{"pageNumber":"759","pageRowStart":"18950","pageSize":"25","recordCount":165459,"records":[{"id":70203685,"text":"70203685 - 2019 - Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?","interactions":[],"lastModifiedDate":"2019-06-05T15:22:28","indexId":"70203685","displayToPublicDate":"2018-11-17T15:21:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?","docAbstract":"Temporary wetlands have value to both ecological and social systems. Interactions between local climate and the surrounding landscape result in patterns of hydrology that are unique to temporary wetlands. These seasonal and annual fluctuations in wetland inundation contribute to community composition and richness. Thus, predicting wetland community responses to environmental change is tied to the ability to predict wetland hydroregime. Detailed monitoring of wetland hydroregime is resource-intensive, limiting the scope and scale of forecasting. As an alternative, we determine which freely available measures of water availability best predict one component of wetland hydroregime, habitat suitability (i.e., the predictability of water in a wetland) within and among geographic regions. We used data from three North American regions to determine the climate index that best explained year-to-year variation in habitat suitability during a key phenological period—amphibian breeding. We demonstrate that simple, short-term climate indices based solely on precipitation data best predict habitat suitability in vernal pools in the northeast, montane wetlands in the west and coastal plain wetlands in the southeast. These relationships can help understand how changes in short-term precipitation patterns as a result of climate change may influence the overall hydroregime, and resulting biodiversity, of temporary wetlands across disparate biomes.","language":"English","publisher":"Springer","doi":"10.1007/s11273-018-9639-2","usgsCitation":"C, D., D, M., Campbell Grant, E.H., Halstead, B., Kleeman, P.M., Walls, S., and Barichivich, W., 2019, Linking variability in climate to wetland habitat suitability: Is it possible to forecast regional responses from simple climate measures?: Wetlands Ecology and Management, v. 27, no. 1, p. 39-53, https://doi.org/10.1007/s11273-018-9639-2.","productDescription":"15 p.","startPage":"39","endPage":"53","ipdsId":"IP-096066","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364303,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s11273-018-9639-2"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"C, Davis","contributorId":215984,"corporation":false,"usgs":false,"family":"C","given":"Davis","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":763599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D, Miller","contributorId":215985,"corporation":false,"usgs":false,"family":"D","given":"Miller","email":"","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":763600,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":763602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":215987,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763604,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70198550,"text":"70198550 - 2019 - Evidence for widespread microbivory of endophytic bacteria in roots of vascularplants through oxidative degradation in root cell periplasmic spaces","interactions":[],"lastModifiedDate":"2018-11-16T13:17:38","indexId":"70198550","displayToPublicDate":"2018-11-16T13:17:31","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evidence for widespread microbivory of endophytic bacteria in roots of vascularplants through oxidative degradation in root cell periplasmic spaces","docAbstract":"<p><span>In this chapter we present a hypothesis, and data supporting it, that vascular plants in diverse families possess symbiotic/endophytic bacteria that frequently vector on or within their seeds; seedlings degrade symbiotic bacteria within roots. Evidence of widespread microbivory was found in a survey for intracellular bacteria that we conducted including seedlings in 36 species of vascular plants distributed in 20 plant families. Experiments indicate that when seeds germinate, bacteria colonize seedlings and internalize into root cells where they are oxidatively-degraded in the periplasmic spaces of cells. The process of degradation of microbes in roots has been termed “rhizophagy”, and “rhizophagy cycle” or “rhizophagy symbiosis” in the case of symbiotic bacteria that alternate between a free-living soil phase and intracellular/endophytic phase. We hypothesize that microbivory could account for a significant portion of nutrients acquired by plants from soils—with one estimate suggesting that as much as 30% of the nutrients acquired by seedlings may stem from rhizophagy symbiosis. Developing a better understanding of rhizophagy symbiosis could lead to new ways to cultivate crops without reliance on excessive agrochemical applications. Learning how to manipulate rhizophagy symbiosis could result in new technologies for reducing growth of weedy or invasive plant species by inhibiting rhizophagy symbiosis.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"PGPR amelioration in sustainable agriculture food security and environmental management","language":"English","publisher":"Woodhead Publishing","doi":"10.1016/B978-0-12-815879-1.00009-4","usgsCitation":"White, J., Torres, M.S., Verma, S.K., Elmore, M.T., Kowalski, K., and Kingsley, K.L., 2019, Evidence for widespread microbivory of endophytic bacteria in roots of vascularplants through oxidative degradation in root cell periplasmic spaces, chap. <i>of</i> PGPR amelioration in sustainable agriculture food security and environmental management, p. 167-193, https://doi.org/10.1016/B978-0-12-815879-1.00009-4.","productDescription":"27 p.","startPage":"167","endPage":"193","ipdsId":"IP-094340","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":359517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5befe5b6e4b045bfcadf7f1e","contributors":{"authors":[{"text":"White, James F.","contributorId":152046,"corporation":false,"usgs":false,"family":"White","given":"James F.","affiliations":[],"preferred":false,"id":741861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres, Monica S.","contributorId":152047,"corporation":false,"usgs":false,"family":"Torres","given":"Monica","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":741862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verma, Satish Kumar","contributorId":203175,"corporation":false,"usgs":false,"family":"Verma","given":"Satish","email":"","middleInitial":"Kumar","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":741863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":741864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":741860,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":741865,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200930,"text":"70200930 - 2019 - Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems","interactions":[],"lastModifiedDate":"2018-11-16T10:54:17","indexId":"70200930","displayToPublicDate":"2018-11-16T10:54:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems","docAbstract":"<p><span>Large river-floodplain systems are hotspots of&nbsp;biodiversity&nbsp;and&nbsp;ecosystem services&nbsp;but are also used for multiple human activities, making them one of the most threatened ecosystems worldwide. There is wide evidence that reconnecting&nbsp;river channels&nbsp;with their&nbsp;floodplains&nbsp;is an effective measure to increase their multi-functionality, i.e., ecological integrity, habitats for multiple species and the multiple functions and services of river-floodplain systems, although, the selection of promising sites for restoration projects can be a demanding task. In the case of the Danube River in Europe, planning and implementation of restoration projects is substantially hampered by the complexity and heterogeneity of the environmental problems, lack of data and strong differences in socio-economic conditions as well as inconsistencies in legislation related to&nbsp;river management. We take a quantitative approach based on best-available data to assess biodiversity using selected species and three ecosystem services (flood regulation, crop&nbsp;</span>pollination<span>, and recreation), focused on the navigable main stem of the Danube River and its floodplains. We spatially prioritize river-floodplain segments for conservation and restoration based on (1) multi-functionality related to biodiversity and ecosystem services, (2) availability of remaining semi-natural areas and (3) reversibility as it relates to multiple human activities (e.g.&nbsp;flood protection,&nbsp;hydropowerand navigation). Our approach can thus serve as a strategic planning tool for the Danube and provide a method for similar analyses in other large river-floodplain systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.10.322","usgsCitation":"Funk, A., Martinez-Lopez, J., Borgwardt, F., Traunder, D., Bagstad, K.J., Balbi, S., Magrach, A., Villa, F., and Hein, T., 2019, Identification of conservation and restoration priority areas in the Danube River based on the multi-functionality of river-floodplain systems: Science of the Total Environment, v. 654, p. 763-777, https://doi.org/10.1016/j.scitotenv.2018.10.322.","productDescription":"15 p.","startPage":"763","endPage":"777","ipdsId":"IP-099325","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.10.322","text":"Publisher Index Page"},{"id":359509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Austria, Bulgaria, Croatia, Germany, Hungary, Romania, Slovakia, Serbia, Ukraine","otherGeospatial":"Danube River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              10,\n              43\n            ],\n            [\n              32,\n              43\n            ],\n            [\n              32,\n              50\n            ],\n            [\n              10,\n              50\n            ],\n            [\n              10,\n              43\n            ]\n          ]\n        ]\n      }\n    }\n  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Florian","contributorId":210647,"corporation":false,"usgs":false,"family":"Borgwardt","given":"Florian","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Traunder, Daniel","contributorId":210648,"corporation":false,"usgs":false,"family":"Traunder","given":"Daniel","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":751357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751362,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751363,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":751364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hein, Thomas 0000-0002-7767-4607","orcid":"https://orcid.org/0000-0002-7767-4607","contributorId":210649,"corporation":false,"usgs":false,"family":"Hein","given":"Thomas","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":751365,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70228044,"text":"70228044 - 2019 - Estimating spatial–temporal differences in Chinook salmon outmigration survival with habitat- and predation-related covariates","interactions":[],"lastModifiedDate":"2022-02-03T16:07:10.658187","indexId":"70228044","displayToPublicDate":"2018-11-15T10:00:07","publicationYear":"2019","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":"Estimating spatial–temporal differences in Chinook salmon outmigration survival with habitat- and predation-related covariates","docAbstract":"<p><span>Low survival rates of Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) smolts in California’s Central Valley have been attributed to multiple biological and physical factors, but it is not clear which factors have the largest impact. We used 5 years of acoustic telemetry data for 1709 late-fall Chinook salmon smolts to evaluate the effect of habitat- and predation-related covariates on outmigration survival through the Sacramento River. Using a Cormack–Jolly–Seber mark–recapture model, we estimated survival rates both as a function of covariates (covariate model) and as a function of river location and release year (spatial–temporal model). Our covariate model was overwhelmingly supported as the preferred model based on model selection criteria, suggesting the covariates adequately replicated spatial and temporal patterns in smolt survival. The covariates in the selected model included individual fish covariates, habitat-specific covariates, and temporally variable physical conditions. The most important covariate affecting salmon survival was flow. We describe the importance of these parameters in the context of juvenile salmon predation risk and suggest that additional research on predator distribution and density could improve model estimates.