{"pageNumber":"1548","pageRowStart":"38675","pageSize":"25","recordCount":184553,"records":[{"id":70129208,"text":"70129208 - 2013 - Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","interactions":[],"lastModifiedDate":"2017-06-30T15:13:30","indexId":"70129208","displayToPublicDate":"2013-01-01T10:26:41","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>","docAbstract":"<p>Carbon dioxide sequestration is now considered an important component of the portfolio of options for reducing greenhouse gas emissions to stabilize their atmospheric levels at values that would limit global temperature increases to the target of 2 °C by the end of the century (Pacala and Socolow 2004; IPCC 2005, 2007; Benson and Cook 2005; Benson and Cole 2008; IEA 2012; Romanak et al. 2013). Increased anthropogenic emissions of CO2 have raised its atmospheric concentrations from about 280 ppmv during pre-industrial times to ~400 ppmv today, and based on several defined scenarios, CO2 concentrations are projected to increase to values as high as 1100 ppmv by 2100 (White et al. 2003; IPCC 2005, 2007; EIA 2012; Global CCS Institute 2012). An atmospheric CO2 concentration of 450 ppmv is generally the accepted level that is needed to limit global temperature increases to the target of 2 °C by the end of the century. This temperature limit likely would moderate the adverse effects related to climate change that could include sea-level rise from the melting of alpine glaciers and continental ice sheets and from the ocean warming; increased frequency and intensity of wildfires, floods, droughts, and tropical storms; and changes in the amount, timing, and distribution of rain, snow, and runoff (IPCC 2007; Sundquist et al. 2009; IEA 2012). Rising atmospheric CO2 concentrations are also increasing the amount of CO2 dissolved in ocean water lowering its pH from 8.1 to 8.0, with potentially disruptive effects on coral reefs, plankton and marine ecosystems (Adams and Caldeira 2008; Schrag 2009; Sundquist et al. 2009). Sedimentary basins in general and deep saline aquifers in particular are being investigated as possible repositories for the large volumes of anthropogenic CO2 that must be sequestered to mitigate global warming and related climate changes (Hitchon 1996; Benson and Cole 2008; Verma and Warwick 2011).</p>","language":"English","publisher":"Mineralogical Society of America","publisherLocation":"Washington, D.C.","doi":"10.2138/rmg.2013.77.11","usgsCitation":"Kharaka, Y.K., Cole, D.R., Thordsen, J., Gans, K.D., and Thomas, R.B., 2013, Geochemical monitoring for potential environmental impacts of geologic sequestration of CO<sub>2</sub>: Reviews in Mineralogy and Geochemistry, v. 77, no. 1, p. 399-430, https://doi.org/10.2138/rmg.2013.77.11.","productDescription":"32 p.","startPage":"399","endPage":"430","numberOfPages":"32","ipdsId":"IP-051042","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295478,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2138/rmg.2013.77.11"}],"volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"544775afe4b0f888a81b831a","contributors":{"authors":[{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, David R.","contributorId":79044,"corporation":false,"usgs":true,"family":"Cole","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":503546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Kathleen D. 0000-0002-7545-9655 kgans@usgs.gov","orcid":"https://orcid.org/0000-0002-7545-9655","contributorId":5403,"corporation":false,"usgs":true,"family":"Gans","given":"Kathleen","email":"kgans@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":503545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Randal B. burt_thomas@usgs.gov","contributorId":5073,"corporation":false,"usgs":true,"family":"Thomas","given":"Randal","email":"burt_thomas@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503544,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70125648,"text":"70125648 - 2013 - Comparing mechanisms of host manipulation across host and parasite taxa","interactions":[],"lastModifiedDate":"2017-06-30T15:14:15","indexId":"70125648","displayToPublicDate":"2013-01-01T10:22:27","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing mechanisms of host manipulation across host and parasite taxa","docAbstract":"Parasites affect host behavior in several ways. They can alter activity, microhabitats or both. For trophically transmitted parasites (the focus of our study), decreased activity might impair the ability of hosts to respond to final-host predators, and increased activity and altered microhabitat choice might increase contact rates between hosts and final-host predators. In an analysis of trophically transmitted parasites, more parasite groups altered activity than altered microhabitat choice. Parasites that infected vertebrates were more likely to impair the host’s reaction to predators, whereas parasites that infected invertebrates were more likely to increase the host’s contact with predators. The site of infection might affect how parasites manipulate their hosts. For instance, parasites in the central nervous system seem particularly suited to manipulating host behavior. Manipulative parasites commonly occupy the body cavity, muscles and central nervous systems of their hosts. Acanthocephalans in the data set differed from other taxa in that they occurred exclusively in the body cavity of invertebrates. In addition, they were more likely to alter microhabitat choice than activity. Parasites in the body cavity (across parasite types) were more likely to be associated with increased host contact with predators. Parasites can manipulate the host through energetic drain, but most parasites use more sophisticated means. For instance, parasites target four physiological systems that shape behavior in both invertebrates and vertebrates: neural, endocrine, neuromodulatory and immunomodulatory. The interconnections between these systems make it difficult to isolate specific mechanisms of host behavioral manipulation.","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.073668","usgsCitation":"Lafferty, K.D., and Shaw, J., 2013, Comparing mechanisms of host manipulation across host and parasite taxa: Journal of Experimental Biology, v. 216, p. 56-66, https://doi.org/10.1242/jeb.073668.","productDescription":"11 p.","startPage":"56","endPage":"66","numberOfPages":"11","ipdsId":"IP-038578","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":474005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.073668","text":"Publisher Index Page"},{"id":294117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294034,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1242/jeb.073668"}],"volume":"216","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf421e4b0e96537ddf66f","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shaw, Jenny C.","contributorId":7196,"corporation":false,"usgs":true,"family":"Shaw","given":"Jenny C.","affiliations":[],"preferred":false,"id":501536,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118538,"text":"70118538 - 2013 - Overestimated water storage","interactions":[],"lastModifiedDate":"2014-07-29T10:23:36","indexId":"70118538","displayToPublicDate":"2013-01-01T10:21:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Overestimated water storage","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Nature Geoscience","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nature Pub. Group","publisherLocation":"New York, NY","doi":"10.1038/ngeo1659","usgsCitation":"Konikow, L.F., 2013, Overestimated water storage: Nature Geoscience, v. 6, no. 1, 3 p., https://doi.org/10.1038/ngeo1659.","productDescription":"3 p.","numberOfPages":"3","costCenters":[],"links":[{"id":474006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/ngeo1659","text":"Publisher Index Page"},{"id":291264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291263,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1038/ngeo1659"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-12-21","publicationStatus":"PW","scienceBaseUri":"57f7f38de4b0bc0bec0a0a40","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":496946,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70126213,"text":"70126213 - 2013 - Serum chemistry, hematologic, and post-mortem findings in free-ranging bobcats (<i>Lynx rufus</i>) with notoedric mange","interactions":[],"lastModifiedDate":"2014-09-23T10:20:46","indexId":"70126213","displayToPublicDate":"2013-01-01T10:19:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"Serum chemistry, hematologic, and post-mortem findings in free-ranging bobcats (<i>Lynx rufus</i>) with notoedric mange","docAbstract":"Notoedric mange was responsible for a population decline of bobcats (<i>Lynx rufus</i>) in 2 Southern California counties from 2002–2006 and is now reported to affect bobcats in Northern and Southern California. With this study we document clinical laboratory and necropsy findings for bobcats with mange. Bobcats in this study included free-ranging bobcats with mange (n = 34), a control group of free-ranging bobcats without mange (n = 11), and a captive control group of bobcats without mange (n = 19). We used 2 control groups to evaluate potential anomalies due to capture stress or diet. Free-ranging healthy and mange-infected bobcats were trapped or salvaged. Animals were tested by serum biochemistry, complete blood count, urine protein and creatinine, body weight, necropsy, and assessment for anticoagulant rodenticide residues in liver tissue. Bobcats with severe mange were emaciated, dehydrated, and anemic with low serum creatinine, hyperphosphatemia, hypoglycemia, hypernatremia, and hyperchloremia, and sometimes septicemic when compared to control groups. Liver enzymes and leukocyte counts were elevated in free-ranging, recently captured bobcats whether or not they were infested with mange, suggesting capture stress. Bobcats with mange had lower levels of serum cholesterol, albumin, globulin, and total protein due to protein loss likely secondary to severe dermatopathy. Renal insufficiency was unlikely in most cases, as urine protein:creatinine ratios were within normal limits. A primary gastrointestinal loss of protein or blood was possible in a few cases, as evidenced by elevated blood urea nitrogen, anemia, intestinal parasitism, colitis, gastric hemorrhage, and melena. The prevalence of exposure to anticoagulant rodenticides was 100% (n = 15) in bobcats with mange. These findings paint a picture of debilitating, multisystemic disease with infectious and toxic contributing factors that can progress to death in individuals and potential decline in populations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Parasitology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Parasitologists","publisherLocation":"Lawrence, KS","doi":"10.1645/12-175.1","usgsCitation":"Serieys, L., Foley, J., Owens, S., Woods, L., Boydston, E.E., Lyren, L.M., Poppenga, R.H., Clifford, D.L., Stephenson, N., Rudd, J., and Riley, S.P., 2013, Serum chemistry, hematologic, and post-mortem findings in free-ranging bobcats (<i>Lynx rufus</i>) with notoedric mange: Journal of Parasitology, v. 99, no. 6, p. 989-996, https://doi.org/10.1645/12-175.1.","productDescription":"8 