Global management of wetlands to suppress greenhouse gas (GHG) emissions, facilitate carbon (C) sequestration, and reduce atmospheric CO2 concentrations while simultaneously promoting agricultural gains is paramount. However, studies that relate variability in CO2 and CH4 emissions at large spatial scales are limited. We investigated three-year emissions of soil CO2 and CH4 from the primary wetland types of the Liaohe Delta, China, by focusing on a total wetland area of 3287 km2. One percent is Suaeda salsa, 24% is Phragmites australis, and 75% is rice. While S. salsa wetlands are under somewhat natural tidal influence, P. australis and rice are managed hydrologically for paper and food, respectively. Total C emissions from CO2 and CH4 from these wetland soils were 2.9 Tg C/year, ranging from 2.5 to 3.3 Tg C/year depending on the year assessed. Primary emissions were from CO2 (~98%). Photosynthetic uptake of CO2 would mitigate most of the soil CO2 emissions, but CH4 emissions would persist. Overall, CH4 fluxes were high when soil temperatures were >18°C and pore water salinity <18 PSU. CH4 emissions from rice habitat alone in the Liaohe Delta represent 0.2% of CH4 carbon emissions globally from rice. With such a large area and interannual sensitivity in soil GHG fluxes, management practices in the Delta and similar wetlands around the world have the potential not only to influence local C budgeting, but also to influence global biogeochemical cycling.
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aquifers","interactions":[],"lastModifiedDate":"2016-08-31T11:05:08","indexId":"70175734","displayToPublicDate":"2016-08-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5198,"text":"Geological Society of America Special Papers ","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers","docAbstract":"The epikarst, which consists of highly weathered rock in the upper vadose zone of exposed karst systems, plays a critical role in determining the hydrologic and geochemical characteristics of recharge to an underlying karst aquifer. This study utilized time series (2007–2014) of hydrologic and geochemical data of drip water collected within James Cave, Virginia, to examine the influence of epikarst on the quantity and quality of recharge in a mature, doline-dominated karst terrain. Results show a strong seasonality of both hydrology and geochemistry of recharge, which has implications for management of karst aquifers in temperate climatic zones. First, recharge (discharge from the epikarst to the underlying aquifer) reaches a maximum between late winter and early spring, with the onset of the recharge season ranging from as early as December to as late as March during the study period. The timing and duration of the recharge season were found to be a function of precipitation in excess of evapotranspiration on a seasonal time scale. Secondly, seasonally variable residence times for water in the epikarst influence rock-water interaction and, hence, the geochemical characteristics of recharge. Overall, results highlight the strong and complex influence that the epikarst has on karst recharge, which requires long-term and high-resolution data sets to accurately understand and quantify.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2516(15)","usgsCitation":"Eagle, S.D., Orndorff, W., Schwartz, B.F., Doctor, D.H., Gerst, J.D., and Schreiber, M.E., 2016, Analysis of hydrologic and geochemical time-series data at James Cave, Virginia: Implications for epikarst influence on recharge in Appalachian karst aquifers: Geological Society of America Special Papers , v. 516, p. 181-196, https://doi.org/10.1130/2015.2516(15).","productDescription":"16 p.","startPage":"181","endPage":"196","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061917","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":328105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326851,"type":{"id":15,"text":"Index Page"},"url":"https://specialpapers.gsapubs.org/content/516/181"}],"country":"United States","state":"Virginia","otherGeospatial":"James Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.87654113769531,\n 37.11707372086296\n ],\n [\n -80.67260742187499,\n 37.2133783531779\n ],\n [\n -80.61698913574219,\n 37.228141500433615\n ],\n [\n -80.59776306152344,\n 37.18821967018367\n ],\n [\n -80.58609008789062,\n 37.18110808791507\n ],\n [\n -80.56755065917969,\n 37.19533058280065\n ],\n [\n -80.52291870117188,\n 37.209003532428646\n ],\n [\n -80.51673889160155,\n 37.19423663983283\n ],\n [\n -80.55450439453125,\n 37.1893137003281\n ],\n [\n -80.56480407714844,\n 37.17563718436526\n ],\n [\n -80.53047180175781,\n 37.14937133266766\n ],\n [\n -80.50575256347656,\n 37.073258333985585\n ],\n [\n -80.72067260742188,\n 36.95318415967938\n ],\n [\n -80.87654113769531,\n 37.11707372086296\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"516","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7ffaee4b0f2f0cebfc21c","contributors":{"authors":[{"text":"Eagle, Sarah D.","contributorId":150746,"corporation":false,"usgs":false,"family":"Eagle","given":"Sarah","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":646235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, William","contributorId":150745,"corporation":false,"usgs":false,"family":"Orndorff","given":"William","email":"","affiliations":[{"id":18088,"text":"Virginia Dept. of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":646236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Benjamin F.","contributorId":150744,"corporation":false,"usgs":false,"family":"Schwartz","given":"Benjamin","email":"","middleInitial":"F.","affiliations":[{"id":18087,"text":"Texas State University, San Marcos","active":true,"usgs":false}],"preferred":false,"id":646237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":646234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerst, Jonathan D.","contributorId":150747,"corporation":false,"usgs":false,"family":"Gerst","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":18089,"text":"Virginia Tech, Dept. of Geosciences","active":true,"usgs":false}],"preferred":false,"id":646238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreiber, Madeline E.","contributorId":138959,"corporation":false,"usgs":false,"family":"Schreiber","given":"Madeline","email":"","middleInitial":"E.","affiliations":[{"id":12594,"text":"Department of Geosciences, Virginia Tech, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":646239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70207061,"text":"70207061 - 2016 - To manage inland fisheries is to manage at the social-ecological watershed scale","interactions":[],"lastModifiedDate":"2019-12-04T16:09:25","indexId":"70207061","displayToPublicDate":"2016-08-05T16:01:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"To manage inland fisheries is to manage at the social-ecological watershed scale","docAbstract":"Approaches to managing inland fisheries vary between systems and regions but are often based on large-scale marine fisheries principles and thus limited and outdated. Rarely do they adopt holistic approaches that consider the complex interplay among humans, fish, and the environment. We argue that there is an urgent need for a shift in inland fisheries management towards holistic and transdisciplinary approaches that embrace the principles of social-ecological systems at the watershed scale. The interconnectedness of inland fisheries with their associated watershed (biotic, abiotic, and humans) make them extremely complex and challenging to manage and protect. For this reason, the watershed is a logical management unit. To assist management at this scale, we propose a framework that integrates disparate concepts and management paradigms to facilitate inland fisheries management and sustainability. We contend that inland fisheries need to be managed as social-ecological watershed system (SEWS). The framework supports watershed-scale and transboundary governance to manage inland fisheries, and transdisciplinary projects and teams to ensure relevant and applicable monitoring and research. We discuss concepts of social-ecological feedback and interactions of multiple stressors and factors within/between the social-ecological systems. Moreover, we emphasize that management, monitoring, and research on inland fisheries at the watershed scale are needed to ensure long-term sustainable and resilient fisheries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.06.045","usgsCitation":"Nguyen, V.T., Lynch, A., Young, N., Cowx, I.G., Beard, T., Taylor, W., and Cooke, S., 2016, To manage inland fisheries is to manage at the social-ecological watershed scale: Journal of Environmental Management, v. 181, p. 312-325, https://doi.org/10.1016/j.jenvman.2016.06.045.","productDescription":"14 p.","startPage":"312","endPage":"325","ipdsId":"IP-068004","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":369925,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nguyen, Vivian T. vnguyen@usgs.gov","contributorId":5490,"corporation":false,"usgs":true,"family":"Nguyen","given":"Vivian","email":"vnguyen@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":776689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":169460,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":776690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nathan","contributorId":215062,"corporation":false,"usgs":false,"family":"Young","given":"Nathan","affiliations":[{"id":39169,"text":"University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":776691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":776692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beard, T. Douglas Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":3314,"corporation":false,"usgs":true,"family":"Beard","given":"T. 