{"pageNumber":"757","pageRowStart":"18900","pageSize":"25","recordCount":184617,"records":[{"id":70202761,"text":"70202761 - 2019 - The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review","interactions":[],"lastModifiedDate":"2019-03-25T13:48:37","indexId":"70202761","displayToPublicDate":"2019-03-22T13:44:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review","docAbstract":"In aquatic systems, biological invasions can result in adverse ecological effects. Management techniques available for non-native fish removal programs (including eradication and population size control) vary widely, but include chemicals, harvest regimes, physical removal, or biological control. For management agencies, deciding on what non-native fish removal program to use has been challenging because there is little reliable information about the relative effectiveness of these measures in controlling or eradicating non-native fish. We conducted a systematic review, including a critical appraisal of study validity, to assess the effectiveness of different non-native fish removal methods, and to identify the factors that influence the overall success rate of each type of method. We found 95 relevant studies, generating 158 data sets. The evidence base was dominated by poorly documented studies with inadequate experimental designs (76% of removal projects). When the management goal was non-native fish eradication, chemical treatments were relatively successful (antimycin 75%; rotenone 89%) compared to other interventions. Electrofishing and passive removal measure studies indicated successful eradication was possible (58% each respectively) but required intensive effort and multiple treatments over a number of years. Of these studies with sufficient information, electrofishing had the highest success for population size control (56% of data sets). Overall, inadequate data quality and completeness severely limited our ability to make strong conclusions about the relationships between non-native fish abundance and different methods of eradication and population control, and the factors influencing the overall success rate of each method. Our review highlights that there is considerable scope for improving our evaluations of non-native fish removal methods. It is recommended that programs should have explicitly stated objectives, better data reporting, and study designs that (when possible and appropriate) incorporate replicated and controlled investigations with rigorous, long-term quantitative monitoring. Future research on the effectiveness of non-native fish removal methods should focus on: (1) the efficacy of existing or potentially new removal measures in larger, more complex environments; (2) a broader range of removal measures in general, and (3) phenotypic characteristics of individual fish within a population that fail to be eradicated or controlled.","language":"English","publisher":"NRC Research Press","doi":"10.1139/er-2018-0049","usgsCitation":"Rytwinski, T., Taylor, J.J., Donaldson, L.A., Britton, J.R., Browne, D.R., Gresswell, R.E., Lintermans, M., Prior, K.A., Pellatt, M.G., Vis, C., and Cooke, S., 2019, The effectiveness of non-native fish removal techniques in freshwater ecosystems: a systematic review: Environmental Reviews, v. 27, no. 1, p. 71-94, https://doi.org/10.1139/er-2018-0049.","productDescription":"24 p.","startPage":"71","endPage":"94","numberOfPages":"24","ipdsId":"IP-100065","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467786,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":362303,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rytwinski, Trina","contributorId":214426,"corporation":false,"usgs":false,"family":"Rytwinski","given":"Trina","email":"","affiliations":[],"preferred":false,"id":759889,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jessica J.","contributorId":214427,"corporation":false,"usgs":false,"family":"Taylor","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":759890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donaldson, Lisa A.","contributorId":214428,"corporation":false,"usgs":false,"family":"Donaldson","given":"Lisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759891,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Britton, J. Robert","contributorId":214429,"corporation":false,"usgs":false,"family":"Britton","given":"J.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":759892,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Browne, David R.","contributorId":214430,"corporation":false,"usgs":false,"family":"Browne","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":759893,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":152031,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":759894,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lintermans, Mark","contributorId":214431,"corporation":false,"usgs":false,"family":"Lintermans","given":"Mark","email":"","affiliations":[],"preferred":false,"id":759895,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Prior, Kent A.","contributorId":214432,"corporation":false,"usgs":false,"family":"Prior","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759896,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pellatt, Marlow G.","contributorId":214433,"corporation":false,"usgs":false,"family":"Pellatt","given":"Marlow","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":759897,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vis, Chantal","contributorId":214434,"corporation":false,"usgs":false,"family":"Vis","given":"Chantal","email":"","affiliations":[],"preferred":false,"id":759898,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":759899,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203927,"text":"70203927 - 2019 - Aquatic macroinvertebrate community responses to wetland mitigation in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2019-06-21T11:29:27","indexId":"70203927","displayToPublicDate":"2019-03-22T11:17:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic macroinvertebrate community responses to wetland mitigation in the Greater Yellowstone Ecosystem","docAbstract":"<p>1. Wetlands are critical components of freshwater biodiversity and provide ecosystem services, but human activities have resulted in large-scale loss of these habitats across the globe. To offset this loss, mitigation wetlands are frequently constructed, but their ability to replicate the functions of natural wetlands remains uncertain. Further, monitoring of mitigation wetlands is limited and often focused exclusively on vegetation and physical characteristics. </p><p>2. Wetland fauna are assumed to be present if suitable habitat restoration is achieved, but this assumption is rarely tested. We used the macroinvertebrate community as a proxy for wetland function to compare created mitigation wetlands, natural wetlands impacted but not destroyed by road construction activity, and unimpacted reference wetlands along a highway corridor in the Greater Yellowstone Ecosystem. Unlike most other studies of invertebrate communities in created wetlands which have occurred in warm climates, our study area has a cold temperate climate with short growing seasons. </p><p>3. We estimated macroinvertebrate taxonomic richness and used linear models to test for effects of wetland design features (wetland age, isolation, depth, vegetation, size, and pH) on invertebrate richness. We also used non-metric multidimensional scaling to examine differences in community composition among wetland types and used indicator species analysis to determine which taxa were causing observed differences. </p><p>4. Taxonomic richness of macroinvertebrates was lower in created wetlands than impacted or reference wetlands, whereas richness was similar in impacted and reference wetlands. Wetland age was positively correlated with taxonomic richness. The amount of aquatic vegetation in wetlands had the greatest influence on taxonomic richness, so that recently created wetlands with little vegetation had the simplest invertebrate communities. Community composition of invertebrates in created wetlands also differed from community composition in reference and impacted wetlands. Most notably, created wetlands lacked some passive dispersers that were common in other wetland types, although we found no relationship between taxonomic richness and wetland isolation. </p><p>5. Overall, constructed wetlands had diminished and altered macroinvertebrate communities relative to reference and impacted wetlands, suggesting that longer times may be required for wetland mitigation projects in cold temperate climates to attain full functionality.</p>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13276","usgsCitation":"SWARTZ, L.K., Hossack, B.R., Muths, E.L., Newell, R.L., and Lowe, W.H., 2019, Aquatic macroinvertebrate community responses to wetland mitigation in the Greater Yellowstone Ecosystem: Freshwater Biology, v. 64, p. 942-953, https://doi.org/10.1111/fwb.13276.","productDescription":"12 p.","startPage":"942","endPage":"953","ipdsId":"IP-098009","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Togwotee Pass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.50735473632812,\n              43.875128129336716\n            ],\n            [\n              -110.52520751953125,\n              43.79092385423618\n            ],\n            [\n              -109.62570190429688,\n              43.48082639482503\n            ],\n            [\n              -109.53643798828125,\n              43.574421623084234\n            ],\n            [\n              -110.14480590820312,\n              43.875128129336716\n            ],\n            [\n              -110.48126220703125,\n              43.916691089303114\n            ],\n            [\n              -110.49774169921875,\n              43.916691089303114\n            ],\n            [\n              -110.50735473632812,\n              43.875128129336716\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"SWARTZ, LEAH K. 0000-0003-2315-8727","orcid":"https://orcid.org/0000-0003-2315-8727","contributorId":216428,"corporation":false,"usgs":false,"family":"SWARTZ","given":"LEAH","email":"","middleInitial":"K.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":764741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":764740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":764742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newell, Robert L.","contributorId":146452,"corporation":false,"usgs":false,"family":"Newell","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":16698,"text":"Wilderness Research Institute, 790 East Beckwith Avenue, Missoul","active":true,"usgs":false}],"preferred":false,"id":764743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Winsor H.","contributorId":146455,"corporation":false,"usgs":false,"family":"Lowe","given":"Winsor","email":"","middleInitial":"H.","affiliations":[{"id":5084,"text":"Division of Biological Sciences, University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":764744,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202741,"text":"70202741 - 2019 - Pesticides and pollinators: A socioecological synthesis","interactions":[],"lastModifiedDate":"2019-03-25T08:38:04","indexId":"70202741","displayToPublicDate":"2019-03-22T10:58:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticides and pollinators: A socioecological synthesis","docAbstract":"<p><span>The relationship between pesticides and&nbsp;</span>pollinators<span>, while attracting no shortage of attention from scientists, regulators, and the public, has proven resistant to scientific synthesis and fractious in matters of policy and public opinion. This is in part because the issue has been approached in a compartmentalized and intradisciplinary way, such that evaluations of organismal pesticide effects remain largely disjoint from their upstream drivers and downstream consequences. Here, we present a socioecological framework designed to synthesize the pesticide-pollinator system and inform future scholarship and action. Our framework consists of three interlocking domains-pesticide use, pesticide exposure, and pesticide effects–each consisting of causally linked patterns, processes, and states. We elaborate each of these domains and their linkages, reviewing relevant literature and providing empirical case studies. We then propose guidelines for future pesticide-pollinator scholarship and action agenda aimed at strengthening knowledge in neglected domains and integrating knowledge across domains to provide decision support for stakeholders and policymakers. Specifically, we emphasize (1) stakeholder engagement, (2) mechanistic study of pesticide exposure, (3) understanding the propagation of pesticide effects across levels of organization, and (4) full-cost accounting of the externalities of pesticide use and regulation. Addressing these items will require transdisciplinary collaborations within and beyond the scientific community, including the expertise of farmers,&nbsp;agrochemical&nbsp;developers, and policymakers in an extended peer community.