{"pageNumber":"241","pageRowStart":"6000","pageSize":"25","recordCount":184733,"records":[{"id":70248580,"text":"dr1181 - 2023 - Developing satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","interactions":[],"lastModifiedDate":"2026-02-04T20:16:01.115935","indexId":"dr1181","displayToPublicDate":"2023-09-18T09:02:50","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1181","displayTitle":"Developing Satellite-Estimated Precipitation Monthly Reports for Selected Locations in the Republic of the Marshall Islands","title":"Developing satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","docAbstract":"

The Republic of the Marshall Islands (also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. U.S. Geological Survey scientists and managers of natural resources and natural hazards in the Marshall Islands used Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (called “IMERG”) satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands. The IMERG data are available in a U.S. Geological Survey data release at https://doi.org/10.5066/P95ANG3N. The monthly reports itself are available in a U.S. Geological Survey data release at https://doi.org/10.5066/P90J1426. This Data Report describes the collaboration process and results of developing the report content and layout.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1181","usgsCitation":"Senay, G.B., Helweg, D.A., Kagone, S., Taylor, J.B., Cecere, T., Eastmond, T., Koch, A., Nelson, K., and Rufus, L., 2023, Developing satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands: U.S. Geological Survey Data Report 1181, 7 p., https://doi.org/10.3133/dr1181.","productDescription":"Report: v, 7 p.; 2 Data Releases","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150439","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":499556,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115405.htm","linkFileType":{"id":5,"text":"html"}},{"id":420849,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1181/dr1181.pdf","text":"Report","size":"792 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1181"},{"id":420850,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1181/dr1181.XML","linkFileType":{"id":8,"text":"xml"}},{"id":420853,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J1426","text":"USGS data release","linkHelpText":"Monthly satellite-estimated precipitation reports for the Republic of the Marshall Islands"},{"id":420888,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1181/full","linkFileType":{"id":5,"text":"html"}},{"id":420848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1181/coverthb.jpg"},{"id":420851,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1181/images/"},{"id":420852,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95ANG3N","text":"USGS data release","linkHelpText":"Satellite precipitation estimates for selected locations in the Republic of the Marshall Islands"}],"country":"Republic of the Marshall Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 160,\n 12\n ],\n [\n 160,\n 4\n ],\n [\n 172,\n 4\n ],\n [\n 172,\n 12\n ],\n [\n 160,\n 12\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-09-18","noUsgsAuthors":false,"publicationDate":"2023-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":883158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helweg, David A. 0000-0002-8640-9856","orcid":"https://orcid.org/0000-0002-8640-9856","contributorId":221111,"corporation":false,"usgs":true,"family":"Helweg","given":"David A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":883159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":210980,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":883160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, John B.","contributorId":300330,"corporation":false,"usgs":false,"family":"Taylor","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":883161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cecere, Thomas 0000-0001-5254-8404 tcecere@usgs.gov","orcid":"https://orcid.org/0000-0001-5254-8404","contributorId":221727,"corporation":false,"usgs":true,"family":"Cecere","given":"Thomas","email":"tcecere@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":883162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eastmond, Tiare","contributorId":304080,"corporation":false,"usgs":false,"family":"Eastmond","given":"Tiare","email":"","affiliations":[{"id":25469,"text":"U.S. Agency for International Development","active":true,"usgs":false}],"preferred":false,"id":883167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Koch, Amy","contributorId":304081,"corporation":false,"usgs":false,"family":"Koch","given":"Amy","email":"","affiliations":[{"id":65354,"text":"USDA Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":883168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":883163,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rufus, Lajikit","contributorId":304085,"corporation":false,"usgs":false,"family":"Rufus","given":"Lajikit","email":"","affiliations":[{"id":65963,"text":"Ministry of Natural Resources and Commerce, Republic of the Marshall Islands","active":true,"usgs":false}],"preferred":false,"id":883169,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70248986,"text":"70248986 - 2023 - Strategic monitoring to minimize misclassification errors from conservation status assessments","interactions":[],"lastModifiedDate":"2023-09-28T12:03:55.592876","indexId":"70248986","displayToPublicDate":"2023-09-18T06:59:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Strategic monitoring to minimize misclassification errors from conservation status assessments","docAbstract":"

Classifying species into risk categories is a ubiquitous process in conservation decision-making affecting regulatory procedures, conservation actions, and guiding resource allocation at global, national, and regional scales. However, monitoring programs often do not provide data required for accurate species classification decisions. Misclassification can lead to otherwise preventable species extinctions, undue regulatory burden, poor allocation of limited conservation resources, and can undermine species conservation legislation. We developed a framework that evaluates monitoring designs based on the ability to correctly inform a species classification decision, where minimizing the risk of misclassification is the central objective. We further evaluated monitoring designs by calculating the expected value of information and explored the relationship between statistical power to detect trends and misclassification. Our measure of misclassification risk, which can be tailored to the decision context, clarified the costs of over- and under-protection. High power to detect trends often corresponded to accurate species classification decisions. However, in several scenarios power to detect trends was low but the ability to correctly inform the classification decision was high. The value of information generally increased with monitoring intensity and quantified the tradeoffs between spatial and temporal replication. Our framework allows managers to assess monitoring program performance with direct implications for conservation decision-making. Our framework affords practitioners an opportunity to evaluate the effectiveness of monitoring programs a priori focusing on improving conservation decisions. We demonstrate that prioritizing monitoring to minimize misclassification errors can improve monitoring efficiency and conservation decision-making with considerable practical applications and benefits for species conservation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.110260","usgsCitation":"Dunham, K.D., Devers, P.K., Lawson, A.J., Lyons, J.E., McGowan, C., and Royle, A., 2023, Strategic monitoring to minimize misclassification errors from conservation status assessments: Biological Conservation, v. 286, 110260, 12 p., https://doi.org/10.1016/j.biocon.2023.110260.","productDescription":"110260, 12 p.","ipdsId":"IP-145093","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":421338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dunham, Kylee Denise 0000-0002-9249-0590","orcid":"https://orcid.org/0000-0002-9249-0590","contributorId":296991,"corporation":false,"usgs":true,"family":"Dunham","given":"Kylee","email":"","middleInitial":"Denise","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":884426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Devers, Patrick K.","contributorId":167173,"corporation":false,"usgs":false,"family":"Devers","given":"Patrick","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":884431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":884429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":884430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":884428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":884427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249356,"text":"70249356 - 2023 - Canada Basin tectono-sedimentary element, Arctic Ocean","interactions":[],"lastModifiedDate":"2023-10-04T11:58:18.271816","indexId":"70249356","displayToPublicDate":"2023-09-18T06:56:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17042,"text":"Geological Society of London Monograph, Arctic Sedimentary Basins","active":true,"publicationSubtype":{"id":10}},"title":"Canada Basin tectono-sedimentary element, Arctic Ocean","docAbstract":"
The Canada Basin (CB) formed during a short period of seafloor spreading inferred to be Early Cretaceous in age. Brookian strata of inferred Early Cretaceous–Holocene age comprise the sedimentary fill of the Canada Basin Tectono-Sedimentary Element (CB TSE). Although the CB has remained tectonically quiet since seafloor spreading ceased, both proximal and distal tectonism (Alpha Ridge magmatism, and the Cordilleran, Brooks Range and Eurekan orogenies) have influenced sediment source areas, dispersal paths and thicknesses in the basin. In the Neogene, the dominant source of sediments was the Mackenzie River, which drains northern portions of the Cordilleran orogen. The CB TSE is one of the most remote and challenging places on Earth to explore. Although regional seismic reflection and refraction data exist, there are no boreholes to constrain interpretations. Existing published estimates of hydrocarbon potential range from limited to moderate to significant.
","language":"English","publisher":"Geological Society of London","doi":"10.1144/M57-2022-49","usgsCitation":"Hutchinson, D., Houseknecht, D.W., and Mosher, D., 2023, Canada Basin tectono-sedimentary element, Arctic Ocean: Geological Society of London Monograph, Arctic Sedimentary Basins, v. 57, 18 p., https://doi.org/10.1144/M57-2022-49.","productDescription":"18 p.","ipdsId":"IP-140442","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/m57-2022-49","text":"Publisher Index Page"},{"id":421582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","noUsgsAuthors":false,"publicationDate":"2023-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":885296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, David","contributorId":174895,"corporation":false,"usgs":false,"family":"Mosher","given":"David","affiliations":[],"preferred":false,"id":885297,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248861,"text":"70248861 - 2023 - Intramolecular carbon isotope geochemistry of butane isomers from laboratory maturation and Monte-Carlo simulations of kerogen types I, II, and III","interactions":[],"lastModifiedDate":"2023-09-25T11:44:31.032693","indexId":"70248861","displayToPublicDate":"2023-09-18T06:43:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Intramolecular carbon isotope geochemistry of butane isomers from laboratory maturation and Monte-Carlo simulations of kerogen types I, II, and III","docAbstract":"

