Golden Tegus (Tupinambis teguixin sensu lato) are native to South America and have established a reproducing population in Miami-Dade County, Florida. Recent work divided the Golden Tegu into four separate species, leaving the specific identity of Golden Tegus in Florida unknown. We used morphometric and mitochondrial data to determine the species identity and likely area of geographic origin for a specimen of Golden Tegu collected in Miami-Dade County, Florida. Our results indicate Cryptic Golden Tegus (Tupinambis cryptus) are the species established in Florida. Geographic origin is likely mainland Guyana or Venezuela.
","language":"English","doi":"10.3391/bir.2019.8.2.30","usgsCitation":"Pyron, R.A., Reed, R., Colston, T.J., and Rochford, M.R., 2019, Morphology and molecular data reveal invasion of cryptic golden tegus Tupinambis cryptus Murphy et al., 2016) in Florida: BioInvasions Records, v. 8, no. 2, p. 465-470, https://doi.org/10.3391/bir.2019.8.2.30.","productDescription":"6 p.","startPage":"465","endPage":"470","ipdsId":"IP-103042","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467704,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2019.8.2.30","text":"Publisher Index Page"},{"id":363052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363051,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/bir/2019/Accepted.aspx"}],"country":"United States","state":"Florida","county":"Miami-Dade County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.782470703125,\n 25.22978942503438\n ],\n [\n -80.09033203125,\n 25.22978942503438\n ],\n [\n -80.09033203125,\n 26.10118797369925\n ],\n [\n -80.782470703125,\n 26.10118797369925\n ],\n [\n -80.782470703125,\n 25.22978942503438\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pyron, R. Alexander","contributorId":214888,"corporation":false,"usgs":false,"family":"Pyron","given":"R.","email":"","middleInitial":"Alexander","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":761085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":214887,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colston, Timothy J.","contributorId":214889,"corporation":false,"usgs":false,"family":"Colston","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":761086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rochford, Michael R.","contributorId":200644,"corporation":false,"usgs":false,"family":"Rochford","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":761087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203055,"text":"70203055 - 2019 - Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","interactions":[],"lastModifiedDate":"2019-04-16T10:18:15","indexId":"70203055","displayToPublicDate":"2019-04-15T08:13:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","docAbstract":"Coexistence of ecologically similar species can be maintained by partitioning along one or more niche axes. Three-dimensional structural complexity is central to facilitating resource partitioning between many forest species, but is underrepresented in field-based studies. We examined resource selection by sympatric northern spotted owls (Strix occidentalis caurina), a threatened species under the US Endangered Species Act, and nonnative barred owls (S. varia) in western Oregon, USA to explore the relative importance of canopy heterogeneity, vertical complexity of forest, and abiotic features to resource selection and identify potential differences that may facilitate long-term coexistence. We predicted that within home range selection of understory densities, measured with airborne lidar, would differ between species based on proportional differences in arboreal and terrestrial prey taken by each owl species. We used discrete choice models and telemetry data from 41 spotted owls and 38 barred owls monitored during 2007–2009 and 2012–2015. Our results suggested that while both species used tall canopy areas more often than low canopy areas, spotted owls were more commonly found in areas with lower tree cover, more developed understory, and steeper slopes. This is the first evidence of\nfine-scale partitioning based on structural forest properties by northern spotted owls and barred owls.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42426-0","usgsCitation":"Jenkins, J.M., Lesmeister, D.B., Wiens, D., Kane, J.T., Kane, V.R., and Verschuyl, J.V., 2019, Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry: Scientific Reports, v. 9, p. 1-10, https://doi.org/10.1038/s41598-019-42426-0.","productDescription":"Article 6036; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-099120","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42426-0","text":"Publisher Index Page"},{"id":362969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.21142578125,\n 43.265206318396025\n ],\n [\n -123.42041015624999,\n 43.265206318396025\n ],\n [\n -123.42041015624999,\n 43.872158236415416\n ],\n [\n -124.21142578125,\n 43.872158236415416\n ],\n [\n -124.21142578125,\n 43.265206318396025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Julianna M","contributorId":214850,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","middleInitial":"M","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":760965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":760966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":760964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Jonathan T","contributorId":214851,"corporation":false,"usgs":false,"family":"Kane","given":"Jonathan","email":"","middleInitial":"T","affiliations":[{"id":39124,"text":"University of Washington, School of Environmental and Forest Sciences","active":true,"usgs":false}],"preferred":false,"id":760967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Van R.","contributorId":194879,"corporation":false,"usgs":false,"family":"Kane","given":"Van","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verschuyl, Jake V","contributorId":207280,"corporation":false,"usgs":false,"family":"Verschuyl","given":"Jake","email":"","middleInitial":"V","affiliations":[],"preferred":false,"id":760969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215426,"text":"70215426 - 2019 - Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study","interactions":[],"lastModifiedDate":"2020-10-20T15:02:00.988058","indexId":"70215426","displayToPublicDate":"2019-04-13T09:55:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study","docAbstract":"Many streams are experiencing increased average temperatures due to anthropogenic activity and climate change. As a result, surface water temperature regulation is critical for preserving a diverse stream fish species assemblage. The development of temperature regulations has generally been based on laboratory measurements of individual species' thermal tolerances rather than community response to temperature in the field, despite multiple limitations of using laboratory data for this purpose. Using field data to develop temperature regulations may avoid some of the limitations of laboratory data, but the use of field data comes with additional challenges that prevent its widespread adoption. We used Wyoming stream fish assemblages as a case study to examine the feasibility of addressing the limitations of field and laboratory data through a hybrid approach that integrates both types of data to classify species into thermal guilds that can potentially inform regulatory standards. We identified coldwater, coolwater, and warmwater classes of sites with modeled mean August temperatures of <15.5, 15.5–19.9, and >19.9°C, respectively. We used species' associations with these temperature classes to place species into site‐groups. Finally, we used standardized laboratory measures of species' upper acute and chronic thermal tolerances to identify and reclassify species with unusual thermal distributions. Through this process we classified species into five thermal guilds that may be useful for surface water temperature regulation in Wyoming. Our approach addresses the limitations identified for field and laboratory data and demonstrates a framework that could be used for incorporating multiple types of data to develop temperature standards.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10169","usgsCitation":"Mandeville, C.P., Rahel, F.J., Patterson, L.S., and Walters, A.W., 2019, Integrating fish assemblage data, modeled stream temperatures, and thermal tolerance metrics to develop thermal guilds for water temperature regulation: Wyoming case study: Transactions of the American Fisheries Society, v. 148, no. 4, p. 739-754, https://doi.org/10.1002/tafs.10169.","productDescription":"15 p.","startPage":"739","endPage":"754","ipdsId":"IP-098236","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 40.88029480552824\n ],\n [\n -104.0185546875,\n 40.88029480552824\n ],\n [\n -104.0185546875,\n 44.933696389694674\n ],\n [\n -111.0498046875,\n 44.933696389694674\n ],\n [\n -111.0498046875,\n 40.88029480552824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Mandeville, Caitlin P. 0000-0002-1361-607X","orcid":"https://orcid.org/0000-0002-1361-607X","contributorId":243378,"corporation":false,"usgs":false,"family":"Mandeville","given":"Caitlin","email":"","middleInitial":"P.