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.01.016","usgsCitation":"Sponsler, D.B., Grozinger, C.M., Hitaj, C., , R., Botias, C., Code, A., Lonsdorf, E.V., Melthapoulos, A.P., Smith, D.J., Suryanarayanan, S., Thogmartin, W.E., Williams, N.M., Zhang, M., and Douglas, M.R., 2019, Pesticides and pollinators: A socioecological synthesis: Science of the Total Environment, v. 662, p. 1012-1027, https://doi.org/10.1016/j.scitotenv.2019.01.016.","productDescription":"16 p.","startPage":"1012","endPage":"1027","ipdsId":"IP-101260","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.01.016","text":"Publisher Index Page"},{"id":362277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"662","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sponsler, Douglas B.","contributorId":214373,"corporation":false,"usgs":false,"family":"Sponsler","given":"Douglas","email":"","middleInitial":"B.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":759747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grozinger, Christina M.","contributorId":214374,"corporation":false,"usgs":false,"family":"Grozinger","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":759748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitaj, Claudia","contributorId":214375,"corporation":false,"usgs":false,"family":"Hitaj","given":"Claudia","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":759749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":" Rundlof 0000-0003-3014-1544","orcid":"https://orcid.org/0000-0003-3014-1544","contributorId":214376,"corporation":false,"usgs":false,"given":"Rundlof","email":"","affiliations":[{"id":35357,"text":"Lund University, Sweden","active":true,"usgs":false}],"preferred":false,"id":759750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Botias, Cristina 0000-0002-3891-9931","orcid":"https://orcid.org/0000-0002-3891-9931","contributorId":214377,"corporation":false,"usgs":false,"family":"Botias","given":"Cristina","email":"","affiliations":[{"id":39026,"text":"Consejería de Agricultura de la Junta de Comunidades de Castilla-La Mancha, Marchamalo, Spain","active":true,"usgs":false}],"preferred":false,"id":759751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Code, Aimee","contributorId":214378,"corporation":false,"usgs":false,"family":"Code","given":"Aimee","email":"","affiliations":[{"id":39027,"text":"Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":759752,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lonsdorf, Eric V.","contributorId":149495,"corporation":false,"usgs":false,"family":"Lonsdorf","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":759753,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melthapoulos, Andony P. 0000-0001-8763-2737","orcid":"https://orcid.org/0000-0001-8763-2737","contributorId":214379,"corporation":false,"usgs":false,"family":"Melthapoulos","given":"Andony","email":"","middleInitial":"P.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":759754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, David J.","contributorId":214380,"corporation":false,"usgs":false,"family":"Smith","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":759755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Suryanarayanan, Sainath 0000-0003-4680-7224","orcid":"https://orcid.org/0000-0003-4680-7224","contributorId":214381,"corporation":false,"usgs":false,"family":"Suryanarayanan","given":"Sainath","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":759756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":759746,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williams, Neal M. 0000-0003-3053-8445","orcid":"https://orcid.org/0000-0003-3053-8445","contributorId":214382,"corporation":false,"usgs":false,"family":"Williams","given":"Neal","email":"","middleInitial":"M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":759757,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhang, Minghua","contributorId":195323,"corporation":false,"usgs":false,"family":"Zhang","given":"Minghua","email":"","affiliations":[],"preferred":false,"id":759758,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Douglas, Margaret R.","contributorId":214383,"corporation":false,"usgs":false,"family":"Douglas","given":"Margaret","email":"","middleInitial":"R.","affiliations":[{"id":39028,"text":"Dickinson College","active":true,"usgs":false}],"preferred":false,"id":759759,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70202736,"text":"70202736 - 2019 - UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows","interactions":[],"lastModifiedDate":"2019-03-25T08:41:22","indexId":"70202736","displayToPublicDate":"2019-03-22T10:54:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows","docAbstract":"<p><span>A new method of unmanned aerial vehicle (UAV)-based tracer tests using RGB (red, green, blue) images was developed in order to acquire the spatio-temporal concentration distribution of tracer clouds in open channel flows. Tracer tests using Rhodamine WT were conducted to collect the RGB images using a commercial digital camera mounted on a UAV, and the concentration of Rhodamine WT using&nbsp;</span><i>in-situ</i><span>&nbsp;fluorometric probes. The correlation analysis showed that the&nbsp;</span><i>in-situ</i><span>measured concentrations of Rhodamine WT were strongly correlated with the digital number (</span><i>DN</i><span>) of the RGB images, even though the response of&nbsp;</span><i>DN</i><span>&nbsp;to the concentration was spatially heterogeneous. The empirical relationship between the&nbsp;</span><i>DN</i><span>&nbsp;values and the Rhodamine WT concentration data was estimated using artificial neural network (ANN) models. The trained ANN models, which consider the effect of water depth and river bed, accurately retrieved the detailed spatio-temporal concentration distributions of all study areas that had an R</span><sup>2</sup><span>&nbsp;higher than 0.9. The acquired spatio-temporal concentration distributions by the proposed method based on the UAV images gave general as well as detailed views of the tracer cloud moving dynamically in open channel flows that cannot be easily observed using conventional&nbsp;</span><i>in-situ</i><span>&nbsp;measurements.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2019.03.007","usgsCitation":"Baek, D., Seo, I.W., Kim, J.S., and Nelson, J.M., 2019, UAV-based measurements of spatio-temporal concentration distributions of fluorescent tracers in open channel flows: Advances in Water Resources, v. 127, p. 76-88, https://doi.org/10.1016/j.advwatres.2019.03.007.","productDescription":"13 p.","startPage":"76","endPage":"88","ipdsId":"IP-102149","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":362275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baek, Donghae","contributorId":214366,"corporation":false,"usgs":false,"family":"Baek","given":"Donghae","email":"","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seo, Il Won","contributorId":214367,"corporation":false,"usgs":false,"family":"Seo","given":"Il","email":"","middleInitial":"Won","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Jun Song","contributorId":214368,"corporation":false,"usgs":false,"family":"Kim","given":"Jun","email":"","middleInitial":"Song","affiliations":[{"id":37780,"text":"Seoul National University","active":true,"usgs":false}],"preferred":false,"id":759730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":759727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202735,"text":"70202735 - 2019 - Fish culling reduces tapeworm burden in Arctic charr by increasing parasite mortality rather than by reducing density‐dependent transmission","interactions":[],"lastModifiedDate":"2019-06-18T11:12:05","indexId":"70202735","displayToPublicDate":"2019-03-22T10:52:29","publicationYear":"2019","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":"Fish culling reduces tapeworm burden in Arctic charr by increasing parasite mortality rather than by reducing density‐dependent transmission","docAbstract":"<ol class=\"\"><li><p>Two common<span>&nbsp;</span><i>Dibothriocephalus</i><span>&nbsp;</span>(formerly<span>&nbsp;</span><i>Diphyllobothrium</i>) tapeworm species were significantly reduced by experimental culling of their fish host Arctic charr (<i>Salvelinus alpinus</i>) in a subarctic lake.</p></li><li><p>Between 1984 and 1991, funnel traps were used to cull ~35 metric tons of Arctic charr, reducing charr density by ~80%. As charr densities decreased, tapeworm prevalence and then intensity also declined over the following three decades, with<span>&nbsp;</span><i>D. dendriticus</i><span>&nbsp;</span>(formerly<span>&nbsp;</span><i>dendriticum</i>) responding faster than<span>&nbsp;</span><i>D. ditremus</i><span>&nbsp;</span>(formerly<span>&nbsp;</span><i>ditremum</i>). The two main hypotheses for how culling a host can decrease parasitism are reductions in parasite transmission due to reduced host density and reductions in parasite survival through increases in host mortality rates.</p></li><li><p>We found little evidence that charr density was the main driver for reduced parasite transmission. Instead, decreased survivorship in charr, initially, through fishing‐induced changes in charr age structure, and later through increased predation rates by brown trout, led to increased parasite mortality. Although brown trout, which increased significantly after fish culling, are also hosts, they are often too big for the final host birds to eat, thus becoming parasite sinks.</p></li><li><p><i>Synthesis and applications</i>. Fish populations with heavy parasite burdens constitute a management problem. Our results show how fish culling can indirectly reduce transmitted parasites through increased parasite mortality. Managing overcrowded fish populations by culling can produce two desirable outcomes: an increase in fish growth rates and reduced parasite burdens.</p></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.13369","usgsCitation":"Henriksen, E.H., Frainer, A., Knudsen, R., Kristoffersen, R., Kuris, A.M., Lafferty, K.D., and Amundsen, P., 2019, Fish culling reduces tapeworm burden in Arctic charr by increasing parasite mortality rather than by reducing density‐dependent transmission: Journal of Applied Ecology, v. 56, no. 6, p. 1482-1491, https://doi.org/10.1111/1365-2664.13369.","productDescription":"10 p.","startPage":"1482","endPage":"1491","ipdsId":"IP-104686","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467788,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10037/16795","text":"External Repository"},{"id":362274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Henriksen, Eirik H.","contributorId":189857,"corporation":false,"usgs":false,"family":"Henriksen","given":"Eirik","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":759721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frainer, Andre","contributorId":214364,"corporation":false,"usgs":false,"family":"Frainer","given":"Andre","email":"","affiliations":[{"id":39020,"text":"Arctic University of Norway, Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":759722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knudsen, Rune","contributorId":189855,"corporation":false,"usgs":false,"family":"Knudsen","given":"Rune","email":"","affiliations":[],"preferred":false,"id":759723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kristoffersen, Roar","contributorId":214365,"corporation":false,"usgs":false,"family":"Kristoffersen","given":"Roar","email":"","affiliations":[{"id":39021,"text":"The Arctic University of Norway","active":true,"usgs":false}],"preferred":false,"id":759724,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuris, Armand M.","contributorId":189859,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":759725,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":759720,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amundsen, Per-Arne","contributorId":203513,"corporation":false,"usgs":false,"family":"Amundsen","given":"Per-Arne","email":"","affiliations":[{"id":18120,"text":"UiT The Arctic University of Norway","active":true,"usgs":false}],"preferred":false,"id":759726,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202742,"text":"70202742 - 2019 - Scale‐dependent effects of isolation on seasonal patch colonisation by two Neotropical freshwater fishes","interactions":[],"lastModifiedDate":"2019-03-25T08:48:53","indexId":"70202742","displayToPublicDate":"2019-03-22T10:50:52","publicationYear":"2019","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}},"title":"Scale‐dependent effects of isolation on seasonal patch colonisation by two Neotropical freshwater fishes","docAbstract":"<p><span>The metapopulation paradigm has been central to improve the conservation and management of natural populations. However, despite the large number of studies on metapopulation dynamics, the overall support for the relationships on which the paradigm is based has not been strong. Here, we studied the occupancy dynamics of two Neotropical fishes (i.e.,&nbsp;</span><i>Pimelodella gracilis</i><span>&nbsp;and&nbsp;</span><i>Leporinus friderici</i><span>) to investigate two fundamental premises of the metapopulation paradigm, that is, that isolation and area/habitat quality affect colonisation and extinction probabilities in predictable ways. In order to do this, we used a modification of occupancy models that allows modelling the probability of a site's occupancy as a function of the occupancy of its neighbourhood. We found a weak positive effect of neighbourhood occupancy on&nbsp;</span><i>P</i><span>.