{"pageNumber":"624","pageRowStart":"15575","pageSize":"25","recordCount":184717,"records":[{"id":70210688,"text":"70210688 - 2020 - Projected impacts of climate change on the range and phenology of three culturally-important shrub species","interactions":[],"lastModifiedDate":"2020-06-17T13:34:51.108521","indexId":"70210688","displayToPublicDate":"2020-05-08T08:26:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Projected impacts of climate change on the range and phenology of three culturally-important shrub species","docAbstract":"<p><span>Climate change is shifting both the habitat suitability and the timing of critical biological events, such as flowering and fruiting, for plant species across the globe. Here, we ask how both the distribution and phenology of three food-producing shrubs native to northwestern North America might shift as the climate changes. To address this question, we compared gridded climate data with species location data to identify climate variables that best predicted the current bioclimatic niches of beaked hazelnut (</span><i>Corylus cornuta)</i><span>, Oregon grape (</span><i>Mahonia aquifolium</i><span>), and salal (</span><i>Gaultheria shallon</i><span>). We also developed thermal-sum models for the timing of flowering and fruit ripening for these species. We then used multi-model ensemble future climate projections to estimate how species range and phenology may change under future conditions. Modelling efforts showed extreme minimum temperature, climate moisture deficit, and mean summer precipitation were predictive of climatic suitability across all three species. Future bioclimatic niche models project substantial reductions in habitat suitability across the lower elevation and southern portions of the species’ current ranges by the end of the 21</span><sup>st</sup><span>&nbsp;century. Thermal-sum phenology models for these species indicate that flowering and the ripening of fruits and nuts will advance an average of 25 days by the mid-21</span><sup>st</sup><span>&nbsp;century, and 36 days by the late-21</span><sup>st</sup><span>&nbsp;century under a high emissions scenario (RCP 8.5). Future changes in the climatic niche and phenology of these important food-producing species may alter trophic relationships, with cascading impacts on regional ecosystems.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0232537","usgsCitation":"Prevey, J.S., Parker, L.E., and Harrington, C., 2020, Projected impacts of climate change on the range and phenology of three culturally-important shrub species: PLoS ONE, v. 15, no. 5, e0232537, 19 p., https://doi.org/10.1371/journal.pone.0232537.","productDescription":"e0232537, 19 p.","ipdsId":"IP-114286","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456827,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0232537","text":"Publisher Index Page"},{"id":436996,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G0UTKF","text":"USGS data release","linkHelpText":"Location and phenology observations for beaked hazelnut (Corylus cornuta), Oregon grape (Mahonia aquifolium), and salal (Gaultheria shallon) in western North America"},{"id":375664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British, Columbia, California, Idaho, Montana, Nevada, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.4560546875,\n              47.57652571374621\n            ],\n            [\n              -117.333984375,\n              50.56928286558243\n            ],\n            [\n              -121.5087890625,\n              52.32191088594773\n            ],\n            [\n              -133.2421875,\n              54.34214886448341\n            ],\n            [\n              -132.7587890625,\n              52.9883372533954\n            ],\n            [\n              -126.60644531250001,\n              48.922499263758255\n            ],\n            [\n              -124.541015625,\n              46.07323062540835\n            ],\n            [\n              -125.0244140625,\n              42.22851735620852\n            ],\n            [\n              -125.068359375,\n              39.80853604144591\n            ],\n            [\n              -120.4541015625,\n              33.797408767572485\n            ],\n            [\n              -117.333984375,\n              35.92464453144099\n            ],\n            [\n              -120.32226562500001,\n              40.01078714046552\n            ],\n            [\n              -119.00390625,\n              40.91351257612758\n            ],\n            [\n              -112.32421875,\n              42.52069952914966\n            ],\n            [\n              -111.357421875,\n              45.61403741135093\n            ],\n            [\n              -111.8408203125,\n              47.100044694025215\n            ],\n            [\n              -112.4560546875,\n              47.57652571374621\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Prevey, Janet S. 0000-0003-2879-6453","orcid":"https://orcid.org/0000-0003-2879-6453","contributorId":222702,"corporation":false,"usgs":true,"family":"Prevey","given":"Janet","email":"","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":790978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Lauren E.","contributorId":225389,"corporation":false,"usgs":false,"family":"Parker","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":790979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrington, Constance A","contributorId":167297,"corporation":false,"usgs":false,"family":"Harrington","given":"Constance A","affiliations":[{"id":24677,"text":"USDA  Pacific Northwest Research Station, Olympia WA","active":true,"usgs":false}],"preferred":false,"id":790980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210177,"text":"70210177 - 2020 - Does habitat partitioning by sympatric plovers affect nest survival?","interactions":[],"lastModifiedDate":"2020-05-19T13:23:09.960563","indexId":"70210177","displayToPublicDate":"2020-05-08T08:17:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Does habitat partitioning by sympatric plovers affect nest survival?","docAbstract":"The vertical structure and composition of vegetation can influence the quantity and quality of potential nesting sites for birds. Interspecific competition for high-quality nesting habitat may force some individuals into suboptimal habitat and lead to reduced reproductive success, eventually leading to changes in distribution or abundance. Large climate-mediated shifts in vegetation, including the rapid expansion of shrubs onto tundra, are occurring in the Arctic across important breeding grounds of many shorebird species of conservation concern. We investigated effects of vegetation structure and composition on nest-site selection and nest success of sympatrically breeding American Golden-Plovers (Pluvialis dominica) and Pacific Golden-Plovers (P. fulva), which nest along an elevational gradient ranging from coastal tundra meadows to alpine tundra. Both species strongly selected nest sites with less cover of tall shrubs and other tall vegetation than available at random sites within their territories. American Golden-Plovers selected territories and nest sites that were higher in elevation and had more rocky substrates and less graminoid vegetation than those selected by Pacific Golden-Plovers. The daily nest survival rate was equivalent in the two species (0.966, 95% CI: 0.954, 0.974) and similar to that found in other Arctic-breeding shorebirds; however, contrary to predictions, nest survival was not associated with habitat features selected for nest sites for either species. Strong selection of open habitat for nest sites suggests that continued climate-related shrub expansion may reduce the amount of suitable breeding habitat for both species, but partitioning along the elevational gradient and differences in body size suggest that impacts may be more severe for Pacific Golden-Plovers. Additional research is needed to determine if differential selection of nesting habitat is related to survival of the adults or their young.","language":"English","publisher":"Oxford Academic","doi":"10.1093/auk/ukaa018","collaboration":"","usgsCitation":"Overduijn, K.S., Handel, C.M., and Powell, A., 2020, Does habitat partitioning by sympatric plovers affect nest survival?: The Auk, v. 137, ukaa018, 16 p., https://doi.org/10.1093/auk/ukaa018.","productDescription":"ukaa018, 16 p.","ipdsId":"IP-112622","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":456829,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/ukaa018","text":"Publisher Index Page"},{"id":436997,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93EGFPO","text":"USGS data release","linkHelpText":"Nesting Habitat and Nest Survival Data for American (Pluvialis dominica) and Pacific (P. fulva) Golden-Plovers on the Seward Peninsula, Alaska, 2012-2013"},{"id":374916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","noUsgsAuthors":false,"publicationDate":"2020-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Overduijn, Kelly S","contributorId":224774,"corporation":false,"usgs":false,"family":"Overduijn","given":"Kelly","email":"","middleInitial":"S","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":789433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":789435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70215238,"text":"70215238 - 2020 - GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning","interactions":[],"lastModifiedDate":"2020-10-14T12:34:15.624122","indexId":"70215238","displayToPublicDate":"2020-05-08T07:33:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3618,"text":"Transactions in GIS","active":true,"publicationSubtype":{"id":10}},"title":"GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Machine learning allows “the machine” to deduce the complex and sometimes unrecognized rules governing spatial systems, particularly topographic mapping, by exposing it to the end product. Often, the obstacle to this approach is the acquisition of many good and labeled training examples of the desired result. Such is the case with most types of natural features. To address such limitations, this research introduces GeoNat v1.0, a natural feature dataset, used to support artificial intelligence‐based mapping and automated detection of natural features under a supervised learning paradigm. The dataset was created by randomly selecting points from the U.S. Geological Survey’s Geographic Names Information System and includes approximately 200 examples each of 10 classes of natural features. Resulting data were tested in an object‐detection problem using a region‐based convolutional neural network. The object‐detection tests resulted in a 62% mean average precision as baseline results. Major challenges in developing training data in the geospatial domain, such as scale and geographical representativeness, are addressed in this article. We hope that the resulting dataset will be useful for a variety of applications and shed light on training data collection and labeling in the geospatial artificial intelligence domain.</p></div></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/tgis.12633","usgsCitation":"Arundel, S., Li, W., and Wang, S., 2020, GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning: Transactions in GIS, v. 24, no. 3, p. 556-572, https://doi.org/10.1111/tgis.12633.","productDescription":"17 p.","startPage":"556","endPage":"572","ipdsId":"IP-115822","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":436998,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X5BN1L","text":"USGS data release","linkHelpText":"GeoNatShapes: a natural feature reference dataset for mapping and AI training"},{"id":379346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":801249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":801250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Sizhe","contributorId":242975,"corporation":false,"usgs":false,"family":"Wang","given":"Sizhe","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":801251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210040,"text":"70210040 - 2020 - Harnessing multiple models for outbreak management","interactions":[],"lastModifiedDate":"2020-05-12T12:22:55.482558","indexId":"70210040","displayToPublicDate":"2020-05-08T07:18:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Harnessing multiple models for outbreak management","docAbstract":"The coronavirus disease 2019 (COVID-19) pandemic has triggered efforts by multiple modeling groups to forecast disease trajectory, assess interventions, and improve understanding of the pathogen. Such models can often differ substantially in their projections and recommendations, reflecting different policy assumptions and objectives, as well as scientific, logistical, and other uncertainty about biological and management processes (1). Disparate predictions during any outbreak can hinder intervention planning and response by policy-makers (2, 3), who may instead choose to rely on single trusted sources of advice, or on consensus where it appears. Thus, valuable insights and information from other models may be overlooked, limiting the opportunity for decision-makers to account for risk and uncertainty and resulting in more lives lost or resources used than necessary. We advocate a more systematic approach, by merging two well-established research fields. The first element involves formal expert elicitation methods applied to multiple models to deliberately generate, retain, and synthesize valuable individual model ideas and share important insights during group discussions, while minimizing various cognitive biases. The second element uses a decision-theoretic framework to capture and account for within- and between-model uncertainty as we evaluate actions in a timely manner to achieve management objectives.","language":"English","publisher":"AAAS","doi":"10.1126/science.abb9934","collaboration":"","usgsCitation":"Shea, K., Runge, M.C., Pannell, D., Probert, W.J., Li, S., Tildesley, M.J., and Ferrari, M.J., 2020, Harnessing multiple models for outbreak management: Science, v. 368, no. 6491, p. 577-579, https://doi.org/10.1126/science.abb9934.","productDescription":"3 p.","startPage":"577","endPage":"579","ipdsId":"IP-118099","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://admin.research-repository.uwa.edu.au/en/publications/12b8d798-e5d2-4d7d-ac12-1493a2ed76d8","text":"Publisher Index Page"},{"id":374646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","issue":"6491","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":788901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":788902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pannell, David","contributorId":217709,"corporation":false,"usgs":false,"family":"Pannell","given":"David","email":"","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":788903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Probert, William J. M. 0000-0002-3437-759X","orcid":"https://orcid.org/0000-0002-3437-759X","contributorId":216183,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J. M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":788904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":788905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":788906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":788907,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70216928,"text":"70216928 - 2020 - Successful restoration of Metrosideros polymorpha (ʻōhiʻa) is possible in forest sites with active Rapid ‘Ōhiʻa Death infections","interactions":[],"lastModifiedDate":"2020-12-17T13:01:02.211174","indexId":"70216928","displayToPublicDate":"2020-05-08T07:01:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Successful restoration of <i>Metrosideros polymorpha</i> (ʻōhiʻa) is possible in forest sites with active Rapid ‘Ōhiʻa Death infections","title":"Successful restoration of Metrosideros polymorpha (ʻōhiʻa) is possible in forest sites with active Rapid ‘Ōhiʻa Death infections","docAbstract":"<p><span>Rapid ʻŌhiʻa Death (ROD), caused by the fungal pathogen&nbsp;</span><i>Ceratocystis</i><span>, is killing large numbers of ʻōhiʻa trees (</span><i>Metrosideros polymorpha</i><span>) in Hawaiʻi. ʻŌhiʻa are a dominant tree in Hawaiian forests, have a range that goes from arid to wet forest climates, and are important for endangered species habitat and ecosystem function. To test whether actively planting ʻōhiʻa seedlings is a viable restoration strategy in areas with high ROD mortality, we planted ʻōhiʻa in a ROD‐affected forest and crossed this with weeding and fencing treatments to compare ROD mortality to other stressors. We also tested for viable&nbsp;</span><i>Ceratocystis</i><span>&nbsp;spores in soils around planting areas. We found that seedlings were more likely to die in unweeded and unfenced treatments than controls. Although viable&nbsp;</span><i>Ceratocystis</i><span>&nbsp;spores were found in soil, none of the 41 dead seedlings tested positive for&nbsp;</span><i>Ceratocystis</i><span>. This indicates that competition from exotic plants and exotic feral ungulate damage are more likely to kill seedlings than ROD within the first year after planting.