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":802164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":802165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay S.","contributorId":243379,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","email":"","middleInitial":"S.","affiliations":[{"id":48707,"text":"Wyoming Dept of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":802166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":802167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203200,"text":"70203200 - 2019 - Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States","interactions":[],"lastModifiedDate":"2020-09-01T13:57:44.453274","indexId":"70203200","displayToPublicDate":"2019-04-13T08:46:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States","docAbstract":"The concept of ecological integrity has been applied widely to management of aquatic systems, but still is considered by many to be too vague and difficult to quantify to be useful for managing terrestrial systems, particularly across broad areas. Extensive public lands in the western United States are managed for diverse uses such as timber harvest, livestock grazing, energy development, and wildlife conservation, some of which may degrade ecological integrity. We propose a method for assessing ecological integrity on multiple-use lands that identifies the components of integrity and levels in the ecological hierarchy where the assessment will focus, and considers existing policies and management objectives. Both natural reference and societally desired environmental conditions are relevant comparison points. We applied the method to evaluate the ecological integrity of shrublands in Nevada, yielding an assessment based on six indicators of ecosystem structure, function, and composition, including resource- and stressor-based indicators measured at multiple scales. Results varied spatially and among indicators. Invasive plant cover and surface development were highest in shrublands in northwest and southeast Nevada. Departure from reference conditions of shrubland area, composition, patch size, and connectivity was highest in central and northern Nevada. Results may inform efforts to control invasive species and restore shrublands on federal lands in Nevada. We suggest that ecological integrity assessments for multiple-use lands be grounded in existing policies and monitoring programs, incorporate resource- and stressor-based metrics, rely on publicly available data collected at multiple spatial scales, and quantify both natural reference and societally desired resource conditions.","language":"English","publisher":"Springer","doi":"10.1007/s00267-019-01163-w","usgsCitation":"Carter, S.K., Fleishman, E., Leinwand, I., Flather, C.H., Carr, N.B., Fogarty, F.A., Leu, M., Noon, B.R., Wohlfeil, M., and Wood, D.J., 2019, Quantifying ecological integrity of terrestrial systems to inform management of multiple-use public lands in the United States: Environmental Management, v. 64, no. 1, p. 1-19, https://doi.org/10.1007/s00267-019-01163-w.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-088250","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell 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0000-0002-7511-4059","orcid":"https://orcid.org/0000-0002-7511-4059","contributorId":215098,"corporation":false,"usgs":false,"family":"Wohlfeil","given":"M.E.","email":"","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":761624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wood, David J. A. 0000-0003-4315-5160 dwood@usgs.gov","orcid":"https://orcid.org/0000-0003-4315-5160","contributorId":177588,"corporation":false,"usgs":true,"family":"Wood","given":"David","email":"dwood@usgs.gov","middleInitial":"J. A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":761625,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203030,"text":"sim3430 - 2019 - Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming","interactions":[],"lastModifiedDate":"2019-04-16T09:50:29","indexId":"sim3430","displayToPublicDate":"2019-04-12T10:57:51","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3430","displayTitle":"Stratigraphic and Structural Relations in Trench Exposures and Geomorphology at the Big Burn, Lily Lake, and Lester Ranch Sites, Bear River Fault Zone, Utah and Wyoming","title":"Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming","docAbstract":"This report provides trench photomosaics, logs and related site information, age data, and earthquake event evidence from three paleoseismic trench sites on the Bear River Fault Zone. Our motivation for studying the Bear River Fault Zone—a nascent normal fault in the Rocky Mountains east of the Basin and Range physiographic province—is twofold: (1) the intriguing conclusion from previous work that the neotectonic history of the fault may have begun in the middle to late Holocene and consists of only two surface-rupturing earthquakes and (2) the question of whether large scarps (>10 meters in height) observed along the fault represent net tectonic displacement, which, given a two-event history, would put the displacements among the largest in the Basin and Range region. In presenting our trench and initial geomorphic interpretations, this report lays the groundwork for further exploration of these issues.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3430","usgsCitation":"Hecker, S., DuRoss, C.B., Schwartz, D.P., Cinti, F.R., Civico, R., Lund, W.R., Hiscock, A.I., West, M.W., Wilcox, T., and Stoller, A.R., 2019, Stratigraphic and structural relations in trench exposures and geomorphology at the Big Burn, Lily Lake, and Lester Ranch sites, Bear River Fault Zone, Utah and Wyoming: U.S. Geological Survey Scientific Investigations Map 3430, 8 p., 3 sheets, https://doi.org/10.3133/sim3430.","productDescription":"Report: 13 p.; Sheet 1: 58.03 x 27.83 in.; Sheet 2: 48.68 x 29.19 in.; Sheet 3: 52.58 x 28.94 in.","ipdsId":"IP-087181","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":362927,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet1.pdf","text":"Sheet 1","size":"30 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 1"},{"id":362928,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet2.pdf","text":"Sheet 2","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 2"},{"id":362929,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_sheet3.pdf","text":"Sheet 3","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Map 3430 Sheet 3"},{"id":362930,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3430/coverthb.jpg"},{"id":362926,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3430/sim3430_pamphlet.pdf","text":"Pamphlet","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Bear River Fault Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.92483520507812,\n 40.69001034095325\n ],\n [\n -110.60211181640624,\n 40.69001034095325\n ],\n [\n -110.60211181640624,\n 41.20345619205131\n ],\n [\n -110.92483520507812,\n 41.20345619205131\n ],\n [\n -110.92483520507812,\n 40.69001034095325\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
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Sea otters (Enhydra lutris) are an apex predator of the nearshore marine community and nearly went extinct at the turn of the 20th century. Reintroductions and legal protection allowed sea otters to re‐colonize much of their former range. Our objective was to chronicle the colonization of this apex predator in Glacier Bay, Alaska, to help understand the mechanisms that governed their successful colonization.
Glacier Bay is a tidewater glacier fjord in southeastern Alaska that was entirely covered by glaciers in the mid‐18th century. Since then, it has endured the fastest tidewater glacier retreat in recorded history.
We collected and analysed several data sets, spanning 20 years, to document the spatio‐temporal dynamics of an apex predator expanding into an area where they were formerly absent. We used novel quantitative tools to model the occupancy, abundance and colonization dynamics of sea otters, while accounting for uncertainty in the data collection process, the ecological process and model parameters.
Twenty years after sea otters were first observed colonizing Glacier Bay, they became one of the most abundant and widely distributed marine mammal. The population grew exponentially at a rate of 20% per year. They colonized Glacier Bay at a maximum rate of 6 km per year, with faster colonization rates occurring early in the colonization process. During colonization, sea otters selected shallow areas, close to shore, with a steep bottom slope, and a relatively simple shoreline complexity index.
The growth and expansion of sea otters in Glacier Bay demonstrate how legal protection and translocation of apex predators can facilitate their successful establishment into a community in which they were formerly absent. The success of sea otters was, in part, a consequence of habitat that was left largely unperturbed by humans for the past 250 years. Further, sea otters and other marine predators, whose distribution is limited by ice, have the potential to expand in distribution and abundance, reshaping future marine communities in the wake of deglaciation and global loss of sea ice.
