Without a comprehensive understanding of nekton use of key habitats across locations, natural resource managers and restoration practitioners in the northern Gulf of Mexico region lack a key tool to assist in their efforts to design, implement, and monitor effective coastal restoration and protection efforts in the decades to come. To address this need, Abt helped conduct a systematic literature review, data compilation, and meta-analysis to evaluate nekton use of estuarine habitats in the northern Gulf of Mexico.
","language":"English","publisher":"Abt Associates","usgsCitation":"Hollweg, T.A., Christman, M., Sauby, K., Cebrian, J., and La Peyre, M., 2020, Understanding nekton use of estuarine habitats in the northern Gulf of Mexico: Guidebook for natural resource managers and restoration practitioners: Guidebook, 154 p.","productDescription":"154 p.","ipdsId":"IP-108690","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395512,"type":{"id":15,"text":"Index Page"},"url":"https://www.abtassociates.com/insights/publications/report/understanding-nekton-use-of-estuarine-habitats-in-the-northern-gulf-of"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"Gulf of Mexico coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.99951171875,\n 29.48742484748479\n ],\n [\n -92.64770507812499,\n 29.897805610155874\n ],\n [\n -93.812255859375,\n 29.973970240516614\n ],\n [\n -94.7900390625,\n 29.897805610155874\n ],\n [\n -95.460205078125,\n 29.34387539941801\n ],\n [\n -95.80078125,\n 29.017748018496047\n ],\n [\n -96.8994140625,\n 28.738763971370293\n ],\n [\n -97.547607421875,\n 27.9361805667694\n ],\n [\n -97.679443359375,\n 27.088473156555896\n ],\n [\n -97.23999023437499,\n 26.96124577052697\n ],\n [\n -95.80078125,\n 28.51696944040106\n ],\n [\n -94.405517578125,\n 29.35345166863502\n ],\n [\n -93.021240234375,\n 29.544787796199465\n ],\n [\n -91.99951171875,\n 29.48742484748479\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollweg, T. A.","contributorId":274733,"corporation":false,"usgs":false,"family":"Hollweg","given":"T.","email":"","middleInitial":"A.","affiliations":[{"id":56644,"text":"Abt Associates","active":true,"usgs":false}],"preferred":false,"id":833264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christman, M. C.","contributorId":274734,"corporation":false,"usgs":false,"family":"Christman","given":"M. C.","affiliations":[{"id":56647,"text":"MCC Statistical Consulting","active":true,"usgs":false}],"preferred":false,"id":833265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauby, K.","contributorId":274735,"corporation":false,"usgs":false,"family":"Sauby","given":"K.","email":"","affiliations":[{"id":56647,"text":"MCC Statistical Consulting","active":true,"usgs":false}],"preferred":false,"id":833266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cebrian, J.","contributorId":243394,"corporation":false,"usgs":false,"family":"Cebrian","given":"J.","affiliations":[{"id":48710,"text":"University of South Alabama","active":true,"usgs":false}],"preferred":false,"id":833267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833268,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212539,"text":"70212539 - 2020 - Inland fish and fisheries integral to achieving the Sustainable Development Goals","interactions":[],"lastModifiedDate":"2020-08-20T15:30:23.464971","indexId":"70212539","displayToPublicDate":"2020-05-04T10:25:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5791,"text":"Nature Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Inland fish and fisheries integral to achieving the Sustainable Development Goals","docAbstract":"Inland fish provide food for billions and livelihoods for millions of people worldwide and are integral to effective freshwater ecosystem function, yet the recognition of these services is notably absent in development discussions and policies, such as the United Nations Sustainable Development Goals (SDGs). How might the SDGs be enhanced if inland fishery services were integrated into policies and development schemes? Here, we examine the relationships between inland fish, sustainable fisheries, and functioning freshwater systems and the targets of the SDGs. Our goal is to highlight synergies across the SDGs, particularly No Poverty (SDG 1), Zero Hunger (SDG 2), Clean Water and Sanitation (SDG 6), Responsible Consumption and Production (SDG 12) and Life on Land (SDG 15), that can be achieved with the inclusion of these overlooked inland fishery services.
","language":"English","publisher":"Nature","doi":"10.1038/s41893-020-0517-6","usgsCitation":"Lynch, A., Elliott, V., Phang, S.C., Claussen, J.E., Harrison, I., Karen J. Murchie, E. Ashley Steel, and Gretchen L. Stokes, 2020, Inland fish and fisheries integral to achieving the Sustainable Development Goals: Nature Sustainability, v. 3, p. 579-587, https://doi.org/10.1038/s41893-020-0517-6.","productDescription":"9 p.","startPage":"579","endPage":"587","ipdsId":"IP-107688","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467291,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://researchportal.port.ac.uk/portal/en/publications/inland-fish-and-fisheries-integral-to-achieving-the-sustainable-development-goals(c2017764-034f-4133-b092-61756a4409f8).html","text":"External Repository"},{"id":377691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2020-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":796751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Vittoria","contributorId":238852,"corporation":false,"usgs":false,"family":"Elliott","given":"Vittoria","email":"","affiliations":[{"id":47802,"text":"WorldFish","active":true,"usgs":false}],"preferred":false,"id":796752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phang, Sui C.","contributorId":238853,"corporation":false,"usgs":false,"family":"Phang","given":"Sui","email":"","middleInitial":"C.","affiliations":[{"id":47803,"text":"U. of Portsmouth","active":true,"usgs":false}],"preferred":false,"id":796753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claussen, Julie E.","contributorId":238854,"corporation":false,"usgs":false,"family":"Claussen","given":"Julie","email":"","middleInitial":"E.","affiliations":[{"id":47804,"text":"Fisheries Conservation Foundation","active":true,"usgs":false}],"preferred":false,"id":796754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harrison, Ian","contributorId":238855,"corporation":false,"usgs":false,"family":"Harrison","given":"Ian","email":"","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":796755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karen J. Murchie","contributorId":238856,"corporation":false,"usgs":false,"family":"Karen J. Murchie","affiliations":[{"id":39376,"text":"Shedd Aquarium","active":true,"usgs":false}],"preferred":false,"id":796756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"E. Ashley Steel","contributorId":238857,"corporation":false,"usgs":false,"family":"E. Ashley Steel","affiliations":[{"id":47805,"text":"U. of Washington","active":true,"usgs":false}],"preferred":false,"id":796757,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gretchen L. Stokes","contributorId":238859,"corporation":false,"usgs":false,"family":"Gretchen L. Stokes","affiliations":[{"id":47806,"text":"U. of Florida","active":true,"usgs":false}],"preferred":false,"id":796758,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211696,"text":"70211696 - 2020 - Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide","interactions":[],"lastModifiedDate":"2020-08-07T14:08:23.853806","indexId":"70211696","displayToPublicDate":"2020-05-04T09:06:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide","docAbstract":"Zebra mussels (Dreissena polymorpha) have exacerbated the decline of native freshwater mussels (Order Unionida) in North America since their arrival in the 1980s. Options for controlling invasive mussels, particularly in unionid mussel habitats, are limited. Previously, carbon dioxide (CO2) showed selective toxicity for zebra mussels, relative to unionids, when applied in cool water (12 °C). We first determined 96 h lethal concentrations of CO2 at 5 and 20 °C to zebra mussels and responses of juvenile plain pocketbook (Lampsilis cardium). Next, we compared the time to lethality for zebra mussels at 5, 12, and 20 °C during exposure to partial pressure of CO2 (PCO2) 110¬–120 atmospheres (atm; 1 atm = 101.325 kPa) and responses of juvenile plain pocketbook and fragile papershell (Leptodea fragilis). We found efficacious CO2 treatment regimens at each temperature that were minimally lethal to unionids. At 5 °C, plain