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Tidal marshes, mudflats, and shallow bays within coastal estuaries link marine, freshwater and terrestrial habitats, and provide economic and recreational benefits to local communities. Climate change effects such as sea-level rise (SLR) are altering these habitats, but we know little about how these areas will change over the next 50–100 years. Our study examined the projected effects of three recent SLR scenarios produced for the West Coast of North America on tidal marshes in California. We compiled physical and biological data, including coastal topography, tidal inundation, plant composition, and sediment accretion to project how SLR may alter these ecosystems in the future. The goal of our research was to provide results that support coastal management and conservation efforts across California. Under a low SLR scenario, all study sites remained vegetated tidal wetlands, with most sites showing little elevation and vegetation change relative to sea level. At most sites, mid SLR projections led to increases in low marsh habitat at the expense of middle and high marsh habitat. Marshes at Morro Bay and Tijuana River Estuary were the most vulnerable to mid SLR with many areas becoming intertidal mudflat. Under a high SLR scenario, most sites were projected to lose vegetated habitat, eventually converting to intertidal mudflats. Our results suggest that California marshes are vulnerable to major habitat shifts under mid or high rates of SLR, especially in the latter part of the century. Loss of vegetated tidal marshes in California due to SLR is expected to impact ecosystem services that are dependent on coastal wetlands such as wildlife habitat, carbon sequestration, improved water quality, and coastal protection from storms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161125","collaboration":"Prepared in cooperation with the Southwest Climate Science Center","usgsCitation":"Thorne, K.M., MacDonald, G.M., Ambrose, R.F., Buffington, K.J., Freeman, C.M., Janousek, C.N., Brown, L.N., Holmquist, J.R., Guntenspergen, G.R., Powelson, K.W., Barnard, P.L., and Takekawa, J.Y., 2016, Effects of climate change on tidal marshes along a latitudinal gradient in California: U.S. Geological Survey Open-File Report 2016-1125, 75 p., https://dx.doi.org/10.3133/ofr20161125.","productDescription":"Report: viii, 75 p.; Appendixes","numberOfPages":"87","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075871","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":326133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1125/coverthb.jpg"},{"id":326134,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125.pdf","text":"Report","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Report PDF"},{"id":326135,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1125/ofr20161125_appendixes.pdf","text":"Appendixes","size":"11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1125 Appendixes PDF"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.91455078125,\n 40.94671366508002\n ],\n [\n -122.51953124999999,\n 35.99578538642032\n ],\n [\n -120.52001953124999,\n 33.61461929233378\n ],\n [\n -117.92724609375,\n 32.41706632846282\n ],\n [\n -116.05957031249999,\n 32.657875736955305\n ],\n [\n -118.65234374999999,\n 34.63320791137959\n ],\n [\n -120.65185546875,\n 36.58024660149866\n ],\n [\n -122.98095703125,\n 41.0130657870063\n ],\n [\n -124.91455078125,\n 40.94671366508002\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Ecological Research Center
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3020 State University Drive East
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http://www.werc.usgs.gov/
Accurate distribution data are critical to the development of conservation and management strategies for imperiled species, particularly for narrow endemics with life history traits that make them vulnerable to extinction. Medionidus walkeri is a rare freshwater mussel endemic to the Suwannee River Basin in southeastern North America. This species was rediscovered in 2012 after a 16-year hiatus between collections and is currently proposed for listing under the Endangered Species Act. Our study fills knowledge gaps regarding changes in distribution and early life history requirements of M. walkeri. Spatiotemporal changes in M. walkeri distribution were displayed using a conservation status assessment map incorporating metadata from 98 historical (1916–1999) and 401 recent (2000–2015) site surveys from museums and field notes representing records for 312 specimens. Recent surveys detected M. walkeri only in the middle Suwannee subbasin (n = 86, 22 locations) and lower Santa Fe subbasin (n = 2, 2 locations), and it appears the species may be extirpated from 67% of historically occupied 10-digit HUCs. In our laboratory experiments, M. walkeri successfully metamorphosed on Percina nigrofasciata (56.2% ± 8.9) and Etheostoma edwini (16.1% ± 7.9) but not on Trinectes maculatus, Lepomis marginatus, Notropis texanus, Noturus leptacanthus, Etheostoma fusiforme, or Gambusia holbrooki. We characterize M. walkeri as a lure-displaying host fish specialist and a long-term brooder (bradytictic), gravid from fall to early summer of the following year. The early life history and distribution data presented here provide the baseline framework for listing decisions and future efforts to conserve and recover the species.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr00752","usgsCitation":"Johnson, N.A., Mcleod, J., Holcomb, J., Rowe, M.T., and Williams, J.D., 2016, Early life history and spatiotemporal changes in distribution of the rediscovered Suwannee moccasinshell Medionidus walkeri (Bivalvia: Unionidae): Endangered Species Research, v. 31, p. 163-175, https://doi.org/10.3354/esr00752.","productDescription":"13 p.","startPage":"163","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074053","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr00752","text":"Publisher Index Page"},{"id":326300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aaff09e4b05e859be0f1f6","contributors":{"authors":[{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mcleod, John 0000-0001-7962-7989 jmmcleod@usgs.gov","orcid":"https://orcid.org/0000-0001-7962-7989","contributorId":173552,"corporation":false,"usgs":true,"family":"Mcleod","given":"John","email":"jmmcleod@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holcomb, Jordan","contributorId":173553,"corporation":false,"usgs":false,"family":"Holcomb","given":"Jordan","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":645069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, Matthew T.","contributorId":150928,"corporation":false,"usgs":false,"family":"Rowe","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":645070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, James D.","contributorId":17690,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":645071,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175165,"text":"fs20163057 - 2016 - The Missouri River Scaphirhynchus albus (pallid sturgeon) effects analysis","interactions":[],"lastModifiedDate":"2016-08-05T11:19:11","indexId":"fs20163057","displayToPublicDate":"2016-08-05T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3057","title":"The Missouri River Scaphirhynchus albus (pallid sturgeon) effects analysis","docAbstract":"The Missouri River Pallid Sturgeon Effects Analysis (EA) was designed to assess how Missouri River management has affected—and may affect—the endangered Scaphirhynchus albus (pallid sturgeon) population. The EA emerged from the recognition that the direction and focus of the Missouri River Recovery Program would benefit from an updated, thorough evaluation of what is known, what is not known, and what needs to be known for effective actions. This fact sheet documents the steps in the EA process and the four core reports, culminating in the 2016 integrative report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163057","collaboration":"Prepared in cooperation with the Missouri River Recovery Program","usgsCitation":"Jacobson, R.B., 2016, The Missouri River Scaphirhynchus albus (pallid sturgeon) effects analysis: U.S. Geological Survey Fact Sheet 2016–3057, 4 p., https://dx.doi.org/10.3133/fs20163057.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-077708","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":326008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3057/fs20163057.pdf","text":"Report","size":"1.