{"pageNumber":"197","pageRowStart":"4900","pageSize":"25","recordCount":165901,"records":[{"id":70261324,"text":"70261324 - 2024 - Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","interactions":[],"lastModifiedDate":"2024-12-05T15:54:04.297803","indexId":"70261324","displayToPublicDate":"2024-03-23T09:50:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi","docAbstract":"<p><span>The spread of ecosystem modifying invasive plant (EMIP) species is one of the largest threats to native ecosystems in Hawaiʻi. However, differences in niche characteristics between Hawaiʻi’s isolated insular environment and the wider global distribution of these species have not been carefully examined. We used species distribution modeling (SDM) methods to assess similarities and differences in niche characteristics between global and regional scales for 17 EMIPs present in Hawaiʻi. With a clearer understanding of the global context of regional plant invasion, we combined two SDM methods to better understand the potential future regional spread: (1) a nested modeling approach to integrate global and regional invasive species distribution projections; and (2) integrating all available agency and citizen science data to minimize the effect of monitoring gaps and biases. Our results show there are multiple similarities in niche characteristics across regional and global scales for most species, such as similar sets of climatic determinants of distribution, similar responses along environmental gradients, and moderate to high niche overlap between global and regional models. However, some differences were apparent and likely due to several factors including incomplete regional spread, community assembly or diversity effects. Invaders that established earlier showed a higher degree of niche overlap and similar environmental gradient responses when comparing global and regional models. This pattern, coupled with the tendency for regionally-based projections to predict narrower distributions than global projections, indicates a potential for continued spread of several invasive species across the Hawaiian landscape. Our study has broader implications for understanding the distribution and spread of invasive species in other regions, as similar analyses and models, including a novel way to characterize environmental gradient response differences across regions or scales, can likely provide valuable information for conservation and management efforts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03284-8","usgsCitation":"Fortini, L., Kaiser, L.R., Daehler, C., Jacobi, J.D., Dimson, M., and Gillespie, T., 2024, Exploring and integrating differences in niche characteristics across regional and global scales to better understand plant invasions in Hawaiʻi: Biological Invasions, v. 26, p. 1827-1843, https://doi.org/10.1007/s10530-024-03284-8.","productDescription":"17 p.","startPage":"1827","endPage":"1843","ipdsId":"IP-154054","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":464808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Mānoa","active":true,"usgs":false}],"preferred":false,"id":920386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":920387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dimson, Monica","contributorId":304630,"corporation":false,"usgs":false,"family":"Dimson","given":"Monica","email":"","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":920388,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gillespie, Thomas W","contributorId":304639,"corporation":false,"usgs":false,"family":"Gillespie","given":"Thomas W","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":920389,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272675,"text":"70272675 - 2024 - 7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services","interactions":[],"lastModifiedDate":"2025-12-04T14:32:17.5883","indexId":"70272675","displayToPublicDate":"2024-03-22T16:17:22","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services","docAbstract":"<p>Estuarine and coastal ecosystems support human populations in myriad ways. Traditionally, researchers have focused on the biophysical processes that underlie these benefits and their economic values. In the decade since the 1st Treatise, the literature on cultural ecosystem services, human health benefits, and the equitable distribution of societal benefits and burdens has grown tremendously. In this chapter we outline three dimensions of equity as they relate to estuarine and coastal ecosystems: procedural, recognitional, and distributional equity. We then apply the dimensions of equity to a suite of provisioning, regulating, and cultural ecosystem services. Finally, we explore trade-offs and beneficiaries of these ecosystem services using three case studies that consider equity in a variety of estuarine and coastal management decisions.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Treatise on estuarine and coastal science (second edition), volume 7: Management, governance and socio-economics","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1016/B978-0-323-90798-9.00106-2","usgsCitation":"Arkema, K.K., Cunningham, S.K., Delevaux, J.M., Balderas Guzmán, C., Klain, S., Lamb, J.B., Nelson, L.K., Scyphers, S.B., Stewart, H., and Sutton-Grier, A.E., 2024, 7.10 - Beneficiaries, equity, and trade-offs in estuarine and coastal ecosystem services, chap. <i>of</i> Treatise on estuarine and coastal science (second edition), volume 7: Management, governance and socio-economics, v. 7, p. 208-237, https://doi.org/10.1016/B978-0-323-90798-9.00106-2.","productDescription":"30 p.","startPage":"208","endPage":"237","ipdsId":"IP-159237","costCenters":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"links":[{"id":497028,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","edition":"Second Edition","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Arkema, Katie K.","contributorId":191584,"corporation":false,"usgs":false,"family":"Arkema","given":"Katie","middleInitial":"K.","affiliations":[],"preferred":false,"id":951283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Samantha K.","contributorId":363210,"corporation":false,"usgs":false,"family":"Cunningham","given":"Samantha","middleInitial":"K.","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":951284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delevaux, Jade M.S.","contributorId":363211,"corporation":false,"usgs":false,"family":"Delevaux","given":"Jade","middleInitial":"M.S.","affiliations":[{"id":86655,"text":"Seascape Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":951285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balderas Guzmán, Celina","contributorId":363212,"corporation":false,"usgs":false,"family":"Balderas Guzmán","given":"Celina","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":951286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klain, Sarah","contributorId":363213,"corporation":false,"usgs":false,"family":"Klain","given":"Sarah","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":951287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamb, Joleah B.","contributorId":363214,"corporation":false,"usgs":false,"family":"Lamb","given":"Joleah","middleInitial":"B.","affiliations":[{"id":34134,"text":"UC Irvine","active":true,"usgs":false}],"preferred":false,"id":951288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Laura K.","contributorId":363215,"corporation":false,"usgs":false,"family":"Nelson","given":"Laura","middleInitial":"K.","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":951289,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scyphers, Steven B.","contributorId":274810,"corporation":false,"usgs":false,"family":"Scyphers","given":"Steven","middleInitial":"B.","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":951290,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, Heidi","contributorId":363216,"corporation":false,"usgs":false,"family":"Stewart","given":"Heidi","affiliations":[{"id":86656,"text":"Tualip Tribe","active":true,"usgs":false}],"preferred":false,"id":951291,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sutton-Grier, Ariana Eileen 0000-0002-1242-7728","orcid":"https://orcid.org/0000-0002-1242-7728","contributorId":346295,"corporation":false,"usgs":true,"family":"Sutton-Grier","given":"Ariana","email":"","middleInitial":"Eileen","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true}],"preferred":true,"id":951292,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70252341,"text":"ofr20241018 - 2024 - Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","interactions":[],"lastModifiedDate":"2024-03-26T16:43:36.240165","indexId":"ofr20241018","displayToPublicDate":"2024-03-22T13:06:41","publicationYear":"2024","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":"2024-1018","displayTitle":"Greater Sage-Grouse Habitat of Nevada and Northeastern California—Integrating Space Use, Habitat Selection, and Survival Indices to Guide Areas for Habitat Management","title":"Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management","docAbstract":"<h1>Executive Summary</h1><p>Greater sage-grouse populations (<i>Centrocercus urophasianus</i>; hereafter sage-grouse) are threatened by a suite of disturbances and anthropogenic factors that have contributed to a net loss of sagebrush-dominant shrub cover in recent decades. Declines in sage-grouse populations are largely linked to habitat loss across their range. A key component of conservation and land use planning efforts for sage-grouse involves the continued monitoring and modeling of habitat requirements and suitability across its range. The Bureau of Land Management (BLM) is addressing the management of sage-grouse habitats on BLM-authorized public lands throughout the western United States through a land use planning amendment and associated environmental impact statement (86 FR 66331). More than 25 percent of the range-wide distribution of sage-grouse is within Nevada and northeastern California, and information on sage-grouse distribution and habitat requirements is important to guide appropriate management decisions. Therefore, the BLM has identified the need for updated spatially explicit information on sage-grouse habitat in Nevada and northeastern California to guide the land use planning amendment and associated management decisions.</p><p>To address this need, researchers with the U.S. Geological Survey, in close cooperation with multiple State and Federal resource agency partners, including BLM, Nevada Department of Wildlife (NDOW) and California Department of Fish and Wildlife (CDFW), sought to map sage-grouse distribution and produce example habitat designations in these states. Herein, we report results of our primary study objective, which was to map sage-grouse habitat and create example habitat management areas, based on more than a decade of location and survival data collected from marked sage-grouse across the study region coupled with lek count survey data managed by the NDOW and the CDFW.</p><p>We expanded on previously developed methodology to incorporate information on habitat selection and survival during reproductive life stages and specific seasons with updated sage-grouse location and known fate datasets, while also including brood-rearing areas that are understood to be threatened and important for population persistence. We combined predictive habitat map surfaces for each life stage and season with updated information on current occupancy patterns to classify habitat based on its suitability and probability of occupancy. We carried out additional steps to delineate specific example habitat management areas, specifically (1) incorporated corridors connecting key nesting and brood-rearing habitat, (2) corrected outputs for pre-wildfire habitat conditions within areas burned in the last 16 years, and (3) masked out areas of anthropogenic development. Our methodological example of deriving habitat management areas was intended to help inform decisions by BLM and other land managers regarding conservation and management of sage-grouse. Associated data products in the form of habitat maps provide updated, detailed, and comprehensive information about the status of habitats and can be useful to partner agencies in their efforts to designate and rank habitats for this species of high conservation concern in Nevada and California, with full recognition that on-the-ground field data and local sources of information and expertise should be used in conjunction with inferences from these models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241018","collaboration":"Prepared in cooperation with the Bureau of Land Management, Nevada Department of Wildlife, and California Department of Fish and Wildlife","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Milligan, M.C., Coates, P.S., O’Neil, S.T., Brussee, B.E., Chenaille, M.P., Friend, D., Steele, K., Small, J.R., Bowden, T.S., Kosic, A.D., and Miller, K., 2024, Greater sage-grouse habitat of Nevada and northeastern California—Integrating space use, habitat selection, and survival indices to guide areas for habitat management: U.S. Geological Survey Open-File Report 2024–1018, 70 p., https://doi.org/10.3133/ofr20241018.","productDescription":"Report: viii, 70 p.: Data Release","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-157608","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":427111,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241018/full"},{"id":426917,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P933VE6W","text":"USGS Data Release","description":"Coates, P.S., Milligan, M.C., O’Neil, S.T., Brussee, B.E., and Chenaille, M.P., 2024, Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management: U.S. Geological Survey data release, https://doi.org/10.5066/P933VE6W.","linkHelpText":"Rasters representing Greater sage-grouse space use, habitat selection, and survival to inform habitat management"},{"id":426916,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1018/images"},{"id":426914,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.xml"},{"id":426913,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1018/ofr20241018.