{"pageNumber":"483","pageRowStart":"12050","pageSize":"25","recordCount":165415,"records":[{"id":70220542,"text":"70220542 - 2021 - Coral reef resilience differs among islands within the Gulf of Mannar, southeast India, following successive coral bleaching events","interactions":[],"lastModifiedDate":"2021-08-03T16:13:04.566218","indexId":"70220542","displayToPublicDate":"2021-05-17T08:13:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef resilience differs among islands within the Gulf of Mannar, southeast India, following successive coral bleaching events","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>We used a 12-yr data set of benthic cover (2005–2017), spanning two bleaching events, to assess changes in benthic cover and coral community composition along 21 islands within Gulf of Mannar (GoM), southeast India. Overall, between 2005 and 2017 reefs had a simultaneous decrease in relative coral cover (avg. =  − 36%) and increase in algal cover (avg. =  + 45%). Changes in benthic cover were not consistent among islands, ranging from − 34 to + 5% for coral cover and from − 0.3 to + 50% for algae. There was a spatial gradient in coral mortality, which increased among islands from west to east. However, there was a disconnect between coral loss and subsequent increases in algae. Algal cover increased more on islands in west GoM where coral loss was minimal. Environmental co-factors (coral cover, percent bleaching, degree heating weeks, fish densities, Chl-a, pollution) explained &gt; 50% of the benthic cover responses to successive bleaching. Coral survival was favored on islands with higher fish densities and chlorophyll-a levels, and increases in algal cover were associated with higher measures of pollution from terrestrial runoff. Coral morphotypes differed in their response following successive bleaching resulting in changes in the relative abundance of different coral morphotypes. Existing climate projections (RCP8.5) indicate a 22-yr gap in the onset of annual severe bleaching (ASB) for reefs in the east versus west GoM, and ASB was ameliorated for all reefs under the RCP4.5 projections. There is limited knowledge of the resilience of GoM reefs, and this study identifies coral morphotypes and reefs that are most likely to recover or decline from successive bleaching, in the context of forecasts of the frequency of future bleaching events in GoM.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-021-02102-0","usgsCitation":"Raj, K.D., Aeby, G.S., Mathews, G., Williams, G., Caldwell, J.M., Laju, R.L., Bharath, M.S., Kumar, P., Arasamuthu, A., Asir, N.G., Wedding, L.M., Daview, A., Moritsch, M.M., and Edward, J.K., 2021, Coral reef resilience differs among islands within the Gulf of Mannar, southeast India, following successive coral bleaching events: Coral Reefs, v. 40, p. 1029-1044, https://doi.org/10.1007/s00338-021-02102-0.","productDescription":"16 p.","startPage":"1029","endPage":"1044","ipdsId":"IP-122567","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467244,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s00338-021-02102-0","text":"External Repository"},{"id":385765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Gulf of Mannar","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              77.9150390625,\n              6.053161295714067\n            ],\n            [\n              80.5517578125,\n              6.053161295714067\n            ],\n            [\n              80.5517578125,\n              11.480024648555816\n            ],\n            [\n              77.9150390625,\n              11.480024648555816\n            ],\n            [\n              77.9150390625,\n              6.053161295714067\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Raj, K Diraviya","contributorId":258198,"corporation":false,"usgs":false,"family":"Raj","given":"K","email":"","middleInitial":"Diraviya","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aeby, Greta S.","contributorId":64783,"corporation":false,"usgs":false,"family":"Aeby","given":"Greta","email":"","middleInitial":"S.","affiliations":[{"id":13394,"text":"Hawai‘i Institute of Marine Biology","active":true,"usgs":false}],"preferred":false,"id":815943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathews, G.M.","contributorId":152574,"corporation":false,"usgs":false,"family":"Mathews","given":"G.M.","email":"","affiliations":[],"preferred":false,"id":815944,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Gareth J","contributorId":258199,"corporation":false,"usgs":false,"family":"Williams","given":"Gareth J","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":815945,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caldwell, Jamie M.","contributorId":241020,"corporation":false,"usgs":false,"family":"Caldwell","given":"Jamie","email":"","middleInitial":"M.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":815946,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laju, R L","contributorId":258200,"corporation":false,"usgs":false,"family":"Laju","given":"R","email":"","middleInitial":"L","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815947,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bharath, M Selva","contributorId":258201,"corporation":false,"usgs":false,"family":"Bharath","given":"M","email":"","middleInitial":"Selva","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kumar, P Dinesh","contributorId":258202,"corporation":false,"usgs":false,"family":"Kumar","given":"P Dinesh","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815949,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Arasamuthu, A","contributorId":258203,"corporation":false,"usgs":false,"family":"Arasamuthu","given":"A","email":"","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815950,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Asir, N Gladwin Gnana","contributorId":258204,"corporation":false,"usgs":false,"family":"Asir","given":"N","email":"","middleInitial":"Gladwin Gnana","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815951,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wedding, Lisa M.","contributorId":241019,"corporation":false,"usgs":false,"family":"Wedding","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":815952,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Daview, Andrew","contributorId":258205,"corporation":false,"usgs":false,"family":"Daview","given":"Andrew","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":815953,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moritsch, Monica Mei Jeen 0000-0002-3890-1264","orcid":"https://orcid.org/0000-0002-3890-1264","contributorId":225210,"corporation":false,"usgs":true,"family":"Moritsch","given":"Monica","email":"","middleInitial":"Mei Jeen","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":815954,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Edward, J K Patterson","contributorId":258206,"corporation":false,"usgs":false,"family":"Edward","given":"J","email":"","middleInitial":"K Patterson","affiliations":[{"id":52232,"text":"Suganthi Devadason Marine Research Institute","active":true,"usgs":false}],"preferred":false,"id":815955,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70221168,"text":"70221168 - 2021 - Quantifying slopes as a driver of forest to marsh conversion using geospatial techniques: Application to Chesapeake Bay coastal-plain, USA","interactions":[],"lastModifiedDate":"2021-06-04T12:58:00.496999","indexId":"70221168","displayToPublicDate":"2021-05-17T07:49:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying slopes as a driver of forest to marsh conversion using geospatial techniques: Application to Chesapeake Bay coastal-plain, USA","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Coastal salt marshes, which provide valuable ecosystem services such as flood mitigation and carbon sequestration, are threatened by rising sea level. In response, these ecosystems migrate landward, converting available upland into salt marsh. In the coastal-plain surrounding Chesapeake Bay, United States, conversion of coastal forest to salt marsh is well-documented and may offset salt marsh loss due to sea level rise, sediment deficits, and wave erosion. Land slope at the marsh-forest boundary is an important factor determining migration likelihood, however, the standard method of using field measurements to assess slope across the marsh-forest boundary is impractical on the scale of an estuary. Therefore, we developed a general slope quantification method that uses high resolution elevation data and a repurposed shoreline analysis tool to determine slope along the marsh-forest boundary for the entire Chesapeake Bay coastal-plain and find that less than 3% of transects have a slope value less than 1%; these low slope environments offer more favorable conditions for forest to marsh conversion. Then, we combine the bay-wide slope and elevation data with inundation modeling from Hurricane Isabel to determine likelihood of coastal forest conversion to salt marsh. This method can be applied to local and estuary-scale research to support management decisions regarding which upland forested areas are more critical to preserve as available space for marsh migration.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fenvs.2021.616319","usgsCitation":"Molino, G.D., Defne, Z., Aretxabaleta, A., Ganju, N., and Carr, J., 2021, Quantifying slopes as a driver of forest to marsh conversion using geospatial techniques: Application to Chesapeake Bay coastal-plain, USA: Frontiers in Environmental Science, v. 9, 616319, 13 p., https://doi.org/10.3389/fenvs.2021.616319.","productDescription":"616319, 13 p.","ipdsId":"IP-120435","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2021.616319","text":"Publisher Index Page"},{"id":386201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, Virginia","otherGeospatial":"Chesapeake Bay coastal-plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.87109375,\n              36.84446074079564\n            ],\n            [\n              -75.12451171875,\n              36.84446074079564\n            ],\n            [\n              -75.12451171875,\n              39.740986355883564\n            ],\n            [\n              -77.87109375,\n              39.740986355883564\n            ],\n            [\n              -77.87109375,\n              36.84446074079564\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Molino, Grace Damore 0000-0001-7345-8619","orcid":"https://orcid.org/0000-0001-7345-8619","contributorId":225086,"corporation":false,"usgs":true,"family":"Molino","given":"Grace","email":"","middleInitial":"Damore","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220514,"text":"70220514 - 2021 - Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment","interactions":[],"lastModifiedDate":"2021-05-19T12:04:52.977459","indexId":"70220514","displayToPublicDate":"2021-05-17T07:22:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment","docAbstract":"<div id=\"ab015\" class=\"abstract author\" lang=\"en\"><div id=\"as015\"><p id=\"sp0015\">Riparian ecosystems provide critical habitat for many species, yet assessment of vegetation condition at local scales is difficult to measure when considering large areas over long time periods. We present a framework to map and monitor two deciduous cover types, upland and riparian, occupying a small fraction of an expansive, mountainous landscape in north-central Wyoming. Initially, we developed broad-scale predictions of predominant woody vegetation types by integrating Landsat data into species distribution models and combining subsequent outputs into a synthesis map. Then, we evaluated a 35-year Landsat time series (1985–2019) using the Mann-Kendall test to identify significant trends in the condition of upland and riparian deciduous vegetation and assessed the rate and direction of change using the Theil-Sen estimator. Finally, we used plot level data to assess the utility of the framework to detect bottom-up controls (ungulate browse pressure and management actions) on vegetation condition. The synthesis map had an overall correct classification rate of 87% and field data indicated deciduous vegetation within 45&nbsp;m of coniferous forest faces increased pressure of conifer expansion. The trend assessment identified consistent patterns operating at the landscape scale across both upland and riparian deciduous vegetation; a predominant greening trend was observed for 12&nbsp;years followed by a 9-year browning trend, before switching back to a greening trend for the last 13&nbsp;years of the study. Our results indicate trends are driven by the climate of the measurement period at the landscape scale. Although we did not find conclusive evidence to establish a strong link between browse pressure and satellite data, we highlight examples where prevailing trends can be overridden by local disturbance or management intervention. This framework is transferable to other understudied riparian environments throughout western North America to provide insight on ecohydrological processes and assess global and local stressors across broad spatiotemporal scales.