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0212","usgsCitation":"Henderson, M., Iglesias, I.S., Michel, C.J., Ammann, A.J., and Huff, D.D., 2019, Estimating spatial–temporal differences in Chinook salmon outmigration survival with habitat- and predation-related covariates: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 9, p. 1549-1561, https://doi.org/10.1139/cjfas-2018-0212.","productDescription":"13 p.","startPage":"1549","endPage":"1561","ipdsId":"IP-097049","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":501022,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/94927","text":"External Repository"},{"id":395356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3,\n              38.70265930723801\n            ],\n            [\n              -120.9375,\n              38.70265930723801\n            ],\n            [\n              -120.9375,\n              40.44694705960048\n            ],\n            [\n              -122.3,\n              40.44694705960048\n            ],\n            [\n              -122.3,\n              38.70265930723801\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":832954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iglesias, Ilysa S.","contributorId":274387,"corporation":false,"usgs":false,"family":"Iglesias","given":"Ilysa","email":"","middleInitial":"S.","affiliations":[{"id":56613,"text":"uc sc","active":true,"usgs":false}],"preferred":false,"id":832955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Cyril J.","contributorId":207096,"corporation":false,"usgs":false,"family":"Michel","given":"Cyril","email":"","middleInitial":"J.","affiliations":[{"id":37452,"text":"National Marine Fisheries Service, Southwest Fisheries Science Center, 110 Shaffer Rd., Santa Cruz, CA 95060","active":true,"usgs":false}],"preferred":false,"id":832956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ammann, Arnold J.","contributorId":207095,"corporation":false,"usgs":false,"family":"Ammann","given":"Arnold","email":"","middleInitial":"J.","affiliations":[{"id":37452,"text":"National Marine Fisheries Service, Southwest Fisheries Science Center, 110 Shaffer Rd., Santa Cruz, CA 95060","active":true,"usgs":false}],"preferred":false,"id":832957,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huff, David D.","contributorId":171694,"corporation":false,"usgs":false,"family":"Huff","given":"David","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":832958,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203350,"text":"70203350 - 2019 - Do low-cost seismographs perform well enough for your network?  An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D","interactions":[],"lastModifiedDate":"2019-05-07T13:06:04","indexId":"70203350","displayToPublicDate":"2018-11-14T13:04:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Do low-cost seismographs perform well enough for your network?  An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D","docAbstract":"Seismologists have recently begun utilizing low-cost nodal sensors in dense deployments to sample the seismic wavefield at unprecedented spatial resolution. Earthquake Early Warning Systems (EEWS) and other monitoring networks (e.g. wastewater injection) would additionally benefit from network densification; however, current nodal systems lack power systems and/or real-time data transmission required for these applications. A candidate sensor for these networks may instead be a low-cost, all-in-one package such as the OSOP Raspberry Shake 4D (RS-4D). The RS-4D includes a vertical component geophone, 3-component accelerometer, digitizer, and near real-time miniSEED data transmission, and costs only a few hundred dollars per unit. Here, we step through instrument testing of three RS-4Ds at the Albuquerque Seismological Laboratory. We find the geophones have sensitivities constrained to within 4% of nominal, but that they have relatively high self-noise levels compared to the broadband sensors typically used in seismic networks. To demonstrate the impact this would have on characterizing nearby events, we estimate local magnitudes of earthquakes in Oklahoma using Trillium Compact broadband sensor data from U.S. Geological Survey (USGS) aftershock deployments as well as 23 Raspberry Shakes operated by hobbyists and private owners within Oklahoma. We find that for ML 2.0-4.0 earthquakes at distances of 20-100 km from seismic stations, the Raspberry Shakes require events of magnitude ~0.3 larger than the broadband sensors in order to reliably estimate ML at a given distance from the epicenter. We conclude that RS-4Ds are suitable for densifying backbone networks designed for studies of local and regional events.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220180251","usgsCitation":"Anthony, R.E., Ringler, A.T., Wilson, D.C., and Wolin, E., 2019, Do low-cost seismographs perform well enough for your network?  An overview of laboratory tests and field observations of the OSOP Raspberry Shake 4D: Seismological Research Letters, v. 90, no. 1, p. 219-228, https://doi.org/10.1785/0220180251.","productDescription":"10 p.","startPage":"219","endPage":"228","ipdsId":"IP-102210","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":363559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolin, Emily 0000-0003-1610-1191 ewolin@usgs.gov","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":198778,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","email":"ewolin@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":762272,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215783,"text":"70215783 - 2019 - A reinterpretation of “Homing pigeons’ flight over and under low stratus” based on atmospheric propagation modeling of infrasonic navigational cues","interactions":[],"lastModifiedDate":"2020-10-29T14:05:55.372525","indexId":"70215783","displayToPublicDate":"2018-11-14T09:03:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2225,"text":"Journal of Comparative Physiology A","active":true,"publicationSubtype":{"id":10}},"title":"A reinterpretation of “Homing pigeons’ flight over and under low stratus” based on atmospheric propagation modeling of infrasonic navigational cues","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Pigeons flying above temperature inversion and related low-stratus layers appear to lack important navigational cues, and a reinterpretation of Wagner’s 1978 study suggests that these cues are low-frequency acoustic signals (infrasound). Wagner released homing pigeons above opaque stratus over the Swiss Plateau to determine whether they could locate their loft beneath it. Birds above the clouds appeared lost, while those that descended beneath them returned home directly. Atmospheric propagation modeling of infrasonic waves virtually transmitted from the loft area shows that these signals would have been ducted beneath the inversion layer, and would not have reached the release sites above it. The absence of homeward infrasonic cues above temperature inversions could explain the disorientation of Wagner’s birds, especially if such signals are the predominant cues used by pigeons to home. The possible generation of infrasonic navigational signals in the loft area and recent queries concerning the infrasound navigational “map” hypothesis are also discussed.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00359-018-1304-y","usgsCitation":"Hagstrum, J.T., 2019, A reinterpretation of “Homing pigeons’ flight over and under low stratus” based on atmospheric propagation modeling of infrasonic navigational cues: Journal of Comparative Physiology A, v. 205, p. 67-78, https://doi.org/10.1007/s00359-018-1304-y.","productDescription":"12 p.","startPage":"67","endPage":"78","ipdsId":"IP-096723","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":379914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"205","noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":803444,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70227204,"text":"70227204 - 2019 - GHR1 Zircon – A new Eocene natural reference material for microbeam U-Pb geochronology and Hf isotopic analysis of zircon","interactions":[],"lastModifiedDate":"2022-01-04T13:31:01.197038","indexId":"70227204","displayToPublicDate":"2018-11-14T07:27:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"GHR1 Zircon – A new Eocene natural reference material for microbeam U-Pb geochronology and Hf isotopic analysis of zircon","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We present multitechnique U-Pb geochronology and Hf isotopic data from zircon separated from rapakivi biotite granite within the Eocene Golden Horn batholith in Washington, USA. A weighted mean of twenty-five Th-corrected<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U zircon dates produced at two independent laboratories using chemical abrasion-isotope dilution-thermal ionisation mass&nbsp;spectrometry (CA-ID-TIMS) is 48.106&nbsp;±&nbsp;0.023&nbsp;Ma (2<i>s</i><span>&nbsp;</span>analytical including tracer uncertainties, MSWD&nbsp;=&nbsp;1.53) and is our recommended date for GHR1 zircon. Microbeam<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U dates from laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) and secondary ion mass spectrometry (SIMS) laboratories are reproducible and in agreement with the CA-ID-TIMS date to within &lt;&nbsp;1.5%. Solution multi-collector ICP-MS (MC-ICP-MS) measurements of Hf isotopes from chemically purified aliquots of GHR1 yield a mean<span>&nbsp;</span><sup>176</sup>Hf/<sup>177</sup>Hf of 0.283050&nbsp;±&nbsp;17 (2<i>s</i>,<i><span>&nbsp;</span>n&nbsp;</i>=<i>&nbsp;</i>10), corresponding to a εHf<sub>0</sub><span>&nbsp;</span>of +9.3. Hafnium isotopic measurements from two LA-ICP-MS laboratories are in agreement with the solution MC-ICP-MS value. The reproducibility of<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U and<span>&nbsp;</span><sup>176</sup>Hf/<sup>177</sup>Hf ratios from GHR1 zircon across a variety of measurement techniques demonstrates their homogeneity in most grains. Additionally, the effectively limitless reserves of GHR1 material from an accessible exposure suggest that GHR1 can provide a useful reference material for U-Pb geochronology of Cenozoic zircon and Hf isotopic measurements of zircon with radiogenic<span>&nbsp;</span><sup>176</sup>Hf/<sup>177</sup>Hf.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.12246","usgsCitation":"Eddy, M.P., Ibanez-Mejia, M., Burgess, S.D., Coble, M.A., Gordani, U.G., DesOrmeau, J., Gehrels, G., Li, X., MacLennan, S., Pecha, M., Sato, K., Schoene, B., Valencia, V.A., Vervoort, J.D., and Wang, T., 2019, GHR1 Zircon – A new Eocene natural reference material for microbeam U-Pb geochronology and Hf isotopic analysis of zircon: Geostandards and Geoanalytical Research, v. 43, no. 1, p. 113-132, https://doi.org/10.1111/ggr.12246.","productDescription":"20 p.","startPage":"113","endPage":"132","ipdsId":"IP-093024","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ggr.12246","text":"External Repository"},{"id":393840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -138.076171875,\n              59.17592824927136\n            ],\n            [\n              -139.04296875,\n              58.722598828043374\n            ],\n            [\n              -137.63671875,\n              56.31653672211301\n            ],\n            [\n              -134.296875,\n              53.330872983017066\n            ],\n            [\n              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]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Eddy, Michael P","contributorId":270800,"corporation":false,"usgs":false,"family":"Eddy","given":"Michael","email":"","middleInitial":"P","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":830077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibanez-Mejia, Mauricio","contributorId":270801,"corporation":false,"usgs":false,"family":"Ibanez-Mejia","given":"Mauricio","email":"","affiliations":[{"id":37381,"text":"University of Rochester","active":true,"usgs":false}],"preferred":false,"id":830078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burgess, Seth D. 0000-0002-4238-3797 sburgess@usgs.gov","orcid":"https://orcid.org/0000-0002-4238-3797","contributorId":200371,"corporation":false,"usgs":true,"family":"Burgess","given":"Seth","email":"sburgess@usgs.gov","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":830080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordani, Umberto G","contributorId":270802,"corporation":false,"usgs":false,"family":"Gordani","given":"Umberto","email":"","middleInitial":"G","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":830081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DesOrmeau, Joel","contributorId":270817,"corporation":false,"usgs":false,"family":"DesOrmeau","given":"Joel","email":"","affiliations":[],"preferred":false,"id":830091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gehrels, George E.","contributorId":270803,"corporation":false,"usgs":false,"family":"Gehrels","given":"George E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":830082,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Xianhua","contributorId":270804,"corporation":false,"usgs":false,"family":"Li","given":"Xianhua","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":830083,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"MacLennan, Scott","contributorId":270805,"corporation":false,"usgs":false,"family":"MacLennan","given":"Scott","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":830084,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pecha, Mark","contributorId":192303,"corporation":false,"usgs":false,"family":"Pecha","given":"Mark","email":"","affiliations":[],"preferred":false,"id":830085,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sato, Kei","contributorId":270806,"corporation":false,"usgs":false,"family":"Sato","given":"Kei","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":830086,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schoene, Blair","contributorId":270807,"corporation":false,"usgs":false,"family":"Schoene","given":"Blair","email":"","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":830087,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Valencia, Victor A.","contributorId":270808,"corporation":false,"usgs":false,"family":"Valencia","given":"Victor","email":"","middleInitial":"A.