pocketbook survived 96 h exposure to the highest PCO2 treatment (139 atm). At 20 °C, the 96 h LC10 (lethal concentration to 10% of animals) for plain pocketbook [173 atm PCO2, 95% confidence interval (CL) 147–198 atm] was higher than the LC99 for zebra mussels (118 atm PCO2, CL 109–127 atm). Lethal time to 99% mortality (LT99) of zebra mussels in 110 to 120 atm PCO2 ranged from 100 h at 20 °C to 300 h at 5 °C. Mean survival of juvenile unionids exceeded 85% in LT99 CO2 treatments at all temperatures. Short-term infusion of 100 to 200 atm PCO2 at a range of water temperatures could reduce biofouling by zebra mussels with limited adverse effects on unionid mussels.","language":"English","publisher":"Wiley","doi":"10.1002/etc.4743","usgsCitation":"Waller, D.L., Bartsch, M.R., Lord, E.G., and Erickson, R.A., 2020, Temperature‐related responses of an invasive mussel and 2 unionid mussels to elevated carbon dioxide: Environmental Toxicology and Chemistry, v. 39, no. 8, p. 1546-1557, https://doi.org/10.1002/etc.4743.","productDescription":"12 p.","startPage":"1546","endPage":"1557","ipdsId":"IP-114982","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":456853,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4743","text":"Publisher Index Page"},{"id":437005,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FMIHJM","text":"USGS data release","linkHelpText":"Temperature-related responses of invasive (Dreissena polymorpha) and native mussels (Order: Unionida) to elevated carbon dioxide data"},{"id":377173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Michelle R. 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":149359,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lord, Eric G. 0000-0003-4790-3381","orcid":"https://orcid.org/0000-0003-4790-3381","contributorId":220708,"corporation":false,"usgs":false,"family":"Lord","given":"Eric","email":"","middleInitial":"G.","affiliations":[{"id":40249,"text":"former UMESC employee","active":true,"usgs":false}],"preferred":false,"id":795106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":795107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209875,"text":"70209875 - 2020 - Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake","interactions":[],"lastModifiedDate":"2020-05-05T13:22:08.452546","indexId":"70209875","displayToPublicDate":"2020-05-04T08:15:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake","docAbstract":"Microplastics are an environmental contaminant of growing concern, but there is a lack of information about microplastic distribution, persistence, availability, and biological uptake in freshwater systems. This is especially true for large river systems like the Colorado River that spans multiple states through mostly rural and agricultural land use. This study characterized the quantity and morphology of microplastics in different environmental compartments in two large reservoirs along the Colorado River: Lakes Mead and Mohave, within Lake Mead National Recreation Area. To assess microplastic occurrence, surface water and surficial sediment were sampled at a total of nine locations. Sampling locations targeted different sub-basins with varying levels of anthropogenic impact. Las Vegas Wash, a tributary which delivers treated wastewater to Lake Mead, was also sampled. A sediment core (33 cm long, representing approximately 19 years) was extracted from Las Vegas Bay to assess changes in microplastic deposition over time. Striped bass (Morone saxatilis), common carp (Cyprinus carpio), quagga mussels (Dreissena bugensis), and Asian clams (Corbicula fluminea) were sampled at a subset of locations to assess biological uptake of microplastics. \n\nMicroplastic concentrations were 0.44-9.7 particles/cubic meter at the water surface and 87.5-1,010 particles/kilogram dry weight (kg dw) at the sediment surface. Sediment core concentrations were 220-2,040 particles/kg dw, with no clear increasing or decreasing trend over time. Shellfish microplastic concentrations ranged from 2.7-105 particles/organism, and fish concentrations ranged from 0-19 particles/organism. Fibers were the most abundant particle type found in all sample types. Although sample numbers are small, microplastic concentrations appear to be higher in areas of greater anthropogenic impact. Results from this study improve our understanding of the occurrence and biological uptake of microplastics in Lake Mead National Recreation Area, and help fill existing knowledge gaps on microplastics in freshwater environments in the southwestern U.S.","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0228896","collaboration":"","usgsCitation":"Baldwin, A.K., Spanjer, A.R., Rosen, M., and Thom, T., 2020, Microplastics in Lake Mead National Recreation Area, USA: Occurrence and biological uptake: PLoS ONE, v. 15, no. 5, e0228896, 20 p., https://doi.org/10.1371/journal.pone.0228896.","productDescription":"e0228896, 20 p.","ipdsId":"IP-112005","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":456857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0228896","text":"Publisher Index Page"},{"id":374454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Lake Mead","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.8565673828125,\n 35.980228800645676\n ],\n [\n -114.03259277343749,\n 35.980228800645676\n ],\n [\n -114.03259277343749,\n 36.595684037179055\n ],\n [\n -114.8565673828125,\n 36.595684037179055\n ],\n [\n -114.8565673828125,\n 35.980228800645676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spanjer, Andrew R. 0000-0002-7288-2722 aspanjer@usgs.gov","orcid":"https://orcid.org/0000-0002-7288-2722","contributorId":150395,"corporation":false,"usgs":true,"family":"Spanjer","given":"Andrew","email":"aspanjer@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosen, Michael R. 0000-0003-3991-0522","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":224435,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thom, Theresa","contributorId":224436,"corporation":false,"usgs":false,"family":"Thom","given":"Theresa","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":788361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227656,"text":"70227656 - 2020 - Recreation conflict, coping, and satisfaction: Minnesota grouse hunters’ conflicts and coping response related to all-terrain vehicle users, hikers, and other hunters","interactions":[],"lastModifiedDate":"2022-01-25T13:27:14.731235","indexId":"70227656","displayToPublicDate":"2020-05-04T07:23:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5520,"text":"Journal of Outdoor Recreation and Tourism","active":true,"publicationSubtype":{"id":10}},"title":"Recreation conflict, coping, and satisfaction: Minnesota grouse hunters’ conflicts and coping response related to all-terrain vehicle users, hikers, and other hunters","docAbstract":"Studying conflict and coping in recreation is important because some coping strategies may provoke distress, while others may lead to positive emotional changes. Building on applications of the transactional stress coping model to park visitors, anglers, and other recreation participants, we explored how Minnesota grouse hunters responded to interference by all-terrain vehicle (ATV)/off-highway vehicle (OHV) users, deer hunters, other grouse/bird hunters, general other hunters, hikers, and bear hunters. We examined relationships among interference, coping, and satisfaction for grouse hunters, and examined how hunter beliefs about ATV use related to perceptions of conflict with ATV users. Encounters with ATV users, deer hunters, other grouse hunters, and hikers lead to problem- and emotion-focused coping, including displacement, confrontive coping, and psychological distancing. Interpersonal conflict with ATVs was positively related to perceptions of interference from ATV users, while no/limited conflict was negatively related. Conflict and coping had a minimal effect on satisfaction.
Although reported levels of interference from other user groups was relatively low, grouse hunters reported moderate interference from ATV users and the use of confrontive coping in response to interactions with ATV riders. Confrontive coping has been associated with increased distress, and deserves attention. However, interference from ATV users was low to moderate and most grouse hunters in the study personally use ATVs for recreation, so there is limited need for management to address conflicts between grouse hunters and ATV riders. Nevertheless, zoning for ATV-free grouse hunting could be tested in areas with reported conflicts between hunters and ATV riders.
