593705993478\n ],\n [\n -110.2779915024647,\n 44.432370639062185\n ],\n [\n -110.26952955466584,\n 44.542541941218076\n ],\n [\n -110.35626451960522,\n 44.56515410795788\n ],\n [\n -110.44088399759472,\n 44.54404969234673\n ],\n [\n -110.42396010199703,\n 44.48823689405097\n ],\n [\n -110.50011763218768,\n 44.464085073466265\n ],\n [\n -110.55300480593115,\n 44.47767170254781\n ],\n [\n -110.58685259712706,\n 44.432370639062185\n ],\n [\n -110.55512029288099,\n 44.373426719559944\n ],\n [\n -110.50011763218768,\n 44.390057940650394\n ],\n [\n -110.48954019743901,\n 44.420284420344046\n ],\n [\n -110.43453753674571,\n 44.41726247520114\n ],\n [\n -110.41338266724834,\n 44.3885462066863\n ],\n [\n -110.44934594539359,\n 44.365865511810995\n ],\n [\n -110.39645877165013,\n 44.3643531531269\n ],\n [\n -110.36472646740405,\n 44.370402353594415\n ],\n [\n -110.36895744130373,\n 44.33409778013848\n ],\n [\n -110.34145611095684,\n 44.28414227119808\n ],\n [\n -110.30760831976093,\n 44.264451154612374\n ],\n [\n -110.29279991111306,\n 44.300798831687814\n ],\n [\n -110.3054928328116,\n 44.35225287805176\n ],\n [\n -110.28645345026354,\n 44.3719145560996\n ],\n [\n -110.28010698941453,\n 44.31290972662845\n ],\n [\n -110.23779725041976,\n 44.285656699181146\n ],\n [\n -110.17010166802795,\n 44.31442341280314\n ],\n [\n -110.17010166802795,\n 44.317450668023355\n ],\n [\n -110.17221715497779,\n 44.31593705993478\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"150","noUsgsAuthors":false,"publicationDate":"2021-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Heredia, Nicholas A.","contributorId":181858,"corporation":false,"usgs":false,"family":"Heredia","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":858987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":858988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A.H.","contributorId":299904,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A.H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":858989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brenden, Travis O.","contributorId":276046,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":859012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Philip T.","contributorId":299906,"corporation":false,"usgs":false,"family":"Sandstrom","given":"Philip T.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":858992,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254958,"text":"70254958 - 2021 - Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA","interactions":[],"lastModifiedDate":"2024-06-12T00:51:25.829931","indexId":"70254958","displayToPublicDate":"2021-08-14T19:50:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Effects-based monitoring of bioactive compounds associated with municipal wastewater treatment plant effluent discharge to the South Platte River, Colorado, USA","docAbstract":"Previous studies have detected numerous organic contaminants and in vitro bioactivities in surface water from the South Platte River near Denver, Colorado, USA. To evaluate the temporal and spatial distribution of selected contaminants of emerging concern, water samples were collected throughout 2018 and 2019 at 11 sites within the S. Platte River and surrounding tributaries with varying proximities to a major wastewater treatment plant (WWTP). Water samples were analyzed for pharmaceuticals, pesticides, steroid hormones, and wastewater indicators and screened for in vitro biological activities. Multiplexed, in vitro assays that simultaneously screen for agonistic activity against 24 human nuclear receptors detected estrogen receptor (ER), peroxisome proliferator activated receptor-gamma (PPARγ), and glucocorticoid receptor (GR) bioactivities in water samples near the WWTP outflow. Targeted in vitro bioassays assessing ER, GR, and PPARγ agonism corroborated bioactivities for ER (up to 55 ± 9.7 ng/L 17β-estradiol equivalents) and GR (up to 156 ± 28 ng/L dexamethasone equivalents), while PPARγ activity was not confirmed. To evaluate the potential in vivo significance of the bioactive contaminants, sexually-mature fathead minnows were caged at six locations upstream and downstream of the WWTP for 5 days after which targeted gene expression analyses were performed. Significant up-regulation of male hepatic vitellogenin was observed at sites with corresponding in vitro ER activity. No site-related differences in GR-related transcript abundance were detected in female adipose or male livers, suggesting observed environmental concentrations of GR-active contaminants do not induce a detectable in vivo response. In line with the lack of detectable targeted in vitro PPARɣ activity, there were no significant effects on PPARɣ-related gene expression. Although the chemicals responsible for GR and PPAR-mediated bioactivities are unknown, results from the present study provide insights into the significance (or lack thereof) of these bioactivities relative to short-term in situ fish exposures.
The small and remote Easter Island (Rapa Nui) has a complex and still partially unknown history of human colonization and interactions with the environment. Previous research from sedimentary archives collected in the three freshwater bodies of Rapa Nui document dramatic environmental changes over the last two millennia. Yet, the characteristics of sediments and paleoenvironmental records are challenging to interpret, mainly due to poor temporal resolution, hiatuses and sediment mixing.
In this study, we reconstruct past changes in lithogenic inputs, weathering processes, redox conditions, productivity and water levels in the Rano Aroi wetland over the last 2000 years through the determination of major, trace and rare earth elements in a new peat core collected in 2017. The chronology is based on 8 14C AMS dates for the upper 1.5 m and provides decadal to multi-decadal resolution which is unprecedented for the island of Rapa Nui. The multielemental proxies depict seven distinct chronological phases marked by well-defined geochemical transitions. With only a few minor fluctuations, climate conditions were dry and the mire was mildly anoxic during the first millennium (0–1000 CE) to the arrival of the first Polynesians in Rapa Nui (800–1300 CE) and until ∼1400 CE, followed by wetter conditions afterwards. The record documents with unprecedented accuracy and resolution intense droughts occurring during the middle Little Ice Age between 1520 and 1710 CE, which may have been exacerbated by human activities and triggered dramatic cultural shifts. During the interval of first contact between the Rapanuis and Europeans, the climate changed to wetter conditions, followed by intense precipitations between 1790 and 1900 CE.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2021.107115","usgsCitation":"Roman, M., McWethy, D.B., Kehrwald, N., Osayuki Erhenhi, E., Myrbo, A.E., Ramirez Aliaga, J., Pauchard, A., Turetta, C., Barbante, C., Prebble, M., Argiriadis, E., and Battistel, D., 2021, A multi-decadal geochemical record from Rano Aroi (Easter Island/Rapa Nui): Implications for the environment, climate and humans during the last two millennia: Quaternary Science Reviews, v. 268, 107115, 19 p., https://doi.org/10.1016/j.quascirev.2021.107115.","productDescription":"107115, 19 p.","ipdsId":"IP-121878","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":387985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Rano Aroi","volume":"268","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roman, Marco","contributorId":202818,"corporation":false,"usgs":false,"family":"Roman","given":"Marco","email":"","affiliations":[{"id":36530,"text":"ECSIN -- European Center for the Sustainable Impact of Nanotechnology","active":true,"usgs":false}],"preferred":false,"id":821288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":821289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":821290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osayuki Erhenhi, Evans","contributorId":264288,"corporation":false,"usgs":false,"family":"Osayuki Erhenhi","given":"Evans","email":"","affiliations":[{"id":37183,"text":"Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":821291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Myrbo, Amy E.","contributorId":264289,"corporation":false,"usgs":false,"family":"Myrbo","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":54425,"text":"St. Croix Watershed Research Station, Science Museum of Minnesota, USA","active":true,"usgs":false}],"preferred":false,"id":821292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ramirez Aliaga, José M.","contributorId":264290,"corporation":false,"usgs":false,"family":"Ramirez Aliaga","given":"José M.","affiliations":[{"id":54426,"text":"Grupo Interdisciplinario de Investigacion Avanzada, Universidad de Playa Ancha, Viña Del Mar, Chile","active":true,"usgs":false}],"preferred":false,"id":821293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pauchard, Anibal","contributorId":264291,"corporation":false,"usgs":false,"family":"Pauchard","given":"Anibal","affiliations":[{"id":54427,"text":"Institute of Ecology and Biodiversity, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":821294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Turetta, Clara","contributorId":264292,"corporation":false,"usgs":false,"family":"Turetta","given":"Clara","email":"","affiliations":[{"id":54428,"text":"Institute of Polar Science – National Research Council ISP-CNR , Italy","active":true,"usgs":false}],"preferred":false,"id":821295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barbante, Carlo","contributorId":202632,"corporation":false,"usgs":false,"family":"Barbante","given":"Carlo","email":"","affiliations":[{"id":36503,"text":"Department of Environmental Sciences, Infomatics, and Statistics, Ca'Foscari University of Venice, Via Torino 155, 30172 Mestre (VE), Italy","active":true,"usgs":false}],"preferred":false,"id":821296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Prebble, Matthew","contributorId":213179,"corporation":false,"usgs":false,"family":"Prebble","given":"Matthew","email":"","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":821297,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Argiriadis, Elena","contributorId":207231,"corporation":false,"usgs":false,"family":"Argiriadis","given":"Elena","affiliations":[{"id":37489,"text":"University of Venice, Ca' Foscari","active":true,"usgs":false}],"preferred":false,"id":821298,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Battistel, Dario","contributorId":205865,"corporation":false,"usgs":false,"family":"Battistel","given":"Dario","email":"","affiliations":[{"id":37181,"text":"Department of Environmental Science, Informatics and Statistics, Ca' Foscari University of Venice, Italy","active":true,"usgs":false}],"preferred":false,"id":821299,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70224245,"text":"70224245 - 2021 - Biocrust and the soil surface: Influence of climate, disturbance, and biocrust recovery on soil surface roughness","interactions":[],"lastModifiedDate":"2021-09-15T12:39:04.965398","indexId":"70224245","displayToPublicDate":"2021-08-14T07:34:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Biocrust and the soil surface: Influence of climate, disturbance, and biocrust recovery on soil surface roughness","docAbstract":"Biocrust communities promote soil surface roughness, a key functional characteristic for soil ecology. However, the spatial scales at which biocrust communities contribute to surface roughness are not well understood. To refine our understanding of the spatial dynamics between biocrust and soil surface roughness, we used mm-resolution terrestrial LiDAR to measure micro-topographic roughness at seven sub-meter, 3-dimensional kernels (spatial scales) for undisturbed and disturbed biocrusts within the cool Great Basin and the hot Chihuahuan Deserts of western North America. This multi-scalar approach applied within the different desert regions allowed us to explore two objectives: 1) assess the relative importance of climate and disturbance on biocrust roughness, and 2) evaluate how soil surface roughness evolves with biocrust recovery. For objective 1, we found that undisturbed cool desert biocrust was up to three times rougher than hot desert biocrust. Much of the difference in roughness between the two desert biocrust communities appeared to be from climate or other regional factors. However, positive correlations between roughness and biocrust indicators, including soil chlorophyll-a and the field-based Level of Development (LOD) index, suggested that differences in roughness at spatial scales ≤ 10 cm are directly related to biocrust development. Mechanical disturbance aimed at removing biocrust resulted in significant reductions in roughness and removed much of the observed differences in roughness between cool and hot desert soils. We evaluated biocrust recovery within the cool desert study area two years after mechanical disturbance and found that the disturbed soil increased in roughness up-to 300%. The increased surface roughness at spatial scales ≤ 10 cm were positively correlated with increased aggregate stability and indicators of biocrust reestablishment. We found that topographic change area was also an important contributor to roughness at all spatial scales, particularly at spatial scales ≥ 20 cm where it was the most important factor evaluated. These results provide insight into how biocrust interacts with other biophysical processes to influence soil surface roughness and how soil surfaces evolve at time scales relevant to soil restoration activities.
Invasive predators have caused catastrophic declines in native wildlife across the globe. Though research has focused on the initial establishment, rapid growth, and spread of invasive predators, our understanding of prey resilience to established invasive predators remains limited. As a direct result of invasive Burmese pythons (Python molurus bivittatus), medium- to large-bodied native mammals decreased drastically across much of southern Florida as early as 2003. By 2014, most of these mammal species were exceedingly rare within the core invasion area, while pythons expanded outward to newly invaded areas. We used python observations to delineate the core python invasion area from the more recently invaded invasion front, and we compared changes in mammal occurrence from 2014 to 2019 between these two areas. We surveyed mammal communities using camera traps and scat surveys and used these observations to quantify the changes in occurrence among mammal species. As expected, occurrence of medium- and large-bodied mammals declined within the invasion front. However, contrary to our expectation, we observed little evidence of resilience among mammals within the invasion core. Of the 15 species detected in 2019, invasive black rats were the only species to increase in occurrence within the invasion core. Additionally, we observed declines in occurrence among native rodents within the invasion core, which were previously thought to be resistant to the effects of pythons. The continued presence of invasive pythons appears to be shifting the diverse mammal communities of southern Florida to one primarily composed of invasive species.