Position-specific (PS) carbon isotope compositions of light hydrocarbons such as propane and butane isomers (n-butane and i-butane) can provide a wealth of information on the history of natural gases in the subsurface reservoirs and other environments. For PS carbon isotope analysis of butane isomers, we have established a GC-pyrolysis-GC-isotope ratio mass spectrometry method with demonstrated accuracy. With this method, we analyzed PS δ13C values of butane isomers generated from the systematic laboratory pyrolysis experiments of three different kerogen types (I, II, and III) at temperatures of 310–430 °C with corresponding thermal maturity (Easy %Ro) ranging from 0.7 to 3.3. The observed evolution in the abundances of butane isomers can be interpreted and semi-quantitatively modeled based on the abundances of different C\"singleC bonds within the kerogens at low maturity and thermal degradation of butane isomers at high maturity. The δ13C values at the central sites of both nC4 and iC4 were heavier than those at the terminal positions, similar to our previous observations of propane. Their isotopic evolution with the maturity were controlled largely by kinetic isotope effects associated with breaking of different C\"singleC bonds during the generation and degradation of butane isomers. Kinetic Monte Carlo (kMC) simulations of n-butane generated from thermal cracking of model kerogens (I, II, and III) and an oil with a series of reactions (homolytic cleavage, β-scission, radical isomerization, H-abstraction, and termination by radical recombination) provided generally consistent results with the experimental observations, although the difference in PS δ13C values between the central and terminal positions are somewhat overestimated. On the other hand, the kMC simulation with homolytic cleavage and capping reactions alone produced significant deviations from the experimental results. Re-assessment of very limited data of PS δ13C values of natural butanes with our experimental and simulation results show that biodegradation significantly increased δ13C values at the central positions, not only of propane, but also of both butane isomers. This study lays a foundation and demonstrates the potential of PS isotope geochemistry of butane isomers to further improve our understanding of the sources, and geochemical and microbial processes of light hydrocarbons in the subsurface and other natural environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2023.09.003","usgsCitation":"Li, X., Xie, H., Birdwell, J.E., McGovern, G., and Horita, J., 2023, Intramolecular carbon isotope geochemistry of butane isomers from laboratory maturation and Monte-Carlo simulations of kerogen types I, II, and III: Geochimica et Cosmochimica Acta, v. 360, p. 57-67, https://doi.org/10.1016/j.gca.2023.09.003.","productDescription":"11 p.","startPage":"57","endPage":"67","ipdsId":"IP-152055","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":442066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2023.09.003","text":"Publisher Index Page"},{"id":421118,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"360","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Xiaoqiang","contributorId":298943,"corporation":false,"usgs":false,"family":"Li","given":"Xiaoqiang","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":883972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xie, Hao","contributorId":243585,"corporation":false,"usgs":false,"family":"Xie","given":"Hao","email":"","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":883973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":883974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGovern, Gregory","contributorId":330092,"corporation":false,"usgs":false,"family":"McGovern","given":"Gregory","email":"","affiliations":[{"id":78810,"text":"Department of Chemistry and Physics, West Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":883975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horita, Juske","contributorId":300474,"corporation":false,"usgs":false,"family":"Horita","given":"Juske","affiliations":[{"id":32968,"text":"Oak Ridge National Laboratory, Oak Ridge, TN","active":true,"usgs":false}],"preferred":false,"id":883976,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251437,"text":"70251437 - 2023 - Spectral characterization of dissolved organic matter in groundwater to assess mixing with oil-field water near selected oil fields, southern California","interactions":[],"lastModifiedDate":"2024-02-10T13:55:30.217413","indexId":"70251437","displayToPublicDate":"2023-09-16T07:51:58","publicationYear":"2023","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":"Spectral characterization of dissolved organic matter in groundwater to assess mixing with oil-field water near selected oil fields, southern California","docAbstract":"

Samples of oil-field water (oil wells, injectate, disposal ponds) and groundwater near selected oil and gas fields in southern California were analyzed for dissolved organic carbon (DOC) concentration and by optical spectroscopic techniques (i.e., absorbance and fluorescence) to assess whether these measurements can be used to distinguish between oil-field water (Oil Field), native groundwater (WGnat), and native groundwater mixed with oil-field water from surface (WGsurf) or subsurface sources (WGsub), and if so whether commonly reported optical measurements can be used as a screening tool to identify such water. Concentrations of DOC were significantly (p < 0.0001) higher (67 to 2934 mg C L−1) in oil-field water compared to native groundwater samples (<5.0 mg C L−1). Individual optical properties varied by water category and frequently overlapped. However, multivariate statistical analysis showed that when evaluated in combination, 10 optical properties were determined by discriminant analysis to be significant (p < 0.05) in distinguishing among water categories. Principal component analysis of those 10 optical properties showed that these properties can be used to successfully distinguish Oil Field samples from WGnat, WGsurf, and WGsub even when mixing fractions are low (approximately 10 %).

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.166970","usgsCitation":"Hansen, A., Kraus, T.E., Landon, M.K., and McMahon, P.B., 2023, Spectral characterization of dissolved organic matter in groundwater to assess mixing with oil-field water near selected oil fields, southern California: Science of the Total Environment, v. 905, 166970, 13 p., https://doi.org/10.1016/j.scitotenv.2023.166970.","productDescription":"166970, 13 p.","ipdsId":"IP-117786","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":442070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.166970","text":"Publisher Index Page"},{"id":425566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.38583234532425,\n 33.579820141579305\n ],\n [\n -118.38583234532425,\n 36.78462762816734\n ],\n [\n -121.18734601719926,\n 36.78462762816734\n ],\n [\n -121.18734601719926,\n 33.579820141579305\n ],\n [\n -118.38583234532425,\n 33.579820141579305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"905","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Angela 0000-0003-0938-7611 anhansen@usgs.gov","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":171551,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela","email":"anhansen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894583,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249488,"text":"70249488 - 2023 - Social and biological perspectives to investigate and address illegal shooting of raptors","interactions":[],"lastModifiedDate":"2023-10-11T11:49:07.480516","indexId":"70249488","displayToPublicDate":"2023-09-16T06:46:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Social and biological perspectives to investigate and address illegal shooting of raptors","docAbstract":"

Humans have shot raptors for centuries. However, in many countries these actions have been illegal since the mid-twentieth century. Despite this history, there is not a comprehensive understanding of the characteristics of this activity, its frequency, and why it occurs. We used literature review and principles drawn from ecology, sociology, and criminology to understand this problem. First, we review literature on raptor shooting globally to explore documented motivations for shooting and we describe the history of raptor shooting in the United States of America (USA). Then, to illustrate the contemporary frequency and geographic breadth of the shooting of raptors, we systematically compile records from scientific and media reports from across the USA. Finally, we outline a transdisciplinary framework to meet the challenge of understanding and managing illegal shooting of raptors. Our framework encompasses six best practices: (1) understand the biology of the problem, (2) build professional networks and partnerships, (3) leverage engagement and public support, (4) apply insights from study of human-wildlife interactions, (5) draw lessons from criminology, and (6) use implementation science to evaluate outcomes. We illustrate application of these best practices with a case study from an Illegal Shooting Working Group recently formed in Boise, Idaho, USA. There is growing recognition that illegal shooting of raptors is a pressing conservation challenge. Solving this challenge can be facilitated by inclusion of information from multiple fields of study; the approach we outline provides one potential mechanism to address this issue.

