{"pageNumber":"1088","pageRowStart":"27175","pageSize":"25","recordCount":184757,"records":[{"id":70175467,"text":"70175467 - 2016 - Divergent projections of future land use in the United States arising from different models and scenarios","interactions":[],"lastModifiedDate":"2017-08-29T09:36:55","indexId":"70175467","displayToPublicDate":"2016-08-12T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Divergent projections of future land use in the United States arising from different models and scenarios","docAbstract":"A variety of land-use and land-cover (LULC) models operating at scales from local to global have been developed in recent years, including a number of models that provide spatially explicit, multi-class LULC projections for the conterminous United States. This diversity of modeling approaches raises the question: how consistent are their projections of future land use? We compared projections from six LULC modeling applications for the United States and assessed quantitative, spatial, and conceptual inconsistencies. Each set of projections provided multiple scenarios covering a period from roughly 2000 to 2050. Given the unique spatial, thematic, and temporal characteristics of each set of projections, individual projections were aggregated to a common set of basic, generalized LULC classes (i.e., cropland, pasture, forest, range, and urban) and summarized at the county level across the conterminous United States. We found very little agreement in projected future LULC trends and patterns among the different models. Variability among scenarios for a given model was generally lower than variability among different models, in terms of both trends in the amounts of basic LULC classes and their projected spatial patterns. Even when different models assessed the same purported scenario, model projections varied substantially. Projections of agricultural trends were often far above the maximum historical amounts, raising concerns about the realism of the projections. Comparisons among models were hindered by major discrepancies in categorical definitions, and suggest a need for standardization of historical LULC data sources. To capture a broader range of uncertainties, ensemble modeling approaches are also recommended. However, the vast inconsistencies among LULC models raise questions about the theoretical and conceptual underpinnings of current modeling approaches. Given the substantial effects that land-use change can have on ecological and societal processes, there is a need for improvement in LULC theory and modeling capabilities to improve acceptance and use of regional- to national-scale LULC projections for the United States and elsewhere.
","language":"English","publisher":"Elsevier Science Pub. Co.","publisherLocation":"New York, NY","doi":"10.1016/j.ecolmodel.2016.07.016","usgsCitation":"Sohl, T.L., Wimberly, M., Radeloff, V.C., Theobald, D.M., and Sleeter, B.M., 2016, Divergent projections of future land use in the United States arising from different models and scenarios: Ecological Modelling, v. 337, p. 281-297, https://doi.org/10.1016/j.ecolmodel.2016.07.016.","startPage":"281","endPage":"297","numberOfPages":"17","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2016.07.016","text":"Publisher Index Page"},{"id":326455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}\n","volume":"337","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd38","contributors":{"authors":[{"text":"Sohl, Terry L. 0000-0002-9771-4231 sohl@usgs.gov","orcid":"https://orcid.org/0000-0002-9771-4231","contributorId":648,"corporation":false,"usgs":true,"family":"Sohl","given":"Terry","email":"sohl@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":645358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wimberly, Michael","contributorId":51654,"corporation":false,"usgs":true,"family":"Wimberly","given":"Michael","affiliations":[],"preferred":false,"id":645359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Radeloff, Volker C.","contributorId":141124,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker","email":"","middleInitial":"C.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":645360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Theobald, David M. 0000-0002-1271-9368","orcid":"https://orcid.org/0000-0002-1271-9368","contributorId":10271,"corporation":false,"usgs":false,"family":"Theobald","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":true,"id":645361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 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,{"id":70175462,"text":"70175462 - 2016 - Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes","interactions":[],"lastModifiedDate":"2016-08-26T11:13:17","indexId":"70175462","displayToPublicDate":"2016-08-12T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes","docAbstract":"Plant–microbial interactions may play a key role in plant invasions. One common microbial interaction takes place between plants and fungal endophytes when fungi asymptomatically colonize host plant tissues. The objectives of this study were to isolate and sequence fungal endophytes colonizing non-native Phragmites australis in the Great Lakes region to evaluate variation in endophyte community composition among three host tissue types and three geographical regions. We collected entire ramets from multiple clones and populations, surface sterilized plant tissues, and plated replicate tissue samples from leaves, stems, and rhizomes on corn meal agar plates to culture and isolate fungal endophytes. Isolates were then subjected to Sanger sequencing of the ITS region of the nuclear ribosomal DNA. Sequences were compared to fungal databases to define operational taxonomic units (OTUs) that were analyzed statistically for community composition. In total, we obtained 173 endophyte isolates corresponding to 55 OTUs, 39 of which were isolated only a single time. The most common OTU corresponded most closely to Sarocladium strictum and comprised 25 % of all fungal isolates. More OTUs were found in stem tissues, but endophyte diversity was greatest in rhizome tissues. PERMANOVA analyses indicated significant differences in endophyte communities among tissue types, geographical regions, and the interaction between those factors, but no differences among individual ramets were detected. The functional role of the isolated endophytes is not yet known, but one genus isolated here (Stagonospora) has been reported to enhance Phragmites growth. Understanding the diversity and functions of Phragmites endophytes may provide targets for control measures based on disrupting host plant/endophyte interactions.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-016-1137-y","usgsCitation":"Clay, K., Shearin, Z., Bourke, K., Bickford, W.A., and Kowalski, K., 2016, Diversity of fungal endophytes in non-native Phragmites australis in the Great Lakes: Biological Invasions, v. 18, no. 9, p. 2703-2716, https://doi.org/10.1007/s10530-016-1137-y.","productDescription":"14 p.","startPage":"2703","endPage":"2716","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069956","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.42773437499999,\n 40.64730356252251\n ],\n [\n -93.42773437499999,\n 49.66762782262194\n ],\n [\n -75.5859375,\n 49.66762782262194\n ],\n [\n -75.5859375,\n 40.64730356252251\n ],\n [\n -93.42773437499999,\n 40.64730356252251\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-04","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3a","chorus":{"doi":"10.1007/s10530-016-1137-y","url":"http://dx.doi.org/10.1007/s10530-016-1137-y","publisher":"Springer Nature","authors":"Clay Keith, Shearin Zackery R. C., Bourke Kimberly A., Bickford Wesley A., Kowalski Kurt P.","journalName":"Biological Invasions","publicationDate":"4/4/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"4/4/2016"},"contributors":{"authors":[{"text":"Clay, Keith","contributorId":140472,"corporation":false,"usgs":false,"family":"Clay","given":"Keith","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":645340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shearin, Zachery","contributorId":173650,"corporation":false,"usgs":false,"family":"Shearin","given":"Zachery","email":"","affiliations":[{"id":12645,"text":"Indiana University - Northwest","active":true,"usgs":false}],"preferred":false,"id":645339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourke, Kimberly kbourke@usgs.gov","contributorId":173651,"corporation":false,"usgs":true,"family":"Bourke","given":"Kimberly","email":"kbourke@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645338,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175463,"text":"70175463 - 2016 - Applying the collective impact approach to address non-native species: A case study of the Great Lakes Phragmites Collaborative","interactions":[],"lastModifiedDate":"2016-08-26T11:14:42","indexId":"70175463","displayToPublicDate":"2016-08-12T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Applying the collective impact approach to address non-native species: A case study of the Great Lakes Phragmites Collaborative","docAbstract":"To address the invasion of non-native Phragmites in the Great Lakes, researchers at the U.S. Geological Survey—Great Lakes Science Center partnered with the Great Lakes Commission in 2012 to establish the Great Lakes Phragmites Collaborative (GLPC). The GLPC is a regional-scale partnership established to improve collaboration among stakeholders and increase the effectiveness of non-native Phragmites management and research. Rather than forming a traditional partnership with a narrowly defined goal, the GLPC follows the principles of collective impact to engage stakeholders, guide progress, and align resources to address this complex, regional challenge. In this paper, the concept and tenets of collective impact are described, the GLPC is offered as a model for other natural resource-focused collective impact efforts, and steps for establishing collaboratives are presented. Capitalizing on the interactive collective impact approach, the GLPC is moving toward a broadly accepted common agenda around which agencies and individuals will be able to better align their actions and generate measureable progress in the regional campaign to protect healthy, diverse ecosystems from damage caused by non-native Phragmites.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10530-016-1142-1","usgsCitation":"Braun, H.B., Kowalski, K., and Hollins, K., 2016, Applying the collective impact approach to address non-native species: A case study of the Great Lakes Phragmites Collaborative: Biological Invasions, v. 18, no. 9, p. 2729-2738, https://doi.org/10.1007/s10530-016-1142-1.","productDescription":"10 p.","startPage":"2729","endPage":"2738","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069939","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-22","publicationStatus":"PW","scienceBaseUri":"57aee524e4b0fc09faadbd36","contributors":{"authors":[{"text":"Braun, H. B.","contributorId":173652,"corporation":false,"usgs":false,"family":"Braun","given":"H.","email":"","middleInitial":"B.","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":645344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hollins, K.","contributorId":173653,"corporation":false,"usgs":false,"family":"Hollins","given":"K.","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":645345,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175464,"text":"70175464 - 2016 - Evaluation of the functional roles of fungal endophytes of Phragmites australis from high saline and low saline habitats","interactions":[],"lastModifiedDate":"2016-09-16T15:47:38","indexId":"70175464","displayToPublicDate":"2016-08-12T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the functional roles of fungal endophytes of Phragmites australis from high saline and low saline habitats","docAbstract":"Non-native Phragmites australis decreases biodiversity and produces dense stands in North America. We surveyed the endophyte communities in the stems, leaves and roots of collections of P. australis obtained from two sites with a low and high salt concentration to determine differences in endophyte composition and assess differences in functional roles of microbes in plants from both sites. We found differences in the abundance, richness and diversity of endophytes between the low saline collections (18 species distributed in phyla Ascomycota, Basidiomycota and Stramenopiles (Oomycota); from orders Dothideales, Pleosporales, Hypocreales, Eurotiales, Cantharellales and Pythiales; Shannon H = 2.639; Fisher alpha = 7.335) and high saline collections (15 species from phylum Ascomycota; belonging to orders Pleosporales, Hypocreales, Diaporthales, Xylariales and Dothideales; Shannon H = 2.289; Fisher alpha = 4.181). Peyronellaea glomerata, Phoma macrostoma and Alternaria tenuissima were species obtained from both sites. The high salt endophyte community showed higher resistance to zinc, mercury and salt stress compared to fungal species from the low salt site. These endophytes also showed a greater propensity for growth promotion of rice seedlings (a model species) under salt stress. The results of this study are consistent with the ‘habitat-adapted symbiosis hypothesis’ that holds that endophytic microbes may help plants adapt to extreme habitats. The capacity of P. australis to establish symbiotic relationships with diverse endophytic microbes that enhance its tolerance to abiotic stresses could be a factor that contributes to its invasiveness in saline environments. Targeting the symbiotic associates of P. australis could lead to more sustainable control of non-native P. australis.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1160-z","usgsCitation":"Soares, M.A., Li, H., Kowalski, K., Bergen, M., Torres, M.S., and White, J., 2016, Evaluation of the functional roles of fungal endophytes of Phragmites australis from high saline and low saline habitats: Biological Invasions, v. 18, no. 9, p. 2689-2702, https://doi.org/10.1007/s10530-016-1160-z.","productDescription":"14 p.","startPage":"2689","endPage":"2702","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069877","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-09","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd3c","contributors":{"authors":[{"text":"Soares, Marcos Antonio","contributorId":151011,"corporation":false,"usgs":false,"family":"Soares","given":"Marcos","email":"","middleInitial":"Antonio","affiliations":[{"id":18163,"text":"Federal University of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":645347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Hai-Yan","contributorId":173654,"corporation":false,"usgs":false,"family":"Li","given":"Hai-Yan","email":"","affiliations":[{"id":18164,"text":"Kunming University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":645348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergen, Marshall","contributorId":151013,"corporation":false,"usgs":false,"family":"Bergen","given":"Marshall","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, Monica S.","contributorId":152047,"corporation":false,"usgs":false,"family":"Torres","given":"Monica","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":645350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":645351,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175458,"text":"70175458 - 2016 - Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues","interactions":[],"lastModifiedDate":"2016-09-06T13:31:30","indexId":"70175458","displayToPublicDate":"2016-08-12T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues","docAbstract":"Predation is an unforgiving selective pressure affecting the life history, morphology and behaviour of prey organisms. Selection should favour organisms that have the ability to correctly assess the information content of alarm cues. This study investigated whether adult sea lamprey Petromyzon marinus habituate to conspecific damage-released alarm cues (fresh and decayed sea lamprey extract), a heterospecific damage-released alarm cue (white sucker Catostomus commersoniiextract), predator cues (Northern water snake Nerodia sipedon washing, human saliva and 2-phenylethylamine hydrochloride (PEA HCl)) and a conspecific damage-released alarm cue and predator cue combination (fresh sea lamprey extract and human saliva) after they were pre-exposed 4 times or 8 times, respectively, to a given stimulus the previous night. Consistent with our prediction, adult sea lamprey maintained an avoidance response to conspecific damage-released alarm cues (fresh and decayed sea lamprey extract), a predator cue presented at high relative concentration (PEA HCl) and a conspecific damage-released alarm cue and predator cue combination (fresh sea lamprey extract plus human saliva), irrespective of previous exposure level. As expected, adult sea lamprey habituated to a sympatric heterospecific damage-released alarm cue (white sucker extract) and a predator cue presented at lower relative concentration (human saliva). Adult sea lamprey did not show any avoidance of the Northern water snake washing and the Amazon sailfin catfish extract (heterospecific control). This study suggests that conspecific damage-released alarm cues and PEA HCl present the best options as natural repellents in an integrated management program aimed at controlling the abundance of sea lamprey in the Laurentian Great Lakes.