&nbsp;</span><i>gracilis</i><span>&nbsp;colonisation, which is consistent with the propagule rain metapopulation, that is, colonists arriving from outside the studied system. However, we found a strong negative neighbourhood effect on extinction probability, suggesting that declining populations from stream sections are rescued from extinction by neighbouring patches. In contrast, the effect of neighbourhood occupancy on the metapopulation dynamics of&nbsp;</span><i>L.&nbsp;friderici</i><span>&nbsp;was in the opposite direction, affecting positively colonisation but not affecting extinction rates, which is consistent with the classical metapopulation model. In addition, the occupancy dynamics of both species were affected by water velocity. To our knowledge, this is the first study to link directly dispersal to local population dynamics in Neotropical fishes, and one of the few studies doing inferences on spatial population dynamics based on direct estimates of neighbourhood occupancy.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12452","usgsCitation":"Penha, J., Hakamada, K.Y., Hines, J.E., and Nichols, J.D., 2019, Scale‐dependent effects of isolation on seasonal patch colonisation by two Neotropical freshwater fishes: Ecology of Freshwater Fish, v. 28, no. 2, p. 274-284, https://doi.org/10.1111/eff.12452.","productDescription":"11 p.","startPage":"274","endPage":"284","ipdsId":"IP-096324","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":362273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Penha, Jerry","contributorId":214384,"corporation":false,"usgs":false,"family":"Penha","given":"Jerry","email":"","affiliations":[{"id":39029,"text":"Instituto de Biociências, Universidade Federal de Mato Grosso, Brazil","active":true,"usgs":false}],"preferred":false,"id":759761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hakamada, Karlo Y. P.","contributorId":214390,"corporation":false,"usgs":false,"family":"Hakamada","given":"Karlo","email":"","middleInitial":"Y. P.","affiliations":[],"preferred":false,"id":759768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759760,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759762,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215994,"text":"70215994 - 2019 - A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama","interactions":[],"lastModifiedDate":"2020-11-02T15:39:49.210587","indexId":"70215994","displayToPublicDate":"2019-03-22T09:34:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Volcanic ash deposits (tephra) in western Canada are instrumental in providing independent chronologic control for many archaeological and paleoenvironmental sites. In Alberta,&nbsp;tephra&nbsp;are a key chronologic tool in a region where radiocarbon dates are often unreliable because of the prevalence of carbonate-rich&nbsp;bedrock&nbsp;and other “old carbon” sources, such as coal. However, many studies using tephra for age control, particularly archaeological projects, identify tephra simply through field characteristics or light microscopy. In both Alberta and British Columbia, many radiocarbon dates that were used to date key tephra deposits were bulk conventional ages on&nbsp;peat&nbsp;and&nbsp;lake sediments, which are not always reliable. These factors have led to uncertainty in the age and number of Bridge River and Mount St. Helens (MSH) set Y tephra present in the region and incomplete distribution maps. New major-element geochemical analyses from archaeological and sedimentary sites across south-central Alberta, complemented by new analyses of tephra from British Columbia and Saskatchewan, refine the distribution of the Bridge River, MSH Yn and Mazama tephra. New geochemical data, radiocarbon dates, and a detailed overview of proximal MSH set Y stratigraphy and&nbsp;</span>geochemistry<span>&nbsp;</span>show that only one MSH layer, Yn, is present in this region, rather than two MSH set Y tephra as previously suggested. Additionally, re-assessment of age data combined with new geochemical analyses confirm that there is also only one Bridge River tephra. A Bayesian modelled age estimate is determined for MSH Yn based on new AMS dates on the tephra and vetted existing conventional ages, providing a revised age estimate for MSH Yn of 3805–3535 cal BP (mean of 3660 cal BP).</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2019.03.017","usgsCitation":"Jensen, B.J., Beaudoin, A.B., Clynne, M.A., Harvey, J., and Vallance, J.W., 2019, A re-examination of the three most prominent Holocene tephra deposits in western Canada: Bridge River, Mount St. Helens Yn and Mazama: Quaternary International, v. 500, p. 83-95, https://doi.org/10.1016/j.quaint.2019.03.017.","productDescription":"13 p.","startPage":"83","endPage":"95","ipdsId":"IP-104318","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":380028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.24414062499999,\n              39.70718665682654\n            ],\n            [\n              -107.314453125,\n              39.70718665682654\n            ],\n            [\n              -107.314453125,\n              52.908902047770255\n            ],\n            [\n              -125.24414062499999,\n              52.908902047770255\n            ],\n            [\n              -125.24414062499999,\n              39.70718665682654\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"500","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":803715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudoin, Alwynne B.","contributorId":244299,"corporation":false,"usgs":false,"family":"Beaudoin","given":"Alwynne","email":"","middleInitial":"B.","affiliations":[{"id":48883,"text":"Royal Alberta Museum","active":true,"usgs":false}],"preferred":false,"id":803716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Jordan","contributorId":244300,"corporation":false,"usgs":false,"family":"Harvey","given":"Jordan","email":"","affiliations":[{"id":48883,"text":"Royal Alberta Museum","active":true,"usgs":false}],"preferred":false,"id":803718,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":803719,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70202708,"text":"ofr20191022 - 2019 - Southern sea otter (Enhydra lutris nereis) population biology at Big Sur and Monterey, California --Investigating the consequences of resource abundance and anthropogenic stressors for sea otter recovery","interactions":[],"lastModifiedDate":"2019-03-26T08:14:59","indexId":"ofr20191022","displayToPublicDate":"2019-03-22T08:26:33","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1022","displayTitle":"Southern Sea Otter (<em>Enhydra lutris nereis</em>) Population Biology at Big Sur and Monterey, California—Investigating the Consequences of Resource Abundance and Anthropogenic Stressors for Sea Otter Recovery","title":"Southern sea otter (Enhydra lutris nereis) population biology at Big Sur and Monterey, California --Investigating the consequences of resource abundance and anthropogenic stressors for sea otter recovery","docAbstract":"<p>The range of the southern sea otter (<i>Enhydra lutris nereis</i>) spans most of the central California coast from Half Moon Bay to Gaviota. Some coastal areas within this range are heavily developed and highly impacted by humans, while other areas are wild and largely pristine. Determining the relative importance of food resource abundance, environmental conditions, and anthropogenic increases in pathogens and pollutants to population change in sea otters is critical to understanding limitations to population growth. To investigate the causal links between the sluggish population growth of sea otters in central California and factors that could be driving variation in survival and reproduction, we designed a study to compare two distinct subpopulations—one in an area of low human impact (Big Sur) and one in an area of high human impact (Monterey). Between 2008 and 2011, the U.S. Geological Survey and collaborators conducted a telemetry-based study of sea otters at these two locations. The results of this study were not consistent with the hypothesis that sea otters adjacent to human population centers (Monterey) experience higher exposure to pollutants and pathogens than those in lower impacted areas (Big Sur). In fact, based on serological analysis, female sea otters from Big Sur showed higher exposure rates to <i>Toxoplasma gondii</i> than did female otters from Monterey, while domoic acid exposure appeared to be similar at both sites. Gene expression (specifically transcription) analysis did not indicate any consistent differences between the two populations that would have suggested a response to pathogen or toxin exposure, although there were temporal changes in gene transcription for sea otters at Big Sur following potential exposure to run-off from wildfires that occurred during the study. Together, these metrics suggest that variation in exposure to environmental stressors occurred, but patterns were not clearly attributable to differences in human population densities or land-use patterns. When compared to Monterey, sea otters in Big Sur spent more time feeding, had a higher degree of dietary specialization, were in poorer body condition, and had lower survival rates (both pups and adults). Together, these metrics suggest that otters at Big Sur had greater nutritional stress, consistent with lower per-capita resource abundance. Overall, study results indicate that density-dependent population regulation, mediated by per-capita resource abundance, is the most significant factor currently limiting population growth in the center part of the range. Additionally, spatial and temporal variation in environmental and anthropogenic stressors also can affect sea otter health, although patterns of variation are complex and are not simply a function of proximity to human populations. We also found that exposure to environmental stressors (either natural or anthropogenic in origin) often is associated with resource limitation. Finally, our results indicate that sea otter populations are structured at relatively small spatial scales, and the processes that regulate population abundance (including density-dependent resource abundance) also occur at these smaller, more local scales.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191022","usgsCitation":"Tinker, M.T., Tomoleoni, J.A., Weitzman, B.P., Staedler, M., Jessup, D., Murray, M.J., Miller, M., Burgess, T., Bowen, L., Miles, A.K., Thometz, N., Tarjan, L., Golson, E., Batac, F., Dodd, E., Berberich, E., Kunz, J., Bentall, G., Fujii, J., Nicholson, T., Newsome, S., Melli, A., LaRoche, N., MacCormick, H., Johnson, A., Henkel, L., Kreuder-Johnson, C., and Conrad, P., 2019, Southern sea otter (Enhydra lutris nereis) population biology at Big Sur and Monterey, California --Investigating the consequences of resource abundance and anthropogenic stressors for sea otter recovery: U.S. Geological Survey Open-File Report 2019 -1022, 225 p., https://doi.org/10.3133/ofr20191022.","productDescription":"xiv, 225 p.","numberOfPages":"244","onlineOnly":"Y","ipdsId":"IP-066698","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437531,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98B08RO","text":"USGS data release","linkHelpText":"Sea Otter Capture Data from the Big Sur-Monterey Study (2008-2011)"},{"id":362213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1022/coverthb.jpg"},{"id":362214,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1022/ofr20191022.pdf","text":"Report","size":"16.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1022"}],"country":"United States","state":"California","otherGeospatial":"Monterey, Big Sur","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.02651977539062,\n              36.488661268293136\n            ],\n            [\n              -121.74774169921875,\n              36.488661268293136\n            ],\n            [\n              -121.74774169921875,\n              36.677230602346214\n            ],\n            [\n              -122.02651977539062,\n              36.677230602346214\n            ],\n            [\n              -122.02651977539062,\n              36.488661268293136\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.95098876953125,\n              36.2165791734887\n            ],\n            [\n              -121.74636840820312,\n              36.2165791734887\n            ],\n            [\n              -121.74636840820312,\n              36.3693276982337\n            ],\n            [\n              -121.95098876953125,\n              36.3693276982337\n            ],\n            [\n              -121.95098876953125,\n              36.2165791734887\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.werc.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.werc.usgs.gov/\">Western Ecological Research Center</a><br>U.S. Geological Survey<br>3020 State University Drive<br>Modoc Hall, Room 4004<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Chapters 1—11</li><li>Acknowledgments</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2019-03-22","noUsgsAuthors":false,"publicationDate":"2019-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":214291,"corporation":false,"usgs":true,"family":"Tinker","given":"M. 