{"pageNumber":"306","pageRowStart":"7625","pageSize":"25","recordCount":41074,"records":[{"id":70222079,"text":"70222079 - 2020 - Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density","interactions":[],"lastModifiedDate":"2021-07-20T11:43:16.251262","indexId":"70222079","displayToPublicDate":"2019-12-19T10:49:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5508,"text":"Journal of Raman Spectroscopy","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shift in the Raman symmetric stretching band of N<sub>2</sub>, CO<sub>2</sub>, and CH<sub>4</sub> as a function of temperature, pressure, and density","title":"Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density","docAbstract":"<p><span>The Raman spectra of pure N</span><sub>2</sub><span>, CO</span><sub>2</sub><span>, and CH</span><sub>4</sub><span>&nbsp;were analyzed over the range 10 to 500 bars and from −160°C to 200°C (N</span><sub>2</sub><span>), 22°C to 350°C (CO</span><sub>2</sub><span>), and −100°C to 450°C (CH</span><sub>4</sub><span>). At constant temperature, Raman peak position, including the more intense CO</span><sub>2</sub><span>&nbsp;peak (</span><i>ν</i><span>+), decreases (shifts to lower wave number) with increasing pressure for all three gases over the entire pressure and temperature (</span><i>PT</i><span>) range studied. At constant pressure, the peak position for CO</span><sub>2</sub><span>&nbsp;and CH</span><sub>4</sub><span>&nbsp;increases (shifts to higher wave number) with increasing temperature over the entire&nbsp;</span><i>PT</i><span>&nbsp;range studied. In contrast, N</span><sub>2</sub><span>&nbsp;first shows an increase in peak position with increasing temperature at constant pressure, followed by a decrease in peak position with increasing temperature. The inflection temperature at which the trend reverses for N</span><sub>2</sub><span>&nbsp;is located between 0°C and 50°C at pressures above ~50 bars and is pressure dependent. Below ~50 bars, the inflection temperature was observed as low as −120°C. The shifts in Raman peak positions with&nbsp;</span><i>PT</i><span>&nbsp;are related to relative density changes, which reflect changes in intermolecular attraction and repulsion. A conceptual model relating the Raman spectral properties of N</span><sub>2</sub><span>, CO</span><sub>2</sub><span>, and CH</span><sub>4</sub><span>&nbsp;to relative density (volume) changes and attractive and repulsive forces is presented here. Additionally, reduced temperature-dependent densimeters and barometers are presented for each pure component over the respective&nbsp;</span><i>PT</i><span>&nbsp;ranges. The Raman spectral behavior of the pure gases as a function of temperature and pressure is assessed to provide a framework for understanding the behavior of each component in multicomponent N</span><sub>2</sub><span>-CO</span><sub>2</sub><span>-CH</span><sub>4</sub><span>&nbsp;gas systems in a future study.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jrs.5805","usgsCitation":"Sublett, D.M., Sendula, E., Lamadrid, H., Steele-MacInnis, M., Spiekermann, G., Burruss, R., and Bodnar, R., 2020, Shift in the Raman symmetric stretching band of N2, CO2, and CH4 as a function of temperature, pressure, and density: Journal of Raman Spectroscopy, v. 51, no. 3, p. 555-568, https://doi.org/10.1002/jrs.5805.","productDescription":"14 p.","startPage":"555","endPage":"568","ipdsId":"IP-111317","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jrs.5805","text":"Publisher Index Page"},{"id":387232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sublett, D. Matthew","contributorId":261188,"corporation":false,"usgs":false,"family":"Sublett","given":"D.","email":"","middleInitial":"Matthew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sendula, Eszter","contributorId":261189,"corporation":false,"usgs":false,"family":"Sendula","given":"Eszter","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamadrid, Hector","contributorId":261190,"corporation":false,"usgs":false,"family":"Lamadrid","given":"Hector","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":819451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steele-MacInnis, Matthew","contributorId":261191,"corporation":false,"usgs":false,"family":"Steele-MacInnis","given":"Matthew","email":"","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":819452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spiekermann, Georg","contributorId":261192,"corporation":false,"usgs":false,"family":"Spiekermann","given":"Georg","email":"","affiliations":[{"id":52768,"text":". Institut für Geowissenschaften, Universität Potsdam","active":true,"usgs":false}],"preferred":false,"id":819453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burruss, Robert 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":146833,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bodnar, Robert J.","contributorId":261193,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":819455,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215091,"text":"70215091 - 2020 - The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA","interactions":[],"lastModifiedDate":"2020-10-08T13:35:36.883808","indexId":"70215091","displayToPublicDate":"2019-12-19T08:28:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA","docAbstract":"<p><span>Recent work has suggested that a tradeoff exists between habitat area and habitat heterogeneity, with a moderate amount of heterogeneity supporting greatest species richness. Support for this unimodal relationship has been mixed and has differed among habitats and taxa. We examined the relationship between habitat heterogeneity and species richness after accounting for habitat area in glacially formed wetlands in the Prairie Pothole Region in the United States at both local and landscape scales. We tested for area–habitat heterogeneity tradeoffs in wetland bird species richness, the richness of groups of similar species, and in species’ abundances. We then identified the habitat relationships for individual species and the relative importance of wetland area vs. habitat heterogeneity and other wetland characteristics. We found that habitat area was the primary driver of species richness and abundance. Additional variation in richness and abundance could be explained by habitat heterogeneity or other wetland and landscape characteristics. Overall avian species richness responded unimodally to habitat heterogeneity, suggesting an area–heterogeneity tradeoff. Group richness and abundance metrics showed either unimodal or linear relationships with habitat heterogeneity. Habitat heterogeneity indices at local and landscape scales were important for some, but not all, species and avian groups. Both abundance of individual species and species richness of most avian groups were higher on publicly owned wetlands than on privately owned wetlands, on restored wetlands than natural wetlands, and on permanent wetlands than on wetlands of other classes. However, we found that all wetlands examined, regardless of ownership, restoration status, and wetland class, supported wetland-obligate birds. Thus, protection of all wetland types contributes to species conservation. Our results support conventional wisdom that protection of large wetlands is a priority but also indicate that maintaining habitat heterogeneity will enhance biodiversity and support higher populations of individual species.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1093/condor/duz060","usgsCitation":"Elliott, L.H., Igl, L., and Johnson, D., 2020, The relative importance of wetland area versus habitat heterogeneity for promoting species richness and abundance of wetland birds in the Prairie Pothole Region, USA: The Condor, v. 122, no. 1, duz060, 21 p., https://doi.org/10.1093/condor/duz060.","productDescription":"duz060, 21 p.","ipdsId":"IP-100551","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/condor/duz060","text":"Publisher Index Page"},{"id":379225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.448974609375,\n              42.48830197960227\n            ],\n            [\n              -96.602783203125,\n              42.76314586689492\n            ],\n            [\n              -96.448974609375,\n              43.197167282501276\n            ],\n            [\n              -96.5478515625,\n              43.39706523932025\n            ],\n            [\n              -96.580810546875,\n              43.48481212891603\n            ],\n            [\n              -96.470947265625,\n      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-96.50390625,\n              42.48830197960227\n            ],\n            [\n              -96.448974609375,\n              42.48830197960227\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, Lisa H.","contributorId":199322,"corporation":false,"usgs":false,"family":"Elliott","given":"Lisa","email":"","middleInitial":"H.","affiliations":[{"id":7201,"text":"University of Minnesota-St. Paul","active":true,"usgs":false}],"preferred":false,"id":800773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":218901,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":223588,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":800775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227481,"text":"70227481 - 2020 - Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska","interactions":[],"lastModifiedDate":"2022-01-19T12:50:27.021336","indexId":"70227481","displayToPublicDate":"2019-12-19T06:45:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Context</h3><p>The Rainwater Basin in south-central Nebraska once supported a complex network of ~ 12,000 spatially-isolated playa wetlands, but ~ 90% have been lost since European settlement. Future losses are likely and expected reductions in connectivity could further isolate populations, increasing local extinction rates of many wetland species. However, to what extent future losses will affect wildlife likely depends on the role of lost wetlands in maintaining connectivity.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Objectives</h3><p>We compared the current Rainwater Basin network to future wetland loss scenarios to assess minimum, mean, and maximum effects of losses on network connectivity for a range of wildlife taxa.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Methods</h3><p>We used network models to rank wetlands by their functionality and relative importance in maintaining connectivity. We then removed 10–50% of high-ranked, low-ranked, or random subsets of wetlands and assessed connectivity of the remaining network.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>A 10% loss of highly-ranked wetlands substantially decreased connectivity for species with dispersal capabilities &lt; 5.5&nbsp;km, while a 40–50% loss reduced connectivity for all tested dispersal distances (0.5–12.0&nbsp;km). When large proportions of highly-ranked wetlands were lost, the eastern and western halves of the Rainwater Basin network were no longer connected for any dispersal distance. Loss of low-ranked wetlands had minimal effects on network connectivity, until at least the lowest-ranked 50% were removed.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Many highly-ranked playa wetlands in the Rainwater Basin are currently unprotected and might disappear from the landscape. Protecting wetlands that are key in maintaining connectivity especially benefits species with limited dispersal capabilities (&lt; 5.5&nbsp;km) for which consequences of future habitat losses might be worst.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00958-w","usgsCitation":"Verheijen, B.H., Varner, D.M., and Haukos, D.A., 2020, Future losses of playa wetlands decrease network structure and connectivity of the Rainwater Basin, Nebraska: Landscape Ecology, v. 35, p. 453-467, https://doi.org/10.1007/s10980-019-00958-w.","productDescription":"15 p.","startPage":"453","endPage":"467","ipdsId":"IP-108305","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.4482421875,\n              40.07807142745009\n            ],\n            [\n              -96.0205078125,\n              40.07807142745009\n            ],\n            [\n              -96.0205078125,\n              41.409775832009565\n            ],\n            [\n              -99.4482421875,\n              41.409775832009565\n            ],\n            [\n              -99.4482421875,\n              40.07807142745009\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Verheijen, Bram H.F.","contributorId":271195,"corporation":false,"usgs":false,"family":"Verheijen","given":"Bram","email":"","middleInitial":"H.F.