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13197","usgsCitation":"Yelenik, S.G., Roy, K., and Stallman, J., 2020, Successful restoration of Metrosideros polymorpha (ʻōhiʻa) is possible in forest sites with active Rapid ‘Ōhiʻa Death infections: Restoration Ecology, v. 28, no. 5, p. 1257-1261, https://doi.org/10.1111/rec.13197.","productDescription":"5 p.","startPage":"1257","endPage":"1261","ipdsId":"IP-118403","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":436999,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q65YGR","text":"USGS data release","linkHelpText":"Keaukaha Military Reservation Ohia Restoration under ROD-infected Trees 2019-2020"},{"id":381411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769 syelenik@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":5251,"corporation":false,"usgs":true,"family":"Yelenik","given":"Stephanie","email":"syelenik@usgs.gov","middleInitial":"G.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":806973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Kylle 0000-0002-7993-9031","orcid":"https://orcid.org/0000-0002-7993-9031","contributorId":213271,"corporation":false,"usgs":true,"family":"Roy","given":"Kylle","email":"","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":806974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stallman, Jeff 0000-0003-4713-2193","orcid":"https://orcid.org/0000-0003-4713-2193","contributorId":245750,"corporation":false,"usgs":false,"family":"Stallman","given":"Jeff","email":"","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":806975,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70208798,"text":"sir20205015 - 2020 - Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17","interactions":[],"lastModifiedDate":"2020-05-08T11:50:49.347355","indexId":"sir20205015","displayToPublicDate":"2020-05-07T15:47:32","publicationYear":"2020","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":"2020-5015","displayTitle":"Pilot-Scale Testing of Dairy Manure Treatments to Reduce Nutrient Transport from Land Application, Northwest Ohio, 2015–17","title":"Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17","docAbstract":"<p>Manure and wastewater from large livestock operations have the potential to negatively affect surface water and groundwater, including the eutrophication of surface waters and harmful algal blooms. In the Western Lake Erie Basin, where there is a high density of animal agriculture, harmful algal blooms have been attributed, in part, to phosphorus loading from dairy manure and fertilizer applications. Liquid lagoon manure produced by dairy operations typically has low nutrient concentrations and high-water content, so transportation costs are high relative to the value of the nutrients when applied to fields. Treatment systems are needed to transform manure into a dewatered product that is more economical to transport greater distances and that slows and (or) reduces the release of nutrients in soil, allowing nutrients to remain available for crop growth.</p><p>This study was designed to pilot test a treatment solution in the Western Lake Erie Basin. The U.S. Geological Survey and Bowling Green State University field tested a dewatering treatment process (coagulant/polymer mixture) for dairy manure at pilot-scale test plots at The Ohio State University Agricultural Research and Development Center Northwest Agricultural Research Station. Automatic samplers were used to collect samples during 13 baseline and 9 post-manure application rainfall events that resulted in substantial surface runoff and (or) tile flow from October 2015 through early November 2017. Results are reported for three test plots that received liquid lagoon manure (raw manure) and three test plots that received polymer-treated manure (treated manure).</p><p>Nutrient concentrations and flow volumes in surface runoff and tile flow were determined in baseline and post-manure application rainfall events. Nutrient concentration ranges are reported for 9 baseline and 9 post-manure application events as follows: dissolved reactive phosphorus, less than (&lt;) 0.013−2.16 milligrams per liter (mg/L); nitrate plus nitrite, filtered, 0.32−77 mg/L; ammonia, filtered, &lt;0.05−2.6 mg/L; total phosphorus, &lt;0.01−12.8 mg/L; and total nitrogen, 1.49−77.2 mg/L. Volumes are reported for 6 baseline and 9 post-manure application rainfall events. None of the post-manure application runoff volumes were significantly different by plot or by treatment type (raw manure versus treated manure).</p><p>Because concentrations alone do not reflect the true effects of different manure treatments, loads and flow-weighted mean concentrations of nutrients during post-manure application rainfall events were compared between plots with treated manure and those with raw manure. Loads of dissolved reactive phosphorus, total phosphorus, nitrate plus nitrite, and total nitrogen were calculated using the U.S. Geological Survey Graphical Constituent Loading and Analysis System. Loads of ammonia were not calculated because many of the ammonia concentrations were below the reporting limit.</p><p>During the post-manure application period, higher nitrogen loads resulted from tile flow than surface runoff. For phosphorus, the opposite was true in that higher loads resulted from surface runoff than tile flow. Combined loads (surface runoff and tile flow) of dissolved reactive phosphorus were significantly different between raw manure and treated manure plots, but there was no significant difference in combined loads of total phosphorus, nitrate plus nitrite, or total nitrogen between raw manure and treated manure plots. Flow-weighted mean concentrations were calculated for the combined loads for the post-manure application rainfall events. Flow-weighted mean concentrations of dissolved reactive phosphorus and, to a lesser extent, total phosphorus were significantly different between raw manure and treated manure plots. Flow-weighted mean concentrations of nitrate plus nitrite and total nitrogen were not significantly different between raw manure and treated manure plots. The differences in loads and flow-weighted mean concentrations between raw manure and treated manure plots indicate that dissolved reactive phosphorus was likely retained in the soil and hydrological transport was reduced for the plots amended with the treated manure as compared to raw manure. Although confirmation field testing needs to be done, these results indicate that the use of this coagulant/polymer mixture shows potential in helping to reduce flow of dissolved phosphorus from agricultural fields with applied manure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205015","collaboration":"Prepared in cooperation with the Ohio Water Development Authority","usgsCitation":"Francy, D.S., Brady, A.M.G., Ash, B.L., and Midden, W.R., 2020, Pilot-scale testing of dairy manure treatments to reduce nutrient transport from land application, northwest Ohio, 2015–17: U.S. Geological Survey Scientific Investigations Report 2020–5015, 31 p., https://doi.org/10.3133/sir20205015.","productDescription":"Report: viii, 31 p.; Appendix Tables","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-095889","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":374487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5015/sir20205015.pdf","text":"Report","size":"1.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5015"},{"id":374488,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5015/sir20205015_appendix2.xlsx","text":"Appendix 2 Tables 2.1–2.4","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5015 Appendix 2 Tables"},{"id":374486,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5015/coverthb.jpg"}],"country":"United States","state":"Ohio","county":"Ottawa County, Wood County, Putnam County, Allen County, Hardin County, Hancock County, Wyandot County, Seneca County, Sandusky 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<a data-mce-href=\"https://www.usgs.gov/centers/oki-water\" href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a> <br>U.S. Geological Survey <br>6460 Busch Boulevard Suite 100 <br>Columbus, OH 43229–1737 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods of Study</li><li>Quality-Control Measures of Bias and Variability</li><li>Sampling Events and Concentrations of Nutrients in Surface Runoff and Tile Flow Samples</li><li>Water Volumes</li><li>Comparisons of Nutrient Loads and Flow-Weighted Mean Concentrations from Raw Manure and Treated Manure Plots</li><li>Corn Yields</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Sample Processing Cheat Sheet</li><li>Appendix 2. Data Tables</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-05-07","noUsgsAuthors":false,"publicationDate":"2020-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Francy, Donna S. 0000-0001-9229-3557 dsfrancy@usgs.gov","orcid":"https://orcid.org/0000-0001-9229-3557","contributorId":1853,"corporation":false,"usgs":true,"family":"Francy","given":"Donna","email":"dsfrancy@usgs.gov","middleInitial":"S.","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brady, Amie M.G. 0000-0002-7414-0992 amgbrady@usgs.gov","orcid":"https://orcid.org/0000-0002-7414-0992","contributorId":2544,"corporation":false,"usgs":true,"family":"Brady","given":"Amie","email":"amgbrady@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ash, Bethany L. 0000-0003-0590-882X","orcid":"https://orcid.org/0000-0003-0590-882X","contributorId":222890,"corporation":false,"usgs":false,"family":"Ash","given":"Bethany","email":"","middleInitial":"L.","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":783433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Midden, W. Robert 0000-0002-1838-1046","orcid":"https://orcid.org/0000-0002-1838-1046","contributorId":222889,"corporation":false,"usgs":false,"family":"Midden","given":"W.","email":"","middleInitial":"Robert","affiliations":[{"id":13587,"text":"Bowling Green State University","active":true,"usgs":false}],"preferred":false,"id":783432,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209328,"text":"ofr20201032 - 2020 - Simulation of the probabilistic plume extent for a potential replacement wastewater-infiltration lagoon, and probabilistic contributing areas for supply wells for the Town of Lac du Flambeau, Vilas County, Wisconsin","interactions":[],"lastModifiedDate":"2020-05-08T11:44:10.706967","indexId":"ofr20201032","displayToPublicDate":"2020-05-07T14:53:18","publicationYear":"2020","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":"2020-1032","displayTitle":"Simulation of the Probabilistic Plume Extent for a Potential Replacement Wastewater-Infiltration Lagoon, and Probabilistic Contributing Areas for Supply Wells for the Town of Lac du Flambeau, Vilas County, Wisconsin","title":"Simulation of the probabilistic plume extent for a potential replacement wastewater-infiltration lagoon, and probabilistic contributing areas for supply wells for the Town of Lac du Flambeau, Vilas County, Wisconsin","docAbstract":"<p>An existing two-dimensional, steady-state groundwater-flow model of the shallow groundwater-flow system of the Lac du Flambeau Reservation in Vilas County, Wisconsin, originally developed by the U.S. Geological Survey, was used to simulate the potential for wastewater from a proposed relocation of a wastewater lagoon to contaminate the Lac du Flambeau Band of Lake Superior Chippewa’s drinking-water-supply wells. This simulation was completed by the U.S. Geological Survey in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service. The simulated scenarios consisted of removing wastewater infiltration from existing lagoons and re-applying that infiltration at the proposed location. Two analyses were performed for the scenarios. First, the probable extent of the plume discharging from the proposed infiltration lagoons was mapped with a Monte Carlo algorithm that used uncertainty identified during the calibration process to simulate thousands of possible outcomes. Second, the Monte Carlo method was again used to simulate a probabilistic contributing area for the Tribe’s nearby “Main Pumphouse” supply wells. The purpose of the simulations was to evaluate the potential for infiltrated wastewater to be captured by the public-supply wells.</p><p>Most features of the previously developed model remained unchanged, including calibrated parameters such as hydraulic conductivity and recharge. Thus, the same covariance distributions that were generated during calibration of the regional model (Juckem and others, 2014) remained unchanged and were used to inform the Monte Carlo simulations for the scenario simulations described in this report. The reader is encouraged to read the full report by Juckem and others (available at <a data-mce-href=\"https://doi.org/10.3133/sir20145020\" href=\"https://doi.org/10.3133/sir20145020\">https://doi.org/10.3133/sir20145020</a>) for a detailed description of the model design and calibration, as well as a description of the Monte Carlo method, its limitations, and the original results.