{"pageNumber":"279","pageRowStart":"6950","pageSize":"25","recordCount":165309,"records":[{"id":70261885,"text":"70261885 - 2023 - Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA","interactions":[],"lastModifiedDate":"2024-12-31T16:53:23.631087","indexId":"70261885","displayToPublicDate":"2023-03-22T10:28:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA","docAbstract":"This review summarizes what the volcanology community has learned thus far from studying the deposits of pyroclastic currents (PC) from the 1980 eruption sequence at Mount St. Helens. The review includes mass flow events during the May 18 eruption, including the lateral blast, the afternoon column collapse and boil-over PC activity, and some aspects of the debris avalanche. We also include a summary of PCs generated in the smaller eruptions following the climactic May 18 event. Our objective is to summarize the state of our understanding of PC transport and emplacement mechanisms from the combination of field and laboratory observations, granular flow experiments, and numerical modeling techniques. Specifically, we couple deposit characteristics, experiments, and numerical modeling techniques to critically address the problems of (1) constraining conditions in the flow boundary zone at the time of deposition, (2) the influence of substrate roughness and topography on PC behavior, (3) the prevalence, causes, and consequences of substrate erosion by PCs, and (4) the reconstruction of PC transportation and sedimentation processes from a combination of geophysical and sedimentological observations. We conclude by providing opportunities for future research as our field, experimental, and numerical research techniques advance.","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01617-w","usgsCitation":"Brand, B.D., Pollock, N., Vallance, J.W., Ongaro, T., Roche, O., Trolese, M., Geordano, G., Marshall, A., and Criswell, C., 2023, Advances in our understanding of pyroclastic current behavior from the 1980 eruption sequence of Mount St. Helens volcano (Washington), USA: Bulletin of Volcanology, v. 85, no. 24, 33 p., https://doi.org/10.1007/s00445-022-01617-w.","productDescription":"33 p.","ipdsId":"IP-138509","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467116,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-022-01617-w","text":"Publisher Index 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brittanybrand@boisestate.edu","contributorId":193853,"corporation":false,"usgs":false,"family":"Brand","given":"Brittany","email":"brittanybrand@boisestate.edu","middleInitial":"D.","affiliations":[],"preferred":false,"id":922134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Nicholas","contributorId":193854,"corporation":false,"usgs":false,"family":"Pollock","given":"Nicholas","email":"","affiliations":[{"id":33038,"text":"Department of Geosciences, Boise State University","active":true,"usgs":false}],"preferred":false,"id":922135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science 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,{"id":70247698,"text":"70247698 - 2023 - Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf","interactions":[],"lastModifiedDate":"2023-08-11T14:27:27.877857","indexId":"70247698","displayToPublicDate":"2023-03-22T09:23:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf","docAbstract":"<p><span>This study explores how diverse the meiobenthic (meiofauna and other benthic micro-eukaryotes) community is throughout the United States&nbsp;Gulf of Mexico&nbsp;(GOM)&nbsp;continental shelf. In late 2010 and 2011, 51 sediment samples were collected along GOM from Texas through Florida at a range of depths (40m–496m). An additional six deep-sea slope&nbsp;sediment cores&nbsp;were collected in December 2010 near the&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;platform (1370–1385m and 1865m). Metabarcoding of the 18S hypervariable V9 region was conducted to assess biodiversity. Within continental shelf samples, there was greater meiobenthic diversity off the Eastern GOM coast in comparison to both Central and Western GOM coast locations. The Eastern GOM coast has known sediment differences from Western GOM sites. These sediment differences along with influences from the Gulf of Mexico Loop Current may account for observed variations in GOM meiobenthic diversity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2023.108303","usgsCitation":"Brannock, P.M., Demopoulos, A., Landers, S.C., Waits, D.S., and Halanych, K.M., 2023, Metabarcoding analysis of meiobenthic biodiversity along the Gulf of Mexico continental shelf: Estuarine, Coastal and Shelf Science, v. 285, 108303, 11 p., https://doi.org/10.1016/j.ecss.2023.108303.","productDescription":"108303, 11 p.","ipdsId":"IP-143979","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444121,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecss.2023.108303","text":"Publisher Index Page"},{"id":419746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.0454668578711,\n              25.2112866504243\n            ],\n            [\n              -82.26870034867704,\n              26.46838949145966\n            ],\n            [\n              -82.72708466360095,\n              27.33933552895833\n            ],\n            [\n              -82.88356327975112,\n              27.923703811696868\n            ],\n            [\n              -82.69546708608799,\n              28.85741771478554\n            ],\n            [\n              -83.05448982390429,\n              29.044828371309947\n            ],\n            [\n       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C.","contributorId":328399,"corporation":false,"usgs":false,"family":"Landers","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":78357,"text":"Troy University","active":true,"usgs":false}],"preferred":false,"id":880078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, Damien S.","contributorId":328400,"corporation":false,"usgs":false,"family":"Waits","given":"Damien","email":"","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":880079,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Halanych, Kenneth M.","contributorId":328401,"corporation":false,"usgs":false,"family":"Halanych","given":"Kenneth","email":"","middleInitial":"M.","affiliations":[{"id":65271,"text":"University of North Carolina at Wilmington","active":true,"usgs":false}],"preferred":false,"id":880080,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242003,"text":"70242003 - 2023 - Sex-biased infections scale to population impacts for an emerging wildlife disease","interactions":[],"lastModifiedDate":"2023-04-04T12:24:59.519962","indexId":"70242003","displayToPublicDate":"2023-03-22T07:21:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sex-biased infections scale to population impacts for an emerging wildlife disease","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Demographic factors are fundamental in shaping infectious disease dynamics. Aspects of populations that create structure, like age and sex, can affect patterns of transmission, infection intensity and population outcomes. However, studies rarely link these processes from individual to population-scale effects. Moreover, the mechanisms underlying demographic differences in disease are frequently unclear. Here, we explore sex-biased infections for a multi-host fungal disease of bats, white-nose syndrome, and link disease-associated mortality between sexes, the distortion of sex ratios and the potential mechanisms underlying sex differences in infection. We collected data on host traits, infection intensity and survival of five bat species at 42 sites across seven years. We found females were more infected than males for all five species. Females also had lower apparent survival over winter and accounted for a smaller proportion of populations over time. Notably, female-biased infections were evident by early hibernation and likely driven by sex-based differences in autumn mating behaviour. Male bats were more active during autumn which likely reduced replication of the cool-growing fungus. Higher disease impacts in female bats may have cascading effects on bat populations beyond the hibernation season by limiting recruitment and increasing the risk of Allee effects.</p></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2023.0040","usgsCitation":"Kailing, M.J., Hoyt, J.R., White, J.P., Kaarakka, H.M., Redell, J.A., Leon, A.E., Rocke, T.E., DePue, J.E., Scullon, W.H., Parise, K.L., Foster, J.T., Kilpatrick, A.M., and Langwig, K.E., 2023, Sex-biased infections scale to population impacts for an emerging wildlife disease: Proceedings of the Royal Society B: Biological Sciences, v. 290, no. 1995, 20230040, 10 p., https://doi.org/10.1098/rspb.2023.0040.","productDescription":"20230040, 10 p.","ipdsId":"IP-143177","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2023.0040","text":"Publisher Index Page"},{"id":415159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"290","issue":"1995","noUsgsAuthors":false,"publicationDate":"2023-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Kailing, Macy J.","contributorId":303905,"corporation":false,"usgs":false,"family":"Kailing","given":"Macy","email":"","middleInitial":"J.","affiliations":[{"id":65923,"text":"Virginia Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":868493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":868494,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868495,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaarakka, Heather M.","contributorId":120892,"corporation":false,"usgs":false,"family":"Kaarakka","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868496,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868497,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leon, Ariel Elizabeth 0000-0001-9246-4619","orcid":"https://orcid.org/0000-0001-9246-4619","contributorId":247573,"corporation":false,"usgs":true,"family":"Leon","given":"Ariel","email":"","middleInitial":"Elizabeth","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868498,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":868499,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DePue, John E.","contributorId":200305,"corporation":false,"usgs":false,"family":"DePue","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":868500,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scullon, William H.","contributorId":303906,"corporation":false,"usgs":false,"family":"Scullon","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":868501,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Parise, Katy L.","contributorId":201310,"corporation":false,"usgs":false,"family":"Parise","given":"Katy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":868502,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":868503,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kilpatrick, A. Marm","contributorId":139721,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","email":"","middleInitial":"Marm","affiliations":[{"id":12892,"text":"Dept of Ecology & Evolutionary Biology, Univ of California","active":true,"usgs":false}],"preferred":false,"id":868504,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":868505,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70247889,"text":"70247889 - 2023 - Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases","interactions":[],"lastModifiedDate":"2024-01-26T18:04:40.163463","indexId":"70247889","displayToPublicDate":"2023-03-22T07:07:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases","docAbstract":"<p>Emerging diseases can have devastating consequences for wildlife and require a rapid response. A critical first step towards developing appropriate management is identifying the etiology of the disease, which can be difficult to determine, particularly early in emergence. Gathering and synthesizing existing information about potential disease causes, by leveraging expert knowledge or relevant existing