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":831140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varner, Dana M.","contributorId":271196,"corporation":false,"usgs":false,"family":"Varner","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":40582,"text":"Rainwater Basin Joint Venture","active":true,"usgs":false}],"preferred":false,"id":831141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831142,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70207990,"text":"70207990 - 2020 - Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data","interactions":[],"lastModifiedDate":"2020-01-23T06:35:11","indexId":"70207990","displayToPublicDate":"2019-12-19T06:33:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data","docAbstract":"Exploring age- and sex-specific survival rates provides insight regarding population behavior  and life-history trait evolution, but many population studies exclude males. Accordingly, our  understanding of how age-specific patterns of survival, including actuarial senescence, compare  between the sexes remains inadequate. Using 35 years of mark-recapture data for 7,516 male  Weddell seals (Leptonychotes weddellii) born in Erebus Bay, Antarctica, we estimated age-  specific annual survival rates using a hierarchical model for mark-recapture data in a Bayesian  framework. Our male survival estimates were moderate for pups and yearlings, highest for 2-  year-olds, and gradually declined with age thereafter such that the oldest animals observed had  the lowest rates of any age. Reports of senescence in other wildlife populations of species with  similar longevity occurred at older ages than those presented here. When compared to recently  published estimates for reproductive Weddell seal females, we found that peak survival rates  were similar (males: 0.94, 95% CI = 0.92-0.96; females: 0.92, 95% CI = 0.93-0.95), but rates  declined more rapidly in males. Costs of reproduction for males seem to exceed costs incurred  by females, but age-specific reproductive data for males are necessary to fully evaluate survival-  reproduction tradeoffs in males. Similar studies on a broad range of species are needed to  contextualize these results for a better understanding of the variation in senescence patterns  between the sexes of the same species, but our study adds information for a marine mammal  species to a research topic dominated by avian and ungulate species.","language":"English","publisher":"Wiley","doi":"10.1002/1438-390X.12036","usgsCitation":"Brusa, J.L., Rotella, J.J., Garrott, R.A., Paterson, J.T., and Link, W., 2020, Variation of annual apparent survival and detection rates with age, year, and individual identity in male Weddell seals (Leptonychotes weddellii) from long-term mark-recapture data: Population Ecology, v. 62, no. 1, p. 134-150, https://doi.org/10.1002/1438-390X.12036.","productDescription":"17 p.","startPage":"134","endPage":"150","ipdsId":"IP-111162","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":371490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Brusa, Jamie L.","contributorId":221719,"corporation":false,"usgs":false,"family":"Brusa","given":"Jamie","email":"","middleInitial":"L.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":780052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rotella, Jay J.","contributorId":37271,"corporation":false,"usgs":false,"family":"Rotella","given":"Jay","email":"","middleInitial":"J.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":780053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":780054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paterson, J. Terrill","contributorId":206296,"corporation":false,"usgs":false,"family":"Paterson","given":"J.","email":"","middleInitial":"Terrill","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":780055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, William 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":221718,"corporation":false,"usgs":true,"family":"Link","given":"William","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207414,"text":"70207414 - 2020 - Simulation of post-hurricane impact on invasive species with biological control management","interactions":[],"lastModifiedDate":"2020-03-11T14:24:23","indexId":"70207414","displayToPublicDate":"2019-12-18T14:57:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5881,"text":"Discrete & Continuous Dynamical Systems-A","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of post-hurricane impact on invasive species with biological control management","docAbstract":"<p><span>Understanding the effects of hurricanes and other large storms on ecological communities and the post-event recovery in these communities can guide management and ecosystem restoration. This is particularly important for communities impacted by invasive species, as the hurricane may affect control efforts. Here we consider the effect of a hurricane on tree communities in southern Florida that has been invaded by&nbsp;</span><i>Melaleuca quinquevervia</i><span>&nbsp;(melaleuca), an invasive Australian tree. Biological control agents were introduced starting in the 1990s and are reducing melaleuca in habitats where they are established. We used size-structured matrix modeling as a tool to project the continued possible additional effects of a hurricane on a pure stand of melaleuca that already had some level of biological control. The model results indicate that biological control could suppress or eliminate melaleuca within decades. A hurricane that does severe damage to the stand may accelerate the trend toward elimination of melaleuca with both strong and moderate biological control. However, if the biological control is weak, the stand is resilient to all but extremely severe hurricane damage. Although only a pure melaleuca stand was simulated in this study, other plants, such as natives, are likely to accelerate the decline of melaleuca due to competition. Our model provides a new tool to simulate post-hurricanes effect on invasive species and highlights the essential role that biological control has played on invasive species management.</span></p>","language":"English","publisher":"American Institute of Mathematical Sciences","doi":"10.3934/dcds.2020038","usgsCitation":"Xu, L., Zdechlik, M.C., Smith, M.C., Rayamajhi, M.B., DeAngelis, D., and Zhang, B., 2020, Simulation of post-hurricane impact on invasive species with biological control management: Discrete & Continuous Dynamical Systems-A, v. 40, no. 6, p. 4059-4071, https://doi.org/10.3934/dcds.2020038.","productDescription":"13 p.","startPage":"4059","endPage":"4071","ipdsId":"IP-100870","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458343,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/dcds.2020038","text":"Publisher Index Page"},{"id":370514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.96875,\n              24.5271348225978\n            ],\n            [\n              -79.8486328125,\n              24.5271348225978\n            ],\n            [\n              -79.8486328125,\n              28.304380682962783\n            ],\n            [\n              -82.96875,\n              28.304380682962783\n            ],\n            [\n              -82.96875,\n              24.5271348225978\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Linhao","contributorId":221358,"corporation":false,"usgs":false,"family":"Xu","given":"Linhao","email":"","affiliations":[{"id":40353,"text":"Co-Innovation Center for Sustainable Forestry in Southern China, Jiangsu Province Key","active":true,"usgs":false}],"preferred":false,"id":777925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zdechlik, Marya Claire","contributorId":221359,"corporation":false,"usgs":false,"family":"Zdechlik","given":"Marya","email":"","middleInitial":"Claire","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":777926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Melissa C.","contributorId":221360,"corporation":false,"usgs":false,"family":"Smith","given":"Melissa","email":"","middleInitial":"C.","affiliations":[{"id":40354,"text":"USDA-ARS Invasive Plant Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":777927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rayamajhi, Min B.","contributorId":191306,"corporation":false,"usgs":false,"family":"Rayamajhi","given":"Min","email":"","middleInitial":"B.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":777928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":777924,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":777929,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70218766,"text":"70218766 - 2020 - Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","interactions":[],"lastModifiedDate":"2021-03-12T14:30:22.076149","indexId":"70218766","displayToPublicDate":"2019-12-18T08:10:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">An interlaboratory study (ILS) was conducted to test reproducibility of vitrinite and solid bitumen reflectance measurements in six mudrock samples from United States unconventional source-rock reservoir petroleum systems. Samples selected from the Marcellus, Haynesville, Eagle Ford, Barnett, Bakken and Woodford are representative of resource plays currently under exploitation in North America. All samples are from marine depositional environments, are thermally mature (T<sub>max</sub><span>&nbsp;</span>&gt;445&nbsp;°C) and have moderate to high organic matter content (2.9–11.6&nbsp;wt% TOC). Their organic matter is dominated by solid bitumen, which contains intraparticle nano-porosity. Visual evaluation of organic nano-porosity (pore sizes&nbsp;&lt;&nbsp;100&nbsp;nm) via SEM suggests that intraparticle organic nano-pores are most abundant in dry gas maturity samples and less abundant at lower wet gas/condensate and peak oil maturities. Samples were distributed to ILS participants in forty laboratories in the Americas, Europe, Africa and Australia; thirty-seven independent sets of results were received. Mean vitrinite reflectance (VR<sub>o</sub>) values from all ILS participants range from 0.90 to 1.83% whereas mean solid bitumen reflectance (BR<sub>o</sub>) values range from 0.85 to 2.04% (no outlying values excluded), confirming the thermally mature nature of all six samples. Using multiple statistical approaches to eliminate outlying values, we evaluated reproducibility limit R, the maximum difference between valid mean reflectance results obtained on the same sample by different operators in different laboratories using different instruments. Removal of outlying values where the individual signed multiple of standard deviation was &gt;1.0 produced lowest R values, generally ≤0.5% (absolute reflectance), similar to a prior ILS for similar samples. Other traditional approaches to outlier removal (outside mean&nbsp;±&nbsp;1.5*interquartile range and outside F10 to F90 percentile range) also produced similar R values. Standard deviation values&nbsp;&lt;&nbsp;0.15*(VR<sub>o</sub><span>&nbsp;</span>or BR<sub>o</sub>) reduce R and should be a requirement of dispersed organic matter reflectance analysis. After outlier removal, R values were 0.1%–0.2% for peak oil thermal maturity, about 0.3% for wet gas/condensate maturity and 0.4%–0.5% for dry gas maturity. That is, these R values represent the uncertainty (in absolute reflectance) that users of vitrinite and solid bitumen reflectance data should assign to any one individual reported mean reflectance value from a similar thermal maturity mudrock sample. R values of this magnitude indicate a need for further standardization of reflectance measurement of dispersed organic matter. Furthermore, these R values quantify realistic interlaboratory measurement dispersion for a difficult but critically important analytical technique necessary for thermal maturity determination in the source-rock reservoirs of unconventional petroleum systems.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2019.104172","usgsCitation":"Hackley, P.C., Araujo, C., Borrego, A.G., Bouzinos, A., Cardott, B.J., Carvajal-Ortiz, H., Rocio Lopez Cely, M., Chabalala, V., Crosdale, P.J., Demchuk, T.D., Eble, C.F., Flores, D., Furmann, A., Gentzis, T., Goncalves, P., Guvad, C., Hamor-Vido, M., Jelonek, I., Johnston, M., Juliao-Lemus, T., Kalaitzidis, S., Knowles, W., Kus, J., Li, Z., Macleod, G., Mastalerz, M., Rego Menezes, T., Ocubalidet, S., Orban, R., Pickel, W., Ranasinghe, P., Ribeiro, J., Gomez Rojas, O.P., Ruiz-Monroy, R., Schmidt, J., Seyedolali, A., Siavalas, G., Suarez-Ruiz, I., Vargas, C.V., Valentine, B.J., Wagner, N., Wrolson, B., and Jaramillo Zapata, J.E., 2020, Testing reproducibility of vitrinite and solid bitumen reflectance measurements in North American unconventional source-rock reservoir petroleum systems: Marine and Petroleum Geology, v. 114, 104172, 17 p., https://doi.org/10.1016/j.marpetgeo.2019.104172.","productDescription":"104172, 17 p.","ipdsId":"IP-108878","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":458350,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/1375","text":"Publisher Index Page"},{"id":384351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":811751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Araujo, Carla V.","contributorId":255077,"corporation":false,"usgs":false,"family":"Araujo","given":"Carla V.","affiliations":[{"id":51408,"text":"Petrobras R&D Center, Brazil","active":true,"usgs":false}],"preferred":false,"id":811752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borrego, Angeles G.","contributorId":255080,"corporation":false,"usgs":false,"family":"Borrego","given":"Angeles","email":"","middleInitial":"G.","affiliations":[{"id":51413,"text":"Instituto Nacional del Carbon, Spain","active":true,"usgs":false}],"preferred":false,"id":812007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouzinos, Antonis","contributorId":255078,"corporation":false,"usgs":false,"family":"Bouzinos","given":"Antonis","affiliations":[{"id":51410,"text":"Measured Group Pty Ltd, Australia","active":true,"usgs":false}],"preferred":false,"id":812008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cardott, Brian J.","contributorId":255079,"corporation":false,"usgs":false,"family":"Cardott","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":51412,"text":"Oklahoma Geological Survey, USA","active":true,"usgs":false}],"preferred":false,"id":812009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carvajal-Ortiz, H.","contributorId":243150,"corporation":false,"usgs":false,"family":"Carvajal-Ortiz","given":"H.","affiliations":[{"id":39779,"text":"Core 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Wayne","contributorId":91036,"corporation":false,"usgs":true,"family":"Knowles","given":"Wayne","email":"","affiliations":[],"preferred":false,"id":812026,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kus, Jolanta","contributorId":42893,"corporation":false,"usgs":true,"family":"Kus","given":"Jolanta","email":"","affiliations":[],"preferred":false,"id":812027,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Li, Zhongsheng","contributorId":255250,"corporation":false,"usgs":false,"family":"Li","given":"Zhongsheng","email":"","affiliations":[],"preferred":false,"id":812028,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Macleod, Gordon","contributorId":255251,"corporation":false,"usgs":false,"family":"Macleod","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":812029,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Mastalerz, Maria","contributorId":105788,"corporation":false,"usgs":false,"family":"Mastalerz","given":"Maria","affiliations":[{"id":17608,"text":"Indiana