{"pageNumber":"139","pageRowStart":"3450","pageSize":"25","recordCount":10458,"records":[{"id":70146555,"text":"70146555 - 2015 - Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons","interactions":[],"lastModifiedDate":"2015-04-17T10:41:43","indexId":"70146555","displayToPublicDate":"2015-04-17T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons","docAbstract":"<p><span>Environmental DNA (eDNA) methods are used to detect DNA that is shed into the aquatic environment by cryptic or low density species. Applied in eDNA studies, occupancy models can be used to estimate occurrence and detection probabilities and thereby account for imperfect detection. However, occupancy terminology has been applied inconsistently in eDNA studies, and many have calculated occurrence probabilities while not considering the effects of imperfect detection. Low detection of invasive giant constrictors using visual surveys and traps has hampered the estimation of occupancy and detection estimates needed for population management in southern Florida, USA. Giant constrictor snakes pose a threat to native species and the ecological restoration of the Florida Everglades. To assist with detection, we developed species-specific eDNA assays using quantitative PCR (qPCR) for the Burmese python (</span><i>Python molurus bivittatus</i><span>), Northern African python (</span><i>P</i><span>.&nbsp;</span><i>sebae</i><span>), boa constrictor (</span><i>Boa constrictor</i><span>), and the green (</span><i>Eunectes murinus</i><span>) and yellow anaconda (</span><i>E</i><span>.&nbsp;</span><i>notaeus</i><span>). Burmese pythons, Northern African pythons, and boa constrictors are established and reproducing, while the green and yellow anaconda have the potential to become established. We validated the python and boa constrictor assays using laboratory trials and tested all species in 21 field locations distributed in eight southern Florida regions. Burmese python eDNA was detected in 37 of 63 field sampling events; however, the other species were not detected. Although eDNA was heterogeneously distributed in the environment, occupancy models were able to provide the first estimates of detection probabilities, which were greater than 91%. Burmese python eDNA was detected along the leading northern edge of the known population boundary. The development of informative detection tools and eDNA occupancy models can improve conservation efforts in southern Florida and support more extensive studies of invasive constrictors. Generic sampling design and terminology are proposed to standardize and clarify interpretations of eDNA-based occupancy models.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0121655","usgsCitation":"Hunter, M., Oyler-McCance, S.J., Dorazio, R.M., Fike, J.A., Smith, B.J., Hunter, C.T., Reed, R., and Hart, K.M., 2015, Environmental DNA (eDNA) sampling improves occurrence and detection estimates of invasive Burmese pythons: PLoS ONE, v. 10, no. 4, e0121655; 17 p., https://doi.org/10.1371/journal.pone.0121655.","productDescription":"e0121655; 17 p.","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055221","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":472142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0121655","text":"Publisher Index Page"},{"id":299753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.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              25.07316070640961\n            ],\n            [\n              -81.84814453125,\n              26.509904531413927\n            ],\n            [\n              -80.19195556640625,\n              26.509904531413927\n            ],\n            [\n              -80.19195556640625,\n              25.07316070640961\n            ],\n            [\n              -81.84814453125,\n              25.07316070640961\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-15","publicationStatus":"PW","scienceBaseUri":"553220a0e4b0b22a158063b3","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140314,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":545130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":545131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":545132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. fikej@usgs.gov","contributorId":4564,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":545133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Brian J. 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":899,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":545134,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Charles T.","contributorId":140315,"corporation":false,"usgs":false,"family":"Hunter","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":545135,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Robert N. reedr@usgs.gov","contributorId":140316,"corporation":false,"usgs":true,"family":"Reed","given":"Robert N.","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":545136,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":545137,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70146520,"text":"70146520 - 2015 - Critical metals in manganese nodules from the Cook Islands EEZ, abundances and distributions","interactions":[],"lastModifiedDate":"2019-12-11T08:33:52","indexId":"70146520","displayToPublicDate":"2015-04-16T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Critical metals in manganese nodules from the Cook Islands EEZ, abundances and distributions","docAbstract":"<p id=\"sp0005\">The Cook Islands (CIs) Exclusive Economic Zone (EEZ) encompasses 1,977,000&nbsp;km<sup>2</sup>&nbsp;and includes the Penrhyn and Samoa basins abyssal plains where manganese nodules flourish due to the availability of prolific nucleus material, slow sedimentation rates, and strong bottom currents. A group of CIs nodules was analyzed for mineralogical and chemical composition, which include many critical metals not before analyzed for CIs nodules. These nodules have varying sizes and nuclei material; however all are composed predominantly of &delta;-MnO<sub>2</sub>&nbsp;and X-ray amorphous iron oxyhydroxide. The mineralogy, Fe/Mn ratios, rare earth element contents, and slow growth rates (mean 1.9&nbsp;mm/10<sup>6</sup>&nbsp;years) reflect formation primarily by hydrogenetic precipitation. The paucity of diagenetic input can be explained by low primary productivity at the surface and resultant low organic matter content in seafloor sediment, producing oxic seafloor and sub-seafloor environments. The nodules contain high mean contents of Co (0.41%), Ni (0.38%), Ti (1.20%), and total rare earth elements plus yttrium (REY; 0.167%), and also high contents of Mo, Nb, V, W, and Zr.</p>\n<p id=\"sp0010\">Compiled data from a series of four cruises by the Japan International Cooperation Agency and the Mining agency of Japan from 1985 to 2000 were used to generate a map that defines the statistical distribution of nodule abundance throughout the EEZ, except the Manihiki Plateau. The abundance distribution map shows a belt of high nodule abundance (19&ndash;45&nbsp;kg/m<sup>2</sup>) that starts in the southeast corner of the EEZ, runs northwest, and also bifurcates into a SW trending branch. Small, isolated areas contain abundances of nodules of up to 58&nbsp;kg/m<sup>2</sup>. Six ~&nbsp;20,000&nbsp;km<sup>2</sup>&nbsp;areas of particularly high abundance were chosen to represent potential exploration areas, and maps for metal concentration were generated to visualize metal distribution and to extrapolate estimated metal tonnages within the six sites and the EEZ as a whole. Grades for Mn, Cu, and Ni are low in CIs nodules in areas of high abundance; however, Ti, Co, and REY show high contents where nodule abundances are high. Of the six areas identified to represent a range of metal contents, one at the northern end of the N-S abundance main belt optimizes the most metals and would yield the highest dry metric tons for Mn (61,002,292), Ni (1,247,834), Mo (186,166), V (356,247), W (30,215), and Zr (195,323). When compared with the Clarion&ndash;Clipperton Zone, the CIs nodules show higher nodule abundances (&gt;&nbsp;25&nbsp;kg/m<sup>2</sup>&nbsp;over ~&nbsp;123,844&nbsp;km<sup>2</sup>), and are more enriched in the green-tech, high-tech, and energy metals Co, Ti, Te, Nb, REY, Pt, and Zr. The CIs EEZ shows a significant resource potential for these critical metals due to their high prices, high demand, and the high nodule abundance, which will allow for a smaller footprint for a 20-year mine site and therefore smaller environmental impact.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2014.12.011","usgsCitation":"Hein, J.R., Spinardi, F., Okamoto, N., Mizell, K., Thorburn, D., and Tawake, A., 2015, Critical metals in manganese nodules from the Cook Islands EEZ, abundances and distributions: Ore Geology Reviews, v. 68, p. 97-116, https://doi.org/10.1016/j.oregeorev.2014.12.011.","productDescription":"20 p.","startPage":"97","endPage":"116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059336","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cook Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.20263671875,\n              -21.616579336740593\n            ],\n            [\n              -159.49951171875,\n              -21.616579336740593\n            ],\n            [\n              -159.49951171875,\n              -20.776659051878816\n            ],\n            [\n              -160.20263671875,\n              -20.776659051878816\n            ],\n            [\n              -160.20263671875,\n              -21.616579336740593\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"68","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5530cf1ee4b0b22a15806137","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":2828,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":545016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spinardi, Francesca fspinardi@usgs.gov","contributorId":4916,"corporation":false,"usgs":true,"family":"Spinardi","given":"Francesca","email":"fspinardi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":545017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okamoto, Nobuyuki","contributorId":140284,"corporation":false,"usgs":false,"family":"Okamoto","given":"Nobuyuki","email":"","affiliations":[{"id":13441,"text":"Sea-Floor Mineral Resources R&D Division, Metals Mining Technology Dept.,   JOGMEC, 2-10-1 Toranomon, Minato-ku, Tokyo 105-0001, Japan","active":true,"usgs":false}],"preferred":false,"id":545018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":545019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorburn, Darryl","contributorId":140285,"corporation":false,"usgs":false,"family":"Thorburn","given":"Darryl","email":"","affiliations":[{"id":13442,"text":"Seabed Minerals Authority, Avarua, Rarotonga, Cook Islands","active":true,"usgs":false}],"preferred":false,"id":545020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tawake, Akuila","contributorId":140286,"corporation":false,"usgs":false,"family":"Tawake","given":"Akuila","email":"","affiliations":[{"id":13443,"text":"SOPAC Division of the SPC, Private Mail Bag, GPO, Suva, Fiji Islands","active":true,"usgs":false}],"preferred":false,"id":545021,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70145818,"text":"70145818 - 2015 - First record of black band disease in the Hawaiian archipelago: response, outbreak, status, virulence, and a method of treatment","interactions":[],"lastModifiedDate":"2015-04-10T15:56:24","indexId":"70145818","displayToPublicDate":"2015-04-10T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"First record of black band disease in the Hawaiian archipelago: response, outbreak, status, virulence, and a method of treatment","docAbstract":"<p><span>A high number of coral colonies,&nbsp;</span><i>Montipora</i><span>&nbsp;spp., with progressive tissue loss were reported from the north shore of Kaua&lsquo;i by a member of the Eyes of the Reef volunteer reporting network. The disease has a distinct lesion (semi-circular pattern of tissue loss with an adjacent dark band) that was first observed in Hanalei Bay, Kaua&lsquo;i in 2004. The disease, initially termed</span><i>Montipora</i><span>&nbsp;banded tissue loss, appeared grossly similar to black band disease (BBD), which affects corals worldwide. Following the initial report, a rapid response was initiated as outlined in Hawai&lsquo;i&rsquo;s rapid response contingency plan to determine outbreak status and investigate the disease. Our study identified the three dominant bacterial constituents indicative of BBD (filamentous cyanobacteria, sulfate-reducing bacteria, sulfide-oxidizing bacteria) in coral disease lesions from Kaua&lsquo;i, which provided the first evidence of BBD in the Hawaiian archipelago. A rapid survey at the alleged outbreak site found disease to affect 6-7% of the montiporids, which is higher than a prior prevalence of less than 1% measured on Kaua&lsquo;i in 2004, indicative of an epizootic. Tagged colonies with BBD had an average rate of tissue loss of 5.7 cm<sup>2</sup>/day over a two-month period. Treatment of diseased colonies with a double band of marine epoxy, mixed with chlorine powder, effectively reduced colony mortality. Within two months, treated colonies lost an average of 30% less tissue compared to untreated controls.