This report describes the analytical methods and results of a pilot study to enhance the Ohio StreamStats application by adding the ability to obtain water-use information for selected areas in the northeast quadrant of Ohio. Water-use estimates are determined in StreamStats through a simple multistep process.
\nWater-use data used to develop the Ohio StreamStats water-use application were obtained from the Ohio Department of Natural Resources (ODNR) and 2010 countywide estimates of self-supplied domestic water use (hereafter referred to as “domestic water use”) compiled by the U.S. Geological Survey (USGS). With the exception of domestic water uses, monthly time series of reported water uses for 2005–2012 are used to calculate average monthly and average annual withdrawals. Domestic water use is estimated from the USGS 2010 countywide estimates, assuming that water use is distributed uniformly in space and time. Consumptive-use coefficients are used to estimate net withdrawals and facilitate computation of return flows.
\nTemporary water-use registrations for hydraulic fracturing are tabulated separately from the other water uses. Water-use indices are computed by dividing average annual net withdrawals (with and without temporary registrations) by the mean October streamflow estimated with StreamStats. The water-use indices are intended to provide metrics of potential consumptive water use.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165077","collaboration":"Prepared in cooperation with the Ohio Water Development Authority and the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G.F., Nardi, M.R., and Shaffer, K.H., 2016, Estimation of upstream water use with Ohio’s StreamStats application: U.S. Geological Survey Scientific Investigations Report 2016–5077, 13 p., https://dx.doi.org/10.3133/sir20165077.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-072219","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":324337,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5077/sir20165077.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5077"},{"id":324336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5077/coverthb.jpg"}],"contact":"Director, Ohio Water Science Center
U.S. Geological Survey
6480 Doubletree Ave
Columbus, OH 43229–1111
http://oh.water.usgs.gov/
Working in partnership since 1996, the U.S. Fish and Wildlife Service and the Nisqually Indian Tribe have restored 902 acres of tidally influenced coastal marsh in the Nisqually River Delta (NRD), making it the largest estuary-restoration project in the Pacific Northwest to date. Marsh restoration increases the capacity of the estuary to support a diversity of wildlife species. Restoration also increases carbon (C) production of marsh plant communities that support food webs for wildlife and can help mitigate climate change through long-term C storage in marsh soils.
In 2015, an interdisciplinary team of U.S. Geological Survey (USGS) researchers began to study the benefits of carbon for wetland wildlife and storage in the NRD. Our primary goals are (1) to identify the relative importance of the different carbon sources that support juvenile chinook (Oncorhynchus tshawytscha) food webs and contribute to current and historic peat formation, (2) to determine the net ecosystem carbon balance (NECB) in a reference marsh and a restoration marsh site, and (3) to model the sustainability of the reference and restoration marshes under projected sea-level rise conditions along with historical vegetation change. In this fact sheet, we focus on the main C sources and exchanges to determine NECB, including carbon dioxide (CO2) uptake through plant photosynthesis, the loss of CO2 through plant and soil respiration, emissions of methane (CH4), and the lateral movement or leaching loss of C in tidal waters.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163042","collaboration":"Prepared in cooperation with the U.S.G.S. Land Carbon Program and the U.S. Fish and Wildlife Service","usgsCitation":"Anderson, Frank, 2016, Assessing wildlife benefits and carbon from restored and natural coastal marshes in the Nisqually River delta: Determining marsh net ecosystem carbon balance: U.S. Geological Survey Fact Sheet 2016-3042, 2 p., https://dx.doi.org/10.3133/fs20163042.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065411","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":324375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3042/coverthb.jpg"},{"id":324376,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3042/fs20163042.pdf","text":"Report","size":"898 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3042"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73977279663085,\n 47.066497210333836\n ],\n [\n -122.73977279663085,\n 47.1214245689578\n ],\n [\n -122.66733169555663,\n 47.1214245689578\n ],\n [\n -122.66733169555663,\n 47.066497210333836\n ],\n [\n -122.73977279663085,\n 47.066497210333836\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
The U.S. Geological Survey is collecting geologic samples from local stream channels, aquifer materials, and rock outcrops for studies of trace elements in the Mojave Desert, southern California. These samples are collected because geologic materials can release a variety of elements to the environment when exposed to water. The samples are to be analyzed with a handheld X-ray fluorescence (XRF) spectrometer to determine the concentrations of up to 27 elements, including chromium.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163043","usgsCitation":"Groover, K.D., and Izbicki, J.A., 2016, Geochemical analysis using a handheld X-Ray Fluorescence spectrometer. U.S. Geological Survey Fact Sheet 2015-3043, 2 p., https://dx.doi.org/10.3133/fs20163043.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-068919","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":324370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3043/fs20163043.pdf","text":"Report","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3043"},{"id":324369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3043/coverthb.jpg"}],"contact":"Director, California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
http://ca.water.usgs.gov/mojave/
http://ca.water.usgs.gov/projects/hinkley/
Excessive phosphorus (TP) and nitrogen (TN) inputs from the Red–Assiniboine River Basin (RARB) have been linked to eutrophication of Lake Winnipeg; therefore, it is important for the management of water resources to understand where and from what sources these nutrients originate. The RARB straddles the Canada–United States border and includes portions of two provinces and three states. This study represents the first binationally focused application of SPAtially Referenced Regressions on Watershed attributes (SPARROW) models to estimate loads and sources of TP and TN by jurisdiction and basin at multiple spatial scales. Major hurdles overcome to develop these models included: (1) harmonization of geospatial data sets, particularly construction of a contiguous stream network; and (2) use of novel calibration steps to accommodate limitations in spatial variability across the model extent and in the number of calibration sites. Using nutrient inputs for a 2002 base year, a RARB TP SPARROW model was calibrated that included inputs from agriculture, forests and wetlands, wastewater treatment plants (WWTPs) and stream channels, and a TN model was calibrated that included inputs from agriculture, WWTPs and atmospheric deposition. At the RARB outlet, downstream from Winnipeg, Manitoba, the majority of the delivered TP and TN came from the Red River Basin (90%), followed by the Upper Assiniboine River and Souris River basins. Agriculture was the single most important TP and TN source for each major basin, province and state. In general, stream channels (historically deposited nutrients and from bank erosion) were the second most important source of TP. Performance metrics for the RARB SPARROW model are similarly robust compared to other, larger US SPARROW models making it a potentially useful tool to address questions of where nutrients originate and their relative contributions to loads delivered to Lake Winnipeg.
