{"pageNumber":"1001","pageRowStart":"25000","pageSize":"25","recordCount":184914,"records":[{"id":70193810,"text":"70193810 - 2017 - White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico","interactions":[],"lastModifiedDate":"2017-11-06T10:59:57","indexId":"70193810","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico","docAbstract":"<p>Duckling survival is an important influence on recruitment in several North American <i>Anas</i> species. White-cheeked Pintail (<i>Anas bahamensis</i>) breeding in Puerto Rico encounter a variety of wetland types that may influence duckling survival. We monitored fates of 92 radio-tagged ducklings in 31 broods in 5 wetland habitat types at Humacao Nature Reserve in southeastern Puerto Rico from 2000 to 2002. Wetlands included 2 separate coastal lagoon complexes, mangrove forest, and managed and unmanaged wetland impoundments containing herbaceous vegetation. We used known-fate models to estimate daily and interval survival rates of ducklings and broods. We conducted conservative and liberal analyses of survival because of uncertain fates of 36 ducklings. In the conservative analysis, the most parsimonious model for duckling survival contained wetland type and a positive influence of daily precipitation. In the liberal analysis, duckling survival also varied among wetlands, was positively influenced by daily precipitation, but negatively influenced by hatch date. Brood survival was also positively influenced by precipitation and female body mass. Managed wetland impoundments and shallowly flooded lagoon habitats containing ferns, interspersed cattail (<i>Typha dominguensis</i>), and other herbaceous cover promoted up to 3 times higher survival of ducklings over the course of a 30-day duckling period than we found in mangroves, more deeply flooded lagoons with predominately restricted shoreline cover, or unmanaged impoundments overgrown with vegetation. Broad confidence intervals for survival estimates among wetlands preclude unequivocal interpretation, but our results suggest that White-cheeked Pintail ducklings survive poorly in mangroves but benefit from appropriate management.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-16-169.1","usgsCitation":"Davis, J.B., Vilella, F., Lancaster, J.D., Lopez-Flores, M., Kaminski, R.M., and Cruz-Burgos, J.A., 2017, White-cheeked Pintail duckling and brood survival across wetland types at Humacao Nature Reserve, Puerto Rico: Condor, v. 119, no. 2, p. 308-320, https://doi.org/10.1650/CONDOR-16-169.1.","productDescription":"13 p.","startPage":"308","endPage":"320","ipdsId":"IP-079748","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-16-169.1","text":"Publisher Index Page"},{"id":348250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Humacao Nature Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.78699111938477,\n              18.131822535661165\n            ],\n            [\n              -65.72742462158203,\n              18.131822535661165\n            ],\n            [\n              -65.72742462158203,\n              18.19559753948241\n            ],\n            [\n              -65.78699111938477,\n              18.19559753948241\n            ],\n            [\n              -65.78699111938477,\n              18.131822535661165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"119","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8f6e4b09af898c8cbd5","contributors":{"authors":[{"text":"Davis, J. Brian hdavis@usgs.gov","contributorId":199997,"corporation":false,"usgs":false,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Brian","affiliations":[],"preferred":false,"id":720581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vilella, Francisco 0000-0003-1552-9989 fvilella@usgs.gov","orcid":"https://orcid.org/0000-0003-1552-9989","contributorId":171363,"corporation":false,"usgs":true,"family":"Vilella","given":"Francisco","email":"fvilella@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lancaster, Joseph D.","contributorId":199998,"corporation":false,"usgs":false,"family":"Lancaster","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":720582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopez-Flores, Marisel","contributorId":199999,"corporation":false,"usgs":false,"family":"Lopez-Flores","given":"Marisel","email":"","affiliations":[],"preferred":false,"id":720583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaminski, Richard M.","contributorId":78205,"corporation":false,"usgs":false,"family":"Kaminski","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":720584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cruz-Burgos, Jose A.","contributorId":200001,"corporation":false,"usgs":false,"family":"Cruz-Burgos","given":"Jose","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":720585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193168,"text":"70193168 - 2017 - Achieving full connectivity of sites in the multiperiod reserve network design problem","interactions":[],"lastModifiedDate":"2017-11-20T15:32:16","indexId":"70193168","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5556,"text":"Computers & Operations Research","active":true,"publicationSubtype":{"id":10}},"title":"Achieving full connectivity of sites in the multiperiod reserve network design problem","docAbstract":"The conservation reserve design problem is a challenge to solve because of the spatial and temporal nature of the problem, uncertainties in the decision process, and the possibility of alternative conservation actions for any given land parcel. Conservation agencies tasked with reserve design may benefit from a dynamic decision system that provides tactical guidance for short-term decision opportunities while maintaining focus on a long-term objective of assembling the best set of protected areas possible. To plan cost-effective conservation over time under time-varying action costs and budget, we propose a multi-period mixed integer programming model for the budget-constrained selection of fully connected sites. The objective is to maximize a summed conservation value over all network parcels at the end of the planning horizon. The originality of this work is in achieving full spatial connectivity of the selected sites during the schedule of conservation actions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cor.2016.12.017","usgsCitation":"Jafari, N., Nuse, B.L., Moore, C.T., Dilkina, B., and Hepinstall-Cymerman, J., 2017, Achieving full connectivity of sites in the multiperiod reserve network design problem: Computers & Operations Research, v. 81, p. 119-127, https://doi.org/10.1016/j.cor.2016.12.017.","productDescription":"9 p.","startPage":"119","endPage":"127","ipdsId":"IP-064927","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d0","contributors":{"authors":[{"text":"Jafari, Nahid","contributorId":200626,"corporation":false,"usgs":false,"family":"Jafari","given":"Nahid","email":"","affiliations":[],"preferred":false,"id":722920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuse, Bryan L.","contributorId":200627,"corporation":false,"usgs":false,"family":"Nuse","given":"Bryan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":722921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dilkina, Bistra","contributorId":177110,"corporation":false,"usgs":false,"family":"Dilkina","given":"Bistra","affiliations":[],"preferred":false,"id":722922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hepinstall-Cymerman, Jeffrey","contributorId":51998,"corporation":false,"usgs":true,"family":"Hepinstall-Cymerman","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":722923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192920,"text":"70192920 - 2017 - Disturbance of a rare seabird by ship-based tourism in a marine protected area","interactions":[],"lastModifiedDate":"2017-11-07T13:32:06","indexId":"70192920","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance of a rare seabird by ship-based tourism in a marine protected area","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"true\"><strong></strong><span id=\"_mce_caret\" data-mce-bogus=\"true\"><span>Managers of marine protected areas (MPAs) must often seek ways to allow for visitation while minimizing impacts to the resources they are intended to protect. Using shipboard observers, we quantified the “zone of disturbance” for Kittlitz’s and marbled murrelets (</span><i>Brachyramphus brevirostris</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>B</i><span>.<span>&nbsp;</span></span><i>marmoratus</i><span>) exposed to large cruise ships traveling through Glacier Bay National Park, one of the largest MPAs in North America. In the upper reaches of Glacier Bay, where Kittlitz’s murrelets predominated, binary logistic regression models predicted that 61% of all murrelets within 850 m perpendicular distance of a cruise ship were disturbed (defined as flushing or diving), whereas in the lower reaches, where marbled murrelets predominated, this percentage increased to 72%. Using survival analysis, murrelets in both reaches were found to react at greater distances when ships approached indirectly, presumably because of the ship’s larger profile, suggesting murrelets responded to visual rather than audio cues. No management-relevant covariates (e.g., ship velocity, route distance from shore) were found to be important predictors of disturbance, as distance from ship to murrelet accounted for &gt; 90% of the explained variation in murrelet response. Utilizing previously published murrelet density estimates from Glacier Bay, and applying an average empirical disturbance probability (68%) out to 850 m from a cruise ship’s typical route, we estimated that a minimum of 9.8–19.6% of all murrelets in Glacier Bay are disturbed per ship entry. Whether these disturbance levels are inconsistent with Park management objectives, which include conserving wildlife as well as providing opportunities for visitation, depends in large part on whether disturbance events caused by cruise ships have impacts on murrelet fitness, which remains uncertain.</span></span></span><br data-mce-bogus=\"1\"></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0176176","usgsCitation":"Marcella, T.K., Gende, S.M., Roby, D.D., and Allignol, A., 2017, Disturbance of a rare seabird by ship-based tourism in a marine protected area: PLoS ONE, v. 12, no. 5, p. 1-23, https://doi.org/10.1371/journal.pone.0176176.","productDescription":"e0176176; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-077530","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0176176","text":"Publisher Index Page"},{"id":348388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.373046875,\n              58.205449994019915\n            ],\n            [\n              -135.28564453125,\n              58.205449994019915\n            ],\n            [\n              -135.28564453125,\n              59.06880155405589\n            ],\n            [\n              -137.373046875,\n              59.06880155405589\n            ],\n            [\n              -137.373046875,\n              58.205449994019915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-10","publicationStatus":"PW","scienceBaseUri":"5a07e8f7e4b09af898c8cbdb","contributors":{"authors":[{"text":"Marcella, Timothy K.","contributorId":200095,"corporation":false,"usgs":false,"family":"Marcella","given":"Timothy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gende, Scott M.","contributorId":27320,"corporation":false,"usgs":true,"family":"Gende","given":"Scott","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":720959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roby, Daniel D. 0000-0001-9844-0992 droby@usgs.gov","orcid":"https://orcid.org/0000-0001-9844-0992","contributorId":3702,"corporation":false,"usgs":true,"family":"Roby","given":"Daniel","email":"droby@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allignol, Arthur","contributorId":200096,"corporation":false,"usgs":false,"family":"Allignol","given":"Arthur","email":"","affiliations":[],"preferred":false,"id":720960,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191331,"text":"70191331 - 2017 - The Partners in Flight handbook on species assessment Version 2017","interactions":[],"lastModifiedDate":"2017-10-05T15:58:15","indexId":"70191331","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"The Partners in Flight handbook on species assessment Version 2017","docAbstract":"Partners in Flight (PIF) is a cooperative venture of federal, state, provincial, and territorial agencies, industry, non-governmental organizations, researchers, and many others whose common goal is the conservation of North American birds (www.partnersinflight.org). While PIF has focused primarily on landbirds, it works in conjunction with other bird partners to promote coordinated conservation of all birds.