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3057"},{"id":326007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3057/coverthb.jpg"}],"country":"United States","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.64672851562499,\n 42.374778361114195\n ],\n [\n -95.43823242187499,\n 39.740986355883564\n ],\n [\n -94.998779296875,\n 39.16414104768742\n ],\n [\n -93.74633789062499,\n 38.993572058209466\n ],\n [\n -93.087158203125,\n 39.172658670429946\n ],\n [\n -92.1807861328125,\n 38.45789034424927\n ],\n [\n -91.5545654296875,\n 38.59540719940386\n ],\n [\n -90.75256347656249,\n 38.496593518947556\n ],\n [\n -90.2471923828125,\n 38.59970036588819\n ],\n [\n -90.1318359375,\n 38.826870521380634\n ],\n [\n -90.32409667968749,\n 38.92095542046727\n ],\n [\n -90.3955078125,\n 38.92095542046727\n ],\n [\n -90.72509765625,\n 38.75408327579141\n ],\n [\n -91.571044921875,\n 38.78406349514289\n ],\n [\n -92.1368408203125,\n 38.796908303484294\n ],\n [\n -92.7685546875,\n 39.2407625100131\n ],\n [\n -93.1146240234375,\n 39.50827899034114\n ],\n [\n -93.4002685546875,\n 39.402244340292775\n ],\n [\n -94.130859375,\n 39.25352462727606\n ],\n [\n -94.59228515625,\n 39.32155002466662\n ],\n [\n -94.7845458984375,\n 39.57182223734374\n ],\n [\n -94.8504638671875,\n 39.9434364619742\n ],\n [\n -95.1361083984375,\n 40.14109012528465\n ],\n [\n -95.6634521484375,\n 40.925964939514294\n ],\n [\n -96.009521484375,\n 42.020732852644294\n ],\n [\n -96.31164550781249,\n 42.54498667313236\n ],\n [\n -96.64672851562499,\n 42.374778361114195\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -101.6015625,\n 47.754097979680026\n ],\n [\n -102.83203125,\n 48.28319289548349\n ],\n [\n -103.6669921875,\n 48.4146186174932\n ],\n [\n -105.77636718749999,\n 48.40003249610685\n ],\n [\n -108.06152343749999,\n 48.180738507303836\n ],\n [\n -109.3798828125,\n 47.76886840424207\n ],\n [\n -108.80859375,\n 47.025206001585396\n ],\n [\n -106.67724609375,\n 47.3834738721015\n ],\n [\n -105.6884765625,\n 47.754097979680026\n ],\n [\n -104.853515625,\n 47.82790816919327\n ],\n [\n -102.919921875,\n 47.724544549099676\n ],\n [\n -102.65625,\n 47.14489748555398\n ],\n [\n -101.513671875,\n 47.26432008025478\n ],\n [\n -100.986328125,\n 47.27922900257082\n ],\n [\n -100.37109375,\n 47.47266286861342\n ],\n [\n -100.5029296875,\n 47.97521412341618\n ],\n [\n -100.78857421875,\n 48.03401915864286\n ],\n [\n -101.6015625,\n 47.754097979680026\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
573-875-5399
http://www.cerc.usgs.gov/
Previous efforts to relate winter-ground precipitation to subsequent reproductive success as measured by the ratio of juveniles to adults in the autumn failed to account for increased vulnerability of juvenile ducks to hunting and uncertainty in the estimated age ratio. Neglecting increased juvenile vulnerability will positively bias the mean productivity estimate, and neglecting increased vulnerability and estimation uncertainty will positively bias the year-to-year variance in productivity because raw age ratios are the product of sampling variation, the year-specific vulnerability, and year-specific reproductive success. Therefore, we estimated the effects of cumulative winter precipitation in the California Central Valley and the Mississippi Alluvial Valley on pintail (Anas acuta) and mallard (Anas platyrhnchos) reproduction, respectively, using hierarchical Bayesian methods to correct for sampling bias in productivity estimates and observation error in covariates. We applied the model to a hunter-collected parts survey implemented by the United States Fish and Wildlife Service and band recoveries reported to the United States Geological Survey Bird Banding Laboratory using data from 1961 to 2013. We compared our results to previous estimates that used simple linear regression on uncorrected age ratios from a smaller subset of years in pintail (1961–1985). Like previous analyses, we found large and consistent effects of population size and wetland conditions in prairie Canada on mallard productivity, and large effects of population size and mean latitude of the observed breeding population on pintail productivity. Unlike previous analyses, we report a large amount of uncertainty in the estimated effects of wintering-ground precipitation on pintail and mallard productivity, with considerable uncertainty in the sign of the estimated main effect, although the posterior medians of precipitation effects were consistent with past studies. We found more consistent estimates in the sign of an interaction effect between population size and precipitation, suggesting that wintering-ground precipitation has a larger effect in years of high population size, especially for pintail. When we used the estimated effects in a population model to derive a sustainable harvest and population size projection (i.e., a yield curve), there was considerable uncertainty in the effect of increased or decreased wintering-ground precipitation on sustainable harvest potential and population size. These results suggest that the mechanism of cross-seasonal effects between winter habitat and reproduction in ducks occurs through a reduction in the strength of density dependence in years of above-average wintering-ground precipitation. We suggest additional investigation of the underlying mechanisms and that habitat managers and decision-makers consider the level of uncertainty in these estimates when attempting to integrate habitat management and harvest management decisions. Collection of annual data on the status of wintering-ground habitat in a rigorous sampling framework would likely be the most direct way to improve understanding of mechanisms and inform management.
","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21124","usgsCitation":"Osnas, E.E., Zhao, Q., Runge, M.C., and Boomer, G., 2016, Cross-seasonal effects on waterfowl productivity: Implications under climate change: Journal of Wildlife Management, v. 80, no. 7, p. 1227-1241, https://doi.org/10.1002/jwmg.21124.","productDescription":"15 p.","startPage":"1227","endPage":"1241","ipdsId":"IP-070276","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57d13a39e4b0571647cf8db5","contributors":{"authors":[{"text":"Osnas, Erik E. 0000-0001-9528-0866 eosnas@usgs.gov","orcid":"https://orcid.org/0000-0001-9528-0866","contributorId":5586,"corporation":false,"usgs":true,"family":"Osnas","given":"Erik","email":"eosnas@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhao, Qing","contributorId":174370,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":648121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":648119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boomer, G Scott","contributorId":172150,"corporation":false,"usgs":false,"family":"Boomer","given":"G Scott","affiliations":[{"id":26994,"text":"Div. of Migratory Bird Management, U.S. Fish and Wildlife Service, MD","active":true,"usgs":false}],"preferred":false,"id":648122,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174015,"text":"ds1006 - 2016 - Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015","interactions":[],"lastModifiedDate":"2025-05-13T16:47:43.892357","indexId":"ds1006","displayToPublicDate":"2016-08-04T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1006","title":"Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015","docAbstract":"Scientists from the United States Geological Survey, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey Pacific Coastal and Marine Science Center, and students from the University of Hawaii at Manoa collected sediment cores, sediment surface grab samples, ground-penetrating radar (GPR) and Differential Global Positioning System (DGPS) data from within the Edwin B. Forsythe National Wildlife Refuge–Holgate Unit located on the southern end of Long Beach Island, New Jersey, in April 2015 (FAN 2015-611-FA). The study’s objective was to identify washover deposits in the stratigraphic record to aid in understanding barrier island evolution. This report is an archive of GPR and DGPS data collected from Long Beach Island in 2015. Data products, including raw GPR and processed DGPS data, elevation corrected GPR profiles, and accompanying Federal Geographic Data Committee metadata can be downloaded from the Data Downloads page.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1006","usgsCitation":"Zaremba, N.J., Smith, K.E.L., Bishop, J.M., and Smith, C.G., 2016, Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015: U.S. Geological Survey Data Series 1006, https://dx.doi.org/10.3133/ds1006.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073028","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325529,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325528,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/1006/index.html"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.18243408203125,\n 39.7789912112384\n ],\n [\n -74.959716796875,\n 39.036252959636606\n ],\n [\n -75.0091552734375,\n 38.91881851059804\n ],\n [\n -74.79766845703125,\n 38.905995699991145\n ],\n [\n -74.68231201171875,\n 39.10875135935859\n ],\n [\n -74.54498291015625,\n 39.26203141523749\n ],\n [\n -74.2840576171875,\n 39.459523110465156\n ],\n [\n -74.03411865234375,\n 39.96870074491696\n ],\n [\n -74.18243408203125,\n 39.7789912112384\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502–8000
http://coastal.er.usgs.gov
As global agriculture intensifies, cultural knowledge of wetland utilization has eroded as natural resources become more stressed, and marginal farmers move away from the land. The excellent paper by Fawzi et al. (2016) documents a particularly poignant case of traditional knowledge loss among the Marsh Arab women of Iraq. Through interviews, the authors document the breakdown of skill transfer from the older to younger generation of women. The authors link the loss of their cultural knowledge with the loss of wetlands in the region. Women no longer can help provide for their families using wetland products, and along with that, their ancient knowledge of plant usage is lost. These ancient skills included medicinal uses, and reed harvesting for weaving and water buffalo fodder. As, the majority of the Mesopotamian Marshes have dried, this way of life is being forgotten (Fawzi et al. 2015). The global tragedy is that while the careful alliance of wetlands and people have sustained human cultures for millennia, degraded wetlands lose their ability to provide these services (Maltby 1980).