","language":"English","publisher":"Taylor and Francis Group","doi":"10.1080/07011784.2016.1178601","collaboration":"International Joint Commission","usgsCitation":"Benoy, G.A., Jenkinson, R., Robertson, D.M., and Saad, D.A., 2016, Nutrient delivery to Lake Winnipeg from the Red-Assiniboine River Basin – A binational application of the SPARROW model: Canadian Water Resources Journal, v. 41, no. 3, p. 429-447, https://doi.org/10.1080/07011784.2016.1178601.","productDescription":"19 p.","startPage":"429","endPage":"447","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068514","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":324322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":324318,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1080/07011784.2016.1178601"}],"country":"Canada, United States","state":"Manitoba, Minnesota, Saskatchewan","otherGeospatial":"Assiniboine River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.152099609375,\n 50.064191736659104\n ],\n [\n -98.009033203125,\n 50.2612538275847\n ],\n [\n -99.47021484375,\n 50.162824333817284\n ],\n [\n -102.469482421875,\n 51.248163159055906\n ],\n [\n -104.8974609375,\n 50.597186230587035\n ],\n [\n -103.853759765625,\n 49.1888842152458\n ],\n [\n -101.898193359375,\n 48.04870994288686\n ],\n [\n -99.41528320312499,\n 48.268569112964336\n ],\n [\n -97.152099609375,\n 50.064191736659104\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-20","publicationStatus":"PW","scienceBaseUri":"576cfa1de4b07657d1a33c62","contributors":{"authors":[{"text":"Benoy, Glenn A. 0000-0001-6530-7220","orcid":"https://orcid.org/0000-0001-6530-7220","contributorId":172405,"corporation":false,"usgs":false,"family":"Benoy","given":"Glenn","email":"","middleInitial":"A.","affiliations":[{"id":13361,"text":"International Joint Commission, Washington DC","active":true,"usgs":false}],"preferred":false,"id":640604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkinson, R. Wayne","contributorId":172406,"corporation":false,"usgs":false,"family":"Jenkinson","given":"R. Wayne","affiliations":[{"id":13361,"text":"International Joint Commission, Washington DC","active":true,"usgs":false}],"preferred":false,"id":640605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174034,"text":"70174034 - 2016 - Spatial modeling of wild bird risk factors to investigate highly pathogenic A(H5N1) avian influenza virus transmission","interactions":[],"lastModifiedDate":"2018-08-09T12:46:44","indexId":"70174034","displayToPublicDate":"2016-06-23T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Spatial modeling of wild bird risk factors to investigate highly pathogenic A(H5N1) avian influenza virus transmission","docAbstract":"One of the longest-persisting avian influenza viruses in history, highly pathogenic avian influenza virus (HPAIV) A(H5N1), continues to evolve after 18 years, advancing the threat of a global pandemic. Wild waterfowl (family Anatidae), are reported as secondary transmitters of HPAIV, and primary reservoirs for low-pathogenic avian influenza viruses, yet spatial inputs for disease risk modeling for this group have been lacking. Using GIS and Monte Carlo simulations, we developed geospatial indices of waterfowl abundance at 1 and 30 km resolutions and for the breeding and wintering seasons for China, the epicenter of H5N1. Two spatial layers were developed: cumulative waterfowl abundance (WAB), a measure of predicted abundance across species, and cumulative abundance weighted by H5N1 prevalence (WPR), whereby abundance for each species was adjusted based on prevalence values then totaled across species. Spatial patterns of the model output differed between seasons, with higher WAB and WPR in the northern and western regions of China for the breeding season and in the southeast for the wintering season. Uncertainty measures indicated highest error in southeastern China for both WAB and WPR. We also explored the effect of resampling waterfowl layers from 1 km to 30 km resolution for multi-scale risk modeling. Results indicated low average difference (less than 0.16 and 0.01 standard deviations for WAB and WPR, respectively), with greatest differences in the north for the breeding season and southeast for the wintering season. This work provides the first geospatial models of waterfowl abundance available for China. The indices provide important inputs for modeling disease transmission risk at the interface of poultry and wild birds. These models are easily adaptable, have broad utility to both disease and conservation needs, and will be available to the scientific community for advanced modeling applications.
","language":"English","publisher":"American Association of Avian Pathologists","doi":"10.1637/11125-050615-Reg","usgsCitation":"Prosser, D.J., Hungerford, L.L., Erwin, R.M., Ottinger, M.A., Takekawa, J.Y., Newman, S.H., Xiao, X., and Ellis, E.C., 2016, Spatial modeling of wild bird risk factors to investigate highly pathogenic A(H5N1) avian influenza virus transmission: Avian Diseases, v. 60, no. 1s, p. 329-336, https://doi.org/10.1637/11125-050615-Reg.","productDescription":"8 p.","startPage":"329","endPage":"336","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071327","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":438608,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B6ZDUR","text":"USGS data release","linkHelpText":"Spatial Models of Wild Bird Risk Factors for Highly Pathogenic A(H5N1) Avian Influenza Virus Transmission"},{"id":324325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1s","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576cfa1de4b07657d1a33c66","contributors":{"authors":[{"text":"Prosser, Diann J. 0000-0002-5251-1799 dprosser@usgs.gov","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":2389,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","email":"dprosser@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":640624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hungerford, Laura L.","contributorId":14291,"corporation":false,"usgs":true,"family":"Hungerford","given":"Laura","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":640625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erwin, R. Michael 0000-0003-2108-9502","orcid":"https://orcid.org/0000-0003-2108-9502","contributorId":57125,"corporation":false,"usgs":true,"family":"Erwin","given":"R.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":640626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ottinger, Mary Ann","contributorId":26422,"corporation":false,"usgs":false,"family":"Ottinger","given":"Mary","email":"","middleInitial":"Ann","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":640627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":640628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newman, Scott H.","contributorId":101372,"corporation":false,"usgs":true,"family":"Newman","given":"Scott","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":640629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiao, Xianming","contributorId":145908,"corporation":false,"usgs":false,"family":"Xiao","given":"Xianming","email":"","affiliations":[{"id":16292,"text":"Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, China","active":true,"usgs":false}],"preferred":false,"id":640630,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ellis, Erie C.","contributorId":87678,"corporation":false,"usgs":true,"family":"Ellis","given":"Erie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":640631,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70174029,"text":"70174029 - 2016 - The potential uses of operational earthquake forecasting","interactions":[],"lastModifiedDate":"2017-02-13T14:17:34","indexId":"70174029","displayToPublicDate":"2016-06-23T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The potential uses of operational earthquake forecasting","docAbstract":"This article reports on a workshop held to explore the potential uses of operational earthquake forecasting (OEF). We discuss the current status of OEF in the United States and elsewhere, the types of products that could be generated, the various potential users and uses of OEF, and the need for carefully crafted communication protocols. Although operationalization challenges remain, there was clear consensus among the stakeholders at the workshop that OEF could be useful.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220150174","usgsCitation":"Field, E., Jordan, T., Jones, L.M., Michael, A., and Blanpied, M., 2016, The potential uses of operational earthquake forecasting: Seismological Research Letters, v. 87, no. 2A, p. 313-322, https://doi.org/10.1785/0220150174.","productDescription":"10 p.","startPage":"313","endPage":"322","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070345","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470850,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://authors.library.caltech.edu/66098/","text":"External Repository"},{"id":324294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"2A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-03","publicationStatus":"PW","scienceBaseUri":"576cfa1ee4b07657d1a33c6a","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":640557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jordan, Thomas","contributorId":46528,"corporation":false,"usgs":true,"family":"Jordan","given":"Thomas","affiliations":[],"preferred":false,"id":640558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Lucille M.","contributorId":172401,"corporation":false,"usgs":true,"family":"Jones","given":"Lucille","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false},{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":640559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, Andrew","contributorId":97760,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","affiliations":[],"preferred":false,"id":640560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blanpied, Michael L. mblanpied@usgs.gov","contributorId":4807,"corporation":false,"usgs":true,"family":"Blanpied","given":"Michael L.","email":"mblanpied@usgs.gov","affiliations":[],"preferred":true,"id":640561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174030,"text":"70174030 - 2016 - Temporal variation in survival and recovery rates of lesser scaup","interactions":[],"lastModifiedDate":"2017-11-27T13:02:56","indexId":"70174030","displayToPublicDate":"2016-06-23T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in survival and recovery rates of lesser scaup","docAbstract":"Management of lesser scaup (Aythya affinis) has been hindered by access to reliable data on population trajectories and vital rates. We conducted a Bayesian analysis of historical (1951–2011) band-recovery data throughout North America to estimate annual survival and recovery rates for juvenile and adult male and female lesser scaup to determine if increasing harvest or declining survival rates have contributed to population changes and to determine if harvest has been primarily additive or compensatory. Annual recovery rates were low, ranging from 1% to 4% for adults and 2% to 10% for juveniles during most years, with trend models indicating that recovery rates have declined through time for all age–sex classes. Annual survival (mid-Aug to mid-Aug) averaged 0.402 (σ ̂ 0.043) for juvenile males, 0.416 (σ ̂ 0.067) for juvenile females, 0.689 (σ ̂ 0.109) for adult males, and 0.602 (σ ̂ 0.115) for adult females, where σ ̂ represents an estimate of annual process variation in each survival rate. Annual survival rates exhibited no evidence of long-term declines or negative correlations with annual recovery rates (i.e., an index of harvest intensity) for any age–sex class, suggesting that declining fecundity was the most likely explanation for population declines during 1975–2005. We conclude that hunting mortality played a minor role in affecting population dynamics of lesser scaup and waterfowl managers could take a less cautious approach in managing harvest, especially if recruiting or maintaining waterfowl hunters are viewed as important management objectives.