{"pageNumber":"362","pageRowStart":"9025","pageSize":"25","recordCount":184743,"records":[{"id":70237270,"text":"70237270 - 2022 - Floodplains and climate change","interactions":[],"lastModifiedDate":"2022-10-06T15:00:23.931708","indexId":"70237270","displayToPublicDate":"2022-08-01T11:35:37","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":12617,"text":"IEP Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"99","chapter":"4","title":"Floodplains and climate change","docAbstract":"<p>Floodplains are landscape features that are periodically inundated by water from adjacent rivers (Opperman et al. 2010). Ecologically, functional floodplains are characterized by three primary elements: connectivity, flow regime, and spatial scale. Water quantity flowing over floodplains can vary greatly. Based on a flood’s effects on the floodplain, three flood categories have been defined: floodplain-activation floods, floodplain-maintenance floods, and floodplainresetting floods (Box 1). Several physical parameters determine the types of ecosystems on floodplains and the species they will support; these include temperature, water depth, water velocity, and hydrologic connectivity (Opperman et al. 2010). Natural ecosystems commonly found on floodplains include annual vegetation, forests, seasonal wetlands, and permanent ponds or wetlands (Whipple et al. 2012). Floodplains provide many valuable ecosystem services: attenuation of flood flows which reduces flood risk, filtration of surface water, recreation, fisheries, agriculture, biodiversity, food availability, and groundwater recharge, which contributes to more-sustained and cooler dry-season flows (Opperman et al. 2010).</p><p style=\"\">--------------------------------------------------------------------------------------------------------------<br>Box 1</p><p style=\"\">Floodplain-activation flood</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\"><br>A small magnitude flood that occurs relatively frequently and produces characteristic ecological benefits such as food-web productivity and habitat creation for native fish spawning and rearing.</p><p>Floodplain-maintenance flood</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\"><br>A higher magnitude flood that, in addition to providing ecological benefits, results in geomorphic changes including bank erosion and deposition on the floodplain.<br></p><p>Floodplain-resetting flood</p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\"><br>A very high-magnitude flood that occurs rarely and results in extensive geomorphic changes, such as the scouring of floodplain surfaces and changes in channel location due to avulsion.</p><p style=\"\">----------------------------------------------------------------------------</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Synthesis of data and studies related to the effect of climate change on the ecosystems and biota of the Upper San Francisco Estuary Year 2022","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Interagency Ecological Program","usgsCitation":"Keeley, A., Khanna, S., Kwan, N., Matthias, B.G., Pien, C., and Wulff, M.L., 2022, Floodplains and climate change: IEP Technical Report 99, 51 p.","productDescription":"51 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,{"id":70237209,"text":"70237209 - 2022 - Chapter 1: General conceptual model for climate change in the Upper San Francisco Estuary","interactions":[],"lastModifiedDate":"2022-10-05T20:04:24.970765","indexId":"70237209","displayToPublicDate":"2022-08-01T11:35:25","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":12617,"text":"IEP Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"99","chapter":"1","title":"Chapter 1: General conceptual model for climate change in the Upper San Francisco Estuary","docAbstract":"<p>This report is a collaboration by many state and federal agencies working in the Upper San Francisco Estuary to analyze the potential impacts of climate change to different ecosystems found here. Management stategies for ecological values in the face of climate change require reliable and focused information. In this technical report, our focus is on the Upper San Francisco Estuary (SFE), which contains the Sacramento-San Joaquin Delta and Suisun Bay. This area is home to three interconnected ecosystems: open water, floodplain, and tidal marsh. For this geographical area, we have decades of in-depth monitoring information and scientific investigations that have been successfully used to address a number of management needs. In 2019, the Interagency Ecological Program established a diverse work team to improve our ability to anticipate and respond to climate change impacts. The charge to the group was to: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• synthesize science relevant to climate change, </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• determine important knowledge gaps, and </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">• identify ecosystem metrics for climate change. </p><p>We focus our analyses on the likely impacts of climate change on interconnected aquatic habitats. We illustrate how changes in habitats are likely to affect diverse species. </p><p>In this report we describe ecological trends attributable to climate change and likely future impacts. We address four principal questions: </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">1. How have the habitats and biotic communities changed due to climatic trends and events? </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">2. How are estuarine habitats, flora, and fauna likely to change as climate change trends continue? </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">3. What are key metrics to document ecosystem change as a result of climate change? </p><p style=\"padding-left: 40px;\" data-mce-style=\"padding-left: 40px;\">4. How should our monitoring change to improve information value? </p><p>Our work builds on the similar work of the San Francisco Baylands Goals Project (Goals Project 2015), which addressed climate change impacts to wetlands downstream of the confluence of the Sacramento and San Joaquin Rivers. We aim to contribute to an integrated baseline understanding of climate change impacts for the entire San Francisco Estuary.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Synthesis of data and studies related to the effect of climate change on the ecosystems and biota of the Upper San Francisco Estuary Year 2022","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Interagency Ecological Program","usgsCitation":"Bush, E., Herbold, B., and Brown, L.R., 2022, Chapter 1: General conceptual model for climate change in the Upper San Francisco Estuary: IEP Technical Report 99, 63 p.","productDescription":"63 p.","startPage":"8","endPage":"70","ipdsId":"IP-133000","costCenters":[{"id":154,"text":"California Water Science 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,{"id":70237658,"text":"70237658 - 2022 - Examining industry vulnerability: A focus on mineral commodities used in the automotive and electronics industries","interactions":[],"lastModifiedDate":"2022-10-18T15:51:22.56241","indexId":"70237658","displayToPublicDate":"2022-08-01T10:45:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3266,"text":"Resources Policy","active":true,"publicationSubtype":{"id":10}},"title":"Examining industry vulnerability: A focus on mineral commodities used in the automotive and electronics industries","docAbstract":"<p><span>Automotive manufacturing is material-intensive and dependent on a broad range of mineral commodities. Moreover, the automotive manufacturing industries are reliant on complex and sometimes opaque multi-tiered&nbsp;global supply chains. Among the many industries on which automotive supply chains depend are the electronics and&nbsp;</span>semiconductor industries<span>, which are themselves material-intensive and reliant on opaque global supply chains. A linear programming model built on mineral end-use data and input-output tables provides a tool for investigating inter-industry relationships between the two sets of industry sectors and industrial vulnerability to mineral commodity supply disruptions. Supply disruptions in aluminum,&nbsp;magnesium metal, and zinc—metals used in the body-in-white, wheels and other parts—have significant potential to disrupt the&nbsp;automotive industries. On the other hand, supply disruptions in&nbsp;gallium,&nbsp;tellurium, and&nbsp;indium&nbsp;for example—semiconductor elements used in power electronics, screen coatings and other parts—have significant potential to impact the electronics and computer industries. More interestingly, case studies of the automotive and electronics industries show how supply disruptions in mineral commodities that are generally considered&nbsp;semiconductor materials, such as gallium, can significantly impact the&nbsp;automotive sector.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.resourpol.2022.102894","usgsCitation":"Manley, R., Alonso, E., and Nassar, N.T., 2022, Examining industry vulnerability: A focus on mineral commodities used in the automotive and electronics industries: Resources Policy, v. 78, 102894, 8 p., https://doi.org/10.1016/j.resourpol.2022.102894.","productDescription":"102894, 8 p.","ipdsId":"IP-135107","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":487793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resourpol.2022.102894","text":"Publisher Index Page"},{"id":408492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manley, Ross 0000-0002-3341-4766","orcid":"https://orcid.org/0000-0002-3341-4766","contributorId":223012,"corporation":false,"usgs":true,"family":"Manley","given":"Ross","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":854894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":854895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":854896,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237283,"text":"70237283 - 2022 - Influence of surface- and ground-water hydrology on riparian tree growth and mortality in the Limitrophe segment of the Colorado River","interactions":[],"lastModifiedDate":"2022-11-29T16:53:40.800191","indexId":"70237283","displayToPublicDate":"2022-08-01T10:03:14","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":12975,"text":"Biennial Report","active":true,"publicationSubtype":{"id":4}},"chapter":"4","title":"Influence of surface- and ground-water hydrology on riparian tree growth and mortality in the Limitrophe segment of the Colorado River","docAbstract":"<p>Branch sections and cores of cottonwood and willow trees were collected from two sites in the Limitrophe. Tree-ring analyses may reveal the relationships among tree growth, streamflow and groundwater.