p.","startPage":"989","endPage":"996","numberOfPages":"8","ipdsId":"IP-044878","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294228,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1645/12-175.1"}],"volume":"99","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb31e4b08312ac7cf0cf","contributors":{"authors":[{"text":"Serieys, Laurel E.K.","contributorId":86695,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel E.K.","affiliations":[{"id":7081,"text":"University of California - Los Angeles","active":true,"usgs":false}],"preferred":false,"id":501942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Janet","contributorId":64799,"corporation":false,"usgs":true,"family":"Foley","given":"Janet","affiliations":[],"preferred":false,"id":501938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Owens, Sean","contributorId":94607,"corporation":false,"usgs":true,"family":"Owens","given":"Sean","email":"","affiliations":[],"preferred":false,"id":501944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woods, Leslie","contributorId":94231,"corporation":false,"usgs":true,"family":"Woods","given":"Leslie","affiliations":[],"preferred":false,"id":501943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501934,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyren, Lisa M. llyren@usgs.gov","contributorId":2398,"corporation":false,"usgs":true,"family":"Lyren","given":"Lisa","email":"llyren@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501935,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poppenga, Robert H.","contributorId":76063,"corporation":false,"usgs":false,"family":"Poppenga","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":501940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clifford, Deana L.","contributorId":13556,"corporation":false,"usgs":true,"family":"Clifford","given":"Deana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":501936,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephenson, Nicole","contributorId":60969,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":501937,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rudd, Jaime","contributorId":71490,"corporation":false,"usgs":true,"family":"Rudd","given":"Jaime","affiliations":[],"preferred":false,"id":501939,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Riley, Seth P.D.","contributorId":83246,"corporation":false,"usgs":true,"family":"Riley","given":"Seth","email":"","middleInitial":"P.D.","affiliations":[],"preferred":false,"id":501941,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70121488,"text":"70121488 - 2013 - Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","interactions":[],"lastModifiedDate":"2014-08-22T10:22:26","indexId":"70121488","displayToPublicDate":"2013-01-01T10:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana","docAbstract":"<p>Coastal Louisiana wetlands contain about 37% of the estuarine herbaceous marshes in the conterminous United States. The long-term stability of coastal wetlands is often a function of a wetland's ability to maintain elevation equilibrium with mean sea level through processes such as primary production and sediment accretion. However, Louisiana has sustained more coastal wetland loss than all other states in the continental United States combined due to a combination of natural and anthropogenic factors, including sea-level rise. This study investigates the potential impact of current and accelerating sea-level rise rates on key coastal wetland habitats in southeastern Louisiana using the Sea Level Affecting Marshes Model (SLAMM). Model calibration was conducted using a 1956–2007 observation period and hindcasting results predicted 35% versus observed 39% total marsh loss. Multiple sea-level-rise scenarios were then simulated for the period of 2007–2100. Results indicate a range of potential wetland losses by 2100, from an additional 2,188.97 km<sup>2</sup> (218,897 ha, 9% of the 2007 wetland area) under the lowest sea-level-rise scenario (0.34 m), to a potential loss of 5,875.27 km<sup>2</sup> (587,527 ha, 24% of the 2007 wetland area) in the highest sea-level-rise scenario (1.9 m). Model results suggest that one area of particular concern is the potential vulnerability of the region's baldcypress-water tupelo (<i>Taxodium distichum-Nyssa aquatica</i>) swamp habitat, much of which is projected to become permanently flooded (affecting regeneration) under all modeled scenarios for sea-level rise. These findings will aid in the development of ecosystem management plans that support the processes and conditions that result in sustainable coastal ecosystems.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-0017.1","usgsCitation":"Glick, P., Clough, J., Polaczyk, A., Couvillion, B.R., and Nunley, B., 2013, Potential effects of sea-level rise on coastal wetlands in southeastern Louisiana: Journal of Coastal Research, p. 211-233, https://doi.org/10.2112/SI63-0017.1.","productDescription":"23 p.","startPage":"211","endPage":"233","numberOfPages":"23","ipdsId":"IP-035358","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-0017.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0768,28.9254 ], [ -92.0768,30.4599 ], [ -88.8162,30.4599 ], [ -88.8162,28.9254 ], [ -92.0768,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8597ee4b03f038c5c189c","contributors":{"authors":[{"text":"Glick, Patty","contributorId":47283,"corporation":false,"usgs":true,"family":"Glick","given":"Patty","affiliations":[],"preferred":false,"id":499120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clough, Jonathan","contributorId":86488,"corporation":false,"usgs":true,"family":"Clough","given":"Jonathan","affiliations":[],"preferred":false,"id":499122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Polaczyk, Amy","contributorId":51214,"corporation":false,"usgs":true,"family":"Polaczyk","given":"Amy","email":"","affiliations":[],"preferred":false,"id":499121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nunley, Brad","contributorId":96197,"corporation":false,"usgs":true,"family":"Nunley","given":"Brad","email":"","affiliations":[],"preferred":false,"id":499123,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046154,"text":"70046154 - 2013 - The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","interactions":[],"lastModifiedDate":"2022-03-24T15:22:05.982569","indexId":"70046154","displayToPublicDate":"2013-01-01T10:17:47","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Annual International Mine Water Association conference — Reliable mine water technology","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Reliable Mine Water Technology","conferenceLocation":"Golden, CO","language":"English","publisher":"International Mine Water Association","usgsCitation":"Walton-Day, K., Mills, T.J., Amundson, A., Dee, K.T., Relego, M.R., and Borbely, C., 2013, The water-quality effects of a bulkhead installed in the Dinero mine tunnel, near Leadville, Colorado, <i>in</i> Annual International Mine Water Association conference — Reliable mine water technology, v. II, Golden, CO, p. 1157-1164.","productDescription":"8 p.","startPage":"1157","endPage":"1164","ipdsId":"IP-045971","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":397465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":397464,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.imwa.info/imwaconferencesandcongresses/proceedings/278-proceedings-2013.html"}],"country":"United States","state":"Colorado","otherGeospatial":"Dinero Mine, Sugar Loaf Mining District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.226269374196264\n            ],\n            [\n              -106.37065887451172,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.268809522870185\n            ],\n            [\n              -106.41923904418944,\n              39.226269374196264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"II","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Brown, A.","contributorId":27825,"corporation":false,"usgs":true,"family":"Brown","given":"A.","affiliations":[],"preferred":false,"id":838657,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Figueroa, L.","contributorId":176780,"corporation":false,"usgs":false,"family":"Figueroa","given":"L.","affiliations":[],"preferred":false,"id":838658,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Wolkersdorfer, C.","contributorId":176947,"corporation":false,"usgs":false,"family":"Wolkersdorfer","given":"C.","affiliations":[],"preferred":false,"id":838659,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":838652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amundson, Adolph","contributorId":289187,"corporation":false,"usgs":false,"family":"Amundson","given":"Adolph","email":"","affiliations":[],"preferred":false,"id":838653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dee, Kato T.","contributorId":289188,"corporation":false,"usgs":false,"family":"Dee","given":"Kato","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":838654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Relego, Melissa R.","contributorId":289189,"corporation":false,"usgs":false,"family":"Relego","given":"Melissa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":838655,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Borbely, Caitlin","contributorId":289190,"corporation":false,"usgs":false,"family":"Borbely","given":"Caitlin","email":"","affiliations":[],"preferred":false,"id":838656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70048595,"text":"70048595 - 2013 - Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","interactions":[],"lastModifiedDate":"2014-06-20T14:14:19","indexId":"70048595","displayToPublicDate":"2013-01-01T10:16:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":272,"text":"National Park Service Natural Resource Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"NPS/PACN/NRTR—2013/740","title":"Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012","docAbstract":"<p>Haleakalā National Park (HALE) was surveyed for landbirds and habitat characteristics from March 20 through July 26, 2012. This information provides data in the time-series of landbird monitoring for long-term trends in forest bird distribution, density, and abundance. The Kīpahulu District of eastern Haleakalā Volcano was surveyed using point-transect distance sampling to estimate bird abundance. We surveyed 160 stations and detected a total of 2,830 birds from 12 species. Half of the species were native and half were non-native. Numbers of detections per species ranged from 1 to 849. There were sufficient detections of seven species to allow density estimation. Āpapane (<i>Himatione sanguinea</i>) was the most widely distributed and abundant native species detected in the survey. ‘Alauahio (<i>Paroreomyza montana newtoni</i>), Maui ‘Amakihi (<i>Hemignathus virens wilsoni</i>), and I‘iwi (<i>Vestiaria coccinea</i>) were widespread and occurred in relatively modest densities. Only eight Kiwikiu (<i>Pseudonestor xanthophrys</i>) and 20 ‘Ākohekohe (<i>Palmeria dolei</i>) were detected and were restricted to high elevation wet forest. We estimated an abundance of 495 ± 261individuals of Kiwikiu in a 2,036 ha inference area which likely includes the entire suitable habitat for this species in HALE. For ‘Ākohekohe, we estimated an abundance of 1,150 ± 389 individuals in the 1,458 ha inference area. There was a strong representation of non-native landbirds in the survey area. The Japanese White-eye (<i>Zosterops japonicus</i>), Japanese Bush-warbler (<i>Cettia diphone</i>), and Red-billed Leiothrix (<i>Leiothrix lutea</i>) accounted for nearly half of all landbird detections. Each species was common in predominantly native forests.