","largerWorkTitle":"Ecosystem Health and Sustainability","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ehs2.1223","usgsCitation":"Middleton, B.A., 2016, Broken connections of wetland cultural knowledge: Ecosystem Health and Sustainability, v. 2, no. 7, e01223; 2 p., https://doi.org/10.1002/ehs2.1223.","productDescription":"e01223; 2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074554","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ehs2.1223","text":"Publisher Index Page"},{"id":326115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-19","publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d846743a","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":644752,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70175476,"text":"70175476 - 2016 - Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","interactions":[],"lastModifiedDate":"2018-04-24T13:42:14","indexId":"70175476","displayToPublicDate":"2016-08-04T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2126,"text":"JAWRA","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA","docAbstract":"We developed Columbia River streamflow reconstructions using a network of existing, new, and updated tree-ring records sensitive to the main climatic factors governing discharge. Reconstruction quality is enhanced by incorporating tree-ring chronologies where high snowpack limits growth, which better represent the contribution of cool-season precipitation to flow than chronologies from trees positively sensitive to hydroclimate alone. The best performing reconstruction (back to 1609 CE) explains 59% of the historical variability and the longest reconstruction (back to 1502 CE) explains 52% of the variability. Droughts similar to the high-intensity, long-duration low flows observed during the 1920s and 1940s are rare, but occurred in the early 1500s and 1630s-1640s. The lowest Columbia flow events appear to be reflected in chronologies both positively and negatively related to streamflow, implying low snowpack and possibly low warm-season precipitation. High flows of magnitudes observed in the instrumental record appear to have been relatively common, and high flows from the 1680s to 1740s exceeded the magnitude and duration of observed wet periods in the late-19th and 20th Century. Comparisons between the Columbia River reconstructions and future projections of streamflow derived from global climate and hydrologic models show the potential for increased hydrologic variability, which could present challenges for managing water in the face of competing demands
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12442","usgsCitation":"Littell, J.S., Pederson, G.T., Gray, S., Tjoelker, M., Hamlet, A.F., and Woodhouse, C.A., 2016, Reconstructions of Columbia River streamflow from tree-ring chronologies in the Pacific Northwest, USA: JAWRA, v. 52, no. 5, p. 1121-1141, https://doi.org/10.1111/1752-1688.12442.","productDescription":"21 p.","startPage":"1121","endPage":"1141","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063792","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":470681,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12442","text":"External Repository"},{"id":326463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.25634765624999,\n 53.370220573956786\n ],\n [\n -120.43212890625,\n 51.6180165487737\n ],\n [\n -120.87158203125,\n 49.35375571830993\n ],\n [\n -122.08007812499999,\n 46.6795944656402\n ],\n [\n -122.958984375,\n 44.55916341529184\n ],\n [\n -123.74999999999999,\n 42.48830197960227\n ],\n [\n -121.904296875,\n 41.820455096140314\n ],\n [\n -119.77294921874999,\n 39.402244340292775\n ],\n [\n -117.48779296875,\n 39.7240885773337\n ],\n [\n -113.818359375,\n 41.32732632036622\n ],\n [\n -111.90673828125,\n 41.80407814427237\n ],\n [\n -110.0390625,\n 42.342305278572816\n ],\n [\n -108.34716796875,\n 43.14909399920127\n ],\n [\n -108.87451171875,\n 45.058001435398296\n ],\n [\n -110.32470703125,\n 46.81509864599243\n ],\n [\n -113.466796875,\n 49.42526716083716\n ],\n [\n -114.32373046875,\n 50.24720490139267\n ],\n [\n -120.25634765624999,\n 53.370220573956786\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-04","publicationStatus":"PW","scienceBaseUri":"57aef346e4b0fc09faae03ed","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280 jlittell@usgs.gov","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":4428,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","email":"jlittell@usgs.gov","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":645378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":645379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Stephen T. sgray@usgs.gov","contributorId":221,"corporation":false,"usgs":true,"family":"Gray","given":"Stephen T.","email":"sgray@usgs.gov","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":645380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tjoelker, Michael","contributorId":173658,"corporation":false,"usgs":false,"family":"Tjoelker","given":"Michael","email":"","affiliations":[{"id":13194,"text":"School of Environmental and Forest Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":645381,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamlet, Alan F.","contributorId":15529,"corporation":false,"usgs":true,"family":"Hamlet","given":"Alan","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":645382,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":645383,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173845,"text":"sir20165081 - 2016 - Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","interactions":[],"lastModifiedDate":"2016-08-04T16:13:43","indexId":"sir20165081","displayToPublicDate":"2016-08-04T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5081","title":"Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013","docAbstract":"In 2013, the U.S. Geological Survey initiated a study to update regional skew, annual exceedance probability discharges, and regional regression equations used to estimate annual exceedance probability discharges for ungaged locations on streams in the study area with the use of recent geospatial data, new analytical methods, and available annual peak-discharge data through the 2013 water year. An analysis of regional skew using Bayesian weighted least-squares/Bayesian generalized-least squares regression was performed for Arkansas, Louisiana, and parts of Missouri and Oklahoma. The newly developed constant regional skew of -0.17 was used in the computation of annual exceedance probability discharges for 281 streamgages used in the regional regression analysis. Based on analysis of covariance, four flood regions were identified for use in the generation of regional regression models. Thirty-nine basin characteristics were considered as potential explanatory variables, and ordinary least-squares regression techniques were used to determine the optimum combinations of basin characteristics for each of the four regions. Basin characteristics in candidate models were evaluated based on multicollinearity with other basin characteristics (variance inflation factor < 2.5) and statistical significance at the 95-percent confidence level (p ≤ 0.05). Generalized least-squares regression was used to develop the final regression models for each flood region. Average standard errors of prediction of the generalized least-squares models ranged from 32.76 to 59.53 percent, with the largest range in flood region D. Pseudo coefficients of determination of the generalized least-squares models ranged from 90.29 to 97.28 percent, with the largest range also in flood region D. The regional regression equations apply only to locations on streams in Arkansas where annual peak discharges are not substantially affected by regulation, diversion, channelization, backwater, or urbanization. The applicability and accuracy of the regional regression equations depend on the basin characteristics measured for an ungaged location on a stream being within range of those used to develop the equations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165081","collaboration":"Prepared in cooperation with the Arkansas State Highway and Transportation Department and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Wagner, D.M., Krieger, J.D., and Veilleux, A.G., 2016, Methods for estimating annual exceedance probability discharges for streams in Arkansas, based on data through water year 2013: U.S. Geological Survey Scientific Investigations Report 2016–5081, 136 p., https://dx.doi.org/10.3133/sir20165081.","productDescription":"Report: ix, 136 p.; Appendix Tables","numberOfPages":"149","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070399","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science 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U.S. Geological Survey
401 Hardin Road
Little Rock, Arkansas 72211–3528
http://ar.water.usgs.gov
A binational effort to reintroduce Atlantic salmon (Salmo salar) that were extirpated in the Lake Ontario ecosystem for over a century is currently being undertaken by the New York State Department of Environmental Conservation and the Ontario Ministry of Natural Resources. Reintroduction actions include the release of several life stages including fry, fall fingerlings, and yearling smolts. In this study we describe the diet of recently released fall fingerling Atlantic salmon in a tributary of the Salmon River, New York. A specific objective of the study was to determine if juvenile Atlantic salmon would utilize the high caloric food source provided by introduced Pacific salmonids (Oncorhynchus spp.) that includes eggs and carcass flesh. Salmon eggs and carcass flesh comprised 20.5% of the October to January diet in 2013–14 and 23.9% in 2014–15. The consumption of steelhead (O. mykiss) eggs was a major part of the diet in April in both 2014 (54.1%) and 2015 (33.2%). This study documented that recently released Atlantic salmon will consume the high caloric food material provided by Pacific salmonids and that the consumption of this material extends for several months.
