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These ecosystems provide key services such as food, water, forest products, flood prevention, carbon storage, climate moderation, recreational opportunities, and other cultural services. This chapter examines how changes in climatic conditions across the state are affecting different types of ecosystems and the services they provide, and considers likely future impacts of projected climate change. The chapter emphasizes how climate change is increasing the vulnerability of ecosystems to existing stressors, such as habitat fragmentation and invasive species, and highlights opportunities for New Yorkers to adapt and build resilience.</span></p>","language":"English","publisher":"New York Academy of Sciences","doi":"10.1111/nyas.15203","usgsCitation":"Hess, S., Burns, D., Boudinot, G., Brown-Lima, C., Corwin, J., Foppert, J., Robinson, G., Rose, K.C., Schlesinger, M., Shuford, R., and Stevens, A., 2024, New York State climate impacts assessment chapter 05: Ecosystems: Annals of the New York Academy of Sciences, v. 1542, no. 1, p. 253-340, https://doi.org/10.1111/nyas.15203.","productDescription":"88 p.","startPage":"253","endPage":"340","ipdsId":"IP-156511","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":502066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"1542","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hess, Sheila","contributorId":369172,"corporation":false,"usgs":false,"family":"Hess","given":"Sheila","affiliations":[{"id":87729,"text":"CC Environment and Planning","active":true,"usgs":false}],"preferred":false,"id":958568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boudinot, Garrett","contributorId":369177,"corporation":false,"usgs":false,"family":"Boudinot","given":"Garrett","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":958570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown-Lima, Carrie","contributorId":236893,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":958571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Corwin, Jason","contributorId":369181,"corporation":false,"usgs":false,"family":"Corwin","given":"Jason","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":958572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foppert, John","contributorId":369182,"corporation":false,"usgs":false,"family":"Foppert","given":"John","affiliations":[{"id":39895,"text":"Paul Smith's College","active":true,"usgs":false}],"preferred":false,"id":958573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, George","contributorId":140346,"corporation":false,"usgs":false,"family":"Robinson","given":"George","email":"","affiliations":[{"id":13465,"text":"Assoc. Professor, State University of New York at Albany","active":true,"usgs":false}],"preferred":false,"id":958574,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rose, Kevin C.","contributorId":174809,"corporation":false,"usgs":false,"family":"Rose","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":958575,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schlesinger, Matthew D.","contributorId":342842,"corporation":false,"usgs":false,"family":"Schlesinger","given":"Matthew D.","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":958576,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shuford, Rebecca","contributorId":369187,"corporation":false,"usgs":false,"family":"Shuford","given":"Rebecca","affiliations":[{"id":56145,"text":"New York Sea Grant","active":true,"usgs":false}],"preferred":false,"id":958577,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stevens, Amanda","contributorId":369214,"corporation":false,"usgs":false,"family":"Stevens","given":"Amanda","affiliations":[],"preferred":false,"id":958608,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70266447,"text":"70266447 - 2024 - Retention of T‐bar anchor tags by adult steelhead during their upstream migration","interactions":[],"lastModifiedDate":"2025-05-07T15:42:02.23731","indexId":"70266447","displayToPublicDate":"2024-12-08T08:35:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Retention of T‐bar anchor tags by adult steelhead during their upstream migration","docAbstract":"<p>Objective: </p><p>T-bar anchor tags can be used to obtain recapture data from anglers, directly estimate exploitation, and evaluate population dynamics. Unfortunately, their use by biologists to study anadromous salmonid fisheries is limited. Two hurdles to adoption include the functional difficulty of tagging large anadromous salmonids using conventional tagging equipment and a lack of information on tag loss by large anadromous salmonids and how it changes over time. As such, our objectives were to (1) describe a T-bar anchor tagging system modified to study adult steelhead <i>Oncorhynchus mykiss</i> (i.e., anadromous Rainbow Trout) and (2) present an instantaneous tag loss model for steelhead that allows estimation of tag loss over time. </p><p>Methods: First, we developed a modified tagging system by tagging hatchery-obtained steelhead carcasses and live, resident Rainbow Trout &gt;500 mm using a variety of hardware and tag dimensions. Next, we double-tagged adult steelhead captured at the Lower Granite Dam adult fish trap, Washington, USA. We then used data from 182 recaptured steelhead to fit an instantaneous tag loss model. Last, we investigated whether steelhead tag loss was related to body length. </p><p>Result: Tag loss was generally low within the time period under study (i.e., up to 221 days between release and recapture). The estimated probability of tag loss was 0.034 at release, 0.044 at one month, and 0.113 at eight months. We failed to detect significant differences in tag loss parameters between two subsets of small (&lt;720 mm) and large (≥720 mm) steelhead. </p><p>Conclusion: T-bar anchor tags are useful external tags for studying adult steelhead during their upstream migration. Because anglers can be used to provide recapture data, T-bar anchor tags may be particularly useful where angler effort is high or direct estimation of fishery exploitation is desired.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.11055","usgsCitation":"Voss, N.S., McCormick, J., Lubenau, W., Bowersox, B.J., Copeland, T., and Quist, M.C., 2024, Retention of T‐bar anchor tags by adult steelhead during their upstream migration: North American Journal of Fisheries Management, v. 44, no. 6, p. 1385-1391, https://doi.org/10.1002/nafm.11055.","productDescription":"7 p.","startPage":"1385","endPage":"1391","ipdsId":"IP-162952","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Granite Dam, Snake River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.7515022516423,\n              47.195723484659\n            ],\n            [\n              -119.7515022516423,\n              46.04149363558699\n            ],\n            [\n              -117.09892399655794,\n              46.04149363558699\n            ],\n            [\n              -117.09892399655794,\n              47.195723484659\n            ],\n            [\n              -119.7515022516423,\n              47.195723484659\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":300117,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":935996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Joshua L.","contributorId":354615,"corporation":false,"usgs":false,"family":"McCormick","given":"Joshua L.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubenau, William J.","contributorId":354616,"corporation":false,"usgs":false,"family":"Lubenau","given":"William J.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":935998,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowersox, Brett J.","contributorId":265299,"corporation":false,"usgs":false,"family":"Bowersox","given":"Brett","email":"","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935999,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Copeland, Timothy","contributorId":265301,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":936000,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936001,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262028,"text":"70262028 - 2024 - Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii)","interactions":[],"lastModifiedDate":"2025-01-10T16:25:20.923883","indexId":"70262028","displayToPublicDate":"2024-12-06T10:17:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Using remote sensing to identify habitat for wintering Henslow's Sparrows (<i>Centronyx henslowii</i>)","title":"Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii)","docAbstract":"<p><span>The Henslow's Sparrow (</span><i>Centronyx henslowii</i><span>) is a grassland bird species that overwinters in the southeastern United States and is a species of conservation concern due to population declines primarily caused by habitat loss. Henslow's Sparrows often overwinter in marginal habitats, such as powerline rights-of-way (ROWs), clear cuts, and field edges that provide some of their desired habitat characteristics, such as low-to-no tree cover and a diverse herbaceous understory. Using remote sensing methods, we evaluated the habitat characteristics of Henslow's Sparrow–occupied ROWs in southeastern Georgia. We calculated 22 satellite imagery metrics from Sentinel 2-L2 10 m resolution imagery, including single-pixel variables (e.g., Enhanced Vegetation Index, EVI) as well as “image texture” metrics that represent spatial heterogeneity. Using Random Forest models, we evaluated whether satellite imagery metrics could be used to discriminate between Henslow's Sparrow used areas (delineated from telemetry data) and surrounding available areas. Satellite imagery metrics were successful in predicting habitat characteristics in the ROWs (as evaluated by out-of-bag error and 3 goodness-of-fit tests), with image texture metrics performing better than single-pixel metrics. Image texture metrics were 9 of the top 10 most important predictors of habitat use in the best performing model that had a 500 m available buffer around use areas (out-of-bag error rate 21.21%). The most important image texture metric, cluster shade, was positively correlated with tree cover; Henslow's Sparrows were more likely to use areas with intermediate levels of cluster shade. From our results, we concluded that image texture metrics derived from 10 m satellite imagery could be used to predict sites that have suitable overwintering habitat for Henslow's Sparrows, but only at coarse resolutions and broader extents (hundreds of meters to kilometers). Therefore, this tool could be used to identify other ROWs (and possibly non-ROWs) with habitat that may support this and other declining grassland species.