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2021.107807","usgsCitation":"Assal, T.J., Steen, V., Caltrider, T., Cundy, T., Stewart, C., Manning, N., and Anderson, P.J., 2021, Monitoring long-term riparian vegetation trends to inform local habitat management in a mountainous environment: Ecological Indicators, v. 127, 107807, 11 p., https://doi.org/10.1016/j.ecolind.2021.107807.","productDescription":"107807, 11 p.","ipdsId":"IP-124139","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":452231,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2021.107807","text":"Publisher Index Page"},{"id":385700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.8193359375,\n              42.261049162113856\n            ],\n            [\n              -106.083984375,\n              42.261049162113856\n            ],\n            [\n              -106.083984375,\n              45.02695045318546\n            ],\n            [\n              -109.8193359375,\n              45.02695045318546\n            ],\n            [\n              -109.8193359375,\n              42.261049162113856\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"127","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Assal, Timothy J. 0000-0001-6342-2954","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":258157,"corporation":false,"usgs":false,"family":"Assal","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":815864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steen, Valerie A. 0000-0002-1417-8139","orcid":"https://orcid.org/0000-0002-1417-8139","contributorId":205994,"corporation":false,"usgs":false,"family":"Steen","given":"Valerie A.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":815865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caltrider, Todd","contributorId":258158,"corporation":false,"usgs":false,"family":"Caltrider","given":"Todd","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":815866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cundy, Travis","contributorId":258159,"corporation":false,"usgs":false,"family":"Cundy","given":"Travis","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":815867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, Cheyenne","contributorId":258161,"corporation":false,"usgs":false,"family":"Stewart","given":"Cheyenne","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":815868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manning, Nicholas","contributorId":258163,"corporation":false,"usgs":false,"family":"Manning","given":"Nicholas","email":"","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":815869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":815870,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220516,"text":"70220516 - 2021 - The importance of wilderness to wolf <i>(Canis lupus)</i> survival and cause-specific mortality over 50 years","interactions":[],"lastModifiedDate":"2021-05-18T12:20:25.599419","indexId":"70220516","displayToPublicDate":"2021-05-17T07:17:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The importance of wilderness to wolf <i>(Canis lupus)</i> survival and cause-specific mortality over 50 years","docAbstract":"We assessed the relative importance of wilderness to gray wolf (Canis lupus) population dynamics over 50 years in a population that 1) was long extant (i.e., not reintroduced or recolonized), 2) was not subject to harvest in our study area until recently, and 3) used both wilderness and adjacent, mainly public, non-wilderness. We analyzed the survival of radiocollared wolves (n = 756 collared-wolf tenures) during 1968–2018 in the Superior National\nForest, Minnesota, USA, including the Boundary Waters Canoe Area Wilderness. Over 50 years, adult annual survival was 78%. Wolves captured in wilderness tended to exhibit higher survival than those captured in nonwilderness, but the difference was more pronounced during harvest years and post-harvest years when wilderness wolf survival remained relatively high and non-wilderness wolf survival dropped (relative to pre-harvest). During Nov–Apr of pre-harvest years for adults, the natural mortality rate was similar for non-wilderness wolves and wilderness wolves (both 6%), but the anthropogenic mortality rate was higher for non-wilderness wolves than wilderness wolves (7% versus 1%), as was the illegal mortality rate (5% versus 1%). During Nov–Apr of preharvest years, wilderness wolves were less likely to die than non-wilderness wolves (p = 0.042; hazard ratio = 0.59), pups were more likely to die than adults (p = 0.002; hazard ratio = 1.84), and males were less likely to die than females (p = 0.053; hazard ratio = 0.73). Our long-term wolf survival, cause-specific mortality, and hazard results will inform management agencies whenever wolves are delisted, and jurisdiction for them passes to states.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109145","usgsCitation":"Barber-Meyer, S., Wheeldon, T., and Mech, L.D., 2021, The importance of wilderness to wolf <i>(Canis lupus)</i> survival and cause-specific mortality over 50 years: Biological Conservation, v. 258, 109145, 13 p., https://doi.org/10.1016/j.biocon.2021.109145.","productDescription":"109145, 13 p.","ipdsId":"IP-123720","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452234,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2021.109145","text":"Publisher Index Page"},{"id":436361,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KVM4IH","text":"USGS data release","linkHelpText":"Wolf survival and cause-specific mortality from 1968-2018 in the Superior National Forest. In"},{"id":385699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Minnesota","otherGeospatial":"Superior National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.790771484375,\n              47.51349065484327\n            ],\n            [\n              -89.5220947265625,\n              47.51349065484327\n            ],\n            [\n              -89.5220947265625,\n              48.356249029540734\n            ],\n            [\n              -91.790771484375,\n              48.356249029540734\n            ],\n            [\n              -91.790771484375,\n              47.51349065484327\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"258","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217941,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":815871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheeldon, Tyler","contributorId":251693,"corporation":false,"usgs":false,"family":"Wheeldon","given":"Tyler","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":815872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":815873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221223,"text":"70221223 - 2021 - Recovering individual-level spatial inference from aggregated binary data","interactions":[],"lastModifiedDate":"2023-06-23T13:23:33.186445","indexId":"70221223","displayToPublicDate":"2021-05-17T06:56:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Recovering individual-level spatial inference from aggregated binary data","docAbstract":"<p><span>Binary regression models are commonly used in disciplines such as epidemiology and ecology to determine how spatial covariates influence individuals. In many studies, binary data are shared in a spatially aggregated form to protect privacy. For example, rather than reporting the location and result for each individual that was tested for a disease, researchers may report that a disease was detected or not detected within geopolitical units. Often, the&nbsp;</span>spatial aggregation<span>&nbsp;process obscures the values of response variables, spatial covariates, and locations of each individual, which makes recovering individual-level inference difficult. We show that applying a series of transformations, including a change of support, to a&nbsp;bivariate&nbsp;point process model allows researchers to recover individual-level inference for spatial covariates from spatially aggregated binary data. The series of transformations preserves the convenient interpretation of desirable binary regression models that are commonly applied to individual-level data. Using a simulation experiment, we compare the performance of our proposed method under varying types of spatial aggregation against the performance of standard approaches using the original individual-level data. We illustrate our method by modeling individual-level probability of infection using a data set that has been aggregated to protect an at-risk and endangered species of bats. Our simulation experiment and data illustration demonstrate the utility of the proposed method when access to original non-aggregated data is impractical or prohibited.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2021.100514","usgsCitation":"Walker, N., Hefley, T.J., Ballmann, A., Russell, R., and Walsh, D.P., 2021, Recovering individual-level spatial inference from aggregated binary data: Spatial Statistics, v. 44, 100514, 14 p.; Data release, https://doi.org/10.1016/j.spasta.2021.100514.","productDescription":"100514, 14 p.; Data release","ipdsId":"IP-118748","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":452237,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://arxiv.org/abs/2004.12013","text":"Publisher Index Page"},{"id":386279,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418318,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XUPDIB","text":"USGS data release","description":"USGS data release","linkHelpText":"Pseudogymnoascus destructans detections by US county (2008-2012)"}],"country":"United  States","otherGeospatial":"Northeast and Midwest United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.20703125,\n              36.87962060502676\n            ],\n            [\n              -66.26953125,\n              36.87962060502676\n            ],\n            [\n              -66.26953125,\n              49.15296965617042\n            ],\n            [\n              -97.20703125,\n              49.15296965617042\n            ],\n            [\n              -97.20703125,\n              36.87962060502676\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walker, Nelson","contributorId":259320,"corporation":false,"usgs":false,"family":"Walker","given":"Nelson","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":817117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":817118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballmann, Anne 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":140319,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":817119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russell, Robin E. 0000-0001-8726-7303","orcid":"https://orcid.org/0000-0001-8726-7303","contributorId":219536,"corporation":false,"usgs":true,"family":"Russell","given":"Robin E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":817120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":817121,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220612,"text":"70220612 - 2021 - Oxygen isotopes in terrestrial gastropod shells track Quaternary climate change in the American Southwest","interactions":[],"lastModifiedDate":"2021-12-10T16:26:48.54244","indexId":"70220612","displayToPublicDate":"2021-05-17T06:49:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen isotopes in terrestrial gastropod shells track Quaternary climate change in the American Southwest","docAbstract":"<p><span>Recent studies have shown the oxygen isotopic composition (δ</span><span class=\"sup\">18</span><span>O) of modern terrestrial gastropod shells is determined largely by the δ</span><span class=\"sup\">18</span><span>O of precipitation. This implies that fossil shells could be used to reconstruct the δ</span><span class=\"sup\">18</span><span>O of paleo-precipitation as long as the isotopic system, including the hydrologic pathways of the local watershed and the gastropod systematics, is well understood. In this study, we measured the δ</span><span class=\"sup\">18</span><span>O values of 456 individual gastropod shells collected from paleowetland deposits in the San Pedro Valley, Arizona that range in age from ca. 29.1 to 9.8 ka. Isotopic differences of up to 2‰ were identified among the four taxa analyzed (Succineidae,&nbsp;</span><span class=\"italic\">Pupilla hebes</span><span>,&nbsp;</span><span class=\"italic\">Gastrocopta tappaniana</span><span>, and&nbsp;</span><span class=\"italic\">Vallonia gracilicosta</span><span>), with Succineidae shells yielding the highest values and&nbsp;</span><span class=\"italic\">V</span><span>.&nbsp;</span><span class=\"italic\">gracilicosta</span><span>&nbsp;shells exhibiting the lowest values. We used these data to construct a composite isotopic record that incorporates these taxonomic offsets, and found shell δ</span><span class=\"sup\">18</span><span>O values increased by ~4‰ between the last glacial maximum and early Holocene, which is similar to the magnitude, direction, and rate of isotopic change recorded by speleothems in the region. These results suggest the terrestrial gastropods analyzed here may be used as a proxy for past climate in a manner that is complementary to speleothems, but potentially with much greater spatial coverage.