</p><p>Results for these new scenarios indicate that the probabilistic plume extent for the proposed infiltration lagoons does not reach the Main Pumphouse wells using pumping rates and wastewater volumes estimated for 2010. Similarly, the contributing area for the Main Pumphouse wells does not capture water from within the proposed infiltration lagoon footprint. However, at higher pumping rates and wastewater volumes, as projected by the Tribe for about 2035, the contributing area for the Main Pumphouse wells do include particles that originated within the proposed lagoon footprint, albeit at low probabilities. That is, for a few of the thousands of simulations that represented a range of calibration-informed parameter covariances, some amount of infiltrated wastewater was captured by the Main Pumphouse wells under projected 2035 conditions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201032","collaboration":"Prepared in cooperation with the Lac du Flambeau Band of Lake Superior Chippewa and Indian Health Service","usgsCitation":"Juckem, P.F., and Fienen, M.N., 2020, Simulation of the probabilistic plume extent for a potential replacement wastewater-infiltration lagoon, and probabilistic contributing areas for supply wells for the Town of Lac du Flambeau, Vilas County, Wisconsin: U.S. Geological Survey Open-File Report 2020–1032, 10 p., https://doi.org/10.3133/ofr20201032.","productDescription":"Report: vi, 10 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-109305","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":374398,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1032/coverthb.jpg"},{"id":374399,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1032/ofr20201032.pdf","text":"Report","size":"5.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1032"},{"id":374400,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Z2YUW5","text":"USGS data release","description":"USGS Data Release","linkHelpText":"GFLOW model files used to generate probabilistic waste-water plume extents and contributing areas to supply wells for a proposed waste-water infil-tration lagoon scenario, Lac du Flambeau, Wisconsin"}],"country":"United States","state":"Wisconsin ","county":"Vilas County","city":"Lac du Flambeau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.92378234863281,\n              45.94386878224691\n            ],\n            [\n              -89.85013961791992,\n              45.94386878224691\n            ],\n            [\n              -89.85013961791992,\n              45.98408084285212\n            ],\n            [\n              -89.92378234863281,\n              45.98408084285212\n            ],\n            [\n              -89.92378234863281,\n              45.94386878224691\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way <br>Middleton, WI 55562<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Simulation of the Wastewater Plume Extent from Proposed Infiltration Lagoons</li><li>Simulation of Areas Contributing Recharge to the Main Pumphouse Wells</li><li>Assumptions and Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-05-07","noUsgsAuthors":false,"publicationDate":"2020-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Juckem, Paul F. 0000-0002-3613-1761 pfjuckem@usgs.gov","orcid":"https://orcid.org/0000-0002-3613-1761","contributorId":1905,"corporation":false,"usgs":true,"family":"Juckem","given":"Paul","email":"pfjuckem@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":786107,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208323,"text":"sir20205009 - 2020 - Biological and habitat assessment of the Lower Rouge River, Michigan 2018","interactions":[],"lastModifiedDate":"2020-05-19T11:34:31.742175","indexId":"sir20205009","displayToPublicDate":"2020-05-07T14:26:45","publicationYear":"2020","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":"2020-5009","displayTitle":"Biological and Habitat Assessment of the Lower Rouge River, Michigan, 2018","title":"Biological and habitat assessment of the Lower Rouge River, Michigan 2018","docAbstract":"<p>A key component of evaluating the success of habitat remediation projects is determining preremediation conditions, biotic and abiotic, to establish a baseline and compare with postproject conditions. The Rouge River, Michigan, is a Great Lakes Area of Concern with a listed Beneficial Use Impairment related to loss of fish and wildlife habitat. A biological and habitat assessment was completed in the lower Rouge River, focused along a nearly 7-kilometer stretch of river that includes a concrete channel anticipated to be removed by 2022, to determine prerestoration conditions. Surveys documented the presence and quality of physical habitat, presence of herpetofauna, and quantified macroinvertebrate and fish assemblages at 12 sites (3 upstream from the concrete channel, 6 within the concrete channel, and 3 downstream from the concrete channel). Macroinvertebrate assemblages were dominated by Chironomidae and Oligochaeta for June and September. The electrofishing catch per unit effort was driven by <i>Notropis atherinoides</i> (emerald shiner) catches in June and emerald shiner and <i>Dorosoma cepedianum</i> (gizzard shad) catches in September. <i>Graptemys geographica</i> (northern map turtle) was the most common reptile observed throughout the lower Rouge River. No submergent macrophytes were discovered, and riparian vegetation was sparse in the concrete channel section. No sites scored “excellent” (total score greater than 154), upstream control sites scored “good” for overall qualitative habitat assessments (total score 105–154), and all concrete channel and downstream control sites were ranked as “marginal” (total score 56–104) or “poor” habitat (total score 0–55). Results from this assessment can be used to compare with postremediation projects in the lower Rouge River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205009","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Roseman E.F., Fischer J., DeBruyne R.L., and Jackson, S.A., 2020, Biological and habitat assessment of the lower Rouge River, Michigan, 2018: U.S. Geological Survey Scientific Investigations Report 2020–5009, 54 p., https://doi.org/10.3133/sir20205009.","productDescription":"Report: viii, 54 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-105540","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":374499,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GUZ668","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Pre-restoration biological and physical assessment of the lower Rouge River, MI, 2018"},{"id":374498,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5009/sir20205009.pdf","text":"Report","size":"5.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5009"},{"id":374497,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5009/coverthb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lower Rouge River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.49472045898436,\n              42.189355296506314\n            ],\n            [\n              -83.09097290039062,\n              42.189355296506314\n            ],\n            [\n              -83.09097290039062,\n              42.4417010906216\n            ],\n            [\n              -83.49472045898436,\n              42.4417010906216\n            ],\n            [\n              -83.49472045898436,\n              42.189355296506314\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/glsc\" href=\"https://www.usgs.gov/centers/glsc\">Great Lakes Science Center </a><br>U.S. Geological Survey<br>1451 Green Road <br>Ann Arbor, MI 48105</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Photographic Monitoring of Streambanks</li><li>Qualitative Habitat Assessment</li><li>Quantitative Vegetation Habitat Assessment</li><li>Site-specific Depth and Velocity Characteristics</li><li>Site-specific Water Quality Characteristics</li><li>Herpetofauna Assessment</li><li>Qualitative Macroinvertebrate Assessment</li><li>Fisheries Electrofishing Assessment</li><li>Fisheries Minnow Trap Assessment</li><li>Discussion</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-05-07","noUsgsAuthors":false,"publicationDate":"2020-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Jason 0000-0001-7226-6500","orcid":"https://orcid.org/0000-0001-7226-6500","contributorId":222153,"corporation":false,"usgs":true,"family":"Fischer","given":"Jason","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Scott A. 0000-0003-1272-9918","orcid":"https://orcid.org/0000-0003-1272-9918","contributorId":222154,"corporation":false,"usgs":true,"family":"Jackson","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781414,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227941,"text":"70227941 - 2020 - “Good” and “bad”: Human perceptions of and interactions with urban wildlife","interactions":[],"lastModifiedDate":"2022-02-04T17:34:43.634365","indexId":"70227941","displayToPublicDate":"2020-05-07T11:29:20","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"“Good” and “bad”: Human perceptions of and interactions with urban wildlife","docAbstract":"<p><span>Urban environments offer habitat for many species of animals. Although some of those are ubiquitous and/or undesirable, others are native and in some cases, of conservation value. In many cases, urban wildlife populations are a source of enjoyment for human residents, who sometimes invest considerable amounts in attracting them to yards and public spaces. Their presence there can serve an important educational role that helps protect non-urban habitats and species. Nonetheless, urban wildlife must survive what has been termed a “landscape of fear.” Although some of the urban wildlife that do well in this environment are benign, other populations&nbsp;– sometimes of a species that, in other locations, is iconic and desirable&nbsp;– can become problematic. Some species can serve as vectors that carry important zoonosis, such as the plague or diseases that affect other wildlife. Others can create noise or olfactory nuisances and degrade structures or usability of public spaces. Some pose hazards at busy airports, whereas still others may present an envenomation or predation risk on unwary humans. Here, we review the role that reptiles, birds, and mammals play in urban environments and discuss how urban wildlife rehabilitation centers help address some related issues. We close by looking ahead and trying to predict how global patterns such as increased urbanization and population growth may affect urban wildlife and its value for conservation.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Problematic wildlife II: New conservation and management challenges in the human-wildlife interactions","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1007/978-3-030-42335-3_5","usgsCitation":"Perry, G., Boal, C.W., Verble, R., and Wallace, M., 2020, “Good” and “bad”: Human perceptions of and interactions with urban wildlife, chap. 5 <i>of</i> Problematic wildlife II: New conservation and management challenges in the human-wildlife interactions, p. 141-170, https://doi.org/10.1007/978-3-030-42335-3_5.","productDescription":"30 p.","startPage":"141","endPage":"170","ipdsId":"IP-094183","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, G.","contributorId":273160,"corporation":false,"usgs":false,"family":"Perry","given":"G.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832639,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verble, R.","contributorId":273161,"corporation":false,"usgs":false,"family":"Verble","given":"R.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, M.","contributorId":273162,"corporation":false,"usgs":false,"family":"Wallace","given":"M.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":832641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209795,"text":"sir20205043 - 2020 - Chemical evaluation of water and gases collected from hydrothermal systems located in the central Aleutian arc, August 2015","interactions":[],"lastModifiedDate":"2020-05-07T19:58:50.668535","indexId":"sir20205043","displayToPublicDate":"2020-05-07T10:17:43","publicationYear":"2020","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":"2020-5043","displayTitle":"Chemical Evaluation of Water and Gases Collected from Hydrothermal Systems Located in the Central Aleutian Arc, August 2015","title":"Chemical evaluation of water and gases collected from hydrothermal systems located in the central Aleutian arc, August 2015","docAbstract":"<p>Five volcanic-hydrothermal systems in the central Aleutians Islands were sampled for water and gas geochemistry in 2015 to provide baseline data to help predict future volcanic unrest. Some areas had not been sampled in 20–30 years (Makushin volcano, Geyser Bight), and other areas had minimal to no prior sampling (Tana volcano and Fisher Caldera). The chemical and isotopic data of the waters show a wide variety of characteristics typical of hydrothermal settings. Stable isotopic analyses of the waters show no evidence for primary magmatic water, rather that waters have a meteoric origin that is variably influenced by boiling and evaporation processes. The carbon and helium isotopic analyses of gases suggest they contain a primary magmatic component typical of the upper mantle at most locations, and the CO<sub>2</sub>/S ratios show that these gases have been modified by interactions with groundwater along the flow paths. Some areas demonstrate stable compositions since the last sampling (for example, Akutan hydrothermal areas), with some being remarkably steady over very long periods (for example, Geyser Bight). Other areas show modifications because of either lower amounts of upwelling from hydrothermal sources or lower amounts of magmatic influence on the surface chemistry (for example, Upper Glacial valley of Makushin, an informally named valley leading south of the volcano toward Makushin Bay to the south). Finally, this report highlights that previously unsampled regions in the Aleutian Islands, such as Tana volcano and Fisher Caldera (the latter found to have one of the highest helium isotopic signatures ever measured in the Aleutian Islands), show evidence of ongoing subsurface magmatism that warrants continued investigation in terms of volcanic hazard.