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0120853","usgsCitation":"Aeby, G.S., Work, T.M., Runyon, C.M., Shore-Maggio, A., Ushijima, B., Videau, P., Beurmann, S., and Callahan, S.M., 2015, First record of black band disease in the Hawaiian archipelago: response, outbreak, status, virulence, and a method of treatment: PLoS ONE, v. 10, no. 3, 17 p.; e0120853, https://doi.org/10.1371/journal.pone.0120853.","productDescription":"17 p.; e0120853","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060848","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0120853","text":"Publisher Index Page"},{"id":299594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua‘i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.7247314453125,\n              22.147979746099793\n            ],\n            [\n              -159.57984924316406,\n              22.22046279807357\n            ],\n            [\n              -159.50637817382812,\n              22.201391936617412\n            ],\n            [\n              -159.49539184570312,\n              22.2217340966701\n            ],\n            [\n              -159.3999481201172,\n              22.22427665929108\n            ],\n            [\n              -159.345703125,\n              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thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":544418,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runyon, Christina M.","contributorId":140140,"corporation":false,"usgs":false,"family":"Runyon","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":544420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shore-Maggio, Amanda","contributorId":48475,"corporation":false,"usgs":false,"family":"Shore-Maggio","given":"Amanda","email":"","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":544421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ushijima, Blake","contributorId":91782,"corporation":false,"usgs":false,"family":"Ushijima","given":"Blake","email":"","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":544422,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Videau, Patrick","contributorId":100740,"corporation":false,"usgs":false,"family":"Videau","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":544423,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beurmann, Silvia","contributorId":140141,"corporation":false,"usgs":false,"family":"Beurmann","given":"Silvia","email":"","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":544424,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Callahan, Sean M.","contributorId":97420,"corporation":false,"usgs":false,"family":"Callahan","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":544425,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70144368,"text":"70144368 - 2015 - Global trends in emerging viral diseases of wildlife origin","interactions":[],"lastModifiedDate":"2020-08-24T19:28:40.037907","indexId":"70144368","displayToPublicDate":"2015-04-10T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Global trends in emerging viral diseases of wildlife origin","docAbstract":"<p>Fifty years ago, infectious diseases were rarely considered threats to wildlife&nbsp;populations, and the study of wildlife diseases was largely a neglected endeavor.&nbsp;Furthermore, public health leaders at that time had declared that &ldquo;it is time to&nbsp;close the book on infectious diseases and the war against pestilence won,&rdquo; a quote&nbsp;attributed to Dr. William H. Stewart in 1967. There is some debate whether he&nbsp;actually said these words; however, they reflect the widespread belief at that time&nbsp;(Spellberg, 2008). Leap forward to today, and the book on infectious diseases has&nbsp;been dusted off. There is general consensus that the global environment favors&nbsp;the emergence of infectious diseases, and in particular, diseases of wildlife origin&nbsp;(Taylor et al., 2001). Examples of drivers of these infectious diseases include climate&nbsp;and landscape changes, human demographic and behavior changes, global&nbsp;travel and trade, microbial adaptation, and lack of appropriate infrastructure for&nbsp;wildlife disease control and prevention (Daszak et al., 2001). The consequences&nbsp;of these emerging diseases are global and profound with increased burden on the&nbsp;public health system, negative impacts on the global economy and food security,&nbsp;declines and extinctions of wildlife species, and subsequent loss of ecosystem&nbsp;integrity. For example, 35 million people are currently living with HIV infection&nbsp;globally (http://www.who.int/gho/hiv/en); 400 million poultry have been&nbsp;culled since 2003 as a result of efforts to control highly pathogenic H5N1 avian&nbsp;influenza (http://www.fao.org/avianflu/en/index.html), and there are increasing&nbsp;biological and ecological consequences.</p>\n<p>Examples of health threats to biodiversity include the &ldquo;spillover&rdquo; of human&nbsp;diseases to great ape populations (K&ouml;ndgen et al., 2008), the near-extirpation of&nbsp;the black-footed ferret from canine distemper and sylvatic plague (for a review&nbsp;see Abbott et al., 2012), and threats to Hawaiian forest birds from introduced&nbsp;pathogens such as avian malaria and avian pox (van Riper et al., 1986, 2002).&nbsp;There are also newly discovered pathogens or diseases that have resulted in&nbsp;population declines, and global extinctions of several species. Examples include&nbsp;Batrachochytrium dendrobatidis, which causes a cutaneous fungal infection of&nbsp;amphibians and is linked to declines of amphibians globally (Kriger and Hero,&nbsp;2009); and recently discovered Pseudogymnoascus (Geomyces) destructans, the&nbsp;etiologic agent of white-nose syndrome (WNS), which has caused precipitous&nbsp;declines of North American bat species (Blehert et al., 2009). Furthermore, there&nbsp;is increasing evidence of the subsequent impacts on human and ecosystem health;&nbsp;for example, increasing risk of exposure to Lyme disease as a consequence of&nbsp;decreased biodiversity (LoGiudice et al., 2003) as well as the economic cost of&nbsp;the loss of bats due to decreased insect control services (Boyles et al., 2011).&nbsp;Figure A12-1 is a timeline of important diseases investigated by the U.S. Geological&nbsp;Survey since the 1970s, which illustrates three factors:</p>\n<p>1. The unprecedented emergence of new pathogens and geographic spread&nbsp;of known pathogens since the 1990s;</p>\n<p>2. Diseases are increasingly causing large-scale, negative impacts on wildlife&nbsp;populations and spreading over larger geographic areas rather than&nbsp;remaining localized; and</p>\n<p>3. Diseases are increasingly of concern for multiple sectors, including public&nbsp;health, agriculture and wildlife management agencies.</p>\n<p>Of increasing concern are these novel diseases such as WNS as they are hard&nbsp;to anticipate, particularly devastating to human health or wildlife populations,&nbsp;challenging to manage, spread over large geographic areas in short time periods,&nbsp;and may result in ecological ripple effects that are difficult to predict.</p>\n<p>The following article provides examples of recently emerged viral diseases&nbsp;of wildlife origin. The examples have been selected to illustrate the drivers of&nbsp;emerging viral diseases, both novel pathogens and previously known diseases,&nbsp;the impacts of these diseases, as well as the role of wildlife both as &ldquo;villains&rdquo; or&nbsp;reservoirs as well as &ldquo;victims&rdquo; of these viral diseases. The article also discusses&nbsp;potential management strategies for emerging viral diseases in wildlife populations&nbsp;and future science directions in wildlife health to prevent, prepare, respond&nbsp;to, and recover from these disease events. Finally, the concept of One Health&nbsp;and its potential role in developing solutions to these issues of mutual concern&nbsp;is discussed.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Emerging viral dieases: the One Health connection: workshop summary","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Emerging Viral Diseases: The \"One Health\" Connection","conferenceDate":"March 18-19, 2014","conferenceLocation":"Washington, D.C.","language":"English","publisher":"The National Academies Press","publisherLocation":"Washington, D.C.","isbn":"9780309313971","usgsCitation":"Sleeman, J.M., and Ip, S., 2015, Global trends in emerging viral diseases of wildlife origin, <i>in</i> Emerging viral dieases: the One Health connection: workshop summary, Washington, D.C., March 18-19, 2014, p. 248-262.","productDescription":"15 p.","startPage":"248","endPage":"262","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058814","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":299562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299561,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nap.edu/catalog/18975/emerging-viral-diseases-the-one-health-connection-workshop-summary"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5528e61ce4b026915857cafe","contributors":{"authors":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":543549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":543550,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70144936,"text":"70144936 - 2015 - Not putting all their eggs in one basket: bet-hedging despite extraordinary annual reproductive output of desert tortoises","interactions":[],"lastModifiedDate":"2015-04-27T13:40:37","indexId":"70144936","displayToPublicDate":"2015-04-02T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1019,"text":"Biological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"title":"Not putting all their eggs in one basket: bet-hedging despite extraordinary annual reproductive output of desert tortoises","docAbstract":"<p><span>Bet-hedging theory makes the counter-intuitive prediction that, if juvenile survival is low and unpredictable, organisms should consistently reduce short-term reproductive output to minimize the risk of reproductive failure in the long-term. We investigated the long-term reproductive output of an Agassiz's desert tortoise (</span><i>Gopherus agassizii</i><span>) population and conformance to a bet-hedging strategy of reproduction in an unpredictable but comparatively productive environment. Most females reproduced every year, even during periods of low precipitation and poor germination of food plants, and the mean percentage of reproducing females did not differ significantly on an annual basis. Although mean annual egg production (clutch size&thinsp;&times;&thinsp;clutch frequency) differed significantly among years, mean clutch size and mean clutch frequency remained relatively constant. During an El Ni&ntilde;o year, mean annual egg production and mean annual clutch frequency were the highest ever reported for this species. Annual egg production was positively influenced by maternal body size but clutch size and clutch frequency were not. Our long-term results confirm earlier conclusions based on short-term research that desert tortoises have a bet-hedging strategy of producing small clutches almost every year. The risk of long-term reproductive failure is minimized in unpredictable environments, both through time by annually producing multiple small clutches over a long reproductive lifespan, even in years of low resource availability, and through space by depositing multiple annual clutches in different locations. The extraordinary annual reproductive output of this population appears to be the result of a typically high but unpredictable biomass of annual food plants at the site relative to tortoise habitat in dryer regions. Under the comparatively productive but unpredictable conditions, tortoises conform to predictions of a bet-hedging strategy of reproduction with relatively small but consistent clutch sizes.</span></p>","language":"English","publisher":"The Linnean Society of London","doi":"10.1111/bij.12505","usgsCitation":"Lovich, J.E., Ennen, J., Yackulic, C.B., Meyer-Wilkins, K., Agha, M., Loughran, C.L., Bjurlin, C., Austin, M., and Madrak, S.V., 2015, Not putting all their eggs in one basket: bet-hedging despite extraordinary annual reproductive output of desert tortoises: Biological Journal of the Linnean Society, v. 115, no. 2, p. 399-410, https://doi.org/10.1111/bij.12505.","productDescription":"12 p.","startPage":"399","endPage":"410","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059628","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":472160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/bij.12505","text":"Publisher Index Page"},{"id":299271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-19","publicationStatus":"PW","scienceBaseUri":"551e5a20e4b027f0aee3b87f","chorus":{"doi":"10.1111/bij.12505","url":"http://dx.doi.org/10.1111/bij.12505","publisher":"Oxford University Press (OUP)","authors":"Lovich Jeffrey E., Ennen Joshua R., Yackulic Charles B., Meyer-Wilkins Kathie, Agha Mickey, Loughran Caleb, Bjurlin Curtis, Austin Meaghan, Madrak Sheila","journalName":"Biological Journal of the Linnean Society","publicationDate":"3/19/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":543849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":543856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":543850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false},{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":543851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loughran, Caleb L.","contributorId":26599,"corporation":false,"usgs":true,"family":"Loughran","given":"Caleb","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":543852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bjurlin, Curtis","contributorId":90183,"corporation":false,"usgs":false,"family":"Bjurlin","given":"Curtis","affiliations":[],"preferred":false,"id":543853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Austin, Meaghan","contributorId":37244,"corporation":false,"usgs":true,"family":"Austin","given":"Meaghan","affiliations":[],"preferred":false,"id":543854,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":543855,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70147071,"text":"70147071 - 2015 - Targeting climate diversity in conservation planning to build resilience to climate change","interactions":[],"lastModifiedDate":"2018-09-18T10:34:24","indexId":"70147071","displayToPublicDate":"2015-04-01T13:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Targeting climate diversity in conservation planning to build resilience to climate change","docAbstract":"<p>Climate change is raising challenging concerns for systematic conservation planning. Are methods based on the current spatial patterns of