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2021.18","usgsCitation":"Rech, J.A., Pigati, J.S., Springer, K.B., Bosch, S., Nekola, J.C., and Yanes, Y., 2021, Oxygen isotopes in terrestrial gastropod shells track Quaternary climate change in the American Southwest: Quaternary Research, v. 104, p. 43-53, https://doi.org/10.1017/qua.2021.18.","productDescription":"11 p.","startPage":"43","endPage":"53","onlineOnly":"N","ipdsId":"IP-122769","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":436362,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EISWFZ","text":"USGS data release","linkHelpText":"Data release for Oxygen isotopes in terrestrial gastropod shells track Quaternary climate change in the American Southwest"},{"id":385834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Arizona, Colorado, Nevada, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.1904296875,\n              42.032974332441405\n            ],\n            [\n              -119.92675781249999,\n              39.16414104768742\n            ],\n            [\n              -114.9169921875,\n              35.35321610123823\n            ],\n            [\n              -114.9609375,\n              32.731840896865684\n            ],\n            [\n              -111.005859375,\n              31.240985378021307\n            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  }\n  ]\n}","volume":"104","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":816199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":816200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":816201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bosch, Stephanie","contributorId":258260,"corporation":false,"usgs":false,"family":"Bosch","given":"Stephanie","email":"","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":816202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":816203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":816204,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70229404,"text":"70229404 - 2021 - Moose habitat selection and fitness consequences during two critical winter tick life stages in Vermont, United States","interactions":[],"lastModifiedDate":"2022-03-07T12:54:30.254398","indexId":"70229404","displayToPublicDate":"2021-05-17T06:41:11","publicationYear":"2021","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":"Moose habitat selection and fitness consequences during two critical winter tick life stages in Vermont, United States","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">The moose (<i>Alces alces</i>) is a charismatic species in decline across much of their southern distribution in North America. In the northeastern United States, much of the reduction has been attributed to winter tick (<i>Dermacentor albipictus</i>) infestations. Winter ticks are fairly immobile throughout all life stages, and therefore their distribution patterns at any given time are shaped largely by the occurrence of moose across the landscape during the peak of two critical time periods: fall questing (when ticks latch onto moose) and spring drop-off (when engorged female ticks detach from moose). We used recent land cover and lidar data within a dynamic occupancy modeling framework to estimate first-order habitat selection (use vs. non-use) of female moose (<i>n</i><span>&nbsp;</span>= 74) during the tick questing and drop-off periods. Patch extinction and colonization rates between the fall questing and spring drop-off periods were strongly influenced by habitat and elevation, but these effects were diminished during the fall questing period when moose were more active across the landscape. From the fall questing period to the spring drop-off period, patches where colonization was high and extinction was low had higher proportions of young (shrub/forage) mixed forest at higher elevations. Further, we evaluated the fitness consequences of habitat selection by adult females during the fall questing period, when females and their calves acquire ticks. We compared Resource Selection Functions (RSF) for five females that successfully reared a calf to age 1 with five females whose calves perished due to ticks. Adult female moose whose offspring perished selected habitats in the fall that spatially coincided with areas of high occupancy probability during the spring tick drop-off period. In contrast, adult female moose whose offspring survived selected areas where the probability of occupancy during the spring drop-off was low; at present, natural selection may favor female adults who do not select the same habitats in fall as in spring. Our model coefficients and mapped results define “hotspots” that are likely encouraging the deleterious effects of the tick-moose cycle. These findings fill knowledge gaps about moose habitat selection that may improve the effectiveness of management aimed at reversing declining population trends.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.642276","usgsCitation":"Blouin, J., Debow, J., Rosenblatt, E., Hines, J.E., Alexander, C., Gieder, K., Fortin, N., Murdoch, J., and Donovan, T.M., 2021, Moose habitat selection and fitness consequences during two critical winter tick life stages in Vermont, United States: Frontiers in Ecology and Evolution, v. 9, 642276, 17 p., https://doi.org/10.3389/fevo.2021.642276.","productDescription":"642276, 17 p.","ipdsId":"IP-124909","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.642276","text":"Publisher Index Page"},{"id":396778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.24609375,\n              44.22945656830167\n            ],\n            [\n              -71.455078125,\n              44.22945656830167\n            ],\n            [\n              -71.455078125,\n              45.02695045318546\n            ],\n            [\n              -72.24609375,\n              45.02695045318546\n            ],\n            [\n              -72.24609375,\n              44.22945656830167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Blouin, Joshua","contributorId":276322,"corporation":false,"usgs":false,"family":"Blouin","given":"Joshua","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Debow, Jacob","contributorId":276321,"corporation":false,"usgs":false,"family":"Debow","given":"Jacob","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenblatt, Elias","contributorId":276324,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":837289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Cedric","contributorId":280058,"corporation":false,"usgs":false,"family":"Alexander","given":"Cedric","email":"","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gieder, Katherina","contributorId":288028,"corporation":false,"usgs":false,"family":"Gieder","given":"Katherina","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837291,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fortin, Nicholas","contributorId":288029,"corporation":false,"usgs":false,"family":"Fortin","given":"Nicholas","email":"","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":837292,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Murdoch, James","contributorId":276325,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":837293,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":837285,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70222934,"text":"70222934 - 2021 - A U.S.-China EcoPartnership study of disturbed wetland vegetation in West Dongting Lake, China","interactions":[],"lastModifiedDate":"2021-09-14T16:10:27.356423","indexId":"70222934","displayToPublicDate":"2021-05-16T09:15:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9138,"text":"Environmental Progress and Sustainable Energy","active":true,"publicationSubtype":{"id":10}},"title":"A U.S.-China EcoPartnership study of disturbed wetland vegetation in West Dongting Lake, China","docAbstract":"<p><span>West Dongting Lake in China is important for human livelihoods and habitat of migratory waterfowl and other wildlife. The waterway re-engineering and agriculture intensification have contributed to changes in hydrology, sediment, and vegetation on the floodplain. This paper describes an EcoPartnership program conducted by the U.S. Geological Survey, Wetland and Aquatic Research Center, and Beijing Forestry University. It focused on the development of a wetland ecosystem network in West Dongting Lake with technical support from the U.S. partner using a number of related studies to examine wetland vegetation dynamics from upstream to downstream along the tributaries. The results of U.S. studies showed that the regeneration potential of species might be altered by changes in climate and local environment, and seed bank depletion by germination may be a major conservation threat in a future with recurring droughts in swamps of the southeastern United States. In the monsoonal wetlands of West Dongting Lake, the soil seed bank could be used as a seed source for revegetation after hydrologic restoration with the introduction of certain foundational species and the removal of poplar plantations. Also, West Dongting Lake is at high ecological risk of mercury pollution. Wetland ecosystem monitoring may allow managers to use the information to predict effects of climate change, water level and flow changes on sedimentation, and to manage for desired vegetation to support waterfowl and ecosystem services. The cooperation of two countries through the EcoPartnership program is now well established and poised for extensive research projects in the future.</span></p>","language":"English","publisher":"American Institute of Chemical Engineers","doi":"10.1002/ep.13673","usgsCitation":"Lei, T., and Middleton, B., 2021, A U.S.-China EcoPartnership study of disturbed wetland vegetation in West Dongting Lake, China: Environmental Progress and Sustainable Energy, v. 40, no. 5, e13673, 6 p., https://doi.org/10.1002/ep.13673.","productDescription":"e13673, 6 p.","ipdsId":"IP-119570","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387811,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"West Dongting Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              111.93695068359375,\n              28.71829174815013\n            ],\n            [\n              112.33245849609375,\n              28.71829174815013\n            ],\n            [\n              112.33245849609375,\n              29.1281717828162\n            ],\n            [\n              111.93695068359375,\n              29.1281717828162\n            ],\n            [\n              111.93695068359375,\n              28.71829174815013\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lei, Ting","contributorId":245022,"corporation":false,"usgs":false,"family":"Lei","given":"Ting","affiliations":[{"id":40912,"text":"Beijing Forestry","active":true,"usgs":false}],"preferred":false,"id":820871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":820872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223143,"text":"70223143 - 2021 - Spring phenology drives range shifts in a migratory Arctic ungulate with key implications for the future","interactions":[],"lastModifiedDate":"2021-09-14T16:51:40.1867","indexId":"70223143","displayToPublicDate":"2021-05-16T07:48:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spring phenology drives range shifts in a migratory Arctic ungulate with key implications for the future","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Annual variation in phenology can have profound effects on the behavior of animals. As climate change advances spring phenology in ecosystems around the globe, it is becoming increasingly important to understand how animals respond to variation in the timing of seasonal events and how their responses may shift in the future. We investigated the influence of spring phenology on the behavior of migratory, barren-ground caribou (<i>Rangifer tarandus</i>), a species that has evolved to cope with short Arctic summers. Specifically, we examined the effect of spring snow melt and vegetation growth on the current and potential future space-use patterns of the Porcupine Caribou Herd (PCH), which exhibits large, inter-annual shifts in their calving and post-calving distributions across the U.S.–Canadian border. We quantified PCH selection for snow melt and vegetation phenology using machine learning models, determined how selection resulted in annual shifts in space-use, and then projected future distributions based on climate-driven phenology models. Caribou exhibited strong, scale-dependent selection for both snow melt and vegetation growth. During the calving season, caribou selected areas at finer scales where the snow had melted and vegetation was greening, but within broader landscapes that were still brown or snow covered. During the post-calving season, they selected vegetation with intermediate biomass expected to have high forage quality. Annual variation in spring phenology predicted major shifts in PCH space-use. In years with early spring phenology, PCH predominately used habitat in Alaska, while in years with late phenology, they spent more time in Yukon. Future climate conditions were projected to advance spring phenology, shifting PCH calving and post-calving distributions further west into Alaska. Our results demonstrate that caribou selection for habitat in specific phenological stages drive dramatic shifts in annual space-use patterns, and will likely affect future distributions, underscoring the importance of maintaining sufficient suitable habitat to allow for behavioral plasticity.