</p>\n<br/>\n<p>Vegetation and topographic characteristics were recorded on 160 landbird monitoring stations. HALE canopy and understory composition was predominantly native, especially at elevations above 1,100 m. Much of the forest canopy was comprised of `ohi`a (<i>Metrosideros polymorpha</i>) interspersed with mature olapa (<i>Cheirodendron platyphyllum</i>). This canopy class occurred at 92.5% of the stations surveyed. More than three-quarters (77.5%) of the monitoring stations had a dense canopy with most crowns interlocking (> 60% cover). More than half (52%) of the stations surveyed had trees taller than 10 m, while almost a third (31%) had trees 5-10 m. Only 17% of the stations had a canopy shorter than 5 m. The native shrubs <i>Vaccinium calycinum</i>, <i>Broussaisia arguta</i>, and <i>Leptecophylla tameiameae</i> were the most common understory plants recorded, occurring at more than 30% of the stations sampled. Native mosses and ferns were also common at stations, occurring at more than 90% of the stations sampled. The invasive <i>Psidium cattleainum</i>, <i>Clidemia hirta</i>, and <i>Hedychium gardnerianum</i> occurred at approximately 14% of the stations sampled, predominantly at elevations below 1,100 m.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Judge, S.W., Camp, R., and Hart, P., 2013, Pacific Island landbird monitoring annual report, Haleakalā National Park, 2012: National Park Service Natural Resource Technical Report NPS/PACN/NRTR—2013/740, ix, 82 p.","productDescription":"ix, 82 p.","numberOfPages":"96","ipdsId":"IP-044651","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":279162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279174,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195246"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Haleakala National Park;Maui","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.275743,20.586349 ], [ -156.275743,20.795098 ], [ -156.020951,20.795098 ], [ -156.020951,20.586349 ], [ -156.275743,20.586349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"528c96b5e4b0c629af44ddd1","contributors":{"authors":[{"text":"Judge, Seth W.","contributorId":8718,"corporation":false,"usgs":true,"family":"Judge","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":485169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J.","contributorId":27392,"corporation":false,"usgs":true,"family":"Camp","given":"Richard J.","affiliations":[],"preferred":false,"id":485170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Patrick J.","contributorId":79750,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick J.","affiliations":[],"preferred":false,"id":485171,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146739,"text":"70146739 - 2013 - Carbon stocks of trees killed by bark beetles and wildfire in the western United States","interactions":[],"lastModifiedDate":"2018-01-12T16:42:00","indexId":"70146739","displayToPublicDate":"2013-01-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Carbon stocks of trees killed by bark beetles and wildfire in the western United States","docAbstract":"<p>Forests are major components of the carbon cycle, and disturbances are important influences of forest carbon. Our objective was to contribute to the understanding of forest carbon cycling by quantifying the amount of carbon in trees killed by two disturbance types, fires and bark beetles, in the western United States in recent decades. We combined existing spatial data sets of forest biomass, burn severity, and beetle-caused tree mortality to estimate the amount of aboveground and belowground carbon in killed trees across the region. We found that during 1984-2010, fires killed trees that contained 5-11 Tg C year<sup>-1</sup> and during 1997-2010, beetles killed trees that contained 2-24 Tg C year<sup>-1</sup>, with more trees killed since 2000 than in earlier periods. Over their periods of record, amounts of carbon in trees killed by fires and by beetle outbreaks were similar, and together these disturbances killed trees representing 9% of the total tree carbon in western forests, a similar amount to harvesting. Fires killed more trees in lower-elevation forest types such as Douglas-fir than higher-elevation forest types, whereas bark beetle outbreaks also killed trees in higher-elevation forest types such as lodgepole pine and Engelmann spruce. Over 15% of the carbon in lodgepole pine and spruce/fir forest types was in trees killed by beetle outbreaks; other forest types had 5-10% of the carbon in killed trees. Our results document the importance of these natural disturbances in the carbon budget of the western United States.</p>","language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London, England","doi":"10.1088/1748-9326/8/3/035032","usgsCitation":"Hicke, J.A., Meddens, A.J., Allen, C.D., and Kolden, C.A., 2013, Carbon stocks of trees killed by bark beetles and wildfire in the western United States: Environmental Research Letters, v. 8, no. 3, Article 035032; 8 p., https://doi.org/10.1088/1748-9326/8/3/035032.","productDescription":"Article 035032; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049507","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":474007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035032","text":"Publisher Index Page"},{"id":299807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.24414062499999,\n              48.40003249610685\n            ],\n            [\n              -124.365234375,\n              46.07323062540838\n            ],\n            [\n              -125.15625000000001,\n              42.74701217318067\n            ],\n            [\n              -124.98046874999999,\n              40.38002840251183\n            ],\n            [\n              -121.11328124999999,\n              34.23451236236984\n            ],\n            [\n              -117.94921874999999,\n              32.24997445586331\n            ],\n            [\n              -115.13671875,\n              32.62087018318113\n            ],\n            [\n              -111.181640625,\n              31.27855085894653\n            ],\n            [\n              -108.369140625,\n              31.203404950917395\n            ],\n            [\n              -108.28125,\n              31.87755764334002\n            ],\n            [\n              -106.787109375,\n              31.80289258670676\n            ],\n            [\n              -103.095703125,\n              28.459033019728043\n            ],\n            [\n              -102.041015625,\n              29.6880527498568\n            ],\n            [\n              -102.3046875,\n              49.03786794532644\n            ],\n            [\n              -123.134765625,\n              49.03786794532644\n            ],\n            [\n              -125.24414062499999,\n              48.40003249610685\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-29","publicationStatus":"PW","scienceBaseUri":"553774a8e4b0b22a15808509","contributors":{"authors":[{"text":"Hicke, Jeffrey A.","contributorId":87832,"corporation":false,"usgs":true,"family":"Hicke","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":545351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meddens, Arjan J.H.","contributorId":140349,"corporation":false,"usgs":false,"family":"Meddens","given":"Arjan","email":"","middleInitial":"J.H.","affiliations":[{"id":13466,"text":"Univ. of Idaho","active":true,"usgs":false}],"preferred":false,"id":545352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":545350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolden, Crystal A.","contributorId":98610,"corporation":false,"usgs":true,"family":"Kolden","given":"Crystal","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":545353,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70139358,"text":"70139358 - 2013 - Confronting dynamics and uncertainty in optimal decision making for conservation","interactions":[],"lastModifiedDate":"2015-01-27T09:17:30","indexId":"70139358","displayToPublicDate":"2013-01-01T10:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Confronting dynamics and uncertainty in optimal decision making for conservation","docAbstract":"<p>The effectiveness of conservation efforts ultimately depends on the recognition that decision making, and the systems that it is designed to affect, are inherently dynamic and characterized by multiple sources of uncertainty. To cope with these challenges, conservation planners are increasingly turning to the tools of decision analysis, especially dynamic optimization methods. Here we provide a general framework for optimal, dynamic conservation and then explore its capacity for coping with various sources and degrees of uncertainty. In broadest terms, the dynamic optimization problem in conservation is choosing among a set of decision options at periodic intervals so as to maximize some conservation objective over the planning horizon. Planners must account for immediate objective returns, as well as the effect of current decisions on future resource conditions and, thus, on future decisions. Undermining the effectiveness of such a planning process are uncertainties concerning extant resource conditions (partial observability), the immediate consequences of decision choices (partial controllability), the outcomes of uncontrolled, environmental drivers (environmental variation), and the processes structuring resource dynamics (structural uncertainty). Where outcomes from these sources of uncertainty can be described in terms of probability distributions, a focus on maximizing the expected objective return, while taking state-specific actions, is an effective mechanism for coping with uncertainty. When such probability distributions are unavailable or deemed unreliable, a focus on maximizing robustness is likely to be the preferred approach. Here the idea is to choose an action (or state-dependent policy) that achieves at least some minimum level of performance regardless of the (uncertain) outcomes. We provide some examples of how the dynamic optimization problem can be framed for problems involving management of habitat for an imperiled species, conservation of a critically endangered population through captive breeding, control of invasive species, construction of biodiversity reserves, design of landscapes to increase habitat connectivity, and resource exploitation. Although these decision making problems and their solutions present significant challenges, we suggest that a systematic and effective approach to dynamic decision making in conservation need not be an onerous undertaking. The requirements are shared with any systematic approach to decision making--a careful consideration of values, actions, and outcomes.