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21074","usgsCitation":"Arnold, T.W., Afton, A.D., Anteau, M.J., Koons, D.N., and Nicolai, C., 2016, Temporal variation in survival and recovery rates of lesser scaup: Journal of Wildlife Management, v. 80, no. 5, p. 850-861, https://doi.org/10.1002/jwmg.21074.","productDescription":"12 p.","startPage":"850","endPage":"861","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071708","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":324293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-13","publicationStatus":"PW","scienceBaseUri":"576cfa1de4b07657d1a33c68","contributors":{"authors":[{"text":"Arnold, Todd W.","contributorId":36058,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd","email":"","middleInitial":"W.","affiliations":[{"id":12644,"text":"University of Minnesota, St. Paul","active":true,"usgs":false}],"preferred":false,"id":640563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afton, Alan D. 0000-0002-0436-8588 aafton@usgs.gov","orcid":"https://orcid.org/0000-0002-0436-8588","contributorId":139582,"corporation":false,"usgs":false,"family":"Afton","given":"Alan","email":"aafton@usgs.gov","middleInitial":"D.","affiliations":[{"id":368,"text":"Louisiana Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":640564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":640562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koons, David N.","contributorId":28137,"corporation":false,"usgs":false,"family":"Koons","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":640565,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nicolai, Chris","contributorId":169592,"corporation":false,"usgs":true,"family":"Nicolai","given":"Chris","affiliations":[],"preferred":false,"id":640566,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70174028,"text":"70174028 - 2016 - Environment, host, and fungal traits predict continental-scale white-nose syndrome in bats","interactions":[],"lastModifiedDate":"2016-06-29T15:14:08","indexId":"70174028","displayToPublicDate":"2016-06-23T13:25:35","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":"Environment, host, and fungal traits predict continental-scale white-nose syndrome in bats","docAbstract":"White-nose syndrome is a fungal disease killing bats in eastern North America, but disease is not seen in European bats and is less severe in some North American species. We show that how bats use energy during hibernation and fungal growth rates under different environmental conditions can explain how some bats are able to survive winter with infection and others are not. Our study shows how simple but nonlinear interactions between fungal growth and bat energetics result in decreased survival times at more humid hibernation sites; however, differences between species such as body size and metabolic rates determine the impact of fungal infection on bat survival, allowing European bat species to survive, whereas North American species can experience dramatic decline.
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Scientists from the U.S. Geological Survey (USGS) developed a multidisciplinary study of sediment transport and hydrodynamics to understand the mechanisms that govern estuarine and wetland responses to storm forcing. This report details the physical and chemical characteristics of surficial and downcore sediments from two areas within the bay. Eleven sites were sampled in both the central portion of the bay near Barnegat Inlet and in the southern portion of the bay in Little Egg Harbor. Laboratory analyses include Be-7, Pb-210, bulk density, porosity, x-radiographs, and grain-size distribution. These data will serve as a critical baseline dataset for understanding the current sedimentological regime and can be applied to future storms for understanding estuarine and wetland evolution.
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Avian nest-site selection is influenced by factors operating across multiple spatial scales. Identifying preferred physical characteristics (e.g., topography, vegetation structure) can inform managers to improve nesting habitat suitability. However, social factors (e.g., attraction, territoriality, competition) can complicate understanding physical characteristics preferred by nesting birds. We simultaneously evaluated the physical characteristics and social factors influencing selection of island nest sites by colonial-nesting American avocets (Recurvirostra americana) and Forster's terns (Sterna forsteri) at 2 spatial scales in San Francisco Bay, 2011–2012. At the larger island plot (1 m2) scale, we used real-time kinematics to produce detailed topographies of nesting islands and map the distribution of nests. Nesting probability was greatest in island plots between 0.5 m and 1.5 m above the water surface, at distances <10 m from the water's edge, and of moderately steep (avocets) or flat (terns) slopes. Further, avocet and tern nesting probability increased as the number of nests initiated in adjacent plots increased up to a peak of 11–12 tern nests, and then decreased thereafter. Yet, avocets were less likely to nest in plots adjacent to plots with nesting avocets, suggesting an influence of intra-specific territoriality. At the smaller microhabitat scale, or the area immediately surrounding the nest, we compared topography, vegetation, and distance to nearest nest between nest sites and paired random sites. Topography had little influence on selection of the nest microhabitat. Instead, nest sites were more likely to have vegetation present, and greater cover, than random sites. Finally, avocet, and to a lesser extent tern, nest sites were closer to other active conspecific or heterospecific nests than random sites, indicating that social attraction played a role in selection of nest microhabitat. Our results demonstrate key differences in nest-site selection between co-occurring avocets and terns, and indicate the effects of physical characteristics and social factors on selection of nesting habitat are dependent on the spatial scale examined. Moreover, these results indicate that islands with abundant area between 0.5 m and 1.5 m above the water surface, within 10 m of the water's edge, and containing a mosaic of slopes ranging from flat to moderately steep would provide preferred nesting habitat for avocets and terns. © 2016 The Wildlife Society.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21105","usgsCitation":"Hartman, C.A., Ackerman, J., Takekawa, J.Y., and Herzog, M.P., 2016, Waterbird nest-site selection is influenced by neighboring nests and island topography: Journal of Wildlife Management, v. 80, no. 7, p. 1267-1279, https://doi.org/10.1002/jwmg.21105.","productDescription":"13 p.","startPage":"1267","endPage":"1279","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062454","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":324283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"San Francisco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.11235046386717,\n 37.56362983491151\n ],\n [\n -122.06153869628906,\n 37.57070524233116\n ],\n [\n -122.01828002929686,\n 37.50155517264162\n ],\n [\n -121.95991516113283,\n 37.51027052249435\n ],\n [\n -121.91734313964844,\n 37.45687303762862\n ],\n [\n -121.99493408203125,\n 37.41816326969145\n ],\n [\n -122.10617065429688,\n 37.43179575348695\n ],\n [\n -122.11235046386717,\n 37.56362983491151\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"80","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"576cfa1ee4b07657d1a33c6c","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":640520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":640519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":640522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":640521,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170870,"text":"sir20165039 - 2016 - Occurrence and concentrations of selected trace elements and halogenated organic compounds in stream sediments and potential sources of polychlorinated biphenyls, Leon Creek, San Antonio, Texas, 2012–14","interactions":[],"lastModifiedDate":"2016-06-24T08:42:42","indexId":"sir20165039","displayToPublicDate":"2016-06-23T00:00:00","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":"2016-5039","title":"Occurrence and concentrations of selected trace elements and halogenated organic compounds in stream sediments and potential sources of polychlorinated biphenyls, Leon Creek, San Antonio, Texas, 2012–14","docAbstract":"The Texas Department of State Health Services issued fish consumption advisories in 2003 and 2010 for Leon Creek in San Antonio, Texas, based on elevated concentrations of polychlorinated biphenyls (PCBs) in fish tissues. The U.S. Geological Survey (USGS) measured elevated PCB concentrations in stream-sediment samples collected during 2007–9 from Leon Creek at Lackland Air Force Base (now known as Joint Base San Antonio-Lackland; the sampling site at this base is hereinafter referred to as the “Joint Base site”) and sites on Leon Creek downstream from the base. This report describes the occurrence and concentrations of selected trace elements and halogenated organic compounds (pesticides, flame retardants, and PCBs) and potential sources of PCBs in stream-sediment samples collected from four sites on Leon Creek during 2012–14. In downstream order, sediment samples were collected from Leon Creek at northwest Interstate Highway 410 (Loop 410), Rodriguez Park, Morey Road, and Joint Base. The USGS periodically collected streambed-sediment samples during low flow and suspended-sediment samples during high flow.