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Virginia","interactions":[],"lastModifiedDate":"2026-03-12T21:14:59.986084","indexId":"sir20235091","displayToPublicDate":"2023-09-15T13:20:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5091","displayTitle":"Groundwater Quality in Abandoned Underground Coal Mine Aquifers Across West Virginia","title":"Groundwater quality in abandoned underground coal mine aquifers across West Virginia","docAbstract":"

Abandoned underground coal mine aquifers cover a large part of West Virginia and could supply substantial quantities of water for agricultural, industrial, residential, and public use. Several Federal, State, and academic institutions have studied the availability and quality of water stored in abandoned underground coal mine aquifers for a variety of applications, such as economic development, geothermal energy, aquaculture, and wastewater disposal. However, the spatial and stratigraphic controls on water quality produced from abandoned underground coal mine aquifers are still poorly constrained on a state-wide basis. In response to these knowledge gaps, the U.S. Geological Survey initiated a study, in cooperation with the West Virginia Department of Environmental Protection, to understand the applicability of using existing secondary source data for understanding water quality in abandoned underground coal mine aquifers across the State.

Results from the calculation of net alkalinity indicated that Upper Pennsylvanian coal beds primarily produce net acidic waters and Lower Pennsylvanian coal beds primarily produce net alkaline waters. Multivariate statistical analysis of elemental data supports the conclusion that abandoned underground coal mine aquifers in the northern part of the State generally produce poor water quality and abandoned underground coal mine aquifers in southern West Virginia primarily produce good water quality. These results substantiate the potential benefits of leveraging abandoned underground coal mine aquifers as a multifaceted resource in West Virginia and can be used as a reconnaissance tool for water managers to characterize abandoned underground coal mine aquifers on a local scale.

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Virginia\",\"nation\":\"USA \"}}]}","contact":"

Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
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","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-09-15","noUsgsAuthors":false,"publicationDate":"2023-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":883153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connock, Gregory T. 0000-0002-7111-7551","orcid":"https://orcid.org/0000-0002-7111-7551","contributorId":293288,"corporation":false,"usgs":true,"family":"Connock","given":"Gregory","email":"","middleInitial":"T.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":883155,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248678,"text":"70248678 - 2023 - Early Pliocene (Zanclean) stratigraphic framework for PRISM5/PlioMIP3 time slices","interactions":[],"lastModifiedDate":"2023-11-07T16:04:50.445619","indexId":"70248678","displayToPublicDate":"2023-09-15T10:13:18","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Early Pliocene (Zanclean) stratigraphic framework for PRISM5/PlioMIP3 time slices","docAbstract":"

Global reconstructions of Pliocene climate provide important insights into how the climate system operates under elevated temperatures and atmospheric CO2 levels. These reconstructions have been used extensively in paleoclimate modeling experiments for comparison to simulated conditions, and as boundary conditions.Most previous work focused on the Late Pliocene interval known as the mid Piacenzian Warm Period (mPWP), the interval originally identified by the U.S. Geological Survey Pliocene Research, Interpretation and Synoptic Mapping Project (PRISM) as the PRISM interval or Mid Pliocene Warm Period. The term Mid Pliocene Warm Period is a misnomer due to changes to the geological time scale, and its use should be discontinued. The Pliocene Model Intercomparison Project (PlioMIP), now in its third phase, is expanding to include a focus on the Early Pliocene (Zanclean). PlioMIP3 experiments will allow comparison of environmental and climatic conditions before and after closure of the Central American Seaway (CAS). PlioMIP3 used the annual insolation pattern at the top of the atmosphere to determine time slices in the Zanclean that have orbital configurations that are most similar to modern. Two have been selected by PlioMIP and adopted by PRISM for inclusion in future studies: PRISM5.1 (4.474 Ma) and PRISM5.2 (4.870 Ma). Here we establish the stratigraphic framework for these Early Pliocene time slices and furnish information to help locate these intervals in proxy records of paleoenvironmental data using oxygen isotope stratigraphy, paleomagnetic stratigraphy, biostratigraphy, and biochronology (calibrated planktic foraminifer and calcareous nannofossil events).

","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.20.3.02","usgsCitation":"Dowsett, H., Robinson, M., Foley, K.M., Hunter, S., Dolan, A.M., and Tindall, J.C., 2023, Early Pliocene (Zanclean) stratigraphic framework for PRISM5/PlioMIP3 time slices: Stratigraphy, v. 20, no. 3, p. 225-231, https://doi.org/10.29041/strat.20.3.02.","productDescription":"8 p.","startPage":"225","endPage":"231","ipdsId":"IP-153122","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":420893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":316789,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":883184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":883185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":883186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Steve 0000-0002-4593-6238","orcid":"https://orcid.org/0000-0002-4593-6238","contributorId":302870,"corporation":false,"usgs":false,"family":"Hunter","given":"Steve","email":"","affiliations":[{"id":40084,"text":"Leeds Univ.","active":true,"usgs":false}],"preferred":false,"id":883330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolan, Aisling M","contributorId":206287,"corporation":false,"usgs":false,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":883331,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tindall, Julia C.","contributorId":147376,"corporation":false,"usgs":false,"family":"Tindall","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":883332,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70247963,"text":"70247963 - 2023 - Avian influenza in wild birds","interactions":[],"lastModifiedDate":"2023-10-16T13:45:41.393121","indexId":"70247963","displayToPublicDate":"2023-09-15T09:40:09","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Avian influenza in wild birds","docAbstract":"Influenza A viruses (IAVs)maintained among wild waterfowl, gulls, shorebirds, and some seabirds, and typically do not cause disease. Some avian-origin IAVs that have previously spilled over into domestic poultry have developed a highly pathogenic phenotype and have become important pathogens affecting both wild birds and poultry. These avian-origin IAVs have important implications to the production and trade of domestic birds, conservation and management of wild birds, and the risk of spillover of zoonotic influenza to humans handling infected birds.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife disease and health in conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","usgsCitation":"Ramey, A.M., 2023, Avian influenza in wild birds, chap. of Wildlife disease and health in conservation, p. 309-325.","productDescription":"17 p.","startPage":"309","endPage":"325","ipdsId":"IP-134193","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":421191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420227,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.press.jhu.edu/books/title/12727/wildlife-disease-and-health-conservation"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Jessup, David A.","contributorId":43206,"corporation":false,"usgs":false,"family":"Jessup","given":"David A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":886203,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Radcliffe, Robin W.","contributorId":329984,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Robin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":886204,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"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":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":881348,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249845,"text":"70249845 - 2023 - What evidence exists on the ecological and physical effects of built structures in shallow, tropical coral reefs? A systematic map protocol","interactions":[],"lastModifiedDate":"2023-11-02T14:22:32.977468","indexId":"70249845","displayToPublicDate":"2023-09-15T09:19:36","publicationYear":"2023","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":"What evidence exists on the ecological and physical effects of built structures in shallow, tropical coral reefs? A systematic map protocol","docAbstract":"

Background

Shallow, tropical coral reefs face compounding threats from habitat degradation due to coastal development and pollution, impacts from storms and sea-level rise, and pulse disturbances like blast fishing, mining, dredging, and ship groundings that reduce coral reefs’ height and variability. One approach toward restoring coral reef structure from these threats is deploying built structures. Built structures range from engineered modules and repurposed materials to underwater sculptures and intentionally placed natural rocks. Restoration practitioners and coastal managers increasingly consider incorporating built structures, including nature-based solutions, into coral reef-related applications. Yet, synthesized evidence on the ecological and physical performance of built structure interventions across a variety of contexts (e.g., restoration, coastal protection, mitigation, tourism) is not readily available to guide decisions. To help inform management decisions, here we aim to document the global evidence base on the ecological and physical performance of built structures in shallow (≤ 30 m) tropical (35° N to 35° S latitude) coral ecosystems. The collated evidence base on use cases and associated ecological and physical outcomes of built structure interventions can help inform future consideration of built structures in reef restoration design, siting, and implementation.