Efforts to restore water quality in Chesapeake Bay and its tributaries often include extensive Best Management Practice (BMP) implementation on agricultural and developed lands. These BMPs include a variety of methods to reduce nutrient and sediment loads, such as cover crops, conservation tillage, urban filtering systems, and other practices.
Estimates of BMP implementation throughout the Chesapeake Bay watershed were provided for each year from 1985 through 2014 by the Chesapeake Bay Program (CBP). This dataset of BMP implementation is a compilation of actions reported by New York, Maryland, Pennsylvania, Delaware, West Virginia, Virginia, and the District of Columbia, and includes a wide array of management activities. Management actions vary among the jurisdictions and generally reflect the typical land use in each region.
The amount of implementation also varies according to different priorities, reporting practices, and special programs within each jurisdiction. For example, extensive cover crop implementation was reported in Maryland whereas Pennsylvania, in general, has lower levels of BMP implementation reported on cropland. Pennsylvania and Maryland have higher levels of infiltration BMPs on developed land compared to those in Virginia.
Conservation tillage BMPs accounted for the majority of reported agricultural BMP implementation in 1985. By 2014, however, a more diverse collection of agricultural BMPs was reported and conservation tillage BMPs accounted for a smaller proportion of overall reported agricultural BMP implementation. After the year 2000, land-use change BMPs, such as land retirement, pasture fencing, and forest buffers, were more commonly reported across the Chesapeake Bay watershed.
Expected changes in nutrient and sediment loads in the Chesapeake Bay watershed due to BMP implementation were estimated by use of specially designed annual scenarios of the CBP Partnership Phase 5.3.2 Watershed Model. Nitrogen loads to streams were estimated to be reduced by 11 percent from 1985 to 2014 due to the implementation of BMPs. Compared with 1985, phosphorus loads were estimated to be 19 percent lower and sediment loads were estimated to be 23 percent lower by 2014 due to the effects of BMPs.
Reductions in total nitrogen from 1985 to 2014 due to BMPs varied spatially across the watershed and were estimated to be as high as 42 percent in areas of the Eastern Shore of the Chesapeake Bay. Reductions in phosphorus and sediment also varied spatially, with the largest reductions occurring in the Potomac watershed upstream of Washington, D.C. and the Eastern Shore of Maryland, according to the CBP model results.
Additional model scenarios were developed to estimate the effect of individual BMP types. The largest estimated reductions in total nitrogen loads on agricultural lands in 2014 were attributed to land retirement, animal waste management systems, and conservation tillage. The largest estimated reductions in total phosphorus loads on agricultural lands were attributed to animal waste management systems, pasture fencing, and phytase feed additives in 2014. The largest estimated reduction in total sediment loads on agricultural lands was attributed to conservation tillage, pasture fencing, and conservation plans.
Dry ponds, wet ponds, and constructed wetlands were reported extensively throughout the watershed. These BMPs accounted for about half of the reduction in nitrogen loads from developed land to streams, half of the phosphorus reduction, and about a third of the sediment reduction.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185171","collaboration":" ","usgsCitation":"Sekellick, A.J., Devereux, O.H., Keisman, J.L.D., Sweeney, J.S., and Blomquist, J.D., 2019, Spatial and temporal patterns of Best Management Practice implementation in the Chesapeake Bay watershed, 1985–2014: U.S. Geological Survey Scientific Investigations Report 2018–5171, 25 p., https://doi.org/10.3133/sir20185171.","productDescription":"vii, 25 p.","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084330","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":362890,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OVU9PX","text":"USGS data release","description":"USGS data release","linkHelpText":"Estimated effect of best management practice implementation on water quality in the Chesapeake Bay watershed from 1985 to 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U.S. Geological Survey
5522 Research Park Drive
Baltimore, MD 21228
The U.S. Geological Survey, in cooperation with the Idaho Department of Environmental Quality, sampled groundwater from 15 wells during spring 2018 near the city of Marsing in rural northwestern Owyhee County, southwestern Idaho. Samples were analyzed for field parameters, nutrients, trace elements, major inorganics, and dissolved gas, including methane. To examine trends in individual wells and in the region, ammonia and nitrate results from the spring 2018 sampling were compared with data collected from 1996 to 2015 by the Idaho Department of Environmental Quality and the Idaho State Department of Agriculture.
Fourteen of the 15 samples collected in 2018 contained arsenic (0.13–33.8 micrograms per liter [μg/L]), with 7 arsenic concentrations greater than the U.S. Environmental Protection Agency (EPA) maximum contaminant level (MCL) of 10 μg/L. Iron (465–4,180 μg/L), manganese (54–693 μg/L), sulfate (300–624 milligrams per liter [mg/L]), and total dissolved solids (511–1,350 mg/L) were detected at concentrations greater than EPA secondary maximum contaminant levels (SMCL) in water-quality samples from 6, 10, 4, and 14 of the 15 wells, respectively. Fourteen of the 15 samples contained ammonia concentrations from 0.12 to 7.34 milligrams per liter (mg/L). Six samples contained nitrate concentrations from 0.08 to 24.6 mg/L, with one sample greater than the EPA MCL of 10 mg/L for drinking water. The presence of both ammonia and nitrate in four samples indicated multiple nutrient and groundwater sources and varying redox states. Ammonia concentrations tended to increase downgradient throughout the study area.
