{"pageNumber":"392","pageRowStart":"9775","pageSize":"25","recordCount":165270,"records":[{"id":70228755,"text":"70228755 - 2022 - The global environmental agenda urgently needs a semantic web of knowledge","interactions":[],"lastModifiedDate":"2022-02-18T15:10:45.197958","indexId":"70228755","displayToPublicDate":"2022-02-17T09:08:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5897,"text":"Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"The global environmental agenda urgently needs a semantic web of knowledge","docAbstract":"<p><span>Progress in key social-ecological challenges of the global environmental agenda (e.g., climate change, biodiversity conservation, Sustainable Development Goals) is hampered by a lack of integration and synthesis of existing scientific evidence. Facing a fast-increasing volume of data, information remains compartmentalized to pre-defined scales and fields, rarely building its way up to collective knowledge. Today's distributed&nbsp;</span><i>corpus</i><span>&nbsp;of human intelligence, including the scientific publication system, cannot be exploited with the efficiency needed to meet current evidence synthesis challenges; computer-based intelligence could assist this task. Artificial Intelligence (AI)-based approaches underlain by semantics and machine reasoning offer a constructive way forward, but depend on greater understanding of these technologies by the science and policy communities and coordination of their use. By labelling web-based scientific information to become readable by both humans and computers, machines can search, organize, reuse, combine and synthesize information quickly and in novel ways. Modern open science infrastructure—i.e., public data and model repositories—is a useful starting point, but without shared semantics and common standards for machine actionable data and models, our collective ability to build, grow, and share a collective knowledge base will remain limited. The application of semantic and machine reasoning technologies by a broad community of scientists and decision makers will favour open synthesis to contribute and reuse knowledge and apply it toward decision making.</span></p>","language":"English","publisher":"BMC","doi":"10.1186/s13750-022-00258-y","usgsCitation":"Balbi, S., Bagstad, K.J., Magrach, A., Sanz, M.J., Aguilar-Amuchastegui, N., Guipponi, C., and Villa, F., 2022, The global environmental agenda urgently needs a semantic web of knowledge: Environmental Evidence, v. 11, 5, 6 p., https://doi.org/10.1186/s13750-022-00258-y.","productDescription":"5, 6 p.","ipdsId":"IP-126413","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":448740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-022-00258-y","text":"Publisher Index Page"},{"id":396173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":835327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanz, Maria Jose 0000-0003-0471-3094","orcid":"https://orcid.org/0000-0003-0471-3094","contributorId":279661,"corporation":false,"usgs":false,"family":"Sanz","given":"Maria","email":"","middleInitial":"Jose","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguilar-Amuchastegui, Naikoa 0000-0002-5072-0079","orcid":"https://orcid.org/0000-0002-5072-0079","contributorId":279662,"corporation":false,"usgs":false,"family":"Aguilar-Amuchastegui","given":"Naikoa","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":835330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guipponi, Carlo","contributorId":279664,"corporation":false,"usgs":false,"family":"Guipponi","given":"Carlo","email":"","affiliations":[{"id":47673,"text":"Ca’ Foscari University of Venice","active":true,"usgs":false}],"preferred":false,"id":835331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70231644,"text":"70231644 - 2022 - Pollutant co-attenuation via in-stream interactions between mine drainage and municipal wastewater","interactions":[],"lastModifiedDate":"2022-05-18T14:00:27.633554","indexId":"70231644","displayToPublicDate":"2022-02-17T08:57:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Pollutant co-attenuation via in-stream interactions between mine drainage and municipal wastewater","docAbstract":"<p><span>Municipal wastewater (MWW) and mine drainage (MD) are common co-occurring sources of freshwater pollution in mining regions. The physicochemical interactions that occur after mixing MWW and MD in a waterway may improve downstream water quality of an impaired reach by reducing downstream concentrations of nutrients and metals (i.e., “co-attenuation”). A first-order stream (Bradley Run in central Pennsylvania), with coal MD and secondarily treated MWW entering the stream in the same location, was systematically monitored to determine in-stream water-quality dynamics. Monitored constituents included pH, nutrients (i.e., phosphorus and nitrogen), and metals (e.g., iron, aluminum, manganese). Mixing of the MWW, MD, and upstream water decreased concentrations of phosphate, aluminum, and iron by 94%, 91%, and 98%, respectively, relative to conservative mixtures at the 1400-m-downstream site. The pollutant co-attenuation resulted in water quality equivalent to that upstream of the pollutant sources and improved the phosphorus-based trophic status of the stream. Geochemical models indicate the primary mechanisms for P attenuation in the studied stream were precipitation as variscite (AlPO</span><sub>4</sub><span>:2H</span><sub>2</sub><span>O) or amorphous AlPO</span><sub>4</sub><span>&nbsp;plus adsorption to hydrous ferric oxide, despite a much greater abundance of hydrous aluminum oxide. The results presented in this study suggest that in-stream mixing of MD with untreated or secondarily treated MWW may be an important, overlooked factor affecting downstream transport of common pollutants in mining regions. Decreased metals loading and increased pH resulting from natural attenuation and remediation of MD could affect the potential for retention of phosphate by stream sediment and could lead to the release of nutrients from legacy accumulations, highlighting the potential need to address high-nutrient discharges (e.g., improved MWW treatment) in concert with MD remediation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2022.118173","usgsCitation":"Spellman, C.J., Smyntek, P.M., Cravotta, C., Tasker, T.L., and Strosnider, W.H., 2022, Pollutant co-attenuation via in-stream interactions between mine drainage and municipal wastewater: Water Research, v. 214, 118173, 10 p., https://doi.org/10.1016/j.watres.2022.118173.","productDescription":"118173, 10 p.","ipdsId":"IP-134190","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":400756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"214","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spellman, Charles J.","contributorId":291844,"corporation":false,"usgs":false,"family":"Spellman","given":"Charles","email":"","middleInitial":"J.","affiliations":[{"id":62771,"text":"Department of Civil and Environmental Engineering, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":843213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smyntek, Peter M.","contributorId":291642,"corporation":false,"usgs":false,"family":"Smyntek","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":62738,"text":"Saint Vincent College","active":true,"usgs":false}],"preferred":false,"id":843214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tasker, Travis L.","contributorId":211456,"corporation":false,"usgs":false,"family":"Tasker","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":843216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strosnider, William H. J.","contributorId":291845,"corporation":false,"usgs":false,"family":"Strosnider","given":"William","email":"","middleInitial":"H. J.","affiliations":[{"id":62772,"text":"Baruch Institute for Marine and Coastal Sciences, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":843217,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70228754,"text":"70228754 - 2022 - Subsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics","interactions":[],"lastModifiedDate":"2022-02-18T14:08:59.596133","indexId":"70228754","displayToPublicDate":"2022-02-17T08:03:36","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10120,"text":"npj Biofilms and Microbiomes","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics","docAbstract":"<p><span>Environmentally relevant metagenomes and BONCAT-FACS derived translationally active metagenomes from Powder River Basin coal seams were investigated to elucidate potential genes and functional groups involved in hydrocarbon degradation to methane in coal seams with high- and low-sulfate levels. An advanced subsurface environmental sampler allowed the establishment of coal-associated microbial communities under in situ conditions for metagenomic analyses from environmental and translationally active populations. Metagenomic sequencing demonstrated that biosurfactants, aerobic dioxygenases, and anaerobic phenol degradation pathways were present in active populations across the sampled coal seams. In particular, results suggested the importance of anaerobic degradation pathways under high-sulfate conditions with an emphasis on fumarate addition. Under low-sulfate conditions, a mixture of both aerobic and anaerobic pathways was observed but with a predominance of aerobic dioxygenases. The putative low-molecular-weight biosurfactant, lichysein, appeared to play a more important role compared to rhamnolipids. The methods used in this study—subsurface environmental samplers in combination with metagenomic sequencing of both total and translationally active metagenomes—offer a deeper and environmentally relevant perspective on community genetic potential from coal seams poised at different redox conditions broadening the understanding of degradation strategies for subsurface carbon.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41522-022-00267-2","usgsCitation":"Schweitzer, H.S., Smith, H.J., Barnhart, E.P., McKay, L.J., Gerlach, R., Cunningham, A.B., Malmstrom, R.R., Goudeau, D., and Fields, M.W., 2022, Subsurface hydrocarbon degradation strategies in low- and high-sulfate coal seam communities identified with activity-based metagenomics: npj Biofilms and Microbiomes, v. 8, 7, 10 p., https://doi.org/10.1038/s41522-022-00267-2.","productDescription":"7, 10 p.","ipdsId":"IP-126104","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":448742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41522-022-00267-2","text":"Publisher Index Page"},{"id":396170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schweitzer, Hannah S.","contributorId":268345,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Hannah","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":835318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Heidi J.","contributorId":268344,"corporation":false,"usgs":false,"family":"Smith","given":"Heidi","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":835319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":835320,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKay, Luke J.","contributorId":268349,"corporation":false,"usgs":false,"family":"McKay","given":"Luke","email":"","middleInitial":"J.","affiliations":[{"id":55631,"text":"Center for Biofilm Engineering, Montana State University, Bozeman","active":true,"usgs":false}],"preferred":false,"id":835321,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerlach, Robin","contributorId":203247,"corporation":false,"usgs":false,"family":"Gerlach","given":"Robin","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":835322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cunningham, Alfred B.","contributorId":172389,"corporation":false,"usgs":false,"family":"Cunningham","given":"Alfred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":835323,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Malmstrom, Rex R.","contributorId":268350,"corporation":false,"usgs":false,"family":"Malmstrom","given":"Rex","email":"","middleInitial":"R.","affiliations":[{"id":55632,"text":"DOE Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":835324,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goudeau, Danielle","contributorId":268351,"corporation":false,"usgs":false,"family":"Goudeau","given":"Danielle","email":"","affiliations":[{"id":55632,"text":"DOE Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":835405,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":835325,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70237304,"text":"70237304 - 2022 - Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model","interactions":[],"lastModifiedDate":"2022-10-07T12:24:33.871983","indexId":"70237304","displayToPublicDate":"2022-02-17T07:19:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>We developed a continental energetics-based model of daily mallard (<i>Anas platyrhynchos</i>) movement during the non-breeding period (September to May) to predict year-specific migration and overwinter occurrence. The model approximates movements and stopovers as functions of metabolism and weather, in terms of temperature and frozen precipitation (i.e., snow). The model is a Markov process operating at the population level and is parameterized through a review of literature. We applied the model to 62&nbsp;years of daily weather data for the non-breeding period. The average proportion of available habitat decreased as weather severity increased, with mortality decreasing as the proportion of available habitat increased. The most commonly used locations during the course of the non-breeding period were generally consistent across years, with the most inter-annual variation present in the overwintering area. Our model revealed that the distribution of mallards on the landscape changed more dramatically when the variation in daily available habitat was greater. The main routes for avian migration in North America were predicted by our simulations: the Atlantic, Mississippi, Central, and Pacific flyways. Our model predicted an average of 77.4% survivorship for the non-breeding period across all years (range = 76.4%–78.4%), with lowest survivorship during autumn (90.5 ± 1.4%), intermediate survivorship in winter (91.8 ± 0.7%), and greatest survivorship in spring (93.6 ± 1.1%). We provide the parameters necessary for exploration within and among other taxa to leverage the generalizability of this migration model to a broader expanse of bird species, and across a range of climate change and land use/land cover change scenarios.