{"pageNumber":"1058","pageRowStart":"26425","pageSize":"25","recordCount":184917,"records":[{"id":70178626,"text":"70178626 - 2016 - Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2017-04-27T10:16:08","indexId":"70178626","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico","docAbstract":"<p><span>Coastal ecosystem management typically relies on subjective interpretation of scientific understanding, with limited methods for explicitly incorporating process knowledge into decisions that must meet multiple, potentially competing stakeholder objectives. Conversely, the scientific community lacks methods for identifying which advancements in system understanding would have the highest value to decision-makers. A case in point is barrier island restoration, where decision-makers lack tools to objectively use system understanding to determine how to optimally use limited contingency funds when project construction in this dynamic environment does not proceed as expected. In this study, collaborative structured decision-making (SDM) was evaluated as an approach to incorporate process understanding into mid-construction decisions and to identify priority gaps in knowledge from a management perspective. The focus was a barrier island restoration project at Ship Island, Mississippi, where sand will be used to close an extensive breach that currently divides the island. SDM was used to estimate damage that may occur during construction, and guide repair decisions within the confines of limited availability of sand and funding to minimize adverse impacts to project objectives. Sand was identified as more limiting than funds, and unrepaired major breaching would negatively impact objectives. Repairing minor damage immediately was determined to be generally more cost effective (depending on the longshore extent) than risking more damage to a weakened project. Key gaps in process-understanding relative to project management were identified as the relationship of island width to breach formation; the amounts of sand lost during breaching, lowering, or narrowing of the berm; the potential for minor breaches to self-heal versus developing into a major breach; and the relationship between upstream nourishment and resiliency of the berm to storms. This application is a prototype for using structured decision-making in support of engineering projects in dynamic environments where mid-construction decisions may arise; highlights uncertainty about barrier island physical processes that limit the ability to make robust decisions; and demonstrates the potential for direct incorporation of process-based models in a formal adaptive management decision framework.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.08.078","usgsCitation":"Dalyander, P.S., Meyers, M.B., Mattsson, B., Steyer, G., Godsey, E., McDonald, J., Byrnes, M.R., and Ford, M., 2016, Use of structured decision-making to explicitly incorporate environmental process understanding in management of coastal restoration projects: Case study on barrier islands of the northern Gulf of Mexico: Journal of Environmental Management, v. 183, no. 3, p. 497-509, https://doi.org/10.1016/j.jenvman.2016.08.078.","productDescription":"13 p.","startPage":"497","endPage":"509","ipdsId":"IP-068842","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.08.078","text":"Publisher Index Page"},{"id":331388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"East Ship Island, West Ship Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.000244140625,\n              30.18994745521063\n            ],\n            [\n              -89.000244140625,\n              30.267370168467806\n            ],\n            [\n              -88.85639190673828,\n              30.267370168467806\n            ],\n            [\n              -88.85639190673828,\n              30.18994745521063\n            ],\n            [\n              -89.000244140625,\n              30.18994745521063\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"183","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e507373","contributors":{"authors":[{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyers, Michelle B. 0000-0002-5937-1012 mmeyers@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-1012","contributorId":5608,"corporation":false,"usgs":true,"family":"Meyers","given":"Michelle","email":"mmeyers@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mattsson, Brady","contributorId":59692,"corporation":false,"usgs":true,"family":"Mattsson","given":"Brady","affiliations":[],"preferred":false,"id":654609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":27797,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[],"preferred":false,"id":654610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godsey, Elizabeth","contributorId":177095,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","affiliations":[],"preferred":false,"id":654611,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonald, Justin","contributorId":171407,"corporation":false,"usgs":false,"family":"McDonald","given":"Justin","email":"","affiliations":[{"id":26898,"text":"University of Auckland, New Zealand","active":true,"usgs":false}],"preferred":false,"id":654612,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Byrnes, Mark R.","contributorId":102504,"corporation":false,"usgs":true,"family":"Byrnes","given":"Mark","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":654613,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ford, Mark","contributorId":177097,"corporation":false,"usgs":false,"family":"Ford","given":"Mark","email":"","affiliations":[],"preferred":false,"id":654614,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179203,"text":"70179203 - 2016 - Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","interactions":[],"lastModifiedDate":"2017-10-30T09:41:02","indexId":"70179203","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat selection by Forster's Terns (<i>Sterna forsteri</i>) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","title":"Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds","docAbstract":"<p><span>The highly urbanized San Francisco Bay Estuary, California, USA, is currently undergoing large-scale habitat restoration, and several thousand hectares of former salt evaporation ponds are being converted to tidal marsh. To identify potential effects of this habitat restoration on breeding waterbirds, habitat selection of radiotagged Forster's Terns (</span><i>Sterna forsteri</i><span>) was examined at multiple spatial scales during the pre-breeding and breeding seasons of 2005 and 2006. At each spatial scale, habitat selection ratios were calculated by season, year, and sex. Forster's Terns selected salt pond habitats at most spatial scales and demonstrated the importance of salt ponds for foraging and roosting. Salinity influenced the types of salt pond habitats that were selected. Specifically, Forster's Terns strongly selected lower salinity salt ponds (0.5–30 g/L) and generally avoided higher salinity salt ponds (≥31 g/L). Forster's Terns typically used tidal marsh and managed marsh habitats in proportion to their availability, avoided upland and tidal flat habitats, and strongly avoided open bay habitats. Salt ponds provide important habitat for breeding waterbirds, and restoration efforts to convert former salt ponds to tidal marsh may reduce the availability of preferred breeding and foraging areas.</span></p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0407","usgsCitation":"Bluso-Demers, J., Ackerman, J., Takekawa, J.Y., and Peterson, S.H., 2016, Habitat selection by Forster's Terns (Sterna forsteri) at multiple spatial scales in an urbanized estuary: The importance of salt ponds: Waterbirds, v. 39, no. 4, p. 375-387, https://doi.org/10.1675/063.039.0407.","productDescription":"13 p.","startPage":"375","endPage":"387","ipdsId":"IP-054152","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.7886962890625,\n              37.35269280367274\n            ],\n            [\n              -122.7886962890625,\n              38.406253794852674\n            ],\n            [\n              -121.2506103515625,\n              38.406253794852674\n            ],\n            [\n              -121.2506103515625,\n              37.35269280367274\n            ],\n            [\n              -122.7886962890625,\n              37.35269280367274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2ebe4b01224f329b970","contributors":{"authors":[{"text":"Bluso-Demers, Jill","contributorId":177613,"corporation":false,"usgs":false,"family":"Bluso-Demers","given":"Jill","affiliations":[],"preferred":false,"id":656377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656379,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177078,"text":"70177078 - 2016 - Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault","interactions":[],"lastModifiedDate":"2017-04-13T10:06:29","indexId":"70177078","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault","docAbstract":"Evidence for the 340-km-long Fort Tejon earthquake of 1857 is found at each of the high-resolution paleoseismic sites on the southern San Andreas Fault. Using trenching data from these sites, we find that the assemblage of dated paleoearthquakes recurs quasi-periodically (coefficient of variation, COV, of 0.6, Biasi, 2013) and requires ~80% of ruptures were shorter than the 1857 rupture with an average of Mw7.5. In contrast, paleorupture lengths reconstructed from preserved geomorphic offsets extracted from lidar are longer and have repeating displacements that are quite regular (COV=0.2; Zielke et al., 2015). Direct comparison shows that paleoruptures determined from geomorphic offset populations cannot be reconciled with dated paleoearthquakes. Our study concludes that the 1857 rupture was larger than average, average displacements must be < 5 m, and suggests that fault geometry may play a role in fault behavior.