{"pageNumber":"866","pageRowStart":"21625","pageSize":"25","recordCount":184904,"records":[{"id":70197445,"text":"70197445 - 2018 - Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon","interactions":[],"lastModifiedDate":"2018-06-12T11:03:14","indexId":"70197445","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5708,"text":"Arcata Fisheries Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"TR 2018-33","title":"Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon","docAbstract":"<p>An area of great importance to resource management and conservation biology in the Klamath Basin is balancing water usage against the life history requirements of threatened Coho Salmon. One tool for addressing this topic is a freshwater dynamics model to forecast Coho Salmon productivity based on environmental inputs. Constructing such a forecasting tool requires local data to quantify the unique life history processes of Coho Salmon inhabiting this region. Here, we describe analytical methods for estimating a series of sub-models, each capturing a different life history process, which will eventually be synchronized as part of a freshwater dynamics model for Klamath River Coho Salmon. Specifically, we draw upon extensive population monitoring data collected in the basin to estimate models of freshwater productivity, overwinter survival, and migration patterns. Our models of freshwater productivity indicated that high summer temperatures and high winter flows can both adversely affect smolt production and that such relationships&nbsp;are more likely in tributaries with naturally regulated flows due to substantial intraannual environmental variation. Our models of overwinter survival demonstrated extensive variability in survival among years, but not among rearing locations, and demonstrated that a substantial proportion (~ 20%) of age-0+ fish emigrate from some rearing sites in the winter. Our models of migration patterns indicated that many age-0+ fish redistribute in the basin during the summer and winter. Further, we observed that these redistributions can entail long migrations in the mainstem where environmental stressors likely play a role in cueing refuge entry. Finally, our models of migration patterns indicated that changes in discharge are important in cueing the seaward migration of smolts, but that the nature of this behavioral response can differ dramatically between tributaries with naturally and artificially regulated flows. Collectively, these analyses demonstrate that environmental variation interacts with most phases of the freshwater life history of Klamath River Coho Salmon and that anthropogenic environmental variation can have a particularly large bearing on productivity. </p>","language":"English","publisher":"U.S. Fish and Wildlife Service, Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Perry, R.W., Faukner, J., and Soto, T., 2018, Estimating freshwater productivity, overwinter survival, and migration patterns of Klamath River Coho Salmon: Arcata Fisheries Technical Report TR 2018-33, x, 74 p.","productDescription":"x, 74 p.","numberOfPages":"84","ipdsId":"IP-088669","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354702,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimatingFreshwaterProductivityOverwinterSurvivalandMigrationPatternsofKlamathRiverCohoSalmon.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1ab","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faukner, Jimmy","contributorId":205405,"corporation":false,"usgs":false,"family":"Faukner","given":"Jimmy","email":"","affiliations":[{"id":37098,"text":"Yurok Tribal Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soto, Toz","contributorId":205406,"corporation":false,"usgs":false,"family":"Soto","given":"Toz","email":"","affiliations":[{"id":37099,"text":"Karuk Tribe Fisheries Program","active":true,"usgs":false}],"preferred":false,"id":737183,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197950,"text":"70197950 - 2018 - Ecological resilience indicators for salt marsh ecosystems","interactions":[],"lastModifiedDate":"2018-07-02T11:35:34","indexId":"70197950","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecological resilience indicators for salt marsh ecosystems","docAbstract":"<p>Salt marshes are coastal ecosystems within the intertidal zone, characterized by hypoxic, saline, soil conditions and low biodiversity. Low diversity arises from frequent disturbance and stressful conditions (i.e., high salinity and hypoxia), where vegetative reproduction and low competition result in mostly monotypic stands, with some differences in plant community influenced by flooding regime (described below). While there are several types of salt marshes in the Northern Gulf of Mexico (NGoM), ranging from low to high salt marshes and salt flats (Tiner, 2013), Spartina alterniflora–dominated salt marshes in the Coastal and Marine Ecological Classification Standard (CMECS) Low and Intermediate Salt Marsh Biotic Group (FGDC, 2012) are the most extensive and are the focus of this project. These salt marshes are classified as “Gulf Coast Cordgrass Salt Marsh” (CEGL004190; USNVC, 2016). Within the NGoM region, some salt marsh areas are dominated by other species such as Spartina patens and Juncus roemerianus, which both occupy higher elevations in high-precipitation zones (e.g., Louisiana, Alabama, Mississippi, and Florida). In lower precipitation regions (southern Texas), hypersaline conditions often develop yielding communities of succulent salt marsh plants (Batis and Salicornia spp.). In climatic zones with warmer winter temperatures, temperate salt marshes naturally transition to mangrove (generally in the southern Gulf of Mexico range) or, in areas with lower precipitation, to salt flats (generally in western part of the study area). </p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Ecological resilience indicators for five northern Gulf of Mexico ecosystems","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"NatureServe","usgsCitation":"Allen, S.T., Stagg, C.L., Brenner, J., Goodin, K.L., Faber-Langendoen, D., Gabler, C., and Ames, K.W., 2018, Ecological resilience indicators for salt marsh ecosystems, 53 p.","productDescription":"53 p.","startPage":"37","endPage":"89","ipdsId":"IP-097740","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355399,"type":{"id":15,"text":"Index Page"},"url":"https://www.natureserve.org/biodiversity-science/publications/ecological-resilience-indicators-five-northern-gulf-mexico"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.96484375,\n              24.186847428521244\n            ],\n            [\n              -79.65087890624999,\n              24.186847428521244\n            ],\n            [\n              -79.65087890624999,\n              31.297327991404266\n            ],\n            [\n              -98.96484375,\n              31.297327991404266\n            ],\n            [\n              -98.96484375,\n              24.186847428521244\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d199","contributors":{"authors":[{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":739294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":739293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Jorge","contributorId":205829,"corporation":false,"usgs":false,"family":"Brenner","given":"Jorge","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":739295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodin, Kathleen L.","contributorId":206065,"corporation":false,"usgs":false,"family":"Goodin","given":"Kathleen","email":"","middleInitial":"L.","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":739296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faber-Langendoen, Don","contributorId":206066,"corporation":false,"usgs":false,"family":"Faber-Langendoen","given":"Don","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":739297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gabler, Christopher A.","contributorId":178709,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher A.","affiliations":[{"id":34767,"text":"School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas","active":true,"usgs":false}],"preferred":false,"id":739298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ames, Katherine Wirt","contributorId":205831,"corporation":false,"usgs":false,"family":"Ames","given":"Katherine","email":"","middleInitial":"Wirt","affiliations":[{"id":13088,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":739299,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197407,"text":"70197407 - 2018 - Movement behavior preceding autumn mortality for white-tailed deer in central New York","interactions":[],"lastModifiedDate":"2018-06-01T09:08:06","indexId":"70197407","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Movement behavior preceding autumn mortality for white-tailed deer in central New York","docAbstract":"A common yet largely untested assumption in the theory of animal movements is that increased rates and a wider range of movements, such as occurs during breeding, make animals more vulnerable to mortality. We examined mortality among 34 white-tailed deer (Odocoileus virginianus) wearing GPS collars during the autumn breeding season of 2006 and 2007 in a heavily hunted, forest-agricultural landscape of central New York state. We evaluated whether individuals having higher rates of movement incurred higher rates of mortality and whether mortality risk was higher when deer were in less familiar areas. We used a Cox proportional hazards model to analyze how mortality risk changes with movement rates measured over 3 time periods: < 1 day, up to 2 weeks prior to death, and 3–4 weeks prior to death. Overall, deer increased their movement rates as autumn progressed, males more so than females. However, deer that died moved at a slower rate relative to surviving deer up to 2 weeks prior to death (ß = -2.22 ± 0.81; 95% confidence interval [CI] = -3.91 to -0.51) and a slower rate on their day of death compared to deer that survived (ß = -1.77 ± 0.73; 95% CI = -3.19 to -0.33). Site familiarity was not significantly related to mortality risk. Deer were equally likely to die within their 50% core use area as elsewhere within their autumn home range. We hypothesize that increased sociality associated with breeding may make animals more vulnerable to harvest mortality. Our findings contradict general assumptions about the influences of movement behavior on mortality risk, suggesting that patterns may be sensitive to the spatiotemporal context of the movement analysis.","language":"English","doi":"10.1093/jmammal/gyy023","usgsCitation":"Whitman, B.J., Porter, W.F., Dechen Quinn, A.C., Williams, D.M., Frair, J.L., Underwood, H.B., and Crawford, J.C., 2018, Movement behavior preceding autumn mortality for white-tailed deer in central New York: Journal of Mammalogy, v. 99, no. 3, p. 675-683, https://doi.org/10.1093/jmammal/gyy023.","productDescription":"9 p.","startPage":"675","endPage":"683","ipdsId":"IP-091546","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy023","text":"Publisher Index 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PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-16","publicationStatus":"PW","scienceBaseUri":"5b155d6ee4b092d9651e1adc","contributors":{"authors":[{"text":"Whitman, Brigham J.","contributorId":205351,"corporation":false,"usgs":false,"family":"Whitman","given":"Brigham","email":"","middleInitial":"J.","affiliations":[{"id":37087,"text":"Department of Environmental and Forest Biology, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":737047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porter, W. F.","contributorId":205352,"corporation":false,"usgs":false,"family":"Porter","given":"W.","email":"","middleInitial":"F.","affiliations":[{"id":37088,"text":"Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA","active":true,"usgs":false}],"preferred":false,"id":737048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dechen Quinn, Amy C.","contributorId":205353,"corporation":false,"usgs":false,"family":"Dechen Quinn","given":"Amy","email":"","middleInitial":"C.","affiliations":[{"id":37088,"text":"Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA","active":true,"usgs":false}],"preferred":false,"id":737049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, David M.","contributorId":205354,"corporation":false,"usgs":false,"family":"Williams","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37088,"text":"Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA","active":true,"usgs":false}],"preferred":false,"id":737050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frair, Jacqueline L.","contributorId":140184,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":737051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":737046,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Joanne