Accurately quantifying species’ area requirements is a prerequisite for effective area-based conservation. This typically involves collecting tracking data on species of interest and then conducting home-range analyses. Problematically, autocorrelation in tracking data can result in space needs being severely underestimated. Based on the previous work, we hypothesized the magnitude of underestimation varies with body mass, a relationship that could have serious conservation implications. To evaluate this hypothesis for terrestrial mammals, we estimated home-range areas with global positioning system (GPS) locations from 757 individuals across 61 globally distributed mammalian species with body masses ranging from 0.4 to 4000 kg. We then applied block cross-validation to quantify bias in empirical home-range estimates. Area requirements of mammals <10 kg were underestimated by a mean approximately15%, and species weighing approximately100 kg were underestimated by approximately50% on average. Thus, we found area estimation was subject to autocorrelation-induced bias that was worse for large species. Combined with the fact that extinction risk increases as body mass increases, the allometric scaling of bias we observed suggests the most threatened species are also likely to be those with the least accurate home-range estimates. As a correction, we tested whether data thinning or autocorrelation-informed home-range estimation minimized the scaling effect of autocorrelation on area estimates. Data thinning required an approximately93% data loss to achieve statistical independence with 95% confidence and was, therefore, not a viable solution. In contrast, autocorrelation-informed home-range estimation resulted in consistently accurate estimates irrespective of mass. When relating body mass to home range size, we detected that correcting for autocorrelation resulted in a scaling exponent significantly >1, meaning the scaling of the relationship changed substantially at the upper end of the mass spectrum.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13495","usgsCitation":"Fleming, C.H., Noonan, M.T., Tucker, M.A., Kays, R., Harrison, A., Crofoot, M., Abrahms, B., Alberts, S.C., Abdullahi, A., Altmann, J., Antunes, P.C., Attias, N., Belant, J.L., Cunha de Paula, R., de la torre, J.A., Dekker, J., DePerno, C.S., Farhadinia, M., Fennessy, J., Fichtel, C., Fischer, C., Ford, A.T., Goheen, J.R., Havmoller, R.W., Hirsch, B.T., Hurtado, C., Isbell, L.A., Janssen, R., Jeltsch, F., Kaczensky, P., Kaneko, Y., Kappeler, P.M., Katna, A., Kauffman, M., Koch, F., Kulkarn, A., LaPoint, S., Leimgruber, P., Macdonald, D.W., Markham, A.C., Mcmahon, L., Mertes, K., Moorman, C., Morato, R.G., Mosbrucker, A.M., Mourao, G., O’Connor, D., Oliveira-Santos, L.G., Pastorini, J., Patterson, B.D., Rachlow, J.L., Ranglack, D.H., Reid, N., Scantlebury, D.M., Scott, D.M., Selva, N., Sergiel, A., Songer, M., Songsasen, N., Stabach, J.A., Stacy-Dawes, J., Swingen, M.B., 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Such transfers can be made by humans or can occur by dispersal through connected waterways. A natural surface water connection between the Atlantic and Pacific drainages in North America exists at Two Ocean Pass south of Yellowstone National Park. Yellowstone cutthroat trout Oncorhynchus clarkii bouvieri used this route to cross the Continental Divide and colonize the Yellowstone River from ancestral sources in the Snake River following glacial recession 14,000 bp. Nonnative lake trout Salvelinus namaycush were stocked into lakes in the Snake River headwaters in 1890 and quickly dispersed downstream. Lake trout were discovered in Yellowstone Lake in 1994 and were assumed to have been illegally introduced. Recently, lake trout have demonstrated their ability to move widely through river systems and invade headwater lakes in Glacier National Park. Our objective was to determine if lake trout and other nonnative fish were present in the connected waters near Two Ocean Pass and could thereby colonize the Yellowstone River basin in the past or future. We used environmental DNA (eDNA), electrofishing, and angling to survey for lake trout and other fishes. Yellowstone cutthroat trout were detected at nearly all sites on both sides of the Continental Divide. Lake trout and invasive brook trout S. fontinalis were detected in Pacific Creek near its confluence with the Snake River. We conclude that invasive movements by lake trout from the Snake River over Two Ocean Pass may have resulted in their colonization of Yellowstone Lake. Moreover, Yellowstone Lake may be vulnerable to additional invasions because several other nonnative fish inhabit the upper Snake River. In the future, eDNA collected across smaller spatial intervals in Pacific Creek during flow conditions more conducive to lake trout movement may provide further insight into the extent of non-native fish invasions in this stream.
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Such an analysis of endocrine‐active chemicals (EACs) from water sources has promising regulatory implications but also unique logistical challenges. We propose a conceptual EDA (framework) based on a critical review of EDA literature and concentrations of common EACs in waste and surface waters. Required water volumes for identification of EACs under this EDA framework were estimated based on bioassay performance (in vitro and in vivo bioassays), limits of quantification by mass spectrometry (MS), and EAC water concentrations. Sample volumes for EDA across the EACs showed high variation in the bioassay detectors, with genistein, bisphenol A, and androstenedione requiring very high sample volumes and ethinylestradiol and 17β‐trenbolone requiring low sample volumes. Sample volume based on the MS detector was far less variable across the EACs. The EDA framework equation was rearranged to calculate detector “thresholds,” and these thresholds were compared with the literature EAC water concentrations to evaluate the feasibility of the EDA framework. In the majority of instances, feasibility of the EDA was limited by the bioassay, not MS detection. Mixed model analysis showed that the volumes required for a successful EDA were affected by the potentially responsible EAC, detection methods, and the water source type, with detection method having the greatest effect on the EDA of estrogens and androgens. The EDA framework, equation, and model we present provide a valuable tool for designing a successful EDA.","language":"English","publisher":"Wiley","doi":"10.1002/etc.4739","usgsCitation":"Brennan, J., Gale, R.W., Alvarez, D.A., Berninger, J., Leet, J.K., Li, Y., Wagner, T., and Tillitt, D.E., 2020, Factors affecting sampling strategies for design of an effects‐directed analysis for endocrine‐active chemicals: Environmental Toxicology and Chemistry, v. 39, no. 7, p. 1309-1324, https://doi.org/10.1002/etc.4739.","productDescription":"16 p.","startPage":"1309","endPage":"1324","ipdsId":"IP-116702","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":456874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4739","text":"Publisher Index Page"},{"id":375849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-05-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Jennifer 0000-0003-0386-3496 jcbrennan@usgs.gov","orcid":"https://orcid.org/0000-0003-0386-3496","contributorId":200181,"corporation":false,"usgs":true,"family":"Brennan","given":"Jennifer","email":"jcbrennan@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gale, Robert W. 0000-0002-8533-141X rgale@usgs.gov","orcid":"https://orcid.org/0000-0002-8533-141X","contributorId":2808,"corporation":false,"usgs":true,"family":"Gale","given":"Robert","email":"rgale@usgs.gov","middleInitial":"W.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791369,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":791370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leet, Jessica Kristin 0000-0001-8142-6043","orcid":"https://orcid.org/0000-0001-8142-6043","contributorId":225505,"corporation":false,"usgs":true,"family":"Leet","given":"Jessica","email":"","middleInitial":"Kristin","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791371,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Yan","contributorId":204630,"corporation":false,"usgs":false,"family":"Li","given":"Yan","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":791372,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler","contributorId":204107,"corporation":false,"usgs":false,"family":"Wagner","given":"Tyler","affiliations":[{"id":36847,"text":"Pennsylvania Cooperative Fish and Wildlife Research Institute, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":791373,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":791374,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70210286,"text":"70210286 - 2020 - Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (Bombus vosnesenskii)","interactions":[],"lastModifiedDate":"2020-08-26T19:07:09.876849","indexId":"70210286","displayToPublicDate":"2020-05-02T09:42:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (Bombus vosnesenskii)","docAbstract":"1. Fire-induced changes in the abundance and distribution of organisms, especially plants, can alter resource landscapes for mobile consumers driving bottom-up effects on their population sizes, morphologies, and reproductive potential. We expect these impacts to be most striking for obligate visitors of plants, like bees and other pollinators, but these impacts can be difficult to interpret due to the limited