{"pageNumber":"398","pageRowStart":"9925","pageSize":"25","recordCount":40807,"records":[{"id":70195950,"text":"70195950 - 2018 - The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","interactions":[],"lastModifiedDate":"2018-03-09T09:52:05","indexId":"70195950","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The size, distribution, and mobility of landslides caused by the 2015 M<sub>w</sub>7.8 Gorkha earthquake, Nepal","title":"The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal","docAbstract":"<p><span>Coseismic landslides pose immediate and prolonged hazards to mountainous communities, and provide a rare opportunity to study the effect of large earthquakes on erosion and sediment budgets. By mapping landslides using high-resolution satellite imagery, we find that the 25 April 2015 M</span><sub>w</sub><span>7.8 Gorkha earthquake and aftershock sequence produced at least 25,000 landslides throughout the steep Himalayan Mountains in central Nepal. Despite early reports claiming lower than expected landslide activity, our results show that the total number, area, and volume of landslides associated with the Gorkha event are consistent with expectations, when compared to prior landslide-triggering earthquakes around the world. The extent of landsliding mimics the extent of fault rupture along the east-west trace of the Main Himalayan Thrust and increases eastward following the progression of rupture. In this event, maximum modeled Peak Ground Acceleration (PGA) and the steepest topographic slopes of the High Himalaya are not spatially coincident, so it is not surprising that landslide density correlates neither with PGA nor steepest slopes on their own. Instead, we find that the highest landslide density is located at the confluence of steep slopes, high mean annual precipitation, and proximity to the deepest part of the fault rupture from which 0.5–2</span><span>&nbsp;</span><span>Hz seismic energy originated. We suggest that landslide density was determined by a combination of earthquake source characteristics, slope distributions, and the influence of precipitation on rock strength via weathering and changes in vegetation cover. Determining the relative contribution of each factor will require further modeling and better constrained seismic parameters, both of which are likely to be developed in the coming few years as post-event studies evolve. Landslide mobility, in terms of the ratio of runout distance to fall height, is comparable to small volume landslides in other settings, and landslide volume-runout scaling is consistent with compilations of data on larger slope failures. In general, the size ratios of landslide source area to full landslide area are smaller than global averages, and hillslope length seems to largely control runout distance, which we propose reflects a topographic control on landslide mobility in this setting. We find that landslide size dictates runout distance and that more than half of the landslide debris was deposited in direct connection with stream channels. Connectivity, which is defined as the spatial proximity of landslides to fluvial channels, is greatest for larger landslides in the high-relief part of the High Himalaya. Although these failures are less abundant than those at lower elevations, they may have a disproportionate impact on sediment dynamics and cascading hazards, such as landslide reactivation by monsoon rainfall and landslide dams that lead to outburst floods. The overall high fluvial connectivity of coseismic landsliding in the Gorkha event suggests coupling between the earthquake cycle and sediment/geochemical budgets of fluvial systems in the Himalaya.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.01.030","usgsCitation":"Roback, K., Clark, M., West, A.J., Zekkos, D., , L., Gallen, S.F., Chamlagain, D., and Godt, J.W., 2018, The size, distribution, and mobility of landslides caused by the 2015 Mw7.8 Gorkha earthquake, Nepal: Geomorphology, v. 301, p. 121-138, https://doi.org/10.1016/j.geomorph.2017.01.030.","productDescription":"18 p.","startPage":"121","endPage":"138","ipdsId":"IP-079061","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":469121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.01.030","text":"Publisher Index Page"},{"id":352354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              84.04541015625,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              26.43122806450644\n            ],\n            [\n              87.14355468749999,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              29.132970130878636\n            ],\n            [\n              84.04541015625,\n              26.43122806450644\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"301","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc259","contributors":{"authors":[{"text":"Roback, Kevin","contributorId":200288,"corporation":false,"usgs":false,"family":"Roback","given":"Kevin","email":"","affiliations":[],"preferred":false,"id":730662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Marin K.","contributorId":139684,"corporation":false,"usgs":false,"family":"Clark","given":"Marin K.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":730664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zekkos, Dimitrios","contributorId":200290,"corporation":false,"usgs":false,"family":"Zekkos","given":"Dimitrios","email":"","affiliations":[],"preferred":false,"id":730665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":730666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gallen, Sean F.","contributorId":139683,"corporation":false,"usgs":false,"family":"Gallen","given":"Sean","email":"","middleInitial":"F.","affiliations":[{"id":12879,"text":"Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor","active":true,"usgs":false}],"preferred":false,"id":730667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chamlagain, Deepak","contributorId":200291,"corporation":false,"usgs":false,"family":"Chamlagain","given":"Deepak","email":"","affiliations":[],"preferred":false,"id":730668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":730661,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70195150,"text":"70195150 - 2018 - Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling","interactions":[],"lastModifiedDate":"2018-02-08T14:46:15","indexId":"70195150","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling","docAbstract":"<p><span>Including stakeholders in environmental model building and analysis is an increasingly popular approach to understanding ecological change. This is because stakeholders often hold valuable knowledge about socio-environmental dynamics and collaborative forms of modeling produce important boundary objects used to collectively reason about environmental problems. Although the number of participatory modeling (PM) case studies and the number of researchers adopting these approaches has grown in recent years, the lack of standardized reporting and limited reproducibility have prevented PM's establishment and advancement as a cohesive field of study. We suggest a four-dimensional framework (4P) that includes reporting on dimensions of (1) the Purpose for selecting a PM approach (the&nbsp;</span><i>why</i><span>); (2) the Process by which the public was involved in model building or evaluation (the<span>&nbsp;</span></span><i>how</i><span>); (3) the Partnerships formed (the<span>&nbsp;</span></span><i>who</i><span>); and (4) the Products that resulted from these efforts (the<span>&nbsp;</span></span><i>what</i><span>). We highlight four case studies that use common PM software-based approaches (fuzzy cognitive mapping, agent-based modeling, system dynamics, and participatory geospatial modeling) to understand human–environment interactions and the consequences of ecological changes, including bushmeat hunting in Tanzania and Cameroon, agricultural production and deforestation in Zambia, and groundwater management in India. We demonstrate how standardizing communication about PM case studies can lead to innovation and new insights about model-based reasoning in support of ecological policy development. We suggest that our 4P framework and reporting approach provides a way for new hypotheses to be identified and tested in the growing field of PM.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.1627","usgsCitation":"Gray, S., Voinov, A., Paolisso, M., Jordan, R., BenDor, T., Bommel, P., Glynn, P.D., Hedelin, B., Hubacek, K., Introne, J., Kolagani, N., Laursen, B., Prell, C., Schmitt-Olabisi, L., Singer, A., Sterling, E.J., and Zellner, M., 2018, Purpose, processes, partnerships, and products: four Ps to advance participatory socio-environmental modeling: Ecological Applications, v. 28, no. 1, p. 46-61, https://doi.org/10.1002/eap.1627.","productDescription":"16 p.","startPage":"46","endPage":"61","ipdsId":"IP-077094","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469127,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.1627","text":"External Repository"},{"id":351378,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-08","publicationStatus":"PW","scienceBaseUri":"5a7d6ffde4b00f54eb2441a7","contributors":{"authors":[{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":727186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":727187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paolisso, Michael","contributorId":201913,"corporation":false,"usgs":false,"family":"Paolisso","given":"Michael","email":"","affiliations":[{"id":36291,"text":"University of Maryland, Department of Anthropology, College Park, Maryland 20742 USA","active":true,"usgs":false}],"preferred":false,"id":727188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":727189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"BenDor, Todd","contributorId":201915,"corporation":false,"usgs":false,"family":"BenDor","given":"Todd","email":"","affiliations":[{"id":36293,"text":"University of North Carolina at Chapel Hill, Department of City and Regional Planning, New East Building, CB #3140, Chapel Hill, NC 27599","active":true,"usgs":false}],"preferred":false,"id":727190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bommel, Pierre","contributorId":201916,"corporation":false,"usgs":false,"family":"Bommel","given":"Pierre","email":"","affiliations":[{"id":36294,"text":"CIRAD, Green Research Unit, Montpellier, France & University of Costa Rica, San José, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":727191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - 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,{"id":70195645,"text":"70195645 - 2018 - Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system","interactions":[],"lastModifiedDate":"2018-02-26T11:02:33","indexId":"70195645","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system","docAbstract":"<p><span>Egg deposition and use of restored spawning substrates by lithophilic fishes (e.g., Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span>, Lake Whitefish<span>&nbsp;</span></span><i>Coregonus clupeaformis</i><span>, and Walleye<span>&nbsp;</span></span><i>Sander vitreus</i><span>) were assessed throughout the St. Clair–Detroit River system from 2005 to 2016. Bayesian models were used to quantify egg abundance and presence/absence relative to site-specific variables (e.g., depth, velocity, and artificial spawning reef presence) and temperature to evaluate fish use of restored artificial spawning reefs and assess patterns in egg deposition. Lake Whitefish and Walleye egg abundance, probability of detection, and probability of occupancy were assessed with detection-adjusted methods; Lake Sturgeon egg abundance and probability of occurrence were assessed using delta-lognormal methods. The models indicated that the probability of Walleye eggs occupying a site increased with water velocity and that the rate of increase decreased with depth, whereas Lake Whitefish egg occupancy was not correlated with any of the attributes considered. Egg deposition by Lake Whitefish and Walleyes was greater at sites with high water velocities and was lower over artificial spawning reefs. Lake Sturgeon eggs were collected least frequently but were more likely to be collected over artificial spawning reefs and in greater abundances than elsewhere. Detection-adjusted egg abundances were not greater over artificial spawning reefs, indicating that these projects may not directly benefit spawning Walleyes and Lake Whitefish. However, 98% of the Lake Sturgeon eggs observed were collected over artificial spawning reefs, supporting the hypothesis that the reefs provided spawning sites for Lake Sturgeon and could mitigate historic losses of Lake Sturgeon spawning habitat.