","language":"English","publisher":"Elsevier","publisherLocation":"Oxford, UK","doi":"10.1016/j.jglr.2015.12.004","usgsCitation":"Johnson, J.H., Chalupnicki, M.A., Abbett, R., and Verdoliva, F., 2016, Predation on Pacific salmonid eggs and carcass's by subyearling Atlantic salmon in a tributary of Lake Ontario: Journal of Great Lakes Research, v. 42, no. 2, p. 472-475, https://doi.org/10.1016/j.jglr.2015.12.004.","productDescription":"4 p.","startPage":"472","endPage":"475","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071228","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","county":"Oswego","otherGeospatial":"Beaver Dam Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.9985899925232,\n 43.50854982248691\n ],\n [\n -75.9985899925232,\n 43.50953026091664\n ],\n [\n -75.99346160888672,\n 43.50953026091664\n ],\n [\n -75.99346160888672,\n 43.50854982248691\n ],\n [\n -75.9985899925232,\n 43.50854982248691\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a4591ce4b0c4d7d8467440","contributors":{"authors":[{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc A. mchalupnicki@usgs.gov","contributorId":3236,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","email":"mchalupnicki@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":644722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbett, Ross 0000-0001-6276-5541 rabbett@usgs.gov","orcid":"https://orcid.org/0000-0001-6276-5541","contributorId":4359,"corporation":false,"usgs":true,"family":"Abbett","given":"Ross","email":"rabbett@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verdoliva, Francis","contributorId":150381,"corporation":false,"usgs":false,"family":"Verdoliva","given":"Francis","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":644724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175287,"text":"70175287 - 2016 - Adaptive management for improving species conservation across the captive-wild spectrum","interactions":[],"lastModifiedDate":"2016-09-22T13:08:34","indexId":"70175287","displayToPublicDate":"2016-08-04T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive management for improving species conservation across the captive-wild spectrum","docAbstract":"Conservation of endangered species increasingly envisages complex strategies that integrate captive and wild management actions. Management decisions in this context must be made in the face of uncertainty, often with limited capacity to collect information. Adaptive management (AM) combines management and monitoring, with the aim of updating knowledge and improving decision-making over time. We provide a guide for managers who may realize the potential of AM, but are unsure where to start. The urgent need for iterative management decisions, the existence of uncertainty, and the opportunity for learning offered by often highly-controlled captive environments create favorable conditions for AM. However, experiments and monitoring may be complicated by small sample sizes, and the ability to control the system, including stochasticity and observability, may be limited toward the wild end of the spectrum. We illustrate the key steps to implementing AM in threatened species management using four case studies, including the management of captive programs for cheetah (Acinonyx jubatus) and whooping cranes (Grus americana), of a translocation protocol for Arizona cliffroses Purshia subintegra and of ongoing supplementary feeding of reintroduced hihi (Notiomystis cincta) populations. For each case study, we explain (1) how to clarify whether the decision can be improved by learning (i.e. it is iterative and complicated by uncertainty) and what the management objectives are; (2) how to articulate uncertainty via alternative, testable hypotheses such as competing models or parameter distributions; (3) how to formally define how additional information can be collected and incorporated in future management decisions.
","language":"English","publisher":"Elsevier","publisherLocation":"Kidlington, Oxford","doi":"10.1016/j.biocon.2016.04.026","usgsCitation":"Canessa, S., Guillera-Arroita, G., Lahoz-Monfort, J.J., Southwell, D.M., Armstrong, D., Chades, I., Lacy, R., and Converse, S.J., 2016, Adaptive management for improving species conservation across the captive-wild spectrum: Biological Conservation, v. 199, p. 123-131, https://doi.org/10.1016/j.biocon.2016.04.026.","productDescription":"9 p.","startPage":"123","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073244","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":488512,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000379559600017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=d4d813f4571fa7d6246bdc0dfeca3a1c","text":"External Repository"},{"id":326093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"199","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a4591be4b0c4d7d8467438","contributors":{"authors":[{"text":"Canessa, Stefano","contributorId":149295,"corporation":false,"usgs":false,"family":"Canessa","given":"Stefano","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guillera-Arroita, Gurutzeta","contributorId":149296,"corporation":false,"usgs":false,"family":"Guillera-Arroita","given":"Gurutzeta","email":"","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lahoz-Monfort, Jose J.","contributorId":139965,"corporation":false,"usgs":false,"family":"Lahoz-Monfort","given":"Jose","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":644702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Southwell, Darren M","contributorId":149297,"corporation":false,"usgs":false,"family":"Southwell","given":"Darren","email":"","middleInitial":"M","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":644703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":644704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chades, Iadine","contributorId":149298,"corporation":false,"usgs":false,"family":"Chades","given":"Iadine","email":"","affiliations":[{"id":12494,"text":"CSIRO Land and Water, Australia","active":true,"usgs":false}],"preferred":false,"id":644705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lacy, Robert C","contributorId":149299,"corporation":false,"usgs":false,"family":"Lacy","given":"Robert C","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":644706,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":644699,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70175339,"text":"70175339 - 2016 - A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A","interactions":[],"lastModifiedDate":"2016-08-05T12:29:58","indexId":"70175339","displayToPublicDate":"2016-08-04T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A","docAbstract":"This paper demonstrates geospatial modification of the USGS methodology for assessing geologic CO2 storage resources, and was applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin. The study provides detailed evaluation of porous intervals within these reservoirs and utilizes GIS to evaluate the potential spatial distribution of reservoir parameters and volume of CO2 that can be stored. This study also shows that incorporating spatial variation of parameters using detailed and robust datasets may improve estimates of storage resources when compared to applying uniform values across the study area derived from small datasets, like many assessment methodologies. Geospatially derived estimates of storage resources presented here (Pre-Punta Gorda Composite = 105,570 MtCO2; Dollar Bay = 24,760 MtCO2) were greater than previous assessments, which was largely attributed to the fact that detailed evaluation of these reservoirs resulted in higher estimates of porosity and net-porous thickness, and areas of high porosity and thick net-porous intervals were incorporated into the model, likely increasing the calculated volume of storage space available for CO2 sequestration. The geospatial method for evaluating CO2 storage resources also provides the ability to identify areas that potentially contain higher volumes of storage resources, as well as areas that might be less favorable.