An analysis of the potential for deposits of critical minerals and elements in Maine presented here includes data and discussions for antimony, beryllium, cesium, chromium, cobalt, graphite, lithium, manganese, niobium, platinum group elements, rhenium, rare earth elements, tin, tantalum, tellurium, titanium, uranium, vanadium, tungsten, and zirconium. Deposits are divided into two groups based on geological settings and common ore-deposit terminology. One group consists of known deposits (sediment-hosted manganese, volcanogenic massive sulphide, porphyry copper-molybdenum, mafic- and ultramafic-hosted nickel-copper [-cobalt-platinum group elements], pegmatitic lithium-cesium-tantalum) that are in most cases relatively large, well-documented, and have been explored extensively in the past. The second, and much larger group of different minerals and elements, comprises small deposits, prospects, and occurrences that are minimally explored or unexplored. The qualitative assessment used in this study relies on three key criteria: (1) the presence of known deposits, prospects, or mineral occurrences; (2) favourable geologic settings for having certain deposit types based on current ore deposit models; and (3) geochemical anomalies in rocks or stream sediments, including panned concentrates. Among 20 different deposit types considered herein, a high resource potential is assigned only to three: (1) sediment-hosted manganese, (2) mafic- and ultramafic-hosted nickel-copper(-cobalt-platinum group elements), and (3) pegmatitic lithium-cesium-tantalum. Moderate potential is assigned to 11 other deposit types, including: (1) porphyry copper-molybdenum (-rhenium, selenium, tellurium, bismuth, platinum group elements); (2) chromium in ophiolites; (3) platinum group elements in ophiolitic ultramafic rocks; (4) granite-hosted uranium-thorium; (5) tin in granitic plutons and veins; (6) niobium, tantalum, and rare earth elements in alkaline intrusions; (7) tungsten and bismuth in polymetallic veins; (8) vanadium in black shales; (9) antimony in orogenic veins and replacements; (10) tellurium in epithermal deposits; and (11) uranium in peat.
","language":"English","publisher":"Atlantic Geology","doi":"10.4138/atlgeo.2022.007","usgsCitation":"Slack, J.F., Beck, F., Bradley, D., Felch, M.M., Marvinney, R.G., and Whittaker, A., 2022, Potential for critical mineral deposits in Maine, USA: Atlantic Geoscience, v. 58, p. 155-191, https://doi.org/10.4138/atlgeo.2022.007.","productDescription":"37 p.","startPage":"155","endPage":"191","ipdsId":"IP-138621","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":447292,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4138/atlgeo.2022.007","text":"External Repository"},{"id":418503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Their populations have declined for over a century due to many factors including coastal development, nest predation, pet trade and drowning in crab traps. Without action, terrapin populations will continue to decline. 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The success of littoral spawning fishes depends on the timing and variability of water levels. The onset of drought between 2017 and 2018 provided an opportunity to evaluate the timing of hatch dates and relative abundance of young-of-year Largemouth Bass Micropterus salmoides across two water years of varying water temperatures and water levels in a southwestern U.S. reservoir. A retrospective analysis of otoliths in young-of-year Largemouth Bass revealed similar hatch dates in 2017 (14 April–29 May) and 2018 (13 April–28 May) despite differences in water temperature and water level rate of change. Median water temperature during hatch dates was greater in 2017 (median 19.0°C, range 14.3–24.4°C) than 2018 (17.6°C, range 13.5–21.7°C). Water level rate of change during hatch dates in 2017 was positive (+3.1 to +13.1 cm/d), which reflected reservoir filling. In contrast, water level rate of change during hatch dates in 2018 was negative (−8.5 to −0.6 cm/d), which reflected reservoir receding. Relative abundance of young-of-year fish was greater in 2017 (21.7 fish/h) when the reservoir was filling compared with relative abundance in 2018 (6.8 fish/h) when the reservoir was receding. The median growth rate was greater in 2017 (1.02 mm/d) when the reservoir was filling than in 2018 (0.82 mm/d) when the reservoir was receding. Despite differences in water temperature and contrasting reservoir levels between the two water years, the Largemouth Bass population in a southwest U.S. reservoir exhibited similar hatch dates reported for the species in southeastern and northeastern U.S. reservoirs. While water demand in the 21st century may exceed availability, the opportunity exists to collaborate with water managers to benefit Largemouth Bass populations in southwestern reservoirs.
","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-21-071","usgsCitation":"Vaisvil, A., Caldwell, C.A., and Frey, E., 2022, Water-level fluctuations and water temperature effects on young-of-year Largemouth Bass in a southwest irrigation reservoir: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 534-543, https://doi.org/10.3996/JFWM-21-071.","productDescription":"10 p.","startPage":"534","endPage":"543","ipdsId":"IP-133206","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":447295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-071","text":"Publisher Index Page"},{"id":429779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Sierra County","otherGeospatial":"Elephant Butte Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.12656805641583,\n 33.33034159767031\n ],\n [\n -107.22643051078117,\n 33.33034159767031\n ],\n [\n -107.22643051078117,\n 33.13668854992092\n ],\n [\n -107.12656805641583,\n 33.13668854992092\n ],\n [\n -107.12656805641583,\n 33.33034159767031\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaisvil, Alexander","contributorId":337757,"corporation":false,"usgs":false,"family":"Vaisvil","given":"Alexander","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":902658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frey, Eric","contributorId":337759,"corporation":false,"usgs":false,"family":"Frey","given":"Eric","email":"","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":902659,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232315,"text":"fs20223043 - 2022 - Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming","interactions":[],"lastModifiedDate":"2026-03-24T21:26:39.539224","indexId":"fs20223043","displayToPublicDate":"2022-06-27T11:35:47","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3043","displayTitle":"Comparison of Water Year 2021 Streamflow to Historical Data at Selected Sites in the Snake River Basin, Wyoming","title":"Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming","docAbstract":"The headwaters of the Snake River are in the mountains of northwestern Wyoming on lands primarily administered by the National Park Service and the Bridger-Teton National Forest. Streamflow from the Snake River Basin has been measured at some sites for more than 100 years. Water from this drainage basin is used for recreational, agricultural, and municipal uses and power generation. Because of the many uses of the water and the ongoing drought in the Western United States, there is interest in how streamflow in water year 2021 compared to the historical data. Historical streamflow data are defined as the operational period of the streamgage through water year 2020. A water year is named for the year in which it ends; therefore, water year 2021 is October 1, 2020, through September 30, 2021.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223043","usgsCitation":"Law, R.M., Campbell, J.R., Wheeler, J.D., and Eddy-Miller, C.E., 2022, Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming: U.S. Geological Survey Fact Sheet 2022–3043, 5 p., https://doi.org/10.3133/fs20223043.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-136663","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":402526,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20223043/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":402508,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3043/images"},{"id":402505,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3043/coverthb.jpg"},{"id":402506,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3043/fs20223043.pdf","text":"Report","size":"6.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3043"},{"id":402507,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3043/fs20223043.XML"},{"id":501494,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113217.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.02508544921875,\n 43.21118152841771\n ],\n [\n -110.45928955078125,\n 43.21118152841771\n ],\n [\n -110.45928955078125,\n 44.09744824027576\n ],\n [\n -111.02508544921875,\n 44.09744824027576\n ],\n [\n -111.02508544921875,\n 43.21118152841771\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
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521 Progress Circle, Suite 6
Cheyenne, WY 82007
The RESTORE Council Monitoring and Assessment Program (CMAP), administered by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS), spatially and temporally inventoried programs in the Gulf of Mexico focused on water quality and habitat monitoring and mapping.