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,{"id":70222523,"text":"70222523 - 2019 - Snowmelt-triggered earthquake swarms at the margin of Long Valley Caldera, California","interactions":[],"lastModifiedDate":"2021-08-03T13:08:55.847945","indexId":"70222523","displayToPublicDate":"2019-03-22T08:02:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Snowmelt-triggered earthquake swarms at the margin of Long Valley Caldera, California","docAbstract":"<div class=\"article-section__content en main\"><p>Fluids are well known to influence earthquakes, yet rarely are earthquakes convincingly linked to precipitation. Weak modulation or limited data often leads to ambiguous interpretations. In contrast, here we find that shallow seismicity in the Sierra Nevada range near Long Valley Caldera is strongly modulated by snowmelt. Over 33&nbsp;years, shallow seismicity rates were ~37 times higher during very wet periods versus very dry periods. Relative earthquake relocations from a swarm in 2017 reveal downward migration from ~1- to 3-km depth along a steeply inclined plane. Steeply dipping strata may provide high-permeability pathways and faulting plane. Here we combine the correlated seismicity and hydrologic time series with the propagation observed in the relatively relocated earthquakes. From this combined evidence, we infer that pressure diffusion from groundwater recharge dramatically accelerated shallow seismicity rates, causing seismic swarms unrelated to volcanic processes.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019GL082254","usgsCitation":"Montgomery-Brown, E.K., Shelly, D.R., and Hsieh, P.A., 2019, Snowmelt-triggered earthquake swarms at the margin of Long Valley Caldera, California: Geophysical Research Letters, v. 46, no. 7, p. 3698-3705, https://doi.org/10.1029/2019GL082254.","productDescription":"7 p.","startPage":"3698","endPage":"3705","ipdsId":"IP-096033","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":387655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley Caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.970703125,\n              35.24561909420681\n            ],\n            [\n              -115.7080078125,\n              35.24561909420681\n            ],\n            [\n              -115.7080078125,\n              38.238180119798635\n            ],\n            [\n              -119.970703125,\n              38.238180119798635\n            ],\n            [\n              -119.970703125,\n              35.24561909420681\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"7","noUsgsAuthors":false,"publicationDate":"2019-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":820458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":820460,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202730,"text":"70202730 - 2019 - Stream metabolism increases with drainage area and peaks asynchronously across a stream network","interactions":[],"lastModifiedDate":"2019-03-26T08:16:07","indexId":"70202730","displayToPublicDate":"2019-03-21T16:36:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":873,"text":"Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Stream metabolism increases with drainage area and peaks asynchronously across a stream network","docAbstract":"<p><span>Quantifying the spatial and temporal dynamics of stream metabolism across stream networks is key to understanding carbon cycling and stream food web ecology. To better understand intra-annual temporal patterns of gross primary production (GPP) and ecosystem respiration (ER) and their variability across space, we continuously measured dissolved oxygen and modeled stream metabolism for an entire year at ten sites across a temperate river network in Washington State, USA. We expected GPP and ER to increase with stream size and peak during summer and autumn months due to warmer temperatures and higher light availability. We found that GPP and ER increased with drainage area and that only four sites adhered to our expectations of summer peaks in GPP and autumn peaks in ER while the rest either peaked in winter, spring or remained relatively constant. Our results suggest the spatial arrangement and temporal patterns of discharge, temperature, light and nutrients within watersheds may result in asynchronies in GPP and ER, despite similar regional climatic conditions. These findings shed light on how temporal dynamics of stream metabolism can shift across a river network, which likely influence the dynamics of carbon cycling and stream food webs at larger scales.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00027-018-0606-z","usgsCitation":"Mejia, F.H., Fremier, A.K., Benjamin, J.R., Bellmore, J., Grimm, A.Z., Watson, G., and Newsom, M., 2019, Stream metabolism increases with drainage area and peaks asynchronously across a stream network: Aquatic Sciences, v. 81, p. 1-17, https://doi.org/10.1007/s00027-018-0606-z.","productDescription":"Article 9, 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-086489","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":362255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.38818359375,\n              48.11476663187632\n            ],\n            [\n              -119.79080200195311,\n              48.11476663187632\n            ],\n            [\n              -119.79080200195311,\n              48.539341045937974\n            ],\n            [\n              -120.38818359375,\n              48.539341045937974\n            ],\n            [\n              -120.38818359375,\n              48.11476663187632\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Mejia, Francine H. 0000-0003-4447-231X","orcid":"https://orcid.org/0000-0003-4447-231X","contributorId":214345,"corporation":false,"usgs":true,"family":"Mejia","given":"Francine","email":"","middleInitial":"H.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":759692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fremier, Alexander K.","contributorId":214346,"corporation":false,"usgs":false,"family":"Fremier","given":"Alexander","email":"","middleInitial":"K.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":759693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":759694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bellmore, J. Ryan jbellmore@usgs.gov","contributorId":4527,"corporation":false,"usgs":true,"family":"Bellmore","given":"J. Ryan","email":"jbellmore@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":759695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, Adrianne Z.","contributorId":214347,"corporation":false,"usgs":false,"family":"Grimm","given":"Adrianne","email":"","middleInitial":"Z.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":759696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watson, Grace A.","contributorId":214348,"corporation":false,"usgs":false,"family":"Watson","given":"Grace A.","affiliations":[{"id":39012,"text":"Methow Salmon Recovery Foundation","active":true,"usgs":false}],"preferred":false,"id":759697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Newsom, Michael","contributorId":178562,"corporation":false,"usgs":false,"family":"Newsom","given":"Michael","affiliations":[],"preferred":false,"id":759698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70202725,"text":"70202725 - 2019 - Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra","interactions":[],"lastModifiedDate":"2019-03-21T14:47:38","indexId":"70202725","displayToPublicDate":"2019-03-21T14:11:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra","docAbstract":"<p><span>High-latitude warming is capable of accelerating permafrost degradation and the decomposition of previously frozen carbon. The existence of an analogous high-altitude feedback, however, has yet to be directly evaluated. We address this knowledge gap by coupling a radiocarbon-based model to 7 years (2008–2014) of continuous eddy covariance data from a snow-scoured alpine tundra meadow in Colorado, USA, where solifluction lobes are associated with discontinuous permafrost. On average, the ecosystem was a net annual source of 232 ± 54 g C m</span><sup>−2</sup><span>&nbsp;(mean ± 1 standard deviation) to the atmosphere, and respiration of relatively radiocarbon-depleted (i.e., older) substrate contributes to carbon emissions during the winter. Given that alpine soils with permafrost occupy 3.6 × 10</span><sup>6</sup><span>&nbsp;km</span><sup>2</sup><span>&nbsp;land area and are estimated to contain 66.3 Pg of soil organic carbon (4.5% of the global pool), this scenario has global implications for the mountain carbon balance and corresponding resource allocation to lower elevations.</span></p>","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/s41467-019-09149-2","usgsCitation":"Knowles, J.F., Blanken, P.D., Lawrence, C., and Williams, M.W., 2019, Evidence for non-steady-state carbon emissions from snow-scoured alpine tundra: Nature Communications, v. 10, Article number: 1306; 9 p., https://doi.org/10.1038/s41467-019-09149-2.","productDescription":"Article number: 1306; 9 p.","ipdsId":"IP-101783","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460433,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-09149-2","text":"Publisher Index Page"},{"id":362250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Niwot Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.62410354614256,\n              40.052322006146916\n            ],\n            [\n              -105.56985855102538,\n              40.052322006146916\n            ],\n            [\n              -105.56985855102538,\n              40.07045271464657\n            ],\n            [\n              -105.62410354614256,\n              40.07045271464657\n            ],\n            [\n              -105.62410354614256,\n              40.052322006146916\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, John F.","contributorId":203853,"corporation":false,"usgs":false,"family":"Knowles","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":759656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blanken, Peter D.","contributorId":189305,"corporation":false,"usgs":false,"family":"Blanken","given":"Peter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":759657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Corey 0000-0002-2179-2436","orcid":"https://orcid.org/0000-0002-2179-2436","contributorId":214331,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":759655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Mark W.","contributorId":214082,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":759658,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204977,"text":"70204977 - 2019 - A cautionary tale of topography and tilt from Kilauea Caldera","interactions":[],"lastModifiedDate":"2019-08-28T09:18:23","indexId":"70204977","displayToPublicDate":"2019-03-21T13:52:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A cautionary tale of topography and tilt from Kilauea Caldera","docAbstract":"We conduct finite element analysis to investigate the effect of sharp topography on surface ground deformation caused by pressure changes in a magma reservoir. Tilt data express the horizontal gradient of vertical displacement and therefore can emphasize small variations in deformation that go unnoticed using other methods. We find that the vertical displacement profile at a surface with a cliff can be thought of as the superposition of the deformation from shallow and deeper sources. This combination can create a small peak in vertical displacement that acts as a pseudo‐source, creating a reversal of the deformation gradient and therefore anomalous tilt magnitude and a rotation of up to 180°. We apply these models to Kīlauea Caldera and find that surface geometry creates a tilt rotation of ∼10°, partially explaining anomalous tilt that has been observed. Our analysis highlights the importance of considering topography when assessing tilt measurements at active volcanoes.","language":"English","publisher":"Wiley","doi":"10.1029/2018GL081757","usgsCitation":"Johnson, J.A., Poland, M.P., Anderson, K.R., and Biggs, J., 2019, A cautionary tale of topography and tilt from Kilauea Caldera: Geophysical Research Letters, v. 46, no. 8, p. 4221-4229, https://doi.org/10.1029/2018GL081757.","productDescription":"9 p.","startPage":"4221","endPage":"4229","ipdsId":"IP-104361","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467789,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2018gl081757","text":"External Repository"},{"id":366969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3360366821289,\n              19.34969555223576\n            ],\n            [\n              -155.20179748535153,\n              19.34969555223576\n            ],\n            [\n              -155.20179748535153,\n              19.449111649832837\n            ],\n            [\n              -155.3360366821289,\n              19.449111649832837\n            ],\n            [\n              -155.3360366821289,\n              19.34969555223576\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Jessica