Method

To discover evidence on the performance of built structures in coral reef-related applications, such as restoration, mitigation, and coastal protection, primary literature will be searched across indexing platforms, bibliographic databases, open discovery citation indexes, a web-based search engine, a novel literature discovery tool, and organizational websites. The geographic scope of the search is global, and there is no limitation to temporal scope. Primary literature will be screened first at the level of title and abstract and then at the full text level against defined eligibility criteria for the population, intervention, study type, and outcomes of interest. Metadata will be extracted from studies that pass both screening levels. The resulting data will be analyzed to determine the distribution and abundance of evidence. Results will be made publicly available and reported in a systematic map that includes a narrative description, identifies evidence clusters and gaps, and outlines future research directions on the use of built structures in coral reef-related applications.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s13750-023-00313-2","usgsCitation":"Paxton, A., Swannack, T., Piercy, C., Altman, S., Poussard, L., Puckett, B., Storlazzi, C.D., and Viehman, T., 2023, What evidence exists on the ecological and physical effects of built structures in shallow, tropical coral reefs? A systematic map protocol: Environmental Evidence, v. 12, 19, 17 p., https://doi.org/10.1186/s13750-023-00313-2.","productDescription":"19, 17 p.","ipdsId":"IP-151595","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-023-00313-2","text":"Publisher Index Page"},{"id":422332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2023-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Avery 0000-0002-4871-9167","orcid":"https://orcid.org/0000-0002-4871-9167","contributorId":331325,"corporation":false,"usgs":false,"family":"Paxton","given":"Avery","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":887361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swannack, Tom","contributorId":331326,"corporation":false,"usgs":false,"family":"Swannack","given":"Tom","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":887362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piercy, Candice","contributorId":331327,"corporation":false,"usgs":false,"family":"Piercy","given":"Candice","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":887363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Altman, Safra","contributorId":331328,"corporation":false,"usgs":false,"family":"Altman","given":"Safra","email":"","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":887364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poussard, Leanne","contributorId":331346,"corporation":false,"usgs":false,"family":"Poussard","given":"Leanne","email":"","affiliations":[],"preferred":false,"id":887365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puckett, Brandon 0000-0001-9615-6242","orcid":"https://orcid.org/0000-0001-9615-6242","contributorId":331329,"corporation":false,"usgs":false,"family":"Puckett","given":"Brandon","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":887366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":887367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Viehman, T. Shay 0000-0001-8505-665X","orcid":"https://orcid.org/0000-0001-8505-665X","contributorId":331330,"corporation":false,"usgs":false,"family":"Viehman","given":"T. Shay","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":887368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70248715,"text":"70248715 - 2023 - Avian malaria and the extinction of Hawaiian forest birds","interactions":[],"lastModifiedDate":"2023-10-16T13:47:08.61093","indexId":"70248715","displayToPublicDate":"2023-09-15T09:17:31","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Avian malaria and the extinction of Hawaiian forest birds","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife disease and health in conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Atkinson, C., 2023, Avian malaria and the extinction of Hawaiian forest birds, chap. of Wildlife disease and health in conservation, p. 326-347.","productDescription":"12 p.","startPage":"326","endPage":"347","ipdsId":"IP-135063","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":420950,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Jessup, David A.","contributorId":43206,"corporation":false,"usgs":false,"family":"Jessup","given":"David A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":886205,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Radcliffe, Robin W.","contributorId":329984,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Robin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":886206,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Atkinson, Carter T. 0000-0002-4232-5335","orcid":"https://orcid.org/0000-0002-4232-5335","contributorId":302619,"corporation":false,"usgs":true,"family":"Atkinson","given":"Carter T.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":883287,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70248481,"text":"70248481 - 2023 - Global projections of storm surges using high-resolution CMIP6 climate models","interactions":[],"lastModifiedDate":"2023-09-15T14:16:45.9677","indexId":"70248481","displayToPublicDate":"2023-09-15T09:09:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Global projections of storm surges using high-resolution CMIP6 climate models","docAbstract":"In the coming decades, coastal flooding will become more frequent due to sea-level rise and potential changes in storms. To produce global storm surge projections from 1950 to 2050, we force the Global Tide and Surge Model with a ∼25-km resolution climate model ensemble from the Coupled Model Intercomparison Project Phase 6 High Resolution Model Intercomparison Project (HighResMIP). This is the first time that such a high-resolution ensemble is used to assess changes in future storm surges across the globe. We validate the present epoch (1985–2014) against the ERA5 climate reanalysis, which shows a good overall agreement. However, there is a clear spatial bias with generally a positive bias in coastal areas along semi-enclosed seas and negative bias in equatorial regions. Comparing the future epoch (2021–2050) against the historical epoch (1951–1980), we project ensemble-median changes up to 0.1 (or 20%) in the 1 in 10-year storm surge levels. These changes are not uniform across the globe with decreases along the coast of Mediterranean and northern Africa and southern Australia and increases along the south coast of Australia and Alaska. There are also increases along (parts) of the coasts of northern Caribbean, eastern Africa, China and the Korean peninsula, but with less agreement among the HighResMIP ensemble. Information resulting from this study can be used to inform broad-scale assessment of coastal impacts under future climate change.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EF003479","usgsCitation":"Muis, S., Aerts, J., Antolinez, J.A., Dullaart, J.C., Duong, T.M., Erikson, L.H., Haarsma, R.J., Irazoqui Apecechea, M., Mengel, M., Le Bars, D., O'Neill, A., Ranasinghe, R., Roberts, M.J., Verlaan, M., Ward, P., and Yan, K., 2023, Global projections of storm surges using high-resolution CMIP6 climate models: Earth's Future, v. 11, no. 9, e2023EF003479, 17 p., https://doi.org/10.1029/2023EF003479.","productDescription":"e2023EF003479, 17 p.","ipdsId":"IP-143098","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442080,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ef003479","text":"Publisher Index Page"},{"id":420834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Muis, Sanne 0000-0002-8145-0171","orcid":"https://orcid.org/0000-0002-8145-0171","contributorId":305488,"corporation":false,"usgs":false,"family":"Muis","given":"Sanne","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":883062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aerts, Jeroen C. J. H.","contributorId":329702,"corporation":false,"usgs":false,"family":"Aerts","given":"Jeroen C. J. H.","affiliations":[{"id":49403,"text":"Deltares, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Antolinez, Jose A. A.","contributorId":329703,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A. A.","affiliations":[{"id":78694,"text":"TU Delft, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dullaart, Job C.","contributorId":329704,"corporation":false,"usgs":false,"family":"Dullaart","given":"Job","email":"","middleInitial":"C.","affiliations":[{"id":78695,"text":"Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duong, Trang Minh","contributorId":247859,"corporation":false,"usgs":false,"family":"Duong","given":"Trang","email":"","middleInitial":"Minh","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":883066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":883067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haarsma, Rein J.","contributorId":329707,"corporation":false,"usgs":false,"family":"Haarsma","given":"Rein","email":"","middleInitial":"J.","affiliations":[{"id":78698,"text":"KNMI, De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Irazoqui Apecechea, Maialen","contributorId":329708,"corporation":false,"usgs":false,"family":"Irazoqui Apecechea","given":"Maialen","email":"","affiliations":[{"id":78699,"text":"Deltares, Delft, The Netherlands; Mercator Ocean, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":883069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mengel, Matthias","contributorId":297268,"corporation":false,"usgs":false,"family":"Mengel","given":"Matthias","email":"","affiliations":[{"id":64334,"text":"Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":883071,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Le Bars, Dewi","contributorId":329709,"corporation":false,"usgs":false,"family":"Le Bars","given":"Dewi","email":"","affiliations":[{"id":78698,"text":"KNMI, De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":883072,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ranasinghe, Roshanka","contributorId":247857,"corporation":false,"usgs":false,"family":"Ranasinghe","given":"Roshanka","email":"","affiliations":[{"id":49677,"text":"IHE Delft Institute for Water Education","active":true,"usgs":false}],"preferred":false,"id":883073,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Roberts, Malcolm J.","contributorId":329710,"corporation":false,"usgs":false,"family":"Roberts","given":"Malcolm","email":"","middleInitial":"J.","affiliations":[{"id":64050,"text":"Met Office Hadley Centre, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":883074,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Verlaan, Martin","contributorId":329711,"corporation":false,"usgs":false,"family":"Verlaan","given":"Martin","email":"","affiliations":[{"id":78700,"text":"Deltares, Delft, The Netherlands; TU Delft, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883075,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ward, Philip J.","contributorId":329712,"corporation":false,"usgs":false,"family":"Ward","given":"Philip J.","affiliations":[{"id":78695,"text":"Vrije Universiteit Amsterdam, Amsterdam, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883076,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yan, Kun","contributorId":329713,"corporation":false,"usgs":false,"family":"Yan","given":"Kun","email":"","affiliations":[{"id":49403,"text":"Deltares, Delft, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":883077,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70248516,"text":"70248516 - 2023 - Characteristics of a sea louse (Caligus clemensi) epizootic in wild Pacific herring (Clupea pallasii)","interactions":[],"lastModifiedDate":"2023-12-04T17:16:32.047694","indexId":"70248516","displayToPublicDate":"2023-09-15T09:01:25","publicationYear":"2023","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}},"displayTitle":"Characteristics of a sea louse (Caligus clemensi) epizootic in wild Pacific herring (Clupea pallasii)","title":"Characteristics of a sea louse (Caligus clemensi) epizootic in wild Pacific herring (Clupea pallasii)","docAbstract":"