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 7th PATA Days, 2016","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Proceedings of the 7th International INQUA Workshop on Paleoseismology, Active Tectonics and Archaeoseismology (“PATA Days”) ","conferenceDate":"May 30- June 3, 2016","conferenceLocation":"Crestone, CO","language":"English","publisher":"Crestone Science Center","usgsCitation":"Scharer, K.M., Weldon, R.J., and Bemis, S., 2016, Testing geomorphology-derived rupture histories against the paleoseismic record of the southern San Andreas fault, <i>in</i> Proceedings of the 7th PATA Days, 2016, Crestone, CO, May 30- June 3, 2016, p. 216-219.","productDescription":"4 p.","startPage":"216","endPage":"219","ipdsId":"IP-074572","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":339664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329683,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthquakegeology.com/index.php?page=publications&s=6"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f08e60e4b06911a29fa84e","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496 kscharer@usgs.gov","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":3385,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine","email":"kscharer@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":651229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldon, Ray J.","contributorId":175463,"corporation":false,"usgs":false,"family":"Weldon","given":"Ray","email":"","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":651230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":651231,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179666,"text":"70179666 - 2016 - Geology of the eastern Piedmont in Virginia","interactions":[],"lastModifiedDate":"2018-02-12T13:14:40","indexId":"70179666","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5623,"text":"Virginia Museum of Natural History Special Publication","active":true,"publicationSubtype":{"id":24}},"title":"Geology of the eastern Piedmont in Virginia","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geology of Virginia (Virginia Museum of Natural History Special Publication 18)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Virginia Museum of Natural History","publisherLocation":"Martinsville, VA","isbn":"1-884549-40-3","usgsCitation":"Horton, J.W., Owens, B.E., Hackley, P.C., Burton, W.C., Sacks, P.E., 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Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":173694,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":658156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Owens, Brent E.","contributorId":178190,"corporation":false,"usgs":false,"family":"Owens","given":"Brent","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":658158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":658155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burton, William C. 0000-0001-7519-5787 bburton@usgs.gov","orcid":"https://orcid.org/0000-0001-7519-5787","contributorId":1293,"corporation":false,"usgs":true,"family":"Burton","given":"William","email":"bburton@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":658154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sacks, Paul E.","contributorId":178191,"corporation":false,"usgs":false,"family":"Sacks","given":"Paul","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":658159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hibbard, James P.","contributorId":178189,"corporation":false,"usgs":false,"family":"Hibbard","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658157,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192973,"text":"70192973 - 2016 - Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems","interactions":[],"lastModifiedDate":"2017-11-07T12:23:53","indexId":"70192973","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems","docAbstract":"<p><span>Ecosystems can show sudden and persistent changes in state despite only incremental changes in drivers. Such critical transitions are difficult to predict, because the state of the system often shows little change before the transition. Early-warning indicators (EWIs) are hypothesized to signal the loss of system resilience and have been shown to precede critical transitions in theoretical models, paleo-climate time series, and in laboratory as well as whole lake experiments. The generalizability of EWIs for detecting critical transitions in empirical time series of natural aquatic ecosystems remains largely untested, however. Here we assessed four commonly used EWIs on long-term datasets of five freshwater ecosystems that have experienced sudden, persistent transitions and for which the relevant ecological mechanisms and drivers are well understood. These case studies were categorized by three mechanisms that can generate critical transitions between alternative states: competition, trophic cascade, and intraguild predation. Although EWIs could be detected in most of the case studies, agreement among the four indicators was low. In some cases, EWIs were detected considerably ahead of the transition. Nonetheless, our results show that at present, EWIs do not provide reliable and consistent signals of impending critical transitions despite using some of the best routinely monitored freshwater ecosystems. Our analysis strongly suggests that a priori knowledge of the underlying mechanisms driving ecosystem transitions is necessary to identify relevant state variables for successfully monitoring EWIs.</span></p>","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1608242113","usgsCitation":"Gsell, A.S., Scharfenberger, U., Ozkundakci, D., Walters, A.W., Hansson, L., Janssen, A., Noges, P., Reid, P., Schindler, D., van Donk, E., Dakos, V., and Adrian, R., 2016, Evaluating early-warning indicators of critical transitions in natural aquatic ecosystems: Proceedings of the National Academy of Sciences of the United States of America, v. 113, no. 50, p. E8089-E8095, https://doi.org/10.1073/pnas.1608242113.","productDescription":"7 p.","startPage":"E8089","endPage":"E8095","ipdsId":"IP-061164","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470438,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1608242113","text":"External Repository"},{"id":348371,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","issue":"50","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-22","publicationStatus":"PW","scienceBaseUri":"5a07e98de4b09af898c8cc22","contributors":{"authors":[{"text":"Gsell, Alena Sonia","contributorId":198873,"corporation":false,"usgs":false,"family":"Gsell","given":"Alena","email":"","middleInitial":"Sonia","affiliations":[],"preferred":false,"id":717494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scharfenberger, Ulrike","contributorId":198874,"corporation":false,"usgs":false,"family":"Scharfenberger","given":"Ulrike","email":"","affiliations":[],"preferred":false,"id":717495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ozkundakci, Deniz","contributorId":198875,"corporation":false,"usgs":false,"family":"Ozkundakci","given":"Deniz","email":"","affiliations":[],"preferred":false,"id":717496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansson, Lars-Anders","contributorId":198876,"corporation":false,"usgs":false,"family":"Hansson","given":"Lars-Anders","email":"","affiliations":[],"preferred":false,"id":717497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janssen, Annette B. G.","contributorId":200076,"corporation":false,"usgs":false,"family":"Janssen","given":"Annette B. G.","affiliations":[],"preferred":false,"id":720911,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Noges, Peeter 0000-0003-2919-6038","orcid":"https://orcid.org/0000-0003-2919-6038","contributorId":150291,"corporation":false,"usgs":false,"family":"Noges","given":"Peeter","email":"","affiliations":[{"id":17967,"text":"Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartumaa, Estonia","active":true,"usgs":false}],"preferred":false,"id":717498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reid, Philip","contributorId":198877,"corporation":false,"usgs":false,"family":"Reid","given":"Philip","email":"","affiliations":[],"preferred":false,"id":717499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schindler, Daniel","contributorId":198878,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[],"preferred":false,"id":717500,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Donk, Ellen","contributorId":198879,"corporation":false,"usgs":false,"family":"van Donk","given":"Ellen","email":"","affiliations":[],"preferred":false,"id":717501,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dakos, Vasilis","contributorId":198880,"corporation":false,"usgs":false,"family":"Dakos","given":"Vasilis","email":"","affiliations":[],"preferred":false,"id":717502,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Adrian, Rita 0000-0002-6318-7189","orcid":"https://orcid.org/0000-0002-6318-7189","contributorId":166831,"corporation":false,"usgs":false,"family":"Adrian","given":"Rita","email":"","affiliations":[{"id":24542,"text":"Department of Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, D- 12587 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":717503,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70179194,"text":"70179194 - 2016 - Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah","interactions":[],"lastModifiedDate":"2018-01-08T13:16:06","indexId":"70179194","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hydrocarbon source rocks in unconventional plays, Rocky Mountain Region","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Rocky Mountain Association of Geologists","usgsCitation":"Birdwell, J.E., Vanden Berg, M.D., Johnson, R.C., Mercier, T.J., Boehlke, A., and Brownfield, M.E., 2016, Geological, geochemical, and reservoir characterization of the Uteland Butte member of the Green River Formation, Uinta Basin, Utah, chap. <i>of</i> Hydrocarbon source rocks in unconventional plays, Rocky Mountain Region, p. 352-378.","productDescription":"27 p.","startPage":"352","endPage":"378","ipdsId":"IP-064022","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":333111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333110,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.rmag.org/publications"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5878a48be4b04df303d9580a","contributors":{"editors":[{"text":"Dolan, Michael 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Center","active":true,"usgs":true}],"preferred":true,"id":656350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vanden Berg, Michael D.","contributorId":177609,"corporation":false,"usgs":false,"family":"Vanden Berg","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":656351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":656355,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178632,"text":"70178632 - 2016 - Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","interactions":[],"lastModifiedDate":"2017-04-27T10:13:23","indexId":"70178632","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States","docAbstract":"<p><span>Mineral dusts can have profound effects on climate, clouds, ecosystem processes, and human health. Because regional dust emission and deposition in western North America are not well understood, measurements of total suspended particulate (TSP) from 2011 to 2013 were made along a 500-km transect of five remote sites in Utah and Colorado, USA. The TSP concentrations in μg&nbsp;m</span><sup>−3</sup><span> adjusted to a 24-h period were relatively high at the two westernmost, dryland sites at Canyonlands National Park (mean&nbsp;=&nbsp;135) and at Mesa Verde National Park (mean&nbsp;=&nbsp;99), as well as at the easternmost site on the Great Plains (mean&nbsp;=&nbsp;143). The TSP concentrations at the two intervening montane sites were less, with more loading on the western slope of the Rocky Mountains (Telluride, mean&nbsp;=&nbsp;68) closest to the desert sites compared with the site on the eastern slope (Niwot Ridge, mean&nbsp;=&nbsp;58). Dust concentrations were commonly highest during late winter-late spring, when Pacific frontal storms are the dominant causes of regional wind. Low concentrations (&lt;7&nbsp;wt%) of organic matter indicated that rock-derived mineral particles composed most TSP. Most TSP mass was carried by particle sizes larger than 10&nbsp;μm (PM</span><sub>&gt;10</sub><span>), as revealed by relatively low average daily concentrations of fine (&lt;5&nbsp;μg&nbsp;m</span><sup>−3</sup><span>; PM</span><sub>2.5</sub><span>) and coarse (&lt;10&nbsp;μg&nbsp;m</span><sup>−3</sup><span>; PM</span><sub>2.5–10</sub><span>) fractions monitored at or near four sites. Standard air-quality measurements for PM</span><sub>2.5</sub><span>&nbsp;and&nbsp;PM</span><sub>10</sub><span> apparently do not capture the large majority of mineral-particulate pollution in the remote western interior U.S.