{"pageNumber":"82","pageRowStart":"2025","pageSize":"25","recordCount":10450,"records":[{"id":70203199,"text":"70203199 - 2019 - Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert","interactions":[],"lastModifiedDate":"2019-04-29T08:53:31","indexId":"70203199","displayToPublicDate":"2019-04-19T08:53:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert","docAbstract":"Multiple-use public lands require balancing diverse resource uses and values across landscapes. In the California desert, there is strong interest in renewable energy development and important conservation concerns. The Bureau of Land Management recently completed a land-use plan for the area that provides protection for modeled suitable habitat for multiple rare plants. Three sets of habitat models were commissioned for plants of conservation concern as part of the planning effort. The Bureau of Land Management then needed to determine which model or combination of models to use to implement plan requirements. Our goals were to: 1) develop a process for evaluating the existing habitat models and 2) use the evaluation results to map probable and potential suitable habitat. We developed a method for evaluating the construction (input data and methods) and performance of existing models and applied it to 88 habitat models for 43 rare plant species. We also developed a process for mapping probable and potential suitable habitat based on the existing models; potential habitat maps are intended only to guide future field surveys. We were able to map probable suitable habitat for 26 of the 43 species and potential suitable habitat for 41 species. Forty percent of the project area contains probable suitable habitat for at least one species (43,338 km2), with much of that habitat (43%) occurring on lands managed by the Bureau of Land Management. Lands prioritized for renewable energy development contain 3% of the habitat modeled as suitable for at least one species. Our products can be used by agencies to review proposed projects and plan future plant surveys and by developers to target sites likely to minimize conflicts with rare plant conservation goals. Our methods can be broadly applied to understand and quantify the defensibility of models used in conservation and regulatory contexts.","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0214099","usgsCitation":"Reese, G., Carter, S.K., Lunch, C., and Walterscheid, S., 2019, Evaluating and using existing models to map probable suitable habitat for rare plants to inform management of multiple-use public lands in the California desert: PLoS ONE, v. 14, no. 4, 26 p., https://doi.org/10.1371/journal.pone.0214099.","productDescription":"26 p.","ipdsId":"IP-099792","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467685,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0214099","text":"Publisher Index Page"},{"id":437493,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NDA9YC","text":"USGS data release","linkHelpText":"Probable and potential suitable habitat for 43 rare plant species in the California desert"},{"id":363287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.27783203125,\n              31.87755764334002\n            ],\n            [\n              -113.88427734374999,\n              31.87755764334002\n            ],\n            [\n              -113.88427734374999,\n              38.22091976683121\n            ],\n            [\n              -122.27783203125,\n              38.22091976683121\n            ],\n            [\n              -122.27783203125,\n              31.87755764334002\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Reese, Gordon 0000-0002-5191-7770 greese@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-7770","contributorId":215093,"corporation":false,"usgs":true,"family":"Reese","given":"Gordon","email":"greese@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lunch, Christina","contributorId":215094,"corporation":false,"usgs":false,"family":"Lunch","given":"Christina","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":761614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walterscheid, Steve","contributorId":215095,"corporation":false,"usgs":false,"family":"Walterscheid","given":"Steve","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":761615,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212320,"text":"70212320 - 2019 - Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): A cross-system analysis","interactions":[],"lastModifiedDate":"2020-08-14T14:48:17.531276","indexId":"70212320","displayToPublicDate":"2019-04-17T09:34:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Long-term population dynamics of dreissenid mussels (<i>Dreissena polymorpha</i> and <i>D. rostriformis</i>): A cross-system analysis","title":"Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): A cross-system analysis","docAbstract":"<p><span>Dreissenid mussels (including the zebra mussel&nbsp;</span><i>Dreissena polymorpha</i><span>&nbsp;and the quagga mussel&nbsp;</span><i>D.&nbsp;rostriformis</i><span>) are among the world's most notorious invasive species, with large and widespread ecological and economic effects. However, their long‐term population dynamics are poorly known, even though these dynamics are critical to determining impacts and effective management. We gathered and analyzed 67 long‐term (&gt;10&nbsp;yr) data sets on dreissenid populations from lakes and rivers across Europe and North America. We addressed five questions: (1) How do&nbsp;</span><i>Dreissena</i><span>&nbsp;populations change through time? (2) Specifically, do&nbsp;</span><i>Dreissena</i><span>&nbsp;populations decline substantially after an initial outbreak phase? (3) Do different measures of population performance (biomass or density of settled animals, veliger density, recruitment of young) follow the same patterns through time? (4) How do the numbers or biomass of zebra mussels or of both species combined change after the quagga mussel arrives? (5) How does body size change over time? We also considered whether current data on long‐term dynamics of&nbsp;</span><i>Dreissena</i><span>&nbsp;populations are adequate for science and management. Individual&nbsp;</span><i>Dreissena</i><span>&nbsp;populations showed a wide range of temporal dynamics, but we could detect only two general patterns that applied across many populations: (1) Populations of both species increased rapidly in the first 1–2&nbsp;yr after appearance, and (2) quagga mussels appeared later than zebra mussels and usually quickly caused large declines in zebra mussel populations. We found little evidence that combined&nbsp;</span><i>Dreissena</i><span>&nbsp;populations declined over the long term. Different measures of population performance were not congruent; the temporal dynamics of one life stage or population attribute cannot generally be accurately inferred from the dynamics of another. We found no consistent patterns in the long‐term dynamics of body size. The long‐term dynamics of&nbsp;</span><i>Dreissena</i><span>&nbsp;populations probably are driven by the ecological characteristics (e.g., predation, nutrient inputs, water temperature) and their temporal changes at individual sites rather than following a generalized time course that applies across many sites. Existing long‐term data sets on dreissenid populations, although clearly valuable, are inadequate to meet research and management needs. Data sets could be improved by standardizing sampling designs and methods, routinely collecting more variables, and increasing support.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2701","usgsCitation":"Strayer, D., Adamovich, B.V., Rita Adrian, Aldridge, D.C., Balogh, C., Burlakova, L.E., Fried-Petersen, H., G.-Toth, L., Amy L. Hetherington, Jones, T.S., Alexander Y. Karatayev, Madill, J.B., Makarevich, O.A., Marsden, J., Martel, A.L., Minchin, D., Nalepa, T.F., Noordhuis, R., Robinson, T.J., Lars G. Rudstam, Astrid N. Schwalb, Smith, D.R., Alan D. Steinman, and Jeschke, J.M., 2019, Long-term population dynamics of dreissenid mussels (Dreissena polymorpha and D. rostriformis): A cross-system analysis: Ecosphere, v. 10, no. 4, e02701, 22 p., https://doi.org/10.1002/ecs2.2701.","productDescription":"e02701, 22 p.","ipdsId":"IP-100985","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":467692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2701","text":"Publisher Index Page"},{"id":377520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Strayer, David L.","contributorId":238531,"corporation":false,"usgs":false,"family":"Strayer","given":"David L.","affiliations":[{"id":47722,"text":"Cary Institute of Ecosystem Studies, Millbrook, NY","active":true,"usgs":false}],"preferred":false,"id":796360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamovich, Boris V.","contributorId":238532,"corporation":false,"usgs":false,"family":"Adamovich","given":"Boris","email":"","middleInitial":"V.","affiliations":[{"id":47723,"text":"Biological Department, Belarusian State University, Minsk, Belarus","active":true,"usgs":false}],"preferred":false,"id":796361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rita Adrian","contributorId":238533,"corporation":false,"usgs":false,"family":"Rita Adrian","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aldridge, David C.","contributorId":238534,"corporation":false,"usgs":false,"family":"Aldridge","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":47725,"text":"Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":796363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balogh, Csilla","contributorId":238535,"corporation":false,"usgs":false,"family":"Balogh","given":"Csilla","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burlakova, Lyubov E.","contributorId":238536,"corporation":false,"usgs":false,"family":"Burlakova","given":"Lyubov","email":"","middleInitial":"E.","affiliations":[{"id":47728,"text":"Great Lakes Center, SUNY Buffalo State, Buffalo, NY","active":true,"usgs":false}],"preferred":false,"id":796365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fried-Petersen, Hannah","contributorId":238537,"corporation":false,"usgs":false,"family":"Fried-Petersen","given":"Hannah","email":"","affiliations":[{"id":47729,"text":"Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":796366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"G.-Toth, Laszlo","contributorId":238538,"corporation":false,"usgs":false,"family":"G.-Toth","given":"Laszlo","email":"","affiliations":[{"id":47726,"text":"Centre for Ecological Research, Balaton Limnological Institute, Hungarian Academy of Sciences, Tihany, Hungary","active":true,"usgs":false}],"preferred":false,"id":796367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Amy L. Hetherington","contributorId":238539,"corporation":false,"usgs":false,"family":"Amy L. Hetherington","affiliations":[{"id":47730,"text":"Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":796368,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jones, Thomas S.","contributorId":238540,"corporation":false,"usgs":false,"family":"Jones","given":"Thomas","email":"","middleInitial":"S.","affiliations":[{"id":47731,"text":"Division of Fish and Wildlife, Minnesota Department of Natural Resources, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":796369,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Alexander Y. Karatayev","contributorId":238541,"corporation":false,"usgs":false,"family":"Alexander Y. Karatayev","affiliations":[{"id":47728,"text":"Great Lakes Center, SUNY Buffalo State, Buffalo, NY","active":true,"usgs":false}],"preferred":false,"id":796370,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Madill, Jacqueline B.","contributorId":238542,"corporation":false,"usgs":false,"family":"Madill","given":"Jacqueline","email":"","middleInitial":"B.","affiliations":[{"id":47732,"text":"Canadian Museum of Nature, Ottawa, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":796371,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Makarevich, Oleg A.","contributorId":238543,"corporation":false,"usgs":false,"family":"Makarevich","given":"Oleg","email":"","middleInitial":"A.","affiliations":[{"id":47723,"text":"Biological Department, Belarusian State University, Minsk, Belarus","active":true,"usgs":false}],"preferred":false,"id":796372,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Marsden, J. Ellen","contributorId":238544,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[{"id":47733,"text":"Wildlife and Fisheries Biology Program, University of Vermont, Burlington, VT","active":true,"usgs":false}],"preferred":false,"id":796373,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Martel, Andre L.","contributorId":238545,"corporation":false,"usgs":false,"family":"Martel","given":"Andre","email":"","middleInitial":"L.","affiliations":[{"id":47731,"text":"Division of Fish and Wildlife, Minnesota Department of Natural Resources, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":796374,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Minchin, Dan","contributorId":238546,"corporation":false,"usgs":false,"family":"Minchin","given":"Dan","email":"","affiliations":[{"id":47735,"text":"Marine Organism Investigations, Killaloe, Ireland","active":true,"usgs":false}],"preferred":false,"id":796375,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nalepa, Thomas