Native-range thermal constraints may not reflect the geographical distributions of species introduced from native island ranges in part due to rapid physiological adaptation in species introduced to new environments. Correlative ecological niche models may thus underestimate potential invasive distributions of species from islands. The northern curly-tailed lizard (Leiocephalus carinatus) is established in Florida, including populations north of its native range. Competing hypotheses may explain this distribution: Thermal Matching (distribution reflects thermal conditions of the native range), Thermal Potential (species tolerates thermal extremes absent in the native range) and/or Thermal Flexibility (thermal tolerance reflects local thermal extremes). We rejected the Thermal Matching hypothesis by comparing ecological niche models developed from native vs. native plus invasive distributions; L. carinatus exists in areas of low suitability in Florida as predicted by the native-distribution model. We then compared critical thermal limits of L. carinatus from two non-native populations to evaluate the Thermal Potential and Flexibility hypotheses: one matching native range latitudes, and another 160 km north of the native range that experiences more frequent cold weather events. Critical thermal minima in the northern population were lower than in the south, supporting the Thermal Flexibility hypothesis, whereas critical thermal maxima did not differ.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biolinnean/blab103","usgsCitation":"Claunch, N.M., Goodman, C., Reed, R., Guralnick, R.P., Romagosa, C.M., and Taylor, E., 2021, Invaders from islands: Thermal matching, potential or flexibility?: Biological Journal of the Linnaean Society, v. 134, no. 3, p. 587-603, https://doi.org/10.1093/biolinnean/blab103.","productDescription":"17 p.","startPage":"587","endPage":"603","ipdsId":"IP-126295","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":451178,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biolinnean/blab103","text":"Publisher Index Page"},{"id":436241,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XGK1GG","text":"USGS data release","linkHelpText":"Florida invasive Leiocephalus carinatus ecological niche model, thermal environment, and thermal tolerance, 1991-2020"},{"id":393290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Cuba, United States","state":"Florida","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-82.821585,27.964443],[-82.829801,27.968469],[-82.823063,28.044758],[-82.836326,28.073193],[-82.830525,28.085293],[-82.813435,28.03716],[-82.815168,28.012547],[-82.821755,28.002494],[-82.815168,27.973721],[-82.821585,27.964443]]],[[[-81.582923,24.658732],[-81.562917,24.692912],[-81.535323,24.67954],[-81.51898,24.687818],[-81.5124,24.703737],[-81.476642,24.711244],[-81.469275,24.704286],[-81.459043,24.707355],[-81.451881,24.714518],[-81.456588,24.740097],[-81.451267,24.747464],[-81.432032,24.722908],[-81.421595,24.737641],[-81.430599,24.747259],[-81.425483,24.752989],[-81.392947,24.743371],[-81.38558,24.726182],[-81.36041,24.708788],[-81.319282,24.701238],[-81.309664,24.665017],[-81.298028,24.656774],[-81.332831,24.639528],[-81.395096,24.621062],[-81.401946,24.623564],[-81.403319,24.640294],[-81.414187,24.647167],[-81.448623,24.640172],[-81.470411,24.641985],[-81.480951,24.645121],[-81.47641,24.653197],[-81.480504,24.659757],[-81.49858,24.66498],[-81.511165,24.625135],[-81.54645,24.614895],[-81.602998,24.586444],[-81.664209,24.573143],[-81.685278,24.558739],[-81.810333,24.544701],[-81.814446,24.56358],[-81.811386,24.56975],[-81.800676,24.570989],[-81.794057,24.586],[-81.739241,24.589973],[-81.730473,24.58196],[-81.705364,24.597647],[-81.687017,24.592534],[-81.655735,24.616295],[-81.637087,24.621408],[-81.614829,24.642764],[-81.614529,24.650584],[-81.582923,24.658732]]],[[[-82.15068,24.576331],[-82.143075,24.593395],[-82.125268,24.597426],[-82.104187,24.588256],[-82.099417,24.572522],[-82.116787,24.549144],[-82.159439,24.548212],[-82.165206,24.552159],[-82.164426,24.563375],[-82.15068,24.576331]]],[[[-81.249799,24.673357],[-81.243232,24.673998],[-81.281778,24.65375],[-81.260006,24.674848],[-81.249799,24.673357]]],[[[-80.909954,24.781154],[-80.906288,24.769867],[-80.912042,24.76505],[-80.938543,24.767535],[-81.015933,24.719881],[-81.023794,24.716901],[-81.032447,24.727323],[-81.064554,24.715453],[-81.075855,24.704266],[-81.078439,24.692382],[-81.108041,24.688592],[-81.125371,24.708291],[-81.066816,24.723926],[-81.041797,24.742965],[-81.016918,24.734676],[-80.960129,24.764226],[-80.909954,24.781154]]],[[[-81.317673,24.75729],[-81.305468,24.756612],[-81.290801,24.736862],[-81.288259,24.720881],[-81.302984,24.714199],[-81.310744,24.727068],[-81.326844,24.728375],[-81.357417,24.756834],[-81.342695,24.75625],[-81.324637,24.76721],[-81.317673,24.75729]]],[[[-80.89054,24.791678],[-80.884572,24.791561],[-80.906874,24.783744],[-80.89054,24.791678]]],[[[-80.788263,24.824218],[-80.796053,24.81194],[-80.822342,24.812629],[-80.850338,24.8026],[-80.79278,24.843918],[-80.780564,24.84052],[-80.788263,24.824218]]],[[[-80.729275,24.865361],[-80.719977,24.864644],[-80.691762,24.885759],[-80.690354,24.881539],[-80.71185,24.863323],[-80.766966,24.836158],[-80.729275,24.865361]]],[[[-84.777208,29.707398],[-84.729836,29.738881],[-84.696726,29.76993],[-84.694125,29.764593],[-84.713747,29.74139],[-84.776954,29.692191],[-84.884632,29.652248],[-84.957779,29.612635],[-85.051033,29.586928],[-85.09519,29.62249],[-85.094882,29.627757],[-85.06653,29.609952],[-85.023501,29.597073],[-85.017205,29.604379],[-84.968314,29.617238],[-84.920333,29.648638],[-84.813352,29.687028],[-84.777208,29.707398]]],[[[-85.156415,29.679628],[-85.114268,29.688658],[-85.093902,29.684838],[-85.077237,29.670862],[-85.097218,29.633004],[-85.124913,29.628433],[-85.18453,29.663987],[-85.222546,29.678039],[-85.184776,29.68271],[-85.156415,29.679628]]],[[[-82.255777,26.703437],[-82.255159,26.70816],[-82.246535,26.706435],[-82.24251,26.694361],[-82.246535,26.683437],[-82.218342,26.626407],[-82.177541,26.502328],[-82.166042,26.489679],[-82.149368,26.477605],[-82.120046,26.473581],[-82.088423,26.455182],[-82.076924,26.466106],[-82.062551,26.470131],[-82.038403,26.456907],[-82.015607,26.454858],[-82.063114,26.425459],[-82.082915,26.422059],[-82.126671,26.436279],[-82.177017,26.471558],[-82.186441,26.489221],[-82.205523,26.566536],[-82.222131,26.590402],[-82.238872,26.636433],[-82.268007,26.682791],[-82.264351,26.698496],[-82.255777,26.703437]]],[[[-80.250581,25.34193],[-80.351399,25.190615],[-80.349855,25.168825],[-80.377084,25.130487],[-80.399767,25.108536],[-80.428318,25.095547],[-80.443375,25.076084],[-80.47387,25.060253],[-80.493881,25.038502],[-80.48912,25.031301],[-80.494781,25.023019],[-80.537995,24.990244],[-80.565831,24.958155],[-80.611693,24.93842],[-80.635571,24.913003],[-80.659395,24.897433],[-80.660198,24.90498],[-80.623866,24.931236],[-80.621658,24.944265],[-80.581131,24.964738],[-80.570813,24.962215],[-80.558785,24.971505],[-80.54411,24.999916],[-80.545971,25.01477],[-80.524498,25.016945],[-80.509136,25.028317],[-80.460652,25.078904],[-80.494715,25.102269],[-80.484188,25.10943],[-80.47748,25.107407],[-80.476174,25.099454],[-80.450399,25.088751],[-80.433575,25.106317],[-80.446473,25.151287],[-80.41326,25.137053],[-80.395467,25.150694],[-80.387164,25.170859],[-80.391909,25.19221],[-80.369965,25.206444],[-80.3498,25.210595],[-80.337345,25.231353],[-80.336159,25.261601],[-80.368186,25.282359],[-80.339421,25.290069],[-80.328746,25.28651],[-80.292567,25.314385],[-80.275961,25.344039],[-80.256982,25.361239],[-80.246307,25.398603],[-80.21428,25.416988],[-80.192336,25.473331],[-80.188778,25.50773],[-80.174544,25.518406],[-80.173951,25.482821],[-80.204198,25.412244],[-80.221991,25.397417],[-80.240376,25.347005],[-80.250581,25.34193]]],[[[-83.309455,30.634417],[-82.214839,30.568591],[-82.231916,30.55627],[-82.23582,30.537187],[-82.226933,30.510281],[-82.201416,30.485164],[-82.210291,30.42459],[-82.19294,30.378779],[-82.165192,30.358035],[-82.104834,30.368319],[-82.094687,30.360781],[-82.068533,30.359184],[-82.050069,30.362338],[-82.036825,30.377884],[-82.04199,30.403266],[-82.034005,30.422357],[-82.037209,30.434518],[-82.017779,30.475081],[-82.018361,30.531184],[-82.005477,30.563495],[-82.015708,30.601704],[-82.026941,30.606153],[-82.028499,30.621829],[-82.049507,30.655548],[-82.050432,30.676266],[-82.036426,30.706585],[-82.043795,30.729641],[-82.039634,30.747727],[-82.01266,30.761289],[-82.024035,30.783156],[-82.017051,30.791657],[-82.007865,30.792937],[-81.981273,30.776767],[-81.973856,30.778487],[-81.962534,30.796526],[-81.962175,30.818001],[-81.949787,30.827493],[-81.910926,30.815889],[-81.89572,30.821098],[-81.868608,30.792754],[-81.852626,30.794439],[-81.842058,30.78712],[-81.808529,30.790014],[-81.792769,30.784432],[-81.782653,30.769937],[-81.763372,30.77382],[-81.719927,30.744634],[-81.694778,30.748414],[-81.688925,30.741434],[-81.672824,30.738935],[-81.664598,30.746599],[-81.652123,30.742435],[-81.646137,30.727591],[-81.625098,30.733017],[-81.617663,30.722046],[-81.609495,30.720705],[-81.601206,30.728141],[-81.540923,30.713343],[-81.528278,30.723359],[-81.489537,30.7261],[-81.472597,30.713312],[-81.444124,30.709714],[-81.42742,30.69802],[-81.443099,30.600938],[-81.442564,30.555189],[-81.434064,30.522569],[-81.447087,30.503679],[-81.42601,30.496739],[-81.410809,30.482039],[-81.385505,30.273841],[-81.308978,29.96944],[-81.295268,29.928614],[-81.270442,29.883106],[-81.256711,29.784693],[-81.240924,29.739218],[-81.163581,29.55529],[-80.966176,29.14796],[-80.709725,28.756692],[-80.574868,28.585166],[-80.560973,28.530736],[-80.525094,28.459454],[-80.526732,28.451705],[-80.562877,28.437779],[-80.587813,28.410856],[-80.606874,28.336484],[-80.604214,28.257733],[-80.589975,28.17799],[-80.566432,28.09563],[-80.508871,27.970477],[-80.383695,27.740045],[-80.350553,27.628361],[-80.330956,27.597541],[-80.311757,27.524625],[-80.30117,27.500314],[-80.293171,27.500314],[-80.253665,27.37979],[-80.16147,27.192814],[-80.153375,27.169308],[-80.159554,27.163325],[-80.093909,27.018587],[-80.031362,26.796339],[-80.03212,26.77153],[-80.037462,26.76634],[-80.032862,26.700842],[-80.038863,26.569347],[-80.108995,26.088372],[-80.117778,25.986369],[-80.119684,25.841043],[-80.127987,25.772245],[-80.144,25.740812],[-80.154972,25.66549],[-80.160903,25.664897],[-80.176916,25.685062],[-80.166241,25.72895],[-80.184626,25.745557],[-80.197674,25.74437],[-80.240376,25.724206],[-80.267065,25.651849],[-80.296719,25.622195],[-80.305615,25.593134],[-80.302057,25.567632],[-80.313918,25.539164],[-80.328746,25.53264],[-80.339421,25.499427],[-80.337049,25.465621],[-80.320442,25.437153],[-80.326373,25.422919],[-80.32578,25.39801],[-80.306801,25.384369],[-80.31036,25.3731],[-80.335269,25.338701],[-80.374116,25.31735],[-80.418872,25.235532],[-80.495341,25.199463],[-80.569124,25.190117],[-80.669236,25.137837],[-80.777499,25.135047],[-80.82653,25.160478],[-80.838227,25.174791],[-80.858167,25.176576],[-80.899459,25.162337],[-80.900559,25.139755],[-80.971585,25.13398],[-80.999176,25.124222],[-81.049308,25.128322],[-81.079859,25.118797],[-81.141024,25.163868],[-81.146737,25.193139],[-81.171265,25.221609],[-81.16207,25.289833],[-81.148915,25.318067],[-81.151916,25.324766],[-81.140099,25.341117],[-81.12141,25.33875],[-81.117265,25.354953],[-81.128492,25.380511],[-81.150508,25.387255],[-81.147144,25.404297],[-81.168652,25.463848],[-81.208201,25.504937],[-81.204389,25.538908],[-81.209321,25.548611],[-81.225557,25.55847],[-81.240519,25.599041],[-81.240677,25.613629],[-81.253951,25.638181],[-81.290328,25.687506],[-81.328935,25.717233],[-81.346078,25.721473],[-81.343984,25.747668],[-81.361875,25.772715],[-81.340406,25.786631],[-81.352731,25.822015],[-81.417536,25.864954],[-81.458487,25.868929],[-81.473992,25.888411],[-81.508979,25.884037],[-81.511762,25.89676],[-81.527665,25.901531],[-81.584519,25.888808],[-81.644553,25.897953],[-81.663821,25.885605],[-81.678287,25.845301],[-81.68954,25.85271],[-81.713172,25.897568],[-81.727086,25.907207],[-81.73195,25.931506],[-81.749724,25.960463],[-81.747834,25.994273],[-81.762439,26.00607],[-81.801663,26.088227],[-81.833142,26.294518],[-81.868983,26.378648],[-81.91171,26.427158],[-81.964212,26.457957],[-81.969509,26.476505],[-82.008961,26.484052],[-82.01368,26.490829],[-82.00908,26.505203],[-82.024604,26.512677],[-82.043577,26.519577],[-82.06715,26.513252],[-82.07175,26.492554],[-82.105672,26.48393],[-82.111996,26.54085],[-82.137869,26.637441],[-82.181565,26.681712],[-82.17984,26.696