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2016.09.001","usgsCitation":"Reynolds, R.L., Munson, S.M., Fernandez, D., Goldstein, H.L., and Neff, J.C., 2016, Concentrations of mineral aerosol from desert to plains across the central Rocky Mountains, western United States: Aeolian Research, v. 23, p. 21-35, https://doi.org/10.1016/j.aeolia.2016.09.001.","productDescription":"15 p.","startPage":"21","endPage":"35","ipdsId":"IP-067488","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":462023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2016.09.001","text":"Publisher Index Page"},{"id":331402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e50736d","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654643,"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":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":654644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez, Daniel","contributorId":80588,"corporation":false,"usgs":true,"family":"Fernandez","given":"Daniel","affiliations":[],"preferred":false,"id":654645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Jason C.","contributorId":169417,"corporation":false,"usgs":false,"family":"Neff","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":25504,"text":"Univ. of Colorado, Coulder, CO","active":true,"usgs":false}],"preferred":false,"id":654647,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179665,"text":"70179665 - 2016 - Geology of the western Piedmont in Virginia","interactions":[],"lastModifiedDate":"2018-02-12T10:46:05","indexId":"70179665","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5623,"text":"Virginia Museum of Natural History Special Publication","active":true,"publicationSubtype":{"id":24}},"seriesNumber":"18","title":"Geology of the western Piedmont in Virginia","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geology of Virginia (Virginia Museum of Natural History Special Publication 18)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Virgina Museum of Natural History","publisherLocation":"Martinsville, VA","isbn":"1-884549-40-3","usgsCitation":"Hibbard, J.P., Beard, J.S., Henika, W.S., and Horton, J.W., 2016, Geology of the western Piedmont in Virginia, chap. <i>of</i> The geology of Virginia (Virginia Museum of Natural History Special Publication 18): Virginia Museum of Natural History Special Publication, p. 87-124.","productDescription":"38 p.","startPage":"87","endPage":"124","ipdsId":"IP-027403","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":333105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":333104,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.vmnh.net/products/details/id/169/catid/73/the-geology-of-virginia"}],"country":"United States","state":"Virginia","otherGeospatial":"Western 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Cullen","contributorId":12588,"corporation":false,"usgs":false,"family":"Sherwood","given":"W.","email":"","middleInitial":"Cullen","affiliations":[],"preferred":false,"id":728200,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Eaton, L. Scott lse5a@usgs.gov","contributorId":67582,"corporation":false,"usgs":true,"family":"Eaton","given":"L.","email":"lse5a@usgs.gov","middleInitial":"Scott","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":728201,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","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":728202,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hibbard, James P.","contributorId":178189,"corporation":false,"usgs":false,"family":"Hibbard","given":"James","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":658153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, James S.","contributorId":178187,"corporation":false,"usgs":false,"family":"Beard","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henika, William S.","contributorId":178188,"corporation":false,"usgs":false,"family":"Henika","given":"William","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":658152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, J. Wright Jr. 0000-0001-6756-6365 whorton@usgs.gov","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":173694,"corporation":false,"usgs":true,"family":"Horton","given":"J.","suffix":"Jr.","email":"whorton@usgs.gov","middleInitial":"Wright","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":658150,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179733,"text":"70179733 - 2016 - Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri","interactions":[],"lastModifiedDate":"2018-01-04T12:36:31","indexId":"70179733","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5265,"text":"Journal of Biodiversity & Endangered Species","active":true,"publicationSubtype":{"id":10}},"title":"Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri","docAbstract":"<p><span>The distribution and amount of genetic variation within and between populations of plant species are important for their adaptability to future habitat changes and also critical for their restoration and overall management. This study was initiated to assess the genetic status of the remnant population of Melicope zahlbruckneri–a critically endangered species in Hawaii, and determine the extent of genetic variation and diversity in order to propose valuable conservation approaches. Estimated genetic structure of individuals based on molecular marker allele frequencies identified genetic groups with low overall differentiation but identified the most genetically diverse individuals within the population. Analysis of Amplified Fragment Length Polymorphic (AFLP) marker loci in the population based on Bayesian model and multivariate statistics classified the population into four subgroups. We inferred a mixed species population structure based on Bayesian clustering and frequency of unique alleles. The percentage of Polymorphic Fragment (PPF) ranged from 18.8 to 64.6% for all marker loci with an average of 54.9% within the population. Inclusion of all surviving M. zahlbruckneri trees in future restorative planting at new sites are suggested, and approaches for longer term maintenance of genetic variability are discussed. To our knowledge, this study represents the first report of molecular genetic analysis of the remaining population of M. zahlbruckneri and also illustrates the importance of genetic variability for conservation of a small endangered population.</span></p>","language":"English","publisher":"OMICS International","doi":"10.4172/2332-2543.1000175","usgsCitation":"Raji, J., and Atkinson, C.T., 2016, Genetic variation and  structure in remnant population of critically endangered Melicope zahlbruckneri: Journal of Biodiversity & Endangered Species, v. 4, no. 3, p. 1-8, https://doi.org/10.4172/2332-2543.1000175.","productDescription":"Article 1000175; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080087","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":470358,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2332-2543.1000175","text":"Publisher Index Page"},{"id":333237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"587f3c13e4b0d96de2564543","contributors":{"authors":[{"text":"Raji, J. A.","contributorId":178331,"corporation":false,"usgs":false,"family":"Raji","given":"J. A.","affiliations":[],"preferred":false,"id":658464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkinson, Carter T. 0000-0002-4232-5335 catkinson@usgs.gov","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":1124,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter","email":"catkinson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":658463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182061,"text":"70182061 - 2016 - Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD","interactions":[],"lastModifiedDate":"2025-05-13T16:45:38.273515","indexId":"70182061","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD","docAbstract":"<p><span>A combination of ground penetrating radar (GPR) data, core data, and aerial photographs were analyzed to better understand the evolution of two portions of Assateague Island, Maryland. The focus of the study was to investigate the applicability of using GPR data to image washover deposits in the stratigraphic record. High amplitude reflections observed in two shore-perpendicular GPR profiles were correlated to shallow (&lt;1 m) lithologic contacts observed in sediment cores. At these contacts, deposits consisting primarily of quartz sand overlie sediments with organic matter that include degraded plant root or stem material. The underlying organic matter likely represents the vegetated portion of the barrier island that was buried by washover fans deposited during hurricanes Irene (2011) and Sandy (2012), as indicated in high-resolution aerial photographs. The GPR data were able to delineate the washover deposits from the underlying stratigraphic unit; however, the radar data did not resolve finer structures necessary to definitively differentiate washover facies from other sand-rich deposits (</span><i>e.g.,</i><span><span>&nbsp;</span>flood-tide deltas and dunes). Other GPR profiles contain reflections that likely correlate to geomorphic features like tidal channels and vegetated zones observed in historical aerial imagery. Burial of these features by overwash fluxes were observed in the aerial imagery and thus the resulting radar sequence is largely interpreted as washover deposits. Deeper, channel-like features that have been infilled were also observed in shore-parallel profiles and these features coincide with scour channels observed in the 1966 aerial photography. Additional sedimentological data are required to determine what role overwash played in the in-filling of these features.