F.","contributorId":238547,"corporation":false,"usgs":false,"family":"Nalepa","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":47736,"text":"Graham Sustainability Institute, University of Michigan, Ann Arbor, MI","active":true,"usgs":false}],"preferred":false,"id":796376,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Noordhuis, Ruurd","contributorId":238548,"corporation":false,"usgs":false,"family":"Noordhuis","given":"Ruurd","email":"","affiliations":[{"id":47737,"text":"Deltares, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":796377,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Robinson, Timothy J.","contributorId":238549,"corporation":false,"usgs":false,"family":"Robinson","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":47738,"text":"Department of Statistics, University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":796378,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lars G. Rudstam","contributorId":238550,"corporation":false,"usgs":false,"family":"Lars G. Rudstam","affiliations":[{"id":47739,"text":"Cornell Biological Field Station, Department of Natural Resources, Cornell University, Bridgeport, NY","active":true,"usgs":false}],"preferred":false,"id":796379,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Astrid N. Schwalb","contributorId":238551,"corporation":false,"usgs":false,"family":"Astrid N. Schwalb","affiliations":[{"id":47740,"text":"Department of Biology, Texas State University, San Marcos, TX","active":true,"usgs":false}],"preferred":false,"id":796380,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":796381,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Alan D. Steinman","contributorId":238552,"corporation":false,"usgs":false,"family":"Alan D. Steinman","affiliations":[{"id":47741,"text":"Annis Water Resources Institute, Grand Valley State University, Muskegon, MI","active":true,"usgs":false}],"preferred":false,"id":796382,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Jeschke, Jonathan M.","contributorId":238553,"corporation":false,"usgs":false,"family":"Jeschke","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":47724,"text":"Freie Universität Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":796383,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70204945,"text":"70204945 - 2019 - The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus)","interactions":[],"lastModifiedDate":"2019-08-26T10:24:00","indexId":"70204945","displayToPublicDate":"2019-04-15T10:23:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5854,"text":"Aqua","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The circumtropical swarm population of the longspined porcupinefish (<i>Diodon holocanthus Linnaeus</i>)","title":"The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus)","docAbstract":"<p><span>Evidence is presented that&nbsp;</span><i>Diodon holocanthus</i><span>&nbsp;is a circumtropical swarm (not a hybrid swarm because the individuals are not hybrids). Some individuals are so different</span><br><span>from one another in both color and morphology that they appear to be different species. Thirty undersea and aquarium photographs from different global localities are provided to demonstrate the variability. The worldwide distribution is achieved by the juvenile that has been found more than 1,000 km offshore as large as 90 mm SL. How can it feed on zooplankton with jaws and dentition designed to crush shelled invertebrates? We believe it draws the prey into the mouth with the same mechanism that it uses to expand its body when threatened; the water with prey is diverted to the pharyngeal cavity, then released from the gill opening on each side. Larger juveniles may seek concentrations of zooplankton for feeding, perhaps collectively. A confirming experiment in an aquarium is advised. Aggregations of pelagic juveniles have been observed at the surface outside barrier reefs and found inshore the following morning, indicating that settlement took place at night to minimize predation. The juveniles soon disperse to inshore habitats of mangrove and sea grass to coral reef. The hybrid&nbsp;</span><i>Diodon holocanthus</i><span>x&nbsp;</span><i>D. hystrix</i><span>&nbsp;from South Africa is illustrated. The narrative for the present research on&nbsp;</span><i>D. holocanthus</i><span>&nbsp;is presented chronologically to show how increasing evidence failed to support the multitude of apparent new species of&nbsp;</span><i>Diodon</i><span>, leading to the conclusion of a swarm.</span></p>","language":"English","publisher":"Aquapress","usgsCitation":"Randall, J.E., Rogers, C., and Ogden, J.C., 2019, The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus): Aqua, v. 25, no. 2, p. 53-80.","productDescription":"18 p.","startPage":"53","endPage":"80","ipdsId":"IP-107516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366878,"type":{"id":15,"text":"Index Page"},"url":"https://aqua-aquapress.com/the-circumtropical-swarm-population-of-the-longspined-porcupinefish-diodon-holocanthus-linnaeus/"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Randall, John E","contributorId":218417,"corporation":false,"usgs":false,"family":"Randall","given":"John","email":"","middleInitial":"E","affiliations":[{"id":39842,"text":"Bishop Museum, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":769206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":218416,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogden, John C","contributorId":218418,"corporation":false,"usgs":false,"family":"Ogden","given":"John","email":"","middleInitial":"C","affiliations":[{"id":39843,"text":"Emeritus Professor, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203055,"text":"70203055 - 2019 - Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","interactions":[],"lastModifiedDate":"2019-04-16T10:18:15","indexId":"70203055","displayToPublicDate":"2019-04-15T08:13:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","docAbstract":"Coexistence of ecologically similar species can be maintained by partitioning along one or more niche axes. Three-dimensional structural complexity is central to facilitating resource partitioning between many forest species, but is underrepresented in field-based studies. We examined resource selection by sympatric northern spotted owls (Strix occidentalis caurina), a threatened species under the US Endangered Species Act, and nonnative barred owls (S. varia) in western Oregon, USA to explore the relative importance of canopy heterogeneity, vertical complexity of forest, and abiotic features to resource selection and identify potential differences that may facilitate long-term coexistence. We predicted that within home range selection of understory densities, measured with airborne lidar, would differ between species based on proportional differences in arboreal and terrestrial prey taken by each owl species. We used discrete choice models and telemetry data from 41 spotted owls and 38 barred owls monitored during 2007–2009 and 2012–2015. Our results suggested that while both species used tall canopy areas more often than low canopy areas, spotted owls were more commonly found in areas with lower tree cover, more developed understory, and steeper slopes. This is the first evidence of\nfine-scale partitioning based on structural forest properties by northern spotted owls and barred owls.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42426-0","usgsCitation":"Jenkins, J.M., Lesmeister, D.B., Wiens, D., Kane, J.T., Kane, V.R., and Verschuyl, J.V., 2019, Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry: Scientific Reports, v. 9, p. 1-10, https://doi.org/10.1038/s41598-019-42426-0.","productDescription":"Article 6036; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-099120","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42426-0","text":"Publisher Index Page"},{"id":362969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.21142578125,\n              43.265206318396025\n            ],\n            [\n              -123.42041015624999,\n              43.265206318396025\n            ],\n            [\n              -123.42041015624999,\n              43.872158236415416\n            ],\n            [\n              -124.21142578125,\n              43.872158236415416\n            ],\n            [\n              -124.21142578125,\n              43.265206318396025\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Julianna M","contributorId":214850,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","middleInitial":"M","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":760965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":760966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","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":760964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Jonathan T","contributorId":214851,"corporation":false,"usgs":false,"family":"Kane","given":"Jonathan","email":"","middleInitial":"T","affiliations":[{"id":39124,"text":"University of Washington, School of Environmental and Forest Sciences","active":true,"usgs":false}],"preferred":false,"id":760967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Van R.","contributorId":194879,"corporation":false,"usgs":false,"family":"Kane","given":"Van","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verschuyl, Jake V","contributorId":207280,"corporation":false,"usgs":false,"family":"Verschuyl","given":"Jake","email":"","middleInitial":"V","affiliations":[],"preferred":false,"id":760969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203044,"text":"70203044 - 2019 - Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?","interactions":[],"lastModifiedDate":"2020-02-06T10:32:17","indexId":"70203044","displayToPublicDate":"2019-04-12T16:24:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?","docAbstract":"The question of wetland connectivity is particularly relevant regarding depressional wetlands because these wetlands often seem to be “isolated” from other wetlands on a landscape. In this study, multi-element fingerprinting of soils was used to assess similarity in element composition of depressional-wetland soils as a measure of wetland connectivity. We determined the concentrations of 63 elements in the surface soil (top 10 cm) for ten sequences, each consisting of at least one recharge, one flow-through and one discharge depressional wetland in the Prairie Pothole Region of North Dakota. Across all wetlands, soil pH, organic matter content, and electrical conductivity were the most important variables explaining variation in element concentrations. Electrical conductivity and pH significantly increased along a recharge to flow-through to discharge gradient, as did concentrations of As, B, Ca, Co, Hf, Li, Mg, Na, S, Sb, and Sr. Concentrations of Ag, Cd, Cu, P, Pb, Rb, and Se showed the reverse pattern. Similarity-tree analysis revealed that recharge and discharge wetlands clustered in different groups, but that flow-through wetlands were distributed across the spectrum. Our study supports the idea that wetlands in the PPR are chemically connected through surface-water and groundwater flows, and erosional processes, but also behave as independent units within a larger hydrologic landscape.","language":"English","publisher":"Springer","doi":"10.1007/s13157-019-01154-x","usgsCitation":"Xiaoyan Zhu, Yuan, Y., Mushet, D.M., and Marinus L. Otte, 2019, Can multi-element fingerprinting of soils inform assessments of chemical connectivity between depressional wetlands?: Wetlands, v. 39, p. 1015-1027, https://doi.org/10.1007/s13157-019-01154-x.","productDescription":"13 p.","startPage":"1015","endPage":"1027","ipdsId":"IP-099303","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.2669,47.3268],[-98.8466,47.327],[-98.8392,47.327],[-98.8232,47.3272],[-98.8152,47.3271],[-98.4991,47.327],[-98.467,47.3266],[-98.4677,47.2402],[-98.4685,46.9788],[-98.4412,46.9789],[-98.4396,46.6296],[-98.7894,46.6294],[-99.0379,46.6309],[-99.1616,46.6317],[-99.4122,46.6316],[-99.4498,46.6319],[-99.4477,46.8044],[-99.4476,46.9788],[-99.4821,46.9795],[-99.4824,47.0089],[-99.4822,47.0162],[-99.4821,47.0249],[-99.4826,47.0396],[-99.4827,47.1558],[-99.4801,47.3267],[-99.2669,47.3268]]]},\"properties\":{\"name\":\"Stutsman\",\"state\":\"ND\"}}]}","volume":"39","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Xiaoyan Zhu","contributorId":214830,"corporation":false,"usgs":false,"family":"Xiaoyan Zhu","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yuan, Yuxiang","contributorId":214831,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuxiang","email":"","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marinus L. Otte","contributorId":214832,"corporation":false,"usgs":false,"family":"Marinus L. Otte","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":760919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204568,"text":"70204568 - 2019 - The rise of an apex predator following deglaciation","interactions":[],"lastModifiedDate":"2020-02-19T13:39:34","indexId":"70204568","displayToPublicDate":"2019-04-11T10:43:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"The rise of an apex predator following deglaciation","docAbstract":"<div id=\"ddi12908-sec-0001\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Aim</h3><p>Sea otters (<i>Enhydra lutris</i>) are an apex predator of the nearshore marine community and nearly went extinct at the turn of the 20th century. Reintroductions and legal protection allowed sea otters to re‐colonize much of their former range. Our objective was to chronicle the colonization of this apex predator in Glacier Bay, Alaska, to help understand the mechanisms that governed their successful colonization.