","language":"English","publisher":"Kluwer Academic Publishers","publisherLocation":"Dordrecht","doi":"10.1007/s10641-016-0503-z","usgsCitation":"Imre, I., Di Rocco, R.T., Brown, G.E., and Johnson, N., 2016, Habituation of adult sea lamprey repeatedly exposed to damage-released alarm and predator cues: Environmental Biology of Fishes, v. 99, no. 8, p. 613-620, https://doi.org/10.1007/s10641-016-0503-z.","productDescription":"8 p.","startPage":"613","endPage":"620","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066069","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"8","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-05","publicationStatus":"PW","scienceBaseUri":"57aee525e4b0fc09faadbd40","contributors":{"authors":[{"text":"Imre, Istvan","contributorId":150985,"corporation":false,"usgs":false,"family":"Imre","given":"Istvan","email":"","affiliations":[{"id":6585,"text":"Algoma University","active":true,"usgs":false}],"preferred":false,"id":645326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Di Rocco, Richard T.","contributorId":150984,"corporation":false,"usgs":false,"family":"Di Rocco","given":"Richard","email":"","middleInitial":"T.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":645327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Grant E.","contributorId":173005,"corporation":false,"usgs":false,"family":"Brown","given":"Grant","email":"","middleInitial":"E.","affiliations":[{"id":6586,"text":"Concordia University","active":true,"usgs":false}],"preferred":false,"id":645328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":150983,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas S.","email":"njohnson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645325,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70164332,"text":"70164332 - 2016 - A long-term evaluation of biopsy darts and DNA to estimate cougar density","interactions":[],"lastModifiedDate":"2016-12-13T16:44:03","indexId":"70164332","displayToPublicDate":"2016-08-12T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"A long-term evaluation of biopsy darts and DNA to estimate cougar density","docAbstract":"Accurately estimating cougar (Puma concolor) density is usually based on long-term research consisting of intensive capture and Global Positioning System collaring efforts and may cost hundreds of thousands of dollars annually. Because wildlife agency budgets rarely accommodate this approach, most infer cougar density from published literature, rely on short-term studies, or use hunter harvest data as a surrogate in their jurisdictions; all of which may limit accuracy and increase risk of management actions. In an effort to develop a more cost-effective long-term strategy, we evaluated a research approach using citizen scientists with trained hounds to tree cougars and collect tissue samples with biopsy darts. We then used the DNA to individually identify cougars and employed spatially explicit capture–recapture models to estimate cougar densities. Overall, 240 tissue samples were collected in northeastern Washington, USA, producing 166 genotypes (including recaptures and excluding dependent kittens) of 133 different cougars (8-25/yr) from 2003 to 2011. Mark–recapture analyses revealed a mean density of 2.2 cougars/100 km2 (95% CI=1.1-4.3) and stable to decreasing population trends (β=-0.048, 95% CI=-0.106–0.011) over the 9 years of study, with an average annual harvest rate of 14% (range=7-21%). The average annual cost per year for field sampling and genotyping was US$11,265 ($422.24/sample or $610.73/successfully genotyped sample). Our results demonstrated that long-term biopsy sampling using citizen scientists can increase capture success and provide reliable cougar-density information at a reasonable cost.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.675","usgsCitation":"Beausoleil, R.A., Clark, J.D., and Maletzke, B.T., 2016, A long-term evaluation of biopsy darts and DNA to estimate cougar density: Wildlife Society Bulletin, v. 40, no. 3, p. 583-592, https://doi.org/10.1002/wsb.675.","productDescription":"10 p.","startPage":"583","endPage":"592","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072668","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":500041,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/82b8f68faa4c4491bb97e6ba69823c2e","text":"External Repository"},{"id":332085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","county":"Ferry County","otherGeospatial":"Game Management Unit 101","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.22113037109375,\n 49.00004203215395\n ],\n [\n -118.22113037109375,\n 48.93152205931365\n ],\n [\n -118.19641113281249,\n 48.909864610926675\n ],\n [\n -118.2183837890625,\n 48.89180956320587\n ],\n [\n -118.20465087890625,\n 48.850258199721495\n ],\n [\n -118.16894531249999,\n 48.814098527355746\n ],\n [\n -118.12225341796874,\n 48.75075629617738\n ],\n [\n -118.10577392578124,\n 48.669198799260045\n ],\n [\n -118.14971923828124,\n 48.55661410872126\n ],\n [\n -118.19091796875,\n 48.50386733939323\n ],\n [\n -118.2403564453125,\n 48.472921272487824\n ],\n [\n -118.74298095703124,\n 48.48202501720533\n ],\n [\n -118.74572753906249,\n 48.511146022547344\n ],\n [\n -118.74572753906249,\n 48.5493419587775\n ],\n [\n -118.74572753906249,\n 48.585692256886624\n ],\n [\n -118.73199462890626,\n 48.64016871811908\n ],\n [\n -118.82537841796876,\n 48.65650019559012\n ],\n [\n -118.93524169921875,\n 48.68914728403741\n ],\n [\n -118.96270751953124,\n 48.70908786918211\n ],\n [\n -118.95996093749999,\n 48.725397018130344\n ],\n [\n -118.97644042968749,\n 48.721773219750666\n ],\n [\n -118.9105224609375,\n 48.75437800586312\n ],\n [\n -118.91601562499999,\n 48.7869616455333\n ],\n [\n -118.89129638671875,\n 48.84302835299516\n ],\n [\n -118.86932373046874,\n 48.88639177703194\n ],\n [\n -118.86932373046874,\n 48.90444878143716\n ],\n [\n -118.84735107421875,\n 48.92791313673253\n ],\n [\n -118.82537841796876,\n 48.93693495409401\n ],\n [\n -118.751220703125,\n 48.935130721045326\n ],\n [\n -118.77868652343751,\n 48.96579381461063\n ],\n [\n -118.77593994140624,\n 49.001843917978526\n ],\n [\n -118.22113037109375,\n 49.00004203215395\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"585116bbe4b08138bf1abd58","contributors":{"authors":[{"text":"Beausoleil, Richard A.","contributorId":156253,"corporation":false,"usgs":false,"family":"Beausoleil","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":597058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":597057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maletzke, Benjamin T.","contributorId":156254,"corporation":false,"usgs":false,"family":"Maletzke","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":597059,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175455,"text":"70175455 - 2016 - Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents","interactions":[],"lastModifiedDate":"2016-08-11T16:20:27","indexId":"70175455","displayToPublicDate":"2016-08-11T17:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents","docAbstract":"Plague is a reemerging, rodent-associated zoonosis caused by the flea-borne bacterium Yersinia pestis. As a vector-borne disease, rates of plague transmission may increase when fleas are abundant. Fleas are highly susceptible to desiccation under hot-dry conditions; we posited that their densities decline during droughts. We evaluated this hypothesis with black-tailed prairie dogs (Cynomys ludovicianus) in New Mexico, June–August 2010–2012. Precipitation was relatively plentiful during 2010 and 2012 but scarce during 2011, the driest spring–summer on record for the northeastern grasslands of New Mexico. Unexpectedly, fleas were 200% more abundant in 2011 than in 2010 and 2012. Prairie dogs were in 27% better condition during 2010 and 2012, and they devoted 287% more time to grooming in 2012 than in 2011. During 2012, prairie dogs provided with supplemental food and water were in 23% better condition and carried 40% fewer fleas. Collectively, these results suggest that during dry years, prairie dogs are limited by food and water, and they exhibit weakened defenses against fleas. Long-term data are needed to evaluate the generality of whether droughts increase flea densities and how changes in flea abundance during sequences of dry and wet years might affect plague cycles in mammalian hosts.