","language":"English","publisher":"National Oceanic and Atmospheric Administration, United States Geological Survey","usgsCitation":"RESTORE Council Monitoring and Assessment Program, 2022, Exploring CMAP products: Mapping, 2 p.","productDescription":"2 p.","ipdsId":"IP-122532","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":402512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402511,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://cdn.coastalscience.noaa.gov/projects-attachments/343/CMAP_Mapping_One-pager.pdf","size":"1272 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":402501,"type":{"id":15,"text":"Index Page"},"url":"https://coastalscience.noaa.gov/project/restore-council-monitoring-and-assessment-program-building-a-comprehensive-monitoring-network/"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.140625,\n 26.509904531413927\n ],\n [\n -98.37158203125,\n 25.97779895546436\n ],\n [\n -97.80029296875,\n 25.859223554761407\n ],\n [\n -97.40478515625,\n 25.780107118422244\n ],\n [\n -97.27294921875,\n 25.859223554761407\n ],\n [\n -80.26611328125,\n 25.145284610685064\n ],\n [\n -80.04638671875,\n 25.780107118422244\n ],\n [\n -79.91455078125,\n 26.60817437403311\n ],\n [\n -80.04638671875,\n 27.0982539061379\n ],\n [\n -80.22216796875,\n 27.430289738862594\n ],\n [\n -80.48583984375,\n 28.459033019728043\n ],\n [\n -81.18896484375,\n 29.82158272057499\n ],\n [\n -81.36474609375,\n 30.4297295750316\n ],\n [\n -81.45263671875,\n 30.826780904779774\n ],\n [\n -81.18896484375,\n 31.55981453201843\n ],\n [\n -91.34033203125,\n 31.98944183792288\n ],\n [\n -91.669921875,\n 31.316101383495624\n ],\n [\n -98.59130859375,\n 29.649868677972304\n ],\n [\n -99.140625,\n 26.509904531413927\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"RESTORE Council Monitoring and Assessment Program","contributorId":292577,"corporation":true,"usgs":false,"organization":"RESTORE Council Monitoring and Assessment Program","id":845233,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70232313,"text":"70232313 - 2022 - Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action","interactions":[],"lastModifiedDate":"2022-06-27T15:35:04.472666","indexId":"70232313","displayToPublicDate":"2022-06-27T10:25:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action","docAbstract":"Accurate predictions of ecological restoration outcomes are needed across the increasingly large landscapes requiring treatment following disturbances. However, observational studies often fail to account for nonrandom treatment application, which can result in invalid inference. Examining a spatiotemporally extensive management treatment-- post-fire seeding of declining sagebrush shrubs across the semiarid U.S. over two decades -- we quantify drivers and consequences of selection biases in restoration, using remotely sensed data. Treatments were disproportionately applied in more stressful, degraded ecological conditions. Failure to incorporate nonrandom treatment allocation led to the conclusion that costly, widespread seedings were unsuccessful; however, after considering biases, restoration positively affected sagebrush recovery. Treatment effect sizes varied with climate, indicating possible prioritization criteria for interventions. Our findings revise the perspective that widespread post-fire sagebrush seedings have been broadly “unsuccessful” and demonstrate how selection biases can pose substantive inferential hazards in observational studies of restoration efficacy and development of restoration theory.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-022-31102-z","usgsCitation":"Simler-Williamson, A., and Germino, M., 2022, Statistical consideration of nonrandom treatment applications reveal region-wide benefits of widespread post-fire restoration action: Nature Communications, v. 13, 3472, 14 p., https://doi.org/10.1038/s41467-022-31102-z.","productDescription":"3472, 14 p.","ipdsId":"IP-130034","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":447299,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-31102-z","text":"Publisher Index Page"},{"id":402510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Idaho, Nevada, Oregon, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1240234375,\n 37.020098201368114\n ],\n [\n -105.64453124999999,\n 37.020098201368114\n ],\n [\n -105.64453124999999,\n 44.87144275016589\n ],\n [\n -122.1240234375,\n 44.87144275016589\n ],\n [\n -122.1240234375,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2022-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Simler-Williamson, Allison B. 0000-0003-1358-1919","orcid":"https://orcid.org/0000-0003-1358-1919","contributorId":292572,"corporation":false,"usgs":false,"family":"Simler-Williamson","given":"Allison B.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":845221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":845222,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70232282,"text":"70232282 - 2022 - A numerical study of geomorphic and oceanographic controls on wave-driven runup on fringing reefs with shore-normal channels","interactions":[],"lastModifiedDate":"2022-06-27T15:24:43.923098","indexId":"70232282","displayToPublicDate":"2022-06-27T10:16:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A numerical study of geomorphic and oceanographic controls on wave-driven runup on fringing reefs with shore-normal channels","docAbstract":"Many populated, tropical coastlines fronted by fringing coral reefs are exposed to wave-driven marine flooding that is exacerbated by sea-level rise. Most fringing coral reef are not alongshore uniform, but bisected by shore-normal channels; however, little is known about the influence of such channels on alongshore variations on runup and flooding of the adjacent coastline. We con-ducted a parametric study using the numeric model XBeach that demonstrates that a shore-normal channel results in substantial alongshore variations in waves, wave-driven water levels, and the resulting runup. Depending on the geometry and forcing, runup is greater either on the coastline adjacent to the channel terminus or at locations near the alongshore extent of the channel. The impact of channels on runup increases for higher incident waves, lower incident wave steepness, wider channels, a narrower reef, and shorter channel spacing. Alongshore varia-tion of infragravity waves is predominantly responsible for large-scale variations in runup out-side the channel, whereas setup, sea-swell waves, and very-low frequency waves mainly increase runup inside