\nTrace element concentrations were low compared to the consensus-based sediment-quality guidelines (SQGs) for the threshold effect concentration (TEC) and probable effect concentration (PEC). Adverse effects to benthic biota are not expected at concentrations less than the TEC and are expected at concentrations greater than the PEC. No trace element concentrations were greater than the PEC in any of the samples. Trace element concentrations were greatest at the Morey Road and Joint Base sites and exceeded the TECs by 41 and 27 percent, respectively. Trace element concentrations were lowest at the Rodriguez Park and Loop 410 sites and exceeded the TECs by 18 and 14 percent, respectively.
\nPesticides that have been banned for several decades are commonly detected in Leon Creek stream sediments, particularly the chlordane compounds. Chlordane compounds were detected in 84 percent of the samples and at every sample collection site. The samples collected from the Rodriguez Park site had the most pesticide compounds detected. Only samples collected from the Joint Base site had dichlorodiphenyldichloroethane (DDD), dichlorodiphenyldichloroethylene (DDE), or dichlorodiphenyltrichloroethane (DDT) concentrations greater than the TEC, and a few were also greater than the PEC.
\nFlame retardants were found at every site on Leon Creek where stream sediments were collected; however, a few compounds were frequently detected in the laboratory reagent blanks so their detections in the environmental samples may not be from local sources. Consensus-based SQGs were not available for flame retardants so samples were compared to Environment Canada Federal Environmental Quality Guidelines (FEQGs). The concentrations of flame retardants generally were greater in the suspended-sediment samples than the streambed-sediment samples and greater than the FEQGs in many cases.
\nEighteen PCB congeners were quantified in the sediment samples collected from Leon Creek. The samples collected from the Joint Base site had the most frequent PCB congener detections. Total PCB concentrations, computed as the sum of the 18 congeners by using the Kaplan-Meier method for left-censored environmental data, were much smaller than the TEC of 59.8 micrograms per kilogram (μg/kg). When detected, the concentrations of total PCBs in the stream-sediment samples collected from Leon Creek during 2012–14 ranged from an estimated 0.2 to 8.7 μg/kg.
\nSediment samples collected from Leon Creek by the USGS during 2007–9 and 2012–14 at a total of eight sites following identical field and laboratory methods were evaluated to determine if potential PCB sources could be identified. Total PCB concentrations in the sediment samples collected upstream from the Joint Base site were low or nondetections; while concentrations in the samples collected on and downstream from the Joint Base site were greater. Congeners 180 and 138 constituted the greatest proportion of the PCB mixture in samples collected upstream from, on, and downstream from the Joint Base site. Upstream from the Joint Base site, congeners 180 and 138 constituted 50 percent and 35 percent respectively of the PCBs congeners found in the samples. On and downstream from the Joint Base site, congeners 180 and 138 constituted 80 percent and 13 percent respectively of the PCBs congeners found in the samples. Chi-square (C2) tests also indicate that samples collected from the Loop 410 site were statistically different from samples collected from the Joint Base site and sites downstream. The PCB congener pattern in the Leon Creek samples is most like the congener mixture in Aroclor 1260, which is chemically similar to the PCBs detected in the fish samples that resulted in the 2003 fish consumption advisory.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165039","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Wilson, J.T., 2016, Occurrence and concentrations of selected trace elements and halogenated organic compounds in stream sediments and potential sources of polychlorinated biphenyls, Leon Creek, San Antonio, Texas, 2012–14: U.S. Geological Survey Scientific Investigations Report 2016–5039, 99 p., https://dx.doi.org/10.3133/sir20165039.","productDescription":"viii, 99 p.","startPage":"1","endPage":"99","numberOfPages":"111","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069499","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":324297,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5039/sir20165039.pdf","text":"Report","size":"1.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5039"},{"id":324296,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5039/coverthb.jpg"}],"country":"United States","state":"Texas","city":"San Antonio","otherGeospatial":"Leon Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.60401153564452,\n 29.2324852813013\n ],\n [\n -98.60401153564452,\n 29.354349397730857\n ],\n [\n -98.5089111328125,\n 29.354349397730857\n ],\n [\n -98.5089111328125,\n 29.2324852813013\n ],\n [\n -98.60401153564452,\n 29.2324852813013\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754-4501
Dr. Klaver reviewed Large Carnivore Conservation as part of a graduate seminar and seminar participants represented the full range of readers who might be interested in the book: natural resource managers, citizen advocates, researchers, and students. Although we encountered a variety of opinions based on our different backgrounds and orientations, we discovered a surprising amount of consensus both about what the book does well and where it falls short of our expectations.
\nReview info: Large carnivore conservation: Integrating science and policy in the North American West. By Clark, S. G, and M. B. Rutherford (eds.). ISBN: 978-0-226-10740-0, xiii + 407 pp.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Washington, D.C.","doi":"10.1093/jmammal/gyw019","usgsCitation":"Albertsen, A.J., Cox, M.M., Ernst, E.E., Haley, H.J., Klaver, R.W., Loney, D.A., Mackert, M.M., McCombs, A.L., Piatscheck, F., Pocius, V.M., and Stein, D.S., 2016, Book review: Large carnivore conservation: Integrating science and policy in the North American West: Journal of Mammalogy, v. 20, no. 10, p. 1-3, https://doi.org/10.1093/jmammal/gyw019.","productDescription":"3 p.","startPage":"1","endPage":"3","numberOfPages":"3","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071761","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470852,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw019","text":"Publisher Index Page"},{"id":324574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-22","publicationStatus":"PW","scienceBaseUri":"57739fade4b07657d1a90ca8","contributors":{"authors":[{"text":"Albertsen, A. J.","contributorId":172527,"corporation":false,"usgs":false,"family":"Albertsen","given":"A.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":641141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cox, M. M.","contributorId":172528,"corporation":false,"usgs":false,"family":"Cox","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":641144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ernst, E. E.","contributorId":172529,"corporation":false,"usgs":false,"family":"Ernst","given":"E.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":641147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haley, H. J.","contributorId":172530,"corporation":false,"usgs":false,"family":"Haley","given":"H.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":641148,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":641149,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loney, D. A.","contributorId":172531,"corporation":false,"usgs":false,"family":"Loney","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":641150,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mackert, M. M.","contributorId":172532,"corporation":false,"usgs":false,"family":"Mackert","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":641151,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCombs, A. L.","contributorId":172523,"corporation":false,"usgs":false,"family":"McCombs","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":641152,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piatscheck, F.","contributorId":172533,"corporation":false,"usgs":false,"family":"Piatscheck","given":"F.","email":"","affiliations":[],"preferred":false,"id":641155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pocius, V. M.","contributorId":172534,"corporation":false,"usgs":false,"family":"Pocius","given":"V.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":641156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stein, D. S.","contributorId":172535,"corporation":false,"usgs":false,"family":"Stein","given":"D.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":641157,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70174017,"text":"70174017 - 2016 - Comparing three approaches of evapotranspiration estimation in mixed urban vegetation; field-based, remote sensing-based and observational-based methods","interactions":[],"lastModifiedDate":"2016-06-22T16:41:39","indexId":"70174017","displayToPublicDate":"2016-06-22T17:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Comparing three approaches of evapotranspiration estimation in mixed urban vegetation; field-based, remote sensing-based and observational-based methods","docAbstract":"Despite being the driest inhabited continent, Australia has one of the highest per capita water consumptions in the world. In addition, instead of having fit-for-purpose water supplies (using different qualities of water for different applications), highly treated drinking water is used for nearly all of Australia’s urban water supply needs, including landscape irrigation. The water requirement of urban landscapes, and particularly urban parklands, is of growing concern. The estimation of ET and subsequently plant water requirements in urban vegetation needs to consider the heterogeneity of plants, soils, water and climate characteristics. Accurate estimation of evapotranspiration (ET), which is the main component of a plant’s water requirement, in urban parks is highly desirable because this water maintains the health of green infrastructure and this in turn provides essential ecosystem services. This research contributes to a broader effort to establish sustainable irrigation practices within the Adelaide Parklands in Adelaide, South Australia.