Nutrient trend analysis identified water-quality samples from 2 of the 15 wells with increasing nitrate concentrations from 1999–2018 and 2005–2018. The well with increasing nitrate concentrations from 2005–2018 showed a decreasing trend in ammonia concentrations during the same time period. Groundwater-quality samples from the 13 remaining wells showed no temporal trends. A Regional Kendall test, which evaluates trends at numerous wells across the study area to determine if a consistent trend exists for the area, was done to analyze 539 ammonia concentrations from 91 wells over 20 years (1999–2018) and 591 nitrate concentrations from 107 wells over 23 years (1996–2018). The Regional Kendall Test for ammonia had a tau correlation coefficient of -0.073 with a p-value of 0.072, and nitrate had a tau correlation coefficient of -0.041 with a p-value of 0.198, both indicating no statistically significant trends.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191032","collaboration":"Prepared in cooperation with the Idaho Department of Environmental Quality","usgsCitation":"Skinner, K.D., 2019, Groundwater quality and nutrient trends near Marsing, southwestern Idaho, 2018: U.S. Geological Survey Open-File Report 2019-1032, 23 p., https://doi.org/10.3133/ofr20191032.","productDescription":" iv, 24 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-095202","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":362894,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1032/ofr20191032.pdf","text":"Report","size":"27.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1032"},{"id":362893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1032/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Marsing","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.94345474243164,\n 43.523410314985455\n ],\n [\n -116.7856979370117,\n 43.523410314985455\n ],\n [\n -116.7856979370117,\n 43.60687218565255\n ],\n [\n -116.94345474243164,\n 43.60687218565255\n ],\n [\n -116.94345474243164,\n 43.523410314985455\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520
In support of the goals of the Coachella Valley Multiple Species Habitat Conservation Plan and Natural Community Conservation Plan (CVMSHCP/NCCP), a population of Agassiz’s desert tortoises (Gopherus agassizii) was marked and studied to establish a desert tortoise monitoring program near the Orocopia Mountains beginning in early 2017 and ending in the summer of 2018, following the epic drought of 2012‒2016. This effort compliments a similar effort in the nearby mouth of Cottonwood Canyon in 2015‒2016. Surveys were performed to locate tortoises, tortoise burrows, and tortoise remains at the eastern end of the CVMSHCP area north of the Orocopia Mountains and south of Interstate 10 in Riverside County, California. Although the area is considered Critical Habitat for the recovery of tortoise populations, it was heavily impacted by military training activities in the early 1940s and continues to be impacted by off-highway vehicle use. Data were collected from all live and dead tortoise specimens encountered. Only 22 live tortoises were found during transects covering approximately 21 km2 of habitat surveyed. The sex ratio of live adult tortoises was strongly biased toward males and the sex ratio of recently (4‒5 years) dead carcasses during the long drought was strongly biased toward females. High female mortality may have resulted from the interaction of drought (including increased predation) and the reproductive strategy of tortoises. We located only one new live tortoise in the drought year of 2018 when there was no germination of winter annual food plants. A subsample of nine tortoises was outfitted with radio transmitters, and females (n = 4) were X-radiographed at approximately 10-day intervals from April–July. Mean clutch size was about 4 eggs as is typical for tortoises in this region. Additional tortoises were located opportunistically in and around the Santa Rosa Mountains (located in the southern end of the CVMSHCP area), and these tortoises were also marked for future identification. Blood samples were taken from adult tortoises and scute clips were taken from a subset of juveniles for ongoing studies to determine genetic diversity and relationships of desert tortoises within the CVMSHCP/NCCP area and beyond. The low tortoise density and high adult female mortality observed by us and others in the area may compromise the long-term viability of the population, especially given published predictions of the negative effects of future droughts on tortoises in the region.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2019 Annual Report: Coachella Valley multiple species conservation plan/natural community conservation plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Coachella Valley Conservation Commission","usgsCitation":"Lovich, J.E., Puffer, S., and Cummings, K.L., 2019, Establishing an Agassiz’s Desert Tortoise monitoring program within the Coachella Valley multiple species habitat conservation plan area: Final report to the Coachella Valley conservation commission on work performed near the Orocopia Mountains, chap. Appendix 12 of 2019 Annual Report: Coachella Valley multiple species conservation plan/natural community conservation plan, 32 p.","productDescription":"32 p.","ipdsId":"IP-107821","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":375184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367273,"type":{"id":15,"text":"Index Page"},"url":"https://www.cvmshcp.org"}],"country":"United States","state":"California","otherGeospatial":"Coachella Valley, Orocopia Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.62399291992186,\n 33.91715274008259\n ],\n [\n -116.62811279296875,\n 33.91259414191221\n ],\n [\n -116.40701293945311,\n 33.72548184547877\n ],\n [\n -116.22299194335938,\n 33.55398457177033\n ],\n [\n -116.12686157226561,\n 33.47269019266663\n ],\n [\n -116.02798461914061,\n 33.58831134490155\n ],\n [\n -115.98403930664061,\n 33.735760815044635\n ],\n [\n -116.17904663085938,\n 33.881817226884806\n ],\n [\n -116.58279418945312,\n 34.01396527491264\n ],\n [\n -116.62399291992186,\n 33.91715274008259\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":770444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, Shellie R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":193099,"corporation":false,"usgs":true,"family":"Puffer","given":"Shellie R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":770446,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199531,"text":"ofr20181142 - 2019 - Hurricane Sandy impacts on coastal wetland resilience","interactions":[],"lastModifiedDate":"2024-03-04T18:51:22.151859","indexId":"ofr20181142","displayToPublicDate":"2019-04-10T08:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1142","displayTitle":"Hurricane Sandy Impacts on Coastal Wetland Resilience","title":"Hurricane Sandy impacts on coastal wetland resilience","docAbstract":"The goal of this research was to evaluate the impacts of Hurricane Sandy on surface elevation trends in estuarine marshes located across the northeast region of the United States from Virginia to Maine using data from an opportunistic (in other words, not strategic) and collaborative network (from here on, an opportunistic network) of surface elevation table-marker horizon (SET-MH) stations. First, we built a data-base of metadata for 965 individual stations from 96 unique geographical locations that included the location, geomorphic setting, and wetland type for each SET-MH station. The dominant estuarine settings included in the analyses were back-barrier lagoonal marshes and emergent marshes along embayments and tidal tributaries. We then calculated prestorm elevation trends to compare to poststorm elevation measurements to determine the storm impact on each station trend. We hypothesized that the effect of Hurricane Sandy on marsh elevation trends would differ by position relative to landfall (right or left) and distance from landfall in southern New Jersey, as both of these variables influence the presence or absence of storm surge as a result of the physical characteristics of tropical cyclones (in other words, strongest winds typically occur to the right of landfall). Storm surge was spatially less extensive and less deep (~1 meter [m]) in marshes located to the left (in other words, south) of landfall compared to marshes located to the right (in other words, north) of landfall where storm surge covered a larger area and was deeper (3–4 m). About 63 percent of 223 eligible stations had a poststorm trend that was similar to the prestorm trend (in other words, less than ±5 millimeters [mm]), indicating little storm impact on elevation trends at those sites. The remaining 37 percent of stations exhibited significant poststorm deviations from the prestorm trend (in other words, greater than ±5 mm). Of these, stations located to the left of landfall had a significant and greater deviation in their elevation trend, and the deviation was more likely to be positive (elevation gain) compared to marshes located to the right of landfall, which had a significant deviation in their elevation trend that was more likely to be negative (elevation loss). This finding is directly related to storm surge impacts on marsh sediment deposition, where deep storm surge (3–4 m) results in sediment deposition in habitats inland of coastal marshes but less so in the marshes themselves. Substrate compaction by the storm surge over-burden may have contributed to elevation loss, but this was not measured because sufficient marker horizon data were not available for analysis. In contrast, to the left of landfall the wind-driven flooding of sediment laden water pushed into the headwaters of rivers and small bays with an ~1 m surge, and resulted in more prevalent sediment deposition on the marsh surfaces and elevation gain. In general, the findings support previous research showing that the physical characteristics of the storm (for example, wind speed, storm surge height, impact angle of landfall) combined with the local wetland conditions (for example, marsh productivity, groundwater level, tide height) are important factors determining a storm’s impact on soil elevation, and that the soil elevation response can vary widely among multiple wetland sites impacted by the same storm and among different storms for the same wetland site.