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10016","usgsCitation":"Fischer, J.L., Pritt, J.J., Roseman, E.F., Prichard, C.G., Craig, J.M., Kennedy, G.W., and Manny, B.A., 2018, Lake Sturgeon, Lake Whitefish, and Walleye egg deposition patterns with response to fish spawning substrate restoration in the St. Clair–Detroit River system: Transactions of the American Fisheries Society, v. 147, no. 1, p. 79-93, https://doi.org/10.1002/tafs.10016.","productDescription":"15 p.","startPage":"79","endPage":"93","ipdsId":"IP-069920","costCenters":[{"id":324,"text":"Great Lakes Science 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jcraig@usgs.gov","orcid":"https://orcid.org/0000-0002-7601-8616","contributorId":190252,"corporation":false,"usgs":true,"family":"Craig","given":"Jaquelyn","email":"jcraig@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Gregory W. 0000-0003-1686-6960 gkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-6960","contributorId":3700,"corporation":false,"usgs":true,"family":"Kennedy","given":"Gregory","email":"gkennedy@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":729545,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196688,"text":"70196688 - 2018 - The electric storm of November 1882","interactions":[],"lastModifiedDate":"2018-04-24T16:54:46","indexId":"70196688","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The electric storm of November 1882","docAbstract":"<p><span>In November 1882, an intense magnetic storm related to a large sunspot group caused widespread interference to telegraph and telephone systems and provided spectacular and unusual auroral displays. The (ring current) storm time disturbance index for this storm reached maximum −</span><i>Dst</i><span>&nbsp;≈&nbsp;386&nbsp;nT, comparable to Halloween storm of 29–31 October 2003, but from 17 to 20 November the<span>&nbsp;</span></span><i>aa</i><span><span>&nbsp;</span>midlatitude geomagnetic disturbance index averaged 214.25&nbsp;nT, the highest 4&nbsp;day level of disturbance since the beginning of<span>&nbsp;</span></span><i>aa</i><span><span>&nbsp;</span>index in 1868. This storm contributed to scientists' understanding of the reality of solar‐terrestrial interaction. Past occurrences of magnetic storms, like that of November 1882, can inform modern evaluations of the deleterious effects that a magnetic superstorm might have on technological systems of importance to society.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017SW001795","usgsCitation":"Love, J.J., 2018, The electric storm of November 1882: Space Weather, v. 16, no. 1, p. 37-46, https://doi.org/10.1002/2017SW001795.","productDescription":"10 p.","startPage":"37","endPage":"46","ipdsId":"IP-093138","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":353686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-12","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc23f","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":733973,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196984,"text":"70196984 - 2018 - What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?","interactions":[],"lastModifiedDate":"2018-05-15T16:36:21","indexId":"70196984","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?","docAbstract":"<p><span>Contemporary climate change affects nearly all biomes, causing shifts in animal distributions and resource availability. Changes in resource selection may allow individuals to offset climatic stress, thereby providing a mechanism for persistence amidst warming conditions. Whereas the role of predation risk in food choice has been studied broadly, the extent to which individuals respond to thermoregulatory risk by changing resource preferences is unclear. We addressed whether individuals compensated for temperature-related reductions in foraging time by altering forage preferences, using the American pika (</span><i class=\"EmphasisTypeItalic \">Ochotona princeps</i><span>) as a model species. We tested two hypotheses: (1) food-quality hypothesis—individuals exposed to temperature extremes should select higher-quality vegetation in return for accepting a physiologically riskier feeding situation; and (2) food-availability hypothesis—individuals exposed to temperature extremes should prioritize foraging quickly, thereby decreasing selection for higher-quality food. We quantified the composition and quality (% moisture, % nitrogen, and fiber content) of available and harvested vegetation, and deployed a network of temperature sensors to measure in situ conditions for 30 individuals, during July–Sept., 2015. Individuals exposed to more extreme daytime temperatures showed increased selection for high-nitrogen and for low-fiber vegetation, demonstrating strong support for the food-quality hypothesis. By contrast, pikas that experienced warmer conditions did not reduce selection for any of the three vegetation-quality metrics, as predicted by the food-availability hypothesis. By shifting resource-selection patterns, temperature-limited animals may be able to proximately buffer some of the negative effects associated with rapidly warming environments, provided that sufficient resources remain on the landscape.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-017-3993-2","usgsCitation":"Hall, L., and Chalfoun, A.D., 2018, What to eat in a warming world: do increased temperatures necessitate hazardous duty pay?: Oecologia, v. 186, no. 1, p. 73-84, https://doi.org/10.1007/s00442-017-3993-2.","productDescription":"12 p.","startPage":"73","endPage":"84","ipdsId":"IP-091142","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-11","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc236","contributors":{"authors":[{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":735453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":735182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196292,"text":"70196292 - 2018 - Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data","interactions":[],"lastModifiedDate":"2019-02-18T11:26:17","indexId":"70196292","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data","docAbstract":"<p id=\"sp0105\">This paper explores for the first time the possibilities to use two land surface temperature (LST) time series of different origins (geostationary Meteosat Second Generation satellite data and Noah land surface modelling, LSM), to detect geothermal anomalies and extract the geothermal component of LST, the LST<sub>gt</sub>. We hypothesize that in geothermal areas the LSM time series will underestimate the LST as compared to the remote sensing data, since the former does not account for the geothermal component in its model.</p><p id=\"sp0110\">In order to extract LST<sub>gt</sub>, two approaches of different nature (physical based and data mining) were developed and tested in an area of about 560&nbsp;×&nbsp;560&nbsp;km<sup>2</sup><span>&nbsp;</span>centered at the Kenyan Rift. Pre-dawn data in the study area during the first 45&nbsp;days of 2012 were analyzed.</p><p id=\"sp0115\">The results show consistent spatial and temporal LST<sub>gt</sub><span>&nbsp;</span>patterns between the two approaches, and systematic differences of about 2&nbsp;K. A geothermal area map from surface studies was used to assess LST<sub>gt</sub><span>&nbsp;</span>inside and outside the geothermal boundaries. Spatial means were found to be higher inside the geothermal limits, as well as the relative frequency of occurrence of high LST<sub>gt</sub>. Results further show that areas with strong topography can result in anomalously high LST<sub>gt</sub><span>&nbsp;</span>values (false positives), which suggests the need for a slope and aspect correction in the inputs to achieve realistic results in those areas. The uncertainty analysis indicates that large uncertainties of the input parameters may limit detection of LST<sub>gt</sub><span>&nbsp;</span>anomalies. To validate the approaches, higher spatial resolution images from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data over the Olkaria geothermal field were used. An established method to estimate radiant geothermal flux was applied providing values between 9 and 24&nbsp;W/m<sup>2</sup><span>&nbsp;</span>in the geothermal area, which coincides with the LST<sub>gt</sub><span>&nbsp;</span>flux rates obtained with the proposed approaches.</p><p id=\"sp0120\">The proposed approaches are a first step in estimating LST<sub>gt</sub><span>&nbsp;</span>at large spatial coverage from remote sensing and LSM data series, and provide an innovative framework for future improvements.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2017.10.003","usgsCitation":"Romaguera, M., Vaughan, R.G., Ettema, J., Izquierdo-Verdiguier, E., Hecker, C.A., and der Meer, V., 2018, Detecting geothermal anomalies and evaluating LST geothermal component by combining thermal remote sensing time series and land surface model data: Remote Sensing of Environment, v. 204, p. 534-552, https://doi.org/10.1016/j.rse.2017.10.003.","productDescription":"19 p.","startPage":"534","endPage":"552","ipdsId":"IP-080512","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469119,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2017.10.003","text":"Publisher Index Page"},{"id":353021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee753e4b0da30c1bfc24d","contributors":{"authors":[{"text":"Romaguera, Mireia","contributorId":203729,"corporation":false,"usgs":false,"family":"Romaguera","given":"Mireia","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, R. Greg 0000-0002-0850-6669 gvaughan@usgs.gov","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":175488,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"gvaughan@usgs.gov","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":732183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ettema, J.","contributorId":203730,"corporation":false,"usgs":false,"family":"Ettema","given":"J.","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Izquierdo-Verdiguier, E.","contributorId":203731,"corporation":false,"usgs":false,"family":"Izquierdo-Verdiguier","given":"E.","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hecker, C. A.","contributorId":203732,"corporation":false,"usgs":false,"family":"Hecker","given":"C.","email":"","middleInitial":"A.","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"der Meer, van","contributorId":203733,"corporation":false,"usgs":false,"family":"der Meer","given":"van","email":"","affiliations":[{"id":36702,"text":"University of Twente, Enschede, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":732188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194660,"text":"70194660 - 2018 - Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","interactions":[],"lastModifiedDate":"2018-03-29T16:02:02","indexId":"70194660","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?","docAbstract":"<p><span>A 1200 km-long transform plate boundary passes through southeastern Alaska and northwestern British Columbia and represents one of the most seismically active, but poorly understood continental margins of North America. Although most of the plate motion is&nbsp;accommodated by the right-lateral Queen Charlotte–Fairweather Fault (QCFF) System, which has produced at least six M</span><span>&nbsp;</span><span>&gt;</span><span>&nbsp;</span><span><span><span>7 earthquakes since 1920,&nbsp;seismic hazard ass<span><span>essments also include the Chatham&nbsp;Strait Fault (CSF) as a potentially active, 400 km-long strike slip fault </span>that cuts northward through southeastern Alaska, connecting with the Eastern Denali Fault. Nearly the entire length of the CSF is submerged beneath Chatham Strait and Lynn Canal and has never been systematically imaged using high-resolution marine geophysical approaches. In this study we present an integrated analysis of new marine&nbsp;seismic reflectiondata ac</span></span><span>quired across Lynn Canal and tectonic block modeling constrained by data from continuous and campaign GPS sites. Seismic profiles cross the CSF at twelve locations spanning ∼50 km of fault length; they reveal thick (up to 300 m) packages of glaciomarine sedimentary facies emplaced on an unconformity su</span></span><span><span>rface that formed during the<span> Last Glacial Maximum</span></span><span><span><span>&nbsp;</span>(LGM). Localized warping of post-LGM stratigraphy (∼13.9 kyr B.P. to present) appears to correlate with sediment drape on basement topography and current-controlled deposition. There is no evidence for an&nbsp;active fault along the axis of Lynn Canal in the seismic reflection data. Crustal block models constrained by GPS data allow, but do not require, a maximum&nbsp;slip rate o</span>f 2–3 mm/yr along the CSF; higher slip rates on the CSF result in significant misfit to GPS data in the surrounding region. Based on the combined marine geophysical and GPS observations, it is plausible that the CSF has not generated resolvable coseismic deformation in the last ∼13 ka and that the modern slip-rate is &lt;1 mm/yr. We propose that models for strain transfer between the QCFF and the Denali Fault, and seismic hazard maps in general, may need to be reevaluated.