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15682","usgsCitation":"Severson, J.P., Johnson, H.E., Arthur, S.M., Leacock, W., and Suitor, M.J., 2021, Spring phenology drives range shifts in a migratory Arctic ungulate with key implications for the future: Global Change Biology, v. 27, no. 19, p. 4546-4563, https://doi.org/10.1111/gcb.15682.","productDescription":"18 p.","startPage":"4546","endPage":"4563","ipdsId":"IP-127583","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":452243,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.15682","text":"External Repository"},{"id":436363,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TTRPAC","text":"USGS data release","linkHelpText":"Predicted Calving and Post-calving Season Resource Use of the Porcupine Caribou Herd During 2012-2018 With Future Projections for the 2030s, 2040s, and 2050s"},{"id":387896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -144.0087890625,\n              68.79209388053664\n            ],\n            [\n              -138.076171875,\n              68.79209388053664\n            ],\n            [\n              -138.076171875,\n              70.57611174177543\n            ],\n            [\n              -144.0087890625,\n              70.57611174177543\n            ],\n            [\n              -144.0087890625,\n              68.79209388053664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"19","noUsgsAuthors":false,"publicationDate":"2021-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Severson, John P. 0000-0002-1754-6689","orcid":"https://orcid.org/0000-0002-1754-6689","contributorId":213469,"corporation":false,"usgs":true,"family":"Severson","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":821103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":821104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthur, Stephen M.","contributorId":189438,"corporation":false,"usgs":false,"family":"Arthur","given":"Stephen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":821105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leacock, William","contributorId":192123,"corporation":false,"usgs":false,"family":"Leacock","given":"William","affiliations":[],"preferred":false,"id":821106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Suitor, Michael J.","contributorId":264206,"corporation":false,"usgs":false,"family":"Suitor","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":821107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70259396,"text":"70259396 - 2021 - Repeating earthquakes during multiple phases of unrest and eruption at Mount Agung, Bali, Indonesia, 2017","interactions":[],"lastModifiedDate":"2024-10-07T12:23:05.595645","indexId":"70259396","displayToPublicDate":"2021-05-16T07:20:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18735,"text":"Frontiers in Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Repeating earthquakes during multiple phases of unrest and eruption at Mount Agung, Bali, Indonesia, 2017","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">In 2017, Mount Agung produced a small (VEI 2) eruption that was preceded by an energetic volcano-tectonic (VT) swarm (&gt;800 earthquakes per day up to M4.9) and two months of declining activity. The period of decreased seismic activity complicated forecasting efforts for scientists monitoring the volcano. We examine the time history of earthquake families at Mount Agung in search of additional insight into the temporal changes in the shallow crust prior to eruption. Specifically, we analyze the period of declining seismic activity about five weeks prior to the eruption when forecasting uncertainty was greatest. We use REDPy (Hotovec-Ellis and Jeffries, 2016) to build a catalog of 6,508 earthquakes from 18 October 2017–15 February 2018 and group them into families of repeating earthquakes based on waveform similarity using a cross-correlation coefficient threshold of 0.8. We show that the evolution of earthquake families provides evidence that Mount Agung was progressing toward eruption even though overall earthquake rates and seismic-energy-release declined. We find that earthquake families that dominated seismicity during the beginning of the crisis ceased near the onset of tremor on 12 November 2017. Then, earthquake families took on characteristics commonly observed during effusive phases of eruptions on 15 November—a full six days before the first phreatomagmatic eruption on 21 November 2017 and a full ten days before the actual onset of lava effusion on 25 November 2017. We interpret the transitions in seismicity as the manifestation of a three-phase physical model including an Intrusion Phase, a Transition Phase, and a Eruptive Phase. During the Intrusion Phase, seismicity was dominated by VT earthquakes with a relatively high percentage of repeaters (59%) grouped into numerous (65) simultaneous families. During the Eruptive Phase, seismicity included both VT and low frequency earthquakes that grouped into relatively long-lived families despite a low overall percentage of repeaters (14%). The Transition Phase exhibited characteristics of earthquake families between the Intrusion Phase and Eruptive Phase. We conclude that the time history of earthquake families provides insight into the evolution of the stress distribution in the volcanic edifice, the development of the volcanic conduit, and seismogenesis of magma effusion. Finally, we discuss the role that repeating earthquakes could play in real-time monitoring at restless volcanoes. Our work suggests eruption forecasts can be improved by incorporating automatic processing codes to assist seismologists during sustained periods of high earthquake rates, even at sparsely monitored volcanoes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2021.653164","usgsCitation":"Wellik, J., Prejean, S., and Syahbana, D.K., 2021, Repeating earthquakes during multiple phases of unrest and eruption at Mount Agung, Bali, Indonesia, 2017: Frontiers in Volcanology, v. 9, 653164, 11 p., https://doi.org/10.3389/feart.2021.653164.","productDescription":"653164, 11 p.","ipdsId":"IP-126621","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.653164","text":"Publisher Index Page"},{"id":462660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Bali, Mount Agung","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              113.79164923802762,\n              -7.308781448779953\n            ],\n            [\n              113.79164923802762,\n              -9.308941309600499\n            ],\n            [\n              116.32949103490353,\n              -9.308941309600499\n            ],\n            [\n              116.32949103490353,\n              -7.308781448779953\n            ],\n            [\n              113.79164923802762,\n              -7.308781448779953\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wellik, John 0000-0002-8099-5794","orcid":"https://orcid.org/0000-0002-8099-5794","contributorId":204753,"corporation":false,"usgs":true,"family":"Wellik","given":"John","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prejean, Stephanie G. 0000-0003-0510-1989 sprejean@usgs.gov","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":172404,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":915150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syahbana, Devy K.","contributorId":194994,"corporation":false,"usgs":false,"family":"Syahbana","given":"Devy","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":915151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222409,"text":"70222409 - 2021 - Calcium concentrations in the lower Columbia River, USA, are generally sufficient to support invasive bivalve spread","interactions":[],"lastModifiedDate":"2021-07-27T11:49:09.678999","indexId":"70222409","displayToPublicDate":"2021-05-16T06:45:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Calcium concentrations in the lower Columbia River, USA, are generally sufficient to support invasive bivalve spread","docAbstract":"<p><span>Dissolved calcium concentration [Ca</span><sup>2+</sup><span>] is thought to be a major factor limiting the establishment and thus the spread of invasive bivalves such as zebra (</span><i>Dreissena polymorpha</i><span>) and quagga (</span><i>Dreissena bugensis</i><span>) mussels. We measured [Ca</span><sup>2+</sup><span>] in 168 water samples collected along ~100 river-km of the lower Columbia River, USA, between June 2018 and March 2020. We found [Ca</span><sup>2+</sup><span>] to range from 13 to 18 mg L</span><sup>−1</sup><span>&nbsp;during summer/fall and 5 to 22 mg L</span><sup>−1</sup><span>&nbsp;during the winter/spring. Previous research indicates that [Ca</span><sup>2+</sup><span>] &lt; 12 mg L</span><sup>−1</sup><span>&nbsp;are likely to limit the establishment and spread of invasive bivalves. Thus, our results indicate that there is sufficient Ca</span><sup>2+</sup><span>&nbsp;in most locations in the lower Columbia River to support the establishment of invasive dreissenid mussels, which could join the already widespread and abundant Asian clam (</span><i>Corbicula fluminea</i><span>) as the newest invader to an already heavily invaded Columbia River ecosystem. These new data provide important measurements from a heretofore undersampled region of the Columbia River and have important implications for the spread of invasive bivalves and, by extension, the conservation and management of native species and ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.3804","usgsCitation":"Bollens, S.M., Harrison, J., Kramer, M.G., Rollwagen-Bollens, G., Counihan, T., Robb-Chavez, S.B., and Nolan, S.T., 2021, Calcium concentrations in the lower Columbia River, USA, are generally sufficient to support invasive bivalve spread: River Research and Applications, v. 37, no. 6, p. 889-894, https://doi.org/10.1002/rra.3804.","productDescription":"6 p.","startPage":"889","endPage":"894","ipdsId":"IP-126009","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":387455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Washington, Oregon","otherGeospatial":"southern Columbia  River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.96972656249999,\n              45.336701909968134\n            ],\n            [\n              -117.8173828125,\n              45.336701909968134\n            ],\n            [\n              -117.8173828125,\n              46.9502622421856\n            ],\n            [\n              -123.96972656249999,\n              46.9502622421856\n            ],\n            [\n              -123.96972656249999,\n              45.336701909968134\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"37","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bollens, Stephen M. 0000-0001-9214-9037","orcid":"https://orcid.org/0000-0001-9214-9037","contributorId":148958,"corporation":false,"usgs":false,"family":"Bollens","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":819945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harrison, John A.","contributorId":261389,"corporation":false,"usgs":false,"family":"Harrison","given":"John A.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":819946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kramer, Marc G.","contributorId":261390,"corporation":false,"usgs":false,"family":"Kramer","given":"Marc","email":"","middleInitial":"G.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":819947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rollwagen-Bollens, Gretchen","contributorId":190162,"corporation":false,"usgs":false,"family":"Rollwagen-Bollens","given":"Gretchen","email":"","affiliations":[],"preferred":false,"id":819948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":819949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robb-Chavez, Salvador B.","contributorId":261391,"corporation":false,"usgs":false,"family":"Robb-Chavez","given":"Salvador","email":"","middleInitial":"B.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":819950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nolan, Sean T.","contributorId":261392,"corporation":false,"usgs":false,"family":"Nolan","given":"Sean","email":"","middleInitial":"T.","affiliations":[{"id":52831,"text":"Washington State University - Vancouver, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":819951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70227731,"text":"70227731 - 2021 - The effect of group size on reproduction in cooperatively breeding gray wolves depends on density","interactions":[],"lastModifiedDate":"2022-01-27T12:42:29.807496","indexId":"70227731","displayToPublicDate":"2021-05-16T06:39:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The effect of group size on reproduction in cooperatively breeding gray wolves depends on density","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>In cooperatively breeding species, large group size is often positively related to reproductive success and group persistence. We have a poor understanding, however, of how group sizes within a population affect reproduction particularly as density varies. We hypothesized that at low densities, wolves in both small and large groups would have similar reproductive rates. At high densities, however, wolves in small groups would have lower reproductive rates compared to those in large groups. Using empirical data from radio-collared wolves in Idaho and Yellowstone National Park, WY, USA (1996–2012), we compared reproductive rates (i.e. proportion reproducing, litter size, pup survival) among small and large groups of wolves as density fluctuated within the populations. Reproductive rates were generally lower for individuals in small groups compared to those in large groups, particularly as density increased. Pup survival, however, was slightly higher for wolves in small groups compared to large groups except at very high densities. Polygamy increased with density regardless of group size, suggesting a polygamy threshold for wolves. Large group size resulted in less parturition failure, more breeding females per group, larger litter sizes, and ultimately more pups recruited per group. Large group size appears advantageous for several, but not all, aspects of reproduction particularly when population density is high.