C.","contributorId":205355,"corporation":false,"usgs":false,"family":"Crawford","given":"Joanne","email":"","middleInitial":"C.","affiliations":[{"id":37088,"text":"Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA","active":true,"usgs":false}],"preferred":false,"id":737052,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70197436,"text":"70197436 - 2018 - The utility of point count surveys to predict wildlife interactions with wind energy facilities: An example focused on golden eagles","interactions":[],"lastModifiedDate":"2018-06-05T09:53:39","indexId":"70197436","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"The utility of point count surveys to predict wildlife interactions with wind energy facilities: An example focused on golden eagles","docAbstract":"<p><span>Wind energy development is rapidly expanding in North America, often accompanied by requirements to survey potential facility locations for existing wildlife. Within the USA, golden eagles&nbsp;(</span><i>Aquila chrysaetos</i><span>) are among the most high-profile species of birds that are at risk from&nbsp;wind turbines. To m<span>inimize golden eagle fatalities in areas proposed for wind development, modified point count surveys are usually conducted to estimate use by these birds. However, it is not always clear what drives variation in the relationship between on-site point count data and actual use by eagles of a wind energy <span>project footprint. We used existing GPS-GSM telemetry data, collected at 15 min intervals from 13 golden eagles in 2012 and 2013, to explore the relationship between point count data and eagle use of an entire project footprint. To do this, we overlaid the telemetry data on hypothetical project footprints and simulated a variety of point count sampling strategies for those footprints. We compared the time an eagle was found in the sample plots with the time it was found in the project footprint using a metric we called “error due to sampling”. Error due to sampling for individual eagles appeared to be influenced by interactions between the size of the project footprint (20, 40, 90 or 180 km</span></span></span><sup>2</sup><span>) and the sampling type (random, systematic or stratified) and was greatest on 90 km</span><sup>2</sup><span><span>&nbsp;</span>plots. However, use of random sampling resulted in lowest error due to sampling within intermediate sized plots. In addition sampling intensity and sampling frequency both influenced the effectiveness of point count sampling. Although our work focuses on individual eagles (not the eagle populations typically surveyed in the field), our analysis shows both the utility of simulations to identify specific influences on error and also potential improvements to sampling that consider the context-specific manner that point counts are laid out on the landscape.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.01.024","usgsCitation":"Sur, M., Belthoff, J.R., Bjerre, E.R., Millsap, B.A., and Katzner, T., 2018, The utility of point count surveys to predict wildlife interactions with wind energy facilities: An example focused on golden eagles: Ecological Indicators, v. 88, p. 126-133, https://doi.org/10.1016/j.ecolind.2018.01.024.","productDescription":"8 p.","startPage":"126","endPage":"133","ipdsId":"IP-081663","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":468711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2018.01.024","text":"Publisher Index Page"},{"id":354710,"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              -118.5667,\n              33.4333\n            ],\n            [\n              -115.3833,\n              33.4333\n            ],\n            [\n              -115.3833,\n              36.1333\n            ],\n            [\n              -118.5667,\n              36.1333\n            ],\n            [\n              -118.5667,\n              33.4333\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1ad","contributors":{"authors":[{"text":"Sur, Maitreyi","contributorId":191354,"corporation":false,"usgs":false,"family":"Sur","given":"Maitreyi","email":"","affiliations":[],"preferred":false,"id":737147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belthoff, James R. 0000-0002-6051-2353","orcid":"https://orcid.org/0000-0002-6051-2353","contributorId":190592,"corporation":false,"usgs":false,"family":"Belthoff","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":737148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerre, Emily R.","contributorId":205390,"corporation":false,"usgs":false,"family":"Bjerre","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":737149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millsap, Brian A.","contributorId":205391,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":737150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":737146,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197446,"text":"70197446 - 2018 - Estimation of stream conditions in tributaries of the Klamath River, northern California","interactions":[],"lastModifiedDate":"2018-06-12T11:11:00","indexId":"70197446","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5708,"text":"Arcata Fisheries Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"TR 2018-32","title":"Estimation of stream conditions in tributaries of the Klamath River, northern California","docAbstract":"Because of their critical ecological role, stream temperature and discharge are requisite inputs for models of salmonid population dynamics. Coho Salmon inhabiting the Klamath Basin spend much of their freshwater life cycle inhabiting tributaries, but environmental data are often absent or only seasonally available at these locations. To address this information gap, we constructed daily averaged water temperature models that used simulated meteorological data to estimate daily tributary temperatures, and we used flow differentials recorded on the mainstem Klamath River to estimate daily tributary discharge.\n\nObserved temperature data were available for fourteen of the major salmon bearing tributaries, which enabled estimation of tributary-specific model parameters at those locations. Water temperature data from six mid-Klamath Basin tributaries were used to estimate a global set of parameters for predicting water temperatures in the remaining tributaries. The resulting parameter sets were used to simulate water temperatures for each of 75 tributaries from 1980-2015. Goodness-of-fit statistics computed from a cross-validation analysis demonstrated a high precision of the tributary-specific models in predicting temperature in unobserved years and of the global model in predicting temperatures in unobserved streams.\n\nKlamath River discharge has been monitored by four gages that broadly intersperse the 292 kilometers from the Iron Gate Dam to the Klamath River mouth. These gages defined the upstream and downstream margins of three reaches. Daily discharge of tributaries within a reach was estimated from 1980-2015 based on drainage-area proportionate allocations of the discharge differential between the upstream and downstream margin. Comparisons with measured discharge on Indian Creek, a moderate-sized tributary with naturally regulated flows, revealed that the estimates effectively approximated both the variability and magnitude of discharge.","language":"English","publisher":"U.S. Fish and Wildlife Service. Arcata Fish and Wildlife Office","usgsCitation":"Manhard, C.V., Som, N.A., Jones, E.C., and Perry, R.W., 2018, Estimation of stream conditions in tributaries of the Klamath River, northern California: Arcata Fisheries Technical Report TR 2018-32, vi, 28 p.","productDescription":"vi, 28 p.","numberOfPages":"34","ipdsId":"IP-088667","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":354934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":354703,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/arcata/fisheries/reports/technical/2018/EstimationofStreamConditionsinTributariesoftheKlamathRiverNorthernCalifornia.pdf"}],"country":"United States","state":"California","otherGeospatial":"Klamath River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.667,\n              41\n            ],\n            [\n              -122.3333,\n              41\n            ],\n            [\n              -122.3333,\n              42\n            ],\n            [\n              -123.667,\n              42\n            ],\n            [\n              -123.667,\n              41\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a9","contributors":{"authors":[{"text":"Manhard, Christopher V.","contributorId":203911,"corporation":false,"usgs":false,"family":"Manhard","given":"Christopher","email":"","middleInitial":"V.","affiliations":[{"id":36754,"text":"U.S. Fish and Wildlife Service, California Cooperative Fish and Wildlife Research Unit, Humboldt State University, 1 Harpst Street, Arcata, CA 95521, USA","active":true,"usgs":false}],"preferred":false,"id":737185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":737186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Edward C. 0000-0001-7255-1475 ejones@usgs.gov","orcid":"https://orcid.org/0000-0001-7255-1475","contributorId":203917,"corporation":false,"usgs":true,"family":"Jones","given":"Edward","email":"ejones@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":737184,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197456,"text":"70197456 - 2018 - Habitat associations of three crayfish endemic to the Ouachita Mountain Ecoregion","interactions":[],"lastModifiedDate":"2018-06-05T10:56:03","indexId":"70197456","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of three crayfish endemic to the Ouachita Mountain Ecoregion","docAbstract":"<p><span>Many crayfish are of conservation concern because of their use of unique habitats and often narrow ranges. In this study, we determined fine-scale habitat use by 3 crayfishes that are endemic to the Ouachita Mountains, in Oklahoma and Arkansas. We sampled&nbsp;</span><i>Faxonius menae</i><span><span>&nbsp;</span>(Mena Crayfish),<span>&nbsp;</span></span><i>F. leptogonopodus</i><span><span>&nbsp;</span>(Little River Creek Crayfish), and<span>&nbsp;</span></span><i>Fallicambarus tenuis</i><span><span>&nbsp;</span>(Ouachita Mountain Crayfish) from wet and dry erosional channel units of 29 reaches within the Little River catchment. We compared channel-unit and microhabitat selection for each species. Crayfish of all species and life stages selected erosional channel units more often than depositional units, even though these sites were often dry. Accordingly, crayfish at all life stages typically selected the shallowest available microhabitats. Adult crayfish of all species and juvenile Little River Creek Crayfish selected patches of coarse substrate, and all crayfish tended to use the lowest amount of bedrock available. In general, we showed that these endemic crayfish used erosional channel units of streams, even when the channel units were dry. Conservation efforts that protect erosional channel units and mitigate actions that cause channel downcutting to bedrock would benefit these crayfish, particularly during harsh, summer drying periods.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.017.0207","usgsCitation":"Dyer, J.J., and Brewer, S.K., 2018, Habitat associations of three crayfish endemic to the Ouachita Mountain Ecoregion: Southeastern Naturalist, v. 17, no. 2, p. 257-269, https://doi.org/10.1656/058.017.0207.","productDescription":"13 p.","startPage":"257","endPage":"269","ipdsId":"IP-091279","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Ouachita Mountain Ecoregion","volume":"17","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-25","publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a7","contributors":{"authors":[{"text":"Dyer, Joseph J.","contributorId":140681,"corporation":false,"usgs":false,"family":"Dyer","given":"Joseph","email":"","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":737267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":737226,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197402,"text":"70197402 - 2018 - The influence of drought on flow‐ecology relationships in Ozark Highland streams","interactions":[],"lastModifiedDate":"2018-07-24T10:02:57","indexId":"70197402","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of drought on flow‐ecology relationships in Ozark Highland streams","docAbstract":"<ol class=\"\"><li>Drought and summer drying can have strong effects on abiotic and biotic components of stream ecosystems. Environmental flow‐ecology relationships may be affected by drought and drying, adding further uncertainty to the already complex interaction of flow with other environmental variables, including geomorphology and water quality.