information provided by forager counts in the absence of survival or fitness proxies. \n\n2. Increased bumble bee worker abundance is often coincident with the pulses of flowers that follow recent fire. However, it is unknown if observed postfire activity is due to underlying population growth or a stable pool of colonies recruiting more foragers to abundant resource patches. This distinction is necessary for determining the net impact of disturbance on bumble bees: are there population-wide responses or do just a few colonies reap the rewards? \n\n3. We estimated colony abundance before and after fire in burned and unburned areas using a genetic mark-recapture framework. We paired colony abundance estimates with measures of body size, counts of queens, and estimates of foraging and dispersal to assess changes in worker size, reproductive output, and landscape-scale movements. \n\n4. Higher floral abundance following fire not only increased forager abundance, but also the number of colonies from which those foragers came. Importantly, despite a larger population size we also observed increased mean worker size. Two years following fire, queen abundance was higher in both burned and unburned sites, potentially due to the dispersal of queens from burned into unburned areas. The effects of fire were transient; within two growing seasons, worker abundance was substantially reduced across the entire sampling area and body sizes were similar between burned and unburned sites. \n\n5. Our results reveal how disturbance can temporarily release populations from resource limitation, boosting the genetic diversity, body size, and reproductive output of populations. Given that the effects of fire on bumble bees acted indirectly through pulsed resource availability, it is likely our results are generalizable to other situations, such as habitat restorations, where resource density is enhanced within the landscape.","language":"English","publisher":"Wiley","doi":"10.1111/1365-2656.13244","usgsCitation":"Mola, J.M., Miller, M.R., O'Rourke, S., and Williams, N.M., 2020, Wildfire reveals transient changes to individual traits and population responses of a native bumble bee (Bombus vosnesenskii): Journal of Animal Ecology, v. 89, no. 8, p. 1799-1810, https://doi.org/10.1111/1365-2656.13244.","productDescription":"12 p.","startPage":"1799","endPage":"1810","ipdsId":"IP-115631","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456877,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13244","text":"Publisher Index Page"},{"id":375181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"University of California McLaughlin Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.43606090545656,\n 38.86116445552303\n ],\n [\n -122.40078449249268,\n 38.86116445552303\n ],\n [\n -122.40078449249268,\n 38.88465260708987\n ],\n [\n -122.43606090545656,\n 38.88465260708987\n ],\n [\n -122.43606090545656,\n 38.86116445552303\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Mola, John Michael 0000-0002-5394-9071","orcid":"https://orcid.org/0000-0002-5394-9071","contributorId":224281,"corporation":false,"usgs":true,"family":"Mola","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":789954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Michael R.","contributorId":45796,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":12709,"text":"Department of Animal Science, University of California, Davis, One Shields Avenue, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":789955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Rourke, Sean M.","contributorId":224282,"corporation":false,"usgs":false,"family":"O'Rourke","given":"Sean M.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":789956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Neal M. 0000-0003-3053-8445","orcid":"https://orcid.org/0000-0003-3053-8445","contributorId":214382,"corporation":false,"usgs":false,"family":"Williams","given":"Neal","email":"","middleInitial":"M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":789957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70213227,"text":"70213227 - 2020 - Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces","interactions":[],"lastModifiedDate":"2020-09-15T12:56:38.466452","indexId":"70213227","displayToPublicDate":"2020-05-02T07:41:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces","docAbstract":"Urban green spaces (UGS), like most managed land covers, are getting progressively affected by water scarcity and drought. Preserving, restoring and expanding UGS require sustainable management of green and blue water resources to fulfil evapotranspiration (ET) demand for green plant cover. The heterogeneity of UGS with high variation in their microclimates and irrigation practices builds up the complexity of ET estimation. In oversized UGS, areas too large to be measured with in situ ET methods, remote sensing (RS) approaches of ET measurement have the potential to estimate the actual ET. Often in situ approaches are not feasible or too expensive. We studied the effects of spatial resolution using different satellite images, with high‐, medium‐ and coarse‐spatial resolutions, on the greenness and ET of UGS using Vegetation Indices (VIs) and VI‐based ET, over a 780‐ha urban park in Adelaide, Australia. We validated ET with the ground‐based ET method of Soil Water Balance. Three sets of imagery from WorldView2, Landsat and MODIS, and three VIs including the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Enhanced Vegetation Index 2 (EVI2), were used to assess long‐term changes of VIs and ET calculated from the different imagery acquired for this study (2011–2018). We found high correspondence between ET‐MODIS and ET‐Landsat (R2 > 0.99 for all VIs). Landsat‐VIs captured the seasonal changes of greenness better than MODIS‐VIs. We used artificial neural network (ANN) to relate the RS‐ET and ground data, and ET‐MODIS (EVI2) showed the highest correlation (R2 = 0.95 and MSE =0.01 for validation). We found a strong relationship between RS‐ET and in situ measurements, even though it was not explicable by simple regressions; black box models helped us to explore their correlation. The methodology used in this research makes a strong case for the value of remote sensing in estimating and managing ET of green spaces in water‐limited cities.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13790","usgsCitation":"Nouri, H., Nagler, P.L., Borujeni, S.C., Munez, A.B., Alaghmand, S., Noori, B., Galindo, A., and Didan, K., 2020, Effect of spatial resolution of satellite images on estimating the greenness and evapotranspiration of urban green spaces: Hydrological Processes, v. 34, no. 15, p. 3183-3199, https://doi.org/10.1002/hyp.13790.","productDescription":"17 p.","startPage":"3183","endPage":"3199","ipdsId":"IP-110995","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":456880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.13790","text":"Publisher Index Page"},{"id":378390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","city":"Adelaide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 138.4716796875,\n -35.06597313798418\n ],\n [\n 138.955078125,\n -35.06597313798418\n ],\n [\n 138.955078125,\n -34.70549341022545\n ],\n [\n 138.4716796875,\n -34.70549341022545\n ],\n [\n 138.4716796875,\n -35.06597313798418\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"34","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":798683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":798645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borujeni, Sattar Chavoshi","contributorId":240671,"corporation":false,"usgs":false,"family":"Borujeni","given":"Sattar","email":"","middleInitial":"Chavoshi","affiliations":[],"preferred":false,"id":798684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munez, Armando Barreto","contributorId":240672,"corporation":false,"usgs":false,"family":"Munez","given":"Armando","email":"","middleInitial":"Barreto","affiliations":[],"preferred":false,"id":798685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alaghmand, Sina","contributorId":172388,"corporation":false,"usgs":false,"family":"Alaghmand","given":"Sina","email":"","affiliations":[{"id":27031,"text":"School of Natural and Built Environments, U. So. Aus and Discipline of Civil Engineering, School Of Engineering, Monash University Malaysia","active":true,"usgs":false}],"preferred":false,"id":798686,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noori, Behnaz","contributorId":172392,"corporation":false,"usgs":false,"family":"Noori","given":"Behnaz","email":"","affiliations":[],"preferred":false,"id":798687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Galindo, Alejandro","contributorId":240673,"corporation":false,"usgs":false,"family":"Galindo","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":798688,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Didan, Kamel","contributorId":130999,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","email":"","affiliations":[{"id":7204,"text":"University of Arizona, Electrical and Computer Engineering","active":true,"usgs":false}],"preferred":false,"id":798689,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70211830,"text":"70211830 - 2020 - Sources of variation in maternal allocation in a long-lived mammal","interactions":[],"lastModifiedDate":"2020-08-07T21:45:00.993214","indexId":"70211830","displayToPublicDate":"2020-05-01T16:43:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variation in maternal allocation in a long-lived mammal","docAbstract":"1.