</p></div><div id=\"ddi12908-sec-0002\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Location</h3><p>Glacier Bay is a tidewater glacier fjord in southeastern Alaska that was entirely covered by glaciers in the mid‐18th century. Since then, it has endured the fastest tidewater glacier retreat in recorded history.</p></div><div id=\"ddi12908-sec-0003\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Methods</h3><p>We collected and analysed several data sets, spanning 20&nbsp;years, to document the spatio‐temporal dynamics of an apex predator expanding into an area where they were formerly absent. We used novel quantitative tools to model the occupancy, abundance and colonization dynamics of sea otters, while accounting for uncertainty in the data collection process, the ecological process and model parameters.</p></div><div id=\"ddi12908-sec-0004\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Results</h3><p>Twenty years after sea otters were first observed colonizing Glacier Bay, they became one of the most abundant and widely distributed marine mammal. The population grew exponentially at a rate of 20% per year. They colonized Glacier Bay at a maximum rate of 6&nbsp;km per year, with faster colonization rates occurring early in the colonization process. During colonization, sea otters selected shallow areas, close to shore, with a steep bottom slope, and a relatively simple shoreline complexity index.</p></div><div id=\"ddi12908-sec-0005\" class=\"article-section__content\"><h3 class=\"article-section__sub-title section1\">Main conclusions</h3><p>The growth and expansion of sea otters in Glacier Bay demonstrate how legal protection and translocation of apex predators can facilitate their successful establishment into a community in which they were formerly absent. The success of sea otters was, in part, a consequence of habitat that was left largely unperturbed by humans for the past 250&nbsp;years. Further, sea otters and other marine predators, whose distribution is limited by ice, have the potential to expand in distribution and abundance, reshaping future marine communities in the wake of deglaciation and global loss of sea ice.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12908","usgsCitation":"Hooten, M., and Esslinger, G.G., 2019, The rise of an apex predator following deglaciation: Diversity and Distributions, v. 25, no. 6, p. 895-908, https://doi.org/10.1111/ddi.12908.","productDescription":"14 p.","startPage":"895","endPage":"908","ipdsId":"IP-085724","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":460409,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12908","text":"Publisher Index Page"},{"id":366213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -137.779541015625,\n              58.82511777083639\n            ],\n            [\n              -134.7802734375,\n              56.23724470041031\n            ],\n            [\n              -133.87939453125,\n              57.314657355733274\n            ],\n            [\n              -134.593505859375,\n              57.92068300017787\n            ],\n            [\n              -136.12060546875,\n              59.2377959767454\n            ],\n            [\n              -137.779541015625,\n              58.82511777083639\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"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":767602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":767603,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203052,"text":"70203052 - 2019 - To forage or flee: Lessons from an elk migration near a protected area","interactions":[],"lastModifiedDate":"2019-04-17T07:46:40","indexId":"70203052","displayToPublicDate":"2019-04-11T08:55:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"To forage or flee: Lessons from an elk migration near a protected area","docAbstract":"Alteration of wide-ranging wildlife migrations can drastically impact the structure and function of ecosystems, yet the causes and consequences of shifting migration patterns remain largely unknown. Management decisions made in one portion of a landscape may induce spatial and temporal shifts of wildlife use in another, creating tension among private, state, and federal lands with varying missions. Recent declines in migratory behavior have initiated studies focused primarily on spring migration, but the timing and benefits of autumn migration have received limited attention due to the difficulty in assessing the extreme asynchrony in autumnal events, although nutrition during this time period is crucial to winter survival and reproduction. Here, we used five years of data from 73 female elk (Cervus canadensis) which utilize a landscape managed by 4 federal agencies, a state, and private landowners, to identify the driving factors behind the initiation of fall migration in two subpopulations, one of which migrates to a protected area where hunting is prohibited. Most elk departed summer range prior to frost or snow, with 67% of elk that used the protected area migrating prior to the onset of archery hunting season (1 September), preemptively avoiding risk, while no elk from the other subpopulation left prior to archery season. However, departure from productive summer range prior to frost or snow, nearly two months before vegetation senescence led to an important tradeoff. Early migrants gave up 0.30% of late summer-fall integrated NDVI (iNDVI) per day when they moved to the safety of the protected area, leading to an average difference of 15.81% in iNDVI between an individual departing on 30 August (the mean departure date) versus an individual departing on 1 November. Our results suggest that in areas where migratory ungulates span multiple jurisdictions, the benefits of migratory behavior may be dramatically impacted by unevenly distributed anthropogenic disturbance. As this is a common scenario globally, our work highlights the urgent need to improve our understanding of subtle changes in migratory behavior, both spatially and temporally, which may erode the resilience of migration to future change.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2693","usgsCitation":"Mikle, N., Graves, T.A., and Olexa, E.M., 2019, To forage or flee: Lessons from an elk migration near a protected area: Ecosphere, v. 10, no. 4, p. 1-15, https://doi.org/10.1002/ecs2.2693.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-083503","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2693","text":"Publisher Index Page"},{"id":362975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Southwest Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[-104.053107,42.49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 \"}}]}","volume":"10","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mikle, Nathaniel 0000-0002-6529-8210 nmikle@usgs.gov","orcid":"https://orcid.org/0000-0002-6529-8210","contributorId":177026,"corporation":false,"usgs":true,"family":"Mikle","given":"Nathaniel","email":"nmikle@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Tabitha A. 0000-0001-5145-2400 tgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":5898,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha","email":"tgraves@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olexa, Edward M. 0000-0002-2000-6798 eolexa@usgs.gov","orcid":"https://orcid.org/0000-0002-2000-6798","contributorId":4448,"corporation":false,"usgs":true,"family":"Olexa","given":"Edward","email":"eolexa@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":760950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203170,"text":"70203170 - 2019 - Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades","interactions":[],"lastModifiedDate":"2019-09-04T14:54:34","indexId":"70203170","displayToPublicDate":"2019-04-10T16:38:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades","docAbstract":"<div class=\"abstract toc-section\"><p>The Burmese python (<i>Python bivittatus</i>) is now established as a breeding population throughout south Florida, USA. However, the extent of the invasion, and the ecological impacts of this novel apex predator on animal communities are incompletely known, in large part because Burmese pythons (hereafter “pythons”) are extremely cryptic and there has been no efficient way to detect them. Pythons are recently confirmed nest predators of long-legged wading bird breeding colonies (orders Ciconiiformes and Pelecaniformes). Pythons can consume large quantities of prey and may not be recognized as predators by wading birds, therefore they could be a particular threat to colonies. To quantify python occupancy rates at tree islands where wading birds breed, we utilized environmental DNA (eDNA) analysis—a genetic tool which detects shed DNA in water samples and provides high detection probabilities. We fitted multi-scale Bayesian occupancy models to test the prediction that pythons occupy islands with wading bird colonies at higher rates compared to representative control islands containing no breeding birds. Our results suggest that pythons are widely distributed across the central Everglades in proximity to active wading bird colonies. In support of our prediction that pythons are attracted to colonies, site-level python eDNA occupancy rates were higher at wading bird colonies (ψ = 0.88, 95% credible interval [0.59–1.00]) than at the control islands (ψ = 0.42 [0.16–0.80]) in April through June (n = 15 colony-control pairs). We found our water temperature proxy (time of day) to be informative of detection probability, in accordance with other studies demonstrating an effect of temperature on eDNA degradation in occupied samples. Individual sample concentrations ranged from 0.26 to 38.29 copies/μL and we generally detected higher concentrations of python eDNA in colony sites. Continued monitoring of wading bird colonies is warranted to determine the effect pythons are having on populations and investigate putative management activities.</p></div><div id=\"figure-carousel-section\"><br data-mce-bogus=\"1\"></div>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0213943","usgsCitation":"Orzechowski, S.C., Frederick, P.C., Dorazio, R., and Hunter, M., 2019, Environmental DNA sampling reveals high occupancy rates of invasive Burmese pythons at wading bird breeding aggregations in the central Everglades: PLoS ONE, v. 14, no. 4, e0213943; 18 p., https://doi.org/10.1371/journal.pone.0213943.","productDescription":"e0213943; 18 p.","ipdsId":"IP-104085","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467710,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0213943","text":"Publisher Index Page"},{"id":437501,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FKPZMB","text":"USGS data release","linkHelpText":"Burmese python environmental DNA data, and environmental covariates, collected from wading bird aggregations and control sites in the Greater Everglades Ecosystem, United States, in 2017"},{"id":363212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Orzechowski, Sophia C. M.","contributorId":215039,"corporation":false,"usgs":false,"family":"Orzechowski","given":"Sophia","email":"","middleInitial":"C. M.