The final objective of this project was to create a framework using metadata from the opportunistic network of SET-MH stations that could be used to develop a strategic monitoring network designed to address specific climate change impacts and related phenomena identified by land managers and stakeholders. We evaluated the spatial distribution and density of SET-MH stations in relation to geographic coverage, marsh setting, availability of public land, and historical storm surge footprints and hurricane return intervals in order to identify gaps in our understanding of risk and our ability to assess it. Analyses revealed that the general geographic coverage of SET-MH stations is limited given the low percentage of marsh patches with stations, low density of stations, the clumped distribution of stations, and the often limited and uneven distribution of stations in wetlands with a high historical frequency of hurricane strikes and storm surge impacts. These findings can be used by managers and planners to inform the creation of a strategic monitoring network that can, in turn, inform management and adaptation plans for coastal resources in the region. Final plan designs will need to consider financial and infrastructural support required for station maintenance, as well as data collection and management over the long term.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181142","usgsCitation":"Cahoon, D.R., Olker, J.H., Yeates, A.G., Guntenspergen, G.R., Grace, J.B., Adamowicz, S.C., Anisfeld, S., Baldwin, A.H., Barrett, N., Beckett, L., Benzecry, A., Blum, L.K., Burdick, D.M., Crouch, W., Ekberg, M.C., Fernald, S., Grimes, K.W., Grzyb, J., Hartig, E.K., Kreeger, D.A., Larson, M., Lerberg, S., Lynch, J.C., Maher, N., Maxwell-Doyle, M., Mitchell, L.R., Mora, J., O’Neill, V., Padeletti, A., Prosser, D., Quirk, T., Raposa, K.B., Reay, W.G., Siok, D., Snow, C., Starke, A., Staver, L., Stevenson, J.C., and Turner, V., 2019, Hurricane Sandy impacts on coastal wetland resilience: U.S. Geological Survey Open-File Report 2018–1142, 117 p., https://doi.org/10.3133/ofr20181142.","productDescription":"xii, 117 p.","ipdsId":"IP-089853","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":362852,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1142/ofr20181142.pdf","text":"Report","size":"30.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1142"},{"id":362851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1142/coverthb1.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.251953125,\n 17.811456088564483\n ],\n [\n -70.9716796875,\n 17.811456088564483\n ],\n [\n -70.9716796875,\n 41.07935114946899\n ],\n [\n -93.251953125,\n 41.07935114946899\n ],\n [\n -93.251953125,\n 17.811456088564483\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12311 Beech Forest Road
Laurel, MD 20708
Adapting cultural resources to climate-change effects challenges traditional cultural resource decision making because some adaptation strategies can negatively affect the integrity of cultural resources. Yet, the inevitability of climate-change effects—even given the uncertain timing of those effects—necessitates that managers begin prioritizing resources for climate-change adaptation. Prioritization imposes an additional management challenge: managers must make difficult tradeoffs to achieve desired management outcomes related to maximizing the resource values. This report provides an overview of a pilot effort to integrate vulnerability (exposure and sensitivity), significance, and use potential metrics in a decision framework—the Optimal Preservation (OptiPres) Model—to inform climate adaptation planning of a subset of buildings in historic districts (listed on the National Register of Historic Places) at Cape Lookout National Seashore. The OptiPres Model uses a numerical optimization algorithm to assess the timing and application of a portfolio of adaptation actions that could most effectively preserve an assortment of buildings associated with different histories, intended uses, and construction design and materials over a 30-year planning horizon. The outputs from the different budget scenarios, though not prescriptive, provide visualizations of and insights to the sequence and type of optimal actions and the changes to individual building resource values and accumulated resource values. Study findings suggest the OptiPres Model has planning utility related to fiscal efficiency by identifying a budget threshold necessary to maintain the historical significance and use potential of historical buildings while reducing vulnerability (collectively, the accumulated resource value). Specifically, findings identify that a minimum of the industry standard ($222,000 annually for the 17 buildings) is needed to maintain the current accumulated resource value. Additionally, results suggest that additional appropriations provided on regular intervals when annual appropriations are at the industry standard are nearly as efficient as annual appropriations at twice the rate of industry standards and increase the amount of accumulated resource values to nearly the same level. However, periodic increases in funding may increase the risks posed to buildings from the probability of a natural hazard (that is, damage or loss from a hurricane). Suggestions for model refinements include developing standardized cost estimations for adaptation actions based on square footage and building materials, developing metrics to quantify the historical integrity of buildings, integrating social values data, including additional objectives (such as public safety) in the model, refining vulnerability data and transforming the data to include risk assessment, and incorporating stochastic events (that is, hurricane and wind effects) into the model.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181180","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Seekamp, E., Post van der Burg, M., Fatorić, S., Eaton, M.J., Xiao, X., and McCreary, A., 2019, Optimizing historical preservation under climate change—An overview of the optimal preservation model and pilot testing at Cape Lookout National Seashore: U.S. Geological Survey Open-File Report 2018–1180, 46 p., https://doi.org/10.3133/ofr20181180.","productDescription":"vii, 46 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096582","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":362669,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1180/ofr20181180.pdf","text":"Report","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1180"},{"id":362668,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1180/coverthb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.66397094726562,\n 34.699848377328934\n ],\n [\n -76.67770385742188,\n 34.67274685882317\n ],\n [\n -76.53213500976562,\n 34.557466483188996\n ],\n [\n -76.02264404296875,\n 35.06147690849717\n ],\n [\n -76.0638427734375,\n 35.09519259251624\n ],\n [\n -76.53076171875,\n 34.66597009307397\n ],\n [\n -76.66397094726562,\n 34.699848377328934\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Climate Adaptation Science Center
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 516
Reston, VA 20192
Email: casc@usgs.gov
This regional protocol provides a framework for quantifying the number of breeding pairs and productivity of Atlantic Coast piping plover (Charadrius melodus) populations during the breeding season. A primary purpose of this protocol is to standardize piping plover monitoring during the breeding season. The survey techniques described herein involve repeated visual counts of adults, nests, eggs, and chicks within a defined survey site (i.e., beach) as well as visual identification of potential threats to survival and productivity. Resulting data can be compiled and analyzed across multiple geographic units (i.e., sites, states, and recovery units) to assess progress toward recovery goals, inform local management decisions, assess management effectiveness, and improve monitoring efforts. This protocol framework was developed as part of the United States Fish and Wildlife Service (USFWS) National Wildlife Refuge System (NWRS) Inventory and Monitoring (I&M) Initiative in coordination with Ecological Services (ES) and state coordinators within the Southeast and Northeast Regions (4 and 5, respectively). Although this protocol framework is to be used primarily by NWRS to inform recovery goals, assist with local management decision-making, and meet State reporting requirements, the approach strives to assist monitoring efforts of nonNWRS partners, such as other federal agencies (e.g. National Park Service), State wildlife agencies, non-governmental organizations, and private landowners. This protocol framework and associated data management system (PIPLweb) aims to interface with existing data management and analysis tools (i.e., PIPLODES, NestStory, and PiperEx) to ensure that data collection is
efficient and comparable across scales, and supports management decisions across partners. The content and structure of the protocol framework follows standards set forth in the USFWS’s How to Develop Survey Protocols: A Handbook (Version 1.0; 2013). The eight elements addressed include: introduction, sampling design, field methods, data management and analysis, reporting, personnel requirements and training, operational requirements, and references. A series of standard operating procedures (SOPs) provides greater detail on recommended methods and technical aspects of this protocol. Data entry, archival, and multi-scale analysis are handled through a secure web application (Plover Inventory and Productivity Library; PIPLweb) developed by the United States Geological Survey (USGS). When management activities and survey objectives are similar across management units, partners (Refuges, other federal agencies, State, NGOs, private) are encouraged to use this protocol framework to develop stepped-down
site-specific survey protocols that include guidance for conducting on-the-ground monitoring and management plans.