studies, provides a principled approach to quickly inform decision-making and management efforts. Additionally, updating the current state of knowledge as more information becomes available over time can reduce scientific uncertainty and lead to substantial improvement in the decision-making process and the application of management actions that incorporate and adapt to newly acquired scientific understanding. Here we present a rapid prototyping method for quantifying belief weights for competing hypotheses about the etiology of disease using a combination of formal expert elicitation and Bayesian hierarchical modeling. We illustrate the application of this approach for investigating the etiology of stony coral tissue loss disease (SCTLD) and discuss the opportunities and challenges of this approach for addressing emergent diseases. Lastly, we detail how our work may apply to other pressing management or conservation problems that require quick responses. We found the rapid prototyping methods to be an efficient and rapid means to narrow down the number of potential hypotheses, synthesize current understanding, and help prioritize future studies and experiments. This approach is rapid by providing a snapshot assessment of the current state of knowledge. It can also be updated periodically (e.g., annually) to assess changes in belief weights over time as scientific understanding increases. Synthesis and applications: The rapid prototyping approaches demonstrated here can be used to combine knowledge from multiple experts and/or studies to help with fast decision-making needed for urgent conservation issues including emerging diseases and other management problems that require rapid responses. These approaches can also be used to adjust belief weights over time as studies and expert knowledge accumulate and can be a helpful tool for adapting management decisions.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2023.117668","usgsCitation":"Robertson, E.P., Walsh, D.P., Martin, J., Work, T.M., Kellogg, C.A., Evans, J.S., Hawthorn, A.C., Aeby, G., Paul, V.J., Walker, B., Kiryu, Y., Woodley, C., Meyer, J.L., Rosales, S.M., Studivan, M.S., Moore, J., Brandt, M.E., and Bruckner, A., 2023, Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases: Journal of Environmental Management, v. 337, 117668, 9 p., https://doi.org/10.1016/j.jenvman.2023.117668.","productDescription":"117668, 9 p.","ipdsId":"IP-146770","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444129,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2023.117668","text":"Publisher Index Page"},{"id":435408,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DLNEBY","text":"USGS data release","linkHelpText":"Expert assessments of hypotheses concerning the etiological agent(s) of Stony Coral Tissue Loss Disease collected during a rapid prototyping project"},{"id":435407,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S9JDVB","text":"USGS data release","linkHelpText":"Code for Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases"},{"id":420068,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"337","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Ellen Padgett 0000-0002-8135-0816","orcid":"https://orcid.org/0000-0002-8135-0816","contributorId":328644,"corporation":false,"usgs":true,"family":"Robertson","given":"Ellen","email":"","middleInitial":"Padgett","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health 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,{"id":70242688,"text":"70242688 - 2023 - The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation","interactions":[],"lastModifiedDate":"2023-04-13T11:38:15.937626","indexId":"70242688","displayToPublicDate":"2023-03-22T06:36:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Freshwater habitats are experiencing two to three times the rate of biodiversity loss of terrestrial and marine habitats. As<span>&nbsp;</span><i>status quo</i><span>&nbsp;</span>actions within the conservation community are not reversing the downward trajectory for freshwater biodiversity, we propose four actions to shift the narrative such that freshwater biodiversity is no longer invisible and overlooked, but rather explicitly recognized, valued, and protected: (1)<span>&nbsp;</span><i>Reshape</i><span>&nbsp;</span>our relationship with freshwater habitats and biodiversity, (2)<span>&nbsp;</span><i>Appreciate</i><span>&nbsp;</span>indigenous knowledge systems relating to freshwater habitats, (3)<span>&nbsp;</span><i>Connect</i><span>&nbsp;</span>science more directly to action, and (4)<span>&nbsp;</span><i>Elevate</i><span>&nbsp;</span>freshwater habitats as a unique “domain” that requires explicit recognition in conservation planning (RACE). We highlight roles that both freshwater scientists and the wider conservation community can play in implementing the four actions such that the “RACE” can be won.</p></div></div>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.12911","usgsCitation":"Birnie-Gauvin, K., Lynch, A., Franklin, P.A., Reid, A.J., Landsman, S.J., Tickner, D., Dalton, J., Aarestrup, K., and Cooke, S.J., 2023, The RACE for freshwater biodiversity: Essential actions to create the social context for meaningful conservation: Conservation Science and Practice, v. 5, no. 4, e12911, 18 p., https://doi.org/10.1111/csp2.12911.","productDescription":"e12911, 18 p.","ipdsId":"IP-130632","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":444133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.12911","text":"Publisher Index Page"},{"id":415700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Birnie-Gauvin, Kim","contributorId":272554,"corporation":false,"usgs":false,"family":"Birnie-Gauvin","given":"Kim","email":"","affiliations":[],"preferred":false,"id":869369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":216203,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":869370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Paul A.","contributorId":220480,"corporation":false,"usgs":false,"family":"Franklin","given":"Paul","email":"","middleInitial":"A.","affiliations":[{"id":40175,"text":"National Institute of Water and Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":869371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Andrea J.","contributorId":221029,"corporation":false,"usgs":false,"family":"Reid","given":"Andrea","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":869372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Landsman, Sean J.","contributorId":304132,"corporation":false,"usgs":false,"family":"Landsman","given":"Sean","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":869373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tickner, David","contributorId":224152,"corporation":false,"usgs":false,"family":"Tickner","given":"David","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":869374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dalton, James","contributorId":292275,"corporation":false,"usgs":false,"family":"Dalton","given":"James","email":"","affiliations":[{"id":40831,"text":"IUCN","active":true,"usgs":false}],"preferred":false,"id":869375,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aarestrup, Kim","contributorId":203992,"corporation":false,"usgs":false,"family":"Aarestrup","given":"Kim","email":"","affiliations":[{"id":36789,"text":"Danmarks Tekniske Universitet","active":true,"usgs":false}],"preferred":false,"id":869377,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":869376,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263085,"text":"70263085 - 2023 - Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures","interactions":[],"lastModifiedDate":"2025-01-29T15:44:57.282852","indexId":"70263085","displayToPublicDate":"2023-03-22T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures","docAbstract":"<p><span>By 2050, mean temperature in the state of Maine, located in the Northeastern USA, is expected to increase nearly 1°C, which could directly affect native coldwater salmonid behaviour and increase competition with warmwater smallmouth bass. We conducted a microcosm experiment to examine the feeding and agonistic behaviour of endangered juvenile Atlantic Salmon (</span><i>Salmo salar</i><span>) at two temperatures (18 and 21°C) in the presence and absence of non-native Smallmouth Bass (</span><i>Micropterus dolomieu</i><span>). By visually reviewing footage of fish competition in our tanks, we quantified feeding and agonistic interactions. We predicted salmon would exhibit lower feeding activity than bass at 21°C and antagonistic interactions between the two species would increase with warming. We found salmon feeding activity was reduced by smallmouth bass presence and this effect was stronger at 21°C. We also found smallmouth bass aggression was strongest at 21°C when salmon were present. Lastly, feeding activity and aggression in both species changed with food availability. These findings illustrate the potential for invasive warmwater species to outcompete native salmonids for resources, especially under the warmer conditions predicted by climate change scenarios.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eff.12711","usgsCitation":"Ramberg-Pihl, N., Klemmer, A., Zydlewski, J.D., Coghlan Jr., S., and Greig, H., 2023, Smallmouth bass (Micropterus dolomieu) suppress Atlantic salmon (Salmo salar) feeding activity and increase aggressive behaviours at warmer temperatures: Ecology of Freshwater Fish, v. 32, no. 3, p. 606-617, https://doi.org/10.1111/eff.12711.","productDescription":"12 p.","startPage":"606","endPage":"617","ipdsId":"IP-124876","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12711","text":"Publisher Index 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Maine","active":true,"usgs":false}],"preferred":false,"id":925491,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241201,"text":"cir1503 - 2023 - Update on U.S. Geological Survey Fundamental Science Practices","interactions":[],"lastModifiedDate":"2023-09-18T16:21:43.379431","indexId":"cir1503","displayToPublicDate":"2023-03-21T12:25:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1503","displayTitle":"Update on U.S. Geological Survey Fundamental Science Practices","title":"Update on U.S. Geological Survey Fundamental Science Practices","docAbstract":"<p>The U.S. Geological Survey (USGS) Fundamental Science Practices (FSP) are a set of standard principles fundamental to how USGS conducts and carries out its science activities and how resulting information products and data are reviewed, approved, and released. These policies, practices, philosophical premises, and operational principles serve as the foundation for all USGS research and monitoring activities and apply to all levels of the organization. The strength and future of the USGS depend on following these practices. USGS FSP were initiated in 2006 and fully implemented in 2009 to consolidate and standardize science practices across multiple scientific mission areas and science disciplines within the USGS.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1503","usgsCitation":"Fundamental Science Practices Advisory Council, 2023, Update on U.S. Geological Survey Fundamental Science Practices: U.S. Geological Survey Circular 1503, 6 p., https://doi.org/10.3133/cir1503.","productDescription":"iv, 6 p.","startPage":"i-iv; 1-6","onlineOnly":"N","ipdsId":"IP-137019","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":414143,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.pdf","text":"Report","size":"4.