{"pageNumber":"930","pageRowStart":"23225","pageSize":"25","recordCount":165549,"records":[{"id":70192890,"text":"70192890 - 2017 - Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","interactions":[],"lastModifiedDate":"2018-01-26T11:56:26","indexId":"70192890","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"title":"Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau","docAbstract":"<p>The Colorado River Basin in Texas has experienced major alterations to its hydrologic regime due to changing land and water use patterns. These anthropogenic influences on hydrologic variability have had major implications for riparian and aquatic ecosystems and the species dependent upon them. However, impacts are often assessed at a limited temporal and spatial scale, tending to focus on relatively short and discrete periods or portions of a river basin. It is not clear how basin-wide alterations occurring over decades affect species. Guadalupe Bass Micropterus treculii are endemic to central Texas and are typically associated with shallow runs and riffles in small streams. However, Guadalupe Bass are found throughout the Colorado River Basin, including the mainstem portion of the lower river downstream of the city of Austin where they support a popular fishery. Because Guadalupe Bass exist across a wide range of stream orders within the basin, it is unclear whether populations respond similarly to anthropogenic disturbances or to conservation and restoration activities. Therefore, our objectives were to:</p><ol><li>Assess the effects of urbanization and hydrology on the population structure and dynamics of Guadalupe Bass.<br></li><li>Evaluate the effects of environmental gradients on ecomorphological variation in Guadalupe Bass populations across multiple spatial scales.<br></li><li>Describe the life history, habitat use, and behavior of the Guadalupe Bass population in the lower Colorado River and compare it to populations in more “typical” habitats.<br></li></ol><p>Results contribute to an understanding of the response of Guadalupe Bass to anthropogenic disturbances, including increased urbanization in central Texas and further assist in the conservation of the species. The ability of the population to not only persist, but flourish downstream of a heavily populated urban area presented a unique opportunity to investigate a native species response to anthropogenic disturbance. This research revealed differences in Guadalupe Bass habitat associations and movements, contrasts in age and growth, and morphological variation across a gradient of disturbance throughout the Colorado River Basin. Results of this work provide information on the potential effects of human population growth and increased water withdrawals on Guadalupe Bass populations. Additionally, this work adds to an understanding of the unique Guadalupe Bass population found in the lower Colorado River and how it differs from upstream tributary populations. Gathering additional population-level information facilitates conservation actions critical to preserving preferred habitat and promoting growth rates for Guadalupe Bass in streams of different sizes and flow conditions while highlighting interpopulation differences that may warrant consideration for stocking programs and other management strategies. Key findings of this study were:</p><ul><li>The similarity in response of growth rates to streamflow throughout the Colorado Basin suggests phenotypic plasticity in this trait rather than population-specific adaptations.<br></li><li>Reductions in streamflows in the Colorado River Basin, whether due to increased frequency of drought or increased anthropogenic water withdrawal, will likely result in lower Guadalupe Bass growth rates with the potential to impact the structure of populations.<br></li><li>Growth and recruitment showed a positive correlation with increased baseflows and mean monthly flows; however, continued assessment is necessary to determine a true relationship.<br></li><li>We documented morphological divergence among Guadalupe Bass populations in response to spatial and temporal environmental variation. These ecomorphological differences among populations provide insight into the ability of Guadalupe Bass to respond to the differing in-stream habitat and flow conditions between small ‘typical’ tributary systems and the mainstem Colorado River.<br></li><li>Morphological variation may be a population-level adaptation that potentially needs to be taken into consideration when choosing broodstock to maximize stocking success within a system. Understanding the morphological differences between Guadalupe Bass populations in response to local conditions could improve the success of restoration and supplemental stocking programs, especially in the ever-changing landscape of central Texas.<br></li><li>We established a baseline for understanding the morphological response of Guadalupe Bass to increased population growth and the threats posed by increased water withdrawals and impervious surface.<br></li><li>The mainstem population of Guadalupe Bass was generally more mobile, and more responsive to changes in streamflow, than tributary populations. The observed differences could influence the response of Guadalupe Bass populations to conservation and management actions, such as habitat restoration efforts.<br></li><li>Continued monitoring of recruitment and angler exploitation may be beneficial to identify any changes that could negatively impact the population. Conservation initiatives solely focused on physical instream or riparian habitat are unlikely to be as beneficial to Guadalupe Bass as those focused on restoring or maintaining adequate streamflow<br></li></ul>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Pease, J.E., Grabowski, T.B., and Pease, A.A., 2017, Variation and plasticity and their interaction with urbanization in Guadalupe Bass populations on and off the Edwards Plateau: Cooperator Science Series, ii, 111 p.","productDescription":"ii, 111 p.","ipdsId":"IP-085567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347615,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/singleitem/collection/document/id/2195/rec/13"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c93e4b06e28e9cabaf8","contributors":{"authors":[{"text":"Pease, Jessica E.","contributorId":201491,"corporation":false,"usgs":false,"family":"Pease","given":"Jessica","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":725903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pease, Allison A.","contributorId":201493,"corporation":false,"usgs":false,"family":"Pease","given":"Allison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70190503,"text":"70190503 - 2017 - Celebrating ten years of collaboration","interactions":[],"lastModifiedDate":"2018-04-23T09:05:18","indexId":"70190503","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5672,"text":"GEOSUR Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Celebrating ten years of collaboration","docAbstract":"<p>Since the GEOSUR Program launched in 2007, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has had the honor of collaborating with CAF, PAIGH, and others supporting the Latin America GEOSUR Program. </p><p>The catalyst for starting the program was the convergence of regional geospatial activities USGS, PAIGH, and CAF had been involved in and they seized the opportunity to consolidate, and increase the sharing of geospatial information at national and regional levels. </p>","publisher":"GEOSUR","usgsCitation":"Cushing, W.M., 2017, Celebrating ten years of collaboration: GEOSUR Newsletter, v. 4, no. 8-9-10, p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-090413","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":352886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"8-9-10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f9","contributors":{"authors":[{"text":"Cushing, W. Matthew 0000-0001-5209-6006 mcushing@usgs.gov","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":2980,"corporation":false,"usgs":true,"family":"Cushing","given":"W.","email":"mcushing@usgs.gov","middleInitial":"Matthew","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":709489,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193543,"text":"70193543 - 2017 - Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-14T13:16:53","indexId":"70193543","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin","docAbstract":"<p><span>Understanding sampling efficiency and movements of subadult Lake Sturgeon&nbsp;</span><i>Acipenser fulvescens</i><span><span>&nbsp;</span>is necessary to facilitate population rehabilitation and recruitment monitoring in large systems with extensive riverine and lacustrine habitats. We used a variety of sampling methods to capture subadult Lake Sturgeon (i.e., fish between 75 and 130 cm TL that had not reached sexual maturity) and monitored their movements using radio telemetry in the lower Wolf River, a tributary to the Lake Winnebago system in Wisconsin. Our objectives were to determine whether (1) capture efficiency (expressed in terms of sampling time) of subadult Lake Sturgeon using multiple sampling methods was sufficient to justify within-river sampling as part of a basin-wide recruitment survey targeting subadults, (2) linear home ranges varied in relation to season or sex, and (3) subadult Lake Sturgeon remained in the lower Wolf River. From 2013 to 2014, 628 h of combined sampling effort that included gill nets, trotlines, electrofishing, and scuba capture was required to collect 18 subadult sturgeon, which were then implanted with radio transmitters and tracked by boat and plane. Linear home ranges did not differ in relation to sex but did vary among seasons, and the majority of movement occurred in spring. Seven of the 18 (39%) Lake Sturgeon left the river and were not detected in the river again during the study. Between 56% and 70% of subadult fish remaining in the river made definitive movements to, or near, known spawning locations when adult Lake Sturgeon were actively spawning. Our results suggest only a small proportion of subadult Lake Sturgeon in the Lake Winnebago population use the lower Wolf River, indicating that riverine sampling may not always be warranted when targeting subadults in large lake–river complexes. More information is needed on distribution of subadult Lake Sturgeon to develop sampling protocols for this population segment.