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8617","usgsCitation":"Aagaard, K., Lonsdorf, E.V., and Thogmartin, W.E., 2022, Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model: Ecology and Evolution, v. 12, no. 2, e8617, 17 p., https://doi.org/10.1002/ece3.8617.","productDescription":"e8617, 17 p.","ipdsId":"IP-098938","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448743,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8617","text":"External Repository"},{"id":408084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":297403,"corporation":false,"usgs":false,"family":"Aagaard","given":"Kevin","affiliations":[{"id":40249,"text":"former UMESC employee","active":true,"usgs":false}],"preferred":false,"id":854092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsdorf, Eric V.","contributorId":149495,"corporation":false,"usgs":false,"family":"Lonsdorf","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":854094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":854096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228765,"text":"70228765 - 2022 - Contaminant fluxes across ecosystems mediated by aquatic insects","interactions":[],"lastModifiedDate":"2022-02-18T13:21:54.092784","indexId":"70228765","displayToPublicDate":"2022-02-17T07:18:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5191,"text":"Current Opinion in Insect Science","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant fluxes across ecosystems mediated by aquatic insects","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0025\">Metals and organic contaminants in aquatic systems affect the coupling of aquatic and terrestrial ecosystems through two pathways: contaminant-induced effects on insect emergence and emergence-induced contaminant transfer. Consequently, the impact of aquatic contaminants on terrestrial ecosystems can be driven by modifications in the quantity and quality of adult aquatic insects serving as prey or contaminants entering terrestrial food webs as part of the diet of terrestrial predators. Here, we provide an overview of recent advances in the field, separating metals from organic contaminants due to their differential propensity to bioaccumulate and thus their potential contribution to either of the two pathways. Finally, this review highlights the knowledge gap in the relative impact of these pathways on terrestrial insectivores.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cois.2022.100885","usgsCitation":"Bundschuh, M., Pietz, S., Roodt, A.P., and Kraus, J.M., 2022, Contaminant fluxes across ecosystems mediated by aquatic insects: Current Opinion in Insect Science, v. 50, 100885, 6 p., https://doi.org/10.1016/j.cois.2022.100885.","productDescription":"100885, 6 p.","ipdsId":"IP-135406","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cois.2022.100885","text":"Publisher Index Page"},{"id":396165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bundschuh, Mirco","contributorId":205001,"corporation":false,"usgs":false,"family":"Bundschuh","given":"Mirco","email":"","affiliations":[],"preferred":false,"id":835353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietz, Sebastian","contributorId":279686,"corporation":false,"usgs":false,"family":"Pietz","given":"Sebastian","email":"","affiliations":[{"id":57337,"text":"University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":835354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roodt, Alexis P.","contributorId":279687,"corporation":false,"usgs":false,"family":"Roodt","given":"Alexis","email":"","middleInitial":"P.","affiliations":[{"id":57337,"text":"University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":835355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238150,"text":"70238150 - 2022 - Forbs included in conservation seed mixes exhibit variable blooming detection rates and cost-effectiveness: Implications for pollinator habitat design","interactions":[],"lastModifiedDate":"2022-11-15T12:58:36.3187","indexId":"70238150","displayToPublicDate":"2022-02-17T06:57:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Forbs included in conservation seed mixes exhibit variable blooming detection rates and cost-effectiveness: Implications for pollinator habitat design","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Although forb-rich plantings for pollinator habitat are becoming more common, natural resource managers lack insight on the cost-effectiveness of forbs seeded in private land conservation programs. Additional information on the possible benefits of including more forb species in a mix may help guide the design of future pollinator habitat. We examined the detection of blooming forbs from seed mixes, colonization of non-seeded blooming forbs, and bee utilization of forbs on private lands enrolled in United States Department of Agriculture (USDA) conservation programs. By obtaining the original seed mixes used on conservation program lands and sampling forbs and bees, we provide a first-hand evaluation of the cost-effectiveness of USDA conservation plantings in a field setting. We identified seeded forbs with the highest blooming detection rates and the most common colonizing forbs across 27 sites, the majority of which were considered young conservation plantings. We additionally designated 16 forbs as the most cost-effective due to their higher-than-average blooming detection rate and lower-than-average seed cost. We found a positive association between seed mix richness and number of blooming, seeded forbs detected and found a negative association with blooming, non-native colonizing forbs, which highlights potential benefits of increasing forb richness in seed mixes. However, we did not observe an association between seed mix richness and wild bee or honey bee counts. Examining the cost-effectiveness of seeded forbs on USDA conservation enrollments and subsequent bee utilization can inform land managers in designing seed mixes for pollinator habitat.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.13657","usgsCitation":"Simanonok, S.C., Otto, C., and Iovanna, R., 2022, Forbs included in conservation seed mixes exhibit variable blooming detection rates and cost-effectiveness: Implications for pollinator habitat design: Restoration Ecology, v. 30, no. 8, e13657, 10 p., https://doi.org/10.1111/rec.13657.","productDescription":"e13657, 10 p.","ipdsId":"IP-130174","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":448749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.13657","text":"Publisher Index Page"},{"id":409351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Simanonok, Stacy C. 0000-0002-0287-3871","orcid":"https://orcid.org/0000-0002-0287-3871","contributorId":229607,"corporation":false,"usgs":true,"family":"Simanonok","given":"Stacy","email":"","middleInitial":"C.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":856992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iovanna, Rich","contributorId":207528,"corporation":false,"usgs":false,"family":"Iovanna","given":"Rich","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":856993,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70228776,"text":"70228776 - 2022 - Atlantic circulation change still uncertain","interactions":[],"lastModifiedDate":"2022-03-18T15:13:49.075707","indexId":"70228776","displayToPublicDate":"2022-02-17T06:44:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic circulation change still uncertain","docAbstract":"<div class=\"c-article-section__content\"><p>Deep oceanic overturning circulation in the Atlantic (Atlantic Meridional Overturning Circulation (AMOC)) is projected to decrease in the future in response to anthropogenic warming. Caesar et al.<sup>1</sup><span>&nbsp;</span>argue that an AMOC slowdown started in the nineteenth century and intensified during the mid-twentieth century. Although the argument and selected evidence proposed have some merits, we find that their conclusions might be different if a more complete array of data available in the North Atlantic region is considered. We argue that the strength of AMOC over recent centuries is still poorly constrained and the expected slowdown may not have started yet.</p></div><div class=\"c-article-section__content\"><p>Recently, Moffa-Sánchez et al.<sup>2</sup><span>&nbsp;</span>compiled a comprehensive set of palaeoclimate proxy data from the North Atlantic and Arctic regions using objective criteria to identify high-quality datasets of ocean conditions that span the past two millennia (Fig.<span>&nbsp;</span>1). Although no direct (singular) proxy for AMOC exists, the palaeoceanographic proxy data compiled by Moffa-Sánchez et al.<sup>2</sup><span>&nbsp;</span>highlight the spatial and temporal complexities of the ocean state in modern times and the recent past. When all the available proxy records potentially related to AMOC variability and twentieth century observational datasets are considered, the time history of the AMOC system becomes less certain. In contrast, selecting only a subset of proxy records that share similar trends, as performed by Caesar et al.<sup>1</sup>, provides an incomplete perspective on AMOC changes through time.</p></div>","language":"English","publisher":"Nature","doi":"10.1038/s41561-022-00896-4","usgsCitation":"Kilbourne, K., Wanamaker, A., Moffa-Sanchez, P., Reynolds, D.J., Amrhein, D.E., Butler, P.G., Goes, M., Jansen, M., Little, C.M., Mette, M.J., Moreno-Chamarro, E., Ortega, P., Otto-Bliesner, B., Rossby, T., Scourse, J., and Whitney, N.M., 2022, Atlantic circulation change still uncertain: Nature Geoscience, v. 15, p. 165-167, https://doi.org/10.1038/s41561-022-00896-4.","productDescription":"3 p.","startPage":"165","endPage":"167","ipdsId":"IP-129964","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467199,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/2234","text":"External Repository"},{"id":396160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, Iceland, Ireland, Morocco, Norway, Scotland, Wales","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.671875,\n              31.353636941500987\n            ],\n            [\n              -82.265625,\n              26.745610382199022\n            ],\n            [\n              -8.7890625,\n              29.84064389983441\n            ],\n            [\n              -10.8984375,\n              38.272688535980976\n            ],\n            [\n              -7.734374999999999,\n              45.336701909968134\n            ],\n            [\n              -4.21875,\n              53.9560855309879\n            ],\n            [\n              3.515625,\n              62.431074232920906\n            ],\n            [\n              9.84375,\n              64.92354174306496\n            ],\n            [\n              15.468749999999998,\n              68.9110048456202\n            ],\n            [\n              14.765625,\n              79.56054626376367\n            ],\n            [\n              -33.75,\n              78.27820145542813\n            ],\n            [\n              -61.52343749999999,\n              73.32785809840696\n            ],\n            [\n              -65.390625,\n              59.355596110016315\n            ],\n            [\n              -75.5859375,\n              44.59046718130883\n            ],\n            [\n              -83.671875,\n              31.353636941500987\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kilbourne, K. Halimeda","contributorId":279708,"corporation":false,"usgs":false,"family":"Kilbourne","given":"K. Halimeda","affiliations":[{"id":57347,"text":"aUniversity of Maryland Center for Environmental Science, Chesapeake Biological Laboratory, USA","active":true,"usgs":false}],"preferred":false,"id":835386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wanamaker, Alan D.","contributorId":279709,"corporation":false,"usgs":false,"family":"Wanamaker","given":"Alan D.","affiliations":[{"id":57349,"text":"Department of Geological and Atmospheric Sciences, Iowa State University, USA","active":true,"usgs":false}],"preferred":false,"id":835387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moffa-Sanchez, Paola","contributorId":279710,"corporation":false,"usgs":false,"family":"Moffa-Sanchez","given":"Paola","email":"","affiliations":[{"id":57350,"text":"Geography Department, Durham University, DH1 3LE, UK","active":true,"usgs":false}],"preferred":false,"id":835388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, David J.","contributorId":279711,"corporation":false,"usgs":false,"family":"Reynolds","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amrhein, Daniel E.","contributorId":279712,"corporation":false,"usgs":false,"family":"Amrhein","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":57353,"text":"Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":835390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Paul G.","contributorId":279713,"corporation":false,"usgs":false,"family":"Butler","given":"Paul","email":"","middleInitial":"G.","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goes, Marlos","contributorId":279714,"corporation":false,"usgs":false,"family":"Goes","given":"Marlos","email":"","affiliations":[{"id":57354,"text":"Cooperative Institute of Marine and Atmospheric Studies, University of Miami, and Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, USA","active":true,"usgs":false}],"preferred":false,"id":835392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jansen, Malte","contributorId":279715,"corporation":false,"usgs":false,"family":"Jansen","given":"Malte","email":"","affiliations":[{"id":57355,"text":"Department