</p>","language":"English","publisher":"Institute of Physics","publisherLocation":"Bristol, UK","doi":"10.1088/1748-9326/8/2/025004","usgsCitation":"Williams, B.K., and Johnson, F.A., 2013, Confronting dynamics and uncertainty in optimal decision making for conservation: Environmental Research Letters, v. 8, no. 2, p. 1-16, https://doi.org/10.1088/1748-9326/8/2/025004.","productDescription":"16 p.","startPage":"1","endPage":"16","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051506","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474008,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/2/025004","text":"Publisher Index Page"},{"id":297567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297566,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iopscience.iop.org/1748-9326/8/2/025004"}],"volume":"8","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-11","publicationStatus":"PW","scienceBaseUri":"54dd2b68e4b08de9379b336a","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":86616,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":539333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":539323,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099630,"text":"70099630 - 2013 - Geologic framework and petroleum systems of Cook Inlet basin, south-central Alaska","interactions":[],"lastModifiedDate":"2023-06-05T16:14:46.699697","indexId":"70099630","displayToPublicDate":"2013-01-01T10:02:27","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geologic framework and petroleum systems of Cook Inlet basin, south-central Alaska","docAbstract":"<p>This report provides a comprehensive overview of the stratigraphy, structure, tectonics, and petroleum systems of the Cook Inlet basin, an important oil- and gas-producing region in south-central Alaska.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oil and cas fields of the Cook Inlet Basin, Alaska: AAPG memoir 104","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"American Association of Petroleum Geologists","publisherLocation":"Tulsa, OK","usgsCitation":"LePain, D., Stanley, R.G., Helmold, K., and Shellenbaum, D., 2013, Geologic framework and petroleum systems of Cook Inlet basin, south-central Alaska, chap. <i>of</i> Oil and cas fields of the Cook Inlet Basin, Alaska: AAPG memoir 104, v. 104, 80 p.","productDescription":"80 p.","numberOfPages":"80","ipdsId":"IP-043335","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":289419,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Cook Inlet Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.2345,58.1972 ], [ -155.2345,59.6709 ], [ -151.1366,59.6709 ], [ -151.1366,58.1972 ], [ -155.2345,58.1972 ] ] ] } } ] }","volume":"104","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b76e4b014fc094d5467","contributors":{"editors":[{"text":"Stone, D.M.","contributorId":114025,"corporation":false,"usgs":true,"family":"Stone","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":509832,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hite, D.M.","contributorId":113026,"corporation":false,"usgs":true,"family":"Hite","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":509831,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"LePain, D. L.","contributorId":104803,"corporation":false,"usgs":true,"family":"LePain","given":"D. L.","affiliations":[],"preferred":false,"id":491993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmold, K. P.","contributorId":67796,"corporation":false,"usgs":true,"family":"Helmold","given":"K. P.","affiliations":[],"preferred":false,"id":491991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shellenbaum, D.P.","contributorId":39294,"corporation":false,"usgs":true,"family":"Shellenbaum","given":"D.P.","affiliations":[],"preferred":false,"id":491990,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70113284,"text":"70113284 - 2013 - SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2018-02-06T12:25:58","indexId":"70113284","displayToPublicDate":"2013-01-01T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin","docAbstract":"Nitrogen (N) and phosphorus (P) loading from the Mississippi/Atchafalaya River Basin (MARB) has been linked to hypoxia in the Gulf of Mexico. To describe where and from what sources those loads originate, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were constructed for the MARB using geospatial datasets for 2002, including inputs from wastewater treatment plants (WWTPs), and calibration sites throughout the MARB. Previous studies found that highest N and P yields were from the north-central part of the MARB (Corn Belt). Based on the MARB SPARROW models, highest N yields were still from the Corn Belt but centered over Iowa and Indiana, and highest P yields were widely distributed throughout the center of the MARB. Similar to that found in other studies, agricultural inputs were found to be the largest N and P sources throughout most of the MARB: farm fertilizers were the largest N source, whereas farm fertilizers, manure, and urban inputs were dominant P sources. The MARB models enable individual N and P sources to be defined at scales ranging from SPARROW catchments (∼50 km<sup>2</sup>) to the entire area of the MARB. Inputs of P from WWTPs and urban areas were more important than found in most other studies. Information from this study will help to reduce nutrient loading from the MARB by providing managers with a description of where each of the sources of N and P are most important, thus providing a basis for prioritizing management actions and ultimately reducing the extent of Gulf hypoxia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Environmental Quality","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Society of Agronomy","doi":"10.2134/jeq2013.02.0066","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, SPARROW models used to understand nutrient sources in the Mississippi/Atchafalaya River Basin: Journal of Environmental Quality, v. 42, no. 5, p. 1422-1440, https://doi.org/10.2134/jeq2013.02.0066.","productDescription":"19 p.","startPage":"1422","endPage":"1440","numberOfPages":"19","ipdsId":"IP-043684","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2013.02.0066","text":"Publisher Index Page"},{"id":288956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288911,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2134/jeq2013.02.0066"}],"country":"United States","otherGeospatial":"Mississippi/atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.05,29.63 ], [ -116.05,49.0 ], [ -76.27,49.0 ], [ -76.27,29.63 ], [ -116.05,29.63 ] ] ] } } ] }","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-01","publicationStatus":"PW","scienceBaseUri":"53ae7818e4b0abf75cf2c9cc","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495041,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118037,"text":"70118037 - 2013 - Carbon routing in the polar bear: insights from the lipid and protein pathways","interactions":[],"lastModifiedDate":"2018-04-03T16:17:37","indexId":"70118037","displayToPublicDate":"2013-01-01T09:54:58","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":18,"text":"Abstract or summary"},"title":"Carbon routing in the polar bear: insights from the lipid and protein pathways","docAbstract":"No abstract available.","language":"English","publisher":"Colorado State University","publisherLocation":"Fort Collins, CO","usgsCitation":"Striker, C., Rode, K.D., Erlenbach, J., and Robbins, C., 2013, Carbon routing in the polar bear: insights from the lipid and protein pathways.","costCenters":[],"links":[{"id":290977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a42","contributors":{"authors":[{"text":"Striker, C.A.","contributorId":49713,"corporation":false,"usgs":true,"family":"Striker","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":496160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":496159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erlenbach, J.","contributorId":88274,"corporation":false,"usgs":true,"family":"Erlenbach","given":"J.","affiliations":[],"preferred":false,"id":496162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, C.T.","contributorId":58444,"corporation":false,"usgs":true,"family":"Robbins","given":"C.T.","affiliations":[],"preferred":false,"id":496161,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70114667,"text":"70114667 - 2013 - The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","interactions":[],"lastModifiedDate":"2014-07-03T09:55:45","indexId":"70114667","displayToPublicDate":"2013-01-01T09:52:42","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site","docAbstract":"<p>The INL Site and other landscapes having sagebrush steppe vegetation are experiencing a simultaneous change in climate and floristics that result from increases in exotic species. Determining the separate and combined/interactive effects of climate and vegetation change is important for assessing future changes on the landscape and for hydrologic processes.</p>\n<br/>\n<p>This research uses the 72 experimental plots established and initially maintained for many years as the “Protective Cap Biobarrier Experiment” by Dr. Jay Anderson and the Stoller ESER program, and the experiment is also now referred to as the “INL Site Ecohydrology Study.” We are evaluating long-term impacts of different plant communities commonly found throughout Idaho subject to different precipitation regimes and to different soil depths. Treatments of amount and timing of precipitation (irrigation), soil depth, and either native/perennial or exotic grass vegetation allow researchers to investigate how vegetation, precipitation and soil interact to influence soil hydrology and ecosystem biogeochemistry. This information will be used to improve a variety of models, as well as provide data for these models.</p>","language":"English","publisher":"National Laboratory Site Enviromental Surveillance, Education, and Research Program","publisherLocation":"Broomfield, CO","usgsCitation":"Germino, M., 2013, The influence of precipitation, vegetation and soil properties on the ecohydrology of sagebrush steppe rangelands on the INL site, 1 p.","productDescription":"1 p.","numberOfPages":"1","ipdsId":"IP-053875","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":289094,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsseser.com/LandManagement/ecohydrology2012.html"},{"id":289416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b67b84e4b014fc094d5477","contributors":{"authors":[{"text":"Germino, Matthew J.","contributorId":50029,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[],"preferred":false,"id":495400,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70125649,"text":"70125649 - 2013 - Variable intertidal temperature explains why disease endangers black abalone","interactions":[],"lastModifiedDate":"2014-09-18T09:54:26","indexId":"70125649","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variable intertidal temperature explains why disease endangers black abalone","docAbstract":"Epidemiological theory suggests that pathogens will not cause host extinctions because agents of disease should fade out when the host population is driven below a threshold density. Nevertheless, infectious diseases have threatened species with extinction on local scales by maintaining high incidence and the ability to spread efficiently even as host populations decline. Intertidal black abalone (Haliotis cracherodii), but not other abalone species, went extinct locally throughout much of southern California following the emergence of a Rickettsiales-like pathogen in the mid-1980s. The rickettsial disease, a condition known as withering syndrome (WS), and associated mortality occur at elevated water temperatures. We measured abalone body temperatures in the field and experimentally manipulated intertidal environmental conditions in the laboratory, testing the influence