{"pageNumber":"384","pageRowStart":"9575","pageSize":"25","recordCount":184660,"records":[{"id":70232518,"text":"70232518 - 2022 - Grassland conservation supports migratory birds and produces economic benefits for the commercial beekeeping industry in the U.S. Great Plains","interactions":[],"lastModifiedDate":"2022-07-06T12:29:16.536253","indexId":"70232518","displayToPublicDate":"2022-05-09T07:26:27","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Grassland conservation supports migratory birds and produces economic benefits for the commercial beekeeping industry in the U.S. Great Plains","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\"><span>Although declines in grassland birds have been documented, national initiatives to conserve grasslands and their biota have fallen short in part because the non-market values of natural ecosystems and species are often not recognized in political decision making. Identifying shared, anthropogenic threats faced by market-valued and non-market-valued species may generate additional support for grassland conservation. We quantify the relationship between the market value of grasslands to commercial&nbsp;beekeepers&nbsp;and the importance of grasslands for birds of conservation concern in North and South Dakota. Our models estimated&nbsp;beekeeping&nbsp;annual revenue increased by $7525 USD and grassland bird abundances increased 2 to 7% per 10-km</span><sup>2</sup><span>&nbsp;</span>increase in grassland area. We estimated grassland conversion from 2006 to 2012 resulted in a $2.0 to $2.8&nbsp;M USD decrease in annual revenue for beekeepers in the Dakotas. Through this study we demonstrate both the market value of grasslands to commercial beekeepers and the non-market benefits of grasslands in supporting migratory birds and discuss the implications of future land-use change. As grassland conversion and subsequent biodiversity loss continue, understanding the co-benefits of grassland conservation may be necessary to illuminate their contributions to society.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2022.107450","usgsCitation":"Otto, C., Zheng, H., Hovick, T., Post van der Burg, M., and Geaumont, B.A., 2022, Grassland conservation supports migratory birds and produces economic benefits for the commercial beekeeping industry in the U.S. Great Plains: Ecological Economics, v. 197, 107450, 10 p., https://doi.org/10.1016/j.ecolecon.2022.107450.","productDescription":"107450, 10 p.","ipdsId":"IP-133489","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":403056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South 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Dakota\",\"nation\":\"USA  \"}}]}","volume":"197","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Haochi","contributorId":207527,"corporation":false,"usgs":false,"family":"Zheng","given":"Haochi","email":"","affiliations":[{"id":17628,"text":"University of North Dakota","active":true,"usgs":false}],"preferred":false,"id":845752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hovick, Torre","contributorId":292774,"corporation":false,"usgs":false,"family":"Hovick","given":"Torre","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":845753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geaumont, Benjamin A.","contributorId":214259,"corporation":false,"usgs":false,"family":"Geaumont","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":39002,"text":"Hettinger Research Extension Center, North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":845754,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241477,"text":"70241477 - 2022 - What common-garden experiments tell us about climate responses in plants","interactions":[],"lastModifiedDate":"2023-03-21T12:20:18.416592","indexId":"70241477","displayToPublicDate":"2022-05-09T07:19:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"What common-garden experiments tell us about climate responses in plants","docAbstract":"<ol class=\"\"><li>Common garden experiments are indoor or outdoor plantings of species or populations collected from multiple distinct geographic locations, grown together under shared conditions. These experiments examine a range of questions for theory and application using a variety of methods for analysis. The eight papers of this special feature comprise a cross section of contemporary approaches, summarized and synthesized here by what they tell us about the relationships between climate-related trait spectra and fitness optima.</li><li>Four of the eight papers are based on field experiments in prairie, desert, Mediterranean and boreal biomes. Representative of many common garden experiments, these experiments reveal consistent evidence of traits varying with population climate provenance, but evidence of a tradeoff between growth and tolerance traits or of consistent fitness optimization at home is scant, in contrast to trait theory. Two synthesis papers highlight dominant patterns of trait divergence, including for an exotic invasive species. One theoretical paper warned that unknown kinship relationships between populations can result in the misidentification of adaptive trait divergence. A third synthesis paper formulated novel and ambitious goals for common-garden studies through including measurement of response variables at multiple levels of biological organization.</li><li>The featured papers discuss multiple avenues for improving common garden studies. Genomic analysis, together with the quantification of kinship relationships, will continue to reveal the influence of environmental drivers on gene selection. Measuring a more complete set of fitness traits, especially for traits related to regeneration, will permit the development of projection models to explicitly link trait spectra, climate patterns and fitness consequences. More standardized data reporting will additionally improve abilities to synthesize findings across experiments. Testing population performance in competition with other species will produce more robust fitness comparisons between genotypes, especially for slower-growing genotypes in higher-resource environments. Adding gardens in and beyond climatic edge locations will furthermore strengthen the understanding of population failure and species exclusion. Finally, there is unrealized potential in adding ecosystem-level observations to common-garden studies that will enhance integrative analysis across scales of biological organization and scientific domains.</li><li><i>Synthesis</i>. With novel, creative designs, data integration and synthesis, common garden experiments will continue to advance the understanding of trait ensembles interacting with climate across scales of biological organization, provide pivotal data for global change models and guide ecological applications such as restoration of habitats for rare and climate sensitive species.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13887","usgsCitation":"Schwinning, S., Lorti, C.J., Esque, T., and DeFalco, L., 2022, What common-garden experiments tell us about climate responses in plants: Journal of Ecology, v. 110, no. 5, p. 986-996, https://doi.org/10.1111/1365-2745.13887.","productDescription":"11 p.","startPage":"986","endPage":"996","ipdsId":"IP-138947","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447867,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13887","text":"Publisher Index Page"},{"id":414429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Schwinning, Susanne","contributorId":303275,"corporation":false,"usgs":false,"family":"Schwinning","given":"Susanne","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":866974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorti, Christopher J.","contributorId":303276,"corporation":false,"usgs":false,"family":"Lorti","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":866975,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866976,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeFalco, Lesley A. 0000-0002-7542-9261","orcid":"https://orcid.org/0000-0002-7542-9261","contributorId":208658,"corporation":false,"usgs":true,"family":"DeFalco","given":"Lesley A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":866977,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231381,"text":"70231381 - 2022 - Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network","interactions":[],"lastModifiedDate":"2022-09-01T14:34:12.884031","indexId":"70231381","displayToPublicDate":"2022-05-09T06:55:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network","docAbstract":"<div id=\"133275776\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>The U.S. Geological Survey (USGS) maintains an archive of 189,180 digitized scans of analog seismic records from the World‐Wide Standardized Seismograph Network (WWSSN). Although these scans have been made public, the archive is too large to manually review, and few researchers have utilized large numbers of these records. To facilitate further research using this historical dataset, we develop a simple convolutional neural network (CNN) that rapidly (∼4.75&nbsp;s/film chip) classifies scanned film chip images (called “chips,” because they are individually cut segments of 70&nbsp;mm film) into four categories of “interestingness” to earthquake seismologists based on the presence of earthquakes and other seismic signals in the record: “no interest,” “little interest,” “interest,” and “high interest.” The CNN, dubbed “Seismic Analog Record Network” (SARNet), can identify four types of seismic traces (“no events,” “minor events,” “major events,” and “errors”) in 200 × 200&nbsp;pixel subcrops with an accuracy of 92% using a confidence threshold of 85%. SARNet then converts 100 random subcrops from each film chip into the overall classification of interestingness. In this task, SARNet performed as well as expert human classifiers in determining the film chip’s overall interest grade. Applying SARNet to 34,000 film chips in the WWSSN archive found that 21% of the images were of “high interest” and had an “indeterminate” rate of only 4%. Thus, the need for the manual review of images was reduced by 79%. Sorting of film chips derived from SARNet will expedite further exploration of the archive of digitized analog seismic records stored at the USGS.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220220017","usgsCitation":"Nagle-McNaughton, N., Ringler, A.T., Anthony, R.E., Alejandro, A.C., Wilson, D.C., and Wilgus, J.T., 2022, Classifying Worldwide Standardized Seismograph Network records using a simple convolution neural network: Seismological Research Letters, v. 93, no. 5, p. 2451-2466, https://doi.org/10.1785/0220220017.","productDescription":"16 p.","startPage":"2451","endPage":"2466","ipdsId":"IP-135431","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":400380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagle-McNaughton, Nagle","contributorId":291491,"corporation":false,"usgs":false,"family":"Nagle-McNaughton","given":"Nagle","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":842454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alejandro, Alexis Casondra Bianca 0000-0002-3401-9303","orcid":"https://orcid.org/0000-0002-3401-9303","contributorId":246023,"corporation":false,"usgs":true,"family":"Alejandro","given":"Alexis","email":"","middleInitial":"Casondra Bianca","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilgus, Justin Thomas 0000-0001-9239-1579","orcid":"https://orcid.org/0000-0001-9239-1579","contributorId":291493,"corporation":false,"usgs":true,"family":"Wilgus","given":"Justin","email":"","middleInitial":"Thomas","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842459,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231636,"text":"70231636 - 2022 - Minimizing extinction risk in the face of uncertainty: Developing conservation strategies for 2 rapidly declining forest bird species on Kaua‘i Island","interactions":[],"lastModifiedDate":"2022-05-17T11:59:53.495361","indexId":"70231636","displayToPublicDate":"2022-05-08T06:55:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Minimizing extinction risk in the face of uncertainty: Developing conservation strategies for 2 rapidly declining forest bird species on Kaua‘i Island","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Many species around the world are declining precipitously as a result of multiple threats and changing climate. Managers tasked with protecting species often face difficult decisions in regard to identifying which threats should be addressed, given limited resources and uncertainty in the success of any identified management action. On Kaua‘i Island, Hawai‘i, USA, forest bird species have experienced accelerated declines over the last 20 years, and 2 species, the ‘akikiki (<i>Oreomystis bairdi</i>) and ‘akeke‘e (<i>Loxops caeruleirostris</i>), are now at the brink of extinction. Both species face multiple threats, and managers face difficult decisions on whether to mitigate threats in the wild, establish a captive population as insurance against extinction, translocate birds to novel locations, or some combination of these actions. Each set of actions (alternatives) would require substantial resources with considerable uncertainty in success. In 2014, we brought together 14 experts representing biologists and managers familiar with the species and island to develop a conservation strategy under a structured decision making (SDM) framework, an approach for making complex decisions under uncertainty. The group's challenge was to identify a set of alternatives that reduces the risk of extinction, set the foundation for one or more genetically viable, reproducing, stable to increasing populations in 10 years, and promote conditions for long-term persistence in the wild. Multiple alternatives were evaluated, via expert judgement, in terms of the probability they would achieve the objectives concerning immediate extinction risk, near-term viability, and adequacy of habitat. Factors that might impede the success of each action were also evaluated. The process identified the establishment of a captive population and efforts to stabilize the existing wild population as the approach most likely to meet the objectives of preventing imminent extinction and ensuring long-term viability.