biodiversity effective given long-term climate change? Some conservation scientists argue that planning should focus on protecting the abiotic diversity in the landscape, which drives patterns of biological diversity, rather than focusing on the distribution of focal species, which shift in response to climate change. Climate is one important abiotic driver of biodiversity patterns, as different climates host different biological communities and genetic pools. We propose conservation networks that capture the full range of climatic diversity in a region will improve the resilience of biotic communities to climate change compared to networks that do not. In this study we used historical and future hydro-climate projections from the high resolution Basin Characterization Model to explore the utility of directly targeting climatic diversity in planning. Using the spatial planning tool, Marxan, we designed conservation networks to capture the diversity of climate types, at the regional and sub-regional scale, and compared them to networks we designed to capture the diversity of vegetation types. By focusing on the Conservation Lands Network (CLN) of the San Francisco Bay Area as a real-world case study, we compared the potential resilience of networks by examining two factors: the range of climate space captured, and climatic stability to 18 future climates, reflecting different emission scenarios and global climate models. We found that the climate-based network planned at the sub-regional scale captured a greater range of climate space and showed higher climatic stability than the vegetation and regional based-networks. At the same time, differences among network scenarios are small relative to the variance in climate stability across global climate models. Across different projected futures, topographically heterogeneous areas consistently show greater climate stability than homogenous areas. The analysis suggests that utilizing high-resolution climate and hydrological data in conservation planning improves the likely resilience of biodiversity to climate change. We used these analyses to suggest new conservation priorities for the San Francisco Bay Area.</p>","language":"English","publisher":"Ecological Society of America","publisherLocation":"Washington, D.C.","doi":"10.1890/ES14-00313.1","usgsCitation":"Heller, N.E., Kreitler, J.R., Ackerly, D., Weiss, S., Recinos, A., Branciforte, R., Flint, L.E., Flint, A.L., and Micheli, E., 2015, Targeting climate diversity in conservation planning to build resilience to climate change: Ecosphere, v. 6, no. 4, p. 1-20, https://doi.org/10.1890/ES14-00313.1.","productDescription":"20 p.","startPage":"1","endPage":"20","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":472162,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1890/es14-00313.1","text":"External Repository"},{"id":299894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-24","publicationStatus":"PW","scienceBaseUri":"553f5dbbe4b0a658d7938cfc","contributors":{"authors":[{"text":"Heller, Nicole E.","contributorId":140429,"corporation":false,"usgs":false,"family":"Heller","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":13495,"text":"Dwight Center for Conservation Science at Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":545619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":545618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":545620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Stuart","contributorId":7590,"corporation":false,"usgs":true,"family":"Weiss","given":"Stuart","email":"","affiliations":[],"preferred":false,"id":545621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Recinos, Amanda","contributorId":140430,"corporation":false,"usgs":false,"family":"Recinos","given":"Amanda","email":"","affiliations":[{"id":13496,"text":"GreenInfo Network","active":true,"usgs":false}],"preferred":false,"id":545622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Branciforte, Ryan","contributorId":140431,"corporation":false,"usgs":false,"family":"Branciforte","given":"Ryan","email":"","affiliations":[{"id":13497,"text":"Bay Area Open Space Council","active":true,"usgs":false}],"preferred":false,"id":545623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545624,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545625,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Micheli, Elisabeth","contributorId":105615,"corporation":false,"usgs":true,"family":"Micheli","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":545626,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70150450,"text":"70150450 - 2015 - Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","interactions":[],"lastModifiedDate":"2015-06-26T10:29:45","indexId":"70150450","displayToPublicDate":"2015-04-01T11:30:00","publicationYear":"2015","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":"Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs","docAbstract":"<p>Toxic blooms of golden alga (<i>Prymnesium parvum</i>) have caused substantial ecological and economic harm in freshwater and marine systems throughout the world. In North America, toxic blooms have impacted freshwater systems including large reservoirs. Management of water chemistry is one proposed option for golden alga control in these systems. The main objective of this study was to assess physicochemical characteristics of water that influence golden alga presence, abundance, and toxicity in the Upper Colorado River basin (UCR) in Texas. The UCR contains reservoirs that have experienced repeated blooms and other reservoirs where golden alga is present but has not been toxic. We quantified golden alga abundance (hemocytometer counts), ichthyotoxicity (bioassay), and water chemistry (surface grab samples) at three impacted reservoirs on the Colorado River; two reference reservoirs on the Concho River; and three sites at the confluence of these rivers. Sampling occurred monthly from January 2010 to July 2011. Impacted sites were characterized by higher specific conductance, calcium and magnesium hardness, and fluoride than reference and confluence sites. At impacted sites, golden alga abundance and toxicity were positively associated with salinity-related variables and blooms peaked at ~10&deg;C and generally did not occur above 20&deg;C. Overall, these findings suggest management of land and water use to reduce hardness or salinity could produce unfavorable conditions for golden alga.</p>","language":"English","publisher":"American Water Resources Association","publisherLocation":"Herndon, VA","doi":"10.1111/jawr.12262","usgsCitation":"VanLandeghem, M., Farooqi, M., Southard, G.M., and Patino, R., 2015, Associations between water physicochemistry and <i>Prymnesium parvum</i> presence, abundance, and toxicity in west Texas reservoirs: Journal of the American Water Resources Association, v. 51, no. 2, p. 471-486, https://doi.org/10.1111/jawr.12262.","productDescription":"16 p.","startPage":"471","endPage":"486","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":302371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-11","publicationStatus":"PW","scienceBaseUri":"558e77aee4b0b6d21dd6593d","contributors":{"authors":[{"text":"VanLandeghem, Matthew M.","contributorId":143728,"corporation":false,"usgs":false,"family":"VanLandeghem","given":"Matthew M.","affiliations":[],"preferred":false,"id":556947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farooqi, Mukhtar","contributorId":143729,"corporation":false,"usgs":false,"family":"Farooqi","given":"Mukhtar","email":"","affiliations":[],"preferred":false,"id":556948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Southard, Greg M.","contributorId":143730,"corporation":false,"usgs":false,"family":"Southard","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":556949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148569,"text":"70148569 - 2015 - Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating","interactions":[],"lastModifiedDate":"2015-06-15T09:56:48","indexId":"70148569","displayToPublicDate":"2015-04-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating","docAbstract":"<p>In the Salton Trough, CA, five rhyolite domes form the Salton Buttes: Mullet Island, Obsidian Butte, Rock Hill, North and South Red Hill, from oldest to youngest. Results presented here include&nbsp;<sup>40</sup>Ar/<sup>39</sup>Ar anorthoclase ages, <sup>238</sup>U-<sup>230</sup>Th zircon crystallization ages, and comparison of remanent paleomagnetic directions with the secular variation curve, which indicate that all domes are Holocene. <sup>238</sup>U-<sup>230</sup>Th zircon crystallization ages are more precise than but within uncertainty of <sup>40</sup>Ar/<sup>39</sup>Ar<span> anorthoclase ages, suggesting that zircon crystallization proceeded until shortly before eruption in all cases except one. Remanent paleomagnetic directions require three eruption periods: (1) Mullet Island, (2) Obsidian Butte, and (3) Rock Hill, North Red Hill, and South Red Hill. Borehole cuttings logs document up to two shallow tephra layers. North and South Red Hills likely erupted within 100 years of each other, with a combined <sup>238</sup>U-<sup>230</sup>Th zircon isochron age of: 2.83 &plusmn; 0.60 ka (2 sigma); paleomagnetic evidence suggests this age predates eruption by hundreds of years (1800 cal BP). Rock Hill erupted closely in time to these eruptions. The Obsidian Butte <sup>238</sup>U-<sup>230</sup>Th isochron age (2.86 &plusmn; 0.96 ka) is nearly identical to the combined Red Hill age, but its Virtual Geomagnetic Pole position suggests a slightly older age. The age of aphyric Mullet Island dome is the least well constrained: zircon crystals are resorbed and the paleomagnetic direction is most distinct; possible Mullet Island ages include ca. 2300, 5900, 6900, and 7700 cal BP. Our results constrain the duration of Salton Buttes volcanism to between ca. 5900 and 500 years.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2015GC005714","usgsCitation":"Wright, H.M., Vazquez, J.A., Champion, D.E., Calvert, A.T., Mangan, M.T., Stelten, M., Cooper, K.M., Herzig, C., and Schriener, A., 2015, Episodic Holocene eruption of the Salton Buttes rhyolites, California, from paleomagnetic, U-Th, and Ar/Ar dating: Geochemistry, Geophysics, Geosystems, v. 16, no. 4, p. 1198-1210, https://doi.org/10.1002/2015GC005714.","productDescription":"13 p.","startPage":"1198","endPage":"1210","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060289","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":472167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gc005714","text":"Publisher Index Page"},{"id":301218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-30","publicationStatus":"PW","scienceBaseUri":"557ff734e4b023124e8ef976","contributors":{"authors":[{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":548656,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":548657,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":548658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stelten, Mark E.","contributorId":58544,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark E.","affiliations":[],"preferred":false,"id":548659,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cooper, Kari M.","contributorId":32814,"corporation":false,"usgs":true,"family":"Cooper","given":"Kari","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":548660,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herzig, Charles","contributorId":141168,"corporation":false,"usgs":false,"family":"Herzig","given":"Charles","email":"","affiliations":[{"id":13702,"text":"El Camino Community College","active":true,"usgs":false}],"preferred":false,"id":548661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schriener, Alexander","contributorId":141169,"corporation":false,"usgs":false,"family":"Schriener","given":"Alexander","email":"","affiliations":[{"id":13703,"text":"CalEnergy","active":true,"usgs":false}],"preferred":false,"id":548662,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70146988,"text":"70146988 - 2015 - Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment","interactions":[],"lastModifiedDate":"2018-08-09T12:40:43","indexId":"70146988","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment","docAbstract":"<p><span>The objective of the present study was to evaluate the relative sensitivity of test organisms in exposures to dilutions of a highly toxic sediment contaminated with metals and organic compounds. One dilution series was prepared using control sand (low total organic carbon [TOC; &lt;0.1%, low binding capacity for contaminants]) and a second dilution series was prepared using control sediment from West Bearskin Lake, Minnesota, USA (high TOC [∼10% TOC, higher binding capacity for contaminants]). Test organisms included an amphipod (</span><i>Hyalella azteca</i><span>; 10-d and 28-d exposures), a midge (</span><i>Chironomus dilutus</i><span>; 20-d and 48-d exposures started with &lt;1-h-old larvae, and 13-d and 48-d exposures started with 7-d-old larvae), and a unionid mussel (</span><i>Lampsilis siliquoidea</i><span>; 28-d exposures). Relative species sensitivity depended on the toxicity endpoint and the diluent. All 3 species were more sensitive in sand dilutions than in West Bearskin Lake sediment dilutions. The &lt;1-h-old </span><i>C. dilutus</i><span> were more sensitive than 7-d-old </span><i>C. dilutus</i><span>, but replicate variability was high in exposures started with the younger midge larvae. Larval biomass and adult emergence endpoints of </span><i>C. dilutus</i><span> exhibited a similar sensitivity. Survival, weight, and biomass of </span><i>H. azteca</i><span> were more sensitive endpoints in 28-d exposures than in 10-d exposures. Weight and biomass of </span><i>L. siliquoidea</i><span> were sensitive endpoints in both sand and West Bearskin Lake sediment dilutions. Metals, ammonia, oil, and other organic contaminants may have contributed to the observed toxicity.