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1334703","usgsCitation":"Snobl, Z.R., Isermann, D.A., Koenigs, R.P., and Raabe, J.K., 2017, Relative sampling efficiency and movements of subadult Lake Sturgeon in the Lower Wolf River, Wisconsin: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1070-1080, https://doi.org/10.1080/00028487.2017.1334703.","productDescription":"11 p.","startPage":"1070","endPage":"1080","ipdsId":"IP-082127","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lower Wolf River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.35729980468749,\n              43.75125720420175\n            ],\n            [\n              -88.3026123046875,\n              43.75125720420175\n            ],\n            [\n              -88.3026123046875,\n              44.797428998555645\n            ],\n            [\n              -89.35729980468749,\n              44.797428998555645\n            ],\n            [\n              -89.35729980468749,\n              43.75125720420175\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c2","contributors":{"authors":[{"text":"Snobl, Zachary R.","contributorId":199506,"corporation":false,"usgs":false,"family":"Snobl","given":"Zachary","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":719313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenigs, Ryan P.","contributorId":191473,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":719314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raabe, Joshua K.","contributorId":140952,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":719315,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192993,"text":"70192993 - 2017 - Piscivore diet response to a collapse in pelagic prey populations","interactions":[],"lastModifiedDate":"2017-11-12T16:15:41","indexId":"70192993","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Piscivore diet response to a collapse in pelagic prey populations","docAbstract":"<p>Pelagic fish populations in the upper San Francisco Estuary have experienced significant declines since the turn of the century; a pattern known as the pelagic organism decline (POD). This study investigated food habits of piscivorous fishes over two consecutive fall seasons following the decline of pelagic fish prey. Specifically, this study addressed the contribution of pelagic versus benthic prey to piscivorous fish diets, including the frequency of predation on special-status pelagic species, and the spatial variability in prey consumption. The piscivore community was dominated by Striped Bass and also included small numbers of Sacramento Pikeminnow and Largemouth Bass. Overall, pelagic prey items contributed less than 10% of the diet by weight in both years, whereas pre-POD studies gleaned from the literature found contributions of 39–100%, suggesting a major switch from pelagic to benthic prey resources. Between-year variation in piscivore diets reflected differences in environmental conditions associated with variation in freshwater outflow. No special status fish species were detected in any of the piscivore stomachs examined. The consequences of this pelagic to benthic diet shift warrants further investigation to understand its ecological relevance.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0618-x","usgsCitation":"Zeug, S., Feyrer, F.V., Brodsky, A., and Melgo, J., 2017, Piscivore diet response to a collapse in pelagic prey populations: Environmental Biology of Fishes, v. 100, no. 8, p. 947-958, https://doi.org/10.1007/s10641-017-0618-x.","productDescription":"12 p.","startPage":"947","endPage":"958","ipdsId":"IP-083460","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":348627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","volume":"100","issue":"8","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-26","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94145","contributors":{"authors":[{"text":"Zeug, Steven","contributorId":198888,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":717553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brodsky, Annie","contributorId":198889,"corporation":false,"usgs":false,"family":"Brodsky","given":"Annie","email":"","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false}],"preferred":false,"id":717554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melgo, Jenny","contributorId":198890,"corporation":false,"usgs":false,"family":"Melgo","given":"Jenny","email":"","affiliations":[{"id":12475,"text":"Cramer Fish Sciences, Auburn, CA","active":true,"usgs":false},{"id":35726,"text":"California Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":717555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194201,"text":"70194201 - 2017 - Paltry past-precipitation: Predisposing prairie dogs to plague?","interactions":[],"lastModifiedDate":"2017-11-17T15:14:11","indexId":"70194201","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","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":"Paltry past-precipitation: Predisposing prairie dogs to plague?","docAbstract":"<p><span>The plague bacterium&nbsp;</span><i>Yersinia pestis</i><span><span>&nbsp;</span>was introduced to California in 1900 and spread rapidly as a sylvatic disease of mammalian hosts and flea vectors, invading the Great Plains in the United States by the 1930s to 1940s. In grassland ecosystems, plague causes periodic, devastating epizootics in colonies of black-tailed prairie dogs (</span><i>Cynomys ludovicianus</i><span>), sciurid rodents that create and maintain subterranean burrows. In doing so, plague inhibits prairie dogs from functioning as keystone species of grassland communities. The rate at which fleas transmit<span>&nbsp;</span></span><i>Y. pestis</i><span><span>&nbsp;</span>is thought to increase when fleas are abundant. Flea densities can increase during droughts when vegetative production is reduced and herbivorous prairie dogs are malnourished and have weakened defenses against fleas. Epizootics of plague have erupted frequently in prairie dogs during years in which precipitation was plentiful, and the accompanying cool temperatures might have facilitated the rate at which fleas transmitted<span>&nbsp;</span></span><i>Y. pestis</i><span>. Together these observations evoke the hypothesis that transitions from dry-to-wet years provide conditions for plague epizootics in prairie dogs. Using generalized linear models, we analyzed a 24-year dataset on the occurrence of plague epizootics in 42 colonies of prairie dogs from Colorado, USA, 1982–2005. Of the 33 epizootics observed, 52% erupted during years with increased precipitation in summer. For the years with increased summer precipitation, if precipitation in the prior growing season declined from the maximum of 502 mm to the minimum of 200 mm, the prevalence of plague epizootics was predicted to increase 3-fold. Thus, reduced precipitation may have predisposed prairie dogs to plague epizootics when moisture returned. Biologists sometimes assume dry conditions are detrimental for plague. However, 48% of epizootics occurred during years in which precipitation was scarce in summer. In some cases, an increased abundance of fleas during dry years might compensate for other conditions that become less favorable for plague transmission. Global warming is forecasted to amplify the hydrological cycle in the Great Plains, causing an increased occurrence of prolonged droughts interceded by brief periods of intense precipitation. Results herein suggest these changes might affect plague cycles in prairie dogs. Both negative and positive consequences of dry conditions should be considered when managing plague.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21281","usgsCitation":"Eads, D., and Biggins, D.E., 2017, Paltry past-precipitation: Predisposing prairie dogs to plague?: Journal of Wildlife Management, v. 81, no. 6, p. 990-998, https://doi.org/10.1002/jwmg.21281.","productDescription":"9 p.","startPage":"990","endPage":"998","ipdsId":"IP-086521","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":438257,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71G0K17","text":"USGS data release","linkHelpText":"Occurrence of plague epizootics in colonies of black-tailed prairie dogs, Pawnee National Grassland, Colorado, 1982-2005"},{"id":349075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-04","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b6","contributors":{"authors":[{"text":"Eads, David deads@usgs.gov","contributorId":200549,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","affiliations":[],"preferred":true,"id":722638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":722639,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190374,"text":"70190374 - 2017 -  Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","interactions":[],"lastModifiedDate":"2018-01-04T12:29:51","indexId":"70190374","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":" Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","docAbstract":"<p>Hawaiian coastal vegetation is comprised of plant species that are adapted to growing in extremely harsh conditions (salt spray, wave wash, wind, and substrates with limited nutrients) found in this habitat zone. Prior to human colonization of Hawai‘i coastal vegetation extended as a continuous ring around each of the islands, broken only by stretches of recent lava flows or unstable cliff faces. However, since humans arrived in Hawai‘i many areas that originally supported native coastal plant communities have been highly altered or the native vegetation totally removed for agriculture, housing, or resort development, destroyed by fire, displaced by invasive plants, eaten by introduced mammals, or damaged by recreational use. This study was focused on identifying sites that still retain relatively intact and highly diverse native coastal plant communities throughout the main Hawaiian Islands that may be further impacted by projected sea level rise. Approximately 40 percent of Hawai‘i’s coastlines were found to still contain high quality native coastal plant communities. Most of these sites were located in areas where the coastal vegetation can still migrate inshore in response to rising sea level and associated inundation by waves. However, six sites with high-quality native coastal vegetation were found on low-lying offshore islets that will be totally inundated with a one meter increase in sea level and thirty sites were found to have some type of fixed barrier, such as a paved road or structure, which would restrict the plants from colonizing the adjacent inland areas. Many of these sites also have other cultural resources that are fixed in place and will definitely be impacted by rising sea level. The results of this study can help refine our understanding of Hawai‘i’s remaining native coastal vegetation and aid with the development of management and restoration strategies to ensure the long-term survival of these unique plant communities.