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1254","usgsCitation":"Paxton, E.H., Crampton, L.H., Vetter, J., Laut, M., Berry, L., and Morey, S., 2022, Minimizing extinction risk in the face of uncertainty: Developing conservation strategies for 2 rapidly declining forest bird species on Kaua‘i Island: Wildlife Society Bulletin, v. 46, no. 1, e1254, 16 p., https://doi.org/10.1002/wsb.1254.","productDescription":"e1254, 16 p.","ipdsId":"IP-124463","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":400686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua‘i","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.87716674804688,\n              21.773528900621983\n            ],\n            [\n              -159.22348022460935,\n              21.773528900621983\n            ],\n            [\n              -159.22348022460935,\n              22.301802654450015\n            ],\n            [\n              -159.87716674804688,\n              22.301802654450015\n            ],\n            [\n              -159.87716674804688,\n              21.773528900621983\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":843176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crampton, Lisa H.","contributorId":192559,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":843177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vetter, John","contributorId":291840,"corporation":false,"usgs":false,"family":"Vetter","given":"John","affiliations":[{"id":55513,"text":"USFWS - Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":843178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laut, Megan","contributorId":140110,"corporation":false,"usgs":false,"family":"Laut","given":"Megan","email":"","affiliations":[{"id":13385,"text":"University of Hawaii at Hilo Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":843179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":843180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morey, Steve","contributorId":147048,"corporation":false,"usgs":false,"family":"Morey","given":"Steve","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":843181,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231478,"text":"70231478 - 2022 - Exposure to crop production alters cecal prokaryotic microbiota, inflates virulome and resistome in wild prairie grouse","interactions":[],"lastModifiedDate":"2022-05-11T11:47:46.072712","indexId":"70231478","displayToPublicDate":"2022-05-08T06:44:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Exposure to crop production alters cecal prokaryotic microbiota, inflates virulome and resistome in wild prairie grouse","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Chemically intensive crop production depletes wildlife food resources, hinders animal development, health, survival, and reproduction, and it suppresses wildlife immune systems, facilitating emergence of infectious diseases with excessive mortality rates. Gut microbiota is crucial for wildlife's response to environmental stressors. Its composition and functionality are sensitive to diet changes and environmental pollution associated with modern crop production. In this study we use shotgun metagenomics (median 8,326,092 sequences/sample) to demonstrate that exposure to modern crop production detrimentally affects cecal microbiota of sharp-tailed grouse (<i>Tympanuchus phasianellus</i>: 9 exposed, 18 unexposed and greater prairie chickens (<i>T. cupido</i>; 11, 11). Exposure to crop production had greater effect on microbiota richness (<i>t</i>&nbsp;=&nbsp;6.675,<span>&nbsp;</span><i>P</i>&nbsp;&lt;&nbsp;0.001) and composition (PERMANOVA<span>&nbsp;</span><i>r</i><sup><i>2</i></sup>&nbsp;=&nbsp;0.212,<span>&nbsp;</span><i>P</i>&nbsp;=&nbsp;0.001) than did the host species (<i>t</i>&nbsp;=&nbsp;4.762,<span>&nbsp;</span><i>P</i>&nbsp;&lt;&nbsp;0.001;<span>&nbsp;</span><i>r</i><sup><i>2</i></sup>&nbsp;=&nbsp;0.070,<span>&nbsp;</span><i>P</i>&nbsp;=&nbsp;0.001) or their interaction (<i>t</i>&nbsp;=&nbsp;3.449;<span>&nbsp;</span><i>r</i><sup><i>2</i></sup>&nbsp;=&nbsp;0.072, both<span>&nbsp;</span><i>P</i>&nbsp;=&nbsp;0.001), whereas sex and age had no effect. Although microbiota richness was greater in exposed (<i>T. cupido</i><span>&nbsp;</span>chao1&nbsp;=&nbsp;152.8&nbsp;±&nbsp;20.5;<span>&nbsp;</span><i>T. phasianellus</i><span>&nbsp;</span>115.3&nbsp;±&nbsp;17.1) than in unexposed (102.9&nbsp;±&nbsp;15.1 and 101.1&nbsp;±&nbsp;17.2, respectively) birds, some beneficial bacteria dropped out of exposed birds' microbiota or declined and were replaced by potential pathogens. Exposed birds also had higher richness and load of virulome (mean&nbsp;±&nbsp;standard deviation;<span>&nbsp;</span><i>T. cupido</i><span>&nbsp;</span>24.8&nbsp;±&nbsp;10.0 and 10.1&nbsp;±&nbsp;5.5, respectively;<span>&nbsp;</span><i>T. phasianellus</i><span>&nbsp;</span>13.4&nbsp;±&nbsp;6.8/4.9&nbsp;±&nbsp;2.8) and resistome (<i>T. cupido</i><span>&nbsp;</span>46.8&nbsp;±&nbsp;11.7/28.9&nbsp;±&nbsp;10.2,<span>&nbsp;</span><i>T. phasianellus</i><span>&nbsp;</span>38.3&nbsp;±&nbsp;16.7/18.9&nbsp;±&nbsp;14.2) than unexposed birds (<i>T. cupido</i><span>&nbsp;</span>virulome: 14.2&nbsp;±&nbsp;13.5, 4.5&nbsp;±&nbsp;4.2;<span>&nbsp;</span><i>T. cupido</i><span>&nbsp;</span>resistome: 31.6&nbsp;±&nbsp;20.2 and 13.1&nbsp;±&nbsp;12.0;<span>&nbsp;</span><i>T. phasianellus</i><span>&nbsp;</span>virulome: 5.2&nbsp;±&nbsp;4.7 and 1.4&nbsp;±&nbsp;1.5;<span>&nbsp;</span><i>T. phasianellus</i><span>&nbsp;</span>resistome: 13.7&nbsp;±&nbsp;16.1 and 4.0&nbsp;±&nbsp;6.4).</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2022.119418","usgsCitation":"Drovetski, S.V., Schmidt, B.K., Lai, J.E., Gross, M.S., Hladik, M.L., Matterson, K.O., and Karouna-Renier, N., 2022, Exposure to crop production alters cecal prokaryotic microbiota, inflates virulome and resistome in wild prairie grouse: Environmental Pollution, v. 306, 119418, 10 p., https://doi.org/10.1016/j.envpol.2022.119418.","productDescription":"119418, 10 p.","ipdsId":"IP-136055","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":447871,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2022.119418","text":"Publisher Index Page"},{"id":400496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.82080078125,\n              43.02071359427862\n            ],\n            [\n              -103.71093749999999,\n              41.062786068733026\n            ],\n            [\n              -102.041015625,\n              40.9964840143779\n            ],\n            [\n              -102.041015625,\n              40.01078714046552\n            ],\n            [\n              -98.67919921875,\n              40.01078714046552\n            ],\n            [\n              -98.85498046875,\n              43.03677585761058\n            ],\n            [\n              -103.82080078125,\n              43.02071359427862\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"306","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":842741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Brian K. 0000-0003-3796-3110","orcid":"https://orcid.org/0000-0003-3796-3110","contributorId":291624,"corporation":false,"usgs":false,"family":"Schmidt","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":48006,"text":"National Museum of Natural History, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":842742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lai, Jonas Ethan 0000-0001-5000-338X","orcid":"https://orcid.org/0000-0001-5000-338X","contributorId":291625,"corporation":false,"usgs":true,"family":"Lai","given":"Jonas","email":"","middleInitial":"Ethan","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":842743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gross, Michael S. 0000-0002-2433-166X","orcid":"https://orcid.org/0000-0002-2433-166X","contributorId":213604,"corporation":false,"usgs":true,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":205314,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matterson, Kenan Oguz 0000-0003-2989-3685","orcid":"https://orcid.org/0000-0003-2989-3685","contributorId":291628,"corporation":false,"usgs":true,"family":"Matterson","given":"Kenan","email":"","middleInitial":"Oguz","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":842746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":842747,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256666,"text":"70256666 - 2022 - Air, land, and water variables associated with the first appearance and current spatial distribution of toxic Prymnesium parvum blooms in reservoirs of the Southern Great Plains, USA","interactions":[],"lastModifiedDate":"2024-08-30T10:59:23.068021","indexId":"70256666","displayToPublicDate":"2022-05-07T11:36:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Air, land, and water variables associated with the first appearance and current spatial distribution of toxic <i>Prymnesium parvum</i> blooms in reservoirs of the Southern Great Plains, USA","title":"Air, land, and water variables associated with the first appearance and current spatial distribution of toxic Prymnesium parvum blooms in reservoirs of the Southern Great Plains, USA","docAbstract":"<p><span>This study examined the association of air, land, and water variables with the first historical occurrence and current distribution of toxic&nbsp;</span><span><i>Prymnesium parvum</i></span><span>&nbsp;blooms in reservoirs of the Brazos River and Colorado River, Texas (USA). One impacted and one reference reservoir were selected per basin.&nbsp;Land cover&nbsp;and use variables were estimated for the whole watershed (WW) and a 0.5-km zone on either side of streams (near field, NF). Variables were expressed in annual values. Principal component and trend analyses were used to determine (1) differences in environmental conditions before and after the 2001 onset of toxic blooms in impacted reservoirs (study period, 1992–2017), and (2) traits that uniquely discriminate impacted from reference reservoirs (2001–2017). Of thirty-three variables examined, two positively aligned with the reoccurring appearance of blooms in impacted reservoirs (air CO</span><sub>2</sub><span>&nbsp;and herbicide Glyphosate) and another two negatively aligned (insecticides&nbsp;Terbufos&nbsp;and Malathion).&nbsp;Glyphosate&nbsp;use was observed throughout the study period but a turning point for an upward trend occurred near the year of first bloom occurrence. While the relevance of the decreased use of insecticides is uncertain, prior experimental studies reported that increasing concentrations of air CO</span><sub>2</sub><span>&nbsp;and water&nbsp;Glyphosate&nbsp;can enhance&nbsp;</span><i>P. parvum</i><span>&nbsp;growth. Consistent with prior findings, impacted reservoirs were of higher&nbsp;salinity&nbsp;than reference reservoirs. In addition, their watersheds had far lower wetland cover at NF and WW scales. The value of wetlands in reducing&nbsp;harmful algal bloom&nbsp;incidence by reducing nutrient inputs has been previously recognized, but wetlands can also capture pesticides. Therefore, a diminished wetland cover could magnify Glyphosate loads flowing into impacted reservoirs. These observations are consistent with a scenario where rising levels of air CO</span><sub>2</sub><span>&nbsp;and Glyphosate use contributed to the establishment of&nbsp;</span><i>P. parvum</i><span>&nbsp;blooms in reservoirs of relatively high salinity and minimal wetland cover over their watersheds.