661],[-82.173516,26.701836],[-82.139019,26.702986],[-82.125795,26.699536],[-82.106247,26.667339],[-82.099922,26.662739],[-82.093023,26.665614],[-82.084974,26.702411],[-82.066575,26.742657],[-82.061401,26.789228],[-82.055076,26.802452],[-82.059101,26.876621],[-82.090723,26.888694],[-82.093023,26.906518],[-82.090148,26.923191],[-82.061976,26.931241],[-82.063126,26.950214],[-82.076349,26.958263],[-82.107972,26.957688],[-82.117171,26.954239],[-82.137294,26.926066],[-82.162017,26.925491],[-82.175241,26.916867],[-82.156267,26.851898],[-82.147068,26.789803],[-82.17869,26.772555],[-82.221812,26.77198],[-82.232193,26.78288],[-82.251134,26.755881],[-82.259867,26.717398],[-82.269499,26.784674],[-82.289086,26.827784],[-82.351649,26.908384],[-82.445718,27.060634],[-82.477019,27.141231],[-82.539719,27.254326],[-82.569754,27.279452],[-82.569248,27.298588],[-82.597629,27.335754],[-82.691821,27.437218],[-82.714521,27.500415],[-82.745748,27.538834],[-82.708121,27.523514],[-82.706821,27.498415],[-82.686421,27.497215],[-82.683621,27.513115],[-82.65072,27.523115],[-82.612019,27.571231],[-82.613003,27.582837],[-82.570607,27.608882],[-82.558538,27.638678],[-82.514265,27.705588],[-82.494891,27.718963],[-82.477638,27.723004],[-82.482305,27.742649],[-82.434635,27.764355],[-82.418401,27.803187],[-82.402857,27.812671],[-82.393383,27.837519],[-82.402615,27.882602],[-82.413915,27.901401],[-82.451591,27.907506],[-82.478063,27.92768],[-82.491117,27.9145],[-82.488057,27.863566],[-82.46884,27.843295],[-82.47244,27.822559],[-82.511193,27.828015],[-82.553946,27.848462],[-82.552918,27.862702],[-82.538618,27.864901],[-82.529918,27.877501],[-82.542818,27.890601],[-82.531318,27.9039],[-82.533718,27.932999],[-82.553918,27.966998],[-82.576003,27.969424],[-82.62959,27.998474],[-82.678606,27.993715],[-82.684793,27.971824],[-82.720522,27.955798],[-82.720395,27.937199],[-82.710022,27.928299],[-82.691621,27.924899],[-82.685121,27.916299],[-82.628063,27.910397],[-82.63422,27.9037],[-82.63212,27.8911],[-82.61002,27.873501],[-82.567919,27.883701],[-82.566819,27.858002],[-82.598443,27.857582],[-82.586519,27.816703],[-82.622723,27.779868],[-82.63052,27.753905],[-82.62572,27.727006],[-82.63362,27.710607],[-82.652521,27.700307],[-82.677321,27.706207],[-82.679019,27.696054],[-82.713629,27.698661],[-82.718822,27.692007],[-82.721622,27.663908],[-82.712555,27.646647],[-82.698091,27.638858],[-82.705017,27.62531],[-82.733076,27.612972],[-82.739122,27.636909],[-82.738022,27.706807],[-82.746223,27.731306],[-82.760923,27.745205],[-82.783124,27.783804],[-82.828561,27.822254],[-82.846526,27.854301],[-82.851126,27.8863],[-82.840882,27.937162],[-82.831388,27.962117],[-82.824875,27.960201],[-82.838484,27.909111],[-82.832155,27.909242],[-82.805462,27.960201],[-82.792635,28.01116],[-82.792635,28.032307],[-82.782724,28.055894],[-82.781324,28.127591],[-82.790724,28.15249],[-82.808474,28.154803],[-82.805097,28.172181],[-82.797762,28.187789],[-82.762643,28.219013],[-82.764103,28.244345],[-82.746188,28.261192],[-82.732792,28.291933],[-82.73146,28.325075],[-82.706112,28.368057],[-82.706322,28.401325],[-82.697433,28.420166],[-82.674787,28.441956],[-82.680396,28.457194],[-82.665055,28.484434],[-82.669416,28.519879],[-82.656694,28.544814],[-82.66165,28.554143],[-82.654138,28.590837],[-82.664055,28.606584],[-82.674665,28.647588],[-82.668889,28.694302],[-82.712373,28.720921],[-82.698281,28.75701],[-82.730245,28.850155],[-82.688864,28.905609],[-82.702618,28.932955],[-82.735754,28.973709],[-82.737872,28.995703],[-82.758906,28.993277],[-82.764055,28.999707],[-82.753513,29.026496],[-82.759704,29.054192],[-82.783328,29.064619],[-82.780558,29.07358],[-82.816925,29.076215],[-82.823659,29.098902],[-82.801166,29.105103],[-82.799117,29.110647],[-82.804736,29.146624],[-82.827073,29.158425],[-82.974676,29.17091],[-82.991653,29.180664],[-83.018212,29.151417],[-83.019071,29.141324],[-83.053207,29.130839],[-83.056867,29.146263],[-83.068249,29.153135],[-83.061162,29.176113],[-83.087839,29.21642],[-83.074734,29.247975],[-83.077265,29.255331],[-83.089013,29.266502],[-83.107477,29.268889],[-83.128027,29.282733],[-83.169576,29.290355],[-83.17826,29.327916],[-83.175518,29.34469],[-83.200702,29.373855],[-83.202446,29.394422],[-83.218075,29.420492],[-83.240509,29.433178],[-83.294747,29.437923],[-83.311546,29.475666],[-83.33113,29.475594],[-83.356722,29.499901],[-83.370288,29.499901],[-83.383973,29.512995],[-83.400252,29.517242],[-83.405256,29.578319],[-83.39948,29.612956],[-83.414701,29.670536],[-83.455356,29.676444],[-83.483143,29.690478],[-83.483567,29.698542],[-83.493728,29.708388],[-83.537645,29.72306],[-83.566018,29.761434],[-83.584716,29.77608],[-83.585899,29.811754],[-83.595493,29.827984],[-83.618568,29.842336],[-83.63798,29.886073],[-83.679219,29.918513],[-83.788729,29.976982],[-83.82869,29.983187],[-83.845427,29.998068],[-83.93151,30.039068],[-83.931879,30.044175],[-83.991607,30.08392],[-84.000716,30.096209],[-84.024274,30.103271],[-84.06299,30.101378],[-84.083057,30.092286],[-84.10273,30.093611],[-84.11384,30.085478],[-84.124889,30.090601],[-84.167881,30.071422],[-84.179149,30.073187],[-84.19853,30.087937],[-84.237014,30.08556],[-84.247491,30.10114],[-84.256439,30.103791],[-84.272511,30.092358],[-84.270792,30.068094],[-84.277168,30.060263],[-84.297836,30.057451],[-84.315344,30.069492],[-84.358923,30.058224],[-84.365882,30.024588],[-84.361962,29.987739],[-84.3477,29.984123],[-84.343041,29.9751],[-84.333746,29.923721],[-84.349066,29.896812],[-84.378937,29.893112],[-84.423834,29.902996],[-84.443652,29.913785],[-84.451705,29.929085],[-84.494562,29.913957],[-84.511996,29.916574],[-84.535873,29.910092],[-84.603303,29.876117],[-84.647958,29.847104],[-84.65645,29.834277],[-84.692053,29.829059],[-84.755595,29.78854],[-84.868271,29.742454],[-84.888031,29.722406],[-84.901781,29.735723],[-84.877111,29.772888],[-84.90413,29.786279],[-84.91511,29.783303],[-84.93837,29.750211],[-84.964007,29.742422],[-84.968841,29.72708],[-84.993264,29.714961],[-85.037212,29.711074],[-85.072123,29.719027],[-85.121473,29.715854],[-85.177284,29.700193],[-85.22745,29.693633],[-85.259719,29.681296],[-85.319215,29.681494],[-85.343619,29.672004],[-85.347711,29.66719],[-85.344768,29.654793],[-85.380303,29.698485],[-85.397871,29.740498],[-85.413983,29.799865],[-85.417971,29.828855],[-85.413575,29.85294],[-85.405815,29.865817],[-85.392469,29.870914],[-85.405011,29.830151],[-85.405907,29.80193],[-85.37796,29.709621],[-85.353885,29.684765],[-85.317661,29.691286],[-85.31139,29.697557],[-85.302591,29.808094],[-85.31142,29.814373],[-85.317464,29.838894],[-85.336654,29.849295],[-85.363731,29.898915],[-85.405052,29.938487],[-85.425956,29.949888],[-85.487764,29.961227],[-85.509148,29.971466],[-85.571907,30.02644],[-85.588242,30.055543],[-85.601178,30.056342],[-85.69681,30.09689],[-85.775405,30.15629],[-85.9226,30.238024],[-86.089963,30.303569],[-86.222561,30.343585],[-86.2987,30.363049],[-86.412076,30.380346],[-86.50615,30.3823],[-86.632953,30.396299],[-86.750906,30.391881],[-86.909679,30.372423],[-87.206254,30.320943],[-87.267827,30.31548],[-87.295422,30.323503],[-87.518324,30.280435],[-87.452378,30.300201],[-87.450078,30.3111],[-87.50278,30.307301],[-87.504701,30.324039],[-87.459978,30.3363],[-87.452278,30.344099],[-87.451878,30.364999],[-87.438678,30.380798],[-87.440678,30.391498],[-87.429578,30.406498],[-87.403477,30.410198],[-87.366591,30.436648],[-87.36868,30.444631],[-87.404677,30.452897],[-87.425078,30.465596],[-87.434678,30.479196],[-87.431178,30.495795],[-87.447702,30.510458],[-87.446586,30.527068],[-87.43544,30.54914],[-87.418647,30.561837],[-87.406558,30.599928],[-87.397308,30.608728],[-87.397262,30.654351],[-87.412739,30.678055],[-87.449362,30.698913],[-87.466338,30.700835],[-87.481225,30.716508],[-87.502317,30.72159],[-87.511729,30.733535],[-87.532607,30.743489],[-87.545044,30.778666],[-87.615923,30.834693],[-87.634938,30.865886],[-87.592055,30.951492],[-87.589187,30.964464],[-87.599172,30.995722],[-87.571281,30.99787],[-85.998643,30.99287],[-85.002368,31.000682],[-85.005105,30.974704],[-84.980127,30.961286],[-84.983627,30.936986],[-84.935413,30.882481],[-84.935256,30.854328],[-84.928335,30.844263],[-84.936042,30.820671],[-84.918023,30.77809],[-84.920123,30.76599],[-84.914322,30.753591],[-84.897622,30.751391],[-84.864693,30.711542],[-83.309455,30.634417]]],[[[-82.26815,23.18861],[-81.40446,23.11727],[-80.61877,23.10598],[-79.67952,22.7653],[-79.28149,22.3992],[-78.34743,22.51217],[-77.9933,22.27719],[-76.52382,21.20682],[-76.19462,21.22057],[-75.59822,21.01662],[-75.67106,20.73509],[-74.9339,20.69391],[-74.17802,20.28463],[-74.29665,20.05038],[-74.96159,19.92344],[-75.63468,19.87377],[-76.32366,19.95289],[-77.75548,19.85548],[-77.08511,20.41335],[-77.49265,20.67311],[-78.13729,20.73995],[-78.48283,21.02861],[-78.71987,21.59811],[-79.285,21.55918],[-80.21748,21.82732],[-80.51753,22.03708],[-81.82094,22.19206],[-82.16999,22.38711],[-81.795,22.63696],[-82.7759,22.68815],[-83.49446,22.16852],[-83.9088,22.15457],[-84.05215,21.91058],[-84.54703,21.80123],[-84.97491,21.89603],[-84.44706,22.20495],[-84.23036,22.56575],[-83.77824,22.78812],[-83.26755,22.98304],[-82.51044,23.07875],[-82.26815,23.18861]]],[[[-77.53466,23.75975],[-77.78,23.71],[-78.03405,24.28615],[-78.40848,24.57564],[-78.19087,25.2103],[-77.89,25.17],[-77.54,24.34],[-77.53466,23.75975]]],[[[-77.82,26.58],[-78.91,26.42],[-78.98,26.79],[-78.51,26.87],[-77.85,26.84],[-77.82,26.58]]],[[[-77,26.59],[-77.17255,25.87918],[-77.35641,26.00735],[-77.34,26.53],[-77.78802,26.92516],[-77.79,27.04],[-77,26.59]]]]},\"properties\":{\"name\":\"Florida\",\"nation\":\"USA \"}}]}","volume":"134","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Claunch, Natalie M.","contributorId":270298,"corporation":false,"usgs":false,"family":"Claunch","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":828960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodman, Colin","contributorId":270299,"corporation":false,"usgs":false,"family":"Goodman","given":"Colin","email":"","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":828961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":828962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guralnick, Robert P.","contributorId":146671,"corporation":false,"usgs":false,"family":"Guralnick","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":828963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":828964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Emily N.","contributorId":270300,"corporation":false,"usgs":false,"family":"Taylor","given":"Emily N.","affiliations":[{"id":56144,"text":"Cal Poly State U.","active":true,"usgs":false}],"preferred":false,"id":828965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223168,"text":"ofr20211057 - 2021 - Mineral resource inventory of North Dakota","interactions":[],"lastModifiedDate":"2022-04-22T19:10:32.976586","indexId":"ofr20211057","displayToPublicDate":"2021-08-13T11:51:46","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1057","displayTitle":"Mineral Resource Inventory of North Dakota","title":"Mineral resource inventory of North Dakota","docAbstract":"Aside from construction aggregate materials, the value of nonfuel mineral commodities that have been produced in North Dakota is small, although there is potential for the existence of several mineral resource deposit types which are not economically viable at this time. In this report, we present a mineral resource inventory of the State of North Dakota, developed by the U.S. Geological Survey at the request the Bureau of Land Management. To set the stage for that inventory, we briefly outline the long and complex geologic history of North Dakota that extends back more than 3 billion years. Using several existing databases, we summarize the distribution of known mineral commodities and the results of commodity exploration over time. Using all available data, we discuss the potential for economic occurrences of 13 commodities in North Dakota, including some listed as Critical Minerals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211057","collaboration":"Prepared in cooperation with Bureau of Land Management","usgsCitation":"Box, S.E., and Cossette, P.M., 2021, Mineral resource inventory of North Dakota: U.S. Geological Survey Open-File Report 2021–1057, 42 p., https://doi.org/10.3133/ofr20211057.","productDescription":"Report: vii, 42 p.; 4 Appendixes","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-116051","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399509,"rank":12,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94BA7RO","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset for mineral resource inventory of North Dakota"},{"id":387923,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.4.xlsx","text":"Appendix Table 1.4","size":"200 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":387922,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.4.csv","text":"Appendix Table 1.4","size":"300 KB","linkFileType":{"id":7,"text":"csv"}},{"id":387921,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.3.xlsx","text":"Appendix Table 1.3","size":"300 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":387920,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.3.csv","text":"Appendix Table 1.3","size":"400 KB","linkFileType":{"id":7,"text":"csv"}},{"id":387919,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.2.xlsx","text":"Appendix Table 1.2","size":"75 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":387917,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.1.xlsx","text":"Appendix Table 1.1","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":387913,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1057/covrthb.jpg"},{"id":387914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057.pdf","text":"Report","size":"25 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":387915,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_supplementalfiles.zip","text":"Appendix Tables 1.1 to 1.4","size":"626 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Zip file contains CSV and Microsoft Excel versions of Appendix Tables 1.1 to 1.4"},{"id":387916,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.1.csv","text":"Appendix Table 1.1","size":"15 KB","linkFileType":{"id":7,"text":"csv"}},{"id":387918,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2021/1057/ofr20211057_table1.2.csv","text":"Appendix Table 1.2","size":"155 KB","linkFileType":{"id":7,"text":"csv"}}],"country":"United States","state":"North Dakota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.724375,45.938686],[-100.720865,45.944024],[-104.045443,45.94531],[-104.046822,46.000199],[-104.045333,47.343452],[-104.041662,47.862282],[-104.048054,48.500025],[-104.048736,48.999877],[-102.216993,48.998553],[-97.229039,49.000687],[-97.231397,48.997212],[-97.230833,48.991303],[-97.238387,48.982631],[-97.238882,48.966573],[-97.23146,48.962437],[-97.232147,48.948955],[-97.227854,48.945864],[-97.224505,48.9341],[-97.217549,48.929892],[-97.219095,48.922078],[-97.217992,48.919735],[-97.211161,48.916649],[-97.212706,48.908143],[-97.210541,48.90439],[-97.197982,48.898332],[-97.199981,48.891086],[-97.197857,48.886838],[-97.197982,48.880341],[-97.186238,48.87347],[-97.187113,48.866098],[-97.180116,48.861601],[-97.179071,48.856866],[-97.175618,48.853105],[-97.177243,48.846483],[-97.173811,48.838309],[-97.181116,48.832741],[-97.180991,48.828992],[-97.177747,48.824815],[-97.180028,48.81845],[-97.177045,48.814124],[-97.164874,48.808253],[-97.165921,48.803792],[-97.162959,48.79293],[-97.157093,48.790024],[-97.157804,48.784104],[-97.154116,48.781891],[-97.155223,48.775499],[-97.147478,48.766033],[-97.151043,48.755707],[-97.139488,48.746611],[-97.139611,48.738129],[-97.134847,48.733324],[-97.135588,48.726403],[-97.126398,48.721101],[-97.116185,48.709348],[-97.119027,48.703292],[-97.118286,48.700573],[-97.108655,48.691484],[-97.097584,48.686298],[-97.100674,48.679624],[-97.100009,48.667926],[-97.102652,48.664793],[-97.100551,48.658614],[-97.111921,48.642918],[-97.108466,48.632658],[-97.111559,48.630266],[-97.125269,48.629694],[-97.124774,48.621537],[-97.130089,48.621166],[-97.131448,48.613998],[-97.137504,48.612268],[-97.138246,48.604234],[-97.143684,48.597066],[-97.141585,48.59082],[-97.142915,48.583733],[-97.14974,48.579516],[-97.149616,48.569876],[-97.158638,48.564067],[-97.158267,48.558753],[-97.153942,48.556034],[-97.152459,48.552326],[-97.160863,48.549236],[-97.16309,48.543964],[-97.148874,48.534282],[-97.153076,48.524148],[-97.148133,48.503384],[-97.146279,48.499677],[-97.138864,48.494362],[-97.139276,48.48631],[-97.144981,48.481571],[-97.141397,48.476256],[-97.143745,48.473661],[-97.144116,48.469212],[-97.141768,48.464021],[-97.132746,48.459942],[-97.133611,48.45228],[-97.137689,48.447583],[-97.137689,48.444247],[-97.134229,48.439797],[-97.13497,48.436337],[-97.139296,48.432011],[-97.1356,48.424369],[-97.142849,48.419471],[-97.142457,48.416727],[-97.138343,48.415944],[-97.1356,48.411829],[-97.135012,48.406735],[-97.145592,48.394195],[-97.145201,48.388904],[-97.140106,48.380479],[-97.142066,48.374209],[-97.147356,48.368723],[-97.147748,48.359905],[-97.143861,48.354503],[-97.137822,48.352003],[-97.137904,48.344585],[-97.131145,48.339722],[-97.134772,48.328677],[-97.127766,48.326781],[-97.127601,48.323319],[-97.13125,48.319543],[-97.131921,48.312728],[-97.126176,48.309147],[-97.126176,48.303701],[-97.122296,48.301388],[-97.12252,48.299299],[-97.128638,48.297657],[-97.128862,48.292882],[-97.12216,48.290056],[-97.11657,48.279661],[-97.12408,48.27125],[-97.131846,48.267589],[-97.127146,48.262889],[-97.129384,48.258785],[-97.127967,48.251474],[-97.138033,48.246236],[-97.138618,48.242429],[-97.135763,48.237596],[-97.141254,48.234668],[-97.139311,48.230187],[-97.136304,48.228984],[-97.138154,48.223104],[-97.135617,48.220904],[-97.135177,48.217243],[-97.137407,48.215245],[-97.134372,48.210434],[-97.134738,48.207506],[-97.138765,48.20465],[-97.138007,48.197587],[-97.146233,48.186054],[-97.141474,48.179099],[-97.146745,48.168556],[-97.144242,48.16249],[-97.138911,48.157793],[-97.142133,48.144981],[-97.131956,48.139563],[-97.132176,48.135829],[-97.129453,48.133133],[-97.128279,48.127185],[-97.120702,48.114987],[-97.123205,48.106648],[-97.11147,48.105913],[-97.108428,48.099824],[-97.10395,48.096184],[-97.105616,48.091362],[-97.099798,48.085884],[-97.099431,48.082106],[-97.104697,48.073094],[-97.097772,48.07108],[-97.086986,48.058222],[-97.075641,48.052725],[-97.072257,48.048068],[-97.068711,48.027694],[-97.072239,48.019107],[-97.069284,48.016176],[-97.063289,48.014989],[-97.066762,48.009558],[-97.064289,47.998508],[-97.053089,47.990252],[-97.059153,47.97538],[-97.057153,47.97048],[-97.061854,47.96448],[-97.052454,47.957179],[-97.055554,47.949079],[-97.054554,47.946279],[-97.044954,47.941079],[-97.036054,47.939379],[-97.037354,47.933279],[-97.035754,47.930179],[-97.017754,47.919778],[-97.018054,47.918078],[-97.023754,47.915878],[-97.017254,47.913078],[-97.015054,47.907178],[-97.017254,47.905678],[-97.024955,47.908178],[-97.020155,47.900478],[-97.023955,47.898078],[-97.024955,47.894978],[-97.018955,47.891078],[-97.024955,47.886878],[-97.025355,47.884278],[-97.017955,47.878478],[-97.023156,47.874978],[-97.021256,47.872578],[-97.002456,47.868677],[-97.001556,47.867377],[-97.005857,47.865277],[-96.998144,47.858882],[-96.996364,47.844398],[-96.998295,47.841724],[-96.992963,47.837911],[-96.986685,47.837639],[-96.981725,47.830421],[-96.982272,47.826668],[-96.979327,47.824533],[-96.980391,47.815662],[-96.977946,47.811619],[-96.980947,47.808337],[-96.980579,47.805614],[-96.975131,47.798326],[-96.966068,47.797297],[-96.95786,47.792021],[-96.957283,47.790147],[-96.963521,47.78729],[-96.965316,47.783474],[-96.956501,47.779798],[-96.956635,47.776188],[-96.949585,47.775228],[-96.939179,47.768397],[-96.936909,47.764536],[-96.937859,47.760195],[-96.932684,47.756804],[-96.934463,47.752956],[-96.929051,47.750331],[-96.928505,47.748037],[-96.932809,47.737139],[-96.919131,47.724731],[-96.923544,47.718201],[-96.920391,47.716527],[-96.920119,47.710383],[-96.9155,47.707968],[-96.915242,47.703527],[-96.907604,47.695119],[-96.909909,47.689522],[-96.907236,47.688493],[-96.902971,47.691576],[-96.900264,47.690775],[-96.896724,47.674758],[-96.891922,47.673157],[-96.885573,47.663443],[-96.887607,47.658853],[-96.88697,47.653049],[-96.882882,47.650168],[-96.882857,47.641714],[-96.888573,47.63845],[-96.882393,47.633489],[-96.879496,47.620576],[-96.870871,47.618042],[-96.874078,47.614774],[-96.860255,47.612175],[-96.855421,47.60875],[-96.856903,47.602329],[-96.852826,47.597891],[-96.854743,47.594728],[-96.851293,47.589264],[-96.853273,47.579483],[-96.856373,47.575749],[-96.853689,47.570381],[-96.858769,47.56741],[-96.857236,47.564055],[-96.859153,47.559741],[-96.853755,47.552497],[-96.856429,47.546957],[-96.854423,47.545333],[-96.856716,47.540271],[-96.85471,47.535973],[-96.866363,47.525944],[-96.863245,47.517266],[-96.854204,47.514368],[-96.851749,47.510088],[-96.853317,47.501322],[-96.851653,47.497098],[-96.85853,47.490889],[-96.855856,47.48831],[-96.85853,47.482484],[-96.85471,47.478281],[-96.859868,47.470926],[-96.856811,47.46319],[-96.859963,47.457363],[-96.858148,47.454498],[-96.859537,47.445662],[-96.85748,47.441603],[-96.861014,47.428995],[-96.858721,47.426129],[-96.864261,47.419539],[-96.861231,47.41781],[-96.86207,47.415159],[-96.858094,47.410317],[-96.853325,47.408889],[-96.852739,47.405909],[-96.84511,47.400483],[-96.845492,47.394179],[-96.840717,47.391314],[-96.841099,47.38415],[-96.845588,47.381571],[-96.846925,47.376891],[-96.853754,47.373405],[-96.848907,47.370565],[-96.852226,47.367291],[-96.848119,47.358026],[-96.843439,47.354397],[-96.845158,47.34943],[-96.844012,47.346182],[-96.835845,47.335914],[-96.83852,47.33238],[-96.835177,47.32856],[-96.835845,47.321014],[-96.841194,47.317575],[-96.842531,47.312418],[-96.835735,47.310843],[-96.832884,47.30449],[-96.843922,47.29302],[-96.844088,47.289981],[-96.84022,47.276981],[-96.8432,47.270486],[-96.838997,47.267716],[-96.842627,47.263991],[-96.840717,47.261221],[-96.840525,47.253866],[-96.834699,47.248135],[-96.838233,47.242882],[-96.832693,47.236196],[-96.837564,47.231802],[-96.835654,47.227217],[-96.838806,47.22502],[-96.838329,47.222059],[-96.835941,47.221009],[-96.836514,47.216137],[-96.833553,47.212794],[-96.835463,47.208401],[-96.83212,47.204866],[-96.83766,47.201141],[-96.838806,47.197894],[-96.83126,47.191781],[-96.831451,47.185572],[-96.826676,47.181561],[-96.829637,47.17497],[-96.825147,47.172295],[-96.824479,47.167042],[-96.822091,47.165036],[-96.824861,47.159783],[-96.822706,47.156229],[-96.83126,47.1509],[-96.830114,47.146793],[-96.832407,47.143736],[-96.827631,47.136572],[-96.828777,47.13151],[-96.824476,47.127188],[-96.827344,47.120144],[-96.821189,47.115723],[-96.822694,47.109622],[-96.817984,47.106007],[-96.81999,47.100849],[-96.818366,47.093304],[-96.820563,47.08977],[-96.819034,47.087573],[-96.82065,47.083619],[-96.819479,47.078181],[-96.823715,47.071717],[-96.823491,47.065911],[-96.821327,47.06293],[-96.824479,47.059682],[-96.819321,47.0529],[-96.820849,47.041438],[-96.818557,47.035516],[-96.821613,47.031505],[-96.817984,47.026538],[-96.829499,47.021537],[-96.833038,47.016029],[-96.834221,47.006671],[-96.82318,46.999965],[-96.824598,46.993309],[-96.819894,46.977357],[-96.821852,46.969372],[-96.809814,46.9639],[-96.802749,46.965933],[-96.79931,46.964118],[-96.799358,46.947355],[-96.791558,46.944464],[-96.790058,46.937664],[-96.791048,46.929876],[-96.78312,46.925482],[-96.775157,46.930863],[-96.763257,46.935063],[-96.760292,46.93341],[-96.762011,46.929303],[-96.759528,46.925769],[-96.761343,46.922234],[-96.759241,46.918223],[-96.762871,46.916886],[-96.765657,46.905063],[-96.770458,46.906763],[-96.776558,46.895663],[-96.773558,46.884763],[-96.767358,46.883663],[-96.768458,46.879563],[-96.771258,46.877463],[-96.781358,46.879363],[-96.779302,46.872699],[-96.782881,46.862585],[-96.781067,46.859146],[-96.782022,46.853415],[-96.777915,46.850741],[-96.780207,46.845392],[-96.779347,46.842144],[-96.783359,46.840807],[-96.785365,46.834025],[-96.789377,46.833166],[-96.787657,46.827817],[-96.791559,46.827864],[-96.80016,46.819664],[-96.799336,46.815436],[-96.802013,46.812464],[-96.801446,46.810401],[-96.796488,46.808709],[-96.796992,46.791572],[-96.791478,46.785694],[-96.792433,46.778913],[-96.788803,46.777575],[-96.788612,46.771271],[-96.784314,46.767546],[-96.785556,46.764394],[-96.783646,46.762579],[-96.787466,46.756753],[-96.783646,46.753123],[-96.784601,46.743094],[-96.781216,46.740944],[-96.784279,46.732993],[-96.779252,46.727429],[-96.779899,46.722915],[-96.784751,46.720495],[-96.786184,46.71284],[-96.791204,46.703747],[-96.787801,46.700446],[-96.787801,46.691181],[-96.784339,46.685054],[-96.788159,46.681879],[-96.788947,46.678382],[-96.792958,46.677427],[-96.792576,46.672173],[-96.798357,46.665314],[-96.798823,46.658071],[-96.796767,46.653363],[-96.790663,46.649112],[-96.789405,46.641639],[-96.791096,46.633155],[-96.784815,46.629439],[-96.783932,46.621598],[-96.779061,46.620834],[-96.778488,46.616153],[-96.774094,46.613288],[-96.775622,46.609276],[-96.772088