</span></p>","language":"English","publisher":"SETAC ","publisherLocation":"New York, NY","doi":"10.1002/etc.2909","usgsCitation":"Ingersoll, C.G., Kunz, J.L., Hughes, J.P., Wang, N., Ireland, D.S., Mount, D.R., Hockett, J., and Valenti, T.W., 2015, Relative sensitivity of an amphipod <i>Hyalella azteca</i>, a midge <i>Chironomus dilutus</i>, and a unionid mussel Lampsilis siliquoidea to a toxic sediment: Environmental Toxicology and Chemistry, v. 34, no. 5, p. 1134-1144, https://doi.org/10.1002/etc.2909.","productDescription":"11 p.","startPage":"1134","endPage":"1144","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060974","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":472170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.2909","text":"Publisher Index Page"},{"id":299913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-05","publicationStatus":"PW","scienceBaseUri":"5540af2de4b0a658d79392b0","contributors":{"authors":[{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Jamie P.","contributorId":49266,"corporation":false,"usgs":true,"family":"Hughes","given":"Jamie","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":545540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ning 0000-0002-2846-3352 nwang@usgs.gov","orcid":"https://orcid.org/0000-0002-2846-3352","contributorId":2818,"corporation":false,"usgs":true,"family":"Wang","given":"Ning","email":"nwang@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":545541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ireland, D. Scott","contributorId":140415,"corporation":false,"usgs":false,"family":"Ireland","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":13484,"text":"U.S. Environmental Protection Agency, Chicago, IL","active":true,"usgs":false}],"preferred":false,"id":545542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mount, David R.","contributorId":150725,"corporation":false,"usgs":false,"family":"Mount","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":18078,"text":"U. S. Environmental Protection Agency, Environmental Effects Research Laboratory, Duluth, Minnesota","active":true,"usgs":false}],"preferred":false,"id":545543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hockett, J. Russell","contributorId":140417,"corporation":false,"usgs":false,"family":"Hockett","given":"J. Russell","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":545544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valenti, Ted W","contributorId":140418,"corporation":false,"usgs":false,"family":"Valenti","given":"Ted","email":"","middleInitial":"W","affiliations":[{"id":13486,"text":"Syngenta Biotechnology, Inc., Research Triangle Park, NC","active":true,"usgs":false}],"preferred":false,"id":545545,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70147015,"text":"70147015 - 2015 - Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge","interactions":[],"lastModifiedDate":"2015-04-27T09:30:34","indexId":"70147015","displayToPublicDate":"2015-04-01T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge","docAbstract":"<p>A natural smoky quartz crystal from Shandong province, China, was characterised by laser ablation ICP-MS, electron probe microanalysis (EPMA) and solution ICP-MS to determine the concentration of twenty-four trace and ultra trace elements. Our main focus was on Ti quantification because of the increased use of this element for titanium-in-quartz (TitaniQ) thermobarometry. Pieces of a uniform growth zone of 9 mm thickness within the quartz crystal were analysed in four different LA-ICP-MS laboratories, three EPMA laboratories and one solution-ICP-MS laboratory. The results reveal reproducible concentrations of Ti (57 &plusmn; 4 &mu;g g<sup>-1</sup>), Al (154 &plusmn; 15 &mu;g g<sup>-1</sup>), Li (30 &plusmn; 2 &mu;g g<sup>-1</sup>), Fe (2.2 &plusmn; 0.3 &mu;g g<sup>-1</sup>), Mn (0.34 &plusmn; 0.04 &mu;g g<sup>-1</sup>), Ge (1.7 &plusmn; 0.2 &mu;g g<sup>-1</sup>) and Ga (0.020 &plusmn; 0.002 &mu;g g<sup>-1</sup>) and detectable, but less reproducible, concentrations of Be, B, Na, Cu, Zr, Sn and Pb. Concentrations of K, Ca, Sr, Mo, Ag, Sb, Ba and Au were below the limits of detection of all three techniques. The uncertainties on the average concentration determinations by multiple techniques and laboratories for Ti, Al, Li, Fe, Mn, Ga and Ge are low; hence, this quartz can serve as a reference material or a secondary reference material for microanalytical applications involving the quantification of trace elements in quartz.</p>","language":"English","publisher":"International Association of Geoanalysts","publisherLocation":"Paris, France","doi":"10.1111/j.1751-908X.2014.00309.x","usgsCitation":"Audetat, A., Garbe-Schonberg, D., Kronz, A., Pettke, T., Rusk, B.G., Donovan, J., and Lowers, H., 2015, Characterisation of a natural quartz crystal as a reference material for microanalytical determination of Ti, Al, Li, Fe, Mn, Ga and Ge: Geostandards and Geoanalytical Research, v. 39, no. 2, p. 171-184, https://doi.org/10.1111/j.1751-908X.2014.00309.x.","productDescription":"14 p.","startPage":"171","endPage":"184","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054953","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":492495,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/37065","text":"External Repository"},{"id":299887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-23","publicationStatus":"PW","scienceBaseUri":"553f5dace4b0a658d7938ce8","contributors":{"authors":[{"text":"Audetat, Andreas","contributorId":140422,"corporation":false,"usgs":false,"family":"Audetat","given":"Andreas","email":"","affiliations":[{"id":13489,"text":"Bayerisches Geoinstitut, Universität Bayreuth, 95440 Bayreuth, Germany","active":true,"usgs":false}],"preferred":false,"id":545592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garbe-Schonberg, Dieter","contributorId":140423,"corporation":false,"usgs":false,"family":"Garbe-Schonberg","given":"Dieter","affiliations":[{"id":13490,"text":"Institute of Geoscience, Christian-Albrechts-Universität Kiel, 24118 Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":545593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kronz, Andreas","contributorId":140424,"corporation":false,"usgs":false,"family":"Kronz","given":"Andreas","email":"","affiliations":[{"id":13491,"text":"Geowissenschaftliches Zentrum, Universität Göttingen, 37077 Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":545594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pettke, Thomas","contributorId":140425,"corporation":false,"usgs":false,"family":"Pettke","given":"Thomas","email":"","affiliations":[{"id":13492,"text":"Institute of Geological Sciences, University of Bern, 3012 Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":545595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rusk, Brian G.","contributorId":23648,"corporation":false,"usgs":true,"family":"Rusk","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":545596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Donovan, John J.","contributorId":86091,"corporation":false,"usgs":true,"family":"Donovan","given":"John J.","affiliations":[],"preferred":false,"id":545597,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":545591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70128708,"text":"70128708 - 2015 - Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","interactions":[],"lastModifiedDate":"2016-07-08T14:42:20","indexId":"70128708","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave","docAbstract":"<p>Stable-isotope analyses are valuable in karst settings, where characterizing biogeochemical cycling of carbon along groundwater flow paths is critical for understanding and protecting sensitive cave and karst water resources. This study quantified the seasonal changes in concentration and isotopic composition (<span>&delta;</span>13C) of aqueous and gaseous carbon species&mdash;dissolved inorganic carbon (DIC) and gaseous carbon dioxide (CO<sup>2</sup>)&mdash;to characterize sources and transfer of these species along a karst flow path, with emphasis on a cave environment. Gas and water samples were collected from the soil and a cave in northwestern Arkansas approximately once a month for one year to characterize carbon cycling along a conceptual groundwater flow path. In the soil, as the DIC concentration increased, the isotopic composition of the DIC became relatively lighter, indicating an organic carbon source for a component of the DIC and corroborating soil DIC as a proxy for soil respiration. In the cave, a positive correlation between DIC and surface temperature was due to increased soil respiration as the organic carbon signal from the soil was transferred to the cave environment via the aqueous phase. CO<sup>2</sup> concentration was lowest in the cave during colder months and increased exponentially with increasing surface temperature, presumably due to higher rates of soil respiration during warmer periods and changing ventilation patterns between the surface and cave atmosphere. Isotopic disequilibrium between CO<sup>2</sup> and DIC in the cave was greatest when CO<sup>2</sup> concentration was changing during November/ December and March/April, presumably due to the rapid addition or removal of gaseous CO<sup>2</sup>. The isotopic disequilibrium between DIC and CO<sup>2</sup> provided evidence that cave CO<sup>2</sup> was a mixture of carbon from several sources, which was mostly constrained by mixture between atmospheric CO<sup>2</sup> and soil CO<sup>2</sup>. The concentration and isotopic composition of gaseous and aqueous carbon species were controlled by month-to-month variations in temperature and precipitation and provided insight into the sources of carbon in the cave. Stable carbon isotope ratios provided an effective tool to explore carbon transfer from the soil zone and into the cave, identify carbon sources in the cave, and investigate how seasonality affected the transfer of carbon in a shallow karst system.</p>","language":"English","publisher":"National Speleological Society","doi":"10.4311/2011ES0264","usgsCitation":"Knierim, K., Pollock, E., Hays, P.D., and Khojasteh, J., 2015, Using stable isotopes of carbon to investigate the seasonal variation of carbon transfer in a northwestern Arkansas cave: Journal of Cave and Karst Studies, v. 77, no. 1, p. 12-27, https://doi.org/10.4311/2011ES0264.","productDescription":"16 p.","startPage":"12","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060256","costCenters":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"links":[{"id":472176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4311/2011es0264","text":"Publisher Index Page"},{"id":324944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780cec2e4b08116168223fb","contributors":{"authors":[{"text":"Knierim, Katherine J. kknierim@usgs.gov","contributorId":5991,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine J.","email":"kknierim@usgs.gov","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":519750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Erik","contributorId":146296,"corporation":false,"usgs":false,"family":"Pollock","given":"Erik","affiliations":[],"preferred":false,"id":641975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":641976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Khojasteh, Jam","contributorId":172772,"corporation":false,"usgs":false,"family":"Khojasteh","given":"Jam","email":"","affiliations":[],"preferred":false,"id":641977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70154949,"text":"70154949 - 2015 - Changes in distribution of Canada geese nesting in Arkansas","interactions":[],"lastModifiedDate":"2020-12-30T15:54:03.669412","indexId":"70154949","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1914,"text":"Human-Wildlife Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Changes in distribution of Canada geese nesting in Arkansas","docAbstract":"<p>The reintroduced Canada goose (<i>Branta canadensis</i>) population in Arkansas has grown in range and abundance in recent decades. We determined the geographic range of Arkansas resident Canada geese from 2004 to 2012 using volume contour maps from citizen science observations using eBird, a citizen science website, and hunter recovery locations from the U.S. Geological Survey Bird Banding Laboratory. Resulting maps indicate an increase in Canada goose encounters toward northwestern and southwestern Arkansas from the original relocations in the Arkansas River valley. We examined movement of Canada geese banded and recovered in Arkansas by determining the distance and angle of movement between initial and final encounter locations; 25% moved east, and 17% went west. The average distance moved from banding to recovery was 50 km (SE = 1 km). Recoveries of Canada geese banded in Arkansas were greatest in the Mississippi Flyway (58% of all geese) followed by the Central Flyway (37%) with some representation in both the Atlantic (4%) and Pacific flyways (0.9%). Movement from Arkansas to other states and Canada was influenced by goose age and sex. Older individuals traveled longer distances than younger ones, and females traveled longer distances than males. Our findings suggest that recently established Canada geese in Arkansas have slowly expanded within the state to the northwest and southwest with the expansion to the east being important now. Movement of Arkansas resident Canada geese on molt-migration can contribute to management issues in other states and provinces.