\n\nPIF follows an iterative, adaptive planning approach that develops a sound scientific basis for decision-making and a logical process for setting, implementing, and evaluating conservation objectives (Pashley et al. 2000, Rich et al. 2004, Berlanga et al. 2010). The steps include:\n\n1. Assessing conservation vulnerability of all bird species;\n2. Identifying species most in need of conservation attention at continental and regional scales;\n3. Setting of numerical population objectives for species of continental and regional importance;\n4. Identifying conservation needs and recommended actions for species and habitats of importance;\n5. Implementing strategies for meeting species and habitat objectives at continental and regional scales;\n6. Evaluating success, making revisions, and setting new objectives for the future.\n\nThe 2017 PIF Handbook on Species Assessment (2017 PIF Handbook) documents assessment rules and scores used in the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016) and The State of North America’s Birds 2016 (NABCI 2016). It updates previous versions of the handbook (Panjabi et al. 2012, 2005, 2001) developed to accompany other PIF applications including Saving Our Shared Birds: Partners in Flight Tri-National Vision for Landbird Conservation (Berlanga et al. 2010) and the North American Landbird Conservation Plan (Rich et al. 2004). All current and past scores, data sources, and other related information are contained in databases hosted by the Bird Conservancy of the Rockies. Scores can be viewed online and downloaded as excel files, including archived versions (http://pif.birdconservancy.org/acad). The current accompanying Avian Conservation Assessment Database (ACAD) holds assessment scores and data for all 1585 native and 18 well-established non-native bird species found in mainland North America south to Panama plus adjacent islands and oceans. The taxonomy follows the American Ornithological Society’s 7th Edition Checklist of North and Middle American Birds, including updates though the 57th supplement, published in 2016 (http://checklist.aou.org/). The ACAD builds on archived PIF databases that hosted only data on the 882 landbirds native to Canada, USA and Mexico.\n\nThis handbook is presented in two principal sections. Part I details the factors and scoring used by PIF to assess the vulnerability of species at continental and regional scales (i.e. step 1 of the planning approach above). Each assessment factor is based on biological criteria that evaluate distinct components of vulnerability throughout the life cycle of each species across its range. Part II describes the process of how the factors and the corresponding scores can be combined to highlight conservation needs (i.e. step 2 of the planning approach above). Both the scores and the process have evolved over time (Hunter et al. 1992, Carter et al. 2000, Panjabi et al. 2001, 2005, 2012) and continue to be updated in response to external review (Beissinger et al. 2000), broad partner expertise, and the emergence of new data and analytical tools.","language":"English","publisher":"Partners in Flight","usgsCitation":"Panjabi, A.O., Blancher, P.J., Easton, W.E., Stanton, J.C., Demarest, D.W., Dettmers, R., Rosenberg, K.V., and Partners in Flight Science Committee, 2017, The Partners in Flight handbook on species assessment Version 2017, 43 p.","productDescription":"43 p.","ipdsId":"IP-086026","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346389,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/ACAD/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d744a3e4b05fe04cc7e324","contributors":{"authors":[{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":711964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easton, Wendy E.","contributorId":175185,"corporation":false,"usgs":false,"family":"Easton","given":"Wendy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":711966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demarest, Dean W.","contributorId":175184,"corporation":false,"usgs":false,"family":"Demarest","given":"Dean","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dettmers, Randy","contributorId":196926,"corporation":false,"usgs":false,"family":"Dettmers","given":"Randy","email":"","affiliations":[],"preferred":false,"id":711967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":711968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Partners in Flight Science Committee","contributorId":196951,"corporation":true,"usgs":false,"organization":"Partners in Flight Science Committee","id":711969,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187869,"text":"70187869 - 2017 - Aquatic-riparian systems","interactions":[],"lastModifiedDate":"2020-08-21T13:15:41.377791","indexId":"70187869","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Aquatic-riparian systems","docAbstract":"<p>&nbsp;No abstract available.<br></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"People, forests, and change: Lessons from the Pacific Northwest","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Island Press","isbn":"9781610917667","usgsCitation":"Olson, D.H., Johnson, S.L., Anderson, P.D., Penaluna, B.E., and Dunham, J., 2017, Aquatic-riparian systems, chap. 14 <i>of</i> People, forests, and change: Lessons from the Pacific Northwest.","ipdsId":"IP-075819","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":341801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341571,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/people-forests-and-change"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e97e4b016f7a9407702","contributors":{"authors":[{"text":"Olson, Deanna H.","contributorId":60332,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":695832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":695833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Paul D.","contributorId":192211,"corporation":false,"usgs":false,"family":"Anderson","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":695834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penaluna, Brooke E.","contributorId":104817,"corporation":false,"usgs":true,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. jdunham@usgs.gov","contributorId":147527,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":695831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188109,"text":"70188109 - 2017 - Climate legacy and lag effects on dryland plant communities in the southwestern U.S.","interactions":[],"lastModifiedDate":"2017-05-31T13:23:34","indexId":"70188109","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Climate legacy and lag effects on dryland plant communities in the southwestern U.S.","docAbstract":"<p><span>Climate change effects on vegetation will likely be strong in the southwestern U.S., which is projected to experience large increases in temperature and changes in precipitation. Plant communities in the southwestern U.S. may be particularly vulnerable to climate change as the productivity of many plant species is strongly water-limited. This study examines the relationship between climate and vegetation condition using a time-series of Landsat imagery across grassland, shrubland, and woodland communities on the Colorado Plateau, USA. We improve on poorly understood inter-annual climate-vegetation relationships by exploring how the responses of different plant communities depend on climate legacies (&gt;12&nbsp;months) and lag behind shorter-term (3–12 month) changes in water availability. Our results show a prolonged drying trend on the Colorado Plateau since the early 1990s that was punctuated in several years by intense droughts. In areas that experienced sustained dry conditions or a drying trend, vegetation greenness (a proxy for production) increased linearly when conditions were interrupted by wetting events. In contrast, in areas that experienced sustained wet conditions or a wetting trend, vegetation greenness was weakly or not related to wetting events, indicating that production may saturate if vegetation experiences sufficient water availability. Shrubland and woodland communities had stronger relationships with climate at long lags (6–12 months) and many maintained greenness under sustained water deficit, whereas grassland communities had stronger relationships at short lags (3–6 months) and lost greenness even in periods of short-term drought. The results of our study show the importance of identifying climate legacies and lags when assessing indicators of ecological drought, which can be used to improve forecasts of which plant communities will be vulnerable under future climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2016.10.024","usgsCitation":"Bunting, E., Munson, S.M., and Villarreal, M.L., 2017, Climate legacy and lag effects on dryland plant communities in the southwestern U.S.: Ecological Indicators, v. 74, p. 216-229, https://doi.org/10.1016/j.ecolind.2016.10.024.","productDescription":"14 p.","startPage":"216","endPage":"229","ipdsId":"IP-080256","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":438355,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90CRK5N","text":"USGS data release","linkHelpText":"Dataset for climate legacy and lag effects on dryland plant communities in the southwestern U.S."},{"id":341940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -113.115234375,\n              35.8356283888737\n            ],\n            [\n              -106.94091796875,\n              35.8356283888737\n            ],\n            [\n              -106.94091796875,\n              40.96330795307353\n            ],\n            [\n              -113.115234375,\n              40.96330795307353\n            ],\n            [\n              -113.115234375,\n              35.8356283888737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"74","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd63ce4b0e9bd0ea896e6","contributors":{"authors":[{"text":"Bunting, Erin 0000-0001-9103-6065 ebunting@usgs.gov","orcid":"https://orcid.org/0000-0001-9103-6065","contributorId":168488,"corporation":false,"usgs":true,"family":"Bunting","given":"Erin","email":"ebunting@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":696776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":696777,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195433,"text":"70195433 - 2017 - Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration","interactions":[],"lastModifiedDate":"2018-04-02T10:03:30","indexId":"70195433","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration","docAbstract":"<p><span>Shale is an increasingly viable source of natural gas and a potential candidate for geologic CO</span><sub>2</sub><span>sequestration. Understanding the gas adsorption behavior on shale is necessary for the design of optimal gas recovery and sequestration projects. In the present study neutron diffraction and small-angle neutron scattering measurements of adsorbed CO</span><sub>2</sub><span><span>&nbsp;</span>in Marcellus Shale samples were conducted on the Near and InterMediate Range Order Diffractometer (NIMROD) at the ISIS Pulsed Neutron and Muon Source, STFC Rutherford Appleton Laboratory along an adsorption isotherm of 22 °C and pressures of 25 and 40 bar. Additional measurements were conducted at approximately 22 and 60 °C at the same pressures on the General-Purpose Small-Angle Neutron Scattering (GP-SANS) instrument at Oak Ridge National Laboratory. The structures investigated (pores) for CO</span><sub>2</sub><span><span>&nbsp;</span>adsorption range in size from Å level to ∼50 nm. The results indicate that, using the conditions investigated densification or condensation effects occurred in all accessible pores. The data suggest that at 22 °C the CO</span><sub>2</sub><span><span>&nbsp;</span>has liquid-like properties when confined in pores of around 1 nm radius at pressures as low as 25 bar. Many of the 2.5 nm pores, 70% of 2 nm pores, most of the &lt;1 nm pores, and all pores &lt;0.25 nm, are inaccessible or closed to CO</span><sub>2</sub><span>, suggesting that despite the vast numbers of micropores in shale, the micropores will be unavailable for storage for geologic CO</span><sub>2</sub><span><span>&nbsp;</span>sequestration.