The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has been collecting topographic data at 10 study areas along Fountain Creek, Colorado, annually since 2012. The 10 study areas are located between Colorado Springs and the terminus of Fountain Creek at the Arkansas River in Pueblo. The purpose of this report is to present elevation maps based on topographic surveys collected in 2015 and 2019 and to present maps of elevation change that occurred between 2015 and 2019 at all 10 study areas. Elevation and elevation-change maps were developed in ArcGIS from topographic surveys collected at each study area using real-time kinematic Global Navigation Satellite Systems during the winter months (January through April) of 2015 and 2019. Elevation-change maps were created using statistically defined minimum levels of change detection asso-ciated with the 68-percent confidence limit and the 95-percent confidence limit. Study areas along Fountain Creek underwent a range of geomorphic responses between 2015 and 2019 that often depended on the dominant channel pattern of the study area. The results of this ongoing monitoring effort can be used to assess long-term changes in land-surface elevation and to advance understanding of the geomorphic response to possible alterations in flow conditions on Fountain Creek.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3456","collaboration":"Prepared in cooperation with Colorado Springs Utilities","usgsCitation":"Hempel, L., 2020, Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–19: \nU.S. Geological Survey Scientific Investigations Map 3456, 10 sheets, 9 p., https://doi.org/10.3133/sim3456.","productDescription":"Report: vi, 9 p.; 11 Sheets: 12.20 x 13.45 inches or smaller; Read Me; Data Release","onlineOnly":"Y","ipdsId":"IP-112462","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":391173,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3481","text":"Elevation and Elevation-Change Maps of Fountain Creek, Southeastern Colorado, 2015–20"},{"id":374401,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R00MWF","text":"USGS data release","linkHelpText":"Topographic and Sediment Size Data from Fountain Creek between Colorado Springs and the Confluence with the Arkansas River, Colorado, 2019"},{"id":374374,"rank":14,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_ReadMe.txt","text":"Read Me","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3456 Read Me"},{"id":374298,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet9.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 09","size":"39.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 09","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374296,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet7.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 07","size":"32.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 07","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374295,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet6.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 06","size":"33.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 06","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374297,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet8.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 08","size":"41.8 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layers."},{"id":374293,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet4.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 04","size":"32.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 04","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374294,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet5.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 05","size":"33.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Eevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 05","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374299,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheet10.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 10","size":"34.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Area 10","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":374300,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3456/sim3456_sheets1to10.pdf","text":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Areas 01-10","size":"345 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Elevation (2015, 2019) and Elevation-Change (2015−19) Maps—Study Areas 01-10","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.00457763671874,\n 38.35027253825765\n ],\n [\n -104.5404052734375,\n 38.35027253825765\n ],\n [\n -104.5404052734375,\n 39.15988184949157\n ],\n [\n -105.00457763671874,\n 39.15988184949157\n ],\n [\n -105.00457763671874,\n 38.35027253825765\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046
No abstract available.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.115.3.br01","usgsCitation":"Anderson, E., 2020, Ore deposits: Origin, exploration, and exploitation: Economic Geology, v. 115, no. 3, p. 687-688, https://doi.org/10.5382/econgeo.115.3.br01.","productDescription":"2 p.","startPage":"687","endPage":"688","ipdsId":"IP-115700","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":375189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":202072,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":782182,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227879,"text":"70227879 - 2020 - Prioritizing uncertainties to improve management of a reintroduction program","interactions":[],"lastModifiedDate":"2022-02-02T14:33:56.092155","indexId":"70227879","displayToPublicDate":"2020-05-01T10:58:59","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Prioritizing uncertainties to improve management of a reintroduction program","docAbstract":"The success of wildlife reintroduction efforts rests on the demographic performance of released animals. Whooping Cranes in the eastern migratory population—reintroduced beginning in 2001—demonstrate adequate survival but poor reproduction. Managers and scientists have used an iterative process of learning and management to respond to this management challenge, but by 2015, uncertainty about the causes of reproductive failure remained substantial. An expert judgment–driven process was used to develop and refine competing hypotheses for reproductive failure and to evaluate the impact of various management actions on components of reproduction (nesting success and fledging success) in light of the various hypotheses. I used that information to calculate value of information, the expected improvement in management performance associated with an increase in knowledge, which suggests research and monitoring priorities for the future.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structured decision making: Case studies in natural resource management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Converse, S.J., 2020, Prioritizing uncertainties to improve management of a reintroduction program, chap. 20 of Structured decision making: Case studies in natural resource management, p. 214-224.","productDescription":"11 p.","startPage":"214","endPage":"224","ipdsId":"IP-093976","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395214,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832500,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832501,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832502,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832503,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832456,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227882,"text":"70227882 - 2020 - Reserve network design for prairie-dependent taxa in South Puget Sound","interactions":[],"lastModifiedDate":"2022-02-01T16:49:39.251106","indexId":"70227882","displayToPublicDate":"2020-05-01T10:42:30","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Reserve network design for prairie-dependent taxa in South Puget Sound","docAbstract":"Conserving species requires managing threats, including habitat loss. One approach to managing habitat loss is to identify and protect habitat in networks of reserves. Reserve network design is a type of resource allocation problem: how can we choose the most effective reserve network design given available resources? We undertook development and implementation of a patch dynamics model to allow us to evaluate proposed reserve networks in terms of ability to sustain populations of several taxa that are dependent on native prairie in the South Puget Sound region of Washington, USA. We used expert input to build a patch dynamics model for each taxon and used the model to examine probability of persistence in 50 years under a variety of reserve network designs, including the existing reserve network. Results suggest that the existing reserve network offers varying levels of protection for the different taxa, from desirable (>90% certain that the probability of persistence is ≥75% in 50 years) to negligible. We identified a reserve network that was >90% certain to protect all 6 taxa of interest, which would require a combination of land protection and translocations of taxa to new or existing reserves. Post hoc, we also identified possible hybrid alternatives, involving addition of new reserves and growth of existing reserves, that protected all 6 taxa without translocations. The approach we demonstrate is technically tractable and allows for the evaluation of any proposed reserve network design, thereby allowing a decision maker to evaluate a set of reserve networks that meet resource constraints and determine which of those best meets conservation objectives.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structured decision making: Case studies in natural resource management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Converse, S.J., Gardner, B., and Morey, S., 2020, Reserve network design for prairie-dependent taxa in South Puget Sound, chap. 11 of Structured decision making: Case studies in natural resource management, p. 124-134.","productDescription":"11 p.","startPage":"124","endPage":"134","ipdsId":"IP-093988","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":395212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"South Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.2,\n 47.040182144806664\n ],\n [\n -122.178955078125,\n 47.040182144806664\n ],\n [\n -122.178955078125,\n 47.99727386804474\n ],\n [\n -123.2,\n 47.99727386804474\n ],\n [\n -123.2,\n 47.040182144806664\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832496,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832497,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":261354,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":832498,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":832499,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":832458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morey, Steve","contributorId":147048,"corporation":false,"usgs":false,"family":"Morey","given":"Steve","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":832459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228873,"text":"70228873 - 2020 - Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama","interactions":[],"lastModifiedDate":"2022-03-15T15:25:19.67265","indexId":"70228873","displayToPublicDate":"2020-05-01T09:56:37","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama","docAbstract":"Dauphin Island is a barrier island located in the northern Gulf of Mexico and serves as\nthe only barrier island providing protection to much of the State of Alabama’s coastal natural\nresources. The ecosystem spans over 3,500 acres of barrier island habitat including, beach, dune, overwash fans, intertidal wetlands, maritime forest and freshwater ponds. In addition, Dauphin Island provides protection to approximately one-third of the Mississippi Sound estuarine habitats in its lee including oyster reefs, mainland marshes and seagrasses. The habitat supports a variety of species including at least 347 species of birds, some of which are Federally or State listed species that either pass through or reside on the island. The island enhances the region’s recreational and commercial fishery habitat through maintenance and protection of water quality in the sound and adjacent nearshore habitats. Dauphin Island also serves as the location for cultural resources, the United States Air Force’s (USAF) early warning radar station, the State’s marine education facilities, infrastructure for the oil and gas industry, and a vibrant tourism economy. Consequently, anthropogenic actions (e.g., structural changes) and externally driven natural factors (e.g., storms and sea level rise) that impact Dauphin Island could affect both the conservation and economic value of the island.