","language":"English","publisher":"MDPI AG","doi":"10.3390/rs8060492","usgsCitation":"Nouri, H., Glenn, E.P., Beecham, S., Chavoshi Boroujeni, S., Sutton, P., Alaghmand, S., Nagler, P.L., and Noori, B., 2016, Comparing three approaches of evapotranspiration estimation in mixed urban vegetation; field-based, remote sensing-based and observational-based methods: Remote Sensing, v. 8, no. 6, Article 492; 15 p., https://doi.org/10.3390/rs8060492.","productDescription":"Article 492; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072315","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470854,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs8060492","text":"Publisher Index Page"},{"id":324278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"576ba89de4b07657d1a1765e","contributors":{"authors":[{"text":"Nouri, Hamideh 0000-0002-7424-5030","orcid":"https://orcid.org/0000-0002-7424-5030","contributorId":16327,"corporation":false,"usgs":true,"family":"Nouri","given":"Hamideh","email":"","affiliations":[],"preferred":false,"id":640499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Edward P.","contributorId":19289,"corporation":false,"usgs":true,"family":"Glenn","given":"Edward","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":640500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beecham, Simon","contributorId":95397,"corporation":false,"usgs":true,"family":"Beecham","given":"Simon","affiliations":[],"preferred":false,"id":640501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chavoshi Boroujeni, Sattar","contributorId":172386,"corporation":false,"usgs":false,"family":"Chavoshi Boroujeni","given":"Sattar","email":"","affiliations":[{"id":27030,"text":"School of Natural and Built Environments, University of South Australia, Adelaide, SA","active":true,"usgs":false}],"preferred":false,"id":640502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sutton, Paul","contributorId":172387,"corporation":false,"usgs":false,"family":"Sutton","given":"Paul","email":"","affiliations":[{"id":27030,"text":"School of Natural and Built Environments, University of South Australia, Adelaide, SA","active":true,"usgs":false}],"preferred":false,"id":640503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alaghmand, Sina","contributorId":172388,"corporation":false,"usgs":false,"family":"Alaghmand","given":"Sina","email":"","affiliations":[{"id":27031,"text":"School of Natural and Built Environments, U. So. Aus and Discipline of Civil Engineering, School Of Engineering, Monash University Malaysia","active":true,"usgs":false}],"preferred":false,"id":640504,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":640498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Noori, Behnaz","contributorId":172392,"corporation":false,"usgs":false,"family":"Noori","given":"Behnaz","email":"","affiliations":[],"preferred":false,"id":640518,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70174016,"text":"70174016 - 2016 - Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa","interactions":[],"lastModifiedDate":"2016-09-06T13:56:47","indexId":"70174016","displayToPublicDate":"2016-06-22T17:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa","docAbstract":"Understory herbs and soil invertebrates play key roles in soil formation and nutrient cycling in forests. Studies suggest that diversity in the canopy and in the understory are positively associated, but these studies often confound the effects of tree species diversity with those of tree species identity and abiotic conditions. We combined extensive field sampling with structural equation modeling to evaluate the simultaneous effects of tree diversity on the species diversity of understory herbs, beetles, and earthworms. The diversity of earthworms and saproxylic beetles was directly and positively associated with tree diversity, presumably because species of both these taxa specialize on certain species of trees. Tree identity also strongly affected diversity in the understory, especially for herbs, likely as a result of interspecific differences in canopy light transmittance or litter decomposition rates. Our results suggest that changes in forest management will disproportionately affect certain understory taxa. For instance, changes in canopy diversity will affect the diversity of earthworms and saproxylic beetles more than changes in tree species composition, whereas the converse would be expected for understory herbs and detritivorous beetles. We conclude that the effects of tree diversity on understory taxa can vary from positive to negative and may affect biogeochemical cycling in temperate forests. Thus, maintaining high diversity in temperate forests can promote the diversity of multiple taxa in the understory.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1479","usgsCitation":"Champagne, J., Paine, C.E., Schoolmaster, D., Stejskal, R., Volarik, D., Šebesta, J., Trnka, F., Koutecky, T., Svarc, P., Svatek, M., Hector, A., and Matula, R., 2016, Do the rich get richer? Varying effects of tree species identity and diversity on the richness of understory taxa: Ecology, v. 97, no. 9, p. 2364-2373, https://doi.org/10.1002/ecy.1479.","productDescription":"10 p.","startPage":"2364","endPage":"2373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074725","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470853,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ora.ox.ac.uk/objects/uuid:703b7926-4947-4236-b4a8-97c48a6a1bfc","text":"External Repository"},{"id":324279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"9","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576ba89de4b07657d1a1766a","contributors":{"authors":[{"text":"Champagne, Juilette","contributorId":172369,"corporation":false,"usgs":false,"family":"Champagne","given":"Juilette","email":"","affiliations":[{"id":27025,"text":"1 Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":640468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paine, C. 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2016 - Disease epidemics: Lessons for resilience in an increasingly connected world","interactions":[],"lastModifiedDate":"2017-04-10T08:14:29","indexId":"70173763","displayToPublicDate":"2016-06-22T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5101,"text":"Journal of Public Health","active":true,"publicationSubtype":{"id":10}},"title":"Disease epidemics: Lessons for resilience in an increasingly connected world","docAbstract":"In public health, the term resilience often refers to the personality traits that individuals possess which help them endure and recover from stressors. However, resilience as a system characteristic, especially in regards to complex social-ecological systems, can be informative for public health at scales larger than the individual. Acute shocks to systems occur against a background of existing conditions, which are crucial determinants of the eventual public health outcomes of those shocks, and in the context of complex dependencies among and between ecological and societal elements. Many components of a system's baseline condition are chronic public health concerns themselves and diminish the capacity of the system to perform in the face of acute shocks. The emerging field of resilience management is concerned with holistically assessing and improving a system's ability to prepare for and absorb disruption, and then recover and adapt across physical, information, environmental and social domains. Integrating resilience considerations into current risk- and evidence-based approaches to disease control and prevention1 can move public health efforts toward more proactive and comprehensive solutions for protecting and improving the health of communities. Here, we look to the case of the Black Death as an illustrative case of a dramatic transformation in human history, an acute shock to a system that was underlain by chronic social maladies, to derive lessons about resilience management for public health in contemporary systems.