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205043","collaboration":"","usgsCitation":"Werner, C., Kern, C., and Kelly, P. K., 2020, Chemical evaluation of water and gases collected from hydrothermal systems located in the central Aleutian arc, August 2015: U.S. Geological Survey Scientific Investigations Report 2020–5043, 35 p., https://doi.org/10.3133/sir20205043.","productDescription":"Report: viii, 35 p.; 2 Tables","numberOfPages":"35","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-118716","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":374537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5043/coverthb.jpg"},{"id":374538,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5043/sir20205043.pdf","text":"Report","size":"21 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":374539,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5043/sir20205043_table1.pdf","text":"Table 1","size":"200 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":374540,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5043/sir20205043_table2.pdf","text":"Table 2","size":"130 KB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","county":"","city":"","otherGeospatial":"Aleutian Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -169.2333984375,\n              52.81604319154934\n            ],\n            [\n              -168.96972656249997,\n              52.669720383688166\n            ],\n            [\n              -168.4423828125,\n              52.8691297276852\n            ],\n            [\n              -168.28857421875,\n              53.08082737207479\n            ],\n            [\n              -167.62939453124997,\n              53.1335898292448\n            ],\n            [\n              -166.75048828125,\n              53.30462107510271\n            ],\n            [\n              -166.13525390625,\n              53.657661020298\n            ],\n            [\n              -164.99267578125,\n              54.00776876193478\n            ],\n            [\n              -164.11376953125,\n              54.23955053156177\n            ],\n            [\n              -164.33349609375,\n              54.67383096593114\n            ],\n            [\n              -164.68505859375,\n              54.88924640307589\n            ],\n            [\n              -165.41015625,\n              54.648412502316695\n            ],\n            [\n              -166.57470703125,\n              54.316523240258256\n            ],\n            [\n              -168.77197265625,\n              53.605544099238\n            ],\n            [\n              -169.2333984375,\n              52.81604319154934\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:tlmurray@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:tlmurray@usgs.gov\">Director</a>,<br><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Makushin Volcano</li><li>Akutan Volcano</li><li>Tana Volcano</li><li>Fisher Caldera</li><li>Geyser Bight Hydrothermal Area</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-04-24","noUsgsAuthors":false,"publicationDate":"2020-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Werner, Cynthia A. cwerner@usgs.gov","contributorId":2540,"corporation":false,"usgs":true,"family":"Werner","given":"Cynthia","email":"cwerner@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":788058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":788059,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":788060,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216825,"text":"70216825 - 2020 - A social-ecological odyssey in fisheries and wildlife management","interactions":[],"lastModifiedDate":"2020-12-09T14:05:14.879209","indexId":"70216825","displayToPublicDate":"2020-05-07T08:02:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"A social-ecological odyssey in fisheries and wildlife management","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10439","usgsCitation":"Carlson, A.K., Taylor, W., Cronin, M., Eaton, M.J., Eckert, L.E., Kaemingk, M.A., Reid, A.J., and Trudeau, A., 2020, A social-ecological odyssey in fisheries and wildlife management: Fisheries, v. 45, no. 5, p. 238-243, https://doi.org/10.1002/fsh.10439.","productDescription":"6 p.","startPage":"238","endPage":"243","ipdsId":"IP-115249","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew K.","contributorId":172103,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":806437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":806438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Melissa R","contributorId":245552,"corporation":false,"usgs":false,"family":"Cronin","given":"Melissa R","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":806439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":806440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eckert, Lauren E.","contributorId":245553,"corporation":false,"usgs":false,"family":"Eckert","given":"Lauren","email":"","middleInitial":"E.","affiliations":[{"id":25427,"text":"Univ. of Victoria","active":true,"usgs":false}],"preferred":false,"id":806441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaemingk, Mark A","contributorId":245554,"corporation":false,"usgs":false,"family":"Kaemingk","given":"Mark","email":"","middleInitial":"A","affiliations":[{"id":49225,"text":"U. of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":806442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reid, Andrea J.","contributorId":221029,"corporation":false,"usgs":false,"family":"Reid","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":806443,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trudeau, Ashley","contributorId":245555,"corporation":false,"usgs":false,"family":"Trudeau","given":"Ashley","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":806444,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70224246,"text":"70224246 - 2020 - Ineffectiveness of light emitting diodes as underwater deterrents for Long-tailed Ducks Clangula hyemalis","interactions":[],"lastModifiedDate":"2021-09-15T12:32:46.153131","indexId":"70224246","displayToPublicDate":"2020-05-07T07:29:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Ineffectiveness of light emitting diodes as underwater deterrents for Long-tailed Ducks Clangula hyemalis","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Gillnet bycatch accounts for over 400,000 bird mortalities worldwide every year, affecting a wide variety of species, especially those birds that dive when foraging. Technological solutions to improve gillnet visibility or deter birds from approaching nets, such as LED lights, are essential for aiding diving birds to perceive nets as a hazard. Designing such solutions requires obtaining visual and behavioural ecology information from species to assess their ability to see the warning devices, and to examine their behavioural responses to them. Seaducks, particularly Long-tailed Ducks<span>&nbsp;</span><i>Clangula hyemalis,</i><span>&nbsp;</span>have high bycatch mortality rates. We examined the visual fields of four Long-tailed Ducks to understand their three-dimensional view around the head. The visual field characteristics of this species indicate a reliance on visual guidance for foraging associated with their capture of varied, mobile prey in their generalist diet. We subsequently conducted dive tank trials to test the effectiveness of 12 different LED treatments as visual deterrents to the underwater foraging behaviour of 8 Long-tailed Ducks. During each trial, ducks were offered food rewards from a specific underwater location in a dive tank, having the choice of whether to take the food or not. At the same time, they were exposed to either one LED light or the control (no light) to determine whether the presence of each light affected the foraging success rate of dives compared to the control. Exposure of ducks to all 13 treatment combinations was randomised over the trial period. White lights with an increasing flash rate were shown to have a significant positive effect on foraging success, and likely acted as a visual attractant, rather than as a deterrent. No light treatment significantly reduced the foraging success of ducks. LED lights did not inhibit the feeding of Long-tailed Ducks. Such lights may be ineffective as underwater visual deterrents when deployed on gillnets, while white flashing lights may make foraging sites more attractive to Long-tailed Ducks.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2020.e01102","usgsCitation":"Cantlay, J.C., Bond, A.L., Berlin, A., Crawford, R., Martin, G.R., Rouxel, Y., Peregoy, S., McGrew, K.A., and Portugal, S.J., 2020, Ineffectiveness of light emitting diodes as underwater deterrents for Long-tailed Ducks Clangula hyemalis: Global Ecology and Conservation, v. 23, e01102, 12 p., https://doi.org/10.1016/j.gecco.2020.e01102.","productDescription":"e01102, 12 p.","ipdsId":"IP-112818","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":456836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2020.e01102","text":"Publisher Index Page"},{"id":389255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cantlay, Jennifer C","contributorId":265767,"corporation":false,"usgs":false,"family":"Cantlay","given":"Jennifer","email":"","middleInitial":"C","affiliations":[{"id":54789,"text":"Royal Holloway University of London","active":true,"usgs":false}],"preferred":false,"id":823330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bond, Alexander L.","contributorId":202224,"corporation":false,"usgs":false,"family":"Bond","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":36373,"text":"Ardenna Research","active":true,"usgs":false}],"preferred":false,"id":823331,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berlin, Alicia 0000-0002-5275-3077","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":216023,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":823332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Rory","contributorId":265768,"corporation":false,"usgs":false,"family":"Crawford","given":"Rory","email":"","affiliations":[{"id":54790,"text":"Royal Society for the Protection of Birds Scotland","active":true,"usgs":false}],"preferred":false,"id":823333,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Graham R","contributorId":265769,"corporation":false,"usgs":false,"family":"Martin","given":"Graham","email":"","middleInitial":"R","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":823334,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rouxel, Yann","contributorId":265770,"corporation":false,"usgs":false,"family":"Rouxel","given":"Yann","email":"","affiliations":[{"id":54790,"text":"Royal Society for the Protection of Birds Scotland","active":true,"usgs":false}],"preferred":false,"id":823335,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peregoy, Sharon","contributorId":265778,"corporation":false,"usgs":false,"family":"Peregoy","given":"Sharon","email":"","affiliations":[],"preferred":false,"id":823351,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGrew, Kathleen A.","contributorId":265779,"corporation":false,"usgs":false,"family":"McGrew","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":823352,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Portugal, Steve J","contributorId":265771,"corporation":false,"usgs":false,"family":"Portugal","given":"Steve","email":"","middleInitial":"J","affiliations":[{"id":54789,"text":"Royal Holloway University of London","active":true,"usgs":false}],"preferred":false,"id":823336,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70216725,"text":"70216725 - 2020 - History and evolution of seepage meters for quantifying flow between groundwater and surface water: Part 1 – Freshwater settings","interactions":[],"lastModifiedDate":"2020-12-03T12:48:45.492738","indexId":"70216725","displayToPublicDate":"2020-05-06T17:01:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"History and evolution of seepage meters for quantifying flow between groundwater and surface water: Part 1 – Freshwater settings","docAbstract":"More than 75 years after its introduction, the seepage meter remains the only device for directly quantifying exchange across the sediment-water interface between groundwater and surface water.  This device, first presented in the literature in the 1940s, has been in a state of near-constant improvement and design change, necessitating a review of the history and evolution of the device and a description of current best-measurement practices.  Part 1 of this two-part review documents the evolution of seepage meters deployed in freshwater settings, including a listing of suggestions for best-measurement and deployment practices.  Part 2 covers the same scope for seepage meters deployed in marine settings.  Traditional seepage meters isolate a portion of the sediment bed; seepage commonly is determined by routing the volume of flow across that isolated interface to or from a submerged measurement bag over a known time interval.  The time-integrated volume is then divided by the bed area covered by the meter to obtain a seepage flux expressed in distance per time.  Both the instrument and the measurement are deceptively simple, leading some early users to question the viability of the measurement.  Numerous sources of error have been identified and addressed over the decades, resulting in large improvements in measurement consistency and accuracy.  Duration of each measurement depends on the seepage rate and can vary from minutes to days, leading to the erroneous and yet common assumption that seepage is relatively stable over time.  Designs that replace the measurement bag with a flowmeter eliminate bag-related errors and provide much finer temporal resolution.  Resulting data indicate seepage is highly variable in many settings and responds to numerous sub-daily processes, including evapotranspiration, rainfall, seiches and waves.  Combining direct measurements from seepage meters with other measurements, such as vertical hydraulic gradients and vertical temperature profiles, provides far better understanding of the processes that control exchange between groundwater and surface water.","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2020.103167","usgsCitation":"Rosenberry, D.O., Duque, C., and Lee, D.R., 2020, History and evolution of seepage meters for quantifying flow between groundwater and surface water: Part 1 – Freshwater settings: Earth-Science Reviews, v. 204, 103167, 13 p., https://doi.org/10.1016/j.earscirev.2020.103167.","productDescription":"103167, 13 p.","ipdsId":"IP-113122","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":380934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":805993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duque, Carlos 0000-0001-5833-8483","orcid":"https://orcid.org/0000-0001-5833-8483","contributorId":245349,"corporation":false,"usgs":false,"family":"Duque","given":"Carlos","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":805994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, David R.","contributorId":176828,"corporation":false,"usgs":false,"family":"Lee","given":"David","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":805995,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211851,"text":"70211851 - 2020 - Geophysical characterization of the Northwest Geysers geothermal field, California","interactions":[],"lastModifiedDate":"2020-08-11T13:01:58.184934","indexId":"70211851","displayToPublicDate":"2020-05-06T09:26:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical characterization of the Northwest Geysers geothermal field, California","docAbstract":"The Clear Lake Volcanic Field in northern California is the youngest and northern-most part of a long-lived volcanic system that has produced recent (~10 ka) eruptions.  Adjacent to the Clear Lake Volcanic Field is the worlds largest energy producing geothermal field, The Geysers.  The hottest part of The Geysers geothermal field is in the northwest where temperatures reach ~400 C at 3 km depth. Low permeability, high thermal gradients, and low steam saturation prescribed development of an enhanced geothermal system (EGS) in the Northwest Geysers to increase energy producing capacity. Though the Northwest Geysers is known to be the hottest part of the field, geophysical methods have failed to adequately image any inferred heat source. This project aims to image the heat source of the Northwest Geysers using newly collected gravity and magnetotelluric (MT) measurements.  Gravity data were jointly modeled with existing magnetic data along a two-dimensional profile aligned with an existing geologic cross-section. The key feature of the potential field model is a low-density, low-susceptibility body at 5 km depth (bmsl) under the EGS.  