</p>","language":"English","publisher":"Pacific Islands Climate Change Cooperative","usgsCitation":"Jacobi, J.D., and Warshauer, F.R., 2017,  Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands, 49 p.","productDescription":"49 p.","ipdsId":"IP-087928","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":345227,"type":{"id":15,"text":"Index Page"},"url":"https://piccc.net/project/impacts-of-sea-level-rise-on-native-plant-communities-in-coastal-areas-of-the-main-hawaiian-islands/"},{"id":345268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a67d41e4b0fd9b77ce4799","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":708764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warshauer, Frederick R.","contributorId":195960,"corporation":false,"usgs":false,"family":"Warshauer","given":"Frederick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70190996,"text":"70190996 - 2017 - Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","interactions":[],"lastModifiedDate":"2017-10-16T14:58:51","indexId":"70190996","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SIEN/NRR—2017/1476","title":"Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","docAbstract":"<p><span>Whitebark pine and foxtail pine serve foundational roles in the subalpine zone of the Sierra Nevada. They provide the dominant structure in tree-line forests and regulate key ecosystem processes and community dynamics. Climate change models suggest that there will be changes in temperature regimes and in the timing and magnitude of precipitation within the current distribution of these species, and these changes may alter the species’ distributional limits. Other stressors include the non-native pathogen white pine blister rust and mountain pine beetle, which have played a role in the decline of whitebark pine throughout much of its range. The National Park Service is monitoring status and trends of these species. This report provides complementary information in the form of habitat suitability models to predict climate change impacts on the future distribution of these species within Sierra Nevada national parks.</span></p><p><span>We used maximum entropy modeling to build habitat suitability models by relating species occurrence to environmental variables. Species occurrence was available from 328 locations for whitebark pine and 244 for foxtail pine across the species’ distributions within the parks. We constructed current climate surfaces for modeling by interpolating data from weather stations. Climate surfaces included mean, minimum, and maximum temperature and total precipitation for January, April, July, and October. We downscaled five general circulation models for the 2050s and the 2090s from ~125 km2 to 1 km2 under both an optimistic and an extreme climate scenario to bracket potential climatic change and its influence on projected suitable habitat.<span>&nbsp;</span></span></p><p><span>To describe anticipated changes in the distribution of suitable habitat, we compared, for each species, climate scenario, and time period, the current models with future models in terms of proportional change in habitat size, elevation distribution, model center points, and where habitat is predicted to expand or contract.</span><br><span>Overall, models indicated that suitable habitats for whitebark and foxtail pine are more likely to shift geographically within the parks by 2100 rather than decline precipitously. This implies park managers might focus conservation efforts on stressors other than climate change, working toward species resilience in the face of threats from introduced disease and elevated native insect damage. More specifically, further understanding of the incidence and severity of white pine blister rust and other stressors in high elevation white pines would help assess vulnerability from threats other than climate change.</span></p>","language":"English","publisher":"National Park Service","usgsCitation":"Moore, P.E., Alvarez, O., McKinney, S., Li, W., Brooks, M.L., and Guo, Q., 2017, Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring: Natural Resource Report NPS/SIEN/NRR—2017/1476, ix, 74 p.","productDescription":"ix, 74 p.","numberOfPages":"88","ipdsId":"IP-085947","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":346639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345919,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2242390"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.80590820312499,\n              36.20882309283712\n            ],\n            [\n              -118.28979492187499,\n              36.20882309283712\n            ],\n            [\n              -118.28979492187499,\n              37.98533963422239\n            ],\n            [\n              -119.80590820312499,\n              37.98533963422239\n            ],\n            [\n              -119.80590820312499,\n              36.20882309283712\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9e2","contributors":{"authors":[{"text":"Moore, Peggy E. 0000-0002-8481-2617 peggy_moore@usgs.gov","orcid":"https://orcid.org/0000-0002-8481-2617","contributorId":3365,"corporation":false,"usgs":true,"family":"Moore","given":"Peggy","email":"peggy_moore@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, Otto","contributorId":196588,"corporation":false,"usgs":false,"family":"Alvarez","given":"Otto","email":"","affiliations":[],"preferred":false,"id":710864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinney, Shawn T.","contributorId":196590,"corporation":false,"usgs":false,"family":"McKinney","given":"Shawn T.","affiliations":[],"preferred":false,"id":710866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Wenkai","contributorId":196591,"corporation":false,"usgs":false,"family":"Li","given":"Wenkai","email":"","affiliations":[],"preferred":false,"id":710867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710862,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guo, Qinghua","contributorId":196589,"corporation":false,"usgs":false,"family":"Guo","given":"Qinghua","email":"","affiliations":[],"preferred":false,"id":710865,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193528,"text":"70193528 - 2017 - Winter habitat associations of eastern spotted skunks in Virginia","interactions":[],"lastModifiedDate":"2017-11-14T14:12:14","indexId":"70193528","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","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":"Winter habitat associations of eastern spotted skunks in Virginia","docAbstract":"<p><span>Eastern spotted skunk (</span><i>Spilogale putorius</i><span>) populations have declined throughout much of their range in the eastern United States over recent decades. Declines have been attributed to habitat loss or change, increased competition with sympatric mesocarnivore species, or disease. To better understand the extant distribution of spotted skunks in the Appalachian Mountains of western Virginia, USA, we used a detection-non-detection sampling approach using baited camera traps to evaluate the influence of landscape-level environmental covariates on spotted skunk detection probability and site occupancy. We conducted camera trap surveys at 91 sites from January to May in 2014 and 2015. Spotted skunk occupancy was associated with young-aged forest stands at lower elevations and more mature forest stands at higher elevations. Both land cover types in this region can be characterized as having complex forest structure, providing cover that varies with stand age, species composition, elevation, and management regime. Our results provide insight into factors that influence spotted skunk spatial distribution and habitat selection, information that can be used to generate conservation assessments and inform management decisions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21282","usgsCitation":"Thorne, E.D., Waggy, C., Jachowski, D.S., Kelly, M.J., and Ford, W., 2017, Winter habitat associations of eastern spotted skunks in Virginia: Journal of Wildlife Management, v. 81, no. 6, p. 1042-1050, https://doi.org/10.1002/jwmg.21282.","productDescription":"9 p.","startPage":"1042","endPage":"1050","ipdsId":"IP-081367","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Augusta County, Bath County, Botetourt County, Craig County, Giles County, Grayson County, Highland County, Rockbridge County, Rockingham County, Wythe 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J.","contributorId":179348,"corporation":false,"usgs":false,"family":"Kelly","given":"Marcella","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719275,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192595,"text":"70192595 - 2017 - Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","interactions":[],"lastModifiedDate":"2017-11-21T11:24:14","indexId":"70192595","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","docAbstract":"Meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey remain undocumented despite a history of damaging slope movement extending back to at least 1903. This study applies an empirical approach to quantify the rainfall conditions leading to shallow landsliding based on analysis of overlapping historical precipitation data and records of landslide occurrence, and uses continuous monitoring to quantify antecedent soil moisture and hydrologic response to rainfall events at two failure-prone hillslopes. Analysis of historical rainfall data reveals that both extended duration and cumulative rainfall amounts are critical characteristics of many landslide-inducing storms, and is consistent with current monitoring results that show notable increases in shallow soil moisture and pore-water pressure in continuous rainfall periods. Monitoring results show that shallow groundwater levels and soil moisture increase from annual lows in late summer-early fall to annual highs in late winter-early spring, and historical data indicate that shallow landslides occur most commonly from tropical cyclones in late summer through fall and nor’easters in spring. Based on this seasonality, we derived two provisional rainfall thresholds using a limited dataset of documented landslides and rainfall conditions for each season and storm type. A lower threshold for landslide initiation in spring corresponds with high antecedent moisture conditions, and higher rainfall amounts are required to induce shallow landslides during the drier soil moisture conditions in late summer-early fall.