</p>","language":"English","publisher":"Berryman Institute","doi":"10.26077/dyfh-rv60","usgsCitation":"Krementz, D.G., and Ronke, M.E., 2015, Changes in distribution of Canada geese nesting in Arkansas: Human-Wildlife Interactions, v. 9, no. 1, p. 101-109, https://doi.org/10.26077/dyfh-rv60.","productDescription":"8 p.","startPage":"101","endPage":"109","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056675","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":306670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.658203125,\n              36.527294814546245\n            ],\n            [\n              -90.17578124999999,\n              36.54494944148322\n            ],\n            [\n              -90.04394531249999,\n              36.43896124085945\n            ],\n            [\n              -90.04394531249999,\n              36.33282808737919\n            ],\n            [\n              -90.37353515625,\n              36.049098959065645\n            ],\n            [\n              -89.67041015625,\n              36.01356058518153\n            ],\n            [\n              -89.71435546875,\n              35.92464453144099\n            ],\n            [\n              -89.69238281249999,\n              35.85343961959182\n            ],\n            [\n              -89.8681640625,\n              35.71083783530009\n            ],\n            [\n              -89.8681640625,\n              35.60371874069731\n            ],\n            [\n              -89.9560546875,\n              35.496456056584165\n            ],\n            [\n              -90.087890625,\n              35.371135022800985\n            ],\n            [\n              -90.06591796875,\n              35.24561909420681\n            ],\n            [\n              -90.19775390625,\n              35.06597313798418\n            ],\n            [\n              -90.263671875,\n              34.92197103616377\n            ],\n            [\n              -90.3955078125,\n              34.813803317113155\n            ],\n            [\n              -90.46142578125,\n              34.651285198954156\n            ],\n            [\n              -90.54931640625,\n              34.452218472826566\n            ],\n            [\n              -90.703125,\n              34.32529192442733\n            ],\n            [\n              -90.90087890624999,\n              34.17999758688084\n            ],\n            [\n              -90.9228515625,\n              34.052659421375964\n            ],\n            [\n              -91.03271484375,\n              33.8339199536547\n            ],\n            [\n              -91.07666015625,\n              33.63291573870476\n            ],\n            [\n              -91.07666015625,\n              33.486435450999885\n            ],\n            [\n              -91.07666015625,\n              33.284619968887675\n            ],\n            [\n              -91.0986328125,\n              33.08233672856376\n            ],\n            [\n              -94.04296874999999,\n              33.04550781490999\n            ],\n            [\n              -94.0869140625,\n              33.578014746143985\n            ],\n            [\n              -94.21875,\n              33.61461929233378\n            ],\n            [\n              -94.50439453125,\n              33.669496972795535\n            ],\n            [\n              -94.482421875,\n              35.38904996691167\n            ],\n            [\n              -94.658203125,\n              36.527294814546245\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55cdbfade4b08400b1fe13d6","contributors":{"authors":[{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ronke, M. Eliese","contributorId":146486,"corporation":false,"usgs":false,"family":"Ronke","given":"M.","email":"","middleInitial":"Eliese","affiliations":[],"preferred":false,"id":568024,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148390,"text":"70148390 - 2015 - Stratigraphy and morphology of the barrier platform of Breton Island, Louisiana: deltaic, marine and human influences","interactions":[],"lastModifiedDate":"2015-09-16T09:25:58","indexId":"70148390","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3891,"text":"Coastal Sediments","active":true,"publicationSubtype":{"id":10}},"title":"Stratigraphy and morphology of the barrier platform of Breton Island, Louisiana: deltaic, marine and human influences","docAbstract":"<p>Breton Island, located at the southern end of the Chandeleur Islands, Louisiana, is part of the Breton National Wildlife Refuge (NWR). Breton NWR is recognized as an important bird habitat and is host to one of Louisiana's largest historical brown pelican nesting colonies. Loss of island area through relative sea-level rise, storm impact, and impeded and diminishing sediment supply is reducing the available habitat, and restoration is necessary if the island is to remain emergent. Physical investigation of the Breton Island platform has provided new insight into the geologic framework. The data reveal a complex system that is undergoing both long-term and short-term change. Results of the study help to resolve uncertainties in island evolution and will assist in effective restoration of the island.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"The proceedings of the coastal sediments 2015","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"Coastal sediments 2015","conferenceDate":"May 11-15, 2015","conferenceLocation":"San Diego, California","language":"English","doi":"10.1142/9789814689977_0194","usgsCitation":"Flocks, J.G., Kindinger, J.L., Miselis, J.L., and Locker, S., 2015, Stratigraphy and morphology of the barrier platform of Breton Island, Louisiana: deltaic, marine and human influences: Coastal Sediments, https://doi.org/10.1142/9789814689977_0194.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064224","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":306955,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-15","publicationStatus":"PW","scienceBaseUri":"55d5a8b3e4b0518e3546a4e3","contributors":{"authors":[{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kindinger, Jack L. jkindinger@usgs.gov","contributorId":815,"corporation":false,"usgs":true,"family":"Kindinger","given":"Jack","email":"jkindinger@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":547966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Locker, Stanley D. slocker@usgs.gov","contributorId":5906,"corporation":false,"usgs":true,"family":"Locker","given":"Stanley D.","email":"slocker@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":547967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70127679,"text":"70127679 - 2015 - Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile","interactions":[],"lastModifiedDate":"2016-07-08T14:51:33","indexId":"70127679","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile","docAbstract":"<p><span>The &sim;500-year historical record of seismicity along the central Chile coast (30&ndash;34&deg;S) is characterized by a series of &sim;M 8.0&ndash;8.5 earthquakes followed by low tsunamis (&lt;4&nbsp;m) occurring on the megathrust about every 80 years. One exception is the AD 1730 great earthquake (M 9.0&ndash;9.5) and high tsunami (&gt;10&nbsp;m), but the frequency of such large events is unknown. We extend the seismic history of central Chile through a study of a lowland stratigraphic sequence along the metropolitan coast north of Valpara&iacute;so (33&deg;S). At this site, higher relative sea level during the mid Holocene created a tidal marsh and the accommodation space necessary for sediment that preserves earthquake and tsunami evidence. Within this 2600-yr-long sequence, we traced six laterally continuous sand beds probably deposited by high tsunamis. Plant remains that underlie the sand beds were radiocarbon dated to 6200, 5600, 5000, 4400, 3800, and 3700&nbsp;cal&nbsp;yr BP. Sediment properties and diatom assemblages of the sand beds&mdash;for example, anomalous marine planktonic diatoms and upward fining of silt-sized diatom valves&mdash;point to a marine sediment source and high-energy deposition. Grain-size analysis shows a strong similarity between inferred tsunami deposits and modern coastal sediment. Upward fining sequences characteristic of suspension deposition are present in five of the six sand beds. Despite the lack of significant lithologic changes between the sedimentary units under- and overlying tsunami deposits, we infer that the increase in freshwater siliceous microfossils in overlying units records coseismic uplift concurrent with the deposition of five of the sand beds. During our mid-Holocene window of evidence preservation, the mean recurrence interval of earthquakes and tsunamis is &sim;500 years. Our findings imply that the frequency of historical earthquakes in central Chile is not representative of the greatest earthquakes and tsunamis that the central Chilean subduction zone has produced.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2014.10.015","usgsCitation":"Dure, T., Cisternas, M., Horton, B., Ely, L., Nelson, A.R., Wesson, R.L., and Pilarczyk, J., 2015, Coastal evidence for Holocene subduction-zone earthquakes and tsunamis in central Chile: Quaternary Science Reviews, v. 113, p. 93-111, https://doi.org/10.1016/j.quascirev.2014.10.015.","productDescription":"19 p.","startPage":"93","endPage":"111","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059978","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":324948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5780ceb2e4b08116168222da","contributors":{"authors":[{"text":"Dure, Tina","contributorId":116577,"corporation":false,"usgs":true,"family":"Dure","given":"Tina","email":"","affiliations":[],"preferred":false,"id":519632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cisternas, Marco","contributorId":120988,"corporation":false,"usgs":true,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":519634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin","contributorId":115142,"corporation":false,"usgs":true,"family":"Horton","given":"Benjamin","affiliations":[],"preferred":false,"id":519630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ely, Lisa","contributorId":119372,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":519633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":519629,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pilarczyk, Jessica","contributorId":115777,"corporation":false,"usgs":true,"family":"Pilarczyk","given":"Jessica","affiliations":[],"preferred":false,"id":519631,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70173616,"text":"70173616 - 2015 - Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","interactions":[],"lastModifiedDate":"2016-06-09T15:45:15","indexId":"70173616","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds","docAbstract":"<ol id=\"jpe12375-list-0001\" class=\"o-list--numbered o-list--paragraph\">\n<li>Resource selection specialization may increase vulnerability of populations to environmental change. One environmental change that may negatively impact some populations is the broad decline of quaking aspen&nbsp;<i>Populus tremuloides</i>, a preferred nest tree of cavity-nesting organisms who are commonly limited by nest-site availability. However, the long-term consequences of this habitat change for cavity-nesting bird populations are poorly studied.</li>\n<li>I counted densities of woody plants and eight cavity-nesting bird species over 29&nbsp;years in 15 high-elevation riparian drainages in Arizona, USA. I also studied nest-tree use and specialization over time based on 4946 nests across species.</li>\n<li>Aspen suffered a severe decline in availability over time, while understorey woody plants and canopy deciduous trees also declined. The decline of plants resulted from increased elk&nbsp;<i>Cervus canadensis</i>&nbsp;browsing linked to declining snowfall.</li>\n<li>Woodpeckers exhibited very high specialization (&gt;95% of nests) on aspen for nesting, and densities of all six species declined with aspen over time. Mountain chickadees&nbsp;<i>Poecile gambeli</i>and house wrens&nbsp;<i>Troglodytes aedon</i>&nbsp;exhibited increasingly less specialization on aspen. Chickadees strongly increased in density over time, despite a relatively high specialization on aspen. House wren densities declined moderately over time, but nest-box addition experiments demonstrated that nest-site availability was not limiting their population. House wren densities increased with understorey vegetation recovery in elk exclosures via increased generality of nest-site use, demonstrating that the decline in understorey vegetation on the broader landscape was the cause of their population decline.</li>\n<li><i>Synthesis and applications</i>. Management should target species that specialize in resource selection on a declining resource. Species with greater resource selection generalization can&nbsp;reduce population impacts of environmental change. Resource generalization can allow&nbsp;a species like the wren to take advantage of habitat refuges, such as those provided&nbsp;by the elk exclosures. Yet, resource generalization cannot offset the negative impacts&nbsp;of broad-scale declines in habitat quality on the landscape, as demonstrated by the general decline of wrens. Ultimately, aspen is an important habitat for biodiversity, and land management programmes that protect and aid recovery of aspen habitats may be critical.