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/acv.12701","usgsCitation":"Ausband, D., and Mitchell, M.S., 2021, The effect of group size on reproduction in cooperatively breeding gray wolves depends on density: Animal Conservation, v. 24, no. 6, p. 994-1000, https://doi.org/10.1111/acv.12701.","productDescription":"7 p.","startPage":"994","endPage":"1000","ipdsId":"IP-077090","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":394961,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ausband, D.E.","contributorId":83752,"corporation":false,"usgs":true,"family":"Ausband","given":"D.E.","affiliations":[],"preferred":false,"id":831945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831944,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220546,"text":"70220546 - 2021 - Research to inform Caltrans best management practices for reptile and amphibian road crossings","interactions":[],"lastModifiedDate":"2021-05-20T21:39:24.256332","indexId":"70220546","displayToPublicDate":"2021-05-15T08:55:14","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Research to inform Caltrans best management practices for reptile and amphibian road crossings","docAbstract":"In October of 2014, the U.S. Geological Survey (USGS) began a 5-year project to conduct research to inform Best Management Practices (BMPs) for amphibian and reptile crossing and barrier systems in California.  To inform future conservation and transportation planning, this project involved identification of species at highest risk of negative road impacts, creation of geodatabase and spatial mapping tools that crosswalk with California Essential Habitat Connectivity Planning, and field research to address information gaps in the efficacy of reptile and amphibian passage and barrier systems.\nPer the agreement with California Department of Transportation (Caltrans; agreement 65A0553), this project was part of a broader collaborative effort between the Western Transportation Institute (WTI) of Montana State University and USGS Western Ecological Research Center (WERC).  As part of this broader project, WTI conducted a worldwide literature review and gap analysis and produced the BMP manual for herpetofauna in California.  WTI and USGS were contracted separately although we worked closely together throughout this broader effort and  each brought particular expertise to the project.  WTI has expertise in highways, the attributes of the highway environment, and has broad international experience with road ecology and herpetofauna connectivity systems worldwide.  USGS WERC has expertise with California amphibian and reptile species and their ecology, study design and implementation, as well as expertise in landscape connectivity and road ecology.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Brehme, C.S., Fisher, R., Langton, T.E., Clevenger, A.P., Adelsheim, E., Barnes, S., Edgarian, T., Ewing, B., Hathaway, S.A., Hobbs, M., Kingston, J., Launer, A., Matsuda, T.A., Sebes, J.B., Vaughn, C., and Watson, E., 2021, Research to inform Caltrans best management practices for reptile and amphibian road crossings: Cooperator Report, viii, 144 p.","productDescription":"viii, 144 p.","ipdsId":"IP-122877","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":385774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385736,"type":{"id":15,"text":"Index 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,{"id":70222395,"text":"70222395 - 2021 - Broad-scale surface and atmospheric conditions during large fires in south-central Chile","interactions":[],"lastModifiedDate":"2021-07-28T11:49:43.811753","indexId":"70222395","displayToPublicDate":"2021-05-15T07:16:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Broad-scale surface and atmospheric conditions during large fires in south-central Chile","docAbstract":"<p><span>The unprecedented size of the 2017 wildfires that burned nearly 600,000 hectares of central Chile highlight a need to better understand the climatic conditions under which large fires develop. Here we evaluate synoptic atmospheric conditions at the surface and free troposphere associated with anomalously high (active) versus low (inactive) months of area burned in south-central Chile (ca. 32–41° S) from the Chilean Forest Service (CONAF) record of area burned from 1984–2018. Active fire months are correlated with warm surface temperatures, dry conditions, and the presence of a circumpolar assemblage of high-pressure systems located ca. 40°–60° S. Additionally, warm surface temperatures associated with active fire months are linked to reduced strength of cool, onshore westerly winds and an increase in warm, downslope Andean Cordillera easterly winds. Episodic warm downslope winds and easterly wind anomalies superimposed on long-term warming and drying trends will continue to create conditions that promote large fires in south-central Chile. Identifying the mechanisms responsible for easterly wind anomalies and determining whether this trend is strengthening due to synoptic-scale climatic changes such as the poleward shift in Southern Hemisphere westerly winds will be critical for anticipating future large fire activity in south-central Chile.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/fire4020028","usgsCitation":"McWethy, D.B., Garreaud, R., Holz, A., and Pederson, G.T., 2021, Broad-scale surface and atmospheric conditions during large fires in south-central Chile: Fire, v. 4, no. 2, 28, 18 p., https://doi.org/10.3390/fire4020028.","productDescription":"28, 18 p.","ipdsId":"IP-118749","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire4020028","text":"Publisher Index Page"},{"id":387461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.47656249999999,\n              -38.13455657705412\n            ],\n            [\n              -75.234375,\n              -47.5172006978394\n            ],\n            [\n              -72.421875,\n              -53.2257684357902\n            ],\n            [\n              -71.54296874999999,\n              -46.195042108660154\n            ],\n            [\n              -71.71875,\n              -39.368279149160124\n            ],\n            [\n              -73.47656249999999,\n              -38.13455657705412\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McWethy, David B.","contributorId":207232,"corporation":false,"usgs":false,"family":"McWethy","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":819925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garreaud, Rene 0000-0002-7875-2443","orcid":"https://orcid.org/0000-0002-7875-2443","contributorId":261363,"corporation":false,"usgs":false,"family":"Garreaud","given":"Rene","email":"","affiliations":[{"id":37346,"text":"Universidad de Chile","active":true,"usgs":false}],"preferred":false,"id":819926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holz, Andres 0000-0002-8587-2603","orcid":"https://orcid.org/0000-0002-8587-2603","contributorId":261366,"corporation":false,"usgs":false,"family":"Holz","given":"Andres","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":819927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":819928,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70223781,"text":"70223781 - 2021 - Surface water with more natural temperatures promotes physiological and endocrine changes in landlocked Atlantic salmon smolts","interactions":[],"lastModifiedDate":"2021-09-08T20:28:54.694355","indexId":"70223781","displayToPublicDate":"2021-05-14T15:03:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Surface water with more natural temperatures promotes physiological and endocrine changes in landlocked Atlantic salmon smolts","docAbstract":"<p><span>Hatchery salmonid smolts are often reared using groundwater with elevated temperatures to maximize growth. Previous work has shown that rearing hatchery smolts in surface water with a more natural thermal regime resulted in increased return rates of adult landlocked Atlantic salmon (</span><i>Salmo salar</i><span>). We evaluated whether landlocked Atlantic salmon reared in surface water with a natural temperature regime have altered physiological smolt characteristics compared with fish reared in groundwater with elevated winter temperatures. Hatchery fish were sampled three consecutive years from January to May. Additional fish were released as smolts, recaptured, and compared with fry-stocked smolts. Surface water smolts had earlier peaks of plasma T</span><sub>4</sub><span>, lower T</span><sub>3</sub><span>&nbsp;levels, later peak cortisol, and lower gill Na</span><sup>+</sup><span>/K</span><sup>+</sup><span>-ATPase activity as compared with groundwater smolts. After release and recapture, surface water fish had elevated plasma T</span><sub>4</sub><span>&nbsp;and gill Na</span><sup>+</sup><span>/K</span><sup>+</sup><span>-ATPase activity compared with groundwater fish, but less than stream-reared fish. Elevated plasma T</span><sub>4</sub><span>&nbsp;in surface water fish in the hatchery and after release may have promoted imprinting and other aspects of smolt development, contributing to the higher adult return rates of a cohort reared in surface water.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0295","usgsCitation":"Regish, A.M., Ardren, W.R., Staats, N.R., Bouchard, H., Withers, J.L., Castro-Santos, T.R., and McCormick, S.D., 2021, Surface water with more natural temperatures promotes physiological and endocrine changes in landlocked Atlantic salmon smolts: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 6, p. 775-786, https://doi.org/10.1139/cjfas-2020-0295.","productDescription":"12 p.","startPage":"775","endPage":"786","ipdsId":"IP-122416","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":388973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","city":"Newark, Pittsford","otherGeospatial":"Vermont Department of Fish and Wildlife Bald Hill Fish Culture Station","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.9937515258789,\n              44.67158278684375\n            ],\n            [\n              -71.87255859375,\n              44.67158278684375\n            ],\n            [\n              -71.87255859375,\n              44.746245565030684\n            ],\n            [\n              -71.9937515258789,\n              44.746245565030684\n            ],\n            [\n              -71.9937515258789,\n              44.67158278684375\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.06062698364258,\n              43.70256765579351\n            ],\n            [\n              -72.99985885620117,\n              43.70256765579351\n            ],\n            [\n              -72.99985885620117,\n              43.72682433969664\n            ],\n            [\n              -73.06062698364258,\n              43.72682433969664\n            ],\n            [\n              -73.06062698364258,\n              43.70256765579351\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":822780,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Greenberg, Larry","contributorId":265472,"corporation":false,"usgs":false,"family":"Greenberg","given":"Larry","email":"","affiliations":[],"preferred":false,"id":822781,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ardren, William R.","contributorId":184180,"corporation":false,"usgs":false,"family":"Ardren","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":822660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staats, Nicholas R","contributorId":265362,"corporation":false,"usgs":false,"family":"Staats","given":"Nicholas","email":"","middleInitial":"R","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":822661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouchard, Henry","contributorId":265365,"corporation":false,"usgs":false,"family":"Bouchard","given":"Henry","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":822662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Withers, Jonah L.","contributorId":265471,"corporation":false,"usgs":false,"family":"Withers","given":"Jonah","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":822779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822664,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":822665,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220496,"text":"70220496 - 2021 - Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios — United States, April–September 2021","interactions":[],"lastModifiedDate":"2021-05-17T15:55:08.190065","indexId":"70220496","displayToPublicDate":"2021-05-14T11:54:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8598,"text":"Morbidity and Mortality Weekly Report","active":true,"publicationSubtype":{"id":10}},"title":"Modeling of future COVID-19 cases, hospitalizations, and deaths, by vaccination rates and nonpharmaceutical intervention scenarios — United States, April–September 2021","docAbstract":"<p><strong>What is already known about this topic?</strong></p><p>Increases in COVID-19 cases in March and early April occurred despite a large-scale vaccination program. Increases coincided with the spread of SARS-CoV-2 variants and relaxation of nonpharmaceutical interventions (NPIs).</p><p><strong>What is added by this report?</strong></p><p>Data from six models indicate that with high vaccination coverage and moderate NPI adherence, hospitalizations and deaths will likely remain low nationally, with a sharp decline in cases projected by July 2021. Lower NPI adherence could lead to substantial increases in severe COVID-19 outcomes, even with improved vaccination coverage.</p><p><strong>What are the implications for public health practice?</strong></p><p>High vaccination coverage and compliance with NPIs are essential to control COVID-19 and prevent surges in hospitalizations and deaths in the coming months.</p>","language":"English","publisher":"Centers for Disease Control and Prevention","doi":"10.15585/mmwr.mm7019e3","usgsCitation":"Borchering, R.K., Viboud, C., Howerton, E., Smith, C.P., Truelove, S., Runge, M.C., Reich, N.G., Contamin, L., Levander, J., Salerno, J., van Panhuis, W., Kinsey, M., Tallaksen, K., Obrecht, R.F., Asher, L., Costello, C., Kelbaugh, M., Wilson, S., Shin, L., Gallagher, M., Mullany, L., Rainwater-Lovett, K., Lemaitre, J., Dent, J., Grantz, K., Kaminsky, J., Lauer, S., Lee, E., Meredith, H., Perez-Saez, J., Keegan, L.T., Karlen, D., Chinazzi, M., Davis, J., Mu, K., Xiong, X., Pastore y Piontti, A., 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Prevention","active":true,"usgs":false}],"preferred":false,"id":815828,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Biggerstaff, Matthew","contributorId":258040,"corporation":false,"usgs":false,"family":"Biggerstaff","given":"Matthew","email":"","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":815829,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Johansson, Michael A","contributorId":258041,"corporation":false,"usgs":false,"family":"Johansson","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":815830,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Shea, Katriona","contributorId":8783,"corporation":false,"usgs":true,"family":"Shea","given":"Katriona","affiliations":[],"preferred":false,"id":815831,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Lessler, Justin","contributorId":258042,"corporation":false,"usgs":false,"family":"Lessler","given":"Justin","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":815832,"contributorType":{"id":1,"text":"Authors"},"rank":60}]}}