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Minute 323, first biennial report 2018, of monitoring of environmental flows in the Limitrophe and delta of the Colorado River","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Boundary & Water Commission","usgsCitation":"Shafroth, P.B., 2022, Influence of surface- and ground-water hydrology on riparian tree growth and mortality in the Limitrophe segment of the Colorado River: Biennial Report, 3 p.","productDescription":"3 p.","startPage":"36","endPage":"38","ipdsId":"IP-112545","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":409796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408016,"type":{"id":15,"text":"Index Page"},"url":"https://www.ibwc.gov/EMD/Minute323workgroup.html","linkFileType":{"id":5,"text":"html"}}],"country":"Mexico, United States","state":"Arizona, Baja California","otherGeospatial":"Limitrophe of the Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.81399184252159,\n              32.7413427567745\n            ],\n            [\n              -114.81399184252159,\n              32.47087175054729\n            ],\n            [\n              -114.6129630599179,\n              32.47087175054729\n            ],\n            [\n              -114.6129630599179,\n              32.7413427567745\n            ],\n            [\n              -114.81399184252159,\n              32.7413427567745\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":297380,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":853975,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70235858,"text":"70235858 - 2022 - Watershed processes as amplifiers of climate change and the impact on the future of fine-sediment delivery in the Humboldt Bay-Eel River region, California","interactions":[],"lastModifiedDate":"2022-08-24T11:01:59.596898","indexId":"70235858","displayToPublicDate":"2022-08-01T09:58:05","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Watershed processes as amplifiers of climate change and the impact on the future of fine-sediment delivery in the Humboldt Bay-Eel River region, California","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Friends of the Pleistocene. Pacific cell 2022. Triangle of doom V2.0 guidebook","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Friends of the Pleistocene, Pacific Cell 2022 Field Conference","conferenceDate":"Aug 26-28, 2022","conferenceLocation":"Humboldt County, CA","language":"English","usgsCitation":"Curtis, J., 2022, Watershed processes as amplifiers of climate change and the impact on the future of fine-sediment delivery in the Humboldt Bay-Eel River region, California, <i>in</i> Friends of the Pleistocene. Pacific cell 2022. Triangle of doom V2.0 guidebook, Humboldt County, CA, Aug 26-28, 2022, p. 174-176.","productDescription":"3 p.","startPage":"174","endPage":"176","ipdsId":"IP-144079","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":405462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405461,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fop.cascadiageo.org/field-trips/pacific-cell-field-trips/2022-triangle-of-doom-take-two/"}],"country":"United States","state":"California","otherGeospatial":"Humboldt Bay-Eel River region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.10705566406249,\n              41.6195489884308\n            ],\n            [\n              -124.18945312500001,\n              41.05035951931887\n            ],\n            [\n              -124.3927001953125,\n              40.55554790286311\n            ],\n            [\n              -124.365234375,\n              40.195659093364654\n            ],\n            [\n              -123.42041015624999,\n              39.787433886224406\n            ],\n            [\n              -123.145751953125,\n              39.76210275375139\n            ],\n            [\n              -123.057861328125,\n              39.816975090490004\n            ],\n            [\n              -123.29406738281249,\n              40.250184183819854\n            ],\n            [\n              -123.39294433593749,\n              40.44276659332215\n            ],\n            [\n              -123.39294433593749,\n              40.78054143186033\n            ],\n            [\n              -123.4259033203125,\n              40.93011520598305\n            ],\n            [\n              -123.6181640625,\n              41.21998578493921\n            ],\n            [\n              -123.8983154296875,\n              41.541477666790286\n            ],\n            [\n              -124.04663085937499,\n              41.65649719441145\n            ],\n            [\n              -124.10705566406249,\n              41.6195489884308\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Curtis, Jennifer 0000-0001-7766-994X","orcid":"https://orcid.org/0000-0001-7766-994X","contributorId":212727,"corporation":false,"usgs":true,"family":"Curtis","given":"Jennifer","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849539,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70237284,"text":"70237284 - 2022 - Vegetation monitoring","interactions":[],"lastModifiedDate":"2022-11-29T17:00:47.556546","indexId":"70237284","displayToPublicDate":"2022-08-01T09:45:52","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":12975,"text":"Biennial Report","active":true,"publicationSubtype":{"id":4}},"chapter":"3","title":"Vegetation monitoring","docAbstract":"<p>Sonoran Institute, Pronatura Noroeste, and University of Arizona conducted vegetation monitoring in riparian restoration sites and control sites along the Colorado River corridor in Mexico during the fall (end of the growing season) of 2018. The overall goal of the vegetation monitoring program was to quantify impacts of restoration actions on the extent, composition, and structure of riparian habitat and to relate habitat characteristics to bird abundance and diversity. Specific monitoring objectives were to measure the vegetation vertical structure, density, and cover by species in active riparian restoration sites that had been planted prior to 2017 (&gt; 2 years of growth) in Laguna Grande (CILA, Herradura, and Cori sites) and Miguel Alemán (Fig. 3-1) and to compare vegetation metrics in the restoration sites to the control sites to assess impacts of restoration. The Chaussé restoration site is scheduled for initial monitoring in 2021. </p><p>This report chapter summarizes 2018 results from the restoration and control sites and compares restoration site results between 2017 and 2018.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Minute 323, first biennial report 2018, of monitoring of environmental flows in the Limitrophe and delta of the Colorado River","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Boundary & Water Commission","usgsCitation":"Schlatter, K., Gomez-Sapiens, M., Salazar, H., Calvo-Fonseca, A., Shafroth, P., and Gonzalez, E., 2022, Vegetation monitoring: Biennial Report, 16 p.","productDescription":"16 p.","startPage":"20","endPage":"35","ipdsId":"IP-112544","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":409797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":408017,"type":{"id":15,"text":"Index Page"},"url":"https://www.ibwc.gov/EMD/Minute323workgroup.html","linkFileType":{"id":5,"text":"html"}}],"country":"Mexico, United States","state":"Arizona, Baja California","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.6835045978432,\n              32.69470473753158\n            ],\n            [\n              -114.6978158790599,\n              32.72079584871953\n            ],\n            [\n              -114.87432168073127,\n              32.682660113159\n            ],\n            [\n              -115.18439944042449,\n              32.203582930561595\n            ],\n            [\n              -115.0174344928974,\n              32.02782398290893\n            ],\n            [\n              -114.91248509730893,\n              32.10665432392146\n            ],\n            [\n              -114.93156680559778,\n              32.270161513475344\n            ],\n            [\n              -114.86955125365913,\n              32.429348191551085\n            ],\n            [\n              -114.78368356635951,\n              32.49576087727088\n            ],\n            [\n              -114.6835045978432,\n              32.69470473753158\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schlatter, Karen","contributorId":176222,"corporation":false,"usgs":false,"family":"Schlatter","given":"Karen","email":"","affiliations":[],"preferred":false,"id":853976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":853977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salazar, Helen","contributorId":297381,"corporation":false,"usgs":false,"family":"Salazar","given":"Helen","email":"","affiliations":[{"id":27612,"text":"Sonoran Institute","active":true,"usgs":false}],"preferred":false,"id":853978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calvo-Fonseca, Alejandra","contributorId":297382,"corporation":false,"usgs":false,"family":"Calvo-Fonseca","given":"Alejandra","email":"","affiliations":[{"id":24640,"text":"Pronatura Noroeste","active":true,"usgs":false}],"preferred":false,"id":853979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":853980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Eduardo","contributorId":225181,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":853981,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70236047,"text":"70236047 - 2022 - Biennial progress report 