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12375","usgsCitation":"Martin, T.E., 2015, Consequences of habitat change and resource selection specialization for population limitation in cavity-nesting birds: Journal of Applied Ecology, v. 52, no. 2, p. 475-485, https://doi.org/10.1111/1365-2664.12375.","productDescription":"11 p.","startPage":"475","endPage":"485","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-12-05","publicationStatus":"PW","scienceBaseUri":"575a9330e4b04f417c27512c","chorus":{"doi":"10.1111/1365-2664.12375","url":"http://dx.doi.org/10.1111/1365-2664.12375","publisher":"Wiley-Blackwell","authors":"Martin Thomas E.","journalName":"Journal of Applied Ecology","publicationDate":"12/5/2014","auditedOn":"3/28/2017"},"contributors":{"authors":[{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637405,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70191460,"text":"70191460 - 2015 - Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction","interactions":[],"lastModifiedDate":"2017-10-13T10:51:03","indexId":"70191460","displayToPublicDate":"2015-04-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction","docAbstract":"<p><span>Florida’s Everglades stretch from the headwaters of the Kissimmee River near Orlando to Florida Bay. Under natural conditions in this flat landscape, water flowed slowly downstream as broad, shallow sheet flow. The ecosystem is markedly different now, altered by nutrient pollution and construction of canals, levees, and water control structures designed for flood control and water supply. These alterations have resulted in a 50&nbsp;% reduction of the ecosystem’s spatial extent and significant changes in ecological function in the remaining portion. One of the world’s largest restoration programs is underway to restore some of the historic hydrologic and ecological functions of the Everglades, via a multi-billion dollar Comprehensive Everglades Restoration Plan. This plan, finalized in 2000, did not explicitly consider climate change effects, yet today we realize that sea level rise and future changes in rainfall (RF), temperature, and evapotranspiration (ET) may have system-wide impacts. This series of papers describes results of a workshop where a regional hydrologic model was used to simulate the hydrology expected in 2060 with climate changes including increased temperature, ET, and sea level, and either an increase or decrease in RF. Ecologists with expertise in various areas of the ecosystem evaluated the hydrologic outputs, drew conclusions about potential ecosystem responses, and identified research needs where projections of response had high uncertainty. Resource managers participated in the workshop, and they present lessons learned regarding how the new information might be used to guide Everglades restoration in the context of climate change.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-014-0439-z","usgsCitation":"Aumen, N.G., Havens, K.E., Best, G.R., and Berry, L., 2015, Predicting ecological responses of the Florida Everglades to possible future climate scenarios: Introduction: Environmental Management, v. 55, no. 4, p. 741-748, https://doi.org/10.1007/s00267-014-0439-z.","productDescription":"8 p.","startPage":"741","endPage":"748","ipdsId":"IP-051181","costCenters":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"links":[{"id":346566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Everglades ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.69958496093749,\n              25.06569718553588\n            ],\n            [\n              -79.903564453125,\n              25.06569718553588\n            ],\n            [\n              -79.903564453125,\n              27.508271413876017\n            ],\n            [\n              -82.69958496093749,\n              27.508271413876017\n            ],\n            [\n              -82.69958496093749,\n              25.06569718553588\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-06","publicationStatus":"PW","scienceBaseUri":"59e1d09ae4b05fe04cd117c0","contributors":{"authors":[{"text":"Aumen, Nicholas G. 0000-0002-5277-2630 naumen@usgs.gov","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":5418,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","email":"naumen@usgs.gov","middleInitial":"G.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":true,"id":712352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havens, Karl E","contributorId":197036,"corporation":false,"usgs":false,"family":"Havens","given":"Karl","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":712353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Best, G. Ronnie ronnie_best@usgs.gov","contributorId":4282,"corporation":false,"usgs":true,"family":"Best","given":"G.","email":"ronnie_best@usgs.gov","middleInitial":"Ronnie","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":712354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Leonard","contributorId":119091,"corporation":false,"usgs":true,"family":"Berry","given":"Leonard","email":"","affiliations":[],"preferred":false,"id":712355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144464,"text":"70144464 - 2015 - A comparison between boat-based and diver-based methods for quantifying coral bleaching","interactions":[],"lastModifiedDate":"2017-02-13T14:45:38","indexId":"70144464","displayToPublicDate":"2015-03-31T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A comparison between boat-based and diver-based methods for quantifying coral bleaching","docAbstract":"<p><span>Recent increases in both the frequency and severity of coral bleaching events have spurred numerous surveys to quantify the immediate impacts and monitor the subsequent community response. Most of these efforts utilize conventional diver-based methods, which are inherently time-consuming, expensive, and limited in spatial scope unless they deploy large teams of scientifically-trained divers. In this study, we evaluated the effectiveness of the Along-Track Reef Imaging System (ATRIS), an automated image-acquisition technology, for assessing a moderate bleaching event that occurred in the summer of 2011 in the Florida Keys. More than 100,000 images were collected over 2.7&nbsp;km of transects spanning four patch reefs in a 3-h period. In contrast, divers completed 18, 10-m long transects at nine patch reefs over a 5-day period. Corals were assigned to one of four categories: not bleached, pale, partially bleached, and bleached. The prevalence of bleaching estimated by ATRIS was comparable to the results obtained by divers, but only for corals &gt;&nbsp;41&nbsp;cm in size. The coral size-threshold computed for ATRIS in this study was constrained by prevailing environmental conditions (turbidity and sea state) and, consequently, needs to be determined on a study-by-study basis. Both ATRIS and diver-based methods have innate strengths and weaknesses that must be weighed with respect to project goals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2015.02.017","usgsCitation":"Zawada, D., Ruzicka, R., and Colella, M.A., 2015, A comparison between boat-based and diver-based methods for quantifying coral bleaching: Journal of Experimental Marine Biology and Ecology, v. 467, p. 39-44, https://doi.org/10.1016/j.jembe.2015.02.017.","productDescription":"6 p.","startPage":"39","endPage":"44","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059720","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":299225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335271,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F73N21H0","text":"ATRIS Seafloor Images – West Turtle Shoal Patch Reef, Rawa Patch Reef, Dustan Rocks Patch Reef, and Thor Patch Reef, Florida, 2011"}],"country":"United States","state":"Florida","city":"Marathon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.15291595458984,\n              24.647017162630366\n            ],\n            [\n              -81.15291595458984,\n              24.798890012311823\n            ],\n            [\n              -80.8919906616211,\n              24.798890012311823\n            ],\n            [\n              -80.8919906616211,\n              24.647017162630366\n            ],\n            [\n              -81.15291595458984,\n              24.647017162630366\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"467","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551bb719e4b0323842783a20","contributors":{"authors":[{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":1898,"corporation":false,"usgs":true,"family":"Zawada","given":"David G.","email":"dzawada@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruzicka, Rob","contributorId":139978,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Rob","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":543633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":543634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70144438,"text":"70144438 - 2015 - Variables and potential models for the bleaching of luminescence signals in fluvial environments","interactions":[],"lastModifiedDate":"2015-03-30T14:29:49","indexId":"70144438","displayToPublicDate":"2015-03-30T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Variables and potential models for the bleaching of luminescence signals in fluvial environments","docAbstract":"<p><span>Luminescence dating of fluvial sediments rests on the assumption that sufficient sunlight is available to remove a previously obtained signal in a process deemed bleaching. However, luminescence signals obtained from sediment in the active channels of rivers often contain residual signals. This paper explores and attempts to build theoretical models for the bleaching of luminescence signals in fluvial settings. We present two models, one for sediment transported in an episodic manner, such as flood-driven washes in arid environments, and one for sediment transported in a continuous manner, such as in large continental scale rivers. The episodic flow model assumes that the majority of sediment is bleached while exposed to sunlight at the near surface between flood events and predicts a power-law decay in luminescence signal with downstream transport distance. The continuous flow model is developed by combining the Beer&ndash;Lambert law for the attenuation of light through a water column with a general-order kinetics equation to produce an equation with the form of a double negative exponential. The inflection point of this equation is compared with the sediment concentration from a Rouse profile to derive a non-dimensional number capable of assessing the likely extent of bleaching for a given set of luminescence and fluvial parameters. Although these models are theoretically based and not yet necessarily applicable to real-world fluvial systems, we introduce these ideas to stimulate discussion and encourage the development of comprehensive bleaching models with predictive power.</span></p>","conferenceTitle":"9th New World Luminescence Dating Workshop","conferenceDate":"August 16-18, 2013","conferenceLocation":"Logan, UT","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2014.11.007","usgsCitation":"Gray, H.J., and Mahan, S., 2015, Variables and potential models for the bleaching of luminescence signals in fluvial environments: Quaternary International, v. 362, p. 42-49, https://doi.org/10.1016/j.quaint.2014.11.007.","productDescription":"8 p.","startPage":"42","endPage":"49","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054895","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299144,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"362","edition":"362","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"551a65bbe4b032384278347a","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473 hgray@usgs.gov","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":4991,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison","email":"hgray@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":543604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahan, Shannon 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":1215,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":543603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70155853,"text":"70155853 - 2015 - Hydrologic remediation for the Deepwater Horizon incident drove ancillary primary production increase in coastal swamps","interactions":[],"lastModifiedDate":"2019-12-11T09:34:58","indexId":"70155853","displayToPublicDate":"2015-03-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic remediation for the Deepwater Horizon incident drove ancillary primary production increase in coastal swamps","docAbstract":"<p>As coastal wetlands subside worldwide, there is an urgency to understand the hydrologic drivers and dynamics of plant production and peat accretion. One incidental test of the effects of high rates of discharge on forested wetland production occurred in response to the 2010 Deepwater Horizon incident, in which all diversions in Louisiana were operated at or near their maximum discharge level for an extended period to keep offshore oil from threatened coastal wetlands. Davis Pond Diversion was operated at six times the normal discharge levels for almost 4&thinsp;months, so that Taxodium distichum swamps downstream of the diversion experienced greater inundation and lower salinity. After this remediation event in 2010, above-ground litter production increased by 2.7 times of production levels in 2007&ndash;2011. Biomass of the leaf and reproductive tissues of several species increased; wood litter was minimal and did not change during this period. Root production decreased in 2010 but subsequently returned to pre-remediation values in 2011. Both litter and root production remained high in the second growing season after hydrologic remediation. Annual tree growth (circumference increment) was not significantly altered by the remediation. The potential of freshwater pulses for regulating tidal swamp production is further supported by observations of higher T.&thinsp;distichum growth in lower salinity and/or pulsed environments across the U.S. Gulf Coast. Usage of freshwater pulses to manage altered estuaries deserves further consideration, particularly because the timing and duration of such pulses could influence both primary production and peat accretion.