,{"id":70228936,"text":"70228936 - 2021 - Effects of elk and bison herbivory on narrowleaf cottonwood","interactions":[],"lastModifiedDate":"2022-02-24T16:30:26.288537","indexId":"70228936","displayToPublicDate":"2021-05-14T10:28:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Effects of elk and bison herbivory on narrowleaf cottonwood","docAbstract":"<p><span>Ungulate browsing influences the structure and composition of woody plant communities, including species composition and biomass production as well as age distribution, recruitment, and mortality. We evaluated effects of elk and bison herbivory on narrowleaf cottonwood (</span><i>Populus angustifolia</i><span>) communities in a semiarid ecosystem in southern Colorado. Cottonwoods in this ecosystem have been aged at ≥300 years old and are among the oldest cottonwood trees in North America. We compared browsing intensity and structural and productivity responses of cottonwood to ungulate herbivory. We compared responses in sites with elk and bison, sites with elk but no bison, and sites where both ungulates were excluded. We found that the majority of browsing on cottonwood occurred during summer in this high desert ecosystem. Areas with both elk and bison had higher browse utilization than areas with only elk, but diet data indicated that elk consumed a much greater proportion of cottonwood than bison. Overall, browse utilization observed in this study was low to moderate compared to other studies, and our results may not be representative of sites experiencing intense year-round herbivory. Removal of all ungulate herbivory led to taller and denser cottonwood suckers; however, other environmental factors, in addition to herbivory, still strongly limit cottonwood growth and recruitment in this ecosystem.</span></p>","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.081.0109","usgsCitation":"Zeigenfuss, L.C., and Schoenecker, K., 2021, Effects of elk and bison herbivory on narrowleaf cottonwood: Western North American Naturalist, v. 81, no. 1, p. 97-112, https://doi.org/10.3398/064.081.0109.","productDescription":"16 p.","startPage":"97","endPage":"112","ipdsId":"IP-080677","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Great Sand Dunes ecosystem of the San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.80795288085936,\n              37.615319243559085\n            ],\n            [\n              -105.40557861328125,\n              37.615319243559085\n            ],\n            [\n              -105.40557861328125,\n              37.996162679728116\n            ],\n            [\n              -105.80795288085936,\n              37.996162679728116\n            ],\n            [\n              -105.80795288085936,\n              37.615319243559085\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"81","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zeigenfuss, Linda C.","contributorId":280062,"corporation":false,"usgs":false,"family":"Zeigenfuss","given":"Linda","email":"","middleInitial":"C.","affiliations":[{"id":57415,"text":"LZ Ecology","active":true,"usgs":false}],"preferred":false,"id":835965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835966,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220663,"text":"70220663 - 2021 - Tectonostratigraphic record of late Miocene–early Pliocene transtensional faulting in the Eastern California shear zone, southwestern USA","interactions":[],"lastModifiedDate":"2021-08-03T16:14:26.440735","indexId":"70220663","displayToPublicDate":"2021-05-14T08:31:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Tectonostratigraphic record of late Miocene–early Pliocene transtensional faulting in the Eastern California shear zone, southwestern USA","docAbstract":"<p><span>The Eastern California shear zone (ECSZ; southwestern USA) accommodates ~20%–25% of Pacific–North America relative plate motion east of the San Andreas fault, yet little is known about its early tectonic evolution. This paper presents a detailed stratigraphic and structural analysis of the uppermost Miocene to lower Pliocene Bouse Formation in the southern Blythe Basin, lower Colorado River valley, where gently dipping and faulted strata provide a record of deformation in the paleo-ECSZ. In the western Trigo Mountains, splaying strands of the Lost Trigo fault zone include a west-dipping normal fault that cuts the Bouse Formation and a steeply NE-dipping oblique dextral-normal fault where an anomalously thick (~140 m) section of Bouse Formation siliciclastic deposits filled a local fault-controlled depocenter. Systematic basinward thickening and stratal wedge geometries in the western Trigo and southeastern Palo Verde Mountains, on opposite sides of the Colorado River valley, record basinward tilting during deposition of the Bouse Formation. We conclude that the southern Blythe Basin formed as a broad transtensional sag basin in a diffuse releasing stepover between the dextral Laguna fault system in the south and the Cibola and Big Maria fault zones in the north. A palinspastic reconstruction at 5 Ma shows that the southern Blythe Basin was part of a diffuse regional network of linked right-step­ping dextral, normal, and oblique-slip faults related to Pacific–North America plate boundary dextral shear. Diffuse transtensional strain linked northward to the Stateline fault system, eastern Garlock fault, and Walker Lane, and southward to the Gulf of California shear zone, which initiated ca. 7–9 Ma, implying a similar age of inception for the paleo-ECSZ.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02337.1","usgsCitation":"Dorsey, R.J., O’Connell, B., Gardner, K., Homan, M.B., Bennett, S.E., Thacker, J., and Darin, M.H., 2021, Tectonostratigraphic record of late Miocene–early Pliocene transtensional faulting in the Eastern California shear zone, southwestern USA: Geosphere, v. 17, no. 4, p. 1101-1125, https://doi.org/10.1130/GES02337.1.","productDescription":"25 p.","startPage":"1101","endPage":"1125","ipdsId":"IP-121877","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":452255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02337.1","text":"Publisher Index Page"},{"id":385895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern California shear zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.72998046875,\n              34.13908837343849\n            ],\n            [\n              -117.14172363281251,\n              35.764343479667176\n            ],\n            [\n              -118.5809326171875,\n              35.27253175660236\n            ],\n            [\n              -116.26831054687501,\n              34.18454183141725\n            ],\n            [\n              -115.72998046875,\n              34.13908837343849\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":816347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Brennan","contributorId":200336,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","email":"","affiliations":[],"preferred":false,"id":816348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Kevin 0000-0001-8018-4353","orcid":"https://orcid.org/0000-0001-8018-4353","contributorId":258281,"corporation":false,"usgs":false,"family":"Gardner","given":"Kevin","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":816349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Mindy B.","contributorId":200337,"corporation":false,"usgs":false,"family":"Homan","given":"Mindy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":816350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":816351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thacker, Jacob 0000-0001-7174-6115 jthacker@usgs.gov","orcid":"https://orcid.org/0000-0001-7174-6115","contributorId":187771,"corporation":false,"usgs":false,"family":"Thacker","given":"Jacob","email":"jthacker@usgs.gov","affiliations":[],"preferred":false,"id":816352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Darin, Michael H.","contributorId":200333,"corporation":false,"usgs":false,"family":"Darin","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":816353,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220664,"text":"70220664 - 2021 - Expansion of intertidal mussel beds following disease-driven reduction of a keystone predator","interactions":[],"lastModifiedDate":"2021-05-24T13:24:03.077478","indexId":"70220664","displayToPublicDate":"2021-05-14T08:20:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2664,"text":"Marine Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of intertidal mussel beds following disease-driven reduction of a keystone predator","docAbstract":"<p>Disease shapes community composition by removing species with strong interactions. To test whether the absence of keystone predation due to disease produced changes to the species composition of rocky intertidal communities, we leverage a natural experiment involving mass mortality of the keystone predator Pisaster ochraceus from Sea Star Wasting Syndrome. Over four years, we measured dimensions of mussel beds, sizes of Mytilus californianus, mussel recruitment, and species composition on vertical rock walls at six rocky intertidal sites on the central California coast. We also assessed the relationship between changes in mussel cover and changes in sea star density across 33 sites along the North American Pacific coast using data from long-term monitoring. After four years, the lower boundary of the central California mussel beds shifted downward toward the water 18.7 ± 15.8 cm (SD) on the rock and 11.7 ± 11.0 cm in elevation, while the upper boundary remained unchanged. In central California, downward expansion and total area of the mussel bed were positively correlated with mussel recruitment but were not correlated with pre-disease sea star density or biomass. At a multi-region scale, changes in mussel percent cover were positively correlated with pre-disease sea star densities but not change in densities. Species composition of primary substrate holders and epibionts below the mussel bed remained similar across years. Extirpation of the community below the bed did not occur. Instead, this community became limited to a smaller spatial extent while the mussel bed expanded.