of the Geophysical Sciences, The University of Chicago, Chicago, IL, USA","active":true,"usgs":false}],"preferred":false,"id":835393,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Little, Christopher M.","contributorId":279716,"corporation":false,"usgs":false,"family":"Little","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":57356,"text":"Oceanography Department, Atmospheric and Environmental Research, Inc., USA","active":true,"usgs":false}],"preferred":false,"id":835394,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mette, Madelyn Jean 0000-0002-4504-8847","orcid":"https://orcid.org/0000-0002-4504-8847","contributorId":279717,"corporation":false,"usgs":true,"family":"Mette","given":"Madelyn","email":"","middleInitial":"Jean","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":835395,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moreno-Chamarro, Eduardo","contributorId":279718,"corporation":false,"usgs":false,"family":"Moreno-Chamarro","given":"Eduardo","affiliations":[{"id":35582,"text":"Barcelona Supercomputing Center, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":835396,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ortega, Pablo","contributorId":279719,"corporation":false,"usgs":false,"family":"Ortega","given":"Pablo","email":"","affiliations":[{"id":35582,"text":"Barcelona Supercomputing Center, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":835397,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Otto-Bliesner, Bette L.","contributorId":279720,"corporation":false,"usgs":false,"family":"Otto-Bliesner","given":"Bette L.","affiliations":[{"id":57353,"text":"Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":835398,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rossby, Thomas","contributorId":279721,"corporation":false,"usgs":false,"family":"Rossby","given":"Thomas","email":"","affiliations":[{"id":57357,"text":"Graduate School of Oceanography, University of Rhode Island, USA","active":true,"usgs":false}],"preferred":false,"id":835399,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scourse, James","contributorId":279722,"corporation":false,"usgs":false,"family":"Scourse","given":"James","email":"","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835400,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Whitney, Nina M.","contributorId":279723,"corporation":false,"usgs":false,"family":"Whitney","given":"Nina","email":"","middleInitial":"M.","affiliations":[{"id":26904,"text":"Woods Hole Oceanographic Institution, USA","active":true,"usgs":false}],"preferred":false,"id":835401,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70228902,"text":"70228902 - 2022 - Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards","interactions":[],"lastModifiedDate":"2022-02-23T12:42:18.701658","indexId":"70228902","displayToPublicDate":"2022-02-17T06:40:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1799,"text":"Geomatics, Natural Hazards and Risk","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Most wildfires are started by humans, however, geographic variation of potential ignition sources is not often explicitly accounted for in wildfire simulation modelling or risk assessments. In this study, we investigated how patterns of human and lightning ignitions can influence modelled fire simulations and demonstrate how these data can be used to assess post-fire flooding and sediment transport. We used historical ignition data (1992–2015) to characterize ignition patterns for thirteen mountain ranges in southern Arizona, United States, and developed FlamMap burn probability (BP) models for three scenarios: human ignition, lightning ignition, and random ignition. We then developed a watershed-scale case study assessing the impacts of ignition scenarios on post-fire hydrology using the KINEROS2 model that simulates runoff and erosion. BP models illustrated considerable differences in landscape fire risk between the three ignition scenarios. Results from the watershed model indicate the greatest impacts from the post-fire human ignition scenario, with a 10-fold increase in sediment discharge and four-fold increase in peak flow compared to pre-fire conditions. Our results show that consideration of ignition source and location is important for assessing fire risk, and our modelling approach provides a planning mechanism to identify locations most at risk to fire-induced flood hazards, where prevention and mitigation activities can be focused.</p></div></div>","language":"English","publisher":"Taylor and Frances","doi":"10.1080/19475705.2022.2039787","usgsCitation":"Villarreal, M.L., Norman, L., Yao, E., and Conrad, C., 2022, Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards: Geomatics, Natural Hazards and Risk, v. 13, no. 1, p. 568-590, https://doi.org/10.1080/19475705.2022.2039787.","productDescription":"23 p.","startPage":"568","endPage":"590","ipdsId":"IP-134069","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448754,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19475705.2022.2039787","text":"Publisher Index Page"},{"id":435962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FYHDWZ","text":"USGS data release","linkHelpText":"Burn probability models calibrated using past human and lightning ignition patterns in the Madrean Sky Islands, Arizona"},{"id":396331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yao, Erika","contributorId":280000,"corporation":false,"usgs":false,"family":"Yao","given":"Erika","email":"","affiliations":[{"id":57405,"text":"Contractor to Western Geographic Science Center","active":true,"usgs":false}],"preferred":false,"id":835831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Caroline Rose","contributorId":280001,"corporation":false,"usgs":true,"family":"Conrad","given":"Caroline Rose","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835832,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266315,"text":"70266315 - 2022 - Conflicts among protected native birds and valuable sport fishes: Potential pelican predation effects","interactions":[],"lastModifiedDate":"2025-05-05T15:39:29.510748","indexId":"70266315","displayToPublicDate":"2022-02-17T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Conflicts among protected native birds and valuable sport fishes: Potential pelican predation effects","docAbstract":"<p><span>Reservoirs are examples of novel ecosystems that have developed into popular sport fisheries; these systems are also becoming seasonal refuges for migratory birds, including the piscivorous American white pelican (</span><i>Pelecanus erythrorhynchos</i><span>). We (1)&nbsp;investigated the proportion of cutthroat trout (</span><i>Oncorhynchus clarkii utah</i><span>) and other species consumed by pelicans, (2)&nbsp;compared whether pelicans have an adverse effect on cutthroat trout spawning movement, and (3)&nbsp;determined the importance of pelican predation relative to other sources of fish mortality in Strawberry Reservoir, Utah, USA. Pelican diet samples consisted of &gt;85% Utah sucker (</span><i>Catostomus ardens</i><span>), 6% Utah chub (</span><i>Gila atraria</i><span>), and 3% cutthroat trout. Based on bioenergetics, we estimated that pelicans consumed 384–3020 individual cutthroat trout (0.17%–1.3% of population), in contrast to 14 166–27 196 nongame sucker and chub. Bird-related mortality rate ranged from 1% to 6% for stocked, PIT (passive integrated transponder)-tagged adult cutthroat trout and from 4% to 16% for subadult cutthroat trout. Based on these results, any management action taken to control pelican predation would need to be weighed against the benefits of nongame fish removal and the protected status of pelicans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1139/cjfas-2021-0228","usgsCitation":"Budy, P., Thiede, G., Chapman, K., and Howe, F., 2022, Conflicts among protected native birds and valuable sport fishes: Potential pelican predation effects: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 9, p. 1361-1376, https://doi.org/10.1139/cjfas-2021-0228.","productDescription":"16 p.","startPage":"1361","endPage":"1376","ipdsId":"IP-125267","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","county":"Wasatch County","city":"Heber City","otherGeospatial":"Strawberry Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.22710807265382,\n              40.25870616179648\n            ],\n            [\n              -111.22710807265382,\n              40.11254751287345\n            ],\n            [\n              -110.99003394519956,\n              40.11254751287345\n            ],\n            [\n              -110.99003394519956,\n              40.25870616179648\n            ],\n            [\n              -111.22710807265382,\n              40.25870616179648\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"79","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thiede, Gary P.","contributorId":354395,"corporation":false,"usgs":false,"family":"Thiede","given":"Gary P.","affiliations":[{"id":84621,"text":"Department of Watershed Sciences","active":true,"usgs":false}],"preferred":false,"id":935561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapman, Kevin","contributorId":354396,"corporation":false,"usgs":false,"family":"Chapman","given":"Kevin","affiliations":[{"id":84621,"text":"Department of Watershed Sciences","active":true,"usgs":false}],"preferred":false,"id":935562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howe, Frank P.","contributorId":354397,"corporation":false,"usgs":false,"family":"Howe","given":"Frank P.","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":935563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230642,"text":"70230642 - 2022 - How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","interactions":[],"lastModifiedDate":"2022-11-16T16:22:12.894355","indexId":"70230642","displayToPublicDate":"2022-02-16T09:42:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How similar was the 1983 <i>M</i><sub>w</sub> 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","title":"How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","docAbstract":"<p><span>We excavated trenches at two paleoseismic sites bounding a trans-basin bedrock ridge (the Willow Creek Hills) along the northern Lost River fault zone to explore the uniqueness of the 1983&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;6.9 Borah Peak earthquake compared to its prehistoric predecessors. At the Sheep Creek site on the southernmost Warm Springs section, two earthquakes occurred at 9.8−14.0 ka (95% confidence) and 6.5−7.1 ka; each had ∼1.9 m of vertical displacement. About 4 km to the southeast, across the Willow Creek Hills, two ruptures at the Arentson Gulch site on the northernmost Thousand Springs section occurred at 9.0−14.7 ka and 6.1−7.5 ka with ∼1.9 m of vertical displacement each. We synthesize these and previous paleoseismic results into a model of five postglacial (&lt;15 ka) ruptures along a ∼65 km reach of the northern Lost River fault zone. Our results show that the Borah Peak earthquake (34 km; 0.9 m mean displacement) was unique compared to previous ruptures that had both longer and shorter rupture lengths (∼25−38 km), more displacement (mean of ∼1.3−1.4 m), and equal or greater magnitude (</span><i>M</i><sub>w</sub><span>&nbsp;6.9−7.1) than that in the 1983 earthquake. These ruptures support a hypothesis of variable rupture length and displacement on the northern Lost River fault zone and show that predecessors to the 1983 rupture have passed unimpeded through the Willow Creek Hills. Our work demonstrates that normal faults are capable of producing variable spatial-temporal patterns of rupture that, together with comparisons of fault geometry and historical rupture length, improve our understanding of fault segmentation and help inform models of earthquake rupture probability.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36144.1","usgsCitation":"DuRoss, C., Briggs, R.W., Gold, R.D., Hatem, A.E., Elliott, A.J., Delano, J., Medina-Cascales, I., Gray, H., Mahan, S.A., Nicovich, S., Lifton, Z., Kleber, E.J., McDonald, G.N., Hiscock, A., Bunds, M., and Reitman, N.G., 2022, How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?: Geological Society of America Bulletin, v. 134, no. 11-12, p. 2767-2789, https://doi.org/10.1130/B36144.1.","productDescription":"23 p.","startPage":"2767","endPage":"2789","ipdsId":"IP-132673","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":448759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Supplemental_Material_How_similar_was_the_1983_Mw_6_9_Borah_Peak_earthquake_rupture_to_its_surface-faulting_predecessors_along_the_northern_Lost_River_fault_zone_Idaho_USA_/18287984","text":"External Repository"},{"id":399084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"northern Lost River fault zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114,\n              44\n            ],\n            [\n              -112,\n              44\n            ],\n            [\n              -112,\n              43\n            ],\n            [\n              -114,\n              43\n            ],\n            [\n              -114,\n              44\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"134","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2022-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elliott, Austin John 0000-0001-5924-7268","orcid":"https://orcid.org/0000-0001-5924-7268","contributorId":248824,"corporation":false,"usgs":true,"family":"Elliott","given":"Austin","email":"","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":840966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":840967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Medina-Cascales, Ivan","contributorId":290418,"corporation":false,"usgs":false,"family":"Medina-Cascales","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":840968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":840969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":840970,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicovich, Sylvia","contributorId":210054,"corporation":false,"usgs":false,"family":"Nicovich","given":"Sylvia","affiliations":[{"id":38060,"text":"Department