the channel. These results provide insight into which coastal locations adjacent to shore-normal channels are most vulnerable to high runup events, using only widely available data such as reef geometry and offshore wave conditions.","language":"English","publisher":"MDPI","doi":"10.3390/jmse10060828","usgsCitation":"Storlazzi, C.D., Rey, A., and van Dongeren, A., 2022, A numerical study of geomorphic and oceanographic controls on wave-driven runup on fringing reefs with shore-normal channels: Journal of Marine Science and Engineering, v. 10, no. 6, 828, 13 p., https://doi.org/10.3390/jmse10060828.","productDescription":"828, 13 p.","ipdsId":"IP-140197","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":447301,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse10060828","text":"Publisher Index Page"},{"id":435793,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A0HFKV","text":"USGS data release","linkHelpText":"Model parameter input files to compare the influence of channels in fringing coral reefs on alongshore variations in wave-driven runup along the shoreline"},{"id":402509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8075-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8075-4490","contributorId":292540,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":845005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, Annouk","contributorId":292541,"corporation":false,"usgs":false,"family":"Rey","given":"Annouk","email":"","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":845006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dongeren, Ap","contributorId":149002,"corporation":false,"usgs":false,"family":"van Dongeren","given":"Ap","email":"","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":845007,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232393,"text":"70232393 - 2022 - 21st-century stagnation in unvegetated sand-sea activity","interactions":[],"lastModifiedDate":"2022-07-01T12:05:08.833034","indexId":"70232393","displayToPublicDate":"2022-06-27T07:02:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"21st-century stagnation in unvegetated sand-sea activity","docAbstract":"Sand seas are vast expanses of Earth’s surface containing large areas of aeolian dunes—topographic patterns manifest from above-threshold winds and a supply of loose sand. Predictions of the role of future climate change for sand-sea activity are sparse and contradictory. Here we examine the impact of climate on all of Earth’s presently-unvegetated sand seas, using ensemble runs of an Earth System Model for historical and future Shared Socioeconomic Pathway (SSP) scenarios. We find that almost all of the sand seas decrease in activity relative to present-day and industrial-onset for all future SSP scenarios, largely due to more intermittent sand-transport events. An increase in event wait-times and decrease in sand transport is conducive to vegetation growth. We expect dune-forming winds will become more unimodal, and produce larger incipient wavelengths, due to weaker and more seasonal winds. Our results indicate that these qualitative changes in Earth’s deserts cannot be mitigated.
Restoring the health of urban streams has many of the characteristics of a wicked problem. Addressing a wicked problem requires managers, academics, practitioners, and community members to make negotiated tradeoffs and compromises to satisfy the values and perspectives of diverse stakeholders involved in setting restoration project goals and objectives. We conducted a gap analysis on 11 urban stream restoration projects to identify disconnections, underperformance issues, and missing processes in the project structures used to develop restoration project goals and objectives. We examined the gap analysis results to investigate whether managers appropriately identified problem statements and met stated objectives. Projects that aimed to restore overall stream health commonly fell short for various reasons, including limited stakeholder and community input and buy-in, revealing potential limitations in the breadth of objectives, values, and stakeholder perspectives and knowledge types. Projects that emphasized integrating community values and diverse knowledge types tended to meet the expected outcomes of restoring stream processes through incremental solutions. Managers implementing more holistic solutions and values-driven approaches are more likely to consider diverse viewpoints from a variety of community local institutions. Based on these and other results, we propose a conceptual framework that integrates diverse perspectives and knowledge to enhance social and ecological outcomes of urban stream restoration. The framework also emphasizes the importance of setting objectives that support incremental solutions to foster more realistic expectations amongst stakeholders.
In low-permeability systems, groundwater may be accompanied by separate-phase fluids, and measured pore water pressures may deviate from those expected in steady-state, single-phase systems. These same systems may be of interest for storage of nuclear waste in Deep Geologic Repositories. Therefore, it is important to understand the relationship between the presence of a separate phase and anomalous pressure development. At the Bruce site in Southern Ontario, a significant underpressure was observed, and there is evidence for the presence of gas-phase methane in situ. This study used a one-dimensional (vertical) numerical model of the subsurface down to a depth of 844 m beneath the Bruce site to evaluate possible effects of hydromechanical coupling with multiphase flow on pressure evolution during glacial loading and unloading. The simulated pressure conditions were affected strongly by the amount of methane initially present in the system, and the maximum simulated underpressure varied nonmonotonically with increasing initial methane content. When the initial methane content was below the solubility limit, exsolution led to underpressures that briefly exceeded those that formed in the single-phase case. At intermediate initial methane contents (sufficient to produce an immobile gas phase), the gas phase dampened the hydromechanical effects of the glacial cycle. At large initial methane contents (when a mobile gas phase was present), gas migration caused a large decrease in relative liquid permeability, which further contributed to underpressure development in the pore water. Multiple scenarios that spanned a range of initial methane contents yielded underpressures like those observed at the Bruce site.