2020-2021","interactions":[],"lastModifiedDate":"2026-03-18T14:53:27.680522","indexId":"70236047","displayToPublicDate":"2022-08-01T09:43:45","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Biennial progress report 2020-2021","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Coordinating Committee on the Validation of Alternative Methods","usgsCitation":"Leet, J.K., Rattner, B., Iwanowicz, L.R., Karouna-Renier, N., Saari, G.N., and Amberg, J., 2022, Biennial progress report 2020-2021, 141 p.","productDescription":"141 p.","ipdsId":"IP-144409","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501243,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501242,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ntp.niehs.nih.gov/sites/default/files/iccvam/docs/annrpt/iccvam-rpt-2020-2021.pdf","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leet, Jessica Kristin 0000-0001-8142-6043","orcid":"https://orcid.org/0000-0001-8142-6043","contributorId":225505,"corporation":false,"usgs":true,"family":"Leet","given":"Jessica","email":"","middleInitial":"Kristin","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":849807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":221814,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":190787,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke","email":"liwanowicz@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":849809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849810,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saari, Gavin N. 0000-0002-3593-5127 gsaari@usgs.gov","orcid":"https://orcid.org/0000-0002-3593-5127","contributorId":289203,"corporation":false,"usgs":true,"family":"Saari","given":"Gavin","email":"gsaari@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":849811,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":849812,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70235849,"text":"70235849 - 2022 - Living with wildfire in Grand County, Colorado: 2021 data report","interactions":[],"lastModifiedDate":"2022-08-23T14:44:06.307743","indexId":"70235849","displayToPublicDate":"2022-08-01T09:41:02","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-94","title":"Living with wildfire in Grand County, Colorado: 2021 data report","docAbstract":"<p><span>Wildfire affects hundreds of wildland-urban interface communities each year, and yet most communities lack data reflecting the conditions before an event. This study was conducted before the devastating 2020 East Troublesome Fire1, which spread across 193,812 acres and resulted in two lives lost and 366 homes and 214 other structures burned. The fire’s dramatic run threatened over 7,000 structures and led to a mandatory evacuation of over 35,000 people in Grand and Larimer Counties. The data reported here serve as baseline data to aid in understanding the parcel and social conditions before the fire. This report presents results from WiRē Rapid Wildfire Risk Assessment (WiRē RA) data, collected from 1,162 private residential properties in six communities in five fire protection districts (FPDs), the majority (72%) of which were characterized as high, very high, or extreme risk.</span><br><br><span>This report also presents results from household surveys sent to homeowners in the study area. Household survey respondents underestimated their risk compared to the conditions observed through the professional risk assessment. Respondents consistently overestimated the amount of defensible space and the distance from their homes to nonvegetative combustibles. Respondents also overestimated the availability of driveway clearance that would enable access for response vehicles and for safe passing of residents evacuating and responders arriving to their homes.</span></p>","language":"English","publisher":"USDA Forest Service Rocky Mountain Research Station","doi":"10.2737/RMRS-RN-94","usgsCitation":"Brenkert-Smith, H., McConnell, A.E., Olson, S.K., Gosey, A.C., Meldrum, J., Champ, P.A., Gomez, J., Barth, C.M., Donovan, C., Wagner, C., and Goolsby, J., 2022, Living with wildfire in Grand County, Colorado: 2021 data report: Research Note RMRS-RN-94, 178 p., https://doi.org/10.2737/RMRS-RN-94.","productDescription":"178 p.","ipdsId":"IP-137957","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":405460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405450,"type":{"id":15,"text":"Index 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,{"id":70234118,"text":"70234118 - 2022 - Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs","interactions":[],"lastModifiedDate":"2022-08-01T14:36:06.939046","indexId":"70234118","displayToPublicDate":"2022-08-01T09:25:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1333,"text":"Continental Shelf Research","active":true,"publicationSubtype":{"id":10}},"title":"Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs","docAbstract":"<p>Structure from motion (SfM)&nbsp;photogrammetry&nbsp;is an increasingly common technique for measuring landscape change over time by deriving 3D point clouds and surface models from overlapping photographs. Traditional change detection approaches require photos that are geotagged with a differential&nbsp;GPS&nbsp;(DGPS) location, which requires expensive equipment that can limit the ability of communities and researchers to perform frequent (<i>i.e.</i><span>&nbsp;daily, weekly, and/or monthly) surveys. Crowd-sourced photos can lower the barrier to entry and substantially increase the frequency of surveys, although such photos often lack accurate location information and can vary in quality. This paper presents a SfM approach for monitoring environmental change in high relief coastal environments that does not require all photos have DGPS location information and does not require field survey data. A 1.5&nbsp;km section of coastal bluffs near the Elwha&nbsp;River Delta&nbsp;(Washington state) is used to demonstrate the efficacy of this approach. Photos of the bluff were collected with a digital&nbsp;SLR&nbsp;camera or phone camera while either on foot along the beach or from a boat as part of monitoring following removal of two large dams along the Elwha River during 2011–2013. Only 33% of photos had DGPS location information, whereas most photos had no location information or locations that were accurate to a couple of meters. All photos were processed using 3D, 4D, and fixed-floating (FF) SfM alignment methods and the resulting dense point clouds are used to compare the different alignment approaches with crowd-sourced photo sets. Results demonstrate that 4D and FF approaches are more likely to reconstruct and are more accurate than the 3D approach. While the 4D and FF have comparable accuracies, the FF approach is several orders of magnitude more efficient, as this method can leverage camera location information from relatively few photos to improve the accuracy of all aligned and derived products. Effectively utilizing crowd-sourced photos in SfM change detection can improve the frequency of surveying a landscape in a more cost-effective approach that also has potential for citizen-science engagement and communication. This is especially important for data-poor environments such as high-relief coastal cliffs and bluffs, where near-nadir imagery and LIDAR may fail to accurately capture near-vertical cliffs or bluff faces. Based on the analysis of different photo alignment and filtering approaches, we present suggested best practices for engaging citizen scientists in coastal cliff and bluff monitoring efforts through collecting photos amenable for SfM reconstruction.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2022.104799","usgsCitation":"Wernette, P., Miller, I.M., Ritchie, A.C., and Warrick, J.A., 2022, Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs: Continental Shelf Research, v. 245, 104799, 12 p., https://doi.org/10.1016/j.csr.2022.104799.","productDescription":"104799, 12 p.","ipdsId":"IP-129225","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":446968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.5061/dryad.63xsj3v4s","text":"External Repository"},{"id":404570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.54572296142578,\n              48.146846885734256\n            ],\n            [\n              -123.52460861206055,\n              48.12805945422104\n            ],\n            [\n              -123.51877212524414,\n              48.13413175409871\n            ],\n            [\n              -123.52632522583006,\n              48.13963057588326\n            ],\n            [\n              -123.53284835815428,\n              48.146846885734256\n            ],\n            [\n              -123.54537963867186,\n              48.150970035875766\n            ],\n            [\n              -123.54572296142578,\n              48.146846885734256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"245","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":847870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847871,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":847872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237091,"text":"70237091 - 2022 - Section 5: Remote sensing of vegetation in the riparian corridor of the Colorado River’s delta 2013-2018","interactions":[],"lastModifiedDate":"2026-01-12T16:42:05.865776","indexId":"70237091","displayToPublicDate":"2022-08-01T09:21:50","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Section 5: Remote sensing of vegetation in the riparian corridor of the Colorado River’s delta 2013-2018","docAbstract":"<p>This remote sensing section is based on Nagler et al. (in preparation for the journal Hydrological Processes) and is a summary of the USGS preliminary findings to date.