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd North American Symposium on Landslides","conferenceDate":"June 4–8, 2017","conferenceLocation":"Roanoke, VA","language":"English","publisher":"Association of Environmental & Engineering Geologists (AEG)","isbn":"978-0-9897253-7-8","usgsCitation":"Ashland, F., Fiore, A.R., and Reilly, P.A., 2017, Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey, <i>in</i>  Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27, Roanoke, VA, June 4–8, 2017, p. 461-472.","productDescription":"12 p.","startPage":"461","endPage":"472","ipdsId":"IP-081612","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.0643310546875,\n              40.349683979095545\n            ],\n            [\n              -73.95584106445312,\n              40.349683979095545\n            ],\n            [\n              -73.95584106445312,\n              40.42499671108253\n            ],\n            [\n              -74.0643310546875,\n              40.42499671108253\n            ],\n            [\n              -74.0643310546875,\n              40.349683979095545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230cb","contributors":{"editors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":722952,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shakoor, Abdul","contributorId":200638,"corporation":false,"usgs":false,"family":"Shakoor","given":"Abdul","email":"","affiliations":[],"preferred":false,"id":722953,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Ashland, Francis 0000-0001-9948-0195 fashland@usgs.gov","orcid":"https://orcid.org/0000-0001-9948-0195","contributorId":198587,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis","email":"fashland@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":716486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192707,"text":"70192707 - 2017 - Parental care mitigates carry-over effects of poor early conditions on offspring growth","interactions":[],"lastModifiedDate":"2017-11-08T14:33:09","indexId":"70192707","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Parental care mitigates carry-over effects of poor early conditions on offspring growth","docAbstract":"<p><span>Poor developmental conditions can have long-lasting negative effects on offspring phenotypes, but impacts often differ among species. Contrasting responses may reflect disparities in experimental protocols among single-species studies or inherent differences among species in their sensitivity to early conditions and/or ability to mitigate negative impacts. We used a common experimental protocol to assess and compare the role of parental care in mitigating effects of poor early conditions on offspring among 4 sympatric bird species in the wild. We experimentally induced low incubation temperatures and examined effects on embryonic developmental rates, hatching success, nestling growth rates, and parental responses. We examined the generality of these effects across 4 species that differ in their phylogenetic history, breeding ecology, and life histories. We found that cooling led to delayed hatching in all species, but carry-over effects on offspring differed among species. Parents of some but not all species increased their offspring provisioning rates in response to experimental cooling with critical benefits for offspring growth rates. Our study shows for the first time that species exhibit clear differences in the degree to which they are affected by poor early conditions. Observed differences among species demonstrate that parental care is a critical mechanism for mitigating potential negative effects on offspring and suggest that parental responses may be constrained to varying degrees by ecology and life histories.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/arx082","usgsCitation":"Auer, S.K., and Martin, T.E., 2017, Parental care mitigates carry-over effects of poor early conditions on offspring growth: Behavioral Ecology, v. 28, no. 4, p. 1176-1182, https://doi.org/10.1093/beheco/arx082.","productDescription":"7 p.","startPage":"1176","endPage":"1182","ipdsId":"IP-069790","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/arx082","text":"Publisher Index Page"},{"id":348473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5a0425b5e4b0dc0b45b4533a","contributors":{"authors":[{"text":"Auer, Sonya K.","contributorId":74267,"corporation":false,"usgs":true,"family":"Auer","given":"Sonya","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196468,"text":"70196468 - 2017 - Integrating geographically isolated wetlands into land management decisions","interactions":[],"lastModifiedDate":"2018-05-07T10:55:59","indexId":"70196468","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Integrating geographically isolated wetlands into land management decisions","docAbstract":"<p><span>Wetlands across the globe provide extensive ecosystem services. However, many wetlands – especially those surrounded by uplands, often referred to as geographically isolated wetlands (GIWs) – remain poorly protected. Protection and restoration of wetlands frequently requires information on their hydrologic connectivity to other surface waters, and their cumulative watershed‐scale effects. The integration of measurements and models can supply this information. However, the types of measurements and models that should be integrated are dependent on management questions and information compatibility. We summarize the importance of GIWs in watersheds and discuss what wetland connectivity means in both science and management contexts. We then describe the latest tools available to quantify GIW connectivity and explore crucial next steps to enhancing and integrating such tools. These advancements will ensure that appropriate tools are used in GIW decision making and maintaining the important ecosystem services that these wetlands support.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1504","usgsCitation":"Golden, H.E., Creed, I., Ali, G., Basu, N., Neff, B., Rains, M.C., McLaughlin, D.L., Alexander, L.C., Ameli, A.A., Christensen, J.R., Evenson, G.R., Jones, C.N., Lane, C., and Lang, M., 2017, Integrating geographically isolated wetlands into land management decisions: Frontiers in Ecology and the Environment, v. 15, no. 6, p. 319-327, https://doi.org/10.1002/fee.1504.","productDescription":"9 p.","startPage":"319","endPage":"327","ipdsId":"IP-088147","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469643,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6261316","text":"External Repository"},{"id":353288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f5","contributors":{"authors":[{"text":"Golden, Heather E.","contributorId":202423,"corporation":false,"usgs":false,"family":"Golden","given":"Heather","email":"","middleInitial":"E.","affiliations":[{"id":36429,"text":"USEPA ORD","active":true,"usgs":false}],"preferred":false,"id":733024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":733025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ali, Genevieve","contributorId":204052,"corporation":false,"usgs":false,"family":"Ali","given":"Genevieve","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":733026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basu, Nandita","contributorId":156369,"corporation":false,"usgs":false,"family":"Basu","given":"Nandita","affiliations":[{"id":20330,"text":"Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, ON N2L 3G1","active":true,"usgs":false}],"preferred":false,"id":733027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neff, Brian 0000-0003-3718-7350 bneff@usgs.gov","orcid":"https://orcid.org/0000-0003-3718-7350","contributorId":198885,"corporation":false,"usgs":true,"family":"Neff","given":"Brian","email":"bneff@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rains, Mark C.","contributorId":138983,"corporation":false,"usgs":false,"family":"Rains","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":12607,"text":"Univ of South florida, School of Geosciences, Tampa FL","active":true,"usgs":false}],"preferred":false,"id":733028,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLaughlin, Daniel L.","contributorId":156435,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Daniel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":733029,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Alexander, Laurie C.","contributorId":196285,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":733030,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ameli, Ali A.","contributorId":204057,"corporation":false,"usgs":false,"family":"Ameli","given":"Ali","email":"","middleInitial":"A.","affiliations":[{"id":33186,"text":"Western University","active":true,"usgs":false}],"preferred":false,"id":733031,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":733032,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evenson, Grey R.","contributorId":202422,"corporation":false,"usgs":false,"family":"Evenson","given":"Grey","email":"","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":733033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones, Charles N.","contributorId":204060,"corporation":false,"usgs":false,"family":"Jones","given":"Charles","email":"","middleInitial":"N.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":733034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lane, Charles R.","contributorId":138991,"corporation":false,"usgs":false,"family":"Lane","given":"Charles R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":733035,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lang, Megan","contributorId":156431,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":733036,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70193561,"text":"70193561 - 2017 - Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","interactions":[],"lastModifiedDate":"2017-11-13T16:29:02","indexId":"70193561","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Geographic variation in winter adaptations of snowshoe hares (<i>Lepus americanus</i>)","title":"Geographic variation in winter adaptations of snowshoe hares (Lepus americanus)","docAbstract":"<p><span>Understanding adaptations of nonhibernating northern endotherms to cope with extreme cold is important because climate-induced changes in winter temperatures and snow cover are predicted to impact these species the most. We compared winter pelage characteristics and heat production of snowshoe hares (</span><i>Lepus americanus</i><span><span>&nbsp;</span>Erxleben, 1777) on the southern edge of their range, in Pennsylvania (USA), to a northern population, in the Yukon (Canada), to investigate how hares might respond to changing environmental conditions. We also investigated how hares in Pennsylvania altered movement rates and resting spot selection to cope with variable winter temperatures. Hares from Pennsylvania had shorter, less dense, and less white winter coats than their northern counterparts, suggesting lower coat insulation. Hares in the southern population had lower pelage temperatures, indicating that they produced less heat than those in the northern population. In addition, hares in Pennsylvania did not select for resting spots that offered thermal advantages, but selected locations offering visual obstruction from predators. Movement rates were associated with ambient temperature, with the smallest movements occurring at the lower and upper range of observed ambient temperatures. Our results indicate that snowshoe hares may be able to adapt to future climate conditions via changes in pelage characteristics, metabolism, and behavior.