","language":"English","publisher":"Oxford Journals","doi":"10.1093/pubmed/fdw044","usgsCitation":"Allen, C.R., DeWitte, S., Kurth, M., and Linkov, I., 2016, Disease epidemics: Lessons for resilience in an increasingly connected world: Journal of Public Health, fdw044: 4 p., https://doi.org/10.1093/pubmed/fdw044.","productDescription":"fdw044: 4 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074766","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pubmed/fdw044","text":"Publisher Index Page"},{"id":324262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"576ba89de4b07657d1a17663","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":638086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeWitte, S.N.","contributorId":171617,"corporation":false,"usgs":false,"family":"DeWitte","given":"S.N.","email":"","affiliations":[],"preferred":false,"id":638111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurth, M.H.","contributorId":171618,"corporation":false,"usgs":false,"family":"Kurth","given":"M.H.","email":"","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":638112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linkov, I.","contributorId":171619,"corporation":false,"usgs":false,"family":"Linkov","given":"I.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":638113,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173796,"text":"70173796 - 2016 - Object-based forest classification to facilitate landscape-scale conservation in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2016-06-22T15:09:55","indexId":"70173796","displayToPublicDate":"2016-06-22T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5098,"text":"Remote Sensing Applications: Society and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Object-based forest classification to facilitate landscape-scale conservation in the Mississippi Alluvial Valley","docAbstract":"The Mississippi Alluvial Valley is a floodplain along the southern extent of the Mississippi River extending from southern Missouri to the Gulf of Mexico. This area once encompassed nearly 10 million ha of floodplain forests, most of which has been converted to agriculture over the past two centuries. Conservation programs in this region revolve around protection of existing forest and reforestation of converted lands. Therefore, an accurate and up to date classification of forest cover is essential for conservation planning, including efforts that prioritize areas for conservation activities. We used object-based image analysis with Random Forest classification to quickly and accurately classify forest cover. We used Landsat band, band ratio, and band index statistics to identify and define similar objects as our training sets instead of selecting individual training points. This provided a single rule-set that was used to classify each of the 11 Landsat 5 Thematic Mapper scenes that encompassed the Mississippi Alluvial Valley. We classified 3,307,910±85,344 ha (32% of this region) as forest. Our overall classification accuracy was 96.9% with Kappa statistic of 0.96. Because this method of forest classification is rapid and accurate, assessment of forest cover can be regularly updated and progress toward forest habitat goals identified in conservation plans can be periodically evaluated.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsase.2016.01.003","usgsCitation":"Mitchell, M., Wilson, R.R., Twedt, D.J., Mini, A., and James, J.D., 2016, Object-based forest classification to facilitate landscape-scale conservation in the Mississippi Alluvial Valley: Remote Sensing Applications: Society and Environment, v. 4, p. 55-60, https://doi.org/10.1016/j.rsase.2016.01.003.","productDescription":"6 p.","startPage":"55","endPage":"60","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061883","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsase.2016.01.003","text":"Publisher Index Page"},{"id":324251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri","otherGeospatial":"Mississippi Alluvial Valley","volume":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576ba89fe4b07657d1a17683","chorus":{"doi":"10.1016/j.rsase.2016.01.003","url":"http://dx.doi.org/10.1016/j.rsase.2016.01.003","publisher":"Elsevier BV","authors":"Mitchell Michael, Wilson R. Randy, Twedt Daniel J., Mini Anne E., James J. Dale","journalName":"Remote Sensing Applications: Society and Environment","publicationDate":"10/2016"},"contributors":{"authors":[{"text":"Mitchell, Michael","contributorId":98207,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","affiliations":[],"preferred":false,"id":638374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":638375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":638373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mini, Anne","contributorId":171716,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","affiliations":[{"id":26934,"text":"Lower Mississippi Valley Joint Venture and American Bird Conservancy, 193 Business Park Drive, Suite E, Ridgeland, MS 39157","active":true,"usgs":false}],"preferred":false,"id":638376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"James, J. Dale","contributorId":172350,"corporation":false,"usgs":false,"family":"James","given":"J.","email":"","middleInitial":"Dale","affiliations":[],"preferred":false,"id":640427,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173863,"text":"70173863 - 2016 - Stock assessment in inland fisheries: a foundation for sustainable use and conservation","interactions":[],"lastModifiedDate":"2016-08-19T10:21:06","indexId":"70173863","displayToPublicDate":"2016-06-22T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Stock assessment in inland fisheries: a foundation for sustainable use and conservation","docAbstract":"Fisheries stock assessments are essential for science-based fisheries management. Inland fisheries pose challenges, but also provide opportunities for biological assessments that differ from those encountered in large marine fisheries for which many of our assessment methods have been developed. These include the number and diversity of fisheries, high levels of ecological and environmental variation, and relative lack of institutional capacity for assessment. In addition, anthropogenic impacts on habitats, widespread presence of non-native species and the frequent use of enhancement and restoration measures such as stocking affect stock dynamics. This paper outlines various stock assessment and data collection approaches that can be adapted to a wide range of different inland fisheries and management challenges. Although this paper identifies challenges in assessment, it focuses on solutions that are practical, scalable and transferrable. A path forward is suggested in which biological assessment generates some of the critical information needed by fisheries managers to make effective decisions that benefit the resource and stakeholders.
","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9435-0","usgsCitation":"Lorenzen, K., Cowx, I.G., Entsua-Mensah, R., Lester, N.P., Koehn, J., Randall, R., So, N., Bonar, S.A., Bunnell, D., Venturelli, P.A., Bower, S.D., and Cooke, S., 2016, Stock assessment in inland fisheries: a foundation for sustainable use and conservation: Reviews in Fish Biology and Fisheries, v. 26, no. 3, p. 405-440, https://doi.org/10.1007/s11160-016-9435-0.","productDescription":"36 p.","startPage":"405","endPage":"440","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063445","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":324249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-04","publicationStatus":"PW","scienceBaseUri":"576ba89fe4b07657d1a1769e","contributors":{"authors":[{"text":"Lorenzen, Kai","contributorId":169476,"corporation":false,"usgs":false,"family":"Lorenzen","given":"Kai","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":638845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":638843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Entsua-Mensah, R. 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The genomic characteristics of this IAV strain with a previously undetected subtype combination suggest recent viral evolution within the New World wild-bird IAV reservoir.
","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/genomeA.00520-16","usgsCitation":"Ramey, A.M., Reeves, A.B., Poulson, R.L., Carter, D.L., Davis-Fields, N., and Stallknecht, D.E., 2016, Genome sequence of a novel H14N7 subtype influenza A virus isolated from a blue-winged teal (Anas discors) harvested in Texas, USA: Genome Announcements, v. 4, no. 3, e00520-16; 2 p., https://doi.org/10.1128/genomeA.00520-16.","productDescription":"e00520-16; 2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-074895","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.00520-16","text":"Publisher Index Page"},{"id":324253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"4","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576ba89ee4b07657d1a1767e","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":638766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":638767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Deborah L.","contributorId":87473,"corporation":false,"usgs":true,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis-Fields, Nicholas","contributorId":171813,"corporation":false,"usgs":false,"family":"Davis-Fields","given":"Nicholas","email":"","affiliations":[{"id":26951,"text":"The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":638770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":638771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70174013,"text":"70174013 - 2016 - Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2018-03-15T10:26:40","indexId":"70174013","displayToPublicDate":"2016-06-22T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin","docAbstract":"Despite progress in the implementation of conservation practices, related improvements in water quality have been challenging to measure in larger river systems. In this paper we quantify these downstream effects by applying the empirical U.S. Geological Survey water-quality model SPARROW to investigate whether spatial differences in conservation intensity were statistically correlated with variations in nutrient loads. In contrast to other forms of water quality data analysis, the application of SPARROW controls for confounding factors such as hydrologic variability, multiple sources and environmental processes. A measure of conservation intensity was derived from the USDA-CEAP regional assessment of the Upper Mississippi River and used as an explanatory variable in a model of the Upper Midwest. The spatial pattern of conservation intensity was negatively correlated (p = 0.003) with the total nitrogen loads in streams in the basin. Total phosphorus loads were weakly negatively correlated with conservation (p = 0.25). Regional nitrogen reductions were estimated to range from 5 to 34% and phosphorus reductions from 1 to 10% in major river basins of the Upper Mississippi region. The statistical associations between conservation and nutrient loads are consistent with hydrological and biogeochemical processes such as denitrification. The results provide empirical evidence at the regional scale that conservation practices have had a larger statistically detectable effect on nitrogen than on phosphorus loadings in streams and rivers of the Upper Mississippi Basin.