</p><p> This report documents the changes in green foliage density (greenness) as measured by satellite vegetation index (VI) data and corresponding evapotranspiration (ET) in the riparian corridor of the Colorado River delta associated with the Minutes 319 and 323 environmental water deliveries using time-series data from 2013 through 2018. The report focuses on what happened only within the riparian corridor’s seven reaches since the 2014 flows, and despite being a continuation of measuring greenness and ET after the 2017 end of Minute 319, this study continued the tracking of these two variables, greenness and ET, in these original riparian corridor focal areas. Two spatial scales are used here: (1) Landsat satellite imagery at 30 m pixels and (2) the EOS-1 satellite sensor the Moderate Resolution Imaging Spectrometer (MODIS) with a resolution of 250 m pixels. The focal period includes 2013 (prepulse flow) and the years 2014-2018, with a focus on imagery collected from the Summer growing seasons 2014 through 2018 (one-year, pre-pulse and several post-pulse years, respectively). </p><p>This report re-creates the 2013-2017 Landsat-based results from Jarchow et al. (2017a, b) by using the same region of interest (ROI). The report now provides revised and re-created results using all new imagery acquisition and processing techniques, as well as extraction code, created by the Vegetation Index and Phenology (VIP) Lab of the Biosystems Engineering Department of the University of Arizona (UofA). In 2018, methods employed by the VIP lab (and not ArcGIS) were used. ArcGIS was only used in the newly processed data to display the final difference maps. The entire spatial tile data from NASA was downloaded and processed at the VIP Lab using satellite imagery at two resolutions: 250 m MODIS and 30 m Landsat using three sensors, Landsat 5, Landsat 7 ETM+ and Landsat 8 Operational Land Imager (OLI), with added scenes for each year based on new clear atmosphere requirements. The VIP lab clipped the river boundary and seven riparian reaches from the previously existing ROI used in Jarchow et al. (2017 a, b) for the analyses done under Minute 319. The NASA image datasets for this riparian corridor ROI in seven reaches were re-processed to produce additional vegetation index (VI) information for years 2013 to 2018 for this report. At the same time, the report acquired and processed imagery from 2000- 2018 (data outside the scope of this report and data not shown here). The additional VIs (NDVI, scaled NDVI, EVI, EVI2) were analyzed so that new assessments of greenness and ET could be produced from the imagery datasets following methods in Nagler et al. (2013). These VI choices were based on previous performance comparisons between biophysical ground-based data and radiometric satellite-based data collected from this riparian ecosystem (Nagler et al., 2001) as well as performance related to ET estimation (Nagler et al., 2005a, b) and current advancements in VIs such as EVI2.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Minute 323: Colorado River limitrophe and delta environmental flows monitoring interim report for 2018","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"International Boundary and Water Commission United States and Mexico","usgsCitation":"Nagler, P.L., Barreto-Munoz, A., Jarchow, C., and Didan, K., 2022, Section 5: Remote sensing of vegetation in the riparian corridor of the Colorado River’s delta 2013-2018, 10 p.","productDescription":"10 p.","startPage":"39","endPage":"48","ipdsId":"IP-114755","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":407594,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Colorado River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.17517089843749,\n              31.587894464070395\n            ],\n            [\n              -114.3621826171875,\n              31.587894464070395\n            ],\n            [\n              -114.3621826171875,\n              32.99484290420988\n            ],\n            [\n              -115.17517089843749,\n              32.99484290420988\n            ],\n            [\n              -115.17517089843749,\n              31.587894464070395\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":853313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreto-Munoz, Armando","contributorId":131000,"corporation":false,"usgs":false,"family":"Barreto-Munoz","given":"Armando","email":"","affiliations":[{"id":7204,"text":"University of Arizona, Electrical and Computer Engineering","active":true,"usgs":false}],"preferred":false,"id":853314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jarchow, Christopher J. 0000-0002-0424-4104","orcid":"https://orcid.org/0000-0002-0424-4104","contributorId":211737,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher J.","affiliations":[{"id":38314,"text":"USGS Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":853315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":853316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241555,"text":"70241555 - 2022 - Editorial: Fire regimes in desert ecosystems: Drivers, impacts and changes","interactions":[],"lastModifiedDate":"2023-03-23T13:59:45.335315","indexId":"70241555","displayToPublicDate":"2022-08-01T08:56:29","publicationYear":"2022","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":"Editorial: Fire regimes in desert ecosystems: Drivers, impacts and changes","docAbstract":"<p><span>Although not commonly associated with fire, many desert ecosystems across the globe do occasionally burn, and there is evidence that fire incidences are increasing, leading to altered fire regimes in this biome. The increased prevalence of megafires (wildfires &gt;10,000 ha in size and typically damaging) in most global biomes is linked to climate change, although those occurring in deserts have received far less attention, from both a research and policy perspective, than that of forested ecosystems (</span>Linley et al., 2022<span>). Understanding the drivers of desert fires, from climate to landscape patterns of hydrology and soil, and how these may be changing in the face of anthropogenic pressures, such as invasive species, livestock grazing, and global climate change, is imperative. This Research Topic has published nine papers addressing these drivers, how they have changed, and their impacts on desert biodiversity.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2022.968031","usgsCitation":"van Etten, E.J., Brooks, M.L., Greenville, A.C., and Wardel, G.M., 2022, Editorial: Fire regimes in desert ecosystems: Drivers, impacts and changes: Frontiers in Ecology and Evolution, v. 10, 968031, 3 p., https://doi.org/10.3389/fevo.2022.968031.","productDescription":"968031, 3 p.","ipdsId":"IP-143374","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.968031","text":"Publisher Index Page"},{"id":414611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"van Etten, Eddie J. B.","contributorId":303343,"corporation":false,"usgs":false,"family":"van Etten","given":"Eddie","email":"","middleInitial":"J. B.","affiliations":[{"id":65770,"text":"Edith Cowan University, Australia","active":true,"usgs":false}],"preferred":false,"id":867294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenville, Aaron C.","contributorId":300416,"corporation":false,"usgs":false,"family":"Greenville","given":"Aaron","email":"","middleInitial":"C.","affiliations":[{"id":65131,"text":"Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, Sydney, New South Wales, Australia.","active":true,"usgs":false}],"preferred":false,"id":867296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wardel, Glenda M.","contributorId":303344,"corporation":false,"usgs":false,"family":"Wardel","given":"Glenda","email":"","middleInitial":"M.","affiliations":[{"id":33318,"text":"University of Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":867297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70234150,"text":"70234150 - 2022 - Defining fine-scaled population structure among continuously distributed populations","interactions":[],"lastModifiedDate":"2022-10-17T15:47:18.330622","indexId":"70234150","displayToPublicDate":"2022-08-01T08:27:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Defining fine-scaled population structure among continuously distributed populations","docAbstract":"<ol class=\"\"><li>Understanding wildlife population structure and connectivity can help managers identify conservation strategies, as structure can facilitate the study of population changes and habitat connectivity can provide information on dispersal and biodiversity. To facilitate the use of wildlife monitoring data for improved adaptive management, we developed a novel approach to define hierarchical tiers (multiple scales) of population structure.</li><li>We defined population structure by combining graph theory with biological inference about dispersal capability (based on movement, gene flow, and habitat condition) and functional processes affecting movement (e.g. habitat selection across scales of landscape preferences). First, we developed least-cost paths between high fidelity sites (habitat patches) using a cost surface, informed from functional processes of habitat characteristics to account for resistance of inter-patch movements. Second, we combined the paths into a multi-path graph construct. Third, we used information on potential connectivity (dispersal distances) and functional connectivity (permeability of fragmented landscapes based on selection preferences) to decompose the graph into hierarchical tiers of connected subpopulations, denoting the degree that dispersal affected population structure.</li><li>As a case study, we applied our approach across the greater sage-grouse (<i>Centrocercus urophasianus</i>) range, a species of conservation concern in western United States. We described the relative importance of local populations and where to potentially avoid landscape disturbances that may negatively affect population connectivity using centrality measures supported by graph theory, and we demonstrated close alignment of the resulting population structure with population densities.</li><li>This method can be adapted for other species with site fidelity and used as a management tool to evaluate population trends and responses to landscape changes across different temporal and spatial scales.