</span></p>","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/23-00049","usgsCitation":"Moore, S., Dwire, A., Prebyl, T., Schneider, T., and Hunter, E.A., 2024, Using remote sensing to identify habitat for wintering Henslow's Sparrows (Centronyx henslowii): The Wilson Journal of Ornithology, v. 136, no. 4, p. 436-447, https://doi.org/10.1676/23-00049.","productDescription":"12 p.","startPage":"436","endPage":"447","ipdsId":"IP-154594","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Moody Forest Wildlife Management Area, Townsend Wildlife Management Area, Paulks Pasture Wildlife Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.57525588321172,\n              32.48251517887438\n            ],\n            [\n              -82.66578654540206,\n              31.015534685580576\n            ],\n            [\n              -81.36949067181612,\n              30.978771137717928\n            ],\n            [\n              -80.93094224410345,\n              32.04324987692853\n            ],\n            [\n              -82.57525588321172,\n              32.48251517887438\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Sierra A.","contributorId":347927,"corporation":false,"usgs":false,"family":"Moore","given":"Sierra A.","affiliations":[{"id":81880,"text":"Department of Fish and Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":922751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dwire, Abigail W.","contributorId":347929,"corporation":false,"usgs":false,"family":"Dwire","given":"Abigail W.","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":922752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prebyl, Thomas J.","contributorId":347930,"corporation":false,"usgs":false,"family":"Prebyl","given":"Thomas J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":922753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schneider, Todd M.","contributorId":347932,"corporation":false,"usgs":false,"family":"Schneider","given":"Todd M.","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":922754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922755,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264044,"text":"70264044 - 2024 - Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts","interactions":[],"lastModifiedDate":"2025-03-05T16:27:26.437342","indexId":"70264044","displayToPublicDate":"2024-12-06T10:17:30","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-161-2024","title":"Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts","docAbstract":"<p>This document describes the results of a 2.5-day rapid decision prototype workshop that evaluated management activities for chronic wasting disease (CWD) in Massachusetts (MA) that were either proactive (i.e., actions taken prior to CWD arrival/detection) or reactive (i.e., actions taken after CWD arrival/detection). The workshop was led by members of the Wildlife Section of the MA Division of Fisheries and Wildlife (hereafter referred to as MassWildlife) and included a group of agency communications specialists and district managers. U. S. Geological Survey staff and a volunteer acted as decision facilitators and led the analysis of the decision. </p><p>Chronic wasting disease is an always fatal neurological disease that has spread across much of North America and threatens the health of deer populations in locations where it occurs (reviewed by Escobar et al. 2020). CWD can spread into new areas via two general mechanisms: (1) natural spread (e.g., dispersal of CWD-infected male white-tailed deer [Odocoileus virginianus]), and (2) anthropogenic spread (e.g., CWD spread facilitated by human intervention; Leiss et al. 2017, Escobar et al. 2020). Once CWD arrives in a state, natural resources agencies spend eight times more on CWD than agencies with no known cases; to cover these new CWD-related management activities, the natural resources agencies are typically forced to reallocate money from existing conservation priorities (Chiavacci, 2022). As of May 2024, there were 34 U.S. states and five Canadian provinces that had detected CWD positive free-ranging and/or captive animals in the family Cervidae (collectively referred to as ‘cervid’ hereafter), and the number of new states/provinces that are detecting CWD for the first time continues to grow (U. S. Geological Survey, May 2024). As of February 2024, the closest CWD positive state to MA with CWD detected in free-ranging white-tailed deer is Pennsylvania. To date, there have been no detections of CWD in MA, but testing has been limited in MA since 2012. The growing number of CWD positive states suggests that there may be increasing risk of CWD entering and establishing in MA as the number of CWD cases increases across North America. </p><p>According to a 2023 survey of hunters in MA conducted by MassWildlife, 68% of hunters were concerned about CWD entering MA, and 88% of respondents said that it was at least moderately important to keep CWD out of MA; these survey results indicate that most hunters may support CWD risk reduction actions (Martin Feehan, Massachusetts Division of Fisheries and Wildlife, oral communication, 12 Feb 2024). In addition, 23.1% of responding deer hunters in MA have hunted for cervids in CWD-positive states/provinces in the last five years (not including states/provinces that have been able to successfully eradicate CWD following a positive detection). Participants of the survey were also asked, “how many deer have you harvested that tested positive for CWD?”. A total of three respondents said that they had one deer test positive for CWD, which, when extended to the whole population of MA deer hunters, results in an estimated 32 CWD positive deer harvested in CWD-positive states and imported into MA in the last five years. When asked about how they transport harvested deer from out of state into MA, the three participants indicated either “already processed &amp; packaged” or “not applicable.” Note, that in MA, it is a violation of regulation to import whole carcasses or high-risk parts (e.g., head, brain, spinal tissues, bones) of any member of the Cervidae family (wild or captive) from a state/province that has detected CWD; it is legal to bring in deboned meat, cleaned skull caps, hides without the head, or a fixed taxidermy mount (Massachusetts Division of Fisheries and Wildlife, 2024a). </p><p>To date, testing for CWD has been limited in MA since 2012. However, the data collected from the 2023 MA hunter survey suggests that there is a real risk of CWD being imported by a MA resident who has hunted in a CWD positive state. Therefore, given the higher costs of CWD management post arrival, the potential natural spread of CWD from nearby states, and the risk of CWD introduction via humanmediated cervid movement, MassWildlife is motivated to take actions that minimize the risk of CWD introduction and spread in MA with the ultimate goal of managing thriving wildlife populations and maximizing hunter and general public satisfaction, which are both parts of the MassWildlife mission. </p><p>A 2.5-day rapid prototyping structured decision making workshop was held with MassWildlife staff to develop a decision framework for CWD management in MA. During the workshop, we defined the context and extent of CWD management activities in MA. Next, we identified four fundamental objectives that help achieve the mission of MassWildlife and that address stakeholder concerns. The fundamental objectives included: (1) maximizing hunter satisfaction and participation, (2) maximizing public satisfaction (non-consumptive), (3) maximizing health and sustainability of cervids, and (4) maximizing the efficiency of CWD management. Then, we generated a list of five alternatives (i.e., strategies) that varied the intensity of proactive and reactive actions. The five strategies were: (1) minimal proactive and minimal reactive actions, (2) intermediate proactive and intermediate reactive actions, (3) intensive proactive and intermediate reactive actions, (4) minimal proactive and intensive reactive actions, and (5) intensive proactive and intensive reactive actions. Lastly, we estimated the performance of each strategy on the fundamental objectives and assessed the overall performance of strategies relative to one another. We did so by first estimating the consequences of each alternative strategy on fundamental objectives using expert elicitation, and then, we elicited objective weights from MassWildlife staff to incorporate the relative importance of different fundamental objectives. </p><p>Given that it is unknown when CWD will arrive in MA, we evaluated the performance of alternative strategies against fundamental objectives given three distinct scenarios for time to arrival of CWD: introduction in 2.5, 7.5, or 10+ years. The preliminary results of the rapid prototype indicate that the performance of the CWD management strategies that we evaluated depends on when CWD first arrives in MA. If CWD were to arrive in 2.5 or 7.5 years from now (February, 2024), then the ‘minimal proactive and minimal reactive’ strategy performs the best on both the deer population and cost fundamental objectives (fundamental objectives 3 &amp; 4), but the ‘intensive proactive and intensive reactive’ strategy performs best on both of the human dimensions fundamental objectives (fundamental objectives 1 &amp; 2) as well as the minimize CWD prevalence objective (also related to fundamental objective 3). We also found that public trust is likely to remain high across all five alternative strategies if CWD arrives after year 10, but public trust decreases if CWD arrives in year 2.5 or 7.5. After incorporating objective weights, we found that in scenarios where CWD arrives in the near-term (in years 2.5 or 7.5), an intermediate strategy (e.g., ‘intermediate proactive and intermediate reactive’ or ‘intensive proactive and intermediate reactive’) performed best, and the ‘minimal proactive and intensive reactive’ strategy performed worst. Conversely, if CWD were to arrive after 10 years, then the ‘minimal proactive and minimal reactive’ and ‘minimal proactive and intensive reactive’ strategies performed best. Collectively, these results suggest that the decision on which alternative strategy to employ is sensitive to when CWD arrives in MA. Following the discussion of the preliminary results, we identified the following four next steps. First, we discussed how a more detailed communications plan is needed and would likely alter the performance estimates of the alternative strategies on fundamental objectives 1 &amp; 2, which were hunter and public satisfaction, respectively. The development of the communication plan would likely be easier once the alternative actions have been identified along with the audience and message. Second, a surveillance plan could be a useful tool to inform CWD management. Surveillance for CWD was performed in MA annually from 2002 to 2012 (n = 4,356 wild white-tailed deer and moose [Alces alces] samples). Limited surveillance was conducted from 2013 to 2022; and in 2023, 242 wild samples were collected. It is not clear whether MA needs a robust or minimal surveillance plan (e.g., is a minimal surveillance plan enough to detect the pathogen at the threshold that would trigger action?), or what type of invasion event the surveillance plan should target (e.g., natural vs anthropogenic spread events). The use of decision trees and a formal risk assessment may help answer these questions. Third, some of the elicited estimates from experts during this rapid prototype could be replaced with empirical data. Lastly, given that the decision was sensitive to when CWD arrived in MA and a surveillance plan would rely on the mode of introduction, forecasting and predicting the CWD invasion front and/or the likelihood of different incursion events across MA would provide valuable insights.&nbsp;</p>","language":"English","publisher":"Department of Interior, Fish and Wildlife Service","usgsCitation":"Feehan, M., Cook, J.D., McEachran, M., McCarthy, S.M., Wattles, D., Crawford, M., Huguenin, M., and DiRenzo, G.V., 2024, Structured decision-making workshop: Chronic wasting disease management in free-ranging cervids in Massachusetts: Cooperator Science Series FWS/CSS-161-2024, ii, 37 p.","productDescription":"ii, 37 p.","ipdsId":"IP-166330","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":482872,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70262027,"text":"70262027 - 2024 - A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution","interactions":[],"lastModifiedDate":"2025-01-10T15:51:46.279157","indexId":"70262027","displayToPublicDate":"2024-12-06T09:46:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution","docAbstract":"<p><span>Different theoretical frameworks have been invoked to guide the study of virus evolution. Three of the more prominent ones are (i) the evolution of virulence, (ii) life history theory, and (iii) the generalism–specialism dichotomy. All involve purported tradeoffs between traits that define the evolvability and constraint of virus-associated phenotypes. However, as popular as these frameworks are, there is a surprising paucity of direct laboratory tests of the frameworks that support their utility as broadly applicable theoretical pillars that can guide our understanding of disease evolution. In this study, we conduct a meta-analysis of direct experimental evidence for these three frameworks across several widely studied virus–host systems: plant viruses, fungal viruses, animal viruses, and bacteriophages. We extracted 60 datasets from 28 studies and found a range of relationships between traits in different analysis categories (e.g., frameworks, virus–host systems). Our work demonstrates that direct evidence for relationships between traits is highly idiosyncratic and specific to the host–virus system and theoretical framework. Consequently, scientists researching viral pathogens from different taxonomic groups might reconsider their allegiance to these canons as the basis for expectation, explanation, or prediction. Future efforts could benefit from consistent definitions, and from developing frameworks that are compatible with the evidence and apply to particular biological and ecological contexts.