,46.606315],[-96.772446,46.600129],[-96.766596,46.597957],[-96.762584,46.593946],[-96.76182,46.588501],[-96.756662,46.585827],[-96.756949,46.583534],[-96.752746,46.58277],[-96.752746,46.577517],[-96.746442,46.574078],[-96.744436,46.56596],[-96.74883,46.558127],[-96.744532,46.551346],[-96.746347,46.546283],[-96.742812,46.543609],[-96.745009,46.541698],[-96.742335,46.538546],[-96.744341,46.533006],[-96.738475,46.525793],[-96.736147,46.513478],[-96.738562,46.509366],[-96.735888,46.50631],[-96.737702,46.50077],[-96.733612,46.497224],[-96.737989,46.487875],[-96.735505,46.484914],[-96.735123,46.478897],[-96.726914,46.476432],[-96.726718,46.474121],[-96.720891,46.471446],[-96.720414,46.468008],[-96.715557,46.463232],[-96.715593,46.453867],[-96.718551,46.451913],[-96.716438,46.444567],[-96.718074,46.438255],[-96.709095,46.435294],[-96.706994,46.430231],[-96.701645,46.428607],[-96.701358,46.420584],[-96.69792,46.42068],[-96.696583,46.415617],[-96.688941,46.413134],[-96.688082,46.40788],[-96.680687,46.407383],[-96.669132,46.390037],[-96.669794,46.384644],[-96.667189,46.375458],[-96.658436,46.373391],[-96.655206,46.365964],[-96.646532,46.36251],[-96.647296,46.358499],[-96.644335,46.351908],[-96.629211,46.352654],[-96.628522,46.349569],[-96.62079,46.347607],[-96.618147,46.344295],[-96.619991,46.340135],[-96.608075,46.332576],[-96.599761,46.330386],[-96.60104,46.319554],[-96.598233,46.312563],[-96.60136,46.30413],[-96.598679,46.29775],[-96.600302,46.294407],[-96.596077,46.290536],[-96.598774,46.281417],[-96.595014,46.275135],[-96.599729,46.262123],[-96.594571,46.258302],[-96.594189,46.251712],[-96.590082,46.248655],[-96.598119,46.243112],[-96.59755,46.227733],[-96.59567,46.21985],[-96.591652,46.218183],[-96.583582,46.201047],[-96.587694,46.195262],[-96.587599,46.178928],[-96.584495,46.177123],[-96.582823,46.170905],[-96.57862,46.168135],[-96.579453,46.147601],[-96.56926,46.133686],[-96.571439,46.12572],[-96.563043,46.119512],[-96.562811,46.11625],[-96.56692,46.11475],[-96.557952,46.102442],[-96.556345,46.08688],[-96.554507,46.083978],[-96.558088,46.072096],[-96.556907,46.06483],[-96.559271,46.058272],[-96.566295,46.051416],[-96.57794,46.026874],[-96.574264,46.016545],[-96.575869,46.007999],[-96.573605,46.002309],[-96.57035,45.963595],[-96.561334,45.945655],[-96.56328,45.935238],[-97.784575,45.935327],[-98.724375,45.938686]]]},\"properties\":{\"name\":\"North Dakota\",\"nation\":\"USA \"}}]}","contact":"Director,
Geology, Minerals, Energy, & Geophysics Science Center
Menlo Park, California
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
Slags are important by-products generated by ferrous and non-ferrous pyrometallurgical operations, with hundreds of millions of tonnes generated globally each year. Depending on the chemical and mineralogical compositions of slags, they may be disposed of as waste, which can then weather and release contaminants into the environment with the potential to impact the ecosystem and humans. Alternately, slags can find use as raw materials with numerous applications in civil engineering or environmental technologies. Furthermore, residual metals, either those targeted for extraction or those that co-occur in the ore or furnace feed and partition into the slag, can be recovered for value. With the ultimate goal of a sustainable environment and a circular economy, the research on slags that is presented in this book will lead us to a better understanding of the environmental consequences of slag disposed of as waste and motivate us to find value in it.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Metallurgical slags: Environmental geochemistry and resource potential","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/9781839164576-00001","usgsCitation":"Piatak, N.M., and Ettler, V., 2021, Introduction: Metallurgical slags - Environmental liability or valuable resource?, chap. 1 of Metallurgical slags: Environmental geochemistry and resource potential, p. 1-13, https://doi.org/10.1039/9781839164576-00001.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-126010","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412622,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863139,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863140,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70240250,"text":"70240250 - 2021 - Weathering of slags","interactions":[],"lastModifiedDate":"2024-07-01T14:02:00.260587","indexId":"70240250","displayToPublicDate":"2021-08-13T09:55:30","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Weathering of slags","docAbstract":"Weathering is a natural process causing the transformation of minerals, rocks, and related materials like glass under near-surface conditions. Although metallurgical slags are human-made materials, they also undergo natural weathering processes. As base metal slags weather, the released solutions may contain contaminants that could pose an environmental risk. On the other hand, weathering of ferrous slags is important because of the common reuse of the slags. This chapter summarizes factors that affect rates of slag weathering as well as defining and characterizing the two stages of weathering (incipient and advanced) as they are observed in a wide variety of individual phases and slags. We conclude that slags weather at different scales and rates depending on their chemistry and phase composition as well as the external conditions. Furthermore, weathering of slags is a process that is not perfectly reflected by natural processes because these materials are complex (in terms of texture, composition, and disequilibrium with surficial conditions) and not always analogous to rocks. Therefore, some information in this chapter on weathering is applicable to all slag types, some is relevant to only specific slag types, and some aspects require additional study.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Metallurgical slags: Environmental geochemistry and resource potential","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/9781839164576-00125","usgsCitation":"Kierczak, J., Pietranik, A., and Piatak, N.M., 2021, Weathering of slags, chap. 4 of Metallurgical slags: Environmental geochemistry and resource potential, p. 125-150, https://doi.org/10.1039/9781839164576-00125.","productDescription":"26 p.","startPage":"125","endPage":"150","ipdsId":"IP-125489","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":412620,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863137,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ettler, Vojtech","contributorId":266017,"corporation":false,"usgs":false,"family":"Ettler","given":"Vojtech","affiliations":[{"id":54858,"text":"Charles University, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":863138,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Kierczak, Jakub","contributorId":297948,"corporation":false,"usgs":false,"family":"Kierczak","given":"Jakub","email":"","affiliations":[{"id":64462,"text":"University of Wroclaw","active":true,"usgs":false}],"preferred":false,"id":863085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietranik, Anna","contributorId":301931,"corporation":false,"usgs":false,"family":"Pietranik","given":"Anna","email":"","affiliations":[],"preferred":false,"id":863086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":863084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229243,"text":"70229243 - 2021 - Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management","interactions":[],"lastModifiedDate":"2022-03-03T15:47:30.658176","indexId":"70229243","displayToPublicDate":"2021-08-13T09:42:33","publicationYear":"2021","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":"Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management","docAbstract":"Our objective was to understand how social identity and values influenced general public and stakeholder trust in a state wildlife management agency (SWMA). In particular, we wanted to examine how stakeholder group, political ideology, and wildlife value orientation influenced trust in a SWMA. Data were derived from a study of state residents, hunters and livestock producers related to wolf management. Results suggest differences in agency trust correlated with all three factors and the interaction between stakeholder group and wildlife value orientation. Livestock producers reported lower levels of trust in the agency, compared to hunters and the general public. Individuals with conservative or middle-of-the-road ideologies reported less trust in the agency than individuals with a liberal ideology did. Respondents with traditional wildlife values also had less trust in the agency compared to mutualist, pluralist, and distanced respondents. Results suggested similarities in the ideologies and wildlife value orientations of livestock producers and hunters, although these groups differed significantly in their trust in the agency. Agencies face the challenge of managing common-pool, public-trust resources for stakeholders who hold different values and ideologies, and who are differentially affected by management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109285","usgsCitation":"Schroeder, S., Landon, A.C., Fulton, D.C., and McInenly, L., 2021, Social identity, values, and trust in government: How stakeholder group, ideology, and wildlife value orientations relate to trust in a state agency for wildlife management: Biological Conservation, v. 261, 109285, 7 p., https://doi.org/10.1016/j.biocon.2021.109285.","productDescription":"109285, 7 p.","ipdsId":"IP-124032","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.204691,46.704041],[-92.205192,46.698341],[-92.183091,46.695241],[-92.176091,46.686341],[-92.204092,46.666941],[-92.201592,46.656641],[-92.207092,46.651941],[-92.242493,46.649241],[-92.256592,46.658741],[-92.270592,46.650741],[-92.274392,46.657441],[-92.286192,46.660342],[-92.287392,46.667342],[-92.291292,46.668142],[-92.292192,46.663308],[-92.294033,46.074377],[-92.332912,46.062697],[-92.35176,46.015685],[-92.372717,46.014198],[-92.410649,46.027259],[-92.428555,46.024241],[-92.442259,46.016177],[-92.453373,45.992913],[-92.464512,45.985038],[-92.461138,45.980216],[-92.469354,45.973811],[-92.527052,45.983245],[-92.548459,45.969056],[-92.551186,45.95224],[-92.60246,45.940815],[-92.614314,45.934529],[-92.638824,45.934166],[-92.638474,45.925971],[-92.659549,45.922937],[-92.676167,45.912072],[-92.675737,45.907478],[-92.707702,45.894901],[-92.734039,45.868108],[-92.739278,45.84758],[-92.765146,45.830183],[-92.757815,45.806574],[-92.776496,45.790014],[-92.784621,45.764196],[-92.809837,45.744172],[-92.869193,45.717568],[-92.870025,45.697272],[-92.875488,45.689014],[-92.887929,45.639006],[-92.882529,45.610216],[-92.886442,45.598679],[-92.883749,45.575483],[-92.871082,45.567581],[-92.823309,45.560934],[-92.770223,45.566939],[-92.726082,45.541112],[-92.726677,45.514462],[-92.702224,45.493046],[-92.680234,45.464344],[-92.653549,45.455346],[-92.646602,45.441635],[-92.650422,45.398507],[-92.664102,45.393309],[-92.676961,45.380137],[-92.678223,45.373604],[-92.70272,45.358472],[-92.698967,45.336374],[-92.709968,45.321302],[-92.737122,45.300459],[-92.761013,45.289028],[-92.760615,45.278827],[-92.751659,45.26591],[-92.760249,45.2496],[-92.751708,45.218666],[-92.763908,45.204866],[-92.767408,45.190166],[-92.764872,45.182812],[-92.752404,45.173916],[-92.757707,45.155466],[-92.739584,45.115598],[-92.744938,45.108309],[-92.791528,45.079647],[-92.803079,45.060978],[-92.793282,45.047178],[-92.770362,45.033803],[-92.76206,45.02432],[-92.771231,45.001378],[-92.769445,44.97215],[-92.754603,44.955767],[-92.750645,44.937299],[-92.758701,44.908979],[-92.774571,44.898084],[-92.773946,44.889997],[-92.764133,44.875905],[-92.769102,44.862167],[-92.765278,44.837186],[-92.78043,44.812589],[-92.785206,44.792303],[-92.805287,44.768361],[-92.807988,44.75147],[-92.787906,44.737432],[-92.737259,44.717155],[-92.700948,44.693751],[-92.660988,44.660884],[-92.632105,44.649027],[-92.619779,44.634195],[-92.621456,44.615017],[-92.601516,44.612052],[-92.586216,44.600088],[-92.569434,44.603539],[-92.549777,44.58113],[-92.549957,44.568988],[-92.540551,44.567258],[-92.518358,44.575183],[-92.493808,44.566063],[-92.481001,44.568276],[-92.455105,44.561886],[-92.433256,44.5655],[-92.399281,44.558292],[-92.361518,44.558935],[-92.336114,44.554004],[-92.314071,44.538014],[-92.302466,44.516487],[-92.302215,44.500298],[-92.291005,44.485464],[-92.232472,44.445434],[-92.195378,44.433792],[-92.124513,44.422115],[-92.111085,44.413948],[-92.078605,44.404