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.155567","usgsCitation":"Tabora-Sarmientoa, S., Patino, R., Portillo-Quintero, C., and Coldren, C., 2022, Air, land, and water variables associated with the first appearance and current spatial distribution of toxic Prymnesium parvum blooms in reservoirs of the Southern Great Plains, USA: Science of the Total Environment, v. 836, 155567, 11 p., https://doi.org/10.1016/j.scitotenv.2022.155567.","productDescription":"155567, 11 p.","ipdsId":"IP-135673","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433321,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Southern Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.79055428065931,\n              33.96150939341686\n            ],\n            [\n              -102.79055428065931,\n              30.40651030229435\n            ],\n            [\n              -95.3521242635305,\n              30.40651030229435\n            ],\n            [\n              -95.3521242635305,\n              33.96150939341686\n            ],\n            [\n              -102.79055428065931,\n              33.96150939341686\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"836","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tabora-Sarmientoa, Shisbeth","contributorId":341529,"corporation":false,"usgs":false,"family":"Tabora-Sarmientoa","given":"Shisbeth","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portillo-Quintero, Carlos","contributorId":341530,"corporation":false,"usgs":false,"family":"Portillo-Quintero","given":"Carlos","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coldren, Cade","contributorId":341531,"corporation":false,"usgs":false,"family":"Coldren","given":"Cade","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237696,"text":"70237696 - 2022 - The effect of diagenesis and acetolysis on the preservation of morphology and ultrastructural features of pollen","interactions":[],"lastModifiedDate":"2022-10-19T12:09:20.689887","indexId":"70237696","displayToPublicDate":"2022-05-07T07:03:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3275,"text":"Review of Palaeobotany and Palynology","active":true,"publicationSubtype":{"id":10}},"title":"The effect of diagenesis and acetolysis on the preservation of morphology and ultrastructural features of pollen","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0185\"><span>Pollen morphology on its own and in conjunction with other characteristics has elucidated the origin and evolution of various plant groups. Previous studies of fossil pollen rarely discuss the effects of&nbsp;diagenesis&nbsp;and sample preparation on pollen characteristics, i.e., variability in staining, pollen morphology, and pollen wall ultrastructural characteristics. This paper examines the effect of acetolysis on reflectance and spectral epi-fluorescence measurements. Based on empirical studies, different species under similar experimental conditions display different reflectance values, indicating individual species respond differently to similar post-depositional thermal events. The quantitative pollen fluorescence spectra showed significant variability, but there is an overall increase in the mean wavelength of maximum emission with acetolysis. Increases in these spectral parameters are used to infer thermal maturation and diagenetic pathways in fossil pollen. The paper also discusses observations made on fossil pollen of a known&nbsp;thermal maturity&nbsp;using Pearson's Pollen/Spore Color Standard. Assessment of pollen thermal maturity using this color standard can be an indicator of the quality of morphological and ultrastructural information that can be extracted from fossil pollen. Increasing thermal maturity of pollen may have an effect on staining variability. Based on observations, staining for brightfield or&nbsp;electron microscopy&nbsp;in fossil pollen, although useful for improving contrast in the specimen, must be used with caution when interpreting pollen wall structure. Although single fossil pollen investigations are useful, replication of these studies on similar or the same specimens from the same locality or various localities will collectively provide more information for elucidation of the morphology and&nbsp;</span>ultrastructure<span>&nbsp;</span>of the once living pollen, and is helpful in sorting out characteristics that may be artifacts from post-depositional diagenesis.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.revpalbo.2022.104679","usgsCitation":"Zavada, M., and Hackley, P.C., 2022, The effect of diagenesis and acetolysis on the preservation of morphology and ultrastructural features of pollen: Review of Palaeobotany and Palynology, v. 302, 104679, 13 p., https://doi.org/10.1016/j.revpalbo.2022.104679.","productDescription":"104679, 13 p.","ipdsId":"IP-134937","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":408531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"302","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zavada, Michael","contributorId":298073,"corporation":false,"usgs":false,"family":"Zavada","given":"Michael","affiliations":[{"id":64489,"text":"Univ. TX Permian Basin","active":true,"usgs":false}],"preferred":false,"id":855044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":855045,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231448,"text":"70231448 - 2022 - Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration","interactions":[],"lastModifiedDate":"2022-11-16T16:23:43.278815","indexId":"70231448","displayToPublicDate":"2022-05-07T06:50:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration","docAbstract":"<p><span>A state-space model (SSM) of infiltration estimates daily groundwater recharge using time-series of groundwater-level altitude and meteorological inputs (liquid precipitation, snowmelt, and evapotranspiration). The model includes diffuse and preferential flow through the unsaturated zone, where preferential flow is a function of liquid precipitation and snowmelt rates and a threshold rate, above which there is direct recharge to the water table. Model parameters are estimated over seasonal periods and the SSM is coupled with the Kalman Filter (KF) to assimilate recent observations (hydraulic head) and meteorological inputs into recharge estimates. The approach can take advantage of real-time hydrologic and meteorological data to deliver real-time recharge estimates. The model is demonstrated on daily observations from two bedrock wells in carbonate aquifers of northwestern New York (USA) between 2013 and 2018. Meteorological inputs for liquid precipitation and snowmelt are compiled from SNODAS (2021). Results for recharge during winter and spring seasons show preferential flow events to the water table from liquid precipitation, snowmelt, or a combination of the two. Recharge estimates summed annually are consistent with previous estimates of recharge reported from groundwater flow and surface-process models. Results from the SSM and KF point to errors in meteorological inputs, such as the snowmelt rate, that are not compatible with hydraulic head observations. Whereas liquid and solid precipitation are measured at discrete stations and extrapolated to 1-km</span><sup>2</sup><span>&nbsp;grid cells, snowmelt is a meteorological modeled outcome that may not represent conditions in the vicinity of monitoring well locations.</span></p>","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13206","usgsCitation":"Shapiro, A.M., Day-Lewis, F., Kappel, W.M., and Williams, J., 2022, Incorporating snowmelt into daily estimates of recharge using a state-space model of infiltration: Groundwater, v. 60, no. 6, p. 721-746, https://doi.org/10.1111/gwat.13206.","productDescription":"26 p.","startPage":"721","endPage":"746","ipdsId":"IP-130903","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":447877,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13206","text":"Publisher Index Page"},{"id":435854,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MRGR88","text":"USGS data release","linkHelpText":"Algorithms for model parameter estimation and state estimation applied to a state-space model for one-dimensional vertical infiltration incorporating  snowmelt rate as a system input"},{"id":400497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":842636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":842637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842639,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231264,"text":"dr1156 - 2022 - U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts","interactions":[],"lastModifiedDate":"2026-03-18T19:28:05.893773","indexId":"dr1156","displayToPublicDate":"2022-05-06T11:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1156","displayTitle":"U.S. Geological Survey National Shoreline Change— Summary Statistics for Updated Vector Shorelines (1800s–2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts","title":"U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts","docAbstract":"<p>Rates of shoreline change have been updated for the open-ocean sandy coastlines of Georgia and Florida as part of the U.S. Geological Survey’s Coastal Change Hazards programmatic focus. This work was formerly within the National Assessment of Shoreline Change project. Shorelines were compiled from the original report published in 2005, recent update reports, and additional light detection and ranging (lidar) shorelines which were extracted from lidar data collected prior to and following Hurricane Irma, which made landfall in September 2017. These shorelines were used to compute long- and short-term rates that incorporate the proxy-datum bias on a transect-by-transect basis. The proxy-datum bias accounts for the unidirectional onshore bias of proxy-based high water line shorelines relative to datum-based mean high water shorelines. In this study, the coast of Georgia exhibited the highest average rates of erosion and accretion in both the long term (approximately 150 years) and the short term (approximately 30 years). Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1156","usgsCitation":"Kratzmann, M.G., 2022, U.S. Geological Survey national shoreline change— Summary statistics for updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida coasts: U.S. Geological Survey Data Report 1156, 8 p., https://doi.org/10.3133/dr1156.","productDescription":"Report: vi, 8 p.; Data Release","numberOfPages":"8","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-132897","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400139,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1156/dr1156.XML"},{"id":400294,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/dr1156/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1156"},{"id":400136,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J3CVN4","text":"USGS data release","linkHelpText":"USGS national shoreline change—A GIS compilation of updated vector shorelines (1800s–2010s) and associated shoreline change data for the Georgia and Florida Coasts"},{"id":400134,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1156/coverthb.jpg"},{"id":400135,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1156/dr1156.pdf","text":"Report","size":"1.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1156"},{"id":400138,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1156/images/"},{"id":501269,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112990.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida, Georgia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.71484375,\n              24.287026865376436\n            ],\n            [\n              -78.486328125,\n              24.287026865376436\n            ],\n            [\n              -78.486328125,\n              32.69486597787505\n            ],\n            [\n              -87.71484375,\n              32.69486597787505\n            ],\n            [\n              -87.71484375,\n              24.287026865376436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:WHSC_science_director@usgs.gov\" data-mce-href=\"mailto:WHSC_science_director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/whcmsc\" data-mce-href=\"https://www.usgs.gov/centers/whcmsc\">Woods Hole Coastal and Marine Science Center</a><br>U.S. Geological Survey<br>384 Woods Hole Road<br>Quissett Campus<br>Woods Hole, MA 02543–1598</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Results from Historical Shoreline Change Analysis</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2022-05-06","noUsgsAuthors":false,"publicationDate":"2022-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kratzmann, Meredith G. 0000-0002-2513-2144 mkratzmann@usgs.gov","orcid":"https://orcid.org/0000-0002-2513-2144","contributorId":4950,"corporation":false,"usgs":true,"family":"Kratzmann","given":"Meredith","email":"mkratzmann@usgs.gov","middleInitial":"G.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842158,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70255103,"text":"70255103 - 2022 - The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts","interactions":[],"lastModifiedDate":"2024-06-17T15:10:24.743676","indexId":"70255103","displayToPublicDate":"2022-05-06T09:57:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts","docAbstract":"<p><span>Methods are being developed to capitalize on citizen science data for research and monitoring, but these data are rarely used within established decision-making frameworks of wildlife agencies. Citizen science data are often collected at higher resolution and extent than targeted monitoring programs, and may provide complementary information. Here, we demonstrate that carefully filtered semi-structured citizen science observations, when paired with targeted survey data, can produce ecological predictions at higher resolution and extent than targeted surveys alone, and both datasets can represent complementary aspects of species' ecology. We present case studies demonstrating how citizen science data can enhance or supplement decision-making of government and conservation organizations. First, we show how the continuous spatial coverage of citizen science projects, when coupled with targeted surveys, can improve estimates of metrics used by the U.S. Fish and Wildlife Service in regulatory processes to estimate population size, and inform take limits of federally managed species nationwide. Second, we show that the spatial coverage of citizen science accommodates dynamic avian space use patterns during key times of the year, relative to standardized monitoring protocols carried out by the Illinois Natural History Survey. Lastly, we demonstrate that citizen science information can replicate estimates of migratory chronologies for the Illinois Natural History Survey and the U.S. Fish and Wildlife Service for some waterfowl species, and in some contexts can supplement missing data on abundance. These findings illustrate the value of integrating validated information from semi-structured citizen science into the current evidence base used to justify, inform, and evaluate conservation decision-making.