One of the risks faced by habitat restoration practitioners is whether habitats included in restoration planning will be used by the target species or, conversely, whether habitats excluded from restoration planning would have benefited the target species. With the goal of providing a quantitative decision-making approach that represented varying levels of risk tolerance, we used multiple probability decision thresholds (PDT) to predict the range of occurrence for three anadromous fishes (Oncorhynchus spp.) in a watershed in southwestern Washington, USA. For each species, we compared the predicted range of occurrence to the distribution used for restoration planning and quantified the amount of habitat blocked by anthropogenic barriers. Coho salmon (O. kisutch) had the broadest predicted range of occurrence (3061.6–6357.9 km; 0.75–0.25 PDT), followed by steelhead trout (O. mykiss; 1828.8–2836.8 km) and chum salmon (O. keta; 1373.9–1629.1 km). For each species, the predicted range of occurrence was similar or greater than the distribution used for restoration planning, suggesting that the current plan may exclude habitats that would benefit each species. Coho salmon had the greatest percentage of habitat blocked by anthropogenic barriers, followed by steelhead trout and chum salmon, respectively. Modeling species distributions at multiple risk-tolerance scenarios acknowledges uncertainty in restoration planning and allows practitioners to weigh the ecological benefits and budgetary constraints when considering locations for restoration. To effectively communicate restoration science to support practitioners in decision-making, we developed an R Shiny application online user interface available at: https://shiny.wdfw-fish.us/ChehalisRiverBasinSalmonidRangeOfOccurence/.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2701","usgsCitation":"Walther, E.J., Zimmerman, M.S., Falke, J.A., and Westley, P.A., 2022, Species distributions and the recognition of risk in restoration planning: A case study of salmonid fishes: Ecological Applications, v. 32, no. 8, e2701, 19 p., https://doi.org/10.1002/eap.2701.","productDescription":"e2701, 19 p.","ipdsId":"IP-128611","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488400,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/6574277","text":"External Repository"},{"id":485841,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Chehalis River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.31462582290652,\n 47.16367632863228\n ],\n [\n -124.14097393881218,\n 46.79579869451868\n ],\n [\n -123.88483362600141,\n 46.651693783856416\n ],\n [\n -123.23597795419923,\n 46.701853931300036\n ],\n [\n -123.28154994900483,\n 46.393856749600275\n ],\n [\n -123.12616728626703,\n 45.9636124965416\n ],\n [\n -122.6145461794788,\n 45.84907194087441\n ],\n [\n -122.25792770553518,\n 46.632856722316745\n ],\n [\n -123.85738372444928,\n 47.34970602480141\n ],\n [\n -124.31462582290652,\n 47.16367632863228\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Walther, Eric J.","contributorId":304288,"corporation":false,"usgs":false,"family":"Walther","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":936771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerman, Mara S.","contributorId":152687,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Mara","email":"","middleInitial":"S.","affiliations":[{"id":13269,"text":"Washington Department of Fish & Wildlife","active":true,"usgs":false}],"preferred":false,"id":936772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westley, Peter A. H.","contributorId":190530,"corporation":false,"usgs":false,"family":"Westley","given":"Peter","email":"","middleInitial":"A. H.","affiliations":[],"preferred":false,"id":936774,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255205,"text":"70255205 - 2022 - Hybridization decreases native cutthroat trout reproductive fitness","interactions":[],"lastModifiedDate":"2024-06-13T15:00:22.858853","indexId":"70255205","displayToPublicDate":"2022-06-25T09:56:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization decreases native cutthroat trout reproductive fitness","docAbstract":"Examining natural selection in wild populations is challenging, but crucial to understanding many ecological and evolutionary processes. Additionally, in hybridizing populations, natural selection may be an important determinant of the eventual outcome of hybridization. We characterized several components of relative fitness in hybridizing populations of Yellowstone cutthroat trout and rainbow trout in an effort to better understand the prolonged persistence of both parental species despite predictions of extirpation. Thousands of genomic loci enabled precise quantification of hybrid status in adult and subsequent juvenile generations; a subset of those data also identified parent–offspring relationships. We used linear models and simulations to assess the effects of ancestry on reproductive output and mate choice decisions. We found a relatively low number of late-stage (F3+) hybrids and an excess of F2 juveniles relative to the adult generation in one location, which suggests the presence of hybrid breakdown decreasing the fitness of F2+ hybrids later in life. Assessments of reproductive output showed that Yellowstone cutthroat trout are more likely to successfully reproduce and produce slightly more offspring than their rainbow trout and hybrid counterparts. Mate choice appeared to be largely random, though we did find statistical support for slight female preference for males of similar ancestry. Together, these results show that native Yellowstone cutthroat trout are able to outperform rainbow trout in terms of reproduction and suggest that management action to exclude rainbow trout from spawning locations may bolster the now-rare Yellowstone cutthroat trout.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16578","collaboration":"Wyoming Game and Fish Department","usgsCitation":"Rosenthal, W.C., Fennell, J.M., Mandeville, E., Burckhardt, J., Walters, A.W., and Wagner, C., 2022, Hybridization decreases native cutthroat trout reproductive fitness: Molecular Ecology, v. 31, no. 16, p. 4224-4241, https://doi.org/10.1111/mec.16578.","productDescription":"18 p.","startPage":"4224","endPage":"4241","ipdsId":"IP-134904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenthal, William C.","contributorId":337368,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":903732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":338996,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Catherine E.","contributorId":337377,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232345,"text":"70232345 - 2022 - Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream","interactions":[],"lastModifiedDate":"2023-03-24T16:52:14.658494","indexId":"70232345","displayToPublicDate":"2022-06-25T07:30:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream","docAbstract":"Aquatic primary production is the foundation of many river food webs. Dams change the physical template of rivers, often driving food webs toward greater reliance on aquatic primary production. Nonetheless, the effects of regulated flow regimes on primary production are poorly understood. Load following is a common dam flow management strategy that involves sub-daily changes in water releases proportional to fluctuations in electrical power demand. This flow regime causes an artificial tide, wetting and drying channel margins and altering river depth and water clarity, all processes that are likely to affect primary production. In collaboration with dam operators, we designed an experimental flow regime whose goal was to mitigate negative effects of load following on ecosystem processes. The experimental flow contrasted steady-low flows on weekends with load following flows on weekdays. Here, we quantify the effect of this experimental flow on springtime gross primary production (GPP) 90-to-425 km downstream of Glen Canyon Dam on the Colorado River, AZ, USA. GPP during steady-low flows was 41% higher than during load following flows, mostly owing to non-linear reductions in sediment-driven turbidity. The experimental flow increased weekly GPP even after controlling for variation in weekly mean discharge, demonstrating a negative effect of load following on GPP. We estimate that this environmental flow increased springtime carbon fixation by 0.27 g C m–2 d–1, which is ecologically meaningful considering median C fixation in 356 U.S. rivers of 0.44 g C m–2 d–1 and the fact that native fish populations in this river are food-limited.