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b03543","usgsCitation":"Garcia, A.M., Alexander, R.B., Arnold, J.G., Norfleet, L., White, M.J., Robertson, D.M., and Schwarz, G., 2016, Regional effects of agricultural conservation practices on nutrient transport in the Upper Mississippi River Basin: Environmental Science & Technology, v. 50, no. 13, p. 6991-7000, https://doi.org/10.1021/acs.est.5b03543.","productDescription":"10 p.","startPage":"6991","endPage":"7000","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067273","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":470859,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5b03543","text":"Publisher Index Page"},{"id":324247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"13","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"576ba89fe4b07657d1a17688","chorus":{"doi":"10.1021/acs.est.5b03543","url":"http://dx.doi.org/10.1021/acs.est.5b03543","publisher":"American Chemical Society (ACS)","authors":"García Ana María, Alexander Richard B., Arnold Jeffrey G., Norfleet Lee, White Michael J., Robertson Dale M., Schwarz Gregory","journalName":"Environmental Science & Technology","publicationDate":"7/5/2016","auditedOn":"6/23/2016","publiclyAccessibleDate":"6/21/2016"},"contributors":{"authors":[{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Richard B. 0000-0001-9166-0626 ralex@usgs.gov","orcid":"https://orcid.org/0000-0001-9166-0626","contributorId":541,"corporation":false,"usgs":true,"family":"Alexander","given":"Richard","email":"ralex@usgs.gov","middleInitial":"B.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":640415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arnold, Jeffrey G.","contributorId":172345,"corporation":false,"usgs":false,"family":"Arnold","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":640417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norfleet, Lee","contributorId":172346,"corporation":false,"usgs":false,"family":"Norfleet","given":"Lee","email":"","affiliations":[{"id":24598,"text":"USDA-NRCS retired","active":true,"usgs":false}],"preferred":false,"id":640418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Michael J.","contributorId":172348,"corporation":false,"usgs":false,"family":"White","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":640425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":543,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":640419,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173781,"text":"70173781 - 2016 - Resource waves: phenological diversity enhances foraging opportunities for mobile consumers","interactions":[],"lastModifiedDate":"2016-06-22T14:42:08","indexId":"70173781","displayToPublicDate":"2016-06-22T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resource waves: phenological diversity enhances foraging opportunities for mobile consumers","docAbstract":"Time can be a limiting constraint for consumers, particularly when resource phenology mediates foraging opportunity. Though a large body of research has explored how resource phenology influences trophic interactions, this work has focused on the topics of trophic mismatch or predator swamping, which typically occur over short periods, at small spatial extents or coarse resolutions. In contrast many consumers integrate across landscape heterogeneity in resource phenology, moving to track ephemeral food sources that propagate across space as resource waves. Here we provide a conceptual framework to advance the study of phenological diversity and resource waves. We define resource waves, review evidence of their importance in recent case studies, and demonstrate their broader ecological significance with a simulation model. We found that consumers ranging from fig wasps (Chalcidoidea) to grizzly bears (Ursus arctos) exploit resource waves, integrating across phenological diversity to make resource aggregates available for much longer than their component parts. In model simulations, phenological diversity was often more important to consumer energy gain than resource abundance per se. Current ecosystem-based management assumes that species abundance mediates the strength of trophic interactions. Our results challenge this assumption and highlight new opportunities for conservation and management. Resource waves are an emergent property of consumer–resource interactions and are broadly significant in ecology and conservation.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0554.1","usgsCitation":"Armstrong, J., Takimoto, G., Schindler, D.E., Hayes, M.M., and Kauffman, M., 2016, Resource waves: phenological diversity enhances foraging opportunities for mobile consumers: Ecology, v. 97, no. 5, p. 1099-1112, https://doi.org/10.1890/15-0554.1.","productDescription":"14 p.","startPage":"1099","endPage":"1112","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061213","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":324243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"576ba89fe4b07657d1a17693","contributors":{"authors":[{"text":"Armstrong, Jonathan B.","contributorId":98567,"corporation":false,"usgs":true,"family":"Armstrong","given":"Jonathan B.","affiliations":[],"preferred":false,"id":640406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takimoto, Gaku","contributorId":172343,"corporation":false,"usgs":false,"family":"Takimoto","given":"Gaku","email":"","affiliations":[],"preferred":false,"id":640407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel E.","contributorId":83485,"corporation":false,"usgs":true,"family":"Schindler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":640408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":638166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175112,"text":"70175112 - 2016 - Aftershocks of the 2014 South Napa, California, Earthquake: Complex faulting on secondary faults","interactions":[],"lastModifiedDate":"2016-07-29T15:11:33","indexId":"70175112","displayToPublicDate":"2016-06-22T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Aftershocks of the 2014 South Napa, California, Earthquake: Complex faulting on secondary faults","docAbstract":"We investigate the aftershock sequence of the 2014 MW6.0 South Napa, California, earthquake. Low-magnitude aftershocks missing from the network catalog are detected by applying a matched-filter approach to continuous seismic data, with the catalog earthquakes serving as the waveform templates. We measure precise differential arrival times between events, which we use for double-difference event relocation in a 3D seismic velocity model. Most aftershocks are deeper than the mainshock slip, and most occur west of the mapped surface rupture. While the mainshock coseismic and postseismic slip appears to have occurred on the near-vertical, strike-slip West Napa fault, many of the aftershocks occur in a complex zone of secondary faulting. Earthquake locations in the main aftershock zone, near the mainshock hypocenter, delineate multiple dipping secondary faults. Composite focal mechanisms indicate strike-slip and oblique-reverse faulting on the secondary features. The secondary faults were moved towards failure by Coulomb stress changes from the mainshock slip. Clusters of aftershocks north and south of the main aftershock zone exhibit vertical strike-slip faulting more consistent with the West Napa Fault. The northern aftershocks correspond to the area of largest mainshock coseismic slip, while the main aftershock zone is adjacent to the fault area that has primarily slipped postseismically. Unlike most creeping faults, the zone of postseismic slip does not appear to contain embedded stick-slip patches that would have produced on-fault aftershocks. The lack of stick-slip patches along this portion of the fault may contribute to the low productivity of the South Napa aftershock sequence.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120150169","usgsCitation":"Hardebeck, J.L., and Shelly, D.R., 2016, Aftershocks of the 2014 South Napa, California, Earthquake: Complex faulting on secondary faults: Bulletin of the Seismological Society of America, v. 106, no. 3, p. 1100-1109, https://doi.org/10.1785/0120150169.","productDescription":"9 p.","startPage":"1100","endPage":"1109","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066544","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":325841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.44125366210936,\n 38.45789034424927\n ],\n [\n -122.37533569335936,\n 38.38795699631398\n ],\n [\n -122.35198974609375,\n 38.329807044201374\n ],\n [\n -122.34924316406251,\n 38.26406296833964\n ],\n [\n -122.32177734375,\n 38.23278669950994\n ],\n [\n -122.25173950195311,\n 38.23925875585244\n ],\n [\n -122.23663330078124,\n 38.245730236135294\n ],\n [\n -122.24899291992188,\n 38.278078995562105\n ],\n [\n -122.23114013671875,\n 38.30071455572194\n ],\n [\n -122.23526000976561,\n 38.33088431959968\n ],\n [\n -122.29843139648436,\n 38.382574703770246\n ],\n [\n -122.33276367187499,\n 38.42131826945341\n ],\n [\n -122.35198974609375,\n 38.453588708941375\n ],\n [\n -122.40554809570311,\n 38.487994609214795\n ],\n [\n -122.44674682617188,\n 38.504116723098505\n ],\n [\n -122.46322631835938,\n 38.49229419236133\n ],\n [\n -122.44125366210936,\n 38.45789034424927\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"579c7e2ae4b0589fa1ca11c0","contributors":{"authors":[{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":643960,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173952,"text":"70173952 - 2016 - Variability and trends in runoff efficiency in the conterminous United States","interactions":[],"lastModifiedDate":"2017-08-29T09:38:33","indexId":"70173952","displayToPublicDate":"2016-06-22T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Variability and trends in runoff efficiency in the conterminous United States","docAbstract":"Variability and trends in water-year runoff efficiency (RE) — computed as the ratio of water-year runoff (streamflow per unit area) to water-year precipitation — in the conterminous United States (CONUS) are examined for the 1951 through 2012 period. Changes in RE are analyzed using runoff and precipitation data aggregated to United States Geological Survey 8-digit hydrologic cataloging units (HUs). Results indicate increases in RE for some regions in the north-central CONUS and large decreases in RE for the south-central CONUS. The increases in RE in the north-central CONUS are explained by trends in climate, whereas the large decreases in RE in the south-central CONUS likely are related to groundwater withdrawals from the Ogallala aquifer to support irrigated agriculture.