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ve/veae105","usgsCitation":"Kabengele, K., Turner, W.C., Turner, P., and Ogbunugafor, C., 2024, A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution: Virus Evolution, v. 10, no. 1, veae105, 13 p., https://doi.org/10.1093/ve/veae105.","productDescription":"veae105, 13 p.","ipdsId":"IP-158849","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veae105","text":"Publisher Index Page"},{"id":465990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kabengele, Ketty","contributorId":347923,"corporation":false,"usgs":false,"family":"Kabengele","given":"Ketty","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Paul E.","contributorId":348136,"corporation":false,"usgs":false,"family":"Turner","given":"Paul E.","affiliations":[],"preferred":false,"id":922748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogbunugafor, C. Brandon","contributorId":347925,"corporation":false,"usgs":false,"family":"Ogbunugafor","given":"C. Brandon","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262778,"text":"70262778 - 2024 - Rock sample photogrammetry","interactions":[],"lastModifiedDate":"2026-03-02T15:54:48.581032","indexId":"70262778","displayToPublicDate":"2024-12-05T09:26:13","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19901,"text":"Protocols.io","active":true,"publicationSubtype":{"id":32}},"title":"Rock sample photogrammetry","docAbstract":"<p>This step-by-step protocol describes the photogrammetry process used by the U.S. Geological Survey Spokane Imaging Lab (SPIMG) lab to create 3D models of geologic samples. Steps related to photographing small objects are applicable to photogrammetry in general, however, SPIMG-specific steps involving lab hardware and software may not be.</p>","language":"English","publisher":"Protocols.io","doi":"10.17504/protocols.io.kqdg3xy67g25/v1","usgsCitation":"Evart, L., 2024, Rock sample photogrammetry: Protocols.io, https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1.","productDescription":"HTML Document","ipdsId":"IP-171668","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":480921,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489122,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evart, Lucas Leonidus 0000-0002-3442-0922","orcid":"https://orcid.org/0000-0002-3442-0922","contributorId":302525,"corporation":false,"usgs":true,"family":"Evart","given":"Lucas Leonidus","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262438,"text":"70262438 - 2024 - Abundance-mediated species interactions","interactions":[],"lastModifiedDate":"2025-01-22T15:12:17.729427","indexId":"70262438","displayToPublicDate":"2024-12-05T08:07:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Abundance-mediated species interactions","docAbstract":"<p><span>Species interactions shape biodiversity patterns, community assemblage, and the dynamics of wildlife populations. Ecological theory posits that the strength of interspecific interactions is fundamentally underpinned by the population sizes of the involved species. Nonetheless, prevalent approaches for modeling species interactions predominantly center around occupancy states. Here, we use simulations to illuminate the inadequacies of modeling species interactions solely as a function of occupancy, as is common practice in ecology. We demonstrate erroneous inference into species interactions due to error in parameter estimates when considering species occupancy alone. To address this critical issue, we propose, develop, and demonstrate an abundance-mediated interaction framework designed explicitly for modeling species interactions involving two or more species from detection/non-detection data. We present Markov chain Monte Carlo (MCMC) samplers tailored for diverse ecological scenarios, including intraguild predation, disease- or predator-mediated competition, and trophic cascades. Illustrating the practical implications of our approach, we compare inference from modeling the interactions in a three-species network involving coyotes (</span><i>Canis latrans</i><span>), fishers (</span><i>Pekania pennanti</i><span>), and American marten (</span><i>Martes americana</i><span>) in North America as a function of occupancy states and as a function of abundance. When modeling interactions as a function of abundance rather than occupancy, we uncover previously unidentified interactions. Our study emphasizes that accounting for abundance-mediated interactions rather than simple co-occurrence patterns can fundamentally alter our comprehension of system dynamics. Through an empirical case study and comprehensive simulations, we demonstrate the importance of accounting for abundance when modeling species interactions, and we present a statistical framework equipped with MCMC samplers to achieve this paradigm shift in ecological research.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.4468","usgsCitation":"Twining, J., Augustine, B., Royle, A., and Fuller, A.K., 2024, Abundance-mediated species interactions: Ecology, v. 106, no. 1, e4468, 20 p., https://doi.org/10.1002/ecy.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-161645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4468","text":"Publisher Index Page"},{"id":480918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":924216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924218,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263948,"text":"70263948 - 2024 - The Europa Imaging System (EIS) investigation","interactions":[],"lastModifiedDate":"2025-03-03T15:02:35.251643","indexId":"70263948","displayToPublicDate":"2024-12-04T08:55:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Europa Imaging System (EIS) investigation","docAbstract":"<p><span>The Europa Imaging System (EIS) consists of a Narrow-Angle Camera (NAC) and a Wide-Angle Camera (WAC) that are designed to work together to address high-priority science objectives regarding Europa’s geology, composition, and the nature of its ice shell. EIS accommodates variable geometry and illumination during rapid, low-altitude flybys with both framing and pushbroom imaging capability using rapid-readout, 8-megapixel (4k × 2k) detectors. Color observations are acquired using pushbroom imaging with up to six broadband filters. The data processing units (DPUs) perform digital time delay integration (TDI) to enhance signal-to-noise ratios and use readout strategies to measure and correct spacecraft jitter. The NAC has a 2.3° × 1.2° field of view (FOV) with a 10-μrad instantaneous FOV (IFOV), thus achieving 0.5-m pixel scale over a swath that is 2&nbsp;km wide and several km long from a range of 50&nbsp;km. The NAC is mounted on a 2-axis gimbal, ±30° cross- and along-track, that enables independent targeting and near-global (≥90%) mapping of Europa at ≤100-m pixel scale (to date, only ∼15% of Europa has been imaged at ≤900 m/pixel), as well as stereo imaging from as close as 50-km altitude to generate digital terrain models (DTMs) with ≤4-m ground sample distance (GSD) and ≤0.5-m vertical precision. The NAC will also perform observations at long range to search for potential erupting plumes, achieving 10-km pixel scale at a distance of one million kilometers. The WAC has a 48° × 24° FOV with a 218-μrad IFOV, achieving 11-m pixel scale at the center of a 44-km-wide swath from a range of 50&nbsp;km, and generating DTMs with 32-m GSD and ≤4-m vertical precision. The WAC is designed to acquire three-line pushbroom stereo and color swaths along flyby ground-tracks.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11214-024-01115-9","usgsCitation":"Turtle, E., McEwen, A., Patterson, G., Ernst, C.M., Elder, C., Slack, K., Hawkins, S., McDermott, J., Meyer, H.M., DeMajistre, R., Espiritu, R., Seifert, H., Niewola, J., Bland, M.T., Becker, M., Centurelli, J., Collins, G., Corlies, P., Darlington, H., Daubar, I.J., Derr, C., Detelich, C., Donald, E., Edens, W., Fletcher, L., Gardner, C., Graham, F., Hansen, C., Haslebacher, C., Hayes, A., Humm, D., Hurford, T., Kirk, R.L., Kutsop, N.W., Lees, W., Lewis, D.T., London, S., Magner, A., Mills, M., Barr Mlinar, A., Morgan, F., Nimmo, F., Ocasio Milanes, A., Osterman, S., Phillips, C., Pommerol, A., Prockter, L., Quick, L., Robbins, G., Soderblom, J., Stewart, B., Stickle, A., Sutton, S., Thomas, N., Torres, I., Tucker, O., Van Auken, R., and Wilk, K., 2024, The Europa Imaging System (EIS) investigation: Space Science Reviews, v. 220, 91, 68 p., https://doi.org/10.1007/s11214-024-01115-9.","productDescription":"91, 68 p.","ipdsId":"IP-165720","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487716,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-024-01115-9","text":"Publisher Index Page"},{"id":482734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Turtle, E.P.","contributorId":351657,"corporation":false,"usgs":false,"family":"Turtle","given":"E.P.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, A.S.","contributorId":202347,"corporation":false,"usgs":false,"family":"McEwen","given":"A.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":929252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, G.W.","contributorId":238743,"corporation":false,"usgs":false,"family":"Patterson","given":"G.W.","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":929253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ernst, C. 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Life history alterations could occur due to individual stressors, such as warming temperatures altering terrapin sex ratios. However, because of the complexity of these coastal systems, these stressors could also act additively or synergistically. 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,{"id":70261248,"text":"sir20245115 - 2024 - Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024","interactions":[],"lastModifiedDate":"2025-12-22T21:00:37.290202","indexId":"sir20245115","displayToPublicDate":"2024-12-04T06:45:00","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":"2024-5115","displayTitle":"Flood-Inundation Maps for the Cuyahoga River at Jaite, Ohio, 2024","title":"Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024","docAbstract":"<p>Digital flood-inundation maps for a nearly 6-mile reach of the Cuyahoga River at Jaite, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees. The maps depict estimates of the extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 04206425 on the Cuyahoga River at Jaite, Ohio.</p><p>Water-surface profiles were computed for the stream reach by using a one-dimensional steady-state step-backwater model. The hydraulic model was calibrated to the current USGS streamgage data and then used to compute 15 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 6 to 20 feet, which correspond to below “action stage” to “major flood stage” as reported by the National Weather Service. The simulated water-surface profiles were then used with a geographic information system digital elevation model derived from light detection and ranging data to delineate the areas flooded at each stage.