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":830088,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Vervoort, Jeffrey D.","contributorId":270809,"corporation":false,"usgs":false,"family":"Vervoort","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":830089,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wang, Tiantian","contributorId":270810,"corporation":false,"usgs":false,"family":"Wang","given":"Tiantian","email":"","affiliations":[{"id":12433,"text":"China University of Geosciences","active":true,"usgs":false}],"preferred":false,"id":830090,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70206846,"text":"70206846 - 2019 - The spatial scale of biotic change in Chihuahuan Desert fish assemblages","interactions":[],"lastModifiedDate":"2019-11-26T07:18:02","indexId":"70206846","displayToPublicDate":"2018-11-14T07:16:21","publicationYear":"2019","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 spatial scale of biotic change in Chihuahuan Desert fish assemblages","docAbstract":"1. We examined riverine desert fish assemblages in the Chihuahuan Desert, USA at multiple spatial scales of similarity to assess long-term changes to assemblage distinctiveness, identify individual species responsible for changes, and determine the importance of geographic context and species resolution in interpreting patterns of change.\n2. We used a well-documented historical data set on fish distribution and abundance, and recent collections of fishes that provided a paired analytical design across 36 localities spanning nearly three decades of time. Patterns of faunal homogenization and differentiation were assessed at basin-wide, sub-basin and river-reach scales with species occurrence and relative abundance data. Individual species responses were examined to identify the drivers of assemblage change across time. \n3. Patterns of similarity varied across spatial scales and produced seemingly incongruous trends in assemblage similarity across time. Patterns of assemblage distinctiveness depended on the spatial extent of the analyses, the geographical structuring of the fish assemblages, and whether occurrence or relative abundance data were used. These dependencies led to interesting and conflicting patterns of homogenization and differentiation. The Rio Grande sub-basin showed strong homogenization with convergence between upstream and downstream reaches that corresponded to declining water quality and quantity from the Rio Conchos in Mexico. In contrast, the Pecos River sub-basin showed strong differentiation between upstream and downstream reaches that corresponded to the successful colonization and spread of the non-native gulf killifish (Fundulus grandis) in the highly degraded upper reach. Spatial variability in fish assemblages and their degree of change from historical conditions were largely dependent on anthropogenic modifications to the flow regime and variability in the success of invasive gulf killifish in the basin.\n4. The use of species occurrence or abundance data, and the spatial scale of analysis are crucial choices in studies of faunal homogenization and differentiation, and we have demonstrated how these choices lead to variable results for our study system. Our multi-scale approach and examination of individual species responses identified the ultimate drivers of these differences and illustrated the importance of scale-dependent effects and geographical context on patterns of assemblage distinctiveness, especially with regard to species invasion, species loss and abundance shifts.","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13211","usgsCitation":"Taylor, C.M., Miyazono, S., Cheek, C., Edwards, R., and Patino, R., 2019, The spatial scale of biotic change in Chihuahuan Desert fish assemblages: Freshwater Biology, v. 64, no. 1, p. 222-232, https://doi.org/10.1111/fwb.13211.","productDescription":"11 p.","startPage":"222","endPage":"232","ipdsId":"IP-089899","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":369612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Chihuahuan Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.54541015625,\n              28.536274512989916\n            ],\n            [\n              -101.22802734375,\n              28.536274512989916\n            ],\n            [\n              -101.22802734375,\n              32.02670629333614\n            ],\n            [\n              -106.54541015625,\n              32.02670629333614\n            ],\n            [\n              -106.54541015625,\n              28.536274512989916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, C. M.","contributorId":220867,"corporation":false,"usgs":false,"family":"Taylor","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":776034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miyazono, S.","contributorId":220868,"corporation":false,"usgs":false,"family":"Miyazono","given":"S.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":776035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheek, C.A.","contributorId":220869,"corporation":false,"usgs":false,"family":"Cheek","given":"C.A.","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":776036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, R.J.","contributorId":220870,"corporation":false,"usgs":false,"family":"Edwards","given":"R.J.","email":"","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":776037,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":776033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205953,"text":"70205953 - 2019 - Evaluating potential distribution of high-risk aquatic invasive species in the water garden and aquarium trade at a global scale based on current established populations","interactions":[],"lastModifiedDate":"2019-10-14T06:57:03","indexId":"70205953","displayToPublicDate":"2018-11-14T06:55:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3300,"text":"Risk Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating potential distribution of high-risk aquatic invasive species in the water garden and aquarium trade at a global scale based on current established populations","docAbstract":"Aquatic non‐native invasive species are commonly traded in the worldwide water garden and aquarium markets, and some of these species pose major threats to the economy, the environment, and human health. Understanding the potential suitable habitat for these species at a global scale and at regional scales can inform risk assessments and predict future potential establishment. Typically, global habitat suitability models are fit for freshwater species with only climate variables, which provides little information about suitable terrestrial conditions for aquatic species. Remotely sensed data including topography and land cover data have the potential to improve our understanding of suitable habitat for aquatic species. In this study, we fit species distribution models using five different model algorithms for three non‐native aquatic invasive species with bioclimatic, topographic, and remotely sensed covariates to evaluate potential suitable habitat beyond simple climate matches. The species examined included a frog (Xenopus laevis), toad (Bombina orientalis), and snail (Pomacea spp.). Using a unique modeling approach for each species including background point selection based on known established populations resulted in robust ensemble habitat suitability models. All models for all species had test area under the receiver operating characteristic curve values greater than 0.70 and percent correctly classified values greater than 0.65. Importantly, we employed multivariate environmental similarity surface maps to evaluate potential extrapolation beyond observed conditions when applying models globally. These global models provide necessary forecasts of where these aquatic invasive species have the potential for establishment outside their native range, a key component in risk analyses.","language":"English","publisher":"Wiley ","doi":"10.1111/risa.13230","usgsCitation":"West, A.M., Jarnevich, C.S., Fuller, P., and Young, N.E., 2019, Evaluating potential distribution of high-risk aquatic invasive species in the water garden and aquarium trade at a global scale based on current established populations: Risk Analysis, v. 39, no. 5, p. 1169-1191, https://doi.org/10.1111/risa.13230.","productDescription":"23 p.","startPage":"1169","endPage":"1191","ipdsId":"IP-081998","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437617,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B27SSW","text":"USGS data release","linkHelpText":"Workflow to create global species distribution model for Bombina orientalis, Xenopus laevis, and Pomacea from GBIF data and climate, land cover, topography, and MODIS derived predictors"},{"id":368292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"West, Amanda M.","contributorId":176705,"corporation":false,"usgs":false,"family":"West","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":773027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Pam 0000-0002-9389-9144 pfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9389-9144","contributorId":167676,"corporation":false,"usgs":true,"family":"Fuller","given":"Pam","email":"pfuller@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":773028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Nicholas E.","contributorId":189060,"corporation":false,"usgs":false,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":773029,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204581,"text":"70204581 - 2019 - Density‐dependent and phenological mismatch effects on growth and survival in lesser snow and Ross's goslings","interactions":[],"lastModifiedDate":"2019-08-07T09:10:05","indexId":"70204581","displayToPublicDate":"2018-11-08T12:04:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Density‐dependent and phenological mismatch effects on growth and survival in lesser snow and Ross's goslings","docAbstract":"Strong seasonality of high‐latitude environments imposes temporal constraints on forage availability and quality for keystone herbivores in terrestrial arctic ecosystems, including hyper‐abundant colonial geese. Changes in food quality due to intraspecific competition, or food availability relative to the breeding phenology of birds, may have consequences for growth and survival of young. We used long‐term data (1993–2014) from the Karrak Lake nesting colony in the Canadian central arctic to study relative roles of density and phenological mismatch (i.e. days between seasonal peaks in vegetation quality and hatching) as drivers of annual variations in gosling survival among lesser snow Anser caerulescens caerulescens and Ross's geese A. rossii. Survival of Ross's goslings was consistently higher compared to snow geese. For both species, annual gosling survival was greatest when phenological mismatch was minimal and when nesting population size was low. We also examined gosling structural size (1999–2014) in relation to density and mismatch hypotheses to understand whether changes in survival were preceded by a parallel response in growth stemming from a density‐dependent effect on annual forage conditions. After controlling for sex, age and random effects of capture group and year × species, structural size of both snow and Ross's goslings was reduced in years when phenological mismatch was greater. However, there was no significant evidence that body size of goslings was negatively related to breeding population size at the colony. Our results lend support to the notion that