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b05707","usgsCitation":"Stefanopoulos, K.L., Youngs, T.G., Sakurovs, R., Ruppert, L.F., Bahadur, J., and Melnichenko, Y.B., 2017, Neutron scattering measurements of carbon dioxide adsorption in pores within the Marcellus Shale: Implications for sequestration: Environmental Science & Technology, v. 51, no. 11, p. 6515-6521, https://doi.org/10.1021/acs.est.6b05707.","productDescription":"7 p.","startPage":"6515","endPage":"6521","ipdsId":"IP-081182","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":469890,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1356718","text":"Publisher Index Page"},{"id":352996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc462","contributors":{"authors":[{"text":"Stefanopoulos, Konstantinos L.","contributorId":202501,"corporation":false,"usgs":false,"family":"Stefanopoulos","given":"Konstantinos","email":"","middleInitial":"L.","affiliations":[{"id":36464,"text":"Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Greece","active":true,"usgs":false}],"preferred":false,"id":728583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Youngs, Tristan G. A.","contributorId":202502,"corporation":false,"usgs":false,"family":"Youngs","given":"Tristan","email":"","middleInitial":"G. A.","affiliations":[{"id":36465,"text":"Disordered Materials Group (ISIS), STFC Rutherford Appleton Laboratory, U.K.","active":true,"usgs":false}],"preferred":false,"id":728584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sakurovs, Richard 0000-0003-0967-6560","orcid":"https://orcid.org/0000-0003-0967-6560","contributorId":196194,"corporation":false,"usgs":false,"family":"Sakurovs","given":"Richard","email":"","affiliations":[],"preferred":false,"id":728585,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":728582,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bahadur, Jitendra","contributorId":202499,"corporation":false,"usgs":false,"family":"Bahadur","given":"Jitendra","email":"","affiliations":[{"id":36462,"text":"Bhabha Atomic Research Centre","active":true,"usgs":false}],"preferred":false,"id":728586,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melnichenko, Yuri B.","contributorId":196197,"corporation":false,"usgs":false,"family":"Melnichenko","given":"Yuri","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":728587,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187393,"text":"70187393 - 2017 - Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","interactions":[],"lastModifiedDate":"2019-12-17T09:28:42","indexId":"70187393","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2675,"text":"Marine Ornithology: Journal of Seabird Research and Conservation","onlineIssn":"2074-1235","printIssn":"1018-3337","active":true,"publicationSubtype":{"id":10}},"title":"Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015","docAbstract":"<p>Periodic assessments of population trends and changes in spatial distribution are valuable for managing marine birds and their breeding habitats, particularly when evaluating long-term response to threats such as oil spills, predation pressure, and changing ocean conditions. We evaluated recent trends in abundance and distribution of the Common Murre <i>Uria aalge</i> within Copalis, Quillayute Needles, and Flattery Rocks National Wildlife Refuges, which include all murre colonies in Washington except one, off-refuge, on Tatoosh Island. In 1996-2001 and 2010-2015, aerial photographic surveys were conducted during the incubation phase (mid-June through mid-July) each year. Using images from film (1996-2001) and digital (2010-2015) cameras that included all parts of each colony, we manually counted murres. We estimated population trend as annual percent change in whole-colony counts using an overdispersed Poisson regression model. Overall, numbers of murres counted at breeding colonies in Washington increased by 8.8% per year (95% CI 3.0%-14.9%) during 1996–2015. The overall statewide increase was driven by an increase at colonies in northern Washington of approximately 11% per year (95% CI 4.5%-17.8%). Despite an increasing trend, abundance remains lower than levels in the late 1970s, and the spatial distribution has changed. Colonies in southern Washington - where murres were historically the most abundant - are no longer active, or only minimally so, whereas colonies in the north - which were rarely active in the early 1970s - are now the largest. There was high variability in spatial distribution among years, a pattern that indicates a need for coordinated monitoring and movement studies throughout the California Current System to understand dispersal and colonization. Our results indicate that future management of refuge islands could protect both current and historic colony locations, given the patterns of colony dynamics and the uncertainty about long-term effects of a changing ocean ecosystem and predation pressure on the status of murres.</p>","language":"English","publisher":"Marine Ornithology","usgsCitation":"Thomas, S., and Lyons, J.E., 2017, Population trends and distribution of Common Murre <i>Uria aalge</i> colonies in Washington, 1996-2015: Marine Ornithology: Journal of Seabird Research and Conservation, v. 45, no. 1, p. 95-102.","productDescription":"8 p.","startPage":"95","endPage":"102","ipdsId":"IP-079216","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":340686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340685,"type":{"id":15,"text":"Index 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 \"}}]}","volume":"45","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5908491ee4b0fc4e448ffd3c","contributors":{"authors":[{"text":"Thomas, Susan M","contributorId":191668,"corporation":false,"usgs":false,"family":"Thomas","given":"Susan M","affiliations":[],"preferred":false,"id":693777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":693776,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196238,"text":"70196238 - 2017 - Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America","interactions":[],"lastModifiedDate":"2018-03-28T11:31:36","indexId":"70196238","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Historical biogeography sets the foundation for contemporary conservation of martens (genus <i>Martes) in northwestern North America","title":"Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America","docAbstract":"<p><span>Effective conservation of insular populations requires careful consideration of biogeography, including colonization histories and patterns of endemism. Across the Pacific Northwest of North America, Pacific martens (</span><i>Martes caurina</i><span>) and American pine martens (</span><i>Martes americana</i><span>) are parapatric sister species with distinctive postglacial histories. Using mitochondrial DNA and 12 nuclear microsatellite loci, we examine processes of island colonization and anthropogenic introductions across 25 populations of martens. Along the North Pacific Coast (NPC),<span>&nbsp;</span></span><i>M. caurina</i><span><span>&nbsp;</span>is now found on only 2 islands, whereas<span>&nbsp;</span></span><i>M. americana</i><span><span>&nbsp;</span>occurs on mainland Alaska and British Columbia and multiple associated islands. Island populations of<span>&nbsp;</span></span><i>M. caurina</i><span><span>&nbsp;</span>have a longer history of isolation reflected in divergent haplotypes, private microsatellite alleles, and relatively low within-population diversity. In contrast, insular<span>&nbsp;</span></span><i>M. americana</i><span>have lower among-population divergence and higher metrics of within-population diversity. On some NPC islands, introductions of<span>&nbsp;</span></span><i>M. americana</i><span><span>&nbsp;</span>may be related to decline of<span>&nbsp;</span></span><i>M. caurina</i><span>. Long-term persistence of these species likely has been influenced by anthropogenic manipulations, including wildlife translocations and industrial-scale deforestation, yet, the distinctive histories of these martens have not been incorporated into natural resource policies.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyx047","usgsCitation":"Dawson, N.G., Colella, J.P., Small, M.P., Stone, K.D., Talbot, S.L., and Cook, J.A., 2017, Historical biogeography sets the foundation for contemporary conservation of martens (genus Martes) in northwestern North America: Journal of Mammalogy, v. 98, no. 3, p. 715-730, https://doi.org/10.1093/jmammal/gyx047.","productDescription":"16 p.","startPage":"715","endPage":"730","ipdsId":"IP-080701","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx047","text":"Publisher Index Page"},{"id":352819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"5afee886e4b0da30c1bfc460","contributors":{"authors":[{"text":"Dawson, Natalie G.","contributorId":190333,"corporation":false,"usgs":false,"family":"Dawson","given":"Natalie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":731808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":731809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Small, Maurine P.","contributorId":203572,"corporation":false,"usgs":false,"family":"Small","given":"Maurine","email":"","middleInitial":"P.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":731810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Karen D.","contributorId":203573,"corporation":false,"usgs":false,"family":"Stone","given":"Karen","email":"","middleInitial":"D.","affiliations":[{"id":36659,"text":"Department of Biology, Southern Oregon University","active":true,"usgs":false}],"preferred":false,"id":731811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":731807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":731812,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192739,"text":"70192739 - 2017 - Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","interactions":[],"lastModifiedDate":"2017-11-08T13:03:10","indexId":"70192739","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012","docAbstract":"<p><span>Burn area and the frequency of extreme fire events have been increasing during recent decades in North America, and this trend is expected to continue over the 21st century. While many aspects of the North American carbon budget have been intensively studied, the net contribution of fire disturbance to the overall net carbon flux at the continental scale remains uncertain. Based on national scale, spatially explicit and long-term fire data, along with the improved model parameterization in a process-based ecosystem model, we simulated the impact of fire disturbance on both direct carbon emissions and net terrestrial ecosystem carbon balance in North America. Fire-caused direct carbon emissions were 106.55&nbsp;±&nbsp;15.98&nbsp;Tg&nbsp;C/yr during 1990–2012; however, the net ecosystem carbon balance associated with fire was −26.09&nbsp;±&nbsp;5.22&nbsp;Tg&nbsp;C/yr, indicating that most of the emitted carbon was resequestered by the terrestrial ecosystem. Direct carbon emissions showed an increase in Alaska and Canada during 1990–2012 as compared to prior periods due to more extreme fire events, resulting in a large carbon source from these two regions. Among biomes, the largest carbon source was found to be from the boreal forest, primarily due to large reductions in soil organic matter during, and with slower recovery after, fire events. The interactions between fire and environmental factors reduced the fire-caused ecosystem carbon source. Fire disturbance only caused a weak carbon source as compared to the best estimate terrestrial carbon sink in North America owing to the long-term legacy effects of historical burn area coupled with fast ecosystem recovery during 1990–2012.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016GB005548","usgsCitation":"Chen, G., Hayes, D.J., and McGuire, A.D., 2017, Contributions of wildland fire to terrestrial ecosystem carbon dynamics in North America from 1990 to 2012: Global Biogeochemical Cycles, v. 31, no. 5, p. 878-900, https://doi.org/10.1002/2016GB005548.","productDescription":"23 p.","startPage":"878","endPage":"900","ipdsId":"IP-084072","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gb005548","text":"Publisher Index Page"},{"id":348451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"31","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-27","publicationStatus":"PW","scienceBaseUri":"5a0425b9e4b0dc0b45b45388","contributors":{"authors":[{"text":"Chen, Guangsheng","contributorId":200153,"corporation":false,"usgs":false,"family":"Chen","given":"Guangsheng","email":"","affiliations":[],"preferred":false,"id":721156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716799,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187141,"text":"ofr20171029 - 2017 - Guidelines for preparation of State water-use estimates for 2015","interactions":[],"lastModifiedDate":"2017-05-02T08:59:14","indexId":"ofr20171029","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1029","title":"Guidelines for preparation of State water-use estimates for 2015","docAbstract":"<p>The U.S. Geological Survey (USGS) has estimated the use of water in the United States at 5-year intervals since 1950. This report describes the water-use categories and data elements used for the national water-use compilation conducted as part of the USGS National Water-Use Science Project. The report identifies sources of water-use information, provides standard methods and techniques for estimating water use at the county level, and outlines steps for preparing documentation for the United States, the District of Columbia, Puerto Rico, and the U.S. Virgin Islands.