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":761497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederick, Peter C.","contributorId":215042,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":39161,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, United States of America","active":true,"usgs":false}],"preferred":false,"id":761498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dorazio, Robert M. 0000-0003-2663-0468","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":215040,"corporation":false,"usgs":false,"family":"Dorazio","given":"Robert M.","affiliations":[{"id":39162,"text":"Department of Biology, San Francisco State University, San Francisco, California, United States of America","active":true,"usgs":false}],"preferred":false,"id":761499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":215041,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761496,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203423,"text":"70203423 - 2019 - Iron and sulfide nanoparticle formation and transport in nascent hydrothermal vent plumes","interactions":[],"lastModifiedDate":"2019-07-23T13:53:32","indexId":"70203423","displayToPublicDate":"2019-04-08T12:32:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Iron and sulfide nanoparticle formation and transport in nascent hydrothermal vent plumes","docAbstract":"Deep-sea hydrothermal vents are a significant source of dissolved metals to the global oceans, producing midwater plumes enriched in metals that are transported thousands of kilometers from the vent source. Extensive particle precipitation upon emission of hydrothermal fluids, due to temperature and pH changes during mixing with ambient seawater, controls metal speciation and the magnitude of metal export. Here, we document the formation and spatial distribution of metal sulfide particles, including pyrite (nano)particles, within the first meter of buoyant plumes from three high-temperature hydrothermal vents at the East Pacific Rise (9°50’ N). We observe a zone of particle settling 10 – 20 cm from the orifice, indicated by the stable sulfur isotope distribution of sulphide in the plume; however, we also demonstrate that nanoparticulate pyrite (FeS2) is not removed from the plume and can account for over half of the filtered Fe (≤ 0.2 µm) up to one meter from the vent orifice. The persistence of nanoparticulate pyritic Fe beyond the first meter demonstrates that it is an important mechanism for near-vent Fe stabilisation that may further allow transport of Fe to midwater plumes, and highlights the potential role of nanoparticles in element transport.","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-09580-5","usgsCitation":"Findlay, A.J., Estes, E., Gartman, A., Kamyshny, A., Yucel, M., and Luther, G.W., 2019, Iron and sulfide nanoparticle formation and transport in nascent hydrothermal vent plumes: Nature Communications, v. 10, Article 1597, 7 p., https://doi.org/10.1038/s41467-019-09580-5.","productDescription":"Article 1597, 7 p.","ipdsId":"IP-104755","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-09580-5","text":"Publisher Index Page"},{"id":363775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Findlay, Alyssa J.","contributorId":215547,"corporation":false,"usgs":false,"family":"Findlay","given":"Alyssa","email":"","middleInitial":"J.","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":762640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estes, Emily","contributorId":215548,"corporation":false,"usgs":false,"family":"Estes","given":"Emily","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":762641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":215546,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":762639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamyshny, Alexey","contributorId":215549,"corporation":false,"usgs":false,"family":"Kamyshny","given":"Alexey","email":"","affiliations":[{"id":39275,"text":"Ben-Gurion University","active":true,"usgs":false}],"preferred":false,"id":762642,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yucel, Mustafa","contributorId":215550,"corporation":false,"usgs":false,"family":"Yucel","given":"Mustafa","email":"","affiliations":[{"id":39276,"text":"Middle-East Technical University","active":true,"usgs":false}],"preferred":false,"id":762643,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luther, George W.","contributorId":215551,"corporation":false,"usgs":false,"family":"Luther","given":"George","email":"","middleInitial":"W.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":762644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205438,"text":"70205438 - 2019 - Top-down effect of repatriating bald eagles hinder jointly recovering competitors","interactions":[],"lastModifiedDate":"2019-09-18T18:11:45","indexId":"70205438","displayToPublicDate":"2019-04-05T18:01:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Top-down effect of repatriating bald eagles hinder jointly recovering competitors","docAbstract":"<p>1. The recovery of piscivorous birds around the world is touted as one of the great conservation successes of the 21st century, but for some species, this success was short-lived. Bald eagles, ospreys, and great blue herons began repatriating Voyageurs National Park, USA, in the mid-20th century. However, after 1990, only eagles continued their recovery, while osprey and heron recovery failed for unknown reasons. </p><p>2. We aimed to evaluate whether top-down effects of bald eagles, and bottom-up effects of inclement weather, habitat quality, and fish resources contributed to the failed recovery of ospreys and herons in a protected area. </p><p>3. We quantified the relative influence of top-down and bottom-up factors on nest colonization, persistence (i.e., nest reuse) and success for ospreys, and occurrence and size of heronries using 26 years (1986-2012) of spatially-explicit monitoring data coupled with multi-response hierarchical models and Bayesian variable selection approaches. </p><p>4. Bald eagles were previously shown to recover faster due to intensive nest protection and management. Increased numbers of eagles were associated with a reduction in the numbers of osprey nests, their nesting success, and heronry size; while higher local densities of nesting eagles deterred heronries nearby. We found little evidence of bottom-up limitations on the failed recovery of herons and ospreys. </p><p>5. We present a conservation conundrum: bald eagles are top predators and a flagship species of conservation that have benefited from intensive protection, but this likely hindered the recovery of ospreys and herons. Returning top predators, or rewilding, is widely promoted as a conservation strategy for top-down ecosystem recovery, but managing top predators in isolation of jointly recovering species can halt or reverse ecosystem recovery. Previous studies warn of the potential consequences of ignoring biotic interactions amongst recovering species, but we go further by quantifying how these interactions contributed to failed recoveries via impacts on the nesting demography of jointly recovering species. Multi-species management is paramount to realizing the ecosystem benefits of top predator recovery.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.12990","usgsCitation":"Cruz, J., Windels, S.K., Thogmartin, W.E., Crimmins, S., Grim, L.H., Larson, J.H., and Zuckerberg, B., 2019, Top-down effect of repatriating bald eagles hinder jointly recovering competitors: Journal of Animal Ecology, v. 88, no. 7, p. 1054-1065, https://doi.org/10.1111/1365-2656.12990.","productDescription":"12 p.","startPage":"1054","endPage":"1065","ipdsId":"IP-101998","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.12990","text":"Publisher Index Page"},{"id":367533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.22586059570312,\n              48.10743118848039\n            ],\n            [\n              -92.50350952148438,\n              48.10743118848039\n            ],\n            [\n              -92.50350952148438,\n              48.608397925562606\n            ],\n            [\n              -93.22586059570312,\n              48.608397925562606\n            ],\n            [\n              -93.22586059570312,\n              48.10743118848039\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cruz, Jennyffer","contributorId":202194,"corporation":false,"usgs":false,"family":"Cruz","given":"Jennyffer","email":"","affiliations":[{"id":36365,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin – Madison","active":true,"usgs":false}],"preferred":false,"id":771177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":771178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":771176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crimmins, Shawn M.","contributorId":202196,"corporation":false,"usgs":false,"family":"Crimmins","given":"Shawn M.","affiliations":[{"id":36367,"text":"College of Natural Resources, University of Wisconsin – Stevens Point","active":true,"usgs":false}],"preferred":false,"id":771179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grim, Leland H.","contributorId":219062,"corporation":false,"usgs":false,"family":"Grim","given":"Leland","email":"","middleInitial":"H.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":771180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":771182,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202931,"text":"70202931 - 2019 - Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions","interactions":[],"lastModifiedDate":"2019-04-05T12:54:14","indexId":"70202931","displayToPublicDate":"2019-04-05T08:59:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions","docAbstract":"<p><span>Spatially preferential flow processes occur at nested scales at the sediment-water interface (SWI), due in part to sediment heterogeneities, which may be enhanced in flashy urban streams with heavy road sand influence. However, several factors, including the flow-rate dependence of preferential hyporheic flow and discrete groundwater discharge zones are commonly overlooked in reach-scale models of groundwater/surface water exchange. Using a series of controlled-head tracer-injection experiments coupled with cm-scale geophysics within the highly reactive upper 30 cm of the hyporheic zone of an urban stream, we quantified the flow dependence of local less-mobile porosity volume, mass-transfer rate coefficient, and the resulting local residence time in the less-mobile pore space at three controlled downward fluid fluxes (0.8, 2, and 3 m/d). Experiments were performed in two adjacent streambed locations, representing different sediment bulk vertical permeability. Less-mobile porosity parameters were generally substantial and similar between the two streambed locations; though a more competent, thin, organic layer at ∼15 cm depth in one location strongly impacted tracer loading, flushing dynamics, and local residence times. Increased downward flux led to (1) a decrease in less-mobile porosity residence time in all experiments, and (2) an increase in less-mobile porosity fraction for most experiments. Additionally, at the larger stream reach-scale, surface electrodes for electrical resistivity measurement were installed along 22 m of the wetted stream channel. These surface electrode measurements were collected during a natural storm flow event, which revealed widespread, short-term, flushing (e.g. &lt;3 h) of the hyporheic zone with stream water, followed by longer-term (e.g. &gt;60 h) flushing of the SWI with riparian zone groundwater. Flow dependence of preferential hyporheic zone flowpaths, like in the controlled tracer experiments, was also observed in these reach-scale electrical resistivity tomography measurements. Our findings reveal that the spatial and temporal dependence of preferential flow processes create highly dynamic SWI conditions that will affect the physical and coupled biogeochemical functions of the SWI in urbanized, sand-impacted streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.03.022","usgsCitation":"Dehkordy, F.M., Briggs, M.A., Day-Lewis, F.D., Singha, K., Krajnovich, A., Hampton, T.B., Zarnetske, J.P., Scruggs, C.R., and Bagtzoglou, A.C., 2019, Multi-scale preferential flow processes in an urban streambed under variable hydraulic conditions: Journal of Hydrology, v. 573, p. 168-179, https://doi.org/10.1016/j.jhydrol.2019.03.022.","productDescription":"12 p.","startPage":"168","endPage":"179","ipdsId":"IP-104970","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2019.03.022","text":"Publisher Index Page"},{"id":362811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"573","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dehkordy, Farzaneh MahmoodPoor","contributorId":214661,"corporation":false,"usgs":false,"family":"Dehkordy","given":"Farzaneh","email":"","middleInitial":"MahmoodPoor","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":760524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":760525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krajnovich, Ashton","contributorId":214671,"corporation":false,"usgs":false,"family":"Krajnovich","given":"Ashton","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":760527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Tyler B.","contributorId":210072,"corporation":false,"usgs":false,"family":"Hampton","given":"Tyler","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":760529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":760530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bagtzoglou, Amvrossios C.","contributorId":211518,"corporation":false,"usgs":false,"family":"Bagtzoglou","given":"Amvrossios","email":"","middleInitial":"C.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":760531,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70202939,"text":"70202939 - 2019 - Which trees die during drought?  The key role of insect host-tree selection","interactions":[],"lastModifiedDate":"2019-08-29T11:36:00","indexId":"70202939","displayToPublicDate":"2019-04-03T12:31:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Which trees die during drought?  The key role of insect host-tree selection","docAbstract":"1.  During drought, the tree subpopulations (such as size or vigor classes) that suffer disproportionate mortality can be conceptually arrayed along a continuum defined by the actions of biotic agents, particularly insects.  At one extreme, stress dominates:  insects are absent or simply kill the most physiologically stressed trees.  At the opposite extreme, host selection dominates:  outbreaking insects kill trees independently of their stress, instead selecting trees based on size or other traits.  Intermediate responses are also possible.  Yet for mixed-species forests, we lack a broad understanding of the relative importance of insects in determining exactly which subpopulations of trees suffer disproportionate mortality during drought, and whether these subpopulations differ among co-occurring tree species.\n2.  During an extreme drought, we documented the roles of native bark beetles in the mortality of five tree species in California’s Sierra Nevada.  We analyzed patterns and agents of tree mortality in 12 permanent plots, and patterns of mortality in 89 temporary plots.\n3.  Most tree mortality was associated with bark beetles.  