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2022.109556","usgsCitation":"Stuber, E.F., Robinson, O., Bjerre, E.R., Otto, M.C., Millsap, B., Zimmerman, G., Brasher, M., Ringelman, K., Fournier, A., Yetter, A., Isola, J., and Ruiz-Gutierrez, V., 2022, The potential of semi-structured citizen science data as a supplement for conservation decision-making: Validating the performance of eBird against targeted avian monitoring efforts: Biological Conservation, v. 270, 109556, 11 p., https://doi.org/10.1016/j.biocon.2022.109556.","productDescription":"109556, 11 p.","ipdsId":"IP-134088","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488728,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2022.109556","text":"Publisher Index Page"},{"id":430277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Illinois, Iowa, Missouri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.49828581034168,\n              39.76455400687408\n            ],\n            [\n              -122.49828581034168,\n              38.81660641718298\n            ],\n            [\n              -121.0222303704384,\n              38.81660641718298\n            ],\n            [\n              -121.0222303704384,\n              39.76455400687408\n            ],\n            [\n              -122.49828581034168,\n              39.76455400687408\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.90160005903965,\n              41.45769825249826\n            ],\n            [\n              -92.50893391243744,\n              41.45769825249826\n            ],\n            [\n              -92.50893391243744,\n              38.85655448556952\n            ],\n            [\n              -88.90160005903965,\n              38.85655448556952\n            ],\n            [\n              -88.90160005903965,\n              41.45769825249826\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"270","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":903404,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Orin","contributorId":338622,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":903405,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerre, Emily R.","contributorId":338623,"corporation":false,"usgs":false,"family":"Bjerre","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903406,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Otto, Mark C.","contributorId":338624,"corporation":false,"usgs":false,"family":"Otto","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903407,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Millsap, Brian A.","contributorId":338625,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903408,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Guthrie S.","contributorId":338626,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903409,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brasher, Michael G.","contributorId":338627,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael G.","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":903410,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ringelman, Kevin M.","contributorId":338628,"corporation":false,"usgs":false,"family":"Ringelman","given":"Kevin M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":903411,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fournier, Auriel","contributorId":338631,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","email":"","affiliations":[{"id":81181,"text":"University of Illinois at Urbana-Champaign, Havana","active":true,"usgs":false}],"preferred":false,"id":903412,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yetter, Aaron","contributorId":338634,"corporation":false,"usgs":false,"family":"Yetter","given":"Aaron","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":903413,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Isola, Jennifer","contributorId":242027,"corporation":false,"usgs":false,"family":"Isola","given":"Jennifer","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":904306,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruiz-Gutierrez, Viviana","contributorId":261212,"corporation":false,"usgs":false,"family":"Ruiz-Gutierrez","given":"Viviana","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":904307,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70254768,"text":"70254768 - 2022 - Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species","interactions":[],"lastModifiedDate":"2024-06-07T14:46:22.029683","indexId":"70254768","displayToPublicDate":"2022-05-06T09:38:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species","docAbstract":"<p><span>Imperiled species&nbsp;face&nbsp;numerous and diverse anthropogenic threats to their persistence, and wildlife managers charged with making conservation decisions benefit from a sound understanding of how populations, species, and ecosystems will respond to future changes in threats to biodiversity. In southeastern North America, the gopher tortoise (</span><i>Gopherus polyphemus</i><span>) is a&nbsp;keystone species&nbsp;in upland ecosystems; however, tortoise populations have declined strongly over the last century, and the species is a candidate for increased protection by the United States federal government under the&nbsp;Endangered Species&nbsp;Act (ESA). Here, we sought to support conservation&nbsp;decision making&nbsp;for&nbsp;</span><i>G. polyphemus</i><span>&nbsp;by developing a spatially-explicit predictive population model that linked four anthropogenic threats (climate warming, sea-level rise, urbanization, habitat degradation) to demographic vital rates and used the model to estimate future changes in the number of individuals, populations, and&nbsp;metapopulations&nbsp;across the species’ range. Using recent survey data, we projected 457 populations for 80 years into the future under scenarios varying in threat magnitude, management magnitude, and demographic uncertainty. Population projections predicted that the number of individuals, populations, and metapopulations would decline among all simulated scenarios in the next 80 years. Model predictions were more sensitive to variation in adult survival and immigration rates than to variation in threat magnitude. A scenario with decreased habitat management and threat effects from climate warming, sea-level rise, and urbanization predicted&nbsp;geographic variation&nbsp;in persistence probabilities for populations that might result in decreased genetic representation across the species' range. Our results can be used to support conservation listing decisions for the gopher tortoise as part of its federal Species Status Assessment and provide an analytical framework for how to link diverse threats to geographically-varying demographic rates during population viability analyses for wide-ranging imperiled species around the world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02143","usgsCitation":"Folt, B., Marshall, M., Emanuel, J.A., Dziadzio, M., Cooke, J., Mena, L., Hinderliter, M., Hoffmann, S., Rankin, N., Tupy, J., and McGowan, C., 2022, Using predictions from multiple anthropogenic threats to estimate future population persistence of an imperiled species: Global Ecology and Conservation, v. 36, e02143, 21 p., https://doi.org/10.1016/j.gecco.2022.e02143.","productDescription":"e02143, 21 p.","ipdsId":"IP-133548","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447881,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02143","text":"Publisher Index Page"},{"id":429647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Folt, Brian","contributorId":267702,"corporation":false,"usgs":false,"family":"Folt","given":"Brian","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":902450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marshall, Michael","contributorId":337474,"corporation":false,"usgs":false,"family":"Marshall","given":"Michael","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":902451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Emanuel, Jo Anna","contributorId":337478,"corporation":false,"usgs":false,"family":"Emanuel","given":"Jo","email":"","middleInitial":"Anna","affiliations":[{"id":81021,"text":"Florida Ecological Services","active":true,"usgs":false}],"preferred":false,"id":902452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dziadzio, Michelina","contributorId":337480,"corporation":false,"usgs":false,"family":"Dziadzio","given":"Michelina","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":902453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Jane","contributorId":337481,"corporation":false,"usgs":false,"family":"Cooke","given":"Jane","email":"","affiliations":[{"id":81021,"text":"Florida Ecological Services","active":true,"usgs":false}],"preferred":false,"id":902454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mena, Lourdes","contributorId":105576,"corporation":false,"usgs":true,"family":"Mena","given":"Lourdes","email":"","affiliations":[],"preferred":false,"id":902455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hinderliter, Matthew","contributorId":337483,"corporation":false,"usgs":false,"family":"Hinderliter","given":"Matthew","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoffmann, Scott","contributorId":337616,"corporation":false,"usgs":false,"family":"Hoffmann","given":"Scott","email":"","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":902457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rankin, Nicole","contributorId":337485,"corporation":false,"usgs":false,"family":"Rankin","given":"Nicole","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902458,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tupy, John","contributorId":337486,"corporation":false,"usgs":false,"family":"Tupy","given":"John","affiliations":[{"id":81024,"text":"Mississippi Ecological Services Office","active":true,"usgs":false}],"preferred":false,"id":902459,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":902460,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70231315,"text":"70231315 - 2022 - Compression behavior of hydrate-bearing sediments","interactions":[],"lastModifiedDate":"2022-05-06T14:27:50.929128","indexId":"70231315","displayToPublicDate":"2022-05-06T09:22:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Compression behavior of hydrate-bearing sediments","docAbstract":"<p class=\"abstractnoin\">This work experimentally explores porosity, compressibility, and the ratio of horizontal to vertical effective stress (<i>K</i><sub>0</sub>) in hydrate-bearing sandy silts from Green Canyon Block 955 in the deep-water Gulf of Mexico. The samples have an in situ porosity of 0.38 to 0.40 and a hydrate saturation of more than 80%. The hydrate-bearing sediments are stiffer than the equivalent hydrate-free sediments; the<span>&nbsp;</span><i>K</i><sub>0</sub><span>&nbsp;</span>stress ratio is greater for hydrate-bearing sediments relative to the equivalent hydrate-free sediments. The porosity decreases by 0.01 to 0.02 when the hydrate is dissociated at the in situ effective stress. We interpret that the hydrate in the sediment pores is a viscoelastic material that behaves like a fluid over experimental time scales, yet it cannot escape the sediment skeleton. During compression, the hydrate bears a significant fraction of the applied vertical load and transfers this load laterally, resulting in the apparent increased stiffness and a larger apparent<span>&nbsp;</span><i>K</i><sub>0</sub><span>&nbsp;</span>stress ratio. When dissociation occurs, the load carried by the hydrate is transferred to the sediment skeleton, resulting in further compaction and a decrease in the lateral stress. The viewpoint that the hydrate is a trapped viscous phase provides a mechanism for how stiffness and stress ratio (<i>K</i><sub>0</sub>) are greater when hydrate is present in the porous media. This study provides insight into the initial stress state of hydrate-bearing reservoirs and the geomechanical evolution of these reservoirs during production.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01132221002","usgsCitation":"Fang, Y., Flemings, P., Germaine, J., Daigle, H., Phillips, S.C., and O’Connell, J., 2022, Compression behavior of hydrate-bearing sediments: AAPG Bulletin, v. 106, no. 5, p. 1101-1126, https://doi.org/10.1306/01132221002.","productDescription":"26 p.","startPage":"1101","endPage":"1126","ipdsId":"IP-125588","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Green Canyon Block 955, Green Knoll, Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.417236328125,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              26.82407078047018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Yi","contributorId":138799,"corporation":false,"usgs":false,"family":"Fang","given":"Yi","email":"","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":842295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flemings, Peter","contributorId":198205,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","affiliations":[{"id":13127,"text":"Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":842296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germaine, John","contributorId":291403,"corporation":false,"usgs":false,"family":"Germaine","given":"John","affiliations":[{"id":6936,"text":"Tufts University","active":true,"usgs":false}],"preferred":false,"id":842298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daigle, Hugh","contributorId":291400,"corporation":false,"usgs":false,"family":"Daigle","given":"Hugh","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":842297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Joshua","contributorId":239907,"corporation":false,"usgs":false,"family":"O’Connell","given":"Joshua","email":"","affiliations":[{"id":48038,"text":"Institute for Geophysics and Department of Geological Sciences, Jackson School of Geosciences, University of Texas","active":true,"usgs":false}],"preferred":false,"id":842300,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70231312,"text":"70231312 - 2022 - Permeability of methane hydrate-bearing sandy silts in the deep-water Gulf of Mexico (Green Canyon Block 955)","interactions":[],"lastModifiedDate":"2022-05-06T14:20:14.06089","indexId":"70231312","displayToPublicDate":"2022-05-06T09:17:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Permeability of methane hydrate-bearing sandy silts in the deep-water Gulf of Mexico (Green Canyon Block 955)","docAbstract":"<p class=\"abstractnoin\">Permeability is one of the most crucial properties governing fluid flow in methane hydrate reservoirs. This paper presents a comprehensive permeability analysis of hydrate-bearing sandy silt pressure-cored from Green Canyon Block 955 (GC 955) in the deep-water Gulf of Mexico. We developed an experimental protocol to systematically characterize the transport and petrophysical properties in pressure cores. The in situ effective permeability ranges from 0.1 md (1.0 × 10<sup>−16</sup> m<sup>2</sup>) to 2.4 md (2.4 × 10<sup>−15</sup> m<sup>2</sup>) in these natural sandy silts cores with hydrate occupying 83%–93% of the pore space. When hydrate dissociates from these cores, the measured intrinsic permeability (<i>k<sub>0</sub></i>) is 0.3 md (3.0 × 10<sup>−16</sup> m<sup>2</sup>) to 9.3 md (9.3 × 10<sup>−15</sup> m<sup>2</sup>); these results are affected by fines migration during hydrate dissociation. We analyzed samples reconstituted from these sandy silts and found<span>&nbsp;</span><i>k<sub>0</sub></i><span>&nbsp;</span>to range from ∼12 md (∼1.2 × 10<sup>−14</sup> m<sup>2</sup>) to ∼41 md (∼4.1 × 10<sup>−14</sup> m<sup>2</sup>). The water relative permeabilities (<i>k<sub>rw</sub></i>) of GC 955 pressure cores are large relative to other natural pressure cores from offshore Japan, offshore India, and onshore Alaska. These<span>&nbsp;</span><i>k<sub>rw</sub></i><span>&nbsp;</span>values are also higher than predicted by current conceptual relative permeability models where hydrate fills the pores or coats the grains of the sediments. This fundamental conundrum requires further study. Our work provides essential parameters to reservoir simulation models seeking to predict hydrate formation in geological systems, evaluate the gas production potential, and explore the best way to produce this energy resource in sandy silt reservoirs.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/08102121001","usgsCitation":"Fang, Y., Flemings, P., Daigle, H., Phillips, S.C., and O’Connell, J., 2022, Permeability of methane hydrate-bearing sandy silts in the deep-water Gulf of Mexico (Green Canyon Block 955): AAPG Bulletin, v. 106, no. 5, p. 1071-1100, https://doi.org/10.1306/08102121001.","productDescription":"30 p.","startPage":"1071","endPage":"1100","ipdsId":"IP-125587","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":400282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Green Canyon Block 955, Green Knoll, Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.417236328125,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              26.82407078047018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fang, Yi","contributorId":138799,"corporation":false,"usgs":false,"family":"Fang","given":"Yi","email":"","affiliations":[{"id":6727,"text":"Pacific Northwest National Laboratory, Richland, WA","active":true,"usgs":false}],"preferred":false,"id":842290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flemings, Peter","contributorId":198205,"corporation":false,"usgs":false,"family":"Flemings","given":"Peter","affiliations":[{"id":13127,"text":"Jackson School of Geosciences, University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":842291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daigle, Hugh","contributorId":291400,"corporation":false,"usgs":false,"family":"Daigle","given":"Hugh","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":842292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Connell, Joshua","contributorId":239907,"corporation":false,"usgs":false,"family":"O’Connell","given":"Joshua","email":"","affiliations":[{"id":48038,"text":"Institute for Geophysics and Department of Geological Sciences, Jackson School of Geosciences, University of Texas","active":true,"usgs":false}],"preferred":false,"id":842294,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231324,"text":"70231324 - 2022 - Assessing conservation and management actions with ecosystem services better communicates conservation value to the public","interactions":[],"lastModifiedDate":"2022-05-06T14:14:23.881476","indexId":"70231324","displayToPublicDate":"2022-05-06T09:08:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing conservation and management actions with ecosystem services better communicates conservation value to the public","docAbstract":"Fish and wildlife populations are under unprecedented threats from changes in land use and climate. With increasing threats comes a need for an expanded constituency that can contribute to the public support and financial capital needed for habitat conservation and management. Using an ecosystem services approach can provide a framework for a more holistic accounting of conservation benefits. Our objective here is to provide a greater understanding of the role that taking an ecosystem services approach can have in expanding the public constituency that supports the use of financial capital required to conserve and manage the nation’s natural capital. To demonstrate a methodology and the usefulness of taking an ecosystem services approach when communicating the value of conserving and managing fish and wildlife habitats, we performed an evaluation of U.S. Fish and Wildlife Service-owned Waterfowl Production Areas, National Wildlife Refuges, and easement lands (both wetland and grassland) in Stutsman County, North Dakota. We quantified amphibian habitat, grassland bird habitat, floral resources for pollinators, and carbon storage services under various scenarios of conservation. While we did not include all possible ecosystem services in our model, our case study shows how this process can provide a more complete picture of the collateral benefits of conservation directed primarily toward waterfowl. Using this ecosystem services approach, we documented marked losses in all services modeled if current conservation lands were developed for the production of agricultural crops. By having access to a more complete picture of benefits provided by conservation lands, decision makers can better communicate their value. By garnering greater public support through a more accurate accounting of societal benefits, conservation and management of dwindling natural capital may someday attain the same level of thought and consideration that is put into the conservation and management of the nation’s financial capital.","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-083","usgsCitation":"Mushet, D., Post van der Burg, M., and Anteau, M.J., 2022, Assessing conservation and management actions with ecosystem services better communicates conservation value to the public: Journal of Fish and Wildlife Management, v. 13, no. 1, 13 p., https://doi.org/10.3996/JFWM-21-083.","productDescription":"13 p.","ipdsId":"IP-126556","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":447884,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-083","text":"Publisher Index Page"},{"id":400280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-99.2669,47.3268],[-98.8466,47.327],[-98.8392,47.327],[-98.8232,47.3272],[-98.8152,47.3271],[-98.4991,47.327],[-98.467,47.3266],[-98.4677,47.2402],[-98.4685,46.9788],[-98.4412,46.9789],[-98.4396,46.6296],[-98.7894,46.6294],[-99.0379,46.6309],[-99.1616,46.6317],[-99.4122,46.6316],[-99.4498,46.6319],[-99.4477,46.8044],[-99.4476,46.9788],[-99.4821,46.9795],[-99.4824,47.0089],[-99.4822,47.0162],[-99.4821,47.0249],[-99.4826,47.0396],[-99.4827,47.1558],[-99.4801,47.3267],[-99.2669,47.3268]]]},\"properties\":{\"name\":\"Stutsman\",\"state\":\"ND\"}}]}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":842305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Post van der Burg, Max 0000-0002-3943-4194 maxpostvanderburg@usgs.gov","orcid":"https://orcid.org/0000-0002-3943-4194","contributorId":4947,"corporation":false,"usgs":true,"family":"Post van der Burg","given":"Max","email":"maxpostvanderburg@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":842306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":842307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231309,"text":"70231309 - 2022 - Integrated geochemical approach to determine the source of methane in gas hydrate from Green Canyon Block 955 in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-05-06T14:07:26.017969","indexId":"70231309","displayToPublicDate":"2022-05-06T09:01:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geochemical approach to determine the source of methane in gas hydrate from Green Canyon Block 955 in the Gulf of Mexico","docAbstract":"<p class=\"abstractnoin\">Massive volumes of gas are sequestered within gas hydrate in subsurface marine sediments in the Gulf of Mexico. Methane associated with gas hydrate is a potentially important economic resource and a significant reservoir of carbon within the global carbon cycle. Nevertheless, uncertainties remain about the genetic source (e.g., microbial, thermogenic) and possible migration history of natural gas incorporated into hydrate. Previous studies have primarily used the hydrocarbon molecular (CH<sub>4</sub>/C<sub>2</sub>H<sub>6</sub>+) and isotopic (δ<sup>13</sup>C-CH<sub>4</sub>, δ<sup>2</sup>H-CH<sub>4</sub>) compositions of natural gas to address these uncertainties. However, hydrocarbon tracers are altered by mixing, oxidation, secondary methanogenesis, or fluid migration, which presents challenges when deciphering the mechanisms responsible for methane formation and accumulation. To evaluate the genetic source of natural gases from Green Canyon Block 955 (GC 955), east of the Sigsbee escarpment, we collected and analyzed samples from the first pressurized hydrate-bearing sediment cores collected from a coarse-grained hydrate reservoir in the Gulf of Mexico. Gas samples were analyzed for hydrocarbon gas (C<sub>1</sub>–C<sub>5</sub>), major gas (e.g., N<sub>2</sub>, CO<sub>2</sub>), and noble gas (He-Xe) abundance and isotopic (e.g., δ<sup>13</sup>C-CH<sub>4</sub>, δ<sup>2</sup>H-CH<sub>4</sub>, δ<sup>13</sup>C-CO<sub>2</sub>, δ<sup>15</sup>N-N<sub>2</sub>,<span>&nbsp;</span><sup>3</sup>He/<sup>4</sup>He,<span>&nbsp;</span><sup>4</sup>He/<sup>20</sup>Ne) compositions. We determined that natural gas in hydrates from this location are predominantly of primary microbial origin (conservatively at least 76%) and are formed by the hydrogenotrophic (CO<sub>2</sub><span>&nbsp;</span>reduction) methanogenesis pathway. We also note increased thermogenic proportions (∼6%) in a hydrate-bearing layer below the main hydrate-bearing interval (separated by a 5-m water-bearing layer). Our results suggest that microbial methane may be abundant below the base of gas hydrate stability at GC 955.</p>","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/05272120087","usgsCitation":"Moore, M.T., Phillips, S.C., Cook, A., and Darrah, T.H., 2022, Integrated geochemical approach to determine the source of methane in gas hydrate from Green Canyon Block 955 in the Gulf of Mexico: AAPG Bulletin, v. 106, no. 5, p. 949-980, https://doi.org/10.1306/05272120087.","productDescription":"32 p.","startPage":"949","endPage":"980","ipdsId":"IP-125029","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":400279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Green Canyon Block 955, Green Knoll, Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.417236328125,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              26.82407078047018\n            ],\n            [\n              -89.527587890625,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              28.497660832963472\n            ],\n            [\n              -91.417236328125,\n              26.82407078047018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Myles T. 0000-0002-4405-8349","orcid":"https://orcid.org/0000-0002-4405-8349","contributorId":291397,"corporation":false,"usgs":true,"family":"Moore","given":"Myles","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":842287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Ann","contributorId":242644,"corporation":false,"usgs":false,"family":"Cook","given":"Ann","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":842288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Darrah, Thomas H.","contributorId":145769,"corporation":false,"usgs":false,"family":"Darrah","given":"Thomas","email":"","middleInitial":"H.