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG21.4.173","usgsCitation":"Zaremba, N., Smith, C.G., Bernier, J., and Forde, A.S., 2016, Application of ground penetrating radar for identification of washover deposits and other stratigraphic features: Assateague Island, MD: Journal of Environmental & Engineering Geophysics, v. 21, no. 4, p. 173-186, https://doi.org/10.2113/JEEG21.4.173.","productDescription":"14 p.","startPage":"173","endPage":"186","ipdsId":"IP-074256","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":337659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cde4b0849ce97c86a0","contributors":{"authors":[{"text":"Zaremba, Nicholas 0000-0002-2361-2881 nzaremba@usgs.gov","orcid":"https://orcid.org/0000-0002-2361-2881","contributorId":181756,"corporation":false,"usgs":true,"family":"Zaremba","given":"Nicholas","email":"nzaremba@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":669429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":669431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182203,"text":"70182203 - 2016 - Historical reconstructions of California wildfires vary by data source","interactions":[],"lastModifiedDate":"2017-02-21T10:35:06","indexId":"70182203","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Historical reconstructions of California wildfires vary by data source","docAbstract":"<p><span>Historical data are essential for understanding how fire activity responds to different drivers. It is important that the source of data is commensurate with the spatial and temporal scale of the question addressed, but fire history databases are derived from different sources with different restrictions. In California, a frequently used fire history dataset is the State of California Fire and Resource Assessment Program (FRAP) fire history database, which circumscribes fire perimeters at a relatively fine scale. It includes large fires on both state and federal lands but only covers fires that were mapped or had other spatially explicit data. A different database is the state and federal governments’ annual reports of all fires. They are more complete than the FRAP database but are only spatially explicit to the level of county (California Department of Forestry and Fire Protection – Cal Fire) or forest (United States Forest Service – USFS). We found substantial differences between the FRAP database and the annual summaries, with the largest and most consistent discrepancy being in fire frequency. The FRAP database missed the majority of fires and is thus a poor indicator of fire frequency or indicators of ignition sources. The FRAP database is also deficient in area burned, especially before 1950. Even in contemporary records, the huge number of smaller fires not included in the FRAP database account for substantial cumulative differences in area burned. Wildfires in California account for nearly half of the western United States fire suppression budget. Therefore, the conclusions about data discrepancies and the implications for fire research are of broad importance.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF16050","usgsCitation":"Syphard, A.D., and Keeley, J.E., 2016, Historical reconstructions of California wildfires vary by data source: International Journal of Wildland Fire, v. 25, p. 1221-1227, https://doi.org/10.1071/WF16050.","productDescription":"7 p.","startPage":"1221","endPage":"1227","ipdsId":"IP-070536","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":335863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"25","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ad5fc1e4b01ccd54f8b51b","contributors":{"authors":[{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":669971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":669970,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178070,"text":"fs20163096 - 2016 - Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014","interactions":[],"lastModifiedDate":"2016-12-01T13:36:42","indexId":"fs20163096","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-3096","title":"Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014","docAbstract":"<h1>Introduction</h1><p>The Alazán, Apache, Martínez, and San Pedro Creeks in San Antonio, Texas, are part of a network of urban tributaries to the San Antonio River, known locally as the Westside Creeks. The Westside Creeks flow through some of the oldest neighborhoods in San Antonio. The disruption of streambed sediment is anticipated during a planned restoration to improve and restore the environmental condition of 14 miles of channelized sections of the Westside Creeks in San Antonio. These construction activities can create the potential to reintroduce chemicals found in the sediments into the ecosystem where, depending on hydrologic and environmental conditions, they could become bioavailable and toxic to aquatic life. Elevated concentrations of sediment-associated contaminants often are measured in urban areas such as San Antonio, Tex. Contaminants found in sediment can affect the health of aquatic organisms that ingest sediment. The gradual accumulation of trace elements and organic compounds in aquatic organisms can cause various physiological issues and can ultimately result in death of the aquatic organisms; in addition, subsequent ingestion of aquatic organisms can transfer the accumulated contaminants upward through the food chain (a process called biomagnification).</p><p>The U.S. Geological Survey, in cooperation with the San Antonio River Authority, collected sediment samples and water samples for toxicity testing from sites on the Westside Creeks as part of an initial characterization of selected contaminants in the study area. Samples were collected in January 2014 during base-flow conditions and again in May 2104 after a period of&nbsp;stormwater runoff (poststorm conditions). Sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, brominated flame retardants, polychlorinated biphenyls (PCBs), and polycyclic aromatic hydrocarbons (PAHs). In addition, as an indicator of ecological health (and possibly bioavailability of contaminants in disturbed streambed sediments), the toxicity of water samples to the indicator species <i>Pimephales promelas</i> (fathead minnow) was evaluated by using standard 7-day water-toxicity testing.</p>","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163096","collaboration":"Prepared in cooperation with the San Antonio River Authority","usgsCitation":"Crow, C.L., Wilson, J.T., and Kunz, J.L., 2016, Selected streambed sediment compounds and water toxicity results for Westside Creeks, San Antonio, Texas, 2014: U.S. Geological Survey Fact Sheet 2016–3096, 4 p., https://doi.org/10.3133/fs20163096.","productDescription":"Document: 4 p.; Companion File","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-079315","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":331371,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096_SpanishVersion.pdf","text":"Spanish Fact Sheet","size":"613 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 Spanish Version"},{"id":331374,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2016/5136/sir20165136.pdf","text":"SIR 2016–5136","size":"8.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5136"},{"id":331370,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3096/fs20163096.pdf","text":"English Fact Sheet","size":"667 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3096 English Version"},{"id":331369,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3096/coverthb.jpg"}],"country":"United States","state":"Texas","city":"San Antonio","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.604167,\n              29.475\n            ],\n            [\n              -98.604167,\n              29.3625\n            ],\n            [\n              -98.454167,\n              29.3625\n            ],\n            [\n              -98.454167,\n              29.475\n            ],\n            [\n              -98.604167,\n              29.475\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Texas Water Science Center<br>U.S. Geological Survey<br>1505 Ferguson Lane &nbsp;<br>Austin, Texas 78754–4501</p><p><a href=\"http://tx.usgs.gov/\" data-mce-href=\"http://tx.usgs.gov/\">http://tx.usgs.gov/</a></p>","tableOfContents":"<ul><li>Introduction<br></li><li>Sediment Quality Results<br></li><li>Water Toxicity Results<br></li><li>References<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-12-01","noUsgsAuthors":false,"publicationDate":"2016-12-01","publicationStatus":"PW","scienceBaseUri":"584144dde4b04fc80e507388","contributors":{"authors":[{"text":"Crow, Cassi L. 0000-0002-1279-2485 ccrow@usgs.gov","orcid":"https://orcid.org/0000-0002-1279-2485","contributorId":1666,"corporation":false,"usgs":true,"family":"Crow","given":"Cassi","email":"ccrow@usgs.gov","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":652700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Jennifer T. 0000-0003-4481-6354 jenwilso@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-6354","contributorId":1782,"corporation":false,"usgs":true,"family":"Wilson","given":"Jennifer","email":"jenwilso@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":654594,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184451,"text":"70184451 - 2016 - Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-07T12:19:42","indexId":"70184451","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy","docAbstract":"<p><span>Some barrier-island dunes damaged or destroyed by Hurricane Sandy's storm surges in October 2012 have been reconstructed using sediments dredged from back bays. These sand-, clay-, and iron sulfide-rich sediments were used to make berm-like cores for the reconstructed dunes, which were then covered by beach sand. In November 2013, we sampled and analyzed partially weathered materials collected from the cores of reconstructed dunes. There are generally low levels of metal toxicants in the reconstructed dune materials. However oxidation of reactive iron sulfides by percolating rainwater produces acid-sulfate pore waters, which evaporate during dry periods to produce efflorescent gypsum and sodium jarosite salts. The results suggest use of sulfidic sediments in dune reconstruction has both drawbacks (e.g., potential to generate acid runoff from dune cores following rainfall, enhanced corrosion of steel bulwarks) and possible benefits (e.g., efflorescent salts may enhance structural integrity).