of Earth Sciences, Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":840971,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lifton, Zachery","contributorId":290420,"corporation":false,"usgs":false,"family":"Lifton","given":"Zachery","email":"","affiliations":[],"preferred":false,"id":840972,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kleber, Emily J.","contributorId":254373,"corporation":false,"usgs":false,"family":"Kleber","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":840973,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDonald, Greg N.","contributorId":198715,"corporation":false,"usgs":false,"family":"McDonald","given":"Greg","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":840974,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hiscock, Adam","contributorId":195215,"corporation":false,"usgs":false,"family":"Hiscock","given":"Adam","affiliations":[],"preferred":false,"id":840975,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bunds, Mike","contributorId":290422,"corporation":false,"usgs":false,"family":"Bunds","given":"Mike","affiliations":[],"preferred":false,"id":840976,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840977,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70228757,"text":"70228757 - 2022 - Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA","interactions":[],"lastModifiedDate":"2022-02-18T15:26:51.293021","indexId":"70228757","displayToPublicDate":"2022-02-16T09:19:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA","docAbstract":"<p><span>Although rivers are of immense practical, aesthetic, and recreational value, these aquatic habitats are particularly sensitive to environmental changes. Increasingly, changes in streamflow and water quality are resulting in blooms of bottom-attached (benthic) algae, also known as periphyton, which have become widespread in many water bodies of US national parks. Because these blooms degrade visitor experiences and threaten human and ecosystem health, improved methods of characterizing benthic algae are needed. This study evaluated the potential utility of remote sensing techniques for mapping variations in algal density in shallow, clear-flowing rivers. As part of an initial proof-of-concept investigation, field measurements of water depth and percent cover of benthic algae were collected from two reaches of the Buffalo National River along with aerial photographs and multispectral satellite images. Applying a band ratio algorithm to these data yielded reliable depth estimates, although a shallow bias and moderate level of precision were observed. Spectral distinctions among algal percent cover values ranging from 0 to 100% were subtle and became only slightly more pronounced when the data were aggregated to four ordinal levels. A bagged trees machine learning model trained using the original spectral bands and image-derived depth estimates as predictor variables was used to produce classified maps of algal density. The spatial and temporal patterns depicted in these maps were reasonable but overall classification accuracies were modest, up to 64.6%, due to a lack of spectral detail. To further advance remote sensing of benthic algae and other periphyton, future studies could adopt hyperspectral approaches and more quantitative, continuous metrics such as biomass.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs14040953","usgsCitation":"Legleiter, C.J., and Hodges, S.W., 2022, Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA: Remote Sensing, v. 14, no. 4, 953, 28 p., https://doi.org/10.3390/rs14040953.","productDescription":"953, 28 p.","ipdsId":"IP-136035","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":448762,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14040953","text":"Publisher Index Page"},{"id":435963,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J5QXDJ","text":"USGS data release","linkHelpText":"Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August 2021"},{"id":396175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.438720703125,\n              35.917971791312816\n            ],\n            [\n              -92.00225830078125,\n              35.917971791312816\n            ],\n            [\n              -92.00225830078125,\n              36.22876574685929\n            ],\n            [\n              -93.438720703125,\n              36.22876574685929\n            ],\n            [\n              -93.438720703125,\n              35.917971791312816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":835333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodges, Shawn W 0000-0002-8950-7232","orcid":"https://orcid.org/0000-0002-8950-7232","contributorId":279667,"corporation":false,"usgs":false,"family":"Hodges","given":"Shawn","email":"","middleInitial":"W","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":835334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70229665,"text":"70229665 - 2022 - Managing multiple species with conflicting needs in the Greater Everglades","interactions":[],"lastModifiedDate":"2023-06-09T13:50:36.683544","indexId":"70229665","displayToPublicDate":"2022-02-16T08:10:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Managing multiple species with conflicting needs in the Greater Everglades","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">Given limited funding, natural resources decision making is riddled with tradeoffs, including which species or landscapes to prioritize for management action. Florida’s Everglades wetland is home to numerous indicator species, some of which are endangered. But with a multitude of species comes differing hydrologic requirements to yield appropriate foraging and breeding conditions for each. The Everglades ecosystem is highly managed, with water being moved across the landscape to meet the habitat and reproductive needs of species of concern. Predictive modeling can help water managers understand potential consequences to targeted water conditions. EverForecast is a novel spatially explicit, hydrologic, and ecological operational forecast developed to inform conservation management decisions. Not only does EverForecast provide probable near-term water conditions, but also predicted species responses to those hydrologic conditions. Using examples from two focal regions of the Everglades, we show the magnitude of impacts to a suite of species and an almost 70% decline in suitable conditions for one species when prioritizing water management to meet the needs of another species. Although EverForecast is a relatively new decision support tool, its hydrologic outputs are already commonly used to make water management recommendations because it provides near-term hydrologic forecasts that scientists and managers need for water operations decision making. Because species management decisions have historically been made to target a single species at a time, it may take longer for full utility of EverForecast’s ability to quantify tradeoffs among species to become integrated into decision making.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ecolind.2022.108669","usgsCitation":"Romanach, S., Haider, S., Hackett, C.E., McKelvy, M., and Pearlstine, L.G., 2022, Managing multiple species with conflicting needs in the Greater Everglades: Ecological Indicators, v. 136, 108669, 9 p.; Data Release, https://doi.org/10.1016/j.ecolind.2022.108669.","productDescription":"108669, 9 p.; Data Release","ipdsId":"IP-133633","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448765,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108669","text":"Publisher Index Page"},{"id":397054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417847,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NW74W6"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.7657470703125,\n              25.08062377244484\n            ],\n            [\n              -80.1177978515625,\n              25.08062377244484\n            ],\n            [\n              -80.1177978515625,\n              26.740704807127834\n            ],\n            [\n              -81.7657470703125,\n              26.740704807127834\n            ],\n            [\n              -81.7657470703125,\n              25.08062377244484\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"136","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackett, Caitlin E. 0000-0003-3934-4321","orcid":"https://orcid.org/0000-0003-3934-4321","contributorId":261435,"corporation":false,"usgs":true,"family":"Hackett","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKelvy, Mark 0000-0001-5465-2571 mckelvym@usgs.gov","orcid":"https://orcid.org/0000-0001-5465-2571","contributorId":4865,"corporation":false,"usgs":true,"family":"McKelvy","given":"Mark","email":"mckelvym@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":837870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240714,"text":"70240714 - 2022 - MASTREE+: Time-series of plant reproductive effort from six continents","interactions":[],"lastModifiedDate":"2023-02-16T15:49:21.630648","indexId":"70240714","displayToPublicDate":"2022-02-16T08:07:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"MASTREE+: Time-series of plant reproductive effort from six continents","docAbstract":"<p><span>Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10&nbsp;years respectively, and the data set includes 1122 series that extend over at least two decades (≥20&nbsp;years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16130","usgsCitation":"Hacket-Pain, A., Foest, J., Pearse, I.S., LaMontagne, J., Koenig, W.D., Vacchiano, G., Bogdziewicz, M., Caignard, T., Celebias, P., Van Dormolen, J., Fernandez-Martinez, M., Moris, J.V., Palaghianu, C., Pesendorfer, M.B., Satake, A., Schermer, E., Tanentzap, A., Thomas, P., Vecchio, D., Wion, A.P., Wohlgemuth, T., Xue, T., Abernethy, K., Aravena Acuna, M., Barrera, M.D., Barton, J.H., Boutin, S., Bush, E.R., Donoso Calderon, S., Carevic, F., Volkmer de Castilho, C., Cellini, J.M., Chapman, C.A., Chapman, H., Chianucci, F., da Costa, P., Croise, L., Cutini, A., Dantzer, B., DeRose, R., Dikangadissi, J., Dimoto, E., Lopes da Fonseca, F., Gallo, L., Gratzer, G., Greene, D.F., Hadad, M.A., Huertas 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,{"id":70228769,"text":"70228769 - 2022 - Genomically diverse carbapenem resistant Enterobacteriaceae from wild birds provide insight into global patterns of spatiotemporal dissemination","interactions":[],"lastModifiedDate":"2022-02-18T13:17:19.995216","indexId":"70228769","displayToPublicDate":"2022-02-16T07:15:39","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}},"title":"Genomically diverse carbapenem resistant Enterobacteriaceae from wild birds provide insight into global patterns of spatiotemporal dissemination","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0035\">Carbapenem resistant<span>&nbsp;</span><i>Enterobacteriaceae</i><span>&nbsp;</span>(CRE) are a threat to public health globally, yet the role of the environment in the epidemiology of CRE remains elusive. Given that wild birds can acquire CRE, likely from foraging in anthropogenically impacted areas, and may aid in the maintenance and dissemination of CRE in the environment, a spatiotemporal comparison of isolates from different regions and timepoints may be useful for elucidating epidemiological information. Thus, we characterized the genomic diversity of CRE from fecal samples opportunistically collected from gulls (<i>Larus</i><span>&nbsp;</span>spp.) inhabiting Alaska (USA), Chile, Spain, Turkey, and Ukraine and from black kites (<i>Milvus migrans</i>) sampled in Pakistan and assessed evidence for spatiotemporal patterns of dissemination. Within and among sampling locations, a high diversity of carbapenemases was found, including<span>&nbsp;</span><span><i>Klebsiella</i><i>&nbsp;pneumoniae</i></span><span>&nbsp;</span>carbapenemase (KPC), New Delhi metallo-beta-lactamase (NDM), oxacillinase (OXA), and Verona integron Metallo beta-lactamase (VIM). Although the majority of genomic comparisons among samples did not provide evidence for spatial dissemination, we did find strong evidence for dissemination among Alaska, Spain, and Turkey. We also found strong evidence for temporal dissemination among samples collected in Alaska and Pakistan, though the majority of CRE clones were transitory and were not repeatedly detected among locations where samples were collected longitudinally. Carbapenemase-producing hypervirulent<span>&nbsp;</span><i>K. pneumoniae</i><span>&nbsp;was isolated from gulls in Spain and Ukraine and some isolates harbored antimicrobial resistance genes conferring resistance to up to 10 different antibiotic classes, including colistin. Our results are consistent with local acquisition of CRE by wild birds with spatial dissemination influenced by intermediary transmission routes, likely involving humans. Furthermore, our results support the premise that anthropogenically-associated wild birds may be good&nbsp;sentinels&nbsp;for understanding the burden of clinically-relevant antimicrobial resistance in the local human population.