of mean temperature and daily temperature variability on key epizootiological processes of WS. Daily temperature variability increased the susceptibility of black abalone to infection, but disease expression occurred only at warm water temperatures and was independent of temperature variability. These results imply that high thermal variation of the marine intertidal zone allows the pathogen to readily infect black abalone, but infected individuals remain asymptomatic until water temperatures periodically exceed thresholds modulating WS. Mass mortalities can therefore occur before pathogen transmission is limited by density-dependent factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/11-2257.1","usgsCitation":"Ben-Horin, T., Lenihan, H.S., and Lafferty, K.D., 2013, Variable intertidal temperature explains why disease endangers black abalone: Ecology, v. 94, no. 1, p. 161-168, https://doi.org/10.1890/11-2257.1.","productDescription":"8 p.","startPage":"161","endPage":"168","numberOfPages":"8","ipdsId":"IP-038449","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294035,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-2257.1"}],"volume":"94","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"541bf463e4b0e96537ddf91f","contributors":{"authors":[{"text":"Ben-Horin, Tal","contributorId":58137,"corporation":false,"usgs":false,"family":"Ben-Horin","given":"Tal","email":"","affiliations":[],"preferred":false,"id":501538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lenihan, Hunter S.","contributorId":94227,"corporation":false,"usgs":true,"family":"Lenihan","given":"Hunter","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":501539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70125273,"text":"70125273 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","interactions":[],"lastModifiedDate":"2014-09-25T09:56:39","indexId":"70125273","displayToPublicDate":"2013-01-01T09:52:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NRR--2013/665.22","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change","docAbstract":"<p>Climate is a master controller of the structure, composition, and function of biotic communities, \naffecting them both directly, through physiological effects, and indirectly, by mediating biotic \ninteractions and by influencing disturbance regimes. Sequoia and Kings Canyon National Park’s \n(SEKI’s) dramatic elevational changes in biotic communities -- from warm mediterranean to \ncold alpine -- are but one manifestation of climate’s overarching importance in shaping SEKI’s \nlandscape. </p>\n<br>\n<p>Yet humans are now altering the global climate, with measurable effects on ecosystems (IPCC \n2007). Over the last few decades across the western United States, human-induced climatic \nchanges have likely contributed to observed declines in fraction of precipitation falling as snow \nand snowpack water content (Mote et al. 2005, Knowles et al. 2006), advance in spring \nsnowmelt (Stewart et al. 2005, Barnett et al. 2008), and consequent increase in area burned in \nwildfires (Westerling et al. 2006). In the Sierra Nevada, warming temperatures have likely \ncontributed to observed glacial recession (Basagic 2008), uphill migration of small mammals \n(Moritz et al. 2008), and increasing tree mortality rates (van Mantgem and Stephenson 2007, van \nMantgem et al. 2009). More substantial changes can be expected for the future (e.g., IPCC \n2007).</p>\n<br>\n<p>Given the central importance of climate and climatic changes, we sought to describe long-term \ntrends in temperature and precipitation at SEKI. Time and budget constraints limited us to \nanalyses of mean annual temperature and mean annual precipitation, using readily-available data. \nIf funds become available in the future, further analyses will be needed to analyze trends by \nseason, trends in daily minimum and maximum temperatures, and so on.</p>\n<br>\n<p>We chose to analyze data from individual weather stations rather than use interpolated climatic \ndata from sources such as PRISM (http://www.prism.oregonstate.edu/). In topographically \ncomplex mountainous regions with few weather stations, like SEKI, the addition or subtraction \nof even a single weather station through time has the potential to significantly bias trends in \ninterpolated data. In particular, this analysis was motivated by our questioning of some PRISM \nresults presented in Appendix 1 (Landscape Context) that compared temperature averages \nbetween two 30-year periods of the 20th Century. Figures 6 and 11 of Appendix 1 indicate that \nrecent (1971-2000) temperatures in northern Kings Canyon National Park averaged some 2° C \ncooler than those of 1911-1940. This would represent a truly profound and persistent cooling, \nand seems to be at odds both with the glacial retreats observed in the area over the century \n(Basagic 2008), and with the reported PRISM warming of nearly 2° C just to the west of the \ncooling (see Figs. 6 and 11 in Appendix 1). We suspect that the extreme localized Kings Canyon \ncooling reported by PRISM is an artifact of sparsely-distributed weather stations in the region \nbeing added and discontinued over the span of the 20th Century. For example, data from the \nWestern Regional Climate Center (http://www.wrcc.dri.edu/coopmap/) suggest that for the \nperiod 1911 through 1924 PRISM must interpolate northern Kings Canyon temperatures based \non a few low-elevation stations -- separated by hundreds of kilometers -- in Nevada and \nCalifornia’s San Joaquin Valley. In contrast, by 1970 PRISM interpolations will be dominated \nby closer, higher-elevation stations (see this report). The single weather station closest to \nnorthern Kings Canyon that has a temperature record at least partly spanning Appendix 1’s two\n30-year time periods -- the Independence station, with a relatively continuous temperature record \nstarting in 1925 -- shows a modest warming, not a cooling, between 1925-1940 and 1971-2000, \nfurther casting doubt on the Kings Canyon cooling shown in Figs. 6 and 11 of Appendix 1. If \nfunds become available, it will be useful to more formally analyze potential PRISM biases in \nlong-term SEKI climatic trends. Until then, the analyses of individual weather station records \npresented here (effectively an analysis of source data that PRISM uses) are meant to provide a \nrobust summary of climatic changes in SEKI.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Das, A., and Stephenson, N.L., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 22: climatic change: Natural Resource Report NPS/SEKI/NRR--2013/665.22, v, 28 p.","productDescription":"v, 28 p.","numberOfPages":"36","ipdsId":"IP-039290","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294466,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195963"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e99e4b0e641df8a6e1c","contributors":{"authors":[{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501081,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121475,"text":"70121475 - 2013 - Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","interactions":[],"lastModifiedDate":"2019-07-01T11:46:55","indexId":"70121475","displayToPublicDate":"2013-01-01T09:51:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices","docAbstract":"<p><span>Normalized Difference Vegetation Index (NDVI) derived from MODerate-resolution Imaging Spectroradiometer (MODIS) satellite imagery and land/water assessments from Landsat Thematic Mapper (TM) imagery were used to quantify the extent and severity of damage and subsequent recovery after Hurricanes Katrina and Rita of 2005 within the vegetation communities of Louisiana's coastal wetlands. Field data on species composition and total live cover were collected from 232 unique plots during multiple time periods to corroborate changes in NDVI values over time. Aprehurricane 5-year baseline time series clearly identified NDVI values by habitat type, suggesting the sensitivity of NDVI to assess and monitor phenological changes in coastal wetland habitats. Monthly data from March 2005 to November 2006 were compared to the baseline average to create a departure from average statistic. Departures suggest that over 33% (4,714 km</span><sup>2</sup><span>) of the prestorm, coastal wetlands experienced a substantial decline in the density and vigor of vegetation by October 2005 (poststorm), mostly in the east and west regions, where landfalls of Hurricanes Katrina and Rita occurred. The percentage of area of persistent vegetation damage due to long-lasting formation of new open water was 91.8% in the east and 81.0% and 29.0% in the central and west regions, respectively. Although below average NDVI values were observed in most marsh communities through November 2006, recovery of vegetation was evident. Results indicated that impacts and recovery from large episodic disturbance events that influence multiple habitat types can be accurately determined using NDVI, especially when integrated with assessments of physical landscape changes and field verifications.</span></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-011.1","usgsCitation":"Steyer, G.D., Couvillion, B.R., and Barras, J., 2013, Monitoring vegetation response to episodic disturbance events by using multitemporal vegetation indices: Journal of Coastal Research, no. 63, p. 118-130, https://doi.org/10.2112/SI63-011.1.","productDescription":"13 p.","startPage":"118","endPage":"130","numberOfPages":"13","ipdsId":"IP-035355","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.5829 ], [ -88.8162,30.5829 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","issue":"63","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85975e4b03f038c5c1872","contributors":{"authors":[{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":499102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couvillion, Brady R. 0000-0001-5323-1687 couvillionb@usgs.gov","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":3829,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","email":"couvillionb@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barras, John A. jbarras@usgs.gov","contributorId":2425,"corporation":false,"usgs":true,"family":"Barras","given":"John A.","email":"jbarras@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":499103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70113269,"text":"70113269 - 2013 - Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","interactions":[],"lastModifiedDate":"2018-02-06T12:26:08","indexId":"70113269","displayToPublicDate":"2013-01-01T09:50:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia","docAbstract":"No abstract available.