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1503"},{"id":414145,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1503/images"},{"id":414146,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1503/cir1503.xml"},{"id":414440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/cir1503/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1503"},{"id":414132,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1503/coverthb.jpg"}],"contact":"<p><a href=\"mailto:gs_fspac@usgs.gov\" data-mce-href=\"mailto:gs_fspac@usgs.gov\">Fundamental Science Practices Advisory Council</a></p>","tableOfContents":"<ul><li>Background and General Description</li><li>USGS Scientific Research Planning</li><li>USGS Authorship of Scientific Information Products</li><li>Peer Review</li><li>Review, Approval, and Release of Information Products</li><li>Safeguarding Unpublished Data, Information, and Associated Scientific Materials</li><li>Scientific Data Management</li><li>Metadata for USGS Scientific Information Products Including Scientific Data</li><li>Review and Approval of Scientific Data for Release</li><li>Preservation Requirements for Digital Scientific Data</li><li>Review and Approval of Scientific Software for Release</li><li>Bureau Approving Officials</li><li>Fundamental Science Practices Advisory Council</li><li>Science Publishing Network</li><li>USGS Information Product Data System</li><li>USGS Publications Warehouse</li><li>USGS Science Data Catalog</li><li>Summary</li></ul>","publishedDate":"2023-03-21","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Fundamental Science Practices Advisory Council","contributorId":303051,"corporation":true,"usgs":false,"organization":"Fundamental Science Practices Advisory Council","id":866423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255238,"text":"70255238 - 2023 - Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","interactions":[],"lastModifiedDate":"2024-06-13T15:29:53.521826","indexId":"70255238","displayToPublicDate":"2023-03-21T10:27:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1711,"text":"Functional Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology","docAbstract":"<ol class=\"\"><li>Hibernation is a remarkable behaviour deployed by a diverse array of endotherms within many clades that greatly reduces metabolic need, but also has somatic costs. Hibernation in modern endotherms is often assumed to be an adaptation allowing animals to avoid extreme thermal conditions or food shortages in seasonal environments. However, many animals hibernate when foraging conditions are energetically profitable, suggesting other causal factors influence hibernation behaviour.</li><li>Understanding the selection pressures responsible for intraspecific variation in the timing and duration of hibernation can help elucidate the relative evolutionary influences of the ultimate ecological causes of hibernation. We tested four previously proposed mechanistic hypotheses to explain intraspecific variation in hibernation phenology in the federally threatened northern Idaho ground squirrel (<i>Urocitellus brunneus</i>): (1) thermal tolerance, (2) food limitation, (3) predation avoidance and (4) sexual selection.</li><li>The predation avoidance and sexual selection hypotheses received the most support, although we also found some support for the thermal tolerance and food limitation hypotheses. Heavy squirrels increased hibernation duration regardless of environmental conditions, as predicted solely by the predation avoidance hypothesis. Reproductive males emerged from hibernation earlier in spring than other sex–age classes, a pattern predicted by the sexual selection hypothesis. Temperature and food availability explained a much smaller amount of the variation in hibernation behaviour, only partially supporting predictions of the thermal tolerance and food limitation hypotheses.</li><li>Our results indicate that animals navigate life-history trade-offs between energetic allocation to survival and reproduction via state-dependent optimization of hibernation phenology. Consequently, any future environmental changes that influence body condition will have implications for population ecology and life-history evolution of hibernating animals due to stark differences in daily survival probability between hibernation and the active season.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.14322","usgsCitation":"Allison, A., Conway, C.J., and Morris, A.E., 2023, Why hibernate? Tests of four hypotheses to explain intraspecific variation in hibernation phenology: Functional Ecology, v. 37, no. 6, p. 1580-1593, https://doi.org/10.1111/1365-2435.14322.","productDescription":"15 p.","startPage":"1580","endPage":"1593","ipdsId":"IP-144984","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.14322","text":"Publisher Index Page"},{"id":430143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin A Z.","contributorId":337876,"corporation":false,"usgs":false,"family":"Allison","given":"Austin A Z.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Alice E","contributorId":339157,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","email":"","middleInitial":"E","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70222357,"text":"70222357 - 2023 - Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","interactions":[],"lastModifiedDate":"2023-05-02T14:22:46.665575","indexId":"70222357","displayToPublicDate":"2023-03-21T09:16:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental transmission of <i>Pseudogymnoascus destructans</i> to hibernating little brown bats","title":"Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats","docAbstract":"<p><span>Pathogens with persistent environmental stages can have devastating effects on wildlife communities. White-nose syndrome (WNS), caused by the fungus&nbsp;</span><i>Pseudogymnoascus destructans,</i><span>&nbsp;has caused widespread declines in bat populations of North America. In 2009, during the early stages of the WNS investigation and before molecular techniques had been developed to readily detect&nbsp;</span><i>P. destructans</i><span>&nbsp;in environmental samples, we initiated this study to assess whether&nbsp;</span><i>P. destructans</i><span>&nbsp;can persist in the hibernaculum environment in the absence of its conclusive bat host and cause infections in naive bats. We transferred little brown bats (</span><i>Myotis lucifugus</i><span>) from an unaffected winter colony in northwest Wisconsin to two&nbsp;</span><i>P. destructans</i><span>&nbsp;contaminated hibernacula in Vermont where native bats had been excluded</span><i>.</i><span>&nbsp;Infection with&nbsp;</span><i>P. destructans</i><span>&nbsp;was apparent on some bats within 8&nbsp;weeks following the introduction of unexposed bats to these environments, and mortality from WNS was confirmed by histopathology at both sites 14&nbsp;weeks following introduction. These results indicate that environmental exposure to&nbsp;</span><i>P. destructans</i><span>&nbsp;is sufficient to cause the infection and mortality associated with WNS in naive bats, which increases the probability of winter colony extirpation and complicates conservation efforts.</span></p>","language":"English","publisher":"Nature Publications","doi":"10.1038/s41598-023-31515-w","usgsCitation":"Hicks, A., Darling, S., Flewelling, J., von Linden, R., Meteyer, C., Redell, D., White, J.P., Redell, J.A., Smith, R., Blehert, D.S., Rayman-Metcalf, N.L., Hoyt, J.R., Okoniewski, J.C., and Langwig, K.E., 2023, Environmental transmission of Pseudogymnoascus destructans to hibernating little brown bats: Nature, v. 13, 4615, 7 p., https://doi.org/10.1038/s41598-023-31515-w.","productDescription":"4615, 7 p.","ipdsId":"IP-130671","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":444138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-31515-w","text":"Publisher Index Page"},{"id":416621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hicks, Alan C.","contributorId":261313,"corporation":false,"usgs":false,"family":"Hicks","given":"Alan C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Darling, Scott","contributorId":261314,"corporation":false,"usgs":false,"family":"Darling","given":"Scott","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flewelling, Joel","contributorId":261315,"corporation":false,"usgs":false,"family":"Flewelling","given":"Joel","email":"","affiliations":[{"id":52814,"text":"Vermont Fish and Wildlife Department, 271 North Main Street, Suite 215, Rutland, VT 05701","active":true,"usgs":false}],"preferred":false,"id":819736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"von Linden, Ryan","contributorId":261316,"corporation":false,"usgs":false,"family":"von Linden","given":"Ryan","email":"","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meteyer, Carol 0000-0002-4007-3410","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":207215,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":819738,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Redell, Dave","contributorId":261317,"corporation":false,"usgs":false,"family":"Redell","given":"Dave","email":"","affiliations":[{"id":52816,"text":"Wisconsin Dept. Natural Resources, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":819739,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Redell, Jennifer A.","contributorId":117266,"corporation":false,"usgs":false,"family":"Redell","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":871367,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Ryan","contributorId":206257,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":819740,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":819741,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rayman-Metcalf, Noelle L.","contributorId":304691,"corporation":false,"usgs":false,"family":"Rayman-Metcalf","given":"Noelle","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":819742,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":819743,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Okoniewski, Joseph C.","contributorId":261319,"corporation":false,"usgs":false,"family":"Okoniewski","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":52813,"text":"New York State Department of Environmental Conservation, 625 Broadway, Albany NY 12233-4754","active":true,"usgs":false}],"preferred":false,"id":819744,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Langwig, Kate E.","contributorId":127717,"corporation":false,"usgs":false,"family":"Langwig","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":819745,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70241601,"text":"70241601 - 2023 - Evolving radon diffusion through earthen barriers at uranium waste disposal sites","interactions":[],"lastModifiedDate":"2023-03-27T10:54:56.625544","indexId":"70241601","displayToPublicDate":"2023-03-21T09:15:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2263,"text":"Journal of Environmental Radioactivity","active":true,"publicationSubtype":{"id":10}},"title":"Evolving radon diffusion through earthen barriers at uranium waste disposal sites","docAbstract":"<p><span>Field measurements of Rn-222 fluxes from the tops and bottoms of compacted clay radon barriers were used to calculate effective Rn diffusion coefficients (D</span><sub>Rn</sub><span>) at four uranium waste disposal sites in the western United States to assess cover performance after more than 20 years of service. Values of D</span><sub>Rn</sub><span>&nbsp;ranged from 7.4&nbsp;×&nbsp;10</span><sup>−7</sup><span>&nbsp;to 6.0&nbsp;×&nbsp;10</span><sup>−9</sup><span>&nbsp;m</span><sup>2</sup><span>/s, averaging 1.42&nbsp;×&nbsp;10</span><sup>−7</sup><span>. Water saturation (S</span><sub>W</sub><span>) from soil cores indicated that there was relatively little control of D</span><sub>Rn</sub><span>&nbsp;by S</span><sub>W</sub><span>, especially at higher moisture levels, in contrast to estimates from most steady-state diffusion models. This is attributed to preferential pathways intrinsic to construction of the barriers or to natural process that have developed over time including desiccation cracks, root channels, and insect burrows in the engineered earthen barriers. A modification to some models in which fast and slow pathway D</span><sub>Rn</sub><span>&nbsp;values are partitioned appears to give a good representation of the data; 4% of the fast pathway was needed to fit the data regression. For locations