</span></p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.153632","usgsCitation":"Ahlstrom, C., Woksepp, H., Sandegren, L., Mohsin, M., Hasan, B., Muzyka, D., Hernandez, J., Aguirre, F., Tok, A., Soderman, J., Olsen, B., Ramey, A.M., and Bonnedahl, J., 2022, Genomically diverse carbapenem resistant Enterobacteriaceae from wild birds provide insight into global patterns of spatiotemporal dissemination: Science of the Total Environment, v. 824, 153632, 11 p., https://doi.org/10.1016/j.scitotenv.2022.153632.","productDescription":"153632, 11 p.","ipdsId":"IP-133221","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":448776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.153632","text":"Publisher Index Page"},{"id":396164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"824","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":835362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woksepp, Hanna","contributorId":207263,"corporation":false,"usgs":false,"family":"Woksepp","given":"Hanna","email":"","affiliations":[],"preferred":false,"id":835363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sandegren, Linus","contributorId":279688,"corporation":false,"usgs":false,"family":"Sandegren","given":"Linus","email":"","affiliations":[{"id":57339,"text":"Department of Medical Biochemistry and Microbiology, Infection biology, antimicrobial resistance and immunology, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":835364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mohsin, Mashkoor","contributorId":279689,"corporation":false,"usgs":false,"family":"Mohsin","given":"Mashkoor","email":"","affiliations":[{"id":57342,"text":"Institute of Microbiology, University of Agriculture Faisalabad","active":true,"usgs":false}],"preferred":false,"id":835365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hasan, Badrul","contributorId":279690,"corporation":false,"usgs":false,"family":"Hasan","given":"Badrul","email":"","affiliations":[{"id":57339,"text":"Department of Medical Biochemistry and Microbiology, Infection biology, antimicrobial resistance and immunology, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":835366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muzyka, Denys","contributorId":167372,"corporation":false,"usgs":false,"family":"Muzyka","given":"Denys","email":"","affiliations":[],"preferred":false,"id":835367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hernandez, Jorge","contributorId":203652,"corporation":false,"usgs":false,"family":"Hernandez","given":"Jorge","affiliations":[{"id":36674,"text":"Department of Microbiology, Kalmar County Hospital, Kalmar, Sweden","active":true,"usgs":false}],"preferred":false,"id":835368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Aguirre, Filip","contributorId":279691,"corporation":false,"usgs":false,"family":"Aguirre","given":"Filip","email":"","affiliations":[{"id":57343,"text":"Department of Clinical Microbiology, Kalmar County Hospital","active":true,"usgs":false}],"preferred":false,"id":835369,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tok, Atalay","contributorId":279692,"corporation":false,"usgs":false,"family":"Tok","given":"Atalay","email":"","affiliations":[{"id":57344,"text":"Zoonosis Science Center, Department of Medical Sciences, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":835370,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soderman, Jan","contributorId":279693,"corporation":false,"usgs":false,"family":"Soderman","given":"Jan","email":"","affiliations":[{"id":57345,"text":"Laboratory Medicine, Jönköping, Region Jönköping County, and Department of Clinical and Experimental Medicine, Linköping University","active":true,"usgs":false}],"preferred":false,"id":835371,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Olsen, Bjorn","contributorId":279694,"corporation":false,"usgs":false,"family":"Olsen","given":"Bjorn","affiliations":[{"id":57344,"text":"Zoonosis Science Center, Department of Medical Sciences, Uppsala University","active":true,"usgs":false}],"preferred":false,"id":835372,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":835373,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":835374,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70240948,"text":"70240948 - 2022 - Quantitative meta-analysis reveals no association between mercury contamination and body condition in birds","interactions":[],"lastModifiedDate":"2023-03-02T13:08:41.273057","indexId":"70240948","displayToPublicDate":"2022-02-16T07:06:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative meta-analysis reveals no association between mercury contamination and body condition in birds","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Mercury contamination is a major threat to the global environment, and is still increasing in some regions despite international regulations. The methylated form of mercury is hazardous to biota, yet its sublethal effects are difficult to detect in wildlife. Body condition can vary in response to stressors, but previous studies have shown mixed effects of mercury on body condition in wildlife. Using birds as study organisms, we provide the first quantitative synthesis of the effect of mercury on body condition in animals. In addition, we explored the influence of intrinsic, extrinsic and methodological factors potentially explaining cross-study heterogeneity in results. We considered experimental and correlative studies carried out in adult birds and chicks, and mercury exposure inferred from blood and feathers. Most experimental investigations (90%) showed a significant relationship between mercury concentrations and body condition. Experimental exposure to mercury disrupted nutrient (fat) metabolism, metabolic rates, and food intake, resulting in either positive or negative associations with body condition. Correlative studies also showed either positive or negative associations, of which only 14% were statistically significant. Therefore, the overall effect of mercury concentrations on body condition was null in both experimental (estimate&nbsp;±&nbsp;SE&nbsp;=&nbsp;0.262&nbsp;± 0.309, 20 effect sizes, five species) and correlative studies (−0.011&nbsp;± 0.020, 315 effect sizes, 145 species). The single and interactive effects of age class and tissue type were accounted for in meta-analytic models of the correlative data set, since chicks and adults, as well as blood and feathers, are known to behave differently in terms of mercury accumulation and health effects. Of the 15 moderators tested, only wintering status explained cross-study heterogeneity in the correlative data set: free-ranging wintering birds were more likely to show a negative association between mercury and body condition. However, wintering effect sizes were limited to passerines, further studies should thus confirm this trend in other taxa. Collectively, our results suggest that (<i>i</i>) effects of mercury on body condition are weak and mostly detectable under controlled conditions, and (<i>ii</i>) body condition indices are unreliable indicators of mercury sublethal effects in the wild. Food availability, feeding rates and other sources of variation that are challenging to quantify likely confound the association between mercury and body condition<span>&nbsp;</span><i>in natura</i>. Future studies could explore the metabolic effects of mercury further using designs that allow for the estimation and/or manipulation of food intake in both wild and captive birds, especially in under-represented life-history stages such as migration and overwintering.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/brv.12840","usgsCitation":"Carravieri, A., Vincze, O., Bustamante, P., Ackerman, J.T., Adams, E.M., Angelier, F., Chastel, O., Cherel, Y., Gilg, O., Golubova, E., Kitaysky, A., Luff, K., Seewagen, C.L., Strom, H., Will, A.P., Yannic, G., Giraudeau, M., and Fort, J., 2022, Quantitative meta-analysis reveals no association between mercury contamination and body condition in birds: Biological Reviews, v. 97, no. 4, p. 1253-1271, https://doi.org/10.1111/brv.12840.","productDescription":"19 p.","startPage":"1253","endPage":"1271","ipdsId":"IP-131356","costCenters":[{"id":651,"text":"Western Ecological Research 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,{"id":70230503,"text":"70230503 - 2022 - Conterminous United States land-cover change (1985-2016): New insights from annual time series","interactions":[],"lastModifiedDate":"2022-04-14T11:43:52.643141","indexId":"70230503","displayToPublicDate":"2022-02-16T06:37:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Conterminous United States land-cover change (1985-2016): New insights from annual time series","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Sample-based estimates augmented by complete coverage land-cover maps were used to estimate area and describe patterns of annual land-cover change across the conterminous United States (CONUS) between 1985 and 2016. Most of the CONUS land cover remained stable in terms of net class change over this time, but a substantial gross change dynamic was captured by the annual and cumulative time intervals. The dominant types of changes can be grouped into natural resource cycles, increases in urbanization, and surface-water dynamics. The annual estimates over the 30-year time series showed a reduction in the rate of urban expansion after 2006, new growth in cropland after 2007, but a net overall decline in cropland since 1985, and two eras of net tree cover loss, the first one early in the time series and the second starting in 2012. Our study provides a holistic assessment of the CONUS land-cover conversion (class) change and can serve as a new benchmark for future research.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/land11020298","usgsCitation":"Auch, R.F., Wellington, D.F., Taylor, J.L., Stehman, S.V., Tollerud, H.J., Brown, J.F., Loveland, T., Pengra, B., Horton, J., Zhu, Z., Midekisa, A., Sayler, K., Xian, G.Z., Barnes, C., and Reker, R.R., 2022, Conterminous United States land-cover change (1985-2016): New insights from annual time series: Land, v. 11, no. 2, 298, 20 p., https://doi.org/10.3390/land11020298.","productDescription":"298, 20 p.","ipdsId":"IP-127591","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":448783,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land11020298","text":"Publisher Index 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\"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wellington, Danika Fay 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":225199,"corporation":false,"usgs":true,"family":"Wellington","given":"Danika","email":"","middleInitial":"Fay","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Janis L. 0000-0002-9418-5215 jltaylor@usgs.gov","orcid":"https://orcid.org/0000-0002-9418-5215","contributorId":147371,"corporation":false,"usgs":true,"family":"Taylor","given":"Janis","email":"jltaylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stehman, Stephen V. 0000-0001-5234-2027","orcid":"https://orcid.org/0000-0001-5234-2027","contributorId":216812,"corporation":false,"usgs":false,"family":"Stehman","given":"Stephen","email":"","middleInitial":"V.","affiliations":[{"id":39524,"text":"College of Environmental Science and Forestry, State University of New York, Syracuse, NY 13210, USA","active":true,"usgs":false}],"preferred":false,"id":840613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tollerud, Heather J. 0000-0001-9507-4456","orcid":"https://orcid.org/0000-0001-9507-4456","contributorId":210820,"corporation":false,"usgs":true,"family":"Tollerud","given":"Heather","email":"","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loveland, Thomas 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140611,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pengra, Bruce 0000-0003-2497-8284 bpengra@usgs.gov","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":5132,"corporation":false,"usgs":true,"family":"Pengra","given":"Bruce","email":"bpengra@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840617,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Horton, Josephine 0000-0001-8436-4095","orcid":"https://orcid.org/0000-0001-8436-4095","contributorId":216813,"corporation":false,"usgs":true,"family":"Horton","given":"Josephine","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840618,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhu, Zhe 0000-0001-8283-6407 zhezhu@usgs.gov","orcid":"https://orcid.org/0000-0001-8283-6407","contributorId":168792,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhe","email":"zhezhu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840619,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Midekisa, Alemayehu 0000-0003-2558-6952","orcid":"https://orcid.org/0000-0003-2558-6952","contributorId":192416,"corporation":false,"usgs":true,"family":"Midekisa","given":"Alemayehu","email":"","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":840620,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840621,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840622,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Barnes, Christopher 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":198908,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher","email":"christopher.barnes.ctr@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":840623,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":840624,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70228217,"text":"cir1483 - 2022 - Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin","interactions":[],"lastModifiedDate":"2022-07-19T20:40:06.156084","indexId":"cir1483","displayToPublicDate":"2022-02-15T17:20:41","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1483","displayTitle":"Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin","title":"Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin","docAbstract":"<p>The U.S. Geological Survey (USGS) Rocky Mountain Region (RMR) hosted USGS scientists, managers, program coordinators, and leadership team members for a virtual Science Exchange during September 15–17, 2020. The Science Exchange had 216 registered participants and included 48 talks over the 3-day period. Invited speakers presented information about the novel USGS Earth Monitoring, Analysis, and Prediction (EarthMAP) concept. Scientists in the RMR and other regions showcased their research and participated in discussions related to the EarthMAP concept and EarthMAP applications. In addition, the Colorado River Basin Pilot Project, the first formal EarthMAP pilot project, was unveiled during the Science Exchange. Many of the products designed during the RMR Science Exchange were done so with the EarthMAP – Colorado River Basin Pilot Project in mind. This report summarizes the organization and objectives of the Science Exchange, highlights key points from session presentations, panel discussions, and breakout sessions, and, most importantly, discusses momentum generated for the EarthMAP – Colorado River Basin Pilot Project.