MT data were modeled in three-dimensions to characterize subsurface resistivity structure, where the upper 3 km of the resistivity model agrees well with existing data.  Lithologic and steam saturation are estimated from modeled resistivity values using existing geophysical data.  Below 3 km depth (bmsl), the resistivity model images a possible young intrusion under the EGS. A possible zone of partial melt (<5%) below 7 km depth (bmsl) in the northwestern part of the field is also imaged which extends northeast towards the main part of the Clear Lake Volcanic Field.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2020.106882","usgsCitation":"Peacock, J., Earney, T.E., Mangan, M.T., Schermerhorn, W.D., Glen, J.M., Walters, M., and Hartline, C., 2020, Geophysical characterization of the Northwest Geysers geothermal field, California: Journal of Volcanology and Geothermal Research, v. 339, 106882, 17 p., https://doi.org/10.1016/j.jvolgeores.2020.106882.","productDescription":"106882, 17 p.","ipdsId":"IP-117752","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":377274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Twin Lakes, Glenview","otherGeospatial":"Southern Clear Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.80105590820314,\n              38.85682013474361\n            ],\n            [\n              -122.53875732421875,\n              38.85682013474361\n            ],\n            [\n              -122.53875732421875,\n              38.94338908847991\n            ],\n            [\n              -122.80105590820314,\n              38.94338908847991\n            ],\n            [\n              -122.80105590820314,\n              38.85682013474361\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"339","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mangan, Margret T. 0000-0002-5273-8053","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":237813,"corporation":false,"usgs":false,"family":"Mangan","given":"Margret","email":"","middleInitial":"T.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":795393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795395,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, Mark 0000-0001-8458-4813","orcid":"https://orcid.org/0000-0001-8458-4813","contributorId":213428,"corporation":false,"usgs":false,"family":"Walters","given":"Mark","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":795397,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hartline, Craig","contributorId":213429,"corporation":false,"usgs":false,"family":"Hartline","given":"Craig","email":"","affiliations":[{"id":38755,"text":"Calpine","active":true,"usgs":false}],"preferred":false,"id":795396,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70211702,"text":"70211702 - 2020 - The Mars Global Digital Dune Database (MGD3): Composition and stability","interactions":[],"lastModifiedDate":"2020-08-07T13:47:54.739118","indexId":"70211702","displayToPublicDate":"2020-05-06T08:45:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"The Mars Global Digital Dune Database (MGD3): Composition and stability","docAbstract":"We present an expansion to the Mars Global Digital Dune Database (MGD3) describing 1) bulk dune field composition determined by fitting a mineral spectral library to Thermal Emission Spectra (TES) data, and 2) a morphologic stability index that measures the degree of non-aeolian modification that has eroded and stabilized each dune field. This paper describes results for these two components, providing insight into global patterns of dune sand sources, postdepositional alteration, and mineral maturity. Consistent with the work of others, the main mineral components of each analyzed dune field are feldspar, pyroxene, and high-silica phases, with minor amounts of olivine and possibly sulfate minerals. Subtle global-scale spatial variations in olivine and feldspar abundances correspond with previously observed trends in surface mineralogy, suggesting that dune sand is reflective of its regional setting, and thus that aeolian sand has typically not traveled far (<~100s of km) from its source regions. Dune-field-scale stabilization features are found mainly south of 60S, and in a few areas north of 60N, consistent with observed dune and ripple migration rates in these areas. The presence of such stabilization features may be an indicator of where bedform migration rates are low. Abundances of high-silica phases are elevated in some dune fields located in the southern mid- to high-latitudes, particularly in those dune fields located on intercrater plains, where stabilization features tend to be less well developed and where ripples tend to be actively migrating. This correlation of high-silica phase abundance with bedform activity also occurs in the north polar sand seas. In the north polar sand seas, this spectral signature has been attributed to iron-bearing glass that has been weathered through acid leaching, leaving behind silica-enriched rinds, and kept free of any precipitated coatings through active saltation. We hypothesize that near and thermal infrared spectral signatures of acid leaching are indicators of aeolian activity, and thus potentially of mineral maturity, in dune sands abundant in iron-bearing glass.","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2019.04.025","usgsCitation":"Fenton, L.K., Gullikson, A.L., Hayward, R., Charles, H., and Titus, T.N., 2020, The Mars Global Digital Dune Database (MGD3): Composition and stability: Icarus, v. 330, p. 189-203, https://doi.org/10.1016/j.icarus.2019.04.025.","productDescription":"15 p.","startPage":"189","endPage":"203","ipdsId":"IP-104474","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":377170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"330","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":795173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayward, Rosalyn 0000-0002-7428-0311 rhayward@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-0311","contributorId":208680,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn","email":"rhayward@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Charles, Heather","contributorId":208681,"corporation":false,"usgs":false,"family":"Charles","given":"Heather","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":795176,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795177,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211980,"text":"70211980 - 2020 - Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, U.S.","interactions":[],"lastModifiedDate":"2020-08-12T23:12:31.627153","indexId":"70211980","displayToPublicDate":"2020-05-05T18:02:42","publicationYear":"2020","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":"Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, U.S.","docAbstract":"<p><span>Global trends in wetland degradation and loss have created an urgency to monitor wetland extent, as well as track the distribution and causes of wetland loss. Satellite imagery can be used to monitor wetlands over time, but few efforts have attempted to distinguish anthropogenic wetland loss from climate-driven variability in wetland extent. We present an approach to concurrently track land cover disturbance and inundation extent across the Mid-Atlantic region, United States, using the Landsat archive in Google Earth Engine. Disturbance was identified as a change in greenness, using a harmonic linear regression approach, or as a change in growing season brightness. Inundation extent was mapped using a modified version of the U.S. Geological Survey’s Dynamic Surface Water Extent (DSWE) algorithm. Annual (2015–2018) disturbance averaged 0.32% (1095 km</span><sup>2</sup><span>&nbsp;year</span><sup>-1</sup><span>) of the study area per year and was most common in forested areas. While inundation extent showed substantial interannual variability, the co-occurrence of disturbance and declines in inundation extent represented a minority of both change types, totaling 109 km</span><sup>2</sup><span>&nbsp;over the four-year period, and 186 km</span><sup>2</sup><span>, using the National Wetland Inventory dataset in place of the Landsat-derived inundation extent. When the annual products were evaluated with permitted wetland and stream fill points, 95% of the fill points were detected, with most found by the disturbance product (89%) and fewer found by the inundation decline product (25%). The results suggest that mapping inundation alone is unlikely to be adequate to find and track anthropogenic wetland loss. Alternatively, remotely tracking both disturbance and inundation can potentially focus efforts to protect, manage, and restore wetlands.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs12091464","usgsCitation":"Vanderhoof, M.K., Christensen, J.R., Beal, Y.G., DeVries, B., Lang, M.W., Hwang, N., Mazzarella, C., and Jones, J., 2020, Isolating anthropogenic wetland loss by concurrently tracking inundation and land cover disturbance across the Mid-Atlantic Region, U.S.: Remote Sensing, v. 12, no. 9, 1464, 29 p., https://doi.org/10.3390/rs12091464.","productDescription":"1464, 29 p.","ipdsId":"IP-116446","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35993,"text":"Hydrologic Investigations and Research Section","active":true,"usgs":true}],"links":[{"id":456841,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12091464","text":"Publisher Index Page"},{"id":437000,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ODILGN","text":"USGS data release","linkHelpText":"Tracking disturbance and inundation to identify wetland loss"},{"id":377459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, MarylandPennsylvania, Virginia, West Virginia","otherGeospatial":"Mid-Atlantic Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.70703125,\n              41.44272637767212\n            ],\n            [\n              -75.05859375,\n              41.77131167976407\n            ],\n            [\n              -75.41015624999999,\n              42.09822241118974\n            ],\n            [\n              -79.5849609375,\n              42.06560675405716\n            ],\n            [\n              -79.9365234375,\n              42.293564192170095\n            ],\n            [\n              -80.6396484375,\n              41.672911819602085\n            ],\n            [\n              -80.6396484375,\n              40.1452892956766\n            ],\n            [\n              -81.474609375,\n              39.232253141714885\n            ],\n            [\n              -81.8701171875,\n              38.92522904714054\n            ],\n            [\n              -82.5732421875,\n              38.44498466889473\n            ],\n            [\n              -82.2216796875,\n              37.43997405227057\n            ],\n            [\n              -83.5400390625,\n              36.63316209558658\n            ],\n            [\n              -76.2451171875,\n              36.56260003738545\n            ],\n            [\n              -73.47656249999999,\n              34.30714385628804\n            ],\n            [\n              -70.6640625,\n              35.137879119634185\n            ],\n            [\n              -72.333984375,\n              40.212440718286466\n            ],\n            [\n              -73.8720703125,\n              40.48038142908172\n            ],\n            [\n              -74.6630859375,\n              39.027718840211605\n            ],\n            [\n              -75.6298828125,\n              39.470125122358176\n            ],\n            [\n              -75.5859375,\n              39.90973623453719\n            ],\n            [\n              -74.92675781249999,\n              40.1452892956766\n            ],\n            [\n              -75.234375,\n              40.48038142908172\n            ],\n            [\n              -74.70703125,\n              41.44272637767212\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":796080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":238115,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","middleInitial":"R.","affiliations":[],"preferred":false,"id":796081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beal, Yen-Ju G. 0000-0002-5538-5687 ygbeal@usgs.gov","orcid":"https://orcid.org/0000-0002-5538-5687","contributorId":5328,"corporation":false,"usgs":true,"family":"Beal","given":"Yen-Ju","email":"ygbeal@usgs.gov","middleInitial":"G.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":796083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":796084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hwang, Nora","contributorId":238116,"corporation":false,"usgs":false,"family":"Hwang","given":"Nora","email":"","affiliations":[],"preferred":false,"id":796085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzarella, Christine","contributorId":169818,"corporation":false,"usgs":false,"family":"Mazzarella","given":"Christine","email":"","affiliations":[],"preferred":false,"id":796086,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":796087,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70209111,"text":"sir20205028 - 2020 - Simulation of discharge, water-surface elevations, and water temperatures for the St. Louis River estuary, Minnesota-Wisconsin, 2016–17","interactions":[],"lastModifiedDate":"2020-05-06T11:32:05.924687","indexId":"sir20205028","displayToPublicDate":"2020-05-05T14:18:55","publicationYear":"2020","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":"2020-5028","displayTitle":"Simulation of Discharge, Water-Surface Elevations, and Water Temperatures for the St. Louis River Estuary, Minnesota-Wisconsin, 2016–17","title":"Simulation of discharge, water-surface elevations, and water temperatures for the St. Louis River estuary, Minnesota-Wisconsin, 2016–17","docAbstract":"<p>The St. Louis River estuary is a large freshwater estuary, next to Duluth, Minnesota, that encompasses the headwaters of Lake Superior. The St. Louis River estuary is one of the most complex and compromised near-shore systems in the upper Great Lakes with a long history of environmental contamination caused by logging, mining, paper mills, and other heavy industrial activities. Presently (2020), a widely available, science-based assessment tool capable of evaluating ecosystem-level responses to remediation and restoration projects has not existed for the estuary. To address this need, the U.S. Geological Survey (USGS) built a predictive, mechanistic, three-dimensional hydrodynamic model for the estuary using the Environmental Fluid Dynamics Code framework. In the current version, the model can simulate continuous discharge, water-surface elevations, water temperature, and flow velocity, although the modular framework allows for future additions of water-quality modeling.</p><p>The model was calibrated using data collected from April 2016 through November 2016 and validated with data collected from April 2017 through November 2017. The four types of data used to evaluate model performance were water-surface elevations, discharge, water temperature, and flow velocities. Streamflow and temperature boundary condition data included a mixture of USGS streamgage data, Minnesota Department of Natural Resources gage data, and estimates derived from the gage data.