</p><p>As part of this USGS program to document water use on a national scale, estimates of water withdrawals for the categories of public supply, self-supplied domestic, industrial, irrigation, and thermoelectric power are prepared for each county in each State, District, or territory by using the guidelines in this report. County estimates of water withdrawals for aquaculture, livestock, and mining are prepared for each State by using a county-based national model, although water-use programs in each State or Water Science Center have the option of producing independent county estimates of water withdrawals for these categories. Estimates of water withdrawals and consumptive use for thermoelectric power will be aggregated to the county level for each State by the national project; additionally, irrigation consumptive use at the county level will also be provided, although study chiefs in each State have the option of producing independent county estimates of water withdrawals and consumptive use for these categories.</p><p>Estimates of deliveries of water from public supplies for domestic use by county also will be prepared for each State. As a result, total domestic water use can be determined for each State by combining self-supplied domestic withdrawals and public-supplied domestic deliveries. Fresh groundwater and surface-water estimates will be prepared for all categories of use, and saline groundwater and surface-water estimates by county will be prepared for the categories of public supply, industrial, mining, and thermoelectric power. Power production for thermoelectric power and irrigated acres by irrigation system type will be compiled. If data are available, reclaimed-wastewater use will be compiled for the public-supply, industrial, mining, thermoelectric-power, and irrigation categories.</p><p>Optional water-use categories are commercial, hydroelectric power, and wastewater treatment. Optional data elements are public-supply deliveries to commercial, industrial, and thermoelectric-power users; consumptive use (for categories other than thermoelectric power and irrigation); irrigation conveyance loss; and number of facilities. Aggregation of water-use data by stream basin (eight-digit hydrologic unit code) and principal aquifers also is optional.</p><p>Water-use data compiled by the States will be stored in the USGS Aggregate Water-Use Data System (AWUDS). This database is a comprehensive aggregated database designed to store mandatory and optional data elements. AWUDS contains several routines that can be used for quality assurance and quality control of the data, and AWUDS produces tables of water-use data from the previous compilations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171029","collaboration":"National Water-Use Science Project","usgsCitation":"Bradley, M.W., comp., 2017, Guidelines for preparation of State water-use estimates for 2015: U.S. Geological Survey Open-File Report 2017–1029, 54 p., https://doi.org/10.3133/ofr20171029.","productDescription":"viii, 54 p.","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-078880","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":340450,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1029/coverthb2.jpg"},{"id":340259,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1029/ofr20171029.pdf","text":"Report","size":"719 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1029"},{"id":340258,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1029/coverthb.jpg"}],"contact":"<p>Director, Lower Mississippi-Gulf Water Science Center—Tennessee <br>640 Grassmere&nbsp;Park<br>Suite 100<br>Nashville, TN 37211</p><p><a href=\"https://tn.water.usgs.gov/\" data-mce-href=\"https://tn.water.usgs.gov/\">https://tn.water.usgs.gov</a>/</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Water-Use Compilation Requirements<br></li><li>Compilation Methods<br></li><li>Public Supply<br></li><li>Self-Supplied Domestic<br></li><li>Commercial<br></li><li>Industrial<br></li><li>Thermoelectric Power<br></li><li>Mining<br></li><li>Livestock<br></li><li>Aquaculture<br></li><li>Irrigation<br></li><li>Hydroelectric Power<br></li><li>Wastewater Treatment<br></li><li>Reservoir Evaporation<br></li><li>References<br></li><li>Glossary<br></li><li>Appendix 1. Coding Forms for the Compilation of Water-Use Data<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-05-01","noUsgsAuthors":false,"publicationDate":"2017-05-01","publicationStatus":"PW","scienceBaseUri":"59084922e4b0fc4e448ffd40","contributors":{"compilers":[{"text":"Bradley, Mike 0000-0002-2979-265X mbradley@usgs.gov","orcid":"https://orcid.org/0000-0002-2979-265X","contributorId":582,"corporation":false,"usgs":true,"family":"Bradley","given":"Mike","email":"mbradley@usgs.gov","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692793,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":70193533,"text":"70193533 - 2017 - Effect of substrate size on sympatric sand darter benthic habitat preferences","interactions":[],"lastModifiedDate":"2017-11-05T22:09:31","indexId":"70193533","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of substrate size on sympatric sand darter benthic habitat preferences","docAbstract":"<p>The western sand darter, <i>Ammocrypta clara</i>, and the eastern sand darter, <i>A. pellucida</i>, are sand-dwelling fishes that have undergone range-wide population declines, presumably owing to habitat loss. Habitat use studies have been conducted for the eastern sand darter, but literature on the western sand darter remains sparse. To evaluate substrate selection and preference, western and eastern sand darters were collected from the Elk River, West Virginia, one of the few remaining rivers where both species occur sympatrically. In the laboratory, individuals were given the choice to bury into five equally available and randomly positioned substrates ranging from fine sand to granule gravel (0.12–4.0 mm). The western sand darter selected for coarse and medium sand, while the eastern sand darter was more of a generalist selecting for fine, medium, and coarse sand. Substrate selection was significantly different (<i>p</i> = 0.02) between species in the same environment, where the western sand darter preferred coarser substrate more often compared to the eastern sand darter. Habitat degradation is often a limiting factor for many species of rare freshwater fish, and results from this study suggest that western and eastern sand darters may respond differently to variations in benthic substrate composition.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2017.1319880","usgsCitation":"Thompson, P., Welsh, S.A., Rizzo, A.A., and Smith, D.M., 2017, Effect of substrate size on sympatric sand darter benthic habitat preferences: Journal of Freshwater Ecology, v. 32, no. 1, p. 455-465, https://doi.org/10.1080/02705060.2017.1319880.","productDescription":"11 p.","startPage":"455","endPage":"465","ipdsId":"IP-079713","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469880,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2017.1319880","text":"Publisher Index Page"},{"id":348211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"5a003150e4b0531197b5a746","contributors":{"authors":[{"text":"Thompson, Patricia A. pathompson@usgs.gov","contributorId":5249,"corporation":false,"usgs":true,"family":"Thompson","given":"Patricia A.","email":"pathompson@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":719298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":720416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rizzo, Austin A.","contributorId":191439,"corporation":false,"usgs":false,"family":"Rizzo","given":"Austin","email":"","middleInitial":"A.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":720417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Dustin M.","contributorId":171829,"corporation":false,"usgs":false,"family":"Smith","given":"Dustin","email":"","middleInitial":"M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":720418,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192831,"text":"70192831 - 2017 - A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","interactions":[],"lastModifiedDate":"2017-10-30T16:33:18","indexId":"70192831","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response","docAbstract":"<p><span>Myanmar is in a tectonically complex region between the eastern edge of the Himalayan collision zone and the northern end of the Sunda megathrust. Until recently, earthquake monitoring and research efforts have been hampered by a lack of modern instrumentation and communication infrastructure. In January 2016, a major upgrade of the Myanmar National Seismic Network (MNSN; network code MM) was undertaken to improve earthquake monitoring capability. We installed five permanent broadband and strong‐motion seismic stations and real‐time data telemetry using newly improved cellular networks. Data are telemetered to the MNSN hub in Nay Pyi Taw and archived at the Incorporated Research Institutions for Seismology Data Management Center. We analyzed station noise characteristics and site response using noise and events recorded over the first six months of station operation. Background noise characteristics vary across the array, but indicate that the new stations are performing well. MM stations recorded more than 20 earthquakes of&nbsp;</span><i>M</i><span>≥4.5 within Myanmar and its immediate surroundings, including an<span>&nbsp;</span></span><i>M</i><span>&nbsp;6.8 earthquake located northwest of Mandalay on 13 April 2016 and the<span>&nbsp;</span></span><i>M</i><sub>w</sub><span>&nbsp;6.8 Chauk event on 24 August 2016. We use this new dataset to calculate horizontal‐to‐vertical spectral ratios, which provide a preliminary characterization of site response of the upgraded MM stations.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160168","usgsCitation":"Thiam, H.N., Min Htwe, Y.M., Kyaw, T.L., Tun, P.P., Min, Z., Htwe, S.H., Aung, T.M., Lin, K.K., Aung, M.M., De Cristofaro, J., Franke, M., Radman, S., Lepiten, E., Wolin, E., and Hough, S.E., 2017, A report on upgraded seismic monitoring stations in Myanmar: Station performance and site response: Seismological Research Letters, v. 88, no. 3, p. 926-934, https://doi.org/10.1785/0220160168.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-084392","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Myanmar","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[99.54331,20.1866],[98.95968,19.75298],[98.25372,19.7082],[97.79778,18.62708],[97.3759,18.44544],[97.85912,17.56795],[98.49376,16.83784],[98.90335,16.17782],[98.53738,15.3085],[98.19207,15.1237],[98.43082,14.62203],[99.09776,13.8275],[99.21201,13.26929],[99.19635,12.80475],[99.58729,11.89276],[99.03812,10.96055],[98.55355,9.93296],[98.45717,10.67527],[98.76455,11.44129],[98.42834,12.03299],[98.50957,13.12238],[98.1036,13.64046],[97.77773,14.83729],[97.59707,16.10057],[97.16454,16.92873],[96.50577,16.42724],[95.36935,15.71439],[94.8084,15.80345],[94.1888,16.03794],[94.53349,17.27724],[94.32482,18.21351],[93.54099,19.36649],[93.66325,19.72696],[93.07828,19.85514],[92.36855,20.67088],[92.30323,21.47549],[92.65226,21.32405],[92.67272,22.04124],[93.16613,22.27846],[93.06029,22.70311],[93.28633,23.04366],[93.32519,24.07856],[94.10674,23.85074],[94.55266,24.67524],[94.60325,25.1625],[95.15515,26.00131],[95.12477,26.57357],[96.41937,27.26459],[97.134,27.08377],[97.05199,27.69906],[97.40256,27.88254],[97.32711,28.26158],[97.91199,28.33595],[98.24623,27.74722],[98.68269,27.50881],[98.71209,26.74354],[98.67184,25.9187],[97.72461,25.08364],[97.60472,23.8974],[98.66026,24.06329],[98.89875,23.14272],[99.53199,22.94904],[99.2409,22.11831],[99.98349,21.74294],[100.41654,21.55884],[101.15003,21.84998],[101.18001,21.43657],[100.3291,20.78612],[100.11599,20.41785],[99.54331,20.1866]]]},\"properties\":{\"name\":\"Myanmar\"}}]}","volume":"88","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-22","publicationStatus":"PW","scienceBaseUri":"59f83a37e4b063d5d30980e1","contributors":{"authors":[{"text":"Thiam, Hrin Nei","contributorId":198766,"corporation":false,"usgs":false,"family":"Thiam","given":"Hrin","email":"","middleInitial":"Nei","affiliations":[],"preferred":false,"id":717099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Min Htwe, Yin Myo","contributorId":198767,"corporation":false,"usgs":false,"family":"Min Htwe","given":"Yin","email":"","middleInitial":"Myo","affiliations":[],"preferred":false,"id":717100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kyaw, Tun Lin","contributorId":198768,"corporation":false,"usgs":false,"family":"Kyaw","given":"Tun","email":"","middleInitial":"Lin","affiliations":[],"preferred":false,"id":717101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tun, Pa 