</p><p>These maps, along with current stage data from the USGS streamgage and forecasted high-flow stages from the National Weather Service, can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245115","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2024, Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024: U.S. Geological Survey Scientific Investigations Report 2024–5115, 12 p., https://doi.org/10.3133/sir20245115.","productDescription":"Report: vi, 12 p.; 1 Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158402","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":497897,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118059.htm","linkFileType":{"id":5,"text":"html"}},{"id":464690,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O3MYQ0","text":"USGS data release","linkHelpText":"Geospatial datasets and hydraulic model for flood-inundation maps of Cuyahoga River at Jaite, Ohio"},{"id":464689,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5115/images/"},{"id":464688,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5115 XML"},{"id":464685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5115/coverthb.jpg"},{"id":464686,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.pdf","text":"Report","size":"3.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5115 PDF"},{"id":464687,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245115/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5115 HTML"}],"country":"United States","state":"Ohio","city":"Jaite","otherGeospatial":"Cuyahoga River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.6,\n              41.3167\n            ],\n            [\n              -81.6,\n              41.25\n            ],\n            [\n              -81.5,\n              41.25\n            ],\n            [\n              -81.5,\n              41.3167\n            ],\n            [\n              -81.6,\n              41.3167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:GS-W-OKI_Director@usgs.gov\" data-mce-href=\"mailto:GS-W-OKI_Director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Standard Procedures for Creating a Flood Map</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-12-04","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Whitehead, Matthew T. 0000-0002-4888-2597 mtwhiteh@usgs.gov","orcid":"https://orcid.org/0000-0002-4888-2597","contributorId":218036,"corporation":false,"usgs":true,"family":"Whitehead","given":"Matthew T.","email":"mtwhiteh@usgs.gov","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920111,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270827,"text":"70270827 - 2024 - Increasing soil water drought in response to altered precipitation timing across the western United States","interactions":[],"lastModifiedDate":"2025-08-25T14:50:40.293404","indexId":"70270827","displayToPublicDate":"2024-12-04T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Increasing soil water drought in response to altered precipitation timing across the western United States","docAbstract":"<p><span>Recent trends of rising temperatures and longer droughts between precipitation events are impacting water-limited dryland ecosystems in the western United States. Although ecosystem drought response depends directly on soil moisture, trends in soil moisture (e.g., edaphic drought) remain more poorly explored than precipitation (e.g., meteorological drought), representing an important knowledge gap. Here, we applied the SOILWAT2 ecosystem water balance model to quantify long-term trends of soil moisture and edaphic drought using observed daily weather from 1976 to 2019 at 337 stations across the western United States. We assessed edaphic drought for different plant community types (grass dominated vs. shrub dominated), and explored variations with soil depth and texture. The duration of the longest edaphic drought in a given year increased by 1.5 ± 0.2 days/decade for grassy and 1.7 ± 0.2 days/decade for woody vegetation. Importantly, these trends in edaphic drought were consistent with but greater in magnitude compared with meteorological drought indicating more severe water stress for both plants and ecosystems. The correlation between meteorological drought and edaphic drought was greater under woody vegetation (0.45) compared with grass (0.34) and greater at surface soil depths (0–20 cm; 0.46) compared with the deeper soil (20–100 cm; 0.34). Among soil textures, the correlation between meteorological and edaphic drought was highest on sandy soils and lowest on finer textured silty soils. Using the biogeographic domains (eight western NEON domains), we found that the Pacific Northwest, Pacific Southwest, and Desert Southwest exhibited the strongest increases in edaphic drought through time, but lower correlation between meteorological and edaphic droughts. These findings characterize strong but variable connections between edaphic drought and meteorological drought across the western United States and demonstrate the critical influences of vegetation type, soil depth, and soil properties in mediating the magnitude and spatial distribution of edaphic drought.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.2749","usgsCitation":"Zhang, F., Biederman, J.A., Schlaepfer, D.R., Bradford, J.B., Reed, S.C., and Smith, W.K., 2024, Increasing soil water drought in response to altered precipitation timing across the western United States: Ecohydrology, v. 18, no. 2, e2749, 12 p., https://doi.org/10.1002/eco.2749.","productDescription":"e2749, 12 p.","ipdsId":"IP-163653","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2749","text":"Publisher Index Page"},{"id":494732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.86807902477261,\n              49.588522649130624\n            ],\n            [\n              -125.36941038239132,\n              41.02167216747373\n            ],\n            [\n              -122.62525956962213,\n              32.782718887450514\n            ],\n            [\n              -101.22796660251535,\n              31.03128157801875\n            ],\n            [\n              -101.22796660251535,\n              49.588522649130624\n            ],\n            [\n              -125.86807902477261,\n              49.588522649130624\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721","active":true,"usgs":false}],"preferred":false,"id":947146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biederman, Joel A.","contributorId":360505,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","middleInitial":"A.","affiliations":[{"id":86023,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, AZ 85719, USA","active":true,"usgs":false}],"preferred":false,"id":947147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, William K.","contributorId":360506,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"K.","affiliations":[{"id":86024,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA","active":true,"usgs":false}],"preferred":false,"id":947151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261232,"text":"ofr20241071 - 2024 - Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2025-12-22T20:41:07.836719","indexId":"ofr20241071","displayToPublicDate":"2024-12-03T13:00:00","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":"2024-1071","displayTitle":"Using the Horizontal-to-Vertical Spectral Ratio Method to Estimate Thickness of the Barry Arm Landslide, Prince William Sound, Alaska","title":"Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska","docAbstract":"<p>Conducting detailed investigations of large landslides is difficult, especially in the subsurface, largely due to environmental factors such as steep slopes, difficult access, and numerous objective hazards. These factors have made it challenging to accurately estimate the depth to the failure surface of the Barry Arm landslide, a large (roughly 10<sup>8</sup> cubic meters), deep-seated bedrock landslide in Prince William Sound, Alaska, recognized in 2019. The landslide has exhibited accelerated movement in recent years and poses a potential tsunamigenic hazard if rapid failure occurs. Failure surface depth, equivalent to landslide thickness, is a necessary metric for landslide-volume calculations and associated tsunami wave models. In this report, we used seismic noise recorded by a seismometer located on the Barry Arm landslide in Alaska to calculate the horizontal-to-vertical spectral ratio (HVSR) to investigate the site fundamental frequency (<i>f<sub>0</sub></i>) and depth of the failure surface. To ensure that observed peak frequencies in the spectral ratio were related to the underlying stratigraphy (and not caused by other noise sources like nearby glaciers, topographic resonance, weather, or human activities), we also calculated HVSRs using earthquake signals, HVSRs at other seismic stations within a 2.5-kilometer radius, and a standard spectral ratio between the landslide station and other sites. We observed multiple peaks in the landslide HVSR curves at 1.5 hertz (Hz), 4–5 Hz, and 7–11 Hz. The frequencies of these peaks were consistent at the landslide site through time and across methods and were dissimilar to those identified at other seismic stations in the area, making it unlikely the peaks were caused by local noise.</p><p>Directional HVSRs calculated at 15-degree intervals showed amplification of the higher frequency peaks in the direction parallel to slip, indicating two-dimensional site effects. We used the distinct frequency peaks in the seismic record to develop a 4-layer conceptual model of the landslide wherein the top of the deepest layer represents the primary failure surface, or the boundary between damaged (mobile) and undamaged material. We inverted Rayleigh wave ellipticity curves within this 4-layer configuration with constraints on S-wave velocity and layer thickness based on analogous material properties identified in the literature. This was necessary absent any site-specific subsurface S-wave velocity data. The best-fitting models indicate a mean slope-normal depth to the failure surface of 188 (±9) meters (m), with additional stratigraphic boundaries at 4 and 20 m below ground surface, potentially representing layered motion. These results agree with and improve upon ranges estimated by previous studies and can support future modeling and assessment efforts at Barry Arm.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241071","programNote":"Landslide Hazards Program","usgsCitation":"Collins, A.L., Allstadt, K.E., and Staley, D.M., 2024, Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska: U.S. Geological Survey Open-File Report 2024–1071, 25 p., https://doi.org/10.3133/ofr20241071.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-164227","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":464747,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241071/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1043"},{"id":464705,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1071/ofr20241071.xml"},{"id":464704,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1071/images"},{"id":464670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1071/ofr20241071.pdf","text":"Report","size":"12.