</span></span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2017.10.017","usgsCitation":"Brothers, D.S., Elliott, J.L., Conrad, J.E., Haeussler, P.J., and Kluesner, J.W., 2018, Strain partitioning in southeastern Alaska: Is the Chatham Strait Fault active?: Earth and Planetary Science Letters, v. 481, p. 362-371, https://doi.org/10.1016/j.epsl.2017.10.017.","productDescription":"10 p.","startPage":"362","endPage":"371","ipdsId":"IP-081661","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.10.017","text":"Publisher Index Page"},{"id":352971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"481","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc267","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","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":724809,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Julie L.","contributorId":201260,"corporation":false,"usgs":false,"family":"Elliott","given":"Julie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724810,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conrad, James E. 0000-0001-6655-694X jconrad@usgs.gov","orcid":"https://orcid.org/0000-0001-6655-694X","contributorId":2316,"corporation":false,"usgs":true,"family":"Conrad","given":"James","email":"jconrad@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724811,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247 pheuslr@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":503,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter","email":"pheuslr@usgs.gov","middleInitial":"J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":724813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724812,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196378,"text":"70196378 - 2018 - Advances in drainage: Selected works from the Tenth International Drainage Symposium","interactions":[],"lastModifiedDate":"2018-04-04T13:59:51","indexId":"70196378","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3619,"text":"Transactions of the ASABE","active":true,"publicationSubtype":{"id":10}},"title":"Advances in drainage: Selected works from the Tenth International Drainage Symposium","docAbstract":"<p><span>This article introduces a special collection of fourteen articles accepted from among the 140 technical presentations, posters, and meeting papers presented at the 10th International ASABE Drainage Symposium. The symposium continued in the tradition of previous symposia that began in 1965 as a forum for presenting and assessing the progress of drainage research and implementation throughout the world. The articles in this collection address a wide range of topics grouped into five broad categories: (1) crop response, (2) design and management, (3) hydrology and scale, (4) modeling, and (5) water quality. The collection provides valuable information for scientists, engineers, planners, and others working on crop production, water quality, and water quantity issues affected by agricultural drainage. The collection also provides perspectives on the challenges of increasing agricultural production in a changing climate, with ever-greater attention to water quality and quantity concerns that will require integrated technical, economic, and social solutions.</span></p>","language":"English","publisher":"American Society of Agricultural and Biological Engineering (ASABE)","doi":"10.13031/trans.12668","usgsCitation":"Strock, J.S., Hay, C., Helmers, M., Nelson, K.A., Sands, G.R., Skaggs, R.W., and Douglas-Mankin, K.R., 2018, Advances in drainage: Selected works from the Tenth International Drainage Symposium: Transactions of the ASABE, v. 61, no. 1, p. 161-168, https://doi.org/10.13031/trans.12668.","productDescription":"8 p.","startPage":"161","endPage":"168","ipdsId":"IP-094677","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":469128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.13031/trans.12668","text":"Publisher Index Page"},{"id":353154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc247","contributors":{"authors":[{"text":"Strock, Jeffrey S.","contributorId":203928,"corporation":false,"usgs":false,"family":"Strock","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":36759,"text":"Southwest Research and Outreach Center, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":732673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, Christopher","contributorId":203929,"corporation":false,"usgs":false,"family":"Hay","given":"Christopher","email":"","affiliations":[{"id":36760,"text":"Iowa Soybean Association","active":true,"usgs":false}],"preferred":false,"id":732674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Helmers, Matthew","contributorId":189905,"corporation":false,"usgs":false,"family":"Helmers","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":732675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Kelly A.","contributorId":203931,"corporation":false,"usgs":false,"family":"Nelson","given":"Kelly","email":"","middleInitial":"A.","affiliations":[{"id":36762,"text":"Greenley Research Center, University of Missouri","active":true,"usgs":false}],"preferred":false,"id":732676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sands, Gary R.","contributorId":203932,"corporation":false,"usgs":false,"family":"Sands","given":"Gary","email":"","middleInitial":"R.","affiliations":[{"id":36763,"text":"Department of Biosystems and Agricultural Engineering, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":732677,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Skaggs, R. Wayne","contributorId":203933,"corporation":false,"usgs":false,"family":"Skaggs","given":"R.","email":"","middleInitial":"Wayne","affiliations":[{"id":36764,"text":"Department of Biological and Agricultural Engineering, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":732678,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":732672,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197107,"text":"70197107 - 2018 - Will Alaska's fisheries regime prove resilient? Kenai River fishery management as a model for adaptive governance","interactions":[],"lastModifiedDate":"2018-05-18T10:09:07","indexId":"70197107","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Will Alaska's fisheries regime prove resilient? Kenai River fishery management as a model for adaptive governance","docAbstract":"<div class=\"t m0 xa h7 y15 ff9 fs5 fc2 sc0 ls0 ws4\"><span class=\"current-selection\"></span></div><p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10022","usgsCitation":"Powell, J.E., Wipfli, M.S., Criddle, K.R., and Schoen, E.R., 2018, Will Alaska's fisheries regime prove resilient? Kenai River fishery management as a model for adaptive governance: Fisheries Magazine, v. 43, no. 1, p. 26-30, https://doi.org/10.1002/fsh.10022.","productDescription":"5 p.","startPage":"26","endPage":"30","ipdsId":"IP-091718","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai River","volume":"43","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-22","publicationStatus":"PW","scienceBaseUri":"5afee752e4b0da30c1bfc234","contributors":{"authors":[{"text":"Powell, James E.","contributorId":200051,"corporation":false,"usgs":false,"family":"Powell","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":735615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Criddle, Keith R.","contributorId":204969,"corporation":false,"usgs":false,"family":"Criddle","given":"Keith","email":"","middleInitial":"R.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":735616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735617,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195385,"text":"70195385 - 2018 - Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","interactions":[],"lastModifiedDate":"2018-02-13T12:28:43","indexId":"70195385","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation","docAbstract":"<p><span>Species’ distributions will respond to climate change based on the relationship between local demographic processes and climate and how this relationship varies based on range position. A rarely tested demographic prediction is that populations at the extremes of a species’ climate envelope (e.g., populations in areas with the highest mean annual temperature) will be most sensitive to local shifts in climate (i.e., warming). We tested this prediction using a dynamic species distribution model linking demographic rates to variation in temperature and precipitation for wood frogs (</span><i>Lithobates sylvaticus</i><span>) in North America. Using long-term monitoring data from 746 populations in 27 study areas, we determined how climatic variation affected population growth rates and how these relationships varied with respect to long-term climate. Some models supported the predicted pattern, with negative effects of extreme summer temperatures in hotter areas and positive effects on recruitment for summer water availability in drier areas. We also found evidence of interacting temperature and precipitation influencing population size, such as extreme heat having less of a negative effect in wetter areas. Other results were contrary to predictions, such as positive effects of summer water availability in wetter parts of the range and positive responses to winter warming especially in milder areas. In general, we found wood frogs were more sensitive to changes in temperature or temperature interacting with precipitation than to changes in precipitation alone. Our results suggest that sensitivity to changes in climate cannot be predicted simply by knowing locations within the species’ climate envelope. Many climate processes did not affect population growth rates in the predicted direction based on range position. Processes such as species-interactions, local adaptation, and interactions with the physical landscape likely affect the responses we observed. Our work highlights the need to measure demographic responses to changing climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13817","usgsCitation":"Amburgey, S.M., Miller, D.A., Grant, E.H., Rittenhouse, T., Benard, M.F., Richardson, J.L., Urban, M.C., Hughson, W., Brand, A.B., Davis, C.J., Hardin, C.R., Paton, P.W., Raithel, C.J., Relyea, R.A., Scott, A.F., Skelly, D.K., Skidds, D., Smith, C.K., and Werner, E.E., 2018, Range position and climate sensitivity: The structure of among-population demographic responses to climatic variation: Global Change Biology, v. 24, no. 1, p. 439-454, https://doi.org/10.1111/gcb.13817.","productDescription":"16 p.","startPage":"439","endPage":"454","ipdsId":"IP-069212","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":490050,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/nrs_facpubs/683","text":"External Repository"},{"id":351524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-19","publicationStatus":"PW","scienceBaseUri":"5afee754e4b0da30c1bfc261","contributors":{"authors":[{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":728311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":728312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. Campbell 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":201360,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H. Campbell","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":728310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rittenhouse, Tracy A. G.","contributorId":169672,"corporation":false,"usgs":false,"family":"Rittenhouse","given":"Tracy A. G.","affiliations":[],"preferred":false,"id":728313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benard, Michael F.","contributorId":202395,"corporation":false,"usgs":false,"family":"Benard","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":36409,"text":"Department of Biology, Case Western Reserve University, Cleveland, OH, USA","active":true,"usgs":false}],"preferred":false,"id":728314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richardson, Jonathan L.","contributorId":200560,"corporation":false,"usgs":false,"family":"Richardson","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Urban, Mark C.","contributorId":202396,"corporation":false,"usgs":false,"family":"Urban","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36410,"text":"Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA","active":true,"usgs":false}],"preferred":false,"id":728316,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hughson, Ward","contributorId":202397,"corporation":false,"usgs":false,"family":"Hughson","given":"Ward","email":"","affiliations":[{"id":36411,"text":"Parks Canada, Jasper, AB, Canada","active":true,"usgs":false}],"preferred":false,"id":728317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":728318,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Davis, Christopher J.","contributorId":202398,"corporation":false,"usgs":false,"family":"Davis","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36412,"text":"Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA","active":true,"usgs":false}],"preferred":false,"id":728319,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hardin, Carmen R.","contributorId":202399,"corporation":false,"usgs":false,"family":"Hardin","given":"Carmen","email":"","middleInitial":"R.","affiliations":[{"id":36413,"text":"Forestry Division, Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":728320,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Paton, Peter W. C.","contributorId":146616,"corporation":false,"usgs":false,"family":"Paton","given":"Peter","email":"","middleInitial":"W. C.