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Mathias","contributorId":198775,"corporation":false,"usgs":false,"family":"Franke","given":"Mathias","email":"","affiliations":[],"preferred":false,"id":717108,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Radman, Stefan","contributorId":198776,"corporation":false,"usgs":false,"family":"Radman","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":717109,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lepiten, Elouie","contributorId":198777,"corporation":false,"usgs":false,"family":"Lepiten","given":"Elouie","email":"","affiliations":[],"preferred":false,"id":717110,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science 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,{"id":70192811,"text":"70192811 - 2017 - Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","interactions":[],"lastModifiedDate":"2017-11-13T13:25:46","indexId":"70192811","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history","docAbstract":"<p>The time at which the Laurentide Ice Sheet reached its maximum extent and subsequently retreated from its terminal moraine in New Jersey has been constrained by bracketing radiocarbon ages on preglacial and postglacial sediments. Here, we present measurements of in situ produced <span class=\"sup\">10</span>Be and <span class=\"sup\">26</span>Al in 16 quartz-bearing samples collected from bedrock outcrops and glacial erratics just north of the terminal moraine in north-central New Jersey; as such, our ages represent a minimum limit on the timing of ice recession from the moraine. The data set includes field and laboratory replicates, as well as replication of the entire data set five years after initial measurement. We find that recession of the Laurentide Ice Sheet from the terminal moraine in New Jersey began before 25.2±2.1 ka (<span class=\"sup\">10</span>Be, n=16, average, 1 standard deviation). This cosmogenic nuclide exposure age is consistent with existing limiting radiocarbon ages in the study area and cosmogenic nuclide exposure ages from the terminal moraine on Martha’s Vineyard ~300 km to the northeast. The age we propose for Laurentide Ice Sheet retreat from the New Jersey terminal position is broadly consistent with regional and global climate records of the last glacial maximum termination and records of fluvial incision.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.11","usgsCitation":"Corbett, L.B., Bierman, P., Stone, B.D., Caffee, M.W., and Larsen, P.L., 2017, Cosmogenic nuclide age estimate for Laurentide Ice Sheet recession from the terminal moraine, New Jersey, USA, and constraints on latest Pleistocene ice sheet history: Quaternary Research, v. 87, no. 3, p. 482-498, https://doi.org/10.1017/qua.2017.11.","productDescription":"17 p.","startPage":"482","endPage":"498","ipdsId":"IP-077896","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"87","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d3","contributors":{"authors":[{"text":"Corbett, Lee B.","contributorId":152123,"corporation":false,"usgs":false,"family":"Corbett","given":"Lee","email":"","middleInitial":"B.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierman, Paul R.","contributorId":198743,"corporation":false,"usgs":false,"family":"Bierman","given":"Paul R.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, Byron D. 0000-0001-6092-0798 bdstone@usgs.gov","orcid":"https://orcid.org/0000-0001-6092-0798","contributorId":1702,"corporation":false,"usgs":true,"family":"Stone","given":"Byron","email":"bdstone@usgs.gov","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":717036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caffee, Marc W. 0000-0002-6846-8967","orcid":"https://orcid.org/0000-0002-6846-8967","contributorId":193417,"corporation":false,"usgs":false,"family":"Caffee","given":"Marc","email":"","middleInitial":"W.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":717039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larsen, Patrick L.","contributorId":198744,"corporation":false,"usgs":false,"family":"Larsen","given":"Patrick","email":"","middleInitial":"L.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":717040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189344,"text":"70189344 - 2017 - Managing the livestock– Wildlife interface on rangelands","interactions":[],"lastModifiedDate":"2017-07-11T14:42:50","indexId":"70189344","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Managing the livestock– Wildlife interface on rangelands","docAbstract":"<p><span>On rangelands the livestock–wildlife interface is mostly characterized by management actions aimed at controlling problems associated with competition, disease, and depredation. Wildlife communities (especially the large vertebrate species) are typically incompatible with agricultural development because the opportunity costs of wildlife conservation are unaffordable except in arid and semi-arid regions. Ecological factors including the provision of supplementary food and water for livestock, together with the persecution of large predators, result in livestock replacing wildlife at biomass densities far exceeding those of indigenous ungulates. Diseases are difficult to eradicate from free-ranging wildlife populations and so veterinary controls usually focus on separating commercial livestock herds from wildlife. Persecution of large carnivores due to their depredation of livestock has caused the virtual eradication of apex predators from most rangelands. However, recent research points to a broad range of solutions to reduce conflict at the livestock–wildlife interface. Conserving wildlife bolsters the adaptive capacity of a rangeland by providing stakeholders with options for dealing with environmental change. This is contingent upon local communities being empowered to benefit directly from their wildlife resources within a management framework that integrates land-use sectors at the landscape scale. As rangelands undergo irreversible changes caused by species invasions and climate forcings, the future perspective favors a proactive shift in attitude towards the livestock–wildlife interface, from problem control to asset management.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rangeland Systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-46709-2_12","usgsCitation":"du Toit, J., Cross, P.C., and Valeix, M., 2017, Managing the livestock– Wildlife interface on rangelands, chap. <i>of</i> Rangeland Systems, p. 395-425, https://doi.org/10.1007/978-3-319-46709-2_12.","productDescription":"31 p.","startPage":"395","endPage":"425","ipdsId":"IP-059873","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-319-46709-2_12","text":"Publisher Index Page"},{"id":343593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2017-04-14","publicationStatus":"PW","scienceBaseUri":"5965b1eee4b0d1f9f05b37c8","contributors":{"authors":[{"text":"du Toit, Johan T.","contributorId":86583,"corporation":false,"usgs":true,"family":"du Toit","given":"Johan T.","affiliations":[],"preferred":false,"id":704298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":704299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valeix, Marion","contributorId":194482,"corporation":false,"usgs":false,"family":"Valeix","given":"Marion","email":"","affiliations":[],"preferred":false,"id":704300,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192902,"text":"70192902 - 2017 - Response of fish population dynamics to mitigation activities in a large regulated river","interactions":[],"lastModifiedDate":"2017-11-08T10:13:07","indexId":"70192902","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Response of fish population dynamics to mitigation activities in a large regulated river","docAbstract":"<p><span>Extensive water development in large rivers has precipitated many negative ecological effects on native fish populations. Mitigation for such development often focuses on restoring biological integrity through remediation of the physical and chemical properties of regulated rivers. However, evaluating and defining the success of those programs can be difficult. We modeled the influence of mitigation-related environmental factors on growth and recruitment of two ecologically important native fish species (Largescale Sucker&nbsp;</span><i>Catostomus macrocheilus</i><span><span>&nbsp;</span>and Mountain Whitefish<span>&nbsp;</span></span><i>Prosopium williamsoni</i><span>) in the Kootenai River, Idaho. Artificial nutrient (phosphorus) addition best predicted the variability in annual growth of both species. Nutrient addition was positively related to Largescale Sucker growth but negatively related to Mountain Whitefish growth. The best model explained 82% of the annual variability in incremental growth for Largescale Suckers and 61% of the annual variability for Mountain Whitefish. Year-class strength of Largescale Suckers was not closely related to any of the environmental variables evaluated; however, year-class strength of Mountain Whitefish was closely associated with nutrient addition, discharge, and temperature. Most research has focused on biotic assemblages to evaluate the effects of mitigation activities on fishes, but there is an increased need to identify the influence of rehabilitation activities on fish population dynamics within those assemblages. Here, we demonstrate how fish growth can serve as an indicator of rehabilitation success in a highly regulated large river. Future fish restoration projects can likely benefit from a change in scope and from consideration of an evaluation framework involving the response of population rate functions to mitigation.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1308882","usgsCitation":"Watkins, C.J., Ross, T.J., Quist, M.C., and Hardy, R.S., 2017, Response of fish population dynamics to mitigation activities in a large regulated river: Transactions of the American Fisheries Society, v. 146, no. 4, p. 703-715, https://doi.org/10.1080/00028487.2017.1308882.","productDescription":"13 p.","startPage":"703","endPage":"715","ipdsId":"IP-079245","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.36581420898438,\n              48.59386747325061\n            ],\n            [\n              -116.04583740234374,\n              48.59386747325061\n            ],\n            [\n              -116.04583740234374,\n              48.73717255965176\n            ],\n            [\n              -116.36581420898438,\n              48.73717255965176\n            ],\n            [\n              -116.36581420898438,\n              48.59386747325061\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"5a0425b8e4b0dc0b45b4537c","contributors":{"authors":[{"text":"Watkins, Carson J.","contributorId":171708,"corporation":false,"usgs":false,"family":"Watkins","given":"Carson","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Tyler J.","contributorId":171777,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":717331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":720986,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192744,"text":"70192744 - 2017 - The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","interactions":[],"lastModifiedDate":"2017-11-13T14:19:34","indexId":"70192744","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators","docAbstract":"<p>We assessed &gt;&nbsp;100&nbsp;years of mercury (Hg) pollution recorded in the tree rings of Scots Pine near a Czech chlor-alkali plant operating since 1941. Hg concentrations in tree rings increased with the launching of plant operations and decreased when Hg emissions decreased in 1975 due to an upgrade in production technology. Similar to traditional bioindicators of pollution such as pine needles, bark and forest floor humus, Hg concentrations in Scots Pine boles decreased with distance from the plant. Mean Hg in pine bole in the 1940s ranged from 32.5&nbsp;μg/kg Hg at a distance of 0.5&nbsp;km from the plant to 5.4&nbsp;μg/kg at a distance of &gt;&nbsp;4.7&nbsp;km, where tree ring Hg was the same as at a reference site, and other bioindicators also suggest that the effect of the plant was no longer discernible. Tree ring Hg concentrations decreased by 8–29&nbsp;μg/kg since the 1940s at all study sites including the reference site. The lack of exact correspondence between changes at the plant and tree ring Hg indicated some smearing of the signal due to lateral translocation of Hg from sapwood to heartwood. Bole Hg concentrations reflected local and regional atmospheric Hg concentrations, and not Hg wet deposition.