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1018/covrthb.jpg"}],"country":"United States","state":"California, Idaho, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114,\n              43\n            ],\n            [\n              -121,\n              43\n            ],\n            [\n              -121,\n              38\n            ],\n            [\n              -114,\n              38\n            ],\n            [\n              -114,\n              43\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgements</li><li>Executive Summary</li><li>Background</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Interpretation and Synthesis</li><li>References Cited</li><li>Appendix 1. Model Specifications for Habitat Selection Models</li><li>Appendix 2. Model Specifications for Survival Models</li><li>Appendix 3. Review and Revision Process</li><li>Appendix 4. Results of Variable Reduction Analyses</li><li>&nbsp;Appendix 5. Mapping Habitat Suitability with the Abundance and Space Use Index</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-03-22","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Milligan, Megan C. 0000-0001-8466-7803","orcid":"https://orcid.org/0000-0001-8466-7803","contributorId":296042,"corporation":false,"usgs":true,"family":"Milligan","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":897126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friend, Derek 0000-0002-6909-8769","orcid":"https://orcid.org/0000-0002-6909-8769","contributorId":255288,"corporation":false,"usgs":false,"family":"Friend","given":"Derek","email":"","affiliations":[{"id":51512,"text":"Department of Geography, University of Nevada, Reno, 1664 N Virginia St, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":true,"id":897130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Steele, Kathleen","contributorId":334965,"corporation":false,"usgs":false,"family":"Steele","given":"Kathleen","email":"","affiliations":[{"id":17737,"text":"Nevada Sagebrush Ecosystem Program; Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":true,"id":897131,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Small, Justin R.","contributorId":78146,"corporation":false,"usgs":false,"family":"Small","given":"Justin","email":"","middleInitial":"R.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":true,"id":897132,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowden, Timothy S.","contributorId":334966,"corporation":false,"usgs":false,"family":"Bowden","given":"Timothy","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":897133,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kosic, Arlene D.","contributorId":334967,"corporation":false,"usgs":false,"family":"Kosic","given":"Arlene","email":"","middleInitial":"D.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":897134,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miller, Katherine","contributorId":259248,"corporation":false,"usgs":false,"family":"Miller","given":"Katherine","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":true,"id":897135,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70256404,"text":"70256404 - 2024 - The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes","interactions":[],"lastModifiedDate":"2024-08-01T15:19:23.908763","indexId":"70256404","displayToPublicDate":"2024-03-22T10:19:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes","docAbstract":"<p><span>Nearly one in five reptile species is at risk of extinction. Changes in habitat area, its configuration, and vegetation diversity could affect habitat use, but their relative importance is understudied. We assessed how these factors affected reptile presence in agricultural landscapes figure in Iowa, United States, using 695 cover boards visited 16,441 times in 2015–2020. Species-wise encounter rates ranged 0.0001–0.012. Eight of 11 species and 54.2% of individuals were species of greatest conservation need. Habitat area, configuration, and vegetation diversity influenced reptile presence similarly. Mean patch occupancy was 0.18 for common garter snake (CG,&nbsp;</span><i>Thamnophis sirtalis</i><span>) and 0.45 for all snakes (AS). Naïve presence was explained by effort (odds ratio [OR]</span><sub>AS</sub><span> = 1.83, OR</span><sub>CG</sub><span> = 1.79), vegetation diversity (OR</span><sub>AS</sub><span> = 1.28, OR</span><sub>CG</sub><span> = 1.28), woody cover (OR</span><sub>AS</sub><span> = 1.24, OR</span><sub>CG</sub><span> = 1.41), and patch size (OR</span><sub>AS</sub><span> = 1.30). Large patch prairies were more likely to contain snakes than other conservation practices (</span>\uD835\uDC5F̂<sub>encounter</sub><span> = 0.291), and more likely to contain CG (0.098) than prairie contour strips (0.031), waterways (0.018), grass contour strips (0.016), or terraces (0.015). While we documented low overall reptile presence, their higher presence in large prairie patches underscores the importance of core nature reserves for reptile conservation.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13100","usgsCitation":"Stephenson, M.D., Schulte, L.A., and Klaver, R.W., 2024, The relative contributions of habitat area, configuration, and vegetative diversity on snake and lizard presence in agricultural landscapes: Conservation Science and Practice, v. 6, no. 4, e13100, 16 p., https://doi.org/10.1111/csp2.13100.","productDescription":"e13100, 16 p.","ipdsId":"IP-152690","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13100","text":"Publisher Index Page"},{"id":432033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.22124038615748,\n              42.82477121925069\n            ],\n            [\n              -95.22124038615748,\n              41.12043796716799\n            ],\n            [\n              -91.13952782789761,\n              41.12043796716799\n            ],\n            [\n              -91.13952782789761,\n              42.82477121925069\n            ],\n            [\n              -95.22124038615748,\n              42.82477121925069\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Matthew D.","contributorId":274318,"corporation":false,"usgs":false,"family":"Stephenson","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulte, Lisa A.","contributorId":274319,"corporation":false,"usgs":false,"family":"Schulte","given":"Lisa","email":"","middleInitial":"A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":907270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257194,"text":"70257194 - 2024 - Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","interactions":[],"lastModifiedDate":"2024-08-13T15:19:28.725216","indexId":"70257194","displayToPublicDate":"2024-03-22T10:12:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures","docAbstract":"<p><span>Freshwater mussels provide invaluable ecological services but are threatened by habitat alteration, poor water quality, invasive species, climate change, and contaminants, including contaminants of emerging concern (CECs). Contaminants of emerging concerns are well documented in aquatic environments, including the Great Lakes Basin, but limited information is available on how environmentally relevant mixtures affect freshwater mussel biology throughout their varied life stages. Our main goal was to assess mussels' reproductive output in response to exposure to agricultural and urban CEC mixtures during glochidial development through juvenile transformation and excystment focusing on how exposure duration and treatment affect: (1) the number of glochidia prematurely released by brooding females, (2) glochidial transformation through host-fish excystment, and (3) the number of fully metamorphosed juveniles able to continue the lifecycle. Mussels and host fish were exposed to either a control water (CW), control ethanol (CE), agriculture CEC mixture (AM), or urban CEC mixture (UM) for 40 and 100 days. We found no effect from treatment or exposure duration on the number of glochidia prematurely released. Fewer partially and fully metamorphosed AM juveniles were observed during the 100-day exposure, compared with the 40-day. During the 40-day exposure, CW produced more fully metamorphosed individuals compared with CE and UM, but during the 100-day exposure AM produced more fully metamorphosed individuals compared with the CW. There was reduction in fully metamorphosed juveniles compared with partially metamorphosed for CE and UM during the 40-day exposure, as well as in the CW during the 100-day exposure. These results will be important for understanding how mussel populations are affected by CEC exposure. The experiments also yielded many insights for laboratory toxicology exposure studies.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5844","usgsCitation":"Richard, M.A., Elliott, S.M., Hummel, S.L., Woolnough, D., Rzodkiewicz, L.D., Gill, S., Rappold, J., and Annis, M., 2024, Reduced freshwater mussel juvenile production as a result of agricultural and urban contaminant mixture exposures: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1112-1125, https://doi.org/10.1002/etc.5844.","productDescription":"24 p.; Data Release","startPage":"1112","endPage":"1125","ipdsId":"IP-150504","costCenters":[],"links":[{"id":440057,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5844","text":"Publisher Index Page"},{"id":435015,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFLVII","text":"USGS data release","linkHelpText":"Plain pocketbook (Lampsilis cardium) glochidia counts and transformation rates collected during laboratory exposures to agriculture and urban contaminant mixtures and measured contaminant concentrations, 2018"},{"id":432599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Richard, Molly Anne 0000-0002-2663-5130","orcid":"https://orcid.org/0000-0002-2663-5130","contributorId":340509,"corporation":false,"usgs":true,"family":"Richard","given":"Molly","email":"","middleInitial":"Anne","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hummel, Stephanie L.","contributorId":296241,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":909695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woolnough, D.A.","contributorId":83370,"corporation":false,"usgs":true,"family":"Woolnough","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":909696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rzodkiewicz, Lacey D.","contributorId":342117,"corporation":false,"usgs":false,"family":"Rzodkiewicz","given":"Lacey","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":909697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gill, Stephanie","contributorId":340795,"corporation":false,"usgs":false,"family":"Gill","given":"Stephanie","email":"","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":909698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rappold, Justin","contributorId":342118,"corporation":false,"usgs":false,"family":"Rappold","given":"Justin","email":"","affiliations":[],"preferred":false,"id":909699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Annis, Mandy mannis@usgs.gov","contributorId":150368,"corporation":false,"usgs":true,"family":"Annis","given":"Mandy","email":"mannis@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":909700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70255906,"text":"70255906 - 2024 - The role of sediment ingestion in exposing bottom-feeding fish to chemical elements","interactions":[],"lastModifiedDate":"2024-07-10T14:59:36.525008","indexId":"70255906","displayToPublicDate":"2024-03-22T09:57:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The role of sediment ingestion in exposing bottom-feeding fish to chemical elements","docAbstract":"<p><span>Digesta were collected from the intestines of seven species of bottom-feeding fish to better understand the role of incidental ingestion of sediment in exposing fish to inorganic contaminants. A composite sediment tracer variable, based on concentrations of Co, Cr, Ni, Ti, V, and Y in digesta and in sediment, was calculated to estimate sediment content of digesta. Concentration factors (mg/kg in digesta divided by mg/kg in sediment) of eight elements of interest were linearly regressed on this tracer variable. The relative importance of sediment ingestion to oral exposure was quantified. Zinc, Cd, and Cu were ingested mainly from sediment-free food. Arsenic, Cr, Ni, Al, and Pb, in contrast, were ingested mainly from sediment. As an example, 93% of the Ni in digesta from a brown bullhead (</span><i>Ameiurus nebulosus</i><span>) was from sediment and only 7% from food. Regressions of Al and Pb in digesta of suckers (Catostomidae) suggested an additional oral source, possibly from oxides coating biotic or abiotic surfaces. Overall, concentrations of 12 of 21 elements studied were positively correlated with sediment content (</span><i>p</i><span> &lt; 0.005). Including sediment ingestion as a pathway for bottom-feeding fish is essential for accurately estimating exposures in toxicological studies.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5835","usgsCitation":"Beyer, W.N., and Pinkney, A.E., 2024, The role of sediment ingestion in exposing bottom-feeding fish to chemical elements: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1036-1046, https://doi.org/10.1002/etc.5835.","productDescription":"11 p.","startPage":"1036","endPage":"1046","ipdsId":"IP-150175","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":430895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":905980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinkney, Alfred E.","contributorId":14253,"corporation":false,"usgs":false,"family":"Pinkney","given":"Alfred","email":"","middleInitial":"E.","affiliations":[{"id":12750,"text":"U.S. Fish and Wildlife Service, Annapolis, MD","active":true,"usgs":false}],"preferred":false,"id":905981,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70248795,"text":"70248795 - 2024 - Environmental disturbances and restoration of salt marshes","interactions":[],"lastModifiedDate":"2024-06-04T14:00:16.557144","indexId":"70248795","displayToPublicDate":"2024-03-22T08:58:28","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6.16","title":"Environmental disturbances and restoration of salt marshes","docAbstract":"<p><span>Salt and brackish marshes (hereafter salt marshes) are the dominant coastal wetland in temperate and boreal intertidal settings. Human-enhanced disturbances threaten their persistence and functionality, with consequences to many ecosystem services. Restoration potentials are very site specific, varying by degree of disturbance and target goals. Global changes in climate and land-use will continue to impact salt marsh extent and function, requiring a portfolio of responses. While local responses may achieve limited target goals for salt marsh functions, preservation of&nbsp;</span>current tidal<span>&nbsp;wetlands and their inland migration corridors is the most viable option for maintaining a full suite of salt marsh ecosystem services, globally.