A.","contributorId":149712,"corporation":false,"usgs":false,"family":"Johnson","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":769381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":146118,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":769382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggs, Juliet","contributorId":206389,"corporation":false,"usgs":false,"family":"Biggs","given":"Juliet","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":769383,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202720,"text":"70202720 - 2019 - Cryptosporidium incidence and surface water influence of groundwater supplying public water systems in Minnesota, USA","interactions":[],"lastModifiedDate":"2019-06-18T11:08:36","indexId":"70202720","displayToPublicDate":"2019-03-21T13:08:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Cryptosporidium incidence and surface water influence of groundwater supplying public water systems in Minnesota, USA","docAbstract":"Regulations for public water systems (PWS) in the U.S. consider Cryptosporidium a microbial contaminant of surface water supplies. Ground- water is assumed free of Cryptosporidium unless surface water is entering supply wells. We determined the incidence of Cryptosporidium in PWS wells varying in surface water influence. Community and noncommunity PWS wells (n = 145) were sampled (n = 964) and analyzed for Cryptosporidium by qPCR and immunofluorescence assay (IFA). Surface water influence was assessed by stable isotopes and the expert judgment of hydrogeologists using site-specific data. Fifty-eight wells (40%) and 107 samples (11%) were Cryptosporidium- positive  by  qPCR,  and  of  these  samples  67  were  positive  by  IFA. Cryptosporidium concentrations measured by qPCR and IFA were significantly\ncorrelated (p < 0.001). Cryptosporidium incidence was not associated with surface water influence as assessed by stable isotopes or expert judgment. We successfully sequenced 45 of the 107 positive samples to identify species, including C. parvum (41), C. andersoni (2), and C. hominis (2), and the predominant subtype was C. parvum IIa A17G2R1. Assuming USA regulations for surface water-supplied PWS were applicable to the study wells, wells positive for Cryptosporidium by IFA would likely be required to add treatment. Cryptosporidium is not uncommon in groundwater, even when surface water influence is absent.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.8b05446","usgsCitation":"Stokdyk, J.P., Spencer, S., Walsh, J.F., de Lambert, J.R., Fimstahl, A., Anderson, A., Rezania, L.W., and Borchardt, M.A., 2019, Cryptosporidium incidence and surface water influence of groundwater supplying public water systems in Minnesota, USA: Environmental Science & Technology, v. 23, no. 7, p. 3391-3398, https://doi.org/10.1021/acs.est.8b05446.","productDescription":"8 p.","startPage":"3391","endPage":"3398","ipdsId":"IP-102064","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":362245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"23","issue":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":759667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":759668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Lambert, Jane R.","contributorId":214334,"corporation":false,"usgs":false,"family":"de Lambert","given":"Jane","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":759669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fimstahl, Aaron D. 0000-0003-2686-7596","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":214335,"corporation":false,"usgs":false,"family":"Fimstahl","given":"Aaron D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":759670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Anita C.","contributorId":214336,"corporation":false,"usgs":false,"family":"Anderson","given":"Anita C.","affiliations":[],"preferred":false,"id":759671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rezania, Lih-in W.","contributorId":214337,"corporation":false,"usgs":false,"family":"Rezania","given":"Lih-in","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":759672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":210973,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":759673,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70209267,"text":"70209267 - 2019 - Comparison of methods to examine diet of feral horses from non-invasively collected fecal samples","interactions":[],"lastModifiedDate":"2020-03-26T13:09:26","indexId":"70209267","displayToPublicDate":"2019-03-21T13:05:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of methods to examine diet of feral horses from non-invasively collected fecal samples","docAbstract":"<p><span>Feral horses&nbsp;</span><i>(Equus ferus caballus)</i><span>&nbsp;have become abundant on&nbsp;public lands&nbsp;in the American West, particularly over the past 10 yr. In areas where they are overabundant, there is risk of habitat degradation. Most previous studies on diet and habitat use of feral horses were conducted more than 20 yr ago;&nbsp;rangelands&nbsp;have changed considerably in that time, so it is useful to revisit horse diets. We conducted a study to examine the diet of feral horses using noninvasive methods and subjectively compare diet analysis techniques. We collected feral horse fecal samples from a sagebrush/pinyon-juniper ecosystem in Colorado in May, August, and October 2014. We analyzed 30 fecal samples from each collection session by both microhistology and plant&nbsp;DNA barcoding. Both microhistology and plant DNA barcoding results indicated horse diet consisted primarily of&nbsp;graminoids&nbsp;(78.5% and 68.8%, respectively, both of which are in greater proportion than availability based on ecological site descriptions); however, the two methods differed in species composition of grasses. Similar to other studies, microhistological analyses underestimated the proportion of&nbsp;forbs&nbsp;in the diet compared with plant DNA barcoding analyses, which showed a surprisingly high contribution of forbs to the diet compared with previous studies. Our results suggest plant DNA barcoding analyses have great potential, although both methods have inherent biases.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2019.02.005","usgsCitation":"King, S., and Schoenecker, K.A., 2019, Comparison of methods to examine diet of feral horses from non-invasively collected fecal samples: Rangeland Ecology and Management, v. 72, no. 4, p. 661-666, https://doi.org/10.1016/j.rama.2019.02.005.","productDescription":"6 p.","startPage":"661","endPage":"666","ipdsId":"IP-092648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467790,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2019.02.005","text":"Publisher Index Page"},{"id":437532,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VLB2YZ","text":"USGS data release","linkHelpText":"Fecal samples collected in May, August, and October 2014 from Little Book Cliffs Herd Management Area, Colorado, for determination of diet, persistence of DNA in the environment, individual identity, and seed germination."},{"id":373557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Grand Junction","otherGeospatial":"Little Book Cliffs Wild Horse Herd Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.51882934570312,\n              39.12473362566029\n            ],\n            [\n              -108.29910278320312,\n              39.12473362566029\n            ],\n            [\n              -108.29910278320312,\n              39.29498546816049\n            ],\n            [\n              -108.51882934570312,\n              39.29498546816049\n            ],\n            [\n              -108.51882934570312,\n              39.12473362566029\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R.B.","contributorId":127791,"corporation":false,"usgs":false,"family":"King","given":"Sarah R.B.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":785635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785634,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209269,"text":"70209269 - 2019 - Potential spread of cheatgrass (Bromus tectorum) by feral horses (Equus ferus caballus) in Western Colorado","interactions":[],"lastModifiedDate":"2020-03-26T13:04:12","indexId":"70209269","displayToPublicDate":"2019-03-21T12:58:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential spread of cheatgrass (<i>Bromus tectorum</i>) by feral horses (<i>Equus ferus caballus</i>) in Western Colorado","title":"Potential spread of cheatgrass (Bromus tectorum) by feral horses (Equus ferus caballus) in Western Colorado","docAbstract":"<p><span>The invasive grass&nbsp;cheatgrass&nbsp;(</span><i>Bromus tectorum</i><span>&nbsp;L.) presents major challenges for land management and habitat conservation in the western United States. Feral horses&nbsp;</span><i>(Equus ferus caballus)</i><span>&nbsp;have become overabundant in some areas of the West and can impact fragile semiarid ecosystems. Amid ongoing efforts to control cheatgrass in the Great Basin, we conducted a study to determine if feral horses contribute to the spread of cheatgrass through distribution via their feces. We collected feral horse fecal samples from Little Book Cliffs Herd Management Area in western Colorado in 2014. Fecal samples were dried, and 20 from each of 3 collection sessions were cultivated to examine&nbsp;germination&nbsp;success. Six species germinated from 18 samples (30%; mostly one plant per sample where germination occurred), including cheatgrass from 8% of samples. In a separate study we examined the diet of this same horse population using fecal plant&nbsp;DNA barcoding. Plant species that germinated were rare in the diet and germinated from fewer samples than expected relative to their detection in the diet. Our results suggest that feral horses could be contributing to cheatgrass propagation. Native&nbsp;ungulates&nbsp;and domestic cattle also have this potential. Although management of all large ungulates is necessary to mitigate cheatgrass spread, control of feral horse numbers is particularly necessary.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2019.02.006","usgsCitation":"King, S., Schoenecker, K.A., and Manier, D.J., 2019, Potential spread of cheatgrass (Bromus tectorum) by feral horses (Equus ferus caballus) in Western Colorado: Rangeland Ecology and Management, v. 72, no. 4, p. 706-710, https://doi.org/10.1016/j.rama.2019.02.006.","productDescription":"5 p.","startPage":"706","endPage":"710","ipdsId":"IP-095248","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2019.02.006","text":"Publisher Index Page"},{"id":373556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Grand Rapids","otherGeospatial":"Little Book Cliffs Herd Management Aarea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.51882934570312,\n              39.12473362566029\n            ],\n            [\n              -108.29910278320312,\n              39.12473362566029\n            ],\n            [\n              -108.29910278320312,\n              39.29498546816049\n            ],\n            [\n              -108.51882934570312,\n              39.29498546816049\n            ],\n            [\n              -108.51882934570312,\n              39.12473362566029\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R.B.","contributorId":127791,"corporation":false,"usgs":false,"family":"King","given":"Sarah R.B.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":785641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X schoeneckerk@usgs.gov","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":2001,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn","email":"schoeneckerk@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manier, Daniel J. 0000-0002-1105-1327 manierd@usgs.gov","orcid":"https://orcid.org/0000-0002-1105-1327","contributorId":127553,"corporation":false,"usgs":true,"family":"Manier","given":"Daniel","email":"manierd@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":785642,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70202793,"text":"70202793 - 2019 - Relative abundance and molecular evolution of Lake Sinai Virus (Sinaivirus) clades","interactions":[],"lastModifiedDate":"2019-03-28T10:36:45","indexId":"70202793","displayToPublicDate":"2019-03-21T11:08:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Relative abundance and molecular evolution of Lake Sinai Virus (Sinaivirus) clades","docAbstract":"<div class=\"abstract\"><p><span>Lake Sinai Viruses (Sinaivirus) are commonly detected in honey bees (</span><i>Apis mellifera</i><span>) but no disease phenotypes or fitness consequences have yet been demonstrated. This viral group is genetically diverse, lacks obvious geographic structure, and multiple lineages can co-infect individual bees. While phylogenetic analyses have been performed, the molecular evolution of LSV has not been studied extensively. Here, I use LSV isolates from GenBank as well as contigs assembled from honey bee Sequence Read Archive (SRA) accessions to better understand the evolutionary history of these viruses. For each ORF, substitution rate variation, codon usage, and tests of positive selection were evaluated. Outlier regions of high or low diversity were sought with sliding window analysis and the role of recombination in creating LSV diversity was explored. Phylogenetic analysis consistently identified two large clusters of sequences that correspond to the current LSV1 and LSV2 nomenclature, however lineages sister to LSV1 were the most frequently detected in honey bee SRA accessions. Different expression levels among ORFs suggested the occurrence of subgenomic transcripts. ORF1 and RNA-dependent RNA polymerase had higher evolutionary rates than the capsid and ORF4. A hypervariable region of the ORF1 protein-coding sequence was identified that had reduced selective constraint, but a site-based model of positive selection was not significantly more likely than a neutral model for any ORF. The only significant recombination signals detected between LSV1 and LSV2 initiated within this hypervariable region, but assumptions of the test (single-frame coding and independence of substitution rate by site) were violated. LSV codon usage differed strikingly from that of honey bees and other common honey-bee viruses, suggesting LSV is not strongly co-evolved with that host. LSV codon usage was significantly correlated with that of&nbsp;</span><i>Varroa destructor</i><span>, however, despite the relatively weak codon bias exhibited by the latter. While codon usage between the LSV1 and LSV2 clusters was similar for three ORFs, ORF4 codon usage was uncorrelated between these clades, implying rapid divergence of codon use for this ORF only. Phylogenetic placement and relative abundance of LSV isolates reconstructed from SRA accessions suggest that detection biases may be over-representing LSV1 and LSV2 in public databases relative to their sister lineages.