both broad‐scale changes in seasonality from observed and predicted warming in the arctic and, to a lesser extent, density‐dependence on brood‐rearing areas may result in changes to offspring quality or survival, with implications for population recruitment.","language":"English","publisher":"Wiley","doi":"10.1111/jav.01748","usgsCitation":"Megan V. Ross, Alisauskas, R.T., Douglas, D., Kellett, D.K., and Drake, K.L., 2019, Density‐dependent and phenological mismatch effects on growth and survival in lesser snow and Ross's goslings: Journal of Avian Biology, v. 49, no. 12, 12 p., https://doi.org/10.1111/jav.01748.","productDescription":"12 p.","ipdsId":"IP-090132","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":366303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"12","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Megan V. Ross","contributorId":217834,"corporation":false,"usgs":false,"family":"Megan V. Ross","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":767629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alisauskas, Ray T.","contributorId":217835,"corporation":false,"usgs":false,"family":"Alisauskas","given":"Ray","email":"","middleInitial":"T.","affiliations":[{"id":39698,"text":"University of Saskatchewan; Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":767630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":150115,"corporation":false,"usgs":true,"family":"Douglas","given":"David C.","email":"ddouglas@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"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":767628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellett, Dana K.","contributorId":217836,"corporation":false,"usgs":false,"family":"Kellett","given":"Dana","email":"","middleInitial":"K.","affiliations":[{"id":39698,"text":"University of Saskatchewan; Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":767631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, Kiel L.","contributorId":217837,"corporation":false,"usgs":false,"family":"Drake","given":"Kiel","email":"","middleInitial":"L.","affiliations":[{"id":39699,"text":"Bird Studies Canada","active":true,"usgs":false}],"preferred":false,"id":767632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228036,"text":"70228036 - 2019 - Integrating management strategy evaluation into fisheries management: Advancing best practices for stakeholder inclusion based on an MSE for Northeast US Atlantic herring","interactions":[],"lastModifiedDate":"2022-02-03T16:18:38.505473","indexId":"70228036","displayToPublicDate":"2018-11-08T10:15:52","publicationYear":"2019","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":"Integrating management strategy evaluation into fisheries management: Advancing best practices for stakeholder inclusion based on an MSE for Northeast US Atlantic herring","docAbstract":"<p><span>The New England Fishery Management Council used management strategy evaluation (MSE) to evaluate possible harvest control rules for Atlantic herring (</span><i>Clupea harengus</i><span>), the first MSE in the US and perhaps globally to use open-invitation, public workshops for input. Stakeholder inclusion can increase both realism and likelihood of use by managers, but inclusivity is not achieved easily. Here, self-selected participants had diverse backgrounds and differing levels of interest and preparedness. We describe some challenges with directly engaging the public in MSE and offer broader insights for obtaining effective public participation during a decision-making process. Conducting an open MSE aligns well with publicly driven management but requires clear goals and communication. Investment in effective organizers, impartial facilitators, and knowledgeable analysts can improve communication and understanding of MSE to the betterment of fisheries management. We aim to further MSE best practices on integrating stakeholders and hope that our lessons learned on communication, engagement, and integration of MSE into an existing management arena will be useful to other practitioners.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0125","usgsCitation":"Feeney, R.G., Boelke, D.V., Deroba, J.J., Gaichas, S., Irwin, B.J., and Lee, M., 2019, Integrating management strategy evaluation into fisheries management: Advancing best practices for stakeholder inclusion based on an MSE for Northeast US Atlantic herring: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 7, p. 1103-1111, https://doi.org/10.1139/cjfas-2018-0125.","productDescription":"9 p.","startPage":"1103","endPage":"1111","ipdsId":"IP-096830","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":501374,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/93688","text":"External Repository"},{"id":395359,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Feeney, Rachael G.","contributorId":274373,"corporation":false,"usgs":false,"family":"Feeney","given":"Rachael","email":"","middleInitial":"G.","affiliations":[{"id":40788,"text":"New England Fishery Management Council","active":true,"usgs":false}],"preferred":false,"id":832944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boelke, Deirdre V.","contributorId":274374,"corporation":false,"usgs":false,"family":"Boelke","given":"Deirdre","email":"","middleInitial":"V.","affiliations":[{"id":40788,"text":"New England Fishery Management Council","active":true,"usgs":false}],"preferred":false,"id":832945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deroba, Jonathan J","contributorId":274375,"corporation":false,"usgs":false,"family":"Deroba","given":"Jonathan","email":"","middleInitial":"J","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":832946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gaichas, Sarah","contributorId":212185,"corporation":false,"usgs":false,"family":"Gaichas","given":"Sarah","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":832947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Brian J. 0000-0002-0666-2641 bjirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":4037,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian","email":"bjirwin@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, Min-Yang","contributorId":274376,"corporation":false,"usgs":false,"family":"Lee","given":"Min-Yang","email":"","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":832949,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203339,"text":"70203339 - 2019 - Spatiotemporal analysis of the Foreshock-Mainshock-Aftershock sequence of the 6 July 2017 M5.8 Lincoln, Montana, earthquake","interactions":[],"lastModifiedDate":"2019-05-07T09:44:21","indexId":"70203339","displayToPublicDate":"2018-11-07T09:40:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal analysis of the Foreshock-Mainshock-Aftershock sequence of the 6 July 2017 M5.8 Lincoln, Montana, earthquake","docAbstract":"A MW 5.8 earthquake occurred on 6 July 2017 at 12.2 km depth, 11 km southeast of Lincoln in west central Montana. No major damage or injuries were reported; however, the widely felt mainshock generated a prolific aftershock sequence with more than 1200 located events through the end of 2017. The Lincoln event is the latest in a series of moderate-to-large earthquakes that have affected western Montana. We characterize the spatiotemporal evolution of the sequence using matched filter detection and multiple-event relocation techniques. Moment tensor solutions and aftershock locations indicate faulting occurred on a 9-km-long NNE-striking, near-vertical, strike-slip fault antithetic to the Lewis and Clark Line, the main through-going fault system. Seismicity primarily occurs between 6 and 16 km depth, consistent with seismicity in the Intermountain Seismic Belt. We estimate a fault rupture area of ~64 km2 and ~30 cm of average fault displacement. We identified four foreshocks in the three days prior to, and 3005 aftershocks in the three weeks following the mainshock. The supplemented catalog frequency-magnitude distribution has a b-value of 0.79 and a minimum magnitude of completeness of 0.7. The overall decay rate is consistent with a modified Omori decay law p-value of 0.76 and c-value of 0.32. This event demonstrates that unmapped faults antithetic to major geologic structures play a role in accommodating regional strain in Western Montana and can host significant earthquakes","language":"English","publisher":"GSW","doi":"10.1785/0220180180","usgsCitation":"McMahon, N., Yeck, W.L., Stickney, M.C., Aster, R.C., Martens, H.R., and Benz, H.M., 2019, Spatiotemporal analysis of the Foreshock-Mainshock-Aftershock sequence of the 6 July 2017 M5.8 Lincoln, Montana, earthquake: Seismological Research Letters, v. 9, no. 1, p. 131-139, https://doi.org/10.1785/0220180180.","productDescription":"9 p.","startPage":"131","endPage":"139","ipdsId":"IP-101033","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":363551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363531,"type":{"id":15,"text":"Index 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,{"id":70206265,"text":"70206265 - 2019 - Validating the use of object-based image analysis to map commonly-recognized landform features in the United States","interactions":[],"lastModifiedDate":"2019-10-29T08:42:01","indexId":"70206265","displayToPublicDate":"2018-11-07T08:41:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Validating the use of object-based image analysis to map commonly-recognized landform features in the United States","docAbstract":"The U.S. Geological Survey (USGS) National Geospatial Program (NGP) seeks to i) create semantically-accessible terrain features from the pixel-based 3D Elevation Program (3DEP) data, and ii) enhance the usability of the USGS Geographic Names Information System (GNIS) by associating boundaries with GNIS features whose spatial representation is currently limited to 2D point locations. Geographic object-based image analysis (GEOBIA) was determined to be a promising method to approach both goals. An existing GEOBIA workflow was modified and the resulting segmented objects and terrain categories tested for a strategically chosen physiographic province in the mid-western US, the Ozark Plateaus. The chi-squared test of independence confirmed that there is significant overall spatial association between terrain categories of the GEOBIA and GNIS feature classes. Contingency table analysis also suggests strong category-specific associations between select GNIS and GEOBIA classes. However, 3D visual analysis revealed that GEOBIA objects resembled segmented regions more than they did individual landform objects, with their boundaries often failing to correspond to match what people would likely perceive as landforms. Still, objects derived through GEOBIA can provide initial baseline landscape divisions that can improve the efficiency of more specialized feature extraction methods.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230406.2018.1526652","usgsCitation":"Arundel, S., and Sinha, G., 2019, Validating the use of object-based image analysis to map commonly-recognized landform features in the United States: Cartography and Geographic Information Science, v. 46, no. 5, p. 441-455, https://doi.org/10.1080/15230406.2018.1526652.","productDescription":"15 p.","startPage":"441","endPage":"455","ipdsId":"IP-091147","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":368695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"5","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":773989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinha, Gaurav","contributorId":220051,"corporation":false,"usgs":false,"family":"Sinha","given":"Gaurav","email":"","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":773990,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200835,"text":"70200835 - 2019 - Modeling landowner interactions and development patterns at the urban fringe","interactions":[],"lastModifiedDate":"2018-11-13T13:16:26","indexId":"70200835","displayToPublicDate":"2018-11-06T14:51:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Modeling landowner interactions and development patterns at the urban fringe","docAbstract":"Population growth and unrestricted development policies are driving low-density urbanization and fragmentation of peri-urban landscapes across North America. While private individuals own most undeveloped land, little is known about how their decision-making processes shape landscape-scale patterns of urbanization over time. We introduce a hybrid agent-based modeling (ABM) – cellular automata (CA) modeling approach, developed for analyzing dynamic feedbacks between landowners’ decisions to sell their land for development, and resulting patterns of landscape fragmentation. Our modeling approach builds on existing conceptual frameworks in land systems modeling by integrating an ABM into an established grid-based land-change model – FUTURES. The decision-making process within the ABM involves landowner agents whose decision to sell their land to developers is a function of heterogeneous preferences and peer-influences (i.e., spatial neighborhood relationships). Simulating landowners’ decision to sell allows an operational link between the ABM and the CA module. To test our hybrid ABM-CA approach, we used empirical data for a rapidly growing region in North Carolina for parameterization. We conducted a sensitivity analysis focusing on the two most relevant parameters—spatial actor distribution and peer-influence intensity—and evaluated the dynamic behavior of the model simulations. The simulation results indicate different peer-influence intensities lead to variable landscape fragmentation patterns, suggesting patterns of spatial interaction among landowners indirectly affect landscape-scale patterns of urbanization and the fragmentation of undeveloped forest and farmland.","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2018.09.023","usgsCitation":"Koch, J., Dorning, M., Van Berkel, D.B., Beck, S.M., Sanchez, G., Shashidharan, A., Smart, L.S., Zhang, Q., Smith, J.W., and Meentemeyer, R.K., 2019, Modeling landowner interactions and development patterns at the urban fringe: Landscape and Urban Planning, v. 182, p. 101-113, https://doi.org/10.1016/j.landurbplan.2018.09.023.