</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.04.051","usgsCitation":"Plumlee, G.S., Benzel, W., Hoefen, T.M., Hageman, P.L., Morman, S.A., Reilly, T.J., Adams, M., Berry, C.J., Fischer, J., and Fisher, I., 2016, Environmental implications of the use of sulfidic back-bay sediments for dune reconstruction — Lessons learned post Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 459-471, https://doi.org/10.1016/j.marpolbul.2016.04.051.","productDescription":"13 p.","startPage":"459","endPage":"471","ipdsId":"IP-072137","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":337166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","volume":"107","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c277d8e4b014cc3a3e76b1","contributors":{"authors":[{"text":"Plumlee, Geoffrey S. 0000-0002-9607-5626 gplumlee@usgs.gov","orcid":"https://orcid.org/0000-0002-9607-5626","contributorId":960,"corporation":false,"usgs":true,"family":"Plumlee","given":"Geoffrey","email":"gplumlee@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benzel, William 0000-0002-4085-1876 wbenzel@usgs.gov","orcid":"https://orcid.org/0000-0002-4085-1876","contributorId":3594,"corporation":false,"usgs":true,"family":"Benzel","given":"William","email":"wbenzel@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoefen, Todd M. 0000-0002-3083-5987 thoefen@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5987","contributorId":403,"corporation":false,"usgs":true,"family":"Hoefen","given":"Todd","email":"thoefen@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morman, Suzette A. 0000-0002-2532-1033 smorman@usgs.gov","orcid":"https://orcid.org/0000-0002-2532-1033","contributorId":996,"corporation":false,"usgs":true,"family":"Morman","given":"Suzette","email":"smorman@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":681577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adams, Monique madams@usgs.gov","contributorId":1231,"corporation":false,"usgs":true,"family":"Adams","given":"Monique","email":"madams@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":681578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berry, Cyrus J. cjberry@usgs.gov","contributorId":946,"corporation":false,"usgs":true,"family":"Berry","given":"Cyrus","email":"cjberry@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":681579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fischer, Jeffrey 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":187753,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey","email":"fischer@usgs.gov","affiliations":[],"preferred":true,"id":681580,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Irene ifisher@usgs.gov","contributorId":172759,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":681581,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70191808,"text":"70191808 - 2016 - Managing adaptively for multifunctionality in agricultural systems","interactions":[],"lastModifiedDate":"2017-10-18T11:18:04","indexId":"70191808","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"Managing adaptively for multifunctionality in agricultural systems","docAbstract":"<p><span>The critical importance of agricultural systems for food security and as a dominant global landcover requires management that considers the full dimensions of system functions at appropriate scales, i.e. multifunctionality. We propose that adaptive management is the most suitable management approach for such goals, given its ability to reduce uncertainty over time and support multiple objectives within a system, for multiple actors. As such, adaptive management may be the most appropriate method for sustainably intensifying production whilst increasing the quantity and quality of ecosystem services. However, the current assessment of performance of agricultural systems doesn’t reward ecosystem service provision. Therefore, we present an overview of the ecosystem functions agricultural systems should and could provide, coupled with a revised definition for assessing the performance of agricultural systems from a multifunctional perspective that, when all satisfied, would create adaptive agricultural systems that can increase production whilst ensuring food security and the quantity and quality of ecosystem services. The outcome of this high level of performance is the capacity to respond to multiple shocks without collapse, equity and triple bottom line sustainability. Through the assessment of case studies, we find that alternatives to industrialized agricultural systems incorporate more functional goals, but that there are mixed findings as to whether these goals translate into positive measurable outcomes. We suggest that an adaptive management perspective would support the implementation of a systematic analysis of the social, ecological and economic trade-offs occurring within such systems, particularly between ecosystem services and functions, in order to provide suitable and comparable assessments. We also identify indicators to monitor performance at multiple scales in agricultural systems which can be used within an adaptive management framework to increase resilience at multiple scales.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.05.064","usgsCitation":"Hodbod, J., Barreteau, O., Allen, C.R., and Magda, D., 2016, Managing adaptively for multifunctionality in agricultural systems: Journal of Environmental Management, v. 183, no. 2, p. 379-388, https://doi.org/10.1016/j.jenvman.2016.05.064.","productDescription":"10 p.","startPage":"379","endPage":"388","ipdsId":"IP-075856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488715,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.whiterose.ac.uk/200309/","text":"External Repository"},{"id":346842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d211","contributors":{"authors":[{"text":"Hodbod, Jennifer","contributorId":197366,"corporation":false,"usgs":false,"family":"Hodbod","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":713320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreteau, Olivier","contributorId":173849,"corporation":false,"usgs":false,"family":"Barreteau","given":"Olivier","email":"","affiliations":[{"id":27301,"text":"IRSTEA - UMR G-EAU (France)","active":true,"usgs":false}],"preferred":false,"id":713321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":713211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magda, Daniele","contributorId":197367,"corporation":false,"usgs":false,"family":"Magda","given":"Daniele","email":"","affiliations":[],"preferred":false,"id":713322,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193685,"text":"70193685 - 2016 - Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2017-11-02T16:37:20","indexId":"70193685","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Semiautomatic mapping of permafrost in the Yukon Flats, Alaska","docAbstract":"<p>Thawing of permafrost due to global warming can have major impacts on hydrogeological processes, climate feedback, arctic ecology, and local environments. To understand these effects and processes, it is crucial to know the distribution of permafrost. In this study we exploit the fact that airborne electromagnetic (AEM) data are sensitive to the distribution of permafrost and demonstrate how the distribution of permafrost in the Yukon Flats, Alaska, is mapped in an efficient (semiautomatic) way, using a combination of supervised and unsupervised (machine) learning algorithms, i.e., Smart Interpretation and K-means clustering. Clustering is used to sort unfrozen and frozen regions, and Smart Interpretation is used to predict the depth of permafrost based on expert interpretations. This workflow allows, for the first time, a quantitative and objective approach to efficiently map permafrost based on large amounts of AEM data.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016GL071334","usgsCitation":"Gulbrandsen, M.L., Minsley, B.J., Ball, L.B., and Hansen, T.M., 2016, Semiautomatic mapping of permafrost in the Yukon Flats, Alaska: Geophysical Research Letters, v. 43, no. 23, p. 12131-12137, https://doi.org/10.1002/2016GL071334.","productDescription":"7 p.","startPage":"12131","endPage":"12137","ipdsId":"IP-080706","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470396,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gl071334","text":"External Repository"},{"id":348149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","volume":"43","issue":"23","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59fc2ea6e4b0531197b27f87","contributors":{"authors":[{"text":"Gulbrandsen, Mats Lundh","contributorId":199734,"corporation":false,"usgs":false,"family":"Gulbrandsen","given":"Mats","email":"","middleInitial":"Lundh","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":719886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Thomas Mejer","contributorId":199735,"corporation":false,"usgs":false,"family":"Hansen","given":"Thomas","email":"","middleInitial":"Mejer","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":719887,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193660,"text":"70193660 - 2016 - Structured decision making as a framework for large-scale wildlife harvest management decisions","interactions":[],"lastModifiedDate":"2017-11-05T21:40:27","indexId":"70193660","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structured decision making as a framework for large-scale wildlife harvest management decisions","docAbstract":"<p>Fish and wildlife harvest management at large spatial scales often involves making complex decisions with multiple objectives and difficult tradeoffs, population demographics that vary spatially, competing stakeholder values, and uncertainties that might affect management decisions. Structured decision making (SDM) provides a formal decision analytic framework for evaluating difficult decisions by breaking decisions into component parts and separating the values of stakeholders from the scientific evaluation of management actions and uncertainty. The result is a rigorous, transparent, and values-driven process. This decision-aiding process provides the decision maker with a more complete understanding of the problem and the effects of potential management actions on stakeholder values, as well as how key uncertainties can affect the decision. We use a case study to illustrate how SDM can be used as a decision-aiding tool for management decision making at large scales. We evaluated alternative white-tailed deer (<i>Odocoileus virginianus</i>) buck-harvest regulations in New York designed to reduce harvest of yearling bucks, taking into consideration the values of the state wildlife agency responsible for managing deer, as well as deer hunters. We incorporated tradeoffs about social, ecological, and economic management concerns throughout the state. Based on the outcomes of predictive models, expert elicitation, and hunter surveys, the SDM process identified management alternatives that optimized competing objectives. The SDM process provided biologists and managers insight about aspects of the buck-harvest decision that helped them adopt a management strategy most compatible with diverse hunter values and management concerns.