Univesity","active":true,"usgs":false}],"preferred":false,"id":812030,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Rego Menezes, Taissa","contributorId":174248,"corporation":false,"usgs":false,"family":"Rego Menezes","given":"Taissa","email":"","affiliations":[],"preferred":false,"id":812031,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Ocubalidet, Seare","contributorId":255252,"corporation":false,"usgs":false,"family":"Ocubalidet","given":"Seare","email":"","affiliations":[],"preferred":false,"id":812032,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Orban, Richard","contributorId":255253,"corporation":false,"usgs":false,"family":"Orban","given":"Richard","email":"","affiliations":[],"preferred":false,"id":812033,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Pickel, Walter","contributorId":24705,"corporation":false,"usgs":true,"family":"Pickel","given":"Walter","email":"","affiliations":[],"preferred":false,"id":812034,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Ranasinghe, Paddy","contributorId":9981,"corporation":false,"usgs":true,"family":"Ranasinghe","given":"Paddy","email":"","affiliations":[],"preferred":false,"id":812035,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Ribeiro, Joana","contributorId":255254,"corporation":false,"usgs":false,"family":"Ribeiro","given":"Joana","email":"","affiliations":[],"preferred":false,"id":812036,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Gomez Rojas, Olga Patricia","contributorId":255255,"corporation":false,"usgs":false,"family":"Gomez Rojas","given":"Olga","email":"","middleInitial":"Patricia","affiliations":[],"preferred":false,"id":812037,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Ruiz-Monroy, Ricardo","contributorId":255256,"corporation":false,"usgs":false,"family":"Ruiz-Monroy","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":812038,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Schmidt, Jaques","contributorId":255257,"corporation":false,"usgs":false,"family":"Schmidt","given":"Jaques","email":"","affiliations":[],"preferred":false,"id":812039,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Seyedolali, Abbas","contributorId":255261,"corporation":false,"usgs":false,"family":"Seyedolali","given":"Abbas","email":"","affiliations":[],"preferred":false,"id":812040,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Siavalas, Georgios","contributorId":255260,"corporation":false,"usgs":false,"family":"Siavalas","given":"Georgios","email":"","affiliations":[],"preferred":false,"id":812041,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Suarez-Ruiz, Isabel","contributorId":75072,"corporation":false,"usgs":true,"family":"Suarez-Ruiz","given":"Isabel","affiliations":[],"preferred":false,"id":812042,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Vargas, Carlos Vargas","contributorId":255262,"corporation":false,"usgs":false,"family":"Vargas","given":"Carlos","email":"","middleInitial":"Vargas","affiliations":[],"preferred":false,"id":812043,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812044,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Wagner, 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,{"id":70219115,"text":"70219115 - 2020 - Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","interactions":[],"lastModifiedDate":"2021-03-24T12:30:48.087213","indexId":"70219115","displayToPublicDate":"2019-12-16T07:29:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5279,"text":"Special Publications","onlineIssn":"0149-1768","active":true,"publicationSubtype":{"id":10}},"title":"Fault fictions: Systematic biases in the conceptualization of fault-zone architecture","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-1\">Mental models are a human's internal representation of the real world and have an important role in the way we understand and reason about uncertainties, explore potential options and make decisions. Mental models have not yet received much attention in geosciences, yet systematic biases can affect any geological investigation: from how the problem is conceived, through selection of appropriate hypotheses and data collection/processing methods, to the conceptualization and communication of results. We draw on findings from cognitive science and system dynamics, with knowledge and experiences of field geology, to consider the limitations and biases presented by mental models in geoscience, and their effect on predictions of the physical properties of faults in particular. We highlight biases specific to geological investigations and propose strategies for debiasing. Doing so will enhance how multiple data sources can be brought together, and minimize controllable geological uncertainty to develop more robust geological models. Critically, there is a need for standardized procedures that guard against biases, permitting data from multiple studies to be combined and communication of assumptions to be made. While we use faults to illustrate potential biases in mental models and the implications of these biases, our findings can be applied across the geosciences.</p></div>","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP496-2018-161","usgsCitation":"Shipton, Z.K., Roberts, J.J., L, C.E., Kremer, Y., Lunn, R.J., and Caine, J., 2020, Fault fictions: Systematic biases in the conceptualization of fault-zone architecture: Special Publications, v. 496, p. 125-143, https://doi.org/10.1144/SP496-2018-161.","productDescription":"19 p.","startPage":"125","endPage":"143","ipdsId":"IP-101941","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":458358,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://strathprints.strath.ac.uk/view/author/742207.html>","text":"External Repository"},{"id":384631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"496","noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Shipton, Zoe K 0000-0002-2268-7750","orcid":"https://orcid.org/0000-0002-2268-7750","contributorId":255721,"corporation":false,"usgs":false,"family":"Shipton","given":"Zoe","email":"","middleInitial":"K","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jennifer J","contributorId":255722,"corporation":false,"usgs":false,"family":"Roberts","given":"Jennifer","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"L, Comrie Emma","contributorId":255723,"corporation":false,"usgs":false,"family":"L","given":"Comrie","email":"","middleInitial":"Emma","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kremer, Yannick","contributorId":255724,"corporation":false,"usgs":false,"family":"Kremer","given":"Yannick","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lunn, Rebecca J","contributorId":255725,"corporation":false,"usgs":false,"family":"Lunn","given":"Rebecca","email":"","middleInitial":"J","affiliations":[{"id":51656,"text":"University of Strathclyde","active":true,"usgs":false}],"preferred":false,"id":812831,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":812832,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208560,"text":"70208560 - 2020 - UAV-derived estimates of forest structure to inform ponderosa pine forest restoration","interactions":[],"lastModifiedDate":"2020-06-19T16:23:52.408024","indexId":"70208560","displayToPublicDate":"2019-12-16T06:54:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"UAV-derived estimates of forest structure to inform ponderosa pine forest restoration","docAbstract":"<p><span>Restoring forest ecosystems has become an increasingly high priority for land managers across the American West. Millions of hectares of forest are in need of drastic yet strategic reductions in density (e.g., basal area). Meeting the restoration and management goals requires quantifying metrics of vertical and horizontal forest structure, which has relied upon field‐based measurements, manned airborne or satellite remote sensing datasets. We used unmanned aerial vehicle (UAV ) image‐derived Structure‐from‐Motion (SfM) models and high‐resolution multispectral orthoimagery in this study to quantify vertical and horizontal forest structure at both the fine‐ (&lt;4&nbsp;ha) and mid‐scales (4–400&nbsp;ha) across a forest density gradient. We then used these forest structure estimates to assess specific objectives of a forest restoration treatment. At the fine‐scale, we found that estimates of individual tree height and canopy diameter were most accurate in low‐density conditions, with accuracies degrading significantly in high‐density conditions. Mid‐scale estimates of canopy cover and forest density followed a similar pattern across the density gradient, demonstrating the effectiveness of UAV image‐derived estimates in low‐ to medium‐density conditions as well as the challenges associated with high‐density conditions. We found that post‐treatment conditions met a majority of the prescription objectives and demonstrate the UAV image application in quantifying changes from a mechanical thinning treatment. We provide a novel approach to forest restoration monitoring using UAV ‐derived data, one that considers varying density conditions and spatial scales. Future research should consider a more spatially extensive sampling design, including different restoration treatments, as well as experimenting with different combinations of equipment, flight parameters, and data processing workflows.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rse2.137","usgsCitation":"Belmonte, A., Sankey, T.T., Biederman, J.A., Bradford, J.B., Goetz, S.J., Kolb, T., and Woolley, T., 2020, UAV-derived estimates of forest structure to inform ponderosa pine forest restoration: Remote Sensing in Ecology and Conservation, v. 6, no. 2, p. 181-197, https://doi.org/10.1002/rse2.137.","productDescription":"17 p.","startPage":"181","endPage":"197","ipdsId":"IP-113835","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":458361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.137","text":"Publisher Index Page"},{"id":372377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.150390625,\n              48.8936153614802\n            ],\n            [\n              -123.48632812499999,\n              49.1242192485914\n            ],\n            [\n              -123.22265625000001,\n              48.31242790407178\n            ],\n            [\n              -125.595703125,\n              48.42920055556841\n            ],\n            [\n              -124.76074218749999,\n              46.800059446787316\n            ],\n            [\n              -125.33203125,\n              41.77131167976407\n            ],\n            [\n              -124.4091796875,\n              38.238180119798635\n            ],\n            [\n              -120.58593749999999,\n              34.05265942137599\n            ],\n            [\n              -117.59765625,\n              32.84267363195431\n            ],\n            [\n              -116.103515625,\n              32.69486597787505\n            ],\n            [\n              -108.9404296875,\n              31.316101383495624\n            ],\n            [\n              -106.2158203125,\n              31.914867503276223\n            ],\n            [\n              -103.3154296875,\n              31.952162238024975\n            ],\n            [\n              -102.216796875,\n              37.16031654673677\n            ],\n            [\n              -101.953125,\n              40.78054143186033\n            ],\n            [\n              -103.84277343749999,\n              41.0130657870063\n            ],\n            [\n              -104.150390625,\n              48.8936153614802\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"6","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Belmonte, Adam","contributorId":222546,"corporation":false,"usgs":false,"family":"Belmonte","given":"Adam","email":"","affiliations":[{"id":40559,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":782489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":782490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biederman, Joel A.","contributorId":201939,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":782491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":782488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goetz, Scott J.","contributorId":222547,"corporation":false,"usgs":false,"family":"Goetz","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":40559,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":782492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolb, Thomas","contributorId":174381,"corporation":false,"usgs":false,"family":"Kolb","given":"Thomas","affiliations":[],"preferred":false,"id":782493,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woolley, Travis","contributorId":222548,"corporation":false,"usgs":false,"family":"Woolley","given":"Travis","affiliations":[{"id":40560,"text":"The Nature Conservancy Northern Arizona Program, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":782494,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208852,"text":"70208852 - 2020 - Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager","interactions":[],"lastModifiedDate":"2020-03-03T11:28:40","indexId":"70208852","displayToPublicDate":"2019-12-13T11:24:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager","docAbstract":"<p><span>Central-place foragers can be constrained by the distance between habitats. When an organism relies on a central place for thermal refuge, the distance to food resources can potentially constrain foraging behavior. We investigated the effect of distance between thermal refuges and forage patches of the cold-intolerant marine mammal, the Florida manatee (</span><i>Trichechus manatus latirostris</i><span>), on foraging duration. We tested the alternative hypotheses of time minimization and energy maximization as a response to distance between habitats. We also determined if manatees mitigate foraging constraints with increased visits to closer thermal refuges. We used hidden Markov models to assign discrete behaviors from movement parameters as a function of water temperature and assessed the influence of distance on foraging duration in water temperatures above (&gt; 20°C) and below (≤ 20°C) the lower critical limit of the thermoneutral zone of manatees. We found that with increased distance, manatees decreased foraging duration in cold water temperature and increased foraging duration in warmer temperatures. We also found that manatees returned to closer thermal refuges more often. Our results suggest that the spatial relationship of thermal and forage habitats can impact behavioral decisions regarding foraging. Addressing foraging behavior questions while considering thermoregulatory behavior implicates the importance of understanding changing environments on animal behavior, particularly in the face of current global change.