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marenvres.2021.105363","usgsCitation":"Moritsch, M.M., 2021, Expansion of intertidal mussel beds following disease-driven reduction of a keystone predator: Marine Environmental Research, v. 169, 105363, 10 p., https://doi.org/10.1016/j.marenvres.2021.105363.","productDescription":"105363, 10 p.","ipdsId":"IP-126316","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":452258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marenvres.2021.105363","text":"Publisher Index Page"},{"id":385892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"California, Oregon","otherGeospatial":"British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -129.990234375,\n              50.064191736659104\n            ],\n            [\n              -125.33203125,\n              47.754097979680026\n            ],\n            [\n              -120.76171875,\n              49.095452162534826\n            ],\n            [\n              -128.232421875,\n              55.677584411089526\n            ],\n            [\n              -134.912109375,\n              55.27911529201561\n            ],\n            [\n              -129.990234375,\n              50.064191736659104\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.15625000000001,\n              42.09822241118974\n            ],\n            [\n              -123.31054687499999,\n              42.09822241118974\n            ],\n            [\n              -123.31054687499999,\n              46.49839225859763\n            ],\n            [\n              -125.15625000000001,\n              46.49839225859763\n            ],\n            [\n              -125.15625000000001,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.3984375,\n              41.83682786072714\n            ],\n            [\n              -125.15625000000001,\n              41.83682786072714\n            ],\n            [\n              -125.5078125,\n              39.977120098439634\n            ],\n            [\n              -122.87109375,\n              35.67514743608467\n            ],\n            [\n              -118.65234374999999,\n              32.32427558887655\n            ],\n            [\n              -116.27929687499999,\n              32.39851580247402\n            ],\n            [\n              -116.71874999999999,\n              34.08906131584994\n            ],\n            [\n              -121.9921875,\n              37.78808138412046\n            ],\n            [\n              -123.3984375,\n              41.83682786072714\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"169","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moritsch, Monica Mei Jeen 0000-0002-3890-1264","orcid":"https://orcid.org/0000-0002-3890-1264","contributorId":225210,"corporation":false,"usgs":true,"family":"Moritsch","given":"Monica","email":"","middleInitial":"Mei Jeen","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":816354,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70220504,"text":"70220504 - 2021 - Emerging dominance of Paratrochammina simplissima (Cushman and McCulloch) in the northern Gulf of Mexico following hydrologic and geomorphic changes","interactions":[],"lastModifiedDate":"2025-05-13T16:07:15.741437","indexId":"70220504","displayToPublicDate":"2021-05-14T07:25:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8601,"text":"Estuarine, Coastal, and Shelf Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Emerging dominance of <i>Paratrochammina simplissima</i> (Cushman and McCulloch) in the northern Gulf of Mexico following hydrologic and geomorphic changes","title":"Emerging dominance of Paratrochammina simplissima (Cushman and McCulloch) in the northern Gulf of Mexico following hydrologic and geomorphic changes","docAbstract":"<p><span>Grand Bay&nbsp;estuary&nbsp;in coastal Mississippi and Alabama (USA) has undergone significant&nbsp;geomorphic changes&nbsp;over the last few centuries as a result of anthropogenic (bridge, road, and hardened&nbsp;shoreline&nbsp;construction) and climatic (extreme storm events) processes, which reduce&nbsp;freshwater input, sediment supply, and degrade barrier islands. To investigate how geomorphic changes may have altered the Grand Bay estuary, sediment push cores were collected for foraminiferal, sedimentological (organic matter content, grain-size distribution), and radiochemical (</span><sup>210</sup><span>Pb,</span><sup>137</sup><span>Cs, and&nbsp;</span><sup>7</sup><span>Be) analyses. Clay normalized&nbsp;geochronologies&nbsp;were determined with a constant rate of supply model. Based on downcore age-depth relationships, select intervals were analyzed for&nbsp;foraminifera&nbsp;in order to assess alterations in the&nbsp;microfossil&nbsp;assemblage in Grand Bay estuary over the 20th Century. All estuarine samples were low diversity (species richness: 1–10; Fisher's alpha diversity: 0.14–1.75); two species,&nbsp;</span><i>Ammotium salsum</i><span>&nbsp;and&nbsp;</span><i>Paratrochammina simplissima,</i><span>&nbsp;dominated all downcore assemblages.&nbsp;</span><i>Paratrochammina simplissima</i><span>&nbsp;increased in abundance up-core from a minor subsidiary species (median&nbsp;=&nbsp;4.7% at 19–20&nbsp;cm) to dominant or co-dominant with&nbsp;</span><i>A. salsum</i><span>&nbsp;over the 20th and early 21st Centuries in six cores, comprising up to 60.7% of a single sample. The emerging dominance of&nbsp;</span><i>P. simplissima</i><span>&nbsp;since ~1950 along with the reduction of brackish-estuarine taxa and introduction of calcareous species signifies increased&nbsp;salinity&nbsp;and less&nbsp;marsh&nbsp;organic matter preserved in the sediments. While seasonal dissolution limits our ability to chronologically constrain the introduction of calcareous species,&nbsp;</span><i>P. simplissima</i><span>, a species not referenced in taxonomic data from the northern&nbsp;Gulf of Mexico&nbsp;until 2012, is well constrained, following its first occurrence in the 1930s.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2021.107312","usgsCitation":"Ellis, A.M., and Smith, C., 2021, Emerging dominance of Paratrochammina simplissima (Cushman and McCulloch) in the northern Gulf of Mexico following hydrologic and geomorphic changes: Estuarine, Coastal, and Shelf Science, v. 255, 107312, 15 p., https://doi.org/10.1016/j.ecss.2021.107312.","productDescription":"107312, 15 p.","ipdsId":"IP-123715","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":385701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Mississippi","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.52484130859375,\n              29.99062347853047\n            ],\n            [\n              -88.363037109375,\n              29.99062347853047\n            ],\n            [\n              -88.363037109375,\n              30.38709188778112\n            ],\n            [\n              -89.52484130859375,\n              30.38709188778112\n            ],\n            [\n              -89.52484130859375,\n              29.99062347853047\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"255","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":192957,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha","email":"aellis@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":815845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Christopher G. 0000-0002-8075-4763","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":218439,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":815846,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70220865,"text":"70220865 - 2021 - Heat flux from a vapor-dominated hydrothermal field beneath Yellowstone Lake","interactions":[],"lastModifiedDate":"2021-05-26T12:24:30.798807","indexId":"70220865","displayToPublicDate":"2021-05-14T07:13:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Heat flux from a vapor-dominated hydrothermal field beneath Yellowstone Lake","docAbstract":"<p><span>We report results from 149 heat flux measurements made over n ∼2-year interval at sites in and around a vapor-dominated geothermal field located at water depths of ∼100–120&nbsp;m in Yellowstone Lake, Wyoming. Measurements of both in situ temperature and thermal conductivity as a function of depth were made with a 1 m probe via a remotely operated vehicle, and are combined to compute the vertical conductive heat flux. Inside the ∼55.5&nbsp;×&nbsp;10</span><sup>3</sup><span>&nbsp;m</span><sup>2</sup><span>&nbsp;bathymetric depression demarcating the vapor-dominated field, the median conductive flux is 13&nbsp;W&nbsp;m</span><sup>−2</sup><span>, with a conductive output of 0.72&nbsp;MW. Outside the thermal field, the median conductive flux is 3.5&nbsp;W&nbsp;m</span><sup>−2</sup><span>. We observed 49 active vents inside the thermal field, with an estimated mass discharge rate of 56&nbsp;kg&nbsp;s</span><sup>−1</sup><span>, a median exit-fluid temperature of 132°C, and a total heat output of 29&nbsp;MW. We find evidence for relatively weak secondary convection with a total output of 0.09&nbsp;MW in thermal area lake floor sediments. Our data indicate that vapor beneath the thermal field is trapped by a low-permeability cap at a temperature of ∼189°C and a depth of ∼15&nbsp;m below the lake floor. The thermal output of the Deep Hole is among the highest of any vapor-dominated field in Yellowstone, due in part to the high boiling temperatures associated with the elevated lake floor pressures.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB021098","usgsCitation":"Favorito, J.E., Harris, R.N., Sohn, R.A., Hurwitz, S., and Luttrell, K., 2021, Heat flux from a vapor-dominated hydrothermal field beneath Yellowstone Lake: Journal of Geophysical Research, v. 126, no. 5, e2020JB021098, 20 p., https://doi.org/10.1029/2020JB021098.","productDescription":"e2020JB021098, 20 p.","ipdsId":"IP-125194","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":452262,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2020jb021098","text":"External Repository"},{"id":385976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.62957763671875,\n              44.25306865928177\n            ],\n            [\n              -110.1434326171875,\n              44.25306865928177\n            ],\n            [\n              -110.1434326171875,\n              44.65888542068506\n            ],\n            [\n              -110.62957763671875,\n              44.65888542068506\n            ],\n            [\n              -110.62957763671875,\n              44.25306865928177\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Favorito, Julia E.","contributorId":258789,"corporation":false,"usgs":false,"family":"Favorito","given":"Julia","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":816503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Robert N. 0000-0002-4641-1425","orcid":"https://orcid.org/0000-0002-4641-1425","contributorId":258790,"corporation":false,"usgs":false,"family":"Harris","given":"Robert","email":"","middleInitial":"N.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":816504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohn, Robert A. 0000-0002-9050-8603","orcid":"https://orcid.org/0000-0002-9050-8603","contributorId":258792,"corporation":false,"usgs":false,"family":"Sohn","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":816505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":816506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luttrell, Karen 0000-0003-1405-1207","orcid":"https://orcid.org/0000-0003-1405-1207","contributorId":258797,"corporation":false,"usgs":false,"family":"Luttrell","given":"Karen","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":816507,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231206,"text":"70231206 - 2021 - The 2018 update of the US National Seismic Hazard Model: Ground motion models in the western US","interactions":[],"lastModifiedDate":"2022-05-03T11:58:19.866725","indexId":"70231206","displayToPublicDate":"2021-05-14T06:51:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The 2018 update of the US National Seismic Hazard Model: Ground motion models in the western US","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>The U.S. Geological Survey (USGS) National Seismic Hazard Model (NSHM) is the scientific foundation of seismic design regulations in the United States and is regularly updated to consider the best available science and data. The 2018 update of the conterminous U.S. NSHM includes significant changes to the underlying ground motion models (GMMs), most of which are necessary to enable the new multi-period response spectra (MPRS) requirements of seismic design regulations that use hazard results for 22 spectral periods and eight site classes. This article focuses on the GMMs used in the western United States (WUS) and is a companion to a recent article on the GMMs used in the central and eastern United States (CEUS). In the WUS, for crustal and subduction earthquakes, two models used in previous versions of the NSHM are excluded to provide consistency over all considered periods and site classes. To more accurately estimate ground motions at long periods in the vicinity of Los Angeles, San Francisco, Salt Lake City, and Seattle, the 2018 NSHM incorporates deep sedimentary basin depth from local seismic velocity models. The subduction GMMs considered lack basin depth terms and are modified to include an additional scale factor to account for this. This article documents the WUS GMMs used in the 2018 NSHM update and provides detail on the changes to GMM medians, aleatory variability, epistemic uncertainty, and site-effect models. It compares each of these components with those considered in prior NSHMs and discusses their total effect on hazard.