</p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.1625","usgsCitation":"Middleton, B.A., Johnson, D., and Roberts, B., 2015, Hydrologic remediation for the Deepwater Horizon incident drove ancillary primary production increase in coastal swamps: Ecohydrology, v. 8, no. 5, p. 838-850, https://doi.org/10.1002/eco.1625.","productDescription":"12 p.","startPage":"838","endPage":"850","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045601","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":488714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.1625","text":"Publisher Index Page"},{"id":306616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Davis Pond Diversion Outlet","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.5218505859375,\n              29.104176683949984\n            ],\n            [\n              -89.176025390625,\n              29.104176683949984\n            ],\n            [\n              -89.176025390625,\n              30.130875412002318\n            ],\n            [\n              -90.5218505859375,\n              30.130875412002318\n            ],\n            [\n              -90.5218505859375,\n              29.104176683949984\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"55cc6e29e4b08400b1fe0fd4","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":566607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Darren 0000-0002-0502-6045 johnsond@usgs.gov","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":3663,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","email":"johnsond@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":566608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Brian J","contributorId":146207,"corporation":false,"usgs":false,"family":"Roberts","given":"Brian J","affiliations":[{"id":16627,"text":"Louisiana Universities Marine Consortium (LUMCON)","active":true,"usgs":false}],"preferred":false,"id":566609,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70145960,"text":"70145960 - 2015 - Mark-recapture and mark-resight methods for estimating abundance with remote cameras: a carnivore case study","interactions":[],"lastModifiedDate":"2015-04-10T15:25:22","indexId":"70145960","displayToPublicDate":"2015-03-30T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mark-recapture and mark-resight methods for estimating abundance with remote cameras: a carnivore case study","docAbstract":"<p><span>Abundance estimation of carnivore populations is difficult and has prompted the use of non-invasive detection methods, such as remotely-triggered cameras, to collect data. To analyze photo data, studies focusing on carnivores with unique pelage patterns have utilized a mark-recapture framework and studies of carnivores without unique pelage patterns have used a mark-resight framework. We compared mark-resight and mark-recapture estimation methods to estimate bobcat (</span><i>Lynx rufus</i><span>) population sizes, which motivated the development of a new \"hybrid\" mark-resight model as an alternative to traditional methods. We deployed a sampling grid of 30 cameras throughout the urban southern California study area. Additionally, we physically captured and marked a subset of the bobcat population with GPS telemetry collars. Since we could identify individual bobcats with photos of unique pelage patterns and a subset of the population was physically marked, we were able to use traditional mark-recapture and mark-resight methods, as well as the new &ldquo;hybrid&rdquo; mark-resight model we developed to estimate bobcat abundance. We recorded 109 bobcat photos during 4,669 camera nights and physically marked 27 bobcats with GPS telemetry collars. Abundance estimates produced by the traditional mark-recapture, traditional mark-resight, and &ldquo;hybrid&rdquo; mark-resight methods were similar, however precision differed depending on the models used. Traditional mark-recapture and mark-resight estimates were relatively imprecise with percent confidence interval lengths exceeding 100% of point estimates. Hybrid mark-resight models produced better precision with percent confidence intervals not exceeding 57%. The increased precision of the hybrid mark-resight method stems from utilizing the complete encounter histories of physically marked individuals (including those never detected by a camera trap) and the encounter histories of naturally marked individuals detected at camera traps. This new estimator may be particularly useful for estimating abundance of uniquely identifiable species that are difficult to sample using camera traps alone.</span></p>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0123032","usgsCitation":"Alanso, R.S., McClintock, B.T., Lyren, L.M., Boydston, E.E., and Crooks, K.R., 2015, Mark-recapture and mark-resight methods for estimating abundance with remote cameras: a carnivore case study: PLoS ONE, v. 10, no. 3, e0123032; 13 p., https://doi.org/10.1371/journal.pone.0123032.","productDescription":"e0123032; 13 p.","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043232","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":472397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0123032","text":"Publisher Index Page"},{"id":299591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","otherGeospatial":"San Joaquin Hills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.88604736328124,\n              33.48070852506531\n            ],\n            [\n              -117.88604736328124,\n              33.63005717508159\n            ],\n            [\n              -117.72193908691406,\n              33.63005717508159\n            ],\n            [\n              -117.72193908691406,\n              33.48070852506531\n            ],\n            [\n              -117.88604736328124,\n              33.48070852506531\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-30","publicationStatus":"PW","scienceBaseUri":"5528f44ce4b026915857cb27","contributors":{"authors":[{"text":"Alanso, Robert S.","contributorId":140158,"corporation":false,"usgs":false,"family":"Alanso","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":544535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClintock, Brett T. 0000-0001-6154-4376","orcid":"https://orcid.org/0000-0001-6154-4376","contributorId":83785,"corporation":false,"usgs":true,"family":"McClintock","given":"Brett","email":"","middleInitial":"T.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":true,"id":544536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":544533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crooks, Kevin R.","contributorId":51137,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":544537,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70146016,"text":"70146016 - 2015 - Pairing call-response surveys and distance sampling for a mammalian carnivore","interactions":[],"lastModifiedDate":"2015-04-27T16:08:32","indexId":"70146016","displayToPublicDate":"2015-03-30T00:00:00","publicationYear":"2015","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":"Pairing call-response surveys and distance sampling for a mammalian carnivore","docAbstract":"<p><span>Density estimates accounting for differential animal detectability are difficult to acquire for wide-ranging and elusive species such as mammalian carnivores. Pairing distance sampling with call-response surveys may provide an efficient means of tracking changes in populations of coyotes (</span><i>Canis latrans</i><span>), a species of particular interest in the eastern United States. Blind field trials in rural New York State indicated 119-m linear error for triangulated coyote calls, and a 1.8-km distance threshold for call detectability, which was sufficient to estimate a detection function with precision using distance sampling. We conducted statewide road-based surveys with sampling locations spaced &ge;6&thinsp;km apart from June to August 2010. Each detected call (be it a single or group) counted as a single object, representing 1 territorial pair, because of uncertainty in the number of vocalizing animals. From 524 survey points and 75 detections, we estimated the probability of detecting a calling coyote to be 0.17&thinsp;&plusmn;&thinsp;0.02 SE, yielding a detection-corrected index of 0.75 pairs/10 km</span><sup>2</sup><span>&nbsp;(95% CI: 0.52&ndash;1.1, 18.5% CV) for a minimum of 8,133 pairs across rural New York State. Importantly, we consider this an index rather than true estimate of abundance given the unknown probability of coyote availability for detection during our surveys. Even so, pairing distance sampling with call-response surveys provided a novel, efficient, and noninvasive means of monitoring populations of wide-ranging and elusive, albeit reliably vocal, mammalian carnivores. Our approach offers an effective new means of tracking species like coyotes, one that is readily extendable to other species and geographic extents, provided key assumptions of distance sampling are met.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.865","usgsCitation":"Hansen, S.J., Frair, J.L., Underwood, H.B., and Gibbs, J.P., 2015, Pairing call-response surveys and distance sampling for a mammalian carnivore: Journal of Wildlife Management, v. 79, no. 4, p. 662-671, https://doi.org/10.1002/jwmg.865.","productDescription":"10 p.","startPage":"662","endPage":"671","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061051","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":299592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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K.","contributorId":140183,"corporation":false,"usgs":false,"family":"Hansen","given":"Sara","email":"","middleInitial":"J. K.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":544625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frair, Jacqueline L.","contributorId":140184,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":544626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Harold B. hbunderw@usgs.gov","contributorId":140182,"corporation":false,"usgs":true,"family":"Underwood","given":"Harold","email":"hbunderw@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":544624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gibbs, James P.","contributorId":102418,"corporation":false,"usgs":false,"family":"Gibbs","given":"James","email":"","middleInitial":"P.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":544627,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70143356,"text":"70143356 - 2015 - Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry","interactions":[],"lastModifiedDate":"2018-01-24T13:55:55","indexId":"70143356","displayToPublicDate":"2015-03-19T14:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry","docAbstract":"<p><span>White-nose syndrome (WNS) caused by the pathogenic fungus&nbsp;</span><i>Pseudogymnoascus destructans</i><span>&nbsp;is decimating the populations of several hibernating North American bat species. Little is known about the molecular interplay between pathogen and host in this disease. Fluorescence microscopy ambient ionization mass spectrometry was used to generate metabolic profiles from the wings of both healthy and diseased bats of the genus&nbsp;</span><i>Myotis</i><span>. Fungal siderophores, molecules that scavenge iron from the environment, were detected on the wings of bats with WNS, but not on healthy bats. This work is among the first examples in which microbial molecules are directly detected from an infected host and highlights the ability of atmospheric ionization methodologies to provide direct molecular insight into infection.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0119668","usgsCitation":"Mascuch, S.J., Moree, W.J., Cheng-Chih Hsu, C., Turner, G.G., Cheng, T.L., Blehert, D., Kilpatrick, A.M., Frick, W., Meehan, M.J., Dorrestein, P.C., and Gerwick, L., 2015, Direct detection of fungal siderophores on bats with white-nose syndrome via fluorescence microscopy-guided ambient ionization mass spectrometry: PLoS ONE, v. 10, no. 3, e0119668: 12 p., https://doi.org/10.1371/journal.pone.0119668.","productDescription":"e0119668: 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057083","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":472205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0119668","text":"Publisher Index Page"},{"id":298766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.6171875,\n              37.3002752813443\n            ],\n            [\n              -82.6171875,\n              42.00032514831621\n            ],\n            [\n              -74.81689453125,\n              42.00032514831621\n            ],\n            [\n              -74.81689453125,\n              37.3002752813443\n            ],\n            [\n              -82.6171875,\n              37.3002752813443\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"550be51be4b02e76d759cdca","contributors":{"authors":[{"text":"Mascuch, Samantha J.","contributorId":139716,"corporation":false,"usgs":false,"family":"Mascuch","given":"Samantha","email":"","middleInitial":"J.","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moree, Wilna J.","contributorId":139717,"corporation":false,"usgs":false,"family":"Moree","given":"Wilna","email":"","middleInitial":"J.","affiliations":[{"id":12889,"text":"Skaggs School of Pharmacy & Pharmaceutical Sciences, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng-Chih Hsu, Cheng-Chih","contributorId":139718,"corporation":false,"usgs":false,"family":"Cheng-Chih Hsu","given":"Cheng-Chih","email":"","affiliations":[{"id":12890,"text":"Dept of Chemistry & Biochemistry, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Gregory G.","contributorId":139719,"corporation":false,"usgs":false,"family":"Turner","given":"Gregory","email":"","middleInitial":"G.