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyz197","usgsCitation":"Haase, C.G., Fletcher, R.J., Slone, D.H., Reid, J.P., and Butler, S.M., 2020, Traveling to thermal refuges during stressful temperatures leads to foraging constraints in a central-place forager: Journal of Mammalogy, v. 101, no. 1, p. 271-280, https://doi.org/10.1093/jmammal/gyz197.","productDescription":"10 p.","startPage":"271","endPage":"280","ipdsId":"IP-093855","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyz197","text":"Publisher Index Page"},{"id":372851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Haase, Catherine G. 0000-0002-7682-0625 chaase@usgs.gov","orcid":"https://orcid.org/0000-0002-7682-0625","contributorId":195794,"corporation":false,"usgs":true,"family":"Haase","given":"Catherine","email":"chaase@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fletcher, Robert J. Jr.","contributorId":41294,"corporation":false,"usgs":true,"family":"Fletcher","given":"Robert","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":783668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":205617,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel","email":"dslone@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"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":783670,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Susan M. 0000-0003-3676-9332 sbutler@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-9332","contributorId":195796,"corporation":false,"usgs":true,"family":"Butler","given":"Susan","email":"sbutler@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":783671,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207945,"text":"70207945 - 2020 - A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species","interactions":[],"lastModifiedDate":"2020-06-05T11:52:02.919194","indexId":"70207945","displayToPublicDate":"2019-12-12T15:44:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2827,"text":"Natural Resource Modeling","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species","docAbstract":"<p>The Trojan Y Chromosome strategy (TYC) is a promising eradication method for biological control of nonnative species. The strategy works by manipulating the sex ratio of a population through the introduction of<span>&nbsp;</span><i>supermales</i><span>&nbsp;</span>that guarantee male offspring. In the current study, we compare the TYC method with a pure harvesting strategy. We also analyze a hybrid harvesting model that mirrors the TYC strategy. The dynamic analysis leads to results on stability of solutions and bifurcations of the model. Several conclusions about the different strategies are established via optimal control methods. In particular, the results affirm that either a pure harvesting or hybrid strategy may work better than the TYC method at controlling a nonnative species population.</p><p><strong>Recommendations for resource managers</strong></p><p><br></p><ul class=\"unordered-list\"><li><p>Where harvesting is feasible, it is as effective if not more effective than the classical TYC method. Therein managers may attempt harvesting female fish while stocking males or harvesting both male and female fishes.</p></li><li><p>Managers may attempt linear harvesting, saturating density‐dependent harvesting, and unbounded density‐dependent harvesting. Linear harvesting is seen to be the most effective.</p></li><li><p>We caution against the outright use of harvesting due to various density‐dependent effects that may arise. To this end hybrid models that involve a combination of harvesting and TYC‐type methods might be a better strategy.</p></li><li><p>One may also use harvesting as a tool in mesocosm settings to predict the efficacy of the TYC strategy in the wild.</p></li></ul>","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12252","usgsCitation":"Lyu, J., Schofield, P.J., Reaver, K., Beauregard, M., and Parshad, R.D., 2020, A comparison of the Trojan Y Chromosome strategy to harvesting models for eradication of nonnative species: Natural Resource Modeling, v. 33, no. 2, e12252, 43 p.; Data Release, https://doi.org/10.1111/nrm.12252.","productDescription":"e12252, 43 p.; Data Release","ipdsId":"IP-102664","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":458375,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1810.08279","text":"External Repository"},{"id":371399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":374930,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WXHRGQ","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Trojan Y chromosome strategy for eradication of non-native species data"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyu, Jingjing","contributorId":221684,"corporation":false,"usgs":false,"family":"Lyu","given":"Jingjing","email":"","affiliations":[],"preferred":false,"id":779841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":779842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reaver, Kristen 0000-0003-2304-4674 kwoodling@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-4674","contributorId":204132,"corporation":false,"usgs":true,"family":"Reaver","given":"Kristen","email":"kwoodling@usgs.gov","affiliations":[{"id":36862,"text":"Cherokee Nations","active":true,"usgs":false}],"preferred":true,"id":779843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauregard, Matthew","contributorId":221685,"corporation":false,"usgs":false,"family":"Beauregard","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":779844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parshad, Rana D.","contributorId":221686,"corporation":false,"usgs":false,"family":"Parshad","given":"Rana","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":779845,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70212646,"text":"70212646 - 2020 - Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence","interactions":[],"lastModifiedDate":"2020-08-25T14:46:14.53336","indexId":"70212646","displayToPublicDate":"2019-12-11T09:39:44","publicationYear":"2020","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}},"displayTitle":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, M<sub>w</sub> 7.1 subduction zone earthquake sequence","title":"Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence","docAbstract":"<p><span>Instrumental ground‐motion recordings from the 2018 Anchorage, Alaska (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub xmlns=&quot;&quot;><mi>M</mi><mi mathvariant=&quot;normal&quot;>w</mi></msub></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"msub\"><span id=\"MathJax-Span-14\" class=\"mi\">M</span><span id=\"MathJax-Span-15\" class=\"mi\">w</span></span></span></span></span><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"MJX_Assistive_MathML\"></span></span></span></span><span>&nbsp;7.1), earthquake sequence provide an independent data set allowing us to evaluate the predictive power of ground‐motion models (GMMs) for intraslab earthquakes associated with the Alaska subduction zone. In this study, we evaluate 15 candidate GMMs using instrumental ground‐motion observations of peak ground acceleration and 5% damped pseudospectral acceleration (0.02–10&nbsp;s) to inform logic‐tree weights for the update of the U.S. Geological Survey seismic hazard model for Alaska. GMMs are evaluated using two methods. The first is a total residual visualization approach that compares the probability density function, mean, and standard deviations&nbsp;</span><i><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot;>&amp;#x3C3;</mi></math>\"><span id=\"MathJax-Span-16\" class=\"math\"><span><span id=\"MathJax-Span-17\" class=\"mrow\"><span id=\"MathJax-Span-18\" class=\"mi\">σ</span></span></span></span></span></span></i><span>&nbsp;of the observed and predicted ground motion. The second GMM evaluation method we use is the common total residual probabilistic scoring method (log likelihood [LLH]). The LLH method provides a single score that can be used to weight GMMs in the Alaska seismic hazard model logic trees. To test logic branches in previous seismic hazard models, we evaluate GMM performance as a function of depth and we demonstrate that some GMMs show improved performance for earthquakes with focal depths greater than 50&nbsp;km. Ten of the initial 15 candidate GMMs fit the observed ground motions and meet established criteria for inclusion in the next update of the Alaska seismic hazard model.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190188","usgsCitation":"McNamara, D.E., Wolin, E., Powers, P.M., Shumway, A., Moschetti, M.P., Rekoske, J., Thompson, E.M., Mueller, C., and Petersen, M.D., 2020, Evaluation of ground‐motion models for U.S. Geological Survey seismic hazard models: 2018 Anchorage, Alaska, Mw 7.1 subduction zone earthquake sequence: Seismological Research Letters, v. 91, no. 1, p. 183-194, https://doi.org/10.1785/0220190188.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-113669","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":377821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Anchorage","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -150.88623046875,\n              60.67855911666429\n            ],\n            [\n              -149.007568359375,\n              60.67855911666429\n            ],\n            [\n              -149.007568359375,\n              61.66120280305204\n            ],\n            [\n              -150.88623046875,\n              61.66120280305204\n            ],\n            [\n              -150.88623046875,\n              60.67855911666429\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"91","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"McNamara, Daniel E. 0000-0001-6860-0350 mcnamara@usgs.gov","orcid":"https://orcid.org/0000-0001-6860-0350","contributorId":402,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","email":"mcnamara@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolin, Emily 0000-0003-1610-1191","orcid":"https://orcid.org/0000-0003-1610-1191","contributorId":221834,"corporation":false,"usgs":true,"family":"Wolin","given":"Emily","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797203,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797204,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797205,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rekoske, John 0000-0003-0539-2069","orcid":"https://orcid.org/0000-0003-0539-2069","contributorId":220108,"corporation":false,"usgs":true,"family":"Rekoske","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797206,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":797207,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797208,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":797209,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227282,"text":"70227282 - 2020 - Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird","interactions":[],"lastModifiedDate":"2022-01-07T14:26:37.217941","indexId":"70227282","displayToPublicDate":"2019-12-10T08:22:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird","docAbstract":"<h3 id=\"ddi13015-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Conservation of highly mobile species often requires identifying locations or time periods of elevated vulnerability. Since both extrinsic habitat conditions and intrinsic behavioural and energetic requirements contribute to habitat use at the landscape scale, identifying spatial or temporal foci for conservation intervention requires understanding how habitat needs and distributions vary across the annual cycle. Nearshore marine birds inhabit highly dynamic systems and have widely varying habitat needs among breeding, moult and non-breeding seasons, making them a useful case study for testing the relative contributions of individual resource requirements and environmental conditions in driving annual variation in distribution patterns.</p><h3 id=\"ddi13015-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Northern Gulf of Mexico (USA).</p><h3 id=\"ddi13015-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We tracked Brown Pelicans using bird-borne GPS transmitters and used a combination of Hidden Markov Models and multivariate selectivity analysis to compare the characteristics of preferred resident habitats used throughout the annual cycle.</p><h3 id=\"ddi13015-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>Habitat selection was driven by dynamic oceanographic variables during all stages of the annual cycle. Key habitat characteristics varied between seasons, with particularly strong selection on high productivity, low temperature and low salinity during the breeding and post-breeding moult periods. The post-breeding moult also corresponded to a time of limited availability of preferred habitats, resulting in extensive overlap between breeding populations from different administrative planning areas.