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/70228873","usgsCitation":"Irwin, E.R., Ouellette Coffman, K., Godsey, E.S., Enwright, N., Lloyd, M., Joyner, K., and Lai, Q.T., 2020, Decision analysis of restoration actions for faunal conservation and other stakeholder values: Dauphin Island, Alabama, xiv, 107 p., https://doi.org/10.3133/70228873.","productDescription":"xiv, 107 p.","ipdsId":"IP-118824","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":397115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":396321,"type":{"id":11,"text":"Document"},"url":"https://gom.usgs.gov/DauphinIsland/data/ALDecisionAnalysis_AppJ.pdf"},{"id":397114,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://gom.usgs.gov/DauphinIsland/Reports.aspx"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.07241439819336,\n 30.24853922017171\n ],\n [\n -88.09249877929688,\n 30.261736090037477\n ],\n [\n -88.11532974243164,\n 30.267814950364478\n ],\n [\n -88.15361022949219,\n 30.26336704072365\n ],\n [\n -88.2143783569336,\n 30.25076353594852\n ],\n [\n -88.21249008178711,\n 30.24542509348503\n ],\n [\n -88.15034866333008,\n 30.247352897833554\n ],\n [\n -88.12940597534178,\n 30.244387029323946\n ],\n [\n -88.11687469482422,\n 30.227628190725536\n ],\n [\n -88.07344436645508,\n 30.244387029323946\n ],\n [\n -88.07241439819336,\n 30.24853922017171\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":835747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ouellette Coffman, K.","contributorId":279939,"corporation":false,"usgs":false,"family":"Ouellette Coffman","given":"K.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godsey, E. S.","contributorId":279940,"corporation":false,"usgs":false,"family":"Godsey","given":"E.","email":"","middleInitial":"S.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":835749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":835750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lloyd, M. Clint","contributorId":201477,"corporation":false,"usgs":false,"family":"Lloyd","given":"M. Clint","affiliations":[],"preferred":false,"id":838018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Joyner, K.","contributorId":279941,"corporation":false,"usgs":false,"family":"Joyner","given":"K.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lai, Q. T.","contributorId":274975,"corporation":false,"usgs":false,"family":"Lai","given":"Q.","email":"","middleInitial":"T.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":835752,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210795,"text":"70210795 - 2020 - Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states","interactions":[],"lastModifiedDate":"2020-06-25T15:19:11.910151","indexId":"70210795","displayToPublicDate":"2020-05-01T09:45:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states","docAbstract":"Theoretical models suggest that ecosystems can be found in one of several possible alternative stable states, and a shift in structural stable state (SSS) can trigger a change in functional stable state (FSS). But we still lack the empirical evidence to confirm these states and transitions, and to inform the rates of change. Here, a 30-yr dataset from long-term ungrazed and grazed temperate grasslands was analyzed to determine whether abrupt transitions of SSS and FSS can occur. We found that the long-term ungrazed grassland experienced abrupt transitions in the dominant plant functional type (shift in SSS) that was followed by a transition between carbon sink and source 1–2 year later (shift in FSS). A directional shift in precipitation and temperature accounted for 40% of the variation in the SSS transition, while the SSS transition explained 20% of the variation in the FSS transition. In contrast, no abrupt transitions for SSS and FSS were observed in the long-term moderately grazed grassland. These findings provide important insight into the interacting effects of climate change and livestock grazing on ecosystem transitions in temperate grasslands. Moderate utilization of production in ecosystems that have co-evolved with herbivores can offset structural and functional transitions induced by climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.106468","usgsCitation":"Hao, Y., Liu, W., Xu, X., Munson, S.M., Cui, X., Kang, X., He, N., and Wang, Y., 2020, Climate-induced abrupt shifts in structural states trigger delayed transitions in functional states: Ecological Indicators, v. 115, 106468, 8 p., https://doi.org/10.1016/j.ecolind.2020.106468.","productDescription":"106468, 8 p.","ipdsId":"IP-115093","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Xilin River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 115.33172607421876,\n 43.058854606434494\n ],\n [\n 117.79266357421874,\n 43.058854606434494\n ],\n [\n 117.79266357421874,\n 44.05601169578525\n ],\n [\n 115.33172607421876,\n 44.05601169578525\n ],\n [\n 115.33172607421876,\n 43.058854606434494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hao, Yanbin","contributorId":225529,"corporation":false,"usgs":false,"family":"Hao","given":"Yanbin","email":"","affiliations":[],"preferred":false,"id":791454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Wenjun","contributorId":225530,"corporation":false,"usgs":false,"family":"Liu","given":"Wenjun","email":"","affiliations":[],"preferred":false,"id":791455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xu, Xingliang","contributorId":225531,"corporation":false,"usgs":false,"family":"Xu","given":"Xingliang","email":"","affiliations":[],"preferred":false,"id":791456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":791457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cui, Xiaoyong","contributorId":225533,"corporation":false,"usgs":false,"family":"Cui","given":"Xiaoyong","email":"","affiliations":[],"preferred":false,"id":791461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kang, Xiaoming","contributorId":225532,"corporation":false,"usgs":false,"family":"Kang","given":"Xiaoming","email":"","affiliations":[],"preferred":false,"id":791458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Nianpeng","contributorId":225534,"corporation":false,"usgs":false,"family":"He","given":"Nianpeng","affiliations":[],"preferred":false,"id":791459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, Yan","contributorId":225535,"corporation":false,"usgs":false,"family":"Wang","given":"Yan","email":"","affiliations":[],"preferred":false,"id":791460,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70228790,"text":"70228790 - 2020 - The relationship between biodiversity and wetland cover varies across regions of the conterminous United States","interactions":[],"lastModifiedDate":"2022-02-21T15:35:17.141252","indexId":"70228790","displayToPublicDate":"2020-05-01T09:21:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The relationship between biodiversity and wetland cover varies across regions of the conterminous United States","docAbstract":"Identifying the factors that determine the spatial distribution of biodiversity is a major focus of ecological research. These factors vary with scale from interspecific interactions to global climatic cycles. Wetlands are important biodiversity hotspots and contributors of ecosystem services, but the association between proportional wetland cover and species richness has shown mixed results. It is not well known as to what extent there is a relationship between proportional wetland cover and species richness, especially at the sub-continental scale. We used the National Wetlands Inventory to model wetland cover for the conterminous United States and the National Land Cover Database to estimate wetland change between 2001 and 2011. We used a Bayesian spatial Poisson model to estimate a spatially varying coefficient surface describing the effect of proportional wetland cover on the distribution of amphibians, birds, mammals, and reptiles and the cumulative distribution of terrestrial endemic species. Species richness and wetland cover were significantly correlated, and this relationship varied both spatially and by taxonomic group. Rather than a continental-scale association, however, we found that this relationship changed more closely among ecoregions. The species richness of each of the five groups was positively associated with wetland cover in some or all of the Great Plains; additionally, a positive association was found for mammals in the Southeastern Plains and Piedmont of the eastern U.S. Model results indicated negative association especially in the Cold Deserts and Northern Lakes & Forests of Minnesota and Wisconsin, though these varied greatly between groups. Our results highlight the need for wetland conservation initiatives that focus efforts at the level II and III ecoregional scale rather than along political boundaries. 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Stella","contributorId":279800,"corporation":false,"usgs":false,"family":"Self","given":"Stella","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":835488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrett, Kyle","contributorId":149401,"corporation":false,"usgs":false,"family":"Barrett","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":835491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, Robert F.","contributorId":96415,"corporation":false,"usgs":true,"family":"Baldwin","given":"Robert","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":835489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70214311,"text":"70214311 - 2020 - First record of pughead deformity in the threatened Clear Lake Hitch","interactions":[],"lastModifiedDate":"2020-09-25T14:06:21.882868","indexId":"70214311","displayToPublicDate":"2020-05-01T09:06:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1153,"text":"California Fish and Game","active":true,"publicationSubtype":{"id":10}},"title":"First record of pughead deformity in the threatened Clear Lake Hitch","docAbstract":"No abstract available.