But the growth rates (an indicator of chronic stress) and sizes of trees that suffered greatest bark-beetle-related mortality differed sharply among tree taxa, variously conforming with domination by stress (Abies concolor), domination by host selection (Pinus lambertiana and P. ponderosa), or a mix of the two (Calocedrus decurrens).  Quercus kelloggii mortality remained relatively low.  Thus, even during extreme drought substantial proportions of stressed trees survived because they were of sizes that mostly avoided fatal insect attack.  Conversely, substantial proportions of comparatively unstressed trees died because they were of sizes that were selectively killed by outbreaking insects.\n4.  Synthesis.  Native bark beetles were primarily responsible for determining which subpopulations of trees suffered greatest mortality during drought.  However, idiosyncratic host-tree selection by the different bark beetle taxa meant that the tree subpopulations suffering greatest mortality differed strikingly among tree taxa – for example, high mortality of small trees of one species, but of large trees of another.  If idiosyncratic host-tree selection by biotic mortality agents proves to be a generally common phenomenon, it could help explain weak broad-scale correlations between tree traits and tree mortality during drought.","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13176","usgsCitation":"Stephenson, N.L., Das, A., Ampersee, N.J., Bulaon, B.M., and Yee, J.L., 2019, Which trees die during drought?  The key role of insect host-tree selection: Journal of Ecology, v. 107, no. 5, p. 2383-2401, https://doi.org/10.1111/1365-2745.13176.","productDescription":"19 p.","startPage":"2383","endPage":"2401","ipdsId":"IP-106398","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467735,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13176","text":"Publisher Index Page"},{"id":437511,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99RNGXH","text":"USGS data release","linkHelpText":"Tree mortality in Sequoia National Park from 2004 to 2007 and during severe drought in 2014 to 2017"},{"id":362836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"5","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian J. 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":3842,"corporation":false,"usgs":true,"family":"Das","given":"Adrian J.","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ampersee, Nicholas J. 0000-0002-3950-3110 nampersee@usgs.gov","orcid":"https://orcid.org/0000-0002-3950-3110","contributorId":200203,"corporation":false,"usgs":true,"family":"Ampersee","given":"Nicholas","email":"nampersee@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":760558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bulaon, Beverly M","contributorId":214684,"corporation":false,"usgs":false,"family":"Bulaon","given":"Beverly","email":"","middleInitial":"M","affiliations":[{"id":39106,"text":"USDA Forest Service Forest Health Protection, South Sierra Shared Service Area, Stanislaus National Forest","active":true,"usgs":false}],"preferred":false,"id":760559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":760560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201729,"text":"70201729 - 2019 - Mini-columns and ghost columns in Columbia river lava","interactions":[],"lastModifiedDate":"2019-06-13T11:12:48","indexId":"70201729","displayToPublicDate":"2019-04-01T13:52:49","publicationYear":"2019","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":"Mini-columns and ghost columns in Columbia river lava","docAbstract":"<p><span>The master joints bounding the columns that make up the basal colonnade of large lava flows of the Columbia Plateau are, in places, flanked by sub-horizontal mini-columns that have grown normal to the master joints. The secondary mini-columns grow into the main columns and are clearly younger than them. They are small adjacent to the master joint, but merge together and thicken away from the fracture toward the master column interior. Commonly the mini-columns are one-half meter in length and 2–12 cm in diameter. Where the horizontal mini-columns grow longer they intersect toward the middle of the master joints. This plexus of joints changes the aspect of the original master columns making them almost unrecognizable producing&nbsp;</span><i>ghost columns</i><span>. The basalt flow may acquire an entablature-like appearance where the ghost column outlines disappear due to extensive secondary fracturing. At the time that the hot flow center had cooled sufficiently below the brittle-plastic transformation, the primary vertical basal colonnade joints growing up from the bottom connected with those in the upper colonnade growing down. This allowed steam trapped beneath the flow to be released to the surface and ushered in a change from a conduction-cooling regime to a convection-cooling regime. The steam beneath the flow was formed and sustained by heat from the lava that boiled the groundwater in the underlying substrate. Large volumes of the rising steam was on average much cooler than the hot fractures in the flow interior through which it passed, causing contraction of the master column walls to produce the secondary horizontal mini-columns. The presence of mini-columns indicates emplacement of lava over moist ground and are absent where the lavas advanced across arid areas or flowed over recently-erupted lava. The extreme shattering that forms ghost columns by late stage convective cooling can produce a flow layer of considerable thickness, a layer that can later serve as an aquifer with high porosity and permeability.</span></p>","language":"English","publisher":"Springer","doi":"10.1016/j.jvolgeores.2019.01.015","usgsCitation":"Moore, J.G., 2019, Mini-columns and ghost columns in Columbia river lava: Journal of Volcanology and Geothermal Research, v. 374, p. 242-251, https://doi.org/10.1016/j.jvolgeores.2019.01.015.","productDescription":"10 p.","startPage":"242","endPage":"251","ipdsId":"IP-093155","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2019.01.015","text":"Publisher Index Page"},{"id":360755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"374","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022c1e4b0708288f7e7d0","contributors":{"authors":[{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":755040,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203001,"text":"70203001 - 2019 - Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data","interactions":[],"lastModifiedDate":"2019-04-11T13:46:12","indexId":"70203001","displayToPublicDate":"2019-04-01T13:45:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data","docAbstract":"Fine scale maps of soil properties enable efficient land management and inform earth system models. Recent efforts to create soil property maps from field observations tend to use similar tree-based machine learning interpolation approaches, but often deal with depth of predictions, validation, and uncertainty differently. One of the main differences in approaches is whether to model individual depths of interest separately as ‘2D’ models, or to create models that incorporate depth as a predictor variable creating a ‘3D’ model that can make pre-dictions for all depths. It is unclear how choice of 2D or 3D approach influences model accuracy and uncertainty due to lack of direct comparison and inconsistent presentation of results in past studies. This study compares 2D and 3D methods for mapping soil electrical conductivity (salinity), pH, sum of fine and very fine sands, and organic carbon at 30 m resolution for the upper 432,000 km 2 of the Colorado River Watershed of the United States of America. A new, simple, model-agnostic relative prediction interval (RPI) approach to report un-certainty is presented that scales prediction interval width to the 95% interquantile width of the original training sample distribution. The RPI approach enables direct comparison of uncertainty between properties and depths and is easily interpretable by end users. Results indicate that 3D mapping of soil properties with strong variation with depth can result in substantial areas with much higher uncertainty that coincide with unrealistic predictions relative to 2D models, even though 3D models had slightly better global cross-validation scores. Maps and global model summaries of RPI proved helpful in identifying these issues with 3D models. These results suggest that the use of RPI or similar approaches to evaluate models can identify accuracy problems not evident in global va-lidation diagnostics.","language":"English","publisher":"ELsevier","doi":"10.1016/j.geoderma.2019.03.037","usgsCitation":"Nauman, T., and Duniway, M.C., 2019, Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data: Geoderma, v. 347, p. 170-184, https://doi.org/10.1016/j.geoderma.2019.03.037.","productDescription":"15 p.","startPage":"170","endPage":"184","ipdsId":"IP-102589","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467743,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2019.03.037","text":"Publisher Index Page"},{"id":437517,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YBAKC2","text":"USGS data release","linkHelpText":"Predictive maps of 2D and 3D surface soil properties and associated uncertainty for the Upper Colorado River Basin, USA"},{"id":362917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"347","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nauman, Travis","contributorId":214769,"corporation":false,"usgs":true,"family":"Nauman","given":"Travis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":760738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204600,"text":"70204600 - 2019 - Effects of short-term, outdoor head-starting on growth and survival in the mojave desert tortoise (gopherus agassizii)","interactions":[],"lastModifiedDate":"2020-12-15T21:30:51.796161","indexId":"70204600","displayToPublicDate":"2019-04-01T11:14:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of short-term, outdoor head-starting on growth and survival in the mojave desert tortoise (<i>Gopherus agassizii</i>)","title":"Effects of short-term, outdoor head-starting on growth and survival in the mojave desert tortoise (gopherus agassizii)","docAbstract":"<div class=\"rendering rendering_researchoutput  rendering_researchoutput_abstractportal rendering_contributiontojournal rendering_abstractportal rendering_contributiontojournal_abstractportal\"><div class=\"textblock\"><p>The combination of life-history traits that makes some turtle species vulnerable to population declines also limits their ability to recover even after threats have been addressed. Because juvenile turtle survival is typically lower than adult survival, head-starting, the process of rearing juveniles through one of their most vulnerable periods, may be a useful recovery tool. We evaluated short-term, outdoor head-starting in Mojave Desert Tortoises (<i>Gopherus agassizii</i>) by comparing growth and survival among three treatments: (1) juveniles reared in outdoor predator-resistant enclosures and receiving low (LOW) or (2) high levels of rain supplementation (HIGH); and (3) free-ranging animals released 0-18 mo after hatching (FIELD). Juveniles from the HIGH treatment had higher annual growth (12.7 mm midline carapace length [MCL] per year) than juveniles from the LOW or FIELD treatments (10.7 mm). Annual growth also varied among years, presumably due to variation in rainfall. Annual survival was high (0.94 ± 0.01) for both LOW and HIGH treatments; MCL at hatching had a weak positive effect on survival probability (effect size: 0.42 ± 0.35). Annual survival of FIELD animals averaged 0.48 ± 0.09. There was no effect of size at release (40.8-61.5 mm MCL) on post-release survival of FIELD animals, suggesting that the greatest benefit of short-term outdoor head-starting is increasing survival during the head-start period. Although releasing at larger sizes (100 mm MCL) has been recommended, slow growth in tortoises would require extended outdoor head-starting periods. Indoor rearing, which has been successfully implemented with other turtle species, may increase growth rates of juvenile Desert Tortoises and warrants future study as a conservation technique.</p></div></div>","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Tuberbille, T.D., Buhlmann, K.A., Sollmann, R., Nafus, M.G., Peaden, J.M., Daly, J.A., and Todd, B.D., 2019, Effects of short-term, outdoor head-starting on growth and survival in the mojave desert tortoise (gopherus agassizii): Herpetological Conservation and Biology, v. 14, no. 1, p. 171-184.","productDescription":"14 p.","startPage":"171","endPage":"184","ipdsId":"IP-092738","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":366294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366277,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol14_issue1.html"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tuberbille, Tracey D.","contributorId":217880,"corporation":false,"usgs":false,"family":"Tuberbille","given":"Tracey","email":"","middleInitial":"D.","affiliations":[{"id":37542,"text":"Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":767735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, Kurt A.","contributorId":217881,"corporation":false,"usgs":false,"family":"Buhlmann","given":"Kurt","email":"","middleInitial":"A.","affiliations":[{"id":37542,"text":"Savannah River Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":767736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sollmann, Rahel","contributorId":140852,"corporation":false,"usgs":false,"family":"Sollmann","given":"Rahel","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":767737,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":767734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. Mark","contributorId":217882,"corporation":false,"usgs":false,"family":"Peaden","given":"J.","email":"","middleInitial":"Mark","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":767738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daly, Jacob A.","contributorId":217883,"corporation":false,"usgs":false,"family":"Daly","given":"Jacob","email":"","middleInitial":"A.","affiliations":[{"id":39709,"text":"Center for Environmental Management of Military Lands, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":767739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Todd, Brian D.","contributorId":217884,"corporation":false,"usgs":false,"family":"Todd","given":"Brian","email":"","middleInitial":"D.