","language":"English","publisher":"American Society of Mammalogists","publisherLocation":"Provo, UT","doi":"10.1093/jmammal/gyw035","usgsCitation":"Eads, D.A., Biggins, D.E., Long, D.H., Gage, K.L., and Antolin, M.F., 2016, Droughts may increase susceptibility of prairie dogs to fleas: Incongruity with hypothesized mechanisms of plague cycles in rodents: Journal of Mammalogy, v. 97, no. 4, p. 1044-1053, https://doi.org/10.1093/jmammal/gyw035.","startPage":"1044","endPage":"1053","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073196","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw035","text":"Publisher Index Page"},{"id":326422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-14","publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650f2","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Dustin H.","contributorId":14239,"corporation":false,"usgs":true,"family":"Long","given":"Dustin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":645307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gage, Kenneth L.","contributorId":61742,"corporation":false,"usgs":true,"family":"Gage","given":"Kenneth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":645308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":645309,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175454,"text":"70175454 - 2016 - Book review: Black bass diversity: Multidisciplinary science for conservation","interactions":[],"lastModifiedDate":"2016-08-11T15:52:41","indexId":"70175454","displayToPublicDate":"2016-08-11T16:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3214,"text":"The Quarterly Review of Biology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Black bass diversity: Multidisciplinary science for conservation","docAbstract":"These proceedings are from the third symposium dedicated to management and conservation of black basses in the genus Micropterus. The first symposium was held in 1975 (R. H. Stroud and H. Clepper. Black Bass Biology and Management. Washington (DC): Sport Fishing Institute) followed 25 years later by Black Bass 2000 (D. P. Philipp and M. S. Ridgway. 2002. Black Bass: Ecology, Conservation, and Management. Bethesda (MD): American Fisheries Society). Although the previous books discussed conservation of genetic variation and distinct strains of basses, the bulk of the papers in those tomes emphasized management of largemouth and smallmouth bass. In contrast, this third symposium is focused on the rarer bass species and challenges for their successful management.
\nReview info: Black bass diversity: Multidisciplinary science for conservation. Edited by Michael D. Tringali, James M. Long, Timothy W. Birdsong, and Michael S. Allen, 2015. ISBN: 978-1-934874-40-0, 685 pp.
","language":"English","publisher":"The University of Chicago Press","publisherLocation":"Chicago, IL","doi":"10.1086/688151","usgsCitation":"Jelks, H.L., 2016, Book review: Black bass diversity: Multidisciplinary science for conservation: The Quarterly Review of Biology, v. 91, no. 3, https://doi.org/10.1086/688151.","startPage":"376","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076786","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":326417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650ee","contributors":{"authors":[{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":645299,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175448,"text":"70175448 - 2016 - Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation","interactions":[],"lastModifiedDate":"2018-08-07T11:51:02","indexId":"70175448","displayToPublicDate":"2016-08-11T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1103,"text":"Bulletin of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation","docAbstract":"By the 1960s, research and monitoring efforts on chlorinated pesticide residues in tissues of wildlife were well underway in North America and Europe. Conservationists and natural resource managers were attempting to resolve whether pesticide exposure and accumulated residues were related to population declines in several species of predatory and scavenging birds (e.g., bald eagle Haliaeetus leucocephalus, peregrine falcon Falco peregrinus, brown pelican Pelecanus occidentalis and osprey Pandion haliaetus). The avian egg was a favored sampling matrix even before the realization that eggshell thinning was linked to population declines (Ratcliffe 1967; Hickey and Anderson 1968) and that the concentration of p,p’-DDE in an egg was associated with the shell thinning phenomenon (e.g., Blus et al. 1972; Wiemeyer et al. 1988). The necessity for making wet-weight concentration adjustments to account for natural moisture loss during incubation of viable eggs was realized. Correction for the more dramatic moisture loss in non-viable decaying eggs was recognized as being paramount. For example, the ∑DDT residues in osprey eggs were reported to vary by as much as eightfold without accounting for moisture loss adjustments (Stickel et al. 1965). In the absence of adjusting concentrations to the fresh wet-weight that was present at the time of egg laying, the uncorrected values exaggerated contaminant concentrations, yielding artifactual results and ultimately incorrect conclusions. The adjustment to fresh wet-weight concentration is equally important for many other persistent contaminants including PCBs, dioxins, furans, and brominated diphenyl ethers.
","language":"English","publisher":"Springer-Verlag","publisherLocation":"New York, NY","doi":"10.1007/s00128-016-1797-4","usgsCitation":"Rattner, B.A., Wiemeyer, S.N., and Blus, L.J., 2016, Retrospective: Adjusting contaminant concentrations in bird eggs to account for moisture and lipid Loss during their incubation: Bulletin of Environmental Contamination and Toxicology, v. 97, no. 1, p. 2-3, https://doi.org/10.1007/s00128-016-1797-4.","startPage":"2","endPage":"3","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074050","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":326415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-18","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510c","contributors":{"authors":[{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiemeyer, Stanley N.","contributorId":78279,"corporation":false,"usgs":true,"family":"Wiemeyer","given":"Stanley","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":645270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blus, Lawrence J.","contributorId":35199,"corporation":false,"usgs":true,"family":"Blus","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":645271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175444,"text":"70175444 - 2016 - A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas","interactions":[],"lastModifiedDate":"2016-08-11T14:49:26","indexId":"70175444","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas","docAbstract":"The 50th anniversary of the US Wilderness Act of 1964 presents a worthy opportunity to review our collective knowledge on how recreation visitation affects wilderness and protected natural area resources. Studies of recreation impacts, examined within the recreation ecology field of study, have spanned 80 years and generated more than 1,200 citations. This article examines the recreation ecology literature most relevant to wilderness and backcountry, with a focus on visitor impacts to vegetation, soil, wildlife, and water resources. We also review relationships with influential factors, such as the amount of use, visitor behavior, and vegetation type. An understanding of these impacts and their relationships with influential factors is necessary for land managers seeking to identify acceptable limits of impact or selecting management actions that will effectively avoid or minimize resource impacts.
","language":"English","publisher":"Society of American Foresters","publisherLocation":"Washington, D.C.","doi":"10.5849/jof.15-498","usgsCitation":"Marion, J.L., Leung, Y., Eagleston, H., and Burroughs, K., 2016, A review and synthesis of recreation ecology research findings on visitor impacts to wilderness and protected natural areas: Journal of Forestry, v. 114, no. 3, p. 352-362, https://doi.org/10.5849/jof.15-498.","startPage":"352","endPage":"362","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073092","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.15-498","text":"Publisher Index Page"},{"id":326410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad939fe4b0d183567650e1","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leung, Yu-Fai","contributorId":95730,"corporation":false,"usgs":true,"family":"Leung","given":"Yu-Fai","affiliations":[],"preferred":false,"id":645247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagleston, Holly","contributorId":173611,"corporation":false,"usgs":false,"family":"Eagleston","given":"Holly","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":645248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burroughs, Kaitlin","contributorId":173612,"corporation":false,"usgs":false,"family":"Burroughs","given":"Kaitlin","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":645249,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175447,"text":"70175447 - 2016 - A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking","interactions":[],"lastModifiedDate":"2016-08-11T14:52:05","indexId":"70175447","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2297,"text":"Journal of Forestry","onlineIssn":"1938-3746","printIssn":"0022-1201","active":true,"publicationSubtype":{"id":10}},"title":"A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking","docAbstract":"Resource and experiential impacts associated with visitation to wilderness and other similar backcountry settings have long been addressed by land managers under the context of “carrying capacity” decisionmaking. Determining a maximum level of allowable use, below which high-quality resource and experiential conditions would be sustained, was an early focus in the 1960s and 1970s. However, decades of recreation ecology research have shown that the severity and areal extent of visitor impact problems are influenced by an interrelated array of use-related, environmental, and managerial factors. This complexity, with similar findings from social science research, prompted scientists and managers to develop more comprehensive carrying capacity frameworks, including a new Visitor Use Management framework. These frameworks rely on a diverse array of management strategies and actions, often termed a “management toolbox,” for resolving visitor impact problems. This article reviews the most recent and relevant recreation ecology studies that have been applied in wildland settings to avoid or minimize resource impacts. The key findings and their management implications are highlighted to support the professional management of common trail, recreation site, and wildlife impact problems. These studies illustrate the need to select from a more diverse array of impact management strategies and actions based on an evaluation of problems to identify the most influential factors that can be manipulated.
","language":"English","publisher":"Society of American Foresters","publisherLocation":"Washington, D.C.","doi":"10.5849/jof.15-062","usgsCitation":"Marion, J.L., 2016, A review and synthesis of recreation ecology research supporting carrying capacity and visitor use management decisionmaking: Journal of Forestry, v. 114, no. 3, p. 339-351, https://doi.org/10.5849/jof.15-062.","startPage":"339","endPage":"351","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073094","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.15-062","text":"Publisher Index Page"},{"id":326411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650e5","contributors":{"authors":[{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":645258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175477,"text":"70175477 - 2016 - Functional role of bacteria from invasive Phragmites australis in promotion of host growth","interactions":[],"lastModifiedDate":"2016-09-16T15:45:17","indexId":"70175477","displayToPublicDate":"2016-08-11T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2729,"text":"Microbial Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Functional role of bacteria from invasive Phragmites australis in promotion of host growth","docAbstract":"We hypothesize that bacterial endophytes may enhance the competitiveness and invasiveness of Phragmites australis. To evaluate this hypothesis, endophytic bacteria were isolated from P. australis. The majority of the shoot meristem isolates represent species from phyla Firmicutes, Proteobacteria, and Actinobacteria. We chose one species from each phylum to characterize further and to conduct growth promotion experiments in Phragmites. Bacteria tested include Bacillus amyloliquefaciens A9a, Achromobacter spanius B1, and Microbacterium oxydans B2. Isolates were characterized for known growth promotional traits, including indole acetic acid (IAA) production, secretion of hydrolytic enzymes, phosphate solubilization, and antibiosis activity. Potentially defensive antimicrobial lipopeptides were assayed for through application of co-culturing experiments and mass spectrometer analysis. B. amyloliquefaciens A9a and M. oxydans B2 produced IAA. B. amyloliquefaciens A9a secreted antifungal lipopeptides. Capability to promote growth of P. australis under low nitrogen conditions was evaluated in greenhouse experiments. All three isolates were found to increase the growth of P. australis under low soil nitrogen conditions and showed increased absorption of isotopic nitrogen into plants. This suggests that the Phragmites microbes we evaluated most likely promote growth of Phragmites by enhanced scavenging of nitrogenous compounds from the rhizosphere and transfer to host roots. Collectively, our results support the hypothesis that endophytic bacteria play a role in enhancing growth of P. australis in natural populations. Gaining a better understanding of the precise contributions and mechanisms of endophytes in enabling P. australis to develop high densities rapidly could lead to new symbiosis-based strategies for management and control of the host.