</p></div></div>","language":"English","publisher":"Sage Publications","doi":"10.1177/87552930211011200","usgsCitation":"Powers, P.M., Rezaeian, S., Shumway, A., Petersen, M.D., Luco, N., Boyd, O.S., Moschetti, M.P., Frankel, A.D., and Thompson, E.M., 2021, The 2018 update of the US National Seismic Hazard Model: Ground motion models in the western US: Earthquake Spectra, v. 37, no. 4, p. 2315-2341, https://doi.org/10.1177/87552930211011200.","productDescription":"28 p.","startPage":"2315","endPage":"2341","ipdsId":"IP-127011","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":452265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930211011200","text":"Publisher Index 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ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":842025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":842027,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842028,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":842029,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842030,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223428,"text":"70223428 - 2021 - Land conversion and pesticide use degrade forage areas for honey bees in America’s beekeeping epicenter","interactions":[],"lastModifiedDate":"2021-08-26T21:16:03.616536","indexId":"70223428","displayToPublicDate":"2021-05-13T16:02:29","publicationYear":"2021","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":"Land conversion and pesticide use degrade forage areas for honey bees in America’s beekeeping epicenter","docAbstract":"A diverse range of threats have been associated with managed bee declines globally. Recent increases of two known threats, land-use change and pesticide use, have resulted from agricultural expansion and intensification notably in the top honey producing state in the United States (U.S.): North Dakota. This study investigated the dual threat from land conversion and pesticide use surrounding ~14,000 registered apiaries in North Dakota from 2001 to 2014. We estimated the annual total insecticide use (kg) on major crops within 1.6 km of apiary sites. Of the eight insecticides, six showed significant increasing trends over the time period. Specifically, applications of the newly established neonicotinoids Chlothianidin, Imidacloprid and Thiamethoxam, increased annually by 1329 kg, 686 kg, 795 kg, respectively. Also, the use of Chlorpyrifos, which was well-established by 2001 and is highly toxic to honey bees, increased by ~8,800 kg annually from 6,500 kg in 2001 to 115,000 kg in 2014 on corn, soybeans and wheat. We further evaluated the relative quality changes of natural/semi-natural land covers surrounding apiaries in 2006, 2010 and 2014, a period of significant increases in cropland area. In areas surrounding apiaries, we observed changes in multiple indices of forage quality that reflect the deteriorating landscape surrounding registered apiary sites due to land-use change and pesticide-use increases. Overall, our results suggest that the application of foliar-applied insecticides, including pyrethroids and one organophosphate, increased surrounding apiaries when the use of neonicotinoid seed treatment surged and the area for producing corn and soybeans expanded. Spatially, these threats were most pronounced in southeastern North Dakota, a region hosting a high density of apiary sites that has recently experienced corn and soybean expansion. Our results highlight the values of natural and semi-natural land covers as sources of pollinator forage and providing refugia for bees against pesticide exposure. Our study provides insights for targeting conservation efforts to improve forage quality for benefiting managed pollinators.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0251043","usgsCitation":"Dixon, D.J., Zheng, H., and Otto, C., 2021, Land conversion and pesticide use degrade forage areas for honey bees in America’s beekeeping epicenter: PLoS ONE, v. 16, no. 5, p. 1-15, https://doi.org/10.1371/journal.pone.0251043.","productDescription":"e0251043, 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-124228","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452267,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0251043","text":"Publisher Index Page"},{"id":388568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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,{"id":70229235,"text":"70229235 - 2021 - Demographic responses to density-dependence by two populations of the Florida Tree Snail, Liguus fasciatus (Gastropoda: Orthalicidae), in Everglades National Park","interactions":[],"lastModifiedDate":"2022-03-03T17:51:10.639176","indexId":"70229235","displayToPublicDate":"2021-05-13T11:48:27","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3574,"text":"The Nautilus","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Demographic responses to density-dependence by two populations of the Florida Tree Snail, <i>Liguus fasciatus</i> (Gastropoda: Orthalicidae), in Everglades National Park","title":"Demographic responses to density-dependence by two populations of the Florida Tree Snail, Liguus fasciatus (Gastropoda: Orthalicidae), in Everglades National Park","docAbstract":"<p>D<span>uring May-October 1996, we captured and individually marked and released Florida Tree Snails, Liguus fasciatus, from two sites, a subclimax hammock and a large isolated wild tamarind tree, in the Long Pine Key region of Everglades National Park. Populations shared the same two dominant morphs, castaneozonatus and. cingulatus, both of which are strong colonizers. Monthly survivorship between the two sites were comparable, although annual survivorship was lower on the isolated tree. Intersite differences in growth rates were equivocal. The populations differed with respect to number of morphs, population size, and population structure. The hammock site was a subclimax hammock with a large and stable bell-shaped population structure comprising nine morphs. In contrast, the population structure of the single tree was highly skewed, with many young individuals produced, intermediate ages absent, and few large adults of larger asymptotic size present. Number of snails/m was higher on the isolated tree. Demographic studies of the Florida Tree Snail are uncommon. Our findings corroborate certain aspects of the ecology of this species and clarify two different demographic responses, one of stability, and one of apparent resource limitation whose demography represents opportunities for colonization.&nbsp;</span></p>","language":"English","publisher":"Bailey-Matthews National Shell Museum","usgsCitation":"Meshaka, W.E., Rice, K.G., Bass, O., and Waddle, H., 2021, Demographic responses to density-dependence by two populations of the Florida Tree Snail, Liguus fasciatus (Gastropoda: Orthalicidae), in Everglades National Park: The Nautilus, v. 135, no. 1, p. 1-10.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-120151","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":396714,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.3482666015625,\n              25.095548539604252\n            ],\n            [\n              -80.44464111328125,\n              25.095548539604252\n            ],\n            [\n              -80.44464111328125,\n              25.9926124897092\n            ],\n            [\n              -81.3482666015625,\n              25.9926124897092\n            ],\n            [\n              -81.3482666015625,\n              25.095548539604252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"135","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meshaka, Walter E.","contributorId":215660,"corporation":false,"usgs":false,"family":"Meshaka","given":"Walter","email":"","middleInitial":"E.","affiliations":[{"id":39300,"text":"Section of Zoology and Botany, State Museum of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":837006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bass, Oron L.","contributorId":287679,"corporation":false,"usgs":false,"family":"Bass","given":"Oron L.","affiliations":[],"preferred":false,"id":837008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":209861,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837009,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229797,"text":"70229797 - 2021 - Short-term responses to a human-altered landscape do not affect fat dynamics of a migratory ungulate","interactions":[],"lastModifiedDate":"2022-03-17T15:17:17.029465","indexId":"70229797","displayToPublicDate":"2021-05-13T10:11:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Short-term responses to a human-altered landscape do not affect fat dynamics of a migratory ungulate","docAbstract":"<ol class=\"\"><li>According to risk-sensitive foraging theory, animals should make foraging decisions that balance nutritional costs and gains to promote fitness. Human disturbance is a form of perceived risk that can prompt avoidance of risky habitat over acquisition of food. Consequently, behavioural responses to perceived risk could induce nutritional costs.</li><li>Population declines often coincide with increases in human disturbance, which likely is associated with direct and indirect habitat loss. Nevertheless, behavioural and physiological responses to perceived risks associated with human disturbance could be an added nutritional deficit with population-level repercussions.</li><li>Using GPS-collar data from three populations of migratory mule deer<span>&nbsp;</span><i>Odocoileus hemionus</i><span>&nbsp;</span>exposed to a gradient of established industrial energy development on winter ranges where direct and indirect habitat loss were well documented, we evaluated whether exposure and behavioural responses to human disturbance alter changes in nutritional condition (i.e. fat reserves) over winter.</li><li>Although animals exhibited behaviours indicative of perceived risk of human disturbance, such as increased movement rates and avoidance of infrastructure, exposure and behavioural responses to human disturbance had little to no measurable effect on fat loss over a winter. Instead, catabolism of fat reserves occurred primarily as a function of the amount of fat animals had entering winter, suggesting that, in the short term, animals were able to mitigate the energetic costs of perceived risk of human disturbance over winter. Animals, however, did not appear to overcome persistent food limitations, and animals with less food availability lost more fat over winter.</li><li>Our findings heed caution in using short-term behavioural and physiological responses to inform long-term nutritional consequences of human disturbance. Although animals appear to mitigate the energetic costs of perceived risk, food limitations exacerbated by broader-scale avoidance of food near human disturbance may be the primary pathway causing the frequently observed population declines following human disturbance to pristine landscapes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.13827","usgsCitation":"Dwinnell, S., Sawyer, H., Kauffman, M., Randall, J.E., Kaiser, R., Thonhoff, M.A., Fralick, G., and Monteith, K., 2021, Short-term responses to a human-altered landscape do not affect fat dynamics of a migratory ungulate: Functional Ecology, v. 35, no. 2, p. 1512-1523, https://doi.org/10.1111/1365-2435.13827.","productDescription":"12 p.","startPage":"1512","endPage":"1523","ipdsId":"IP-126984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.13827","text":"Publisher Index Page"},{"id":397241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0113525390625,\n              41.4509614012039\n            ],\n            [\n              -110.80810546875,\n              41.4509614012039\n            ],\n            [\n              -110.80810546875,\n              42.581399679665054\n            ],\n            [\n              -111.0113525390625,\n              42.581399679665054\n            ],\n            [\n              -111.0113525390625,\n              41.4509614012039\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.16540527343749,\n              42.783307077249624\n            ],\n            [\n              -109.566650390625,\n              42.783307077249624\n            ],\n            [\n              -109.566650390625,\n              43.12905229628564\n            ],\n            [\n              -110.16540527343749,\n              43.12905229628564\n            ],\n            [\n              -110.16540527343749,\n              42.783307077249624\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.45654296875,\n              42.147114459220994\n            ],\n            [\n              -110.01434326171875,\n              42.147114459220994\n            ],\n            [\n              -110.01434326171875,\n              42.45588764197166\n            ],\n            [\n              -110.45654296875,\n              42.45588764197166\n            ],\n            [\n              -110.45654296875,\n              42.147114459220994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Dwinnell, Samantha P. 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H.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":838290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Hall","contributorId":288815,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":61432,"text":"wet","active":true,"usgs":false}],"preferred":false,"id":838291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":838289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Jill E.","contributorId":288816,"corporation":false,"usgs":false,"family":"Randall","given":"Jill","email":"","middleInitial":"E.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":838292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaiser, Rusty","contributorId":288171,"corporation":false,"usgs":false,"family":"Kaiser","given":"Rusty","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":838293,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thonhoff, Mark A.","contributorId":288818,"corporation":false,"usgs":false,"family":"Thonhoff","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":838294,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fralick, Gary L.","contributorId":288819,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary L.","affiliations":[{"id":54471,"text":"wyfg","active":true,"usgs":false}],"preferred":false,"id":838295,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Monteith, Kevin L.","contributorId":288820,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":838296,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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