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":767740,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206198,"text":"70206198 - 2019 - Patterns of primary production and ecological drought in Yellowstone","interactions":[],"lastModifiedDate":"2019-10-25T07:06:17","indexId":"70206198","displayToPublicDate":"2019-04-01T07:05:58","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3802,"text":"Yellowstone Science","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of primary production and ecological drought in Yellowstone","docAbstract":"Introduction: Photosynthesis converts sunlight into stored energy in millions of leaves, flowers and seeds that maintain the web of life in Yellowstone.  This transformation of energy fixes carbon, supplies organic matter to soils, and can become fuel for wildfire. As the first link of the food chain, new plant biomass is called primary production and provides energy to consumers, including wildlife.  While Yellowstone is a mountain environment with deep winter snowpack, the park can get very dry in some years as evidenced by massive wildfires in 1988 and 2016.  Droughts like these not only contribute to fire potential, but they affect primary production, the food chain and likely will play an increasingly important role in transforming vegetation structure and composition in the future.  Meteorological, agricultural, and hydrological drought have been assessed quantitatively for many years, but key indicators of drought in wildland ecosystems have not been formally defined until recently (Crausbay et al., 2017).  One promising new method to do this is by measuring how vegetation responds to negative effects of drought, and positive effects of favorable conditions that offset negative effects of drought.  The balance of drought stress and growth has important implications for future vegetation condition as the climate of Yellowstone changes.  \nMonitoring primary production, and predicting future vegetation changes are needed to provide a comprehensive view of park health and anticipate future ecosystem changes (Crabtree et al. 2009, Nemani et al. 2009).  Although an important indicator of ecosystem condition, primary production can be time and resource-intensive to monitor in wildland settings using traditional ground-based methods such as clipping and weighing.  Fortunately, ground-based methods can be complemented and enhanced by monitoring primary production with satellite imagery.  Measurements of solar radiation reflectance in visible and near infra-red wavelengths can indicate primary production at frequent weekly intervals from the Moderate Resolution Imaging Spectrometer (MODIS) on satellites operated by NASA. The Greater Yellowstone Inventory and Monitoring Network (GRYN) uses this information to track changes in primary production across Yellowstone over time.  They link these measurements to vegetation types, soils, and climate to understand where and when changes in production have occurred and may occur in the future.","language":"English","publisher":"National Park Service","usgsCitation":"Thoma, D.P., Munson, S.M., Rodman, A.W., Renkin, R., Anderson, H.M., and Wacker, S.D., 2019, Patterns of primary production and ecological drought in Yellowstone: Yellowstone Science, v. 27, no. 1, p. 34-39.","productDescription":"6 p.","startPage":"34","endPage":"39","ipdsId":"IP-112293","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":368590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368571,"type":{"id":11,"text":"Document"},"url":"https://www.nps.gov/articles/patterns-of-primary-production-ecological-drought-in-yellowstone.htm"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.09374999999999,\n              43.76712702120528\n            ],\n            [\n              -109.1766357421875,\n              43.76712702120528\n            ],\n            [\n              -109.1766357421875,\n              45.05412098425883\n            ],\n            [\n              -111.09374999999999,\n              45.05412098425883\n            ],\n            [\n              -111.09374999999999,\n              43.76712702120528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thoma, David P.","contributorId":197256,"corporation":false,"usgs":false,"family":"Thoma","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":773824,"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":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":773823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodman, Ann W.","contributorId":220027,"corporation":false,"usgs":false,"family":"Rodman","given":"Ann","email":"","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773825,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Renkin, Roy","contributorId":220028,"corporation":false,"usgs":false,"family":"Renkin","given":"Roy","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773826,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Heidi M.","contributorId":220029,"corporation":false,"usgs":false,"family":"Anderson","given":"Heidi","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773827,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wacker, Stephanie D.","contributorId":220030,"corporation":false,"usgs":false,"family":"Wacker","given":"Stephanie","email":"","middleInitial":"D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":773828,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203415,"text":"70203415 - 2019 - Factors controlling landslide frequency-area distributions","interactions":[],"lastModifiedDate":"2019-05-14T13:39:44","indexId":"70203415","displayToPublicDate":"2019-03-30T13:38:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Factors controlling landslide frequency-area distributions","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>A power‐law relation for the frequency–area distribution (FAD) of medium and large landslides (e.g. tens to millions of square meters) has been observed by numerous authors. But the FAD of small landslides diverges from the power‐law distribution, with a rollover point below which frequencies decrease for smaller landslides. Some studies conclude that this divergence is an artifact of unmapped small landslides due to lack of spatial or temporal resolution; others posit that it is caused by the change in the underlying failure process. An explanation for this dilemma is essential both to evaluate the factors controlling FADs of landslides and power‐law scaling, which is a crucial factor regarding both landscape evolution and landslide hazard assessment. This study examines the FADs of 45 earthquake‐induced landslide inventories from around the world in the context of the proposed explanations. We show that each inventory probably involves some combination of the proposed explanations, though not all explanations contribute to each case. We propose an alternative explanation to understand the reason for the divergence from a power‐law. We suggest that the geometry of a landslide at the time of mapping reflects not just one single movement but many, including the propagation of numerous smaller landslides before and after the main failure. Because only the resulting combination of these landslides can be observed due to a lack of temporal resolution, many smaller landslides are not taken into account in the inventory. This reveals that the divergence from the power‐law is not necessarily attributed to the incompleteness of an inventory. This conceptual model will need to be validated by ongoing observation and analysis. Also, we show that because of the subjectivity of mapping procedures, the total number of landslides and total landslide areas in inventories differ significantly, and therefore the shapes of FADs also differ considerably.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4543","usgsCitation":"Tanyas, H., van Westen, C.J., Allstadt, K.E., and Jibson, R.W., 2019, Factors controlling landslide frequency-area distributions: Earth Surface Processes and Landforms, v. 44, no. 4, p. 900-917, https://doi.org/10.1002/esp.4543.","productDescription":"18 p.","startPage":"900","endPage":"917","ipdsId":"IP-101359","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4543","text":"Publisher Index Page"},{"id":363784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363723,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/esp.4543"}],"volume":"44","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Tanyas, Hakan","contributorId":215531,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","email":"","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":762598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Westen, Cees J.","contributorId":196188,"corporation":false,"usgs":false,"family":"van Westen","given":"Cees","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":762599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":false,"id":762600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762601,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203635,"text":"70203635 - 2019 - Mercury concentrations vary within and among individual bird feathers: A critical evaluation and guidelines for feather use in mercury monitoring programs","interactions":[],"lastModifiedDate":"2019-11-20T08:22:55","indexId":"70203635","displayToPublicDate":"2019-03-29T14:44:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mercury concentrations vary within and among individual bird feathers: A critical evaluation and guidelines for feather use in mercury monitoring programs","docAbstract":"Feathers are widely used to represent mercury contamination in birds. Yet, few recommendations exist that provide guidance for using bird feathers in mercury monitoring programs. We conducted a literature review and 5 experiments to show that mercury concentrations vary substantially within (vane >100% higher than calamus) and among (>1000%) individual feathers from the same bird. We developed a research tool and guidelines for using bird feathers for mercury studies based on three components: 1) variability of feather mercury concentrations within an individual bird (coefficient of variation [CV]), 2) desired accuracy of the measured mercury concentration, and 3) feather and bird mass. Our results suggest a general rule that if the goal is to limit analytical and processing costs by using whole feathers in only one sample boat, then to achieve an accuracy within 10% of a bird’s overall average feather mercury concentration a bird with a CV≤10% must be <190 g (size of large shorebird). To achieve an accuracy within 20%, a bird with a CV≤10% must be <920 g (size of large duck). When >1 sample boat is needed to fit the required number of feathers to achieve the desired accuracy, results suggest homogenizing feathers and analyzing an aliquot of ≥20 mg for mercury. This study indicates increasing the number of feathers typically used per bird to assess mercury concentrations.