","language":"English","publisher":"Springer","doi":"10.1007/s00248-016-0793-x","usgsCitation":"Soares, M.A., Li, H., Kowalski, K., Bergen, M., Torres, M.S., and White, J.F., 2016, Functional role of bacteria from invasive Phragmites australis in promotion of host growth: Microbial Ecology, v. 72, no. 2, p. 407-417, https://doi.org/10.1007/s00248-016-0793-x.","productDescription":"10 p.","startPage":"407","endPage":"417","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067030","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":326467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.51580047607422,\n 40.53754694556798\n ],\n [\n -74.4876480102539,\n 40.550330732028456\n ],\n [\n -74.47185516357422,\n 40.55372193931024\n ],\n [\n -74.44095611572266,\n 40.55267850920821\n ],\n [\n -74.42550659179688,\n 40.554243648263764\n ],\n [\n -74.40628051757812,\n 40.53650326344772\n ],\n [\n -74.3935775756836,\n 40.51353814357382\n ],\n [\n -74.3990707397461,\n 40.48299278830798\n ],\n [\n -74.40799713134766,\n 40.46836786826194\n ],\n [\n -74.4279098510742,\n 40.458964451811894\n ],\n [\n -74.47769165039062,\n 40.46575594018434\n ],\n [\n -74.5089340209961,\n 40.48952074193398\n ],\n [\n -74.5254135131836,\n 40.51353814357382\n ],\n [\n -74.51580047607422,\n 40.53754694556798\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"72","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-03","publicationStatus":"PW","scienceBaseUri":"57aef33ce4b0fc09faae0377","contributors":{"authors":[{"text":"Soares, M. A.","contributorId":173661,"corporation":false,"usgs":false,"family":"Soares","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":18163,"text":"Federal University of Mato Grosso","active":true,"usgs":false}],"preferred":false,"id":645386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, H-Y","contributorId":173662,"corporation":false,"usgs":false,"family":"Li","given":"H-Y","email":"","affiliations":[{"id":18164,"text":"Kunming University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":645387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":645385,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergen, M.","contributorId":174655,"corporation":false,"usgs":false,"family":"Bergen","given":"M.","email":"","affiliations":[],"preferred":false,"id":645388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Torres, M. S.","contributorId":173663,"corporation":false,"usgs":false,"family":"Torres","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, J. F.","contributorId":173664,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":645390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70175426,"text":"sir20165101 - 2016 - Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico","interactions":[],"lastModifiedDate":"2016-08-11T14:35:08","indexId":"sir20165101","displayToPublicDate":"2016-08-11T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5101","title":"Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico","docAbstract":"Wildfire can substantially increase the probability of debris flows, a potentially hazardous and destructive form of mass wasting, in landscapes that have otherwise been stable throughout recent history. Although the exact location, extent, and severity of wildfire or subsequent rainfall intensity and duration cannot be known, probabilities of fire and debris‑flow occurrence for given locations can be estimated with geospatial analysis and modeling. The purpose of this report is to provide information on which watersheds might constitute the most serious potential debris-flow hazards in the event of a large-scale wildfire and subsequent rainfall in the Jemez Mountains. Potential probabilities and estimated volumes of postwildfire debris flows in both the unburned and previously burned areas of the Jemez Mountains and surrounding areas were estimated using empirical debris-flow models developed by the U.S. Geological Survey in combination with fire behavior and burn probability models developed by the U.S. Forest Service.
Of the 4,998 subbasins modeled for this study, computed debris-flow probabilities in 671 subbasins were greater than 80 percent in response to the 100-year recurrence interval, 30-minute duration rainfall event. These subbasins ranged in size from 0.01 to 6.57 square kilometers (km2), with an average area of 0.29 km2, and were mostly steep, upstream tributaries to larger channels in the area. Modeled debris-flow volumes in 465 subbasins were greater than 10,000 cubic meters (m3), and 14 of those subbasins had modeled debris‑flow volumes greater than 100,000 m3.
The rankings of integrated relative debris-flow hazard indexes for each subbasin were generated by multiplying the individual subbasin values for debris-flow volume, debris‑flow probability, and average burn probability. The subbasins with integrated hazard index values in the top 2 percent typically are large, upland tributaries to canyons and channels primarily in the Upper Rio Grande and Rio Grande-Santa Fe watershed areas. No subbasins in this group have basin areas less than 1.0 km2. Many of these areas already had significant mass‑wasting episodes following the Las Conchas Fire in 2011. Other subbasins with integrated hazard index values in the top 2 percent are scattered throughout the Jemez River watershed area, including some subbasins in the interior of the Valles Caldera. Only a few subbasins in the top integrated hazard index group are in the Rio Chama watershed area.
This prewildfire assessment approach is valuable to resource managers because the analysis of the debris-flow threat is made before a wildfire occurs, which facilitates prewildfire management, planning, and mitigation. In north‑central New Mexico, widespread watershed restoration efforts are being done to safeguard vital watersheds against the threat of catastrophic wildfire. This study was designed to help select ideal locations for the restoration efforts that could have the best return on investment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165101","collaboration":"Prepared in cooperation with the Buckman Direct Diversion Board, U.S. Forest Service, Albuquerque/Bernalillo County Water Utility Authority, U.S. Army Corps of Engineers, and Los Alamos County","usgsCitation":"Tillery, A.C., and Haas, J.R., 2016, Potential postwildfire debris-flow hazards—A prewildfire evaluation for the Jemez Mountains, north-central New Mexico: U.S. Geological Survey Scientific-Investigations Report 2016-5101, 27 p., https://dx.doi.org/10.3133/sir20165101.","productDescription":"Report: vi, 27 p.; Interactive Map; GIS Files","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070303","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":326371,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5101/sir20165101.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5101"},{"id":326373,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2016/5101/sir20165101_map100yr.html","text":"Interactive Map","linkFileType":{"id":5,"text":"html"},"description":"SIR 2016-5101 Interacative Map"},{"id":326370,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5101/coverthb.jpg"},{"id":326372,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5101/sir20165101_gis.zip","text":"GIS Files","size":"88.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5101 Spatial Data"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.4410400390625,\n 36.22876574685929\n ],\n [\n -106.42044067382812,\n 36.2354121683998\n ],\n [\n -106.35589599609375,\n 36.21214722153981\n ],\n [\n -106.32293701171874,\n 36.20771501855801\n ],\n [\n -106.26113891601562,\n 36.21436322889413\n ],\n [\n -106.21719360351562,\n 36.18333341549503\n ],\n [\n -106.19110107421875,\n 36.14341987311765\n ],\n [\n -106.15402221679688,\n 36.097938036628065\n ],\n [\n -106.14715576171875,\n 36.06464195517141\n ],\n [\n -106.1334228515625,\n 36.030221194310705\n ],\n [\n -106.11557006835938,\n 35.991340960635405\n ],\n [\n -106.12518310546875,\n 35.94910642813857\n ],\n [\n -106.14578247070312,\n 35.9357645138553\n ],\n [\n -106.14578247070312,\n 35.89795019335754\n ],\n [\n -106.15676879882812,\n 35.85455268869835\n ],\n [\n -106.17050170898438,\n 35.82560781396722\n ],\n [\n -106.18698120117188,\n 35.806676609227054\n ],\n [\n -106.20758056640625,\n 35.782170703266075\n ],\n [\n -106.22543334960938,\n 35.76991491635478\n ],\n [\n -106.25015258789062,\n 35.75765724051559\n ],\n [\n -106.25976562499999,\n 35.735365718650236\n ],\n [\n -106.29547119140625,\n 35.7097227520928\n ],\n [\n -106.31332397460938,\n 35.69299463209881\n ],\n [\n -106.36962890624999,\n 35.689648586960935\n ],\n [\n -106.40533447265625,\n 35.689648586960935\n ],\n [\n -106.44241333007812,\n 35.68295607559029\n ],\n [\n -106.52069091796875,\n 35.67514743608467\n ],\n [\n -106.578369140625,\n 35.67626300279665\n ],\n [\n -106.61544799804688,\n 35.67737855391475\n ],\n [\n -106.66351318359375,\n 35.6807251137039\n ],\n [\n -106.69921875,\n 35.68295607559029\n ],\n [\n -106.74041748046875,\n 35.69745580725804\n ],\n [\n -106.77200317382812,\n 35.71641301732958\n ],\n [\n -106.776123046875,\n 35.753199435570316\n ],\n [\n -106.7816162109375,\n 35.817813158696616\n ],\n [\n -106.79397583007812,\n 35.8723596690896\n ],\n [\n -106.79946899414062,\n 35.91129848822746\n ],\n [\n -106.79534912109375,\n 35.96244608979167\n ],\n [\n -106.79946899414062,\n 35.99800750540412\n ],\n [\n -106.80496215820312,\n 36.01133890448606\n ],\n [\n -106.81732177734375,\n 36.02799998329553\n ],\n [\n -106.8145751953125,\n 36.05020927487619\n ],\n [\n -106.8035888671875,\n 36.06908224732973\n ],\n [\n -106.79397583007812,\n 36.08795069273044\n ],\n [\n -106.75003051757812,\n 36.09127994838079\n ],\n [\n -106.68960571289062,\n 36.09904766316007\n ],\n [\n -106.68685913085938,\n 36.11901826100922\n ],\n [\n -106.68136596679686,\n 36.130110843400146\n ],\n [\n -106.67037963867188,\n 36.140092827322654\n ],\n [\n -106.644287109375,\n 36.16116173423654\n ],\n [\n -106.62094116210938,\n 36.18111652966563\n ],\n [\n -106.59210205078125,\n 36.19109202182454\n ],\n [\n -106.53579711914062,\n 36.1955251660701\n ],\n [\n -106.49734497070312,\n 36.19884985954492\n ],\n [\n -106.44515991210938,\n 36.20882309283712\n ],\n [\n -106.4410400390625,\n 36.22876574685929\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
5338 Montgomery Blvd. NE
Albuquerque, New Mexico 87109
http://nm.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Methods and Approach
\n- Modeling Results
\n- Potential Postwildfire Debris-Flow Hazards
\n- Integrated Relative Debris-Flow Hazard Index Rankings
\n- Limitations of Debris-Flow Hazard Assessment
\n- Future Considerations for Prewildfire Assessments of Postwildfire Hazards
\n- Implications for Burn-Severity Mitigation Measures in the Jemez Mountains
\n- Summary
\n- Acknowledgments
\n- References Cited
\n
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,{"id":70175428,"text":"70175428 - 2016 - Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport","interactions":[],"lastModifiedDate":"2017-06-29T11:57:28","indexId":"70175428","displayToPublicDate":"2016-08-11T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5444,"text":"Applied Ocean Research","active":true,"publicationSubtype":{"id":10}},"title":"Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport","docAbstract":"A combined field and laboratory investigation was conducted to assess five options for creation of a recreational beach on a steep, armored shoreline on the eastern Black Sea coast. All designs incorporated a beach nourishment project placed between two existing, shore-normal, rubble-mound groins. Alternatives included the placement of a nearshore berm, longshore extensions added to the existing groins, and shore-parallel breakwaters. Several alternatives are reviewed for quantifying the performance of each design, including assessment of the change in shoreline position and project volume retained between the groins. Dimensionless benefits and benefit-cost ratios are quantified, and recommendations made on how to select the best outcome from a benefit-to-cost standpoint when options including hard structures are incorporated into a beach nourishment project design.