</li><li>Environment–ecology relationships in stream communities in Ozark Highland streams, USA, were examined over two&nbsp;years with contrasting environmental conditions, a drought year (2012) and a flood year (2013). We analysed fish, crayfish and benthic macroinvertebrate assemblages using two different approaches: (1) a multiple regression analysis incorporating predictor variables related to habitat, water quality, geomorphology and hydrology and (2) a canonical ordination procedure using only hydrologic variables in which forward selection was used to select predictors that were most related to our response variables.</li><li>Reach‐scale habitat quality and geomorphology were found to be the most important influences on community structure, but hydrology was also important, particularly during the flood year. We also found substantial between‐year variation in environment–ecology relationships. Some ecological responses differed significantly between drought and flood years, while others remained consistent. We found that magnitude was the most important flow component overall, but that there was a shift in relative importance from low flow metrics during the drought year to average flow metrics during the flood year, and the specific metrics of importance varied markedly between assemblages and years.</li><li>Findings suggest that understanding temporal variation in flow‐ecology relationships may be crucial for resource planning. While some relationships show temporal variation, others are consistent between years. Additionally, different kinds of hydrologic variables can differ greatly in terms of which assemblages they affect and how they affect them. Managers can address this complexity by focusing on relationships that are temporally stable and flow metrics that are consistently important across groups, such as flood frequency and flow variability.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13089","usgsCitation":"Lynch, D.T., Leasure, D.R., and Magoulick, D.D., 2018, The influence of drought on flow‐ecology relationships in Ozark Highland streams: Freshwater Biology, v. 63, no. 8, p. 946-968, https://doi.org/10.1111/fwb.13089.","productDescription":"23 p.","startPage":"946","endPage":"968","ipdsId":"IP-086159","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","volume":"63","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-08","publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ae2","contributors":{"authors":[{"text":"Lynch, Dustin T.","contributorId":145645,"corporation":false,"usgs":false,"family":"Lynch","given":"Dustin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":737056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leasure, Douglas R.","contributorId":145643,"corporation":false,"usgs":false,"family":"Leasure","given":"Douglas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":737057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","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":737021,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197465,"text":"70197465 - 2018 - Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","interactions":[],"lastModifiedDate":"2018-06-06T11:01:01","indexId":"70197465","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2172,"text":"Journal of Applied Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area","docAbstract":"<p><span>Mapping of vegetation types is of great importance to the San Carlos Apache Tribe and their management of forestry and fire fuels. Various remote sensing techniques were applied to classify multitemporal Landsat 8 satellite data, vegetation index, and digital elevation model data. A multitiered unsupervised classification generated over 900 classes that were then recoded to one of the 16 generalized vegetation/land cover classes using the Southwest Regional Gap Analysis Project (SWReGAP) map as a guide. A supervised classification was also run using field data collected in the SWReGAP project and our field campaign. Field data were gathered and accuracy assessments were generated to compare outputs. Our hypothesis was that a resulting map would update and potentially improve upon the vegetation/land cover class distributions of the older SWReGAP map over the 24,000  km</span><sup>2</sup><span><span>&nbsp;</span>study area. The estimated overall accuracies ranged between 43% and 75%, depending on which method and field dataset were used. The findings demonstrate the complexity of vegetation mapping, the importance of recent, high-quality-field data, and the potential for misleading results when insufficient field data are collected.</span></p>","language":"English","publisher":"SPIE","doi":"10.1117/1.JRS.12.026017","usgsCitation":"Norman, L.M., Middleton, B.R., and Wilson, N.R., 2018, Remote sensing analysis of vegetation at the San Carlos Apache Reservation, Arizona and surrounding area: Journal of Applied Remote Sensing, v. 12, no. 2, p. 1-19, https://doi.org/10.1117/1.JRS.12.026017.","productDescription":"Article 026017; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-093007","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":468713,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1117/1.jrs.12.026017","text":"Publisher Index Page"},{"id":437886,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OCZ17X","text":"USGS data release","linkHelpText":"Vegetation Survey of the San Carlos Apache Reservation, Arizona and Surrounding Area (September to November 2017)."},{"id":354725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111,\n              32.5\n            ],\n            [\n              -109,\n              32.5\n            ],\n            [\n              -109,\n              34\n            ],\n            [\n              -111,\n              34\n            ],\n            [\n              -111,\n              32.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a5","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Barry R. 0000-0001-8924-4121 bmiddleton@usgs.gov","orcid":"https://orcid.org/0000-0001-8924-4121","contributorId":3947,"corporation":false,"usgs":true,"family":"Middleton","given":"Barry","email":"bmiddleton@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Natalie R. 0000-0001-5145-1221 nrwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":5770,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie","email":"nrwilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":737280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197403,"text":"70197403 - 2018 - Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration","interactions":[],"lastModifiedDate":"2018-07-03T11:10:56","indexId":"70197403","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration","docAbstract":"<p><span>Assessing nutrient stores in avian species is important for understanding the extent to which body condition influences success or failure in life‐history events. We evaluated predictive models using morphometric characteristics to estimate total body lipids (TBL) and total body protein (TBP), based on traditional proximate analyses, in spring migrating lesser snow geese (</span><i>Anser caerulescens caerulescens</i><span>) and Ross's geese (</span><i>A. rossii</i><span>). We also compared performance of our lipid model with a previously derived predictive equation for TBL developed for nesting lesser snow geese. We used external and internal measurements on 612 lesser snow and 125 Ross's geese collected during spring migration in 2015 and 2016 within the Central and Mississippi flyways to derive and evaluate predictive models. Using a validation data set, our best performing lipid model for snow geese better predicted TBL (root mean square error [RMSE] of 23.56) compared with a model derived from nesting individuals (RMSE = 48.60), suggesting the importance of season‐specific models for accurate lipid estimation. Models that included body mass and abdominal fat deposit best predicted TBL determined by proximate analysis in both species (lesser snow goose,<span>&nbsp;</span></span><i>R</i><sup>2</sup><span> = 0.87, RMSE = 23.56: Ross's geese,<span>&nbsp;</span></span><i>R</i><sup>2</sup><span> = 0.89, RMSE = 13.75). Models incorporating a combination of external structural measurements in addition to internal muscle and body mass best predicted protein values (</span><i>R</i><sup>2</sup><span> = 0.85, RMSE = 19.39 and<span>&nbsp;</span></span><i>R</i><sup>2</sup><span> = 0.85, RMSE = 7.65, lesser snow and Ross's geese, respectively), but protein models including only body mass and body size were also competitive and provided extended utility to our equations for field applications. Therefore, our models indicated the importance of specimen dissection and measurement of the abdominal fat pad to provide the most accurate lipid estimates and provide alternative dissection‐free methods for estimating protein.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.867","usgsCitation":"Webb, E.B., Fowler, D.N., Woodall, B.A., and Vrtiska, M.P., 2018, Evaluating indices of lipid and protein content in lesser snow and Ross's geese during spring migration: Wildlife Society Bulletin, v. 42, no. 2, p. 295-303, https://doi.org/10.1002/wsb.867.","productDescription":"9 p.","startPage":"295","endPage":"303","ipdsId":"IP-086754","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/b506db9d3c3242bc8767f8d690d7f8c1","text":"External Repository"},{"id":354662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Nebraska, South Dakota","volume":"42","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ae0","contributors":{"authors":[{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":737022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fowler, Drew N.","contributorId":205356,"corporation":false,"usgs":false,"family":"Fowler","given":"Drew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Brendan A.","contributorId":205358,"corporation":false,"usgs":false,"family":"Woodall","given":"Brendan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vrtiska, Mark P.","contributorId":54008,"corporation":false,"usgs":true,"family":"Vrtiska","given":"Mark","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":737055,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197838,"text":"70197838 - 2018 - Northern spotted owl habitat and populations: Status and threats","interactions":[],"lastModifiedDate":"2020-08-19T20:28:23.791383","indexId":"70197838","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Northern spotted owl habitat and populations: Status and threats","docAbstract":"The northern spotted owl (Strix occidentalis caurina) was listed as threatened under the Endangered Species Act in 1990 (USFWS 1990). Providing adequate amounts of suitable forest cover to sustain the subspecies was a major component of the first recovery plan for northern spotted owls (USFWS 1992) and a driver in the basic reserve design and old-forest restoration under the Northwest Forest Plan (NWFP, or Plan) (USDA and USDI 1994). The reserve design included large contiguous blocks of late-successional forest, which was expected to be sufficient to provide habitat for many interacting pairs of northern spotted owls. As such, the selection of reserves generally favored areas with the highest quality old-growth\nforests, but some areas of younger forest were also included with the expectation that they would eventually develop suitable forest structure characteristics and contribute to spatial patterns that would sustain spotted owl populations.