The Nooksack River is a dynamic gravel-bedded river in northwestern Washington, draining off Mount Baker and the North Cascades into Puget Sound. Working in cooperation with the Whatcom County Flood Control Zone District, the U.S. Geological Survey studied topographic, hydrologic, and climatic data for the Nooksack River basin to document recent changes in sediment storage, long-term bed elevation trends, rates of sediment transport, and factors influencing surficial drainage in order to support ongoing river management. Differences in elevations between topographic and bathymetric surveys in 2005/06 and 2013/15 indicate the active channel aggraded about 1–2 feet locally near the cities of Ferndale and Everson but was primarily stable between them. The active channel upstream of Nugent’s Corner generally incised. Total incision upstream of Nugent’s Corner to Glacier Creek generated 2.3 ± 1.7 million cubic yards of sediment from 2005/06 to 2013 and likely represented a significant source of coarse sediment to the lower mainstem river over that time.
Long-term records of local channel-bed elevation, derived from U.S. Geological Survey streamgage data, show bed-elevation changes of about 1–3 feet. The river bed at most streamgages exhibits long-term trends, with relatively consistent rates of change on the order of 1 foot per decade that persist years to decades. Lagged correlations in bed-elevation trends at all seven streamgages in the North Fork Nooksack and mainstem Nooksack suggest that decadal periods of persistent aggradation and incision originate in the North Fork and translate downstream. The channel-change signal propagates downstream 0.5–2.5 miles per year, with the rate of propagation scaling closely with channel slope. The pattern of incision and aggradation in the North Fork correlates with regional climate, where persistent incision follows extended cold and wet periods, and persistent aggradation follows extended warm and dry periods. Climate-driven variation in coarse-sediment delivery, primarily from the North Fork Nooksack, then appears to be a strong control on long-term vertical channel adjustments at sites downstream. The downstream-translating climate signal generated in the North Fork would account for recently observed aggradation at Everson and Ferndale but not the observed incision in unconfined reaches upstream of Nugent’s Corner from 2005–06 to 2013. This mismatch indicates that understanding how changes in sediment-supply influence those unconfined reaches remains a key uncertainty for predicting future channel change.
Continuous turbidity monitoring integrated with suspended sediment and limited bedload sampling were used to calculate annual sediment loads at five sites in the basin. The sediment load in the lower river at Ferndale ranged from 0.78 to 1.17 million tons per year and averaged 0.97 million tons per year for WYs 2012–17. Suspended sediment made up 93 percent of the load, and bedload made up 7 percent. Most of the fine sediment load of the lower river is supplied from headwaters of the North, Middle, and South Fork Nooksack basins, with relatively little net increase in fine sediment loads in the lower mainstem basin. The three forks supply approximately equal proportions of the lower-river fine sediment load. However, the glacially sourced North and Middle Fork Nooksack basins carry a notably sandier suspended-sediment load than the South Fork Nooksack.
A comparison of monthly streamflow and precipitation trends since 1981 indicate statistically significant increases in total spring precipitation and the number of spring days with measurable precipitation in much of the basin, as well as increases in mean spring river stage near Ferndale. Since no trends in mean spring discharge are observed, the trends in river stage are attributed primarily to observed changes in bed elevation. Changes in bed elevation and precipitation may then both have plausibly impacted field drainage in the lower river below Ferndale.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195008","collaboration":"Prepared in cooperation with the Whatcom County Flood Control Zone District","usgsCitation":"Anderson, S.W., Konrad, C.P., Grossman, E.E., and Curran, C.A., 2019, Sediment storage and transport in the Nooksack River basin, northwestern Washington, 2006–15: U.S. Geological Survey Scientific Investigations Report 2019-5008, 43 p., https://doi.org/10.3133/sir20195008.","productDescription":"vii, 43 p.","onlineOnly":"Y","ipdsId":"IP-097289","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":362810,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5008/sir20195008.pdf","text":"Report","size":"42.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5008"},{"id":362809,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5008/coverthb2.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nooksack River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.64312744140624,\n 48.499317631540286\n ],\n [\n -121.453857421875,\n 48.499317631540286\n ],\n [\n -121.453857421875,\n 48.9991410647952\n ],\n [\n -122.64312744140624,\n 48.9991410647952\n ],\n [\n -122.64312744140624,\n 48.499317631540286\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Red‐cockaded woodpeckers (RCW; Dryobates borealis) declined after human activities reduced their fire‐maintained pine ecosystem to <3% of its historical range in the southeastern United States and degraded remaining habitat. An estimated 1.6 million RCW cooperative breeding groups declined to about 3,500 groups with no more than 10,000 birds by 1978. Management has increased RCW population abundances since they were at their lowest in the 1990s. However, no range‐wide study has been undertaken since then to investigate the impacts of this massive bottleneck or infer the effects of conservation management and recent demographic recoveries. We used mitochondrial DNA sequences (mtDNA) and nine nuclear microsatellite loci to determine if range‐wide demographic declines resulted in changes to genetic structure and diversity in RCW by comparing samples collected before 1970 (mtDNA data only), between 1992 and 1995 (mtDNA and microsatellites), and between 2010 and 2014 (mtDNA and microsatellites). We show that genetic diversity has been lost as detected by a reduction in the number of mitochondrial haplotypes. This reduction was apparent in comparisons of pre‐1970 mtDNA data with data from the 1992–1995 and 2010–2014 time points, with no change between the latter two time points in mtDNA and microsatellite analyses. The mtDNA data also revealed increases in range‐wide genetic differentiation, with a genetically panmictic population present throughout the southeastern United States in the pre‐1970s data and subsequent development of genetic structure that has remained unchanged since the 1990s. Genetic structure was also uncovered with the microsatellite data, which like the mtDNA data showed little change between the 1992–1995 and 2010–2014 data sets. Temporal haplotype networks revealed a consistent, star‐like phylogeny, suggesting that despite the overall loss of haplotypes, no phylogenetically distinct mtDNA lineages were lost when the population declined. Our results may suggest that management during the last two decades has prevented additional losses of genetic diversity.