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13949","usgsCitation":"O’Donnell, M.S., Edmunds, D.R., Aldridge, C.L., Heinrichs, J.A., Monroe, A., Coates, P.S., Prochazka, B.G., Hanser, S.E., and Wiechman, L.A., 2022, Defining fine-scaled population structure among continuously distributed populations: Methods in Ecology and Evolution, v. 13, no. 10, p. 2222-2235, https://doi.org/10.1111/2041-210X.13949.","productDescription":"14 p.","startPage":"2222","endPage":"2235","ipdsId":"IP-125127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446973,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13949","text":"Publisher Index Page"},{"id":435750,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P991D45Q","text":"USGS data release","linkHelpText":"Greater sage-grouse population structure and connectivity data to inform the development of hierarchical population units (western United States)"},{"id":435749,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QQ39WG","text":"USGS data release","linkHelpText":"lcp_centrality: Defining least-cost paths and graph theory centrality measures"},{"id":404649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":847982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":847983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":847984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":847985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":847986,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847987,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847988,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science 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,{"id":70238939,"text":"70238939 - 2022 - Analysis of provisioning ecosystem services and perceptions of climate change for indigenous communities in the Western Himalayan Gurez Valley, Pakistan","interactions":[],"lastModifiedDate":"2022-12-19T14:37:05.465224","indexId":"70238939","displayToPublicDate":"2022-08-01T08:19:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of provisioning ecosystem services and perceptions of climate change for indigenous communities in the Western Himalayan Gurez Valley, Pakistan","docAbstract":"<p><span>Climate change is a significant threat to people living in mountainous regions. It is essential to understand how montane communities currently depend especially on the provisioning ecosystem services (ES) and the ways in which climate change will impact these services, so that people can develop relevant adaptation strategies. The ES in the Gurez Valley, in the Western Himalayas of Pakistan, provide a unique opportunity to explore these questions. This understudied area is increasingly exposed not only to climate change but also to the overexploitation of resources. Hence, this study aimed to (a) identify and value provisioning ES in the region; (b) delineate indigenous communities’ reliance on ES based on valuation; and (c) measure the perceptions of indigenous communities of the impact of climate change on the ES in Gurez Valley. Semi-structured interviews and focus group discussions were used to classify the provisioning ES by using the ‘Common International Classification on Ecosystem Services’ (CICES) table and applying the ‘Total Economic Valuation (TEV)’ Framework. Results indicate that the indigenous communities are highly dependent on ES, worth 6730&nbsp;±&nbsp;520 USD/Household (HH)/yr, and perceive climate change as a looming threat to water, crops, and rearing livestock ESS in the Gurez Valley. The total economic value of the provisioning ES is 3.1 times higher than a household’s average income. Medicinal plant collection is a significant source of revenue in the Valley for some households, i.e., worth 766&nbsp;±&nbsp;134.8 USD/HH/yr. The benefits of the sustainable use of ES and of climate change adaptation and mitigation, are culturally, economically, and ecologically substantial for the Western Himalayans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2022.101453","usgsCitation":"Saeed, U., Arshad, M., Hayat, S., Morelli, T.L., and Nawaz, M.A., 2022, Analysis of provisioning ecosystem services and perceptions of climate change for indigenous communities in the Western Himalayan Gurez Valley, Pakistan: Ecosystem Services, v. 56, 101453, 12 p., https://doi.org/10.1016/j.ecoser.2022.101453.","productDescription":"101453, 12 p.","ipdsId":"IP-142004","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":410705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Pakistan","otherGeospatial":"Gurez Valley, Himalaya","geographicExtents":"{\n  \"type\": 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Shakeel","contributorId":300023,"corporation":false,"usgs":false,"family":"Hayat","given":"Shakeel","email":"","affiliations":[{"id":65002,"text":"Institute of Management Sciences","active":true,"usgs":false}],"preferred":false,"id":859281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":859282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nawaz, Muhammad Ali","contributorId":300024,"corporation":false,"usgs":false,"family":"Nawaz","given":"Muhammad","email":"","middleInitial":"Ali","affiliations":[{"id":65003,"text":"Department of Biological and Environmental Sciences, Qatar University","active":true,"usgs":false}],"preferred":false,"id":859283,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70239005,"text":"70239005 - 2022 - Volcano, earthquake, and tsunami hazards of the Cascadia Subduction Zone","interactions":[],"lastModifiedDate":"2022-12-20T14:12:08.240749","indexId":"70239005","displayToPublicDate":"2022-08-01T08:08:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"Volcano, earthquake, and tsunami hazards of the Cascadia Subduction Zone","docAbstract":"<p><span>Subduction zones produce some of Earth’s most devastating geological events. Recent eruptions of Mount St. Helens and great earthquakes and tsunamis in Japan and Sumatra provide stark examples of the destructive power of subduction-related hazards. In the Cascadia subduction zone, large earthquakes, tsunamis, and volcanic eruptions have occurred in the past and geologic records imply that these events will occur in the future. As the population and infrastructure increase in the region, resilience to these natural hazards requires a detailed scientific understanding of the geologic forces and processes involved, combined with a society motivated to mitigate risks.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/gselements.18.4.251","usgsCitation":"Westby, E.G., Meigs, A.J., and Goldfinger, C., 2022, Volcano, earthquake, and tsunami hazards of the Cascadia Subduction Zone: Elements, v. 18, no. 4, p. 251-256, https://doi.org/10.2138/gselements.18.4.251.","productDescription":"6 p.","startPage":"251","endPage":"256","ipdsId":"IP-140163","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":410795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.39974102578327,\n              48.661637439847425\n            ],\n            [\n              -128.38903776575108,\n              48.661637439847425\n            ],\n            [\n              -128.38903776575108,\n              38.3148639052869\n            ],\n            [\n              -121.39974102578327,\n              38.3148639052869\n            ],\n            [\n              -121.39974102578327,\n              48.661637439847425\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Westby, Elizabeth G. 0000-0003-3494-8353","orcid":"https://orcid.org/0000-0003-3494-8353","contributorId":214674,"corporation":false,"usgs":true,"family":"Westby","given":"Elizabeth","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":859663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meigs, Andrew J","contributorId":300037,"corporation":false,"usgs":false,"family":"Meigs","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":65004,"text":"College of Earth, Ocean and Atmospheric Sciences Oregon State University","active":true,"usgs":false}],"preferred":false,"id":859664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldfinger, Chris","contributorId":195634,"corporation":false,"usgs":false,"family":"Goldfinger","given":"Chris","email":"","affiliations":[],"preferred":false,"id":859665,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70234354,"text":"70234354 - 2022 - Rural turtles: Estimating the occupancy of Northwestern Pond Turtles and non-native red-eared sliders in agricultural habitats in California's Sacramento Valley and Sacramento-San Joaquin River Delta","interactions":[],"lastModifiedDate":"2022-08-09T12:19:57.100101","indexId":"70234354","displayToPublicDate":"2022-08-01T07:16:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2901,"text":"Northwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Rural turtles: Estimating the occupancy of Northwestern Pond Turtles and non-native red-eared sliders in agricultural habitats in California's Sacramento Valley and Sacramento-San Joaquin River Delta","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The Northwestern Pond Turtle (<i>Actinemys marmorata</i>; WPT) was once widespread throughout the Sacramento Valley and the Sacramento-San Joaquin River Delta. Much of its historical range has been converted into agricultural land, reducing and altering aquatic habitat and surrounding uplands. Red-eared Sliders (<i>Trachemys scripta elegans</i>; RES) have been introduced throughout much of the existing WPT range, particularly near urban centers, potentially competing with WPT for resources. Previous surveys for turtles in central California have primarily focused on rivers, lakes, and protected wetlands. Little is known about where WPT and RES occur in the vast expanses of agricultural land across the Sacramento Valley and Sacramento-San Joaquin River Delta. Using aquatic hoop nets, we surveyed 142 locations (102 irrigation canal sites, 39 wetlands, 1 tidally influenced slough) across 8 counties during the summers of 2018 and 2019. Both species were detected in agricultural habitats. Using occupancy modeling, we estimated that WPT occur at 44 (95% CRI = 38–53) of our trapping sites and RES occur at 51 (41–66) sampled sites. Co-occurrence of these 2 species was rare; the species were found together at only 6 sites. RES were primarily found in restored wetlands near major roads and the Sacramento metropolitan area, whereas WPT were more commonly found farther from urban areas in wider canals. Our work provides a picture of how WPT and RES occupy this modified agroecosystem that can inform future conservation efforts.