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1071"},{"id":464669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1071/coverthb.jpg"},{"id":497896,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Barry Arm landslide","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.08474908024374,\n              61.17012644718048\n            ],\n            [\n              -148.15558320312988,\n              61.17012644718048\n            ],\n            [\n              -148.1702846248608,\n              61.12691732704323\n            ],\n            [\n              -148.11415192370606,\n              61.12498100886924\n            ],\n            [\n              -148.08474908024374,\n              61.17012644718048\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geologic-hazards-science-center\n\" data-mce-href=\"https://www.usgs.gov/centers/geologic-hazards-science-center\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Site Setting</li><li>Methods</li><li>Results and Discussion</li><li>Conclusion</li><li>References Cited</li></ul>","publishedDate":"2024-12-03","noUsgsAuthors":false,"publicationDate":"2024-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":920005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":920006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261290,"text":"70261290 - 2024 - The dynamics of sea otter prey selection under population growth and expansion","interactions":[],"lastModifiedDate":"2024-12-05T15:09:26.868315","indexId":"70261290","displayToPublicDate":"2024-12-03T09:04:22","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":"The dynamics of sea otter prey selection under population growth and expansion","docAbstract":"<p><span>Sea otters (</span><i>Enhydra lutris</i><span>) were extirpated from much of their range in the North Pacific by the early 1900s but have made a remarkable recovery in Southeast Alaska. Sea otter populations have been particularly successful in Glacier Bay, Alaska, a protected tidewater glacier fjord with a diverse and productive nearshore habitat. Collection of sea otter foraging observations in Glacier Bay began in 1993, along with high-resolution aerial surveys that provide estimates of sea otter abundance and distribution. We integrated these two data sources to investigate how sea otter diet changed in space and time as sea otters established and spread across Glacier Bay. Specifically, we developed a multilevel Bayesian model to capture how sea otter diet at a location (the number, type, and size of prey collected) changed as a function of local cumulative otter abundance and the year in which the location was first occupied. This framework enabled us to estimate the sequence of sea otter prey selection and switching as prey populations responded to sea otter foraging pressure. We found that local sea otter diet changed substantially as the population established, shifting away from large urchins, crabs, and clams to&nbsp;</span><i>Modiolus</i><span>&nbsp;mussels and small urchins, and lastly to small clams and&nbsp;</span><i>Mytilus</i><span>&nbsp;mussels. We also found that sea otter diet at newly occupied sites changed as otters spread over the main channel and into the arms of Glacier Bay. Further, by 2019, sea otters across the bay were primarily foraging on small prey, regardless of the local occupancy history. The absence of a spatial gradient in the size of prey captured late in the study suggests that feedbacks between the top-down effects of sea otter foraging, sea otter dispersal processes, and local variation in habitat productivity may have homogenized the size structure of available prey across Glacier Bay.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70084","usgsCitation":"Leach, C., Weitzman, B., Bodkin, J., Esler, D., Esslinger, G.G., Kloecker, K.A., Monson, D., Womble, J., and Hooten, M.B., 2024, The dynamics of sea otter prey selection under population growth and expansion: Ecosphere, v. 15, no. 12, e70084, 16 p., https://doi.org/10.1002/ecs2.70084.","productDescription":"e70084, 16 p.","ipdsId":"IP-160898","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":489061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70084","text":"Publisher Index Page"},{"id":464801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -136.8,\n              59\n            ],\n            [\n              -136.8,\n              58.4\n            ],\n            [\n              -135.8,\n              58.4\n            ],\n            [\n              -135.8,\n              59\n            ],\n            [\n              -136.8,\n              59\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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emeritus","active":true,"usgs":false}],"preferred":false,"id":920249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esler, Daniel 0000-0001-5501-4555 desler@usgs.gov","orcid":"https://orcid.org/0000-0001-5501-4555","contributorId":5465,"corporation":false,"usgs":true,"family":"Esler","given":"Daniel","email":"desler@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":12437,"text":"Simon Fraser University, Centre for Wildlife Ecology","active":true,"usgs":false},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":920250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska 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,{"id":70262202,"text":"70262202 - 2024 - Monitoring animal populations with cameras using open, multistate, N-mixture models","interactions":[],"lastModifiedDate":"2025-01-15T16:11:49.912007","indexId":"70262202","displayToPublicDate":"2024-12-02T09:06:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring animal populations with cameras using open, multistate, N-mixture models","docAbstract":"<p><span>Remote cameras have become a mainstream tool for studying wildlife populations. For species whose developmental stages or states are identifiable in photographs, there are opportunities for tracking population changes and estimating demographic rates. Recent developments in hierarchical models allow for the estimation of ecological states and rates over time for unmarked animals whose states are known. However, this powerful class of models has been underutilized because they are computationally intensive, and model outputs can be difficult to interpret. Here, we use simulation to show how camera data can be analyzed with multistate, Dail-Madsen (hereafter multistate DM) models to estimate abundance, survival, and recruitment. We evaluated four commonly encountered scenarios arising from camera trap data (low and high abundance and 25% and 50% missing data) each with 18 different sample size combinations (camera sites = 40, 250; surveys = 4, 8, and 12; and years = 2, 5, 10) and evaluated the bias and precision of abundance, survival, and recruitment estimates. We also analyzed our empirical camera data on moose (</span><i>Alces alces</i><span>) with multistate DM models and compared inference with telemetry studies from the same time and region to assess the accuracy of camera studies to track moose populations. Most scenarios recovered the known parameters from our simulated data with higher accuracy and increased precision for scenarios with more sites, surveys, and/or years. Large amounts of missing data and fewer camera sites, especially at higher abundances, reduced accuracy, and precision of survival and recruitment. Our empirical analysis provided biologically realistic estimates of moose survival and recruitment and recovered the pattern of moose abundance across the region. Multistate DM models can be used for estimating demographic parameters from camera data when developmental states are clearly identifiable. We discuss several avenues for future research and caveats for using multistate DM models for large-scale population monitoring.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70583","usgsCitation":"Siren, A.P., Hallworth, M.T., Kilborn, J.R., Bernier, C., Fortin, N., Geider, K., Patry, R., Cliche, R.M., Prout, L.S., Gifford, S., Wixsom, S., Morelli, T.L., and Wilson, T.L., 2024, Monitoring animal populations with cameras using open, multistate, N-mixture models: Ecology and Evolution, v. 14, no. 12, e70583, 13 p., https://doi.org/10.1002/ece3.70583.","productDescription":"e70583, 13 p.","ipdsId":"IP-171292","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70583","text":"Publisher Index 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,{"id":70261108,"text":"sir20245073 - 2024 - Assessment of the interconnection between Tampa Bay and the Floridan aquifer system: Historical groundwater data compilation and analysis, 1976–2022","interactions":[],"lastModifiedDate":"2025-12-22T21:06:29.381777","indexId":"sir20245073","displayToPublicDate":"2024-12-02T08:51:01","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":"2024-5073","displayTitle":"Assessment of the Interconnection Between Tampa Bay and the Floridan Aquifer System: Historical Groundwater Data Compilation and Analysis, 1976–2022","title":"Assessment of the interconnection between Tampa Bay and the Floridan aquifer system: Historical groundwater data compilation and analysis, 1976–2022","docAbstract":"<p>The U.S. Geological Survey used existing data collected after the last major navigational channel modification in the mid-1980s to investigate groundwater levels and chloride concentrations in wells in the Floridan aquifer system and other aquifers beneath and near Tampa Bay. Tampa Bay is located on the west-central coast of Florida and provides access for commercial shipping. In 2021, the U.S. Army Corps of Engineers began to investigate alternatives to improve the efficiency of the deep-draft navigation channels within Tampa Bay, reduce costs, improve safety, and analyze the implications of modifying navigational channels. The Floridan aquifer system underlies Tampa Bay and is the primary source of public water supply in the region. Modifications to the channels have the potential to expose the Floridan aquifer system to the saltwater in Tampa Bay, with the potential to increase salinity in wells in the region. Other factors affecting the groundwater levels and the location of the freshwater/saltwater interface were also examined, including changes in sea level, groundwater extraction, and variations in climate.</p><p>Groundwater levels and well-construction reports were used to identify whether different aquifer units are well-connected. Twelve wells had available data before and after the last major channel modifications, which took place in the 1980s, with six datasets of chloride concentration available in areas along the northern and eastern coastline of Tampa Bay, which is nearest to historical dredging activities. Of these six, Kendall’s <span>τ</span> and <i>p</i>-values indicated increasing trends in chloride concentration for three datasets (TR 11-2, TR 10-2, 51), no trend in chloride concentration for two datasets (TR 9-3, 50), and a decreasing trend in chloride concentration for one dataset (TR 9-1). The upward trends in chloride concentration observed for TR 10-2 and 51 are likely the result of changes in local groundwater withdrawals. Well TR 11-2 had a gradual increasing trend in chloride concentration, fresh groundwater throughout the period of record, and a 3- to 4-foot increase in hydraulic head during the period of record, possibly caused by the construction and control of the Tampa Bypass Canal, resulting in changes to the regional potentiometric surface.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245073","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Decker, J.D., 2024, Assessment of the interconnection between Tampa Bay and the Floridan aquifer system—Historical groundwater data compilation and analysis, 1976–2022: U.S. Geological Survey Scientific Investigations Report 2024–5073, 95 p., https://doi.org/10.3133/sir20245073.","productDescription":"Report: x, 95 p.; Data Release","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-160506","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":464929,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245073/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5073 HTML"},{"id":464447,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://waterdata.usgs.gov/nwis/","text":"USGS water data for the Nation","linkHelpText":"- USGS National Water Information System database"},{"id":464444,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5073/sir20245073.pdf","size":"7.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5073"},{"id":464443,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5073/images"},{"id":464442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5073/coverthb.jpg"},{"id":464624,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5073/sir20245073.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5073 XML"},{"id":497902,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118056.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.88462108750781,\n              28.199458304380144\n            ],\n            [\n              -82.88462108750781,\n              27.315234231945368\n            ],\n            [\n              -82.28125819751263,\n              27.315234231945368\n            ],\n            [\n              -82.28125819751263,\n              28.199458304380144\n            ],\n            [\n              -82.88462108750781,\n              28.199458304380144\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\" href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559</p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic and Hydrogeologic Setting</li><li>Hydrologic Stressors and Groundwater Flow</li><li>Historical Potentiometric Surface Data</li><li>Historical Data From Groundwater and Chloride Concentration Monitoring Wells</li><li>Data Analysis Summary</li><li>Opportunities for Future Research</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-12-02","noUsgsAuthors":false,"publicationDate":"2024-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Decker, Jeremy D. 0000-0002-0700-515X","orcid":"https://orcid.org/0000-0002-0700-515X","contributorId":202857,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. 