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":842289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231649,"text":"70231649 - 2022 - A forested wetland at a climate-induced tipping-point: 17-year demographic evidence of widespread tree recruitment failure","interactions":[],"lastModifiedDate":"2022-05-18T13:55:43.960202","indexId":"70231649","displayToPublicDate":"2022-05-06T08:46:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"A forested wetland at a climate-induced tipping-point: 17-year demographic evidence of widespread tree recruitment failure","docAbstract":"<p><span>Regeneration and survival of forested wetlands are affected by environmental variables related to the hydrologic regime. Climate change, specifically alterations to precipitation patterns, may have outsized effects on these forests. In Tennessee, USA, precipitation has increased by 15% since 1960. The goal of our research was to assess the evidence for whether this change in precipitation patterns resulted in shorter growing seasons and recruitment failure in common canopy trees for a forest wetland. In 2001 and 2018, the density of&nbsp;</span><i>Quercus lyrata</i><span>&nbsp;(overcup oak),&nbsp;</span><i>Liquidambar styraciflua</i><span>&nbsp;(sweetgum),&nbsp;</span><i>Quercus phellos</i><span>&nbsp;(willow oak), and&nbsp;</span><i>Betula nigra</i><span>&nbsp;(river birch) seedling, sapling and adult density were mapped in an area of 2.3&nbsp;ha within a seasonally flooded karst depression. Overall, the percentage of the growing season experiencing inundation was 26% greater in the deep than in shallow areas between 2001 and 2018. Saplings and small adults of all four species were restricted to shallow areas, and their abundance has declined substantially. Overcup oak and sweetgum individuals that were recruited into the adult life history stage were repelled from the deep zone. Overcup oak and sweetgum adults experienced lower mortality across the 2.3-ha study area (11% and 26%, respectively) relative to willow oak (56%) and river birch (64%) over the 17-year study. Growing-season inundation showed no relation to mortality in adult sweetgum and willow oak, a positive relation to mortality among adult river birch across size classes and among small adult overcup oak, and an inverse relation to mortality among large adult overcup oak. In shallow regions, overcup oak and sweetgum adults had greater basal area increment relative to the intermediate and deep regions of the pond. Results of hydrologic modeling for the study area, based on rainfall and temperature records covering 1855–2019, show ponding durations after 1970 considerably longer than the historical baseline, across ponding-depth classes. Our results strongly suggest that climate change is a driving factor suppressing tree regeneration since 1970 in this seasonally flooded karst depression.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2022.120247","usgsCitation":"Evans, J., McCarthy-Neumann, S., Pritchard, A., Cartwright, J.M., and Wolfe, W., 2022, A forested wetland at a climate-induced tipping-point: 17-year demographic evidence of widespread tree recruitment failure: Forest Ecology and Management, v. 517, 120247, 12 p., https://doi.org/10.1016/j.foreco.2022.120247.","productDescription":"120247, 12 p.","ipdsId":"IP-135244","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":447887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2022.120247","text":"Publisher Index Page"},{"id":400755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Arnold Engineering Development Complex, Sinking Pond","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.09521865844725,\n              35.38932985634939\n            ],\n            [\n              -86.04337692260742,\n              35.38932985634939\n            ],\n            [\n              -86.04337692260742,\n              35.42151066245934\n            ],\n            [\n              -86.09521865844725,\n              35.42151066245934\n            ],\n            [\n              -86.09521865844725,\n              35.38932985634939\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"517","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Jonathan","contributorId":291851,"corporation":false,"usgs":false,"family":"Evans","given":"Jonathan","affiliations":[{"id":62773,"text":"University of the South at Sewanee","active":true,"usgs":false}],"preferred":false,"id":843227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy-Neumann, Sarah","contributorId":291852,"corporation":false,"usgs":false,"family":"McCarthy-Neumann","given":"Sarah","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":843228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pritchard, Angus","contributorId":291853,"corporation":false,"usgs":false,"family":"Pritchard","given":"Angus","email":"","affiliations":[{"id":62773,"text":"University of the South at Sewanee","active":true,"usgs":false}],"preferred":false,"id":843229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cartwright, Jennifer M. 0000-0003-0851-8456 jmcart@usgs.gov","orcid":"https://orcid.org/0000-0003-0851-8456","contributorId":5386,"corporation":false,"usgs":true,"family":"Cartwright","given":"Jennifer","email":"jmcart@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolfe, William J. 0000-0002-3292-051X","orcid":"https://orcid.org/0000-0002-3292-051X","contributorId":224729,"corporation":false,"usgs":false,"family":"Wolfe","given":"William J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":843231,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231303,"text":"70231303 - 2022 - Toxicity of wildland fire-fighting chemicals in pulsed exposures to rainbow trout and fathead minnows","interactions":[],"lastModifiedDate":"2022-07-07T16:56:12.985464","indexId":"70231303","displayToPublicDate":"2022-05-06T08:43:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of wildland fire-fighting chemicals in pulsed exposures to rainbow trout and fathead minnows","docAbstract":"<p>Intrusions of fire-fighting chemicals in streams can result from containment and suppression of wildfires and may be harmful to native biota. We investigated the toxicity of seven current-use fire-fighting chemicals to juvenile rainbow trout (<i>Oncorhynchus mykiss</i>) and fathead minnows (<i>Pimephales promelas</i>) by simulating chemical intrusions under variable field conditions to provide insight on the potential damage these chemicals may cause in waterways. We manipulated water flow rate, water hardness, and concentration of the chemicals in three separate attenuated exposure assays where chemical concentrations decreased throughout the 96-hour exposure period. Concentration of retardant, temperature, duration of chemical exposure, and the number of exposures were manipulated in four pulsed assays where up to one-hour exposures were followed by an observation period in control water to determine delayed toxicity or recovery. Mortality of rainbow trout was higher across treatments at a warmer temperature and also increased with increasing concentration rate, increasing exposure duration, and with sequential exposures across assays. For fathead minnows, mortality increased with increasing concentration of fire retardant and longer exposure durations. Chemical exposure can exert additional stress during wildfire events that may impact stream fishes. Since the ratio of toxic unionized ammonia to ionized ammonia is greater with increasing temperature and pH, future studies could investigate the effects of water temperature and pH on native fishes under environmentally relevant concentrations of fire-fighting chemicals.</p>","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/etc.5347","usgsCitation":"Puglis, H.J., Iacchetta, M.G., and Mackey, C.M., 2022, Toxicity of wildland fire-fighting chemicals in pulsed exposures to rainbow trout and fathead minnows: Environmental Toxicology and Chemistry, v. 41, no. 7, p. 1711-1720, https://doi.org/10.1002/etc.5347.","productDescription":"10 p.","startPage":"1711","endPage":"1720","ipdsId":"IP-132944","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":447890,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5347","text":"Publisher Index Page"},{"id":435855,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TY8ZRG","text":"USGS data release","linkHelpText":"Biological and chemical data from attenuated and pulsed exposures of fire chemical to fish"},{"id":400277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":842275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":842276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mackey, Christina M. 0000-0003-1737-2698","orcid":"https://orcid.org/0000-0003-1737-2698","contributorId":243574,"corporation":false,"usgs":true,"family":"Mackey","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":842277,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70231347,"text":"70231347 - 2022 - Microtremor array method using spatial autocorrelation  analysis of Rayleigh‑wave data","interactions":[],"lastModifiedDate":"2022-05-06T13:42:57.669261","indexId":"70231347","displayToPublicDate":"2022-05-06T08:33:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2453,"text":"Journal of Seismology","active":true,"publicationSubtype":{"id":10}},"title":"Microtremor array method using spatial autocorrelation  analysis of Rayleigh‑wave data","docAbstract":"Microtremor array measurements (MAM) and passive surface wave methods in general, have been increasingly used to non-invasively estimate shear-wave velocity structures (Vs) for various purposes. The methods estimate dispersion curves and invert them for retrieving S-wave velocity profiles. This paper summarizes principles, limitations, data collection and processing methods. It intends to enable students and practitioners to understand the principles needed to plan a microtremor array investigation, record and process the data, and evaluate the quality of investigation result. The paper focuses on the spatial autocorrelation (SPAC) processing method among microtremor array processing methods because of its relatively simple calculation and stable applicability.","language":"English","publisher":"Springer","doi":"10.1007/s10950-021-10051-y","usgsCitation":"Hayashi, K., Asten, M.W., Stephenson, W.J., Cornou, C., Hobiger, M., Pilz, M., and Yamanaka, H., 2022, Microtremor array method using spatial autocorrelation  analysis of Rayleigh‑wave data: Journal of Seismology, 27 p., https://doi.org/10.1007/s10950-021-10051-y.","productDescription":"27 p.","ipdsId":"IP-131758","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":447892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10950-021-10051-y","text":"Publisher Index Page"},{"id":400275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hayashi, Koichi","contributorId":291435,"corporation":false,"usgs":false,"family":"Hayashi","given":"Koichi","affiliations":[{"id":62705,"text":"Geometrics/OYO Corporation, San Jose, CA","active":true,"usgs":false}],"preferred":false,"id":842349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asten, Michael W.","contributorId":184065,"corporation":false,"usgs":false,"family":"Asten","given":"Michael","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":842350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":842351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornou, Cecile","contributorId":175495,"corporation":false,"usgs":false,"family":"Cornou","given":"Cecile","email":"","affiliations":[{"id":27334,"text":"Universite Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":842352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobiger, Manuel","contributorId":291436,"corporation":false,"usgs":false,"family":"Hobiger","given":"Manuel","email":"","affiliations":[{"id":62706,"text":"Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland / Federal Institute for Geosciences and Natural Resources (BGR), Hanover, Germany","active":true,"usgs":false}],"preferred":false,"id":842353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilz, Marco","contributorId":264169,"corporation":false,"usgs":false,"family":"Pilz","given":"Marco","email":"","affiliations":[],"preferred":false,"id":842354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yamanaka, Hiroaki","contributorId":291437,"corporation":false,"usgs":false,"family":"Yamanaka","given":"Hiroaki","email":"","affiliations":[{"id":62709,"text":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","active":true,"usgs":false}],"preferred":false,"id":842355,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231342,"text":"70231342 - 2022 - Statewide quantitative microbial risk assessment for waterborne viruses, bacteria, and protozoa in public water supply wells in Minnesota","interactions":[],"lastModifiedDate":"2022-06-01T15:29:50.641732","indexId":"70231342","displayToPublicDate":"2022-05-06T08:22:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Statewide quantitative microbial risk assessment for waterborne viruses, bacteria, and protozoa in public water supply wells in Minnesota","docAbstract":"<p class=\"articleBody_abstractText\">Infection risk from waterborne pathogens can be estimated via quantitative microbial risk assessment (QMRA) and forms an important consideration in the management of public groundwater systems. However, few groundwater QMRAs use site-specific hazard identification and exposure assessment, so prevailing risks in these systems remain poorly defined. We estimated the infection risk for 9 waterborne pathogens based on a 2-year pathogen occurrence study in which 964 water samples were collected from 145 public wells throughout Minnesota, USA. Annual risk across all nine pathogens combined was 3.3 × 10<sup>–1</sup><span>&nbsp;</span>(95% CI: 2.3 × 10<sup>–1</sup><span>&nbsp;</span>to 4.2 × 10<sup>–1</sup>), 3.9 × 10<sup>–2</sup><span>&nbsp;</span>(2.3 × 10<sup>–2</sup><span>&nbsp;</span>to 5.4 × 10<sup>–2</sup>), and 1.2 × 10<sup>–1</sup><span>&nbsp;</span>(2.6 × 10<sup>–2</sup><span>&nbsp;</span>to 2.7 × 10<sup>–1</sup>) infections person<sup>–1</sup><span>&nbsp;</span>year<sup>–1</sup><span>&nbsp;</span>for noncommunity, nondisinfecting community, and disinfecting community wells, respectively. Risk estimates exceeded the U.S. benchmark of 10<sup>–4</sup><span>&nbsp;</span>infections person<sup>–1</sup><span>&nbsp;</span>year<sup>–1</sup><span>&nbsp;</span>in 59% of well-years, indicating that the risk was widespread. While the annual risk for all pathogens combined was relatively high, the average daily doses for individual pathogens were low, indicating that significant risk results from sporadic pathogen exposure.<span>&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;</span>dominated annual risk, so improved identification of wells susceptible to<span>&nbsp;</span><i>Cryptosporidium</i><span>&nbsp;</span>contamination may be important for risk mitigation.