</p><h3 id=\"ddi13015-sec-0005-title\" class=\"article-section__sub-title section1\">Main conclusions</h3><p>By incorporating seasonal variation in individual behaviour and resource requirements into our habitat models, we were able to identify the post-breeding moult as a period of high selectivity and restricted availability of preferred habitats for Brown Pelicans. Locations meeting preferred habitat criteria during the post-breeding period, particularly estuarine habitats with high productivity and low salinity, would therefore be high-value targets for management and restoration. Our analysis demonstrates the importance of accounting for both intrinsic and extrinsic temporal variation in evaluating habitat selection.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13015","usgsCitation":"Lamb, J., Satgé, Y., and Jodice, P.G., 2020, Seasonal variation in environmental and behavioural drivers of annual-cycle habitat selection in a nearshore seabird: Diversity and Distributions, v. 26, no. 2, p. 254-266, https://doi.org/10.1111/ddi.13015.","productDescription":"13 p.","startPage":"254","endPage":"266","ipdsId":"IP-107894","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458397,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13015","text":"Publisher Index Page"},{"id":394015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.734375,\n              26.07652055985697\n            ],\n            [\n              -82.63916015625,\n              26.07652055985697\n            ],\n            [\n              -82.63916015625,\n              30.600093873550072\n            ],\n            [\n              -97.734375,\n              30.600093873550072\n            ],\n            [\n              -97.734375,\n              26.07652055985697\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, J. S.","contributorId":270975,"corporation":false,"usgs":false,"family":"Lamb","given":"J. S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":830263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Satgé, Y. G.","contributorId":265430,"corporation":false,"usgs":false,"family":"Satgé","given":"Y. G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":830264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":830265,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208438,"text":"70208438 - 2020 - Successful molecular detection studies require clear communication among diverse research partners","interactions":[],"lastModifiedDate":"2020-02-10T18:12:55","indexId":"70208438","displayToPublicDate":"2019-12-09T18:05:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Successful molecular detection studies require clear communication among diverse research partners","docAbstract":"<p><span>Molecular detection techniques are powerful tools used in ecological applications ranging from diet analyses to pathogen surveillance. Research partnerships that use these tools often involve collaboration among professionals with expertise in field biology, laboratory techniques, quantitative modeling, wildlife disease, and natural resource management. However, in many cases, each of these collaborators lacks specific knowledge about the approaches, decisions, methods, and terminology used by their research partners, which can impede effective communication and act as a barrier to the efficient use of molecular data for ecological inferences and subsequent conservation decision making. We outline a collaborative framework to assist colleagues with diverse types of expertise to effectively translate their scientific and management needs to research partners from other specialties. The molecular techniques used to detect organisms will continue to advance both in sophistication and in the breadth of ecological applications. Our objective is to enable ecologists to harness the full utility of these methods by developing effective collaborative partnerships.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2141","usgsCitation":"Mosher, B.A., Bernard, R.F., Lorch, J.M., Miller, D., Richgels, K.L., White, C.L., and Campbell Grant, E.H., 2020, Successful molecular detection studies require clear communication among diverse research partners: Frontiers in Ecology and the Environment, v. 18, no. 1, p. 43-51, https://doi.org/10.1002/fee.2141.","productDescription":"9 p.","startPage":"43","endPage":"51","ipdsId":"IP-104082","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":372203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Mosher, B. A.","contributorId":216927,"corporation":false,"usgs":false,"family":"Mosher","given":"B.","email":"","middleInitial":"A.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":781881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bernard, R. F.","contributorId":216081,"corporation":false,"usgs":false,"family":"Bernard","given":"R.","email":"","middleInitial":"F.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":781882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":781883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, D. A. W.","contributorId":201361,"corporation":false,"usgs":false,"family":"Miller","given":"D. A. W.","affiliations":[],"preferred":false,"id":781988,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richgels, Katherine L. D. 0000-0003-2834-9477 krichgels@usgs.gov","orcid":"https://orcid.org/0000-0003-2834-9477","contributorId":151205,"corporation":false,"usgs":true,"family":"Richgels","given":"Katherine","email":"krichgels@usgs.gov","middleInitial":"L. D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":781885,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":781886,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":781880,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70207821,"text":"70207821 - 2020 - Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers","interactions":[],"lastModifiedDate":"2020-12-14T13:14:53.68955","indexId":"70207821","displayToPublicDate":"2019-12-09T15:50:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2228,"text":"Journal of Computational Physics","active":true,"publicationSubtype":{"id":10}},"title":"Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers","docAbstract":"<p><span>Based on experimental evidence and using mathematical modeling, inter-phase mass transfer processes of CO</span><sub>2</sub><span>&nbsp;exsolving from and dissolving into water in heterogeneous porous media are investigated under two fundamentally different flow conditions: in a quasi one dimensional vertical column and in a two-dimensional tank with a lateral background water flow, both at laboratory scale. In both cases, the CO</span><sub>2</sub><span>&nbsp;dissolved in water under a given overpressure is injected for a certain period at the bottom of the tank, exsolves, and migrates upwards. A layer of fine sand is present in the tanks designed to mimic geological scenarios of accumulation and trapping of exsolved CO</span><sub>2</sub><span>&nbsp;in shallow aquifers. Then, clean water is injected and the accumulated CO</span><sub>2</sub><span>&nbsp;is dissolved back into the flowing water. The study aims to point out the differences in the mass transfer processes between the quasi-1D and 2D cases using a mathematical model of two-phase compositional flow in heterogeneous porous media calibrated to the experimental datasets, and expose strategies that should be explored in future research. Additionally, temperature variations observed during the 2D experiments allow for analysis of isothermal versus non-isothermal effects on the processes of multiphase CO</span><sub>2</sub><span>&nbsp;evolution. The mathematical model is discretized and solved using the mixed hybrid finite element method in 2D that allows for the simulation of both advection- and diffusion-dominated processes accurately.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jcp.2019.109178","usgsCitation":"Jakub Solovsky, Radek Fucik, Plampin, M.R., Illangasekare, T.H., and Jiri Mikyska, 2020, Dimensional effects of inter-phase mass transfer on attenuation of structurally trapped gaseous carbon dioxide in shallow aquifers: Journal of Computational Physics, v. 405, 109178, https://doi.org/10.1016/j.jcp.2019.109178.","productDescription":"109178","ipdsId":"IP-104741","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1580146","text":"Publisher Index Page"},{"id":371236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"405","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jakub Solovsky","contributorId":217696,"corporation":false,"usgs":false,"family":"Jakub Solovsky","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Radek Fucik","contributorId":217697,"corporation":false,"usgs":false,"family":"Radek Fucik","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plampin, Michelle R. 0000-0003-4068-5801 mplampin@usgs.gov","orcid":"https://orcid.org/0000-0003-4068-5801","contributorId":204983,"corporation":false,"usgs":true,"family":"Plampin","given":"Michelle","email":"mplampin@usgs.gov","middleInitial":"R.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":779441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Illangasekare, Tissa H.","contributorId":194933,"corporation":false,"usgs":false,"family":"Illangasekare","given":"Tissa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":779442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiri Mikyska","contributorId":217700,"corporation":false,"usgs":false,"family":"Jiri Mikyska","affiliations":[{"id":39686,"text":"Czech Technical University in Prague","active":true,"usgs":false}],"preferred":false,"id":779443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70209005,"text":"70209005 - 2020 - Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA","interactions":[],"lastModifiedDate":"2021-01-08T14:19:41.180432","indexId":"70209005","displayToPublicDate":"2019-12-09T14:00:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA","docAbstract":"<p><span>Mortality of brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;and water chemistry were characterized in 6 headwater streams in the western Adirondacks of New York during spring 2015, 2016, and 2017 and compared with results from analogous tests done between 1980 and 2003 in many of the same streams, to assess temporal changes in toxicity and inorganic monomeric aluminum (Al</span><sub>i</sub><span>) concentrations, and the role of Al</span><sub>i</sub><span>&nbsp;exposure duration on brook trout survival. The Al</span><sub>i</sub><span>&nbsp;concentrations of 2 and 4 µmol L</span><sup>–1</sup><span>&nbsp;corresponded to low‐to‐moderate and high mortality thresholds, but prolonged exposure to ≥1 µmol Al</span><sub>i</sub><span> L</span><sup>–1</sup><span>&nbsp;also produced mortality. The variability, mean, and highest Al</span><sub>i</sub><span>&nbsp;concentrations in Buck Creek year round, and in several other streams during spring, have decreased significantly over the past 3 decades. Logistic models indicate that Al</span><sub>i</sub><span>&nbsp;surpassed highly toxic concentrations in Buck Creek for 3 to 4 mo annually during 2001 to 2003 and for 2 to 3 wk annually during 2015 to 2017. The loss of extremely high Al</span><sub>i</sub><span>&nbsp;episodes indicates that toxicity has declined markedly between the 1989 to 1990, 2001 to 2003, and 2015 to 2017 test periods, yet Al</span><sub>i</sub><span>&nbsp;concentrations can still cause moderate‐to‐high and complete (100%) mortality. The logistic models illustrate how mortality of brook trout in several Adirondack streams likely decreased in response to the 1990 Amendments to the United States' Clean Air Act (which decreased acidity, Al</span><sub>i</sub><span>&nbsp;concentrations, and duration of toxic episodes) and offer a means to predict how changes in US regulations that limit emissions of NO</span><sub><i>x</i></sub><span>&nbsp;and SO</span><sub><i>x</i></sub><span>&nbsp;(and N and S deposition loads) could affect fish survival and stream ecosystems in this region and across the Northeast.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4645","usgsCitation":"Baldigo, B.P., George, S., Lawrence, G.B., and Paul, E.A., 2020, Declining aluminum toxicity and the role of exposure duration on brook trout mortality in acidified streams of the Adirondack Mountains, New York, USA: Environmental Toxicology and Chemistry, v. 39, no. 3, p. 623-636, https://doi.org/10.1002/etc.4645.","productDescription":"14 p.","startPage":"623","endPage":"636","ipdsId":"IP-110828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":458405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4645","text":"Publisher Index Page"},{"id":373103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.98306274414062,\n              43.6912114102249\n            ],\n            [\n              -74.66514587402344,\n              43.6912114102249\n            ],\n            [\n              -74.66514587402344,\n              43.830068853318785\n            ],\n            [\n              -74.98306274414062,\n              43.830068853318785\n            ],\n            [\n              -74.98306274414062,\n              43.6912114102249\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott 0000-0002-2111-6817 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-2111-6817","contributorId":223202,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paul, Eric A. 0000-0003-0706-0076","orcid":"https://orcid.org/0000-0003-0706-0076","contributorId":223203,"corporation":false,"usgs":false,"family":"Paul","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":784508,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208802,"text":"70208802 - 2020 - Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services","interactions":[],"lastModifiedDate":"2021-10-22T19:44:22.967675","indexId":"70208802","displayToPublicDate":"2019-12-09T12:36:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"title":"Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services","docAbstract":"<p>1. Rwanda, a small but rapidly developing central African nation, has undertaken development of natural capital accounts to better inform its economic development through the World Bank’s Wealth Accounting and Valuation of Ecosystem Services (WAVES) Partnership. In this paper, we develop ecosystem service (ES) models to quantify the physical supply components of ecosystem accounts in Rwanda from 1990 to 2015. </p><p>2. We applied the InVEST carbon storage, sediment delivery ratio, and annual and seasonal water yield models to map changes in potential ES supply nationwide. We also quantified flows of sediment and water to 96 hydroelectric dam, irrigation dam, and water treatment plant sites. </p><p>3. Over a 25-year period, we found declines in all ES, which were most strongly driven by conversion of forests to cropland. Declines were most pronounced from 1990 to 2000 and 2010 to 2015; ES were relatively stable from 2000 to 2010. From 2010 to 2015, over 42% of Rwanda’s water-use sites (representing 17% of the nation’s hydroelectric generation capacity and 69% of its water treatment capacity) had increases in sediment export and quick flow greater than the national average. </p><p>4. Our results quantify nationwide ES trends, their implications for key water-dependent industries, and the importance of protected areas in safeguarding ES potential supply and flows in Rwanda. They also provide data that can be integrated with existing land, water, and economic accounts for Rwanda, as well as a baseline to inform development strategies that better link economic and environmental goals.