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Phase I included: the development of a comprehensive geotechnical relational database populated with data digitized from more than 13,000 subsurface data logs; a detailed data quality analysis and distribution assessment; an extensive gap analysis and needs assessment; and careful design of the geologic mapping and subsurface investigation programs for the next phase of the project.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geotechnical Special Publication","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eighth International Conference on Case Histories in Geotechnical Engineering","conferenceDate":"March 24-27, 2019","conferenceLocation":"Philadelphia, Pennsylvania","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784482162.002","usgsCitation":"Krupansky, J.T., Knight, M.A., Orndorff, R., Al-Akhras, K.M., Mouradian, A.G., and Saleh, A.F., 2019, The Value of Data – The Qatar Geologic Mapping Project, in Geotechnical Special Publication, v. 314, Philadelphia, Pennsylvania, March 24-27, 2019, p. 12-23, https://doi.org/10.1061/9780784482162.002.","productDescription":"12 p.","startPage":"12","endPage":"23","ipdsId":"IP-101378","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":362877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Qatar","volume":"314","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Krupansky, Joseph T.","contributorId":214600,"corporation":false,"usgs":false,"family":"Krupansky","given":"Joseph","email":"","middleInitial":"T.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Michael A.","contributorId":214601,"corporation":false,"usgs":false,"family":"Knight","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Randall 0000-0002-8956-5803","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":214599,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":760353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Akhras, Khaled M.","contributorId":214602,"corporation":false,"usgs":false,"family":"Al-Akhras","given":"Khaled","email":"","middleInitial":"M.","affiliations":[{"id":39085,"text":"Qatar Ministry of Municipality and Environment","active":true,"usgs":false}],"preferred":false,"id":760356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mouradian, Ara G.","contributorId":214603,"corporation":false,"usgs":false,"family":"Mouradian","given":"Ara","email":"","middleInitial":"G.","affiliations":[{"id":39084,"text":"Gannett Fleming, Inc","active":true,"usgs":false}],"preferred":false,"id":760357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Saleh, Ali F.","contributorId":214604,"corporation":false,"usgs":false,"family":"Saleh","given":"Ali","email":"","middleInitial":"F.","affiliations":[{"id":39085,"text":"Qatar Ministry of Municipality and Environment","active":true,"usgs":false}],"preferred":false,"id":760358,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203050,"text":"70203050 - 2019 - Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.","interactions":[],"lastModifiedDate":"2019-07-23T13:34:52","indexId":"70203050","displayToPublicDate":"2019-04-08T09:05:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.","docAbstract":"To better understand the effects of hydrologic alteration as they relate to human and biological needs within the Mississippi Alluvial Plain of the south-central United States, the quantification of hydrologic alteration is required. Quantifying hydrologic alteration in the Mississippi Alluvial Plain is particularly difficult because of the lack of current reference, or even relatively undisturbed, U.S. Geological Survey (USGS) streamflow-gaging stations. Water withdrawals for agriculture in the form of weirs, dams, channelization and other forms of regulation within the Mississippi Alluvial Plain increased substantially beginning around 1960 suggesting that streamflow is substantially altered after this time period. To overcome the lack of stations that exist in the present that are unaffected by anthropogenic activities (or current reference stations), historical streamflow data were used to estimate what streamflow would be in the present without anthropogenic influence (or current reference conditions). These data, when combined with current streamflow information collected by the USGS in south and eastern Arkansas, southwest corner Kentucky, Louisiana, western Mississippi, southeastern corner Missouri, extreme western Tennessee, and extreme southeastern Texas were used to assess the level of hydrologic alteration within the study area.","language":"English","publisher":"Wiley","doi":"10.1002/rra.3427","usgsCitation":"Hart, R.M., and Brian Breaker, 2019, Quantifying hydrologic alteration in an area lacking current reference conditions—The Mississippi Alluvial Plain of the South-Central U.S.: River Research and Applications, v. 35, no. 6, p. 553-565, https://doi.org/10.1002/rra.3427.","productDescription":"13 p.","startPage":"553","endPage":"565","ipdsId":"IP-094894","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":467720,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.3427","text":"Publisher Index Page"},{"id":437506,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PXSBVW","text":"USGS data release","linkHelpText":"Basin characteristics, climate data, and R-scripts to determine hydrologic alteration in the Mississippi Alluvial Plain"},{"id":362976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.3173828125,\n 29.075375179558346\n ],\n [\n -87.5830078125,\n 29.075375179558346\n ],\n [\n -87.5830078125,\n 37.38761749978395\n ],\n [\n -95.3173828125,\n 37.38761749978395\n ],\n [\n -95.3173828125,\n 29.075375179558346\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Rheannon M. 0000-0003-4657-5945 rmhart@usgs.gov","orcid":"https://orcid.org/0000-0003-4657-5945","contributorId":5516,"corporation":false,"usgs":true,"family":"Hart","given":"Rheannon","email":"rmhart@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brian Breaker","contributorId":214843,"corporation":false,"usgs":false,"family":"Brian Breaker","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":760946,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205572,"text":"70205572 - 2019 - A multi-scale soil moisture monitoring strategy for California: Design and validation","interactions":[],"lastModifiedDate":"2019-09-27T09:46:50","indexId":"70205572","displayToPublicDate":"2019-04-08T08:26:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"A multi-scale soil moisture monitoring strategy for California: Design and validation","docAbstract":"A multi‐scale soil moisture monitoring strategy for California was designed to inform water resource management. The proposed workflow classifies soil moisture response units (SMRUs) using publicly available datasets that represent soil, vegetation, climate, and hydrology variables, which control soil water storage. The SMRUs were classified, using principal component analysis and unsupervised K‐means clustering within a geographic information system, and validated, using summary statistics derived from measured soil moisture time series. Validation stations, located in the Sierra Nevada, include transect of sites that cross the rain‐to‐snow transition and a cluster of sites located at similar elevations in a snow‐dominated watershed. The SMRUs capture unique responses to varying climate conditions characterized by statistical measures of central tendency, dispersion, and extremes. A topographic position index and landform classification is the final step in the workflow to guide the optimal placement of soil moisture sensors at the local‐scale. 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\"}}]}","volume":"55","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Curtis, Jennifer","contributorId":219225,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205438,"text":"70205438 - 2019 - Top-down effect of repatriating bald eagles hinder jointly recovering competitors","interactions":[],"lastModifiedDate":"2019-09-18T18:11:45","indexId":"70205438","displayToPublicDate":"2019-04-05T18:01:47","publicationYear":"2019","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":"Top-down effect of repatriating bald eagles hinder jointly recovering competitors","docAbstract":"1. The recovery of piscivorous birds around the world is touted as one of the great conservation successes of the 21st century, but for some species, this success was short-lived. Bald eagles, ospreys, and great blue herons began repatriating Voyageurs National Park, USA, in the mid-20th century. However, after 1990, only eagles continued their recovery, while osprey and heron recovery failed for unknown reasons.
2. We aimed to evaluate whether top-down effects of bald eagles, and bottom-up effects of inclement weather, habitat quality, and fish resources contributed to the failed recovery of ospreys and herons in a protected area.
3. We quantified the relative influence of top-down and bottom-up factors on nest colonization, persistence (i.e., nest reuse) and success for ospreys, and occurrence and size of heronries using 26 years (1986-2012) of spatially-explicit monitoring data coupled with multi-response hierarchical models and Bayesian variable selection approaches.
4. Bald eagles were previously shown to recover faster due to intensive nest protection and management. Increased numbers of eagles were associated with a reduction in the numbers of osprey nests, their nesting success, and heronry size; while higher local densities of nesting eagles deterred heronries nearby. We found little evidence of bottom-up limitations on the failed recovery of herons and ospreys.