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":728321,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raithel, Christopher J.","contributorId":202400,"corporation":false,"usgs":false,"family":"Raithel","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":36414,"text":"Division of Fish and Wildlife, Rhode Island Department of Environmental Management, West Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728322,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Relyea, Rick A.","contributorId":202401,"corporation":false,"usgs":false,"family":"Relyea","given":"Rick","email":"","middleInitial":"A.","affiliations":[{"id":36415,"text":"Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA","active":true,"usgs":false}],"preferred":false,"id":728323,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scott, A. Floyd","contributorId":202402,"corporation":false,"usgs":false,"family":"Scott","given":"A.","email":"","middleInitial":"Floyd","affiliations":[{"id":36416,"text":"Department of Biology, Austin Peay State University, Clarksville, TN, USA","active":true,"usgs":false}],"preferred":false,"id":728324,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Skelly, David K.","contributorId":181900,"corporation":false,"usgs":false,"family":"Skelly","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":728325,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Skidds, Dennis E.","contributorId":202403,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis E.","affiliations":[{"id":36417,"text":"Northeast Coastal and Barrier Network, National Parks Service, Kingston, RI, USA","active":true,"usgs":false}],"preferred":false,"id":728326,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, Charles K.","contributorId":202404,"corporation":false,"usgs":false,"family":"Smith","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":36418,"text":"Department of Biology, High Point University, High Point, NC, USA","active":true,"usgs":false}],"preferred":false,"id":728327,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Werner, Earl E.","contributorId":202405,"corporation":false,"usgs":false,"family":"Werner","given":"Earl","email":"","middleInitial":"E.","affiliations":[{"id":36419,"text":"Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA","active":true,"usgs":false}],"preferred":false,"id":728328,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70196758,"text":"70196758 - 2018 - The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","interactions":[],"lastModifiedDate":"2022-04-22T16:23:22.833574","indexId":"70196758","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska","docAbstract":"<p><span>It is important to understand how upland ecosystems of Alaska, which are estimated to occupy 84% of the state (i.e., 1,237,774&nbsp;km</span><sup>2</sup><span>), are influencing and will influence state‐wide carbon (C) dynamics in the face of ongoing climate change. We coupled fire disturbance and biogeochemical models to assess the relative effects of changing atmospheric carbon dioxide (CO</span><sub>2</sub><span>), climate, logging and fire regimes on the historical and future C balance of upland ecosystems for the four main Landscape Conservation Cooperatives (LCCs) of Alaska. At the end of the historical period (1950–2009) of our analysis, we estimate that upland ecosystems of Alaska store ~50 Pg C (with ~90% of the C in soils), and gained 3.26 Tg C/yr. Three of the LCCs had gains in total ecosystem C storage, while the Northwest Boreal LCC lost C (−6.01&nbsp;Tg C/yr) because of increases in fire activity. Carbon exports from logging affected only the North Pacific LCC and represented less than 1% of the state's net primary production (NPP). The analysis for the future time period (2010–2099) consisted of six simulations driven by climate outputs from two climate models for three emission scenarios. Across the climate scenarios, total ecosystem C storage increased between 19.5 and 66.3 Tg C/yr, which represents 3.4% to 11.7% increase in Alaska upland's storage. We conducted additional simulations to attribute these responses to environmental changes. This analysis showed that atmospheric CO</span><sub>2</sub><span><span>&nbsp;</span>fertilization was the main driver of ecosystem C balance. By comparing future simulations with constant and with increasing atmospheric CO</span><sub>2</sub><span>, we estimated that the sensitivity of NPP was 4.8% per 100 ppmv, but NPP becomes less sensitive to CO</span><sub>2</sub><span>increase throughout the 21st century. Overall, our analyses suggest that the decreasing CO</span><sub>2</sub><span><span>&nbsp;</span>sensitivity of NPP and the increasing sensitivity of heterotrophic respiration to air temperature, in addition to the increase in C loss from wildfires weakens the C sink from upland ecosystems of Alaska and will ultimately lead to a source of CO</span><sub>2</sub><span><span>&nbsp;</span>to the atmosphere beyond 2100. Therefore, we conclude that&nbsp;the increasing regional C sink we estimate for the 21st century will most likely be transitional.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1641","usgsCitation":"Genet, H., He, Y., Lyu, Z., McGuire, A.D., Zhuang, Q., Clein, J.S., D'Amore, D., Bennett, A., Breen, A., Biles, F., Euskirchen, E., Johnson, K., Kurkowski, T., Schroder, S., Pastick, N.J., Rupp, T., Wylie, B.K., Zhang, Y., Zhou, X., and Zhu, Z., 2018, The role of driving factors in historical and projected carbon dynamics of upland ecosystems in Alaska: Ecological Applications, v. 28, no. 1, p. 5-27, https://doi.org/10.1002/eap.1641.","productDescription":"23 p.","startPage":"5","endPage":"27","ipdsId":"IP-086525","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70188402,"text":"70188402 - 2018 - Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic","interactions":[],"lastModifiedDate":"2021-01-26T19:34:25.055032","indexId":"70188402","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Demography of the Pacific walrus (<i>Odobenus rosmarus divergens</i>) in a changing Arctic","title":"Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic","docAbstract":"<p><span>The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) is a candidate to be listed as an endangered species under United States law, in part, because of climate change‐related concerns. While the population was known to be declining in the 1980s and 1990s, its recent status has not been determined. We developed Bayesian models of walrus population dynamics to assess the population by synthesizing information on population sizes, age structures, reproductive rates, and harvests for 1974–2015. Candidate models allowed for temporal variation in some or all vital rates, as well as density dependence or density independence in reproduction and calf survival. All selected models indicated that the population underwent a multidecade decline, which began moderating in the 1990s, and that annual reproductive rate and natural calf survival rates rose over time in a density‐dependent manner. However, selected models were equivocal regarding whether the natural juvenile survival rate was constant or decreasing over time. Depending on whether juvenile survival decreased after 1998, the population growth rate either increased during 1999–2015 or stabilized at a lesser level of decline than seen in the 1980s. The probability that the population was still declining in 2015 ranged from 45% to 87%.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mms.12434","usgsCitation":"Taylor, R.L., Udevitz, M.S., Jay, C.V., Citta, J.J., Quakenbush, L.T., Lemons, P.R., and Snyder, J.A., 2018, Demography of the Pacific walrus (Odobenus rosmarus divergens) in a changing Arctic: Marine Mammal Science, v. 34, no. 1, p. 54-86, https://doi.org/10.1111/mms.12434.","productDescription":"33 p.","startPage":"54","endPage":"86","ipdsId":"IP-079010","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":438063,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79K4894","text":"USGS data release","linkHelpText":"Sex and Age Composition of Walrus Groups Hauled Out on Ice Floes in the Bering and Chukchi Seas, 2013-2015"},{"id":342285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-02","publicationStatus":"PW","scienceBaseUri":"5b98a318e4b0702d0e84302c","contributors":{"authors":[{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":697603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":697604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Citta, John J.","contributorId":175350,"corporation":false,"usgs":false,"family":"Citta","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":742393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quakenbush, Lori T.","contributorId":47262,"corporation":false,"usgs":true,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":742394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lemons, Patrick R.","contributorId":192738,"corporation":false,"usgs":false,"family":"Lemons","given":"Patrick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":742395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snyder, Jonathan A.","contributorId":54086,"corporation":false,"usgs":true,"family":"Snyder","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":742396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70196279,"text":"70196279 - 2018 - Environmental and ecological conditions at Arctic breeding sites have limited effects on true survival rates of adult shorebirds","interactions":[],"lastModifiedDate":"2018-03-30T10:26:12","indexId":"70196279","displayToPublicDate":"2018-01-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Environmental and ecological conditions at Arctic breeding sites have limited effects on true survival rates of adult shorebirds","docAbstract":"<p><span>Many Arctic shorebird populations are declining, and quantifying adult survival and the effects of anthropogenic factors is a crucial step toward a better understanding of population dynamics. We used a recently developed, spatially explicit Cormack–Jolly–Seber model in a Bayesian framework to obtain broad-scale estimates of true annual survival rates for 6 species of shorebirds at 9 breeding sites across the North American Arctic in 2010–2014. We tested for effects of environmental and ecological variables, study site, nest fate, and sex on annual survival rates of each species in the spatially explicit framework, which allowed us to distinguish between effects of variables on site fidelity versus true survival. Our spatially explicit analysis produced estimates of true survival rates that were substantially higher than previously published estimates of apparent survival for most species, ranging from&nbsp;</span><i>S</i><span><span>&nbsp;</span>= 0.72 to 0.98 across 5 species. However, survival was lower for the<span>&nbsp;</span></span><i>arcticola</i><span>subspecies of Dunlin (</span><i>Calidris alpina arcticola</i><span>;<span>&nbsp;</span></span><i>S</i><span><span>&nbsp;</span>= 0.54), our only study taxon that migrates through the East Asian–Australasian Flyway. Like other species that use that flyway,<span>&nbsp;</span></span><i>arcticola</i><span><span>&nbsp;</span>Dunlin could be experiencing unsustainably low survival rates as a result of loss of migratory stopover habitat. Survival rates of our study species were not affected by timing of snowmelt or summer temperature, and only 2 species showed minor variation among study sites. Furthermore, although previous reproductive success, predator abundance, and the availability of alternative prey each affected survival of one species, no factors broadly affected survival across species. Overall, our findings of few effects of environmental or ecological variables suggest that annual survival rates of adult shorebirds are generally robust to conditions at Arctic breeding sites. Instead, conditions at migratory stopovers or overwintering sites might be driving adult survival rates and should be the focus of future studies.