We characterized a natural sea louse epizootic of Caligus clemensi and the effects of parasitism on Pacific herring Clupea pallasii in Port Angeles Harbor, WA, USA. Infestation prevalence on newly metamorphosed age 0 Pacific herring reached 100% prevalence by mid-August. At this time, the mean louse intensity was 4.6 lice/fish, and a positive correlation occurred between louse intensity and herring body length. The epizootic then waned, with infestation prevalence decreasing to less than 25% and the mean parasite intensity falling below 1 louse. While skin injuries were not detected, motile lice preferentially aggregated around head and anterior dorsal areas. However, louse tropism became evenly distributed over the body as the parasite intensity increased. Louse-induced mortality in herring was negligible in controlled experiments. These results indicate that Caligus clemensi epizootics reach high prevalence, but also fade from mid-summer to early fall. Due to the predominant presence of motile copepod stages, we suggest that the epizootic fades because lice complete their life cycle and dislodge from the host; however, multiple explanations for epidemic fading are possible.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0070","usgsCitation":"Paez, D.J., Gregg, J.L., MacKenzie, A., Hall, S.A., and Hershberger, P., 2023, Characteristics of a sea louse (Caligus clemensi) epizootic in wild Pacific herring (Clupea pallasii): Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 12, p. 1847-1856, https://doi.org/10.1139/cjfas-2023-0070.","productDescription":"10 p.","startPage":"1847","endPage":"1856","ipdsId":"IP-151492","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":500997,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/129484","text":"External Repository"},{"id":435174,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KRGX06","text":"USGS data release","linkHelpText":"Caligus Clemensi prevalence and counts on Clupea pallasii from Port Angeles Harbor, WA and from a controlled laboratory experiment conducted at USGS Marrowstone Marine Field Station, WA"},{"id":420833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Port Angeles","otherGeospatial":"Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.4758968419792,\n 48.13387500563397\n ],\n [\n -123.482681352156,\n 48.12821478070612\n ],\n [\n -123.44740189923584,\n 48.11734539993694\n ],\n [\n -123.40839096571806,\n 48.10964486364236\n ],\n [\n -123.37446841483305,\n 48.10919185498068\n ],\n [\n -123.34631269759856,\n 48.115760089743475\n ],\n [\n -123.35547178633746,\n 48.129120458619866\n ],\n [\n -123.39787497494365,\n 48.142703710763726\n ],\n [\n -123.41449702487745,\n 48.144514539542484\n ],\n [\n -123.43451132989932,\n 48.144740888647874\n ],\n [\n -123.46063169408092,\n 48.13998734781467\n ],\n [\n -123.4758968419792,\n 48.13387500563397\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Páez, David James 0000-0001-9035-394X","orcid":"https://orcid.org/0000-0001-9035-394X","contributorId":296751,"corporation":false,"usgs":true,"family":"Páez","given":"David","middleInitial":"James","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacKenzie, Ashley 0000-0002-7402-7877 amackenzie@usgs.gov","orcid":"https://orcid.org/0000-0002-7402-7877","contributorId":150817,"corporation":false,"usgs":true,"family":"MacKenzie","given":"Ashley","email":"amackenzie@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Sophie Amanda 0000-0002-1907-0637","orcid":"https://orcid.org/0000-0002-1907-0637","contributorId":266032,"corporation":false,"usgs":true,"family":"Hall","given":"Sophie","email":"","middleInitial":"Amanda","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883140,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":883141,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248475,"text":"70248475 - 2023 - Leaf nitrogen affects photosynthesis and water use efficiency similarly in nitrogen-fixing and non-fixing trees","interactions":[],"lastModifiedDate":"2023-11-07T16:03:21.647594","indexId":"70248475","displayToPublicDate":"2023-09-15T08:56:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Leaf nitrogen affects photosynthesis and water use efficiency similarly in nitrogen-fixing and non-fixing trees","docAbstract":"
  1. Nitrogen (N)-fixing trees are thought to break a basic rule of leaf economics: higher leaf N concentrations do not translate into higher rates of carbon assimilation. Understanding how leaf N affects photosynthesis and water use efficiency (WUE) in this ecologically important group is critical.
  2. We grew six N-fixing and four non-fixing tree species for 4–5 years at four fertilization treatments in field experiments in temperate and tropical regions to assess how functional type (N fixer vs. non-fixer) and N limitation affected leaf N and how leaf N affected light-saturated photosynthesis (Asat), stomatal conductance (gsw) and WUE (WUEi and δ13C).
  3. Asat, WUEi and δ13C, but not gsw, increased with higher leaf N. Surprisingly, N-fixing and non-fixing trees displayed similar scaling between leaf N and these physiological variables, and this finding was supported by reanalysis of a global dataset. N fixers generally had higher leaf N than non-fixers, even when non-fixers were not N-limited at the leaf level. Leaf-level N limitation did not alter the relationship of Asat, gsw, WUEi and δ13C with leaf N, although it did affect the photosynthetic N use efficiency. Higher WUE was associated with higher productivity, whereas higher Asat was not.
  4. Synthesis: The ecological success of N-fixing trees depends on the effect of leaf N on carbon gain and water loss. Using a field fertilization experiment and reanalysis of a global dataset, we show that high leaf-level photosynthesis and WUE in N fixers stems from their higher average leaf N, rather than a difference between N fixers and non-fixers in the scaling of photosynthesis and WUE with leaf N. By clarifying the mechanism by which N fixers achieve and benefit from high WUE, our results further the understanding of global N fixer distributions.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.14194","usgsCitation":"Bytnerowicz, T., Funk, J.L., Menge, D.N., Perakis, S.S., and Wolf, A.A., 2023, Leaf nitrogen affects photosynthesis and water use efficiency similarly in nitrogen-fixing and non-fixing trees: Journal of Ecology, v. 111, no. 11, p. 2457-2471, https://doi.org/10.1111/1365-2745.14194.","productDescription":"15 p.","startPage":"2457","endPage":"2471","ipdsId":"IP-146356","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":442083,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14194","text":"Publisher Index Page"},{"id":420831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Bytnerowicz, Thomas A.","contributorId":329700,"corporation":false,"usgs":false,"family":"Bytnerowicz","given":"Thomas A.","affiliations":[{"id":34217,"text":"UT Austin","active":true,"usgs":false}],"preferred":false,"id":883047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funk, Jennifer L.","contributorId":260668,"corporation":false,"usgs":false,"family":"Funk","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":883048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Menge, Duncan N. L.","contributorId":305752,"corporation":false,"usgs":false,"family":"Menge","given":"Duncan","email":"","middleInitial":"N. L.","affiliations":[{"id":52786,"text":"Columbia U","active":true,"usgs":false}],"preferred":false,"id":883049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":883050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf, Amelia A.","contributorId":190685,"corporation":false,"usgs":false,"family":"Wolf","given":"Amelia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":883051,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248497,"text":"70248497 - 2023 - Karst groundwater vulnerability determined by modeled age and residence time tracers","interactions":[],"lastModifiedDate":"2023-09-15T13:52:37.801283","indexId":"70248497","displayToPublicDate":"2023-09-15T08:44:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Karst groundwater vulnerability determined by modeled age and residence time tracers","docAbstract":"Karst aquifers are a vital groundwater resource globally, but features such as rapid recharge and conduit flow make them highly vulnerable to land-surface contamination. We apply environmental age tracers to the south-central Texas Edwards aquifer, a karst resource in a rapidly urbanizing and drought-prone region, to assess vulnerability to land-surface contamination and risks unique to karst aquifers. We show that vulnerability of Edwards aquifer groundwater follows similar spatial and depth patterns common to porous-media type aquifers, despite complicated karst hydrogeologic features. Shallow and unconfined parts are more vulnerable to land-surface contamination than the deeper and confined parts, although even the oldest groundwater is mixed with some recent recharge. When modeled age-tracer results are coupled with other independent geochemical tracers of water-rock interaction specific to karst settings, they can yield insight into residence time and associated vulnerability.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL102853","usgsCitation":"Musgrove, M., Jurgens, B., and Opsahl, S.P., 2023, Karst groundwater vulnerability determined by modeled age and residence time tracers: Geophysical Research Letters, v. 50, no. 18, e2023GL102853, 10 p., https://doi.org/10.1029/2023GL102853.","productDescription":"e2023GL102853, 10 p.","ipdsId":"IP-145022","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":442084,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl102853","text":"Publisher Index Page"},{"id":435175,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CWM574","text":"USGS data release","linkHelpText":"Data for karst groundwater vulnerability determined by modeled age and residence time tracers"},{"id":420830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Edwards Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.81367338316534,\n 30.54366239128437\n ],\n [\n -100.81367338316534,\n 28.95832731254596\n ],\n [\n -96.77473383220936,\n 28.95832731254596\n ],\n [\n -96.77473383220936,\n 30.54366239128437\n ],\n [\n -100.81367338316534,\n 30.54366239128437\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"18","noUsgsAuthors":false,"publicationDate":"2023-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Musgrove, MaryLynn 0000-0003-1607-3864","orcid":"https://orcid.org/0000-0003-1607-3864","contributorId":223710,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203430,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opsahl, Stephen P. 0000-0002-4774-0415 sopsahl@usgs.gov","orcid":"https://orcid.org/0000-0002-4774-0415","contributorId":4713,"corporation":false,"usgs":true,"family":"Opsahl","given":"Stephen","email":"sopsahl@usgs.gov","middleInitial":"P.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883099,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248796,"text":"70248796 - 2023 - Coral reef ecosystem health","interactions":[],"lastModifiedDate":"2023-09-21T13:46:41.327373","indexId":"70248796","displayToPublicDate":"2023-09-15T08:43:50","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Coral reef ecosystem health","docAbstract":"