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.10062","usgsCitation":"Bagstad, K.J., Ingram, J.C., Lange, G., Masozera, M.K., Ancona, Z.H., Bana, M., Kabogo, D., Musana, B., Nabahungu, N.L., Rukundo, E., Rutebuka, E., Polasky, S., Rugege, D., and Uwera, C., 2020, Toward ecosystem accounts for Rwanda: Tracking 25 years of change in potential supply and flows of ecosystem services: People and Nature, v. 1, no. 2, p. 163-188, https://doi.org/10.1002/pan3.10062.","productDescription":"26 p.","startPage":"163","endPage":"188","ipdsId":"IP-090139","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":458407,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Bernard","contributorId":222902,"corporation":false,"usgs":false,"family":"Musana","given":"Bernard","email":"","affiliations":[{"id":40625,"text":"Rwanda Agriculture and Animal Resources Development Board","active":true,"usgs":false}],"preferred":false,"id":783452,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nabahungu, Nsharwasi Leon","contributorId":222911,"corporation":false,"usgs":false,"family":"Nabahungu","given":"Nsharwasi","email":"","middleInitial":"Leon","affiliations":[],"preferred":false,"id":783449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rukundo, Emmanuel 0000-0002-3220-3422","orcid":"https://orcid.org/0000-0002-3220-3422","contributorId":222903,"corporation":false,"usgs":false,"family":"Rukundo","given":"Emmanuel","email":"","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":783453,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rutebuka, Evariste 0000-0001-9267-3349","orcid":"https://orcid.org/0000-0001-9267-3349","contributorId":222904,"corporation":false,"usgs":false,"family":"Rutebuka","given":"Evariste","email":"","affiliations":[{"id":40626,"text":"University of Ibadan","active":true,"usgs":false}],"preferred":false,"id":783454,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Polasky, Stephen 0000-0003-4934-2434","orcid":"https://orcid.org/0000-0003-4934-2434","contributorId":222897,"corporation":false,"usgs":false,"family":"Polasky","given":"Stephen","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":783447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rugege, Denis","contributorId":222900,"corporation":false,"usgs":false,"family":"Rugege","given":"Denis","email":"","affiliations":[],"preferred":false,"id":783450,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Uwera, Claudine 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,{"id":70209788,"text":"70209788 - 2020 - Parsing the effects of demography, climate, and management on recurrent brucellosis outbreaks in elk","interactions":[],"lastModifiedDate":"2020-05-04T18:18:52.416224","indexId":"70209788","displayToPublicDate":"2019-12-01T07:27:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Parsing the effects of demography, climate, and management on recurrent brucellosis outbreaks in elk","docAbstract":"1. Zoonotic pathogens can harm human health and well-being directly or by impacting livestock. Pathogens that spillover from wildlife can also impair conservation efforts if humans perceive wildlife as pests. Brucellosis, caused by the bacterium Brucella abortus, circulates in elk and bison herds of the Greater Yellowstone Ecosystem and poses a risk to cattle and humans. Our goal was to understand the relative effects of climatic drivers, host demography, and management control programs on disease dynamics. \n2. Using >20 years of serologic, demographic, and environmental data on brucellosis in elk, we built stochastic compartmental models to assess the influences of climate forcing, herd immunity, population turnover, and management interventions on pathogen transmission. Data were collected at feedgrounds visited in winter by free-ranging elk in Wyoming, USA.\n3. Snowpack, hypothesized as a driver of elk aggregation and thus brucellosis transmission, was strongly correlated across feedgrounds. We expected this variable to drive synchronized disease dynamics across herds. Instead, we demonstrate asynchronous epizootics driven by variation in demographic rates.\n4. We evaluated the effectiveness of test-and-slaughter of seropositive female elk at two feedgrounds. Test-and-slaughter temporarily reduced herd-level seroprevalence but likely reduced herd immunity while removing few infectious individuals, resulting in subsequent outbreaks once the intervention ceased. We simulated an alternative strategy of removing seronegative female elk and found it would increase herd immunity, yielding fewer infections. We evaluated a second experimental treatment wherein feeding density was reduced at one feedground, but we found no evidence for an effect despite a decade of implementation.\n5. Synthesis and applications: Positive serostatus is often weakly correlated with infectiousness but is nevertheless used to make management decisions including lethal removal in wildlife disease systems. We show how this can have adverse consequences whereas efforts that maintain herd immunity can have longer-term protective effects. Climatic drivers may not result in synchronous disease dynamics across populations unless vital rates are also similar because demographic factors have a large influence on disease patterns.","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13553","collaboration":"","usgsCitation":"Cotterill, G., Cross, P., Merkle, J., Rogerson, J., Scurlock, B., and Du Toit, J.T., 2020, Parsing the effects of demography, climate, and management on recurrent brucellosis outbreaks in elk: Journal of Applied Ecology, v. 2, no. 57, p. 379-389, https://doi.org/10.1111/1365-2664.13553.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-106553","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":458423,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.13553","text":"Publisher Index Page"},{"id":374346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.3134765625,\n              42.98857645832184\n            ],\n            [\n              -108.19335937499999,\n              42.98857645832184\n            ],\n            [\n              -108.19335937499999,\n              45.27488643704891\n            ],\n            [\n              -111.3134765625,\n              45.27488643704891\n            ],\n            [\n              -111.3134765625,\n              42.98857645832184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"57","noUsgsAuthors":false,"publicationDate":"2020-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G.","contributorId":203301,"corporation":false,"usgs":false,"family":"Cotterill","given":"Gavin G.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":788017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":788018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merkle, Jerod A. 0000-0003-0100-1833","orcid":"https://orcid.org/0000-0003-0100-1833","contributorId":224370,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":788019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogerson, JD","contributorId":224371,"corporation":false,"usgs":false,"family":"Rogerson","given":"JD","email":"","affiliations":[{"id":40869,"text":"WYGFD","active":true,"usgs":false}],"preferred":false,"id":788020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scurlock, BM","contributorId":199582,"corporation":false,"usgs":false,"family":"Scurlock","given":"BM","email":"","affiliations":[],"preferred":false,"id":788021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Du Toit, Johan T. 0000-0003-0705-7117","orcid":"https://orcid.org/0000-0003-0705-7117","contributorId":210266,"corporation":false,"usgs":false,"family":"Du Toit","given":"Johan","email":"","middleInitial":"T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":788022,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70207997,"text":"70207997 - 2020 - Drivers of landscape change in the northwest boreal region","interactions":[],"lastModifiedDate":"2025-05-16T19:48:44.635521","indexId":"70207997","displayToPublicDate":"2019-11-30T17:44:10","publicationYear":"2020","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Drivers of landscape change in the northwest boreal region","docAbstract":"The northwest boreal region (NWB) of North America is a land of extremes. Extending more than 1.3 million square kilometers (330 million acres), it encompasses the entire spectrum between inundated wetlands below sea level to the tallest peak in North America. Permafrost gradients span from nearly continuous to absent. Boreal ecosystems are inherently dynamic and continually change over decades to millennia. The braided rivers that shape the valleys and wetlands continually change course, creating and removing vast wetlands and peatlands. Glacial melt, erosion, fires, permafrost dynamics, and wind-blown loess are among the shaping forces of the landscape. As a result, species interactions and ecosystem processes are shifting across time.\nThe NWB is a data-poor region, and the intention of the NWB Landscape Conservation Cooperative is to determine what data are not available and what data are available. For instance, historical baseline data describing the economic and social relationships in association with the ecological condition of the NWB landscape are often lacking. Likewise, the size and remoteness of this region make it challenging to measure basic biological information, such as species population sizes or trends. The paucity of weather and climate monitoring stations also compound the ability to model future climate trends and impacts, which is part of the nature of working in the north. The purpose of this volume is to create a resource for regional land and resource managers and researchers by synthesizing the latest research on the historical and current status of landscape-scale drivers (including anthropogenic activities) and ecosystem processes, future projected changes of each, and the effects of changes on important resources. Generally, each chapter is coauthored by researchers and land and natural resource managers from the United States and Canada.","language":"English","publisher":"University of Alaska Press","isbn":"9781602233973","usgsCitation":"2020, Drivers of landscape change in the northwest boreal region, 225 p.","productDescription":"225 p.","ipdsId":"IP-074868","costCenters":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"links":[{"id":371546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":371479,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.jstor.org/stable/j.ctv21fqdwb","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Northwest Boreal Region","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Markon, Carl","contributorId":212151,"corporation":false,"usgs":false,"family":"Markon","given":"Carl","affiliations":[{"id":38437,"text":"Retired, U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":780080,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Sesser, Amanda","contributorId":221730,"corporation":false,"usgs":false,"family":"Sesser","given":"Amanda","email":"","affiliations":[],"preferred":false,"id":780081,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Rockhill, Aimee P.","contributorId":221731,"corporation":false,"usgs":false,"family":"Rockhill","given":"Aimee","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":780082,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Magness, Dawn R","contributorId":221735,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":780086,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Reid, Don","contributorId":221733,"corporation":false,"usgs":false,"family":"Reid","given":"Don","email":"","affiliations":[],"preferred":false,"id":780084,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"DeLapp, John","contributorId":221732,"corporation":false,"usgs":false,"family":"DeLapp","given":"John","email":"","affiliations":[],"preferred":false,"id":780083,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Burton, Phil","contributorId":221736,"corporation":false,"usgs":false,"family":"Burton","given":"Phil","email":"","affiliations":[],"preferred":false,"id":780087,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Schroff, Eric","contributorId":192772,"corporation":false,"usgs":false,"family":"Schroff","given":"Eric","email":"","affiliations":[],"preferred":false,"id":780088,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Barber, Valerie","contributorId":221734,"corporation":false,"usgs":false,"family":"Barber","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":780085,"contributorType":{"id":2,"text":"Editors"},"rank":9}]}}