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-091393","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2018.09.023","text":"Publisher Index Page"},{"id":359237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Cabarrus ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.7371,35.5098],[-80.5738,35.5057],[-80.2879,35.5067],[-80.3867,35.3739],[-80.4815,35.2156],[-80.4855,35.2124],[-80.4899,35.211],[-80.4916,35.2115],[-80.4933,35.2101],[-80.4956,35.2092],[-80.4978,35.2078],[-80.4984,35.2065],[-80.5006,35.2037],[-80.5028,35.2024],[-80.5045,35.2014],[-80.5051,35.2001],[-80.5034,35.1983],[-80.5056,35.1969],[-80.5079,35.1955],[-80.5101,35.1928],[-80.5084,35.1914],[-80.5089,35.1896],[-80.5089,35.1883],[-80.5095,35.1869],[-80.51,35.1855],[-80.5293,35.1995],[-80.5485,35.2108],[-80.5954,35.2369],[-80.6214,35.2499],[-80.6677,35.2705],[-80.6822,35.3131],[-80.6983,35.3507],[-80.704,35.3552],[-80.7187,35.3624],[-80.7364,35.3786],[-80.7551,35.3944],[-80.7693,35.402],[-80.7638,35.4134],[-80.7553,35.4125],[-80.7525,35.4148],[-80.7549,35.423],[-80.7744,35.4578],[-80.7778,35.4614],[-80.7779,35.4668],[-80.7819,35.475],[-80.7831,35.4836],[-80.7889,35.4949],[-80.7867,35.5031],[-80.7823,35.5113],[-80.7371,35.5098]]]},\"properties\":{\"name\":\"Cabarrus\",\"state\":\"NC\"}}]}","volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be2b6ade4b0b3fc5cf5b0b2","contributors":{"authors":[{"text":"Koch, Jennifer","contributorId":210475,"corporation":false,"usgs":false,"family":"Koch","given":"Jennifer","email":"","affiliations":[{"id":38113,"text":"The University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":750826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorning, Monica 0000-0002-7576-1256 mdorning@usgs.gov","orcid":"https://orcid.org/0000-0002-7576-1256","contributorId":191772,"corporation":false,"usgs":true,"family":"Dorning","given":"Monica","email":"mdorning@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":750825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Berkel, Derek B.","contributorId":195691,"corporation":false,"usgs":false,"family":"Van Berkel","given":"Derek","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":750827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Scott M.","contributorId":210476,"corporation":false,"usgs":false,"family":"Beck","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":750828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanchez, Georgina M. 0000-0002-2365-6200","orcid":"https://orcid.org/0000-0002-2365-6200","contributorId":210477,"corporation":false,"usgs":false,"family":"Sanchez","given":"Georgina M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":750829,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shashidharan, Ashwin","contributorId":210478,"corporation":false,"usgs":false,"family":"Shashidharan","given":"Ashwin","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":750830,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smart, Lindsey S.","contributorId":207570,"corporation":false,"usgs":false,"family":"Smart","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":750831,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Qiang","contributorId":210479,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiang","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":750832,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Jordan W.","contributorId":177326,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","email":"","middleInitial":"W.","affiliations":[{"id":12682,"text":"Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":750833,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":750834,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203239,"text":"70203239 - 2019 - Integrating landscape simulation models with economic and decision tools for invasive species control ","interactions":[],"lastModifiedDate":"2019-05-02T08:38:54","indexId":"70203239","displayToPublicDate":"2018-11-06T07:24:43","publicationYear":"2019","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}},"title":"Integrating landscape simulation models with economic and decision tools for invasive species control ","docAbstract":"<p>In managing invasive species, land managers and policy makers need information to help allocate scarce resources as efficiently and effectively as possible. Decisions regarding treatment methods, locations, effort, and timing can be informed by the integration of landscape simulation models with economic tools. State and transition simulation models align with conceptual models of ecosystem change often used by practitioners and have been used to characterize the potential consequences of invasions. Outputs of these simulations are typically summarized to describe landscape changes (e.g., infested area), which may provide sufficient information for mangers to make informed decisions. However, it is sometimes helpful or necessary to go a step further to consider the social and economic values associated with treating (or not treating) invasions. Here, we describe when and how to integrate state and transition simulation models with economic and decision tools to aid in the control of emerging and established populations of invasive species. The paper provides an overview of three types of questions that can be addressed: 1) how big is the problem? 2) which management strategy is most appropriate? and 3) what are key sources of uncertainty? For each question, we describe aspects that can be addressed by landscape simulation models alone, and outstanding questions that can be evaluated by integrating economic and decision tools. Through a series of example applications from the literature, we reinforce how the integration of these tools, and the interdisciplinary perspective such an integration requires, can increase relevance and utility of modeling efforts for resource managers and decision makers.</p>","language":"English","publisher":"InvasivesNet","doi":"10.3391/mbi.2019.10.1.02","usgsCitation":"Cullinane Thomas, C., Sofaer, H., Cline, S.A., and Jarnevich, C.S., 2019, Integrating landscape simulation models with economic and decision tools for invasive species control : Management of Biological Invasions, v. 10, no. 1, p. 6-22, https://doi.org/10.3391/mbi.2019.10.1.02.","productDescription":"17 p.","startPage":"6","endPage":"22","ipdsId":"IP-094494","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.1.02","text":"Publisher Index Page"},{"id":363413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cullinane Thomas, Catherine 0000-0001-8168-1271 ccullinanethomas@usgs.gov","orcid":"https://orcid.org/0000-0001-8168-1271","contributorId":215221,"corporation":false,"usgs":true,"family":"Cullinane Thomas","given":"Catherine","email":"ccullinanethomas@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sofaer, Helen 0000-0002-9450-5223 hsofaer@usgs.gov","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":169118,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"hsofaer@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":false,"id":761850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cline, Sarah A.","contributorId":203552,"corporation":false,"usgs":false,"family":"Cline","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":36651,"text":"Department of the Interior Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":761851,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761852,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204736,"text":"70204736 - 2019 - Seasonal sex steroids indicate reproductive costs associated with snake fungal disease","interactions":[],"lastModifiedDate":"2019-08-15T09:43:51","indexId":"70204736","displayToPublicDate":"2018-11-02T09:41:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2515,"text":"Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal sex steroids indicate reproductive costs associated with snake fungal disease","docAbstract":"<p>Emergent diseases may result in population declines by inducing mortality directly or through sublethal effects on host reproduction. Snake fungal disease (SFD) is an emerging threat to biodiversity, but the sublethal impacts of disease on host fitness are poorly characterized in snakes. The cryptic nature of most snakes makes direct assessment of the fitness consequences of SFD challenging. In such contexts, measurement sex steroids that correlate positively with seasonal reproductive investment may be useful in inferring the scope of disease impacts. To test the hypothesis that SFD is associated with reproductive suppression, we measured testosterone and estradiol in free-ranging pygmy rattlesnakes with varying clinical signs of SFD. We also used real-time PCR to validate the relationship between clinical signs and <i>Ophidiomyces ophiodiicola</i> (Oo) DNA presence on the skin. Infected males had lower testosterone compared to uninfected males during summer spermatogenesis and the fall breeding season. Infected females were less likely to have elevated estradiol compared to uninfected females during spring vitellogenesis. Approximately 85% of individuals with clinical signs were Oo DNA positive. Our findings are consistent with the hypothesis that coping with SFD comes at a cost to the reproductive success of afflicted individuals, and that seasonal sex steroids may be valuable early indicators of sublethal effects.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jzo.12628","usgsCitation":"Lind, C.M., Lorch, J.M., Moore, I.T., Vernasco, B.J., and Farrell, T.M., 2019, Seasonal sex steroids indicate reproductive costs associated with snake fungal disease: Journal of Zoology, v. 307, no. 2, p. 104-110, https://doi.org/10.1111/jzo.12628.","productDescription":"7 p.","startPage":"104","endPage":"110","ipdsId":"IP-101822","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":468059,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99163","text":"External Repository"},{"id":366558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"307","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lind, Craig M.","contributorId":201569,"corporation":false,"usgs":false,"family":"Lind","given":"Craig","email":"","middleInitial":"M.","affiliations":[{"id":27623,"text":"Stetson University","active":true,"usgs":false}],"preferred":false,"id":768248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":768247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Ignacio T.","contributorId":201570,"corporation":false,"usgs":false,"family":"Moore","given":"Ignacio","email":"","middleInitial":"T.