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1093/pnasnexus/pgac094","usgsCitation":"Deemer, B., Yackulic, C., Hall Jr., R., Dodrill, M., Kennedy, T., Muehlbauer, J., Topping, D.J., Voichick, N., and Yard, M.D., 2022, Experimental reductions in sub-daily flow fluctuations increased gross primary productivity for 425 river kilometers downstream: PNAS Nexus, v. 1, no. 3, pgsc094, 12 p., https://doi.org/10.1093/pnasnexus/pgac094.","productDescription":"pgsc094, 12 p.","ipdsId":"IP-134337","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":447313,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgac094","text":"Publisher Index Page"},{"id":435795,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZS6YLV","text":"USGS data release","linkHelpText":"Gross primary production estimates and associated light, sediment, and water quality data from the Colorado River below Glen Canyon Dam"},{"id":402590,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall Jr., Robert O","contributorId":292567,"corporation":false,"usgs":false,"family":"Hall Jr.","given":"Robert O","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":845293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845295,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845296,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845297,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voichick, Nicholas 0000-0002-9716-5906 nvoichick@usgs.gov","orcid":"https://orcid.org/0000-0002-9716-5906","contributorId":203632,"corporation":false,"usgs":true,"family":"Voichick","given":"Nicholas","email":"nvoichick@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845298,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":169281,"corporation":false,"usgs":true,"family":"Yard","given":"Michael","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845299,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70233942,"text":"70233942 - 2022 - Environmental DNA methods for ecological monitoring and biodiversity assessment in estuaries","interactions":[],"lastModifiedDate":"2022-10-17T15:43:31.657314","indexId":"70233942","displayToPublicDate":"2022-06-25T07:13:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA methods for ecological monitoring and biodiversity assessment in estuaries","docAbstract":"Environmental DNA (eDNA) detection methods can complement traditional biomonitoring to yield new ecological insights in aquatic systems. However, the conceptual and methodological frameworks for aquatic eDNA detection and interpretation were developed primarily in freshwater environments and have not been well established for estuaries and marine environments that are by nature dynamic, turbid, and hydrologically complex. Environmental context and species life history are critical for successful application of eDNA methods, and the challenges associated with eDNA detection in estuaries were the subject of a symposium held at the University of California Davis on January 29, 2020 (https://marinescience.ucdavis.edu/engagement/past-events/edna). Here, we elaborate upon topics addressed in the symposium to evaluate eDNA methods in the context of monitoring and biodiversity studies in estuaries. We first provide a concise overview of eDNA science and methods, and then examine the San Francisco Estuary (SFE) as a case study to illustrate how eDNA detection can complement traditional monitoring programs and provide regional guidance on future potential eDNA applications. Additionally, we offer recommendations for enhancing communication between eDNA scientists and natural resource managers, which is essential for integrating eDNA methods into existing monitoring programs. Our intent is to create a resource that is accessible to those outside the field of eDNA, especially managers, without oversimplifying the challenges or advantages of these methods.
Understanding the evolution of plumes emanating from residual hydrocarbon contaminant sources requires evaluating how changes in source compositions over time cause changes in dissolved plume chemistry as residual sources age. This study investigates such changes at the site of a 1979 crude-oil pipeline spill and is the first comprehensive look at groundwater chemistry associated with a residual hydrocarbon source zones in different stages of aging. The data show a direct relationship between concentrations of benzene and naphthalene in the residual oil and those measured in water samples collected below the oil. Groundwater associated with oil near the spill site had different chemical composition compared with water associated with oil that had spread downgradient from the spill zone, indicating a shift in biodegradation reactions. These results emphasize that source zone processes are spatially and temporally heterogeneous and should be accounted for in natural attenuation studies where residual source zones persist.
Tidal freshwater forested wetlands (TFFW) provide critical ecosystem services including essential habitat for a variety of wildlife species and significant carbon sinks for atmospheric carbon dioxide. However, large uncertainties remain concerning the impacts of climate change on the magnitude and variability of carbon fluxes and storage across a range of TFFW. In this study, we developed a process-driven Tidal Freshwater Wetlands DeNitrification-DeComposition model (TFW-DNDC) that has integrated new features, such as soil salinity effects on plant productivity and soil organic matter decomposition to explore carbon dynamics in TFFW in response to drought-induced saltwater intrusion. Eight sites along the floodplains of the Waccamaw River (USA) and the Savannah River (USA) were selected to represent TFFW transition from healthy to moderately and highly salt-impacted forests, and eventually to oligohaline marshes. TFW-DNDC was calibrated and validated using field observed annual litterfall, stem growth, root growth, soil heterotrophic respiration and soil organic carbon storage. Analyses indicate that plant productivity and soil carbon sequestration in TFFW could change substantially in response to increased soil porewater salinity and reduced soil water table due to drought, but in interactive ways dependent on the river simulated. Such responses are variable due to non-linear relationships between carbon cycling processes and environmental drivers. Plant productivity, plant respiration, soil organic carbon sequestration rate and storage in the highly salt-impacted forest sites decreased significantly under drought conditions compared to normal conditions. Considering the high likelihood of healthy and moderately salt-impacted forests becoming highly salt-impacted forests under future climate change and sea-level rise, it is very likely that TFFW will lose their capacity as carbon sinks without up-slope migration.