</span></p></div>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.6305","usgsCitation":"Cornman, R.S., 2019, Relative abundance and molecular evolution of Lake Sinai Virus (Sinaivirus) clades: PeerJ, v. 7, e6305; 19 p., https://doi.org/10.7717/peerj.6305.","productDescription":"e6305; 19 p.","ipdsId":"IP-102658","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.6305","text":"Publisher Index Page"},{"id":437533,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F4YR6P","text":"USGS data release","linkHelpText":"Metagenomic detection and reconstruction of Lake Sinai Virus from honey bee sequence data"},{"id":362332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70204902,"text":"70204902 - 2019 - A supervolcano and its sidekicks: A 100 ka eruptive chronology of the Fish Canyon Tuff and associated units of the La Garita magmatic system","interactions":[],"lastModifiedDate":"2019-08-23T10:56:36","indexId":"70204902","displayToPublicDate":"2019-03-21T10:41:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"A supervolcano and its sidekicks: A 100 ka eruptive chronology of the Fish Canyon Tuff and associated units of the La Garita magmatic system","docAbstract":"Establishing temporal constrains on major volcanic eruptions is limited by the precision of existing geochronometers. Prior work on the La Garita caldera, created by the eruption of the Fish Canyon Tuff, failed to resolve temporal differences between pre-, syn-, and post-collapse eruptive units. Here, we report 40Ar/39Ar geochronologic data supporting a ca. 100 ka eruptive history of the La Garita caldera, and resolving the timing of the precaldera Pagosa Peak Dacite , syncaldera Fish Canyon Tuff, and postcaldera Dacite of Nutras Creek. Minimizing uncertainty in neutron fluence by rotating samples during irradiation and employing Bayesian statistical interpretation of analytical data enables resolution of the ca. 60 ka precaldera eruptive history and a hiatus of 0 - 20 ka prior to the eruption of postcaldera lavas. The improved precision demonstrated using these methods provides previously unresolvable temporal constraints on physical processes in the La Garita magmatic system and underscores the potential of unraveling other closely-spaced events in geologic time.","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/G45898.1","usgsCitation":"Morgan, L.E., Johnstone, S., Gilmer, A.K., Cosca, M.A., and Thompson, R., 2019, A supervolcano and its sidekicks: A 100 ka eruptive chronology of the Fish Canyon Tuff and associated units of the La Garita magmatic system: Geology, v. 47, no. 5, p. 453-456, https://doi.org/10.1130/G45898.1.","productDescription":"4 p.","startPage":"453","endPage":"456","ipdsId":"IP-099906","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460435,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g45898.1","text":"Publisher Index Page"},{"id":366849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":768951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":768952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":768953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":768954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thompson, Ren A. 0000-0002-3044-3043","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":207982,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":768955,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227919,"text":"70227919 - 2019 - Validating the performance of occupancy models for estimating habitat use and predicting the distribution of highly-mobile species: A case study using the American black bear","interactions":[],"lastModifiedDate":"2022-02-02T16:21:43.226849","indexId":"70227919","displayToPublicDate":"2019-03-21T10:04:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Validating the performance of occupancy models for estimating habitat use and predicting the distribution of highly-mobile species: A case study using the American black bear","docAbstract":"<p><span>Occupancy models have become a valuable tool for estimating wildlife-habitat relationships and for predicting species distributions. Highly-mobile species often violate the assumption that sampling units are geographically closed shifting the probability of occupancy to be interpreted as the probability of use. We used occupancy models, in conjunction with noninvasive sampling, to estimate habitat use and predict the distribution of a highly-mobile carnivore, the&nbsp;American black bear&nbsp;(</span><i>Ursus americanus</i><span>) in New Mexico, USA. The top model indicated that black bears use areas with higher primary productivity and fewer roads. The predictive performance of such models is rarely validated with independent data, so we validated our model predictions with 2-independent datasets. We first assessed the correlation between predicted and observed habitat use for 28 telemetry-collared bears in the Jemez Mountains. Predicted habitat use was positively correlated with observed use for all 3 years (2012: ρ = 0.81; 2013: ρ = 0.87; 2014: ρ = 0.90). We then predicted the probability of use within a cell where a bear mortality was documented using 2043 mortality locations from sport harvest, depredation, and vehicle collisions. The probability of habitat use at a mortality location was also positively correlated with observed use by the species (2012: ρ = 0.74; 2013: ρ = 0.89; 2014: ρ = 0.93). Our validation procedure supports the notion that occupancy models can be an effective tool for estimating habitat use and predicting the distribution of highly-mobile species when the assumption of geographic closure has been violated. Our findings may be of interest to studies that are estimating habitat use for highly-mobile species that are secretive or rare, difficult to capture, or expensive to monitor with other more intensive methods.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2019.03.010","usgsCitation":"Gould, M.J., Gould, W., Cain, J.W., and Roemer, G.W., 2019, Validating the performance of occupancy models for estimating habitat use and predicting the distribution of highly-mobile species: A case study using the American black bear: Biological Conservation, v. 234, p. 28-36, https://doi.org/10.1016/j.biocon.2019.03.010.","productDescription":"9 p.","startPage":"28","endPage":"36","ipdsId":"IP-099292","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Sangre de Cristo, Sacramento, and Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.479248046875,\n              32.37996146435729\n            ],\n            [\n              -104.83154296875,\n              32.37996146435729\n            ],\n            [\n              -104.83154296875,\n              36.712467243386264\n            ],\n            [\n              -107.479248046875,\n              36.712467243386264\n            ],\n            [\n              -107.479248046875,\n              32.37996146435729\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"234","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gould, Matthew J.","contributorId":201504,"corporation":false,"usgs":false,"family":"Gould","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":832573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William R.","contributorId":244516,"corporation":false,"usgs":false,"family":"Gould","given":"William R.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":832574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roemer, Gary W.","contributorId":273109,"corporation":false,"usgs":false,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":832576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202482,"text":"sir20195013 - 2019 - Hydraulic conductivity estimates from slug tests in the Big Sioux aquifer near Sioux Falls, South Dakota","interactions":[],"lastModifiedDate":"2019-03-26T08:18:03","indexId":"sir20195013","displayToPublicDate":"2019-03-21T09:45:09","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5013","displayTitle":"Hydraulic Conductivity Estimates from Slug Tests in the Big Sioux Aquifer Near Sioux Falls, South Dakota","title":"Hydraulic conductivity estimates from slug tests in the Big Sioux aquifer near Sioux Falls, South Dakota","docAbstract":"<p>Hydraulic conductivity estimates were made for 15 observation wells using slug-out (rising-head) tests in the Big Sioux aquifer near Sioux Falls, South Dakota, as part of a cooperative study with the City of Sioux Falls to characterize the hydrogeology and the extent of the Big Sioux aquifer north of the city. Well and aquifer data were collected from field measurements and drillers’ logs. Multiple slug tests were completed at each observation well with a transducer to record the change in water level and a U.S. Geological Survey standard mechanical slug to displace the well’s water column. In total, 110 slug-out test trials were completed among the 15 observation wells. Hydraulic conductivity was estimated by curve fitting with AQTESOLV Pro version 4.50.002. Hydraulic conductivity estimates ranged from 64 to 379 feet per day (ft/d). The mean, standard deviation, and median hydraulic conductivity for the 110 slug-out test trials were 171 ft/d, 73 ft/d, and 157 ft/d, respectively. The mean hydraulic conductivity calculated for each well ranged from 88 to 270 ft/d, the standard deviation ranged from 7 to 66 ft/d, and the median hydraulic conductivity ranged from 86 to 256 ft/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195013","collaboration":"Prepared in cooperation with the City of Sioux Falls","usgsCitation":"Eldridge, W.G., and Medler, C.J., 2019, Hydraulic conductivity estimates from slug tests in the Big Sioux Aquifer near Sioux Falls, South Dakota: U.S. Geological Survey Scientific Investigations Report 2019–5013, 23 p., https://doi.org/10.3133/sir20195013.","productDescription":"Report: v, 24 p., Data Release","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-100666","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":362206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5013/coverthb.jpg"},{"id":362207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5013/sir20195013.pdf","text":"Report","size":"1.58 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5013"},{"id":362208,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LUB44J","text":"USGS data release","linkHelpText":"Water-level data and AQTESOLV Pro analysis results for slug tests in the Big Sioux Aquifer, Sioux Falls, South Dakota, 2017"}],"country":"United States","state":"South Dakota","city":"Sioux Falls","otherGeospatial":"Big Sioux Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.846997999996,\n              43.462111\n            ],\n            [\n              -96.846997999996,\n              43.836203\n            ],\n            [\n              -96.636738000004,\n              43.836203\n            ],\n            [\n              -96.636738000004,\n              43.462111\n            ],\n            [\n              -96.846997999996,\n              43.462111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Field Methods</li><li>Analytical Methods</li><li>Hydraulic Conductivity Estimates</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Well Diagrams</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-03-21","noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medler, Colton J. 0000-0001-6119-5065","orcid":"https://orcid.org/0000-0001-6119-5065","contributorId":201463,"corporation":false,"usgs":true,"family":"Medler","given":"Colton","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":758794,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203367,"text":"70203367 - 2019 - Extreme reduction in nutritional value of a key forage fish during the Pacific marine heatwave of 2014–2016","interactions":[],"lastModifiedDate":"2019-05-09T08:57:34","indexId":"70203367","displayToPublicDate":"2019-03-21T09:31:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Extreme reduction in nutritional value of a key forage fish during the Pacific marine heatwave of 2014–2016","docAbstract":"<p class=\"abstract_block\">Pacific sand lance<span>&nbsp;</span><i>Ammodytes personatus</i><span>&nbsp;</span>are a key forage fish in the North Pacific for many species of salmon, groundfish, seabirds, and marine mammals and have historically been important to predators in relatively warm years. However, extreme declines in the nutritional value of sand lance in Prince William Sound, Alaska, USA, during 2012-2016 indicate that energy transfer from lower trophic levels to predators via sand lance may have been disrupted during the North Pacific marine heatwave in 2015 and 2016. Nutritional value (length, energy density, and whole-body energy) was measured in age-0 and age-1 sand lance collected during July in cool (2012-2013) and increasingly warm (2014-2016) years. The value of age-0 fish was relatively stable, with only minor differences among years for length and whole-body energy. By contrast, the value of age-1 fish significantly declined in 2015, and by 2016 they were 38% shorter and 13% lower in energy density compared to cooler years. This contributed to significant declines in whole-body energy of 44% in 2015 and 89% in 2016 compared to cooler years (2012-2014). The 2015 sand lance cohort experienced little growth or lipid accumulation from July 2015 at age-0 to July 2016 at age-1. This effective disruption of energy flow through pelagic food webs probably contributed to population declines and/or breeding failures observed among several predators in the Gulf of Alaska and suggests that tipping points were reached during the heatwave.