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Synthesis of science to inform land management within the Northwest Forest Plan area. Gen. Tech. Rep. PNW-GTR-966","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"USDA Forest Service","usgsCitation":"Lesmeister, D.B., Davis, R.J., Singleton, P.H., and Wiens, D., 2018, Northern spotted owl habitat and populations: Status and threats, chap. 4 <i>of</i> Synthesis of science to inform land management within the Northwest Forest Plan area. Gen. Tech. Rep. PNW-GTR-966, p. 245-299.","productDescription":"55 p.","startPage":"245","endPage":"299","ipdsId":"IP-080739","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":355293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355264,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/56341"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.8154296875,\n              37.92686760148135\n            ],\n            [\n              -120.05859375,\n              37.92686760148135\n            ],\n            [\n              -120.05859375,\n              49.03786794532644\n            ],\n            [\n              -125.8154296875,\n              49.03786794532644\n            ],\n            [\n              -125.8154296875,\n              37.92686760148135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d19f","contributors":{"authors":[{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":738713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Ramond J","contributorId":205858,"corporation":false,"usgs":false,"family":"Davis","given":"Ramond","email":"","middleInitial":"J","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":738714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singleton, Peter H","contributorId":205859,"corporation":false,"usgs":false,"family":"Singleton","given":"Peter","email":"","middleInitial":"H","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":738715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":738712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197871,"text":"70197871 - 2018 - Establishing a baseline: the amphibians of Lower Suwannee National Wildlife Refuge, Dixie and Levy counties, Florida","interactions":[],"lastModifiedDate":"2018-06-22T15:05:44","indexId":"70197871","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1672,"text":"Florida Scientist","active":true,"publicationSubtype":{"id":10}},"title":"Establishing a baseline: the amphibians of Lower Suwannee National Wildlife Refuge, Dixie and Levy counties, Florida","docAbstract":"From 2002-2006, we used a variety of sampling techniques to survey the amphibians and\nwater chemistry of Lower Suwannee National Wildlife Refuge in Florida’s Big Bend region. We\nrecorded 23 amphibian species, 19 frogs and 4 salamanders. Species richness was lower than in other areas of the coastal Big Bend region to the north, perhaps due to a combination of proximity to the limits of species’ ranges, sampling techniques, times of year when sampling occurred, and variation in detection probabilities among years and regions. Amphibians occupied a wide variety of habitats and appeared tolerant of the generally acidic conditions of many of the wetlands. Small streams and the Suwannee River were less acidic and had greater conductivities and mineral concentrations than isolated ponds; concentrations of heavy metals varied and mercury was not detected. Although additional species may yet be found in LSNWR, this survey provides a historic baseline for assessing future status and trends of amphibian populations as areas adjacent to the refuge are disturbed and as restoration and multi-use management continue within its boundaries.","language":"English","publisher":"Florida Academy of Sciences","usgsCitation":"Dodd, C., Barichivich, W.J., Johnson, S.A., Gunzburger Aresco, M., and Staiger, J., 2018, Establishing a baseline: the amphibians of Lower Suwannee National Wildlife Refuge, Dixie and Levy counties, Florida: Florida Scientist, v. 80, no. 4, p. 133-144.","productDescription":"12 p.","startPage":"133","endPage":"144","ipdsId":"IP-083134","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Dixie County, Levy County","otherGeospatial":"Lower Suwannee National Wildlife Refuge","volume":"80","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d19d","contributors":{"authors":[{"text":"Dodd, C. Kenneth","contributorId":205896,"corporation":false,"usgs":false,"family":"Dodd","given":"C. Kenneth","affiliations":[{"id":37188,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":738836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":738835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Steve A.","contributorId":205912,"corporation":false,"usgs":false,"family":"Johnson","given":"Steve","email":"","middleInitial":"A.","affiliations":[{"id":37188,"text":"Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":738837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunzburger Aresco, Margaret","contributorId":205913,"corporation":false,"usgs":false,"family":"Gunzburger Aresco","given":"Margaret","email":"","affiliations":[{"id":37192,"text":"Northwest Florida State College, 100 College Blvd, Niceville, FL 32578 and Nokuse Plantation, 13292 County Highway 3280, Bruce, FL 32455","active":true,"usgs":false}],"preferred":false,"id":738838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staiger, Jennifer S.","contributorId":205914,"corporation":false,"usgs":false,"family":"Staiger","given":"Jennifer S.","affiliations":[],"preferred":false,"id":738839,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197938,"text":"70197938 - 2018 - Paleozoic shale gas resources in the Sichuan Basin, China","interactions":[],"lastModifiedDate":"2018-06-27T13:56:36","indexId":"70197938","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Paleozoic shale gas resources in the Sichuan Basin, China","docAbstract":"<p><span>The Sichuan Basin, China, is commonly considered to contain the world’s most abundant shale gas resources. Although its Paleozoic marine shales share many basic characteristics with successful United States gas shales, numerous geologic uncertainties exist, and Sichuan Basin shale gas production is nascent. Gas retention was likely compromised by the age of the shale reservoirs, multiple uplifts and orogenies, and migration pathways along unconformities. High thermal maturities raise questions about gas storage potential in lower Paleozoic shales. Given these uncertainties, a new look at Sichuan Basin shale gas resources is advantageous. As part of a systematic effort to quantitatively assess continuous oil and gas resources in priority basins worldwide, the US Geological Survey (USGS) completed an assessment of Paleozoic shale gas in the Sichuan Basin in 2015. Three organic-rich marine Paleozoic shale intervals meet the USGS geologic criteria for quantitative assessment of shale gas resources: the lower Cambrian Qiongzhusi Formation, the uppermost Ordovician Wufeng through lowermost Silurian Longmaxi Formations (currently producing shale gas), and the upper Permian Longtan and Dalong Formations. This study defined geologically based assessment units and calculated probabilistic distributions of technically recoverable shale gas resources using the USGS well productivity–based method. For six assessment units evaluated in 2015, the USGS estimated a mean value of 23.9 tcf (677 billion cubic meters) of undiscovered, technically recoverable shale gas. This result is considerably lower than volumes calculated in previous shale gas assessments of the Sichuan Basin, highlighting a need for caution in this geologically challenging setting.</span></p>","language":"English","publisher":"AAPG","doi":"10.1306/0828171607817072","usgsCitation":"Potter, C.J., 2018, Paleozoic shale gas resources in the Sichuan Basin, China: AAPG Bulletin, v. 102, no. 6, p. 987-1009, https://doi.org/10.1306/0828171607817072.","productDescription":"23 p.","startPage":"987","endPage":"1009","ipdsId":"IP-083924 ","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":355394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Sichuan Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              103,\n              28\n            ],\n            [\n              111,\n              28\n            ],\n            [\n              111,\n              33\n            ],\n            [\n              103,\n              33\n            ],\n            [\n              103,\n              28\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e576e4b060350a15d19b","contributors":{"authors":[{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":739248,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70197803,"text":"70197803 - 2018 - Ecological resilience indicators for mangrove ecosystems","interactions":[],"lastModifiedDate":"2018-06-21T10:21:36","indexId":"70197803","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Ecological resilience indicators for mangrove ecosystems","docAbstract":"Mangrove ecosystems are coastal wetland ecosystems dominated by mangrove species that are typically found in the intertidal zone, characterized by frequently flooded saline soil conditions. The majority of the approximately 500,000 acres of mangrove ecosystem in the United States occurs in the NGoM, and almost all of that is in Florida, with over 90 percent in the four southern counties of Lee, Collier, Miami-Dade, and Monroe. Scattered stands and individuals occur north and westward into Louisiana and Texas (Osland et al., 2016). The three common mangrove species are: black mangrove (Avicennia germinans), white mangrove (Laguncularia racemosa), and red mangrove (Rhizophora mangle). The mangrove system described in this project includes Tidal Mangrove Shrubland and Tidal Mangrove Forest as classified in CMECS (FGDC, 2012). It is classified as Caribbean Fringe Mangrove (G004) in the USNVC (2016), with a variety of distinct associations, based on species dominance and ecological setting.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological Resilience Indicators for Five Northern Gulf of Mexico Ecosystems","language":"English","publisher":"NatureServe","usgsCitation":"Day, R.H., Allen, S.T., Brenner, J., Goodin, K., Faber-Langendoen, D., and Ames, K.W., 2018, Ecological resilience indicators for mangrove ecosystems, chap. <i>of</i> Ecological Resilience Indicators for Five Northern Gulf of Mexico Ecosystems, p. 91-150.","productDescription":"60 p.","startPage":"91","endPage":"150","ipdsId":"IP-098049","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":355255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355216,"type":{"id":15,"text":"Index Page"},"url":"https://www.natureserve.org/"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e577e4b060350a15d1a1","contributors":{"authors":[{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":738580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Scott T.","contributorId":168409,"corporation":false,"usgs":false,"family":"Allen","given":"Scott","email":"","middleInitial":"T.","affiliations":[{"id":25282,"text":"School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":738581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenner, Jorge","contributorId":205829,"corporation":false,"usgs":false,"family":"Brenner","given":"Jorge","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":738582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodin, Kathleen","contributorId":200274,"corporation":false,"usgs":false,"family":"Goodin","given":"Kathleen","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":738583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faber-Langendoen, Don","contributorId":205830,"corporation":false,"usgs":false,"family":"Faber-Langendoen","given":"Don","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":738584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ames, Katherine Wirt","contributorId":205831,"corporation":false,"usgs":false,"family":"Ames","given":"Katherine","email":"","middleInitial":"Wirt","affiliations":[{"id":13088,"text":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute","active":true,"usgs":false}],"preferred":false,"id":738585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198017,"text":"70198017 - 2018 - Density and success of upland duck nests in native‐ and tame‐seeded conservation fields","interactions":[],"lastModifiedDate":"2018-07-06T13:01:34","indexId":"70198017","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Density and success of upland duck nests in native‐ and tame‐seeded conservation fields","docAbstract":"<p><span>The Conservation Reserve Program (CRP) generates substantial benefits to continental duck populations by providing grassland nesting habitat in rested cropland. Seeding mixes of CRP grasslands vary among numerous conservation practices, but one contrast of interest in the Prairie Pothole Region is the use of introduced, or “tame” versus native grass. Although the benefits of CRP to duck populations are well‐known, relative values of these planting practices to nesting ducks have received little attention. Understanding differences in benefits to ducks due to planting practices would aid in prioritizing and selecting management practices for CRP and other restoration activities. We evaluated nest survival and density of ducks nesting in tame‐ and native‐seeded CRP fields in 36 study areas in the Prairie Pothole Region of North Dakota and South Dakota, USA, during 2002–2003. We searched for duck nests in 209 fields totaling 5,386 ha and found 2,941 nests. We found no support for differences in nest survival for any upland‐nesting duck species between fields seeded to tame versus native grass based on a design and analyses that accounted for spatial and temporal variation. Additionally, nest densities, adjusted for nest survival rates, of all duck species were similar between tame‐seeded and native‐seeded fields. We conclude that benefits to nesting ducks from native‐grass seeding practices of CRP were similar to those of tame‐grass seeding practices. Although there may be other reasons to plant native seed mixes when establishing CRP tracts (e.g., native pollinators or insects, other wildlife species, etc.), our study suggests that duck nesting density and nest survival are not among those reasons.