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2016.06.010","usgsCitation":"Roberts-Ashby, T., and Ashby, B.N., 2016, A method for examining the geospatial distribution of CO2 storage resources applied to the Pre-Punta Gorda Composite and Dollar Bay reservoirs of the South Florida Basin, U.S.A: Marine and Petroleum Geology, v. 77, p. 141-159, https://doi.org/10.1016/j.marpetgeo.2016.06.010.","productDescription":"18 p.","startPage":"141","endPage":"159","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073465","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2016.06.010","text":"Publisher Index Page"},{"id":326136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"South Florida Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.94677734375,\n 28.17855984939698\n ],\n [\n -80.419921875,\n 28.430052892335723\n ],\n [\n -79.70581054687499,\n 26.990618722964737\n ],\n [\n -79.617919921875,\n 25.21488107113259\n ],\n [\n -82.4853515625,\n 24.156778233303413\n ],\n [\n -82.99072265625,\n 24.87646991083154\n ],\n [\n -82.803955078125,\n 25.96792222903405\n ],\n [\n -82.94677734375,\n 28.17855984939698\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"77","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a5b8b0e4b0ebae89b7881b","contributors":{"authors":[{"text":"Roberts-Ashby, Tina 0000-0003-2940-1740 troberts-ashby@usgs.gov","orcid":"https://orcid.org/0000-0003-2940-1740","contributorId":173458,"corporation":false,"usgs":true,"family":"Roberts-Ashby","given":"Tina","email":"troberts-ashby@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":644776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashby, Brandon N.","contributorId":173459,"corporation":false,"usgs":false,"family":"Ashby","given":"Brandon","email":"","middleInitial":"N.","affiliations":[{"id":27233,"text":"Washington Gas / WGL Holdings, Inc., Springfield, VA 22151","active":true,"usgs":false}],"preferred":false,"id":644777,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174887,"text":"sir20165103 - 2016 - Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","interactions":[],"lastModifiedDate":"2016-09-06T09:04:14","indexId":"sir20165103","displayToPublicDate":"2016-08-03T19:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5103","title":"Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi","docAbstract":"Statistical models were developed to estimate natural streamflow under low-flow conditions for streams with existing streamflow data at measurement sites on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi. Streamflow statistics used to describe the low-flow characteristics are flow-duration discharges that are equaled or exceeded between 50 and 95 percent of the time during the 30-year base period 1984–2013. Record-augmentation techniques were applied to develop statistical models relating concurrent streamflow data at the measurement sites and long-term data from nearby continuous-record streamflow-gaging stations that were in operation during the base period and were selected as index stations. Existing data and subsequent low-flow analyses of the available data help to identify streams in under-represented geographic areas and hydrogeologic settings where additional data collection is suggested.
Low-flow duration discharges were estimated for 107 measurement sites (including long-term and short-term continuous-record streamflow-gaging stations, and partial-record stations) and 27 index stations. The adequacy of statistical models was evaluated with correlation coefficients and modified Nash-Sutcliff coefficients of efficiency, and a majority of the low-flow duration-discharge estimates are satisfactory based on these regression statistics.
Molokaʻi and Hawaiʻi have the fewest number of measurement sites (that are not located on ephemeral stream reaches) at which flow-duration discharges were estimated, which can be partially explained by the limited number of index stations available on these islands that could be used for record augmentation. At measurement sites on some tributary streams, low-flow duration discharges could not be estimated because no adequate correlations could be developed with the index stations. These measurement sites are located on streams where duration-discharge estimates are available at long-term stations at other locations on the main stream channel to provide at least some definition of low-flow characteristics on that stream. In terms of general natural streamflow data availability, data are scarce in the leeward areas for all five islands as many leeward streams are dry or have minimal flow. Other under-represented areas include central Oʻahu, central Maui, and southeastern Maui.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165103","collaboration":"Prepared in cooperation with the State of Hawaiʻi Commission on Water Resource Management, State of Hawaiʻi Department of Hawaiian Home Lands, and Office of Hawaiian Affairs","usgsCitation":"Cheng, C.L., 2016, Low-flow characteristics for streams on the Islands of Kauaʻi, Oʻahu, Molokaʻi, Maui, and Hawaiʻi, State of Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2016-5103, 36 p., https://dx.doi.org/10.3133/sir20165103.","productDescription":"Report: v, 36 p.; Appendixes 1-2","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065440","costCenters":[{"id":525,"text":"Pacific Islands Water Science 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U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
http://hi.water.usgs.gov/
Understanding groundwater-budget components, particularly groundwater recharge, is important to sustainably manage both groundwater and surface water supplies in the Colorado River basin now and in the future. This study quantifies projected changes in upper Colorado River basin (UCRB) groundwater recharge from recent historical (1950–2015) through future (2016–2099) time periods, using a distributed-parameter groundwater recharge model with downscaled climate data from 97 Coupled Model Intercomparison Project Phase 5 climate projections. Simulated future groundwater recharge in the UCRB is generally expected to be greater than the historical average in most decades. Increases in groundwater recharge in the UCRB are a consequence of projected increases in precipitation, offsetting reductions in recharge that would result from projected increased temperatures.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL069714","usgsCitation":"Tillman, F.D., Gangopadhyay, S., and Pruitt, T., 2016, Changes in groundwater recharge under projected climate in the upper Colorado River basin: Geophysical Research Letters, v. 43, no. 13, p. 6968-6974, https://doi.org/10.1002/2016GL069714.","productDescription":"7 p.","startPage":"6968","endPage":"6974","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075002","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":326086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.95068359374999,\n 36.527294814546245\n ],\n [\n -111.95068359374999,\n 42.032974332441405\n ],\n [\n -106.3916015625,\n 42.032974332441405\n ],\n [\n -106.3916015625,\n 36.527294814546245\n ],\n [\n -111.95068359374999,\n 36.527294814546245\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"13","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-08","publicationStatus":"PW","scienceBaseUri":"57a307a7e4b006cb455561ad","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gangopadhyay, Subhrendu 0000-0003-3864-8251","orcid":"https://orcid.org/0000-0003-3864-8251","contributorId":173439,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":644666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pruitt, Tom 0000-0002-3543-1324","orcid":"https://orcid.org/0000-0002-3543-1324","contributorId":173440,"corporation":false,"usgs":false,"family":"Pruitt","given":"Tom","email":"","affiliations":[{"id":27228,"text":"Reclamation","active":true,"usgs":false}],"preferred":false,"id":644667,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175281,"text":"70175281 - 2016 - First detection of bat white-nose syndrome in western North America","interactions":[],"lastModifiedDate":"2018-04-02T10:06:05","indexId":"70175281","displayToPublicDate":"2016-08-03T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5160,"text":"mSphere","active":true,"publicationSubtype":{"id":10}},"title":"First detection of bat white-nose syndrome in western North America","docAbstract":"White-nose syndrome (WNS) is an emerging fungal disease of bats caused by Pseudogymnoascus destructans. Since it was first detected near Albany, NY, in 2006, the fungus has spread across eastern North America, killing unprecedented numbers of hibernating bats. The devastating impacts of WNS on Nearctic bat species are attributed to the likely introduction of P. destructans from Eurasia to naive host populations in eastern North America. Since 2006, the disease has spread in a gradual wavelike pattern consistent with introduction of the pathogen at a single location. Here, we describe the first detection of P. destructans in western North America in a little brown bat (Myotis lucifugus) from near Seattle, WA, far from the previously recognized geographic distribution of the fungus. Whole-genome sequencing and phylogenetic analyses indicated that the isolate of P. destructans from Washington grouped with other isolates of a presumed clonal lineage from the eastern United States. Thus, the occurrence of P. destructans in Washington does not likely represent a novel introduction of the fungus from Eurasia, and the lack of intensive surveillance in the western United States makes it difficult to interpret whether the occurrence of P. destructans in the Pacific Northwest is disjunct from that in eastern North America. Although there is uncertainty surrounding the impacts of WNS in the Pacific Northwest, the presence of the pathogen in western North America could have major consequences for bat conservation.