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1483","usgsCitation":"Tillery, A.C., Anderson, P.J., Andrews, W.J., Dahm, K., Haines, S.S., Horton, R.J., O’Leary, D., Taylor, R.D., Thomas, K.A., and Torregrosa, A., 2022, Rocky Mountain Region Science Exchange 2020—EarthMAP and the Colorado River Basin: U.S. Geological Survey Circular 1483, 10 p., https://doi.org/10.3133/cir1483.","productDescription":"vi, 10 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-125996","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":395585,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1483/cir1483.pdf","text":"Report","size":"6.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1483"},{"id":395584,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1483/coverthb.jpg"}],"country":"Mexico, United States","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.00488281250001,\n              32.65787573695528\n            ],\n            [\n              -114.78515624999999,\n              31.840232667909365\n            ],\n            [\n              -113.99414062499999,\n              31.541089879585808\n            ],\n            [\n              -113.2470703125,\n              31.015278981711266\n            ],\n            [\n              -112.0166015625,\n              30.14512718337613\n            ],\n            [\n              -110.654296875,\n              29.878755346037977\n            ],\n            [\n              -109.86328125,\n              29.99300228455108\n            ],\n            [\n              -108.720703125,\n              30.600093873550072\n            ],\n            [\n              -108.28125,\n              31.653381399664\n            ],\n            [\n              -108.28125,\n              32.54681317351514\n            ],\n            [\n              -107.9736328125,\n              33.87041555094183\n            ],\n            [\n              -107.40234375,\n              34.23451236236987\n            ],\n            [\n              -106.9189453125,\n              35.88905007936091\n            ],\n            [\n              -106.69921875,\n              36.35052700542763\n            ],\n            [\n              -106.3916015625,\n              37.23032838760387\n            ],\n            [\n              -106.3916015625,\n              38.272688535980976\n            ],\n            [\n              -106.3916015625,\n              39.13006024213511\n            ],\n            [\n              -106.12792968749999,\n              40.84706035607122\n            ],\n            [\n              -106.3037109375,\n              41.47566020027821\n            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    -111.533203125,\n              37.68382032669382\n            ],\n            [\n              -112.19238281249999,\n              37.43997405227057\n            ],\n            [\n              -113.203125,\n              37.3002752813443\n            ],\n            [\n              -114.2138671875,\n              37.37015718405753\n            ],\n            [\n              -114.521484375,\n              38.20365531807149\n            ],\n            [\n              -115.13671875,\n              38.51378825951165\n            ],\n            [\n              -115.400390625,\n              37.16031654673677\n            ],\n            [\n              -115.1806640625,\n              35.92464453144099\n            ],\n            [\n              -114.82910156249999,\n              34.994003757575776\n            ],\n            [\n              -114.697265625,\n              33.7243396617476\n            ],\n            [\n              -115.00488281250001,\n              32.65787573695528\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/unified-interior-regions/region-7/science/colorado-river-basin-building-advanced-strategic?qt-science_%20center_objects=0#qt-science_center_objects\" data-mce-href=\"https://www.usgs.gov/unified-interior-regions/region-7/science/colorado-river-basin-building-advanced-strategic?qt-science_%20center_objects=0#qt-science_center_objects\">Region 7 - Upper Colorado Basin</a><br>U.S. Geological Survey<br>P.O. Box 25046, MS 911<br>Denver, CO 80225–0046<strong><br><br></strong></p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Summary and Outcomes</li><li>Looking Forward—Colorado River Basin Pilot Project and Science Exchange Momentum</li><li>Measures of Success</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2022-02-15","noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833448,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, William J. 0000-0003-4780-8835 wandrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4780-8835","contributorId":328,"corporation":false,"usgs":true,"family":"Andrews","given":"William","email":"wandrews@usgs.gov","middleInitial":"J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dahm, Katharine 0000-0002-4024-8110","orcid":"https://orcid.org/0000-0002-4024-8110","contributorId":147205,"corporation":false,"usgs":false,"family":"Dahm","given":"Katharine","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":833451,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":833452,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horton, Robert 0000-0001-5578-3733 rhorton@usgs.gov","orcid":"https://orcid.org/0000-0001-5578-3733","contributorId":612,"corporation":false,"usgs":true,"family":"Horton","given":"Robert","email":"rhorton@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":833453,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Leary, David 0000-0001-9888-1739 doleary@usgs.gov","orcid":"https://orcid.org/0000-0001-9888-1739","contributorId":139900,"corporation":false,"usgs":true,"family":"O’Leary","given":"David","email":"doleary@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":833454,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":245004,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan","email":"","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":833455,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":833456,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":833457,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70262415,"text":"70262415 - 2022 - Effects of seasonal hypoxia on macroinvertebrate communities in a small reservoir","interactions":[],"lastModifiedDate":"2025-01-22T17:10:58.596697","indexId":"70262415","displayToPublicDate":"2022-02-15T10:57:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19914,"text":"Lakes & Reservoirs","active":true,"publicationSubtype":{"id":10}},"title":"Effects of seasonal hypoxia on macroinvertebrate communities in a small reservoir","docAbstract":"Localized hypoxia can reduce available habitat, restrict movement and limit the abundance of aquatic invertebrates. Cultural eutrophication coupled with the effects of climate change is likely to increase the frequency and extent of hypoxia in aquatic ecosystems, yet little is known about how oxygen gradients in small reservoirs influence spatial distribution and abundance of aquatic invertebrates. We evaluated the effects of environmental and biological attributes on seasonal and spatial variation of macroinvertebrates and explored how hypoxic conditions influenced littoral, benthic and pelagic macroinvertebrate communities in Lake Alvin, South Dakota.  We collected data on reservoir conditions in conjunction with macroinvertebrate sampling from May to October, 2009-2011 and applied an information theoretic approach to evaluate factors affecting invertebrate abundance. Hypoxic conditions were present from May to September in the lacustrine zone impacting 10─39% of the water column.  Benthic invertebrates were typically absent from the lacustrine zone during periods of severe hypoxia and were most abundant in the shallow, well-oxygenated riverine zone.  Littoral invertebrates were negatively related to percent of the water column that was hypoxic suggesting that fish, confined to shallow water by hypoxia, may be consuming a larger portion of littoral invertebrates in their diets. Cladocera and Copepoda densities were influenced primarily by water depth and monthly precipitation. The larger size of Daphnia found in the hypoxic-prone transitional and lacustrine zones suggest that low oxygen concentration may provide a refuge from fish predation. This study demonstrated that spatial variation in near-bottom oxygen concentrations were important predictors of macroinvertebrate and zooplankton abundance and size structure in Lake Alvin and that macroinvertebrates, particularly benthic and littoral invertebrates, could benefit from measures taken to reduce summer hypoxia.","language":"English","publisher":"Wiley","doi":"10.1111/lre.12395","usgsCitation":"Lucchesi, D., Chipps, S.R., and Schumann, D., 2022, Effects of seasonal hypoxia on macroinvertebrate communities in a small reservoir: Lakes & Reservoirs, v. 37, no. 1, e12395, 14 p., https://doi.org/10.1111/lre.12395.","productDescription":"e12395, 14 p.","ipdsId":"IP-125311","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/lre.12395","text":"Publisher Index Page"},{"id":480937,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Lake Alvin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.60928829462861,\n              43.443597644025175\n            ],\n            [\n              -96.63503902162772,\n              43.443597644025175\n            ],\n            [\n              -96.63503902162772,\n              43.43071094426924\n            ],\n            [\n              -96.60928829462861,\n              43.43071094426924\n            ],\n            [\n              -96.60928829462861,\n              43.443597644025175\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucchesi, David O.","contributorId":349216,"corporation":false,"usgs":false,"family":"Lucchesi","given":"David O.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":924146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumann, David A.","contributorId":349217,"corporation":false,"usgs":false,"family":"Schumann","given":"David A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":924147,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230279,"text":"70230279 - 2022 - Hydrologic modification and channel evolution degrades connectivity on the Atchafalaya River floodplain","interactions":[],"lastModifiedDate":"2022-06-16T15:25:44.019773","indexId":"70230279","displayToPublicDate":"2022-02-15T08:55:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic modification and channel evolution degrades connectivity on the Atchafalaya River floodplain","docAbstract":"<p><span>The Atchafalaya River Basin is the largest remaining forested wetland in the contiguous United States. Since 1960, dredging and channel erosion in the Basin have resulted in changes to the hydrologic connectivity that have not been quantified. Analyses were conducted to determine the hydraulic and geomorphic factors that have changed since discharge became controlled that may have decreased river/floodplain connectivity. We examined: (1) stage/discharge relationships from 1960 to 2014; (2) hydroperiods across the floodplain; (3) discharge distribution to the floodplain by comparing discharge measurements from 1959–1968 to 2005–2012; and (4) channel cross-sections and floodplain elevations. Our results indicate that much of the floodplain no longer receives headwater discharge (upstream to downstream, &gt; 200 km</span><sup>2</sup><span>) or receives too little discharge to alleviate stagnancy and hypoxia in the forested wetland at lower stages. Large portions of the Basin (400 km</span><sup>2</sup><span>) have low water levels controlled by channel geomorphology and sea-level rise that inundate the forested floodplain for more than 50% of the calendar year. This extended duration of inundation contributes to hypoxia and likely reduces nutrient retention. The confinement of discharge to a large efficient channel compromises the ability of this system to respond to sea-level rise and subsidence. This study provides insight to the effects of flood management projects along Coastal Plain rivers and deltas.