,{"id":70228287,"text":"70228287 - 2020 - Predicting wildlife distribution patterns in New England USA with expert elicitation techniques","interactions":[],"lastModifiedDate":"2022-02-09T12:04:24.462319","indexId":"70228287","displayToPublicDate":"2019-11-30T15:56:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Predicting wildlife distribution patterns in New England USA with expert elicitation techniques","docAbstract":"<p><span>Understanding the impacts of landscape change on species distributions can help inform decision-making and&nbsp;conservation planning. Unfortunately, empirical data that span large spatial extents across multiple taxa are limited. In this study, we used expert elicitation techniques to develop&nbsp;species distribution models&nbsp;(SDMs) for harvested wildlife species (n&nbsp;=&nbsp;10) in the New England region of the northeastern United States. We administered an online survey that elicited opinions from wildlife experts on the probability of species occurrence throughout the study region. We collected 3396 probability of occurrence estimates from 46 experts, and used linear mixed-effects methods and landcover variables at multiple spatial extents to develop SDMs. The models were in general agreement with the literature and provided effect sizes for variables that shape species occurrence. With the exception of gray fox, models performed well when validated against crowdsourced empirical data. We applied models to&nbsp;rasters&nbsp;(30&nbsp;×&nbsp;30&nbsp;m cells) of the New England region to map each species’ distribution. Average regional occurrence probability was highest for coyote (0.92) and white-tailed&nbsp;deer&nbsp;(0.89) and lowest for gray fox (0.42) and moose (0.52). We then stacked distribution maps of each species to estimate and map focal species richness. Species richness (</span><i>s</i><span>) varied across New England, with highest average richness in the least developed states of Vermont (</span><i>s</i><span>&nbsp;=&nbsp;7.47) and Maine (s&nbsp;=&nbsp;7.32), and lowest average richness in the most developed states of Rhode Island (s&nbsp;=&nbsp;6.13) and Massachusetts (s&nbsp;=&nbsp;6.61). Our expert-based approach provided relatively inexpensive, comprehensive information that would have otherwise been difficult to obtain given the spatial extent and range of species being assessed. The results provide valuable information about the current distribution of wildlife species and offer a means of exploring how climate and land-use change may impact wildlife in the future.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00853","usgsCitation":"Pearman-Gillman, S.B., Katz, J.E., Mickey, R., Murdoch, J.D., and Donovan, T.M., 2020, Predicting wildlife distribution patterns in New England USA with expert elicitation techniques: Global Ecology and Conservation, v. 21, e00853, 19 p., https://doi.org/10.1016/j.gecco.2019.e00853.","productDescription":"e00853, 19 p.","ipdsId":"IP-110199","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":458424,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00853","text":"Publisher Index 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 \"}}]}","volume":"21","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pearman-Gillman, Schuyler B. spearman-gillman@usgs.gov","contributorId":275070,"corporation":false,"usgs":false,"family":"Pearman-Gillman","given":"Schuyler","email":"spearman-gillman@usgs.gov","middleInitial":"B.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":833613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katz, Jonathan E.","contributorId":275072,"corporation":false,"usgs":false,"family":"Katz","given":"Jonathan","email":"","middleInitial":"E.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":833614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mickey, Ruth M.","contributorId":275073,"corporation":false,"usgs":false,"family":"Mickey","given":"Ruth M.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":833615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murdoch, James D.","contributorId":275075,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":833616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833612,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228329,"text":"70228329 - 2020 - Energetic status of Alaskan Chinook Salmon: Interpopulation comparisons and predictive modeling using bioelectrical impedance analysis","interactions":[],"lastModifiedDate":"2022-02-10T12:17:31.332188","indexId":"70228329","displayToPublicDate":"2019-11-29T15:41:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Energetic status of Alaskan Chinook Salmon: Interpopulation comparisons and predictive modeling using bioelectrical impedance analysis","docAbstract":"<p>Adult Pacific Salmon <i>Oncorhynchus spp</i>. undertake energetically demanding migrations wherein they must have adequate energy reserves to survive to spawning locations and reproduce. Proximate analysis provides insight into available energy stores (e.g., lipids), but the ability to non-lethally monitor energetic status may be useful for managers to better understand how energetic status affects salmon populations in light of population declines and threats from climate change and habitat alteration. Chinook Salmon <i>Oncorhynchus tshawytscha</i> (N = 129) were sampled for proximate analysis from four populations in Alaska to examine variation in energetic status pre- and post-spawning migration and to create predictive bioelectrical impedance analysis (BIA) models for this species. We also tested two BIA devices (Q2 and CQR), whether models were generalizable to a con-specific (Chum Salmon Oncorhynchus keta), and the feasibility of integrating BIA into field studies. Populations sampled pre- spawning migration had higher percent lipid (N = 77; mean = 42.57%) than those collected post spawning migration (N = 52; mean = 19.71%). Total percent lipid and water were more accurately predicted from the Q2 device based on BIA measurements (RMSE = 5.33; RMSE = 2.43, respectively), relative to CQR device measurements (RMSE = 6.27; RMSE = 2.66). Between-species (Chinook to Chum RMSE = 19.47; Chum to Chinook RMSE = 7.69) models were less accurate than species specific models created for Chinook and Chum Salmon, therefore single species models should be used. We field-tested the BIA model to predict Chinook Salmon %lipid and %water on a remote Southeast Alaska river. Techniques were quickly taught to field crews and predictions were similar to other pre-spawning migration estimates. Our results indicate that integration of BIA into population monitoring could be a valuable tool to assess spatial and temporal patterns of energetic status of Chinook Salmon.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10398","usgsCitation":"Courtney, K.R., Falke, J.A., Cox, M., and Nichols, J., 2020, Energetic status of Alaskan Chinook Salmon: Interpopulation comparisons and predictive modeling using bioelectrical impedance analysis: North American Journal of Fisheries Management, v. 40, no. 1, p. 209-224, https://doi.org/10.1002/nafm.10398.","productDescription":"16 p.","startPage":"209","endPage":"224","ipdsId":"IP-098108","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River, Delta River, Emmonak, Nushagak River, Stikine River, Tanana River, Yukon River, Whitman Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -528.7939453125,\n              52.96187505907603\n            ],\n            [\n              -486.8701171875,\n              52.96187505907603\n            ],\n            [\n              -486.8701171875,\n              62.61356210229029\n            ],\n            [\n              -528.7939453125,\n              62.61356210229029\n            ],\n            [\n              -528.7939453125,\n              52.96187505907603\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Courtney, Kristin R.","contributorId":275181,"corporation":false,"usgs":false,"family":"Courtney","given":"Kristin","email":"","middleInitial":"R.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, M. Keith","contributorId":275182,"corporation":false,"usgs":false,"family":"Cox","given":"M. Keith","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, Jeff","contributorId":275183,"corporation":false,"usgs":false,"family":"Nichols","given":"Jeff","email":"","affiliations":[{"id":54573,"text":"AK FG","active":true,"usgs":false}],"preferred":false,"id":833783,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227251,"text":"70227251 - 2020 - Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","interactions":[],"lastModifiedDate":"2022-01-05T15:12:55.633931","indexId":"70227251","displayToPublicDate":"2019-11-28T08:44:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Brook trout (<i>Salvelinus fontinalis</i>) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","title":"Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin","docAbstract":"<p><span>Dam removals allow fish to access habitats that may provide ecological benefits and risks, but the extent of fish movements through former dam sites has not been thoroughly evaluated for many species. We installed stationary PIT antennas in 2016 and 2017 to evaluate movements and survival of brook trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;in the West Branch of the Wolf River (WBWR) in central Wisconsin following removal of two dams and channel modifications designed to promote fish movement. These changes provided access to lacustrine habitats that might provide suitable winter habitat or act as ecological sinks. We used multistate models to estimate transition probabilities between river sections, to determine whether brook trout: (a) moved between multiple river sections and (b) entered lacustrine habitats as seasonal refuges, but eventually returned to lotic habitat. We also used a Cormack-Jolly-Seber model to evaluate whether apparent survival of brook trout in the WBWR was comparable to other populations. Few fish moved among river sections or used lacustrine habitat (&lt;5% of tagged fish); most brook trout remained in sections where they were initially tagged, potentially due to quality habitat located throughout the river. Like other studies, brook trout in the WBWR appear to experience high mortality based on low number of detections, few physical recaptures and an estimated eight-month apparent survival rate of 0.27. In scenarios where fish can already access suitable habitat, removal of dams may not result in substantial increases in fish movement and colonisation of newly accessible habitat may not occur immediately.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12516","usgsCitation":"Easterly, E., Isermann, D.A., Raabe, J.K., and Pyatskowit, J.W., 2020, Brook trout (Salvelinus fontinalis) movement and survival after removal of two dams on the West Branch of the Wolf River, Wisconsin: Ecology of Freshwater Fish, v. 29, no. 2, p. 311-324, https://doi.org/10.1111/eff.12516.","productDescription":"14 p.","startPage":"311","endPage":"324","ipdsId":"IP-107712","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":393914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"West Branch of the Wolf River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.93192291259766,\n              44.9643120983638\n            ],\n            [\n              -88.76300811767578,\n              44.9643120983638\n            ],\n            [\n              -88.76300811767578,\n              45.11859928315532\n            ],\n            [\n              -88.93192291259766,\n              45.11859928315532\n            ],\n            [\n              -88.93192291259766,\n              44.9643120983638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Easterly, Emma G.","contributorId":270907,"corporation":false,"usgs":false,"family":"Easterly","given":"Emma G.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":830113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raabe, Joshua K.","contributorId":270908,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua","email":"","middleInitial":"K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":830115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyatskowit, Joshua W.","contributorId":270909,"corporation":false,"usgs":false,"family":"Pyatskowit","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":56220,"text":"Menominee Indian Tribe of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":830116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216111,"text":"70216111 - 2020 - Cost-effective fuel treatment planning: A theoretical justification and case-study","interactions":[],"lastModifiedDate":"2020-11-05T15:40:42.049467","indexId":"70216111","displayToPublicDate":"2019-11-26T09:32:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Cost-effective fuel treatment planning: A theoretical justification and case-study","docAbstract":"<p><span>Modelling the spatial prioritisation of fuel treatments and their net effect on values at risk is an important area for applied work as economic damages from wildfire continue to grow. We model and demonstrate a cost-effective fuel treatment planning algorithm using two ecosystem services as benefits for which fuel treatments are prioritised. We create a surface of expected fuel treatment costs to incorporate the heterogeneity in factors affecting the revenue and costs of fuel treatments, and then prioritise treatments based on a cost-effectiveness ratio to maximise the averted loss of ecosystem services from fire. We compare treatment scenarios that employ cost-effectiveness with those that do not, and use common tools and models in a case study of the Sisters Ranger District on the Deschutes National Forest in central Oregon, USA. Using cost-effectiveness not only increases the expected averted losses from fuel treatments, but it also allows a larger area to be treated for the same cost, simply by incorporating costs and cost-effectiveness into the prioritisation routine. These results have considerable implications for policymakers and land managers trying to minimise risk. Incorporating costs into the spatial planning of treatments could allow more effective outcomes without increasing fuel treatment budgets.