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-17-107.1","usgsCitation":"Weiser, E., Lanctot, R.B., Brown, S.C., Gates, H., Bentzen, R., Bety, J., Boldenow, M.L., English, W.B., Franks, S., Koloski, L., Kwon, E., Lamarre, J., Lank, D.B., Liebezeit, J.R., McKinnon, L., Nol, E., Rausch, J., Saalfeld, S., Senner, N.R., Ward, D.H., Wood, P., and Sandercock, B.K., 2018, Environmental and ecological conditions at Arctic breeding sites have limited effects on true survival rates of adult shorebirds: The Auk, v. 135, no. 1, p. 29-43, https://doi.org/10.1642/AUK-17-107.1.","productDescription":"15 p.","startPage":"29","endPage":"43","ipdsId":"IP-087067","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":469120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-17-107.1","text":"Publisher Index Page"},{"id":352988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"135","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee753e4b0da30c1bfc24f","contributors":{"authors":[{"text":"Weiser, Emily L.","contributorId":171678,"corporation":false,"usgs":false,"family":"Weiser","given":"Emily L.","affiliations":[],"preferred":false,"id":732054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lanctot, Richard B.","contributorId":31894,"corporation":false,"usgs":true,"family":"Lanctot","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false},{"id":7029,"text":"Queen's University, Kingston, Ontario, Canada","active":true,"usgs":false},{"id":135,"text":"Biological Resources Division","active":false,"usgs":true},{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":732055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Stephen C.","contributorId":38457,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":732056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gates, H. River","contributorId":84256,"corporation":false,"usgs":true,"family":"Gates","given":"H. River","affiliations":[],"preferred":false,"id":732057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bentzen, Rebecca L.","contributorId":62070,"corporation":false,"usgs":true,"family":"Bentzen","given":"Rebecca L.","affiliations":[],"preferred":false,"id":732058,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bety, Joel","contributorId":203661,"corporation":false,"usgs":false,"family":"Bety","given":"Joel","email":"","affiliations":[{"id":36676,"text":"Université du Québec à Rimouski","active":true,"usgs":false}],"preferred":false,"id":732059,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boldenow, Megan L.","contributorId":203662,"corporation":false,"usgs":false,"family":"Boldenow","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":36677,"text":"Department of Biology and Wildlife, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":732060,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"English, Willow B.","contributorId":169341,"corporation":false,"usgs":false,"family":"English","given":"Willow","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":732061,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Franks, Samantha E.","contributorId":92979,"corporation":false,"usgs":true,"family":"Franks","given":"Samantha E.","affiliations":[],"preferred":false,"id":732062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koloski, Laura","contributorId":203665,"corporation":false,"usgs":false,"family":"Koloski","given":"Laura","email":"","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":732063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kwon, Eunbi","contributorId":169349,"corporation":false,"usgs":false,"family":"Kwon","given":"Eunbi","email":"","affiliations":[],"preferred":false,"id":732064,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lamarre, Jean-François","contributorId":169350,"corporation":false,"usgs":false,"family":"Lamarre","given":"Jean-François","affiliations":[],"preferred":false,"id":732065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lank, David B.","contributorId":42533,"corporation":false,"usgs":false,"family":"Lank","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":29801,"text":"Department of Biological Sciences, Simon Fraser University, Burnaby, BC","active":true,"usgs":false}],"preferred":false,"id":732066,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Liebezeit, Joseph R.","contributorId":127693,"corporation":false,"usgs":false,"family":"Liebezeit","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732067,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McKinnon, Laura","contributorId":169353,"corporation":false,"usgs":false,"family":"McKinnon","given":"Laura","email":"","affiliations":[],"preferred":false,"id":732068,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nol, Erica","contributorId":38459,"corporation":false,"usgs":true,"family":"Nol","given":"Erica","affiliations":[],"preferred":false,"id":732069,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rausch, Jennie","contributorId":103938,"corporation":false,"usgs":true,"family":"Rausch","given":"Jennie","affiliations":[],"preferred":false,"id":732070,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Saalfeld, Sarah T.","contributorId":41721,"corporation":false,"usgs":true,"family":"Saalfeld","given":"Sarah T.","affiliations":[],"preferred":false,"id":732071,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":732072,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":732053,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wood, Paul F.","contributorId":203707,"corporation":false,"usgs":false,"family":"Wood","given":"Paul F.","affiliations":[],"preferred":false,"id":732135,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Sandercock, Brett K.","contributorId":95816,"corporation":false,"usgs":true,"family":"Sandercock","given":"Brett","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":732136,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70197072,"text":"70197072 - 2018 - Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people","interactions":[],"lastModifiedDate":"2018-05-18T10:08:30","indexId":"70197072","displayToPublicDate":"2017-12-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people","docAbstract":"The North American Waterfowl Management Plan (NAWMP) has established a model for wildlife conservation planning over the last 3 decades. Management at a continental scale, leveraged funding, regional partnerships, and a strong science basis have been notable features. Periodic updates to the NAWMP occurred since implementation in 1986; however, a fundamental revision was accomplished in 2012 after extensive stakeholder engagement. An explicit fundamental goal for waterfowl conservation supporters was added in 2012, complementing existing goals for sustainable populations and sufficient habitat found in previous updates. We present a synopsis of progress toward implementation of the 2012 NAWMP and challenge the waterfowl management community to continue with meaningful steps toward achieving NAWMP goals. Adding goals and objectives for supporters increases potential relevance of NAWMP; however, it also presents a level of complexity that was not entirely anticipated. Additionally, the 2012 NAWMP recognized that traditional support from waterfowl hunters alone will not be sufficient to support waterfowl conservation in the future. Simultaneous consideration of multiple objectives, although implicit before, now is a specific focus for habitat and harvest management affecting hunters and other users of the waterfowl resource. The waterfowl management community is faced with revisiting objectives and management actions related to harvest regulations, landscape priorities, habitat conservation, and public engagement to garner broader support. These persistent management challenges are tangible and relevant candidates for greater integration. Ultimately, the structures and processes supporting waterfowl management also will need to be reconsidered.","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21391","usgsCitation":"Humburg, D.D., Anderson, M.G., Brasher, M., Carter, M.F., Eadie, J.M., Fulton, D.C., Johnson, F.A., Runge, M.C., and Vrtiska, M.P., 2018, Implementing the 2012 North American Waterfowl Management Plan revision: Populations, habitat, and people: Journal of Wildlife Management, v. 82, no. 2, p. 275-286, https://doi.org/10.1002/jwmg.21391.","productDescription":"12 p.","startPage":"275","endPage":"286","ipdsId":"IP-084218","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":354270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5afee755e4b0da30c1bfc26b","contributors":{"authors":[{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":735683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Michael G.","contributorId":202239,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36382,"text":"Institute For Wetland And Waterfowl Research, Ducks Unlimited  Canada, Stonewall, Mb R0c 2z0, Canada","active":true,"usgs":false}],"preferred":false,"id":735684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":17139,"corporation":false,"usgs":true,"family":"Brasher","given":"Michael G.","affiliations":[],"preferred":false,"id":735685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Michael F.","contributorId":204989,"corporation":false,"usgs":false,"family":"Carter","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":735686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eadie, John M.","contributorId":65219,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":7082,"text":"University of California - Davis","active":true,"usgs":false}],"preferred":false,"id":735687,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":735688,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":735689,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":735690,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":735691,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70255735,"text":"70255735 - 2018 - A land product characterization system for comparative analysis of satellite data and products","interactions":[],"lastModifiedDate":"2024-07-03T12:00:21.860629","indexId":"70255735","displayToPublicDate":"2017-12-29T06:59:07","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A land product characterization system for comparative analysis of satellite data and products","docAbstract":"<div class=\"html-p\">A Land Product Characterization System (LPCS) has been developed to provide land data and products to the community of individuals interested in validating space-based land products by comparing them with similar products available from other sensors or surface-based observations. The LPCS facilitates the application of global multi-satellite and in situ data for characterization and validation of higher-level, satellite-derived, land surface products (e.g., surface reflectance, normalized difference vegetation index, and land surface temperature). The LPCS includes data search, inventory, access, and analysis functions that will permit data to be easily identified, retrieved, co-registered, and compared statistically through a single interface. The system currently includes data and products available from Landsat 4 through 8, Moderate Resolution Imaging Spectroradiometer (MODIS) Terra and Aqua, Suomi National Polar-Orbiting Partnership (S-NPP)/Joint Polar Satellite System (JPSS) Visible Infrared Imaging Radiometer Suite (VIIRS), and simulated data for the Geostationary Operational Environmental Satellite (GOES)-16 Advanced Baseline Imager (ABI). In addition to the future inclusion of in situ data, higher-level land products from the European Space Agency (ESA) Sentinel-2 and -3 series of satellites, and other high and medium resolution spatial sensors, will be included as available. When fully implemented, any of the sensor data or products included in the LPCS would be available for comparative analysis.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs10010048","usgsCitation":"Gallo, K., Stensaas, G.L., Dwyer, J.L., and Longhenry, R., 2018, A land product characterization system for comparative analysis of satellite data and products: Remote Sensing, v. 10, no. 1, 48, 10 p., https://doi.org/10.3390/rs10010048.","productDescription":"48, 10 p.","ipdsId":"IP-090046","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs10010048","text":"Publisher Index Page"},{"id":430753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallo, Kevin 0000-0001-9162-5011","orcid":"https://orcid.org/0000-0001-9162-5011","contributorId":257326,"corporation":false,"usgs":false,"family":"Gallo","given":"Kevin","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":905504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":905505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, John L. 0000-0002-8281-0896 dwyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8281-0896","contributorId":3481,"corporation":false,"usgs":true,"family":"Dwyer","given":"John","email":"dwyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":905506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longhenry, Ryan 0000-0002-9995-3690 rlonghenry@usgs.gov","orcid":"https://orcid.org/0000-0002-9995-3690","contributorId":4012,"corporation":false,"usgs":true,"family":"Longhenry","given":"Ryan","email":"rlonghenry@usgs.gov","affiliations":[],"preferred":true,"id":905507,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216339,"text":"70216339 - 2018 - Managing the water-energy-food nexus: Opportunities in Central Asia","interactions":[],"lastModifiedDate":"2020-11-12T15:58:35.123594","indexId":"70216339","displayToPublicDate":"2017-12-19T09:54:26","publicationYear":"2018","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":"Managing the water-energy-food nexus: Opportunities in Central Asia","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">This article examines impacts of infrastructure development and climate variability on economic outcomes for the Amu Darya Basin in Central Asia. It aims to identify the most economically productive mix of expanded reservoir storage for economic benefit sharing to occur, in which economic welfare of all riparians is improved. Policies examined include four combinations of storage infrastructure for each of two climate futures. An empirical optimization model is developed and applied to identify opportunities for improving the welfare of Tajikistan, Uzbekistan, Afghanistan, and Turkmenistan. The analysis 1) characterizes politically constrained and economically optimized water-use patterns for these combinations of expanded reservoir storage capacity, 2) describes Pareto-Improving packages of expanded storage capacity that could raise economic welfare for all four riparians, and accounts for impacts for each of two climate scenarios. Results indicate that a combination of targeted water storage infrastructure and efficient water allocation could produce outcomes for which the discounted net present value of benefits are favorable for each riparian. Results identify a framework to provide economic motivation for all riparians to cooperate through development of water storage infrastructure. Our findings illustrate the principle that development of water infrastructure can expand the negotiation space by which all communities can gain economic benefits in the face of limited water supply. Still, despite our optimistic findings, patient and deliberate negotiation will be required to transform potential improvements into actual gains.