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.880","usgsCitation":"Sherfy, M.H., Anteau, M.J., Shaffer, T.L., Johnson, M.A., Reynolds, R.E., and Ringelman, J.K., 2018, Density and success of upland duck nests in native‐ and tame‐seeded conservation fields: Wildlife Society Bulletin, v. 42, no. 2, p. 204-212, https://doi.org/10.1002/wsb.880.","productDescription":"9 p.","startPage":"204","endPage":"212","ipdsId":"IP-082761","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499989,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/5274624e4d2846a6b54aa93a7bfaa948","text":"External 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,{"id":70197404,"text":"70197404 - 2018 - Sediment accretion and carbon storage in constructed wetlands receiving water treated with metal-based coagulants","interactions":[],"lastModifiedDate":"2018-06-01T09:14:45","indexId":"70197404","displayToPublicDate":"2018-06-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Sediment accretion and carbon storage in constructed wetlands receiving water treated with metal-based coagulants","docAbstract":"In many regions of the world, subsidence of organic rich soils threatens levee stability and freshwater supply, and continued oxidative loss of organic matter contributes to greenhouse gas production. To counter subsidence in the Sacramento-San Joaquin Delta of northern California, we examined the feasibility of using constructed wetlands receiving drainage water treated with metal-based coagulants to accrete mineral material along with wetland biomass, while also sequestering carbon in wetland sediment. Nine field-scale wetlands were constructed which received local drainage water that was either untreated (control), or treated with polyaluminum chloride (PAC) or iron sulfate (FeSO4) coagulants. After 23 months of flooding and coagulant treatment, sediment samples were collected near the inlet, middle, and outlet of each wetland to determine vertical accretion rates, bulk density, sediment composition, and carbon sequestration rates. Wetlands treated with PAC had the highest and most spatially consistent vertical accretion rates (~6 cm year-1), while the FeSO4 wetlands had similarly high accretion rates near the inlet but rates similar to the untreated wetland (~1.5 cm year-1) at the middle and outlet sites. The composition of the newly accreted sediment in the PAC and FeSO4 treatments was high in the added metal (aluminum and iron, respectively), but the percent metal by weight was similar to native soils of California. As has been observed in other constructed wetlands, the newly accreted sediment material had lower bulk densities than the native soil material (0.04-0.10 g cm-3 versus 0.2-0.3 g cm-3), suggesting these materials will consolidate over time. Finally, this technology accelerated carbon burial, with rates in PAC treated wetland (0.63 kg C m-2 yr-1) over 2-fold greater than the untreated control (0.28 kg C m-2 yr-1). This study demonstrates the feasibility of using constructed wetlands treated with coagulants to reverse subsidence by accreting the resulting organo-metal flocculent and storing carbon at rates exceeding untreated wetlands. Management and design questions remain for how to best integrate this technology into heavily subsided land to lower the risks and consequences associated with levee failure, improve water quality, and ultimately restore these lands to tidal wetlands.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.10.016","usgsCitation":"Stumpner, E.B., Kraus, T.E., Liang, Y., Bachand, S.M., Horwath, W.R., and Bachand, P., 2018, Sediment accretion and carbon storage in constructed wetlands receiving water treated with metal-based coagulants: Ecological Engineering, v. 111, p. 176-185, https://doi.org/10.1016/j.ecoleng.2017.10.016.","productDescription":"10 p.","startPage":"176","endPage":"185","ipdsId":"IP-087115","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":460909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2017.10.016","text":"Publisher Index Page"},{"id":354661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, Twitchell Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.11029052734374,\n              37.70120736474139\n            ],\n            [\n              -121.19018554687499,\n              37.70120736474139\n            ],\n            [\n              -121.19018554687499,\n              38.32011084501538\n            ],\n            [\n              -122.11029052734374,\n              38.32011084501538\n            ],\n            [\n              -122.11029052734374,\n              37.70120736474139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"111","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ade","contributors":{"authors":[{"text":"Stumpner, Elizabeth B. 0000-0003-2356-2244 estumpner@usgs.gov","orcid":"https://orcid.org/0000-0003-2356-2244","contributorId":181854,"corporation":false,"usgs":true,"family":"Stumpner","given":"Elizabeth","email":"estumpner@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":737024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liang, Yan","contributorId":205347,"corporation":false,"usgs":false,"family":"Liang","given":"Yan","email":"","affiliations":[{"id":37085,"text":"Bachand and Associates","active":true,"usgs":false}],"preferred":false,"id":737025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bachand, Sandra M.","contributorId":147304,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":737026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horwath, William R.","contributorId":147305,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":7246,"text":"University of California, Davis, CA, USA","active":true,"usgs":false}],"preferred":false,"id":737027,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Philip","contributorId":81013,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":737028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70198672,"text":"70198672 - 2018 - Whole-genome analysis of Mustela erminea finds that pulsed hybridization impacts evolution at high latitudes","interactions":[],"lastModifiedDate":"2018-08-15T13:45:20","indexId":"70198672","displayToPublicDate":"2018-05-31T13:45:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Whole-genome analysis of Mustela erminea finds that pulsed hybridization impacts evolution at high latitudes","docAbstract":"<p><span>At high latitudes, climatic shifts hypothetically initiate recurrent episodes of divergence by isolating populations in glacial refugia—ice-free regions that enable terrestrial species persistence. Upon glacial recession, populations subsequently expand and often come into contact with other independently diverging populations, resulting in gene flow. To understand how recurrent periods of isolation and contact may have impacted evolution at high latitudes, we investigated introgression dynamics in the stoat (</span><i>Mustela erminea</i><span>), a Holarctic mammalian carnivore, using whole-genome sequences. We identify two spatio-temporally distinct episodes of introgression coincident with large-scale climatic shifts: contemporary introgression in a mainland contact zone and ancient contact ~200 km south of the contemporary zone, in the archipelagos along North America’s North Pacific Coast. Repeated episodes of gene flow highlight the central role of cyclic climates in structuring high-latitude diversity, through refugial divergence and introgressive hybridization. When introgression is followed by allopatric isolation (e.g., insularization) it may ultimately expedite divergence.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-018-0058-y","usgsCitation":"Colella, J.P., Lan, T., Schuster, S.C., Talbot, S.L., Cook, J.A., and Lindqvist, C., 2018, Whole-genome analysis of Mustela erminea finds that pulsed hybridization impacts evolution at high latitudes: Communications Biology, v. 1, p. 1-10, https://doi.org/10.1038/s42003-018-0058-y.","productDescription":"Article number: 51; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-087006","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468714,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s42003-018-0058-y","text":"Publisher Index Page"},{"id":356515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b98a2bbe4b0702d0e842fcd","contributors":{"authors":[{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":742510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lan, Tianying","contributorId":207037,"corporation":false,"usgs":false,"family":"Lan","given":"Tianying","email":"","affiliations":[{"id":37434,"text":"Department of Biological Scineces, State University of New York at Buffalo","active":true,"usgs":false}],"preferred":false,"id":742511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, Stephen C.","contributorId":207039,"corporation":false,"usgs":false,"family":"Schuster","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":37435,"text":"Singapore Centre on Environmental Life Sciences Engineering","active":true,"usgs":false}],"preferred":false,"id":742513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":742509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":742514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lindqvist, Charlotte","contributorId":207038,"corporation":false,"usgs":false,"family":"Lindqvist","given":"Charlotte","email":"","affiliations":[{"id":37434,"text":"Department of Biological Scineces, State University of New York at Buffalo","active":true,"usgs":false}],"preferred":false,"id":742512,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196537,"text":"fs20183023 - 2018 - Assessment of undiscovered oil and gas resources in the Canning Basin Province, Australia, 2017","interactions":[],"lastModifiedDate":"2018-05-31T16:02:16","indexId":"fs20183023","displayToPublicDate":"2018-05-31T13:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3023","title":"Assessment of undiscovered oil and gas resources in the Canning Basin Province, Australia, 2017","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 1.3 billion barrels of oil and&nbsp;34.4&nbsp;trillion cubic feet of gas in the Canning Basin Province of Australia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183023","usgsCitation":"Schenk, C.J., Tennyson, M.E., Mercier, T.J., Woodall, C.A., Finn, T.M., Le, P.A., Brownfield, M.E., Gaswirth, S.B., Marra, K.R., and Leathers-Miller, H.M., 2018, Assessment of undiscovered oil and gas resources in the Canning Basin Province, Australia, 2017: U.S. Geological Survey Fact Sheet 2018–3023, 4 p., https://doi.org/10.3133/fs20183023. ","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-095000","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":354575,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3023/coverthb.jpg"},{"id":354576,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3023/fs20183023.pdf","text":"Report","size":"828 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3023"},{"id":354577,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173039","text":"Fact Sheet 2017–3039:","linkHelpText":"Assessment of Continuous Oil and Gas Resources in the Perth Basin Province, Australia, 2017"}],"country":"Australia","state":"Western Australia","county":"Canning Basin Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              115.26855468749999,\n              -26.902476886279807\n            ],\n            [\n              129.814453125,\n              -26.902476886279807\n            ],\n            [\n              129.814453125,\n              -12.811801316582619\n            ],\n            [\n              115.26855468749999,\n              -12.811801316582619\n            ],\n            [\n              115.26855468749999,\n              -26.902476886279807\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum Systems and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2018-05-31","noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b155d6fe4b092d9651e1ae4","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":733480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":149259,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","email":"tennyson@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":733481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":192064,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":733483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":149770,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","email":"ple@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":733485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733486,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaswirth, Stephanie B. 0000-0001-5821-6347 sgaswirth@usgs.gov","orcid":"https://orcid.org/0000-0001-5821-6347","contributorId":140068,"corporation":false,"usgs":true,"family":"Gaswirth","given":"Stephanie B.","email":"sgaswirth@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":733487,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":733488,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":149262,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":733489,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70197118,"text":"ofr20181075 - 2018 - A preliminary study of variation of Trapa in Japan","interactions":[],"lastModifiedDate":"2018-06-08T10:25:52","indexId":"ofr20181075","displayToPublicDate":"2018-05-31T09:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1075","displayTitle":"A preliminary study of variation of <i>Trapa</i> in Japan    ","title":"A preliminary study of variation of Trapa in Japan","docAbstract":"<p><br></p><h1>Summary</h1><p>Frequent occurrence of intermediate forms and poor knowledge on the variability of characters have caused some difficulties in the taxonomy of <i>Trapa</i> in Japan. Thus I made a preliminary analysis on the variation of nuts collected from 21 populations in Southwestern Japan. Attention was paid to some morphometrical characters of the nut and development of lower spines or “pseudohorns.” Each population usually contained different forms of nuts. Among them, however, several entities could be recognized based on the shape of nut as follows. 