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2016-0165","usgsCitation":"Gigliotti, L., Diefenbach, D.R., and Sheriff, M., 2017, Geographic variation in winter adaptations of snowshoe hares (Lepus americanus): Canadian Journal of Zoology, v. 95, no. 8, p. 539-545, https://doi.org/10.1139/cjz-2016-0165.","productDescription":"7 p.","startPage":"539","endPage":"545","ipdsId":"IP-073614","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230bc","contributors":{"authors":[{"text":"Gigliotti, Laura C. 0000-0002-6390-4133","orcid":"https://orcid.org/0000-0002-6390-4133","contributorId":200327,"corporation":false,"usgs":false,"family":"Gigliotti","given":"Laura C.","affiliations":[],"preferred":false,"id":721937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheriff, M.J.","contributorId":92880,"corporation":false,"usgs":true,"family":"Sheriff","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":721938,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193458,"text":"70193458 - 2017 - Landscape capability predicts upland game bird abundance and occurrence","interactions":[],"lastModifiedDate":"2017-11-10T18:36:35","indexId":"70193458","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","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":"Landscape capability predicts upland game bird abundance and occurrence","docAbstract":"<p><span>Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (</span><i>Scolopax minor</i><span>) and ruffed grouse (</span><i>Bonasa umbellus</i><span>). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence of either species. The LC models are useful predictors of patterns of occurrences in the northeastern United States, but they have limited utility as predictors of fine-scale or route-specific abundances.<span>&nbsp;</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21265","usgsCitation":"Loman, Z., Blomberg, E.J., DeLuca, W., Harrison, D.J., Loftin, C., and Wood, P.B., 2017, Landscape capability predicts upland game bird abundance and occurrence: Journal of Wildlife Management, v. 81, no. 6, p. 1110-1116, https://doi.org/10.1002/jwmg.21265.","productDescription":"7 p.","startPage":"1110","endPage":"1116","ipdsId":"IP-076384","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-27","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86104","contributors":{"authors":[{"text":"Loman, Zachary G.","contributorId":145932,"corporation":false,"usgs":false,"family":"Loman","given":"Zachary G.","affiliations":[],"preferred":false,"id":721640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomberg, Erik J.","contributorId":17543,"corporation":false,"usgs":false,"family":"Blomberg","given":"Erik","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":721641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeLuca, William","contributorId":192836,"corporation":false,"usgs":false,"family":"DeLuca","given":"William","affiliations":[],"preferred":false,"id":721642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Daniel J.","contributorId":200256,"corporation":false,"usgs":false,"family":"Harrison","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721644,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192826,"text":"70192826 - 2017 - Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","interactions":[],"lastModifiedDate":"2017-10-31T10:54:21","indexId":"70192826","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","docAbstract":"<p><span>We analyze the recorded responses of a 64-story, instrumented, concrete core shear wall building in San Francisco, California, equipped with tuned sloshing liquid dampers (TSDs) and buckling restraining braces (BRBs). Previously, only ambient data from the 72-channel array in the building were studied (</span><a class=\"ref NLM_xref-bibr\">Çelebi et al. 2013</a><span>). Recently, the 24 August 2014 M</span><sub>w</sub><span><span>&nbsp;</span>6.0 Napa and three other earthquakes were recorded. The peak accelerations of ambient and the larger Napa earthquake responses at the basement are 0.12 cm/s/s and 5.2 cm/s/s respectively—a factor of ~42. At the 61st level, they are 0.30 cm/s/s (ambient) and 16.8 cm/s/s (Napa), respectively—a factor of ~56. Fundamental frequencies (NS ~ 0.3, EW ~ 0.27 Hz) from earthquake responses vary within an insignificant frequency band of ~0.02–0.03 Hz when compared to those from ambient data. In the absence of soil-structure interaction (SSI), these small and insignificant differences may be attributed to (1) identification errors, (2) any nonlinear behavior, and (3) shaking levels that are not large enough to activate the BRBs and TSDs to make significant shifts in frequencies and increase damping.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/031616EQS041M","usgsCitation":"Çelebi, M., Hooper, J., and Klemencic, R., 2017, Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions: Earthquake Spectra, v. 33, no. 3, p. 1125-1148, https://doi.org/10.1193/031616EQS041M.","productDescription":"24 p.","startPage":"1125","endPage":"1148","ipdsId":"IP-071292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fremont, Napa, Piedmont, San Ramon","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59f98bb6e4b0531197af9fe7","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":717086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemencic, Ron","contributorId":146973,"corporation":false,"usgs":false,"family":"Klemencic","given":"Ron","email":"","affiliations":[],"preferred":false,"id":717087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193698,"text":"70193698 - 2017 - NEHRP turns 40","interactions":[],"lastModifiedDate":"2019-07-10T14:08:58","indexId":"70193698","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"NEHRP turns 40","docAbstract":"<p>This year, the National Earthquake Hazards Reduction Program (NEHRP) turns 40, four decades since the Earthquake Hazards Reduction Act of 1977 was enacted establishing the Program, spurring numerous federal, state, and community actions to reduce earthquake losses in the U.S.A. and its territories and setting a standard for earthquake loss‐reduction projects internationally. Four agencies are partners in NEHRP: the Federal Emergency Management Agency (FEMA), the National Institute of Standards and Technology (NIST, the lead agency), the National Science Foundation (NSF), and the U.S. Geological Survey (USGS).</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220170088","usgsCitation":"Leith, W.S., 2017, NEHRP turns 40: Seismological Research Letters, v. 88, no. 4, p. 943-947, https://doi.org/10.1785/0220170088.","productDescription":"5 p.","startPage":"943","endPage":"947","ipdsId":"IP-085746","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":348203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-07","publicationStatus":"PW","scienceBaseUri":"5a00314ee4b0531197b5a73e","contributors":{"authors":[{"text":"Leith, William S. 0000-0002-3463-3119 wleith@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-3119","contributorId":2248,"corporation":false,"usgs":true,"family":"Leith","given":"William","email":"wleith@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":719969,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193573,"text":"70193573 - 2017 - How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits","interactions":[],"lastModifiedDate":"2025-01-17T16:18:27.386458","indexId":"70193573","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits","docAbstract":"<p><span>This study explored how factors, including the function of bag limits, agency trust, satisfaction, hunting participation, and demographics, related to opinions about duck bag limits. The results are from a survey of 2014 Minnesota resident waterfowl hunters. Analyses identified four dimensions of attitudes about functions of bag limits, including that they: (a) are descriptive in defining the acceptable number of ducks that can be bagged, (b) are injunctive in establishing how many ducks should be allowed to be bagged, (c) ensure fair opportunities for all hunters to bag ducks, and (d) reflect biological limitations to protect waterfowl populations. Descriptive and fairness functions of bag limits were related to opinions about bag limits, as were factors related to agency trust, satisfaction, ducks bagged, experience with more restrictive bag limits, hunter age, and hunting group membership. Agencies may increase support by building trust and emphasizing the descriptive and fairness functions of regulations.