","language":"English","publisher":"California Department of Fish and Wildlife","usgsCitation":"Kathan, J.C., Young, M.J., and Feyrer, F.V., 2020, First record of pughead deformity in the threatened Clear Lake Hitch: California Fish and Game, v. 106, no. 2, p. 186-190.","productDescription":"5 p.","startPage":"186","endPage":"190","ipdsId":"IP-111468","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":378744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378741,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.ca.gov/Publications/Journal/Contents"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.93838500976561,\n 38.91133881927712\n ],\n [\n -122.57858276367186,\n 38.91133881927712\n ],\n [\n -122.57858276367186,\n 39.13432124527173\n ],\n [\n -122.93838500976561,\n 39.13432124527173\n ],\n [\n -122.93838500976561,\n 38.91133881927712\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kathan, Jessica Catherine 0000-0002-3405-4221","orcid":"https://orcid.org/0000-0002-3405-4221","contributorId":241137,"corporation":false,"usgs":true,"family":"Kathan","given":"Jessica","email":"","middleInitial":"Catherine","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":799627,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228397,"text":"70228397 - 2020 - Using the Delphi process to gather information from a Bald Eagle expert panel","interactions":[],"lastModifiedDate":"2022-02-10T14:49:41.948517","indexId":"70228397","displayToPublicDate":"2020-05-01T08:44:45","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SWAN.NRR-2020/2128","title":"Using the Delphi process to gather information from a Bald Eagle expert panel","docAbstract":"Bald eagle (Haliaeetus leucocephalus) populations are classified by the Southwest Alaska Network (SWAN) of the National Park Service as a vital sign of biological integrity, largely because of their importance as an indicator species for environmental contaminants and human disturbance. Though Bald Eagles are plentiful in Alaska, it is still imperative to have a monitoring plan that allows for the estimation of population sizes and detection of significant changes in populations. Currently, Bald Eagles are monitored in Kenai Fjords National Park, Katmai National Park and Preserve, Lake Clark National Park and Preserve, and Wrangell – St. Elias National Park, but each park uses different monitoring procedures and evaluation criteria. This makes it difficult for scientists and managers to compare data, detect changes in overall populations, and make effective management decisions. Our research is using a formal structured decision-making process to ensure that the Bald Eagle monitoring conducted by the parks is standardized and meets programmatic goals and objectives. We implemented a Delphi process, which is an iterative survey technique that is used to gather expert opinion. We used online questionnaires to gather information and opinions from National Park Service scientists and managers, eagle experts, and other interested parties. We identified important stressors and feasible monitoring metrics, which were tied to the means objectives for the Bald Eagle monitoring program: minimize cost, minimize effort, maximize ability to detect change in populations, and maximize accurate information about Bald Eagles. We will also analyze monitoring metrics using a consequence table, which determines the performance of each objective in terms of the means objectives chosen by expert panelists. This information will help to create a more accurate conceptual model of the system to guide development of a Bald Eagle monitoring program that can be standardized among Southwest Alaska National Parks.
","language":"English","publisher":"National Park Service","usgsCitation":"Kolstrom, R., Wilson, T., and Gigliotti, L.M., 2020, Using the Delphi process to gather information from a Bald Eagle expert panel: Natural Resource Report NPS/SWAN.NRR-2020/2128, vii, 57 p.","productDescription":"vii, 57 p.","ipdsId":"IP-111246","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395766,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://irma.nps.gov/DataStore/DownloadFile/640030"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.65429687499997,\n 54.54657953840501\n ],\n [\n -134.736328125,\n 54.54657953840501\n ],\n [\n -134.736328125,\n 61.501734289732326\n ],\n [\n -155.65429687499997,\n 61.501734289732326\n ],\n [\n -155.65429687499997,\n 54.54657953840501\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kolstrom, Rebecca","contributorId":275658,"corporation":false,"usgs":false,"family":"Kolstrom","given":"Rebecca","email":"","affiliations":[],"preferred":false,"id":834198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Tammy L.","contributorId":275659,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy L.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":834199,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gigliotti, Larry M. 0000-0002-1693-5113 lgigliotti@usgs.gov","orcid":"https://orcid.org/0000-0002-1693-5113","contributorId":3906,"corporation":false,"usgs":true,"family":"Gigliotti","given":"Larry","email":"lgigliotti@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834200,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209903,"text":"70209903 - 2020 - Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations","interactions":[],"lastModifiedDate":"2020-05-06T12:20:26.195737","indexId":"70209903","displayToPublicDate":"2020-05-01T07:17:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations","docAbstract":"Floods affected approximately two billion people around the world from 1998–2017, causing over 142,000 fatalities and over 656 billion U.S. dollars in economic losses. Flood data, such as the extent of inundation and peak flood stage, are needed to define the environmental, economic, and social impacts of significant flood events. Ground-based global positioning system (GPS) surveys of post-flood high-water marks (HWMs) and topography are commonly used to define flood inundation and stage, but can be time consuming, difficult, and expensive to conduct. Here, we demonstrate and test the use of small unmanned aircraft systems (sUAS) and close-range remote sensing techniques to collect high-accuracy flood data to define peak flood stage elevations and river cross sections. We evaluate the elevation accuracy of the HWMs from sUAS surveys by comparison with traditional GPS surveys, which have acceptable accuracy for many post-flood assessments, at two flood sites on two small streams in the United States. Mean elevation errors for the sUAS surveys were 0.07 m and 0.14 m for the semiarid and temperate sites respectively, and those values are similar to typical errors when measuring HWM elevations with GPS surveys. Results demonstrate that sUAS surveys of HWMs and cross sections can be an inexpensive and efficient alternative to GPS surveys, and we provide insights that can be used to decide whether sUAS or GPS techniques will be most efficient for post-flood surveying.","language":"English","publisher":"MDPI","doi":"10.3390/rs12091437","collaboration":"","usgsCitation":"Forbes, B.T., DeBenedetto, G., Dickinson, J.E., Bunch, C., and Fitzpatrick, F., 2020, Using small unmanned aircraft systems for measuring post-flood high-water marks and streambed elevations: Remote Sensing, v. 12, no. 9, 1437, 22 p., https://doi.org/10.3390/rs12091437.","productDescription":"1437, 22 p.","ipdsId":"IP-115597","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":456891,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12091437","text":"Publisher Index Page"},{"id":437008,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NFR2TQ","text":"USGS data release","linkHelpText":"04087088 - Underwood Creek at Wauwatosa, WI - 2019/07/17 GPS Survey"},{"id":437007,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZNN0Z5","text":"USGS data release","linkHelpText":"04087088 - Underwood Creek at Wauwatosa, WI - 2018/09/14 GPS Survey"},{"id":437006,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TRESCN","text":"USGS data release","linkHelpText":"09487000 - Brawley Wash near Three Points, AZ - 2018/09/19 GPS Survey"},{"id":374485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Forbes, Brandon T. 0000-0003-4051-0593 bforbes@usgs.gov","orcid":"https://orcid.org/0000-0003-4051-0593","contributorId":213549,"corporation":false,"usgs":true,"family":"Forbes","given":"Brandon","email":"bforbes@usgs.gov","middleInitial":"T.