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-323-90798-9.00095-0","usgsCitation":"Weis, J., and Windham-Myers, L., 2024, Environmental disturbances and restoration of salt marshes, p. 549-595, https://doi.org/10.1016/B978-0-323-90798-9.00095-0.","productDescription":"47 p.","startPage":"549","endPage":"595","ipdsId":"IP-150794","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":429497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weis, Judith","contributorId":329960,"corporation":false,"usgs":false,"family":"Weis","given":"Judith","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":883700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252455,"text":"70252455 - 2024 - Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?","interactions":[],"lastModifiedDate":"2024-03-25T14:10:12.17114","indexId":"70252455","displayToPublicDate":"2024-03-22T08:53:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?","docAbstract":"<p><span>The Parkfield transitional segment of the San Andreas Fault (SAF) is characterized by the production of frequent quasi-periodical M6 events that break the very same asperity. The last Parkfield mainshock occurred on 28 September 2004, 38 years after the 1966 earthquake, and after the segment showed a ∼22 years average recurrence time. The main reason for the much longer interevent period between the last two earthquakes is thought to be the reduction of the Coulomb stress from the M6.5 Coalinga earthquake of 2 May 1983, and the M6 Nuñez events of June 11th and 22 July 1983. Plausibly, the transitional segment of the SAF at Parkfield is now in the late part of its seismic cycle and current observations may all be relative to a state of stress close to criticality. However, the behavior of the attenuation parameter in the last few years seems substantially different from the one that characterized the years prior to the 2004 mainshock. A few questions arise: (i) Does a detectable preparation phase for the Parkfield mainshocks exist, and is it the same for all events? (ii) How dynamically/kinematically similar are the quasi-periodic occurrences of the Parkfield mainshocks? (iii) Are some dynamic/kinematic characteristics of the next mainshock predictable from the analysis of current data? (e.g., do we expect the epicenter of the next failure to be co-located to that of 2004?) (iv) Should we expect the duration of the current interseismic period to be close to the 22-year “undisturbed” average value? We respond to the questions listed above by analyzing the non-geometric attenuation of direct S-waves along the transitional segment of the SAF at Parkfield, in the close vicinity of the fault plane, between January 2001 and November 2023. Of particular interest is the preparatory behavior of the attenuation parameter as the 2004 mainshock approached, on both sides of the SAF. We also show that the non-volcanic tremor activity modulates the seismic attenuation in the area, and possibly the seismicity along the Parkfield fault segment, including the occurrence of the mainshocks.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2024.1349425","usgsCitation":"Malagnini, L., Nadeau, R., and Parsons, T.E., 2024, Seismic attenuation and stress on the San Andreas Fault at Parkfield: Are we critical yet?: Frontiers in Earth Science, v. 12, 1349425; 16 p., https://doi.org/10.3389/feart.2024.1349425.","productDescription":"1349425; 16 p.","ipdsId":"IP-161211","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/feart.2024.1349425","text":"Publisher Index Page"},{"id":426966,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Parkfield","otherGeospatial":"Sand Andreas Fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.8,\n              36.2\n            ],\n            [\n              -120.8,\n              35.7\n            ],\n            [\n              -120.2,\n              35.7\n            ],\n            [\n              -120.2,\n              36.2\n            ],\n            [\n              -120.8,\n              36.2\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":897204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nadeau, Robert M. 0000-0003-1255-0643","orcid":"https://orcid.org/0000-0003-1255-0643","contributorId":264609,"corporation":false,"usgs":false,"family":"Nadeau","given":"Robert M.","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":897205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252615,"text":"70252615 - 2024 - Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","interactions":[],"lastModifiedDate":"2024-07-15T14:54:36.864148","indexId":"70252615","displayToPublicDate":"2024-03-22T06:49:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Differences in life history patterns of American shad, <i>Alosa sapidissima</i>, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","title":"Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><span>Organisms naturalized outside their native range can reveal new life history patterns in new environments. Here, we compare life history patterns of American shad,&nbsp;</span><i>Alosa sapidissima,</i><span>&nbsp;from five rivers along the U.S. Pacific coast (introduced range) with contemporary data from the Atlantic coast source populations. The Pacific coast fish grew slower, matured at a younger age, and were less often iteroparous than conspecifics from the Hudson River and Susquehanna River sources. Differences among the Pacific coast populations indicated that some combination of phenotypic plasticity and genetic adaptation has occurred since the transplants in the 1870s. Microchemical analysis of otoliths from returning adults demonstrated an immature, extended freshwater life history form, locally known as “mini-shad”. These fish remain in the river for at least 1 year or enter salt water briefly and then return to fresh water for several months prior to subsequent seaward migration and return as adults. This and other forms of variation (extent of estuary use and size at sea water entry) expand the understanding of Alosine migration and life history diversity.</span></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0286","usgsCitation":"Quinn, T.P., Wetzel, L., Hasselman, D.J., and Larsen, K., 2024, Differences in life history patterns of American shad, Alosa sapidissima, populations between ancestral, Atlantic coast, and non-native, Pacific coast rivers of North America: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 7, p. 862-878, https://doi.org/10.1139/cjfas-2023-0286.","productDescription":"17 p.","startPage":"862","endPage":"878","ipdsId":"IP-158463","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":427263,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":897703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Lisa 0000-0003-3178-9940","orcid":"https://orcid.org/0000-0003-3178-9940","contributorId":202173,"corporation":false,"usgs":true,"family":"Wetzel","given":"Lisa","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasselman, Daniel J.","contributorId":335211,"corporation":false,"usgs":false,"family":"Hasselman","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":80342,"text":"University of Washington; Fundy Ocean Research Centre for Energy","active":true,"usgs":false}],"preferred":false,"id":897705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Kimberly 0000-0001-7978-2452","orcid":"https://orcid.org/0000-0001-7978-2452","contributorId":202172,"corporation":false,"usgs":true,"family":"Larsen","given":"Kimberly","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897706,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70253037,"text":"70253037 - 2024 - Improved efficient physics-based computational modeling of regional wave-driven coastal flooding for reef-lined coastlines","interactions":[],"lastModifiedDate":"2024-04-17T11:41:22.684054","indexId":"70253037","displayToPublicDate":"2024-03-22T06:39:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17460,"text":"Journal of Marine Science & Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Improved efficient physics-based computational modeling of regional wave-driven coastal flooding for reef-lined coastlines","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara012\">Coastal flooding affects low-lying communities worldwide and is expected to increase with climate change, especially along reef-lined coasts, where wave-driven flooding is particularly prevalent. However, current regional modeling approaches are either insufficient or too computationally expensive to accurately assess risks in these complex environments. This study introduces and validates an improved computationally efficient and physics-based approach to compute dynamic wave-driven regional flooding on reef-lined coasts. We coupled a simplified-physics flood model (SFINCS) with a one-dimensional wave transformation model (XBeach-1D). To assess the performance of the proposed approach, we compared its results with results from a fully resolving two-dimensional wave transformation model (XBeach-2D). We applied this approach for a range of storms and sea-level rise scenarios for two contrasting reef-lined coastal geomorphologies: one low relief area and one high relief area. Our findings reveal that SFINCS coupled with XBeach-1D generates flood extents comparable to those produced by XBeach-2D, with a hit rate of 92%. However, this method tends to underpredict the flood extent of weaker, high-frequency storms and overpredict stronger, low-frequency storms. Across scenarios, our approach overpredicted the mean flood water depth, with a positive bias of 7 cm and root mean square difference of 15 cm. Offering approximately 100 times greater computational efficiency than its two-dimensional XBeach counterpart, this flood modeling technique is recommended for wave-driven flood modeling in scenarios with high computational demands, such as modeling numerous scenarios or undertaking detailed regional-scale modeling.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2024.102358","usgsCitation":"Gaido-Lassarre, C., Nederhoff, K., Storlazzi, C.D., Reguero, B., and Beck, M.W., 2024, Improved efficient physics-based computational modeling of regional wave-driven coastal flooding for reef-lined coastlines: Journal of Marine Science & Engineering, v. 198, 102358, 14 p., https://doi.org/10.1016/j.ocemod.2024.102358.","productDescription":"102358, 14 p.","ipdsId":"IP-154224","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2024.102358","text":"Publisher Index Page"},{"id":427837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaido-Lassarre, Camila","contributorId":335650,"corporation":false,"usgs":false,"family":"Gaido-Lassarre","given":"Camila","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":898993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":898994,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":898995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":898996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":898997,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252703,"text":"70252703 - 2024 - Composite estimation to combine spatially overlapping environmental monitoring surveys","interactions":[],"lastModifiedDate":"2024-04-03T11:42:40.839783","indexId":"70252703","displayToPublicDate":"2024-03-22T06:38:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Composite estimation to combine spatially overlapping environmental monitoring surveys","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Long-term environmental monitoring surveys are designed to achieve a desired precision (measured by variance) of resource conditions based on natural variability information. Over time, increases in resource variability and in data use to address issues focused on small areas with limited sample sizes require bolstering of attainable precision. It is often prohibitive to do this by increasing sampling effort. In cases with spatially overlapping monitoring surveys, composite estimation offers a statistical way to obtain a precision-weighted combination of survey estimates to provide improved population estimates (more accurate) with improved precisions (lower variances). We present a composite estimator for overlapping surveys, a summary of compositing procedures, and a case study to illustrate the procedures and benefits of composite estimation. The study uses the two terrestrial monitoring surveys administered by the Bureau of Land Management (BLM) that entirely overlap. Using 2015–18 data and 13 land-health indicators, we obtained and compared survey and composite indicator estimates of percent area meeting land-health standards for sagebrush communities in Wyoming’s Greater Sage-Grouse (<i>Centrocercus urophasianus</i>) Core and NonCore conservation areas on BLM-managed lands. We statistically assessed differences in indicator estimates between the conservation areas using composite estimates and estimates of the two surveys individually. We found composite variance to be about six to 24 units lower than 37% of the survey variances and composite estimates to differ by about six to 10 percentage points from six survey estimates. The composite improvements resulted in finding 11 indicators to statistically differ (<i>p</i><span>&nbsp;</span>&lt;0.05) between the conservation areas compared to only six and seven indicators for the individual surveys. Overall, we found composite estimation to be an efficient and useful option for improving environmental monitoring information where two surveys entirely overlap and suggest how this estimation method could be beneficial where environmental surveys partially overlap and in small area applications.</p></div></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0299306","usgsCitation":"Garman, S., Yu, C.L., and Li, Y., 2024, Composite estimation to combine spatially overlapping environmental monitoring surveys: PLoS ONE, v. 19, no. 3, e0299306, 20 p., https://doi.org/10.1371/journal.pone.0299306.","productDescription":"e0299306, 20 p.","ipdsId":"IP-153573","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0299306","text":"Publisher Index Page"},{"id":427342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.78947229426687,\n              45.00959988623083\n            ],\n            [\n              -110.78947229426687,\n              42.080007312096484\n            ],\n            [\n              -105.59293909114167,\n              42.080007312096484\n            ],\n            [\n              -105.59293909114167,\n              45.00959988623083\n            ],\n            [\n              -110.78947229426687,\n              45.00959988623083\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Garman, Steven 0000-0002-9032-9074","orcid":"https://orcid.org/0000-0002-9032-9074","contributorId":203713,"corporation":false,"usgs":true,"family":"Garman","given":"Steven","affiliations":[],"preferred":true,"id":897963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Cindy L.","contributorId":335288,"corporation":false,"usgs":false,"family":"Yu","given":"Cindy","email":"","middleInitial":"L.