Introduction Regardless of the location, time of day, or season, the grandeur of Grand Canyon National Park and Glen Canyon National Recreation Area inspires awe. Visitors can reflect on the sunlit colors of the towering canyon walls or witness the vibrant, golden display of Fremont cottonwood leaves each fall. For millions of years, the Colorado River has sculpted canyon country; for thousands of years, it has been a lifeline for humans, wildlife, and plants. But despite its wild appearance, the river does not flow freely; it is regulated by the upstream Glen Canyon Dam, which profoundly affects the surrounding natural environment and visitor experiences. The National Park Service and its partners in the Glen Canyon Dam Adaptive Management Program are working on a 20-year experimental project to restore some of the natural systems that were damaged or lost because of the dam. The program is administered by the Bureau of Reclamation. The project covers 296 miles of the Colorado River, from Glen Canyon Dam at Lake Powell Reservoir through the Grand Canyon to Pearce Ferry at Lake Mead Reservoir. Scientists from the U.S. Geological Survey lead the program’s experiments, some of which have already proved fruitful. A Changed Ecosystem Since its completion in 1963, the dam has changed downstream habitats along the river, adversely affecting some of them. Before the dam was built, sparsely vegetated sandbars along the Colorado River were more prevalent. River rafters and other backcountry adventurers valued these sandy beaches as campsites and break spots. Dam operations changed the river flow regime, decreasing the size and duration of large floods while also increasing the level of low flows. This caused native clonal plant species like arrowweed and non-native species such as tamarisk to encroach on sandbars, decreasing the size of campsite areas and degrading their condition. Previously commonplace, cottonwood and willow gallery forests that are ideal for bird habitat are now essentially nonexistent. This is because the regulated flows don’t allow for marsh back channels, which relied on periodic large floods. The dam has also affected archeological sites. Many of these sites are in pre-dam river sediment deposits, which provide a protective barrier against erosion. The dammed river now carries up to 95 percent less sediment, which means there is less sand available to cover the fragile sites. Sites are commonly in sand dunes along the river corridor, where wind re-supplies the dunes with sand blown from adjacent sandbars. Encroaching vegetation on the sandbars limits movement of what little sand is now available to cover and protect these sites. In 2018, the National Park Service, U.S. Geological Survey, and some of their partners began experimental vegetation treatments along the Colorado River below Glen Canyon Dam. This was in accordance with the 2016 Glen Canyon Dam Long-Term Experimental and Management Plan. Their purpose was to determine effective ways to mitigate the dam’s adverse impacts. The treatments have had some notable successes in improving the condition of campsites, archeological sites, and the riparian plant ecosystem.
","language":"English","publisher":"National Park Service","usgsCitation":"Pilkington, L., Sankey, J., Boughter, D., Preston, T., and Prophet, C.C., 2022, Parks look for ways to alleviate Glen Canyon Dam’s dramatic downstream impacts: Park Science, v. 36, no. 1.","ipdsId":"IP-140451","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":402483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402472,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/parks-look-for-ways-to-alleviate-glen-canyon-dams-downstream-impacts.htm"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.03259277343749,\n 35.71083783530009\n ],\n [\n -111.6046142578125,\n 35.71083783530009\n ],\n [\n -111.6046142578125,\n 36.56260003738545\n ],\n [\n -114.03259277343749,\n 36.56260003738545\n ],\n [\n -114.03259277343749,\n 35.71083783530009\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkington, Lonnie","contributorId":292555,"corporation":false,"usgs":false,"family":"Pilkington","given":"Lonnie","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boughter, Dan","contributorId":292556,"corporation":false,"usgs":false,"family":"Boughter","given":"Dan","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Preston, Taryn","contributorId":292557,"corporation":false,"usgs":false,"family":"Preston","given":"Taryn","email":"","affiliations":[{"id":62075,"text":"National Park Service, Grand Canyon National Park","active":true,"usgs":false}],"preferred":false,"id":845049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prophet, Cam C.","contributorId":292562,"corporation":false,"usgs":false,"family":"Prophet","given":"Cam","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":845064,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232279,"text":"70232279 - 2022 - Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","interactions":[],"lastModifiedDate":"2022-09-01T14:41:57.583839","indexId":"70232279","displayToPublicDate":"2022-06-24T12:33:21","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2226,"text":"Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","title":"Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon","docAbstract":"The life history of Atlantic salmon (Salmo salar) includes an initial freshwater phase (parr) that precedes a springtime migration to marine environments as smolts. The development of osmoregulatory systems that will ultimately support the survival of juveniles upon entry into marine habitats is a key aspect of smoltification. While the acquisition of seawater tolerance in all euryhaline species demands the concerted activity of specific ion pumps, transporters, and channels, the contributions of Na+/HCO3− cotransporter 1 (Nbce1) to salinity acclimation remain unresolved. Here, we investigated the branchial and intestinal expression of three Na+/HCO3− cotransporter 1 isoforms, denoted nbce1.1, -1.2a, and -1.2b. Given the proposed role of Nbce1 in supporting the absorption of environmental Na+ by ionocytes, we first hypothesized that expression of a branchial nbce1 transcript (nbce1.2a) would be attenuated in salmon undergoing smoltification and following seawater exposure. In two separate years, we observed spring increases in branchial Na+/K+-ATPase activity, Na+/K+/2Cl− cotransporter 1, and cystic fibrosis transmembrane regulator 1 expression characteristic of smoltification, whereas there were no attendant changes in nbce1.2a expression. Nonetheless, branchial nbce1.2a levels were reduced in parr and smolts within 2 days of seawater exposure. In the intestine, gene transcript abundance for nbce1.1 increased from spring to summer in the anterior intestine, but not in the posterior intestine or pyloric caeca, and nbce1.1 and -1.2b expression in the intestine showed season-dependent transcriptional regulation by seawater exposure. Collectively, our data indicate that tissue-specific modulation of all three nbce1 isoforms underlies adaptive responses to seawater.