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF18187","usgsCitation":"Kreitler, J.R., Thompson, M., Vaillant, N., and Hawbaker, T., 2020, Cost-effective fuel treatment planning: A theoretical justification and case-study: International Journal of Wildland Fire, v. 29, no. 1, p. 42-56, https://doi.org/10.1071/WF18187.","productDescription":"15 p.","startPage":"42","endPage":"56","ipdsId":"IP-070393","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":380195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Deschutes National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.0416259765625,\n              43.35514118114017\n            ],\n            [\n              -120.69305419921874,\n              43.35514118114017\n            ],\n            [\n              -120.69305419921874,\n              44.40042951858466\n            ],\n            [\n              -122.0416259765625,\n              44.40042951858466\n            ],\n            [\n              -122.0416259765625,\n              43.35514118114017\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreitler, Jason R. 0000-0002-0243-5281 jkreitler@usgs.gov","orcid":"https://orcid.org/0000-0002-0243-5281","contributorId":4050,"corporation":false,"usgs":true,"family":"Kreitler","given":"Jason","email":"jkreitler@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":804149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Matthew","contributorId":177098,"corporation":false,"usgs":false,"family":"Thompson","given":"Matthew","affiliations":[],"preferred":false,"id":804150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaillant, Nicole","contributorId":140987,"corporation":false,"usgs":false,"family":"Vaillant","given":"Nicole","affiliations":[{"id":13638,"text":"Western Wildland environmental threat assessment Center","active":true,"usgs":false}],"preferred":false,"id":804151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":804152,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208075,"text":"70208075 - 2020 - Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California","interactions":[],"lastModifiedDate":"2020-01-27T20:03:27","indexId":"70208075","displayToPublicDate":"2019-11-25T20:02:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California","docAbstract":"Defining boundaries of species' habitat across broad spatial scales is often necessary for management decisions, and yet challenging for species that demonstrate differential variation in seasonal habitat use. Spatially explicit indices that incorporate temporal shifts in selection can help overcome such challenges, especially for species of high conservation concern. Greater sage‐grouse Centrocercus urophasianus (hereafter, sage‐grouse), a sagebrush obligate species inhabiting the American West, represents an important case study because sage‐grouse exhibit seasonal habitat patterns, populations are declining in most portions of their range and are central to contemporary national land use policies. Here, we modeled spatiotemporal selection patterns for telemetered sage‐grouse across multiple study sites (1,084 sage‐grouse; 30,690 locations) in the Great Basin. We developed broad‐scale spatially explicit habitat indices that elucidated space use patterns (spring, summer/fall, and winter) and accounted for regional climatic variation using previously published hydrographic boundaries. We then evaluated differences in selection/avoidance of each habitat characteristic between seasons and hydrographic regions. Most notably, sage‐grouse consistently selected areas dominated by sagebrush with few or no conifers but varied in type of sagebrush selected by season and region. Spatiotemporal variation was most apparent based on availability of water resources and herbaceous cover, where sage‐grouse strongly selected upland natural springs in xeric regions but selected larger wet meadows in mesic regions. Additionally, during the breeding period in spring, herbaceous cover was selected strongly in the mesic regions. Lastly, we expanded upon an existing joint–index framework by combining seasonal habitat indices with a probabilistic index of sage‐grouse abundance and space use to produce habitat maps useful for sage‐grouse management. These products can serve as conservation planning tools that help predict expected benefits of restoration activities, while highlighting areas most critical to sustaining sage‐grouse populations. Our joint–index framework can be applied to other species that exhibit seasonal shifts in habitat requirements to help better guide conservation actions.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5842","usgsCitation":"Coates, P.S., Brussee, B.E., Ricca, M.A., Severson, J., Casazza, M.L., Gustafson, K.B., Espinosa, S.P., Gardner, S.C., and Delahunty, D.J., 2020, Spatially explicit models of seasonal habitat for greater sage‐grouse at broad spatial scales: Informing areas for management in Nevada and northeastern California: Ecology and Evolution, v. 10, no. 1, p. 104-118, https://doi.org/10.1002/ece3.5842.","productDescription":"15 p.","startPage":"104","endPage":"118","ipdsId":"IP-106342","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458449,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5842","text":"Publisher Index Page"},{"id":371630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.134765625,\n              36.61552763134925\n            ],\n            [\n              -114.06005859375,\n              36.61552763134925\n            ],\n            [\n              -114.06005859375,\n              41.96765920367816\n            ],\n            [\n              -123.134765625,\n              41.96765920367816\n            ],\n            [\n              -123.134765625,\n              36.61552763134925\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Severson, John","contributorId":221819,"corporation":false,"usgs":true,"family":"Severson","given":"John","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":780365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":166818,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Espinosa, Shawn P.","contributorId":195583,"corporation":false,"usgs":false,"family":"Espinosa","given":"Shawn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":780367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":780368,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delahunty, David J","contributorId":221820,"corporation":false,"usgs":false,"family":"Delahunty","given":"David","email":"","middleInitial":"J","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":780369,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70207946,"text":"70207946 - 2020 - Dispersal asymmetry in a two-patch system with source–sink populations","interactions":[],"lastModifiedDate":"2020-02-13T12:53:00","indexId":"70207946","displayToPublicDate":"2019-11-25T15:53:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3593,"text":"Theoretical Population Biology","active":true,"publicationSubtype":{"id":10}},"title":"Dispersal asymmetry in a two-patch system with source–sink populations","docAbstract":"<p><span>This paper analyzes source–sink systems with asymmetric dispersal between two patches. Complete analysis on the models demonstrates a mechanism by which the dispersal asymmetry can lead to either an increased total size of the species population in two patches, a decreased total size with persistence in the patches, or even extinction in both patches. For a large growth rate of the species in the source and a fixed dispersal intensity, (i) if the asymmetry is small, the population would persist in both patches and reach a density higher than that without dispersal, in which the population approaches its maximal density at an appropriate asymmetry; (ii) if the asymmetry is intermediate, the population persists in both patches but reaches a density less than that without dispersal; (iii) if the asymmetry is large, the population goes to extinction in both patches; (iv) asymmetric dispersal is more favorable than symmetric dispersal under certain conditions. For a fixed asymmetry, similar phenomena occur when the dispersal intensity varies, while a thorough analysis is given for the low growth rate of the species in the source. Implications for populations in heterogeneous landscapes are discussed, and numerical simulations confirm and extend our results.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tpb.2019.11.004","usgsCitation":"Wu, H., Wang, Y., Li, Y., and DeAngelis, D.L., 2020, Dispersal asymmetry in a two-patch system with source–sink populations: Theoretical Population Biology, v. 131, p. 54-65, https://doi.org/10.1016/j.tpb.2019.11.004.","productDescription":"12 p.","startPage":"54","endPage":"65","ipdsId":"IP-110121","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":371400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wu, Hong","contributorId":21443,"corporation":false,"usgs":true,"family":"Wu","given":"Hong","affiliations":[],"preferred":false,"id":779846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":779847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yufeng","contributorId":221687,"corporation":false,"usgs":false,"family":"Li","given":"Yufeng","email":"","affiliations":[],"preferred":false,"id":779848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"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":779849,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206909,"text":"70206909 - 2020 - The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2020-03-11T14:17:15","indexId":"70206909","displayToPublicDate":"2019-11-25T08:20:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The future of barriers and trapping methods in the sea lamprey (<i>Petromyzon marinus</i>) control program in the Laurentian Great Lakes","title":"The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes","docAbstract":"<p><span>A major duty of the Great Lakes Fishery Commission (GLFC), created in 1955, was the development a program of eradication or management of sea lamprey populations in the Great Lakes for the protection of the Great Lakes fishery. Beginning in the 1980s the GLFC shifted sea lamprey control to an integrated pest management model seeking to deploy control measures which target multiple life stages. Currently control efforts focus on limiting the area of infestation using barriers to migratory adults and eradication of larvae from streams using selective pesticides. Feedback on program effectiveness is obtained by trapping migratory adult lamprey at a series of index sites around the basin. The GLFC continues to support multiple research initiatives to develop additional control, improve current control measures, and further advance the sea lamprey control program. During the past six decades sea lamprey control in the Great Lakes has evolved as the research program has identified technological advances. Here we summarize the current state and recent advancements for two of the sea lamprey control program’s core elements, barriers and traps, highlight challenges to be addressed to continue the advancement of these program elements, and provide a series of research questions to spur interest within the research community. Further, because considerable information about these program elements is scattered among grey literature and technical reports, we summarize the history of barriers and traps in sea lamprey control in the included appendices to provide relevant program background to anyone interested in pursuing these research topics.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-019-09587-7","usgsCitation":"Miehls, S.M., Paul Sullivan, Michael Twohey, Barber, J., and McDonald, R., 2020, The future of barriers and trapping methods in the sea lamprey (Petromyzon marinus) control program in the Laurentian Great Lakes: Reviews in Fish Biology and Fisheries, v. 30, p. 1-24, https://doi.org/10.1007/s11160-019-09587-7.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-102162","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":458454,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11160-019-09587-7","text":"Publisher Index Page"},{"id":369691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.07617187499999,\n              41.11246878918088\n            ],\n            [\n              -75.8056640625,\n              41.11246878918088\n            ],\n            [\n              -75.8056640625,\n              49.35375571830993\n            ],\n            [\n              -93.07617187499999,\n              49.35375571830993\n            ],\n            [\n              -93.07617187499999,\n              41.11246878918088\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":776224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paul Sullivan","contributorId":141118,"corporation":false,"usgs":false,"family":"Paul Sullivan","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":776225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael Twohey","contributorId":220931,"corporation":false,"usgs":false,"family":"Michael Twohey","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":776226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Jessica","contributorId":220932,"corporation":false,"usgs":false,"family":"Barber","given":"Jessica","email":"","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":776227,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McDonald, Rodney","contributorId":220933,"corporation":false,"usgs":false,"family":"McDonald","given":"Rodney","email":"","affiliations":[{"id":40297,"text":"Retired Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":776228,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}