5. We present a conservation conundrum: bald eagles are top predators and a flagship species of conservation that have benefited from intensive protection, but this likely hindered the recovery of ospreys and herons. Returning top predators, or rewilding, is widely promoted as a conservation strategy for top-down ecosystem recovery, but managing top predators in isolation of jointly recovering species can halt or reverse ecosystem recovery. Previous studies warn of the potential consequences of ignoring biotic interactions amongst recovering species, but we go further by quantifying how these interactions contributed to failed recoveries via impacts on the nesting demography of jointly recovering species. Multi-species management is paramount to realizing the ecosystem benefits of top predator recovery.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12990","usgsCitation":"Cruz, J., Windels, S.K., Thogmartin, W.E., Crimmins, S., Grim, L.H., Larson, J.H., and Zuckerberg, B., 2019, Top-down effect of repatriating bald eagles hinder jointly recovering competitors: Journal of Animal Ecology, v. 88, no. 7, p. 1054-1065, https://doi.org/10.1111/1365-2656.12990.","productDescription":"12 p.","startPage":"1054","endPage":"1065","ipdsId":"IP-101998","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12990","text":"Publisher Index Page"},{"id":367533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.22586059570312,\n 48.10743118848039\n ],\n [\n -92.50350952148438,\n 48.10743118848039\n ],\n [\n -92.50350952148438,\n 48.608397925562606\n ],\n [\n -93.22586059570312,\n 48.608397925562606\n ],\n [\n -93.22586059570312,\n 48.10743118848039\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cruz, Jennyffer","contributorId":202194,"corporation":false,"usgs":false,"family":"Cruz","given":"Jennyffer","email":"","affiliations":[{"id":36365,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin – Madison","active":true,"usgs":false}],"preferred":false,"id":771177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":771178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crimmins, Shawn M.","contributorId":202196,"corporation":false,"usgs":false,"family":"Crimmins","given":"Shawn M.","affiliations":[{"id":36367,"text":"College of Natural Resources, University of Wisconsin – Stevens Point","active":true,"usgs":false}],"preferred":false,"id":771179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grim, Leland H.","contributorId":219062,"corporation":false,"usgs":false,"family":"Grim","given":"Leland","email":"","middleInitial":"H.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":771180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":771182,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202935,"text":"70202935 - 2019 - A stratigraphic approach to inferring depositional ages from detrital geochronology data","interactions":[],"lastModifiedDate":"2019-04-08T15:28:08","indexId":"70202935","displayToPublicDate":"2019-04-05T13:56:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"A stratigraphic approach to inferring depositional ages from detrital geochronology data","docAbstract":"With the increasing use of detrital geochronology data for provenance analyses, we have also developed new constraints on the age of otherwise undateable sedimentary deposits. Because a deposit can be no older than its youngest mineral constituent, the youngest defensible detrital mineral age defines the maximum depositional age of the sampled bed. Defining the youngest `defensible' age in the face of uncertainty (e.g., analytical and geological uncertainty, or sample contamination) is challenging. The current standard practice of finding multiple detrital minerals with indistinguishable ages provides confidence that a given age is not an artifact; however, we show how requiring this overlap reduces the probability of identifying the true youngest component age. Barring unusual complications, the principle of superposition dictates that sedimentary deposits must get younger upsection. This fundamental constraint can be incoporated into the analysis of depositional ages in sedimentary sections through the use of Bayesian statistics, allowing for the inference of bounded estimates of true depositional ages and uncertainties from detrital geochronology so long as some minimum age constraints are present. We present two approaches for constructing a Bayesian model of deposit ages, first solving directly for the ages of deposits with the prior constraint that the ages of units must obey stratigraphic ordering, and second describing the evolution of ages with a curve that represents the sediment accumulation rate. Using synthetic examples we highlight how this method preforms in less-than-ideal circumstances. In an example from the Magallanes Basin of Patagonia, we demonstrate how introducing other age information from the stratigraphic section (e.g., fossil assemblages or radiometric dates) and formalizing the stratigraphic context of samples provides additional constraints on and information regarding depositional ages or derived quantities (e.g., sediment accumulation rates) compared to isolated analysis of individual samples.","language":"English","publisher":"Frontiers of Earth Science","doi":"10.3389/feart.2019.00057","usgsCitation":"Johnstone, S., Schwartz, T.M., and Holm-Denoma, C.S., 2019, A stratigraphic approach to inferring depositional ages from detrital geochronology data: Frontiers in Earth Science, v. 7, Article 57; 19 p., https://doi.org/10.3389/feart.2019.00057.","productDescription":"Article 57; 19 p.","ipdsId":"IP-102542","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460413,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00057","text":"Publisher Index Page"},{"id":362843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":760541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Theresa M.","contributorId":214678,"corporation":false,"usgs":false,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":760543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202930,"text":"70202930 - 2019 - Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River","interactions":[],"lastModifiedDate":"2019-09-16T11:55:30","indexId":"70202930","displayToPublicDate":"2019-04-05T09:02:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River","docAbstract":"Quantitative evaluation of groundwater/surface water exchange dynamics is universally challenging in large river systems, because existing methodology often does not yield spatially‐distributed data and is difficult to apply in deeper water. Here we apply a combined near‐surface geophysical and direct groundwater chemical toolkit to refine fresh groundwater discharge estimates to the Colorado River through a 4‐km2 wetland that borders the town of Moab, Utah, USA. Preliminary characterization of raw electromagnetic imaging (EMI) data, collected by kayak and by walking, was used to guide additional direct‐contact electrical measurements and installation of new monitoring wells. Chemical data from the wells strongly supported the EMI spatial characterization of preferential fresh groundwater discharge embedded in natural brine groundwaters and weighted to the southern wetland section. Inversion of the EMI data revealed sub‐meter scale detail regarding bulk electrical conductivity zonation across approximately 15.5 km of transects, collected in only 3 days. This electrical detail indicates processes such as salinization of the unsaturated zone and direct discharge through the Colorado River sediments and a tributary creek bed. Overall, the study contributed to a substantial reduction in fresh groundwater discharge estimates previously made using sparse existing well data and a simplified assumption of diffuse fresh groundwater discharge below the entire wetland. EMI will likely become a widely used tool in systems with natural electrical contrast as groundwater/surface water hydrogeologists continue to recognize the prevalence of preferential groundwater discharge processes.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12866","usgsCitation":"Briggs, M.A., Nelson, N.C., Gardner, P.M., Solomon, D.K., Terry, N., and Lane, J.W., 2019, Wetland-scale mapping of preferential fresh groundwater discharge to the Colorado River: Groundwater, v. 57, no. 5, p. 737-748, https://doi.org/10.1111/gwat.12866.","productDescription":"12 p.","startPage":"737","endPage":"748","ipdsId":"IP-104118","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":362812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":760517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Nora C. 0000-0001-8248-2004","orcid":"https://orcid.org/0000-0001-8248-2004","contributorId":207229,"corporation":false,"usgs":true,"family":"Nelson","given":"Nora","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Philip M. 0000-0003-3005-3587 pgardner@usgs.gov","orcid":"https://orcid.org/0000-0003-3005-3587","contributorId":962,"corporation":false,"usgs":true,"family":"Gardner","given":"Philip","email":"pgardner@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solomon, D. Kip","contributorId":214666,"corporation":false,"usgs":false,"family":"Solomon","given":"D.","email":"","middleInitial":"Kip","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":760520,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":760521,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":760522,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}