</p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.1c06472","usgsCitation":"Burch, T., Stokdyk, J.P., Rice, N., Anderson, A., Walsh, J.F., Spencer, S., Firnstahl, A.D., and Borchardt, M.A., 2022, Statewide quantitative microbial risk assessment for waterborne viruses, bacteria, and protozoa in public water supply wells in Minnesota: Environmental Science & Technology, v. 56, no. 10, p. 6315-6324, https://doi.org/10.1021/acs.est.1c06472.","productDescription":"10 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 \"}}]}","volume":"56","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":842329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Nancy","contributorId":291417,"corporation":false,"usgs":false,"family":"Rice","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":842331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Anita C.","contributorId":214336,"corporation":false,"usgs":false,"family":"Anderson","given":"Anita C.","affiliations":[],"preferred":false,"id":842332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, James F.","contributorId":214333,"corporation":false,"usgs":false,"family":"Walsh","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":842333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spencer, Sue","contributorId":291418,"corporation":false,"usgs":false,"family":"Spencer","given":"Sue","email":"","affiliations":[],"preferred":false,"id":842334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":842335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":842336,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70232355,"text":"70232355 - 2022 - Laboratory simulation of groundwater along uranium-mining-affected flow paths near the Grand Canyon, Arizona, USA","interactions":[],"lastModifiedDate":"2022-06-29T12:12:57.807473","indexId":"70232355","displayToPublicDate":"2022-05-06T07:09:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory simulation of groundwater along uranium-mining-affected flow paths near the Grand Canyon, Arizona, USA","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Mining of volumetrically small, but relatively enriched (average 0.6% U<sub>3</sub>O<sub>8</sub>) breccia pipe uranium (BPU) deposits near the Grand Canyon, Arizona, USA has the potential to affect groundwater and springs in the area. Such deposits also contain base metal sulfides that can oxidize to generate acid mine drainage and release trace metals. In this study, sequential batch experiments were conducted to simulate the geochemistry of local shallow groundwater that contacts BPU ore and then moves downgradient through sedimentary strata. The experiments simulated shallow groundwater in a carbonate aquifer followed by contact with BPU ore. The experiments subsequently simulated contact with sedimentary rocks and changing oxygen availability. Concentrations of several contaminants of potential concern became substantially elevated in the waters exposed to BPU ore, including As, Co, Ni, U, and Zn, and to a lesser extent, Mo. Of these, Co, Mo, Ni, and U were minimally attenuated by downgradient processes, whereas Zn was partially attenuated. Sb and Tl concentrations were more moderately elevated but also generally minimally attenuated. Although the mixture of elements is particular to these BPU ore deposits, sulfide oxidation in the ore and carbonate buffering of pH by sedimentary rocks generates patterns of water chemistry common in acid mine drainage settings. Ultimately, downgradient concentrations of elements sourced from BPU ore will also be strongly influenced by non-geochemical factors such as the quantities of water contacting BPU materials, heterogeneity of materials along flow paths, and mixing with waters that have not contacted BPU materials.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10230-022-00872-9","usgsCitation":"Bern, C.R., Campbell, K.M., Walton-Day, K., and Van Gosen, B.S., 2022, Laboratory simulation of groundwater along uranium-mining-affected flow paths near the Grand Canyon, Arizona, USA: Mine Water and the Environment, v. 41, p. 370-386, https://doi.org/10.1007/s10230-022-00872-9.","productDescription":"17 p.","startPage":"370","endPage":"386","ipdsId":"IP-125192","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":447894,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10230-022-00872-9","text":"Publisher Index Page"},{"id":402668,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.04907226562499,\n              35.69299463209881\n            ],\n            [\n              -111.324462890625,\n              35.69299463209881\n            ],\n            [\n              -111.324462890625,\n              36.98500309285596\n            ],\n            [\n              -114.04907226562499,\n              36.98500309285596\n            ],\n            [\n              -114.04907226562499,\n              35.69299463209881\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2022-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":845332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193 kwaltond@usgs.gov","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":184043,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","email":"kwaltond@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":845334,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70231463,"text":"70231463 - 2022 - Presence of the herbaceous marsh species Schoenoplectus americanus enhances surface elevation gain in transitional coastal wetland communities exposed to elevated CO2 and sediment deposition events","interactions":[],"lastModifiedDate":"2023-06-09T13:46:36.60341","indexId":"70231463","displayToPublicDate":"2022-05-06T07:00:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10760,"text":"Plants","active":true,"publicationSubtype":{"id":10}},"title":"Presence of the herbaceous marsh species Schoenoplectus americanus enhances surface elevation gain in transitional coastal wetland communities exposed to elevated CO2 and sediment deposition events","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Coastal wetlands are dynamic ecosystems that exist along a landscape continuum that can range from freshwater forested wetlands to tidal marsh to mudflat communities. Climate-driven stressors, such as sea-level rise, can cause shifts among these communities, resulting in changes to ecological functions and services. While a growing body of research has characterized the landscape-scale impacts of individual climate-driven stressors, little is known about how multiple stressors and their potential interactions will affect ecological functioning of these ecosystems. How will coastal wetlands respond to discrete climate disturbances, such as hurricane sediment deposition events, under future conditions of elevated atmospheric CO<sub>2</sub>? Will these responses vary among the different wetland communities? We conducted experimental greenhouse manipulations to simulate sediment deposition from a land-falling hurricane under future elevated atmospheric CO<sub>2</sub><span>&nbsp;</span>concentrations (720 ppm CO<sub>2</sub>). We measured responses of net primary production, decomposition, and elevation change in mesocosms representing four communities along a coastal wetland landscape gradient: freshwater forested wetland, forest/marsh mix, marsh, and mudflat. When<span>&nbsp;</span><span class=\"html-italic\">Schoenoplectus americanus</span><span>&nbsp;</span>was present, above- and belowground biomass production was highest, decomposition rates were lowest, and wetland elevation gain was greatest, regardless of CO<sub>2</sub><span>&nbsp;</span>and sediment deposition treatments. Sediment addition initially increased elevation capital in all communities, but post-deposition rates of elevation gain were lower than in mesocosms without added sediment. Together these results indicate that encroachment of oligohaline marshes into freshwater forested wetlands can enhance belowground biomass accumulation and resilience to sea-level rise, and these plant-mediated ecosystem services will be augmented by periodic sediment pulses from storms and restoration efforts.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/plants11091259","usgsCitation":"Stagg, C.L., Laurenzano, C., Vervaeke, W.C., Krauss, K., and McKee, K.L., 2022, Presence of the herbaceous marsh species Schoenoplectus americanus enhances surface elevation gain in transitional coastal wetland communities exposed to elevated CO2 and sediment deposition events: Plants, v. 11, no. 9, 1259, 18 p.; Data Release, https://doi.org/10.3390/plants11091259.","productDescription":"1259, 18 p.; Data Release","ipdsId":"IP-136673","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":447896,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/plants11091259","text":"Publisher Index Page"},{"id":400500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417842,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90JCZWU"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stagg, Camille L. 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":214497,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":842676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laurenzano, Claudia 0000-0003-1406-8658","orcid":"https://orcid.org/0000-0003-1406-8658","contributorId":218930,"corporation":false,"usgs":true,"family":"Laurenzano","given":"Claudia","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":842677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vervaeke, William C. 0000-0002-1518-5197","orcid":"https://orcid.org/0000-0002-1518-5197","contributorId":96613,"corporation":false,"usgs":false,"family":"Vervaeke","given":"William","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":842678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":842679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKee, Karen L. 0000-0001-7042-670X mckeek@usgs.gov","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":704,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"mckeek@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":842680,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231680,"text":"70231680 - 2022 - Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2022-05-20T11:55:42.439649","indexId":"70231680","displayToPublicDate":"2022-05-06T06:53:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Understanding drivers of water quality in local watersheds is the first step for implementing targeted restoration practices. Nutrient inventories can inform water quality management decisions by identifying shifts in nitrogen (N) and phosphorus (P) balances over space and time while also keeping track of the likely urban and agricultural point and nonpoint sources of pollution. The Chesapeake Bay Program's Chesapeake Assessment Scenario Tool (CAST) provides N and P balance data for counties throughout the Chesapeake Bay watershed, and these data were leveraged to create a detailed nutrient inventory for all the counties in the watershed from 1985–2019. This study focuses on three primary watershed nutrient balance components—agricultural surplus, atmospheric deposition, and point source loads—which are thought to be the leading anthropogenic drivers of nutrient loading trends across the watershed. All inputs, outputs, and derived metrics (n=53) like agricultural surplus and nutrient use efficiency, were subjected to short- and long-term trend analyses to discern how sources of pollution to surface water have changed over time. Across the watershed from 1985–2019, downward trends in atmospheric deposition were ubiquitous. Though there are varying effects, long-term declines in agricultural surplus were observed, likely because nutrients are being managed more efficiently. Multiple counties' point source loads declined, primarily associated with upgrades at major cities that discharge treated wastewater directly to tidal waters. Despite all of these positive developments, recent increases in agricultural surpluses from 2009–2019 highlight that water quality gains may soon be reversed in many agricultural areas of the basin. Besides tracking progress and jurisdictional influence on pollution sources, the nutrient inventory can be used for retrospective water quality analysis to highlight drivers of past improvement/degradation of water quality trends and for decision makers to develop and track their near- and long-term watershed restoration strategies.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/2515-7620/ac5db6","usgsCitation":"Sabo, R.D., Sullivan, B.M., Wu, C., Trentacoste, E.M., Zhang, Q., Shenk, G.W., Bhatt, G., and Linker, L.C., 2022, Major point and nonpoint sources of nutrient pollution to surface water have declined throughout the Chesapeake Bay watershed: Environmental Research Communications, v. 4, no. 4, 045012, 11 p., https://doi.org/10.1088/2515-7620/ac5db6.","productDescription":"045012, 11 p.","ipdsId":"IP-139189","costCenters":[{"id":37759,"text":"VA/WV Water Science 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State University","active":true,"usgs":false}],"preferred":false,"id":843393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Linker, Lewis C. 0000-0002-3456-3659","orcid":"https://orcid.org/0000-0002-3456-3659","contributorId":252964,"corporation":false,"usgs":false,"family":"Linker","given":"Lewis","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":843394,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70256662,"text":"70256662 - 2022 - Movement and habitat use by smallmouth bass Micropterus dolomieu velox in a dynamic Ozark Highlands riverscape","interactions":[],"lastModifiedDate":"2024-08-29T15:54:25.647648","indexId":"70256662","displayToPublicDate":"2022-05-05T10:48:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Movement and habitat use by smallmouth bass <i>Micropterus dolomieu velox</i> in a dynamic Ozark Highlands riverscape","title":"Movement and habitat use by smallmouth bass Micropterus dolomieu velox in a dynamic Ozark Highlands riverscape","docAbstract":"<p><span>Stream fish movement in response to changing resource availability and habitat needs is important for fish growth, survival and reproduction. The authors used radio telemetry to evaluate individual movements, daily movement rates, home ranges and habitat-use characteristics of adult (278–464 mm&nbsp;</span><i>L</i><sub>T</sub><span>) Neosho smallmouth bass&nbsp;</span><i>Micropterus dolomieu velox</i><span>&nbsp;in three Ozark Highlands streams from June 2016 to February 2018. The authors quantified variation in movement and habitat use among seasons and streams and examined relations with select environmental cues (</span><i>i.e.