with high S</span><sub>w</sub><span>&nbsp;and highest D</span><sub>Rn</sub><span>&nbsp;(and fluxes) at each site, the proportion of fast pathway ranged from 1.7% to 34%, but for many locations with lower fluxes, little if any fast pathway was needed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvrad.2023.107140","usgsCitation":"Fuhrmann, M., Caldwell, T., Likos, W.J., Waugh, W.J., Williams, M.M., and Benson, C.H., 2023, Evolving radon diffusion through earthen barriers at uranium waste disposal sites: Journal of Environmental Radioactivity, v. 262, 107140, 7 p., https://doi.org/10.1016/j.jenvrad.2023.107140.","productDescription":"107140, 7 p.","ipdsId":"IP-140005","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":444139,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2424456","text":"External Repository"},{"id":414702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuhrmann, Mark","contributorId":293204,"corporation":false,"usgs":false,"family":"Fuhrmann","given":"Mark","email":"","affiliations":[{"id":12536,"text":"U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":867453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Likos, William J. 0000-0001-8177-6625","orcid":"https://orcid.org/0000-0001-8177-6625","contributorId":303390,"corporation":false,"usgs":false,"family":"Likos","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":867455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waugh, W. Jodi","contributorId":303391,"corporation":false,"usgs":false,"family":"Waugh","given":"W.","email":"","middleInitial":"Jodi","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Morgan M.","contributorId":303392,"corporation":false,"usgs":false,"family":"Williams","given":"Morgan","email":"","middleInitial":"M.","affiliations":[{"id":65785,"text":"RSI Entech","active":true,"usgs":false}],"preferred":false,"id":867457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benson, Craig H. 0000-0001-8871-382X","orcid":"https://orcid.org/0000-0001-8871-382X","contributorId":303394,"corporation":false,"usgs":false,"family":"Benson","given":"Craig","email":"","middleInitial":"H.","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":867458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255298,"text":"70255298 - 2023 - Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","interactions":[],"lastModifiedDate":"2024-06-14T12:24:56.984299","indexId":"70255298","displayToPublicDate":"2023-03-21T07:19:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Knowledge of snow cover distribution and disappearance dates over a wide range of scales is imperative for understanding hydrological dynamics and for habitat management of wildlife species that rely on snow cover. Identification of snow refugia, or places with relatively late snow disappearance dates (SDDs) compared to surrounding areas, is especially important as climate change alters snow cover timing and duration. The purpose of this study was to increase understanding of snow refugia in complex terrain spanning the rain-snow transition zone at fine spatial and temporal scales. To accomplish this objective, we used remote cameras to provide relatively high temporal and spatial resolution measurements on snowpack conditions. We built linear models to relate SDDs at the monitoring sites to topoclimatic and canopy cover metrics. One model to quantify SDDs included elevation, aspect, and an interaction between canopy cover and cold-air pooling potential. High-elevation, north-facing sites in cold-air pools (CAPs) had the latest SDDs, but isolated lower-elevation points also exhibited relatively late potential SDDs. Importantly, canopy cover had a much stronger effect on SDDs in CAPs than in non-CAPs, indicating that best practices in forest management for snow refugia could vary across microtopography. A second model that included<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>hydroclimate observations (December<i>–</i>February (DJF) temperature and March 1 snow depth) indicated that March 1 snow depth had little impact on SDD at the coldest winter temperatures, and that DJF temperatures had a stronger effect on SDD at lower snow depths, implying that the relative importance of snowfall and temperature could vary across hydroclimatic contexts in their impact on snow refugia. This new understanding of factors influencing snow refugia can guide forest management actions to increase snow retention and inform management of snow-dependent wildlife species in complex terrain.</p></div>","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/acbb90","usgsCitation":"Strickfaden, K.M., Marshall, A.M., Svancara, L.K., Dugger, K., and Link, T.E., 2023, Understanding the spatiotemporal distribution of snow refugia in the rain-snow transition zone of north-central Idaho: Environmental Research Letters, v. 18, 044014, 11 p., https://doi.org/10.1088/1748-9326/acbb90.","productDescription":"044014, 11 p.","ipdsId":"IP-147918","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acbb90","text":"Publisher Index Page"},{"id":430200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Strickfaden, Kaitlyn M.","contributorId":339386,"corporation":false,"usgs":false,"family":"Strickfaden","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Adrienne M.","contributorId":339387,"corporation":false,"usgs":false,"family":"Marshall","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":904128,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":339389,"corporation":false,"usgs":false,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":904129,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904130,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Link, Timothy E.","contributorId":339393,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":904131,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249179,"text":"70249179 - 2023 - Extensive regional variation in the phenology of insects and their response to temperature across North America","interactions":[],"lastModifiedDate":"2023-09-29T12:29:08.333477","indexId":"70249179","displayToPublicDate":"2023-03-21T07:02:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Extensive regional variation in the phenology of insects and their response to temperature across North America","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Climate change models often assume similar responses to temperatures across the range of a species, but local adaptation or phenotypic plasticity can lead plants and animals to respond differently to temperature in different parts of their range. To date, there have been few tests of this assumption at the scale of continents, so it is unclear if this is a large-scale problem. Here, we examined the assumption that insect taxa show similar responses to temperature at 96 sites in grassy habitats across North America. We sampled insects with Malaise traps during 2019–2021 (<i>N</i> = 1041 samples) and examined the biomass of insects in relation to temperature and time of season. Our samples mostly contained Diptera (33%), Lepidoptera (19%), Hymenoptera (18%), and Coleoptera (10%). We found strong regional differences in the phenology of insects and their response to temperature, even within the same taxonomic group, habitat type, and time of season. For example, the biomass of nematoceran flies increased across the season in the central part of the continent, but it only showed a small increase in the Northeast and a seasonal decline in the Southeast and West. At a smaller scale, insect biomass at different traps operating on the same days was correlated up to ~75 km apart. Large-scale geographic and phenological variation in insect biomass and abundance has not been studied well, and it is a major source of controversy in previous analyses of insect declines that have aggregated studies from different locations and time periods. Our study illustrates that large-scale predictions about changes in insect populations, and their causes, will need to incorporate regional and taxonomic differences in the response to temperature.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4036","usgsCitation":"Dunn, P., Ahmed, I., Armstrong, E., Barlow, N., Barnard, M., Belisle, M., Benson, T., Berzins, L., Boynton, C., Brown, T.A., Cady, M., Cameron, K., Chen, X., Clark, B., Clotfelter, E., Cromwell, K., Dawson, R., Denton, E., Forbes, A., Fowler, K., Gandhi, K., Garant, D., Hiebert, M., Houchen, C., Houtz, J., Imlay, T., Inouye, B., Inouye, D., Jackson, M., Jacobson, A., Jayd, K., Juteau, C., Kautz, A., Killian, C., Komatsu, K.J., Larsen, K., Laughlin, A., Levesque-Beaudin, V., Leys, R., Long, E., Lougheed, S., Mackenzie, S., Marangelo, J., Miller, C., Molano-Flores, B., Morrissey, C., Nicholls, E., Orlofske, J., Pearse, I., Peck, K., Pelletier, F., Pitt, A., Poston, J., Racke, D., Randall, J.A., Richardson, M., Rooney, O., Ruegg, A.R., Rush, S., Ryan, S.J., Sadowski, M., Schoepf, I., Schulz, L., Shea, B., Sheehan, T., Siefferman, L., Sikes, D., Stanback, M., Styrsky, J., Styrsky, J., Taff, C., Uehling, J., Uvino, K., Wassmer, T., Weglarz, K., Weinberger, M., Wenzel, J., and Whittingham, L., 2023, Extensive regional variation in the phenology of insects and their response to temperature across North America: Ecology, v. 104, no. 5, e4036, 17 p., https://doi.org/10.1002/ecy.4036.","productDescription":"e4036, 17 p.","ipdsId":"IP-116242","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4036","text":"Publisher Index Page"},{"id":421386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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,{"id":70241616,"text":"70241616 - 2023 - Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","interactions":[],"lastModifiedDate":"2023-03-24T11:57:44.122655","indexId":"70241616","displayToPublicDate":"2023-03-21T06:53:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In this Perspective, we put forward an integrative framework to improve estimates of land-atmosphere carbon exchange based on the accumulation of carbon in the landscape as constrained by its lateral export through rivers. The framework uses the watershed as the fundamental spatial unit and integrates all terrestrial and aquatic ecosystems as well as their hydrologic carbon exchanges. Application of the framework should help bridge the existing gap between land and atmosphere-based approaches and offers a platform to increase communication and synergy among the terrestrial, aquatic, and atmospheric research communities that is paramount to advance landscape carbon budget assessments.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-37232-2","usgsCitation":"Casas-Ruiz, J., Bodmer, P., Bona, K.A., Butman, D., Couturier, M., Emilson, E.J., Finlay, K., Genet, H., Hayes, D., Karlsson, J., Pare, D., Peng, C., Striegl, R.G., Webb, J., Wei, X., Ziegler, S., and Del Giorgio, P., 2023, Integrating terrestrial and aquatic ecosystems to constrain estimates of land-atmosphere carbon exchange: Nature Communications, v. 14, 1571, 17 p., https://doi.org/10.1038/s41467-023-37232-2.","productDescription":"1571, 17 p.","ipdsId":"IP-146296","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-37232-2","text":"Publisher Index Page"},{"id":414690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Casas-Ruiz, Joan","contributorId":303397,"corporation":false,"usgs":false,"family":"Casas-Ruiz","given":"Joan","email":"","affiliations":[{"id":65789,"text":"Research Group on Ecology of Inland Waters, Institute of Aquatic Ecology, University of Girona, Girona, Spain","active":true,"usgs":false}],"preferred":false,"id":867499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bodmer, Pascal","contributorId":303398,"corporation":false,"usgs":false,"family":"Bodmer","given":"Pascal","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques,  Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bona, Kelly Ann","contributorId":303399,"corporation":false,"usgs":false,"family":"Bona","given":"Kelly","email":"","middleInitial":"Ann","affiliations":[{"id":65791,"text":"Environment and Climate Change Canada, Gatineau, Quebec, Canada","active":true,"usgs":false}],"preferred":false,"id":867501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butman, David","contributorId":224754,"corporation":false,"usgs":false,"family":"Butman","given":"David","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":867502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Couturier, Mathilde","contributorId":303400,"corporation":false,"usgs":false,"family":"Couturier","given":"Mathilde","email":"","affiliations":[{"id":65790,"text":"Groupe de Recherche Interuniversitaire en Limnologie (GRIL), Département des sciences biologiques,  Université du Québec à Montréal, Montréal, Québec, Canada","active":true,"usgs":false}],"preferred":false,"id":867503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emilson, Erik J.S.","contributorId":245463,"corporation":false,"usgs":false,"family":"Emilson","given":"Erik","email":"","middleInitial":"J.S.","affiliations":[{"id":49199,"text":"Natural Resources Canada, Canadian Forest ServiceGreat Lakes Forestry Centre, Sault Ste. 