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.02.112","usgsCitation":"Navrátil, T., Simecek, M., Shanley, J.B., Rohovec, J., Hojdova, M., and Houska, J., 2017, The history of mercury pollution near the Spolana chlor-alkali plant (Neratovice, Czech Republic) as recorded by Scots pine tree rings and other bioindicators: Science of the Total Environment, v. 586, https://doi.org/10.1016/j.scitotenv.2017.02.112.","productDescription":"11 p.","startPage":"1192","ipdsId":"IP-083992","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":348713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","city":"Neratovice","otherGeospatial":"Spolana chlor-alkali plant","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              14.4580078125,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.20898843999949\n            ],\n            [\n              14.590530395507812,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.3077613106073\n            ],\n            [\n              14.4580078125,\n              50.20898843999949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"586","edition":"1182","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fbd6e4b06e28e9c236d7","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":716809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hojdova, Maria","contributorId":198685,"corporation":false,"usgs":false,"family":"Hojdova","given":"Maria","email":"","affiliations":[{"id":35739,"text":"Institute of Geology of CAS, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":716811,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192626,"text":"70192626 - 2017 - A dynamic spatio-temporal model for spatial data","interactions":[],"lastModifiedDate":"2018-01-03T15:57:04","indexId":"70192626","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"A dynamic spatio-temporal model for spatial data","docAbstract":"<p><span>Analyzing spatial data often requires modeling dependencies created by a dynamic spatio-temporal data generating process. In many applications, a generalized linear mixed model (GLMM) is used with a random effect to account for spatial dependence and to provide optimal spatial predictions. Location-specific covariates are often included as fixed effects in a GLMM and may be collinear with the spatial random effect, which can negatively affect inference. We propose a dynamic approach to account for spatial dependence that incorporates scientific knowledge of the spatio-temporal data generating process. Our approach relies on a dynamic spatio-temporal model that explicitly incorporates location-specific covariates. We illustrate our approach with a spatially varying ecological diffusion model implemented using a computationally efficient homogenization technique. We apply our model to understand individual-level and location-specific risk factors associated with chronic wasting disease in white-tailed deer from Wisconsin, USA and estimate the location the disease was first introduced. We compare our approach to several existing methods that are commonly used in spatial statistics. Our spatio-temporal approach resulted in a higher predictive accuracy when compared to methods based on optimal spatial prediction, obviated confounding among the spatially indexed covariates and the spatial random effect, and provided additional information that will be important for containing disease outbreaks.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2017.02.005","usgsCitation":"Hefley, T.J., Hooten, M., Hanks, E.M., Russell, R., and Walsh, D.P., 2017, A dynamic spatio-temporal model for spatial data: Spatial Statistics, v. 20, p. 206-220, https://doi.org/10.1016/j.spasta.2017.02.005.","productDescription":"15 p.","startPage":"206","endPage":"220","ipdsId":"IP-079545","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.spasta.2017.02.005","text":"Publisher Index Page"},{"id":348561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"20","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cee4b09af898c8612d","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":716578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Ephraim M.","contributorId":178093,"corporation":false,"usgs":false,"family":"Hanks","given":"Ephraim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Robin 0000-0001-8726-7303 rerussell@usgs.gov","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":178094,"corporation":false,"usgs":true,"family":"Russell","given":"Robin","email":"rerussell@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":716580,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191275,"text":"70191275 - 2017 - National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project","interactions":[],"lastModifiedDate":"2017-10-03T11:47:48","indexId":"70191275","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","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/NETN/NRR—2017/1437","title":"National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project","docAbstract":"<p><span>The National Park Service (NPS) Vegetation Mapping Inventory (VMI) Program classifies, describes, and maps existing vegetation of national park units for the NPS Natural Resource Inventory and Monitoring (I&amp;M) Program. The NPS VMI Program is managed by the NPS I&amp;M Division and provides baseline vegetation information to the NPS Natural Resource I&amp;M Program. The U.S. Geological Survey Upper Midwest Environmental Sciences Center, NatureServe, NPS Northeast Temperate Network, and NPS Appalachian National Scenic Trail (APPA) have completed vegetation classification and mapping of APPA for the NPS VMI Program.</span><br><br><span>Mappers, ecologists, and botanists collaborated to affirm vegetation types within the U.S. National Vegetation Classification (USNVC) of APPA and to determine how best to map the vegetation types by using aerial imagery. Analyses of data from 1,618 vegetation plots were used to describe USNVC associations of APPA. Data from 289 verification sites were collected to test the field key to vegetation associations and the application of vegetation associations to a sample set of map polygons. Data from 269 validation sites were collected to assess vegetation mapping prior to submitting the vegetation map for accuracy assessment (AA). Data from 3,265 AA sites were collected, of which 3,204 were used to test accuracy of the vegetation map layer. The collective of these datasets affirmed 280 USNVC associations for the APPA vegetation mapping project.</span><br><br><span>To map the vegetation and land cover of APPA, 169 map classes were developed. The 169 map classes consist of 150 that represent natural (including ruderal) vegetation types in the USNVC, 11 that represent cultural (agricultural and developed) vegetation types in the USNVC, 5 that represent natural landscapes with catastrophic disturbance or some other modification to natural vegetation preventing accurate classification in the USNVC, and 3 that represent nonvegetated water (non-USNVC). Features were interpreted from viewing 4-band digital aerial imagery using digital onscreen three-dimensional stereoscopic workflow systems in geographic information systems (GIS). (Digital aerial imagery was collected each fall during 2009–11 to capture leaf-phenology change of hardwood trees across the latitudinal range of APPA.) The interpreted data were digitally and spatially referenced, thus making the spatial-database layers usable in GIS. Polygon units were mapped to either a 0.5-hectare (ha) or 0.25-ha minimum mapping unit, depending on vegetation type or scenario; however, polygon units were mapped to 0.1 ha for alpine vegetation.</span><br><br><span>A geodatabase containing various feature-class layers and tables provide locations and support data to USNVC vegetation types (vegetation map layer), vegetation plots, verification sites, validation sites, AA sites, project boundary extent and zones, and aerial image centers and flight lines. The feature-class layer and related tables of the vegetation map layer provide 30,395 polygons of detailed attribute data covering 110,919.7 ha, with an average polygon size of 3.6 ha; the vegetation map coincides closely with the administrative boundary for APPA.</span><br><br><span>Summary reports generated from the vegetation map layer of the map classes representing USNVC natural (including ruderal) vegetation types apply to 28,242 polygons (92.9% of polygons) and cover 106,413.0 ha (95.9%) of the map extent for APPA. The map layer indicates APPA to be 92.4% forest and woodland (102,480.8 ha), 1.7% shrubland (1866.3 ha), and 1.8% herbaceous cover (2,065.9 ha). Map classes representing park-special vegetation (undefined in the USNVC) apply to 58 polygons (0.2% of polygons) and cover 404.3 ha (0.4%) of the map extent. Map classes representing USNVC cultural types apply to 1,777 polygons (5.8% of polygons) and cover 2,516.3 ha (2.3%) of the map extent. Map classes representing nonvegetated water (non-USNVC) apply to 332 polygons (1.1% of polygons) and cover 1,586.2 ha (1.4%) of the map extent.</span></p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Hop, K.D., Strassman, A.C., Hall, M., Menard, S., Largay, E., Sattler, S., Hoy, E.E., Ruhser, J., Hlavacek, E., and Dieck, J., 2017, National Park Service Vegetation Mapping Inventory Program: Appalachian National Scenic Trail vegetation mapping project: Natural Resource Report NPS/NETN/NRR—2017/1437, 1620 p.","productDescription":"1620 p.","ipdsId":"IP-082135","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":346348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346344,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2240273"}],"country":"United States","otherGeospatial":"Appalachian National Scenic Trail","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d4a1a9e4b05fe04cc4e0fb","contributors":{"authors":[{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strassman, Andrew C. 0000-0002-9792-7181 astrassman@usgs.gov","orcid":"https://orcid.org/0000-0002-9792-7181","contributorId":4575,"corporation":false,"usgs":true,"family":"Strassman","given":"Andrew","email":"astrassman@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Mark","contributorId":196864,"corporation":false,"usgs":false,"family":"Hall","given":"Mark","email":"","affiliations":[],"preferred":false,"id":711820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menard, Shannon","contributorId":167864,"corporation":false,"usgs":false,"family":"Menard","given":"Shannon","email":"","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":711821,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Largay, Ery","contributorId":196865,"corporation":false,"usgs":false,"family":"Largay","given":"Ery","email":"","affiliations":[],"preferred":false,"id":711822,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sattler, Stephanie 0000-0003-4417-2480 ssattler@usgs.gov","orcid":"https://orcid.org/0000-0003-4417-2480","contributorId":191016,"corporation":false,"usgs":true,"family":"Sattler","given":"Stephanie","email":"ssattler@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711823,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711824,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruhser, Janis 0000-0001-9987-2578 jruhser@usgs.gov","orcid":"https://orcid.org/0000-0001-9987-2578","contributorId":149646,"corporation":false,"usgs":true,"family":"Ruhser","given":"Janis","email":"jruhser@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711825,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dieck, Jennifer 0000-0002-4388-4534 jdieck@usgs.gov","orcid":"https://orcid.org/0000-0002-4388-4534","contributorId":149647,"corporation":false,"usgs":true,"family":"Dieck","given":"Jennifer","email":"jdieck@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711827,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70074784,"text":"sim2932A - 2017 - Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii","interactions":[],"lastModifiedDate":"2024-05-23T22:01:59.158496","indexId":"sim2932A","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2932-A","displayTitle":"Geologic Map of the Northeast Flank of Mauna Loa Volcano, Island of Hawai'i, Hawaii","title":"Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii","docAbstract":"<h1>Summary</h1><p>Mauna Loa, the largest volcano on Earth, has erupted 33 times since written descriptions became available in 1832. Some eruptions were preceded by only brief seismic unrest, while others followed several months to a year of increased seismicity.</p><p>The majority of the eruptions of Mauna Loa began in the summit area (&gt;12,000-ft elevation; Lockwood and Lipman, 1987); yet the Northeast Rift Zone (NERZ) was the source of eight flank eruptions since 1843 (table 1). This zone extends from the 13,680-ft-high summit towards Hilo (population ~60,000), the second largest city in the State of Hawaii. Although most of the source vents are farther than 30 km away, the 1880 flow from one of the vents extends into Hilo, nearly reaching Hilo Bay. The city is built entirely on flows erupted from the NERZ, most older than that erupted in 1843.</p><p>Once underway, Mauna Loa's eruptions can produce lava flows that reach the sea in less than 24 hours, severing roads and utilities in their path. For example, lava flows erupted from the Southwest Rift Zone (SWRZ) in 1950 advanced at an average rate of 9.3 km per hour, and all three lobes reached the ocean within approximately 24 hours (Finch and Macdonald, 1953). The flows near the eruptive vents must have traveled even faster.