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matrix?","interactions":[],"lastModifiedDate":"2016-11-09T10:28:02","indexId":"70173930","displayToPublicDate":"2016-06-22T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3835,"text":"Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing species interactions to understand press perturbations: What is the community matrix?","docAbstract":"The community matrix is among ecology's most important mathematical abstractions, formally encapsulating the interconnected network of effects that species have on one another's populations. Despite its importance, the term `community matrix' has been applied to matrices having differing interpretations. This has hindered the application of theory for understanding community structure and perturbation responses, particularly in the contexts of ecosystem-based management and conservation. Here we clarify the correspondence and distinctions between the Interaction matrix, the Alpha matrix and the Jacobian matrix, terms which are frequently used interchangeably and have numerous synonyms, including the term Community matrix. We illustrate how these matrices correspond to different ways of characterizing interaction strengths, how they permit insights regarding different types of press perturbations of species growth rates or abundances, and how these are related by a simple scaling relationship. Connections to additional interaction strength characterizations encapsulated by the Beta matrix, the Gamma matrix, and the Removal matrix are also discussed. Our synthesis highlights the empirical challenges that remain in using these mathematical tools to understand actual communities.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-ecolsys-032416-010215","usgsCitation":"Novak, M., Yeakel, J.D., Noble, A.E., Doak, D.F., Emmerson, M., Estes, J.A., Jacob, U., Tinker, M.T., and Wootton, J.T., 2016, Characterizing species interactions to understand press perturbations: What is the community matrix?: Ecology, Evolution, and Systematics, v. 47, p. 409-432, https://doi.org/10.1146/annurev-ecolsys-032416-010215.","productDescription":"24 p.","startPage":"409","endPage":"432","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073105","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-ecolsys-032416-010215","text":"Publisher Index Page"},{"id":324216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576ba89de4b07657d1a17657","contributors":{"authors":[{"text":"Novak, Mark","contributorId":45229,"corporation":false,"usgs":false,"family":"Novak","given":"Mark","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":639501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeakel, Justin D.","contributorId":81418,"corporation":false,"usgs":true,"family":"Yeakel","given":"Justin","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":639502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Noble, Andrew E.","contributorId":172062,"corporation":false,"usgs":false,"family":"Noble","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":639503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":639504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmerson, Mark","contributorId":93404,"corporation":false,"usgs":true,"family":"Emmerson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":639505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estes, James A. jim_estes@usgs.gov","contributorId":53325,"corporation":false,"usgs":true,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":639506,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jacob, Ute","contributorId":172063,"corporation":false,"usgs":false,"family":"Jacob","given":"Ute","email":"","affiliations":[{"id":26973,"text":"University of Hamburg","active":true,"usgs":false}],"preferred":false,"id":639507,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tinker, M. Tim 0000-0002-3314-839X ttinker@usgs.gov","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":2796,"corporation":false,"usgs":true,"family":"Tinker","given":"M.","email":"ttinker@usgs.gov","middleInitial":"Tim","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":639500,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wootton, J. Timothy","contributorId":84283,"corporation":false,"usgs":true,"family":"Wootton","given":"J.","email":"","middleInitial":"Timothy","affiliations":[],"preferred":false,"id":639508,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70174009,"text":"ofr20161107 - 2016 - Evaluating water management scenarios to support habitat management for the Cape Sable seaside sparrow","interactions":[],"lastModifiedDate":"2016-06-23T17:09:46","indexId":"ofr20161107","displayToPublicDate":"2016-06-22T13:00:00","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":"2016-1107","title":"Evaluating water management scenarios to support habitat management for the Cape Sable seaside sparrow","docAbstract":"The endangered Cape Sable seaside sparrow (Ammodramus maritimus mirabilis) is endemic to south Florida and a key indicator species of marl prairie, a highly diverse freshwater community in the Florida Everglades. Maintenance and creation of suitable habitat is seen as the most important pathway to the persistence of the six existing sparrow subpopulations; however, major uncertainties remain in how to increase suitable habitat within and surrounding these subpopulations, which are vulnerable to environmental stochasticity. Currently, consistently suitable conditions for the Cape Sable seaside sparrow are only present in two of these subpopulations (B and E). The water management scenarios evaluated herein were intended to lower water levels and improve habitat conditions in subpopulation A and D, raise water levels to improve habitat conditions in subpopulations C and F, and minimize impacts to subpopulations B and E. Our objective in this analysis was to compare these scenarios utilizing a set of metrics (short- to long-time scales) that relate habitat suitability to hydrologic conditions. Although hydrologic outputs are similar across scenarios in subpopulation A, scenario R2H reaches the hydroperiod and depth suitability targets more than the other scenarios relative to ECB, while minimizing negative consequences to subpopulation E. However, although R2H hydroperiods are longer than those for ECB during the wet season in subpopulations C and F, depths during the breeding season are predicted to decrease in suitability (less than -50 cm) relative to existing conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161107","usgsCitation":"Beerens, J.M., Romañach, S.S., and McKelvy, Mark. 2016, Evaluating water management scenarios to support habitat management for the Cape Sable seaside sparrow: U.S. Geological Survey Open-File Report 2016-1107, 62 p., https://dx.doi.org/10.3133/ofr20161107.","productDescription":"x, 52 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076424","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":324233,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1107/ofr20161107.pdf","text":"Report","size":"5.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1107"},{"id":324232,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1107/coverthb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.84814453125,\n 25.110471486223346\n ],\n [\n -81.84814453125,\n 26.23430203240673\n ],\n [\n -80.079345703125,\n 26.23430203240673\n ],\n [\n -80.079345703125,\n 25.110471486223346\n ],\n [\n -81.84814453125,\n 25.110471486223346\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey,
7920 NW 71 Street
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https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc
","tableOfContents":"In the immediate aftermath of natural disasters, public health officials and other first responders engage in many activities to protect the public and ecosystems in the affected area. These activities include critical tasks designed to minimize adverse consequences resulting from chemical and microbial contaminant exposures, such as acute disease incidence and transmission. However, once these urgent priorities have been met and situations requiring immediate attention have been stabilized, questions regarding the potential longer term threats to humans and ecosystems associated with persistent contaminant exposures remain. Research conducted to address these questions is frequently challenged by the lack of available baseline contaminant information collected before the event for comparison and perspective. In addition, deployments of field crews and collection of environmental samples typically occur days, weeks, or months after the event. Consequently, during and in the aftermath of disasters, public health agencies commonly advise the public to disinfect water, avoid contact with disturbed infrastructure (such as sewer lines), and (or) refrain from use of recreational waters, with the general focus on acute health threats; however, the persisting effects of such releases on local recreational waters, fisheries, and other estuarine habitats are often undetermined.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.05.045","usgsCitation":"Reilly, T.J., Focazio, M.J., and Simmons, D.L., 2016, Resetting the bar: Establishing baselines for persistent contaminants after Hurricane Sandy in the coastal environments of New Jersey and New York, USA: Marine Pollution Bulletin, v. 107, no. 2, p. 414-421, https://doi.org/10.1016/j.marpolbul.2016.05.045.","productDescription":"8 p.","startPage":"414","endPage":"421","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070873","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":324212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.52001953125,\n 38.57393751557591\n ],\n [\n -75.52001953125,\n 41.57436130598913\n ],\n [\n -71.7901611328125,\n 41.57436130598913\n ],\n [\n -71.7901611328125,\n 38.57393751557591\n ],\n [\n -75.52001953125,\n 38.57393751557591\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576ba89fe4b07657d1a1768e","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":629958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Dale L. dsimmons@usgs.gov","contributorId":575,"corporation":false,"usgs":true,"family":"Simmons","given":"Dale","email":"dsimmons@usgs.gov","middleInitial":"L.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":629959,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}