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5347","usgsCitation":"Kroes, D., Demas, C.R., Allen, Y., Day, R., Roberts, S.W., and Varisco, J., 2022, Hydrologic modification and channel evolution degrades connectivity on the Atchafalaya River floodplain: Earth Surface Processes and Landforms, v. 47, no. 7, p. 1790-1807, https://doi.org/10.1002/esp.5347.","productDescription":"18 p.","startPage":"1790","endPage":"1807","ipdsId":"IP-094587","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":448787,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5347","text":"Publisher Index Page"},{"id":435966,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94GULXE","text":"USGS data release","linkHelpText":"Mean bed elevations of waterbodies on the Atchafalaya River floodplain"},{"id":398209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.09814453125,\n              29.36302703778376\n            ],\n            [\n              -90.977783203125,\n              29.36302703778376\n            ],\n            [\n              -90.977783203125,\n              31.956823015897207\n            ],\n            [\n              -93.09814453125,\n              31.956823015897207\n            ],\n            [\n              -93.09814453125,\n              29.36302703778376\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":839850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demas, Charles R","contributorId":289813,"corporation":false,"usgs":false,"family":"Demas","given":"Charles","email":"","middleInitial":"R","affiliations":[{"id":38437,"text":"Retired, U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":839851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Yvonne A.","contributorId":289815,"corporation":false,"usgs":false,"family":"Allen","given":"Yvonne A.","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":839852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":222817,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Steve W","contributorId":289819,"corporation":false,"usgs":false,"family":"Roberts","given":"Steve","email":"","middleInitial":"W","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":839854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Varisco, Jeff","contributorId":289821,"corporation":false,"usgs":false,"family":"Varisco","given":"Jeff","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":839855,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70230910,"text":"70230910 - 2022 - Premature mortality observations among Alaska’s Pacific salmon during record heat and drought in 2019","interactions":[],"lastModifiedDate":"2022-04-28T13:46:48.469102","indexId":"70230910","displayToPublicDate":"2022-02-15T08:44:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Premature mortality observations among Alaska’s Pacific salmon during record heat and drought in 2019","docAbstract":"<p><span>Widespread mortality of Pacific salmon&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;spp. returning to spawn in Alaska coincided with record-breaking air temperatures and prolonged drought in summer 2019. Extreme environmental conditions are expected to happen more frequently with rapid climate change and challenge the notion that Alaska could indefinitely provide abundant, cool freshwater habitat for Pacific salmon. A total of 110 geographically widespread opportunistic observations of premature mortality (carcasses) were collected from a variety of sources. Premature mortalities were documented for Pink Salmon&nbsp;</span><i>Oncorhynchus gorbuscha</i><span>, Sockeye Salmon&nbsp;</span><i>O. nerka</i><span>, Chum Salmon&nbsp;</span><i>O. keta</i><span>, Chinook Salmon&nbsp;</span><i>O. tshawytscha</i><span>, and Coho Salmon&nbsp;</span><i>O. kisutch</i><span>. Additionally, observations of Pink Salmon returning to spawn in Prince William Sound streams in 2019, obtained from systematic aerial surveys conducted annually, revealed low migration success in 87% of rain-driven streams (</span><i>n&nbsp;=&nbsp;</i><span>30), 52% of snow-driven streams (</span><i>n&nbsp;=&nbsp;</i><span>65), and only 18% of glacier-driven streams (</span><i>n&nbsp;=&nbsp;</i><span>11). Salmon mortality observations were consistent with death due to heat stress resulting from high water temperatures or drought caused hypoxia and stranding. Developing a better understanding of how broad-scale climate patterns manifest at the stream scale can help us determine whether a major shift in Pacific salmon productivity is underway and inform fisheries management plans to better mitigate future risks.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10705","usgsCitation":"von Biela, V.R., Sergeant, C.J., Carey, M.P., Liller, Z., Russell, C.M., Quinn-Davidson, S., Rand, P., Westley, P., and Zimmerman, C.E., 2022, Premature mortality observations among Alaska’s Pacific salmon during record heat and drought in 2019: Fisheries, v. 47, no. 4, p. 157-168, https://doi.org/10.1002/fsh.10705.","productDescription":"12 p.","startPage":"157","endPage":"168","ipdsId":"IP-124149","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":435967,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P920AL34","text":"USGS data 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,{"id":70226911,"text":"ofr20211104A - 2022 - Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida","interactions":[{"subject":{"id":70226911,"text":"ofr20211104A - 2022 - Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida","indexId":"ofr20211104A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Potential Effects of Climate Change on Snail Kites (<i>Rostrhamus sociabilis plumbeus</i>) in Florida","title":"Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":1}],"isPartOf":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"lastModifiedDate":"2023-10-23T20:02:06.711898","indexId":"ofr20211104A","displayToPublicDate":"2022-02-15T08:11:16","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1104","chapter":"A","displayTitle":"Potential Effects of Climate Change on Snail Kites (<i>Rostrhamus sociabilis plumbeus</i>) in Florida","title":"Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida","docAbstract":"<p>The snail kite (<i>Rostrhamus sociabilis plumbeus</i>), an endangered, wetland-dependent raptor, is highly sensitive to changes in hydrology. Climate-driven changes in water level will likely affect snail kite populations—altering reproductive success and survival rates. Identifying the mechanisms mediating the direct and indirect effects of climate on snail kite populations and the range of future climate conditions is important to the conservation of this species. When water levels are low, snail kite nest initiation and nest success decrease owing to decreased availability of their primary prey applesnails (<i>Pomacea</i> spp.), unstable nesting sites, and increased predator access. Dry events also lead to decreased adult and juvenile survival. In the next 80 years, temperatures and potential evapotranspiration are projected to increase in central and southern Florida. Although future precipitation volume is more uncertain, increased temperatures and evaporative loss may lead to increased frequency, duration, and severity of low-water events. Additionally, rapidly rising water levels have adverse effects on snail kite reproductive success—destroying nests, preventing access to apple snails, and reducing apple snail productivity. Finally, it is likely that future climate will favor more frequent dry conditions and extreme heavy rainfall events, both of which are directly linked to decreased reproductive success and survival. The potential effects of climate change may be buffered by the availability of alternative prey (non-native applesnails) that are more tolerant of anticipated conditions. In highly controlled southern Florida waterbodies, regional water-management decisions may buffer or exacerbate waterbody accession and recession rates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211104A","usgsCitation":"Lyons, M.P., LeDee, O.E., and Boyles, R., 2021, Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida: U.S. Geological Survey Open-File Report 2021–1104–A, 12 p.,  https://doi.org/10.3133/ofr20211104A.","productDescription":"vi, 12 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-131203","costCenters":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"links":[{"id":393183,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1104/a/images"},{"id":393182,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1104/a/ofr20211104A.XML","size":"75.8 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Avenue<br>St Paul, MN 55108</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Purpose and Scope</li><li>Climatic Context</li><li>Hydrological Context</li><li>Climate Change Projections</li><li>Reproduction and Recruitment</li><li>Survival</li><li>Phenology</li><li>Biotic Interactions</li><li>Habitat</li><li>Management</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2022-02-15","noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, Marta P. 0000-0002-8117-8710 mlyons@usgs.gov","orcid":"https://orcid.org/0000-0002-8117-8710","contributorId":270223,"corporation":false,"usgs":true,"family":"Lyons","given":"Marta","email":"mlyons@usgs.gov","middleInitial":"P.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science 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,{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","interactions":[{"subject":{"id":70226911,"text":"ofr20211104A - 2022 - Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida","indexId":"ofr20211104A","publicationYear":"2022","noYear":false,"chapter":"A","displayTitle":"Potential Effects of Climate Change on Snail Kites (<i>Rostrhamus sociabilis plumbeus</i>) in Florida","title":"Potential effects of climate change on snail kites (Rostrhamus sociabilis plumbeus) in Florida"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":1},{"subject":{"id":70239418,"text":"ofr20211104B - 2023 - Potential effects of climate change on Appalachian stoneflies (<i>Remenus kirchneri</i>, <i>Acroneuria kosztarabi</i>, and <i>Tallaperla lobata</i>)","indexId":"ofr20211104B","publicationYear":"2023","noYear":false,"chapter":"B","displayTitle":"Potential Effects of Climate Change on Appalachian Stoneflies (<i>Remenus kirchneri</i>, <i>Acroneuria kosztarabi</i>, and <i>Tallaperla lobata</i>)","title":"Potential effects of climate change on Appalachian stoneflies (<i>Remenus kirchneri</i>, <i>Acroneuria kosztarabi</i>, and <i>Tallaperla lobata</i>)"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":2},{"subject":{"id":70242022,"text":"ofr20211104C - 2023 - Potential effects of climate change on Ambystoma barbouri (streamside salamander)","indexId":"ofr20211104C","publicationYear":"2023","noYear":false,"chapter":"C","displayTitle":"Potential Effects of Climate Change on <i>Ambystoma barbouri</i> (Streamside Salamander)","title":"Potential effects of climate change on Ambystoma barbouri (streamside salamander)"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":3},{"subject":{"id":70243785,"text":"ofr20211104D - 2023 - Potential effects of climate change on Emydoidea blandingii (Blanding’s turtle)","indexId":"ofr20211104D","publicationYear":"2023","noYear":false,"chapter":"D","displayTitle":"Potential Effects of Climate Change on <i>Emydoidea blandingii</i> (Blanding’s Turtle)","title":"Potential effects of climate change on Emydoidea blandingii (Blanding’s turtle)"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":4},{"subject":{"id":70248051,"text":"ofr20211104E - 2023 - Potential effects of climate change on Acipenser fulvescens (lake sturgeon)","indexId":"ofr20211104E","publicationYear":"2023","noYear":false,"chapter":"E","displayTitle":"Potential Effects of Climate Change on <em>Acipenser fulvescens</em> (Lake Sturgeon)","title":"Potential effects of climate change on Acipenser fulvescens (lake sturgeon)"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":5},{"subject":{"id":70264367,"text":"ofr20211104F - 2025 - Potential effects of sea level rise and high tide flooding on <em>Laterallus jamaicensis jamaicensis</em> (eastern black rail) coastal breeding areas","indexId":"ofr20211104F","publicationYear":"2025","noYear":false,"chapter":"F","displayTitle":"Potential Effects of Sea Level Rise and High Tide Flooding on <em>Laterallus jamaicensis jamaicensis</em> (Eastern Black Rail) Coastal Breeding Areas","title":"Potential effects of sea level rise and high tide flooding on <em>Laterallus jamaicensis jamaicensis</em> (eastern black rail) coastal breeding areas"},"predicate":"IS_PART_OF","object":{"id":70228323,"text":"ofr20211104 - 2022 - Effects of climate change on fish and wildlife species in the United States","indexId":"ofr20211104","publicationYear":"2022","noYear":false,"title":"Effects of climate change on fish and wildlife species in the United States"},"id":6}],"lastModifiedDate":"2023-05-05T14:19:54.745518","indexId":"ofr20211104","displayToPublicDate":"2022-02-15T08:08:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1104","displayTitle":"Effects of Climate Change on Fish and Wildlife Species in the United States","title":"Effects of climate change on fish and wildlife species in the United States","docAbstract":"<h1>About this volume</h1><p><span class=\"TextRun SCXW199727287 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW199727287 BCX0\">This U.S. Geological Survey Open-File Report provides<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">brief<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">syntheses</span><span class=\"NormalTextRun SCXW199727287 BCX0\"><span>&nbsp;</span>of the direct and indirect effects of climate change to priority species and ecosystems in the United States. Each chapter focuses on<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">changes in climate and related<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">e</span><span class=\"NormalTextRun SCXW199727287 BCX0\">ffects to the life cycle</span><span class=\"NormalTextRun SCXW199727287 BCX0\">,<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">interspec</span><span class=\"NormalTextRun SCXW199727287 BCX0\">i</span><span class=\"NormalTextRun SCXW199727287 BCX0\">fic<span>&nbsp;</span></span><span class=\"NormalTextRun SCXW199727287 BCX0\">interactions,</span><span class=\"NormalTextRun SCXW199727287 BCX0\"><span>&nbsp;</span>and habitats of a fish or wildlife species of conservation concern. These reports are independent species-specific summaries of relevant literature, current and historic climate conditions, and future climate projections.</span></span><span class=\"EOP SCXW199727287 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">&nbsp;</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211104","costCenters":[],"links":[{"id":395662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1104/coverthb.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/midwest-casc\" data-mce-href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/midwest-casc\">Midwest Climate Adaptation Science Center</a><br>U.S. Geological Survey<br>1954 Buford Avenue<br>St Paul, MN 55108</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2022-02-15","noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"compilers":[{"text":"Lyons, Marta P. 0000-0002-8117-8710 mlyons@usgs.gov","orcid":"https://orcid.org/0000-0002-8117-8710","contributorId":270223,"corporation":false,"usgs":true,"family":"Lyons","given":"Marta","email":"mlyons@usgs.gov","middleInitial":"P.","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":833752,"contributorType":{"id":3,"text":"Compilers"},"rank":1},{"text":"LeDee, Olivia E. 0000-0002-7791-5829","orcid":"https://orcid.org/0000-0002-7791-5829","contributorId":199985,"corporation":false,"usgs":true,"family":"LeDee","given":"Olivia E.","affiliations":[],"preferred":false,"id":833753,"contributorType":{"id":3,"text":"Compilers"},"rank":2},{"text":"Boyles, Ryan 0000-0001-9272-867X","orcid":"https://orcid.org/0000-0001-9272-867X","contributorId":221983,"corporation":false,"usgs":true,"family":"Boyles","given":"Ryan","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":833754,"contributorType":{"id":3,"text":"Compilers"},"rank":3}]}}