No abstract available.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Wildlife disease and health in conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Johns Hopkins University Press","usgsCitation":"Work, T.M., 2023, Coral reef ecosystem health, chap. of Wildlife disease and health in conservation, p. 7-21.","productDescription":"15 p.","startPage":"7","endPage":"21","ipdsId":"IP-134397","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":421026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421005,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://muse.jhu.edu/pub/1/edited_volume/chapter/3638106","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Jessup, David A.","contributorId":43206,"corporation":false,"usgs":false,"family":"Jessup","given":"David A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":883746,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Radcliffe, Robin W.","contributorId":329984,"corporation":false,"usgs":false,"family":"Radcliffe","given":"Robin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":883747,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":883701,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249503,"text":"70249503 - 2023 - Inventory of glaciers and perennial snowfields of the conterminous USA","interactions":[],"lastModifiedDate":"2023-10-12T13:41:50.165581","indexId":"70249503","displayToPublicDate":"2023-09-15T08:36:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Inventory of glaciers and perennial snowfields of the conterminous USA","docAbstract":"

This report summarizes an updated inventory of glaciers and perennial snowfields of the conterminous United States. The inventory is based on interpretation of mostly aerial imagery provided by the National Agricultural I magery Program, US Department of Agriculture, with some satellite imagery in places where aerial imagery was not suitable. The inventory includes all perennial snow and ice features ≥ 0.01 km2. Due to aerial survey schedules and seasonal snow cover, imageries acquired over a number of years were required. The earliest date is 2013 and the latest is 2020, but more than 73 % of the outlines were acquired from 2015 imagery. The inventory is compiled as shapefiles within a geographic information system that includes feature classification, area, and location. The inventory identified 1331 (366.52 ± 14.34 km2) glaciers, 1176 (31.01 ± 9.30 km2) perennial snowfields, and 35 (3.57 km2 ± no uncertainty) buried-ice features. The data including both the shapefiles and tabulated results are publicly available at https://doi.org/10.15760/geology-data.03 (Fountain and Glenn, 2022).

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Post-wildfire debris flows (PFDF) threaten life and property in western North America. They are triggered by short-duration, high-intensity rainfall. Following a wildfire, rainfall thresholds are developed that, if exceeded, indicate high likelihood of a PFDF. Existing weather forecast products allow forecasters to identify favorable atmospheric conditions for rainfall intensities that may exceed established thresholds at lead times needed for decision-making (e.g., ≥24 h). However, at these lead times, considerable uncertainty exists regarding rainfall intensity and whether the high-intensity rainfall will intersect the burn area. The approach of messaging on potential hazards given favorable conditions is generally effective in avoiding unanticipated PFDF impacts, but may lead to “messaging fatigue” if favorable triggering conditions are forecast numerous times, yet no PFDF occurs (i.e., false alarm). Forecasters and emergency managers need additional tools that increase their confidence regarding occurrence of short-duration, high-intensity rainfall as well as tools that tie rainfall forecasts to potential PFDF outcomes. We present a concept for probabilistic tools that evaluate PFDF hazards by coupling a high-resolution (1-km), large (100-member) ensemble 24-h precipitation forecast at 5-min resolution with PFDF likelihood and volume models. The observed 15-min maximum rainfall intensities are captured within the ensemble spread, though in highest ∼10% of members. We visualize the model output in several ways to demonstrate most likely and most extreme outcomes and to characterize uncertainty. Our experiment highlights the benefits and limitations of this approach, and provides an initial step toward further developing situational awareness and impact-based decision-support tools for forecasting PFDF hazards.