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":897964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Yuyang","contributorId":335290,"corporation":false,"usgs":false,"family":"Li","given":"Yuyang","email":"","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":897965,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252485,"text":"70252485 - 2024 - The effects of wastewater reuse on smallmouth bass (Micropterus dolomieu) relative abundance in the Shenandoah River Watershed, USA","interactions":[],"lastModifiedDate":"2024-05-07T14:37:28.937756","indexId":"70252485","displayToPublicDate":"2024-03-22T06:38:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"The effects of wastewater reuse on smallmouth bass (Micropterus dolomieu) relative abundance in the Shenandoah River Watershed, USA","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p><span>Municipal and industrial wastewater effluent is an important source of water for lotic systems, especially during periods of low flow. The accumulated wastewater effluent flows—expressed as a percentage of total streamflow (ACCWW%)—contain chemical mixtures that pose a risk to aquatic life; fish may be particularly vulnerable when chronically exposed. Although there has been considerable focus on individual-level effects of exposure to chemical mixtures found in wastewater effluent, scaling up to population-level effects remains a challenging component needed to better understand the potential consequences of exposure in wild populations. This may be particularly important under a changing climate in which wastewater reuse could be essential to maintain river flows. We evaluated the effects of chronic exposure to wastewater effluent, as measured by ACCWW%, on the relative abundance of young-of-year (YOY), juvenile, and adult smallmouth bass (</span><i>Micropterus dolomieu</i><span>) populations in the Shenandoah River Watershed (USA). We found that increases in ACCWW% in the previous year and during the prespawn period were negatively correlated with the relative abundance of YOY, resulting in an average 41% predicted decrease in abundance (range = 0.5%–94% predicted decrease in abundance). This lagged effect suggests that adult fish reproductive performance may be compromised by chemical exposure during periods of high ACCWW%. No relationships between ACCWW% and juvenile or adult relative abundance were found, suggesting that negative effects of ACCWW% on YOY abundance may be offset due to compensatory mechanisms following higher ACCWW% exposure. Understanding the effects of wastewater effluent exposure at multiple levels of biological organization will help in the development of management strategies aimed at protecting aquatic life.&nbsp;</span><i>Environ Toxicol Chem</i><span>&nbsp;2024;43:1138–1148. © 2024 The Authors.&nbsp;</span><i>Environmental Toxicology and Chemistry</i><span>&nbsp;published by Wiley Periodicals LLC on behalf of SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.</span></p></div></div>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5849","usgsCitation":"Wagner, T., McLaughlin, P., Faunce, K.E., Austin, S.H., and Smalling, K., 2024, The effects of wastewater reuse on smallmouth bass (Micropterus dolomieu) relative abundance in the Shenandoah River Watershed, USA: Environmental Toxicology and Chemistry, v. 43, no. 5, p. 1138-1148, https://doi.org/10.1002/etc.5849.","productDescription":"11 p.","startPage":"1138","endPage":"1148","ipdsId":"IP-157024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":440069,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5849","text":"Publisher Index Page"},{"id":427094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah River Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.14135775430164,\n              37.88517609853744\n            ],\n            [\n              -77.08715853555172,\n              37.88517609853744\n            ],\n            [\n              -77.08715853555172,\n              39.767933276410446\n            ],\n            [\n              -80.14135775430164,\n              39.767933276410446\n            ],\n            [\n              -80.14135775430164,\n              37.88517609853744\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":897290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Paul","contributorId":335039,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Paul","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":897291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunce, Kaycee E. 0000-0002-9178-0692","orcid":"https://orcid.org/0000-0002-9178-0692","contributorId":224488,"corporation":false,"usgs":true,"family":"Faunce","given":"Kaycee","email":"","middleInitial":"E.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Austin, Samuel H. 0000-0001-5626-023X saustin@usgs.gov","orcid":"https://orcid.org/0000-0001-5626-023X","contributorId":153,"corporation":false,"usgs":true,"family":"Austin","given":"Samuel","email":"saustin@usgs.gov","middleInitial":"H.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":897293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897294,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252249,"text":"sir20245017 - 2024 - Groundwater model of the Harney Basin, southeastern Oregon","interactions":[],"lastModifiedDate":"2026-02-02T22:27:22.663466","indexId":"sir20245017","displayToPublicDate":"2024-03-22T06:23:53","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5017","displayTitle":"Groundwater Model of the Harney Basin, Southeastern Oregon","title":"Groundwater model of the Harney Basin, southeastern Oregon","docAbstract":"<p>Groundwater development, mainly for large-scale irrigation, has increased substantially in the Harney Basin of southeastern Oregon since 2010. Concurrently, some areas of the basin experienced groundwater-level declines of more than 100 feet, and some shallow wells have gone dry. The Oregon Water Resources Department has limited new groundwater development in the basin until an improved understanding of the groundwater-flow system is available. The groundwater resources report by Gingerich and others (2022, U.S. Geological Survey Scientific Investigations Report 2021–5103, <a data-mce-href=\"https://doi.org/10.3133/sir20215103\" href=\"https://doi.org/10.3133/sir20215103\">https://doi.org/10.3133/sir20215103</a>) provides that understanding. This report describes the development of a numerical groundwater-flow model that can be used as a tool to help improve that understanding. The Harney Basin Groundwater Model was developed using the finite-difference groundwater-modeling software U.S. Geological Survey modular finite-difference groundwater-flow model (MODFLOW 6) and associated Python pre- and post-processing routines. The groundwater model encompasses the entire 5,240-square-mile Harney Basin and adjacent areas and is calibrated to the hydrologic conditions from 1930 to 2018. The model has a uniform grid consisting of 78,064 nearly square cells, each covering 2,005 by 2,007 feet (about 92 acres) and has 10 layers (780,640 total cells) representing the vertical distribution of hydrogeologic units. The results from the calibrated model simulations indicate that groundwater pumpage exceeded recharge since about the mid-1980s, resulting in an estimated net cumulative depletion of groundwater storage (discharge minus recharge) of about 840,000 acre-feet and also indicated declines in groundwater evapotranspiration and spring and stream discharge. Model simulations show as much as 100 feet of groundwater-level decline in some areas and more than 40 feet of decline in widespread areas in recent decades. Model simulations are consistent with field observations of groundwater levels through time.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245017","collaboration":"Prepared in cooperation with the Oregon Water Resources Department","usgsCitation":"Gingerich, S.B., Boschmann, D.E., Grondin, G.H., and Schibel, H.J., 2024, Groundwater model of the Harney Basin, southeastern Oregon: U.S. Geological Survey Scientific Investigations Report 2024–5017, 104 p., https://doi.org/10.3133/sir20245017.","productDescription":"Report: xii, 104 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-152081","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499430,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116178.htm","linkFileType":{"id":5,"text":"html"}},{"id":426855,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.jpg"},{"id":426856,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.pdf","text":"Report","size":"47.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5017"},{"id":426869,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OEKEIO","text":"USGS data release","description":"USGS data release","linkHelpText":"MODFLOW 6 model used to simulate groundwater flow in the Harney Basin, southeastern Oregon"},{"id":426859,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5017/sir20245017.XML"},{"id":426858,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5017/images"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.44430319880412,\n              44.965776942074626\n            ],\n            [\n              -121.44430319880412,\n              42.262073209475204\n            ],\n            [\n              -117.31344382380401,\n              42.262073209475204\n            ],\n            [\n              -117.31344382380401,\n              44.965776942074626\n            ],\n            [\n              -121.44430319880412,\n              44.965776942074626\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW 2nd Avenue, Suite 1950<br>Portland, OR 97204</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Abstract</li><li>Introduction</li><li>Model Boundaries and Discretization</li><li>Hydraulic Properties</li><li>Simulation of Recharge</li><li>Simulation of Discharge</li><li>Model Calibration and Results</li><li>Model Sensitivity to Parameters</li><li>Simulated Groundwater Budget</li><li>Future Scenarios</li><li>Model Uncertainty, Limitations, and Improvements</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Hydrostratigraphic Units in the Harney Basin Groundwater Model</li></ul>","publishedDate":"2024-03-22","noUsgsAuthors":false,"publicationDate":"2024-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boschmann, Darrick E. 0000-0001-8662-9261","orcid":"https://orcid.org/0000-0001-8662-9261","contributorId":289547,"corporation":false,"usgs":false,"family":"Boschmann","given":"Darrick","email":"","middleInitial":"E.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":897041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grondin, Gerald H. 0000-0002-8930-6967","orcid":"https://orcid.org/0000-0002-8930-6967","contributorId":289548,"corporation":false,"usgs":false,"family":"Grondin","given":"Gerald","email":"","middleInitial":"H.","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":897042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schibel, Halley J 0000-0002-9562-9340","orcid":"https://orcid.org/0000-0002-9562-9340","contributorId":290740,"corporation":false,"usgs":false,"family":"Schibel","given":"Halley","email":"","middleInitial":"J","affiliations":[{"id":34888,"text":"Oregon Water Resources Department","active":true,"usgs":false}],"preferred":false,"id":897043,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252247,"text":"sir20235115 - 2024 - Monitoring aquifer-storage change from artificial recharge with repeat microgravity along Santa Cruz River, Tucson, Arizona, 2019–22","interactions":[],"lastModifiedDate":"2026-01-30T19:06:38.116141","indexId":"sir20235115","displayToPublicDate":"2024-03-21T14:00:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5115","displayTitle":"Monitoring Aquifer-Storage Change from Artificial Recharge with Repeat Microgravity along Santa Cruz River, Tucson, Arizona, 2019–22","title":"Monitoring aquifer-storage change from artificial recharge with repeat microgravity along Santa Cruz River, Tucson, Arizona, 2019–22","docAbstract":"<p>The City of Tucson water utility, Tucson Water, began releasing treated effluent into the Santa Cruz River channel near downtown Tucson in 2019. This recharge project—the Heritage Project—is intended to create a reach of consistent flow in the channel and recharge water to the aquifer. Tracking the dispersal of recharged water is important for management decisions because groundwater movement depends on spatially variable characteristics of the subsurface and cannot be fully predicted in advance. Groundwater-level measurements in wells are useful, but the relation between water storage and groundwater-level change depends on the unknown storage coefficient of the aquifer. To estimate storage changes caused by recharge of reclaimed effluent released into the channel for the Heritage Project, the U.S. Geological Survey (USGS) collected repeat microgravity data along the Santa Cruz River in Tucson, Arizona, from 2019 to 2022. This method augments groundwater-level monitoring by providing a direct quantitative measurement of changes in the quantity of water stored in the subsurface.