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.12.040","usgsCitation":"Jaliliv, S., Amer, S.A., and Ward, F., 2018, Managing the water-energy-food nexus: Opportunities in Central Asia: Journal of Hydrology, v. 557, p. 407-425, https://doi.org/10.1016/j.jhydrol.2017.12.040.","productDescription":"19 p.","startPage":"407","endPage":"425","ipdsId":"IP-090815","costCenters":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"links":[{"id":380460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Central Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              48.8671875,\n              24.5271348225978\n            ],\n            [\n              93.779296875,\n              24.5271348225978\n            ],\n            [\n              93.779296875,\n              47.931066347509784\n            ],\n            [\n              48.8671875,\n              47.931066347509784\n            ],\n            [\n              48.8671875,\n              24.5271348225978\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"557","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaliliv, Shokhrukh","contributorId":244841,"corporation":false,"usgs":false,"family":"Jaliliv","given":"Shokhrukh","email":"","affiliations":[{"id":48997,"text":"United Nations University Institute for the Advanced Study of Sustainability","active":true,"usgs":false}],"preferred":false,"id":804749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amer, Saud A. 0000-0002-5580-3260 samer@usgs.gov","orcid":"https://orcid.org/0000-0002-5580-3260","contributorId":244842,"corporation":false,"usgs":true,"family":"Amer","given":"Saud","email":"samer@usgs.gov","middleInitial":"A.","affiliations":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"preferred":true,"id":804750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Frank","contributorId":244843,"corporation":false,"usgs":false,"family":"Ward","given":"Frank","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":804751,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247740,"text":"70247740 - 2018 - Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault","interactions":[],"lastModifiedDate":"2023-08-15T14:35:05.049341","indexId":"70247740","displayToPublicDate":"2017-12-15T09:29:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault","docAbstract":"<p><span>Families of recurring low-frequency earthquakes (LFEs) within nonvolcanic tremor on the San Andreas Fault in central California are sensitive to tidal stresses. LFEs occur at all levels of the tides, are strongly correlated and in phase with the ~200&nbsp;Pa shear stresses, and weakly and not systematically correlated with the ~2&nbsp;kPa tidal normal stresses. We assume that LFEs are small sources that repeatedly fail during shear within a much larger scale, aseismically slipping fault zone and consider two different models of the fault slip: (1) modulation of the fault slip rate by the tidal stresses or (2) episodic slip, triggered by the tides. LFEs are strongly clustered with duration much shorter than the semidiurnal tide; they cannot be significantly modulated on that time scale. The recurrence times of clusters, however, are many times longer than the semidiurnal, leading to an appearance of tidal triggering. In this context we examine the predictions of laboratory-observed triggered frictional (dilatant) fault slip. The undrained end-member model produces no sensitivity to the tidal normal stress, and slip onsets are in phase with the tidal shear stress. The tidal correlation constrains the diffusivity to be less than ~1&nbsp;×&nbsp;10</span><sup>−6</sup><span>/s and the product of the friction and dilatancy coefficients to be at most 5&nbsp;×&nbsp;10</span><sup>−7</sup><span>, orders of magnitude smaller than observed at room temperature. In the absence of dilatancy the effective normal stress at failure would be about ~55&nbsp;kPa. For this model the observations require intrinsic weakness, low dilatancy, and lithostatic pore fluid.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB015052","usgsCitation":"Beeler, N.M., Thomas, A., Bürgmann, R., and Shelly, D.R., 2018, Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault: Journal of Geophysical Research, v. 123, no. 1, p. 583-605, https://doi.org/10.1002/2017JB015052.","productDescription":"23 p.","startPage":"583","endPage":"605","ipdsId":"IP-071583","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb015052","text":"External Repository"},{"id":419815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":880222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":880223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bürgmann, Roland","contributorId":172422,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":880224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194755,"text":"70194755 - 2018 - Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology","interactions":[],"lastModifiedDate":"2017-12-15T09:26:02","indexId":"70194755","displayToPublicDate":"2017-12-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology","docAbstract":"<p id=\"sp0125\">The Colorado River in the southwestern U.S. provides an excellent natural laboratory for studying the origins of a continent-scale river system, because deposits that formed prior to and during river initiation are well exposed in the lower river valley and nearby basinal sink. This paper presents a synthesis of regional stratigraphy, sedimentology, and micropaleontology from the southern Bouse Formation and similar-age deposits in the western Salton Trough, which we use to interpret processes that controlled the birth and early evolution of the Colorado River. The southern Bouse Formation is divided into three laterally persistent members: basal carbonate, siliciclastic, and upper bioclastic members. Basal carbonate accumulated in a tide-dominated marine embayment during a rise of relative sea level between ~&nbsp;6.3 and 5.4&nbsp;Ma, prior to arrival of the Colorado River. The transition to green claystone records initial rapid influx of river water and its distal clay wash load into the subtidal marine embayment at ~&nbsp;5.4–5.3&nbsp;Ma. This was followed by rapid southward progradation of the Colorado River delta, establishment of the earliest through-flowing river, and deposition of river-derived turbidites in the western Salton Trough (Wind Caves paleocanyon) between ~&nbsp;5.3 and 5.1&nbsp;Ma. Early delta progradation was followed by regional shut-down of river sand output between ~&nbsp;5.1 and 4.8&nbsp;Ma that resulted in deposition of marine clay in the Salton Trough, retreat of the delta, and re-flooding of the lower river valley by shallow marine water that deposited the Bouse upper bioclastic member. Resumption of sediment discharge at ~&nbsp;4.8&nbsp;Ma drove massive progradation of fluvial-deltaic deposits back down the river valley into the northern Gulf and Salton Trough.</p><p id=\"sp0130\">These results provide evidence for a discontinuous, start-stop-start history of sand output during initiation of the Colorado River that is not predicted by existing models for this system. The underlying controls on punctuated sediment discharge are assessed by comparing the depositional chronology to the record of global sea-level change. The lower Colorado River Valley and Salton Trough experienced marine transgression during a gradual<span>&nbsp;</span><i>fall</i><span>&nbsp;</span>in global sea level between ~&nbsp;6.3 and 5.5&nbsp;Ma, implicating tectonic subsidence as the main driver of latest Miocene relative sea-level rise. A major fall of global sea level at 5.3&nbsp;Ma outpaced subsidence and drove regional delta progradation, earliest flushing of Colorado River sand into the northern Gulf of California, and erosion of Bouse basal carbonate and siliciclastic members. The lower Colorado River valley was re-flooded by shallow marine waters during smaller changes in global sea level&nbsp;~&nbsp;5.1–4.8&nbsp;Ma, after the river first ran through it, which requires a mechanism to stop delivery of sand to the lower river valley. We propose that tectonically controlled subsidence along the lower Colorado River, upstream of the southern Bouse study area, temporarily trapped sediment and stopped delivery of sand to the lower river valley and northern Gulf of California for ~&nbsp;200–300 kyr. Massive progradation of the fluvial-deltaic system back down the river valley into the Salton Trough starting ~&nbsp;4.8–4.5&nbsp;Ma apparently was driven by a huge increase in sediment discharge that overwhelmed the sediment-storage capacity of sub-basins along the lower river corridor and established the fully integrated river channel network.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.sedgeo.2017.09.018","usgsCitation":"Dorsey, R.J., O’Connell, B., McDougall-Reid, K., and Homan, M.B., 2018, Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology: Sedimentary Geology, v. 363, p. 1-33, https://doi.org/10.1016/j.sedgeo.2017.09.018.","productDescription":"33 p.","startPage":"1","endPage":"33","ipdsId":"IP-088437","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17605/osf.io/vp2x8","text":"Publisher Index Page"},{"id":350026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.35345458984375,\n              32.59773394005744\n            ],\n            [\n              -114.51873779296875,\n              32.59773394005744\n            ],\n            [\n              -114.51873779296875,\n              33.76544869849223\n            ],\n            [\n              -116.35345458984375,\n              33.76544869849223\n            ],\n            [\n              -116.35345458984375,\n              32.59773394005744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"363","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c22739","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":725117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Brennan","contributorId":201373,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","affiliations":[],"preferred":false,"id":725119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDougall-Reid, Kristin 0000-0001-6026-0718 kris@usgs.gov","orcid":"https://orcid.org/0000-0001-6026-0718","contributorId":1942,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"kris@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":725118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Mindy B.","contributorId":200337,"corporation":false,"usgs":false,"family":"Homan","given":"Mindy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725120,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194778,"text":"70194778 - 2018 - Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases","interactions":[],"lastModifiedDate":"2017-12-15T09:13:38","indexId":"70194778","displayToPublicDate":"2017-12-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases","docAbstract":"<p><span>Multiply isotopically substituted molecules (‘clumped’ isotopologues) can be used as geothermometers because their proportions at isotopic equilibrium relative to a random distribution of isotopes amongst all isotopologues are functions of temperature. This has allowed measurements of clumped-isotope abundances to be used to constrain formation temperatures of several natural materials. However, kinetic processes during generation, modification, or transport of natural materials can also affect their clumped-isotope compositions. Herein, we show that methane generated experimentally by closed-system hydrous pyrolysis of shale or nonhydrous pyrolysis of coal yields clumped-isotope compositions consistent with an equilibrium distribution of isotopologues under some experimental conditions (temperature–time conditions corresponding to ‘low,’ ‘mature,’ and ‘over-mature’ stages of catagenesis), but can have non-equilibrium (i.e., kinetically controlled) distributions under other experimental conditions (‘high’ to ‘over-mature’ stages), particularly for pyrolysis of coal. Non-equilibrium compositions, when present, lead the measured proportions of clumped species to be lower than expected for equilibrium