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1898/NWN20-22","usgsCitation":"Rose, J.P., Halstead, B., and Fulton, A.M., 2022, Rural turtles: Estimating the occupancy of Northwestern Pond Turtles and non-native red-eared sliders in agricultural habitats in California's Sacramento Valley and Sacramento-San Joaquin River Delta: Northwestern Naturalist, v. 103, no. 2, p. 97-109, https://doi.org/10.1898/NWN20-22.","productDescription":"13 p.","startPage":"97","endPage":"109","ipdsId":"IP-120661","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":435751,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GF1HY3","text":"USGS data release","linkHelpText":"Data to Fit an Occupancy Model to Trapping Data for the Northwestern Pond Turtle and Red-Eared Slider in the Sacramento Valley (2018) and Sacramento-San Joaquin River Delta (2019)"},{"id":404992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley, Sacramento-San Joaquin River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.1240234375,\n              38.06539235133249\n            ],\n            [\n              -121.00341796874999,\n              38.06539235133249\n            ],\n            [\n              -121.00341796874999,\n              39.04478604850143\n            ],\n            [\n              -122.1240234375,\n              39.04478604850143\n            ],\n            [\n              -122.1240234375,\n              38.06539235133249\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"103","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fulton, Alexandria M. 0000-0002-1070-4605 afulton@usgs.gov","orcid":"https://orcid.org/0000-0002-1070-4605","contributorId":199343,"corporation":false,"usgs":true,"family":"Fulton","given":"Alexandria","email":"afulton@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":848639,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236608,"text":"70236608 - 2022 - Mississippian sedimentary facies patterns in east-central California and implications for development of the Permian last chance thrust","interactions":[],"lastModifiedDate":"2022-09-13T12:24:13.705877","indexId":"70236608","displayToPublicDate":"2022-08-01T07:16:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3842,"text":"SEPM Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"Mississippian sedimentary facies patterns in east-central California and implications for development of the Permian last chance thrust","docAbstract":"<p>Mississippian sedimentary facies belts in east-central California, occurring primarily in the autochthon (lower plate) of the Last Chance Thrust, are consistently oriented in a northeast–southwest direction. The boundary of one belt is marked by the depositional limit of the Osagean to Meramecian Santa Rosa Hills Limestone; a second belt farther to the northwest is bordered by the erosional truncation of the Kinderhookian to Osagean Tin Mountain Limestone. Two additional facies belts, both in the Meramecian to Chesterian Kearsarge Formation, also are present in the area; one near Jackass Flats is marked by the presence of limestone and quartzite olistoliths, and...</p>","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/sepmsp.113.01","usgsCitation":"Stevens, C.H., and Stone, P., 2022, Mississippian sedimentary facies patterns in east-central California and implications for development of the Permian last chance thrust: SEPM Special Publication, v. 113, p. 72-86, https://doi.org/10.2110/sepmsp.113.01.","productDescription":"15 p.","startPage":"72","endPage":"86","ipdsId":"IP-094744","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":406589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":181921,"corporation":false,"usgs":false,"family":"Stevens","given":"Calvin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":851497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":851498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70236610,"text":"70236610 - 2022 - Evolution of the last chance thrust concept","interactions":[],"lastModifiedDate":"2022-09-13T12:14:29.8582","indexId":"70236610","displayToPublicDate":"2022-08-01T07:11:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3842,"text":"SEPM Special Publication","active":true,"publicationSubtype":{"id":10}},"title":"Evolution of the last chance thrust concept","docAbstract":"<p>The concept of the Permian Last Chance Thrust has passed through many stages. Here we point out which critical observations have led to changes in the way this important feature has been interpreted.</p>","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/sepmsp.113.09","usgsCitation":"Stevens, C.H., and Stone, P., 2022, Evolution of the last chance thrust concept: SEPM Special Publication, v. 113, p. 87-88, https://doi.org/10.2110/sepmsp.113.09.","productDescription":"2 p.","startPage":"87","endPage":"88","ipdsId":"IP-114605","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":406588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"113","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Calvin H.","contributorId":181921,"corporation":false,"usgs":false,"family":"Stevens","given":"Calvin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":851499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stone, Paul 0000-0002-1439-0156 pastone@usgs.gov","orcid":"https://orcid.org/0000-0002-1439-0156","contributorId":273,"corporation":false,"usgs":true,"family":"Stone","given":"Paul","email":"pastone@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":851500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274310,"text":"70274310 - 2022 - The nature of active magma reservoirs and storage underneath Cascade volcanoes","interactions":[],"lastModifiedDate":"2026-03-26T16:39:30.058772","indexId":"70274310","displayToPublicDate":"2022-08-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"The nature of active magma reservoirs and storage underneath Cascade volcanoes","docAbstract":"Volcanic activity is dictated by crustal pathways and reservoirs through which magma ascends and collects. The Cascades are a natural laboratory to study the variable influence of the crust on erupted magmas and subterranean reservoirs. The interaction of ascending magmas with the variable subduction geometry and tectonics of the overriding North American plate have given rise to a diversity of magmatic storage conditions. The confluence of geochemical and geophysical investigations emphasizes that most magmatic systems in the Cascades have been built at multiple levels in the crust as determined by tectonics, pre-existing structure, and magmatic flux from the mantle.","language":"English","publisher":"GeoScienceWorld","doi":"10.2138/gselements.18.4.239","usgsCitation":"Dufek, J., Cashman, K., Hooft, E., and Bedrosian, P.A., 2022, The nature of active magma reservoirs and storage underneath Cascade volcanoes: Elements, v. 18, no. 4, p. 239-245, https://doi.org/10.2138/gselements.18.4.239.","productDescription":"7 p.","startPage":"239","endPage":"245","ipdsId":"IP-141599","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.83367424102894,\n              51.381169950988266\n            ],\n            [\n              -121.4880004899886,\n              47.95322372435855\n            ],\n            [\n              -123.46119203350655,\n              45.01233140349254\n            ],\n            [\n              -123.70800392479427,\n              43.646498231015876\n            ],\n            [\n              -122.80098304392898,\n              39.04378758376008\n            ],\n            [\n              -121.53855536206957,\n              39.14721863366012\n            ],\n            [\n              -121.66650155585981,\n              43.733012659252594\n            ],\n            [\n              -120.4702535683843,\n              48.24183736146284\n            ],\n            [\n              -122.48206014939899,\n              51.32631535095197\n            ],\n            [\n              -124.83367424102894,\n              51.381169950988266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dufek, Josef","contributorId":365194,"corporation":false,"usgs":false,"family":"Dufek","given":"Josef","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":957830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Kathy","contributorId":304522,"corporation":false,"usgs":false,"family":"Cashman","given":"Kathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":957831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooft, Emily","contributorId":367862,"corporation":false,"usgs":false,"family":"Hooft","given":"Emily","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":957832,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957833,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237178,"text":"70237178 - 2022 - Recommendations regarding water level management to achieve ecological goals in the Upper Mississippi River System","interactions":[],"lastModifiedDate":"2022-10-04T14:12:57.397616","indexId":"70237178","displayToPublicDate":"2022-07-31T09:05:39","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Recommendations regarding water level management to achieve ecological goals in the Upper Mississippi River System","docAbstract":"<p>The Water Level Management Regional Coordinating Committee tasked an ad hoc group to employ structured decision making (SDM) practices to reach partnership agreement around a set of basic recommendations as to when, where, and why WLM should be used as an ecosystem restoration tool in the UMRS. Between April 2021 and August 2021, the Upper Mississippi River Basin Association (UMRBA; www.umrba.org) hosted a series of six virtual meetings for the ad hoc group to evaluate the issues, explore agency perspectives, and develop shared recommendations for WLM implementation. This report describes the process and outcomes of the SDM exercise. </p>","language":"English","publisher":"Upper Mississippi River Basin Association","usgsCitation":"Heglund, P., Salvato, L., Larson, D.M., and McFarlane, A., 2022, Recommendations regarding water level management to achieve ecological goals in the Upper Mississippi River System, 37 p.","productDescription":"37 