</p><p>Preliminary results of the monitoring through 2022 showed consistent storage increases only near and upstream from the Heritage Project outfall site. Initially high storage increases at some locations west of the channel and in line with Sentinel Peak reached roughly steady state in later times. North of Sentinel Peak, a storage increase from 2020 to 2021 was followed by a storage decrease from 2021 to 2022. Storage changes in the area north of Sentinel Peak appear to be related to the number of days flows in the channel were observed farther downstream from the outfall site (at USGS streamgage 09482500). This observation is likely due to the potential formation of a clogging layer that would allow surface water to disperse farther horizontally (downstream) before infiltrating. This phenomenon has been observed downstream of other recharged effluent projects and has been reduced by large flows in the channel, such as those occurring during large runoff events. There were no large or consistent storage increases near the Water Quality Assurance Revolving Fund (WQARF) sites included in this study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235115","collaboration":"Prepared in cooperation with Tucson Water, a department of the City of Tucson","usgsCitation":"Wildermuth, L.M., and Conrad, J.L., 2024, Monitoring aquifer-storage change from artificial recharge with repeat microgravity along Santa Cruz River, Tucson, Arizona, 2019–22: U.S. Geological Survey Scientific Investigations Report 2023–5115, 20 p., https://doi.org/10.3133/sir20235115.","productDescription":"Report: v, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-142205","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":426842,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5115/sir20235115.pdf","text":"Report","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426841,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5115/covrthb.jpg"},{"id":426838,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AFRZDF","text":"USGS Data Release","description":"Wildermuth, L.M., and Conrad, J.L., 2023, Repeat microgravity data from Santa Cruz River, Tucson, Arizona, 2019– 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9AFRZDF.","linkHelpText":"Repeat microgravity data from Santa Cruz River, Tucson, Arizona, 2019– 2022"},{"id":499385,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116175.htm","linkFileType":{"id":5,"text":"html"}},{"id":426845,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235115/full"},{"id":426844,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5115/images"},{"id":426843,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5115/sir20235115.xml"}],"country":"United States","state":"Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.92595968619914,\n              32.858435478248595\n            ],\n            [\n              -111.92595968619914,\n              31.25702551496481\n            ],\n            [\n              -110.04729757682384,\n              31.25702551496481\n            ],\n            [\n              -110.04729757682384,\n              32.858435478248595\n            ],\n            [\n              -111.92595968619914,\n              32.858435478248595\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/arizona-water-science-center/connect\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/az-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/az-water\">Arizona Water Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Methods</li><li>Aquifer Storage Change and Groundwater Level Monitoring Results</li><li>Summary and Discussion</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-03-21","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Wildermuth, Libby M. 0000-0001-5333-0968 lwildermuth@usgs.gov","orcid":"https://orcid.org/0000-0001-5333-0968","contributorId":290713,"corporation":false,"usgs":true,"family":"Wildermuth","given":"Libby","email":"lwildermuth@usgs.gov","middleInitial":"M.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Jacob L. 0000-0001-8112-5355","orcid":"https://orcid.org/0000-0001-8112-5355","contributorId":260658,"corporation":false,"usgs":true,"family":"Conrad","given":"Jacob","email":"","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897035,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252115,"text":"sim3515 - 2024 - Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 5 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts","interactions":[],"lastModifiedDate":"2026-04-02T18:57:46.382353","indexId":"sim3515","displayToPublicDate":"2024-03-21T11:10:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3515","displayTitle":"Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 5 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts","title":"Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 5 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the National Marine Sanctuary Program of the National Oceanic and Atmospheric Administration, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary (SBNMS) region since 1993. The area being mapped using geophysical and geological data includes the SBNMS and the surrounding region, which totals approximately 3,700 square kilometers (km<sup>2</sup>) and is subdivided into 18 quadrangles. The seabed is a glaciated terrain that is topographically and texturally diverse. Quadrangle 5, the subject of this scientific investigations map, has an area of 211 km<sup>2</sup> and has water depths that range from 23 meters (m) on the Stellwagen Bank crest to 105 m in the Stellwagen Basin. Seven map types, each at a scale of 1:25,000, depict seabed topography, ruggedness, backscatter intensity, distribution of geologic substrates, sediment mobility, distribution of fine- and coarse-grained sand, and substrate mud content. These maps show the distribution of geologic substrates on the crest and western flank of the south-central part of Stellwagen Bank and in Stellwagen Basin to the west. Interpretations of multibeam sonar bathymetric and seabed backscatter imagery, photographs, video imagery, and grain-size analyses were used to create the geology-based maps. Data from 729 stations were analyzed, including 620 sediment samples. The geologic substrate maps of quadrangle 5 show the distribution of 20 substrates that represent a wide range of textures, such as mobile and rippled sand, immobile sand, sand that partially veneers gravel, boulder ridges, and mud. Mapped substrates are characterized by sediment grain-size composition, surface morphology, substrate layering, the mobility or immobility of substrate surfaces, and water depth range. This scientific investigations map portrays the major geological elements (substrates, topographic features, and processes) of environments in quadrangle 5. It is intended to provide a foundation for research into present and past sediment transport processes in a complex terrain, provide insights into the ecological requirements of invertebrate and vertebrate species that utilize the various substrates, and to support seabed management in the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3515","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Valentine, P.C., and Cross, V.A., 2024, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 5 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3515, 8 sheets, scale 1:25,000, 27-p. pamphlet, https://doi.org/10.3133/sim3515.","productDescription":"Pamphlet: v, 27 p.; 8 Sheets: 26.96 × 32.43 inches or smaller; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082905","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502035,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3544","text":"Scientific Investigations Map 3544","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 3 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":465153,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3530","text":"Scientific Investigations Map 3530","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 2 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":426776,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3341","text":"Scientific Investigations Map 3341","linkHelpText":"- Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in Quadrangle 6 of the Stellwagen Bank National Marine Sanctuary Region offshore of Boston, Massachusetts"},{"id":426652,"rank":14,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W9BN3S","text":"USGS data release","linkHelpText":"Geospatial datasets of seabed topography, sediment mobility, and the distribution of geologic substrates in quadrangle 5 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts"},{"id":426650,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapG.pdf","text":"Map G","size":"1.53 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Distribution of Substrate Mud Content and Boulder Ridges"},{"id":426644,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapA.pdf","text":"Map A","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sun-Illuminated Topography and Boulder Ridges"},{"id":426651,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3515/full","text":"Pamphlet","linkFileType":{"id":5,"text":"html"},"description":"SIM 3515 HTML"},{"id":426643,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_pamphlet.pdf","text":"Pamphlet","size":"2.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3515 Pamphlet"},{"id":426645,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapB.pdf","text":"Map B","size":"1.72 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Seabed Ruggedness"},{"id":426642,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3515/images/"},{"id":426739,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapD2.pdf","text":"Map D, Sheet 2","size":"11.9 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Distribution of Geologic Substrates: Seabed geology and sun-illuminated topography"},{"id":499282,"rank":17,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116177.htm","linkFileType":{"id":5,"text":"html"}},{"id":426648,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapE.pdf","text":"Map E","size":"1.51 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sediment Mobility"},{"id":426649,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapF.pdf","text":"Map F","size":"1.51 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Distribution of Fine- and Coarse-Grained Sand, Mud, and Boulder Ridges"},{"id":426641,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3515/sim3515.XML"},{"id":426640,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3515/coverthb.jpg"},{"id":426646,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapC.pdf","text":"Map C","size":"26.1 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Backscatter Intensity and Sun-Illuminated Topography"},{"id":426647,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3515/sim3515_mapD1.pdf","text":"Map D, Sheet 1","size":"2.33 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Distribution of Geologic Substrates: Seabed geology and station data types"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.2312657714906,\n              42.82425427582456\n            ],\n            [\n              -71.2312657714906,\n              41.620205865497155\n            ],\n            [\n              -69.8140294433657,\n              41.620205865497155\n            ],\n            [\n              -69.8140294433657,\n              42.82425427582456\n            ],\n            [\n              -71.2312657714906,\n              42.82425427582456\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/whcmsc\" data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road<br>Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Map A. Sun-Illuminated Topography and Boulder Ridges</li><li>Map B. Seabed Ruggedness</li><li>Map C. Backscatter Intensity and Sun-Illuminated Topography</li><li>Map D. Distribution of Geologic Substrates</li><li>Map E. Sediment Mobility</li><li>Map F. Distribution of Fine- and Coarse-Grained Sand, Mud, and Boulder Ridges</li><li>Map G. Distribution of Substrate Mud Content and Boulder Ridges</li><li>References Cited</li><li>Appendix 1. Data Layers and Data for Quadrangle 5</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-03-21","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Page C. 0000-0002-0485-6266 pvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-6266","contributorId":1947,"corporation":false,"usgs":true,"family":"Valentine","given":"Page","email":"pvalentine@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, VeeAnn A. 0000-0002-9239-9009 vatnipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-9009","contributorId":1043,"corporation":false,"usgs":true,"family":"Cross","given":"VeeAnn","email":"vatnipp@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":896668,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256447,"text":"70256447 - 2024 - Gulf killifish (Fundulus grandis) in the Pecos River: Unique life history traits in a nonnative, island population","interactions":[],"lastModifiedDate":"2024-08-02T16:04:42.406438","indexId":"70256447","displayToPublicDate":"2024-03-21T10:56:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Gulf killifish (<i>Fundulus grandis</i>) in the Pecos River: Unique life history traits in a nonnative, island population","title":"Gulf killifish (Fundulus grandis) in the Pecos River: Unique life history traits in a nonnative, island population","docAbstract":"<p><span>Nonnative species may display unique life history traits when established in habitats with distinctive environmental and biotic contexts compared with their native ecosystems. Gulf killifish (</span><i>Fundulus grandis</i><span>), native to coastal habitats of the Gulf of Mexico, are established in several inland river systems where they pose a potential threat to native fishes. In the Pecos River, Texas, nonnative Gulf killifish have shown a high rate of piscivory compared with native coastal populations; otherwise, little is known about the ecology of the species in inland systems. We examined reproductive characteristics, size, and age of Gulf killifish in the Pecos River. We found that reproduction takes place approximately between late March and September, with the gonadosomatic index of females showing a large and extended peak in spring and a second minor peak in late August–September. Our age estimations indicate that this population consists mostly of fish &lt;2 years old, similarly to that reported for coastal populations. Total length ranged 11.9–143.4 mm for males and 32.3–162.5 mm for females, indicating a sexually dimorphic size structure with Pecos River individuals reaching larger sizes compared with coastal populations. The relatively large size and piscivorous nature of Gulf killifish, along with tolerance for a wide range of environmental conditions, are attributes in nonnative species hypothesized to promote invasion success and replacement of native species.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-68.1.1","usgsCitation":"Delaune, K., Pease, A., Patino, R., Brown, C.L., and Barnes, M., 2024, Gulf killifish (Fundulus grandis) in the Pecos River: Unique life history traits in a nonnative, island population: Southwestern Naturalist, v. 68, no. 1, p. 1-12, https://doi.org/10.1894/0038-4909-68.1.1.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-132094","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.15125403534212,\n              33.460380957090834\n            ],\n            [\n              -103.65531606145227,\n              31.30384163898544\n            ],\n            [\n              -101.34407369303406,\n              29.483966031206847\n            ],\n            [\n              -100.89623060006912,\n              29.591781476453974\n            ],\n            [\n              -102.11190768833953,\n              31.27083588828689\n            ],\n            [\n              -103.39674006007425,\n              31.828767129152226\n            ],\n            [\n              -104.10922146734698,\n              32.919266235303375\n            ],\n            [\n              -104.12287053645167,\n              34.47343853197968\n            ],\n            [\n              -104.89267803396459,\n              35.913954955016834\n            ],\n            [\n              -105.75078791826955,\n              35.58270848916575\n            ],\n            [\n              -104.62887284443381,\n              33.66932615920572\n            ],\n            [\n              -105.15125403534212,\n              33.460380957090834\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"68","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Delaune, K.D.","contributorId":340643,"corporation":false,"usgs":false,"family":"Delaune","given":"K.D.