at the experimental temperature, and in some cases to be lower than a random distribution of isotopes (i.e., negative Δ</span><sub>18</sub><span><span>&nbsp;</span>values). We propose that the consistency with equilibrium for methane formed by relatively low temperature pyrolysis reflects local reversibility of isotope exchange reactions involving a reactant or transition state species during demethylation of one or more components of kerogen. Non-equilibrium clumped-isotope compositions occur under conditions where ‘secondary’ cracking of retained oil in shale or wet gas hydrocarbons (C</span><sub>2-5</sub><span>, especially ethane) in coal is prominent. We suggest these non-equilibrium isotopic compositions are the result of the expression of kinetic isotope effects during the irreversible generation of methane from an alkyl precursor. Other interpretations are also explored. These findings provide new insights into the chemistry of thermogenic methane generation, and may provide an explanation of the elevated apparent temperatures recorded by the methane clumped-isotope thermometer in some natural gases. However, it remains unknown if the laboratory experiments capture the processes that occur at the longer time and lower temperatures of natural gas formation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2017.11.024","usgsCitation":"Shuai, Y., Douglas, P.M., Zhang, S., Stolper, D.A., Ellis, G.S., Lawson, M., Lewan, M., Formolo, M., Mi, J., He, K., Hu, G., and Eiler, J.M., 2018, Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases: Geochimica et Cosmochimica Acta, v. 223, p. 159-174, https://doi.org/10.1016/j.gca.2017.11.024.","productDescription":"16 p.","startPage":"159","endPage":"174","ipdsId":"IP-085257","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":461095,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5qr487hm","text":"External Repository"},{"id":350024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad2e4b06e28e9c22733","contributors":{"authors":[{"text":"Shuai, Yanhua","contributorId":201375,"corporation":false,"usgs":false,"family":"Shuai","given":"Yanhua","email":"","affiliations":[],"preferred":false,"id":725128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, Peter M.J.","contributorId":201376,"corporation":false,"usgs":false,"family":"Douglas","given":"Peter","email":"","middleInitial":"M.J.","affiliations":[],"preferred":false,"id":725129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Shuichang","contributorId":201377,"corporation":false,"usgs":false,"family":"Zhang","given":"Shuichang","email":"","affiliations":[],"preferred":false,"id":725130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stolper, Daniel A.","contributorId":201378,"corporation":false,"usgs":false,"family":"Stolper","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawson, Michael","contributorId":199115,"corporation":false,"usgs":false,"family":"Lawson","given":"Michael","email":"","affiliations":[],"preferred":false,"id":725132,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725133,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Formolo, Michael","contributorId":201379,"corporation":false,"usgs":false,"family":"Formolo","given":"Michael","email":"","affiliations":[],"preferred":false,"id":725134,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mi, Jingkui","contributorId":201380,"corporation":false,"usgs":false,"family":"Mi","given":"Jingkui","email":"","affiliations":[],"preferred":false,"id":725135,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"He, Kun","contributorId":201381,"corporation":false,"usgs":false,"family":"He","given":"Kun","email":"","affiliations":[],"preferred":false,"id":725136,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hu, Guoyi","contributorId":201382,"corporation":false,"usgs":false,"family":"Hu","given":"Guoyi","email":"","affiliations":[],"preferred":false,"id":725137,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eiler, John M.","contributorId":190125,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725138,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194711,"text":"70194711 - 2018 - Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","interactions":[],"lastModifiedDate":"2018-03-13T09:27:24","indexId":"70194711","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","docAbstract":"This article corrects:\n\nUnderstanding Interaction Effects of Climate Change and Fire Management on Bird Distributions through Combined Process and Habitat Models\nVolume 25, Issue 3, 536–546, Article first published online: 28 April 2011","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13055","usgsCitation":"Gutzwiller, K.J., White, J.D., Barrow, W., and Randall, L.A., 2018, Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models: Conservation Biology, v. 32, no. 1, p. 258-259, https://doi.org/10.1111/cobi.13055.","productDescription":"2 p.","startPage":"258","endPage":"259","ipdsId":"IP-090585","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13055","text":"Publisher Index Page"},{"id":349972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c2273f","contributors":{"authors":[{"text":"Gutzwiller, Kevin J.","contributorId":201319,"corporation":false,"usgs":false,"family":"Gutzwiller","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Joseph D.","contributorId":201320,"corporation":false,"usgs":false,"family":"White","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":724979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":724982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194702,"text":"70194702 - 2018 - Are ranger patrols effective in reducing poaching-related threats within protected areas?","interactions":[],"lastModifiedDate":"2017-12-13T13:31:57","indexId":"70194702","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Are ranger patrols effective in reducing poaching-related threats within protected areas?","docAbstract":"<ol id=\"jpe12965-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Poaching is one of the greatest threats to wildlife conservation world-wide. However, the spatial and temporal patterns of poaching activities within protected areas, and the effectiveness of ranger patrols and ranger posts in mitigating these threats, are relatively unknown.</li><li>We used 10&nbsp;years (2006–2015) of ranger-based monitoring data and dynamic multi-season occupancy models to quantify poaching-related threats, to examine factors influencing the spatio-temporal dynamics of these threats and to test the efficiency of management actions to combat poaching in Nyungwe National Park (NNP), Rwanda.</li><li>The probability of occurrence of poaching-related threats was highest at lower elevations (1,801–2,200&nbsp;m), especially in areas that were close to roads and tourist trails; conversely, occurrence probability was lowest at high elevation sites (2,601–3,000&nbsp;m), and near the park boundary and ranger posts. The number of ranger patrols substantially increased the probability that poaching-related threats disappear at a site if threats were originally present (i.e. probability of extinction of threats). Without ranger visits, the annual probability of extinction of poaching-related threats was an estimated 7%; this probability would increase to 20% and 57% with 20 and 50 ranger visits per year, respectively.</li><li>Our results suggest that poaching-related threats can be effectively reduced in NNP by adding ranger posts in areas where they do not currently exist, and by increasing the number of patrols to sites where the probability of poaching activities is high.</li><li><i>Synthesis and applications</i>. Our application of dynamic occupancy models to predict the probability of presence of poaching-related threats is novel, and explicitly considers imperfect detection of illegal activities. Based on the modelled relationships, we identify areas that are most vulnerable to poaching, and offer insights regarding how ranger patrols can be optimally deployed to reduce poaching-related threats and other illegal activites, while taking into account potential sampling biases. We show that poaching can be effectively reduced by increasing ranger patrols to areas under high risk of poaching activities, and by adding ranger patrols near these sites. These findings are broadly applicable to national parks and protected areas experiencing a high degree of poaching and other illegal activities.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12965","usgsCitation":"Moore, J.F., Mulindahabi, F., Masozera, M.K., Nichols, J.D., Hines, J.E., Turikunkiko, E., and Oli, M.K., 2018, Are ranger patrols effective in reducing poaching-related threats within protected areas?: Journal of Applied Ecology, v. 55, no. 1, p. 99-107, https://doi.org/10.1111/1365-2664.12965.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-083605","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12965","text":"Publisher Index Page"},{"id":349969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","otherGeospatial":"Nyungwe National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c22744","contributors":{"authors":[{"text":"Moore, Jennnifer F.","contributorId":201298,"corporation":false,"usgs":false,"family":"Moore","given":"Jennnifer","email":"","middleInitial":"F.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulindahabi, Felix","contributorId":201299,"corporation":false,"usgs":false,"family":"Mulindahabi","given":"Felix","email":"","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turikunkiko, Ezechiel","contributorId":201301,"corporation":false,"usgs":false,"family":"Turikunkiko","given":"Ezechiel","email":"","affiliations":[{"id":35969,"text":"Rwanda Development Board, Nyungwe National Park, Kitabi, Rwanda","active":true,"usgs":false}],"preferred":false,"id":724939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194709,"text":"70194709 - 2018 - Integrating continuous stocks and flows into state-and-transition simulation models of landscape change","interactions":[],"lastModifiedDate":"2018-04-09T12:04:46","indexId":"70194709","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating continuous stocks and flows into state-and-transition simulation models of landscape change","docAbstract":"<ol><li>State-and-transition simulation models (STSMs) provide a general framework for forecasting landscape dynamics, including projections of both vegetation and land-use/land-cover (LULC) change. The STSM method divides a landscape into spatially-referenced cells and then simulates the state of each cell forward in time, as a discrete-time stochastic process using a Monte Carlo approach, in response to any number of possible transitions. A current limitation of the STSM method, however, is that all of the state variables must be discrete.<br></li><li>Here we present a new approach for extending a STSM, in order to account for continuous state variables, called a state-and-transition simulation model with stocks and flows (STSM-SF). The STSM-SF method allows for any number of continuous stocks to be defined for every spatial cell in the STSM, along with a suite of continuous flows specifying the rates at which stock levels change over time. The change in the level of each stock is then simulated forward in time, for each spatial cell, as a discrete-time stochastic process. The method differs from the traditional systems dynamics approach to stock-flow modelling in that the stocks and flows can be spatially-explicit, and the flows can be expressed as a function of the STSM states and transitions.</li><li>We demonstrate the STSM-SF method by integrating a spatially-explicit carbon (C) budget model with a STSM of LULC change for the state of Hawai'i, USA. In this example, continuous stocks are pools of terrestrial C, while the flows are the possible fluxes of C between these pools. Importantly, several of these C fluxes are triggered by corresponding LULC transitions in the STSM. Model outputs include changes in the spatial and temporal distribution of C pools and fluxes across the landscape in response to projected future changes in LULC over the next 50 years.</li><li>The new STSM-SF method allows both discrete and continuous state variables to be integrated into a STSM, including interactions between them. With the addition of stocks and flows, STSMs provide a conceptually simple yet powerful approach for characterizing uncertainties in projections of a wide range of questions regarding landscape change.