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,{"id":70256975,"text":"70256975 - 2024 - A partially nonergodic ground-motion model for Fourier amplitude spectra for the San Francisco Bay area, California, USA","interactions":[],"lastModifiedDate":"2026-03-27T19:14:38.860534","indexId":"70256975","displayToPublicDate":"2024-12-01T13:54:15","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A partially nonergodic ground-motion model for Fourier amplitude spectra for the San Francisco Bay area, California, USA","docAbstract":"<p>We develop a partially nonergodic ground-motion model (GMM) for Fourier amplitude spectra for the San Francisco Bay Area, California, USA, using the Bayless and Abrahamson (2019) GMM as a reference&nbsp;ergodic GMM and developing location-dependent adjustments to the predicted median and variance. We compile regional ground-motion data from moment magnitude (\uD835\uDC40<sub>w</sub>) &gt;3 earthquakes occurring during 2000–2022 for which magnitude information is available in the U.S. Geological Survey Comprehensive Catalog (Guy et al., 2015). The data set predominantly consists of records from \uD835\uDC40<sub>w</sub>3.5–4.5 earthquakes but includes three well-recorded \uD835\uDC40<sub>w</sub> &gt; 5 events. Ground-motion residuals are evaluated using the time-averaged shear-wave velocity in the top 30 m (\uD835\uDC49<sub>S30</sub>) from the California-specific map of Thompson et al. (2018) and basin-depth site parameters from the seismic velocity model of Aagaard and Hirakawa (2021). The \uD835\uDC49<sub>S30</sub> dependence and basin-depth scaling of the reference ergodic GMM of Bayless and Abrahamson (2019) are evaluated and modified with the updated data set. We compute maps of site adjustments using a varying-coefficient model that&nbsp;considers the spatial correlation structure and uncertainties at each observation location. The spatial covariance model is developed using ground-motion residuals that are standardized by the uncertainty model,&nbsp;which allows for consideration of the aleatory variability in developing the site adjustments. The covariance model is fit considering the means and standard deviations of the site terms at all locations. The use of partially&nbsp;nonergodic median adjustments results in modified variance components of the within-event variability. Due to the low number of large-magnitude earthquakes that control seismic hazard in the data set, we do not modify&nbsp;between-event variance; however, we present adjustments to site-to-site variability for use in partially&nbsp;nonergodic hazard assessments.&nbsp;<br></p>","conferenceTitle":"18th World Conference on Earthquake Engineering","conferenceDate":"June 30-July 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Moschetti, M.P., Thompson, E.M., Peterson, R., Smith, J.A., and Aagaard, B.T., 2024, A partially nonergodic ground-motion model for Fourier amplitude spectra for the San Francisco Bay area, California, USA, 18th World Conference on Earthquake Engineering, Milan, Italy, June 30-July 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-162025","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":501753,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=23629&conference=18WCEE"},{"id":501752,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.5,\n              38.37517483429019\n            ],\n            [\n              -123.5,\n              36.90107315948201\n            ],\n            [\n              -121,\n              36.90107315948201\n            ],\n            [\n              -121,\n              38.37517483429019\n            ],\n            [\n              -123.5,\n              38.37517483429019\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":909048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Ryan","contributorId":341857,"corporation":false,"usgs":false,"family":"Peterson","given":"Ryan","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":909049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":909050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":909051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265951,"text":"70265951 - 2024 - Natural resource management confronts the growing scale and severity of ecosystem responses to drought and wildfire","interactions":[],"lastModifiedDate":"2025-04-22T16:57:48.586238","indexId":"70265951","displayToPublicDate":"2024-12-01T11:55:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Natural resource management confronts the growing scale and severity of ecosystem responses to drought and wildfire","docAbstract":"<p><span>Intensification of drought and wildfire associated with climate change has triggered widespread ecosystem stress and transformation. Natural resource managers are on the frontline of these changes, yet their perspectives on whether management actions match the scale and align with the severity of ecosystem responses to improve outcomes are not well understood. To provide new insight, a new conceptual framework that linked scale and severity was tested by conducting interviews and surveys of staff associated with natural resource management on the Colorado Plateau in the southwestern United States (U.S.), which contains the highest concentration of public lands in the contiguous U.S. Results indicate that drought was experienced more frequently than wildfire, and both stressors were happening at large scales and moderate to abrupt timeframes with a high degree of impact to ecosystems. Ecosystem responses were perceived to increase in severity under future climate change with limited capacity to recover, and a majority of resource managers expressed that they had low control to shape these trajectories. Although management strategies to address drought and wildfire were well recognized, adaptation-specific actions remained unclear or had limited financial and staffing resources to support implementation. Additional effort could help close a growing misalignment between management actions and natural resource responses, including effective science communication, refined information tailored to meet adaptation goals at management-relevant spatiotemporal scales, and opportunities for adaptive management that can proactively address intensification of drought and wildfire.</span></p>","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ES-15517-290417","usgsCitation":"Munson, S.M., Vaughn, A., Petersen, B., Bradford, J., and Duniway, M.C., 2024, Natural resource management confronts the growing scale and severity of ecosystem responses to drought and wildfire: Ecology and Society, v. 29, no. 4, 17, 23 p., https://doi.org/10.5751/ES-15517-290417.","productDescription":"17, 23 p.","ipdsId":"IP-157838","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488488,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-15517-290417","text":"Publisher Index Page"},{"id":484850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":934144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughn, Anna L.","contributorId":353625,"corporation":false,"usgs":false,"family":"Vaughn","given":"Anna L.","affiliations":[{"id":84447,"text":"Dept. of Geography, Planning and Recreation Program in Sustainable Communities, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":934145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petersen, Brian","contributorId":191672,"corporation":false,"usgs":false,"family":"Petersen","given":"Brian","email":"","affiliations":[],"preferred":false,"id":934146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934147,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271418,"text":"70271418 - 2024 - Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV","interactions":[],"lastModifiedDate":"2025-09-12T16:15:46.534671","indexId":"70271418","displayToPublicDate":"2024-12-01T11:05:15","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV","docAbstract":"The northeastern portion of the Reese River basin in north-central Nevada is the focus of detailed geophysical and geological studies as part of the INGENIOUS project, which aims to identify new, commercially viable hidden geothermal systems in the Great Basin region of the western U.S. This location, herein referred to as Argenta Rise, occupies a broad (~15km wide) left-step between major range-front fault systems along the northwestern edge of the Shoshone Range and Argenta Rim, with numerous ENE-striking intra-basin faults presumably accommodating sinistral-normal oblique slip across the step-over. Four discrete regions have been identified within the study area that have favorable structural settings for hosting a blind hydrothermal system. However, with no definitive or extensive surface manifestations of an active hydrothermal system (e.g., geysers, steam vents, sinter, etc.), detailed geophysical studies are necessary to resolve subsurface geology and structure, and identify zones of enhanced structural complexity that may promote hydrothermal fluid flow. Hence, we collected high-resolution gravity, MT, and rock property data (density, magnetic susceptibility), and analyzed the recently acquired GeoDAWN aeromagnetic data to characterize potential geothermal resources in this region. Using the new geophysical datasets, we jointly modeled gravity and magnetic data along a series of intersecting 2D profiles that integrated information from recent, local-scale fault mapping. Rock property measurements performed on outcrops and hand samples throughout the study area constrained the models. The MT data were used to construct a 3D resistivity model that highlights the location of inferred alteration and fluids in the subsurface. Combined MT and potential field results reveal which structures may be most important for controlling hydrothermal fluid migration, as well as which geologic units may host hydrothermal fluids. Our gravity derived depth to basement surface coincides well with the base of shallow conductive anomalies, suggesting hydrothermal fluids may be confined to basin fill sediments and volcanics. This work supports our development of 3D geophysical and geologic models that are focused along the western flank of the northern Shoshone Range and aids the process of selecting sites for temperature gradient drilling.