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":768249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vernasco, Ben J.","contributorId":166945,"corporation":false,"usgs":false,"family":"Vernasco","given":"Ben","email":"","middleInitial":"J.","affiliations":[{"id":24577,"text":"University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":768250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farrell, Terence M.","contributorId":176253,"corporation":false,"usgs":false,"family":"Farrell","given":"Terence","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":768251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70200789,"text":"70200789 - 2019 - Effects of prescribed fire on San Francisco gartersnake survival and movement","interactions":[],"lastModifiedDate":"2019-01-28T08:52:55","indexId":"70200789","displayToPublicDate":"2018-11-01T17:06:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of prescribed fire on San Francisco gartersnake survival and movement","docAbstract":"<p><span>The application of fire is prescribed for management of habitats for many plant and animal communities, but its effects on herpetofauna are diverse and remain poorly understood. To date no studies have examined the effects of prescribed fire on endangered San Francisco gartersnake (</span><i>Thamnophis sirtalis tetrataenia</i><span>) populations, despite a call for prescribed fire in the recovery plan for the species. We used multi‐state capture‐mark‐recapture models to assess whether effects of prescribed fire were ephemeral, occurring only during the year of the fire, or persisted for 3 years following the fire, and to estimate the effects of prescribed fire on demographic parameters of San Francisco gartersnakes inhabiting California coastal prairie. Ephemeral fire effects were better supported for transitions (movement) between burned and unburned areas, but persistent fire effects were better supported for apparent survival and recapture probabilities. Movement between burned and unburned areas decreased during the year of the fire, but transition rates from burned to unburned areas decreased less than transition rates from unburned to burned areas in the year of the fire. Apparent survival probabilities increased in the unburned areas following the fire but were largely unchanged, though more uncertain, in burned areas following the fire. Recapture probabilities decreased site‐wide following the fire, though the decrease was greater in burned areas than in unburned areas. Although imprecise, our estimates of the effects of prescribed fire suggest that under the conditions of this fire (low‐intensity fall burn applied to a small area within a robust population and followed by wet weather), prescribed fire is a viable management tool for maintaining open habitats where San Francisco gartersnakes occur.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21585","usgsCitation":"Halstead, B., Thompson, M.E., Amarello, M., Smith, J.J., Wylie, G.D., Routman, E.J., and Casazza, M.L., 2019, Effects of prescribed fire on San Francisco gartersnake survival and movement: Journal of Wildlife Management, v. 83, no. 1, p. 231-240, https://doi.org/10.1002/jwmg.21585.","productDescription":"10 p.","startPage":"231","endPage":"240","ipdsId":"IP-060673","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468060,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21585","text":"Publisher Index Page"},{"id":437618,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73F4NJK","text":"USGS data release","linkHelpText":"Coastal California San Francisco Gartersnake Capture-Mark-Recapture Data (2008-2013)"},{"id":359092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"83","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-23","publicationStatus":"PW","scienceBaseUri":"5c10a8fde4b034bf6a7e4ece","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Michelle E.","contributorId":210341,"corporation":false,"usgs":false,"family":"Thompson","given":"Michelle","email":"","middleInitial":"E.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":750518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Amarello, Melissa","contributorId":210342,"corporation":false,"usgs":false,"family":"Amarello","given":"Melissa","email":"","affiliations":[{"id":38103,"text":"USGS Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":750519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Jeffrey J.","contributorId":210344,"corporation":false,"usgs":false,"family":"Smith","given":"Jeffrey","email":"","middleInitial":"J.","affiliations":[{"id":38103,"text":"USGS Western Ecological Research Center","active":true,"usgs":false}],"preferred":false,"id":750521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Glenn D. 0000-0002-7061-6658 glenn_wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7061-6658","contributorId":3052,"corporation":false,"usgs":true,"family":"Wylie","given":"Glenn","email":"glenn_wylie@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Routman, Eric J.","contributorId":210343,"corporation":false,"usgs":false,"family":"Routman","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":750520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":750517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70204680,"text":"70204680 - 2019 - Appropriate sample sizes for monitoring burned pastures in sagebrush steppe: How many plots are enough, and can one size fit all?","interactions":[],"lastModifiedDate":"2019-08-09T11:11:38","indexId":"70204680","displayToPublicDate":"2018-11-01T14:26:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Appropriate sample sizes for monitoring burned pastures in sagebrush steppe: How many plots are enough, and can one size fit all?","docAbstract":"Statistically defensible information on vegetation conditions is needed to guide rangeland management decisions following disturbances such as wildfire, often for heterogeneous pastures. Here we evaluate the number of plots needed to make informed adaptive management decisions using >2000 plots sampled on the 2015 Soda Fire that burned across 75 pastures and 113,000 ha in Idaho and Oregon, USA. We predicted that the number of plots required to generate a threshold of standard error/mean ≤0.2 (TSR, threshold sampling requirement) for plant cover within pasture units would vary between sampling methods (rapid ocular versus grid-point intercept) and among plot sizes (1, 6, or 531 m2), as well as relative to topography, elevation, pasture size, complexity of soils and vegetation treatments applied, and dominance by exotic annual or perennial grasses. Sampling was adequate for determining exotic annual and perennial grass cover in about half of the pastures.  A tradeoff in number versus size of plots sampled was apparent, whereby TSR was attainable with less area searched using smaller plot sizes (1 compared to 531 m2) in spite of less variability between larger plots. TSR for both grass types decreased as their dominance increased (0.5-1.5 plots per % cover increment). TSR decreased for perennial grass but increased for exotic annual grass with higher elevations. TSR increased with standard deviation of elevation for perennial grass sampled with grid-point intercept. Sampling effort could be more reliably predicted from landscape variables for the grid-point compared to ocular sampling method.  These findings suggest that adjusting the number and size of sample plots within a pasture or burn area using easily determined landscape variables could increase monitoring efficiency and effectiveness.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2018.05.003","usgsCitation":"Applestein, C., Germino, M., Pilliod, D.S., Fisk, M., and Arkle, R.S., 2019, Appropriate sample sizes for monitoring burned pastures in sagebrush steppe: How many plots are enough, and can one size fit all?: Rangeland Ecology and Management, v. 71, no. 6, p. 721-726, https://doi.org/10.1016/j.rama.2018.05.003.","productDescription":"6 p.","startPage":"721","endPage":"726","ipdsId":"IP-090654","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498719,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/671064","text":"External Repository"},{"id":437620,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75X27WS","text":"USGS data release","linkHelpText":"Exotic and perennial grass cover for pastures in the Soda Fire (2016)"},{"id":366416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":210334,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisk, Matthew 0000-0002-2250-0116","orcid":"https://orcid.org/0000-0002-2250-0116","contributorId":218005,"corporation":false,"usgs":true,"family":"Fisk","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":768046,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70204464,"text":"70204464 - 2019 - Climate change implications for irrigation and groundwater in the Republican River Basin, U.S.A.","interactions":[],"lastModifiedDate":"2019-07-25T11:27:01","indexId":"70204464","displayToPublicDate":"2018-11-01T11:25:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1246,"text":"Climate Change","onlineIssn":"1573-1480","printIssn":"0165-0009","active":true,"publicationSubtype":{"id":10}},"title":"Climate change implications for irrigation and groundwater in the Republican River Basin, U.S.A.","docAbstract":"This study investigates the influence of climate change on groundwater availability, and thereby, irrigation across political boundaries within the United States’ High Plains aquifer. A regression model is developed to predict changes in irrigation according to predicted changes in precipitation and temperature from a downscaled dataset of 32 general circulation models (GCMs). Precipitation recharge changes are calculated with precipitation-recharge curves developed for prognostic representations of precipitation across the Nebraska-Colorado-Kansas area and within the Republican River Basin focal landscape. Irrigation-recharge changes are scaled with changes in irrigation. The groundwater responses to climate forcings are then simulated under new pumping and recharge rates using a MODFLOW groundwater flow model. Results show that groundwater pumping and recharge both will increase and that the effects of groundwater pumping will overshadow those from natural fluctuations. Groundwater levels will decline more in areas with irrigation-driven decreasing trends in the baseline. The methodologies and predictions of this study can inform long-term water planning and the design of management strategies that help avoid and resolve water-related conflicts, enabling irrigation sustainability.","language":"English","publisher":"Springer","doi":"10.1007/s10584-018-2278-z","usgsCitation":"Ou, G., Munoz-Arriola, F., Uden, D., Martin, D.R., Allen, C.R., and Shank, N., 2019, Climate change implications for irrigation and groundwater in the Republican River Basin, U.S.A.: Climate Change, v. 151, no. 2, p. 303-316, https://doi.org/10.1007/s10584-018-2278-z.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-100829","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":468061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-018-2278-z","text":"Publisher Index Page"},{"id":365937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska","otherGeospatial":"Republican River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.9873046875,\n              40.04443758460856\n            ],\n            [\n              -100.37109375,\n              41.29431726315258\n            ],\n            [\n              -102.216796875,\n              41.02964338716638\n            ],\n            [\n              -103.4033203125,\n              40.245991504199026\n            ],\n            [\n              -103.84277343749999,\n              39.30029918615029\n            ],\n            [\n              -102.63427734374999,\n              38.61687046392973\n            ],\n            [\n              -100.04150390625,\n              39.317300373271024\n            ],\n            [\n              -98.7890625,\n              39.7240885773337\n            ],\n            [\n              -96.9873046875,\n              40.04443758460856\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"151","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ou, Gengxin","contributorId":217537,"corporation":false,"usgs":false,"family":"Ou","given":"Gengxin","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":767024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munoz-Arriola, F.","contributorId":217538,"corporation":false,"usgs":false,"family":"Munoz-Arriola","given":"F.","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":767025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uden, D. R.","contributorId":217539,"corporation":false,"usgs":false,"family":"Uden","given":"D. R.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":767026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, D. R.","contributorId":171766,"corporation":false,"usgs":false,"family":"Martin","given":"D.