869],[-92.056486,44.402729],[-92.038147,44.388731],[-91.970266,44.365842],[-91.941311,44.340978],[-91.92559,44.333548],[-91.918625,44.322671],[-91.913534,44.311392],[-91.924613,44.291815],[-91.896388,44.27469],[-91.896008,44.262871],[-91.88704,44.251772],[-91.892698,44.231105],[-91.877429,44.212921],[-91.872369,44.199167],[-91.829167,44.17835],[-91.808064,44.159262],[-91.751747,44.134786],[-91.721552,44.130342],[-91.710597,44.12048],[-91.708207,44.105186],[-91.69531,44.09857],[-91.68153,44.0974],[-91.667006,44.086964],[-91.647873,44.064109],[-91.638115,44.063285],[-91.610487,44.04931],[-91.59207,44.031372],[-91.507121,44.01898],[-91.48087,44.008145],[-91.463515,44.009041],[-91.432522,43.996827],[-91.407395,43.965148],[-91.385785,43.954239],[-91.366642,43.937463],[-91.357426,43.917231],[-91.347741,43.911964],[-91.338141,43.897664],[-91.320605,43.888491],[-91.310991,43.867381],[-91.284138,43.847065],[-91.262436,43.792166],[-91.244135,43.774667],[-91.255431,43.744876],[-91.255932,43.729849],[-91.268455,43.709824],[-91.273252,43.666623],[-91.271749,43.654929],[-91.262397,43.64176],[-91.268748,43.615348],[-91.232707,43.583533],[-91.232812,43.564842],[-91.243214,43.550722],[-91.243183,43.540309],[-91.232941,43.523967],[-91.218292,43.514434],[-91.217706,43.50055],[-96.453049,43.500415],[-96.453067,45.298115],[-96.489065,45.357071],[-96.521787,45.375645],[-96.562142,45.38609],[-96.617726,45.408092],[-96.680454,45.410499],[-96.692541,45.417338],[-96.731396,45.45702],[-96.76528,45.521414],[-96.857751,45.605962],[-96.844211,45.639583],[-96.835769,45.649648],[-96.760866,45.687518],[-96.745086,45.701576],[-96.662595,45.738682],[-96.641941,45.759871],[-96.627778,45.786239],[-96.583085,45.820024],[-96.574517,45.843098],[-96.561334,45.945655],[-96.57035,45.963595],[-96.57794,46.026874],[-96.559271,46.058272],[-96.554507,46.083978],[-96.557952,46.102442],[-96.56692,46.11475],[-96.563043,46.119512],[-96.571439,46.12572],[-96.56926,46.133686],[-96.579453,46.147601],[-96.577952,46.165843],[-96.587408,46.178164],[-96.584372,46.204155],[-96.59755,46.227733],[-96.598645,46.241626],[-96.590942,46.250183],[-96.59887,46.26069],[-96.595014,46.275135],[-96.60136,46.30413],[-96.599761,46.330386],[-96.619991,46.340135],[-96.618147,46.344295],[-96.629211,46.352654],[-96.644335,46.351908],[-96.646341,46.360982],[-96.655206,46.365964],[-96.658436,46.373391],[-96.666028,46.374566],[-96.669132,46.390037],[-96.680687,46.407383],[-96.688082,46.40788],[-96.701358,46.420584],[-96.703078,46.429467],[-96.718074,46.438255],[-96.715557,46.463232],[-96.73627,46.48138],[-96.737798,46.489785],[-96.733612,46.497224],[-96.737702,46.50077],[-96.738475,46.525793],[-96.744341,46.533006],[-96.743003,46.54294],[-96.74883,46.558127],[-96.744436,46.56596],[-96.746442,46.574078],[-96.772446,46.600129],[-96.774094,46.613288],[-96.78995,46.631531],[-96.790663,46.649112],[-96.798823,46.658071],[-96.792958,46.677427],[-96.784339,46.685054],[-96.790906,46.70297],[-96.779252,46.727429],[-96.784279,46.732993],[-96.781216,46.740944],[-96.787466,46.756753],[-96.784314,46.766973],[-96.796195,46.789881],[-96.795756,46.807795],[-96.801446,46.810401],[-96.80016,46.819664],[-96.787657,46.827817],[-96.789663,46.832306],[-96.779347,46.843672],[-96.781358,46.879363],[-96.768458,46.879563],[-96.767358,46.883663],[-96.773558,46.884763],[-96.776558,46.895663],[-96.759241,46.918223],[-96.761757,46.934663],[-96.78312,46.925482],[-96.79038,46.929398],[-96.791558,46.944464],[-96.797734,46.9464],[-96.798737,46.962399],[-96.821852,46.969372],[-96.82318,46.999965],[-96.834221,47.006671],[-96.829499,47.021537],[-96.818557,47.02778],[-96.821422,47.032842],[-96.819321,47.0529],[-96.824479,47.059682],[-96.818175,47.104193],[-96.827344,47.120144],[-96.824807,47.124968],[-96.831547,47.142017],[-96.822377,47.162744],[-96.829637,47.17497],[-96.826962,47.182802],[-96.838806,47.197894],[-96.832789,47.203911],[-96.838806,47.22502],[-96.832946,47.237588],[-96.83766,47.240876],[-96.835368,47.250428],[-96.841672,47.258164],[-96.838997,47.267716],[-96.842531,47.269531],[-96.844088,47.289981],[-96.832884,47.30449],[-96.841958,47.316907],[-96.835845,47.321014],[-96.835845,47.335914],[-96.852417,47.366241],[-96.848907,47.370565],[-96.852676,47.374973],[-96.846925,47.376891],[-96.840621,47.389881],[-96.845492,47.394179],[-96.844919,47.399815],[-96.863593,47.418775],[-96.85748,47.440457],[-96.859868,47.470926],[-96.85471,47.478281],[-96.85853,47.489934],[-96.851653,47.497098],[-96.851367,47.509037],[-96.866363,47.524893],[-96.85471,47.535973],[-96.859153,47.566355],[-96.853689,47.570381],[-96.856373,47.575749],[-96.851293,47.589264],[-96.856903,47.602329],[-96.855421,47.60875],[-96.873671,47.613654],[-96.871005,47.616832],[-96.879496,47.620576],[-96.882393,47.633489],[-96.888573,47.63845],[-96.882376,47.649025],[-96.88697,47.653049],[-96.887126,47.666369],[-96.895271,47.67357],[-96.899352,47.689473],[-96.908928,47.688722],[-96.907266,47.693976],[-96.920119,47.710383],[-96.923544,47.718201],[-96.919471,47.722515],[-96.932809,47.737139],[-96.928505,47.748037],[-96.934173,47.752412],[-96.939179,47.768397],[-96.9644,47.782995],[-96.957283,47.790147],[-96.966068,47.797297],[-96.975131,47.798326],[-96.980579,47.805614],[-96.979327,47.824533],[-96.986685,47.837639],[-96.998295,47.841724],[-96.998144,47.858882],[-97.005557,47.863977],[-97.002456,47.868677],[-97.023156,47.874978],[-97.019355,47.880278],[-97.024955,47.886878],[-97.019155,47.889778],[-97.024955,47.894978],[-97.020155,47.900478],[-97.024955,47.908178],[-97.017254,47.905678],[-97.015354,47.910278],[-97.023754,47.915878],[-97.018054,47.918078],[-97.035754,47.930179],[-97.036054,47.939379],[-97.054554,47.946279],[-97.052454,47.957179],[-97.061454,47.96358],[-97.053553,47.991612],[-97.064289,47.998508],[-97.066762,48.009558],[-97.063012,48.013179],[-97.072239,48.019107],[-97.068987,48.026267],[-97.072257,48.048068],[-97.097772,48.07108],[-97.103052,48.071669],[-97.099431,48.082106],[-97.105226,48.09044],[-97.104872,48.097851],[-97.109535,48.104723],[-97.123205,48.106648],[-97.120702,48.114987],[-97.131956,48.139563],[-97.141401,48.14359],[-97.138911,48.157793],[-97.146745,48.168556],[-97.141474,48.179099],[-97.146233,48.186054],[-97.134372,48.210434],[-97.136304,48.228984],[-97.141254,48.234668],[-97.135763,48.237596],[-97.138765,48.244991],[-97.127276,48.253323],[-97.131846,48.267589],[-97.11657,48.279661],[-97.12216,48.290056],[-97.128862,48.292882],[-97.122072,48.300865],[-97.132443,48.315489],[-97.127601,48.323319],[-97.134854,48.331314],[-97.131145,48.339722],[-97.147748,48.359905],[-97.140106,48.380479],[-97.145592,48.394195],[-97.135012,48.406735],[-97.142849,48.419471],[-97.1356,48.424369],[-97.139173,48.430528],[-97.134229,48.439797],[-97.137689,48.447583],[-97.132746,48.459942],[-97.144116,48.469212],[-97.141397,48.476256],[-97.144981,48.481571],[-97.140291,48.484722],[-97.138864,48.494362],[-97.148133,48.503384],[-97.153076,48.524148],[-97.150481,48.536877],[-97.163105,48.543855],[-97.160863,48.549236],[-97.152459,48.552326],[-97.158638,48.564067],[-97.149616,48.569876],[-97.14974,48.579516],[-97.142915,48.583733],[-97.143684,48.597066],[-97.137504,48.612268],[-97.132931,48.61338],[-97.130089,48.621166],[-97.125639,48.620919],[-97.125269,48.629694],[-97.108466,48.632658],[-97.111921,48.642918],[-97.100551,48.658614],[-97.102652,48.664793],[-97.097708,48.68395],[-97.118286,48.700573],[-97.116185,48.709348],[-97.136083,48.727763],[-97.139488,48.746611],[-97.151289,48.757428],[-97.147478,48.763698],[-97.154854,48.774515],[-97.157093,48.790024],[-97.163535,48.79507],[-97.165624,48.809627],[-97.180028,48.81845],[-97.177747,48.824815],[-97.181116,48.832741],[-97.173811,48.838309],[-97.175618,48.853105],[-97.187362,48.867598],[-97.185738,48.87222],[-97.197982,48.880341],[-97.197982,48.898332],[-97.210541,48.90439],[-97.211161,48.916649],[-97.217992,48.919735],[-97.218666,48.931781],[-97.224505,48.9341],[-97.232147,48.948955],[-97.230859,48.960891],[-97.239209,48.968684],[-97.237297,48.985696],[-97.230833,48.991303],[-97.229039,49.000687],[-95.153711,48.998903],[-95.15335,49.383079],[-95.126467,49.369439],[-95.058404,49.35317],[-95.014415,49.356405],[-94.988908,49.368897],[-94.957465,49.370186],[-94.854245,49.324154],[-94.816222,49.320987],[-94.824291,49.308834],[-94.82516,49.294283],[-94.797244,49.214284],[-94.797527,49.197791],[-94.773223,49.120733],[-94.750221,49.099763],[-94.750218,48.999992],[-94.718932,48.999991],[-94.683069,48.883929],[-94.684217,48.872399],[-94.692527,48.86895],[-94.693044,48.853392],[-94.685681,48.840119],[-94.701968,48.831778],[-94.704284,48.824284],[-94.694974,48.809206],[-94.694312,48.789352],[-94.690889,48.778066],[-94.651765,48.755913],[-94.645164,48.749975],[-94.645083,48.744143],[-94.61901,48.737374],[-94.58715,48.717599],[-94.549069,48.714653],[-94.533057,48.701262],[-94.452332,48.692444],[-94.438701,48.694889],[-94.416191,48.710948],[-94.384221,48.711806],[-94.342758,48.703382],[-94.308446,48.710239],[-94.290737,48.707747],[-94.260541,48.696381],[-94.251169,48.683514],[-94.254643,48.663888],[-94.250497,48.656654],[-94.224276,48.649527],[-94.091244,48.643669],[-94.065775,48.646104],[-94.035616,48.641018],[-94.006933,48.643193],[-93.944221,48.632294],[-93.91153,48.634673],[-93.840754,48.628548],[-93.824144,48.610724],[-93.806763,48.577616],[-93.811201,48.542385],[-93.818253,48.530046],[-93.794454,48.516021],[-93.656652,48.515731],[-93.643091,48.518294],[-93.628865,48.53121],[-93.612844,48.521876],[-93.60587,48.522472],[-93.594379,48.528793],[-93.547191,48.528684],[-93.467504,48.545664],[-93.460798,48.550552],[-93.456675,48.561834],[-93.465199,48.590659],[-93.438494,48.59338],[-93.405269,48.609344],[-93.395022,48.603303],[-93.371156,48.605085],[-93.362132,48.613832],[-93.35324,48.613378],[-93.349095,48.624935],[-93.254854,48.642784],[-93.207398,48.642474],[-93.178095,48.623339],[-93.088438,48.627597],[-92.984963,48.623731],[-92.954876,48.631493],[-92.95012,48.630419],[-92.949839,48.608269],[-92.929614,48.606874],[-92.909947,48.596313],[-92.894687,48.594915],[-92.728046,48.53929],[-92.657881,48.546263],[-92.634931,48.542873],[-92.625739,48.518189],[-92.631117,48.508252],[-92.627237,48.503383],[-92.636696,48.499428],[-92.654039,48.501635],[-92.661418,48.496557],[-92.698824,48.494892],[-92.712562,48.463013],[-92.687998,48.443889],[-92.656027,48.436709],[-92.507285,48.447875],[-92.475585,48.418793],[-92.456325,48.414204],[-92.456389,48.401134],[-92.47675,48.37176],[-92.469948,48.351836],[-92.437825,48.309839],[-92.416285,48.295463],[-92.369174,48.220268],[-92.336831,48.235383],[-92.269742,48.248241],[-92.273706,48.256747],[-92.294541,48.27156],[-92.292999,48.276404],[-92.301451,48.288608],[-92.294527,48.306454],[-92.306309,48.316442],[-92.304561,48.322977],[-92.295412,48.323957],[-92.288994,48.342991],[-92.26228,48.354933],[-92.222813,48.349203],[-92.216983,48.345114],[-92.206803,48.345596],[-92.203684,48.352063],[-92.178418,48.351881],[-92.177354,48.357228],[-92.145049,48.365651],[-92.143583,48.356121],[-92.083513,48.353865],[-92.077961,48.358253],[-92.055228,48.359213],[-92.045734,48.347901],[-92.046562,48.33474],[-92.037721,48.333183],[-92.030872,48.325824],[-92.000133,48.321355],[-92.01298,48.297391],[-92.006577,48.265421],[-91.989545,48.260214],[-91.976903,48.244626],[-91.971056,48.247667],[-91.971779,48.252977],[-91.954432,48.251678],[-91.952209,48.244394],[-91.957683,48.242683],[-91.957798,48.232989],[-91.941838,48.230602],[-91.915772,48.238871],[-91.89347,48.237699],[-91.884691,48.227321],[-91.867882,48.219095],[-91.864382,48.207031],[-91.815772,48.211748],[-91.809038,48.206013],[-91.79181,48.202492],[-91.789011,48.196549],[-91.756637,48.205022],[-91.749075,48.198844],[-91.741932,48.199122],[-91.742313,48.204491],[-91.714931,48.19913],[-91.711611,48.1891],[-91.721413,48.180255],[-91.724584,48.170657],[-91.705318,48.170775],[-91.70726,48.153661],[-91.698174,48.141643],[-91.699981,48.13184],[-91.712226,48.116883],[-91.703524,48.113548],[-91.682845,48.122118],[-91.687623,48.111698],[-91.676876,48.107264],[-91.665208,48.107011],[-91.653261,48.114137],[-91.653571,48.109567],[-91.640175,48.096926],[-91.559272,48.108268],[-91.552962,48.103012],[-91.569746,48.093348],[-91.575471,48.066294],[-91.575672,48.048791],[-91.567254,48.043719],[-91.488646,48.068065],[-91.45033,48.068806],[-91.437582,48.049248],[-91.429642,48.048608],[-91.391128,48.057075],[-91.370872,48.06941],[-91.365143,48.066968],[-91.340159,48.073236],[-91.332589,48.069331],[-91.26638,48.078713],[-91.214428,48.10294],[-91.190461,48.124891],[-91.183207,48.122235],[-91.176181,48.125811],[-91.137733