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Daniel","contributorId":329730,"corporation":false,"usgs":false,"family":"Steinhoff","given":"Daniel","email":"","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":883113,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70248520,"text":"70248520 - 2023 - Evaluation of replicate sampling using hierarchical spatial modeling of population surveys accounting for imperfect detectability","interactions":[],"lastModifiedDate":"2023-09-15T13:08:12.301905","indexId":"70248520","displayToPublicDate":"2023-09-15T07:46:47","publicationYear":"2023","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":"Evaluation of replicate sampling using hierarchical spatial modeling of population surveys accounting for imperfect detectability","docAbstract":"

Effective species management and conservation benefit from knowledge of species distribution and status. Surveys to obtain that information often involve replicate sampling, which increases survey effort and costs. We simultaneously modeled species distribution, abundance and spatial correlation, and compared the uncertainty in replicate abundance estimates of the endangered palila (Loxioides bailleui) using hierarchical generalized additive models with a soap film smoother that incorporated random effects for visit. Based on survey coverage and detections, we selected the 2017 point-transect distance sampling survey on Mauna Kea, Hawai‘i Island, for our modeling. Our modeling approach allowed us to account for imperfect detections, control the effects of boundary features, and generate visit-specific density surface maps. We found that visit-specific smooths were nearly identical, indicating that little information was gained from a subsequent visit, and that most of the estimator uncertainty was derived from within-visit variability. Scaling back the palila survey to a single visit would halve the survey effort and logistical costs and increase efficiencies in data management and processing. Changing the sampling protocol warrants careful consideration and our findings may help management and regulatory agencies by maximizing efficiency and minimizing costs of surveying protocols, while providing guidelines on how to best collect information critical to species' conservation.

","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1471","usgsCitation":"Camp, R.J., Asing, C.K., Banko, P.C., Berry, L., Brinck, K., Farmer, C., and Genz, A., 2023, Evaluation of replicate sampling using hierarchical spatial modeling of population surveys accounting for imperfect detectability: Wildlife Society Bulletin, v. 47, no. 3, e1471, 12 p., https://doi.org/10.1002/wsb.1471.","productDescription":"e1471, 12 p.","ipdsId":"IP-141510","costCenters":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":442092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1471","text":"Publisher Index Page"},{"id":420826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hawai'i, Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.46881876229043,\n 19.83012427098143\n ],\n [\n -155.54063798804242,\n 19.820472473849165\n ],\n [\n -155.5293521097099,\n 19.793927010622525\n ],\n [\n -155.50626735857531,\n 19.77075644297679\n ],\n [\n -155.4539419226703,\n 19.76448050106208\n ],\n [\n -155.45445491714,\n 19.80068445784383\n ],\n [\n -155.46881876229043,\n 19.83012427098143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":883143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asing, Chauncey K.","contributorId":272645,"corporation":false,"usgs":false,"family":"Asing","given":"Chauncey","email":"","middleInitial":"K.","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":883144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":883145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":883146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":3847,"corporation":false,"usgs":true,"family":"Brinck","given":"Kevin W.","email":"kbrinck@usgs.gov","affiliations":[],"preferred":false,"id":883150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farmer, Chris","contributorId":150179,"corporation":false,"usgs":false,"family":"Farmer","given":"Chris","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":883148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":883149,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70248733,"text":"70248733 - 2023 - Discharge estimation using video recordings from small unoccupied aircraft systems","interactions":[],"lastModifiedDate":"2023-09-19T12:20:05.292856","indexId":"70248733","displayToPublicDate":"2023-09-15T07:17:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Discharge estimation using video recordings from small unoccupied aircraft systems","docAbstract":"
Measurement of river discharge during flooding events has especially been a challenging and dangerous task in the southwestern US, where flows can be flashy, laden with sediment, and at high velocity. Small unoccupied aircraft systems (sUAS) can be deployed to access unsafe field sites and capture imagery for measuring surface flow velocity and discharge. This paper compares flow discharge estimation at eight field sites—located at or near USGS gauging stations—using time-averaged surface velocities and the turbulence dissipation rate (TDR) derived from large-scale particle image velocimetry (LSPIV) analysis of sUAS videos with conventional measurement techniques conducted by professional USGS hydrographers. Sites characteristics include both natural and engineered channels. The conventional measured discharges were treated as the reference discharges for evaluating the accuracy of the LSPIV discharge estimates. This study evaluated four approaches to estimate the depth-averaged or cross-sectional averaged velocity: constant-velocity index, logarithmic law, power-law, and the entropy method. Results showed the discharges can be accurately calculated by using any of these methods, and that choice of method depended on width to depth ratios.
","language":"English","publisher":"ASCE","doi":"10.1061/JHEND8.HYENG-13591","usgsCitation":"Duan, J.G., Engel, F.L., and Cadogan, A.F., 2023, Discharge estimation using video recordings from small unoccupied aircraft systems: Journal of Hydraulic Engineering, v. 149, no. 11, 04023048, 12 p., https://doi.org/10.1061/JHEND8.HYENG-13591.","productDescription":"04023048, 12 p.","ipdsId":"IP-133355","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":442095,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1061/jhend8.hyeng-13591","text":"Publisher Index Page"},{"id":435176,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H2MM1M","text":"USGS data release","linkHelpText":"Small Unoccupied Aircraft System Imagery and Associated Data used for Discharge Measurement at Eight Locations Across the United States in 2019 and 2020"},{"id":420945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duan, Jennifer G 0000-0003-0448-6442","orcid":"https://orcid.org/0000-0003-0448-6442","contributorId":329813,"corporation":false,"usgs":false,"family":"Duan","given":"Jennifer","email":"","middleInitial":"G","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":883362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Frank L. 0000-0002-4253-2625","orcid":"https://orcid.org/0000-0002-4253-2625","contributorId":218208,"corporation":false,"usgs":true,"family":"Engel","given":"Frank","middleInitial":"L.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadogan, Ammon F 0000-0002-6385-5319","orcid":"https://orcid.org/0000-0002-6385-5319","contributorId":290492,"corporation":false,"usgs":true,"family":"Cadogan","given":"Ammon","email":"","middleInitial":"F","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":883364,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248492,"text":"70248492 - 2023 - Satellite-derived plant cover maps vary in performance depending on version and product","interactions":[],"lastModifiedDate":"2023-09-15T12:45:29.027447","indexId":"70248492","displayToPublicDate":"2023-09-15T07:03:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-derived plant cover maps vary in performance depending on version and product","docAbstract":"

Understanding the accuracy and appropriate application scale of satellite-derived maps of vegetation cover is essential for effective management of the vast, remote rangelands of the world. However, the underlying models are updated frequently and may combine with rapidly changing vegetation conditions to cause variations in accuracy and precision over time. We sought to assess how model performance changed between different versions of satellite-derived cover products (Rangeland Analysis Platform, RAP, and Rangeland Condition Monitoring and Assessment Protocol, RCMAP) and how the performance of LandCart compared to RAP and RCMAP. Additionally, we asked how variability in agreement between LandCart and field-based models varied with scale. We utilized an intensive dataset of grid-point intercept functional group cover data collected between 2016 and 2020 across the ∼113 kHA 2015 Soda Wildfire to 1) evaluate r2 agreement between versions of each satellite-derived product and plot-level field data and 2) assess relative standard error of agreement in cover between LandCart and continuous field-based Empirical Bayesian Kriging (EBK) regression models. Agreement between satellite- compared to field-plot values of cover (r2) increased for RCMAP Version 5.0 compared to Version 2.0, but there were negligible changes between versions of RAP. Despite this, r2 values of RCMAP and LandCart were nearly always less than RAP. Variability in agreement between EBK regression model cover and LandCart-derived cover decreased with the scale of consideration. Variability in agreement between satellite-derived cover products and field-based metrics is lowest at larger scale (mega-fire or regional) and varies from year to year and across versions, which could complicate detection of temporal changes in plant cover.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.110950","usgsCitation":"Applestein, C., and Germino, M., 2023, Satellite-derived plant cover maps vary in performance depending on version and product: Ecological Indicators, v. 155, 110950, 8 p., https://doi.org/10.1016/j.ecolind.2023.110950.","productDescription":"110950, 8 p.","ipdsId":"IP-152901","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":442098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.110950","text":"Publisher Index Page"},{"id":420825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.56338308098071,\n 43.926296989230224\n ],\n [\n -117.56338308098071,\n 42.354755589015696\n ],\n [\n -115.93309004811645,\n 42.354755589015696\n ],\n [\n -115.93309004811645,\n 43.926296989230224\n ],\n [\n -117.56338308098071,\n 43.926296989230224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":205748,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":883089,"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":883090,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250012,"text":"70250012 - 2023 - Stocking fish in inland waters: Opportunities and risks for sustainable food systems","interactions":[],"lastModifiedDate":"2023-11-14T12:43:11.951223","indexId":"70250012","displayToPublicDate":"2023-09-15T06:41:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Stocking fish in inland waters: Opportunities and risks for sustainable food systems","docAbstract":"