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4430","usgsCitation":"Peterson, S.H., Ackerman, J., Toney, M., and Herzog, M.P., 2019, Mercury concentrations vary within and among individual bird feathers: A critical evaluation and guidelines for feather use in mercury monitoring programs: Environmental Toxicology and Chemistry, v. 38, no. 6, p. 1164-1187, https://doi.org/10.1002/etc.4430.","productDescription":"Article: 24 p.; Data release","startPage":"1164","endPage":"1187","ipdsId":"IP-104327","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467761,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4430","text":"Publisher Index Page"},{"id":364202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369354,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GBDP8C","text":"USGS data release","description":"USGS data release","linkHelpText":"Variability of mercury concentrations among whole bird feathers, feather homogenates, and feather components quantified in California in 2017-2018"}],"volume":"38","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-29","publicationStatus":"PW","contributors":{"authors":[{"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":763355,"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":763354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toney, Matthew 0000-0003-4146-9000 mtoney@usgs.gov","orcid":"https://orcid.org/0000-0003-4146-9000","contributorId":195229,"corporation":false,"usgs":true,"family":"Toney","given":"Matthew","email":"mtoney@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204108,"text":"70204108 - 2019 - Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","interactions":[],"lastModifiedDate":"2019-07-05T16:44:46","indexId":"70204108","displayToPublicDate":"2019-03-28T16:35:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Emerging investigator series: Atmospheric cycling of indium in the northeastern United States","docAbstract":"<p><span>Indium is critical to the global economy and is used in an increasing number of electronics and new energy technologies. However, little is known about its environmental behavior or impacts, including its concentrations or cycling in the atmosphere. This study determined indium concentrations in air particulate matter at five locations across the northeastern United States over the course of one year, in 1995. Historical records from a Massachusetts bog core showed that indium atmospheric concentrations in this region changed only modestly between 1995 and 2010. Atmospheric indium concentrations varied significantly both geographically and temporally, with average concentrations in PM</span><small><sub>3</sub></small><span>&nbsp;of 2.1 ± 1.6 pg m</span><small><sup>−3</sup></small><span>&nbsp;(1 standard deviation), and average particle-normalized concentrations of 0.2 ± 0.2 μg In per g PM</span><small><sub>3</sub></small><span>. Peaks in the particle-normalized concentrations in two New York sites were correlated with wind direction; air coming from the north contributed higher concentrations of indium than air coming from the west. This correlation, along with measurements of indium in zinc smelter emissions and coal fly ash, suggests that indium in the atmosphere in the northeastern United States comes from a relatively constant low-level input from coal combustion in the midwest, and higher but more sporadic contributions from the smelting of lead, zinc, copper, tin, and nickel north of the New York sample sites. Understanding the industrial sources of indium to the atmosphere and how they compare with natural sources can lead to a better understanding of the impact of human activities on the indium cycle, and may help to establish a baseline for monitoring future impacts as indium use grows.</span></p>","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8em00485d","usgsCitation":"White, S.J., and Hemond, H.F., 2019, Emerging investigator series: Atmospheric cycling of indium in the northeastern United States: Environmental Science: Processes and Impacts, v. 21, no. 4, p. 623-634, https://doi.org/10.1039/c8em00485d.","productDescription":"12 p.","startPage":"623","endPage":"634","ipdsId":"IP-104440","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":365317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York","city":"Boston, Brockport, Reading, Rochester, Thoreau's Bog","otherGeospatial":"Quabbin Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.31054687499999,\n              42.89206418807337\n            ],\n            [\n              -77.18994140625,\n              42.89206418807337\n            ],\n            [\n              -77.18994140625,\n              43.389081939117496\n            ],\n            [\n              -78.31054687499999,\n              43.389081939117496\n            ],\n            [\n              -78.31054687499999,\n              42.89206418807337\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.4658203125,\n              42.049292638686836\n            ],\n            [\n              -71.015625,\n              42.049292638686836\n            ],\n            [\n              -71.015625,\n              42.68243539838623\n            ],\n            [\n              -72.4658203125,\n              42.68243539838623\n            ],\n            [\n              -72.4658203125,\n              42.049292638686836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, Sarah Jane 0000-0002-4055-8207","orcid":"https://orcid.org/0000-0002-4055-8207","contributorId":216796,"corporation":false,"usgs":true,"family":"White","given":"Sarah","email":"","middleInitial":"Jane","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":765551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hemond, Harold F.","contributorId":34673,"corporation":false,"usgs":false,"family":"Hemond","given":"Harold","email":"","middleInitial":"F.","affiliations":[{"id":13299,"text":"Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA","active":true,"usgs":false}],"preferred":false,"id":765552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202838,"text":"70202838 - 2019 - HyCReWW: A hybrid coral reef wave and water level metamodel","interactions":[],"lastModifiedDate":"2019-03-28T15:20:55","indexId":"70202838","displayToPublicDate":"2019-03-28T15:19:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"HyCReWW: A hybrid coral reef wave and water level metamodel","docAbstract":"Wave-induced flooding is a major coastal hazard on tropical islands fronted by coral reefs. The variability of shape, size, and physical characteristics of the reefs across the globe make it difficult to obtain a parameterization of wave run-up, which is needed for risk assessments. Therefore, we developed the HyCReWW metamodel to predict wave run-up under a wide range of reef morphometric and offshore forcing characteristics. Due to the complexity and high dimensionality of the problem, we assumed an idealized one-dimensional reef profile, characterized by seven primary parameters. XBeach Non-Hydrostatic was chosen to create the synthetic dataset, and Radial Basis Functions implemented in MATLAB® were chosen for interpolation. Results demonstrate the applicability of the metamodel to obtain fast and accurate results of wave run-up for a large range of intrinsic reef morphologic and extrinsic hydrodynamic forcing parameters, offering a useful tool for risk management and early warning systems.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2019.03.004","usgsCitation":"Rueda, A.C., Cagigal, L., Pearson, S., Antolínez, J., Storlazzi, C.D., van Dongeren, A., Camus, P., and Mendez, F.J., 2019, HyCReWW: A hybrid coral reef wave and water level metamodel: Computers & Geosciences, v. 127, p. 85-90, https://doi.org/10.1016/j.cageo.2019.03.004.","productDescription":"6 p.","startPage":"85","endPage":"90","ipdsId":"IP-094659","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467766,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2019.03.004","text":"Publisher Index Page"},{"id":437524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SX6CFQ","text":"USGS data release","linkHelpText":"HyCReWW database: A hybrid coral reef wave and water level metamodel"},{"id":362512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":760208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura","contributorId":214560,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":760210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Antolínez, Jose","contributorId":214561,"corporation":false,"usgs":false,"family":"Antolínez","given":"Jose","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":760211,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":760207,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":760212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":760213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":760214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203281,"text":"70203281 - 2019 - Slow-growing and extended-duration seismicity swarms: Reactivating joints or foliations in the Cahuilla Valley Pluton, Central Peninsular Ranges, Southern California","interactions":[],"lastModifiedDate":"2019-05-02T08:18:01","indexId":"70203281","displayToPublicDate":"2019-03-28T07:02:42","publicationYear":"2019","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":"Slow-growing and extended-duration seismicity swarms: Reactivating joints or foliations in the Cahuilla Valley Pluton, Central Peninsular Ranges, Southern California","docAbstract":"<div class=\"article-section__content en main\"><p>Three prolific earthquake swarms and numerous smaller ones have occurred since 1980 in the Mesozoic igneous plutonic rocks of the Perris block of the Peninsular Ranges, Southern California. The major swarms occurred in 1980–1981, 1983–1984, and 2016–2018, with the latest swarm still ongoing. These swarms have no clear mainshock, with the largest events of<span>&nbsp;</span><i>M</i><sub><i>L</i></sub><span>&nbsp;</span>3.6,<span>&nbsp;</span><i>M</i><sub><i>L</i></sub><span>&nbsp;</span>3.7, and<span>&nbsp;</span><i>M</i><sub><i>w</i></sub><span>&nbsp;</span>4.4. Each successive swarm had larger cumulative seismic moment release with about 314 and 411 events of<span>&nbsp;</span><i>M</i>&nbsp;≥&nbsp;1.5, while the third swarm has produced about 451 events of<span>&nbsp;</span><i>M</i>&nbsp;≥&nbsp;1.5 (as of September 2018). The concurrent strike‐slip faulting occurred on north to northwest striking planes but with no orthogonal northeast trending seismicity alignments. These shallow swarms are probably driven by intrablock Pacific‐North America plate boundary stress loading of the two bounding major late Quaternary strike‐slip faults, the Elsinore and San Jacinto faults. The state of stress within the Cahuilla Valley pluton has a ~40° angle between the maximum principal stress and the average trend of the swarms, suggesting that migrating pore fluid pressures aid in the formation and growth of zones of weakness. These swarms, which last more than 600&nbsp;days each, exhibit clear bilateral spatial migration for distances of up to ~7–8&nbsp;km and reach their full length in about 20&nbsp;months. The slow spatial‐temporal development of the swarms corresponds to a fluid diffusivity of 0.006 to 0.01&nbsp;m<sup>2</sup>/s, consistent with very low permeability rocks as expected for this block. There is no geodetic or other evidence for a slow slip event driving the swarms.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB017494","usgsCitation":"Hauksson, E., Ross, Z., and Cochran, E.S., 2019, Slow-growing and extended-duration seismicity swarms: Reactivating joints or foliations in the Cahuilla Valley Pluton, Central Peninsular Ranges, Southern California: Journal of Geophysical Research B: Solid Earth, v. 124, https://doi.org/10.1029/2019JB017494.","ipdsId":"IP-106310","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":467769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb017494","text":"Publisher Index Page"},{"id":363466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cahuilla Valley Pluton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.2406005859375,\n              33.04090311724091\n            ],\n            [\n              -116.1639404296875,\n              33.09614359735857\n            ],\n            [\n              -116.1639404296875,\n              34.37517887533528\n            ],\n            [\n              -117.2900390625,\n              34.39331222316112\n            ],\n            [\n              -117.2406005859375,\n              33.04090311724091\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hauksson, E.","contributorId":196003,"corporation":false,"usgs":false,"family":"Hauksson","given":"E.","affiliations":[],"preferred":false,"id":762023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Z.","contributorId":215300,"corporation":false,"usgs":false,"family":"Ross","given":"Z.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":762024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762022,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203931,"text":"70203931 - 2019 - Globally important islands where eradicating invasive mammals will benefit highly threatened vertebrates","interactions":[],"lastModifiedDate":"2019-06-24T15:00:30","indexId":"70203931","displayToPublicDate":"2019-03-27T14:54:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Globally important islands where eradicating invasive mammals will benefit highly threatened vertebrates","docAbstract":"Invasive alien species are a major threat to native insular species. Eradicating invasive mammals from islands is a feasible and proven approach to prevent biodiversity loss. We developed a conceptual framework to identify globally important islands for invasive mammal eradications to prevent imminent extinctions among highly threatened species using biogeographic and technical factors, plus a novel approach to consider socio-political feasibility. We applied this framework using a comprehensive dataset describing the distribution of 1,184 highly threatened, native, vertebrate species (i.e. those listed as Critically Endangered or Endangered on the IUCN Red List) and 184 non-native mammals on 1,279 islands worldwide. Based on extinction risk, irreplaceability, severity of impact from invasive species, and technical feasibility of eradication, we identified and ranked 292 of the most important islands where eradicating invasive mammals would benefit highly threatened vertebrates. When socio-political feasibility was considered, we identified 169 of these islands where eradication planning or operation could be initiated by 2020 or 2030. Of these, 107 islands were in 34 countries and territories and could have eradication projects initiated by 2020. Concentrating efforts to eradicate invasive mammals on these 107 islands would benefit 151 populations of 80 highly threatened vertebrates and make a major contribution towards achieving global conservation targets adopted by the world’s nations.