p.","ipdsId":"IP-132947","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":407859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":407835,"type":{"id":15,"text":"Index Page"},"url":"https://umrba.org/document/umrba-2022-water-level-management-priority-actions"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"upper Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.20898437499999,\n              36.98500309285596\n            ],\n            [\n              -87.73681640625,\n              41.02964338716638\n            ],\n            [\n              -87.71484375,\n              41.83682786072714\n            ],\n            [\n              -88.330078125,\n              43.213183300738876\n            ],\n            [\n              -89.23095703125,\n              43.37311218382002\n            ],\n            [\n              -89.05517578125,\n              45.5679096098613\n            ],\n            [\n              -88.92333984375,\n              45.920587344733654\n            ],\n            [\n              -89.2529296875,\n              46.13417004624326\n            ],\n            [\n              -92.5048828125,\n              46.17983040759436\n            ],\n            [\n              -93.779296875,\n              47.54687159892238\n            ],\n            [\n              -94.0869140625,\n              47.87214396888731\n            ],\n            [\n              -95.8447265625,\n              47.635783590864854\n            ],\n            [\n              -96.6796875,\n              46.36209301204985\n            ],\n            [\n              -96.7236328125,\n              45.27488643704891\n            ],\n            [\n              -94.6142578125,\n              41.86956082699455\n            ],\n            [\n              -93.01025390625,\n              41.19518982948959\n            ],\n            [\n              -91.8017578125,\n              39.554883059924016\n            ],\n            [\n              -90.1318359375,\n              38.94232097947902\n            ],\n            [\n              -91.12060546875,\n              38.22091976683121\n            ],\n            [\n              -89.20898437499999,\n              36.98500309285596\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Heglund, Patricia J.","contributorId":141128,"corporation":false,"usgs":false,"family":"Heglund","given":"Patricia J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":853564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salvato, Lauren","contributorId":297158,"corporation":false,"usgs":false,"family":"Salvato","given":"Lauren","email":"","affiliations":[{"id":64302,"text":"Upper Mississippi River Basin Association","active":true,"usgs":false}],"preferred":false,"id":853565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":853567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McFarlane, Aaron","contributorId":297159,"corporation":false,"usgs":false,"family":"McFarlane","given":"Aaron","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":853566,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70235883,"text":"70235883 - 2022 - Special issue: Landsat update 50th anniversary","interactions":[],"lastModifiedDate":"2022-08-24T12:06:11.49232","indexId":"70235883","displayToPublicDate":"2022-07-31T07:05:51","publicationYear":"2022","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"Special issue: Landsat update 50th anniversary","docAbstract":"Landsat Updates are prepared periodically and distributed electronically to provide information about Landsat activities and related topics of interest. This update highlights some of the articles and media that the USGS has developed over the last few months as well as upcoming events.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Lloyd, A., 2022, Special issue: Landsat update 50th anniversary, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-143028","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":405530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405518,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/landsat-missions/news/special-issue-landsat-update-50th-anniversary"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lloyd, Andrea 0000-0003-1396-7379","orcid":"https://orcid.org/0000-0003-1396-7379","contributorId":290504,"corporation":false,"usgs":false,"family":"Lloyd","given":"Andrea","email":"","affiliations":[{"id":62443,"text":"C2G, Inc., contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":849611,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70235874,"text":"70235874 - 2022 - Ground water quality sub-indicator report","interactions":[],"lastModifiedDate":"2022-08-24T12:04:04.685449","indexId":"70235874","displayToPublicDate":"2022-07-30T07:01:53","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Ground Water Quality Sub-Indicator Report","title":"Ground water quality sub-indicator report","docAbstract":"The overall status of groundwater quality in the Great Lakes Basin is assessed as “Good” (Figure 1). For the assessed fraction of the basin (84% of the total area), the groundwater quality is “Good” in 58% of the area, “Fair” in 41% of the area, and “Poor” in 1% of the area, resulting in an overall assessment of “Good”.  The portions of the basin that have insufficient data (16% percent of the total Basin area; e.g., the northern portion of the Lake Superior basin) are not assessed, and their indicator status is classified as “Undetermined” (see Basin-by-Basin Assessments below). The overall trend in groundwater quality in the basin is “Undetermined” primarily due to a lack of repeated sampling for most sites: most sites have only one sample result. However, increasing (upward) trends in chloride and nitrate concentrations in groundwater have been reported for various watersheds within the basin.\n\nThe overall status of groundwater quality has changed from “Fair” in the previous report (2019) to “Good” in this report, which is attributed to the improved geospatial data coverage. Across the basin, the number of sites with available sample data and the spatial distribution of sites increased substantially for this assessment (670 data points in 2019 versus 6,554 in 2022). Although not all newly added samples were collected since the last report, the data were not available for the previous assessment.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"State of the Great Lakes 2022 Technical Report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Environment and Climate Change Canada, U.S. Environmental Protection Agency","collaboration":"U.S. Environmental Protection Agency, Environment Canada","usgsCitation":"Zhang, H., Erickson, M., VanStempvoort, D., Zhang, G., and Spoelstra, J., 2022, Ground water quality sub-indicator report, 37 p.","productDescription":"37 p.","startPage":"673","endPage":"709","ipdsId":"IP-142255","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":405529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405513,"type":{"id":15,"text":"Index Page"},"url":"https://binational.net/2022/07/29/sogl-edgl-2022/"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.251953125,\n              40.58058466412761\n            ],\n            [\n              -75.05859375,\n              40.58058466412761\n            ],\n            [\n              -75.05859375,\n              49.66762782262194\n            ],\n            [\n              -93.251953125,\n              49.66762782262194\n            ],\n            [\n              -93.251953125,\n              40.58058466412761\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Helen","contributorId":295491,"corporation":false,"usgs":false,"family":"Zhang","given":"Helen","email":"","affiliations":[{"id":63895,"text":"Ontario Ministry of the Environment","active":true,"usgs":false}],"preferred":false,"id":849589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":849592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanStempvoort, Dale","contributorId":295492,"corporation":false,"usgs":false,"family":"VanStempvoort","given":"Dale","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":849590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, George","contributorId":200562,"corporation":false,"usgs":false,"family":"Zhang","given":"George","email":"","affiliations":[],"preferred":false,"id":849593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spoelstra, John","contributorId":200563,"corporation":false,"usgs":false,"family":"Spoelstra","given":"John","email":"","affiliations":[],"preferred":false,"id":849591,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70232598,"text":"ofr20221030 - 2022 - Mapping structural control through analysis of land-surface deformation for the Rialto-Colton groundwater subbasin, San Bernardino County, California, 1992–2010","interactions":[],"lastModifiedDate":"2026-03-27T20:06:42.204886","indexId":"ofr20221030","displayToPublicDate":"2022-07-29T10:58:41","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1030","displayTitle":"Mapping Structural Control Through Analysis of Land-Surface Deformation for the Rialto-Colton Groundwater Subbasin, San Bernardino County, California, 1992–2010","title":"Mapping structural control through analysis of land-surface deformation for the Rialto-Colton groundwater subbasin, San Bernardino County, California, 1992–2010","docAbstract":"<p>The locations of many faults in and near the Rialto-Colton groundwater subbasin are not precisely known because the spatial density of existing lithologic and hydrologic data used to infer the locations of faults can be sparse. The U.S. Geological Survey, in cooperation with the San Bernardino Valley Municipal Water District, analyzed structural control of groundwater flow in and near the Rialto-Colton groundwater subbasin using Interferometric Synthetic Aperture Radar (InSAR) methods. Faults commonly are barriers to groundwater flow, and the high spatial resolution of InSAR imagery can be used to infer the locations of buried faults where groundwater pumping occurs. InSAR results have revealed three areas in and near the Rialto-Colton groundwater subbasin where buried faults are interpreted as groundwater-flow barriers: the northwestern area about 3 miles northwest of the City of Rialto, the San Jacinto fault area west of the City of San Bernardino, and the southeastern area about 2 miles southeast of the City of Colton. The InSAR results were combined with knowledge gained from previous studies to better define the location and extent of faults acting as groundwater-flow barriers. New data about faults acting as groundwater-flow barriers can be incorporated into future conceptual and hydrologic models of the Rialto-Colton groundwater subbasin and provide water managers information to help effectively manage groundwater resources.