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2017.1345021","usgsCitation":"Schroeder, S., Fulton, D.C., Lawrence, J.S., and Cordts, S.D., 2017, How hunter perceptions of wildlife regulations, agency trust, and satisfaction affect attitudes about duck bag limits: Human Dimensions of Wildlife, v. 22, no. 5, p. 454-475, https://doi.org/10.1080/10871209.2017.1345021.","productDescription":"22 p.","startPage":"454","endPage":"475","ipdsId":"IP-083734","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348256,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a2e4b09af898c8cb92","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":78235,"corporation":false,"usgs":true,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":719409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":719408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Jeffrey S.","contributorId":171470,"corporation":false,"usgs":false,"family":"Lawrence","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cordts, Steven D.","contributorId":171471,"corporation":false,"usgs":false,"family":"Cordts","given":"Steven","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":719411,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192164,"text":"70192164 - 2017 - Effects of deep basins on structural collapse during large subduction earthquakes","interactions":[],"lastModifiedDate":"2017-10-23T13:47:13","indexId":"70192164","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Effects of deep basins on structural collapse during large subduction earthquakes","docAbstract":"<p><span>Deep sedimentary basins are known to increase the intensity of ground motions, but this effect is implicitly considered in seismic hazard maps used in U.S. building codes. The basin amplification of ground motions from subduction earthquakes is particularly important in the Pacific Northwest, where the hazard at long periods is dominated by such earthquakes. This paper evaluates the effects of basins on spectral accelerations, ground-motion duration, spectral shape, and structural collapse using subduction earthquake recordings from basins in Japan that have similar depths as the Puget Lowland basin. For three of the Japanese basins and the Puget Lowland basin, the spectral accelerations were amplified by a factor of 2 to 4 for periods above 2.0 s. The long-duration subduction earthquakes and the effects of basins on spectral shape combined, lower the spectral accelerations at collapse for a set of building archetypes relative to other ground motions. For the hypothetical case in which these motions represent the entire hazard, the archetypes would need to increase up to 3.3 times its strength to compensate for these effects.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/071916EQS114M","usgsCitation":"Marafi, N.A., Eberhard, M.O., Berman, J.W., Wirth, E.A., and Frankel, A.D., 2017, Effects of deep basins on structural collapse during large subduction earthquakes: Earthquake Spectra, v. 33, no. 3, p. 963-997, https://doi.org/10.1193/071916EQS114M.","productDescription":"15 p.","startPage":"963","endPage":"997","ipdsId":"IP-078361","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f80","contributors":{"authors":[{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":714499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eberhard, Marc O.","contributorId":11575,"corporation":false,"usgs":true,"family":"Eberhard","given":"Marc","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":714500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berman, Jeffrey W.","contributorId":197876,"corporation":false,"usgs":false,"family":"Berman","given":"Jeffrey","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":714501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":197865,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","email":"","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":714502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":714498,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192043,"text":"70192043 - 2017 - Mapping tree density in forests of the southwestern USA using Landsat 8 data","interactions":[],"lastModifiedDate":"2017-10-25T15:47:41","indexId":"70192043","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Mapping tree density in forests of the southwestern USA using Landsat 8 data","docAbstract":"<p><span>The increase of tree density in forests of the American Southwest promotes extreme fire events, understory biodiversity losses, and degraded habitat conditions for many wildlife species. To ameliorate these changes, managers and scientists have begun planning treatments aimed at reducing fuels and increasing understory biodiversity. However, spatial variability in tree density across the landscape is not well-characterized, and if better known, could greatly influence planning efforts. We used reflectance values from individual Landsat 8 bands (bands 2, 3, 4, 5, 6, and 7) and calculated vegetation indices (difference vegetation index, simple ratios, and normalized vegetation indices) to estimate tree density in an area planned for treatment in the Jemez Mountains, New Mexico, characterized by multiple vegetation types and a complex topography. Because different vegetation types have different spectral signatures, we derived models with multiple predictor variables for each vegetation type, rather than using a single model for the entire project area, and compared the model-derived values to values collected from on-the-ground transects. Among conifer-dominated areas (73% of the project area), the best models (as determined by corrected Akaike Information Criteria (AICc)) included Landsat bands 2, 3, 4, and 7 along with simple ratios, normalized vegetation indices, and the difference vegetation index (</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>values for ponderosa: 0.47, piñon-juniper: 0.52, and spruce-fir: 0.66). On the other hand, in aspen-dominated areas (9% of the project area), the best model included individual bands 4 and 2, simple ratio, and normalized vegetation index (</span><i>R</i><sup>2</sup><span><span>&nbsp;</span>value: 0.97). Most areas dominated by ponderosa, pinyon-juniper, or spruce-fir had more than 100 trees per hectare. About 54% of the study area has medium to high density of trees (100–1000 trees/hectare), and a small fraction (4.5%) of the area has very high density (&gt;1000 trees/hectare). Our results provide a better understanding of tree density for identifying areas in need of treatment and planning for more effective treatment. Our analysis also provides an integrated method of estimating tree density across complex landscapes that could be useful for further restoration planning.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/f8080287","usgsCitation":"Humagain, K., Portillo-Quintero, C., Cox, R.D., and Cain, J.W., 2017, Mapping tree density in forests of the southwestern USA using Landsat 8 data: Forests, v. 8, no. 8, p. 1-15, https://doi.org/10.3390/f8080287.","productDescription":"Article 287; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-087221","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482064,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f8080287","text":"Publisher Index Page"},{"id":347412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.78092956542969,\n              35.621023736228004\n            ],\n            [\n              -106.40396118164062,\n              35.621023736228004\n            ],\n            [\n              -106.40396118164062,\n              36.00134056648952\n            ],\n            [\n              -106.78092956542969,\n              36.00134056648952\n            ],\n            [\n              -106.78092956542969,\n              35.621023736228004\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-09","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f44","contributors":{"authors":[{"text":"Humagain, Kamal","contributorId":198375,"corporation":false,"usgs":false,"family":"Humagain","given":"Kamal","email":"","affiliations":[],"preferred":false,"id":715906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Portillo-Quintero, Carlos","contributorId":198384,"corporation":false,"usgs":false,"family":"Portillo-Quintero","given":"Carlos","email":"","affiliations":[],"preferred":false,"id":715907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Robert D.","contributorId":26240,"corporation":false,"usgs":true,"family":"Cox","given":"Robert","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":715908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714002,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191446,"text":"70191446 - 2017 - Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","interactions":[],"lastModifiedDate":"2017-10-12T13:24:01","indexId":"70191446","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?","docAbstract":"<p><span>Postwildfire debris flows are frequently triggered by runoff following high-intensity rainfall, but the physical mechanisms by which water-dominated flows transition to debris flows are poorly understood relative to debris flow initiation from shallow landslides. In this study, we combined a numerical model with high-resolution hydrologic and geomorphic data sets to test two different hypotheses for debris flow initiation during a rainfall event that produced numerous debris flows within a recently burned drainage basin. Based on simulations, large volumes of sediment eroded from the hillslopes were redeposited within the channel network throughout the storm, leading to the initiation of numerous debris flows as a result of the mass failure of sediment dams that built up within the channel. More generally, results provide a quantitative framework for assessing the potential of runoff-generated debris flows based on sediment supply and hydrologic conditions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017GL074243","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., and Staley, D.M., 2017, Debris flow initiation by runoff in a recently burned basin: Is grain-by-grain sediment bulking or en masse failure to blame?: Geophysical Research Letters, v. 44, no. 14, p. 7310-7319, https://doi.org/10.1002/2017GL074243.","productDescription":"10 p.","startPage":"7310","endPage":"7319","ipdsId":"IP-088758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469640,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017gl074243","text":"Publisher Index Page"},{"id":346555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"44","issue":"14","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-25","publicationStatus":"PW","scienceBaseUri":"59e07f30e4b05fe04ccfcd14","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":712303,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712305,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712306,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192610,"text":"70192610 - 2017 - Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","interactions":[],"lastModifiedDate":"2017-11-10T11:32:56","indexId":"70192610","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Empirical estimation of recreational exploitation of burbot, <i>Lota lota</i>, in the Wind River drainage of Wyoming using a multistate capture–recapture model","title":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","docAbstract":"<p><span>Burbot,&nbsp;</span><i>Lota lota</i><span><span>&nbsp;</span>(Linnaeus), is a regionally popular sportfish in the Wind River drainage