1) Two-spined form: This included nuts of middle size (width 30–50 mm) and ones of big size (width over 45 mm). In case of the former ones, the nuts with pseudohorns of varying degree of development usually occurred together within one population and even on a single plant. I propose to treat them as one taxon, <i>Trapa japonica</i>, sensu OHWI (1965), without inventing varieties. But at the same time, it was remarkable that the tendency of development of pseudohorns was apparently different from population to population. The bigger ones included two types, that is, one without pseudohorns and the other with pseudohorns. The former one may be identified as <i>T. bispinosa</i> ROXB., but the latter one has not been described in literature. 2) Four-spined form: The nuts of small size (width of about 20 mm) were well definable and thought to be <i>T. incisa</i> SIEB. et ZUCC. The nuts of bigger size showed some variations with respect to their size and/or stoutness of lower spines. The big ones (width over 45 mm) may be treated as one taxon, <i>T. natans</i> or its variety. The nuts of middle size have been named <i>T. natans</i> var. <i>pumila</i> NAKANO. But so far as present materials were concerned, its entity seemed dubious. They might be immature nuts of bigger ones. The different patterns of variation among populations were ascribed to genetic differentiation. Predominance of self-pollination and isolation of habitats were thought to promote genetic isolation and preservation of genetic variations which occurred in each population. But the possibility of hybridization cannot be excluded.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181075","usgsCitation":"Kadono, Yasuro, 2018, A preliminary study of variation of <i>Trapa</i> in Japan (translated into English from the Japanese by V. Chintu Lai): U.S. Geological Survey Open-File Report 2018–1075, 16 p., https://doi.org/10.3133/ofr20181075. [The translation was edited by Nancy B. Rybicki. The article was originally published in Japanese with English summary as Kadono, Y., 1987, A preliminary study of variation of <i>Trapa</i> in Japan: Acta Phytotaxonomica et Geobotanica, v. 38 (September), p. 199–210, https://doi.org/10.18942/bunruichiri.KJ00002992255.]","productDescription":"14 p.","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-086527","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":354294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1075/coverthb.jpg"},{"id":354295,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1075/ofr20181075.pdf","text":"Report","size":"769 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1075","linkHelpText":"- Open File Report of the Japanese language paper by Y. Kadono, and translated by Vince Lai that describes Trapa (water chestnut)."}],"country":"Japan","publicComments":"Open File Report of the Japanese language paper by Y. Kadono, and translated by Vince Lai that describes Trapa (water chestnut).","contact":"<p>Director, Earth System Processes Division<br> U.S. Geological Survey<br>411 National Center<br>12201 Sunrise Valley Drive<br> Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-05-31","noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b155d70e4b092d9651e1ae6","contributors":{"editors":[{"text":"Rybicki, Nancy B. 0000-0002-2205-7927 nrybicki@usgs.gov","orcid":"https://orcid.org/0000-0002-2205-7927","contributorId":2142,"corporation":false,"usgs":true,"family":"Rybicki","given":"Nancy","email":"nrybicki@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":735711,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lai, Vincent 0000-0003-2510-3172","orcid":"https://orcid.org/0000-0003-2510-3172","contributorId":204999,"corporation":false,"usgs":true,"family":"Lai","given":"Vincent","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":735712,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kadono, Yasuro","contributorId":204998,"corporation":false,"usgs":false,"family":"Kadono","given":"Yasuro","email":"","affiliations":[{"id":37018,"text":"University of Kobe, Japan","active":true,"usgs":false}],"preferred":false,"id":735710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195691,"text":"ofr20181031 - 2018 - Assessment of capacity-building activities for forest measurement, reporting, and verification, 2011–15 ","interactions":[],"lastModifiedDate":"2018-05-31T09:44:13","indexId":"ofr20181031","displayToPublicDate":"2018-05-31T09:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1031","title":"Assessment of capacity-building activities for forest measurement, reporting, and verification, 2011–15 ","docAbstract":"<p>This report was written as a collaborative effort between the U.S. Geological Survey, SilvaCarbon, and Wageningen University with funding provided by the U.S. Agency for International Development and the European Space Agency, respectively, to address a pressing need for enhanced result-based monitoring and evaluation of delivered capacity-building activities. For this report, the capacity-building activities delivered by capacity-building providers (referred to as “providers” hereafter) during 2011–15 (the study period) to support countries in building measurement, reporting, and verification (MRV) systems for reducing emissions from deforestation and forest degradation (REDD+) were assessed and evaluated.</p><p>Summarizing capacity-building activities and outcomes across multiple providers was challenging. Many of the providers did not have information readily available, which precluded them from participating in this study despite the usefulness of their information. This issue led to a key proposed future action: Capacity-building providers could establish a central repository within the Global Forestry Observation Initiative (GFOI; <a href=\"http://www.gfoi.org/\" data-mce-href=\"http://www.gfoi.org/\">http://www.gfoi.org/</a>) where data from past, current, and future activities of all capacity-building providers could be stored. The repository could be maintained in a manner to continually learn from previous lessons.</p><p>Although various providers monitored and evaluated the success of their capacity-building activities, such evaluations only assessed the success of immediate outcomes and not the overarching outcomes and impacts of activities implemented by multiple providers. Good monitoring and evaluation should continuously monitor and periodically evaluate all factors affecting the outcomes of a provided capacity-building activity.</p><p>The absence of a methodology to produce quantitative evidence of a causal link between multiple capacity-building activities delivered and successful outcomes left only a plausible association. A previous publication argued that plausible association, although not a precise measurement of cause and effect, was a realistic tool. Our review of the available literature on this subject did not find another similar assessment to assess capacity-building activities for supporting the countries in building MRV system for REDD+.</p><p>Four countries from the main forested regions of Africa, the Americas, and Asia were chosen as subjects for this report based on the length of time SilvaCarbon and other providers have provided capacity-building activities toward MRV system for REDD+: Colombia (the Americas), the Democratic Republic of the Congo (DRC; Africa), Peru (the Americas), and the Republic of the Philippines (referred to as “the Philippines” hereafter; Asia).</p><p>Several providers were contacted for information to include in this report, but, because of various constraints, only SilvaCarbon, the Food and Agriculture Organization of the United Nations (FAO), and the World Wildlife Fund (WWF) participated in this study. These three providers supported various targeted capacity-building activities through-out Africa, the Americas, and Asia, including the following: technical workshops at national and regional levels (referred to as “workshops” hereafter), hands on training, study tours, technical details by experts, technical consultation between providers and recipients, sponsorship for travel, organizing network meetings, developing sampling protocols, assessing deforestation and degradation drivers, estimating carbon stock and flow, designing monitoring systems for multiple uses, promoting public-private partnerships to scale up investments on MRV system for REDD+, and assisting with the design of national forest monitoring systems.</p><p>Their activities were planned in coordination with key partners in each country and region and with the support and assistance of other providers. Note that several other organizations and institutions assisted the providers to deliver capacity-building activities, including Boston University, Conservation International, Stanford University, University of Maryland, and Wageningen University &amp; Research.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181031","collaboration":"Prepared in cooperation with Wageningen University, the U.S. Agency for International Development, the U.S. Department of State, and the European Space Agency ","usgsCitation":"Peneva-Reed, E.I., and Romijn, J.E, 2018, Assessment of capacity-building activities for forest measurement, reporting, and verification, 2011–15: U.S. Geological Survey Open-File Report 2018–1031, 35 p., https://doi.org/10.3133/ofr20181031. ","productDescription":"v, 35 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-088895","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":354567,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1031/ofr20181031.pdf","text":"Report","size":"1.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1031"},{"id":354566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1031/coverthb.jpg"}],"contact":"<p>Director, U.S. Geological Survey<br>12201 Sunrise Valley Drive<br> Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Datasets</li><li>Methods</li><li>Findings and Discussion</li><li>Conclusions and Future Actions</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-05-31","noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b155d70e4b092d9651e1ae8","contributors":{"authors":[{"text":"Peneva-Reed, Elitsa I. 0000-0002-4570-4701","orcid":"https://orcid.org/0000-0002-4570-4701","contributorId":202809,"corporation":false,"usgs":true,"family":"Peneva-Reed","given":"Elitsa","email":"","middleInitial":"I.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":729711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romijn, J. Erika","contributorId":202810,"corporation":false,"usgs":false,"family":"Romijn","given":"J.","email":"","middleInitial":"Erika","affiliations":[{"id":36528,"text":"Wageningen University & Research","active":true,"usgs":false}],"preferred":false,"id":729712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70197368,"text":"70197368 - 2018 - Rapid discovery of SNPs differentiating hatchery steelhead trout from ESA-listed natural-origin steelhead trout using a 57K SNP array","interactions":[],"lastModifiedDate":"2018-07-03T11:12:29","indexId":"70197368","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid discovery of SNPs differentiating hatchery steelhead trout from ESA-listed natural-origin steelhead trout using a 57K SNP array","docAbstract":"<p><span>Natural-origin steelhead trout (</span><i>Oncorhynchus mykiss</i><span><span>&nbsp;</span>(Walbaum, 1792)) in the Pacific Northwest, USA, are threatened by a number of factors including habitat destruction, disease, decline in marine survival, and a potential erosion of genetic viability due to introgression from hatchery strains. Our major goal was to use a recently developed SNP array containing ∼57 000 SNPs to identify a subset of SNPs that differentiate hatchery and natural-origin populations. We analyzed 35 765 polymorphic SNPs in nine populations of steelhead trout sampled from Puget Sound, Washington, USA. We then conducted two outlier tests and found 360 loci that were candidates for divergent selection between hatchery and natural-origin populations (mean<span>&nbsp;</span></span><i>F</i><sub>CT</sub><span><span>&nbsp;</span>= 0.29, maximum = 0.65) and 595 SNPs that were candidates for selection among natural-origin populations (mean<span>&nbsp;</span></span><i>F</i><sub>ST</sub><span><span>&nbsp;</span>= 0.25, maximum = 0.51). Comparisons with a linkage map revealed that two chromosomes (Omy05 and Omy25) contained significantly more outliers than other chromosomes, suggesting that regions on Omy05 and Omy25 may be of adaptive significance. Our results highlight several advantages of the 57 000 SNP array as a tool for population and conservation genomics studies.