</p><p>The model was able to simulate the water-surface elevations with generally good agreement between the simulated and measured values for both years at the daily time step. Specifically, the model was able to demonstrate excellent<br>agreement with the measured data with Nash-Sutcliffe efficiency coefficients greater than 0.8 for all three locations; however, the model was unable to produce hourly water-surface elevations with such accuracy for 2016–17.</p><p>Discharge was more dynamic than the water-surface elevations, both for the measured and simulated data. Generally, most of the discharge ranged from −650 to 1,200 cubic meters per second, but the constantly changing flux exiting the estuary into Lake Superior (positive flows) and entering the estuary from Lake Superior (negative flows) occurred throughout the year. Even upstream at the St. Louis River at Oliver, Wisconsin, gage (USGS station 0402403250), the effect of flows into the estuary from Lake Superior did occur, demonstrating the strong effect of the Lake Superior seiche on flows for the estuary.</p><p>From a performance standpoint, the model was able to simulate discharge with generally good agreement in both years, although the 2017 validation was better than the 2016 calibration period. For the daily Nash-Sutcliffe efficiency coefficients, the simulated values were 0.98, 0.62, 0.49, and 0.71 for the Oliver gage; the Superior Bay entry channel at Superior, Wisc., (USGS station 464226092005600); the Superior Bay Duluth Ship Canal at Duluth, Minn., (USGS station 464646092052900); and total entries (combination of the Superior entry and Duluth entry), respectively. For the hourly evaluation criteria, the model performed poorly, with Nash-Sutcliffe efficiency coefficients less than 0 for the two entries into Lake Superior; therefore, as a predictor of discharge at the hourly scale, the model performed worse than using the measured data average. Similar to discharge, the model was a good predictor of flow velocity at the daily time scale but had difficulty matching the measured data at the hourly scale. For discharge and flow velocity, matching at subdaily time steps for a system as complicated as the St. Louis River estuary is considered difficult because the match is highly sensitive to coordinating the exact measurement location to the simulated value.</p><p>The final calibration target was water temperature, calibrated for the Oliver gage and the Duluth entry. For calibration purposes, the Duluth entry was the more important water temperature target because the Oliver gage was more of an internal check on the model. The Nash-Sutcliffe efficiency coefficients for the Duluth entry were high; hourly Nash-Sutcliffe efficiency coefficients at the Duluth entry were either at or greater than 0.7 for both years, and daily values were 0.84 and 0.82 for 2016 and 2017, respectively.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205028","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Smith, E.A., Kiesling, R.L., and Hayter, E.J., 2020, Simulation of discharge, water-surface elevations, and water temperatures for the St. Louis River estuary, Minnesota-Wisconsin, 2016–17: U.S. Geological Survey Scientific Investigations Report 2020–5028, 31 p., https://doi.org/10.3133/sir20205028.","productDescription":"Report: viii, 31 p.; Data Release; Dataset","onlineOnly":"Y","ipdsId":"IP-113167","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":437002,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U1XXG0","text":"USGS data release","linkHelpText":"St. Louis River estuary (Minnesota-Wisconsin) EFDC model scenarios for velocity profiles around Munger Landing, selected years (2012-2019)"},{"id":374450,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5028/coverthb.jpg"},{"id":374451,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5028/sir20205028.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5028"},{"id":374452,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990OUS6","text":"USGS data release","linkHelpText":"St. Louis River estuary (Minnesota-Wisconsin) EFDC hydrodynamic model for discharge and temperature simulations: 2016–17"},{"id":374455,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System—","linkHelpText":"USGS Water Data for the Nation"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Louis River estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.548828125,\n              46.62869257083747\n            ],\n            [\n              -92.0050048828125,\n              46.62869257083747\n            ],\n            [\n              -92.0050048828125,\n              47.07199249565323\n            ],\n            [\n              -92.548828125,\n              47.07199249565323\n            ],\n            [\n              -92.548828125,\n              46.62869257083747\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a> <br>U.S. Geological Survey <br>2280 Woodale Drive <br>Mounds View, MN 55112</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Model Calibration and Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-05-05","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayter, Earl J.","contributorId":223403,"corporation":false,"usgs":false,"family":"Hayter","given":"Earl","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":784964,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209891,"text":"ofr20201034 - 2020 - Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","interactions":[],"lastModifiedDate":"2020-05-06T11:27:56.608874","indexId":"ofr20201034","displayToPublicDate":"2020-05-05T11:48:45","publicationYear":"2020","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":"2020-1034","displayTitle":"Prioritizing Habitats based on Abundance and Distribution of Molting Waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","title":"Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","docAbstract":"<p>The National Petroleum Reserve in Alaska (NPR-A) encompasses more than 9.5 million hectares of federally managed land on the Arctic Coastal Plain of northern Alaska, where it supports a diversity of wildlife, including millions of migratory birds. Within the NPR-A, Teshekpuk Lake and the surrounding area provide important habitat for migratory birds, including large numbers of waterfowl and shorebirds that use the area for breeding and molting. This area has been designated by the Bureau of Land Management as the Teshekpuk Lake Special Area (TLSA) and is estimated to host 22 percent of the entire Pacific black brant (<i>Branta bernicla nigricans</i>) population as it undergoes flightless wing molt. Additionally, numerous other waterfowl species use the area for breeding and molting, including greater white-fronted geese (<i>Anser albifrons</i>), snow geese (<i>Chen caerulescens</i>), Canada geese (<i>Branta hutchinsii</i>), and tundra swans (<i>Cygnus columbianus</i>). A data-derived procedure was developed to define important habitats based on recent distributions of molting birds. That procedure was used to identify areas that could be prioritized for exclusion from oil and gas development within a pre-defined “Goose Molting Area” in the TLSA. This analysis was requested by the Bureau of Land Management to provide information for the development of alternative scenarios for an updated NPR-A, Integrated Activity Plan/Environmental Impact Statement. Habitat selections were based on the population densities of Pacific black brant and Canada geese and pre-defined thresholds for the minimum fraction of the population contained within selected areas. Selections were based on long-term records of population density combined with global-positioning system data to reveal small-scale patterns of habitat use. The highest population density of the Pacific black brant was found along the Beaufort Sea coast on the eastern edge of the study area, whereas Canada geese were somewhat more widely distributed. Depending on the selection criteria and width of protective buffers placed around selected habitat units, 52–85 percent of the Goose Molting Area was identified as high-priority habitat. The effectiveness of this approach to habitat protection assumes that buffers around selected habitat units are wide enough to provide adequate protection from disturbance related to oil and gas development. This assumption remained a key source of uncertainty that could be addressed through additional study of disturbance effects on molting waterfowl.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201034","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Flint, P.L., Patil, V., Shults, B., and Thompson, S.J., 2020, Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska: U.S. Geological Survey Open-File Report 2020-1034, 16 p., https://doi.org/10.3133/ofr20201034.","productDescription":"Report: iv, 16 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115467","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":374468,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZGNRTB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Habitat selection scenarios for molting waterfowl in the Goose Molting Area of the Teshekpuk Lake Special Area, for NPR-A Integrated Activity Plan/Environmental Impact Statement (2020)"},{"id":374466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1034/coverthb.jpg"},{"id":374467,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1034/ofr20201034.pdf","text":"Report","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1034"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.59411621093747,\n              70.23346027955571\n          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99508</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Objectives</li><li>Description of Available Data</li><li>Methods</li><li>Molt-Unit Buffers</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li></ul>","publishedDate":"2020-05-05","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":788496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay 0000-0002-9357-194X 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,{"id":70210753,"text":"70210753 - 2020 - Threats posed by the Fungal Kingdom to humans, wildlife, and agriculture","interactions":[],"lastModifiedDate":"2020-06-23T15:36:17.37859","indexId":"70210753","displayToPublicDate":"2020-05-05T10:32:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3819,"text":"mBio","active":true,"publicationSubtype":{"id":10}},"title":"Threats posed by the Fungal Kingdom to humans, wildlife, and agriculture","docAbstract":"The Fungal Kingdom includes at least six million eukaryotic species and is remarkable with respect to its profound impact on global health, biodiversity, ecology, agriculture, manufacturing, and biomedical research. Approximately 625 fungal species have been reported to infect vertebrates, 200 of which can be human-associated, either as commensals and members of our microbiome or as pathogens that cause infectious diseases. These organisms pose a growing threat to human health with the global increase in the incidence of invasive fungal infections, prevalence of fungal allergy, and the evolution of fungal pathogens resistant to some or all current classes of antifungals. More broadly, there has been an unprecedented and worldwide emergence of fungal pathogens impacting animal and plant biodiversity. Approximately 8,000 species of fungi and Oomycetes are associated with plant disease. Indeed, across agriculture, such fungal diseases of plants include new devastating epidemics of trees and jeopardize food security worldwide by causing epidemics in staple and commodity crops that feed billions. Further, ingestion of mycotoxins contributes to ill health and causes cancer. Coordinated international research efforts, enhanced technology translation, and greater policy outreach by scientists are needed to more fully understand the biology and drivers that underlie the emergence of fungal diseases and to mitigate against their impacts. Here, we focus on poignant examples of emerging fungal threats in each of three areas: human health, wildlife biodiversity, and food security.","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mBio.00449-20","usgsCitation":"Fisher, M.C., Gurr, S.J., Cuomo, C.A., Blehert, D.S., Jin, H., Stukenbrock, E.H., Stajich, J.E., Kahmann, R., Boone, C., Denning, D.W., Gow, N.A., Klein, B.S., Kronstad, J.W., Sheppard, D.C., Taylor, J.W., Wright, G.D., Heitman, J., Casadevall, A., and Cowen, L.E., 2020, Threats posed by the Fungal Kingdom to humans, wildlife, and agriculture: mBio, v. 11, no. 3, e00449-20, 17 p., https://doi.org/10.1128/mBio.00449-20.","productDescription":"e00449-20, 17 p.","ipdsId":"IP-116320","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":456843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mbio.00449-20","text":"Publisher Index 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A.","contributorId":172607,"corporation":false,"usgs":false,"family":"Cuomo","given":"Christina","email":"","middleInitial":"A.","affiliations":[{"id":27070,"text":"Genome Sequencing and Analysis Program, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USAg","active":true,"usgs":false}],"preferred":false,"id":791255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":791256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jin, Hailing","contributorId":225455,"corporation":false,"usgs":false,"family":"Jin","given":"Hailing","email":"","affiliations":[{"id":41119,"text":"Department of Microbiology and Plant Pathology, Center for Plant Cell Biology, Institute for Integrative Genome Biology, University of California, Riverside, Riverside, California 92521, USA","active":true,"usgs":false}],"preferred":false,"id":791257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stukenbrock, Eva H.","contributorId":225456,"corporation":false,"usgs":false,"family":"Stukenbrock","given":"Eva","email":"","middleInitial":"H.","affiliations":[{"id":41120,"text":"Max Planck Fellow Group Environmental Genomics, Max Planck Institute for Evolutionary Biology, Plön, Germany","active":true,"usgs":false}],"preferred":false,"id":791258,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stajich, Jason E.","contributorId":225457,"corporation":false,"usgs":false,"family":"Stajich","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":41121,"text":"Environmental Genomics, Christian-Albrechts University, Kiel, Germany","active":true,"usgs":false}],"preferred":false,"id":791259,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kahmann, Regine","contributorId":225458,"corporation":false,"usgs":false,"family":"Kahmann","given":"Regine","email":"","affiliations":[{"id":41122,"text":"Department of Plant Pathology and Microbiology and Institute for Integrative Genome Biology, University of California-Riverside, Riverside, California 92521, USA","active":true,"usgs":false}],"preferred":false,"id":791260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Boone, Charles","contributorId":225459,"corporation":false,"usgs":false,"family":"Boone","given":"Charles","email":"","affiliations":[{"id":41123,"text":"Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":791261,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Denning, David 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,{"id":70228787,"text":"70228787 - 2020 - Drivers and consequences of alternative landscape futures on wildlife distributions in New England, United States","interactions":[],"lastModifiedDate":"2022-02-21T15:46:27.686445","indexId":"70228787","displayToPublicDate":"2020-05-05T09:36:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and consequences of alternative landscape futures on wildlife distributions in New England, United States","docAbstract":"In an era of rapid climate and land transformation, it is increasingly important to understand how future changes impact natural systems. Scenario studies can offer the structure and perspective needed to understand the impacts of change and help inform management and conservation decisions. We implemented a scenario-based approach to assess how two high impact drivers of landscape change influence the distributions of managed wildlife species (n = 10) in the New England region of the northeastern United States. We used expert derived species distribution models (SDMs) and scenarios developed by the New England Landscape Futures Project (NELFP) to estimate how species distributions change under various trajectories (n = 5) of landscape change. The NELFP scenarios were built around two primary drivers – Socio-Economic Connectedness (SEC) and Natural Resource Planning and Innovation (NRPI) – and provide plausible alternatives for how the New England region may change over fifty years (2010 to 2060). Our models generally resulted in species occurrence and richness declines by 2060. The majority of species (7 of 10) experienced declines in regional occurrence for all NELFP scenarios, and one species experienced a projected increase in mean regional occurrence for all scenarios. Our results indicate that the NRPI and SEC drivers strongly influenced projected distribution changes compared to baseline projections. NRPI had a greater impact on distribution change for five species (coyote, moose, striped skunk, white-tailed deer, and wild turkey), while SEC had a greater impact on four species (American black bear, bobcat, raccoon, and red fox); one species (gray fox) was equally influenced by both NRPI and SEC. These results emphasize the importance of integrating both natural resource planning and socio-economic factors when addressing issues of distribution change and offer insights that can inform proactive management and conservation planning.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2020.00164","usgsCitation":"Pearman-Gillman, S., Duveneck, M.J., Murdoch, J.D., and Donovan, T.M., 2020, Drivers and consequences of alternative landscape futures on wildlife distributions in New England, United States: Frontiers in Ecology and Evolution, v. 8, p. 1-19, https://doi.org/10.3389/fevo.2020.00164.","productDescription":"164, 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-114447","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2020.00164","text":"Publisher Index 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J.","contributorId":276073,"corporation":false,"usgs":false,"family":"Duveneck","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":835485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murdoch, James D.","contributorId":276074,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":835486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70214483,"text":"70214483 - 2020 - Types and areal distribution of ground failure associated with the 2019 Ridgecrest, California, earthquake sequence","interactions":[],"lastModifiedDate":"2020-09-28T14:25:07.345953","indexId":"70214483","displayToPublicDate":"2020-05-05T09:22:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Types and areal distribution of ground failure associated with the 2019 Ridgecrest, California, earthquake sequence","docAbstract":"<p>T<span>he July 2019 Ridgecrest, California, earthquake sequence included the largest earthquake (</span>M<span>&nbsp;7.1) to strike the conterminous United States in the past 20&nbsp;yr. To characterize the types, numbers, and areal distributions of different types of ground failure (landslides, liquefaction, and ground cracking), I conducted a field investigation of ground failure triggered by the sequence around the periphery of the epicentral area (which had limited access). The earthquake sequence triggered sparse and widely scattered landslides over an area of&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>22</mn><mo xmlns=&quot;&quot;>,</mo><mn xmlns=&quot;&quot;>000</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><msup xmlns=&quot;&quot;><mi>km</mi><mn>2</mn></msup></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">∼</span><span id=\"MathJax-Span-4\" class=\"mn\">22</span><span id=\"MathJax-Span-5\" class=\"mo\">,</span><span id=\"MathJax-Span-6\" class=\"mn\">000</span><span id=\"MathJax-Span-7\" class=\"mtext\">  </span><span id=\"MathJax-Span-8\" class=\"msup\"><span id=\"MathJax-Span-9\" class=\"mi\">km</span><span id=\"MathJax-Span-10\" class=\"mn\">2</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼22,000  km2</span></span></span><span>&nbsp;and at a maximum epicentral distance of 114&nbsp;km; these metrics are within the upper bounds as compared with global averages for earthquakes of similar size. Some rock falls blocked primary and secondary roads, but no other landslide damage was reported. Almost all of the landslides in the peripheral area were small rock falls (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>1</mn><mo xmlns=&quot;&quot;>&amp;#x2013;</mo><mn xmlns=&quot;&quot;>10</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><msup xmlns=&quot;&quot;><mi mathvariant=&quot;normal&quot;>m</mi><mn>3</mn></msup></math>\"><span id=\"MathJax-Span-11\" class=\"math\"><span><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">∼</span><span id=\"MathJax-Span-14\" class=\"mn\">1</span><span id=\"MathJax-Span-15\" class=\"mo\">–</span><span id=\"MathJax-Span-16\" class=\"mn\">10</span><span id=\"MathJax-Span-17\" class=\"mtext\">  </span><span id=\"MathJax-Span-18\" class=\"msup\"><span id=\"MathJax-Span-19\" class=\"mi\">m</span><span id=\"MathJax-Span-20\" class=\"mn\">3</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼1–10  m3</span></span>⁠</span><span>), but a few larger (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>100</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><msup xmlns=&quot;&quot;><mi mathvariant=&quot;normal&quot;>m</mi><mn>3</mn></msup></math>\"><span id=\"MathJax-Span-21\" class=\"math\"><span><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mo\">∼</span><span id=\"MathJax-Span-24\" class=\"mn\">100</span><span id=\"MathJax-Span-25\" class=\"mtext\">  </span><span id=\"MathJax-Span-26\" class=\"msup\"><span id=\"MathJax-Span-27\" class=\"mi\">m</span><span id=\"MathJax-Span-28\" class=\"mn\">3</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼100  m3</span></span>⁠</span><span>) rock slides also occurred. Though there are only informal reports about ground failure in the immediate epicentral area and we lack a detailed survey there, the small number (hundreds) and size of the landslides still seems to be far below global averages for&nbsp;</span>M<span>&nbsp;7.1. This could be a result of the arid landscape and lack of a deeply weathered zone of soil and regolith. Liquefaction occurred along part of the western margin of Searles Valley. One large (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>0.4</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><msup xmlns=&quot;&quot;><mi>km</mi><mn>2</mn></msup></math>\"><span id=\"MathJax-Span-29\" class=\"math\"><span><span id=\"MathJax-Span-30\" class=\"mrow\"><span id=\"MathJax-Span-31\" class=\"mo\">∼</span><span id=\"MathJax-Span-32\" class=\"mn\">0.4</span><span id=\"MathJax-Span-33\" class=\"mtext\">  </span><span id=\"MathJax-Span-34\" class=\"msup\"><span id=\"MathJax-Span-35\" class=\"mi\">km</span><span id=\"MathJax-Span-36\" class=\"mn\">2</span></span></span></span></span><span class=\"MJX_Assistive_MathML\">∼0.4  km2</span></span>⁠</span><span>) lateral spread caused by liquefaction severely damaged parts of Trona. Minor liquefaction also occurred in a&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;#x223C;</mo><mn xmlns=&quot;&quot;>100</mn><mtext xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>&amp;#x2010;</mtext><mi xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>m</mi><mtext xmlns=&quot;&quot; mathvariant=&quot;normal&quot;>&amp;#x2010;</mtext><mi xmlns=&quot;&quot;>wide</mi></math>\"><span id=\"MathJax-Span-37\" class=\"math\"><span><span id=\"MathJax-Span-38\" class=\"mrow\"><span id=\"MathJax-Span-39\" class=\"mo\">∼</span><span id=\"MathJax-Span-40\" class=\"mn\">100</span><span id=\"MathJax-Span-41\" class=\"mtext\">‐</span><span id=\"MathJax-Span-42\" class=\"mi\">m</span><span id=\"MathJax-Span-43\" class=\"mtext\">‐</span><span id=\"MathJax-Span-44\" class=\"mi\">wide</span></span></span></span><span class=\"MJX_Assistive_MathML\">∼100‐m‐wide</span></span></span><span>&nbsp;band along the fault‐rupture zone in some places.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200001","usgsCitation":"Jibson, R.W., 2020, Types and areal distribution of ground failure associated with the 2019 Ridgecrest, California, earthquake sequence: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1567-1578, https://doi.org/10.1785/0120200001.","productDescription":"12 p.","startPage":"1567","endPage":"1578","ipdsId":"IP-117625","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.87231445312499,\n              35.55010533588552\n            ],\n            [\n              -117.454833984375,\n              35.55010533588552\n            ],\n            [\n              -117.454833984375,\n              35.782170703266075\n            ],\n            [\n              -117.87231445312499,\n              35.782170703266075\n            ],\n            [\n              -117.87231445312499,\n              35.55010533588552\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799700,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70220547,"text":"70220547 - 2020 - Combining genetic and demographic monitoring better informs conservation of an endangered urban snake","interactions":[],"lastModifiedDate":"2025-04-16T13:18:39.30065","indexId":"70220547","displayToPublicDate":"2020-05-05T08:10:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Combining genetic and demographic monitoring better informs conservation of an endangered urban snake","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Conversion and fragmentation of wildlife habitat often leads to smaller and isolated populations and can reduce a species’ ability to disperse across the landscape. As a consequence, genetic drift can quickly lower genetic variation and increase vulnerability to extirpation. For species of conservation concern, quantification of population size and connectivity can clarify the influence of genetic drift in local populations and provides important information for conservation management and recovery strategies. Here, we used genome-wide single nucleotide polymorphism (SNP) data and capture-mark-recapture methods to evaluate the genetic diversity and demography within seven focal sites of the endangered San Francisco gartersnake (<i>Thamnophis sirtalis tetrataenia</i>), a species affected by alteration and isolation of wetland habitats throughout its distribution. The primary goals were to determine the population structure and degree of genetic isolation among<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>s</i>.<span>&nbsp;</span><i>tetrataenia</i><span>&nbsp;</span>populations and estimate effective size and population abundance within sites to better understand the present and future importance of genetic drift. We also used temporally sampled datasets to examine the magnitude of genetic change over time. We found moderate population genetic structure throughout the San Francisco Peninsula that partitions sites into northern and southern regional clusters. Point estimates of both effective size and population abundance were generally small (≤ 100) for a majority of the sites, and estimates were particularly low in the northern populations. Genetic analyses of temporal datasets indicated an increase in genetic differentiation, especially for the most geographically isolated sites, and decreased genetic diversity over time in at least one site (Pacifica). Our results suggest that drift-mediated processes as a function of small population size and reduced connectivity from neighboring populations may decrease diversity and increase differentiation. Improving genetic diversity and connectivity among<span>&nbsp;</span><i>T</i>.<span>&nbsp;</span><i>s</i>.<span>&nbsp;</span><i>tetrataenia</i><span>&nbsp;</span>populations could promote persistence of this endangered snake.</p></div></div><div id=\"figure-carousel-section\"><br></div>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0231744","usgsCitation":"Wood, D.A., Rose, J.P., Halstead, B., Stoelting, R.E., Swaim, K.E., and Vandergast, A.G., 2020, Combining genetic and demographic monitoring better informs conservation of an endangered urban snake: PLoS ONE, v. 15, no. 5, e0231744, 27 p.; Data Release, https://doi.org/10.1371/journal.pone.0231744.","productDescription":"e0231744, 27 p.; Data Release","ipdsId":"IP-114654","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458808,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0231744","text":"Publisher Index Page"},{"id":437231,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YKLBB5","text":"USGS data release","linkHelpText":"San Francisco Gartersnake (Thamnophis sirtalis tetrataenia) Genomic and Demographic Data from San Mateo County and Northeastern Santa Cruz County Collected Between 2016 - 2018"},{"id":385763,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.62939453125001,\n              37.243448378654115\n            ],\n            [\n              -122.05261230468751,\n              37.243448378654115\n            ],\n            [\n              -122.05261230468751,\n              37.81846319511331\n            ],\n            [\n              -122.62939453125001,\n              37.81846319511331\n            ],\n            [\n              -122.62939453125001,\n              37.243448378654115\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoelting, Ricka E.","contributorId":171533,"corporation":false,"usgs":false,"family":"Stoelting","given":"Ricka","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":815970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swaim, Karen E","contributorId":258210,"corporation":false,"usgs":false,"family":"Swaim","given":"Karen","email":"","middleInitial":"E","affiliations":[{"id":52239,"text":"Swaim Biological Incorporated","active":true,"usgs":false}],"preferred":false,"id":815971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815972,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70210033,"text":"70210033 - 2020 - The future of landslides’ past—A framework for assessing consecutive landsliding systems","interactions":[],"lastModifiedDate":"2020-07-09T14:58:06.477298","indexId":"70210033","displayToPublicDate":"2020-05-05T07:25:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"The