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising","usgsCitation":"Earney, T.E., Glen, J.M., Peacock, J., Faulds, J., Schermerhorn, W.D., Rea-Downing, G.H., Anderson, J.E., Lindsey, C.R., and Richards, M., 2024, Geophysical modeling of a possible blind geothermal system near Battle Mountain, NV, <i>in</i> Using the Earth to save the Earth, v. 48, p. 1699-1719.","productDescription":"21 p.","startPage":"1699","endPage":"1719","ipdsId":"IP-167246","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":495401,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035044","linkFileType":{"id":5,"text":"html"}},{"id":495452,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Battle Mountain","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peacock, Jared R. 0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faulds, James","contributorId":344582,"corporation":false,"usgs":false,"family":"Faulds","given":"James","affiliations":[{"id":82394,"text":"Nevada Bureau of Mines and Geology, University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":948687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948688,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rea-Downing, Grant Harold 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333087,"corporation":false,"usgs":true,"family":"Rea-Downing","given":"Grant","email":"","middleInitial":"Harold","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948689,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Jacob Elliott 0000-0002-0709-2548","orcid":"https://orcid.org/0000-0002-0709-2548","contributorId":329989,"corporation":false,"usgs":true,"family":"Anderson","given":"Jacob","email":"","middleInitial":"Elliott","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948690,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindsey, Cary R. 0000-0001-5693-9664","orcid":"https://orcid.org/0000-0001-5693-9664","contributorId":333436,"corporation":false,"usgs":false,"family":"Lindsey","given":"Cary","email":"","middleInitial":"R.","affiliations":[{"id":79883,"text":"USGS for this work (just joined GBCGE at UNR)","active":true,"usgs":false}],"preferred":false,"id":948691,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richards, Maria 0000-0002-8416-4111","orcid":"https://orcid.org/0000-0002-8416-4111","contributorId":361370,"corporation":false,"usgs":false,"family":"Richards","given":"Maria","affiliations":[{"id":86255,"text":"University of Nevada, Reno, Great Basin Center for Geothermal Energy, Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":948692,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263445,"text":"70263445 - 2024 - Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations","interactions":[],"lastModifiedDate":"2025-02-12T16:58:25.540276","indexId":"70263445","displayToPublicDate":"2024-12-01T10:56:43","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations","docAbstract":"<p><span>Recent studies found a significant underprediction in ground motion intensity measures for finite-fault simulations of moderate magnitude events in southern California relative to established ground motion models. This study aims to understand the source(s) of this bias by evaluating ground motion residuals. For this, simulations have been performed for a total of 27 well-recorded earthquakes in southern California. Systematic efforts have been employed to identify the source(s) of bias by ruling out factors that are insignificant. Preliminary findings indicate that the magnitude-area scaling used in the simulations is the likely major cause of the observed bias. Adjustment in the source attributes on event-by-event basis is underway to study if the observed bias can be reconciled.</span></p>","conferenceTitle":"Geo-Congress 2024","conferenceDate":"February 25–28, 2024","conferenceLocation":"Vancouver, British Columbia, Canada","language":"English","publisher":"ASCE","doi":"10.1061/9780784485316.044","usgsCitation":"Sajan, K., Nweke, C., Stewart, J., and Graves, R., 2024, Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations, Geo-Congress 2024, Vancouver, British Columbia, Canada, February 25–28, 2024, p. 420-429, https://doi.org/10.1061/9780784485316.044.","productDescription":"10","startPage":"420","endPage":"429","ipdsId":"IP-153747","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sajan, K. C.","contributorId":350799,"corporation":false,"usgs":false,"family":"Sajan","given":"K. C.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":927017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":350800,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka C.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":927018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jonathon P.","contributorId":350802,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathon P.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927020,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256389,"text":"70256389 - 2024 - Amphibian and reptile conservation in the United States of America","interactions":[],"lastModifiedDate":"2025-03-19T15:21:43.504155","indexId":"70256389","displayToPublicDate":"2024-12-01T10:18:21","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Amphibian and reptile conservation in the United States of America","docAbstract":"<p>Wildlife stewardship is of utmost importance in the United States, where management for sustainable natural resources is extended to native species including amphibians and reptiles. The U.S. wildlife conservation framework is a nested system of authorities regulating species and habitats, science-based management and policy decisions, and adaptive management as new knowledge is applied to improve outcomes of population- and habitat-management actions. Yet the approach has evolved through time, from single-species management of game species to the conservation of entire ecosystems and the biodiversity they support. Today, the mismatch of conservation ideals with conservation capacity puts nongame species like amphibians and reptiles in the crosshairs for losses due to insufficient resources to address growing numbers of threats. Despite these challenges, optimism prevails, as the management and conservation of U.S. herpetofauna is an increasing priority of the public, with considerable investment into habitat restoration, species-specific threat mitigation, research, public outreach, and education. Herein, we outline key elements of U.S. herpetological conservation efficacy: (1) a web of legal authorities governing the management of U.S. herpetofauna and their habitats; (2) a network of people and organizations that work toward filling priority knowledge gaps by conducting scientific research and that are actively engaged in the science-management interface for species-to-ecosystem level conservation decision-making, and (3) a learning framework of adaptive management within the legal landscape (“lawscape”) and for improving effectiveness of conservation actions. Lastly, the human dimension of species conservation in the U.S. is emerging, where bottom-up local efforts are having success in addition to state- and regional-scale approaches. We propose U.S. herpetological conservation priorities under three themes: threats, research, and human dimensions (people). Together these multifaceted efforts are contributing to advances in the maintenance of U.S. amphibian and reptile diversity. The success of these efforts is notable and could be viewed as a model system, where lessons learned may apply elsewhere.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","collaboration":"US Forest Service, Pacific Northwest Research Station","usgsCitation":"Olson, D., and Pilliod, D., 2024, Amphibian and reptile conservation in the United States of America, p. 145-163.","productDescription":"19 p.","startPage":"145","endPage":"163","ipdsId":"IP-101524","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931281,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"O'Donnell, Katherine 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":216367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931282,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":907215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268692,"text":"70268692 - 2024 - Colorado Delta riparian plant health improvement","interactions":[],"lastModifiedDate":"2026-01-16T16:20:03.881479","indexId":"70268692","displayToPublicDate":"2024-12-01T10:17:41","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Colorado Delta riparian plant health improvement","docAbstract":"<p>The riparian corridor along Mexico’s arid Colorado River Delta is being affected by reduction in river flow and increases in heat, drought, human infrastructure, and disturbances. These disturbances can change riparian land cover by limiting water availability for riparian plant species, increasing fire intensity and frequency, and increasing soil and water salinities. In response to these forms of degradation, restoration efforts have begun to restore riparian habitats and native plant health, but vegetation greenness and corresponding plant water use continue to decline in unrestored reaches. Researchers from the U.S. Geological Survey (USGS) Southwest Biological Science Center are monitoring riparian plant health along the Colorado River Delta to support better ecohydrological decision-making. The researchers are helping a binational team to protect, restore, and maintain native vegetation within the 150-km long riparian corridor. Researchers are using<span>&nbsp;</span>Landsat 8 Operational Land Imager (OLI)<span>&nbsp;</span>data spanning 2014–2022 to measure greenness, a proxy for plant health, and actual evapotranspiration (ETa). Using an empirical model for ETa, evapotranspiration is estimated over each 16-day Landsat 8 OLI overpass&nbsp;period by considering the 8 days before and after the overpass date.&nbsp;</p><p>&nbsp;In their<span>&nbsp;</span>paper, researchers noted an increase in vegetation greenness within the restoration sites over nine years, with an average increase of 41.3%, which may be partially due to targeted water deliveries at the restoration sites. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study showed a 22.1% increase in ETa in restored areas, compared to a 30.8% reduction in unrestored regions. Restored sites in one restored area experienced ETa increases up to 12.2%, whereas their unrestored counterparts showed a decline of 21.4%. These estimates of riparian greenness and water use may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.</p>","language":"English","publisher":"Department of Interior","usgsCitation":"Nagler, P.L., 2024, Colorado Delta riparian plant health improvement, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169348","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491582,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/colorado-delta-riparian-plant-health-improvement"},{"id":498747,"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              -116.10014888935096,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941661,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70251213,"text":"70251213 - 2024 - A journey to the center of the USGS National Strong-motion Project processing and beyond","interactions":[],"lastModifiedDate":"2026-03-23T15:48:01.142815","indexId":"70251213","displayToPublicDate":"2024-12-01T10:14:12","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A journey to the center of the USGS National Strong-motion Project processing and beyond","docAbstract":"The United States Geological Survey (USGS) National Strong Motion Project (NSMP) has the primary U.S. government responsibility to acquire, process, and disseminate significant strong-motion earthquake ground motion records measured at surficial free-field stations, structures (buildings, dams, and bridges, and geotechnical arrays to the earthquake engineering community. As a result of the deployment of modern seismic instrumentation and growth of tools such as web-services,  earthquake data from U.S. and international seismic networks are more accessible than ever.  