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.apor.2016.07.001","usgsCitation":"Karasu, S., Work, P.A., Uzlu, E., Kankal, M., and Yuksek, O., 2016, Beach nourishment alternative assessment to constrain cross-shore and longshore sediment transport: Applied Ocean Research, v. 59, p. 459-471, https://doi.org/10.1016/j.apor.2016.07.001.","productDescription":"13 p.","startPage":"459","endPage":"471","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072859","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":326392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Turkey","city":"Rize","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 39.847412109375,\n 41.13729606112276\n ],\n [\n 39.913330078125,\n 40.76390128094589\n ],\n [\n 41.572265625,\n 41.36856413680967\n ],\n [\n 41.220703125,\n 41.50857729743935\n ],\n [\n 39.847412109375,\n 41.13729606112276\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ad93a0e4b0d183567650ec","contributors":{"authors":[{"text":"Karasu, Servet","contributorId":173591,"corporation":false,"usgs":false,"family":"Karasu","given":"Servet","email":"","affiliations":[{"id":27250,"text":"Recep Tayyip Erdogan University","active":true,"usgs":false}],"preferred":false,"id":645161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Work, Paul A. 0000-0002-2815-8040 pwork@usgs.gov","orcid":"https://orcid.org/0000-0002-2815-8040","contributorId":168561,"corporation":false,"usgs":true,"family":"Work","given":"Paul","email":"pwork@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uzlu, Ergun","contributorId":173592,"corporation":false,"usgs":false,"family":"Uzlu","given":"Ergun","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kankal, Murat","contributorId":173593,"corporation":false,"usgs":false,"family":"Kankal","given":"Murat","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yuksek, Omer","contributorId":173594,"corporation":false,"usgs":false,"family":"Yuksek","given":"Omer","email":"","affiliations":[{"id":27251,"text":"Karadeniz Technical University","active":true,"usgs":false}],"preferred":false,"id":645164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70175433,"text":"70175433 - 2016 - Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction","interactions":[],"lastModifiedDate":"2016-08-11T10:14:21","indexId":"70175433","displayToPublicDate":"2016-08-11T11:15:00","publicationYear":"2016","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":"Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction","docAbstract":"Wastewater treatment plant (WWTP) effluents are known contributors of chemical mixtures into the environment. Of particular concern are endocrine-disrupting compounds, such as estrogens, which can affect the hypothalamic-pituitary-gonadal axis function in exposed organisms. The present study examined reproductive effects in fathead minnows exposed for 21 d to a historically estrogenic WWTP effluent. Fathead minnow breeding pairs were held in control water or 1 of 3 effluent concentrations (5%, 20%, and 100%) in a novel onsite, flow-through system providing real-time exposure. The authors examined molecular and biochemical endpoints representing key events along adverse outcome pathways linking estrogen receptor activation and other molecular initiating events to reproductive impairment. In addition, the authors used chemical analysis of the effluent to construct a chemical-gene interaction network to aid in targeted gene expression analyses and identifying potentially impacted biological pathways. Cumulative fecundity was significantly reduced in fish exposed to 100% effluent but increased in those exposed to 20% effluent, the approximate dilution factor in the receiving waters. Plasma vitellogenin concentrations in males increased in a dose-dependent manner with effluent concentration; however, male fertility was not impacted. Although in vitro analyses, analytical chemistry, and biomarker responses confirmed the effluent was estrogenic, estrogen receptor agonists were unlikely the primary driver of impaired reproduction. The results provide insights into the significance of pathway-based effects with regard to predicting adverse reproductive outcomes.
","language":"English","publisher":"Elsevier Science","publisherLocation":"New York, NY","doi":"10.1002/etc.3228","collaboration":"U.S. Environmental Protection Agency; University of Minnesota-Duluth","usgsCitation":"Cavallin, J.E., Jensen, K.M., Kahl, M.D., Villeneuve, D.L., Lee, K., Schroeder, A.L., Mayasich, J., Eid, E.P., Nelson, K.R., Milsk, R.Y., Blackwell, B., Berninger, J., LaLone, C.A., Blanskma, C., Jicha, T.M., Elonen, C.M., Johnson, R.C., and Ankley, G., 2016, Pathway-based approaches for assessment of real-time exposure to an estrogenic wastewater treatment plant effluent on fathead minnow reproduction: Environmental Toxicology and Chemistry, v. 35, no. 3, p. 702-716, https://doi.org/10.1002/etc.3228.","productDescription":"15 p.","startPage":"702","endPage":"716","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065529","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":326390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326389,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1002/etc.3228"}],"volume":"35","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d18356765103","chorus":{"doi":"10.1002/etc.3228","url":"http://dx.doi.org/10.1002/etc.3228","publisher":"Wiley-Blackwell","authors":"Cavallin Jenna E., Jensen Kathleen M., Kahl Michael D., Villeneuve Daniel L., Lee Kathy E., Schroeder Anthony L., Mayasich Joe, Eid Evan P., Nelson Krysta R., Milsk Rebecca Y., Blackwell Brett R., Berninger Jason P., LaLone Carlie A., Blanksma Chad, Jicha Terri, Elonen Colleen, Johnson Rodney, Ankley Gerald T.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"2/9/2016"},"contributors":{"authors":[{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":645210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Kathleen M.","contributorId":84492,"corporation":false,"usgs":true,"family":"Jensen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":645211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kahl, Michael D.","contributorId":146306,"corporation":false,"usgs":false,"family":"Kahl","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":645212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":645213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":645214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - 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,{"id":70175132,"text":"ds1012 - 2016 - Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07","interactions":[],"lastModifiedDate":"2016-08-11T12:03:51","indexId":"ds1012","displayToPublicDate":"2016-08-11T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1012","title":"Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07","docAbstract":"This report provides a table of site descriptions, sample information, and semiquantitative aquatic macroinvertebrate data from 105 samples collected between 2005 and 2007 from 7 stream sites within the Sand Creek and Medano Creek watersheds in Great Sand Dunes National Park and Preserve, Saguache County, Colorado. Additionally, a short description of sample collection methods and laboratory sample processing procedures is presented. These data were collected in anticipation of assessing the potential effects of fish toxicants on macroinvertebrates.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1012","collaboration":"Prepared in cooperation with Great Sand Dunes National Park and Preserve","usgsCitation":"Ford, M.A., Zuellig, R.E., Walters, D.M., and Bruce, J.F., 2016, Macroinvertebrate community sample collection methods and data collected from Sand Creek and Medano Creek, Great Sand Dunes National Park and Preserve, Colorado, 2005–07: U.S. Geological Survey Data Series 1012, 3 p., https://dx.doi.org/10.3133/ds1012.","productDescription":"Report: iii, 3 p.; Appendix","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-076746","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":326377,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1012/ds1012.pdf","text":"Report","size":"796 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1012 Report"},{"id":326376,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1012/coverthb.jpg"},{"id":326379,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1012/ds1012_table1.xlsx","text":"Table 1. Description of sites, samples, and macroinvertebrate data","size":"176 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 1012 Appendix"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.75,\n 37.99\n ],\n [\n -105.75,\n 37.65\n ],\n [\n -105.42,\n 37.65\n ],\n [\n -105.42,\n 37.99\n ],\n [\n -105.75,\n 37.99\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director
U.S. Geological Survey Fort Collins Science Center
2150 Centre Ave. Building C
Fort Collins, CO 80526-8118
http://www.fort.usgs.gov
Director
U.S. Geological Survey Colorado Water Science Center
Denver Federal Center, MS-415
Building 53
Denver, CO 80225-0046
http://co.water.usgs.gov
","tableOfContents":"- Abstract
- Introduction
- Methods
- References Cited
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d183567650fc","contributors":{"authors":[{"text":"Ford, Morgan A. mford@usgs.gov","contributorId":173279,"corporation":false,"usgs":true,"family":"Ford","given":"Morgan","email":"mford@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":644047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zuellig, Robert E. 0000-0002-4784-2905 rzuellig@usgs.gov","orcid":"https://orcid.org/0000-0002-4784-2905","contributorId":1620,"corporation":false,"usgs":true,"family":"Zuellig","given":"Robert","email":"rzuellig@usgs.gov","middleInitial":"E.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":644048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":140992,"corporation":false,"usgs":true,"family":"Walters","given":"David","email":"waltersd@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":644049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, James F. 0000-0003-3125-2932 jbruce@usgs.gov","orcid":"https://orcid.org/0000-0003-3125-2932","contributorId":916,"corporation":false,"usgs":true,"family":"Bruce","given":"James","email":"jbruce@usgs.gov","middleInitial":"F.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":644050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70174298,"text":"fs20163052 - 2016 - Ecosystem vulnerability to climate change in the southeastern United States","interactions":[],"lastModifiedDate":"2016-09-12T10:01:46","indexId":"fs20163052","displayToPublicDate":"2016-08-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3052","title":"Ecosystem vulnerability to climate change in the southeastern United States","docAbstract":"Two recent investigations of climate-change vulnerability for 19 terrestrial, aquatic, riparian, and coastal ecosystems of the southeastern United States have identified a number of important considerations, including potential for changes in hydrology, disturbance regimes, and interspecies interactions. Complementary approaches using geospatial analysis and literature synthesis integrated information on ecosystem biogeography and biodiversity, climate projections, vegetation dynamics, soil and water characteristics, anthropogenic threats, conservation status, sea-level rise, and coastal flooding impacts. Across a diverse set of ecosystems—ranging in size from dozens of square meters to thousands of square kilometers—quantitative and qualitative assessments identified types of climate-change exposure, evaluated sensitivity, and explored potential adaptive capacity. These analyses highlighted key gaps in scientific understanding and suggested priorities for future research. Together, these studies help create a foundation for ecosystem-level analysis of climate-change vulnerability to support effective biodiversity conservation in the southeastern United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163052","usgsCitation":"Cartwright, J.M., and Costanza, Jennifer, 2016, Ecosystem vulnerability to climate change in the southeastern United States: U.S. Geological Survey Fact Sheet 2016–3052, 4 p., https://dx.doi.org/10.3133/fs20163052.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-076648","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326101,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/pp1828","text":"Professional Paper 1828 - ","description":"FS 2016-3052","linkHelpText":"Insular Ecosystems of the Southeastern United States: A Regional Synthesis to Support Biodiversity Conservation in a Changing Climate"},{"id":326100,"rank":3,"type":{"id":7,"text":"Companion 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\"}}]}","contact":"U.S. Department of the Interior
Southeast Climate Science Center
North Carolina State University
127 David Clark Labs
Campus Box 7617
Raleigh, NC 27695
https://globalchange.ncsu.edu/secsc/
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,{"id":70171489,"text":"ofr20161073 - 2016 - Assessing climate-sensitive ecosystems in the southeastern United States","interactions":[],"lastModifiedDate":"2016-09-12T10:02:44","indexId":"ofr20161073","displayToPublicDate":"2016-08-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1073","title":"Assessing climate-sensitive ecosystems in the southeastern United States","docAbstract":"Climate change impacts ecosystems in many ways, from effects on species to phenology to wildfire dynamics. Assessing the potential vulnerability of ecosystems to future changes in climate is an important first step in prioritizing and planning for conservation. Although assessments of climate change vulnerability commonly are done for species, fewer have been done for ecosystems. To aid regional conservation planning efforts, we assessed climate change vulnerability for ecosystems in the Southeastern United States and Caribbean.