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2017-0116","usgsCitation":"Larson, W., Palti, Y., Gao, G., Warheit, K.I., and Seeb, J.E., 2018, Rapid discovery of SNPs differentiating hatchery steelhead trout from ESA-listed natural-origin steelhead trout using a 57K SNP array: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 7, p. 1160-1168, https://doi.org/10.1139/cjfas-2017-0116.","productDescription":"9 p.","startPage":"1160","endPage":"1168","ipdsId":"IP-085849","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468718,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2017-0116","text":"External Repository"},{"id":354647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125,\n              46\n            ],\n            [\n              -118,\n              46\n            ],\n            [\n              -118,\n              50\n            ],\n            [\n              -125,\n              50\n            ],\n            [\n              -125,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155df2e4b092d9651e1b8e","contributors":{"authors":[{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":736884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palti, Yniv","contributorId":46856,"corporation":false,"usgs":true,"family":"Palti","given":"Yniv","email":"","affiliations":[],"preferred":false,"id":737000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Gunagtu","contributorId":206124,"corporation":false,"usgs":false,"family":"Gao","given":"Gunagtu","email":"","affiliations":[],"preferred":false,"id":737001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warheit, Kenneth I.","contributorId":202110,"corporation":false,"usgs":false,"family":"Warheit","given":"Kenneth","email":"","middleInitial":"I.","affiliations":[{"id":36349,"text":"Washington Department of Fish and Wildlife, Fish Program, 600 Capitol Way N., Olympia, WA 98501","active":true,"usgs":false}],"preferred":false,"id":737002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seeb, James E.","contributorId":87003,"corporation":false,"usgs":true,"family":"Seeb","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":737003,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197378,"text":"70197378 - 2018 - Exposure-related effects of Zequanox on juvenile lake sturgeon (Acipenser fulvescens) and lake trout (Salvelinus namaycush)","interactions":[],"lastModifiedDate":"2018-05-31T14:55:13","indexId":"70197378","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Exposure-related effects of Zequanox on juvenile lake sturgeon (<i>Acipenser fulvescens</i>) and lake trout (<i>Salvelinus namaycush</i>)","title":"Exposure-related effects of Zequanox on juvenile lake sturgeon (Acipenser fulvescens) and lake trout (Salvelinus namaycush)","docAbstract":"<p><span>The environmental fate, persistence, and non-target animal impacts of traditional molluscicides for zebra,&nbsp;</span><i>Dreissena polymorpha</i><span>, and quagga,<span>&nbsp;</span></span><i>D. bugensis</i><span>, mussel control led to the development of the biomolluscicide Zequanox. Although previous research has demonstrated the specificity of Zequanox, one study indicated sensitivity of salmonids and lake sturgeon,<span>&nbsp;</span></span><i>Acipenser fulvescens</i><span>, following non-label compliant exposures to Zequanox. This study was conducted to evaluate sublethal and lethal impacts of Zequanox exposure on juvenile lake sturgeon and lake trout,<span>&nbsp;</span></span><i>Salvelinus namaycush</i><span>, following applications that were conducted in a manner consistent with the Zequanox product label. Fish were exposed to 50 or 100 mg/L of Zequanox as active ingredient for 8 h and then held for 33 d to evaluate latent impacts. No acute mortality was observed in either species; however, significant latent mortality (P &lt; 0.01, df = 9; 46.2%) was observed in lake trout that were exposed to the highest dose of Zequanox. Statistically significant (P &lt; 0.03, df = 9), but biologically minimal differences were observed in the weight (range 20.17 to 21.49 g) of surviving lake sturgeon at the termination of the 33 d post-exposure observation period. Statistically significant (P &lt; 0.05, df = 9) and biologically considerable differences were observed in the weight (range 6.19 to 9.55 g) of surviving lake trout at the termination of the 33 d post-exposure observation period. Histologic evaluation of lake trout gastrointestinal tracts suggests that the mode of action in lake trout is different from the mode of action that induces zebra and quagga mussel mortality. Further research could determine the sensitivity of other salmonid species to Zequanox and determine if native fish will avoid Zequanox treated water.</span></p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2018.9.2.09","collaboration":".","usgsCitation":"Luoma, J.A., Severson, T.J., Wise, J.K., and Barbour, M., 2018, Exposure-related effects of Zequanox on juvenile lake sturgeon (Acipenser fulvescens) and lake trout (Salvelinus namaycush): Management of Biological Invasions, v. 9, no. 2, p. 163-175, https://doi.org/10.3391/mbi.2018.9.2.09.","productDescription":"13 p.","startPage":"163","endPage":"175","ipdsId":"IP-090152","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2018.9.2.09","text":"Publisher Index Page"},{"id":437888,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q23ZGT","text":"USGS data release","linkHelpText":"Exposure-related effects of Zequanox on juvenile lake sturgeon (Acipenser fulvescens) and lake trout (Salvelinus namaycush) Data"},{"id":354644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d71e4b092d9651e1af2","contributors":{"authors":[{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barbour, Matthew T. 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197365,"text":"sir20185064 - 2018 - Conceptual framework and trend analysis of water-level responses to hydrologic stresses, Pahute Mesa–Oasis Valley groundwater basin, Nevada, 1966-2016","interactions":[],"lastModifiedDate":"2018-06-06T14:16:17","indexId":"sir20185064","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5064","title":"Conceptual framework and trend analysis of water-level responses to hydrologic stresses, Pahute Mesa–Oasis Valley groundwater basin, Nevada, 1966-2016","docAbstract":"<p>This report identifies water-level trends in wells and provides a conceptual framework that explains the hydrologic stresses and factors causing the trends in the Pahute Mesa–Oasis Valley (PMOV) groundwater basin, southern Nevada. Water levels in 79 wells were analyzed for trends between 1966 and 2016. The magnitude and duration of water-level responses to hydrologic stresses were analyzed graphically, statistically, and with water-level models.</p><p>The conceptual framework consists of multiple stress-specific conceptual models to explain water-level responses to the following hydrologic stresses: recharge, evapotranspiration, pumping, nuclear testing, and wellbore equilibration. Dominant hydrologic stresses affecting water-level trends in each well were used to categorize trends as nonstatic, transient, or steady state.</p><p>The conceptual framework of water-level responses to hydrologic stresses and trend analyses provide a comprehensive understanding of the PMOV basin and vicinity. The trend analysis links water-level fluctuations in wells to hydrologic stresses and potential factors causing the trends. Transient and steady-state trend categorizations can be used to determine the appropriate water-level data for groundwater studies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185064","collaboration":"Prepared in cooperation with the Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management under Interagency Agreement, DE-NA0001654","usgsCitation":"Jackson, T.R., and Fenelon, J.M., 2018, Conceptual framework and trend analysis of water-level responses to hydrologic stresses, Pahute Mesa–Oasis Valley groundwater basin, Nevada, 1966-2016: U.S. Geological Survey Scientific Investigations Report 2018-5064, 89 p., https://doi.org/10.3133/sir20185064.","productDescription":"ix, 89 p.","numberOfPages":"104","onlineOnly":"Y","ipdsId":"IP-086316","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":354612,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77942XB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Supplemental data for conceptual framework and trend analysis of water-level responses to hydrologic stresses, Pahute Mesa–Oasis Valley Groundwater Basin, Nevada, 1966-2016"},{"id":354610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5064/coverthb.jpg"},{"id":354611,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5064/sir20185064.pdf","text":"Report","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5064"}],"country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa–Oasis Valley Groundwater Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117,\n              36\n            ],\n            [\n              -115,\n              36\n            ],\n            [\n              -115,\n              38\n            ],\n            [\n              -117,\n              38\n            ],\n            [\n              -117,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nv@usgs.gov\" data-mce-href=\"mailto:dc_nv@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/nv-water\" target=\"blank\" data-mce-href=\"https://www.usgs.gov/centers/nv-water\">Nevada Water Science Center</a><br> U.S. Geological Survey<br> 2730 N. Deer Run Rd.<br> Carson City, Nevada 89701</p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Methods<br></li><li>Conceptual Framework of Water-Level Responses to Hydrologic Stresses<br></li><li>Trend Analysis of Groundwater Levels<br></li><li>Steady-State Trends<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Appendix 1. Supplemental Notes for Selected Wells<br></li></ul>","publishedDate":"2018-05-31","noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b155d72e4b092d9651e1afa","contributors":{"authors":[{"text":"Jackson, Tracie R. 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":150591,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","middleInitial":"R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":736880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenelon, Joseph M. 0000-0003-4449-245X jfenelon@usgs.gov","orcid":"https://orcid.org/0000-0003-4449-245X","contributorId":2355,"corporation":false,"usgs":true,"family":"Fenelon","given":"Joseph","email":"jfenelon@usgs.gov","middleInitial":"M.