,48.14915],[-91.139402,48.154738],[-91.092258,48.173101],[-91.082731,48.180756],[-91.024208,48.190072],[-90.976955,48.219452],[-90.914971,48.230603],[-90.88548,48.245784],[-90.875107,48.237784],[-90.847352,48.244443],[-90.839176,48.239511],[-90.836313,48.176963],[-90.832589,48.173765],[-90.821115,48.184709],[-90.817698,48.179569],[-90.804207,48.177833],[-90.796596,48.159373],[-90.777917,48.163801],[-90.778031,48.148723],[-90.79797,48.136894],[-90.787305,48.134196],[-90.789919,48.129902],[-90.76911,48.116585],[-90.761555,48.100133],[-90.751608,48.090968],[-90.641596,48.103515],[-90.626886,48.111846],[-90.59146,48.117546],[-90.582217,48.123784],[-90.55929,48.121683],[-90.555845,48.117069],[-90.569763,48.106951],[-90.567482,48.101178],[-90.556838,48.096008],[-90.487077,48.099082],[-90.467712,48.108818],[-90.438449,48.098747],[-90.403219,48.105114],[-90.374542,48.090942],[-90.367658,48.094577],[-90.344234,48.094447],[-90.330052,48.102399],[-90.312386,48.1053],[-90.289337,48.098993],[-90.224692,48.108148],[-90.188679,48.107947],[-90.176605,48.112445],[-90.136191,48.112136],[-90.116259,48.104303],[-90.073873,48.101138],[-90.023595,48.084708],[-90.015057,48.067188],[-90.008446,48.068396],[-89.997852,48.057567],[-89.99305,48.028404],[-89.97718,48.023501],[-89.968255,48.014482],[-89.954605,48.011516],[-89.95059,48.015901],[-89.934489,48.015628],[-89.915341,47.994866],[-89.897414,47.987599],[-89.873286,47.985419],[-89.868153,47.989898],[-89.847571,47.992442],[-89.842568,48.001368],[-89.830385,48.000284],[-89.820483,48.014665],[-89.797744,48.014505],[-89.763967,48.022969],[-89.724048,48.018996],[-89.721038,48.017965],[-89.724044,48.013675],[-89.716114,48.016441],[-89.716417,48.010251],[-89.702528,48.006325],[-89.673798,48.01151],[-89.667128,48.007421],[-89.657051,48.009954],[-89.649057,48.003853],[-89.617867,48.010947],[-89.611678,48.017529],[-89.607821,48.006566],[-89.594749,48.004332],[-89.582117,47.996314],[-89.564288,48.00293],[-89.489226,48.014528],[-89.495344,48.002356],[-89.541521,47.992841],[-89.551555,47.987305],[-89.555015,47.974849],[-89.572315,47.967238],[-89.58823,47.9662],[-89.611412,47.980731],[-89.624559,47.983153],[-89.631825,47.980039],[-89.640129,47.96793],[-89.638285,47.954275],[-89.697619,47.941288],[-89.793539,47.891358],[-89.85396,47.873997],[-89.87158,47.874194],[-89.923649,47.862062],[-89.930844,47.857723],[-89.92752,47.850825],[-89.933899,47.84676],[-89.974296,47.830514],[-90.072025,47.811105],[-90.075559,47.803303],[-90.1168,47.79538],[-90.16079,47.792807],[-90.178755,47.786414],[-90.187636,47.77813],[-90.248794,47.772763],[-90.323446,47.753771],[-90.332686,47.746387],[-90.437712,47.731612],[-90.441912,47.726404],[-90.458365,47.7214],[-90.537105,47.703055],[-90.551291,47.690266],[-90.735927,47.624343],[-90.86827,47.5569],[-90.907494,47.532873],[-90.914247,47.522639],[-90.939072,47.514532],[-91.032945,47.458236],[-91.045646,47.456525],[-91.097569,47.413888],[-91.128131,47.399619],[-91.146958,47.381464],[-91.156513,47.378816],[-91.188772,47.340082],[-91.238658,47.304976],[-91.262512,47.27929],[-91.288478,47.26596],[-91.326019,47.238993],[-91.357803,47.206743],[-91.418805,47.172152],[-91.477351,47.125667],[-91.497902,47.122579],[-91.518793,47.108121],[-91.573817,47.089917],[-91.591508,47.068684],[-91.626824,47.049953],[-91.644564,47.026491],[-91.666477,47.014297],[-91.704649,47.005246],[-91.780675,46.945881],[-91.806851,46.933727],[-91.841349,46.925215],[-91.883238,46.905728],[-91.914984,46.883836],[-91.952985,46.867037],[-92.094089,46.787839],[-92.088289,46.773639],[-92.06449,46.745439],[-92.025789,46.710839],[-92.01529,46.706469],[-92.020289,46.704039],[-92.03399,46.708939],[-92.08949,46.74924],[-92.10819,46.74914],[-92.13789,46.73954],[-92.14329,46.73464],[-92.141291,46.72524],[-92.146291,46.71594],[-92.167291,46.719941],[-92.189091,46.717541],[-92.204691,46.704041]]]},\"properties\":{\"name\":\"Minnesota\",\"nation\":\"USA \"}}]}","volume":"261","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":287692,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":837032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Adam C.","contributorId":287693,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":837033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McInenly, Leslie","contributorId":287694,"corporation":false,"usgs":false,"family":"McInenly","given":"Leslie","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":837034,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227641,"text":"70227641 - 2021 - Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","interactions":[],"lastModifiedDate":"2022-01-24T15:02:28.871949","indexId":"70227641","displayToPublicDate":"2021-08-13T08:59:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":680,"text":"Agricultural Water Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data","docAbstract":"Kansas is one of the most productive agricultural states in the United States, where agricultural irrigation is a primary user of underground and surface water. Because of low precipitation and declining groundwater levels in western and central Kansas, sustainable management of irrigation water resources is a critical issue in the agricultural productivity of the state. The objective of this study is to analyze and characterize the water use and water balance in the croplands of Kansas using satellite observations, meteorological data, and in situ irrigation water use records. We used actual evapotranspiration (ETa), precipitation, soil moisture, and irrigation water use to calculate water balance for Kansas in 2015 at scales of counties, climatic divisions, and groundwater management districts (GMD). The Operational Simplified Surface Energy Balance model was implemented to estimate 30-m resolution ETa. Results showed that the seasonal (May – September) precipitation, soil water storage change, and ETa are 528 mm, 80 mm, and 555 mm, respectively, on average of all croplands in the state. The annual net irrigation water consumption was 293 mm for irrigated croplands, indicating that irrigation water constitutes an substantial portion of the water supply in the state. The total volumetric irrigation water use was 3.24 km3 for all croplands within five GMDs in western and south-central Kansas, while only 0.38 km3 was outside of GMDs. The multiple regression models of ETa against precipitation and irrigation water use were statistically significant with R2 values of 0.71 and 0.87, respectively, at county and climate division scales. Regression models also indicated a higher rate of ETa response to irrigation water use than that to precipitation. Our study demonstrated the spatial patterns of crop water use and water balance in Kansas, which could provide useful information for management of irrigation agriculture and water resources for the state.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agwat.2021.107106","usgsCitation":"Ji, L., Senay, G.B., Friedrichs, M., Schauer, M., and Boiko, O., 2021, Characterization of water use and water balance for the croplands of Kansas using satellite, climate, and irrigation data: Agricultural Water Management, v. 256, 107106, 16 p., https://doi.org/10.1016/j.agwat.2021.107106.","productDescription":"107106, 16 p.","ipdsId":"IP-126709","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":451184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agwat.2021.107106","text":"Publisher Index Page"},{"id":394759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.541116,36.999573],[-99.648652,36.999604],[-99.657658,37.000197],[-99.875409,37.001659],[-99.995201,37.001631],[-100.115722,37.002206],[-100.193754,37.002133],[-100.552683,37.000735],[-100.734517,36.999059],[-100.756894,36.999357],[-100.855634,36.998626],[-100.904274,36.998745],[-100.945469,36.998153],[-101.012641,36.998176],[-101.359674,36.996232],[-102.04224,36.993083],[-102.041749,37.034397],[-102.041809,37.111973],[-102.042092,37.125021],[-102.041963,37.258164],[-102.041664,37.29765],[-102.042089,37.352819],[-102.041524,37.375018],[-102.042016,37.535261],[-102.041574,37.680436],[-102.042158,37.760164],[-102.042953,37.803535],[-102.044644,38.045532],[-102.044255,38.113011],[-102.044589,38.125013],[-102.044251,38.141778],[-102.044944,38.384419],[-102.044442,38.415802],[-102.044936,38.41968],[-102.045324,38.453647],[-102.045074,38.669617],[-102.045334,38.799463],[-102.046571,39.047038],[-102.04937,39.41821],[-102.049554,39.538932],[-102.050422,39.646048],[-102.050099,39.653812],[-102.050594,39.675594],[-102.051569,39.849805],[-102.051744,40.003078],[-101.904176,40.003162],[-101.841025,40.002784],[-101.409953,40.002354],[-101.324036,40.002696],[-100.937427,40.002145],[-100.75883,40.002302],[-100.66023,40.002162],[-100.645445,40.001883],[-100.196959,40.001494],[-99.990926,40.001503],[-99.948167,40.001813],[-99.930433,40.001516],[-99.813401,40.0014],[-99.772121,40.001804],[-99.756835,40.001342],[-99.746628,40.00182],[-99.49766,40.001912],[-99.423565,40.00227],[-99.412645,40.001868],[-99.282967,40.001879],[-99.018701,40.002333],[-98.710404,40.00218],[-98.690287,40.002548],[-98.652494,40.002245],[-98.64071,40.002493],[-98.560578,40.002274],[-98.274017,40.002516],[-98.250008,40.002307],[-98.193483,40.002614],[-98.099659,40.002227],[-97.838379,40.00191],[-97.777155,40.002167],[-97.510264,40.001835],[-97.369199,40.00206],[-97.20231,40.001442],[-97.142448,40.001495],[-97.137866,40.001814],[-97.049663,40.001323],[-96.916093,40.001506],[-96.622401,40.001158],[-96.610349,40.000881],[-96.467536,40.001035],[-96.125937,40.000432],[-96.02409,40.000719],[-95.30829,39.999998],[-95.308404,39.993758],[-95.30778,39.990618],[-95.307111,39.989114],[-95.302507,39.984357],[-95.289715,39.977706],[-95.274757,39.972115],[-95.269886,39.969396],[-95.261854,39.960618],[-95.257652,39.954886],[-95.250254,39.948644],[-95.241383,39.944949],[-95.236761,39.943931],[-95.231114,39.943784],[-95.220212,39.944433],[-95.21644,39.943953],[-95.213737,39.943206],[-95.204428,39.938949],[-95.201277,39.934194],[-95.20069,39.928155],[-95.20201,39.922438],[-95.205745,39.915169],[-95.206326,39.912121],[-95.206196,39.909557],[-95.205733,39.908275],[-95.201935,39.904053],[-95.199347,39.902709],[-95.193816,39.90069],[-95.189565,39.899959],[-95.179453,39.900062],[-95.172296,39.902026],[-95.159834,39.906984],[-95.156024,39.907243],[-95.149657,39.905948],[-95.146055,39.904183],[-95.143802,39.901918],[-95.142563,39.897992],[-95.142445,39.89542],[-95.143403,39.889356],[-95.142718,39.885889],[-95.140601,39.881688],[-95.137092,39.878351],[-95.134747,39.876852],[-95.128166,39.874165],[-95.105912,39.869164],[-95.090158,39.86314],[-95.085003,39.861883],[-95.081534,39.861718],[-95.052535,39.864374],[-95.042142,39.864805],[-95.037767,39.865542],[-95.032053,39.868337],[-95.027931,39.871522],[-95.025422,39.876711],[-95.025119,39.878833],[-95.025947,39.886747],[-95.02524,39.8897],[-95.024389,39.891202],[-95.018743,39.897372],[-95.013152,39.899953],[-95.00844,39.900596],[-95.003819,39.900401],[-94.990284,39.89701],[-94.986975,39.89667],[-94.977749,39.897472],[-94.963345,39.901136],[-94.959276,39.901671],[-94.95154,39.900533],[-94.943867,39.89813],[-94.934493,39.893366],[-94.929574,39.888754],[-94.927897,39.886112],[-94.927359,39.883966],[-94.927252,39.880258],[-94.928466,39.876344],[-94.931463,39.872602],[-94.938791,39.866954],[-94.940743,39.86441],[-94.942407,39.861066],[-94.942567,39.856602],[-94.939767,39.85193],[-94.937655,39.849786],[-94.92615,39.841322],[-94.916918,39.836138],[-94.909942,39.834426],[-94.903157,39.83385],[-94.892677,39.834378],[-94.889493,39.834026],[-94.886933,39.833098],[-94.881013,39.828922],[-94.878677,39.826522],[-94.877044,39.823754],[-94.876544,39.820594],[-94.875944,39.813294],[-94.876344,39.806894],[-94.880932,39.797338],[-94.884084,39.794234],[-94.890292,39.791626],[-94.892965,39.791098],[-94.925605,39.789754],[-94.929654,39.788282],[-94.932726,39.786282],[-94.935206,39.78313],[-94.935782,39.778906],[-94.935302,39.77561],[-94.934262,39.773642],[-94.929653,39.769098],[-94.926229,39.76649],[-94.916789,39.760938],[-94.912293,39.759338],[-94.906244,39.759418],[-94.899156,39.761258],[-94.895268,39.76321],[-94.883924,39.770186],[-94.88146,39.771258],[-94.871144,39.772994],[-94.869644,39.772894],[-94.867143,39.771694],[-94.865243,39.770094],[-94.863143,39.767294],[-94.860743,39.763094],[-94.859443,39.753694],[-94.860371,39.74953],[-94.862943,39.742994],[-94.870143,39.734594],[-94.875643,39.730494],[-94.884143,39.726794],[-94.891744,39.724894],[-94.899316,39.724042],[-94.902612,39.724202],[-94.910068,39.725786],[-94.918324,