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,{"id":70241783,"text":"70241783 - 2023 - Prolonged influence of urbanization on landslide susceptibility","interactions":[],"lastModifiedDate":"2023-06-27T16:45:19.132676","indexId":"70241783","displayToPublicDate":"2023-03-21T06:50:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Prolonged influence of urbanization on landslide susceptibility","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Landslides pose a threat to life and infrastructure and are influenced by anthropogenic modifications associated with land development. These modifications can affect susceptibility to landslides, and thus quantifying their influence on landslide occurrence can help design sustainable development efforts. Although landslide susceptibility has been shown to increase following urban expansion, the long-lasting effect of urbanization on landslide susceptibility remains largely unquantified. Hence, susceptibility maps developed based on inventories from non-urbanized areas may incorrectly evaluate the hazard in urbanized areas. To quantify this effect, we analyzed a landslide inventory from southwestern Pennsylvania, where the pulse of urbanization occurred more than a decade before the inventory was created. Using road density as a proxy for urbanization, the study area was divided into urbanized and non-urbanized areas. Susceptibility patterns were computed using statistical analyses of a post-urbanization landslide inventory together with maps of topographic, land cover, and geologic factors. A pre-urbanization landslide inventory was used as a control. Our findings indicate that urbanization has a decades-long effect on landslide susceptibility, where urbanized areas are generally more susceptible to landslides. In urbanized areas landslides are strongly associated with distance from roads and topographic curvature, whereas in non-urbanized landslides are strongly associated with stratigraphic formation and distance from streams. The consistent differences in susceptibility patterns between urbanized and non-urbanized areas indicate that urbanization has a long-lasting effect on landslide susceptibility and that susceptibility estimates should be made separately for these different environments to account for the persistent influence of urbanization.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10346-023-02050-6","usgsCitation":"Rohan, T., Shelef, E., Mirus, B., and Coleman, T., 2023, Prolonged influence of urbanization on landslide susceptibility: Landslides, v. 20, p. 1433-1447, https://doi.org/10.1007/s10346-023-02050-6.","productDescription":"15 p.","startPage":"1433","endPage":"1447","ipdsId":"IP-137866","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":414764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.17340193949869,\n              40.579452133548045\n            ],\n            [\n              -80.17340193949869,\n              40.28689526175373\n            ],\n            [\n              -79.7753187844297,\n              40.28689526175373\n            ],\n            [\n              -79.7753187844297,\n              40.579452133548045\n            ],\n            [\n              -80.17340193949869,\n              40.579452133548045\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","noUsgsAuthors":false,"publicationDate":"2023-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rohan, Tyler","contributorId":303562,"corporation":false,"usgs":false,"family":"Rohan","given":"Tyler","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelef, Eitan","contributorId":303563,"corporation":false,"usgs":false,"family":"Shelef","given":"Eitan","email":"","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":867553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":867554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, Tim","contributorId":303564,"corporation":false,"usgs":false,"family":"Coleman","given":"Tim","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":867555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241605,"text":"70241605 - 2023 - Classifying freshwater salinity regimes in central and western U.S. streams and rivers","interactions":[],"lastModifiedDate":"2023-03-24T11:45:02.912093","indexId":"70241605","displayToPublicDate":"2023-03-21T06:42:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Classifying freshwater salinity regimes in central and western U.S. streams and rivers","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Freshwater salinization of rivers is occurring across the globe because of nonpoint source loading of salts from anthropogenic activities such as agriculture, urbanization, and resource extraction that accelerate weathering and release salts. Multidecadal trends in river salinity are well characterized, yet our understanding of annual regimes of salinity in rivers draining diverse central and western U.S. landscapes and their associated catchment attributes is limited. We classified annual salinity regimes in 242 stream locations through dynamic time warping and fuzzy c-medoids clustering of salinity time series. We found two dominant regimes in salinity characterized by an annual<span>&nbsp;</span><i>summer–fall peak</i><span>&nbsp;</span>or<span>&nbsp;</span><i>spring decline</i>. Using random forest regression, we found that precipitation amount, stream slope, and soil salinity were the most important predictors of salinity regime classification. Advancing our understanding of salinity regimes in rivers will improve our ability to predict and mitigate the effects of salinization in freshwater ecosystems through management interventions.</p></div></div>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10251","usgsCitation":"Bolotin, L., Summers, B., Savoy, P., and Blaszczak, J., 2023, Classifying freshwater salinity regimes in central and western U.S. streams and rivers: Limnology and Oceanography Letters, v. 8, no. 1, p. 103-111, https://doi.org/10.1002/lol2.10251.","productDescription":"9 p.","startPage":"103","endPage":"111","ipdsId":"IP-135747","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":444147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10251","text":"Publisher Index Page"},{"id":414688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -126.648366924961,\n              49.896434024635596\n            ],\n            [\n              -126.648366924961,\n              27.852472947447197\n            ],\n            [\n              -90.10158788853641,\n              27.852472947447197\n            ],\n            [\n              -90.10158788853641,\n              49.896434024635596\n            ],\n            [\n              -126.648366924961,\n              49.896434024635596\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Bolotin, Lauren 0000-0002-0295-9544","orcid":"https://orcid.org/0000-0002-0295-9544","contributorId":303395,"corporation":false,"usgs":false,"family":"Bolotin","given":"Lauren","email":"","affiliations":[{"id":65787,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science, Reno, NV, USA","active":true,"usgs":false}],"preferred":false,"id":867465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Summers, Betsy 0000-0001-9106-1316","orcid":"https://orcid.org/0000-0001-9106-1316","contributorId":303396,"corporation":false,"usgs":false,"family":"Summers","given":"Betsy","email":"","affiliations":[{"id":65788,"text":"University of New Mexico, Department of Civil, Construction and Environmental Engineering, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":867466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blaszczak, Joanna 0000-0001-5122-0829","orcid":"https://orcid.org/0000-0001-5122-0829","contributorId":225159,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","affiliations":[{"id":41055,"text":"Natural Resources and Environmental Science, University of Nevada, Reno, NV 89557, USA","active":true,"usgs":false}],"preferred":false,"id":867468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248698,"text":"70248698 - 2023 - Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","interactions":[],"lastModifiedDate":"2023-09-18T15:11:46.537668","indexId":"70248698","displayToPublicDate":"2023-03-20T10:08:05","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions","docAbstract":"<p><span>This research builds upon the extensive body of work to model exotic annual grass (EAG) characteristics and invasion. EAGs increase wildland fire risk and intensifies wildland fire behavior in western U.S. rangelands. Therefore, understanding characteristics of EAG growth increases understanding of its dynamics and can inform rangeland management decisions. To better understand EAG phenology and spatial distribution, monthly weather (precipitation, minimum and maximum temperature) variables were analyzed for 24 level III ecoregions. This research characterizes EAGs’ phenology identified by a normalized difference vegetation index (NDVI) threshold-based interpolation technique. An EAG phenology metric model was used to estimate a growing season dynamic for the years 2017–2021 for shrub and herbaceous land cover types in the western conterminous United States (66% of the area). The EAG phenology metrics include six growing season metrics such as start of season time, end of season time, and time of maximum NDVI during the growing season. The models’ cross validation results for Pearson’s&nbsp;</span><i>r</i><span>&nbsp;ranged from 0.88 to 0.95. Increased understanding of the effects that weather conditions have on EAG growth and spatial distribution can help land managers develop time-sensitive plans to protect entities deemed valuable to society like native habitat, wildlife, recreational areas, and air quality.