First, we solicited input from experts to create a list of candidate ecosystems for assessment. From that list, 12 ecosystems were selected for a vulnerability assessment that was based on a synthesis of available geographic information system (GIS) data and literature related to 3 components of vulnerability—sensitivity, exposure, and adaptive capacity. This literature and data synthesis comprised “Phase I” of the assessment. Sensitivity is the degree to which the species or processes in the ecosystem are affected by climate. Exposure is the likely future change in important climate and sea level variables. Adaptive capacity is the degree to which ecosystems can adjust to changing conditions. Where available, GIS data relevant to each of these components were used. For example, we summarized observed and projected climate, protected areas existing in 2011, projected sea-level rise, and projected urbanization across each ecosystem’s distribution. These summaries were supplemented with information in the literature, and a short narrative assessment was compiled for each ecosystem. We also summarized all information into a qualitative vulnerability rating for each ecosystem.
Next, for 2 of the 12 ecosystems (East Gulf Coastal Plain Near-Coast Pine Flatwoods and Nashville Basin Limestone Glade and Woodland), the NatureServe Habitat Climate Change Vulnerability Index (HCCVI) framework was used as an alternative approach for assessing vulnerability. Use of the HCCVI approach comprised “Phase II” of the assessment. This approach uses summaries of GIS data and models to develop a series of numeric indices for components of vulnerability. We incorporated many of the data sources used in Phase I, but added the results of several other data sources, including climate envelope modeling and vegetation dynamics modeling. The results of Phase II were high and low numeric vulnerability ratings for mid-century and the end of century for each ecosystem. The high and low ratings represented the potential range of vulnerability scores owing to uncertainties in future climate conditions and ecosystem effects.
Of the 12 ecosystems assessed in the first approach, five were rated as having high vulnerability (Caribbean Coastal Mangrove, Caribbean Montane Wet Elfin Forest, East Gulf Coastal Plain Southern Loess Bluff Forest, Edwards Plateau Limestone Shrubland, and Nashville Basin Limestone Glade and Woodland). Six ecosystems had medium vulnerability, and one ecosystem had low vulnerability. For the two ecosystems assessed with both approaches, vulnerability ratings generally agreed. The assessment concluded by comparing the two approaches, identifying critical research needs, and making suggestions for future ecosystem vulnerability assessments in the Southeast and beyond. Research needs include reducing uncertainty in the degree of climate exposure likely in the future, as well as acquiring more information on how climate might affect biotic interactions and hydrologic processes. Ideally, a comprehensive vulnerability assessment would include both the narrative summaries that resulted from the synthesis in Phase I, as well as a numeric index that incorporates uncertainty as in Phase II.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161073","usgsCitation":"Costanza, Jennifer, Beck, Scott, Pyne, Milo, Terando, Adam, Rubino, Matthew, White, Rickie, and Collazo, Jaime, 2016, Assessing climate-sensitive ecosystems in the southeastern United States: U.S. Geological Survey Open-File Report 2016–1073, 278 p., https://dx.doi.org/10.3133/ofr20161073.","productDescription":"v, 278 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-064978","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":325860,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163052","text":"Fact Sheet 2016–3052 -","description":"OFR 2016-1073","linkHelpText":"Ecosystem Vulnerability to Climate Change in the Southeastern United States"},{"id":325861,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/pp1828","text":"Professional Paper 1828 -","description":"OFR 2016-1073","linkHelpText":"Insular Ecosystems of the Southeastern United States: A Regional Synthesis to Support Biodiversity Conservation in a Changing Climate"},{"id":325839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1073/ofr20161073.pdf","text":"Report","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1073"},{"id":325838,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1073/coverthb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Missouri, Mississippi, North Carolina, Oklahoma, Puerto Rico, Tennessee, Texas, Virginia, South Carolina, West 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\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
3916 Sunset Ridge Rd
Raleigh, N.C. 27607
http://nc.water.usgs.gov/
","tableOfContents":"\n- Executive Summary
\n- 1. Project Report
\n- 2. Caribbean Montane Wet Elfin Forest
\n- 3. Central Atlantic Coastal Plain Wet Longleaf Pine Savanna and Flatwoods
\n- 4. Central Florida Wet Prairie and Herbaceous Seep
\n- 5. East Gulf Coastal Plain Near-Coast Pine Flatwoods
\n- 6. East Gulf Coastal Plain Southern Loess Bluff Forest
\n- 7. Edwards Plateau Limestone Shrubland
\n- 8. Edwards Plateau Mesic Canyon
\n- 9. Manglar Costero del Caribe (Caribbean Coastal Mangrove)
\n- 10. Nashville Basin Limestone Glade and Woodland
\n- 11. South-Central Interior Mesophytic Forest
\n- 12. Southern Coastal Plain Nonriverine Cypress Dome
\n- 13. Southern Coastal Plain Seepage Swamp and Baygall
\n- Appendix A. Phase 1 Climate and Environmental Data Summaries
\n- Appendix B. Climate Sensitivity Graphs
\n- Appendix C. Projected Change in Standard Deviation of Climate Variables
\n- Appendix D. MaxEnt™—Data Preparation and Processing for the East Gulf Coastal Plain Near-Coast Pine Flatwoods Ecological System
\n
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,{"id":70171543,"text":"pp1828 - 2016 - Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate","interactions":[],"lastModifiedDate":"2016-09-12T17:00:38","indexId":"pp1828","displayToPublicDate":"2016-08-11T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1828","title":"Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate","docAbstract":"In the southeastern United States, insular ecosystems—such as rock outcrops, depression wetlands, high-elevation balds, flood-scoured riparian corridors, and insular prairies and barrens—occupy a small fraction of land area but constitute an important source of regional and global biodiversity, including concentrations of rare and endemic plant taxa. Maintenance of this biodiversity depends upon regimes of abiotic stress and disturbance, incorporating factors such as soil surface temperature, widely fluctuating hydrologic conditions, fires, flood scouring, and episodic droughts that may be subject to alteration by climate change. Over several decades, numerous localized, site-level investigations have yielded important information about the floristics, physical environments, and ecological dynamics of these insular ecosystems; however, the literature from these investigations has generally remained fragmented. This report consists of literature syntheses for eight categories of insular ecosystems of the southeastern United States, concerning (1) physical geography, (2) ecological determinants of community structures including vegetation dynamics and regimes of abiotic stress and disturbance, (3) contributions to regional and global biodiversity, (4) historical and current anthropogenic threats and conservation approaches, and (5) key knowledge gaps relevant to conservation, particularly in terms of climate-change effects on biodiversity. This regional synthesis was undertaken to discern patterns across ecosystems, identify knowledge gaps, and lay the groundwork for future analyses of climate-change vulnerability. Findings from this synthesis indicate that, despite their importance to regional and global biodiversity, insular ecosystems of the southeastern United States have been subjected to a variety of direct and indirect human alterations. In many cases, important questions remain concerning key determinants of ecosystem function. In particular, few empirical investigations in these ecosystems have focused on possible climate-change effects, despite the well-documented ecological effects of climate change at a global level. Long-term management of these ecosystems could benefit from increased scientific effort to characterize and quantify the linkages between changing environmental conditions and the ecological processes that sustain biodiversity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1828","usgsCitation":"Cartwright, J.M., and Wolfe, W.J., 2016, Insular ecosystems of the southeastern United States—A regional synthesis to support biodiversity conservation in a changing climate: U.S. Geological Survey Professional Paper 1828, 162 p., https://dx.doi.org/10.3133/pp1828.","productDescription":"viii, 162 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-055844","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":326108,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/fs20163052","text":"Fact Sheet 2016-3052 -","description":"PP 1828","linkHelpText":"Ecosystem Vulnerability to Climate Change in the Southeastern United States"},{"id":326109,"rank":4,"type":{"id":7,"text":"Companion 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\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
http://tn.water.usgs.gov/
","tableOfContents":"\n- Acknowledgments
\n- Abstract
\n- Chapter A. Introduction
\n- Chapter B. Granite Outcrops of the Piedmont
\n- Chapter C. Limestone Cedar Glades
\n- Chapter D. Xeric Limestone Prairies
\n- Chapter E. Mid-Appalachian Shale Barrens
\n- Chapter F. High-Elevation Outcrops and Balds of the Southern Appalachians
\n- Chapter G. Carolina Bays
\n- Chapter H. Karst-Depression Wetlands
\n- Chapter I. Riverscour Ecosystems
\n- Chapter J. Conclusions and Implications
\n- Glossary
\n- Appendix 1. Ecological System Names According to the International Terrestrial Ecological Systems Classification
\n- Appendix 2. Component Associations According to the International Terrestrial Ecological Systems Classification
\n- Appendix 3. Selected Plant Taxa of Conservation Concern in Insular Ecosystems of the Southeastern United States
\n- References Cited in Appendixes
\n
","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d183567650f9","contributors":{"authors":[{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":631722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, William J. 0000-0002-3292-051X wjwolfe@usgs.gov","orcid":"https://orcid.org/0000-0002-3292-051X","contributorId":140060,"corporation":false,"usgs":true,"family":"Wolfe","given":"William","email":"wjwolfe@usgs.gov","middleInitial":"J.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":false,"id":631723,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171791,"text":"ofr20161057 - 2016 - Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","interactions":[],"lastModifiedDate":"2016-08-11T09:55:24","indexId":"ofr20161057","displayToPublicDate":"2016-08-11T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1057","title":"Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014","docAbstract":"Water from the Little Arkansas River is used as source water for artificial recharge of the Equus Beds aquifer, one of the primary water-supply sources for the city of Wichita, Kansas. The U.S. Geological Survey has operated two continuous real-time water-quality monitoring stations since 1995 on the Little Arkansas River in Kansas. Regression models were developed to establish relations between discretely sampled constituent concentrations and continuously measured physical properties to compute concentrations of those constituents of interest. Site-specific regression models were originally published in 2000 for the near Halstead and near Sedgwick U.S. Geological Survey streamgaging stations and the site-specific regression models were then updated in 2003. This report updates those regression models using discrete and continuous data collected during May 1998 through August 2014. In addition to the constituents listed in the 2003 update, new regression models were developed for total organic carbon. The real-time computations of water-quality concentrations and loads are available at http://nrtwq.usgs.gov. The water-quality information in this report is important to the city of Wichita because water-quality information allows for real-time quantification and characterization of chemicals of concern (including chloride), in addition to nutrients, sediment, bacteria, and atrazine transported in the Little Arkansas River. The water-quality information in this report aids in the decision making for water treatment before artificial recharge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161057","collaboration":"Prepared in cooperation with the city of Wichita, Kansas","usgsCitation":"Rasmussen, P.P., Eslick, P.J., and Ziegler, A.C., 2016, Relations between continuous real-time physical properties and discrete water-quality constituents in the Little Arkansas River, south-central Kansas, 1998-2014: U.S. Geological Survey Open-File Report 2016–1057, 20 p., https://dx.doi.org/10.3133/ofr20161057.","productDescription":"Report: ii, 16 p.; Appendixes 1-2","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-073013","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":326275,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057.pdf","text":"Report","size":"783 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057"},{"id":326274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1057/coverthb.jpg"},{"id":326280,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix2.pdf","text":"Appendix 2","size":"2.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 2"},{"id":326276,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1057/ofr20161057_appendix1.pdf","text":"Appendix 1","size":"2.65 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1057 Appendix 1"}],"country":"United States","state":"Kansas","otherGeospatial":"Little Arkansas River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.2,\n 37.75\n ],\n [\n -98.2,\n 38.6\n ],\n [\n -97.25,\n 38.6\n ],\n [\n -97.25,\n 37.75\n ],\n [\n -98.2,\n 37.75\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Kansas Water Science Center