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0212128","collaboration":"Polynesia/Micronesia CEPF; International Iguana Foundation; San Diego Zoo Global; Taronga Conservation Society Australia; BirdLife International; SPREP; IUCN; USFWS","usgsCitation":"Holmes, N.D., Spatz, D.R., Oppel, S., Tershy, B., Croll, D., Keitt, B., Genovesi, P., Burfield, I., Will, D.J., Bond, A.L., Wegmann, A., Aguirre-Munoz, A., Raine, A.F., Knapp, C.R., Hung, C., Wingate, D., Hagen, E., Mendez-Sanchez, F., Rocamora, G., Yuan, H., Fric, J., Millett, J., Russell, J.M., Liske-Clark, J., Vidal, E., Jourdan, H., Campbell, K., Springer, K., Swinnerton, K., Gibbons-Decherong, L., Langrand, O., de L. 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,{"id":70203951,"text":"70203951 - 2019 - A strong colonizer rules the trematode guild in an intertidal snail host","interactions":[],"lastModifiedDate":"2019-06-24T17:12:37","indexId":"70203951","displayToPublicDate":"2019-03-25T17:06:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A strong colonizer rules the trematode guild in an intertidal snail host","docAbstract":"<p><span>We examined the extent to which supply‐side, niche, and competition theories and concepts help explain a trematode community in which one species comprises 87% of the trematode individuals, and the remaining 15 species each have &lt;3%. We collected and dissected the common and wide‐ranging snail host&nbsp;</span><i>Heleobia australis</i><span>&nbsp;over four seasons from three distinct habitats from the intertidal area of the Bahía Blanca estuary, Argentina. Inside a snail, trematodes interact with each other with outcomes that depend on facilitation, competition, and preemption, suggesting that dominant species should be common. The abundant trematode species,&nbsp;</span><i>Microphallus simillimus</i><span>, is a weak competitor</span><i>,</i><span>but has life‐history traits and strategies associated with higher colonization ability that could increase its probability of invading the host first, allowing it to preempt the rare species. Rather than segregate by habitat, trematode species aggregated in pans during the summer where dominant trematode species often excluded subordinate ones. Despite losses to competition, and a lack of niche partitioning,&nbsp;</span><i>M.&nbsp;simillimus</i><span>&nbsp;ruled this species‐rich trematode guild through strong recruitment and (potentially) preemption. Therefore, extremely skewed species abundance distributions, like this one, can derive from extremely skewed colonization abilities.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2696","usgsCitation":"Alda, P., Bonel, N., Cazzaniga, N.J., Martorelli, S.R., and Lafferty, K.D., 2019, A strong colonizer rules the trematode guild in an intertidal snail host: Ecology, v. 100, no. 6, e02696; 13 p., https://doi.org/10.1002/ecy.2696.","productDescription":"e02696; 13 p.","ipdsId":"IP-077841","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488817,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04891376","text":"External Repository"},{"id":364979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Argentina","otherGeospatial":"Bahia Blanca Estuary","volume":"100","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Alda, Pilar","contributorId":216511,"corporation":false,"usgs":false,"family":"Alda","given":"Pilar","email":"","affiliations":[{"id":39463,"text":"Centro de Estudios Parasitológicos y de Vectores, Argentina","active":true,"usgs":false}],"preferred":false,"id":764926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonel, Nicolas","contributorId":216512,"corporation":false,"usgs":false,"family":"Bonel","given":"Nicolas","email":"","affiliations":[{"id":39464,"text":"Universidad Nacional del Sur","active":true,"usgs":false}],"preferred":false,"id":764927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cazzaniga, Nestor J.","contributorId":216513,"corporation":false,"usgs":false,"family":"Cazzaniga","given":"Nestor","email":"","middleInitial":"J.","affiliations":[{"id":39464,"text":"Universidad Nacional del Sur","active":true,"usgs":false}],"preferred":false,"id":764928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martorelli, Sergio R.","contributorId":216514,"corporation":false,"usgs":false,"family":"Martorelli","given":"Sergio","email":"","middleInitial":"R.","affiliations":[{"id":39465,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)","active":true,"usgs":false}],"preferred":false,"id":764929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764925,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228865,"text":"70228865 - 2019 - Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control","interactions":[],"lastModifiedDate":"2022-02-23T16:25:30.616899","indexId":"70228865","displayToPublicDate":"2019-03-23T10:20:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2489,"text":"Journal of Vector Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control","docAbstract":"<p><span>Plague is a flea-borne disease of mammalian hosts. On the grasslands of western North America, plague stifles populations of&nbsp;</span><i>Cynomys</i><span>&nbsp;spp. prairie dogs (PDs). To manage plague, PD burrows are treated with 0.05% deltamethrin dust that can suppress flea numbers and plague transmission. Here, we evaluate the degree and duration of deltamethrin flea control with three PD species at six sites across four U.S. states. Data were simultaneously collected at paired plots. Burrows from one randomly assigned member of each pair were treated with deltamethrin; non-treated plots served as experimental baselines. Flea control was strong ≤two months after treatment, remained moderate one year later, and was statistically detectable for up to two years at some sites. Flea abundance was lower in plots with higher rates of deltamethrin application. After burrow treatments, flea abundance increased over time, reaching &gt;one per PD within 255 to 352 days. Nevertheless, annual treatments of burrows with deltamethrin provided PDs with substantial protection against plague. Even so, deltamethrin should be further evaluated and combined with other tools under an integrated approach to plague management. Integrated plague management should help to conserve PDs and species that associate with them, including the endangered black-footed ferret (</span><i>Mustela nigripes</i><span>).</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jvec.12327","usgsCitation":"Eads, D.A., and Biggins, D.E., 2019, Plague management of prairie dog colonies: Degree and duration of deltamethrin flea control: Journal of Vector Ecology, v. 44, no. 1, p. 40-47, https://doi.org/10.1111/jvec.12327.","productDescription":"8 p.","startPage":"40","endPage":"47","ipdsId":"IP-103576","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467783,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jvec.12327","text":"Publisher Index Page"},{"id":437529,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AWK322","text":"USGS data release","linkHelpText":"Data on the Degree and Duration of Deltamethrin Flea Control on Prairie Dog Colonies in Montana, South Dakota, and Utah, USA"},{"id":396352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, South Dakota, 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 \"}}]}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David Austin 0000-0002-4247-017X","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":279909,"corporation":false,"usgs":false,"family":"Eads","given":"David","email":"","middleInitial":"Austin","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835726,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202752,"text":"70202752 - 2019 - Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","interactions":[],"lastModifiedDate":"2019-03-25T08:24:25","indexId":"70202752","displayToPublicDate":"2019-03-22T15:47:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2490,"text":"Journal of Vegetation Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Regeneration of <i>Metrosideros polymorpha</i> forests in Hawaii after landscape‐level canopy dieback","title":"Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback","docAbstract":"<div id=\"jvs12704-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Questions</strong></p><p>(a) Have<span>&nbsp;</span><i>Metrosideros polymorpha</i><span>&nbsp;</span>trees become re‐established in Hawaiian forests previously impacted by canopy dieback in the 1970s? (b) Has canopy dieback expanded since the 1970s? (c) Can spatial patterns from this dieback be correlated with habitat factors to model future dieback in this area?</p></div><div id=\"jvs12704-sec-0002\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Study Site</strong></p><p>An 83,603&nbsp;ha study area on the eastern slopes of Mauna Loa and Mauna Kea volcanoes on the island of Hawaii, USA.</p></div><div id=\"jvs12704-sec-0003\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Methods</strong></p><p>We analyzed very‐high‐resolution imagery to assess status of<span>&nbsp;</span><i>Metrosideros polymorpha</i>forests across the eastern side of the island of Hawaii. We generated 1,170 virtual vegetation plots with a 100‐m radius; 541 plots in areas mapped in 1977 with trees dead or mostly defoliated (dieback), and 629 plots in adjacent wet forest habitat, previously mapped as non‐dieback condition. In each plot we estimated the frequency of<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>trees that were dead or mostly defoliated, and the frequency of trees with healthy crowns. These results were combined with habitat data to produce a spatial model depicting probability of canopy dieback within the study area.</p></div><div id=\"jvs12704-sec-0004\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Results</strong></p><p>Seventy‐nine percent of plots mapped in 1977 in dieback condition recovered their canopy and were now considered in non‐dieback condition. Ninety‐one percent of plots in previous non‐dieback areas were found to still have a healthy<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>canopy in 2015. A spatial model allowed us to identify areas within the study area with high, medium, and low probability of experiencing this same type of canopy dieback in the future.</p></div><div id=\"jvs12704-sec-0005\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Conclusions</strong></p><p>Most former dieback areas mapped within the study area in 1977 now show recovery of the tree canopy through growth of new cohorts of young<span>&nbsp;</span><i>M. polymorpha</i><span>&nbsp;</span>trees. This suggests these forest communities are resilient to this type of canopy loss and tree death so long as other factors do not disrupt the natural regeneration process.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/jvs.12704","usgsCitation":"Mertelmeyer, L., Jacobi, J.D., Mueller-Dombois, D., Brinck, K.W., and Boehmer, H.J., 2019, Regeneration of Metrosideros polymorpha forests in Hawaii after landscape‐level canopy dieback: Journal of Vegetation Science, v. 30, no. 1, p. 146-155, https://doi.org/10.1111/jvs.12704.","productDescription":"10 p.","startPage":"146","endPage":"155","ipdsId":"IP-099401","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":437530,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97OSO15","text":"USGS data release","linkHelpText":"Hawaii Island Regeneration of Metrosideros polymorpha forests since landscape-level canopy dieback in the 1970s"},{"id":362292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.38238525390625,\n              19.452348936859018\n            ],\n            [\n              -155.08987426757812,\n              19.452348936859018\n            ],\n            [\n              -155.08987426757812,\n              20.06754094648767\n            ],\n            [\n              -155.38238525390625,\n              20.06754094648767\n            ],\n            [\n              -155.38238525390625,\n              19.452348936859018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mertelmeyer, Linda","contributorId":214407,"corporation":false,"usgs":false,"family":"Mertelmeyer","given":"Linda","email":"","affiliations":[{"id":39035,"text":"Technical University of Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":759816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":759815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller-Dombois, Dieter","contributorId":214408,"corporation":false,"usgs":false,"family":"Mueller-Dombois","given":"Dieter","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":759817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":759818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehmer, Hans Juergen","contributorId":207895,"corporation":false,"usgs":false,"family":"Boehmer","given":"Hans","email":"","middleInitial":"Juergen","affiliations":[{"id":37652,"text":"School of Geography, University of the South Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":759819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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