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps12891","usgsCitation":"von Biela, V.R., Arimitsu, M.L., Piatt, J.F., Heflin, B., Schoen, S.K., Trowbridge, J., and Clawson, C., 2019, Extreme reduction in nutritional value of a key forage fish during the Pacific marine heatwave of 2014–2016: Marine Ecology Progress Series, v. 613, p. 171-182, https://doi.org/10.3354/meps12891.","productDescription":"12 p.","startPage":"171","endPage":"182","ipdsId":"IP-101543","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":467793,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps12891","text":"Publisher Index Page"},{"id":437534,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96N5PVE","text":"USGS data release","linkHelpText":"Pacific Sand Lance Energy Density, Length, and Age, Prince William Sound, Alaska, 2012-2016"},{"id":363578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"613","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":762341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":762343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heflin, Brielle 0000-0002-4836-9187 bheflin@usgs.gov","orcid":"https://orcid.org/0000-0002-4836-9187","contributorId":198164,"corporation":false,"usgs":true,"family":"Heflin","given":"Brielle","email":"bheflin@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoen, Sarah K. 0000-0002-5685-5185 sschoen@usgs.gov","orcid":"https://orcid.org/0000-0002-5685-5185","contributorId":5136,"corporation":false,"usgs":true,"family":"Schoen","given":"Sarah","email":"sschoen@usgs.gov","middleInitial":"K.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":762345,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Trowbridge, Jannelle","contributorId":215435,"corporation":false,"usgs":false,"family":"Trowbridge","given":"Jannelle","affiliations":[{"id":37194,"text":"University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":762346,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clawson, Chelsea","contributorId":215436,"corporation":false,"usgs":false,"family":"Clawson","given":"Chelsea","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":762347,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70216029,"text":"70216029 - 2019 - Quantitative coseismic and precipitation-induced landslide risk mapping for the country of Lebanon","interactions":[],"lastModifiedDate":"2020-11-05T13:01:03.14155","indexId":"70216029","displayToPublicDate":"2019-03-21T07:44:33","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quantitative coseismic and precipitation-induced landslide risk mapping for the country of Lebanon","docAbstract":"<div id=\"texttabcontent\" class=\"tab-pane no-scroll show-content left-sided\" aria-labelledby=\"texttab\"><div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>Quantitative landslide risk assessment is a key step in creating appropriate land use policies. The forced migration of those displaced by recent events in Syria has highlighted the need for studies to guide humanitarian aid and resettlement policies. In 2011, armed conflict in the region precipitated the largest refugee crisis in a generation. Over 1.5 million displaced Syrians now reside in Lebanon, rapidly changing the population distribution in geomorphically-active areas of the country. We use a multi-step process to quantitatively assess the landslide risk profile of Lebanon throughout the ongoing Syrian conflict. First, mode-specific geotechnical models are utilized to assess the individual hazard contributions of a suite of triggering scenarios and types of landslides appropriate to the varied terrain of Lebanon. Second, vulnerability estimates and population data from the United Nations High Commissioner for Refugees (UNHCR) are combined to produce scenario-specific risk. Finally, risk data is aggregated to create a comprehensive landslide risk profile for Syrian refugees in Lebanon and compared to that of the pre-conflict Lebanese population.</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geo-Congress 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Eighth International Conference on Case Histories in Geotechnical Engineering","conferenceDate":"March 24–27, 2019","conferenceLocation":"Philadelphia, Pennsylvania","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/9780784482155.013","usgsCitation":"Pollock, W., Wartman, J., Abou-Jaoude, G., and Grant, A.R., 2019, Quantitative coseismic and precipitation-induced landslide risk mapping for the country of Lebanon, <i>in</i> Geo-Congress 2019, Philadelphia, Pennsylvania, March 24–27, 2019, https://doi.org/10.1061/9780784482155.013.","ipdsId":"IP-101086","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":380122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Lebanon","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[35.8211,33.27743],[35.5528,33.26427],[35.46071,33.08904],[35.12605,33.0909],[35.48221,33.90545],[35.97959,34.61006],[35.9984,34.64491],[36.44819,34.59394],[36.61175,34.20179],[36.06646,33.82491],[35.8211,33.27743]]]},\"properties\":{\"name\":\"Lebanon\"}}]}","noUsgsAuthors":false,"publicationDate":"2019-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollock, William","contributorId":244344,"corporation":false,"usgs":false,"family":"Pollock","given":"William","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":803816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wartman, Joseph 0000-0001-7659-7198","orcid":"https://orcid.org/0000-0001-7659-7198","contributorId":241918,"corporation":false,"usgs":false,"family":"Wartman","given":"Joseph","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":803817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abou-Jaoude, Grace 0000-0003-1992-1611","orcid":"https://orcid.org/0000-0003-1992-1611","contributorId":244345,"corporation":false,"usgs":false,"family":"Abou-Jaoude","given":"Grace","email":"","affiliations":[{"id":48898,"text":"Lebanese American University","active":true,"usgs":false}],"preferred":false,"id":803818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":803819,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70204353,"text":"70204353 - 2019 - Relatedness within and among Myotis septentrionalis colonies at a local scale","interactions":[],"lastModifiedDate":"2019-07-19T07:42:19","indexId":"70204353","displayToPublicDate":"2019-03-21T07:40:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Relatedness within and among Myotis septentrionalis colonies at a local scale","docAbstract":"Abstract:  We assessed parentage within and among maternity colonies of the northern long-eared bat (Myotis septentrionalis Troessart 1897) in north-central Kentucky from 2011–2013 to better understand colony social structure, formation, and membership dynamics. We intensively sampled colonies in close and remote (> 10 km) spatial proximity both before and after targeted day-roost removal. Colonies were not necessarily comprised of closely related individuals, but natal philopatry was common. Adjacent colonies often contained maternally related individuals, indicating that some pups did disperse, albeit not far from their natal home range. Lack of apparent overlap among maternity colonies, along with no observed individual movements between colonies, suggests that colonies may be relatively closed once established in the maternity season.  Whereas some young on site had been sired by males collected on site that by chance had dispersed to the same summering grounds, most had not, as would be expected since the species mates in the fall swarms near hibernacula. The number of parentages that we inferred among colonies, however, suggests that outside the maternity season, social groups may be relatively flexible and open, with individuals moving among groups close to their natal area. Analysis of microsatellite DNA data showed a low FST (= 0.011) and best fit to a model of one multilocus genotypic cluster across the study area.  We observed high turnover in colony membership between years in all colonies, regardless of roost removal treatment. Our results suggest that female northern long-eared bats exhibit fidelity to a general geographic area rather than individual colonies between years, and indicate presence of a complex and dynamic social-genetic structure. Greater understanding of colony dynamics, including formation, dissolution, and dispersal patterns, may contribute to conservation and management of this threatened species.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2018-0229","usgsCitation":"Ford, W., Olivera-Hyde, M., Alexander Silvis, Eric M. 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,{"id":70202711,"text":"70202711 - 2019 - Social–ecological mismatches create conservation challenges in introduced species management","interactions":[],"lastModifiedDate":"2019-03-20T16:24:23","indexId":"70202711","displayToPublicDate":"2019-03-20T16:24:21","publicationYear":"2019","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":"Social–ecological mismatches create conservation challenges in introduced species management","docAbstract":"<p><span>Introduced species can have important effects on the component species and processes of native ecosystems. However, effective introduced species management can be complicated by technical and social challenges. We identify “social–ecological mismatches” (that is, differences between the scales and functioning of interacting social and ecological systems) as one such challenge. We present three case studies in which mismatches between the organization and functioning of key social and ecological systems have contributed to controversies and debates surrounding introduced species management and policy. We identify three common issues: social systems and cultures may adapt to a new species’ arrival at a different rate than ecosystems; ecological impacts can arise at one spatial scale while social impacts occur at another; and the effects of introduced species can spread widely, whereas management actions are constrained by organizational and/or political boundaries. We propose strategies for collaborative knowledge building and adaptive management that may help address these challenges.