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.1613","usgsCitation":"Robinson, K., Fuller, A.K., Hurst, J.E., Swift, B.L., Kirsch, A., Farquhar, J.F., Decker, D.J., and Siemer, W.F., 2016, Structured decision making as a framework for large-scale wildlife harvest management decisions: Ecosphere, v. 7, no. 12, Article e01613; 14 p., https://doi.org/10.1002/ecs2.1613.","productDescription":"Article e01613; 14 p.","ipdsId":"IP-078686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470346,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1613","text":"Publisher Index Page"},{"id":348207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a750","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":140157,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false},{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":719792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719794,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirsch, Arthur","contributorId":199698,"corporation":false,"usgs":false,"family":"Kirsch","given":"Arthur","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farquhar, James F.","contributorId":150969,"corporation":false,"usgs":false,"family":"Farquhar","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719796,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decker, Daniel J.","contributorId":166906,"corporation":false,"usgs":false,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719797,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719798,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193635,"text":"70193635 - 2016 - Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","interactions":[],"lastModifiedDate":"2017-11-13T14:58:13","indexId":"70193635","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering","docAbstract":"<p><span>Error-tolerant likelihood-based match calling presents a promising technique to accurately identify recapture events in genetic mark–recapture studies by combining probabilities of latent genotypes and probabilities of observed genotypes, which may contain genotyping errors. Combined with clustering algorithms to group samples into sets of recaptures based upon pairwise match calls, these tools can be used to reconstruct accurate capture histories for mark–recapture modelling. Here, we assess the performance of a recently introduced error-tolerant likelihood-based match-calling model and sample clustering algorithm for genetic mark–recapture studies. We assessed both biallelic (i.e. single nucleotide polymorphisms; SNP) and multiallelic (i.e. microsatellite; MSAT) markers using a combination of simulation analyses and case study data on Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) and fishers (</span><i>Pekania pennanti</i><span>). A novel two-stage clustering approach is demonstrated for genetic mark–recapture applications. First, repeat captures within a sampling occasion are identified. Subsequently, recaptures across sampling occasions are identified. The likelihood-based matching protocol performed well in simulation trials, demonstrating utility for use in a wide range of genetic mark–recapture studies. Moderately sized SNP (64+) and MSAT (10–15) panels produced accurate match calls for recaptures and accurate non-match calls for samples from closely related individuals in the face of low to moderate genotyping error. Furthermore, matching performance remained stable or increased as the number of genetic markers increased, genotyping error notwithstanding.</span></p>","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsos.160457","usgsCitation":"Sethi, S., Linden, D., Wenburg, J., Lewis, C., Lemons, P.R., Fuller, A.K., and Hare, M.P., 2016, Accurate recapture identification for genetic mark–recapture studies with error-tolerant likelihood-based match calling and sample clustering: Royal Society Open Science, v. 3, p. 1-14, https://doi.org/10.1098/rsos.160457.","productDescription":"Article 160457; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076769","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470349,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.160457","text":"Publisher Index Page"},{"id":348725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc7de4b06e28e9c23f09","contributors":{"authors":[{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linden, Daniel","contributorId":199671,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","affiliations":[],"preferred":false,"id":719698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenburg, John","contributorId":199672,"corporation":false,"usgs":false,"family":"Wenburg","given":"John","affiliations":[],"preferred":false,"id":719699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Cara","contributorId":199673,"corporation":false,"usgs":false,"family":"Lewis","given":"Cara","affiliations":[],"preferred":false,"id":719700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lemons, Patrick R.","contributorId":11014,"corporation":false,"usgs":true,"family":"Lemons","given":"Patrick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719701,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193684,"text":"70193684 - 2016 - Timing of spring wild turkey hunting in relation to nest incubation","interactions":[],"lastModifiedDate":"2017-11-08T16:03:20","indexId":"70193684","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Timing of spring wild turkey hunting in relation to nest incubation","docAbstract":"<p>State wildlife agencies are often requested to open spring wild turkey (<i>Meleagris gallopavo</i>; hereafter, turkey) hunting seasons earlier to increase hunter satisfaction by hunters hearing more gobbling male turkeys. Timing of spring turkey hunting season in several states, including Pennsylvania, has been established to open, on average, near median date of incubation initiation of turkey nests. This is believed to reduce illegal and undesired hen harvest and possibly nest abandonment, while maintaining hunter satisfaction of hearing male turkeys when most hens are incubating eggs. However, Pennsylvania’s spring season structure was established in 1968. Given earlier spring phenology, and potentially more variation in spring weather due to climate change, there is concern that timing of nest incubation for turkeys in Pennsylvania could be changing. Therefore, our objective was to determine if nest incubation and opening of spring turkey hunting in Pennsylvania have continued to coincide. We attached satellite transmitters to 254 female turkeys during 2010–2014 and estimated median incubation initiation date to be 2 May, which was 2 days earlier than median date during a statewide study during 1953–1963 and 9 days earlier than during a smaller scale study in south–central Pennsylvania during 2000–2001. However, incubation initiation varied greatly among years and individual hens during all 3 studies. During 4 of 5 years of our study, Pennsylvania’s spring season opened 3 to 8 days prior to median date of incubation initiation. Over the 5 years, estimated initiation of incubation for first nesting attempts, measured from earliest date of incubation initiation to latest, was &gt;2 months and maximum proportion of hens beginning incubation at any one time differed by several days to &gt;1 week. Consequently, in years of late incubation, a constant season opening date set near the long-term median date of incubation initiation exposes few additional hens to risk and hunter satisfaction is likely maintained at greater levels than would be seen with a more conservative approach of opening the season later. Long-term and large scale studies using GPS transmitters that provide precise determination of incubation initiation will be useful to study environmental influences on initiation of incubation.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the National Wild Turkey Symposium","conferenceTitle":"11th National Wild Turkey Symposium","conferenceDate":"January 5-7, 2016","conferenceLocation":"Tucson, Arizona","language":"English","usgsCitation":"Casalena, M.J., Everett, R., Vreeland, W.C., Gregg, I.D., and Diefenbach, D.R., 2016, Timing of spring wild turkey hunting in relation to nest incubation, <i>in</i> Proceedings of the National Wild Turkey Symposium, v. 11, Tucson, Arizona, January 5-7, 2016, p. 237-247.","productDescription":"11 p.","startPage":"237","endPage":"247","ipdsId":"IP-064331","costCenters":[{"id":199,"text":"Coop Res Unit 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C.","contributorId":171658,"corporation":false,"usgs":false,"family":"Vreeland","given":"Wendy","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregg, Ian D.","contributorId":200195,"corporation":false,"usgs":false,"family":"Gregg","given":"Ian","email":"","middleInitial":"D.","affiliations":[{"id":26925,"text":"Pennsylvania Game Commission, Harrisburg, PA","active":true,"usgs":false}],"preferred":false,"id":721386,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719883,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192092,"text":"70192092 - 2016 - Adult nest attendance and diet of nestling Resplendent Quetzals (Pharomachrus mocinno) in the Talamanca Mountains of southern Cosa Rica","interactions":[],"lastModifiedDate":"2017-10-25T15:13:55","indexId":"70192092","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2967,"text":"Ornitologia Neotropical","active":true,"publicationSubtype":{"id":10}},"title":"Adult nest attendance and diet of nestling Resplendent Quetzals (Pharomachrus mocinno) in the Talamanca Mountains of southern Cosa Rica","docAbstract":"<p><span>Resplendent Quetzals (</span><i>Pharomachrus mocinno</i><span>) inhabit mid to high elevation forests from southern Mexico to Panama. Lipid rich fruits from the Lauraceae family have been found to account for a large proportion of adult diet across their annual life cycle. To better understand the relationship between quetzals and Lauraceae during the breeding season, we studied food deliveries to nestlings in the Talamanca Mountains at San Gerardo de Dota, Costa Rica in the Rio Savegre watershed. Our study had four primary objectives: 1) determine parental contribution of males and females feeding nestling quetzals, 2) determine type of food delivered to nestling quetzals, 3) determine if deliveries of fruit items were related to their abundance and/or nutritional content and 4) determine if Lauraceae fruits made up a large proportion of nestling diets based on the high preference quetzals have displayed for fruits from this plant family. Hourly delivery rates were similar for the male and female (1.24 ± 0.68 and 1.44 ± 0.84). During the first 6 days, the largest proportion of the diet was animal prey; primarily lizards and beetles. After day 6, fruit rapidly became the dominant food item delivered to nestlings until fledging. The dominant number of fruits delivered to nestling quetzals were fruits from the Lauraceae family and included<span>&nbsp;</span></span><i>Ocotea holdrigeiana</i><span>,<span>&nbsp;</span></span><i>Necatandra cufodontisii</i><span>, and<span>&nbsp;</span></span><i>Aiouea costaricensis</i><span>. All three had some of the highest protein and lipid content of all fruits delivered to nestlings.