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12060","usgsCitation":"Robertson, D.M., and Saad, D.A., 2013, Reply to discussion: \"Nutrient inputs to the Laurentian Great Lakes by source and watershed estimated using SPARROW watershed models\" by R. Peter Richards, Ibrahim Alameddine, J. David Allan, David B. Baker, Nathan S. Bosch, Remegio Confesor, Joseph V. DePinto, David M. Dolan, Jeffrey M. Reutter, and Donald Scavia: Journal of the American Water Resources Association, v. 49, no. 3, p. 725-734, https://doi.org/10.1111/jawr.12060.","productDescription":"10 p.","startPage":"725","endPage":"734","numberOfPages":"10","ipdsId":"IP-043685","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":288908,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12060"},{"id":288954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-13","publicationStatus":"PW","scienceBaseUri":"53ae7813e4b0abf75cf2c913","chorus":{"doi":"10.1111/jawr.12060","url":"http://dx.doi.org/10.1111/jawr.12060","publisher":"Wiley-Blackwell","authors":"Robertson Dale M., Saad David A.","journalName":"JAWRA Journal of the American Water Resources Association","publicationDate":"5/13/2013","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saad, David A. dasaad@usgs.gov","contributorId":121,"corporation":false,"usgs":true,"family":"Saad","given":"David","email":"dasaad@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495034,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102297,"text":"70102297 - 2013 - Strong species-environment feedback shapes plant community assembly along environmental gradients","interactions":[],"lastModifiedDate":"2014-04-22T09:57:32","indexId":"70102297","displayToPublicDate":"2013-01-01T09:49:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Strong species-environment feedback shapes plant community assembly along environmental gradients","docAbstract":"An aim of community ecology is to understand the patterns of competing species assembly along environmental gradients. All species interact with their environments. However, theories of community assembly have seldom taken into account the effects of species that are able to engineer the environment. In this modeling study, we integrate the species' engineering trait together with processes of immigration and local dispersal into a theory of community assembly. We quantify the species' engineering trait as the degree to which it can move the local environment away from its baseline state towards the optimum state of the species (species-environment feedback). We find that, in the presence of immigration from a regional pool, strong feedback can increase local species richness; however, in the absence of continual immigration, species richness is a declining function of the strength of species-environment feedback. This shift from a negative effect of engineering strength on species richness to a positive effect, as immigration rate increases, is clearer when there is spatial heterogeneity in the form of a gradient in environmental conditions than when the environment is homogeneous or it is randomly heterogeneous. Increasing the scale over which local dispersal occurs can facilitate species richness when there is no species-environment feedback or when the feedback is weak. However, increases in the spatial scale of dispersal can reduce species richness when the species-environment feedback is strong. These results expand the theoretical basis for understanding the effects of the strength of species-environment feedback on community assembly.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecology and Evolution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/ece3.784","usgsCitation":"Jiang, J., and DeAngelis, D., 2013, Strong species-environment feedback shapes plant community assembly along environmental gradients: Ecology and Evolution, v. 3, no. 12, p. 4119-4128, https://doi.org/10.1002/ece3.784.","productDescription":"10 p.","startPage":"4119","endPage":"4128","ipdsId":"IP-044975","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":474010,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.784","text":"Publisher Index Page"},{"id":286485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286482,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/ece3.784"}],"volume":"3","issue":"12","noUsgsAuthors":false,"publicationDate":"2013-09-20","publicationStatus":"PW","scienceBaseUri":"53578f71e4b0938066bc81f5","contributors":{"authors":[{"text":"Jiang, Jiang","contributorId":46838,"corporation":false,"usgs":true,"family":"Jiang","given":"Jiang","affiliations":[],"preferred":false,"id":492916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":88015,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","affiliations":[],"preferred":false,"id":492917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70121472,"text":"70121472 - 2013 - Economic vulnerability to sea-level rise along the northern U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2017-01-12T11:43:23","indexId":"70121472","displayToPublicDate":"2013-01-01T09:47:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Economic vulnerability to sea-level rise along the northern U.S. Gulf Coast","docAbstract":"<p>The northern Gulf of Mexico coast of the United States has been identified as highly vulnerable to sea-level rise, based on a combination of physical and societal factors. Vulnerability of human populations and infrastructure to projected increases in sea level is a critical area of uncertainty for communities in the extremely low-lying and flat northern gulf coastal zone. A rapidly growing population along some parts of the northern Gulf of Mexico coastline is further increasing the potential societal and economic impacts of projected sea-level rise in the region, where observed relative rise rates range from 0.75 to 9.95 mm per year on the Gulf coasts of Texas, Louisiana, Mississippi, Alabama, and Florida. A 1-m elevation threshold was chosen as an inclusive designation of the coastal zone vulnerable to relative sea-level rise, because of uncertainty associated with sea-level rise projections. This study applies a Coastal Economic Vulnerability Index (CEVI) to the northern Gulf of Mexico region, which includes both physical and economic factors that contribute to societal risk of impacts from rising sea level. The economic variables incorporated in the CEVI include human population, urban land cover, economic value of key types of infrastructure, and residential and commercial building values. The variables are standardized and combined to produce a quantitative index value for each 1-km coastal segment, highlighting areas where human populations and the built environment are most at risk. This information can be used by coastal managers as they allocate limited resources for ecosystem restoration, beach nourishment, and coastal-protection infrastructure. The study indicates a large amount of variability in index values along the northern Gulf of Mexico coastline, and highlights areas where long-term planning to enhance resiliency is particularly needed.</p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-017.1","usgsCitation":"Thatcher, C., Brock, J., and Pendleton, E., 2013, Economic vulnerability to sea-level rise along the northern U.S. Gulf Coast: Journal of Coastal Research, v. Spring 2013, p. 234-243, https://doi.org/10.2112/SI63-017.1.","productDescription":"10 p.","startPage":"234","endPage":"243","numberOfPages":"10","ipdsId":"IP-035352","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama;Florida;Louisiana;Mississippi;Texas","otherGeospatial":"Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.3617,28.9254 ], [ -95.3617,30.9039 ], [ -84.3887,30.9039 ], [ -84.3887,28.9254 ], [ -95.3617,28.9254 ] ] ] } } ] }","volume":"Spring 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f85956e4b03f038c5c17ea","contributors":{"authors":[{"text":"Thatcher, Cindy A.","contributorId":79604,"corporation":false,"usgs":true,"family":"Thatcher","given":"Cindy A.","affiliations":[],"preferred":false,"id":499095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":499094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Elizabeth A.","contributorId":101312,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":499096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70118254,"text":"70118254 - 2013 - Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges","interactions":[],"lastModifiedDate":"2017-11-02T15:38:33","indexId":"70118254","displayToPublicDate":"2013-01-01T09:46:51","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges","docAbstract":"The vast amount of organic carbon (OC) stored in soils of the northern circumpolar permafrost region is a potentially vulnerable component of the global carbon cycle. However, estimates of the quantity, decomposability, and combustibility of OC contained in permafrost-region soils remain highly uncertain, thereby limiting our ability to predict the release of greenhouse gases due to permafrost thawing. Substantial differences exist between empirical and modeling estimates of the quantity and distribution of permafrost-region soil OC, which contribute to large uncertainties in predictions of carbon–climate feedbacks under future warming. Here, we identify research challenges that constrain current assessments of the distribution and potential decomposability of soil OC stocks in the northern permafrost region and suggest priorities for future empirical and modeling studies to address these challenges.","language":"English","publisher":"Institute of Physics Publishing","doi":"10.1088/1748-9326/8/3/035020","usgsCitation":"Mishra, U., Jastrow, J., Matamala, R., Hugelius, G., Koven, C., Harden, J.W., Ping, S., Michaelson, G., Fan, Z., Miller, R., McGuire, A., Tarnocai, C., Kuhry, P., Riley, W., Schaefer, K., Schuur, E., Jorgenson, M., and Hinzman, L., 2013, Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges: Environmental Research Letters, v. 8, no. 3, 9 p., https://doi.org/10.1088/1748-9326/8/3/035020.","productDescription":"9 p.","numberOfPages":"10","ipdsId":"IP-049150","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035020","text":"Publisher Index Page"},{"id":291103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/3/035020"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-07-18","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a44","contributors":{"authors":[{"text":"Mishra, U.","contributorId":99906,"corporation":false,"usgs":true,"family":"Mishra","given":"U.","email":"","affiliations":[],"preferred":false,"id":496601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jastrow, J.D.","contributorId":89730,"corporation":false,"usgs":true,"family":"Jastrow","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":496598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matamala, R.","contributorId":106417,"corporation":false,"usgs":true,"family":"Matamala","given":"R.","affiliations":[],"preferred":false,"id":496602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hugelius, G.","contributorId":27338,"corporation":false,"usgs":true,"family":"Hugelius","given":"G.","affiliations":[],"preferred":false,"id":496589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koven, C.D.","contributorId":34017,"corporation":false,"usgs":true,"family":"Koven","given":"C.D.","affiliations":[],"preferred":false,"id":496592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harden, Jennifer W. 0000-0002-6570-8259 