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03021-7","usgsCitation":"Benedict, T.D., Boyte, S., Dahal, D., Shrestha, D., Parajuli, S., and Megard, L.J., 2023, Extracting exotic annual grass phenology and climate relations in western U.S. rangeland ecoregions: Biological Invasions, v. 25, no. 6, p. 2023-2041, https://doi.org/10.1007/s10530-023-03021-7.","productDescription":"19 p.","startPage":"2023","endPage":"2041","ipdsId":"IP-142073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":444150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10530-023-03021-7","text":"Publisher Index Page"},{"id":420892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western rangeland ecoregions","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.65411238548961,\n              31.65662850136495\n            ],\n            [\n              -104.9541814790613,\n              30.58151996545881\n            ],\n            [\n              -103.96447875595098,\n              29.147693161865604\n            ],\n            [\n              -103.06464516959142,\n              29.01291370558677\n            ],\n            [\n              -101.94430938864508,\n              29.88249002262684\n            ],\n            [\n              -103.45985376651976,\n              33.39173604645855\n            ],\n            [\n              -99.9051666033819,\n              36.453592386571685\n            ],\n            [\n              -104.37905123731514,\n              40.4174214338594\n            ],\n            [\n              -102.76693247266672,\n              43.27871255434721\n            ],\n            [\n              -103.45312273615582,\n              43.867000211596064\n            ],\n            [\n              -103.06932872484526,\n              47.50819129704254\n            ],\n            [\n              -104.24197507604552,\n              48.955629038432335\n            ],\n            [\n              -119.90989162686165,\n              48.90834227423642\n            ],\n            [\n              -124.03359295438983,\n              39.59312960077685\n            ],\n            [\n              -121.36210304368723,\n              35.84218979482037\n            ],\n            [\n              -120.6017562531803,\n              34.4275595810672\n            ],\n            [\n              -117.12832408303154,\n              33.146855326580635\n            ],\n            [\n              -116.70587798426669,\n              32.4966470230782\n            ],\n            [\n              -114.4290589092368,\n              32.50784479236498\n            ],\n            [\n              -110.84210298257005,\n              31.247145770122813\n            ],\n            [\n              -108.1485377455515,\n              31.368189624235015\n            ],\n            [\n              -108.17048369674617,\n              31.766144953613477\n            ],\n            [\n              -106.65411238548961,\n              31.65662850136495\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"25","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Benedict, Trenton D 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":256662,"corporation":false,"usgs":false,"family":"Benedict","given":"Trenton","email":"","middleInitial":"D","affiliations":[{"id":51826,"text":"KBR, Inc. Contractor to the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":883232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":883233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":883234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shrestha, Dinesh 0000-0003-2606-8524","orcid":"https://orcid.org/0000-0003-2606-8524","contributorId":257263,"corporation":false,"usgs":false,"family":"Shrestha","given":"Dinesh","email":"","affiliations":[{"id":51997,"text":"KBR Inc, contractor to  the USGS Earth Resources Observation & Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":883235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parajuli, Sujan 0000-0002-1652-3063","orcid":"https://orcid.org/0000-0002-1652-3063","contributorId":275653,"corporation":false,"usgs":false,"family":"Parajuli","given":"Sujan","affiliations":[{"id":56871,"text":"KBR Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Megard, Logan J. 0000-0002-0150-4521","orcid":"https://orcid.org/0000-0002-0150-4521","contributorId":275655,"corporation":false,"usgs":false,"family":"Megard","given":"Logan","email":"","middleInitial":"J.","affiliations":[{"id":56872,"text":"C2G Inc. Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":883237,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70266729,"text":"70266729 - 2023 - Multistage hierarchical capture–recapture models","interactions":[],"lastModifiedDate":"2025-05-12T14:59:43.43047","indexId":"70266729","displayToPublicDate":"2023-03-20T09:57:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Multistage hierarchical capture–recapture models","docAbstract":"<p><span>Ecologists increasingly rely on Bayesian methods to fit capture–recapture models. Capture–recapture models are used to estimate abundance while accounting for imperfect detectability in individual-level data. A variety of implementations exist for such models, including integrated likelihood, parameter-expanded data augmentation, and combinations of those. Capture–recapture models with latent random effects can be computationally intensive to fit using conventional Bayesian algorithms. We identify alternative specifications of capture–recapture models by considering a conditional representation of the model structure. The resulting alternative model can be specified in a way that leads to more stable computation and allows us to fit the desired model in stages while leveraging parallel computing resources. Our model specification includes a component for the capture history of detected individuals and another component for the sample size which is random before observed. We demonstrate this approach using three examples including simulation and two datasets resulting from capture–recapture studies of different species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.2799","usgsCitation":"Hooten, M., Schwob, M., Johnson, D., and Ivan, J., 2023, Multistage hierarchical capture–recapture models, v. 34, no. 6, e2799, 14 p., https://doi.org/10.1002/env.2799.","productDescription":"e2799, 14 p.","ipdsId":"IP-129867","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":936613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwob, Michael 0000-0001-6367-2013","orcid":"https://orcid.org/0000-0001-6367-2013","contributorId":315373,"corporation":false,"usgs":false,"family":"Schwob","given":"Michael","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":936614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Devin","contributorId":346945,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":936616,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70241438,"text":"70241438 - 2023 - Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","interactions":[],"lastModifiedDate":"2023-03-20T14:59:25.897924","indexId":"70241438","displayToPublicDate":"2023-03-20T09:51:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?","docAbstract":"<p>The Round Goby (<i>Neogobius melanostomus</i>) is an invasive benthic fish indigenous to the Ponto-Caspian region of Eurasia. It recently colonized the Great Lakes and has expanded eastward through the New York State Canal System over the past decade. The species was first documented in the Mohawk River watershed in 2014 and was found in the Hudson River in 2021. Round Goby can adversely affect aquatic ecosystems in many ways such as outcompeting native benthic fishes, consuming the eggs of nest-building species such as Smallmouth Bass (<i>Micropterus dolomieu</i>), and transferring contaminants to higher trophic levels (e.g., desirable gamefish). They can also carry the viral hemorrhagic septicemia (VHS) virus which has been linked to fish kills in New York and some evidence suggests Round Goby are an important vector in avian botulism outbreaks. However, the presence of Round Goby has also been linked to faster growth rate and larger maximum size of some predators such as Smallmouth Bass. ed watersheds of the northeastern United States.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mohawk Watershed Symposium 2023 abstracts and program","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"Mohawk Watershed Symposium 2023","conferenceDate":"March 17, 2023","conferenceLocation":"Schenectady, NY","language":"English","publisher":"Union College","usgsCitation":"George, S.D., Baldigo, B., Rees, C., Bartron, M.L., Pendleton, R., and Pearson, S., 2023, Invasive Round Goby in the Mohawk and Hudson Rivers: What’s the latest?, <i>in</i> Mohawk Watershed Symposium 2023 abstracts and program, Schenectady, NY, March 17, 2023, p. 21-23.","productDescription":"3 p.","startPage":"21","endPage":"23","ipdsId":"IP-148828","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":414370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414368,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://minerva.union.edu/garverj/mws/2023/symposium.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Hudson River, Mohawk River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.2056012272887,\n              44.87799282933736\n            ],\n            [\n              -76.62652177537367,\n              44.87799282933736\n            ],\n            [\n              -76.62652177537367,\n              41.997425542519494\n            ],\n            [\n              -73.2056012272887,\n              41.997425542519494\n            ],\n            [\n              -73.2056012272887,\n              44.87799282933736\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":866854,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartron, Meredith L.","contributorId":149109,"corporation":false,"usgs":false,"family":"Bartron","given":"Meredith","email":"","middleInitial":"L.","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false},{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":866855,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":866856,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Steven","contributorId":303228,"corporation":false,"usgs":false,"family":"Pearson","given":"Steven","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":866857,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241606,"text":"70241606 - 2023 - A targeted annual warning system developed for the conservation of a sagebrush indicator species","interactions":[],"lastModifiedDate":"2023-03-24T12:07:59.966599","indexId":"70241606","displayToPublicDate":"2023-03-20T07:02:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A targeted annual warning system developed for the conservation of a sagebrush indicator species","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">A fundamental goal of population ecologists is to identify drivers responsible for temporal variation in abundance. Understanding whether variation is associated with environmental stochasticity or anthropogenic disturbances, which are more amenable to management action, is crucial yet difficult to achieve. Here, we present a hierarchical monitoring framework that models rates of change in abundance from spatially structured populations and identifies when local declines fall out of synchrony with trends at larger spatial scales. Importantly, the framework provides signals that alert managers to the categorical significance of observed declines while avoiding signals where declines result from drivers operating at larger spatial scales (e.g., periodic reductions in primary productivity owing to drought). We demonstrate utility through application to a rapidly declining sagebrush (<i>Artemisia</i><span>&nbsp;</span>spp.) indicator species (greater sage-grouse;<span>&nbsp;</span><i>Centrocercus urophasianus</i>) using 30&nbsp;years (1990–2019) of count data collected from&nbsp;greater than&nbsp;4,400 leks (habitual breeding sites) distributed across the western United States. Results revealed population declines, immediately preceding triggers (2–4-year period), ranging between 58 and 68%. Conversely, population trends unassociated with triggers showed little-to-no sign of decline. Retrospective application of the monitoring framework indicated an average annual rate of 1.7% of leks or 1.3% of neighborhood clusters (lek aggregations) would have required management intervention to reverse range-wide declines and stabilize the U.S. population as a whole.