<span>&nbsp;</span></span><i>O. holdrigeiana</i><span><span>&nbsp;</span>had the highest protein and lipid content of all fruits delivered, had the lowest relative abundance, and was delivered more frequently than all other fruits. Conservation strategies for this species should take into account not just increasing available habitat, but also increasing habitat quality by focusing on species composition to provide abundant food plants for the Resplendent Quetzal to forage.</span></p>","language":"English","publisher":"Sociedad de Ornitología Neotropical","usgsCitation":"Carleton, S.A., 2016, Adult nest attendance and diet of nestling Resplendent Quetzals (Pharomachrus mocinno) in the Talamanca Mountains of southern Cosa Rica: Ornitologia Neotropical, v. 27, p. 181-188.","productDescription":"8 p.","startPage":"181","endPage":"188","ipdsId":"IP-076978","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":347396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347395,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://journals.sfu.ca/ornneo/index.php/ornneo/article/view/116"}],"country":"Costa Rica","volume":"27","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a7e4b0220bbd9d9f6f","contributors":{"authors":[{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714180,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185004,"text":"70185004 - 2016 - Latent spatial models and sampling design for landscape genetics","interactions":[],"lastModifiedDate":"2017-11-27T11:01:49","indexId":"70185004","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":787,"text":"Annals of Applied Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Latent spatial models and sampling design for landscape genetics","docAbstract":"<p><span>We propose a spatially-explicit approach for modeling genetic variation across space and illustrate how this approach can be used to optimize spatial prediction and sampling design for landscape genetic data. We propose a multinomial data model for categorical microsatellite allele data commonly used in landscape genetic studies, and introduce a latent spatial random effect to allow for spatial correlation between genetic observations. We illustrate how modern dimension reduction approaches to spatial statistics can allow for efficient computation in landscape genetic statistical models covering large spatial domains. We apply our approach to propose a retrospective spatial sampling design for greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>) population genetics in the western United States.</span></p>","language":"English","publisher":"Project Euclid","doi":"10.1214/16-AOAS929","usgsCitation":"Hanks, E., Hooten, M., Knick, S.T., Oyler-McCance, S.J., Fike, J.A., Cross, T.B., and Schwartz, M.K., 2016, Latent spatial models and sampling design for landscape genetics: Annals of Applied Statistics, v. 10, no. 2, p. 1041-1062, https://doi.org/10.1214/16-AOAS929.","productDescription":"22 p.","startPage":"1041","endPage":"1062","ipdsId":"IP-057367","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1214/16-aoas929","text":"Publisher Index Page"},{"id":337532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90124e4b0849ce97abcc7","contributors":{"authors":[{"text":"Hanks, Ephraim M.","contributorId":104630,"corporation":false,"usgs":true,"family":"Hanks","given":"Ephraim M.","affiliations":[],"preferred":false,"id":684297,"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":683912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":684298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":684299,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fike, Jennifer A. fikej@usgs.gov","contributorId":4564,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer","email":"fikej@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":684300,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":684301,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":684302,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70181776,"text":"70181776 - 2016 - Population-specific life histories contribute to metapopulation viability","interactions":[],"lastModifiedDate":"2017-02-14T11:04:50","indexId":"70181776","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Population-specific life histories contribute to metapopulation viability","docAbstract":"<p><span>Restoration efforts can be improved by understanding how variations in life-history traits occur within populations of the same species living in different environments. This can be done by first understanding the demographic responses of natural occurring populations. Population viability analysis continues to be useful to species management and conservation with sensitivity analysis aiding in the understanding of population dynamics. In this study, using life-table response experiments and elasticity analyses, we investigated how population-specific life-history demographic responses contributed to the metapopulation viability of the Federally threatened Pitcher's thistle (</span><i>Cirsium pitcheri</i><span>). Specifically, we tested the following hypotheses: (1) Subpopulations occupying different environments within a metapopulation have independent demographic responses and (2) advancing succession results in a shift from a demographic response focused on growth and fecundity to one dominated by stasis. Our results showed that reintroductions had a positive contribution to the metapopulation growth rate as compared to native populations which had a negative contribution. We found no difference in succession on the contribution to metapopulation viability. In addition, we identified distinct population-specific contributions to metapopulation viability and were able to associate specific life-history demographic responses. For example, the positive impact of Miller High Dunes population on the metapopulation growth rate resulted from high growth contributions, whereas increased time of plant in stasis for the State Park Big Blowout population resulted in negative contributions. A greater understanding of how separate populations respond in their corresponding environment may ultimately lead to more effective management strategies aimed at reducing extinction risk. We propose the continued use of sensitivity analyses to evaluate population-specific demographic influences on metapopulation viability. In understanding the underlying causes of the projected extinction probabilities of each population and identifying broad-scale contributions of different populations to the metapopulation, the process of pinpointing target populations is simplified. More detailed analyses can then be applied to the target populations to increase population viability and consequently metapopulation viability. Based on our research, we suggest that the best approach to improve the overall metapopulation viability is to manage the contributions to population growth for each population separately.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1536","usgsCitation":"Halsey, S.J., Bell, T.J., McEachern, K., and Pavlovic, N.B., 2016, Population-specific life histories contribute to metapopulation viability: Ecosphere, v. 7, no. 11, p. 1-13, https://doi.org/10.1002/ecs2.1536.","productDescription":"e01536; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-073189","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1536","text":"Publisher Index Page"},{"id":335331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"11","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"58a4252fe4b0c825128ad404","chorus":{"doi":"10.1002/ecs2.1536","url":"http://dx.doi.org/10.1002/ecs2.1536","publisher":"Wiley-Blackwell","authors":"Halsey Samniqueka J., Bell Timothy J., McEachern Kathryn, Pavlovic Noel B.","journalName":"Ecosphere","publicationDate":"11/2016","auditedOn":"11/15/2016"},"contributors":{"authors":[{"text":"Halsey, Samniqueka J.","contributorId":181523,"corporation":false,"usgs":false,"family":"Halsey","given":"Samniqueka","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bell, Timothy J.","contributorId":181524,"corporation":false,"usgs":false,"family":"Bell","given":"Timothy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":668486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":668487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668484,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182799,"text":"70182799 - 2016 - Indications of a positive feedback between coastal development and beach nourishment","interactions":[],"lastModifiedDate":"2017-03-01T13:40:22","indexId":"70182799","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Indications of a positive feedback between coastal development and beach nourishment","docAbstract":"Beach nourishment, a method for mitigating coastal storm damage or chronic erosion by deliberately replacing sand on an eroded beach, has been the leading form of coastal protection in the U.S. for four decades. However, investment in hazard protection can have the unintended consequence of encouraging development in places especially vulnerable to damage. In a comprehensive, parcel-scale analysis of all shorefront single-family homes in the state of Florida, we find that houses in nourishing zones are