future of landslides’ past—A framework for assessing consecutive landsliding systems","docAbstract":"Landslides often happen where they have already occurred in the past. The potential of landslides to reduce or enhance conditions for further landsliding has long been recognized and has often been reported, but the mechanisms and spatial and temporal scales of these processes have previously received little specific attention. Despite a preponderance of qualitative and anecdotal evidence, there has been limited analysis. As a result, there is little consensus on the meaning of terms such as landslide repetition, recurrence, and reactivation. This source of confusion is evident when such terms are also used to describe systems where landsliding is prevalent but unrelated to landslide history. Recent findings, partly based on a rare multi-temporal landslide inventory for an area in Italy, show that the impacts of earlier landslides affect a substantial fraction of landslides, that landslides following earlier landslides differ from those that do not, and that accounting for the effect of previous landslides can improve susceptibility assessments. These findings await confirmation in other landslide prone landscapes but show that consecutive landsliding deserves more attention, which requires consistent terminology. No such terminology is presently available, and we therefore propose it in this manuscript. We use the term 'uncorrelated landsliding' to describe situations where landslides are common, but where a correlation with environmental variables such as terrain steepness is not implied. We propose 'correlated landsliding' to describe situations where landslides are common and correlations with environmental variables exist, and 'path-dependent landsliding' to describe situations where causal relations exist between consecutive landslides, for instance when landslides occur at the scarp of previous landslides. These are situations where past landslides impact future landslides. Within the path-dependent category, we distinguish three subcategories based on the spatial distance between earlier and later landslides: 'reactivation' or 'continuation' if essentially the same material recommences or continues to slide, 'local activation' if an earlier slide causes changes in a local hillslope that cause a later slide, and 'remote activation' if an earlier slide causes changes elsewhere in the landscape that cause a later landslide. We use this proposed set of terms to outline some prominent knowledge gaps and potential research questions.","language":"English","publisher":"Springer","doi":"10.1007/s10346-020-01405-7","usgsCitation":"Temme, A., Guzzetti, F., Samia, J., and Mirus, B.B., 2020, The future of landslides’ past—A framework for assessing consecutive landsliding systems: Landslides, v. 17, p. 1519-1528, https://doi.org/10.1007/s10346-020-01405-7.","productDescription":"10 p.","startPage":"1519","endPage":"1528","ipdsId":"IP-116985","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":499875,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/the-future-of-landslides-pasta-framework-for-assessing-consecutiv","text":"External Repository"},{"id":374647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Temme, A.","contributorId":224639,"corporation":false,"usgs":false,"family":"Temme","given":"A.","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":788881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guzzetti, F.","contributorId":224640,"corporation":false,"usgs":false,"family":"Guzzetti","given":"F.","affiliations":[{"id":33673,"text":"Italian National Research Council","active":true,"usgs":false}],"preferred":false,"id":788882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samia, J.","contributorId":224641,"corporation":false,"usgs":false,"family":"Samia","given":"J.","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":788883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":788884,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70209896,"text":"70209896 - 2020 - Ringed seal (Pusa hispida) seasonal movements, diving, and haul-out behavior in the Beaufort, Chukchi, and Bering Seas (2011–2017)","interactions":[],"lastModifiedDate":"2020-07-09T14:55:32.503474","indexId":"70209896","displayToPublicDate":"2020-05-05T07:05:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Ringed seal (Pusa hispida) seasonal movements, diving, and haul-out behavior in the Beaufort, Chukchi, and Bering Seas (2011–2017)","docAbstract":"Continued Arctic warming and sea-ice loss will have important implications for the conservation of ringed seals, a highly ice-dependent species. A better understanding of their spatial ecology will help characterize emerging ecological trends and inform management decisions. We deployed satellite transmitters on ringed seals in the summers of 2011, 2014, and 2016 near Utqiaġvik (formerly Barrow), Alaska to monitor their movements, diving, and haul-out behavior. We present analyses of tracking and dive data provided by 17 seals that were tracked until at least January of the following year. Seals mostly ranged north of Utqiaġvik in the Beaufort and Chukchi Seas during summer before moving into the southern Chukchi and Bering Seas during winter. In all seasons, ringed seals occupied a diversity of habitats and spatial distributions; from near shore and localized, to far offshore and wide-ranging in drifting sea-ice. Continental shelf waters were occupied for >96% of tracking-days, during which repetitive-diving (suggestive of foraging) primarily to the seafloor was the most frequent activity. From mid-summer to early-fall, 12 seals made ~ one-week forays off-shelf to the deep Arctic Basin, most reaching the retreating pack-ice, where they spent most of their time hauled out. Diel activity patterns suggested greater allocation of foraging efforts to midday hours. Haul-out patterns were complementary, occurring mostly at night until April-May when midday hours were preferred. Ringed seals captured in 2011—concurrent with an unusual mortality event (UME) that affected all ice seal species—differed morphologically and behaviorally from seals captured in other years. Speculations about the physiology of molting and its role in energetics, habitat use, and behavior are discussed; along with possible evidence of purported ringed seal ecotypes.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6302","usgsCitation":"Von Duyke, A.L., Douglas, D.C., Herreman, J.K., and Crawford, J.A., 2020, Ringed seal (Pusa hispida) seasonal movements, diving, and haul-out behavior in the Beaufort, Chukchi, and Bering Seas (2011–2017): Ecology and Evolution, v. 10, no. 12, p. 5595-5616, https://doi.org/10.1002/ece3.6302.","productDescription":"21 p.","startPage":"5595","endPage":"5616","ipdsId":"IP-102815","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":456850,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6302","text":"Publisher Index Page"},{"id":374482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea, Chukchi Sea, Bering Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -141.50390625,\n              69.59589006237648\n            ],\n            [\n              -141.6796875,\n              70.67088107015755\n            ],\n            [\n              -149.94140625,\n              73.32785809840696\n            ],\n            [\n              -161.19140625,\n              73.02259157147301\n            ],\n            [\n              -168.57421875,\n              71.24435551310674\n            ],\n            [\n              -168.75,\n              64.92354174306496\n            ],\n            [\n              -170.68359375,\n              53.330872983017066\n            ],\n            [\n              -166.9921875,\n              51.6180165487737\n            ],\n            [\n              -158.73046875,\n              55.07836723201515\n            ],\n            [\n              -156.796875,\n              58.81374171570782\n            ],\n            [\n              -158.55468749999997,\n              63.31268278043484\n            ],\n            [\n              -161.89453125,\n              69.16255790810501\n            ],\n            [\n              -157.32421875,\n              71.13098770917023\n            ],\n            [\n              -141.50390625,\n              69.59589006237648\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Von Duyke, Andrew L.","contributorId":214208,"corporation":false,"usgs":false,"family":"Von Duyke","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":38995,"text":"North Slope Borough Department of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":788535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":788536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herreman, Jason K","contributorId":224482,"corporation":false,"usgs":false,"family":"Herreman","given":"Jason","email":"","middleInitial":"K","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":788537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crawford, Justin A.","contributorId":214225,"corporation":false,"usgs":false,"family":"Crawford","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":788538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70211673,"text":"70211673 - 2020 - Spatial population structure of a widespread aquatic insect in the Colorado River Basin: Evidence for a Hydropsyche oslari species complex","interactions":[],"lastModifiedDate":"2020-08-06T21:28:34.842035","indexId":"70211673","displayToPublicDate":"2020-05-04T16:22:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial population structure of a widespread aquatic insect in the Colorado River Basin: Evidence for a <i>Hydropsyche oslari</i> species complex","title":"Spatial population structure of a widespread aquatic insect in the Colorado River Basin: Evidence for a Hydropsyche oslari species complex","docAbstract":"<p><span>Structural connectivity and dispersal ability are important constraints on functional connectivity among populations. For aquatic organisms that disperse among stream corridors, the regional structure of a river network can, thus, define the boundaries of gene flow. In this study, we used mitochondrial DNA (mtCO1 barcoding gene) to examine the genetic diversity and population structure of a caddisfly with strong dispersal capabilities,&nbsp;</span><i>Hydropsyche oslari</i><span>&nbsp;(Trichoptera:Hydropsychidae), in the topologically-diverse Colorado River Basin. We expected to find less genetic differentiation among populations of&nbsp;</span><i>H</i><span>.&nbsp;</span><i>oslari</i><span>&nbsp;within the Upper Basin, which has a dense dendritic network of perennial tributaries that allow for greater potential dispersal and gene flow, than among populations within the arid and sparse river network of the Lower Basin. We also expected to find genetic differentiation among&nbsp;</span><i>H. oslari</i><span>&nbsp;in the Upper and Lower Basins because contemporary populations are geographically distant from each other and have been separated by a &gt;300-km-long reservoir (Lake Powell) for ½ a century. Consistent with these predictions, we found that populations of&nbsp;</span><i>H</i><span>.&nbsp;</span><i>oslari</i><span>&nbsp;within the Upper Basin had more shared haplotypes and less nucleotide diversity (π = 0.001–0.008) than&nbsp;</span><i>H</i><span>.&nbsp;</span><i>oslari</i><span>&nbsp;within the Lower Basin (</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.01, π = 0.014–0.028). However, populations were genetically more structured in the Upper Basin (</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.47) than in the Lower Basin (</span><i>F</i><sub>ST</sub><span>&nbsp;= 0.01). We also found that populations in the Upper and Lower Basin are entirely genetically differentiated (</span><i>S</i><sub>nn</sub><span>&nbsp;= 1), suggesting that these 2 populations were isolated thousands of years before the 1963 closure of Glen Canyon Dam and subsequent filling of Lake Powell. The most similar haplotypes among the 2 basins represent a 5.4% difference, which indicates the presence of a species complex within&nbsp;</span><i>H. oslari</i><span>.</span></p>","language":"English","publisher":"Society for Freshwater Science","doi":"10.1086/709022","usgsCitation":"Metcalfe, A.N., Kennedy, T.A., Marks, J.C., Smith, A.D., and Muehlbauer, J.D., 2020, Spatial population structure of a widespread aquatic insect in the Colorado River Basin: Evidence for a Hydropsyche oslari species complex: Freshwater Science, v. 39, no. 2, p. 309-320, https://doi.org/10.1086/709022.","productDescription":"12 p.","startPage":"309","endPage":"320","ipdsId":"IP-101885","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437003,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93GMB1Y","text":"USGS data release","linkHelpText":"Locality based caddisfly (Hydropsyche oslari) sampling data and CO1 sequences from the southwestern United States, 2013-2016"},{"id":377118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.400390625,\n              32.91648534731439\n            ],\n            [\n              -110.302734375,\n              31.203404950917395\n            ],\n            [\n              -108.369140625,\n              31.728167146023935\n            ],\n            [\n              -106.25976562499999,\n              36.527294814546245\n            ],\n            [\n              -104.4140625,\n              39.639537564366684\n            ],\n            [\n              -108.720703125,\n              44.5278427984555\n            ],\n            [\n              -111.4453125,\n              39.842286020743394\n            ],\n            [\n              -112.8515625,\n              38.34165619279595\n            ],\n            [\n              -115.927734375,\n              40.3130432088809\n            ],\n            [\n              -117.7734375,\n              40.51379915504413\n            ],\n            [\n              -116.806640625,\n              33.7243396617476\n            ],\n            [\n              -115.400390625,\n              32.91648534731439\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Metcalfe, Anya N. 0000-0002-6286-4889 ametcalfe@usgs.gov","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":5271,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","email":"ametcalfe@usgs.gov","middleInitial":"N.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. 0000-0003-3477-3629 tkennedy@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":167537,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","email":"tkennedy@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marks, Jane C.","contributorId":237013,"corporation":false,"usgs":false,"family":"Marks","given":"Jane","email":"","middleInitial":"C.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":794984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Aaron D.","contributorId":167702,"corporation":false,"usgs":false,"family":"Smith","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":24810,"text":"Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":false,"id":794985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794986,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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