</p><p>In terms of eruption frequency, pre-eruption warning, and rapid flow emplacement, Mauna Loa poses an enormous volcanic-hazard threat to the Island of Hawai‘i. By documenting past activity and by alerting the public and local government officials of our findings, we can anticipate the volcanic hazards and substantially mitigate the risks associated with an eruption of this massive edifice.</p><p>From the geologic record, we can deduce several generalized facts about the geologic history of the NERZ. The middle to the uppermost section of the rift zone were more active in the past 4,000 years than the lower part, perhaps due to buttressing of the lower east rift zone by Mauna Kea and Kīlauea volcanoes. The historical flows that erupted on the north flank of the rift zone, which is more vulnerable to inundation, advanced toward Hilo. Lockwood (1990) noted that the vents of historical activity are migrating to the south. The volcano appears to have a self-regulating mechanism that evenly distributes long-term activity across its flanks. The geologic record also supports this notion; the time prior to the historical period (Age Group 1, orange units, pre-A.D. 1843–1,000 yr B.P.; see map sheet 2) is dominated by activity on the south side of the NERZ.</p><p>The NERZ trends N. 65° E. and is about 40 km long and 2–4 km wide, narrowing at the summit caldera. It becomes diffuse (6–7 km wide) at its down-rift terminus, at the approximately 3,400-ft elevation. Its constructional crest is marked by low spatter ramparts and by spatter cones as high as 60 m. Subparallel eruptive fissures and ground cracks cut vent deposits and flows in and near the rift crest. Lava typically flows to the north, east, or south, depending on vent location relative to the rift crest.</p><p>Encompassing 1,140 km<sup>2</sup> of the northeast flank of Mauna Loa from the 10,880-ft elevation to sea level, the map covers the area from Hilo to Volcano on the east and includes the rift zone from Puu Ulaula quadrangle in the southwest to Hilo in the northeast. The distribution of 105 eruptive units (flows)—separated into 15 age groups ranging from more than 30,000 years B.P. to A.D. 1984—are shown, as well as the relations of volcanic and surficial sedimentary deposits. This map incorporates previously reported work published in generalized small-scale maps (Lockwood and Lipman, 1987; Buchanan-Banks, 1993; Lockwood, 1995; and Wolfe and Morris, 1996).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim2932A","usgsCitation":"Trusdell, F.A., and Lockwood, J.P., 2017, Geologic map of the northeast flank of Mauna Loa volcano, Island of Hawai'i, Hawaii: U.S. Geological Survey Scientific Investigations Map 2932–A, pamphlet 25 p., 2 sheets, scale 1:50,000, https://doi.org/10.3133/sim2932A.","productDescription":"Pamphlet: ii, 25 p.; 2 Sheets: 54.66 x 29.17 inches and 46.11 x 28.85 inches; Data Table; Metadata; Read Me; Geospatial Data","ipdsId":"IP-054350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":429219,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932E","text":"Scientific Investigations Map 2932-E","linkHelpText":"- Geologic Map of the Northwest Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374329,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932C","text":"Scientific Investigations Map 2932-C","linkHelpText":"- Geologic Map of the Southern Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":374328,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim2932B","text":"Scientific Investigations Map 2932-B","linkHelpText":"- Geologic Map of the Central-Southeast Flank of Mauna Loa Volcano, Island of Hawai‘i, Hawaii"},{"id":340642,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geospatialdata.zip","text":"Geospatial data","size":"6.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Geospatial data"},{"id":340641,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_geochemical_data_table_2017.xlsx","text":"Geochemical data table 2017","size":"40 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIM 2932-A Geochemical data table 2017"},{"id":340640,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_metadata.zip","size":"217 KB","linkFileType":{"id":6,"text":"zip"},"description":"SIM 2932-A Metadata"},{"id":340638,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet1.pdf","text":"Sheet 1","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 1"},{"id":340637,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_pamphlet.pdf","text":"Pamphlet","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Pamphlet"},{"id":340636,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/2932/a/coverthb.jpg"},{"id":340643,"rank":8,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_readme.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 2932-A Readme"},{"id":340639,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/2932/a/sim2932a_sheet2.pdf","text":"Sheet 2","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 2932-A Sheet 2"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawai'i, Mauna Loa Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.5,\n              19.5\n            ],\n            [\n              -154.75,\n              19.5\n            ],\n            [\n              -154.75,\n              19.75\n            ],\n            [\n              -155.5,\n              19.75\n            ],\n            [\n              -155.5,\n              19.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/observatory/contactHVO.html\">Contact HVO</a><br><a href=\"https://hvo.wr.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://hvo.wr.usgs.gov/\">Volcano Science Center, Hawaiian Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a></p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-05-01","noUsgsAuthors":false,"publicationDate":"2017-05-01","publicationStatus":"PW","scienceBaseUri":"59084923e4b0fc4e448ffd42","contributors":{"authors":[{"text":"Trusdell, Frank A. 0000-0002-0681-0528 trusdell@usgs.gov","orcid":"https://orcid.org/0000-0002-0681-0528","contributorId":754,"corporation":false,"usgs":true,"family":"Trusdell","given":"Frank A.","email":"trusdell@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockwood, John P. 0000-0002-6562-0222","orcid":"https://orcid.org/0000-0002-6562-0222","contributorId":30976,"corporation":false,"usgs":true,"family":"Lockwood","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":518516,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192035,"text":"70192035 - 2017 - Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","interactions":[],"lastModifiedDate":"2017-10-24T14:13:06","indexId":"70192035","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake","docAbstract":"<p><span>In November 2011, three&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;≥&nbsp;4.8 earthquakes and thousands of aftershocks occurred along the structurally complex Wilzetta fault system near Prague, Oklahoma. Previous studies suggest that wastewater injection induced a<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>4.8 foreshock, which subsequently triggered a<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>5.7 mainshock. We examine source properties of aftershocks with a standard Brune-type spectral model and jointly solve for seismic moment (</span><i>M</i><sub>0</sub><span>), corner frequency (</span><i>f</i><sub>0</sub><span>), and kappa (</span><i>κ</i><span>) with an iterative Gauss-Newton global downhill optimization method. We examine 934 earthquakes with initial moment magnitudes (</span><i>M</i><sub><i>w</i></sub><span>) between 0.33 and 4.99 based on the pseudospectral acceleration and recover reasonable<span>&nbsp;</span></span><i>M</i><sub>0</sub><span>,<span>&nbsp;</span></span><i>f</i><sub>0</sub><span>, and<span>&nbsp;</span></span><i>κ</i><span><span>&nbsp;</span>for 87 earthquakes with<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span><span>&nbsp;</span>1.83–3.51 determined by spectral fit. We use<span>&nbsp;</span></span><i>M</i><sub>0</sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>f</i><sub>0</sub><span><span>&nbsp;</span>to estimate the Brune-type stress drop, assuming a circular fault and shear-wave velocity at the hypocentral depth of the event. Our observations suggest that stress drops range between 0.005 and 4.8&nbsp;MPa with a median of 0.2&nbsp;MPa (0.03–26.4&nbsp;MPa with a median of 1.1&nbsp;MPa for Madariaga-type), which is significantly lower than typical eastern United States intraplate events (&gt;10&nbsp;MPa). We find that stress drops correlate weakly with hypocentral depth and magnitude. Additionally, we find the stress drops increase with time after the mainshock, although temporal variation in stress drop is difficult to separate from spatial heterogeneity and changing event locations. The overall low median stress drop suggests that the fault segments may have been primed to fail as a result of high pore fluid pressures, likely related to nearby wastewater injection.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013153","usgsCitation":"Sumy, D.F., Neighbors, C.J., Cochran, E.S., and Keranen, K.M., 2017, Low stress drops observed for aftershocks of the 2011 Mw 5.7 Prague, Oklahoma, earthquake: Journal of Geophysical Research B: Solid Earth, v. 122, no. 5, p. 3813-3834, https://doi.org/10.1002/2016JB013153.","productDescription":"22 p.","startPage":"3813","endPage":"3834","ipdsId":"IP-075342","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013153","text":"Publisher Index Page"},{"id":347249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.5,\n              34.5\n            ],\n            [\n              -95.5,\n              34.5\n            ],\n            [\n              -95.5,\n              36.5\n            ],\n            [\n              -97.5,\n              36.5\n            ],\n            [\n              -97.5,\n              34.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-21","publicationStatus":"PW","scienceBaseUri":"59f05122e4b0220bbd9a1d9a","contributors":{"authors":[{"text":"Sumy, Danielle F.","contributorId":108025,"corporation":false,"usgs":true,"family":"Sumy","given":"Danielle","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":713942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neighbors, Corrie J.","contributorId":197629,"corporation":false,"usgs":false,"family":"Neighbors","given":"Corrie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":713943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":713944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191848,"text":"70191848 - 2017 - Down to Earth with an electric hazard from space","interactions":[],"lastModifiedDate":"2017-10-25T11:31:35","indexId":"70191848","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Down to Earth with an electric hazard from space","docAbstract":"<p><span>In reaching across traditional disciplinary boundaries, solid-Earth geophysicists and space physicists are forging new collaborations to map magnetic-storm hazards for electric-power grids. Future progress in evaluation storm time geoelectric hazards will come primarily through monitoring, surveys, and modeling of related data.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017SW001622","usgsCitation":"Love, J.J., Bedrosian, P.A., and Schultz, A., 2017, Down to Earth with an electric hazard from space: Space Weather, v. 15, no. 5, p. 658-662, https://doi.org/10.1002/2017SW001622.","productDescription":"5 p.","startPage":"658","endPage":"662","ipdsId":"IP-086460","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469878,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017sw001622","text":"Publisher Index Page"},{"id":347337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-12","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f56","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":713371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Adam","contributorId":197380,"corporation":false,"usgs":false,"family":"Schultz","given":"Adam","affiliations":[],"preferred":false,"id":713372,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190697,"text":"70190697 - 2017 - Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016","interactions":[],"lastModifiedDate":"2018-03-23T14:01:29","indexId":"70190697","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3697,"text":"Virology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Background</h3><p id=\"Par1\" class=\"Para\">On November 20, 2016 two novel strains of H5N6 highly pathogenic avian influenza virus (HPAIVs) were isolated from three whooper swans (<i class=\"EmphasisTypeItalic\">Cygnus cygnus</i>) at Gangjin Bay in South Jeolla province, South Korea. Identification of HPAIVs in wild birds is significant as there is a potential risk of transmission of these viruses to poultry and humans.