,{"id":70241842,"text":"70241842 - 2022 - Molecular mechanisms of solid bitumen and vitrinite reflectance suppression explored using hydrous pyrolysis of artificial source rock","interactions":[],"lastModifiedDate":"2023-03-29T12:05:04.630383","indexId":"70241842","displayToPublicDate":"2022-02-15T07:01:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Molecular mechanisms of solid bitumen and vitrinite reflectance suppression explored using hydrous pyrolysis of artificial source rock","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">The most commonly used parameter for thermal maturity calibration in basin modelling is mean random vitrinite reflectance (R<sub>o</sub>). However, R<sub>o</sub><span>&nbsp;</span>suppression has been noted in samples containing a high proportion of liptinite macerals. This phenomenon has been demonstrated empirically using hydrous pyrolysis of artificial source rock containing various proportions of thermally immature Wyodak-Anderson coal and liptinite-rich kerogen from the Parachute Creek Member of the Green River Formation. Analysis of samples pyrolyzed at 330&nbsp;°C for 72&nbsp;h demonstrates that R<sub>o</sub><span>&nbsp;</span>values of both vitrinite and solid bitumen are suppressed in rocks containing liptinite-rich kerogen. Raman and micro-Fourier transform infrared (µ-FTIR) analyses were performed to investigate the mechanisms of suppression. Raman maturity proxies show decreased aromaticity in samples with suppressed R<sub>o</sub>, particularly in solid bitumen, with aromaticity decreasing as the proportion of liptinite increases. The µ-FTIR proxy for aliphatic chain length and/or branching ratio is static in solid bitumen, yet increases slightly in vitrinite as the liptinite proportion increases. These spectroscopic results suggest slightly different suppression mechanisms for vitrinite and solid bitumen, with reduced C<img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">C bond cleavage and marginally reduced aromaticity in vitrinite with suppressed R<sub>o</sub>, and strongly reduced aromaticity and C<img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\">C bond cleavage in solid bitumen with suppressed R<sub>o</sub>. These results support the hypothesis that the generation of free radicals during maturation slows aromatization and highlight the disadvantages of using solid bitumen R<sub>o</sub><span>&nbsp;</span>for maturity calibration in liptinite-rich samples. Furthermore, our results indicate that use of Raman data obtained from liptinite-rich samples may also result in suppressed maturity indicators, particularly if the macerals are not identified prior to analysis.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2022.104371","usgsCitation":"Sanders, M.M., Jubb, A., Hackley, P.C., and Peters, K., 2022, Molecular mechanisms of solid bitumen and vitrinite reflectance suppression explored using hydrous pyrolysis of artificial source rock: Organic Geochemistry, v. 165, 104371, 12 p., https://doi.org/10.1016/j.orggeochem.2022.104371.","productDescription":"104371, 12 p.","ipdsId":"IP-134667","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":414885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"165","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanders, Margaret M. 0000-0003-3505-874X","orcid":"https://orcid.org/0000-0003-3505-874X","contributorId":248709,"corporation":false,"usgs":true,"family":"Sanders","given":"Margaret","email":"","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":867904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":867905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":867906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Kenneth E.","contributorId":10897,"corporation":false,"usgs":true,"family":"Peters","given":"Kenneth E.","affiliations":[],"preferred":false,"id":867907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70230491,"text":"70230491 - 2022 - ﻿Integration of vegetation classification with land cover mapping: Lessons from regional mapping efforts in the Americas","interactions":[],"lastModifiedDate":"2022-04-14T11:49:12.307184","indexId":"70230491","displayToPublicDate":"2022-02-15T06:48:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10551,"text":"Vegetation Classification and Survey","active":true,"publicationSubtype":{"id":10}},"title":"﻿Integration of vegetation classification with land cover mapping: Lessons from regional mapping efforts in the Americas","docAbstract":"<p><strong>Aims</strong>: Natural resource management and biodiversity conservation rely on inventories of vegetation that span multiple management or political jurisdictions. However, while remote sensing data and analytical tools have enabled production of maps at increasing spatial resolution and reliability, there are limited examples where national or continental-scaled maps are produced to represent vegetation at high thematic detail. We illustrate two examples that have bridged the gap between traditional land cover mapping and modern vegetation classification.<span>&nbsp;</span><strong>Study area</strong>: Our two case studies include national (<abbr id=\"ABBRID0EFE\" title=\"United States of America\">USA</abbr>) and continental (North and South America) vegetation and land cover mapping. These studies span conditions from subpolar to tropical latitudes of the Americas.<span>&nbsp;</span><strong>Methods</strong>: Both case studies used a supervised modeling approach with the International Vegetation Classification (<abbr id=\"ABBRID0ELE\" title=\"International Vegetation Classification\">IVC</abbr>) to produce maps that provide for greater thematic detail. Georeferenced locations for these vegetation types are used by machine learning algorithms to train a predictive model and generate a distribution map.<span>&nbsp;</span><strong>Results</strong>: The<span>&nbsp;</span><abbr id=\"ABBRID0ERE\" title=\"United States of America\">USA</abbr><span>&nbsp;</span><abbr id=\"ABBRID0EVE\" title=\"Landscape Fire and Resource Management Planning Tools Project\">LANDFIRE</abbr><span>&nbsp;</span>(Landscape Fire and Resource Management Planning Tools Project) case study illustrates how a history of vegetation-based classification and availability of key inputs can come together to generate standard map products covering more than 9.8 million km<sup>2</sup><span>&nbsp;</span>that are unsurpassed anywhere in the world in terms of spatial and thematic resolution. That being said, it also remains clear that mapping at the thematic resolution of the<span>&nbsp;</span><abbr id=\"ABBRID0E2E\" title=\"International Vegetation Classification\">IVC</abbr><span>&nbsp;</span>Group and finer resolution require very large and spatially balanced inputs of georeferenced samples. Even with extensive prior data collection efforts, these remain a key limitation. The NatureServe effort for the Americas - encompassing 22% of the global land surface - demonstrates methods and outputs suitable for worldwide application at continental scales.<span>&nbsp;</span><strong>Conclusions</strong>: Continued collection of input data used in the case studies could enable mapping at these spatial and thematic resolutions around the globe.</p>","language":"English","publisher":"Pensoft","doi":"10.3897/VCS.67537","usgsCitation":"Comer, P.J., Hak, J.C., Dockter, D., and Smith, J., 2022, ﻿Integration of vegetation classification with land cover mapping: Lessons from regional mapping efforts in the Americas: Vegetation Classification and Survey, p. 29-43, https://doi.org/10.3897/VCS.67537.","productDescription":"15 p.","startPage":"29","endPage":"43","ipdsId":"IP-128344","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":448793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/vcs.67537","text":"Publisher Index Page"},{"id":398727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Comer, Patrick J. 0000-0002-5869-2105","orcid":"https://orcid.org/0000-0002-5869-2105","contributorId":258190,"corporation":false,"usgs":false,"family":"Comer","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":840550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hak, Jon C","contributorId":290233,"corporation":false,"usgs":false,"family":"Hak","given":"Jon","email":"","middleInitial":"C","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":840551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dockter, Daryn 0000-0003-1914-8657","orcid":"https://orcid.org/0000-0003-1914-8657","contributorId":216392,"corporation":false,"usgs":false,"family":"Dockter","given":"Daryn","affiliations":[],"preferred":false,"id":840552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Jim","contributorId":191054,"corporation":false,"usgs":false,"family":"Smith","given":"Jim","email":"","affiliations":[],"preferred":false,"id":840553,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237179,"text":"70237179 - 2022 - High abundance of a single taxon (amphipods) predicts aquatic macrophyte biodiversity in prairie wetlands","interactions":[],"lastModifiedDate":"2022-10-04T11:36:17.269282","indexId":"70237179","displayToPublicDate":"2022-02-15T06:33:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"High abundance of a single taxon (amphipods) predicts aquatic macrophyte biodiversity in prairie wetlands","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Conservation programs often aim to protect the abundance of individual species and biodiversity simultaneously. We quantified relations between amphipod densities and aquatic macrophyte (large plants and algae) diversity to test a hypothesis that biodiversity can support high abundance of a single taxonomic group. Amphipods (<i>Gammarus lacustris</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Hyalella azteca</i>) are key forage for waterfowl and are declining in the Prairie Pothole Region of North America. We sampled a large gradient of amphipod densities (0–7050 amphipods/m<sup>3</sup>) in 49 semi-permanent wetlands, and 50% of the study wetlands had high amphipod densities (&gt; 500 amphipods/m<sup>3</sup>). Generalized linear models revealed<span>&nbsp;</span><i>G. lacustris</i><span>&nbsp;</span>and<span>&nbsp;</span><i>H. azteca</i><span>&nbsp;</span>densities increased exponentially with macrophyte diversity indices. Further,<span>&nbsp;</span><i>H. azteca</i><span>&nbsp;</span>densities were greatest at moderate levels of submersed vegetation biomass. Community analyses showed both amphipod species were positively associated with diverse macrophyte assemblages and negatively associated with high coverage of cattails (<i>Typha</i><span>&nbsp;</span>spp.), a taxon that creates monotypic stands, as well as bladderwort (<i>Utricularia</i><span>&nbsp;</span>spp.), a carnivorous plant. Our results indicate that amphipods could be used as an umbrella species for protecting diverse macrophyte communities in semi-permanent and permanent wetlands of North America’s Prairie Pothole Region.</p></div></div>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1007/s10531-022-02379-9","usgsCitation":"Larson, D.M., DeJong, D., Anteau, M.J., Fitzpatrick, M.J., Keith, B.R., Schilling, E.G., and Thoele, B., 2022, High abundance of a single taxon (amphipods) predicts aquatic macrophyte biodiversity in prairie wetlands: Conservation Biology, v. 31, p. 1073-1093, https://doi.org/10.1007/s10531-022-02379-9.","productDescription":"21 p.","startPage":"1073","endPage":"1093","ipdsId":"IP-125387","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448796,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-022-02379-9","text":"Publisher Index Page"},{"id":435968,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9INBET3","text":"USGS data release","linkHelpText":"Macrophyte and amphipod surveys in prairie wetlands of Minnesota in year 2019"},{"id":407850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","noUsgsAuthors":false,"publicationDate":"2022-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":853568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeJong, Demmey","contributorId":297160,"corporation":false,"usgs":false,"family":"DeJong","given":"Demmey","email":"","affiliations":[{"id":64304,"text":"Augsburg University","active":true,"usgs":false}],"preferred":false,"id":853569,"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":853570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Megan J.","contributorId":290649,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Megan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":853571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keith, Breanna R.","contributorId":290647,"corporation":false,"usgs":false,"family":"Keith","given":"Breanna","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":853572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schilling, Emily G. 0000-0001-9920-4908","orcid":"https://orcid.org/0000-0001-9920-4908","contributorId":297161,"corporation":false,"usgs":false,"family":"Schilling","given":"Emily","email":"","middleInitial":"G.","affiliations":[{"id":64304,"text":"Augsburg University","active":true,"usgs":false}],"preferred":false,"id":853573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thoele, Barry","contributorId":297162,"corporation":false,"usgs":false,"family":"Thoele","given":"Barry","email":"","affiliations":[{"id":64306,"text":"Lincoln Bait LCC","active":true,"usgs":false}],"preferred":false,"id":853574,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
]}