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":736881,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198049,"text":"70198049 - 2018 - Neotectonics of the Big Sur Bend, San Gregorio‐Hosgri fault system, central California","interactions":[],"lastModifiedDate":"2018-08-31T10:51:25","indexId":"70198049","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Neotectonics of the Big Sur Bend, San Gregorio‐Hosgri fault system, central California","docAbstract":"<p>The right‐lateral San Gregorio‐Hosgri fault system (SGHF) extends mainly offshore for about 400&nbsp;km along the central California coast and is a major structure in the distributed transform margin of western North America. We mapped a poorly known 64‐km‐long section of the SGHF offshore Big Sur between Piedras Blancas and Point Sur using high‐resolution bathymetry, seismic reflection, and marine magnetic data. In this region, the SGHF is characterized by multiple strands, step overs, scarps and lineaments, shutter ridges, deflected drainages, and other geomorphic features consistent with strike‐slip faulting. Analysis of offset shelfbreak gullies suggest a lateral slip rate of about 3.35&nbsp;mm/year. Vertical slip rates range as high as 0.8 to 1.2&nbsp;mm/year. Lateral slip combined with high vertical slip rates result in a northwest decrease in shelf width, a northward increase in shelf and upper slope gradient, and progressive incision of submarine canyon heads. The SGHF between Point Sur and Piedras Blancas trends ~321° and forms a 105‐km‐long transpressive bend (the <i>Big Sur Bend</i>) between more north trending transtensional fault sections to the south (120&nbsp;km long, ~336° trend) and north (180&nbsp;km long, ~337° trend). This transpressional bend and SGHF splay faults have had a significant role in shaping the modern geomorphology of the central California coast, controlling or influencing the locations of mountainous uplifts, large coastal headlands, embayments, and rivers. </p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2017TC004724","usgsCitation":"Johnson, S.Y., Watt, J., Hartwell, S., and Kluesner, J.W., 2018, Neotectonics of the Big Sur Bend, San Gregorio‐Hosgri fault system, central California: Tectonics, v. 37, no. 7, p. 1930-1954, https://doi.org/10.1029/2017TC004724.","productDescription":"25 p.","startPage":"1930","endPage":"1954","ipdsId":"IP-088681","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017tc004724","text":"Publisher Index Page"},{"id":355620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Gregorio‐Hosgri fault","volume":"37","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-10","publicationStatus":"PW","scienceBaseUri":"5b46e578e4b060350a15d1b1","contributors":{"authors":[{"text":"Johnson, Samuel Y. 0000-0001-7972-9977 sjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-7972-9977","contributorId":2607,"corporation":false,"usgs":true,"family":"Johnson","given":"Samuel","email":"sjohnson@usgs.gov","middleInitial":"Y.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739771,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartwell, Stephen 0000-0002-3522-7526 shartwell@usgs.gov","orcid":"https://orcid.org/0000-0002-3522-7526","contributorId":146221,"corporation":false,"usgs":true,"family":"Hartwell","given":"Stephen","email":"shartwell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":739773,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70197303,"text":"ofr20181090 - 2018 - Evaluation of social attraction measures to establish Forster’s tern (Sterna forsteri) nesting colonies for the South Bay Salt Pond Restoration Project, San Francisco Bay, California—2017 Annual Report","interactions":[],"lastModifiedDate":"2018-06-01T08:38:40","indexId":"ofr20181090","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-1090","displayTitle":"Evaluation of social attraction measures to establish Forster’s tern (<i>Sterna forsteri</i>) nesting colonies for the South Bay Salt Pond Restoration Project, San Francisco Bay, California—2017 Annual Report","title":"Evaluation of social attraction measures to establish Forster’s tern (Sterna forsteri) nesting colonies for the South Bay Salt Pond Restoration Project, San Francisco Bay, California—2017 Annual Report","docAbstract":"<p>Forster’s terns (<i>Sterna forsteri</i>), historically one of the most numerous colonial-breeding waterbirds in South San Francisco Bay, California, have had recent decreases in the number of nesting colonies and overall breeding population size. The South Bay Salt Pond (SBSP) Restoration Project aims to restore 50–90 percent of former salt evaporation ponds to tidal marsh habitat in South San Francisco Bay. This restoration will remove much of the historical island nesting habitat used by Forster’s terns, American avocets (<i>Recurvirostra americana</i>), and other waterbirds. To address this issue, the SBSP Restoration Project organized the construction of new nesting islands in managed ponds that will not be restored to tidal marsh, thereby providing enduring island nesting habitat for waterbirds. In 2012, 16 new islands were constructed in Pond A16 in the Alviso complex of the Don Edwards San Francisco Bay National Wildlife Refuge, increasing the number of islands in this pond from 4 to 20. However, despite a history of nesting on the four historical islands in Pond A16 before 2012, no Forster’s terns have nested in Pond A16 since the new islands were constructed.</p><p>In 2017, we used social attraction measures (decoys and electronic call systems) to attract Forster’s terns to islands within Pond A16 to re-establish nesting colonies. We maintained these systems from March through August 2017. To evaluate the effect of these social attraction measures, we also completed waterbird surveys between April and August, where we recorded the number and location of all Forster’s terns and other waterbirds using Pond A16, and monitored waterbird nests. We compared bird survey and nest monitoring data collected in 2017 to data collected in 2015 and 2016, prior to the implementation of social attraction measures, allowing for direct evaluation of social attraction efforts on Forster’s terns.</p><p>To increase the visibility and stakeholder involvement of this project, we engaged in multiple outreach activities, including the development of a project web site (<a href=\"https://apps.usgs.gov/shorebirds/\" target=\"blank\" data-mce-href=\"https://apps.usgs.gov/shorebirds/\">https://apps.usgs.gov/shorebirds/</a>) and educational video (<a href=\"https://www.youtube.com/watch?v=-IaZD0YlAvM&amp;feature=youtu.be\" target=\"blank\" data-mce-href=\"https://www.youtube.com/watch?v=-IaZD0YlAvM&amp;feature=youtu.be\">https://www.youtube.com/watch?v=-IaZD0YlAvM&amp;feature=youtu.be</a>); publication of a popular article (<a href=\"http://www.sfestuary.org/estuary-news-caspian-push-and-pull/\" target=\"blank\" data-mce-href=\"http://www.sfestuary.org/estuary-news-caspian-push-and-pull/\">http://www.sfestuary.org/estuary-news-caspian-push-and-pull/</a>); and public presentations to relay findings to managers, stakeholders, and the general public.</p><p>The relative number of Forster’s terns using Pond A16, after adjusting for the overall South San Francisco Bay breeding population each year, was higher during the nesting period in 2017 (after social attraction was used) than in 2015 and 2016 (before social attraction was used). Furthermore, in 2017, more Forster’s terns were observed in the areas of Pond A16 where decoys and call systems were deployed during the pre-nesting and nesting periods. Although no Forster’s tern nests were recorded in Pond A16 before (2015, 2016) or after (2017) implementation of social attraction measures, bird survey results indicate that Forster’s terns were attracted to areas within Pond A16 where decoys and call systems were deployed, suggesting that terns may have been prospecting for future breeding sites. As social attraction efforts often benefit from multiple years of decoy and call system deployment, these first-year results suggest that continued implementation of social attraction measures could help to re-establish Forster’s tern breeding colonies in Pond A16 and other areas of South San Francisco Bay.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181090","collaboration":"Prepared in cooperation with the San Francisco Bay Bird Observatory","usgsCitation":"Hartman, C.A., Ackerman, J.T., Herzog, M.P., Wang, Y., and Strong, C., 2018, Evaluation of social attraction measures to establish Forster’s tern (<em>Sterna forsteri</em>) nesting colonies for the South Bay Salt Pond Restoration Project, San Francisco Bay, California—2017 annual report: U.S. Geological Survey Open-File Report 2018–1090, 25 p., https://doi.org/10.3133/ofr20181090.","productDescription":"iv, 25 p.","numberOfPages":"33","onlineOnly":"Y","ipdsId":"IP-096847","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":354652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1090/coverthb2.jpg"},{"id":354653,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1090/ofr20181090.pdf","text":"Report","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1090"}],"country":"United States","state":"California","otherGeospatial":"Don Edwards San Francisco Bay National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.15492248535156,\n              37.38379840307495\n            ],\n            [\n              -121.89674377441405,\n              37.38379840307495\n            ],\n            [\n              -121.89674377441405,\n              37.555465068186955\n            ],\n            [\n              -122.15492248535156,\n              37.555465068186955\n            ],\n            [\n              -122.15492248535156,\n              37.38379840307495\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://wfrc.usgs.gov\" target=\"blank\" data-mce-href=\"http://wfrc.usgs.gov\">Western Ecological Research Center</a><br> U.S. Geological Survey<br> 3020 State University Drive East<br> Sacramento, California 95819</p>","tableOfContents":"<ul><li>Executive Summary<br></li><li>Introduction<br></li><li>Methods<br></li><li>Results and Discussion<br></li><li>Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2018-05-31","noUsgsAuthors":false,"publicationDate":"2018-05-31","publicationStatus":"PW","scienceBaseUri":"5b155d73e4b092d9651e1b00","contributors":{"authors":[{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131109,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":736596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":736597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131110,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":736598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yiwei","contributorId":203687,"corporation":false,"usgs":false,"family":"Wang","given":"Yiwei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":736599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strong, Cheryl","contributorId":149428,"corporation":false,"usgs":false,"family":"Strong","given":"Cheryl","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":736600,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197364,"text":"70197364 - 2018 - Ecohydrological implications of aeolian sediment trapping by sparse vegetation in drylands","interactions":[],"lastModifiedDate":"2018-10-12T16:07:25","indexId":"70197364","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrological implications of aeolian sediment trapping by sparse vegetation in drylands","docAbstract":"<p><span>Aeolian processes are important drivers of ecosystem dynamics in drylands, and important feedbacks exist among aeolian—hydrological processes and vegetation. The trapping of wind‐borne sediments by vegetation canopies may result in changes in soil properties beneath the vegetation, which, in turn, can alter hydrological and biogeochemical processes. Despite the relevance of aeolian transport to ecosystem dynamics, the interactions between aeolian transport and vegetation in shaping dryland landscapes where sediment distribution is altered by relatively rapid changes in vegetation composition such as shrub encroachment, are not well understood. Here, we used a computational fluid dynamics modelling framework to investigate the sediment trapping efficiencies of vegetation canopies commonly found in a shrub‐grass ecotone in the Chihuahuan Desert (New Mexico, USA) and related the results to spatial heterogeneity in soil texture and infiltration measured in the field. The vegetation structures were created using a computer‐aided design software, with inherent canopy porosities, which were derived using Light Detection and Ranging (LiDAR) measurements of plant canopies. Results show that considerable heterogeneity in infiltration and soil grain size distribution exist between the microsites, with higher infiltration and coarser soil texture under shrubs. Numerical simulations further indicate that the differential trapping of canopies might contribute to the observed heterogeneity in soil texture. In the early stages of encroachment, the shrub canopies, by trapping coarser particles more efficiently, might maintain higher infiltration rates leading to faster development of the microsites with enhanced ecological productivity, which might provide positive feedbacks to shrub encroachment.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.1986","usgsCitation":"Gonzales, H.B., Ravi, S., Li, J., and Sankey, J.B., 2018, Ecohydrological implications of aeolian sediment trapping by sparse vegetation in drylands: Ecohydrology, v. 11, no. 7, p. 1-11, https://doi.org/10.1002/eco.1986.","productDescription":"e1986; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-093901","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":354650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-30","publicationStatus":"PW","scienceBaseUri":"5b155d73e4b092d9651e1afc","contributors":{"authors":[{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Junran","contributorId":202740,"corporation":false,"usgs":false,"family":"Li","given":"Junran","email":"","affiliations":[{"id":36521,"text":"Department of Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":736879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":736876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}