of Wyoming, USA, at the southern boundary of the range of the species. Recent declines in burbot abundances were hypothesised to be caused by overexploitation, entrainment in irrigation canals and habitat loss. This study addressed the overexploitation hypothesis using tagging data to generate reliable exploitation, abundance and density estimates from a multistate capture–recapture model that accounted for incomplete angler reporting and tag loss. Exploitation rate μ was variable among the study lakes and inversely correlated with density. Exploitation thresholds μ</span><sub>40</sub><span><span>&nbsp;</span>associated with population densities remaining above 40% of carrying capacity were generated to characterise risk of overharvest using exploitation and density estimates from tagging data and a logistic surplus-production model parameterised with data from other burbot populations. Bull Lake (μ&nbsp;=&nbsp;0.06, 95% CI: 0.03–0.11; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) and Torrey Lake (μ&nbsp;=&nbsp;0.02, 95% CI: 0.00–0.11; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) had a low risk of overfishing, Upper Dinwoody Lake had intermediate risk (μ&nbsp;=&nbsp;0.08, 95% CI: 0.02–0.32; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.18) and Lower Dinwoody Lake had high risk (μ&nbsp;=&nbsp;0.32, 95% CI: 0.10–0.67; μ</span><sub>40</sub><span>&nbsp;=&nbsp;0.08). These exploitation and density estimates can be used to guide sustainable management of the Wind River drainage recreational burbot fishery and inform management of other burbot fisheries elsewhere.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12226","usgsCitation":"Lewandoski, S., Guy, C.S., Zale, A.V., Gerrity, P.C., Deromedi, J.W., Johnson, K.M., and Skates, D.L., 2017, Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model: Fisheries Management and Ecology, v. 24, no. 4, p. 298-307, https://doi.org/10.1111/fme.12226.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-076704","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"24","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86108","contributors":{"authors":[{"text":"Lewandoski, S. A.","contributorId":200246,"corporation":false,"usgs":false,"family":"Lewandoski","given":"S. A.","affiliations":[],"preferred":false,"id":721592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":716544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deromedi, J. W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skates, D. L.","contributorId":200248,"corporation":false,"usgs":false,"family":"Skates","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193539,"text":"70193539 - 2017 - Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","interactions":[],"lastModifiedDate":"2017-11-14T13:24:12","indexId":"70193539","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales","docAbstract":"<p><span>Substantial declines of anadromous Atlantic Salmon&nbsp;</span><i>Salmo salar</i><span><span>&nbsp;</span>have occurred throughout its range, with many populations at the southern extent of the distribution currently extirpated or endangered. While both one sea winter (1SW) and two sea winter (2SW) spawner numbers for the North American stocks have declined since the 1950s, the decline has been most severe in 2SW spawners. The first months at sea are considered a period of high mortality. However, early ocean mortality alone cannot explain the more pronounced decline of 2SW spawners, suggesting that the second year at sea may be more critical than previously thought. Atlantic Salmon scales collected by anglers and the state agency from 1946 to 2013 from five rivers in eastern Maine were used to estimate smolt age and ocean age of returning adults. Additionally, seasonal growth rates of maiden 2SW spawners were estimated using intercirculi measurements and linear back-calculation methods. Generalized linear mixed models (Gaussian family, log link function) were used to investigate the influence of average sea surface temperature, accumulated thermal units, the Atlantic Multidecadal Oscillation (AMO) and North Atlantic Oscillation indices, smolt age, smolt length, postsmolt growth, and river of origin on growth rate during the oceanic migration of North American Atlantic Salmon. Results suggest that different factors influence salmon growth throughout their oceanic migration, and previous growth can be a strong predictor of future size. Growth was negatively impacted by the phase of the AMO, which has been linked to salmon abundance trends, in early spring following the postsmolt period. This is likely when the 1SW and 2SW stock components separate, and our results suggest that this period may be of interest in future work examining the disproportionate decline in 2SW spawners.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2017.1334723","usgsCitation":"Izzo, L.K., and Zydlewski, J.D., 2017, Retrospective analysis of seasonal ocean growth rates of two sea winter Atlantic Salmon in eastern Maine using historic scales: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 9, no. 1, p. 357-372, https://doi.org/10.1080/19425120.2017.1334723.","productDescription":"16 p.","startPage":"357","endPage":"372","ipdsId":"IP-077169","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2017.1334723","text":"Publisher Index Page"},{"id":348831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70,\n              43.45291889355465\n            ],\n            [\n              -40,\n              43.45291889355465\n            ],\n            [\n              -40,\n              70\n            ],\n            [\n              -70,\n              70\n            ],\n            [\n              -70,\n              43.45291889355465\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230c6","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":189241,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":722036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191375,"text":"70191375 - 2017 - Methodology for time-domain estimation of storm time geoelectric fields using the 3-D magnetotelluric response tensors","interactions":[],"lastModifiedDate":"2017-10-10T13:34:18","indexId":"70191375","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Methodology for time-domain estimation of storm time geoelectric fields using the 3-D magnetotelluric response tensors","docAbstract":"<p><span>Geoelectric fields at the Earth's surface caused by magnetic storms constitute a hazard to the operation of electric power grids and related infrastructure. The ability to estimate these geoelectric fields in close to real time and provide local predictions would better equip the industry to mitigate negative impacts on their operations. Here we report progress toward this goal: development of robust algorithms that convolve a magnetic storm time series with a frequency domain impedance for a realistic three-dimensional (3-D) Earth, to estimate the local, storm time geoelectric field. Both frequency domain and time domain approaches are presented and validated against storm time geoelectric field data measured in Japan. The methods are then compared in the context of a real-time application.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017SW001594","usgsCitation":"Kelbert, A., Balch, C., Pulkkinen, A., Egbert, G.D., Love, J.J., Rigler, E.J., and Fujii, I., 2017, Methodology for time-domain estimation of storm time geoelectric fields using the 3-D magnetotelluric response tensors: Space Weather, v. 15, no. 7, p. 874-894, https://doi.org/10.1002/2017SW001594.","productDescription":"21 p.","startPage":"874","endPage":"894","ipdsId":"IP-086748","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":469635,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/53630","text":"External Repository"},{"id":346474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-19","publicationStatus":"PW","scienceBaseUri":"59dddc0be4b05fe04ccd05d1","contributors":{"authors":[{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Balch, Christopher","contributorId":156386,"corporation":false,"usgs":false,"family":"Balch","given":"Christopher","affiliations":[{"id":20337,"text":"NOAA Space Weather Prediciton Center","active":true,"usgs":false}],"preferred":false,"id":712134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pulkkinen, Antti","contributorId":196970,"corporation":false,"usgs":false,"family":"Pulkkinen","given":"Antti","email":"","affiliations":[],"preferred":false,"id":712135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Egbert, Gary D.","contributorId":187462,"corporation":false,"usgs":false,"family":"Egbert","given":"Gary","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":712136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":712137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712138,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fujii, Ikuko","contributorId":196971,"corporation":false,"usgs":false,"family":"Fujii","given":"Ikuko","email":"","affiliations":[],"preferred":false,"id":712139,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70190701,"text":"70190701 - 2017 - The Florida manatee (Trichechus manatus latirostris) immunoglobulin heavy chain suggests the importance of clan III variable segments in repertoire diversity","interactions":[],"lastModifiedDate":"2017-09-12T15:17:05","indexId":"70190701","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1383,"text":"Developmental and Comparative Immunology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The Florida manatee (<i>Trichechus manatus latirostris</i>) immunoglobulin heavy chain suggests the importance of clan III variable segments in repertoire diversity","title":"The Florida manatee (Trichechus manatus latirostris) immunoglobulin heavy chain suggests the importance of clan III variable segments in repertoire diversity","docAbstract":"<p><span>Manatees are a vulnerable, charismatic sentinel species from the evolutionarily divergent Afrotheria. Manatee health and resistance to infectious disease is of great concern to conservation groups, but little is known about their immune system. To develop manatee-specific tools for monitoring health, we first must have a general knowledge of how the immunoglobulin heavy (IgH) chain locus is organized and transcriptionally expressed. Using the genomic scaffolds of the Florida manatee (</span><i>Trichechus manatus latirostris</i><span>), we characterized the potential IgH segmental diversity and constant region isotypic diversity and performed the first Afrotherian repertoire analysis. The