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mSphere.00148-16","usgsCitation":"Lorch, J.M., Palmer, J.M., Lindner, D.L., Ballmann, A., George, K., Griffin, K.M., Knowles, S., Huckabee, J.R., Haman, K.H., Anderson, C.D., Becker, P.A., Buchanan, J.B., Foster, J., and Blehert, D.S., 2016, First detection of bat white-nose syndrome in western North America: mSphere, v. 1, no. 4, e00148-16; 5 p., https://doi.org/10.1128/mSphere.00148-16.","productDescription":"e00148-16; 5 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076372","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470685,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msphere.00148-16","text":"Publisher Index 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Panama","interactions":[],"lastModifiedDate":"2016-09-02T14:45:49","indexId":"70176243","displayToPublicDate":"2016-08-03T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Formation of the Isthmus of Panama","docAbstract":"The formation of the Isthmus of Panama stands as one of the greatest natural events of the Cenozoic, driving profound biotic transformations on land and in the oceans. Some recent studies suggest that the Isthmus formed many millions of years earlier than the widely recognized age of approximately 3 million years ago (Ma), a result that if true would revolutionize our understanding of environmental, ecological, and evolutionary change across the Americas. To bring clarity to the question of when the Isthmus of Panama formed, we provide an exhaustive review and reanalysis of geological, paleontological, and molecular records. These independent lines of evidence converge upon a cohesive narrative of gradually emerging land and constricting seaways, with formation of the Isthmus of Panama sensu stricto around 2.8 Ma. The evidence used to support an older isthmus is inconclusive, and we caution against the uncritical acceptance of an isthmus before the Pliocene.
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In deep-sea fishes, the prevalence of parasitism remains poorly understood. Knowledge of ectoparasitism, in particular, is limited because collection methods often cause dislodgment of ectoparasites from their hosts. High-definition video collected during 43 remotely operated vehicle surveys (2013–2014) provided the opportunity to examine ectoparasitism on fishes across habitats (open slope, canyon, seamount, cold seep) and depths (494–4689 m) off the northeastern U.S., while providing high-resolution images and valuable observations of fish behavior. Only 9% (n = 125 individuals) of all observed fishes (25 species) were confirmed with ectoparasites, but higher percentages (∼33%) were observed for some of the most abundant fish species (e.g., Antimora rostrata). Ectoparasites included two copepod families (Lernaeopodidae, Sphyriidae) that infected four host species, two isopod families (Cymothoidae, Aegidae) that infected three host species, and one isopod family (Gnathiidae) that infected 19 host species. Hyperparasitism was also observed. As host diversity declined with depth, ectoparasite diversity declined; only gnathiids were observed at depths down to 3260 m. Thus, gnathiids appear to be the most successful group to infect a diversity of fishes across a broad depth range in the deep sea. For three dominant fishes (A. rostrata, Nezumia bairdii, Synaphobranchus spp.), the abundance and intensity of ectoparasitism peaked in different depths and habitats depending on the host species examined. Notably, gnathiid infections were most intense on A. rostrata, particularly in submarine canyons, suggesting that these habitats may increase ectoparasite infections. Although ectoparasitism is often overlooked in deep-sea benthic communities, our results demonstrate that it occurs widely across a variety of habitats, depths, and locations and is a significant component of deep-sea biodiversity.
","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ijppaw.2016.07.004","usgsCitation":"Quattrini, A., and Demopoulos, A.W., 2016, Ectoparasitism on deep-sea fishes in the western North Atlantic: In situ observations from ROV surveys: International Journal for Parasitology: Parasites and Wildlife, v. 5, no. 3, https://doi.org/10.1016/j.ijppaw.2016.07.004.","productDescription":"12 p.","startPage":"217","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075420","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2016.07.004","text":"Publisher Index Page"},{"id":326067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"New England Seamount Chain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75,\n 37\n ],\n [\n -75,\n 42\n ],\n [\n -62,\n 42\n ],\n [\n -62,\n 37\n ],\n [\n -75,\n 37\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"5","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a307a7e4b006cb455561af","contributors":{"authors":[{"text":"Quattrini, Andrea aquattrini@usgs.gov","contributorId":149599,"corporation":false,"usgs":true,"family":"Quattrini","given":"Andrea","email":"aquattrini@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":644608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":644607,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173919,"text":"ofr20161100 - 2016 - Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","interactions":[],"lastModifiedDate":"2017-02-07T15:35:55","indexId":"ofr20161100","displayToPublicDate":"2016-08-03T12:00:00","publicationYear":"2016","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":"2016-1100","title":"Preliminary results from exploratory sampling of wells for the California oil, gas, and groundwater program, 2014–15","docAbstract":"In 2014 and 2015, the U.S. Geological Survey (USGS) sampled water wells in the Los Angeles Basin and southern San Joaquin Valley, California, and oil wells in the San Joaquin Valley for analysis of multiple chemical, isotopic, and groundwater-age tracers. The purpose of this reconnaissance sampling was to evaluate the utility of tracers for assessing the effects of oil and gas production activities on groundwater quality in California. The study was done in cooperation with the California State Water Resources Control Board. Results of the study are intended to help design a regional groundwater-monitoring program to be implemented as part of California Senate Bill 4 (SB 4 statutes of 2013). The regional monitoring program plans to assess the effects of oil and gas production activities on groundwater quality and to provide a regional context for local monitoring of the groundwater-quality effects from well-stimulation treatments, which are techniques used to improve oil and gas production by increasing their rate of flow to the well. California SB 4 mandates that this local monitoring is to be done by oil-well operators in accordance with monitoring criteria established by the State Water Board.
\nThis report evaluates the utility of the chemical, isotopic, and groundwater-age tracers for assessing sources of salinity, methane, and petroleum hydrocarbons in groundwater overlying or near several California oil fields. Tracers of dissolved organic carbon in
oil-field-formation water are also discussed. Tracer data for samples collected from 51 water wells and 4 oil wells are examined.
Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
In the 21st century, accelerated sea-level rise and continued coastal development are expected to greatly alter coastal landscapes across the globe. Historically, many coastal ecosystems have responded to sea-level fluctuations via horizontal and vertical movement on the landscape. However, anthropogenic activities, including urbanization and the construction of flood-prevention infrastructure, can produce barriers that impede ecosystem migration. Here we show where tidal saline wetlands have the potential to migrate landward along the northern Gulf of Mexico coast, one of the most sea-level rise sensitive and wetland-rich regions of the world. Our findings can be used to identify migration corridors and develop sea-level rise adaptation strategies to help ensure the continued availability of wetland-associated ecosystem goods and services.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1282","usgsCitation":"Enwright, N.M., Griffith, K.T., and Osland, M.J., 2016, Barriers to and opportunities for landward migration of coastal wetlands with sea-level rise: Frontiers in Ecology and the Environment, v. 14, no. 6, p. 307-316, https://doi.org/10.1002/fee.1282.","productDescription":"10 p.","startPage":"307","endPage":"316","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070167","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":326034,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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0000-0002-7887-3261 enwrightn@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":4880,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","email":"enwrightn@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":644554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Kereen T. ktgriffith@usgs.gov","contributorId":149328,"corporation":false,"usgs":false,"family":"Griffith","given":"Kereen","email":"ktgriffith@usgs.gov","middleInitial":"T.","affiliations":[{"id":17706,"text":"Griffith Consulting Services at U.S. Geological Survey, National Wetlands Research Center","active":true,"usgs":false}],"preferred":false,"id":644555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":644556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175367,"text":"70175367 - 2016 - Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand","interactions":[],"lastModifiedDate":"2016-12-16T12:09:43","indexId":"70175367","displayToPublicDate":"2016-08-03T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand","docAbstract":"The Taupo Volcanic Zone (TVZ), New Zealand, encompasses a wide variety of arc-related strata, although most of its small-volume (non-caldera-forming) eruptions are poorly-exposed and extensively hydrothermally altered. The Mihi Breccia is a stratigraphic sequence consisting of interbedded rhyolitic pyroclastic flows and lacustrine sediments with eruption ages of 281 ± 18 to at least 239 ± 6 ka (uncertainties at 2σ). In contrast to other small-volume rhyolitic eruptions within the TVZ, Mihi Breccia is relatively well-exposed within the Paeroa fault block, and contains minimal hydrothermal alteration. Pyroclastic flow characteristics and textures including: 1) breadcrusted juvenile clasts, 2) lack of welding, 3) abundant ash-rich matrix, 4) lack of fiamme and eutaxitic textures, 5) lack of thermal oxidation colors, 6) lack of cooling joints, 7) exclusive lacustrine sediment lithic clasts, and 8) interbedding with lacustrine sediments, all indicating that Mihi Breccia strata originated in a paleo-lake system. This ephemeral paleo-lake system is inferred to have lasted for > 50 kyr (based on Mihi Breccia age constraints), and referred to as Huka Lake. Mihi Breccia pyroclastic flow juvenile clast geochemistry and petrography correspond with similar-aged (264 ± 8, 263 ± 10, and 247 ± 4 ka) intra-caldera rhyolite domes filling the Reporoa caldera (source of the 281 ± 81 Kaingaroa Formation ignimbrite). These exposed intra-caldera rhyolite domes (as well as geophysically inferred subsurface domes) are proposed to be source vents for the Mihi Breccia pyroclastic flows. Soft-sediment deformation associated with Mihi Breccia strata indicate either seismic shock, rapid sediment loading during pyroclastic flow emplacement, or both. Thus, the Mihi Breccia reflects a prolonged series of subaqueous rhyolite dome building and associated pyroclastic flows, accompanied by seismic activity, emplaced into a large paleo-lake system within the TVZ.
","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.jvolgeores.2016.08.004","usgsCitation":"Downs, D.T., 2016, Mihi Breccia: A stack of lacustrine sediments and subaqueous pyroclastic flows within the Taupo Volcanic Zone, New Zealand: Journal of Volcanology and Geothermal Research, v. 327, no. 15, p. 180-191, https://doi.org/10.1016/j.jvolgeores.2016.08.004.","productDescription":"12 p.","startPage":"180","endPage":"191","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071528","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":326190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taupo Volcanic Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 175.66666,\n -37.95\n ],\n [\n 175.66666,\n -39\n ],\n [\n 176.66666,\n -39\n ],\n [\n 176.66666,\n -37.95\n ],\n [\n 175.66666,\n -37.95\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"327","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad69e4b05e859bdfba75","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":644940,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193677,"text":"70193677 - 2016 - Relationships of three species of bats impacted by white-nose syndrome to forest condition and management","interactions":[],"lastModifiedDate":"2017-12-21T10:15:59","indexId":"70193677","displayToPublicDate":"2016-08-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"SRS–214","title":"Relationships of three species of bats impacted by white-nose syndrome to forest condition and management","docAbstract":"Forest management activities can have substantial effects on forest structure and community composition and response of wildlife therein. Bats can be highly influenced by these structural changes, and understanding how forest management affects day-roost and foraging ecology of bats is currently a paramount conservation issue. With populations of many cave-hibernating bat species in eastern North America declining as a result of white-nose syndrome (WNS), it is increasingly critical to understand relationships among bats and forest-management activities. Herein, we provide a comprehensive literature review and synthesis of: (1) responses of northern long-eared (Myotis septentrionalis) and tri-colored (Perimyotis subflavus) bats—two species affected by WNS that use forests during summer—to forest management, and (2) an update to a previous review on the ecology of the endangered Indiana bat (Myotis sodalis).
","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","usgsCitation":"Silvis, A., Perry, R.W., and Ford, W., 2016, Relationships of three species of bats impacted by white-nose syndrome to forest condition and management: General Technical Report SRS–214, iv, 48 p.","productDescription":"iv, 48 p.","ipdsId":"IP-073333","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":350138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350136,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/52250"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd04e4b06e28e9c2466f","contributors":{"authors":[{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":725269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Roger W.","contributorId":201436,"corporation":false,"usgs":false,"family":"Perry","given":"Roger","email":"","middleInitial":"W.","affiliations":[{"id":25513,"text":"USDA Forest Service Southern Research Station","active":true,"usgs":false}],"preferred":false,"id":725270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70175164,"text":"ds1007 - 2016 - Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","interactions":[],"lastModifiedDate":"2017-09-18T11:08:10","indexId":"ds1007","displayToPublicDate":"2016-08-02T15:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1007","title":"Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface","docAbstract":"Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida, collected bathymetric data along the upper shoreface and within the wilderness breach at Fire Island, New York, in June 2014. The U.S. Geological Survey is involved in a post-Hurricane Sandy effort to map and monitor the morphologic evolution of the shoreface along Fire Island and model the evolution of the wilderness breach as a part of the Hurricane Sandy Supplemental Project GS2-2B. During this study, bathymetry was collected with single-beam echo sounders and global positioning systems, mounted to personal watercraft, along the Fire Island shoreface and within the wilderness breach. Additional bathymetry was collected using backpack global positioning systems along the flood shoals and shallow channels within the wilderness breach.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1007","usgsCitation":"Nelson, T.R., Miselis, J.L., Hapke, C.J., Wilson, K.E., Henderson, R.E., Brenner, O.T., Reynolds, B.J., and Hansen, M.E., 2016, Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface: U.S. Geological Survey Data Series 1007, https://dx.doi.org/10.3133/ds1007.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-071019","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325903,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1007"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.35,\n 40.875\n ],\n [\n -73.35,\n 40.6\n ],\n [\n -72.7,\n 40.6\n ],\n [\n -72.7,\n 40.875\n ],\n [\n -73.35,\n 40.875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"St. Petersburg Coastal and Marine Science Center
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600 4th Street South
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(727) 502-8000
http://coastal.er.usgs.gov