jharden@usgs.gov","orcid":"https://orcid.org/0000-0002-6570-8259","contributorId":1971,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","email":"jharden@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":496593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ping, S.L.","contributorId":13161,"corporation":false,"usgs":true,"family":"Ping","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":496586,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michaelson, G.J.","contributorId":94985,"corporation":false,"usgs":true,"family":"Michaelson","given":"G.J.","affiliations":[],"preferred":false,"id":496600,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fan, Z.","contributorId":31211,"corporation":false,"usgs":true,"family":"Fan","given":"Z.","email":"","affiliations":[],"preferred":false,"id":496591,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, R.M.","contributorId":30555,"corporation":false,"usgs":true,"family":"Miller","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":496590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGuire, A. D.","contributorId":16552,"corporation":false,"usgs":true,"family":"McGuire","given":"A. D.","affiliations":[],"preferred":false,"id":496587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tarnocai, C.","contributorId":67391,"corporation":false,"usgs":true,"family":"Tarnocai","given":"C.","affiliations":[],"preferred":false,"id":496596,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kuhry, P.","contributorId":57277,"corporation":false,"usgs":false,"family":"Kuhry","given":"P.","affiliations":[],"preferred":false,"id":496594,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Riley, W.J.","contributorId":76618,"corporation":false,"usgs":true,"family":"Riley","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":496597,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Schaefer, K.","contributorId":64127,"corporation":false,"usgs":true,"family":"Schaefer","given":"K.","email":"","affiliations":[],"preferred":false,"id":496595,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schuur, E.A.G.","contributorId":106679,"corporation":false,"usgs":true,"family":"Schuur","given":"E.A.G.","affiliations":[],"preferred":false,"id":496603,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Jorgenson, M.T.","contributorId":26889,"corporation":false,"usgs":true,"family":"Jorgenson","given":"M.T.","affiliations":[],"preferred":false,"id":496588,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hinzman, L. D.","contributorId":90083,"corporation":false,"usgs":false,"family":"Hinzman","given":"L. D.","affiliations":[],"preferred":false,"id":496599,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70138950,"text":"70138950 - 2013 - The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data","interactions":[],"lastModifiedDate":"2015-01-26T09:31:15","indexId":"70138950","displayToPublicDate":"2013-01-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data","docAbstract":"<p>The movement of animals is strongly influenced by external factors in their surrounding environment such as weather, habitat types, and human land use. With advances in positioning and sensor technologies, it is now possible to capture animal locations at high spatial and temporal granularities. Likewise, scientists have an increasing access to large volumes of environmental data. Environmental data are heterogeneous in source and format, and are usually obtained at different spatiotemporal scales than movement data. Indeed, there remain scientific and technical challenges in developing linkages between the growing collections of animal movement data and the large repositories of heterogeneous remote sensing observations, as well as in the developments of new statistical and computational methods for the analysis of movement in its environmental context. These challenges include retrieval, indexing, efficient storage, data integration, and analytical techniques.</p>","language":"English","publisher":"Minerva Center for Movement Ecology","publisherLocation":"London","doi":"10.1186/2051-3933-1-3","usgsCitation":"Dodge, S., Bohrer, G., Weinzierl, R.P., Davidson, S.C., Kays, R., Douglas, D.C., Cruz, S., Han, J., Brandes, D., and Wikelski, M., 2013, The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data: Movement Ecology, v. 1, no. 3, p. 1-14, https://doi.org/10.1186/2051-3933-1-3.","productDescription":"14 p.","startPage":"1","endPage":"14","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044477","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":474012,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2051-3933-1-3","text":"Publisher Index Page"},{"id":297505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297497,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1186/2051-3933-1-3"}],"volume":"1","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2013-07-03","publicationStatus":"PW","scienceBaseUri":"54dd2c6ce4b08de9379b37d2","contributors":{"authors":[{"text":"Dodge, Somayeh","contributorId":138916,"corporation":false,"usgs":false,"family":"Dodge","given":"Somayeh","email":"","affiliations":[],"preferred":false,"id":539210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohrer, Gil","contributorId":66569,"corporation":false,"usgs":true,"family":"Bohrer","given":"Gil","affiliations":[],"preferred":false,"id":539211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weinzierl, Rolf P.","contributorId":74687,"corporation":false,"usgs":true,"family":"Weinzierl","given":"Rolf","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":539212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davidson, Sarah C.","contributorId":31651,"corporation":false,"usgs":true,"family":"Davidson","given":"Sarah","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":539213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":539214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":539215,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cruz, Sebastian","contributorId":26987,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","affiliations":[],"preferred":false,"id":539216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Han, J.","contributorId":52442,"corporation":false,"usgs":true,"family":"Han","given":"J.","affiliations":[],"preferred":false,"id":539217,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brandes, David","contributorId":138917,"corporation":false,"usgs":false,"family":"Brandes","given":"David","email":"","affiliations":[{"id":35653,"text":"Lafayette College, Easton, PA","active":true,"usgs":false}],"preferred":false,"id":539218,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wikelski, Martin","contributorId":76451,"corporation":false,"usgs":true,"family":"Wikelski","given":"Martin","affiliations":[],"preferred":false,"id":539219,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70125275,"text":"70125275 - 2013 - A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 11a: giant sequoias","interactions":[],"lastModifiedDate":"2014-09-25T09:58:16","indexId":"70125275","displayToPublicDate":"2013-01-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SEKI/NR--2013/665.11a","title":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 11a: giant sequoias","docAbstract":"<p>For natural resource managers in the southern Sierra Nevada, giant sequoia requires very little \nintroduction. It receives great attention as an icon of western forests and as a common namesake \nwith the areas where it occurs. While it is a single component of a very complex system, its \nattention in this assessment and in general is well deserved. Giant sequoia is one of the few \n\"destination species\" that attracts a wide swath of the public by nature of it simply being present. \nIt draws people, who otherwise may not travel, to a natural environment. The result is an \nexpansion of the public’s sense of natural resource stewardship. Because park managers could \nnot achieve their mission without public support, this fostering role of giant sequoia is critical for \npark natural resources and is important for natural resources in general.</p>\n<br>\n<p>Despite its social relevance and physical size, we re-emphasize here that the giant sequoia \nresource is a relatively small component of the ecosystems of the southern Sierra Nevada. As is \nthe case with all of the resources assessed in the NRCA, we focus on giant sequoia with the \nunderstanding that other resources will be considered simultaneously when evaluating \nmanagement decisions that impact giant sequoia. While we attempt to explicitly address the \ninteraction of giant sequoia with other resources and stressors, we also realize that ultimately \nmanagers will integrate much more information than is presented here when making decisions \nthat influence giant sequoia. </p>\n<br>\n<p>The autecology and management issues surrounding giant sequoia have been thoroughly \nreviewed elsewhere (Harvey et al. 1980, Aune 1994, Stephenson 1996). Stephenson (1996), in \nparticular, should be reviewed when considering any management decisions that potentially \nimpact giant sequoia. For those who may not be familiar with giant sequoia ecology, a summary \nof basic information is provided in a table below. In some parts of this assessment, we reproduce \ntext from Stephenson’s review because it is still relatively current for addressing some of the\nstressors. Numerous recent studies reported since 1996 have confirmed and expanded the \nunderstanding of giant sequoia, especially in areas related to ecophysiology and the effectiveness\nof restoration treatments. These recent studies are integrated into this assessment. Additionally, \nmuch unpublished work has been done that is useful for establishing baselines and evaluating \ntrends. This work is presented in detail in order to expand upon previous work and to inform the \nfinal assessments. Instead of providing an introductory description of giant sequoia distribution \nand the various landowners who manage groves, we refer readers to the more recent descriptions \nprovided by Stephenson (1996) and Willard (2000). Some of the relevant points from these \ndescriptions with respect to giant sequoia within SEKI and Giant Sequoia National Monument \n(GSNM) include:</p>\n<br>\n<p>- Of the native giant sequoia grove area in SEKI and GSNM approximately 38% is within \nSEKI and 62% is within GSNM.</p>\n<br>\n<p>- 35 of the groves that make up the entire population are all or partially managed by SEKI\nand 33 are managed by GSNM.</p>\n<br>\n<p>- As we have done above, reviewers addressing giant sequoia widely recognize its \ntranscendence beyond an ecologically important species to one with considerable added \ncultural value.