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBenedetto, Geoffrey 0000-0003-0696-4567 gdebened@usgs.gov","orcid":"https://orcid.org/0000-0003-0696-4567","contributorId":220988,"corporation":false,"usgs":true,"family":"DeBenedetto","given":"Geoffrey","email":"gdebened@usgs.gov","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Claire 0000-0002-1360-8598","orcid":"https://orcid.org/0000-0002-1360-8598","contributorId":220987,"corporation":false,"usgs":true,"family":"Bunch","given":"Claire","email":"","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":788560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":173463,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":788561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210149,"text":"70210149 - 2020 - Individual and population fitness consequences associated with large carnivore use of residential development","interactions":[],"lastModifiedDate":"2020-05-18T12:15:44.247337","indexId":"70210149","displayToPublicDate":"2020-05-01T07:11:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Individual and population fitness consequences associated with large carnivore use of residential development","docAbstract":"Large carnivores are negotiating increasingly developed landscapes, but little is known about how such behavioral plasticity influences their demographic rates and population trends. Some investigators have suggested that the ability of carnivores to behaviorally adapt to human development will enable their persistence, and yet, others have suggested that such landscapes are likely to serve as population sinks or ecological traps. To understand how plasticity in black bear (Ursus americanus) use of residential development influences their population dynamics, we conducted a 6 year study near Durango, Colorado, USA. Using space-use data on individual bears, we examined the influence of use of residential development on annual measures of bear body fat, cub productivity, cub survival and adult female survival, after accounting for variation in natural food availability and individual attributes (e.g., age). We then used our field-based vital rate estimates to parameterize a matrix model that simulated asymptotic population growth for bears using residential development to different degrees. We found that bear use of residential development was highly variable within and across years, with bears increasing their foraging within development when natural foods were scarce. Increased bear use of development was associated with increased body fat and cub productivity, but reduced cub and adult survival. When these effects were simultaneously incorporated into a matrix model we found that the population was projected to decline as bear use of development increased, given that the costs of reduced survival outweighed the benefits of enhanced productivity. Our results provide a mechanistic understanding of how black bear use of residential development exerts opposing effects on different bear fitness traits and a negative effect on population growth, with the magnitude of those effects mediated by variation in environmental conditions. They also highlight the importance of monitoring bear population dynamics, particularly as shifts in bear behavior are likely to drive increases in human-bear conflicts and the perception of growing bear populations. Finally, our work emphasizes the need to consider the demographic viability of large carnivore populations when promoting the coexistence of people and carnivores on shared landscapes.","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3098","collaboration":"","usgsCitation":"Johnson, H.E., Lewis, D., and Breck, S., 2020, Individual and population fitness consequences associated with large carnivore use of residential development: Ecosphere, v. 11, no. 5, e03098, 23 p., https://doi.org/10.1002/ecs2.3098.","productDescription":"e03098, 23 p.","ipdsId":"IP-111185","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":456893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3098","text":"Publisher Index Page"},{"id":374882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Durango","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.11370849609375,\n 37.1165261849112\n ],\n [\n -107.66876220703125,\n 37.1165261849112\n ],\n [\n -107.66876220703125,\n 37.398528132728615\n ],\n [\n -108.11370849609375,\n 37.398528132728615\n ],\n [\n -108.11370849609375,\n 37.1165261849112\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":789314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, David Bruce","contributorId":156433,"corporation":false,"usgs":false,"family":"Lewis","given":"David Bruce","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":789315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breck, Stewart","contributorId":199403,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart","affiliations":[],"preferred":false,"id":789316,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70222593,"text":"70222593 - 2020 - Risk-targeted alternatives to deterministic ground motion caps in U.S. seismic provisions","interactions":[],"lastModifiedDate":"2021-08-09T12:02:34.873846","indexId":"70222593","displayToPublicDate":"2020-05-01T06:57:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Risk-targeted alternatives to deterministic ground motion caps in U.S. seismic provisions","docAbstract":"Since their inception over 20 years ago, the maximum considered earthquake ground motion maps in U.S. building codes have capped probabilistic values with deterministic ground motions from characteristic earthquakes on known active faults. This practice has increasingly been called into question both because of spatially non-uniform risk levels that are produced (risk being higher mainly in coastal California) and practical difficulties in defining characteristic earthquakes from recent earthquake rupture forecast models. We describe two proposals developed to enable phase-out of deterministic caps. One approach modestly increases collapse risk targets nationwide based on recent information on return periods of characteristic earthquakes on major central and eastern U.S. seismic sources; adoption of this approach would remove the perceived need for caps in California. The second approach uses geographically varying collapse risk targets, being higher near the highly active faults in California and unchanged elsewhere. Neither approach was adopted for the 2020 National Earthquake Hazards Reduction Program recommended seismic Provisions for new building structures, but they are described in a Part 3 document to accompany the Provisions and Commentary.
As Earth’s climate rapidly changes, species range shifts are considered key to species persistence. However, some range-shifting species will alter community structure and ecosystem processes. By adapting existing invasion risk assessment frameworks, we can identify characteristics shared with high-impact introductions and thus predict potential impacts. There are fundamental differences between introduced and range-shifting species, primarily shared evolutionary histories between range shifters and their new community. Nevertheless, impacts can occur via analogous mechanisms, such as wide dispersal, community disturbance and low biotic resistance. As ranges shift in response to climate change, we have an opportunity to develop plans to facilitate advantageous movements and limit those that are problematic.
","language":"English","publisher":"Nature Climate Change","doi":"10.1038/s41558-020-0768-2","usgsCitation":"Wallingford, P.D., Morelli, T.L., Allen, J.M., Beaury, E.M., Blumenthal, D.M., Bradley, B.A., Dukes, J.S., Early, R., Fusco, E.J., Goldberg, D.E., Ibanez, I., Laginhas, B.B., Vila, M., and Sorte, C.J., 2020, Adjusting the lens of invasion biology to focus on the impacts of climate-driven range shifts: Nature Climate Change, v. 10, p. 398-405, https://doi.org/10.1038/s41558-020-0768-2.","productDescription":"8 p.","startPage":"398","endPage":"405","ipdsId":"IP-113776","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502442,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External 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Center","active":true,"usgs":true}],"preferred":true,"id":794291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Jenica M.","contributorId":146420,"corporation":false,"usgs":false,"family":"Allen","given":"Jenica","email":"","middleInitial":"M.","affiliations":[{"id":13006,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":794293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaury, Evelyn M.","contributorId":236820,"corporation":false,"usgs":false,"family":"Beaury","given":"Evelyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blumenthal, Dana M.","contributorId":203896,"corporation":false,"usgs":false,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":36745,"text":"USDA-ARS Rangeland Resources Research 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