</i><span>, temperature and discharge), fish size and sex. Maximum movement distances were an order of magnitude greater in the larger Elk River (17.0 km) and Buffalo Creek (12.9 km) than in the smaller Sycamore Creek (1.71 km), were similar in both upstream and downstream directions and typically occurred during the spring. Most movement rates were ≤10 m day</span><sup>−1</sup><span>&nbsp;in all streams and seasons, except for Elk River during spring. Ranking of linear mixed-effects models using AIC</span><sub><i>c</i></sub><span>&nbsp;supported that movement rates were much greater in spring and increased with stream size. Spring movement rate increased with discharge and water temperature; only weak relationships were apparent during other seasons. Increased variation in water temperature had a small negative effect on movement rate. Home range size was highly variable among individuals, ranging 45–15,061 m (median: 773 m), and was not related to fish size, sex, season or stream. Although some fish moved between rivers, this study's tagged fish did not use reservoir or associated interface habitat. Water temperatures used by this study's tagged fish followed seasonal patterns but indicated the use of thermal refugia during summer and winter. Deeper-water habitats were used in Buffalo Creek and in winter across all study streams, whereas greater velocities used in the Elk River likely reflect the increased use of run habitats. Use of pool habitats predominated among tagged fish, particularly in smaller streams. The results of this study indicate considerable heterogeneity in movement and habitat use within and among lotic populations of Neosho smallmouth bass. These findings suggest that population-specific management may be appropriate and highlight the importance of natural flow conditions (</span><i>i.e.</i><span>, spring high flows) and connected habitats for this endemic sport fish, particularly in smaller streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15076","usgsCitation":"Miller, A., and Brewer, S.K., 2022, Movement and habitat use by smallmouth bass Micropterus dolomieu velox in a dynamic Ozark Highlands riverscape: Journal of Fish Biology, v. 101, no. 1, p. 100-114, https://doi.org/10.1111/jfb.15076.","productDescription":"15 p.","startPage":"100","endPage":"114","ipdsId":"IP-133584","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":447901,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/jfb.15076","text":"External Repository"},{"id":433317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri, Oklahoma","otherGeospatial":"Brush Creek, Elk River, Sycamore Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.00337991937396,\n              36.9787447036027\n            ],\n            [\n              -95.00337991937396,\n              36.50639274310335\n            ],\n            [\n              -94.07756711091189,\n              36.50639274310335\n            ],\n            [\n              -94.07756711091189,\n              36.9787447036027\n            ],\n            [\n              -95.00337991937396,\n              36.9787447036027\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"101","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Andrew D.","contributorId":341518,"corporation":false,"usgs":false,"family":"Miller","given":"Andrew D.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908548,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70231752,"text":"70231752 - 2022 - Structured elicitation of expert judgement in real-time eruption scenarios: An exercise for Piton de la Fournaise volcano, La Réunion island","interactions":[],"lastModifiedDate":"2022-05-25T15:19:27.635832","indexId":"70231752","displayToPublicDate":"2022-05-05T10:07:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Structured elicitation of expert judgement in real-time eruption scenarios: An exercise for Piton de la Fournaise volcano, La Réunion island","docAbstract":"<p><span>Formalised elicitation of expert judgements has been used to help tackle several problematic societal&nbsp;issues, including volcanic crises and pandemic threats. We present an expert elicitation exercise for Piton de la&nbsp;Fournaise volcano, La Réunion island, held remotely in April 2021. This involved 28 experts from nine&nbsp;countries who considered a hypothetical effusive eruption crisis involving a new vent opening in a high-risk area.&nbsp;The tele-elicitation presented several challenges, but is a promising and workable option for application to future&nbsp;volcanic crises. Our exercise considered an “uncommon” eruptive scenario with a vent outside the present caldera&nbsp;and within inhabited areas, and provided uncertainty ranges for several hazard-related questions for such a scenario&nbsp;(e.g. probability of eruption within a defined timeframe; elapsed time until lava flow reaches a critical location, and&nbsp;other hazard management issues). Our exercise indicated that such a scenario would probably present very different&nbsp;characteristics compared to recent eruptions, and that it is fundamental to include well-prepared&nbsp;expert elicitations in updated civil protection evacuation plans to improve disaster response procedures.</span></p>","language":"English","publisher":"Presses Universitaires de Strasbourg","doi":"10.30909/vol.05.01.105131","usgsCitation":"Tadini, A., Harris, A.J., Morin, J., Bevilacqua, A., Peltier, A., Aspinall, W., Ciolli, S., Bachelery, P., Bernard, B., Biren, J., da Silveira, A.B., Cayol, V., Chevrel, O., Coppola, D., Dietterich, H., Donovan, A., Dorado, O., Drenne, S., Dupere, O., Gurioli, L., Kolzenburg, S., Komorowski, J., Labazuy, P., Mangione, D., Mannini, S., Martel-Asselin, F., Medard, E., Pailot-Bonnetat, S., Rafflin, V., Ramsey, M., Richter, N., Vallejo-Vargas, S., Villeneuve, N., and Zafrilla, S., 2022, Structured elicitation of expert judgement in real-time eruption scenarios: An exercise for Piton de la Fournaise volcano, La Réunion island: Volcanica, v. 5, no. 1, p. 105-131, https://doi.org/10.30909/vol.05.01.105131.","productDescription":"27 p.","startPage":"105","endPage":"131","ipdsId":"IP-138810","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":447906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.05.01.105131","text":"Publisher Index Page"},{"id":401050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"La Réunion Island, Piton de la Fournaise Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              55.15960693359375,\n              -21.423668314313243\n            ],\n            [\n              55.85723876953125,\n              -21.423668314313243\n            ],\n            [\n              55.85723876953125,\n              -20.820308271198467\n            ],\n            [\n              55.15960693359375,\n              -20.820308271198467\n            ],\n            [\n              55.15960693359375,\n              -21.423668314313243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Tadini, Alessandro","contributorId":292017,"corporation":false,"usgs":false,"family":"Tadini","given":"Alessandro","email":"","affiliations":[{"id":62801,"text":"Université Clermont Auvergne","active":true,"usgs":false}],"preferred":false,"id":843648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Andrew J. 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,{"id":70240353,"text":"70240353 - 2022 - Invasion of annual grasses following wildfire corresponds to maladaptive habitat selection by a sagebrush ecosystem indicator species","interactions":[],"lastModifiedDate":"2023-02-06T15:55:04.895367","indexId":"70240353","displayToPublicDate":"2022-05-05T09:50:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Invasion of annual grasses following wildfire corresponds to maladaptive habitat selection by a sagebrush ecosystem indicator species","docAbstract":"<p><span>Numerous wildlife species within semi-arid&nbsp;<a class=\"topic-link\" title=\"Learn more about shrubland from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/shrubland\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/shrubland\">shrubland</a>&nbsp;ecosystems across western North America are experiencing substantial habitat loss and fragmentation. These changes in habitat are often attributed to a diverse suite of factors including prolonged and increasingly severe droughts, conifer expansion, anthropogenic development, domestic and feral livestock grazing, and invasion of exotic annual grasses, which promotes increased wildfire frequency and severity. Greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter, sage-grouse) are considered an indicator of sagebrush ecosystem health and have experienced widespread population decline associated with habitat loss and degradation, as well as changes in predator communities. Our objectives were to model and map sage-grouse habitat selection and survival during the important brood-rearing life stage in relation to landscape-scale environmental predictors. Furthermore, we sought to understand impacts of wildfire and annual grass invasion on brood habitat, as these accelerated disturbance regimes are a primary cause of habitat loss within the Great Basin region of the USA. We used a hierarchical Bayesian modeling framework to estimate resource selection functions and survival for early and late brood-rearing stages of sage-grouse in relation to a broad suite of habitat characteristics evaluated at multiple spatial scales within the Great Basin from 2009 to 2019. Sage-grouse selected for greater&nbsp;<a class=\"topic-link\" title=\"Learn more about perennial from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/perennials\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/perennials\">perennial</a>&nbsp;grass cover, higher relative elevations, and areas closer to springs and&nbsp;<a class=\"topic-link\" title=\"Learn more about wet meadows from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/wet-meadow\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/wet-meadow\">wet meadows</a>&nbsp;during both early and late brood-rearing. Terrain characteristics, including heat load and aspect, were important in survival models, as was variation in shrub height. We also found strong evidence for higher survival for both early and late broods within previously burned areas, but survival within burned areas decreased as annual grass cover (i.e.&nbsp;<a class=\"topic-link\" title=\"Learn more about cheatgrass from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/bromus-tectorum\" data-mce-href=\"https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/bromus-tectorum\">cheatgrass</a>,&nbsp;</span><i>Bromus tectorum</i><span>) increased. This interaction effect demonstrates how invasion of annual grasses into burned areas, which has become prevalent in Great Basin sagebrush ecosystems, can lead to maladaptive habitat selection by brood-rearing greater sage-grouse. Understanding these complex relationships aids wildlife conservation and habitat management as wildfire and annual grass cycles continue to accelerate across western ecosystems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02147","usgsCitation":"Brussee, B.E., Coates, P.S., O’Neil, S.T., Casazza, M.L., Espinosa, S.P., Boone, J., Ammon, E., Gardner, S.C., and Delehanty, D.J., 2022, Invasion of annual grasses following wildfire corresponds to maladaptive habitat selection by a sagebrush ecosystem indicator species: Global Ecology and Conservation, v. 37, e02147, 19 p., https://doi.org/10.1016/j.gecco.2022.e02147.","productDescription":"e02147, 19 p.","ipdsId":"IP-133908","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447908,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02147","text":"Publisher Index Page"},{"id":435856,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B593DZ","text":"USGS data release","linkHelpText":"Spatially-Explicit Predictive Maps of Greater Sage-Grouse Brood Selection Integrated with Brood Survival in Nevada and Northeastern California, USA"},{"id":412740,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.11100469577016,\n              37.65679718030911\n            ],\n            [\n              -114.01367957532398,\n              37.81079149850166\n            ],\n            [\n              -114.06841886178916,\n              41.950546575009156\n          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Plumb Ln Ste 256 A, Reno, NV 89502, USA","active":true,"usgs":false}],"preferred":false,"id":863539,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":863540,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":863541,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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