","language":"English","publisher":"Springer","doi":"10.1007/s00360-022-01443-8","usgsCitation":"Breves, J.P., McKay, I.S., Koltenyuk, V., Nelson, N.N., Lema, S., and McCormick, S.D., 2022, Na+/HCO3- cotransporter 1 (nbce1) isoform gene expression during smoltification and seawater acclimation of Atlantic salmon: Journal of Comparative Physiology B: Biochemical, Systemic, and Environmental Physiology, v. 192, p. 577-592, https://doi.org/10.1007/s00360-022-01443-8.","productDescription":"16 p.","startPage":"577","endPage":"592","ipdsId":"IP-136935","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":402482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"192","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":844988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Ian S.","contributorId":292532,"corporation":false,"usgs":false,"family":"McKay","given":"Ian","email":"","middleInitial":"S.","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koltenyuk, Victor","contributorId":292533,"corporation":false,"usgs":false,"family":"Koltenyuk","given":"Victor","email":"","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844990,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Nastasia N.","contributorId":292534,"corporation":false,"usgs":false,"family":"Nelson","given":"Nastasia","email":"","middleInitial":"N.","affiliations":[{"id":35659,"text":"Skidmore College","active":true,"usgs":false}],"preferred":false,"id":844991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lema, Sean C.","contributorId":220928,"corporation":false,"usgs":false,"family":"Lema","given":"Sean C.","affiliations":[{"id":37658,"text":"California Polytechnic State University","active":true,"usgs":false}],"preferred":false,"id":844992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":844993,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232289,"text":"70232289 - 2022 - Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","interactions":[],"lastModifiedDate":"2022-06-24T17:32:42.990458","indexId":"70232289","displayToPublicDate":"2022-06-24T12:28:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions","docAbstract":"Acoustic energy originating from explosions, sonic booms, bolides and thunderclaps have been recorded on seismometers since the 1950s. Direct pressure loading from the passing acoustic wave has been modelled and consistently observed to produce ground deformations of the near surface that have retrograde elliptical particle motions. In the past decade, increased deployments of colocated seismometers and infrasound sensors have driven efforts to use the transfer function between direct acoustic-to-seismic coupling to infer near-surface material properties including seismic velocity structure and elastic moduli. In this study, we use a small aperture (≈600 m) array of broadband seismometers installed in different manners and depths in both granite and sedimentary overburden to understand the fundamental nature and repeatability of seismic excitation from 1 to 15 Hz using horizontally propagating acoustic waves generated by 97 local (2–10 km) explosions. In agreement with modelling, we find that the ground motions induced by acoustic-to-seismic coupling attenuate rapidly with depth. We confirm the modelled relation between acoustic and ground motion amplitudes, but show that within one acoustic wavelength, the uncertainty in the transfer coefficient between seismic and acoustic energy at a given seismic station increases linearly with separation distance between the seismic and acoustic sensor. We attribute this observation to the rapid decorrelation of the infrasonic wavefield across small spatial scales and recommend colocating seismic and infrasound sensors for use in studies seeking to invert for near-surface material properties. Additionally, contrary to acoustic-to-seismic coupling theory and prior observations, we find that seismometers emplaced in granite do not record retrograde elliptical particle motions in response to direct pressure loading. We rule out seismometer tilt effects as a likely source of this observations and suggest that existing models of acoustic-to-seismic excitation may be too simplistic for seismometers placed in high rigidity materials.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggac154","usgsCitation":"Anthony, R.E., Watzak, J., Ringler, A.T., and Wilson, D.C., 2022, Characteristics, relationships and precision of direct acoustic-to-seismic coupling measurements from local explosions: Geophysical Journal International, v. 230, no. 3, p. 2019-2035, https://doi.org/10.1093/gji/ggac154.","productDescription":"17 p.","startPage":"2019","endPage":"2035","ipdsId":"IP-135891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":402481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"230","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watzak, Josh","contributorId":292554,"corporation":false,"usgs":false,"family":"Watzak","given":"Josh","email":"","affiliations":[{"id":62934,"text":"Department of Geology and Geophysics, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":845038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":845040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232290,"text":"70232290 - 2022 - Overcoming “analysis paralysis” through better climate change scenario planning","interactions":[],"lastModifiedDate":"2022-06-24T17:27:32.368519","indexId":"70232290","displayToPublicDate":"2022-06-24T12:24:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming “analysis paralysis” through better climate change scenario planning","docAbstract":"This \"In Brief\" article describes the use of scenario planning to facilitate climate change adaptation in the National Park Service. It summarizes best practices and innovations for using climate change scenario planning, with an emphasis on management outcomes and manager perspectives. The scenario planning approach and management outcomes highlighted in this article are the culmination of more than a decade of collaboration between the USGS and the National Park Service.","language":"English","publisher":"National Park Service","usgsCitation":"Schuurman, G.W., Miller, B.W., Symstad, A., Runyon, A., and Robb, B.C., 2022, Overcoming “analysis paralysis” through better climate change scenario planning: Park Science, v. 36, no. 1.","ipdsId":"IP-140748","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":402480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402471,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/000/overcoming-analysis-paralysis-through-better-climate-change-scenario-planning.htm"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schuurman, Gregor W.","contributorId":173975,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":845041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":845042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":201095,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runyon, Amber N. 0000-0002-7282-1217","orcid":"https://orcid.org/0000-0002-7282-1217","contributorId":261745,"corporation":false,"usgs":false,"family":"Runyon","given":"Amber N.","affiliations":[{"id":52985,"text":"National Park Service Climate Change Response Program","active":true,"usgs":false}],"preferred":false,"id":845044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robb, Brecken C. 0000-0001-9016-249X","orcid":"https://orcid.org/0000-0001-9016-249X","contributorId":274644,"corporation":false,"usgs":true,"family":"Robb","given":"Brecken","email":"","middleInitial":"C.","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":845045,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70232285,"text":"70232285 - 2022 - Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah","interactions":[],"lastModifiedDate":"2022-09-15T14:10:59.9375","indexId":"70232285","displayToPublicDate":"2022-06-24T12:19:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah","docAbstract":"Streamflow regulation compounded by regional drought