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pease, A.A.","contributorId":340644,"corporation":false,"usgs":false,"family":"Pease","given":"A.A.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Connor L.","contributorId":341842,"corporation":false,"usgs":false,"family":"Brown","given":"Connor","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":908997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, M.A.","contributorId":340646,"corporation":false,"usgs":false,"family":"Barnes","given":"M.A.","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252548,"text":"70252548 - 2024 - Assessing giant sequoia mortality and regeneration following high-severity wildfire","interactions":[],"lastModifiedDate":"2024-03-28T12:01:19.78198","indexId":"70252548","displayToPublicDate":"2024-03-21T07:00:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing giant sequoia mortality and regeneration following high-severity wildfire","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Fire is a critical driver of giant sequoia (<i>Sequoiadendron giganteum</i><span>&nbsp;</span>[Lindl.] Buchholz) regeneration. However, fire suppression combined with the effects of increased temperature and severe drought has resulted in fires of an intensity and size outside of the historical norm. As a result, recent mega-fires have killed a significant portion of the world's sequoia population (13%–19%), and uncertainty surrounds whether severely affected groves will be able to recover naturally, potentially leading to a loss of grove area. To assess the likelihood of natural recovery, we collected spatially explicit data assessing mortality, crown condition, and regeneration within four giant sequoia groves that were severely impacted by the SQF- (2020) and KNP-Complex (2021) wildfires within Sequoia and Kings Canyon National Parks. In total, we surveyed 5.9 ha for seedlings and assessed the crown condition of 1104 giant sequoias. To inform management, we used a statistical methodology that robustly quantifies the uncertainty in inherently “noisy” seedling data and takes advantage of readily available remote sensing metrics that would make our findings applicable to other recently burned groves. A loss of giant sequoia grove area would be a consequence of giant sequoia tree mortality followed by a failure of natural regeneration. We found that areas that experienced very high-severity fire (above ~800 RdNBR) are at substantial risk for the loss of grove area, with tree mortality rapidly increasing and giant sequoia seedling density simultaneously decreasing with fire severity. Such high-severity areas comprised 17.8, 142.0, 14.6, 1.6 ha and ~90%, ~14%, ~53%, and ~27% of Board Camp, Redwood Mountain, Suwanee, and New Oriole Lake groves, respectively. In all sampling areas, we found that seedling densities fell far below the average density measured after prescribed fires, where seedling numbers were almost certainly adequate to maintain giant sequoia populations and postfire conditions were more in keeping with historical norms. Importantly, spatial pattern is also important in assessing the risk of grove loss, and in two groves, Suwanee and New Oriole Lake, the high-severity patches were not always contiguous, potentially making some areas more resilient to regeneration failure due to the proximity of surviving trees.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4789","usgsCitation":"Soderberg, D.N., Das, A., Stephenson, N.L., Meyer, M.D., Brigham, C.A., and Flickinger, J., 2024, Assessing giant sequoia mortality and regeneration following high-severity wildfire: Ecosphere, v. 15, no. 3, e4789, 20 p., https://doi.org/10.1002/ecs2.4789.","productDescription":"e4789, 20 p.","ipdsId":"IP-152849","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440072,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4789","text":"Publisher Index Page"},{"id":435016,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96Z1PBK","text":"USGS data release","linkHelpText":"Assessment of Giant Sequoia Mortality and Regeneration within Burned Groves in Sequoia and Kings Canyon National Parks (ver. 2.0, January 2024)"},{"id":427205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":897472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Marc D.","contributorId":146492,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16711,"text":"USDA Forest Service, Clovis, CA","active":true,"usgs":false}],"preferred":false,"id":897473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brigham, Christy A.","contributorId":335098,"corporation":false,"usgs":false,"family":"Brigham","given":"Christy","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":897474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flickinger, Joshua","contributorId":335100,"corporation":false,"usgs":false,"family":"Flickinger","given":"Joshua","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":897475,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252436,"text":"70252436 - 2024 - The value of marsh restoration for flood risk reduction in an urban estuary","interactions":[],"lastModifiedDate":"2025-03-20T13:44:45.48974","indexId":"70252436","displayToPublicDate":"2024-03-21T06:47:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"The value of marsh restoration for flood risk reduction in an urban estuary","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The use of nature-based solutions (NBS) for coastal climate adaptation has broad and growing interest, but NBS are rarely assessed with the same rigor as traditional engineering solutions or with respect to future climate change scenarios. These gaps pose challenges for the use of NBS for climate adaptation. Here, we value the flood protection benefits of stakeholder-identified marsh restoration under current and future climate change within San Francisco Bay, a densely urbanized estuary, and specifically on the shores of San Mateo County, the county most vulnerable to future flooding in California. Marsh restoration provides a present value of 21 million dollars which increases to over 100 million dollars with 0.5 m of sea level rise (SLR), and to about 500 million dollars with 1 m of SLR. There are hotspots within the county where marsh restoration delivers very high benefits for adaptation, which reach 9 million dollars/hectare with likely future sea level and storm conditions. Today’s investments in nature and community resilience can result in increasing payoffs as climate change progresses and risk increases.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-57474-4","usgsCitation":"Taylor-Burns, R.M., Lowrie, C., Tehranirad, B., Lowe, J., Erikson, L.H., Barnard, P.L., Reguero, B.G., and Beck, M.W., 2024, The value of marsh restoration for flood risk reduction in an urban estuary: Nature Climate Change, v. 14, 6856, 10 p., https://doi.org/10.1038/s41598-024-57474-4.","productDescription":"6856, 10 p.","ipdsId":"IP-148306","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426960,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":440074,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-57474-4","text":"Publisher Index Page"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.63115736360326,\n              37.88783703374655\n            ],\n            [\n              -122.63115736360326,\n              37.348307280807546\n            ],\n            [\n              -121.91705432462538,\n              37.348307280807546\n            ],\n            [\n              -121.91705432462538,\n              37.88783703374655\n            ],\n            [\n              -122.63115736360326,\n              37.88783703374655\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor-Burns, Rae M. 0000-0003-4963-6643","orcid":"https://orcid.org/0000-0003-4963-6643","contributorId":312507,"corporation":false,"usgs":false,"family":"Taylor-Burns","given":"Rae","email":"","middleInitial":"M.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":897156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrie, Chris","contributorId":334976,"corporation":false,"usgs":false,"family":"Lowrie","given":"Chris","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":897157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":897158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Jeremy","contributorId":197538,"corporation":false,"usgs":false,"family":"Lowe","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":897159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reguero, Borja G. 0000-0001-5526-7157","orcid":"https://orcid.org/0000-0001-5526-7157","contributorId":193831,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","email":"","middleInitial":"G.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":897162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":897163,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70255346,"text":"70255346 - 2024 - Inoculated biocrust cover and functions diverged over a gradient of soil textures and water availability","interactions":[],"lastModifiedDate":"2024-08-13T14:25:43.696479","indexId":"70255346","displayToPublicDate":"2024-03-21T06:35:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Inoculated biocrust cover and functions diverged over a gradient of soil textures and water availability","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Restoring biological crust (biocrust) in disturbed drylands is challenging due to the difficult environmental conditions, such as limited soil moisture, low soil nutrients, and extreme temperatures, that impede growth. Understanding how the key components of biocrust—mosses, lichens, and cyanobacteria—react to different environmental factors informs the optimal timing, locations, and species composition for biocrust reintroduction, thereby increasing the likelihood of establishment. Here, we inoculated soils with a diverse range of biocrust organisms, analogous to seeding an area with diverse vascular plant seeds, and varied environmental conditions to observe how these changes influenced the development and functions of reintroduced biocrust. We found that by manipulating soil texture and time spent wet, we can change the proportional cover of biocrust within a restoration-like setting. Specifically, we found that 4 months after inoculation, finer textured soils that received more water become dominated by moss cover, while coarser textured soils with less water remained dominated by cyanobacteria cover, and the interactions between texture and time spent wet strongly influenced cover. We found biocrust morphological group cover had a small, but detectable, effect on ecosystem functions (soil stability and nitrogenase activity, a proxy for nitrogen fixation), but that environmental conditions had a stronger impact on the functions we measured. Manipulative experiments in controlled environments, like this one, can help elucidate the mechanisms underlying the establishment rate and patterns of biocrusts post-inoculation, and inform implementation of inoculations in the field.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14125","usgsCitation":"Young, K.E., Reed, S., Morton, M., and Bowker, M., 2024, Inoculated biocrust cover and functions diverged over a gradient of soil textures and water availability: Restoration Ecology, v. 32, no. 6, e14125, 13 p., https://doi.org/10.1111/rec.14125.","productDescription":"e14125, 13 p.","ipdsId":"IP-103054","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490041,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2426983","text":"External Repository"},{"id":430356,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Bandelier National Monument, Frijoles Mesa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.30248661239976,\n              35.81239811519919\n            ],\n            [\n              -106.30248661239976,\n              35.797312035549155\n            ],\n            [\n              -106.28584316702194,\n              35.797312035549155\n            ],\n            [\n              -106.28584316702194,\n              35.81239811519919\n            ],\n            [\n              -106.30248661239976,\n              35.81239811519919\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":210572,"corporation":false,"usgs":false,"family":"Young","given":"Kristina","email":"","middleInitial":"E.","affiliations":[{"id":38116,"text":"Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79902, USA","active":true,"usgs":false}],"preferred":false,"id":904388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":904389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Michael","contributorId":339463,"corporation":false,"usgs":false,"family":"Morton","given":"Michael","email":"","affiliations":[{"id":81303,"text":"School of Forestry, Northern Arizona University, 200 E. Pine Knoll Drive, Flagstaff, AZ 86011, USA","active":true,"usgs":false}],"preferred":false,"id":904390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowker, Matthew A.","contributorId":240683,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew A.","affiliations":[],"preferred":false,"id":904391,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252625,"text":"70252625 - 2024 - Warm places, warm years, and warm seasons increase parasitizing of moose by winter ticks","interactions":[],"lastModifiedDate":"2024-04-01T11:19:27.37329","indexId":"70252625","displayToPublicDate":"2024-03-21T06:14:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Warm places, warm years, and warm seasons increase parasitizing of moose by winter ticks","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Observed links between parasites, such as ticks, and climate change have aroused concern for human health, wildlife population dynamics, and broader ecosystem effects. The one-host life history of the winter tick (<i>Dermacentor albipictus</i>) links each annual cohort to environmental conditions during three specific time periods when they are predictably vulnerable: spring detachment from hosts, summer larval stage, and fall questing for hosts. We used mixed-effects generalized linear models to investigate the drivers of tick loads carried by moose (<i>Alces alces</i>) relative to these time periods and across 750 moose, 10 years, and 16 study areas in the western United States. We tested for the effects of biotic factors (moose density, shared winter range, vegetation, migratory behavior) and weather conditions (temperature, snow, humidity) during each seasonal period when ticks are vulnerable and off-host. We found that warm climatic regions, warm seasonal periods across multiple partitions of the annual tick life cycle, and warm years relative to long-term averages each contributed to increased tick loads. We also found important effects of snow and other biotic factors such as host density and vegetation. Tick loads in the western United States were, on average, lower than those where tick-related die-offs in moose populations have occurred recently, but loads carried by some individuals may be sufficient to cause mortality. Lastly, we found interannual variation in tick loads to be most correlated with spring snowpack, suggesting this environmental component may have the highest potential to induce change in tick load dynamics in the immediate future of this region.