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110097","usgsCitation":"Prochazka, B.G., Coates, P.S., O’Donnell, M.S., Edmunds, D.R., Monroe, A., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., Doherty, K., Chenaille, M.P., and Aldridge, C.L., 2023, A targeted annual warning system developed for the conservation of a sagebrush indicator species: Ecological Indicators, v. 148, 110097, 13 p., https://doi.org/10.1016/j.ecolind.2023.110097.","productDescription":"110097, 13 p.","ipdsId":"IP-133976","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research 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Center","active":true,"usgs":true}],"preferred":true,"id":867470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wann, Gregory T. 0000-0001-9076-7819 wanng@usgs.gov","orcid":"https://orcid.org/0000-0001-9076-7819","contributorId":3855,"corporation":false,"usgs":true,"family":"Wann","given":"Gregory","email":"wanng@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867475,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":867476,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":867477,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":867478,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chenaille, Michael P. 0000-0003-3387-7899 mchenaille@usgs.gov","orcid":"https://orcid.org/0000-0003-3387-7899","contributorId":194661,"corporation":false,"usgs":true,"family":"Chenaille","given":"Michael","email":"mchenaille@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867479,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":867480,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70242878,"text":"70242878 - 2023 - Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","interactions":[],"lastModifiedDate":"2023-07-24T16:43:22.658419","indexId":"70242878","displayToPublicDate":"2023-03-20T06:46:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>There is inconsistent evidence that stream restoration projects lead to recovery of ecosystem attributes, especially stream biota. While some assessments have documented desired changes in fish community metrics in the first years following restoration, longer-term studies have not always corroborated these findings. In this study, we used data and monitoring reports submitted to federal regulators by stream mitigation consultants to examine whether in-stream restoration activities led to changes in fish community attributes at 23 compensatory mitigation projects representing 53 sampling sites in Georgia, United States over 7 years of post-restoration monitoring. Modeling results indicated that abundance and species richness of fishes generally increased in the first years after restoration before decreasing to baseline levels by the seventh year. This pattern was consistent for models considering sensitive fish taxa, as well as at sites across a range of agricultural and forested land cover percentages. However, the effect of restoration on species richness was dampened in larger streams and at more urbanized locations. A community trajectory analysis supported the findings that fish community change was transitory at most sites. Remote estimation of canopy cover change at restoration sites suggested that the hump-shaped response may be driven by increased light availability during the immediate-post restoration period, followed by subsequent re-shading of stream channels by riparian plantings. Our analysis indicates that reach-level manipulation of streams should not be expected to induce long-term changes in fish communities, and that publicly available monitoring reports may be leveraged to address questions of stream restoration efficacy.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13903","usgsCitation":"Stowe, E.S., Petersen, K.N., Rao, S., Walther, E.J., Freeman, M., and Wenger, S., 2023, Stream restoration produces transitory, not permanent, changes to fish assemblages at compensatory mitigation sites: Restoration Ecology, v. 31, no. 5, e13903, 13 p., https://doi.org/10.1111/rec.13903.","productDescription":"e13903, 13 p.","ipdsId":"IP-147610","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":444160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13903","text":"Publisher Index Page"},{"id":419263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Stowe, Edward S.","contributorId":273256,"corporation":false,"usgs":false,"family":"Stowe","given":"Edward","email":"","middleInitial":"S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petersen, Kelly N.","contributorId":261735,"corporation":false,"usgs":false,"family":"Petersen","given":"Kelly","email":"","middleInitial":"N.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rao, Shishir","contributorId":304287,"corporation":false,"usgs":false,"family":"Rao","given":"Shishir","email":"","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walther, Eric J.","contributorId":304288,"corporation":false,"usgs":false,"family":"Walther","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":870088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":870089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":870090,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241816,"text":"70241816 - 2023 - Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","interactions":[],"lastModifiedDate":"2023-03-28T14:32:55.230826","indexId":"70241816","displayToPublicDate":"2023-03-20T06:41:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Above- and belowground biomass carbon stock and net primary productivity maps for tidal herbaceous marshes of the United States","docAbstract":"<div class=\"html-p\">Accurate assessments of greenhouse gas emissions and carbon sequestration in natural ecosystems are necessary to develop climate mitigation strategies. Regional and national-level assessments of carbon sequestration require high-resolution data to be available for large areas, increasing the need for remote sensing products that quantify carbon stocks and fluxes. The Intergovernmental Panel on Climate Change (IPCC) provides guidelines on how to quantify carbon flux using land cover land change and biomass carbon stock information. Net primary productivity (NPP), carbon uptake, and storage in vegetation, can also be used to model net carbon sequestration and net carbon export from an ecosystem (net ecosystem carbon balance). While biomass and NPP map products for terrestrial ecosystems are available, there are currently no conterminous United States (CONUS) biomass carbon stock or NPP maps for tidal herbaceous marshes. In this study, we used peak soil adjusted vegetation index (SAVI) values, derived from Landsat 8 composites, and five other vegetation indices, plus a categorical variable for the CONUS region (Pacific Northwest, California, Northeast, Mid-Atlantic, South Atlantic-Gulf, or Everglades), to model spatially explicit aboveground peak biomass stocks in tidal marshes (i.e., tidal palustrine and estuarine herbaceous marshes) for the first time. Tidal marsh carbon conversion factors, root-to-shoot ratios, and vegetation turnover rates, were compiled from the literature and used to convert peak aboveground biomass to peak total (above- and belowground) biomass and NPP. An extensive literature search for aboveground turnover rates produced sparse and variable values; therefore, we used an informed assumption of a turnover rate of one crop per year for all CONUS tidal marshes. Due to the lack of turnover rate data, the NPP map is identical to the peak biomass carbon stock map. In reality, it is probable that turnover rate varies by region, given seasonal length differences; however, the NPP map provides the best available information on spatially explicit CONUS tidal marsh NPP. This study identifies gaps in the scientific knowledge, to support future studies in addressing this lack of turnover data. Across CONUS, average total peak biomass carbon stock in tidal marshes was 848 g C m<sup>−2</sup><span>&nbsp;</span>(871 g C m<sup>−2</sup><span>&nbsp;</span>in palustrine and 838 g C m<sup>−2</sup><span>&nbsp;</span>in estuarine marshes), and based on a median biomass turnover rate of 1, it is expected that the mean NPP annual flux for tidal marshes is similar (e.g., 848 g C m<sup>−2</sup><span>&nbsp;</span>y<sup>−1</sup>). Peak biomass carbon stocks in tidal marshes were lowest in the Florida Everglades region and highest in the California regions. These are the first fine-scale national maps of biomass carbon and NPP for tidal wetlands, spanning all of CONUS. These estimates of CONUS total peak biomass carbon stocks and NPP rates for tidal marshes can support regional- and national-scale assessments of greenhouse gas emissions, as well as natural resource management of coastal wetlands, as part of nature-based climate solution efforts.</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15061697","usgsCitation":"Woltz, V., Stagg, C., Byrd, K.B., Windham-Myers, L., Andre S. 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Rovai","affiliations":[{"id":65880,"text":"Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":867815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":867816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241473,"text":"70241473 - 2023 - Advances in transboundary aquifer assessment","interactions":[],"lastModifiedDate":"2023-03-21T11:40:46.551051","indexId":"70241473","displayToPublicDate":"2023-03-20T06:37:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Advances in transboundary aquifer assessment","docAbstract":"<div class=\"html-p\">This Special Issue is intended to highlight both recent work to advance the physical understanding of transboundary aquifers and factors relevant in successful collaboration on transboundary groundwater resource use. The collected papers address: (1) the identification and prioritization of the needs and strategies for sustainable groundwater development and use, along with the complexities introduced by working across borders with differing governance frameworks, institutions, cultures, and sometimes languages; (2) the characterization of the physical framework of the aquifer, stressors on the aquifer system, and how those stressors influence the availability of groundwater in terms of its quantity and quality; and (3) the incorporation of stakeholder input and prioritization directly into the process of aquifer assessment and model building. The papers provide insights into the state of knowledge regarding the physical characterization of important transboundary aquifers, primarily along the U.S.–Mexico border and the opportunities for greater stakeholder involvement in resource evaluation and prioritization. They point the way towards a future focus that combines both of these aspects of transboundary aquifer assessment for informing groundwater management discussions by policymakers.