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2000","usgsCitation":"Beever, E., Simberloff, D., Crowley, S.L., Al-Chokhachy, R., Jackson, H.A., and Petersen, S.L., 2019, Social–ecological mismatches create conservation challenges in introduced species management: Frontiers in Ecology and the Environment, v. 17, no. 2, p. 117-125, https://doi.org/10.1002/fee.2000.","productDescription":"9 p.","startPage":"117","endPage":"125","ipdsId":"IP-093248","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467795,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10871/40133","text":"External Repository"},{"id":362218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":759605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simberloff, Daniel","contributorId":147072,"corporation":false,"usgs":false,"family":"Simberloff","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":759609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crowley, Sarah L.","contributorId":214313,"corporation":false,"usgs":false,"family":"Crowley","given":"Sarah","email":"","middleInitial":"L.","affiliations":[{"id":39009,"text":"Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, TR10 9FE, UNITED KINGDOM","active":true,"usgs":false}],"preferred":false,"id":759607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":759608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Hazel A.","contributorId":214315,"corporation":false,"usgs":false,"family":"Jackson","given":"Hazel","email":"","middleInitial":"A.","affiliations":[{"id":39010,"text":"Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent","active":true,"usgs":false}],"preferred":false,"id":759610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petersen, Steven L.","contributorId":214312,"corporation":false,"usgs":false,"family":"Petersen","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":39008,"text":"Plant and Wildlife Sciences Dept., Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":759606,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202707,"text":"70202707 - 2019 - Downstream‐propagating channel responses to decadal‐scale climate variability in a glaciated river basin","interactions":[],"lastModifiedDate":"2019-06-18T11:02:06","indexId":"70202707","displayToPublicDate":"2019-03-20T14:49:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Downstream‐propagating channel responses to decadal‐scale climate variability in a glaciated river basin","docAbstract":"<p><span>Regional climate is an important control on the rate of coarse sediment mobilization and transport in alpine river systems. Changes in climate are then expected to cause a cascade of geomorphic responses, including adjustments in downstream channel morphology. However, the mechanics and sensitivity of channel response to short‐term climate variability remain poorly documented. In the Nooksack River, which drains a glaciated stratovolcano in Washington State, bed elevation changes were inferred from shifting stage–discharge relations at seven USGS stream gages. Decadal‐scale elevation trends at most sites can be explained as a downstream‐propagating channel response to regional climate variability, where periods of persistent warm, dry [cool, wet] conditions corresponded to periods of aggradation [incision]. The channel elevation response propagated downstream at a rate of one to four kilometers per year; propagation rate scaled closely with channel slope. Historical trends in glacier extent and flood intensity both show some potential to explain climate–sediment linkages, though assessing causation is complicated by the shared climate signal in both records. Results show the influence of the Pacific Decadal Oscillation, with relatively high coarse sediment yields prior to 1950 and since 1980, and notably lower sediment yields from 1950 to 1980. Measured sediment yields from nearby glaciated basins corroborate this history, suggesting a regional coherence to these climate–sediment linkages. These results document consistent relations between climate, sediment supply and downstream channel response at the basin‐scale, with channel responses propagating downstream over periods of decades with little apparent attenuation.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2018JF004734","usgsCitation":"Anderson, S.W., and Konrad, C.P., 2019, Downstream‐propagating channel responses to decadal‐scale climate variability in a glaciated river basin: Journal of Geophysical Research: Earth Surface, v. 124, no. 4, p. 902-919, https://doi.org/10.1029/2018JF004734.","productDescription":"18 p.","startPage":"902","endPage":"919","ipdsId":"IP-097291","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":362211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nooksack River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.64312744140624,\n              48.499317631540286\n            ],\n            [\n              -121.453857421875,\n              48.499317631540286\n            ],\n            [\n              -121.453857421875,\n              48.9991410647952\n            ],\n            [\n              -122.64312744140624,\n              48.9991410647952\n            ],\n            [\n              -122.64312744140624,\n              48.499317631540286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"124","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":196687,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759572,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202709,"text":"70202709 - 2019 - Defining the limits of spectrally based bathymetric mapping on a large river","interactions":[],"lastModifiedDate":"2019-03-20T14:45:46","indexId":"70202709","displayToPublicDate":"2019-03-20T14:45:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Defining the limits of spectrally based bathymetric mapping on a large river","docAbstract":"<p><span>Remote sensing has emerged as a powerful method of characterizing river systems but is subject to several important limitations. This study focused on defining the limits of spectrally based mapping in a large river. We used multibeam echosounder (MBES) surveys and hyperspectral images from a deep, clear-flowing channel to develop techniques for inferring the maximum detectable depth,&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></semantics></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"semantics\"><span id=\"MathJax-Span-4\" class=\"msub\"><span id=\"MathJax-Span-5\" class=\"mi\">d</span><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mi\">m</span><span id=\"MathJax-Span-8\" class=\"mi\">a</span><span id=\"MathJax-Span-9\" class=\"mi\">x</span></span></span></span></span></span></span></span><span>&nbsp;</span><span>, directly from an image and identifying optically deep areas that exceed&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></semantics></math>\"><span id=\"MathJax-Span-10\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"semantics\"><span id=\"MathJax-Span-13\" class=\"msub\"><span id=\"MathJax-Span-14\" class=\"mi\">d</span><span id=\"MathJax-Span-15\" class=\"mrow\"><span id=\"MathJax-Span-16\" class=\"mi\">m</span><span id=\"MathJax-Span-17\" class=\"mi\">a</span><span id=\"MathJax-Span-18\" class=\"mi\">x</span></span></span></span></span></span></span></span><span>&nbsp;</span><span>. Optimal Band Ratio Analysis (OBRA) of progressively truncated subsets of the calibration data provided an estimate of&nbsp;</span><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></semantics></math>\"><span id=\"MathJax-Span-19\" class=\"math\"><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"semantics\"><span id=\"MathJax-Span-22\" class=\"msub\"><span id=\"MathJax-Span-23\" class=\"mi\">d</span><span id=\"MathJax-Span-24\" class=\"mrow\"><span id=\"MathJax-Span-25\" class=\"mi\">m</span><span id=\"MathJax-Span-26\" class=\"mi\">a</span><span id=\"MathJax-Span-27\" class=\"mi\">x</span></span></span></span></span></span></span></span><span>&nbsp;</span><span>by indicating when depth retrieval performance began to deteriorate due to the presence of depths greater than the sensor could detect. We then partitioned the calibration data into shallow and optically deep (</span><span>&nbsp;</span><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><mi>d</mi><mo>&amp;gt;</mo><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></mrow></semantics></math>\"><span id=\"MathJax-Span-28\" class=\"math\"><span><span id=\"MathJax-Span-29\" class=\"mrow\"><span id=\"MathJax-Span-30\" class=\"semantics\"><span id=\"MathJax-Span-31\" class=\"mrow\"><span id=\"MathJax-Span-32\" class=\"mi\">d</span><span id=\"MathJax-Span-33\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-34\" class=\"msub\"><span id=\"MathJax-Span-35\" class=\"mi\">d</span><span id=\"MathJax-Span-36\" class=\"mrow\"><span id=\"MathJax-Span-37\" class=\"mi\">m</span><span id=\"MathJax-Span-38\" class=\"mi\">a</span><span id=\"MathJax-Span-39\" class=\"mi\">x</span></span></span></span></span></span></span></span></span><span>&nbsp;</span><span>) classes and fit a logistic regression model to estimate the probability of optically deep water,&nbsp;</span><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><mi>P</mi><mi>r</mi><mo>(</mo><mi>O</mi><mi>D</mi><mo>)</mo></mrow></semantics></math>\"><span id=\"MathJax-Span-40\" class=\"math\"><span><span id=\"MathJax-Span-41\" class=\"mrow\"><span id=\"MathJax-Span-42\" class=\"semantics\"><span id=\"MathJax-Span-43\" class=\"mrow\"><span id=\"MathJax-Span-44\" class=\"mi\">P</span><span id=\"MathJax-Span-45\" class=\"mi\">r</span><span id=\"MathJax-Span-46\" class=\"mo\">(</span><span id=\"MathJax-Span-47\" class=\"mi\">O</span><span id=\"MathJax-Span-48\" class=\"mi\">D</span><span id=\"MathJax-Span-49\" class=\"mo\">)</span></span></span></span></span></span></span><span>&nbsp;</span><span>. Applying a&nbsp;</span><span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><mi>P</mi><mi>r</mi><mo>(</mo><mi>O</mi><mi>D</mi><mo>)</mo></mrow></semantics></math>\"><span id=\"MathJax-Span-50\" class=\"math\"><span><span id=\"MathJax-Span-51\" class=\"mrow\"><span id=\"MathJax-Span-52\" class=\"semantics\"><span id=\"MathJax-Span-53\" class=\"mrow\"><span id=\"MathJax-Span-54\" class=\"mi\">P</span><span id=\"MathJax-Span-55\" class=\"mi\">r</span><span id=\"MathJax-Span-56\" class=\"mo\">(</span><span id=\"MathJax-Span-57\" class=\"mi\">O</span><span id=\"MathJax-Span-58\" class=\"mi\">D</span><span id=\"MathJax-Span-59\" class=\"mo\">)</span></span></span></span></span></span></span><span>&nbsp;</span><span>threshold value allowed us to delineate optically deep areas and thus only attempt depth retrieval in relatively shallow locations. For the Kootenai River,&nbsp;</span><span id=\"MathJax-Element-7-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></semantics></math>\"><span id=\"MathJax-Span-60\" class=\"math\"><span><span id=\"MathJax-Span-61\" class=\"mrow\"><span id=\"MathJax-Span-62\" class=\"semantics\"><span id=\"MathJax-Span-63\" class=\"msub\"><span id=\"MathJax-Span-64\" class=\"mi\">d</span><span id=\"MathJax-Span-65\" class=\"mrow\"><span id=\"MathJax-Span-66\" class=\"mi\">m</span><span id=\"MathJax-Span-67\" class=\"mi\">a</span><span id=\"MathJax-Span-68\" class=\"mi\">x</span></span></span></span></span></span></span></span><span>&nbsp;</span><span>reached as high as 9.5 m at one site, with accurate depth retrieval (</span><span>&nbsp;</span><span id=\"MathJax-Element-8-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><msup><mi>R</mi><mn>2</mn></msup><mo>=</mo><mn>0.94</mn></mrow></semantics></math>\"><span id=\"MathJax-Span-69\" class=\"math\"><span><span id=\"MathJax-Span-70\" class=\"mrow\"><span id=\"MathJax-Span-71\" class=\"semantics\"><span id=\"MathJax-Span-72\" class=\"mrow\"><span id=\"MathJax-Span-73\" class=\"msup\"><span id=\"MathJax-Span-74\" class=\"mi\">R</span><span id=\"MathJax-Span-75\" class=\"mn\">2</span></span><span id=\"MathJax-Span-76\" class=\"mo\">=</span><span id=\"MathJax-Span-77\" class=\"mn\">0.94</span></span></span></span></span></span></span><span>&nbsp;</span><span>) in areas with&nbsp;</span><span id=\"MathJax-Element-9-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><mrow><mi>d</mi><mo>&amp;lt;</mo><msub><mi>d</mi><mrow><mi>m</mi><mi>a</mi><mi>x</mi></mrow></msub></mrow></semantics></math>\"><span id=\"MathJax-Span-78\" class=\"math\"><span><span id=\"MathJax-Span-79\" class=\"mrow\"><span id=\"MathJax-Span-80\" class=\"semantics\"><span id=\"MathJax-Span-81\" class=\"mrow\"><span id=\"MathJax-Span-82\" class=\"mi\">d</span><span id=\"MathJax-Span-83\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-84\" class=\"msub\"><span id=\"MathJax-Span-85\" class=\"mi\">d</span><span id=\"MathJax-Span-86\" class=\"mrow\"><span id=\"MathJax-Span-87\" class=\"mi\">m</span><span id=\"MathJax-Span-88\" class=\"mi\">a</span><span id=\"MathJax-Span-89\" class=\"mi\">x</span></span></span></span></span></span></span></span></span><span>&nbsp;</span><span>. As a first step toward scaling up from short reaches to long river segments, we evaluated the portability of depth-reflectance relations calibrated at one site to other sites along the river. This analysis highlighted the importance of calibration data spanning a broad range of depths. Due to the inherent limitations of passive optical depth retrieval in large rivers, a hybrid field- and remote sensing-based approach would be required to obtain complete bathymetric coverage.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11060665","usgsCitation":"Legleiter, C.J., and Fosness, R.L., 2019, Defining the limits of spectrally based bathymetric mapping on a large river: Remote Sensing, v. 11, no. 6, p. 1-29, https://doi.org/10.3390/rs11060665.","productDescription":"Article 665; 29 p.","startPage":"1","endPage":"29","ipdsId":"IP-104066","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467796,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11060665","text":"Publisher Index Page"},{"id":437535,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K54WDL","text":"USGS data release","linkHelpText":"Hyperspectral image data and multibeam echosounder surveys used for bathymetric mapping of the Kootenai River in northern Idaho, September 26-27, 2017"},{"id":362210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","volume":"11","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":759601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":759602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}