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":767023,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shank, N.","contributorId":217540,"corporation":false,"usgs":false,"family":"Shank","given":"N.","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":767028,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204140,"text":"70204140 - 2019 - Effectiveness of shallow water habitat remediation for improving fish habitat in a large temperate river","interactions":[],"lastModifiedDate":"2019-07-10T09:23:40","indexId":"70204140","displayToPublicDate":"2018-11-01T09:46:18","publicationYear":"2019","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":"Effectiveness of shallow water habitat remediation for improving fish habitat in a large temperate river","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Loss of shallow water riparian zones in the St. Clair River has reduced availability of nursery areas and refuge for fishes. To remediate habitat losses and provide fish nursery areas, five remediation projects were carried out along the river’s United States bank from 2012 to 2014, replacing seawalls with sloping banks and adding in-stream structure (e.g., root wads and boulders). Project evaluation is necessary to determine success, however there is no standard sampling protocol for shallow habitat in large rivers, especially when both adults and juvenile fishes should be targeted. Therefore, to assess remediation effectiveness and suggest appropriate sampling techniques for large river shorelines, we employed a multi-gear sampling strategy targeting multiple fish species and life history stages at five shoreline remediation and four control sites. We collected juvenile fishes with minnow traps and backpack electrofishing and adult fishes with gillnets. Poisson models were used to evaluate catch per unit effort (CPUE) differences between remediation and control sites for species of management priority (e.g., game fishes and rare species) and taxonomic groups. Model estimates were then used to calculate proportional abundances and compare species composition between site types. Results indicated that electrofishing CPUEs of Darters, mottled sculpin<span>&nbsp;</span><i>Cottus bairdi</i>, rare threatened and endangered species, and juvenile and adult Centrarchidae were higher at remediation sites than at control sites. Additionally, juvenile Centrarchidae and mottled sculpin had a higher proportional abundance in electrofishing collections at remediation sites than at control sites. In contrast, CPUEs and proportional abundances were similar for all taxonomic and management priority groups of fish collected in minnow traps and gillnets. Electrofishing captured more species and more individuals and is therefore a valuable sampling technique for large river shorelines. Nevertheless, addition of minnow traps and gillnets allowed for a more comprehensive assessment of fish assemblages. Overall, this multi-faceted survey approach demonstrates that shoreline remediation projects were beneficial to recreational and ecologically important species in the St. Clair River.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2018.07.022","usgsCitation":"Roseman, E.F., Fischer, J., Qian, S., and Mayer, C.M., 2019, Effectiveness of shallow water habitat remediation for improving fish habitat in a large temperate river: Ecological Engineering, v. 123, p. 54-64, https://doi.org/10.1016/j.ecoleng.2018.07.022.","productDescription":"11 p.","startPage":"54","endPage":"64","ipdsId":"IP-093565","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":468062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2018.07.022","text":"Publisher Index Page"},{"id":365363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St Clair River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.42904663085938,\n              43.00866413845207\n            ],\n            [\n              -82.49359130859375,\n              42.896088552971065\n            ],\n            [\n              -82.51007080078125,\n              42.793385221161735\n            ],\n            [\n              -82.52243041992188,\n              42.7016136416648\n            ],\n            [\n              -82.57186889648438,\n              42.64204079304426\n            ],\n            [\n              -82.63229370117188,\n              42.64406114661688\n            ],\n            [\n              -82.71331787109375,\n              42.62991729384455\n            ],\n            [\n              -82.66937255859375,\n              42.50146550893477\n            ],\n            [\n              -82.50045776367188,\n              42.47310984904908\n            ],\n            [\n              -82.40982055664062,\n              42.47817430242155\n            ],\n            [\n              -82.38922119140625,\n              42.55409191714403\n            ],\n            [\n              -82.48397827148438,\n              42.651131867449024\n            ],\n            [\n              -82.45376586914062,\n              42.76314586689492\n            ],\n            [\n              -82.46200561523438,\n              42.80849936032273\n            ],\n            [\n              -82.43179321289062,\n              42.92022922733792\n            ],\n            [\n              -82.386474609375,\n              42.99661231842139\n            ],\n            [\n              -82.39059448242188,\n              43.00966835007137\n            ],\n            [\n              -82.42904663085938,\n              43.00866413845207\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Jason 0000-0001-7226-6500 jfischer@usgs.gov","orcid":"https://orcid.org/0000-0001-7226-6500","contributorId":200339,"corporation":false,"usgs":true,"family":"Fischer","given":"Jason","email":"jfischer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":765685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qian, Song","contributorId":36400,"corporation":false,"usgs":true,"family":"Qian","given":"Song","affiliations":[],"preferred":false,"id":765686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, Christine M","contributorId":195893,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":765687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263303,"text":"70263303 - 2019 - The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States","interactions":[],"lastModifiedDate":"2025-02-05T14:52:07.78121","indexId":"70263303","displayToPublicDate":"2018-10-31T08:48:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States","docAbstract":"<p><span>The ability to effectively manage water resources to meet present and future human and environmental needs is essential. Such an ability necessitates a comprehensive understanding of hydrologic processes that affect&nbsp;streamflow&nbsp;at a watershed scale. In the United States, water-resources management at scales ranging from local to national can benefit from a nationally consistent, process-based watershed modeling capability to provide the requisite understanding. The National Hydrologic Model (NHM) infrastructure, which was developed by the&nbsp;</span><a class=\"topic-link\" title=\"Learn more about U.S. from ScienceDirect's AI-generated Topic Pages\" href=\"https://www-sciencedirect-com.usgslibrary.idm.oclc.org/topics/earth-and-planetary-sciences/united-states-of-america\" data-mce-href=\"https://www-sciencedirect-com.usgslibrary.idm.oclc.org/topics/earth-and-planetary-sciences/united-states-of-america\">U.S.</a><span>&nbsp;Geological Survey to support coordinated, comprehensive, and consistent&nbsp;hydrologic modeling&nbsp;at multiple scales for the conterminous United States, provides this essential capability. NHM-based applications provide information to enable more effective water-resources planning and management, fill knowledge gaps in ungaged areas, and support basic scientific inquiry. In the future, as process algorithms and data sets improve, the NHM infrastructure will continue to evolve to better support the nation's water-resources research and management needs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.09.023","usgsCitation":"Regan, R.S., Juracek, K.E., Hay, L., Markstrom, S.L., Viger, R.J., Driscoll, J.M., LaFontaine, J.H., and Norton, P.A., 2019, The U. S. Geological Survey National Hydrologic Model infrastructure: Rationale, description, and application of a watershed-scale model for the conterminous United States: Environmental Modelling & Software, v. 111, p. 192-203, https://doi.org/10.1016/j.envsoft.2018.09.023.","productDescription":"12 p.","startPage":"192","endPage":"203","ipdsId":"IP-090180","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":481697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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         48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"111","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":196973,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":926243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":926244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hay, Lauren 0000-0003-3763-4595","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":205020,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":926245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Markstrom, Steven L. 0000-0001-7630-9547 markstro@usgs.gov","orcid":"https://orcid.org/0000-0001-7630-9547","contributorId":146553,"corporation":false,"usgs":true,"family":"Markstrom","given":"Steven","email":"markstro@usgs.gov","middleInitial":"L.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":926246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":926247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":926248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926249,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Norton, Parker A. 0000-0002-4638-2601 pnorton@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-2601","contributorId":2257,"corporation":false,"usgs":true,"family":"Norton","given":"Parker","email":"pnorton@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":926250,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70200688,"text":"70200688 - 2019 - Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska","interactions":[],"lastModifiedDate":"2019-01-28T08:54:03","indexId":"70200688","displayToPublicDate":"2018-10-30T14:21:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Delayed herbivory by migratory geese increases summer‐long CO<i>2</i> uptake in coastal western Alaska","title":"Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska","docAbstract":"<p><span>The advancement of spring and the differential ability of organisms to respond to changes in plant phenology may lead to ‘phenological mismatches’ as a result of climate change. One potential for considerable mismatch is between migratory birds and food availability in northern breeding ranges and these mismatches may have consequences for ecosystem function. We conducted a three‐year experiment to examine the consequences for CO</span><sub>2</sub><span>&nbsp;exchange of advanced spring green‐up and altered timing of grazing by migratory Pacific black brant in a coastal wetland in western Alaska. Experimental treatments represent the variation in green‐up and timing of peak grazing intensity that currently exists in the system. Delayed grazing resulted in greater net ecosystem exchange (NEE) and gross primary productivity (GPP) while early grazing reduced CO</span><sub>2</sub><span>&nbsp;uptake with the potential of causing net ecosystem carbon (C) loss in late spring and early summer. Conversely, advancing the growing season only influenced ecosystem respiration (ER), resulting in a small increase in ER with no concomitant impact on GPP or NEE. The experimental treatment that represents the most likely future, with green‐up advancing more rapidly than arrival of migratory geese, results in NEE changing by 1.2 μmol m</span><sup>−2</sup><span>&nbsp;s</span><sup>−1</sup><span>&nbsp;toward a greater CO</span><sub>2</sub><span>&nbsp;sink in spring and summer. Increased sink strength, however, may be mitigated by early arrival of migratory geese, which would reduce CO</span><sub>2</sub><span>&nbsp;uptake. Importantly, while the direct effect of climate warming on phenology of green‐up has a minimal influence on NEE, the indirect effect of climate warming manifest through changes in the timing of peak grazing can have a significant impact on C balance in northern coastal wetlands. Furthermore, processes influencing the timing of goose migration in the winter range can significantly influence ecosystem function in summer habitats.