Our mission is to provide raw and processed strong-motion waveforms with PGA values greater than 0.1%g for M3.0 earthquakes and larger in California and M4.0 and larger within the conterminous US, Hawaii, Puerto Rico, and Alaska. Datasets of interest to the engineering and geophysics communities, such as event sequences in areas of induced seismicity and significant global events, are also processed and posted at the Center for Engineering Strong Motion Data (CESMD) at strongmotioncenter.org when available through collaboration with the international strong-motion data community. Here we outline (1) the NSMP’s current workflow to acquire, process, and distribute data at CESMD; (2) our new endeavours and collaborations focusing on comparison and integration of waveform processing software, development of techniques for metadata quality checks before and after earthquakes, and construction of a dynamic site characterization repository; and (3) our topics for possible collaboration topics across the global strong-motion community.","conferenceTitle":"18th World Conference on Earthquake Engineering","conferenceDate":"June 30- July 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Schleicher, L.S., Steidl, J.H., Thompson, E.M., Yong, A.K., Brody, J., Blair, J., Hearne, M., Aagaard, B.T., Hough, S.E., Shao, H., Huddleston, G., Heilpern, K., Marano, K., Ferragut, G., Worden, B., Wald, D.J., De Cristofaro, J., McClain, A.R., Dunham, B., Nget, D., Aragon, J., Gomez, J., Amador, V., Carrasco Rodriquez, V., Luna, E.E., Cembalski, D., Childs, D., Smith, J., Croker, D., and Gee, L., 2024, A journey to the center of the USGS National Strong-motion Project processing and beyond, 18th World Conference on Earthquake Engineering, Milan, Italy, June 30- July 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-161746","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501393,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=25558&conference=18WCEE"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schleicher, Lisa Sue 0000-0001-6528-1753","orcid":"https://orcid.org/0000-0001-6528-1753","contributorId":264892,"corporation":false,"usgs":true,"family":"Schleicher","given":"Lisa","email":"","middleInitial":"Sue","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yong, Alan K. 0000-0003-1807-5847 yong@usgs.gov","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":1554,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","email":"yong@usgs.gov","middleInitial":"K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brody, Jeff 0000-0001-8324-1261","orcid":"https://orcid.org/0000-0001-8324-1261","contributorId":201880,"corporation":false,"usgs":true,"family":"Brody","given":"Jeff","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blair, James Luke 0000-0003-1678-5634","orcid":"https://orcid.org/0000-0003-1678-5634","contributorId":333670,"corporation":false,"usgs":true,"family":"Blair","given":"James Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science 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Keira","contributorId":333673,"corporation":false,"usgs":false,"family":"Heilpern","given":"Keira","affiliations":[],"preferred":false,"id":893531,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893532,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ferragut, Gabe","contributorId":333674,"corporation":false,"usgs":false,"family":"Ferragut","given":"Gabe","affiliations":[],"preferred":false,"id":893533,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Worden, 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0000-0001-9371-9994","orcid":"https://orcid.org/0000-0001-9371-9994","contributorId":239708,"corporation":false,"usgs":true,"family":"McClain","given":"Adria","email":"","middleInitial":"Ruth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893540,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dunham, B.","contributorId":355215,"corporation":false,"usgs":false,"family":"Dunham","given":"B.","affiliations":[],"preferred":false,"id":893529,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Nget, D.","contributorId":367242,"corporation":false,"usgs":false,"family":"Nget","given":"D.","affiliations":[],"preferred":false,"id":957204,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Aragon, 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E.","contributorId":367246,"corporation":false,"usgs":false,"family":"Luna","given":"E.","middleInitial":"E.","affiliations":[],"preferred":false,"id":957209,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Cembalski, D.","contributorId":367247,"corporation":false,"usgs":false,"family":"Cembalski","given":"D.","affiliations":[],"preferred":false,"id":957210,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Childs, D.","contributorId":367248,"corporation":false,"usgs":false,"family":"Childs","given":"D.","affiliations":[],"preferred":false,"id":957211,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Smith, J.","contributorId":95013,"corporation":false,"usgs":true,"family":"Smith","given":"J.","email":"","affiliations":[],"preferred":false,"id":957212,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Croker, D.","contributorId":367249,"corporation":false,"usgs":false,"family":"Croker","given":"D.","affiliations":[],"preferred":false,"id":957213,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Gee, L.","contributorId":101066,"corporation":false,"usgs":true,"family":"Gee","given":"L.","email":"","affiliations":[],"preferred":false,"id":957214,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70264770,"text":"70264770 - 2024 - Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","interactions":[],"lastModifiedDate":"2026-02-11T16:11:52.104027","indexId":"70264770","displayToPublicDate":"2024-12-01T10:02:17","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","docAbstract":"<p>Geochemical and hydrologic models of pit lakes are commonly used in environmental regulatory decisions to predict future water quality and hydrologic conditions and to understand existing pit lakes. Models may be used to quantify sulfide oxidation, predict thermal/chemical stratification and mixing, and better understand connections between pit lakes and aquifers. One concern related to the hydrologic character of pit lakes is if they are terminal (a groundwater sink with no outflow) or flowthrough (both receiving groundwater inflow and discharging to groundwater). This question was pertinent to the Liberty pit lake, a small acidic pit lake formed in a former Cu deposit in south-central Nevada where potentiometric and geochemical data potentially indicate pit-lake outflow. Potential discharge to groundwater from the pit lake was evaluated using a water-balance model, but uncertainty in hydraulic parameters led to ambiguity in the hydrologic character. Stable isotopes of water were then sampled from the pit lake and adjacent groundwater wells, which unambiguously indicated the lack of an evaporative signature in downgradient groundwater because the groundwater did not plot on a hypothetical mixing line between evaporated pit lake water and observed meteoric recharge. This methodology provided a more effective and more data-driven approach for understanding pit-lake hydrology. Although predictive models are required to quantify reasonable bounds on future conditions, many models contain substantial uncertainty and are not well suited in some environments. Datasets that provide more clear lines of evidence could be collected from existing pit lakes whenever possible to inform water-rock interaction, limnological behavior, and connectivity to adjacent groundwater.&nbsp;</p>","conferenceTitle":"International Conference on Acid Rock Drainage","conferenceDate":"September 16-20, 2024","conferenceLocation":"Halifax, Nova Scotia, Canada","language":"English","publisher":"Canadian Institute of Mining, Metallurgy and Petroleum","usgsCitation":"Newman, C.P., 2024, Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake, International Conference on Acid Rock Drainage, Halifax, Nova Scotia, Canada, September 16-20, 2024, p. 1345-1356.","productDescription":"12 p.","startPage":"1345","endPage":"1356","ipdsId":"IP-164239","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Liberty pit lake","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931595,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260190,"text":"70260190 - 2024 - New approaches to wildlife health","interactions":[],"lastModifiedDate":"2025-03-12T14:57:25.842754","indexId":"70260190","displayToPublicDate":"2024-12-01T09:54:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5043,"text":"Scientific and Technical Review","active":true,"publicationSubtype":{"id":10}},"title":"New approaches to wildlife health","docAbstract":"<p>Recent environmental change and biodiversity loss have modified ecosystems, altering disease dynamics. For wildlife health, this trend has translated into increased potential for disease transmission and reduced capacity to overcome significant population-level impacts, which may place species at risk of extinction. Thus, current approaches to wildlife health focus not on the absence of disease but rather on the concept of health promotion. That is, wildlife populations will be more resilient to disease if they have the basic requirements for survival, as well as functioning ecosystems, within an enabling socio-economic environment. In this context, animal health programmes must adapt to design and implement wildlife health programmes that bridge knowledge gaps and fully integrate conservation goals. This article proposes new pathways and additions to the animal health management toolbox, including new approaches to surveillance and information management, partnerships and new wildlife health management practices. Solely because of risks to domesticated animals and human health, the traditional approach to disease surveillance in wild animals has now been replaced by a drive to recognise the intrinsic value of wildlife and the extended benefits of actively pursuing ecosystem health and associated life-sustaining ecosystem services. In this context, it is paramount to transition to holistic health programmes that embrace One Health as a pathway to set the health of all on equal footing.</p>","language":"English","publisher":"WOAH","doi":"10.20506/rst.SE.3569","usgsCitation":"Uhart, M., and Sleeman, J.M., 2024, New approaches to wildlife health: Scientific and Technical Review, v. Special Edition, p. 145-151, https://doi.org/10.20506/rst.SE.3569.","productDescription":"7 p.","startPage":"145","endPage":"151","ipdsId":"IP-160996","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":487952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.20506/rst.se.3569","text":"Publisher Index Page"},{"id":483236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Special Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uhart, Marcela","contributorId":292398,"corporation":false,"usgs":false,"family":"Uhart","given":"Marcela","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":917378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":917379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270848,"text":"70270848 - 2024 - Climate vulnerability assessment of Oregon hatchery programs","interactions":[],"lastModifiedDate":"2025-08-28T14:57:36.722075","indexId":"70270848","displayToPublicDate":"2024-12-01T09:51:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Climate vulnerability assessment of Oregon hatchery programs","docAbstract":"<p>The goal of this project was to assess the vulnerability to climate change impacts for a sample set of hatchery programs representing different geographic areas and primary anadromous species raised in state-managed Oregon hatcheries (Summary Figure 1). Freshwater and marine ecosystem processes can significantly influence salmon and steelhead survival, and understanding how these factors have affected historical returns can help managers evaluate the climate vulnerability of hatchery stocks. We examined stock-specific trends in smolt-to-adult returns (SARs), which represent the proportion of smolts released from the hatchery that are recovered in fisheries or as returning adult spawners. SARs are among the most consistent long term estimators of survival for hatchery-origin stocks. Depending on the stock, adult recoveries could occur in marine fisheries, freshwater fisheries, returns to the hatchery or another collection facility, and spawning ground surveys. We collected time series data on relevant ecological indicators and used generalized additive models (GAMs) to explore both univariate and multivariate relationships with SARs for each hatchery stock. </p><p>An additional aspect of this assessment was to evaluate the climate vulnerability of resident trout stocking programs in the Department's East and West regions, incorporating insights from Oregon Department of Fish and Wildlife (ODFW) staff interviews and published data on the thermal tolerance of hatchery trout stocks. This assessment is provided in the ‘Climate vulnerability of trout stocking programs’ subsection below.</p>","language":"English","publisher":"Oregon Department of Fish and Wildlife","usgsCitation":"Barrett, H., and Davis, M.J., 2024, Climate vulnerability assessment of Oregon hatchery programs, 67 p.","productDescription":"67 p.","ipdsId":"IP-172893","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":495003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494876,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.dfw.state.or.us/fish/hatchery/resilience.asp","linkFileType":{"id":5,"text":"html"}}],"country":"United 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