39.728794],[-94.930005,39.73537],[-94.939221,39.741578],[-94.944741,39.744377],[-94.948726,39.745593],[-94.95263,39.745961],[-94.955286,39.745689],[-94.960086,39.743065],[-94.965318,39.739065],[-94.970422,39.732121],[-94.971206,39.729305],[-94.971078,39.723146],[-94.968453,39.707402],[-94.968981,39.692954],[-94.969909,39.68905],[-94.971317,39.68641],[-94.976325,39.68137],[-94.981557,39.678634],[-94.984149,39.67785],[-94.993557,39.67657],[-95.001379,39.676479],[-95.009023,39.675765],[-95.01531,39.674262],[-95.018318,39.672869],[-95.024595,39.668485],[-95.027644,39.665454],[-95.037464,39.652905],[-95.039049,39.649639],[-95.044554,39.64437],[-95.049518,39.637876],[-95.053367,39.630347],[-95.054925,39.624995],[-95.055152,39.621657],[-95.053012,39.613965],[-95.047911,39.606288],[-95.046445,39.601606],[-95.046361,39.599557],[-95.047165,39.595117],[-95.049277,39.589583],[-95.054804,39.582488],[-95.056897,39.580567],[-95.059519,39.579132],[-95.064519,39.577115],[-95.069315,39.576218],[-95.07216,39.576122],[-95.076688,39.576764],[-95.089515,39.581028],[-95.095736,39.580618],[-95.099095,39.579691],[-95.103228,39.577783],[-95.106406,39.575252],[-95.107454,39.573843],[-95.113077,39.559133],[-95.113557,39.553941],[-95.109304,39.542285],[-95.106596,39.537657],[-95.102888,39.533347],[-95.092704,39.524241],[-95.082714,39.516712],[-95.077441,39.513552],[-95.059461,39.506143],[-95.05638,39.503972],[-95.052177,39.499996],[-95.050552,39.497514],[-95.049845,39.494415],[-95.04837,39.48042],[-95.047133,39.474971],[-95.045716,39.472459],[-95.04078,39.466387],[-95.0375,39.463689],[-95.033408,39.460876],[-95.028498,39.458287],[-95.015825,39.452809],[-94.995768,39.448174],[-94.990172,39.446192],[-94.982144,39.440552],[-94.978798,39.436241],[-94.976606,39.426701],[-94.972952,39.421705],[-94.966066,39.417288],[-94.954817,39.413844],[-94.951209,39.411707],[-94.947864,39.408604],[-94.946293,39.405646],[-94.946662,39.399717],[-94.946227,39.395648],[-94.945577,39.393851],[-94.942039,39.389499],[-94.937158,39.386531],[-94.933652,39.385546],[-94.92311,39.384492],[-94.919225,39.385174],[-94.915859,39.386348],[-94.909581,39.388865],[-94.901823,39.392798],[-94.894979,39.393565],[-94.891845,39.393313],[-94.888972,39.392432],[-94.885026,39.389801],[-94.880979,39.383899],[-94.879281,39.37978],[-94.879088,39.375703],[-94.88136,39.370383],[-94.885216,39.366911],[-94.890928,39.364031],[-94.896832,39.363135],[-94.899024,39.362431],[-94.902497,39.360383],[-94.907297,39.356735],[-94.909409,39.354255],[-94.910017,39.352543],[-94.910641,39.348335],[-94.908065,39.323663],[-94.905329,39.311952],[-94.903137,39.306272],[-94.900049,39.300192],[-94.895217,39.294208],[-94.887056,39.28648],[-94.882576,39.283328],[-94.87832,39.281136],[-94.867568,39.277841],[-94.857072,39.273825],[-94.84632,39.268481],[-94.837855,39.262417],[-94.831471,39.256273],[-94.827487,39.249889],[-94.825663,39.241729],[-94.826111,39.238289],[-94.827791,39.234001],[-94.834896,39.223842],[-94.835056,39.220658],[-94.833552,39.217794],[-94.831679,39.215938],[-94.823791,39.209874],[-94.820687,39.208626],[-94.811663,39.206594],[-94.799663,39.206018],[-94.787343,39.207666],[-94.783838,39.207154],[-94.781518,39.206146],[-94.777838,39.203522],[-94.775543,39.200609],[-94.770338,39.190002],[-94.763138,39.179903],[-94.752338,39.173203],[-94.741938,39.170203],[-94.736537,39.169203],[-94.723637,39.169003],[-94.714137,39.170403],[-94.696332,39.178563],[-94.687236,39.183503],[-94.680336,39.184303],[-94.669135,39.182003],[-94.663835,39.179103],[-94.660315,39.168051],[-94.662435,39.157603],[-94.650735,39.154103],[-94.640035,39.153103],[-94.623934,39.156603],[-94.615834,39.160003],[-94.608834,39.160503],[-94.601733,39.159603],[-94.596033,39.157703],[-94.591933,39.155003],[-94.589933,39.140403],[-94.592533,39.135903],[-94.600434,39.128503],[-94.605734,39.122204],[-94.607034,39.119404],[-94.607354,39.113444],[-94.607234,39.065704],[-94.608334,38.981806],[-94.608134,38.940006],[-94.607866,38.937398],[-94.608033,38.847207],[-94.607625,38.82756],[-94.611602,38.635384],[-94.611465,38.625011],[-94.611858,38.620485],[-94.611887,38.580139],[-94.612176,38.576546],[-94.612157,38.549817],[-94.613365,38.403422],[-94.613312,38.364407],[-94.612673,38.314832],[-94.612658,38.217649],[-94.613856,38.149769],[-94.614212,37.992462],[-94.614465,37.987799],[-94.614612,37.944362],[-94.617721,37.77297],[-94.617975,37.722176],[-94.617651,37.687671],[-94.617885,37.682214],[-94.616789,37.52151],[-94.618505,37.181184],[-94.617875,37.056798],[-94.61808,36.998135],[-94.625224,36.998672],[-94.83128,36.998812],[-95.049499,36.99958],[-95.80798,36.999124],[-95.91018,36.999336],[-96.00081,36.99886],[-96.394272,36.999221],[-96.500288,36.998643],[-96.73659,36.999286],[-96.749838,36.998988],[-96.79206,36.99918],[-96.795199,36.99886],[-96.822791,36.999182],[-96.87629,36.999233],[-97.46228,36.998685],[-97.606549,36.998682],[-97.637137,36.99909],[-98.219499,36.997824],[-98.354073,36.997961],[-98.408991,36.998513],[-98.544872,36.998997],[-98.714512,36.99906],[-98.761597,36.999425],[-98.880009,36.999263],[-99.029337,36.999595],[-99.049695,36.999221],[-99.277506,36.999579],[-99.375391,37.000177],[-99.407015,36.999579],[-99.541116,36.999573]]]},\"properties\":{\"name\":\"Kansas\",\"nation\":\"USA \"}}]}","volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ji, Lei 0000-0002-6133-1036","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":272078,"corporation":false,"usgs":false,"family":"Ji","given":"Lei","affiliations":[{"id":56342,"text":"ASRC Federal Data Solutions, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":831480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":831481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":199093,"corporation":false,"usgs":false,"family":"Friedrichs","given":"MacKenzie","affiliations":[],"preferred":false,"id":831482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schauer, Matthew 0000-0002-4198-3379","orcid":"https://orcid.org/0000-0002-4198-3379","contributorId":181608,"corporation":false,"usgs":false,"family":"Schauer","given":"Matthew","affiliations":[],"preferred":false,"id":831483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boiko, Olena 0000-0002-2007-7852","orcid":"https://orcid.org/0000-0002-2007-7852","contributorId":272079,"corporation":false,"usgs":false,"family":"Boiko","given":"Olena","email":"","affiliations":[{"id":56343,"text":"KBR, Contractor to USGS Earth Resources Observation and Science Center","active":true,"usgs":false}],"preferred":false,"id":831484,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227097,"text":"70227097 - 2021 - Predicted spatial distribution of the Eastern Spotted Skunk (Spilogale putorius) in Virginia using detection and non-detection records","interactions":[],"lastModifiedDate":"2021-12-29T14:33:21.49436","indexId":"70227097","displayToPublicDate":"2021-08-13T08:29:46","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Predicted spatial distribution of the Eastern Spotted Skunk (Spilogale putorius) in Virginia using detection and non-detection records","docAbstract":"The geographic distribution of a species is a fundamental component in understanding its ecology and is necessary for forming effective conservation plans. For rare and elusive species of conservation concern, accurate maps of predicted occurrence are particularly problematic and often highly subjective. Spilogale putorius (Eastern Spotted Skunk) populations have experienced large declines since the 1940s. Their elusive behavior and perceived rarity result in low detection probability when using conventional methods for sampling small mammals. Low detection probability often causes uncertainty as to where Eastern Spotted Skunks could be a management concern. We modeled the distribution of predicted occurrence of Eastern Spotted Skunks using verifiable occurrence and non-detection records obtained throughout Virginia from 2010 to 2020. Occurrence data consisted of trapping records reported to the Virginia Department of Wildlife Resources, incidental photo-verified reports of sightings and road-killed animals, and remote-camera detections. Non-detections were presumed at baited remote-camera locations following intense survey efforts. We fit predicted occurrence models using generalized linear modeling in an information-theoretic framework using the package ‘stats’ in Program R. Our results incidated a greater probability of presence from the Blue Ridge westward, increasing with slope steepness along northeastern- to southeastern-facing slopes and decreasing with slope steepness along southeastern- to southwestern-facing slopes. Emergent rock outcrops prominent along northeastern slopes offer ample protective rocky cover, whereas mixed Quercus spp. (oak), Kalmia latifolia (Mountain Laurel), and Rhododendron maximum (Rosebay Rhododendron) forest communities along southern-facing slopes provide suitable areas of cover, both of which are critical for spotted skunk survival and reproductive success. Our analysis provides insight into the relationships between landscape features and Eastern Spotted Skunk distributions across Virginia. Understanding these relationships is critical for the effective management and conservation of this vulnerable species.
Scenario planning has emerged as a widely used planning process for resource management in situations of consequential, irreducible uncertainty. Because it explicitly incorporates uncertainty, scenario planning is regularly employed in climate change adaptation. An early and essential step in developing scenarios is identifying “climate futures”—descriptions of the physical attributes of plausible future climates that could occur at a specific place and time. Divergent climate futures that describe the broadest possible range of plausible conditions support information needs of decision makers, including understanding the spectrum of potential resource responses to climate change, developing strategies robust to that range, avoiding highly consequential surprises, and averting maladaptation. Here, we discuss three approaches for generating climate futures: a Representative Concentration Pathway (RCP)-ensemble, a quadrant-average, and an individual-projection approach. All are designed to capture relevant uncertainty, but they differ in utility for different applications, complexity, and effort required to implement. Using an application from Big Bend National Park as an example of numerous similar efforts to develop climate futures for National Park Service applications over the past decade, we compare these approaches, focusing on their ability to capture among-projection divergence during early-, mid-, and late-twenty-first century periods to align with near-, mid-, and long-term planning efforts. The quadrant-average approach and especially the individual-projection approach captured a broader range of plausible future conditions than the RCP-ensemble approach, particularly in the near term. Therefore, the individual-projection approach supports decision makers seeking to understand the broadest potential characterization of future conditions. We discuss tradeoffs associated with different climate future approaches and highlight suitable applications.
On the wintering grounds, wetland selection by waterfowl is influenced by spatiotemporal resource distribution. The ring-necked duck (Aythya collaris) winters in the southeastern United States where a disproportionate amount of Atlantic Flyway ring-necked duck harvest occurs. We quantified female ring-necked duck selection for wetland characteristics during and after the 2017–2018 and 2018–2019 waterfowl hunting seasons using discrete choice modeling under a Bayesian framework. Relative probability of selection was primarily influenced by characteristics at the local wetland scale. Relative probability of selection was higher for flooded agriculture and vegetated wetlands than open water and was positively influenced by wetland area during the winter. After the hunting season, the relative probability of selection decreased for flooded agriculture but increased for vegetated wetlands, and the effect of wetland area decreased in magnitude. We attribute changes in selection during and after the hunting season to dietary shifts related to migratory preparation, resource depletion, and reproductive pairing. Understanding the wetland characteristics that wintering waterfowl select, and the spatial scale at which selection occurs, is important for informing effective wetland management and waterfowl harvest practices.