</div>","language":"English","publisher":"MDPI","doi":"10.3390/w15061208","usgsCitation":"Matherne, A., and Megdal, S.B., 2023, Advances in transboundary aquifer assessment: Water, v. 15, no. 6, 1208, 7 p., https://doi.org/10.3390/w15061208.","productDescription":"1208, 7 p.","ipdsId":"IP-146259","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":444167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15061208","text":"Publisher Index Page"},{"id":414421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              30.417046183219966\n            ],\n            [\n              -104.51237611072469,\n              32.14383279973586\n            ],\n            [\n              -111.36493471418689,\n              32.14383279973586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              40.47995850135459\n            ],\n            [\n              -75.51439220417046,\n              48.94766903483233\n            ],\n            [\n              -92.90934865911173,\n              48.94766903483233\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Megdal, Sharon B.","contributorId":203874,"corporation":false,"usgs":false,"family":"Megdal","given":"Sharon","email":"","middleInitial":"B.","affiliations":[{"id":34969,"text":"University of Sonora","active":true,"usgs":false}],"preferred":false,"id":866958,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70240999,"text":"70240999 - 2023 - Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2023-04-12T15:13:56.801546","indexId":"70240999","displayToPublicDate":"2023-03-19T10:13:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River","docAbstract":"<p><span>Assemblage patterns and processes of aquatic vegetation in most large floodplain rivers are not well understood, particularly after plant recovery. Identifying vegetation types, which are recurring plant groupings based on species composition, diversity, and abundances, can describe plant assembly patterns and environmental drivers that aid conservation planning and management. We used a 22-year dataset (</span><i>n</i><span> = 18,000 sampling plots) to identify aquatic vegetation types during an “early phase” and “late phase” of plant recovery at multiple spatial scales nested within a 500-km river reach of the Upper Mississippi River, USA. We hypothesized that vegetation types varied according to scale because of the stark environmental differences among riverine habitats and differing regional species pools along the river's latitudinal gradient, and that the late phase of recovery had developed several new vegetation types. We first used cluster analyses at multiple spatiotemporal scales to identify the number of vegetation types and their characteristics, such as indicator species, species compositions and abundances, and diversity index. Then we applied a multivariate regression to pinpoint environmental factors (such as hydrodynamics, system productivity, local habitat, and water quality) that structured those vegetation types. Clustering revealed that ~90% of plots irrespective of recovery phase were not classified into vegetation types, which indicated that most aquatic sampling plots are unique in species composition and unpredictable. However, impounded areas upriver from dams had matured five vegetation types: lotus (</span><i>Nelumbo lutea</i><span>&nbsp;Willd.), submersed (a mix of 11 common submersed species), watercelery (</span><i>Vallisneria americana</i><span>&nbsp;Michx.), arrowheads (</span><i>Sagittaria rigida</i><span>&nbsp;Pursh and&nbsp;</span><i>Sagittaria latifolia</i><span>&nbsp;Willd.), and a diverse community (with high diversity indices and multiple life forms). The vegetation types were associated with three environmental gradients related to inundation depth and duration, system productivity, and water clarity. These five vegetation types are known to be of high ecological value to fish and wildlife and thus targets for restoration, for example, the watercelery community is principal forage for migrating canvasback ducks (</span><i>Aythya valisineria</i><span>) along the Mississippi River flyway. Our results provide insights on vegetation assembly during recovery and aid habitat conservation by providing quantitative, environmental targets for restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4468","usgsCitation":"Larson, D.M., Carhart, A., and Lund, E., 2023, Aquatic vegetation types identified during early and late phases of vegetation recovery in the Upper Mississippi River: Ecosphere, v. 14, no. 3, e4468, 20 p., https://doi.org/10.1002/ecs2.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-131066","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":444170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4468","text":"Publisher Index Page"},{"id":415663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ],\n            [\n              -89.99975982612516,\n              42.224983847864536\n            ],\n            [\n              -90.81533578734795,\n              43.0853039521503\n            ],\n            [\n              -91.17295281697338,\n              44.10941290093686\n            ],\n            [\n              -92.4919662081708,\n              44.74832598668567\n            ],\n            [\n              -92.97405022349875,\n              45.04742613671087\n            ],\n            [\n              -93.13038965400605,\n              44.71333048187006\n            ],\n            [\n              -91.91569538208077,\n              44.03813254031178\n            ],\n            [\n              -91.35537860580692,\n              43.326638741150475\n            ],\n            [\n              -91.34212433361859,\n              42.710247775085435\n            ],\n            [\n              -90.44333088312968,\n              42.162313420549964\n            ],\n            [\n              -90.79716133996195,\n              41.5831628575645\n            ],\n            [\n              -90.10976435882736,\n              41.60685944282207\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":865662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carhart, Alicia 0000-0002-9977-8124","orcid":"https://orcid.org/0000-0002-9977-8124","contributorId":223884,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Eric","contributorId":221777,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":865664,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248233,"text":"70248233 - 2023 - Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","interactions":[],"lastModifiedDate":"2023-09-05T12:11:07.324945","indexId":"70248233","displayToPublicDate":"2023-03-19T07:06:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16697,"text":"Transportation Research Record, Journal of the Transportation Research Board.","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Transportation agencies need information about the potential effects of climate change on the volume, quality, and treatment of stormwater to mitigate potential effects of runoff on receiving waters. To address these concerns, the U.S. Geological Survey and the Federal Highway Administration used the Coupled Model Intercomparison Project tool and the Stochastic Empirical Loading and Dilution Model to perform space-for-time stormwater quality analyses. This study indicated that spatial variations in precipitation statistics within and adjacent to southern New England are greater than projected climate-related changes for the centroid of this region. A dilution-factor analysis indicated that highway runoff would become a greater proportion of downstream flows if average event volumes or time between event midpoints increase and would become a smaller proportion of downstream flows if event durations increase. Highway-runoff yield analyses for total phosphorus (TP) indicate that uncertainty in water quality statistics results in variations in long-term average yields from about 1.69 to 7.96 times higher than the lowest TP values simulated. In comparison, variations in precipitation statistics cause yield variations that ranged from 1.41 to 1.76 for the different simulated concentrations. An analysis of stormwater treatment indicated that uncertainties in runoff treatment variables are also larger than the magnitude of climate variations. This study does not question the potentially large climate-related changes in hydrologic and hydraulic variables expected to occur in the foreseeable future. It does indicate that uncertainties in the current data and potential effects of land use change on stormwater quality and treatment variables are larger than the projected effects of climate change.</div></div></div>","language":"English","publisher":"Sage","doi":"10.1177/03611981231155183","usgsCitation":"Jeznach, L.C., Granato, G., Sharar-Salgado, D., Jones, S.C., and Imig, D., 2023, Assessing potential effects of climate change on highway-runoff flows and loads in southern New England by using planning-level space-for-time analyses: Transportation Research Record, Journal of the Transportation Research Board., v. 2677, no. 7, p. 570-581, https://doi.org/10.1177/03611981231155183.","productDescription":"12 p.","startPage":"570","endPage":"581","ipdsId":"IP-143447","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":444172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70242120,"text":"70242120 - 2023 - Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","interactions":[],"lastModifiedDate":"2023-07-26T16:16:17.770228","indexId":"70242120","displayToPublicDate":"2023-03-18T08:41:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections","docAbstract":"<p><span>Coastal habitats can play an important role in climate change mitigation. As Louisiana implements its climate action plan and the restoration and risk-reduction projects outlined in its 2017 Louisiana Coastal Master Plan, it is critical to consider potential greenhouse gas (GHG) fluxes in coastal habitats. This study estimated the potential climate mitigation role of existing, converted, and restored coastal habitats for years 2005, 2020, 2025, 2030, and 2050, which align with the Governor of Louisiana's GHG reduction targets. An analytical framework was developed that considered (1) available scientific data on net ecosystem carbon balance fluxes per habitat and (2) habitat areas projected from modeling efforts used for the 2017 Louisiana Coastal Master Plan to estimate the net GHG flux of coastal area. The coastal area was estimated as net GHG sinks of −38.4 ± 10.6 and −43.2 ± 12.0 Tg CO</span><sub>2</sub><span>&nbsp;equivalents (CO</span><sub>2</sub><span>e) in 2005 and 2020, respectively. The coastal area was projected to remain a net GHG sink in 2025 and 2030, both with and without the implementation of Coastal Master Plan projects (means ranged from −25.3 to −34.2 Tg CO</span><sub>2</sub><span>e). By 2050, with model-projected wetland loss and conversion of coastal habitats to open water due to coastal erosion and relative sea level rise, Louisiana's coastal area was projected to become a net source of GHG emissions both with and without the Coastal Master Plan projects. However, in the year 2050, the Louisiana Coastal Master Plan project implementation was projected to avoid the release of +8.8 ± 1.3 Tg CO</span><sub>2</sub><span>e compared with an alternative with no action. Reduction in current and future stressors to coastal habitats, including impacts from sea level rise, as well as the implementation of restoration projects could help to ensure coastal areas remain a natural climate solution.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2847","usgsCitation":"Baustian, M.M., Liu, B., Moss, L.C., Dausman, A., and Pahl, J.W., 2023, Climate change mitigation potential of Louisiana's coastal area: Current estimates and future projections: Ecological Applications, v. 23, no. 4, e2847, 22 p.; Data Release, https://doi.org/10.1002/eap.2847.","productDescription":"e2847, 22 p.; Data Release","ipdsId":"IP-147080","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444174,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2847","text":"Publisher Index Page"},{"id":415413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419359,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94Z2MZV","text":"A subset of 2017 Louisiana Coastal Master Plan model output to estimate climate change mitigation potential of Louisiana’s coastal area"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              28.629249419941743\n            ],\n            [\n              -89.0431895005861,\n              30.689846184930914\n            ],\n            [\n              -93.59801925944635,\n              30.689846184930914\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":868936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Bingqing","contributorId":304014,"corporation":false,"usgs":false,"family":"Liu","given":"Bingqing","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moss, Leland C.","contributorId":272644,"corporation":false,"usgs":false,"family":"Moss","given":"Leland","email":"","middleInitial":"C.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dausman, Alyssa","contributorId":223766,"corporation":false,"usgs":false,"family":"Dausman","given":"Alyssa","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":868939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pahl, James W.","contributorId":304017,"corporation":false,"usgs":false,"family":"Pahl","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":868940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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