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Results</h3><p id=\"Par2\" class=\"Para\">Phylogenetic analysis revealed that Gangjin H5N6 viruses classified into Asian H5 clade 2.3.4.4 lineage and were distinguishable from H5N8 and H5N1 HPAIVs previously isolated in Korea. With the exception of the polymerase acidic (PA) gene, the viruses were most closely related to A/duck/Guangdong/01.01SZSGXJK005-Y/2016 (H5N6) (98.90 ~ 99.74%). The PA genes of the two novel Gangjin H5N6 viruses were most closely related to AIV isolates previously characterized from Korea, A/hooded crane/Korea/1176/2016 (H1N1) (99.16%) and A/environment/Korea/W133/2006 (H7N7) (98.65%). The lack of more recent viruses to A/environment/Korea/W133/2006 (H7N7) indicates the need for analysis of recent wild bird AIVs isolated in Korea because they might provide further clues as to the origin of these novel reassortant H5N6 viruses.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p id=\"Par3\" class=\"Para\">Although research on the origins and epidemiology of these infections is ongoing, the most likely route of infection for the whooper swans was through direct or indirect contact with reassortant viruses shed by migratory wild birds in Korea. As H5N6 HPAIVs can potentially be transmitted to poultry and humans, continuous monitoring of AIVs among wild birds will help to mitigate this risk.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12985-017-0731-7","usgsCitation":"Jeong, J., Woo, C., Ip, S., An, I., Kim, Y., Lee, K., Jo, S., Son, K., Lee, S., Oem, J., Wang, S., Kim, Y., Shin, J., Sleeman, J.M., and Jheong, W., 2017, Identification of two novel reassortant avian influenza a (H5N6) viruses in whooper swans in Korea, 2016: Virology Journal, v. 14, Article 60; 4 p., https://doi.org/10.1186/s12985-017-0731-7.","productDescription":"Article 60; 4 p.","ipdsId":"IP-082419","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12985-017-0731-7","text":"Publisher Index Page"},{"id":345673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","volume":"14","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aee2","contributors":{"authors":[{"text":"Jeong, Jipseol","contributorId":196383,"corporation":false,"usgs":false,"family":"Jeong","given":"Jipseol","email":"","affiliations":[],"preferred":false,"id":710231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Chanjin","contributorId":196384,"corporation":false,"usgs":false,"family":"Woo","given":"Chanjin","email":"","affiliations":[],"preferred":false,"id":710232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":710195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"An, Injung","contributorId":196385,"corporation":false,"usgs":false,"family":"An","given":"Injung","email":"","affiliations":[],"preferred":false,"id":710233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kim, Youngsik","contributorId":196386,"corporation":false,"usgs":false,"family":"Kim","given":"Youngsik","email":"","affiliations":[],"preferred":false,"id":710234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Kwanghee","contributorId":196387,"corporation":false,"usgs":false,"family":"Lee","given":"Kwanghee","email":"","affiliations":[],"preferred":false,"id":710235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jo, Seong-Deok","contributorId":196389,"corporation":false,"usgs":false,"family":"Jo","given":"Seong-Deok","email":"","affiliations":[],"preferred":false,"id":710236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Son, Kidong","contributorId":196391,"corporation":false,"usgs":false,"family":"Son","given":"Kidong","email":"","affiliations":[],"preferred":false,"id":710237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, Saemi","contributorId":196392,"corporation":false,"usgs":false,"family":"Lee","given":"Saemi","email":"","affiliations":[],"preferred":false,"id":710238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Oem, Jae-Ku","contributorId":196393,"corporation":false,"usgs":false,"family":"Oem","given":"Jae-Ku","email":"","affiliations":[],"preferred":false,"id":710239,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wang, Seung-Jun","contributorId":196394,"corporation":false,"usgs":false,"family":"Wang","given":"Seung-Jun","email":"","affiliations":[],"preferred":false,"id":710240,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kim, Yongkwan","contributorId":196402,"corporation":false,"usgs":false,"family":"Kim","given":"Yongkwan","email":"","affiliations":[],"preferred":false,"id":710241,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Shin, Jeonghwa","contributorId":196395,"corporation":false,"usgs":false,"family":"Shin","given":"Jeonghwa","email":"","affiliations":[],"preferred":false,"id":710242,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":710243,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Jheong, Weonhwa","contributorId":196397,"corporation":false,"usgs":false,"family":"Jheong","given":"Weonhwa","email":"","affiliations":[],"preferred":false,"id":710244,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70190561,"text":"70190561 - 2017 - Drawing a line in the sand: Effectiveness of off-highway vehicle management in California's Sonoran desert","interactions":[],"lastModifiedDate":"2017-09-07T12:26:55","indexId":"70190561","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Drawing a line in the sand: Effectiveness of off-highway vehicle management in California's Sonoran desert","docAbstract":"<p><span>Public land policies manage multiple uses while striving to protect vulnerable plant and wildlife habitats from degradation; yet the effectiveness of such policies are infrequently evaluated, particularly for remote landscapes that are difficult to monitor. We assessed the use and impacts of recreational vehicles on Mojave Desert washes (intermittent streams) in the Chemehuevi Desert Wildlife Management Area (DWMA) of southern California. Wash zones designated as open and closed to off-highway vehicle (OHV) activity were designed in part to protect Mojave desert tortoise (</span><i>Gopherus agassizii</i><span>) habitat while allowing recreation in designated areas. OHV tracks were monitored in washes located near access roads during winter and early spring holidays – when recreation is typically high – and at randomly dispersed locations away from roads. Washes near access roads had fewer vehicle tracks within closed than open zones; further away from roads, OHV tracks were infrequent and their occurrence was not different between wash designations. Washes were in better condition in closed zones following major holidays as indicated by less vegetation damage, presence of trash, and wash bank damage. Furthermore, the frequency of washes with live tortoises and their sign was marginally greater in closed than open wash zones. Collectively, these results suggest that low impacts to habitats in designated closed wash zones reflect public compliance with federal OHV policy and regulations in the Chemehuevi DWMA during our study. Future monitoring to contrast wash use and impacts during other seasons as well as in other DWMAs will elucidate spatial and temporal patterns of recreation in these important conservation areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.02.033","usgsCitation":"Custer, N., Defalco, L., Nussear, K.E., and Esque, T., 2017, Drawing a line in the sand: Effectiveness of off-highway vehicle management in California's Sonoran desert: Journal of Environmental Management, v. 193, p. 448-457, https://doi.org/10.1016/j.jenvman.2017.02.033.","productDescription":"10 p.","startPage":"448","endPage":"457","ipdsId":"IP-053017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469885,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2017.02.033","text":"Publisher Index Page"},{"id":345546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sonoran Desert","volume":"193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b25b00e4b020cdf7db1fbb","contributors":{"authors":[{"text":"Custer, Nathan ncuster@usgs.gov","contributorId":5561,"corporation":false,"usgs":true,"family":"Custer","given":"Nathan","email":"ncuster@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":709811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defalco, Lesley A. ldefalco@usgs.gov","contributorId":138961,"corporation":false,"usgs":true,"family":"Defalco","given":"Lesley A.","email":"ldefalco@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":709812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":709813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":138964,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":709814,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70190747,"text":"70190747 - 2017 - Temporal variability of foliar nutrients: responses to nitrogen deposition and prescribed fire in a temperate steppe","interactions":[],"lastModifiedDate":"2017-09-13T15:34:18","indexId":"70190747","displayToPublicDate":"2017-05-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variability of foliar nutrients: responses to nitrogen deposition and prescribed fire in a temperate steppe","docAbstract":"<p><span>Plant nutrient concentrations and stoichiometry drive fundamental ecosystem processes, with important implications for primary production, diversity, and ecosystem sustainability. While a range of evidence exists regarding how plant nutrients vary across spatial scales, our understanding of their temporal variation remains less well understood. Nevertheless, we know nutrients regulate plant function across time, and that important temporal controls could strongly interact with environmental change. Here, we report results from a 3-year assessment of inter-annual changes of foliar nitrogen (N) and phosphorus (P) concentrations and stoichiometry in three dominant grasses in response to N deposition and prescribed fire in a temperate steppe of northern China. Foliar N and P concentrations and their ratios varied greatly among years, with this temporal variation strongly related to inter-annual variation in precipitation. Nitrogen deposition significantly increased foliar N concentrations and N:P ratios in all species, while fire significantly altered foliar N and P concentrations but had no significant impacts on N:P ratios. Generally, N addition enhanced the temporal stability of foliar N and decreased that of foliar P and of N:P ratios. Our results indicate that plant nutrient status and response to environmental change are temporally dynamic and that there are differential effects on the interactions between environmental change drivers and timing for different nutrients. These responses have important implications for consideration of global change effects on plant community structure and function, management strategies, and the modeling of biogeochemical cycles under global change scenarios.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-017-0333-x","usgsCitation":"Lu, X., Reed, S.C., Hou, S., Hu, Y., Wei, H., Lu, F., Cui, Q., and Han, X., 2017, Temporal variability of foliar nutrients: responses to nitrogen deposition and prescribed fire in a temperate steppe: Biogeochemistry, v. 133, no. 3, p. 295-305, https://doi.org/10.1007/s10533-017-0333-x.","productDescription":"11 p.","startPage":"295","endPage":"305","ipdsId":"IP-086239","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":345703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-18","publicationStatus":"PW","scienceBaseUri":"59ba43b9e4b091459a5629bd","contributors":{"authors":[{"text":"Lu, Xiao-Tao","contributorId":196421,"corporation":false,"usgs":false,"family":"Lu","given":"Xiao-Tao","email":"","affiliations":[],"preferred":false,"id":710307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":710306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hou, Shuang-Li","contributorId":196422,"corporation":false,"usgs":false,"family":"Hou","given":"Shuang-Li","email":"","affiliations":[],"preferred":false,"id":710308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Yan-Yu","contributorId":196423,"corporation":false,"usgs":false,"family":"Hu","given":"Yan-Yu","email":"","affiliations":[],"preferred":false,"id":710309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wei, Hai-Wei","contributorId":196424,"corporation":false,"usgs":false,"family":"Wei","given":"Hai-Wei","email":"","affiliations":[],"preferred":false,"id":710310,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Fu-Mei","contributorId":196425,"corporation":false,"usgs":false,"family":"Lu","given":"Fu-Mei","email":"","affiliations":[],"preferred":false,"id":710311,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cui, Qiang","contributorId":196426,"corporation":false,"usgs":false,"family":"Cui","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":710312,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Han, Xing Guo","contributorId":196427,"corporation":false,"usgs":false,"family":"Han","given":"Xing Guo","affiliations":[],"preferred":false,"id":710313,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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