U.S. Geological Survey
4821 Quail Crest Place
Lawrence, KS 66049
\nhttp://ks.water.usgs.gov
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Methods
\n- Results of Regression Analysis for Selected Constituents
\n- Summary
\n- References Cited
\n
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-08-11","noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57ad93a2e4b0d1835676510a","contributors":{"authors":[{"text":"Rasmussen, Patrick P. 0000-0002-3287-6010 pras@usgs.gov","orcid":"https://orcid.org/0000-0002-3287-6010","contributorId":3530,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Patrick","email":"pras@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":632395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eslick, Patrick J. peslick@usgs.gov","contributorId":148966,"corporation":false,"usgs":true,"family":"Eslick","given":"Patrick J.","email":"peslick@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegler, Andrew C. aziegler@usgs.gov","contributorId":433,"corporation":false,"usgs":true,"family":"Ziegler","given":"Andrew C.","email":"aziegler@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":645022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175277,"text":"ofr20161129 - 2016 - 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","interactions":[],"lastModifiedDate":"2016-08-11T09:05:24","indexId":"ofr20161129","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1129","title":"2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado","docAbstract":"Dissolved-selenium loading analyses of data collected at 18 water-quality sites in the lower Gunnison River Basin in Colorado were completed through water year (WY) 2014. A WY is defined as October 1–September 30. Selenium is a trace element that bioaccumulates in aquatic food chains and can cause reproductive failure, deformities, and other harmful effects. This report presents information on the dissolved-selenium loads at 18 sites in the lower Gunnison River Basin for WYs 2011–2014. Annual dissolved-selenium loads were calculated at 5 sites with continuous U.S. Geological Survey (USGS) streamflow gages, whereas instantaneous dissolved-selenium loads were calculated for the remaining 13 sites using water-quality samples that had been collected periodically during WYs 2011–2014. Annual dissolved-selenium loads for WY 2014 ranged from 336 pounds (lb) at Uncompahgre River at Colona to 13,300 lb at Gunnison River near Grand Junction (Whitewater). Most sites in the basin had a median instantaneous dissolved-selenium load of less than 20.0 lb per day. In general, dissolved-selenium loads at Gunnison River main-stem sites showed an increase from upstream to downstream.
The State of Colorado water-quality standard for dissolved selenium of 4.6 micrograms per liter (µg/L) was compared to the 85th percentiles for dissolved selenium at selected water-quality sites. Annual 85th percentiles for dissolved selenium were calculated for the five core USGS sites having streamflow gages using estimated dissolved-selenium concentrations from linear regression models. These annual 85th percentiles in WY 2014 ranged from 0.97 µg/L at Uncompahgre River at Colona to 16.7 µg/L at Uncompahgre River at Delta. Uncompahgre River at Delta and Whitewater were the only core sites where water samples exceeded the State of Colorado water-quality standard for dissolved selenium of 4.6 µg/L.
Instantaneous 85th percentiles for dissolved selenium were calculated for sites with sufficient data using water-quality samples collected during WYs 2011–2014. The instantaneous 85th percentiles for samples for WY 2014 ranged from 1.1 µg/L at Uncompahgre River at Colona to 125 µg/L at Loutzenhizer Arroyo at North River Road.
A trend analysis was completed for Whitewater to determine if dissolved-selenium loads are increasing or decreasing. The trend analysis indicates a decrease of 8,000 lb from WY 1986 to WY 2014, a 34.8 percent reduction during the time period, and an additional 6.2 percent reduction from a reported 28.6 percent reduction during WYs 1986–2008. The trend analysis for WY 1992 to WY 2014 indicates a decrease of 5,800 lb per year, or 27.9 percent.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161129","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Henneberg, M.F., 2016, 2014 annual summary of the lower Gunnison River Basin Selenium Management Program water-quality monitoring, Colorado: U.S. Geological Survey Open-File Report 2016–1129, 25 p., https://dx.doi.org/10.3133/ofr20161129. ","productDescription":"iv, 26 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-076878","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":326308,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1129/ofr20161129.pdf","text":"Report","size":"3.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1129"},{"id":326307,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1129/coverthb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Lower Gunnison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.39935302734375,\n 39.095962936305504\n ],\n [\n -108.270263671875,\n 39.059716474034666\n ],\n [\n -108.160400390625,\n 39.03838632847038\n ],\n [\n -107.99011230468749,\n 39.06824672852526\n ],\n [\n -107.874755859375,\n 39.095962936305504\n ],\n [\n -107.786865234375,\n 39.089567854849314\n ],\n [\n -107.70172119140624,\n 39.0533181067413\n ],\n [\n -107.6055908203125,\n 38.976492485539424\n ],\n [\n -107.6055908203125,\n 38.805470223177466\n ],\n [\n -107.70721435546875,\n 38.62116234642254\n ],\n [\n -107.808837890625,\n 38.43207668538204\n ],\n [\n -107.841796875,\n 38.28131307922969\n ],\n [\n -107.81982421874999,\n 38.048091067457236\n ],\n [\n -107.81982421874999,\n 37.95286091815649\n ],\n [\n -107.92144775390625,\n 37.91820111976663\n ],\n [\n -108.0120849609375,\n 37.91603433975963\n ],\n [\n -108.15216064453125,\n 37.94203148678865\n ],\n [\n -108.26202392578125,\n 38.07404145941957\n ],\n [\n -108.44329833984374,\n 38.47939467327645\n ],\n [\n -108.5723876953125,\n 38.70908932739828\n ],\n [\n -108.6053466796875,\n 38.83542884007303\n ],\n [\n -108.58612060546875,\n 39.04691915968503\n ],\n [\n -108.49822998046875,\n 39.104488809440475\n ],\n [\n -108.39935302734375,\n 39.095962936305504\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS 415
Denver, CO 80225-0046
\nhttp://co.water.usgs.gov/
","tableOfContents":"- Abstract
- Introduction
- Dissolved-Selenium Concentrations and Loads
- Dissolved-Selenium 85th-Percentile Analyses
- Dissolved-Selenium Trend Analysis
- Summary
- References Cited
- Appendix 1. S-LOADEST Equation Forms, Variable Coefficients, and Statistical Diagnostics
- Appendix 2. Calibration Data for 2014 Annual Load and Trend Regressions
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2016-08-10","noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"57ac4226e4b0d183567452e9","contributors":{"authors":[{"text":"Henneberg, Mark F. 0000-0002-6991-1211 mfhenneb@usgs.gov","orcid":"https://orcid.org/0000-0002-6991-1211","contributorId":173569,"corporation":false,"usgs":true,"family":"Henneberg","given":"Mark","email":"mfhenneb@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":644657,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169856,"text":"sir20165038 - 2016 - Alaska Arctic marine fish ecology catalog","interactions":[],"lastModifiedDate":"2017-10-19T15:24:37","indexId":"sir20165038","displayToPublicDate":"2016-08-10T12:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5038","title":"Alaska Arctic marine fish ecology catalog","docAbstract":"The marine fishes in waters of the United States north of the Bering Strait have received new and increased scientific attention over the past decade (2005–15) in conjunction with frontier qualities of the region and societal concerns about the effects of Arctic climate change. Commercial fisheries are negligible in the Chukchi and Beaufort Seas, but many marine species have important traditional and cultural values to Alaska Native residents. Although baseline conditions are rapidly changing, effective decisions about research and monitoring investments must be based on reliable information and plausible future scenarios. For the first time, this synthesis presents a comprehensive evaluation of the marine fish fauna from both seas in a single reference. Although many unknowns and uncertainties remain in the scientific understanding, information presented here is foundational with respect to understanding marine ecosystems and addressing dual missions of the U.S. Department of the Interior for energy development and resource conservation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165038","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management, Environmental Studies Program (OCS Study, BOEM 2016-048)","usgsCitation":"Thorsteinson, L.K., and Love, M.S., eds., 2016, Alaska Arctic marine fish ecology catalog: U.S. Geological Survey Scientific Investigations Report 2016-5038 (OCS Study, BOEM 2016-048), 768 p., https://dx.doi.org/10.3133/sir20165038.","productDescription":"xi, 768 p.","numberOfPages":"783","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068293","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":326434,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles4.pdf","text":"Fish Profiles - Inconnu and Glacial Lanternfish","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326439,"rank":12,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles9.pdf","text":"Fish Profiles - Sea Tadpole to Polar Eelpout","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":333599,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7M61HD7","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset for Alaska Marine Fish Ecology Catalog"},{"id":326440,"rank":13,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles10.pdf","text":"Fish Profiles - Marbled Eelpout to Banded Gunnel","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326441,"rank":14,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles11.pdf","text":"Fish Profiles - Northern Wolffish to Greenland Halibut","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":325146,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5038/coverthb2.jpg"},{"id":326430,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_chapters.pdf","text":"Report - does not include fish profiles","size":"13.7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326432,"rank":5,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles2.pdf","text":"Fish Profiles - Spotted Spiny Dogfish to Bering Cisco","size":"8.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326436,"rank":9,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles6.pdf","text":"Fish Profiles - Threespine Stickleback to Antlered Scuplin","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326437,"rank":10,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles7.pdf","text":"Fish Profiles - Arctic Staghorn Sculpin to Ribbed Sculpin","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326435,"rank":8,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles5.pdf","text":"Fish Profiles - Ice Cod to Pacific Cod","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326429,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038.pdf","text":"Complete Report","size":"122.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5038 Complete Report PDF"},{"id":326438,"rank":11,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles8.pdf","text":"Fish Profiles - Crested Sculpin to Leatherfin Lumpsucker","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326433,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles3.pdf","text":"Fish Profiles - Broad Whitefish to Dolly Varden","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":326431,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5038/sir20165038_profiles1.pdf","text":"Fish Profiles - Pacific and Arctic Lampreys","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"Regional Director, Alaska