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14473","usgsCitation":"Leffler, A.J., Beard, K., Kelsey, K.C., Choi, R.T., Schmutz, J.A., and Welker, J.M., 2019, Delayed herbivory by migratory geese increases summer‐long CO2 uptake in coastal western Alaska: Global Change Biology, v. 25, no. 1, p. 277-289, https://doi.org/10.1111/gcb.14473.","productDescription":"13 p.","startPage":"277","endPage":"289","ipdsId":"IP-093758","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":468063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.14473","text":"Publisher Index Page"},{"id":358972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"25","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-18","publicationStatus":"PW","scienceBaseUri":"5c10a902e4b034bf6a7e4eef","contributors":{"authors":[{"text":"Leffler, A. Joshua","contributorId":210187,"corporation":false,"usgs":false,"family":"Leffler","given":"A.","email":"","middleInitial":"Joshua","affiliations":[{"id":38087,"text":"Department of Natural Resource Management, South Dakota State","active":true,"usgs":false}],"preferred":false,"id":750126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beard, Karen H.","contributorId":14296,"corporation":false,"usgs":true,"family":"Beard","given":"Karen H.","affiliations":[],"preferred":false,"id":750127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelsey, Katharine C.","contributorId":195397,"corporation":false,"usgs":false,"family":"Kelsey","given":"Katharine","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":750128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Ryan T.","contributorId":205936,"corporation":false,"usgs":false,"family":"Choi","given":"Ryan","email":"","middleInitial":"T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":750129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","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":750125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Welker, Jeffery M.","contributorId":43654,"corporation":false,"usgs":true,"family":"Welker","given":"Jeffery","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":750130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70200751,"text":"70200751 - 2019 - Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands","interactions":[],"lastModifiedDate":"2018-10-31T13:28:37","indexId":"70200751","displayToPublicDate":"2018-10-30T12:35:34","publicationYear":"2019","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":"Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands","docAbstract":"<p><span>Establishing the connectivity among depressional wetlands is important for their proper&nbsp;management, conservation&nbsp;and restoration. In this study, the concentrations of 38 elements in surface water and porewater of depressional wetlands were investigated to determine chemical and hydrological connectivity of three hydrological types: recharge, flow-through, and discharge, in the&nbsp;Prairie&nbsp;Pothole Region of North America. Most element concentrations of porewater varied significantly by wetland hydrologic type (</span><i>p</i><span> &lt; 0.05), and increased along a recharge to discharge hydrologic gradient. Significant spatial variation of element concentrations in surface water was observed in discharge wetlands. Generally, higher element concentrations occurred in natural wetlands compared to wetlands with known disturbances (previous drainage and grazing). Electrical conductivity explained 42.3% and 30.5% of the variation of all element concentrations in porewater and surface water. Non-metric multidimensional scaling analysis showed that the similarity decreased from recharge to flow-through to discharge wetland in each sampling site.&nbsp;Cluster analysis&nbsp;confirmed that element compositions in porewater of interconnected wetlands were more similar to each other than to those of wetlands located farther away. Porewater and surface water in a restored wetland showed similar multi-element characteristics to natural wetlands. In contrast, depressional wetlands connected by seeps along a deactivated&nbsp;drain-tile&nbsp;path and a grazed wetland showed distinctly different multi-element characteristics compared to other wetlands sampled. Our findings confirm that the multi-element fingerprinting method can be useful for assessing hydro-chemical connectivity across the landscape, and indicate that element concentrations are not only affected by land use, but also by hydrological characteristics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2018.10.033","usgsCitation":"Yuan, Y., Zhu, X., Mushet, D.M., and Otte, M.L., 2019, Multi-element fingerprinting of waters to evaluate connectivity among depressional wetlands: Ecological Indicators, v. 97, p. 398-409, https://doi.org/10.1016/j.ecolind.2018.10.033.","productDescription":"12 p.","startPage":"398","endPage":"409","ipdsId":"IP-099304","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":359029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100,\n              46\n            ],\n            [\n              -98,\n              46\n            ],\n            [\n              -98,\n              48\n            ],\n            [\n              -100,\n              48\n            ],\n            [\n              -100,\n              46\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}\n","volume":"97","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dae4b034bf6a7e4d7d","contributors":{"authors":[{"text":"Yuan, Yuxiang","contributorId":210282,"corporation":false,"usgs":false,"family":"Yuan","given":"Yuxiang","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Xiaoyan","contributorId":210283,"corporation":false,"usgs":false,"family":"Zhu","given":"Xiaoyan","email":"","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":750366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otte, Marinus L.","contributorId":210284,"corporation":false,"usgs":false,"family":"Otte","given":"Marinus","email":"","middleInitial":"L.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":750369,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70200853,"text":"70200853 - 2019 - Stable isotope analysis enhances our understanding of diamondback terrapin Malaclemys terrapin foraging ecology","interactions":[],"lastModifiedDate":"2019-02-11T15:06:16","indexId":"70200853","displayToPublicDate":"2018-10-30T10:10:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Stable isotope analysis enhances our understanding of diamondback terrapin <i>Malaclemys terrapin</i> foraging ecology","title":"Stable isotope analysis enhances our understanding of diamondback terrapin Malaclemys terrapin foraging ecology","docAbstract":"<p><span>Dietary studies on generalist predators may provide valuable information on spatial or temporal changes in the structure of ecological communities. We initiated this study to provide baseline data and determine the utility of stable isotope analysis (SIA) to evaluate the foraging strategies of an opportunistic reptilian predator, the diamondback terrapin (</span><i class=\"EmphasisTypeItalic \">Malaclemys terrapin</i><span>), which specializes in salt marshes and mangrove estuaries along the Atlantic and Gulf coasts. We evaluated stable carbon (δ</span><sup>13</sup><span>C) and nitrogen (δ</span><sup>15</sup><span>N) isotope values of multiple tissues from terrapins inhabiting mainland and island mangrove habitats in south Florida and potential food sources to examine spatial and temporal variations in terrapin resource use. We fit linear regression models to determine the best predictors of isotopic values for both terrapins and their prey, and Stable Isotope Bayesian Ellipses in R (SIBER) analysis to examine terrapin isotopic niche space and overlap between groups. We identified differences in terrapin isotopic δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N values among all sites. Blood and scute tissues revealed different isotopic compositions and niche overlap between sites, suggesting diets or foraging locations may change over time, and amount of variation is site specific. Niche overlap between size classes was larger for blood (short term) versus scute (long term), suggesting greater variability in food habits or resource isotopes over the long term versus short term. These results demonstrate the usefulness of SIA in examining the spatial and temporal variability in diamondback terrapin resource use within estuary systems and further define their niche within these dynamic food webs.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-018-0476-6","usgsCitation":"Denton, M.J., Demopoulos, A.W., Baldwin, J.D., Smith, B., and Hart, K.M., 2019, Stable isotope analysis enhances our understanding of diamondback terrapin Malaclemys terrapin foraging ecology: Estuaries and Coasts, v. 42, no. 2, p. 596-611, https://doi.org/10.1007/s12237-018-0476-6.","productDescription":"16 p.","startPage":"596","endPage":"611","ipdsId":"IP-091296","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468064,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-018-0476-6","text":"Publisher Index Page"},{"id":437621,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Z89BK7","text":"USGS data release","linkHelpText":"Stable isotope ratios of carbon and nitrogen from diamondback terrapins and resources within Southern Everglades and Key West National Wildlife Refuge, sampled 2012-2013"},{"id":359277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-30","publicationStatus":"PW","scienceBaseUri":"5be40822e4b0b3fc5cf7cc04","contributors":{"authors":[{"text":"Denton, Mathew J. 0000-0002-1024-3722 mdenton@usgs.gov","orcid":"https://orcid.org/0000-0002-1024-3722","contributorId":4862,"corporation":false,"usgs":true,"family":"Denton","given":"Mathew","email":"mdenton@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":750903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":750904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, John D.","contributorId":210505,"corporation":false,"usgs":false,"family":"Baldwin","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":750888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Brian 0000-0002-0531-0492 bjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":202305,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","email":"bjsmith@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":750902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen M. 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":210506,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":750889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216100,"text":"70216100 - 2019 - Reproductive potential of captive Rio Grande Silvery Minnow","interactions":[],"lastModifiedDate":"2020-11-04T16:29:35.810631","indexId":"70216100","displayToPublicDate":"2018-10-29T10:18:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive potential of captive Rio Grande Silvery Minnow","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Captive propagation and augmentation of the Rio Grande Silvery Minnow<span>&nbsp;</span><i>Hybognathus amarus</i><span>&nbsp;</span>is necessary for continued persistence of the species until habitat can be restored. Augmentation occurs using captive fish within the first year (age 0) through age 2; however, older year‐classes (ages 3–4) have been released into the wild. We quantified fecundity and compared egg quality across four reproductive age‐classes (1–4) of hatchery‐reared Rio Grande Silvery Minnow. Batch fecundity (total number of spawned eggs) ranged from 2,029 eggs in age‐1 fish to 10,588 eggs in age‐4 fish. Standing stock of vitellogenic (i.e., yolked) oocytes remaining in ovaries after spawning increased from 988 oocytes at age 1 to 4,924 oocytes at age 4. Total fecundity (i.e., batch fecundity plus standing stock of yolked oocytes) increased from 3,017 eggs and yolked oocytes in age‐1 fish to 15,522 eggs and yolked oocytes in age‐4 fish. Of note, batch fecundity ranged from 57% to 68% across the four age‐classes indicating that over half of the total fecundity occurs in the first spawn. Average percent fertilization of eggs (63–82%) was not detectably different across the four age‐classes, while average egg diameter (4.1–5.5&nbsp;mm) increased as age increased. Fecundity increased across all four reproductive age‐classes of Rio Grande Silvery Minnow, with the larger portion of total fecundity occurring in the first spawn across all age‐classes. The timing of spawning with optimal conditions in the Rio Grande is critical for survival and ultimately recruitment into the wild fish population.</p></div></div></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/naaq.10068","usgsCitation":"Caldwell, C.A., Falco, H., Knight, W., Ulibarri, M., and Gould, W., 2019, Reproductive potential of captive Rio Grande Silvery Minnow: North American Journal of Aquaculture, v. 81, no. 1, p. 47-54, https://doi.org/10.1002/naaq.10068.","productDescription":"8 p.","startPage":"47","endPage":"54","ipdsId":"IP-092874","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":380126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":804086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falco, Hunter","contributorId":244513,"corporation":false,"usgs":false,"family":"Falco","given":"Hunter","email":"","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":804087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, William","contributorId":244514,"corporation":false,"usgs":false,"family":"Knight","given":"William","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":804088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ulibarri, Manuel","contributorId":244515,"corporation":false,"usgs":false,"family":"Ulibarri","given":"Manuel","email":"","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":804089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gould, William R.","contributorId":244516,"corporation":false,"usgs":false,"family":"Gould","given":"William R.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":804090,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}