has resulted in up to 22% reduction in channel width, changes in channel planform, expansion of riparian vegetation, and alterations to floodplain habitat on the Colorado River in Meander Canyon, Utah. Although some changes in channel width occurred between the 1940s and 1980s, coinciding with major phases of upstream water development, larger decreases in channel width occurred between 1993 and 2006 during periods of exceptionally low annual floods. These findings illustrate that low runoff associated with regional drought and climate change may cause changes in river channel form that accelerate and compound the effects of upstream water development. Declining peak flows have also resulted in disconnection between the wetted channel and floodplains, where inundated back-levee depressions provide habitat used by two species of threatened and endangered native fish. Despite this disconnection, some back-levee depressions on the floodplain continue to be inundated by ~1.5-year recurrence floods via connections created by tributary mouths, floodplain outflow channels, and levee breaches excavated by resident beaver. These changes are shown by analysis of aerial images, high-resolution bathymetric and topographic measurements, and 2-dimensional streamflow modeling.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4014","usgsCitation":"Grams, P.E., Head, E., and Mueller, E., 2022, Effects of flow regulation and drought on geomorphology and floodplain habitat along the Colorado River in Canyonlands National Park, Utah: River Research and Applications, v. 38, no. 7, p. 1266-1276, https://doi.org/10.1002/rra.4014.","productDescription":"11 p.","startPage":"1266","endPage":"1276","ipdsId":"IP-136185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":402479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Canyonlands National Park, Green River, Meander Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.0445556640625,\n 38.043765107439675\n ],\n [\n -109.49249267578125,\n 38.043765107439675\n ],\n [\n -109.49249267578125,\n 38.541720956040386\n ],\n [\n -110.0445556640625,\n 38.541720956040386\n ],\n [\n -110.0445556640625,\n 38.043765107439675\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-06-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Head, Eric","contributorId":292552,"corporation":false,"usgs":false,"family":"Head","given":"Eric","email":"","affiliations":[{"id":49973,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":845024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":845025,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70232280,"text":"70232280 - 2022 - Prairie grouse and wind energy: The state of the science and implications for risk assessment","interactions":[],"lastModifiedDate":"2022-08-02T14:46:33.367822","indexId":"70232280","displayToPublicDate":"2022-06-24T12:07:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Prairie grouse and wind energy: The state of the science and implications for risk assessment","docAbstract":"How to shape the anticipated build-out of industrial-scale renewable energy in a way that minimizes risk to wildlife remains contentious. This challenge is well-illustrated in the grasslands and shrub-steppe of North America. Here, several endemic species of grouse are the focus of intensive, long-term conservation action by a host of governmental and non-governmental entities, many of whom are now asking: will anticipated increases in the number of wind-energy facilities exacerbate declines or prevent recovery of these species? To help answer this question, we synthesized the potential consequences of wind-energy development on prairie grouse. Published literature on behavior or demography of prairie-grouse at wind-energy facilities is sparse, with studies having been conducted at only 5 different facilities in the United States. Only two of these studies met the standard for robust impact analysis by collecting pre-construction data and using control sites or gradient designs. Published results from only one of the species Greater Prairie-Chicken were available for >1 facility. Most studies also drew conclusions based on short (<4 years) periods of study, which is potentially problematic when studying these highly philopatric species. Given these caveats, we found that, in the short-term, adult survival and nest success appear largely unaffected in populations exposed to wind-energy facilities. However, changes in habitat use by female Greater Sage-Grouse and female Greater Prairie-Chicken during some seasons and reduced lek persistence among male Greater Prairie-Chickens near wind turbines suggest behavioral responses that may have demographic consequences. Prairie grouse can coexist with wind-energy facilities in some cases, at least in the short term, but important uncertainties remain, including the potential for long-term, cumulative effects of the extensive development expected as states attempt to meet goals for generating electricity from renewable sources.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1305","usgsCitation":"Lloyd, J., Aldridge, C.L., Allison, T.D., LeBeau, C.W., McNew, L.B., and Winder, V.L., 2022, Prairie grouse and wind energy: The state of the science and implications for risk assessment: Wildlife Society Bulletin, v. 46, no. 3, e1305, 15 p., https://doi.org/10.1002/wsb.1305.","productDescription":"e1305, 15 p.","ipdsId":"IP-131650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1305","text":"Publisher Index Page"},{"id":402478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.064453125,\n 61.48075950007598\n ],\n [\n -141.15234374999997,\n 59.712097173322924\n ],\n [\n -130.95703125,\n 57.79794388498275\n ],\n [\n -119.53125,\n 37.50972584293751\n ],\n [\n -95.712890625,\n 36.87962060502676\n ],\n [\n -96.15234375,\n 42.4234565179383\n ],\n [\n -96.767578125,\n 46.800059446787316\n ],\n [\n -91.93359375,\n 46.800059446787316\n ],\n [\n -87.890625,\n 48.63290858589535\n ],\n [\n -84.638671875,\n 47.989921667414194\n ],\n [\n -77.16796875,\n 47.39834920035926\n ],\n [\n -77.6953125,\n 55.1286490684888\n ],\n [\n -79.453125,\n 54.77534585936447\n ],\n [\n -78.662109375,\n 51.998410382390325\n ],\n [\n -79.89257812499999,\n 51.069016659603896\n ],\n [\n -82.6171875,\n 52.696361078274485\n ],\n [\n -82.265625,\n 55.1286490684888\n ],\n [\n -84.990234375,\n 55.229023057406344\n ],\n [\n -116.3671875,\n 61.438767493682825\n ],\n [\n -141.064453125,\n 61.48075950007598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lloyd, John D.","contributorId":292535,"corporation":false,"usgs":false,"family":"Lloyd","given":"John D.","affiliations":[{"id":62931,"text":"Prairie Grouse and Wind Energy: The State of the Science And Implications for Risk Assessment","active":true,"usgs":false}],"preferred":false,"id":844994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":844995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, Taber D.","contributorId":292536,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","email":"","middleInitial":"D.","affiliations":[{"id":39329,"text":"American Wind Wildlife Institute","active":true,"usgs":false}],"preferred":false,"id":844996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBeau, Chad W.","contributorId":292537,"corporation":false,"usgs":false,"family":"LeBeau","given":"Chad","email":"","middleInitial":"W.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":844997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":844998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winder, Virginia L. 0000-0002-5756-3993","orcid":"https://orcid.org/0000-0002-5756-3993","contributorId":245355,"corporation":false,"usgs":false,"family":"Winder","given":"Virginia","email":"","middleInitial":"L.","affiliations":[{"id":49158,"text":"Department of Biology, Benedictine College, Atchison, KS, 66002 USA, vwinder@benedictine.edu","active":true,"usgs":false}],"preferred":false,"id":844999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}