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":542674,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cheng, Tina L.","contributorId":139720,"corporation":false,"usgs":false,"family":"Cheng","given":"Tina","email":"","middleInitial":"L.","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":127747,"corporation":false,"usgs":true,"family":"Blehert","given":"David S.","email":"dblehert@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":542670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542676,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frick, Winifred F.","contributorId":139722,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred F.","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542677,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meehan, Michael J.","contributorId":139723,"corporation":false,"usgs":false,"family":"Meehan","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":12890,"text":"Dept of Chemistry & Biochemistry, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542678,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dorrestein, Pieter C.","contributorId":139725,"corporation":false,"usgs":false,"family":"Dorrestein","given":"Pieter","email":"","middleInitial":"C.","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542680,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gerwick, Lena","contributorId":139724,"corporation":false,"usgs":false,"family":"Gerwick","given":"Lena","email":"","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":542679,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70143793,"text":"70143793 - 2015 - Presence of amphibian chytrid fungus (Batrachochytrium dendrobatidis) in rainwater suggests aerial dispersal is possible","interactions":[],"lastModifiedDate":"2018-09-04T15:33:31","indexId":"70143793","displayToPublicDate":"2015-03-17T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":667,"text":"Aerobiologia","active":true,"publicationSubtype":{"id":10}},"title":"Presence of amphibian chytrid fungus (Batrachochytrium dendrobatidis) in rainwater suggests aerial dispersal is possible","docAbstract":"<p>Abstract Global spread of the pathogenic amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) may involve dispersal mechanisms not previously explored. Weather systems accompanied by strong wind and rainfall have been known to assist the dispersal of microbes pathogenic to plants and animals, and we considered a similar phenomenon might occur with Bd. We investigated this concept by sampling rainwater from 20 precipitation events for the presence of Bd in Cusuco National Park, Honduras: a site where high Bd prevalence was previously detected in stream-associated amphibians. Quantitative PCR analysis confirmed the presence of Bd in rainwater in one (5 %) of the weather events sampled, although viability cannot be ascertained from molecular presence alone. The source of the Bd and distance that the contaminated rainwater traveled could not be determined; however, this collection site was located approximately 600 m from the nearest observed perennial river by straight-line aerial distance. Although our results suggest atmospheric Bd dispersal is uncommon and unpredictable, even occasional short-distance aerial transport could considerably expand the taxonomic diversity of amphibians vulnerable to exposure and at risk of decline, including terrestrial and arboreal species that are not associated with permanent water bodies.</p>","language":"English","publisher":"International Association for Aerobiology","publisherLocation":"New York, NY","doi":"10.1007/s10453-015-9374-6","usgsCitation":"Kolby, J.E., Ramirez, S.D., Berger, L., Griffin, D.W., Jocque, M., and Lee F. Skerratt, 2015, Presence of amphibian chytrid fungus (Batrachochytrium dendrobatidis) in rainwater suggests aerial dispersal is possible: Aerobiologia, v. 31, no. 3, p. 411-419, https://doi.org/10.1007/s10453-015-9374-6.","productDescription":"9 p.","startPage":"411","endPage":"419","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045408","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":298856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-17","publicationStatus":"PW","scienceBaseUri":"5511395be4b02e76d75b50f1","contributors":{"authors":[{"text":"Kolby, Jonathan E.","contributorId":139790,"corporation":false,"usgs":false,"family":"Kolby","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[{"id":12910,"text":"James Cook University, AUS","active":true,"usgs":false}],"preferred":false,"id":543020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramirez, Sara D.","contributorId":139794,"corporation":false,"usgs":false,"family":"Ramirez","given":"Sara","email":"","middleInitial":"D.","affiliations":[{"id":12911,"text":"Operation Wallacea, UK","active":true,"usgs":false}],"preferred":false,"id":543024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berger, Lee","contributorId":139791,"corporation":false,"usgs":false,"family":"Berger","given":"Lee","email":"","affiliations":[{"id":12910,"text":"James Cook University, AUS","active":true,"usgs":false}],"preferred":false,"id":543021,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":543019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jocque, Merlijn","contributorId":139793,"corporation":false,"usgs":false,"family":"Jocque","given":"Merlijn","email":"","affiliations":[{"id":12910,"text":"James Cook University, AUS","active":true,"usgs":false}],"preferred":false,"id":543023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee F. Skerratt","contributorId":139792,"corporation":false,"usgs":false,"family":"Lee F. Skerratt","affiliations":[{"id":12910,"text":"James Cook University, AUS","active":true,"usgs":false}],"preferred":false,"id":543022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159279,"text":"70159279 - 2015 - Priority pollutants and associated constituents in untreated and treated discharges from coal mining or processing facilities in Pennsylvania, USA","interactions":[],"lastModifiedDate":"2015-11-16T13:28:34","indexId":"70159279","displayToPublicDate":"2015-03-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Priority pollutants and associated constituents in untreated and treated discharges from coal mining or processing facilities in Pennsylvania, USA","docAbstract":"<p id=\"sp0015\">Clean sampling and analysis procedures were used to quantify more than 70 inorganic constituents, including 35 potentially toxic or hazardous constituents, organic carbon, and other characteristics of untreated (influent) and treated (effluent) coal-mine discharges (CMD) at 38 permitted coal-mining or coal-processing facilities in the bituminous coalfield and 4 facilities in the anthracite coalfield of Pennsylvania. Of the 42 facilities sampled during 2011, 26 were surface mines, 11 were underground mines, and 5 were coal refuse disposal operations. Treatment of CMD with caustic soda (NaOH), lime (CaO or Ca(OH)<sub>2</sub>), flocculent, or limestone was ongoing at 21%, 40%, 6%, and 4% of the facilities, respectively; no chemicals were added at the remaining facilities. All facilities with CMD treatment incorporated structures for active or passive aeration and settling of metal-rich precipitate.</p>\n<p id=\"sp0020\">The untreated influent samples had wide ranges of pH (2.8&ndash;7.6), hot acidity (&minus;600 to 8000&nbsp;mg/L as CaCO<sub>3</sub>), specific conductance (SC; 253&ndash;13,000&nbsp;&mu;S/cm), total dissolved solids (TDS; 168&ndash;18,100&nbsp;mg/L), and associated dissolved (&lt;0.45-&mu;m pore-size filter) constituents, including SO<sub>4</sub>&nbsp;(14.7&ndash;10,700&nbsp;mg/L), Fe (&lt;0.01 to 4100&nbsp;mg/L), Mn (0.02&ndash;136&nbsp;mg/L), Al (&lt;0.01 to 128&nbsp;mg/L), and Zn (&lt;0.003 to 18.8&nbsp;mg/L). Concentrations of Ag (&lt;1&nbsp;&mu;g/L), Hg (&lt;1&nbsp;&mu;g/L), Sn (&lt;0.5&nbsp;&mu;g/L), and CN (&lt;0.01&nbsp;mg/L) were below detection limits. Only one influent sample met permitted mine effluent (PME) limits plus dissolved-constituent criteria maximum concentration (CMC) thresholds for the protection of freshwater aquatic organisms.</p>\n<p id=\"sp0025\">The pH of the treated effluent samples ranged from 5.5 to 11.9 and was greater than or equal to the pH of the corresponding influent at all sites. All the effluent samples met CMC levels for dissolved concentrations of Ag, As, Ba, Cd, Cl, Cr, Pb, Ni, Sb, Se, Tl, V, NH<sub>3</sub>, NO<sub>2</sub>, NO<sub>3</sub>, and CN; however, nine violated one or more of the PME limits for pH (&lt;6,<i>n</i>&nbsp;=&nbsp;1), net acidity (&gt;0,&nbsp;<i>n</i>&nbsp;=&nbsp;3), Fe (&gt;7&nbsp;mg/L,&nbsp;<i>n</i>&nbsp;=&nbsp;1), or Mn (&gt;5&nbsp;mg/L,&nbsp;<i>n</i>&nbsp;=&nbsp;8), plus one or more exceeded CMC levels for Al (&gt;0.75&nbsp;mg/L,&nbsp;<i>n</i>&nbsp;=&nbsp;2), Co (&gt;95&nbsp;&mu;g/L,&nbsp;<i>n</i>&nbsp;=&nbsp;5), Zn (&gt;307&nbsp;&mu;g/L,<i>n</i>&nbsp;=&nbsp;1), Cu (&gt;7.4&nbsp;&mu;g/L,&nbsp;<i>n</i>&nbsp;=&nbsp;1), or Se (&gt;12.8&nbsp;&mu;g/L,&nbsp;<i>n</i>&nbsp;=&nbsp;3). Although CMC exceedances for Co and Zn were attributed to samples also violating the PME limit for pH or Mn, the samples that exceeded the CMC for Al, Cu, or Se met applicable PME limits for pH, Fe, and Mn. Furthermore, many of the pH-compliant effluents did not meet reference criteria for SO<sub>4</sub>&nbsp;and related measures of ionic strength, including TDS, SC, and osmotic pressure.</p>\n<p id=\"sp0030\">The Wilcoxon matched-pair signed-ranks statistic was used to test if the overall difference between the effluent and influent pairs was equal to zero. Constituents that statistically were the same for effluent and influent (<i>p</i>&nbsp;&gt;&nbsp;0.05) included flow rate, SC, osmotic pressure, hardness, alkalinity, total organic carbon (TOC), K, Cl, NO<sub>3</sub>, PO<sub>4</sub>, Sb, Sr, Br, Se, Mo, and V. Although temperature, dissolved oxygen, pH, Ca, and Na were greater in the effluent than the influent, most constituents decreased as a result of treatment, including TDS, acidity, SO<sub>4</sub>, Al, Fe, Mn, Mg, As, Ba, Be, Cd, Cr, Co, Cu, F, Pb, Ni, NH<sub>3</sub>, Tl, Ti, U, Zn, Zr, total phenols, total inorganic carbon (TIC), biological oxygen demand (BOD), and chemical oxygen demand (COD). Nevertheless, some constituents that decreased, such as SO<sub>4</sub>, still did not meet reference criteria.</p>\n<p id=\"sp0035\">Findings from this study suggest that typical chemical or aerobic treatment of CMD to pH&nbsp;&gt;&nbsp;6 with removal of Fe to &lt;7&nbsp;mg/L and Mn to &lt;5&nbsp;mg/L may provide a reasonable measure of protection for aquatic life from priority pollutant metals and other toxic or hazardous constituents in effluent but may not be effective for achieving permissible or background levels for TDS, SC, osmotic pressure, or concentrations of SO<sub>4</sub>&nbsp;and some other pollutants, including Se, Br, and Cl, if present.</p>","language":"English","publisher":"Pergamon","publisherLocation":"Oxford, England; New York, NY","doi":"10.1016/j.apgeochem.2015.03.001","collaboration":"Pennsylvania Department of Environmental Protection","usgsCitation":"Cravotta, I., and Brady, K.B., 2015, Priority pollutants and associated constituents in untreated and treated discharges from coal mining or processing facilities in Pennsylvania, USA: Applied Geochemistry, v. 62, p. 108-130, https://doi.org/10.1016/j.apgeochem.2015.03.001.","productDescription":"23 p.","startPage":"108","endPage":"130","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043932","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":311378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Bituminous and Anthracite Coalfields","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.452880859375,\n              41.51680395810115\n            ],\n            [\n              -77.969970703125,\n 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,{"id":70175295,"text":"70175295 - 2015 - Modeling climate change, urbanization, and fire effects on <i>Pinus palustris</i> ecosystems of the southeastern U.S.","interactions":[],"lastModifiedDate":"2018-12-20T12:59:26","indexId":"70175295","displayToPublicDate":"2015-03-15T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling climate change, urbanization, and fire effects on <i>Pinus palustris</i> ecosystems of the southeastern U.S.","docAbstract":"<p><span>Managing ecosystems for resilience and sustainability requires understanding how they will respond to future anthropogenic drivers such as climate change and urbanization. In fire-dependent ecosystems, predicting this response requires a focus on how these drivers will impact fire regimes. Here, we use scenarios of climate change, urbanization and management to simulate the future dynamics of the critically endangered and fire-dependent longleaf pine (</span><i>Pinus palustris</i><span>) ecosystem. We investigated how climate change and urbanization will affect the ecosystem, and whether the two conservation goals of a 135% increase in total longleaf area and a doubling of fire-maintained open-canopy habitat can be achieved in the face of these drivers. Our results show that while climatic warming had little effect on the wildfire regime, and thus on longleaf pine dynamics, urban growth led to an 8% reduction in annual wildfire area. The management scenarios we tested increase the ecosystem's total extent by up to 62% and result in expansion of open-canopy longleaf by as much as 216%, meeting one of the two conservation goals for the ecosystem. We find that both conservation goals for this ecosystem, which is climate-resilient but vulnerable to urbanization, are only attainable if a greater focus is placed on restoration of non-longleaf areas as opposed to maintaining existing longleaf stands. Our approach demonstrates the importance of accounting for multiple relevant anthropogenic threats in an ecosystem-specific context in order to facilitate more effective management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2014.12.032","usgsCitation":"Costanza, J., Terando, A.J., McKerrow, A., and Collazo, J., 2015, Modeling climate change, urbanization, and fire effects on <i>Pinus palustris</i> ecosystems of the southeastern U.S.: Journal of Environmental Management, v. 151, p. 186-199, https://doi.org/10.1016/j.jenvman.2014.12.032.","startPage":"186","endPage":"199","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056277","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":326103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"151","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a46749e4b0ebae89b63cd4","contributors":{"authors":[{"text":"Costanza, Jennifer","contributorId":74689,"corporation":false,"usgs":true,"family":"Costanza","given":"Jennifer","affiliations":[],"preferred":false,"id":644718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":644717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":644719,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":644720,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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