Florida manatee has low V(D)J combinatorial diversity (3744 potential combinations) and few constant region isotypes. They also lack clan III V segments, which may have caused reduced VH segment numbers. However, we found productive somatic hypermutation concentrated in the complementarity determining regions. In conclusion, manatees have limited IGHV clan and combinatorial diversity. This suggests that clan III V segments are essential for maintaining IgH locus diversity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.dci.2017.01.022","usgsCitation":"Breaux, B., Deiss, T.C., Chen, P.L., Cruz-Schneider, M.P., Sena, L., Hunter, M.E., Bonde, R.K., and Criscitiello, M.F., 2017, The Florida manatee (Trichechus manatus latirostris) immunoglobulin heavy chain suggests the importance of clan III variable segments in repertoire diversity: Developmental and Comparative Immunology, v. 72, p. 57-68, https://doi.org/10.1016/j.dci.2017.01.022.","productDescription":"12 p.","startPage":"57","endPage":"68","ipdsId":"IP-079625","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dci.2017.01.022","text":"Publisher Index Page"},{"id":345672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aedd","contributors":{"authors":[{"text":"Breaux, Breanna","contributorId":196396,"corporation":false,"usgs":false,"family":"Breaux","given":"Breanna","email":"","affiliations":[],"preferred":false,"id":710223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deiss, Thaddeus C.","contributorId":196398,"corporation":false,"usgs":false,"family":"Deiss","given":"Thaddeus","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":710224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Patricia L.","contributorId":196399,"corporation":false,"usgs":false,"family":"Chen","given":"Patricia","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":710225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cruz-Schneider, Maria Paula","contributorId":196400,"corporation":false,"usgs":false,"family":"Cruz-Schneider","given":"Maria","email":"","middleInitial":"Paula","affiliations":[],"preferred":false,"id":710226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sena, Leonardo","contributorId":196401,"corporation":false,"usgs":false,"family":"Sena","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":710227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140622,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":710228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":710229,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Criscitiello, Michael F.","contributorId":196403,"corporation":false,"usgs":false,"family":"Criscitiello","given":"Michael","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":710230,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191708,"text":"70191708 - 2017 - Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","interactions":[],"lastModifiedDate":"2017-10-23T16:10:42","indexId":"70191708","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","docAbstract":"<p><span>Tectonic stress in the crust evolves during a seismic cycle, with slow stress accumulation over interseismic periods, episodic stress steps at the time of earthquakes, and transient stress readjustment during a postseismic period that may last months to years. Static stress transfer to surrounding faults has been well documented to alter regional seismicity rates over both short and long time scales. While static stress transfer is instantaneous and long lived, postseismic stress transfer driven by viscoelastic relaxation of the ductile lower crust and mantle leads to additional, slowly varying stress perturbations. Both processes may be tested by comparing a decade-long record of regional seismicity to predicted time-dependent seismicity rates based on a stress evolution model that includes viscoelastic stress transfer. Here we explore crustal stress evolution arising from the seismic cycle in Southern California from 1981 to 2014 using five&nbsp;</span><i>M</i><span>≥6.5 source quakes: the<span>&nbsp;</span></span><i>M</i><span>7.3 1992 Landers, M6.5 1992 Big Bear,<span>&nbsp;</span></span><i>M</i><span>6.7 1994 Big Bear,<span>&nbsp;</span></span><i>M</i><span>7.1 1999 Hector Mine, and<span>&nbsp;</span></span><i>M</i><span>7.2 2010 El Mayor-Cucapah earthquakes. We relate the stress readjustment in the surrounding crust generated by each quake to regional seismicity using rate-and-state friction theory. Using a log likelihood approach, we quantify the potential to trigger seismicity of both static and viscoelastic stress transfer, finding that both processes have systematically shaped the spatial pattern of Southern California seismicity since 1992.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2017JB014200","usgsCitation":"Pollitz, F., and Cattania, C., 2017, Connecting crustal seismicity and earthquake-driven stress evolution in Southern California: Journal of Geophysical Research B: Solid Earth, v. 122, no. 8, p. 6473-6490, https://doi.org/10.1002/2017JB014200.","productDescription":"18 p.","startPage":"6473","endPage":"6490","ipdsId":"IP-083347","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469639,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014200","text":"External Repository"},{"id":347170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119,\n              32\n            ],\n            [\n              -114.5,\n              32\n            ],\n            [\n              -114.5,\n              36\n            ],\n            [\n              -119,\n              36\n            ],\n            [\n              -119,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-14","publicationStatus":"PW","scienceBaseUri":"59eeffa6e4b0220bbd988f84","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cattania, Camilla 0000-0003-0031-1696","orcid":"https://orcid.org/0000-0003-0031-1696","contributorId":197284,"corporation":false,"usgs":false,"family":"Cattania","given":"Camilla","email":"","affiliations":[],"preferred":false,"id":713124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189909,"text":"70189909 - 2017 - Spatial heterogeneity of within-stream methane concentrations","interactions":[],"lastModifiedDate":"2018-01-30T21:10:19","indexId":"70189909","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Spatial heterogeneity of within-stream methane concentrations","docAbstract":"<p><span>Streams, rivers, and other freshwater features may be significant sources of CH</span><sub>4</sub><span><span>&nbsp;</span>to the atmosphere. However, high spatial and temporal variabilities hinder our ability to understand the underlying processes of CH</span><sub>4</sub><span><span>&nbsp;</span>production and delivery to streams and also challenge the use of scaling approaches across large areas. We studied a stream having high geomorphic variability to assess the underlying scale of CH</span><sub>4</sub><span><span>&nbsp;</span>spatial variability and to examine whether the physical structure of a stream can explain the variation in surface CH</span><sub>4</sub><span>. A combination of high-resolution CH</span><sub>4</sub><span><span>&nbsp;</span>mapping, a survey of groundwater CH</span><sub>4</sub><span><span>&nbsp;</span>concentrations, quantitative analysis of methanogen DNA, and sediment CH</span><sub>4</sub><span><span>&nbsp;</span>production potentials illustrates the spatial and geomorphic controls on CH</span><sub>4</sub><span><span>&nbsp;</span>emissions to the atmosphere. We observed significant spatial clustering with high CH</span><sub>4</sub><span><span>&nbsp;</span>concentrations in organic-rich stream reaches and lake transitions. These sites were also enriched in the methane-producing<span>&nbsp;</span></span><i>mcrA</i><span><span>&nbsp;</span>gene and had highest CH</span><sub>4</sub><span><span>&nbsp;</span>production rates in the laboratory. In contrast, mineral-rich reaches had significantly lower concentrations and had lesser abundances of<span>&nbsp;</span></span><i>mcrA</i><span>. Strong relationships between CH</span><sub>4</sub><span>and the physical structure of this aquatic system, along with high spatial variability, suggest that future investigations will benefit from viewing streams as landscapes, as opposed to ecosystems simply embedded in larger terrestrial mosaics. In light of such high spatial variability, we recommend that future workers evaluate stream networks first by using similar spatial tools in order to build effective sampling programs.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JG003698","usgsCitation":"Crawford, J.T., Loken, L., West, W.E., Crary, B., Spawn, S.A., Gubbins, N., Jones, S., Striegl, R.G., and Stanley, E.H., 2017, Spatial heterogeneity of within-stream methane concentrations: Journal of Geophysical Research G: Biogeosciences, v. 122, no. 5, p. 1036-1048, https://doi.org/10.1002/2016JG003698.","productDescription":"13 p.","startPage":"1036","endPage":"1048","ipdsId":"IP-068962","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jg003698","text":"Publisher Index Page"},{"id":344492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-04","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b78d","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":706732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loken, Luke C. lloken@usgs.gov","contributorId":169218,"corporation":false,"usgs":true,"family":"Loken","given":"Luke C.","email":"lloken@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":706733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, William E.","contributorId":195309,"corporation":false,"usgs":false,"family":"West","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":706734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crary, Benjamin","contributorId":195310,"corporation":false,"usgs":false,"family":"Crary","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":706735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spawn, Seth A.","contributorId":181881,"corporation":false,"usgs":false,"family":"Spawn","given":"Seth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":706736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gubbins, Nicholas","contributorId":195312,"corporation":false,"usgs":false,"family":"Gubbins","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":706737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":706738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":706739,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":706740,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
]}