significantly larger and more numerous than in non-nourishing zones. The predominance of larger homes in nourishing zones suggests a positive feedback between nourishment and development that is compounding coastal risk in zones already characterized by high vulnerability.","language":"English","publisher":"Wiley","doi":"10.1002/2016EF000425","collaboration":"Eli Lazarus, Scott Armstrong, Evan Goldstein, Curtis Thorpe, Rhoda Ballenger","usgsCitation":"Armstrong, S., Lazarus, E.D., Limber, P.W., Goldstein, E.B., Thorpe, C., and Ballinger, R., 2016, Indications of a positive feedback between coastal development and beach nourishment: Earth's Future, v. 4, no. 12, p. 626-635, https://doi.org/10.1002/2016EF000425.","productDescription":"10 p.","startPage":"626","endPage":"635","ipdsId":"IP-074268","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ef000425","text":"Publisher Index Page"},{"id":336759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":336352,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/2016EF000425/full"}],"volume":"4","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"58b7eba5e4b01ccd5500baed","contributors":{"authors":[{"text":"Armstrong, Scott 0000-0001-9567-5964","orcid":"https://orcid.org/0000-0001-9567-5964","contributorId":184208,"corporation":false,"usgs":false,"family":"Armstrong","given":"Scott","email":"","affiliations":[],"preferred":false,"id":673791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazarus, Eli D. 0000-0003-2404-9661","orcid":"https://orcid.org/0000-0003-2404-9661","contributorId":184209,"corporation":false,"usgs":false,"family":"Lazarus","given":"Eli","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":673792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":673790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Evan B. 0000-0001-9358-1016","orcid":"https://orcid.org/0000-0001-9358-1016","contributorId":184210,"corporation":false,"usgs":false,"family":"Goldstein","given":"Evan","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":673793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorpe, Curtis","contributorId":184211,"corporation":false,"usgs":false,"family":"Thorpe","given":"Curtis","email":"","affiliations":[],"preferred":false,"id":673794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ballinger, Rhoda","contributorId":184212,"corporation":false,"usgs":false,"family":"Ballinger","given":"Rhoda","email":"","affiliations":[],"preferred":false,"id":673795,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193725,"text":"70193725 - 2016 - Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","interactions":[],"lastModifiedDate":"2017-11-04T13:15:12","indexId":"70193725","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Shallow and deep controls on lava lake surface motion at Kīlauea Volcano","docAbstract":"<p>Lava lakes provide a rare window into magmatic behavior, and lake surface motion has been used to infer deeper properties of the magmatic system. At Halema'uma'u Crater, at the summit of Kīlauea Volcano, multidisciplinary observations for the past several years indicate that lava lake surface motion can be broadly divided into two regimes: 1) stable and 2) unstable. Stable behavior is driven by lava upwelling from deeper in the lake (presumably directly from the conduit) and is an intrinsic process that drives lava lake surface motion most of the time. This stable behavior can be interrupted by periods of unstable flow (often reversals) driven by spattering – a shallowly-rooted process often extrinsically triggered by small rockfalls from the crater wall. The bursting bubbles at spatter sources create void spaces and a localized surface depression which draws and consumes surrounding surface crust. Spattering is therefore a location of lava downwelling, not upwelling. Stable (i.e. deep, upwelling-driven) and unstable (i.e. shallow, spattering-driven) behavior often alternate through time, have characteristic surface velocities, flow directions and surface temperature regimes, and also correspond to changes in spattering intensity, outgassing rates, lava level and seismic tremor. These results highlight that several processes, originating at different depths, can control the motion of the lava lake surface, and long-term interdisciplinary monitoring is required to separate these influences. These observations indicate that lake surface motion is not always a reliable proxy for deeper lake or magmatic processes. From these observations, we suggest that shallow outgassing (spattering), not lake convection, drives the variations in lake motion reported at Erta 'Ale lava lake.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.11.010","usgsCitation":"Patrick, M.R., Orr, T.R., Swanson, D., and Lev, E., 2016, Shallow and deep controls on lava lake surface motion at Kīlauea Volcano: Journal of Volcanology and Geothermal Research, v. 328, p. 247-261, https://doi.org/10.1016/j.jvolgeores.2016.11.010.","productDescription":"14 p.","startPage":"247","endPage":"261","ipdsId":"IP-070597","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2016.11.010","text":"Publisher Index Page"},{"id":348192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Halema`uma`u Crater, Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.38224724763325\n            ],\n            [\n              -155.22977828979492,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.446198036283963\n            ],\n            [\n              -155.3070259094238,\n              19.38224724763325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"328","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c2","contributors":{"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":720080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193722,"text":"70193722 - 2016 - A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","interactions":[],"lastModifiedDate":"2017-11-04T13:27:11","indexId":"70193722","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","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":"A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm","docAbstract":"<p>In microseismicity analyses, reliable focal mechanisms can typically be obtained for only a small subset of located events. We address this limitation here, presenting a framework for determining robust focal mechanisms for entire populations of very small events. To achieve this, we resolve relative <i>P</i> and <i>S</i> wave polarities between pairs of waveforms by using their signed correlation coefficients—a by-product of previously performed precise earthquake relocation. We then use cluster analysis to group events with similar patterns of polarities across the network. Finally, we apply a standard mechanism inversion to the grouped data, using either catalog or correlation-derived <i>P</i> wave polarity data sets. This approach has great potential for enhancing analyses of spatially concentrated microseismicity such as earthquake swarms, mainshock-aftershock sequences, and industrial reservoir stimulation or injection-induced seismic sequences. To demonstrate its utility, we apply this technique to the 2014 Long Valley Caldera earthquake swarm. In our analysis, 85% of the events (7212 out of 8494 located by <i>Shelly et al</i>. [2016]) fall within five well-constrained mechanism clusters, more than 12 times the number with network-determined mechanisms. Of the earthquakes we characterize, 3023 (42%) have magnitudes smaller than 0.0. We find that mechanism variations are strongly associated with corresponding hypocentral structure, yet mechanism heterogeneity also occurs where it cannot be resolved by hypocentral patterns, often confined to small-magnitude events. Small (5–20°) rotations between mechanism orientations and earthquake location trends persist when we apply 3-D velocity models and might reflect a geometry of en echelon, interlinked shear, and dilational faulting.</p>","language":"English","publisher":"AGU","doi":"10.1002/2016JB013437","usgsCitation":"Shelly, D.R., Hardebeck, J.L., Ellsworth, W.L., and Hill, D.P., 2016, A new strategy for earthquake focal mechanisms using waveform-correlation-derived relative polarities and cluster analysis: Application to the 2014 Long Valley Caldera earthquake swarm: Journal of Geophysical Research B: Solid Earth, v. 121, no. 12, p. 8622-8641, https://doi.org/10.1002/2016JB013437.","productDescription":"20 p.","startPage":"8622","endPage":"8641","ipdsId":"IP-078358","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","volume":"121","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-03","publicationStatus":"PW","scienceBaseUri":"59fedfb4e4b0531197b573c4","contributors":{"authors":[{"text":"Shelly, David R. dshelly@usgs.gov","contributorId":2978,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":720062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, David P. hill@usgs.gov","contributorId":2600,"corporation":false,"usgs":true,"family":"Hill","given":"David","email":"hill@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":720063,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182493,"text":"70182493 - 2016 - Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","interactions":[],"lastModifiedDate":"2017-04-07T14:33:04","indexId":"70182493","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains","docAbstract":"<p><ul><li>Level 3 soil moisture datasets from the recently launched Soil Moisture Active Passive (SMAP) satellite are evaluated for drought monitoring in rangelands.<br></li><li>Validation of SMAP soil moisture (SSM) with <i>in situ</i> and modeled estimates showed high level of agreement.<br></li><li>SSM showed the highest correlation with surface soil moisture (0-5 cm) and a strong correlation to depths up to 20 cm.<br></li><li>SSM showed a reliable and expected response of capturing seasonal dynamics in relation to precipitation, land surface temperature, and evapotranspiration.<br></li><li>Further evaluation using multi-year SMAP datasets is necessary to quantify the full benefits and limitations for drought monitoring in rangelands.<br></li></ul></p><p><br></p><p></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rala.2016.06.002","usgsCitation":"Velpuri, N.M., Senay, G.B., and Morisette, J.T., 2016, Evaluating new SMAP soil moisture for drought monitoring in the rangelands of the US High Plains: Rangelands, v. 38, no. 4, p. 183-190, https://doi.org/10.1016/j.rala.2016.06.002.","productDescription":"8 p.","startPage":"183","endPage":"190","ipdsId":"IP-075375","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470359,"rank":0,"type":{"id":40,"text":"Open 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