<br></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12952","usgsCitation":"Daniel, C.J., Sleeter, B.M., Frid, L., and Fortin, M., 2018, Integrating continuous stocks and flows into state-and-transition simulation models of landscape change: Methods in Ecology and Evolution, v. 9, no. 4, p. 1133-1143, https://doi.org/10.1111/2041-210X.12952.","productDescription":"11 p.","startPage":"1133","endPage":"1143","ipdsId":"IP-092677","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469139,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12952","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":724959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frid, Leonardo","contributorId":56553,"corporation":false,"usgs":true,"family":"Frid","given":"Leonardo","affiliations":[],"preferred":false,"id":724961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":724962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194672,"text":"70194672 - 2018 - Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China)","interactions":[],"lastModifiedDate":"2018-01-05T13:48:51","indexId":"70194672","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China)","docAbstract":"<p id=\"sp0050\">Adakitic intrusions are supposed to have a close genetic and spatial relationship to porphyry Cu deposits. However, the genesis of adakitic intrusions is still under dispute. Here, we describe newly discovered intrusive complex rocks, which are composed of ore-bearing, layered magnetite-bearing gabbroic and adakitic rocks in Jiamate, East Junggar, NW China. These Jiamate Complex intrusions have diagnostic petrologic, geochronologic and geochemical signatures that indicate they were all generated from the same oxidized precursor magma source. Additionally, these layered rocks underwent the same fractional crystallization process as the ore-bearing adakitic rocks in the adjacent Kalaxiangar Porphyry Cu Belt (KPCB) in an oceanic island arc (OIA) setting. The rocks studied for this paper include layered magnetite-bearing gabbroic intrusive rocks that contain: (1) gradual contact changes between lithological units of mafic and intermediate rocks, (2) geochemical signatures that are the same as those found in oceanic island arc (OIA) rocks, (3) typical adakitic geochemistry, and (4) similar characteristics and apparent fractional crystallization relationships of ultra-basic to basic rocks to those in the nearby Beitashan Formation and to ore-bearing adakitic rocks in the KPCB. They also display similar zircon U-Pb and zircon Hf model ages.</p><p id=\"sp0055\">The Jiamate Complex intrusions contain intergrowths of magnetite and layered gabbro, and the intermediate-acidic intrusions of the Complex display typical adakitic affinities. Moreover, in conjunction with previously published geochronological and geochemistry data of the mafic rocks in the Beitashan Formation and in the KPCB area, additional data generated for the Jiamate Complex intrusions rocks indicate that they were formed from fractional crystallization processes. The Jiamate Complex intrusions most likely were derived from a metasomatized mantle wedge that was underplated at the root of the Saur oceanic island arc (Saur OIA). The ore-bearing adakitic intrusions in the KPCB and the adakitic Jiamate Complex intrusions were both probably generated from the same basaltic parental magmas through fractional crystallization. In addition, characteristics of the layered, magnetite-bearing, oxidized, basaltic Jiamate Complex intrusive rocks indicate that they are likely to be the parental arc magmas for the nearby porphyry Cu deposits. This conclusion is based on new interpretations of the regional and local geology, on interpretation of new geochemical analysis, new stable isotope analysis, new geothermobarometry, and new zircon age dating as well as other techniques and interpretations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2017.11.004","usgsCitation":"Hong, T., Xu, X., Gao, J., Peters, S., Zhang, D., Jielili, R., Xiang, P., Li, H., Wu, C., You, J., Liu, J., and Ke, Q., 2018, Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China): LITHOS, v. 296-299, p. 96-112, https://doi.org/10.1016/j.lithos.2017.11.004.","productDescription":"17 p.","startPage":"96","endPage":"112","ipdsId":"IP-092171","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"296-299","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22752","contributors":{"authors":[{"text":"Hong, Tao","contributorId":201265,"corporation":false,"usgs":false,"family":"Hong","given":"Tao","email":"","affiliations":[],"preferred":false,"id":724844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Xing-Wang","contributorId":201266,"corporation":false,"usgs":false,"family":"Xu","given":"Xing-Wang","email":"","affiliations":[],"preferred":false,"id":724845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Jungang","contributorId":201267,"corporation":false,"usgs":false,"family":"Gao","given":"Jungang","email":"","affiliations":[],"preferred":false,"id":724846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Stephen 0000-0002-4431-5675 speters@usgs.gov","orcid":"https://orcid.org/0000-0002-4431-5675","contributorId":167263,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen","email":"speters@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Di","contributorId":201268,"corporation":false,"usgs":false,"family":"Zhang","given":"Di","email":"","affiliations":[],"preferred":false,"id":724847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jielili, Reyaniguli","contributorId":201269,"corporation":false,"usgs":false,"family":"Jielili","given":"Reyaniguli","email":"","affiliations":[],"preferred":false,"id":724848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiang, Peng","contributorId":201270,"corporation":false,"usgs":false,"family":"Xiang","given":"Peng","email":"","affiliations":[],"preferred":false,"id":724849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Hao","contributorId":201271,"corporation":false,"usgs":false,"family":"Li","given":"Hao","email":"","affiliations":[],"preferred":false,"id":724850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wu, Chu","contributorId":201272,"corporation":false,"usgs":false,"family":"Wu","given":"Chu","email":"","affiliations":[],"preferred":false,"id":724851,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"You, Jun","contributorId":201273,"corporation":false,"usgs":false,"family":"You","given":"Jun","email":"","affiliations":[],"preferred":false,"id":724852,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liu, Jie","contributorId":201274,"corporation":false,"usgs":false,"family":"Liu","given":"Jie","email":"","affiliations":[],"preferred":false,"id":724853,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ke, Qiang","contributorId":201275,"corporation":false,"usgs":false,"family":"Ke","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":724854,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194697,"text":"70194697 - 2018 - Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","interactions":[],"lastModifiedDate":"2018-03-05T15:35:22","indexId":"70194697","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","docAbstract":"<p><span>The demography of many European waterbirds is not well understood because most countries have conducted little monitoring and assessment, and coordination among countries on waterbird management has little precedent. Yet intergovernmental treaties now mandate the use of sustainable, adaptive harvest strategies, whose development is challenged by a paucity of demographic information. In this study, we explore how a combination of allometric relationships, fragmentary monitoring and research information, and expert judgment can be used to estimate the parameters of a theta-logistic population model, which in turn can be used in a Markov decision process to derive optimal harvesting strategies. We show how to account for considerable parametric uncertainty, as well as for different management objectives. We illustrate our methodology with a poorly understood population of taiga bean geese (</span><i>Anser fabalis fabalis</i><span>), which is a popular game bird in Fennoscandia. Our results for taiga bean geese suggest that they may have demographic rates similar to other, well-studied species of geese, and our model-based predictions of population size are consistent with the limited monitoring information available. Importantly, we found that by using a Markov decision process, a simple scalar population model may be sufficient to guide harvest management of this species, even if its demography is age-structured. Finally, we demonstrated how two different management objectives can lead to very different optimal harvesting strategies, and how conflicting objectives may be traded off with each other. This approach will have broad application for European waterbirds by providing preliminary estimates of key demographic parameters, by providing insights into the monitoring and research activities needed to corroborate those estimates, and by producing harvest management strategies that are optimal with respect to the managers’ objectives, options, and available demographic information.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1659","usgsCitation":"Johnson, F.A., Alhainen, M., Fox, A.D., Madsen, J., and Guillemain, M., 2018, Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?: Ecological Applications, v. 28, no. 2, p. 427-441, https://doi.org/10.1002/eap.1659.","productDescription":"15 p.","startPage":"427","endPage":"441","ipdsId":"IP-088929","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/a2b6629c-a26a-4469-86e1-4330c86ccf42","text":"External Repository"},{"id":349956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","volume":"28","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5a60fae9e4b06e28e9c22970","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":724914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alhainen, Mikko","contributorId":141140,"corporation":false,"usgs":false,"family":"Alhainen","given":"Mikko","email":"","affiliations":[{"id":13690,"text":"Finnish Wildlife Agency","active":true,"usgs":false}],"preferred":false,"id":724915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":724916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":724917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillemain, Matthieu","contributorId":141131,"corporation":false,"usgs":false,"family":"Guillemain","given":"Matthieu","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":724918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194695,"text":"70194695 - 2018 - To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control","interactions":[],"lastModifiedDate":"2018-01-05T13:49:47","indexId":"70194695","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3890,"text":"Trends in Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control","docAbstract":"<p>Control strategies to reduce human schistosomiasis have evolved from ‘snail picking’ campaigns, a century ago, to modern wide-scale human treatment campaigns, or preventive chemotherapy. Unfortunately, despite the rise in preventive chemotherapy campaigns, just as many people suffer from schistosomiasis today as they did 50 years ago. Snail control can complement preventive chemotherapy by reducing the risk of transmission from snails to humans. Here, we present ideas for modernizing and scaling up snail control, including spatiotemporal targeting, environmental diagnostics, better molluscicides, new technologies (e.g., gene drive), and ‘outside the box’ strategies such as natural enemies, traps, and repellants. We conclude that, to achieve the World Health Assembly’s stated goal to eliminate schistosomiasis, it is time to give snail control another look.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pt.2017.10.002","usgsCitation":"Sokolow, S.H., Wood, C.L., Jones, I.J., Lafferty, K.D., Kuris, A., Hsieh, M.H., and De Leo, G.A., 2018, To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control: Trends in Parasitology, v. 34, no. 1, p. 23-40, https://doi.org/10.1016/j.pt.2017.10.002.","productDescription":"18 p.","startPage":"23","endPage":"40","ipdsId":"IP-089180","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5819334","text":"Publisher Index Page"},{"id":349948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c2274b","contributors":{"authors":[{"text":"Sokolow, Susanne H.","contributorId":52503,"corporation":false,"usgs":false,"family":"Sokolow","given":"Susanne","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Chelsea L.","contributorId":192504,"corporation":false,"usgs":false,"family":"Wood","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Isabel J.","contributorId":173135,"corporation":false,"usgs":false,"family":"Jones","given":"Isabel","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":724904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuris, Armand","contributorId":181951,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","affiliations":[],"preferred":false,"id":724908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hsieh, Michael H.","contributorId":146317,"corporation":false,"usgs":false,"family":"Hsieh","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":16665,"text":"Stanford University; Biomedical Research Institute; Children's National Health System; The George Washington University","active":true,"usgs":false}],"preferred":false,"id":724909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Leo, Giulio A.","contributorId":146323,"corporation":false,"usgs":false,"family":"De Leo","given":"Giulio","email":"","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724910,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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