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4799","usgsCitation":"DeCesare, N.J., Harris, R.B., Atwood, M., Bergman, E.A., , C., Cross, P., Fralick, G., Hersey, K., Hurley, M., Koser, T., Levine, R.L., Monteith, K., Newby, J., Peterson, C., Robertson, S.M., and Wise, B., 2024, Warm places, warm years, and warm seasons increase parasitizing of moose by winter ticks: Ecosphere, v. 15, no. 3, e4799, 15 p., https://doi.org/10.1002/ecs2.4799.","productDescription":"e4799, 15 p.","ipdsId":"IP-156720","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4799","text":"Publisher Index Page"},{"id":427260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"DeCesare, Nicholas J.","contributorId":200237,"corporation":false,"usgs":false,"family":"DeCesare","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Richard B.","contributorId":198309,"corporation":false,"usgs":false,"family":"Harris","given":"Richard","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":897746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, M. P.","contributorId":335215,"corporation":false,"usgs":false,"family":"Atwood","given":"M. P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":897747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergman, Eric A. 0000-0002-7069-8286","orcid":"https://orcid.org/0000-0002-7069-8286","contributorId":84513,"corporation":false,"usgs":false,"family":"Bergman","given":"Eric","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":897748,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Courtemanch","contributorId":204813,"corporation":false,"usgs":false,"given":"Courtemanch","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":897749,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":897750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fralick, Gary","contributorId":287797,"corporation":false,"usgs":false,"family":"Fralick","given":"Gary","affiliations":[{"id":56161,"text":"wygf","active":true,"usgs":false}],"preferred":false,"id":897751,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hersey, Kent","contributorId":99873,"corporation":false,"usgs":false,"family":"Hersey","given":"Kent","affiliations":[{"id":6763,"text":"Utah Division of Wildlife Resources, Salt Lake City, Utah","active":true,"usgs":false}],"preferred":false,"id":897752,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hurley, Mark A.","contributorId":287804,"corporation":false,"usgs":false,"family":"Hurley","given":"Mark A.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":897753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koser, T","contributorId":335217,"corporation":false,"usgs":false,"family":"Koser","given":"T","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":897754,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Levine, Rebecca L.","contributorId":296705,"corporation":false,"usgs":false,"family":"Levine","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":897755,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Monteith, Kevin","contributorId":279766,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":897756,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Newby, Jesse","contributorId":335218,"corporation":false,"usgs":false,"family":"Newby","given":"Jesse","affiliations":[{"id":40948,"text":"Montana Fish Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":897757,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Peterson, Collin","contributorId":335220,"corporation":false,"usgs":false,"family":"Peterson","given":"Collin","affiliations":[{"id":40948,"text":"Montana Fish Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":897758,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Robertson, Sarah M.","contributorId":335069,"corporation":false,"usgs":false,"family":"Robertson","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":897759,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wise, Benjamin","contributorId":189800,"corporation":false,"usgs":false,"family":"Wise","given":"Benjamin","affiliations":[],"preferred":false,"id":897760,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70252736,"text":"70252736 - 2024 - Novel insights about petroleum systems from source and reservoir rock characterization, Cretaceous Deposits, Babouri-Figuil Basin, Northern Cameroon","interactions":[],"lastModifiedDate":"2024-04-04T16:07:33.665151","indexId":"70252736","displayToPublicDate":"2024-03-20T10:57:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Novel insights about petroleum systems from source and reservoir rock characterization, Cretaceous Deposits, Babouri-Figuil Basin, Northern Cameroon","docAbstract":"<p><span>The Babouri-Figuil Basin (BFB) is a frontier basin for petroleum in Cameroon. It belongs to the series of Cretaceous rift basins of the West and Central Rift System (WCARS), the origin of which is related to the opening of the South Atlantic. Within the same rift system, commercial hydrocarbon accumulations have been discovered in Chad, Sudan, Niger and, more recently, in Nigeria (Gongola Basin). The study of the geology of the BFB just recently received considerable attention, mainly because of its presumed hydrocarbon potential. In the pursuit of researching possible petroleum systems in the BFB, the current study provides a first look into the characterization of source and reservoir rock and its integration into a 2D lithostratigraphic model. The study was solely based on outcrop samples. Black shale and massive claystone are good to excellent hydrocarbon source rocks [e.g., up to 38&nbsp;wt% total organic carbon (TOC), up to 943&nbsp;mg/g hydrogen index, up to 85&nbsp;m thickness, up to 20–30&nbsp;km lateral extension], with moderate to high values of extractable organic matter (e.g., &gt;10,000&nbsp;ppm). Calcareous claystone, on the other hand, are poor source rocks [e.g., &lt;0.20&nbsp;wt% TOC]. The samples are thermally immature, except for those located close to volcanic intrusion at Golombe that have reached the threshold for oil generation (Tmax &gt;435&nbsp;°C, production index &gt;0.1). The petrographic analysis of sandstone revealed that they are fine-grained to coarse-grained, poorly to moderately sorted, texturally and compositionally immature to submature, subarkosic to arkosic arenites. The main diagenetic processes that affected sandstones are as follows: moderate to intense compaction characterized by the development of long, concavo-convex, and sutured contacts between grains; cementation through calcite, iron oxide, and quartz cements; alteration of mica and feldspar grains; partial to complete dissolution of feldspar, mica, amphibole grains, and calcite cement; and the replacement of feldspar and mica grains by clay minerals. Alteration and dissolution increase the porosity of sandstone through the creation of secondary pores. However, mechanical compaction through the development of a pseudomatrix and cementation as pore-filling materials have significantly reduced the quality of sandstone beds as conventional petroleum reservoirs. Hence, the best reservoir-quality sandstones in the basin are generally located in the upper portion of the basin in terms of its lithostratigraphic model. They are the cleanest sandstones with the smallest amount of cement and the lowest ductile grain content (pseudomatrix), with a thickness that varies from 3&nbsp;m to 120&nbsp;m and a lateral extension of 20&nbsp;km. The lithostratigraphic model of the basin is characterized by an extensive lacustrine environment that provided a thick sequence of organic-rich formations; sand deposited as extensive reservoirs sandwiched between shale/claystone beds; the development of stratigraphic traps through lateral facies change; and the widespread deposition of lacustrine and floodplain claystone that provide regional seals. The similarities between the Babouri-Figuil Basin and proven petroleum systems in other WCARS rift basins suggest that the basin may host at least one petroleum system where actively generating source rocks are present.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2024.104491","usgsCitation":"Gaspard, M., Hatcherian, J.J., Hackley, P.C., Bessong, M., Bapowa, C., Pougue, H., and Meying, A., 2024, Novel insights about petroleum systems from source and reservoir rock characterization, Cretaceous Deposits, Babouri-Figuil Basin, Northern Cameroon: International Journal of Coal Geology, v. 285, 104491, 21 p., https://doi.org/10.1016/j.coal.2024.104491.","productDescription":"104491, 21 p.","ipdsId":"IP-158392","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":427402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Babouri-Figuil Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.666,\n              9.85\n            ],\n            [\n              13.666,\n              9.633\n            ],\n            [\n              14.033,\n              9.633\n            ],\n            [\n              14.033,\n              9.85\n            ],\n            [\n              13.666,\n              9.85\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaspard, Manga","contributorId":335306,"corporation":false,"usgs":false,"family":"Gaspard","given":"Manga","email":"","affiliations":[],"preferred":false,"id":898040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":898041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":898039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bessong, Moise","contributorId":335307,"corporation":false,"usgs":false,"family":"Bessong","given":"Moise","email":"","affiliations":[],"preferred":false,"id":898042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bapowa, Carole","contributorId":335308,"corporation":false,"usgs":false,"family":"Bapowa","given":"Carole","email":"","affiliations":[],"preferred":false,"id":898043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pougue, Henry","contributorId":335309,"corporation":false,"usgs":false,"family":"Pougue","given":"Henry","email":"","affiliations":[],"preferred":false,"id":898044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meying, Arsene","contributorId":335311,"corporation":false,"usgs":false,"family":"Meying","given":"Arsene","email":"","affiliations":[],"preferred":false,"id":898045,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261502,"text":"70261502 - 2024 - Changes in landscape and climate in Mexico and Texas reveal small effects on migratory habitat of monarch butterflies (Danaus plexippus)","interactions":[],"lastModifiedDate":"2024-12-13T14:14:04.429932","indexId":"70261502","displayToPublicDate":"2024-03-20T08:19:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Changes in landscape and climate in Mexico and Texas reveal small effects on migratory habitat of monarch butterflies (Danaus plexippus)","docAbstract":"<p><span>The decline of the iconic monarch butterfly (</span><i>Danaus plexippus</i><span>) in North America has motivated research on the impacts of land use and land cover (LULC) change and climate variability on monarch habitat and population dynamics. We investigated spring and fall trends in LULC, milkweed and nectar resources over a 20-year period, and ~ 30&nbsp;years of climate variables in Mexico and Texas, U.S. This region supports spring breeding, and spring and fall migration during the annual life cycle of the monarch. We estimated a − 2.9% decline in milkweed in Texas, but little to no change in Mexico. Fall and spring nectar resources declined &lt; 1% in both study extents. Vegetation greenness increased in the fall and spring in Mexico while the other climate variables did not change in both Mexico and Texas. Monarch habitat in Mexico and Texas appears relatively more intact than in the midwestern, agricultural landscapes of the U.S. Given the relatively modest observed changes in nectar and milkweed, the relatively stable climate conditions, and increased vegetation greenness in Mexico, it seems unlikely that habitat loss (quantity or quality) in Mexico and Texas has caused large declines in population size or survival during migration.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-024-56693-z","usgsCitation":"Diffendorfer, J., Botello, F., Drummond, M.A., Ancona, Z.H., Corro, L.M., Thogmartin, W.E., Ibsen, P.C., Moreno-Sanchez, R., Lukens, L., and Sanchez-Cordero, V., 2024, Changes in landscape and climate in Mexico and Texas reveal small effects on migratory habitat of monarch butterflies (Danaus plexippus): Scientific Reports, v. 14, 6703, 13 p., https://doi.org/10.1038/s41598-024-56693-z.","productDescription":"6703, 13 p.","ipdsId":"IP-158913","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467022,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-56693-z","text":"Publisher Index Page"},{"id":465063,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.8951121415543,\n              33.52250910960224\n            ],\n            [\n              -98.8951121415543,\n              18.97741303295362\n            ],\n            [\n              -93.69183868960087,\n              18.97741303295362\n            ],\n            [\n              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Francisco","contributorId":335190,"corporation":false,"usgs":false,"family":"Botello","given":"Francisco","email":"","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":920823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":920824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 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,{"id":70252087,"text":"sir20235134 - 2024 - Characterizing future streamflows in Massachusetts using stochastic modeling—A pilot study","interactions":[],"lastModifiedDate":"2026-01-30T19:34:44.108239","indexId":"sir20235134","displayToPublicDate":"2024-03-19T12:20:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5134","displayTitle":"Characterizing Future Streamflows in Massachusetts Using Stochastic Modeling—A Pilot Study","title":"Characterizing future streamflows in Massachusetts using stochastic modeling—A pilot study","docAbstract":"<p>Communities throughout Massachusetts face the potential effects of climate change, ranging from more extreme rainfall to more pronounced and frequent droughts. Understanding the effects of climate change on hydrology is important to State and community officials to evaluate the potential effects on infrastructure and water systems. To better understand the effects of climate change on hydrology, the U.S. Geological Survey, in partnership with Cornell University and Tufts University, conducted a study in cooperation with the Massachusetts Executive Office of Energy and Environmental Affairs to develop tools for projecting 21st-century climate and hydrologic characteristics in Massachusetts.