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508-4560
https://www.usgs.gov/science/regions/alaska-region
","tableOfContents":"\n- Acknowledgments
\n- Chapter 1. Alaska Arctic Marine Fish Ecology Catalog—Chukchi and Beaufort Seas
\n- Chapter 2. Alaska Arctic Marine Fish Inventory
\n- Chapter 3. Alaska Arctic Marine Fish Species Accounts
\n- Chapter 4. Synthesis of Arctic Alaska Marine Fish Ecology
\n- Chapter 5. Arctic Climate Change—A Tale Of Two Cods
\n- Chapter 6. Conservation of Arctic Alaska’s Marine Fish Resources
\n- Chapter 7. Glossary of Ecological Terms
\n- Chapter 8. References Cited
\n- Appendixes A-C
\n
\n
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2016-08-08","noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57a99f24e4b05e859bdf4851","contributors":{"editors":[{"text":"Thorsteinson, Lyman K. lthorsteinson@usgs.gov","contributorId":3000,"corporation":false,"usgs":true,"family":"Thorsteinson","given":"Lyman","email":"lthorsteinson@usgs.gov","middleInitial":"K.","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":642285,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Love, Milton S.","contributorId":74652,"corporation":false,"usgs":true,"family":"Love","given":"Milton S.","affiliations":[],"preferred":false,"id":642286,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70175422,"text":"70175422 - 2016 - Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado","interactions":[],"lastModifiedDate":"2016-08-10T09:56:12","indexId":"70175422","displayToPublicDate":"2016-08-10T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado","docAbstract":"Knowledge of the factors affecting the vigor of desert riparian trees is important for their conservation and management. I used multiple regression to assess effects of streamflow and climate (12–14 years of data) or climate alone (up to 60 years of data) on radial growth of clonal narrowleaf cottonwood (Populus angustifolia), a foundation species in the arid, Closed Basin portion of the San Luis Valley, Colorado. I collected increment cores from trees (14–90 cm DBH) at four sites along each of Sand and Deadman creeks (total N = 85), including both perennial and ephemeral reaches. Analyses on trees <110 m from the stream channel explained 33–64% of the variation in standardized growth index (SGI) over the period having discharge measurements. Only 3 of 7 models included a streamflow variable; inclusion of prior-year conditions was common. Models for trees farther from the channel or over a deep water table explained 23–71% of SGI variability, and 4 of 5 contained a streamflow variable. Analyses using solely climate variables over longer time periods explained 17–85% of SGI variability, and 10 of 12 included a variable indexing summer precipitation. Three large, abrupt shifts in recent decades from wet to dry conditions (indexed by a seasonal Palmer Drought Severity Index) coincided with dramatically reduced radial growth. Each shift was presumably associated with branch dieback that produced a legacy effect apparent in many SGI series: uncharacteristically low SGI in the year following the shift. My results suggest trees in locations distant from the active channel rely on the regional shallow unconfined aquifer, summer rainfall, or both to meet water demands. The landscape-level differences in the water supplies sustaining these trees imply variable effects from shifts in winter-versus monsoon-related precipitation, and from climate change versus streamflow or groundwater management.
","language":"English","publisher":"Academic Press","publisherLocation":"London","doi":"10.1016/j.jaridenv.2016.07.005","usgsCitation":"Andersen, D., 2016, Climate, streamflow, and legacy effects on growth of riparian Populus angustifolia in the arid San Luis Valley, Colorado: Journal of Arid Environments, v. 134, p. 104-121, https://doi.org/10.1016/j.jaridenv.2016.07.005.","startPage":"104","endPage":"121","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071295","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470671,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2016.07.005","text":"Publisher Index Page"},{"id":326343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.84983825683594,\n 37.62075814551956\n ],\n [\n -105.84983825683594,\n 38.03078569382294\n ],\n [\n -105.47561645507812,\n 38.03078569382294\n ],\n [\n -105.47561645507812,\n 37.62075814551956\n ],\n [\n -105.84983825683594,\n 37.62075814551956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452ec","chorus":{"doi":"10.1016/j.jaridenv.2016.07.005","url":"http://dx.doi.org/10.1016/j.jaridenv.2016.07.005","publisher":"Elsevier BV","authors":"Andersen Douglas C.","journalName":"Journal of Arid Environments","publicationDate":"11/2016"},"contributors":{"authors":[{"text":"Andersen, Douglas doug_andersen@usgs.gov","contributorId":152661,"corporation":false,"usgs":true,"family":"Andersen","given":"Douglas","email":"doug_andersen@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":645133,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70175410,"text":"70175410 - 2016 - Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics","interactions":[],"lastModifiedDate":"2016-08-26T11:15:54","indexId":"70175410","displayToPublicDate":"2016-08-10T10:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics","docAbstract":"Though shallow flow of hydrothermal fluids in Long Valley Caldera, California, has been well studied, neither the hydrothermal source reservoir nor heat source has been well characterized. Here a grid of magnetotelluric data were collected around the Long Valley volcanic system and modeled in 3-D. The preferred electrical resistivity model suggests that the source reservoir is a narrow east-west elongated body 4 km below the west moat. The heat source could be a zone of 2–5% partial melt 8 km below Deer Mountain. Additionally, a collection of hypersaline fluids, not connected to the shallow hydrothermal system, is found 3 km below the medial graben, which could originate from a zone of 5–10% partial melt 8 km below the south moat. Below Mammoth Mountain is a 3 km thick isolated body containing fluids and gases originating from an 8 km deep zone of 5–10% basaltic partial melt.
","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL069263","usgsCitation":"Peacock, J.R., Mangan, M.T., McPhee, D., and Wannamaker, P.E., 2016, Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics: Geophysical Research Letters, v. 43, no. 15, p. 7953-7962, https://doi.org/10.1002/2016GL069263.","productDescription":"10 p.","startPage":"7953","endPage":"7962","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074195","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499825,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/8141104d95554d10b45eedd01006b332","text":"External Repository"},{"id":326333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.083333,\n 37.791667\n ],\n [\n -119.083333,\n 37.55\n ],\n [\n -118.666667,\n 37.55\n ],\n [\n -118.666667,\n 37.791667\n ],\n [\n -119.083333,\n 37.791667\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-08","publicationStatus":"PW","scienceBaseUri":"57ac4227e4b0d183567452f0","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224 jpeacock@usgs.gov","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":4996,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared","email":"jpeacock@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":645107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":645108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhee, Darcy 0000-0002-5177-3068 dmcphee@usgs.gov","orcid":"https://orcid.org/0000-0002-5177-3068","contributorId":2621,"corporation":false,"usgs":true,"family":"McPhee","given":"Darcy","email":"dmcphee@usgs.gov","affiliations":[{"id":412,"text":"National Cooperative Geologic Mapping Program","active":false,"usgs":true}],"preferred":true,"id":645109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wannamaker, Phil E.","contributorId":173574,"corporation":false,"usgs":false,"family":"Wannamaker","given":"Phil","email":"","middleInitial":"E.","affiliations":[{"id":7079,"text":"Energy and Geoscience Institute, University of Utah","active":true,"usgs":false}],"preferred":false,"id":645110,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176144,"text":"70176144 - 2016 - Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","interactions":[],"lastModifiedDate":"2018-02-01T12:31:18","indexId":"70176144","displayToPublicDate":"2016-08-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2049,"text":"International Journal of Greenhouse Gas Control","active":true,"publicationSubtype":{"id":10}},"title":"Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers","docAbstract":"Rising atmospheric carbon dioxide (CO2) concentrations are fueling anthropogenic climate change. Geologic sequestration of anthropogenic CO2 in depleted oil reservoirs is one option for reducing CO2 emissions to the atmosphere while enhancing oil recovery. In order to evaluate the feasibility of using enhanced oil recovery (EOR) sites in the United States for permanent CO2 storage, an active multi-stage miscible CO2flooding project in the Permian Basin (North Ward Estes Field, near Wickett, Texas) was investigated. In addition, two major natural CO2 reservoirs in the southeastern Paradox Basin (McElmo Dome and Doe Canyon) were also investigated as they provide CO2 for EOR operations in the Permian Basin. Produced gas and water were collected from three different CO2 flooding phases (with different start dates) within the North Ward Estes Field to evaluate possible CO2 storage mechanisms and amounts of total CO2retention. McElmo Dome and Doe Canyon were sampled for produced gas to determine the noble gas and stable isotope signature of the original injected EOR gas and to confirm the source of this naturally-occurring CO2. As expected, the natural CO2produced from McElmo Dome and Doe Canyon is a mix of mantle and crustal sources. When comparing CO2 injection and production rates for the CO2 floods in the North Ward Estes Field, it appears that CO2 retention in the reservoir decreased over the course of the three injections, retaining 39%, 49% and 61% of the injected CO2 for the 2008, 2010, and 2013 projects, respectively, characteristic of maturing CO2 miscible flood projects. Noble gas isotopic composition of the injected and produced gas for the flood projects suggest no active fractionation, while δ13C![\"single](\"http://cdn.els-cdn.com/sd/entities/sbnd\")
CO2 values suggest no active CO2dissolution into formation water, or mineralization. CO2 volumes capable of dissolving in residual formation fluids were also estimated along with the potential to store pure-phase supercritical CO2. Using a combination of dissolution trapping and residual trapping, both volumes of CO2 currently retained in the 2008 and 2013 projects could be justified, suggesting no major leakage is occurring. These subsurface reservoirs, jointly considered, have the capacity to store up to 9 years of CO2 emissions from an average US powerplant.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijggc.2016.05.008","usgsCitation":"Shelton, J., McIntosh, J.C., Hunt, A.G., Beebe, T.L., Parker, A.D., Warwick, P.D., Drake II, R.M., and McCray, J.E., 2016, Determining CO2 storage potential during miscible CO2 enhanced oil recovery: Noble gas and stable isotope tracers: International Journal of Greenhouse Gas Control, v. 51, p. 239-253, https://doi.org/10.1016/j.ijggc.2016.05.008.","productDescription":"14 p.","startPage":"239","endPage":"253","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069409","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijggc.2016.05.008","text":"Publisher Index Page"},{"id":328027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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