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221030","collaboration":"Prepared in cooperation with the San Bernardino Valley Municipal Water District","programNote":"Water Availability and Use Science Program","usgsCitation":"Brandt, J.T., 2022, Mapping structural control through analysis of land-surface deformation for the Rialto-Colton groundwater subbasin, San Bernardino County, California, 1992–2010: U.S. Geological Survey Open-File Report 2022–1030, 11 p., https://doi.org/10.3133/ofr20221030.","productDescription":"Report: vi, 11 p.; Data Release","numberOfPages":"11","onlineOnly":"Y","ipdsId":"IP-084965","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501769,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113347.htm","linkFileType":{"id":5,"text":"html"}},{"id":403230,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1030/images"},{"id":403228,"rank":1,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1030/ofr20221030.xml"},{"id":403229,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1030/ofr20221030.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":403232,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"Data release","description":"U.S. Geological Survey, 2014, Web interface: U.S. Geological Survey National Water Information System web page, accessed June 11, 2014, at https://doi.org/10.5066/F7P55KJN.","linkHelpText":"Web interface: U.S. Geological Survey National Water Information System web page"},{"id":404520,"rank":5,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1030/covrthb.jpg"},{"id":404546,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221030/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1030"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Rialto-Colton groundwater subbasin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.51319885253905,\n              34.01851844336969\n            ],\n            [\n              -117.2138214111328,\n              34.01851844336969\n            ],\n            [\n              -117.2138214111328,\n              34.19362958613085\n            ],\n            [\n              -117.51319885253905,\n              34.19362958613085\n            ],\n            [\n              -117.51319885253905,\n              34.01851844336969\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract&nbsp;</li><li>Introduction&nbsp;</li><li>Geohydrologic Setting&nbsp;</li><li>Interferometric Synthetic Aperture Radar&nbsp;</li><li>Mapping Structural Control of Groundwater Flow&nbsp;</li><li>Identification of Lineaments in Interferograms&nbsp;</li><li>Differentiating Pumping-Induced Deformation from Tectonic Deformation&nbsp;</li><li>Correlation of Changes in Pumping, Groundwater Levels, and Deformation&nbsp;</li><li>Summary&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-07-29","noUsgsAuthors":false,"publicationDate":"2022-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandt, Justin T. 0000-0002-9397-6824 jbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-9397-6824","contributorId":157,"corporation":false,"usgs":true,"family":"Brandt","given":"Justin","email":"jbrandt@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846040,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262393,"text":"70262393 - 2022 - Volcanic electrification: Recent advances and future perspectives","interactions":[],"lastModifiedDate":"2025-01-16T16:22:03.281729","indexId":"70262393","displayToPublicDate":"2022-07-29T10:19:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic electrification: Recent advances and future perspectives","docAbstract":"<p><span>The electrification of volcanic plumes has been described intermittently since at least the time of Pliny the Younger and the 79 AD eruption of Vesuvius. Although sometimes disregarded in the past as secondary effects, recent work suggests that the electrical properties of volcanic plumes reveal intrinsic and otherwise inaccessible parameters of explosive eruptions. An increasing number of volcanic lightning studies across the last decade have shown that electrification is ubiquitous in volcanic plumes. Technological advances in engineering and numerical modelling, paired with close observation of recent eruptions and dedicated laboratory studies (shock-tube and current impulse experiments), show that charge generation and electrical activity are related to the physical, chemical, and dynamic processes underpinning the eruption itself. Refining our understanding of volcanic plume electrification will continue advancing the fundamental understanding of eruptive processes to improve volcano monitoring. Realizing this goal, however, requires an interdisciplinary approach at the intersection of volcanology, atmospheric science, atmospheric electricity, and engineering. Our paper summarizes the rapid and steady progress achieved in recent volcanic lightning research and provides a vision for future developments in this growing field.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01591-3","usgsCitation":"Cimarelli, C., Behnke, S., Genareau, K., Méndez Harper, J., and Van Eaton, A.R., 2022, Volcanic electrification: Recent advances and future perspectives: Bulletin of Volcanology, v. 84, 78, 10 p., https://doi.org/10.1007/s00445-022-01591-3.","productDescription":"78, 10 p.","ipdsId":"IP-139794","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01591-3","text":"Publisher Index Page"},{"id":466638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","noUsgsAuthors":false,"publicationDate":"2022-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Cimarelli, Corrado","contributorId":257017,"corporation":false,"usgs":false,"family":"Cimarelli","given":"Corrado","affiliations":[{"id":47800,"text":"Ludwig Maximilian University of Munich","active":true,"usgs":false}],"preferred":false,"id":924031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behnke, Sonja A","contributorId":184085,"corporation":false,"usgs":false,"family":"Behnke","given":"Sonja A","affiliations":[],"preferred":false,"id":924032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genareau, Kimberly","contributorId":345648,"corporation":false,"usgs":false,"family":"Genareau","given":"Kimberly","affiliations":[{"id":82675,"text":"The University of Alabama, Tuscaloosa, AL","active":true,"usgs":false}],"preferred":false,"id":924033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Méndez Harper, Joshua","contributorId":349123,"corporation":false,"usgs":false,"family":"Méndez Harper","given":"Joshua","affiliations":[{"id":83438,"text":"University of Oregon, Eugene, USA","active":true,"usgs":false}],"preferred":false,"id":924034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241603,"text":"70241603 - 2022 - Subindicator: Native Prey Fish Diversity","interactions":[],"lastModifiedDate":"2023-03-24T15:24:37.480213","indexId":"70241603","displayToPublicDate":"2022-07-29T10:16:43","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Subindicator: Native Prey Fish Diversity","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"State of the Great Lakes 2022: Technical report","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Environment and Climate Change Canada and U.S. Environmental Protection Agency","usgsCitation":"Weidel, B., Vinson, M., Hondorp, D.W., Tingley, R.W., and Schmitt, J., 2022, Subindicator: Native Prey Fish Diversity, 17 p.","productDescription":"17 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,{"id":70236818,"text":"70236818 - 2022 - Seismic monitoring solutions for buildings","interactions":[],"lastModifiedDate":"2022-09-19T14:57:54.14444","indexId":"70236818","displayToPublicDate":"2022-07-29T09:50:35","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Seismic monitoring solutions for buildings","docAbstract":"<p><span>This chapter introduces seismic monitoring of structural systems for buildings and begins with a historical background of this topic in the United States. After providing the historical context, the chapter reviews common seismic instrumentation issues such as utilization of data, code versus extensive instrumentation, free-field instrumentation, record synchronization requirements and more. Recent developments in damage detection is examined including damage detection based on changes in natural frequencies, permanent deformations, and interstory drift. Finally, applications in Europe, the Middle East, and Japan of seismic monitoring of structural systems for buildings are discussed.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sensor technologies for civil infrastructures: Applications in structural health monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-08-102706-6.00004-0","usgsCitation":"Celebi, M., and Kaya, Y., 2022, Seismic monitoring solutions for buildings, chap. 3 <i>of</i> Sensor technologies for civil infrastructures: Applications in structural health monitoring, v. 2, p. 63-101, https://doi.org/10.1016/B978-0-08-102706-6.00004-0.","productDescription":"39 p.","startPage":"63","endPage":"101","ipdsId":"IP-113785","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":406964,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":852254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaya, Yavuz","contributorId":296700,"corporation":false,"usgs":false,"family":"Kaya","given":"Yavuz","email":"","affiliations":[{"id":64148,"text":"BC Ministry of Transportation and Infrastructure","active":true,"usgs":false}],"preferred":false,"id":852255,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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