</p><p>A stochastic weather generator was developed to project future climatic characteristics for Massachusetts. The stochastic weather generator estimates daily precipitation, minimum temperature, and maximum temperature for 17 warming scenarios (from 0 to 8 degrees Celsius, in 0.5-degree increments). To project future hydrologic characteristics, the stochastic weather generator output data were input to the Precipitation-Watershed Modeling System deterministic watershed model for the Squannacook River watershed, which is the watershed selected as the pilot study location for investigating future hydrologic characteristics. Hydrologic data output from the deterministic watershed model were then input to a stochastic watershed model developed for this study to correct model errors (model errors are often observed in the output from deterministic models at the high- and low-flow extremes). The output from the stochastic watershed model was then used to characterize hydrology for the 17 warming scenarios. For the Squannacook River watershed, the results project more extreme flood and low streamflows under the warming scenarios.</p><p>Output from the tools allows the characterization of future streamflows for the years 2030, 2050, 2070, and 2090, which expands our understanding of 21st-century climatic and hydrologic risk in Massachusetts. These tools could improve Federal, State, and community officials’ ability to mitigate the effects of climate change over the next several decades.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235134","collaboration":"Prepared in cooperation with the Massachusetts Executive Office of Energy and Environmental Affairs","usgsCitation":"Olson, S.A., Shabestanipour, G., Lamontagne, J., and Steinschneider, S., 2024, Characterizing future streamflows in Massachusetts using stochastic modeling—A pilot study: U.S. Geological Survey Scientific Investigations Report 2023–5134, 19 p., https://doi.org/10.3133/sir20235134.","productDescription":"Report: v, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149673","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":499396,"rank":7,"type":{"id":36,"text":"NGMDB Index 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 \"}}]}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Methodology</li><li>Characterizing Future Streamflows for the Squannacook River Using Stochastic Modeling Methods</li><li>Limitations</li><li>Database of Project Results</li><li>Summary</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-03-19","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Scott A. 0000-0002-1064-2125","orcid":"https://orcid.org/0000-0002-1064-2125","contributorId":210173,"corporation":false,"usgs":true,"family":"Olson","given":"Scott A.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shabestanipour, Ghazal","contributorId":303810,"corporation":false,"usgs":false,"family":"Shabestanipour","given":"Ghazal","email":"","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":896588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lamontagne, Jonathan","contributorId":303813,"corporation":false,"usgs":false,"family":"Lamontagne","given":"Jonathan","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":896589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steinschneider, Scott 0000-0002-8882-1908","orcid":"https://orcid.org/0000-0002-8882-1908","contributorId":206359,"corporation":false,"usgs":false,"family":"Steinschneider","given":"Scott","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":896590,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252192,"text":"ofr20241017 - 2024 - ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2023","interactions":[],"lastModifiedDate":"2026-06-09T16:30:04.733745","indexId":"ofr20241017","displayToPublicDate":"2024-03-19T11:21:03","publicationYear":"2024","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":"2024-1017","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 3, 2023","title":"ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2023","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.</p><p>This report provides observed geometric and radiometric analysis results for Landsats 7, 8, and 9 for quarter 3 (July–September) of 2023. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: <a href=\"https://earthexplorer.usgs.gov\" data-mce-href=\"https://earthexplorer.usgs.gov\">https://earthexplorer.usgs.gov</a>.</p><p>This is the first quarterly report to include analysis results for Landsat 9, which was launched in September 2021. The inclusion of Landsat 9 analysis results was dependent on two factors: a complete reprocessing of the Landsat 9 data archive and enough time elapsing to begin formulating lifetime trends. In April 2023, all Landsat 9 image data acquired since the satellite’s launch were reprocessed to take advantage of calibration updates identified by the ECCOE Landsat Cal/Val Team. Additional information about the Landsat 9 reprocessing effort is available at <a href=\"https://www.usgs.gov/landsat-missions/news/upcoming-reprocessing-all-landsat-9-data\" data-mce-href=\"https://www.usgs.gov/landsat-missions/news/upcoming-reprocessing-all-landsat-9-data\">https://www.usgs.gov/landsat-missions/news/upcoming-reprocessing-all-landsat-9-data</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241017","usgsCitation":"Haque, M.O., Rengarajan, R., Lubke, M., Hasan, M.N., Shrestha, A., Shaw, J.L., Denevan, A., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Thome, K., Kaita, E., Barsi, J., Levy, R., Miller, J., and Ding, L., 2024, ECCOE Landsat quarterly Calibration and Validation report—Quarter 3, 2023 (ver. 1.2, June 2026): U.S. Geological Survey Open-File Report 2024–1017, 65 p., https://doi.org/10.3133/ofr20241017.","productDescription":"Report: ix, 65 p.; Dataset","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-159043","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":464896,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1017/ofr20241017.XML","text":"XML","description":"OFR 2024–1017 XML"},{"id":464900,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1017/coverthb2.jpg"},{"id":504729,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241017/full","description":"OFR 2024-1017 HTML"},{"id":464897,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2024/1017/versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2024–1017 Version History"},{"id":426771,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov","text":"USGS database","linkHelpText":"—EarthExplorer"},{"id":464899,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1017/images/"},{"id":464904,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1017/ofr20241017.pdf","text":"Report","size":"5.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1017 PDF"}],"edition":"Version 1.0: March 19, 2024; Version 1.1: December 11, 2024; Version 1.2: June 9, 2026","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Landsat 9 Radiometric Performance Summary</li><li>Landsat 9 Geometric Performance Summary</li><li>Landsat 8 Radiometric Performance Summary</li><li>Landsat 8 Geometric Performance Summary</li><li>Landsat 7 Radiometric Performance Summary</li><li>Landsat 7 Geometric Performance Summary</li><li>Quarterly Level 2 Validation Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-03-19","revisedDate":"2026-06-09","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":896881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":896882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubke, Mark 0000-0002-7257-2337","orcid":"https://orcid.org/0000-0002-7257-2337","contributorId":261911,"corporation":false,"usgs":false,"family":"Lubke","given":"Mark","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":896883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":896884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":896885,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, Jerad L. 0000-0002-8319-2778","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":270396,"corporation":false,"usgs":false,"family":"Shaw","given":"Jerad L.","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":896886,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denevan, Alex 0000-0002-1215-3261","orcid":"https://orcid.org/0000-0002-1215-3261","contributorId":270398,"corporation":false,"usgs":false,"family":"Denevan","given":"Alex","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":896887,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruslander, Kathryn 0000-0003-3036-1731","orcid":"https://orcid.org/0000-0003-3036-1731","contributorId":330181,"corporation":false,"usgs":false,"family":"Ruslander","given":"Kathryn","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":896888,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":896889,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":251780,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":896890,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":896891,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thome, Kurt","contributorId":140792,"corporation":false,"usgs":false,"family":"Thome","given":"Kurt","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":896892,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kaita, Ed","contributorId":251782,"corporation":false,"usgs":false,"family":"Kaita","given":"Ed","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":896893,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":896894,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":896895,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":896896,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ding, Leibo","contributorId":330182,"corporation":false,"usgs":false,"family":"Ding","given":"Leibo","email":"","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":896897,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70261729,"text":"70261729 - 2024 - Managing ecosystems with resist-accept-direct (RAD)","interactions":[],"lastModifiedDate":"2024-12-20T17:02:36.796663","indexId":"70261729","displayToPublicDate":"2024-03-19T10:59:52","publicationYear":"2024","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":"Managing ecosystems with resist-accept-direct (RAD)","docAbstract":"<ol class=\"\"><li>In recent years considerable interest has been generated in a new approach known as<span>&nbsp;</span><i>resist</i>–<i>accept</i>–<i>direct</i>, or RAD, for managing ecosystems in the face of climate change. Under RAD, strategic responses to climate change are described in terms of three broad categories: resisting climate transformation, accepting the transformation and continuing to manage as best one can, and directing the transformed system toward novel ecological conditions. In particular, the potential for integrating RAD and adaptive management has been broadly considered, though absent a decision-making framework needed for implementation.</li><li>We propose a hierarchical decision scheme for RAD that accounts for strategy selection among the three RAD options, as well as adaptive decision making within each option. We use stochastic models and uncertainties about ecosystem processes to account for the dynamics of climate-transformed ecosystems, and show how these features can be used to inform RAD strategies. Operationally, the approach involves decisions at two levels: one level involves choosing a policy for each strategy, and the second level involves deciding which strategy has the greatest policy value.</li><li>The structure described here extends recent work in climate change adaptation, by including Markovian decisions under climate change, strategy-specific policies, and value functions for assessing and selecting RAD strategies. We provide a hierarchical accounting of decisions and responses, and develop rules for the timing of those decisions.</li><li>Combining RAD and adaptive management can help to organize thinking about ecological conservation under climate change, and focus attention on mechanisms for making decisions. We believe the structure presented here can facilitate conservation efforts under the non-stationary climate conditions we are sure to face for the foreseeable future.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14309","usgsCitation":"Williams, B.K., and Brown, E., 2024, Managing ecosystems with resist-accept-direct (RAD): Methods in Ecology and Evolution, v. 15, no. 5, p. 796-805, https://doi.org/10.1111/2041-210X.14309.","productDescription":"10 p.","startPage":"796","endPage":"805","ipdsId":"IP-162393","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":467023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14309","text":"Publisher Index Page"},{"id":465405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Byron K. 0000-0001-7644-1396","orcid":"https://orcid.org/0000-0001-7644-1396","contributorId":207067,"corporation":false,"usgs":true,"family":"Williams","given":"Byron","email":"","middleInitial":"K.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":921610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Ellie 0000-0001-7798-830X ebrown@usgs.gov","orcid":"https://orcid.org/0000-0001-7798-830X","contributorId":200491,"corporation":false,"usgs":true,"family":"Brown","given":"Ellie","email":"ebrown@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":false,"id":921611,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}