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A natural resource condition assessment for Sequoia and Kings Canyon National Parks","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"York, R.A., Stephenson, N.L., Meyer, M., Hanna, S., Tadashi, M., Caprio, A., and Battles, J.J., 2013, A natural resource condition assessment for Sequoia and Kings Canyon National Parks: Appendix 11a: giant sequoias: Natural Resource Report NPS/SEKI/NR--2013/665.11a, vii, 81 p.","productDescription":"vii, 81 p.","numberOfPages":"106","ipdsId":"IP-035049","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":294464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294463,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2195594"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park;Sequoia National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.983208,36.118448 ], [ -118.983208,37.237613 ], [ -118.020777,37.237613 ], [ -118.020777,36.118448 ], [ -118.983208,36.118448 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54252e98e4b0e641df8a6e18","contributors":{"authors":[{"text":"York, Robert A.","contributorId":87871,"corporation":false,"usgs":true,"family":"York","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":501092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":501087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Marc","contributorId":21878,"corporation":false,"usgs":true,"family":"Meyer","given":"Marc","affiliations":[],"preferred":false,"id":501088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanna, Steve","contributorId":65776,"corporation":false,"usgs":true,"family":"Hanna","given":"Steve","email":"","affiliations":[],"preferred":false,"id":501091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tadashi, Moody","contributorId":60558,"corporation":false,"usgs":true,"family":"Tadashi","given":"Moody","email":"","affiliations":[],"preferred":false,"id":501090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":501089,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Battles, John J.","contributorId":102006,"corporation":false,"usgs":false,"family":"Battles","given":"John","email":"","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":501093,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70137783,"text":"70137783 - 2013 - Influence of estuarine processes on spatiotemporal variation in bioavailable selenium","interactions":[],"lastModifiedDate":"2015-01-14T09:37:27","indexId":"70137783","displayToPublicDate":"2013-01-01T09:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Influence of estuarine processes on spatiotemporal variation in bioavailable selenium","docAbstract":"<p>Dynamic processes (physical, chemical and biological) challenge our ability to quantify and manage the ecological risk of chemical contaminants in estuarine environments. Selenium (Se) bioavailability (defined by bioaccumulation), stable isotopes and molar carbon-tonitrogen ratios in the benthic clam Potamocorbula amurensis, an important food source for predators, were determined monthly for 17 yr in northern San Francisco Bay. Se concentrations in the clams ranged from a low of 2 to a high of 22 &mu;g g<sup>-1</sup> over space and time. Little of that variability was stochastic, however. Statistical analyses and preliminary hydrodynamic modeling showed that a constant mid-estuarine input of Se, which was dispersed up- and down-estuary by tidal currents, explained the general spatial patterns in accumulated Se among stations. Regression of Se bioavailability against river inflows suggested that processes driven by inflows were the primary driver of seasonal variability. River inflow also appeared to explain interannual variability but within the range of Se enrichment established at each station by source inputs. Evaluation of risks from Se contamination in estuaries requires the consideration of spatial and temporal variability on multiple scales and of the processes that drive that variability.</p>","language":"English","publisher":"Inter-Research","publisherLocation":"Oldendorf, Germany","doi":"10.3354/meps10503","usgsCitation":"Stewart, A.R., Luoma, S.N., Elrick, K.A., Carter, J.L., and van der Wegen, M., 2013, Influence of estuarine processes on spatiotemporal variation in bioavailable selenium: Marine Ecology Progress Series, v. 492, p. 41-56, https://doi.org/10.3354/meps10503.","productDescription":"16 p.","startPage":"41","endPage":"56","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049865","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":474013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10503","text":"Publisher Index Page"},{"id":297222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297144,"type":{"id":15,"text":"Index Page"},"url":"https://www.int-res.com/articles/meps_oa/m492p041.pdf"}],"volume":"492","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2bd5e4b08de9379b3508","contributors":{"authors":[{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":538093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrick, Kent A.","contributorId":78415,"corporation":false,"usgs":true,"family":"Elrick","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":538097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van der Wegen, Mick","contributorId":76455,"corporation":false,"usgs":true,"family":"van der Wegen","given":"Mick","affiliations":[],"preferred":false,"id":538095,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70121460,"text":"70121460 - 2013 - Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","interactions":[],"lastModifiedDate":"2014-08-22T09:46:03","indexId":"70121460","displayToPublicDate":"2013-01-01T09:42:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data","docAbstract":"<p>Forecasting marsh collapse in coastal Louisiana as a result of changes in sea-level rise, subsidence, and accretion deficits necessitates an understanding of thresholds beyond which inundation stress impedes marsh survival. The variability in thresholds at which different marsh types cease to occur (i.e., marsh collapse) is not well understood. We utilized remotely sensed imagery, field data, and elevation data to help gain insight into the relationships between vegetation health and inundation. A Normalized Difference Vegetation Index (NDVI) dataset was calculated using remotely sensed data at peak biomass (August) and used as a proxy for vegetation health and productivity. Statistics were calculated for NDVI values by marsh type for intermediate, brackish, and saline marsh in coastal Louisiana. Marsh-type specific NDVI values of 1.5 and 2 standard deviations below the mean were used as upper and lower limits to identify conditions indicative of collapse. As marshes seldom occur beyond these values, they are believed to represent a range within which marsh collapse is likely to occur. Inundation depth was selected as the primary candidate for evaluation of marsh collapse thresholds. Elevation relative to mean water level (MWL) was calculated by subtracting MWL from an elevation dataset compiled from multiple data types including light detection and ranging (lidar) and bathymetry. A polynomial cubic regression was used to examine a random subset of pixels to determine the relationship between elevation (relative to MWL) and NDVI. The marsh collapse uncertainty range values were found by locating the intercept of the regression line with the 1.5 and 2 standard deviations below the mean NDVI value for each marsh type. Results indicate marsh collapse uncertainty ranges of 30.7–35.8 cm below MWL for intermediate marsh, 20–25.6 cm below MWL for brackish marsh, and 16.9–23.5 cm below MWL for saline marsh. These values are thought to represent the ranges of inundation depths within which marsh collapse is probable.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Coastal Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/SI63-006.1","usgsCitation":"Couvillion, B., and Beck, H., 2013, Marsh collapse thresholds for coastal Louisiana estimated using elevation and vegetation index data: Journal of Coastal Research, p. 58-67, https://doi.org/10.2112/SI63-006.1.","productDescription":"10 p.","startPage":"58","endPage":"67","numberOfPages":"10","ipdsId":"IP-035354","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":292826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":292823,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2112/SI63-006.1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.6491 ], [ -88.8162,30.6491 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53f8596ae4b03f038c5c1847","contributors":{"authors":[{"text":"Couvillion, Brady R. 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":98834,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady R.","affiliations":[],"preferred":false,"id":499081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, Holly 0000-0002-0567-9329","orcid":"https://orcid.org/0000-0002-0567-9329","contributorId":54714,"corporation":false,"usgs":true,"family":"Beck","given":"Holly","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":499080,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70118249,"text":"70118249 - 2013 - Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","interactions":[],"lastModifiedDate":"2018-06-19T19:55:37","indexId":"70118249","displayToPublicDate":"2013-01-01T09:41:03","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes","docAbstract":"The diversity of ecosystems across boreal landscapes, successional changes after disturbance and complicated permafrost histories, present enormous challenges for assessing how vegetation, water and soil carbon may respond to climate change in boreal regions. To address this complexity, we used a chronosequence approach to assess changes in vegetation composition, water storage and soil organic carbon (SOC) stocks along successional gradients within four landscapes: (1) rocky uplands on ice-poor hillside colluvium, (2) silty uplands on extremely ice-rich loess, (3) gravelly–sandy lowlands on ice-poor eolian sand and (4) peaty–silty lowlands on thick ice-rich peat deposits over reworked lowland loess. In rocky uplands, after fire permafrost thawed rapidly due to low ice contents, soils became well drained and SOC stocks decreased slightly. In silty uplands, after fire permafrost persisted, soils remained saturated and SOC decreased slightly. In gravelly–sandy lowlands where permafrost persisted in drier forest soils, loss of deeper permafrost around lakes has allowed recent widespread drainage of lakes that has exposed limnic material with high SOC to aerobic decomposition. In peaty–silty lowlands, 2–4 m of thaw settlement led to fragmented drainage patterns in isolated thermokarst bogs and flooding of soils, and surface soils accumulated new bog peat. We were not able to detect SOC changes in deeper soils, however, due to high variability. Complicated soil stratigraphy revealed that permafrost has repeatedly aggraded and degraded in all landscapes during the Holocene, although in silty uplands only the upper permafrost was affected. Overall, permafrost thaw has led to the reorganization of vegetation, water storage and flow paths, and patterns of SOC accumulation. However, changes have occurred over different timescales among landscapes: over decades in rocky uplands and gravelly–sandy lowlands in response to fire and lake drainage, over decades to centuries in peaty–silty lowlands with a legacy of complicated Holocene changes, and over centuries in silty uplands where ice-rich soil and ecological recovery protect permafrost.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Institute of Physics Publishing","publisherLocation":"London, England","doi":"10.1088/1748-9326/8/3/035017","usgsCitation":"Jorgenson, M., Harden, J., Kanevskiy, M., O'Donnell, J., Wickland, K., Ewing, S., Manies, K., Zhuang, Q., Shur, Y., Striegl, R.G., and Koch, J.C., 2013, Reorganization of vegetation, hydrology and soil carbon after permafrost degradation across heterogeneous boreal landscapes: Environmental Research Letters, v. 8, no. 3, 13 p., https://doi.org/10.1088/1748-9326/8/3/035017.","productDescription":"13 p.","numberOfPages":"14","costCenters":[],"links":[{"id":474014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/3/035017","text":"Publisher Index Page"},{"id":291101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291100,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/3/035017"}],"volume":"8","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-07-16","publicationStatus":"PW","scienceBaseUri":"57f7f38ee4b0bc0bec0a0a46","contributors":{"authors":[{"text":"Jorgenson, M. 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