Stocking is one of the foremost tools in the inland fisheries management toolbox, but it comes with both opportunities and risks. Stocking is often used as compensation for depleted wild populations, particularly where recruitment processes have been disrupted, but it can introduce disease, disrupt community structures, reduce genetic integrity, and cause conflicts between fishery stakeholders. Despite its widespread use, examples of effective stocking for food fisheries in inland waters are sparse in the peer-reviewed literature. Nevertheless, it is well established that stocking is frequently used to maintain fish yield, so there is a need to conduct the practice in a robust manner that minimises the potential risks. This paper serves as the front matter for a special section of Fisheries Management and Ecology focused on fresh waters feeding the world, which resulted from two panel sessions, one focused on aquaculture and one focused on stocking, hosted by the international InFish research network (https://infish.org/). The paper highlights current practices of fish stock enhancement in inland waters for food, examines potential synergies and interactions of stock enhancement programmes with aquaculture, and provides an outline framework for responsible management of fish stock enhancement.

","language":"English","publisher":"Wiley","doi":"10.1111/fme.12656","usgsCitation":"Cowx, I.G., Funge-Smith, S., and Lynch, A., 2023, Stocking fish in inland waters: Opportunities and risks for sustainable food systems: Fisheries Management and Ecology, v. 30, no. 6, p. 555-563, https://doi.org/10.1111/fme.12656.","productDescription":"9 p.","startPage":"555","endPage":"563","ipdsId":"IP-151915","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467091,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hull-repository.worktribe.com/output/4395724","text":"External Repository"},{"id":422568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":887992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":887993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":887994,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248464,"text":"sir20105090CC - 2023 - Geology and undiscovered resource assessment of the potash-bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States","interactions":[{"subject":{"id":70248464,"text":"sir20105090CC - 2023 - Geology and undiscovered resource assessment of the potash-bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States","indexId":"sir20105090CC","publicationYear":"2023","noYear":false,"chapter":"CC","displayTitle":"Geology and Undiscovered Resource Assessment of the Potash-Bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States","title":"Geology and undiscovered resource assessment of the potash-bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2026-02-23T18:16:22.356495","indexId":"sir20105090CC","displayToPublicDate":"2023-09-14T10:14:34","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5090","chapter":"CC","displayTitle":"Geology and Undiscovered Resource Assessment of the Potash-Bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States","title":"Geology and undiscovered resource assessment of the potash-bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States","docAbstract":"

The U.S. Geological Survey (USGS) assessed undiscovered potash resources in the Elk Point Basin in Canada and the United States as part of a global mineral resource assessment. The Elk Point Basin is a large, Middle Devonian (Givetian) intracratonic evaporite basin covering approximately 1,200,000 square kilometers (km2) and filled mainly with marine evaporite and minor clastic sedimentary rocks that contain stratabound potash-bearing salt. The potash-bearing salt is concentrated in four stratigraphic members (Patience Lake, Belle Plaine, White Bear, and Esterhazy) in the upper 100 meters (m) of the Prairie Evaporite and are separated by beds of halite (NaCl) that contain lesser—presently non-economic—amounts of sylvite (KCl) and carnallite (KMgCl3·6H2O). The principal ore-bearing salt contains mainly sylvite. Four permissive tracts were defined that permit the presence of undiscovered stratabound potash (both sylvite- and carnallite-bearing salt) using geological criteria.

Permissive tracts are defined by the spatial extent of each stratigraphic member that is at least 1 m thick, are less than 3 kilometers (km) from the surface, contain at least 4 percent equivalent potassium oxide (K2O), and contain the currently known resources. The permissive tracts include known potash deposits and potash occurrences as wells or mines not in production and show where undiscovered potash resources may be present. Well data are used to define the extent, thickness, average K2O equivalent grades, and volumes of each member. Data were supplied by the Saskatchewan Geological Survey or were obtained from published National Instrument (NI) 43-101 technical reports and other published reports, such as annual 10-K reports or news releases.

The Elk Point Basin is the world’s largest source of potash, producing 23.0 million metric tons (Mt) of potassium chloride (KCl) (the equivalent of about 14.4 Mt of K2O) in 2018. In terms of global importance, the Elk Point Basin may contain 40 to greater than 50 percent of the world’s potash resources. Since 1962, potash companies have mined more than 1.5 trillion metric tons of ore containing 605 Mt of KCl (the equivalent of about 380 Mt of K2O). The total value of the ore produced through 2018 is on the order of $70 trillion (CAD). Potash is currently produced from eight conventional and three underground solution mines at depths ranging from 900 m to nearly 1,800 m. Estimates of the amount of potash in the Elk Point Basin vary considerably and the data and methods used in those estimations are not well documented. Known potash resources are approximately 99 billion metric tons (Bt) of ore containing 22 Bt of K2O equivalent.

As a result of new mine openings and increased production capacity at existing mines, the total production capacity of mines in the Elk Point Basin has increased significantly (to about 32.8 Mt of KCl or 22.8 Mt of K2O equivalent per year). Additional production capacity of about 31 Mt of KCl (or 17 Mt of K2O equivalent) per year could be realized over the next decade if several current (as of 2019) exploration and development projects reach production status.

Stratabound potash-bearing salt of the Prairie Evaporite presently underlies a total area of about 188,000 km2 and has a total volume of about 2,690 cubic kilometers (km3). Post-depositional solution processes considerably modified the mineralogy and presence of the potash-bearing salt. These changes had a profound effect on the volume and grade of potash resources that remained in the Prairie Evaporite and are a major consideration of exploration and mining operations as well as in this assessment of undiscovered potash resources.

This USGS assessment includes the locations and possible amounts of undiscovered potash resources in the Prairie Evaporite. Volumes for each stratigraphic member were computed using member thicknesses and areal extent modified by actual, estimated geologic loss owing to salt dissolution and extraction ratios, as well as estimated distribution of carnallite and sylvite. Both sylvite- and carnallite-bearing salts were assessed for potash in this study. The assessment uses modern published grade and tonnage data. The amount of undiscovered potash is estimated by using Monte Carlo simulations to combine volume estimates of the potash-bearing members with probability distributions for average grade and bulk density.

Mean potash grades (expressed as percentage of K2O equivalent) calculated using drill core analyses are 17.76 for the Patience Lake Member, 15.98 for the Belle Plaine Member, 10.66 for the White Bear Member, and 15.30 for the Esterhazy Member. Geologic losses reported as extraction ratios during mining may range from 27.5 to 41.6 percent and are dependent on mining method and local geologic conditions. The assessment determined that mean estimated undiscovered K2O equivalent resources for the Patience Lake, Belle Plaine, White Bear, and Esterhazy Members are 340, 220, 34, and 190 Bt, respectively, and estimated a total mean of 790 Bt for the entire Prairie Evaporite above a depth of 3 km. The total mineralized rock tonnage is estimated to be about 5,000 Bt. Most of the assessed potash is located within Saskatchewan with lesser amounts in Alberta and Manitoba as well as Montana and North Dakota within the United States.

Although carnallite is mined for potash in Europe, it has historically been avoided in mining plans for potash-producing companies in Saskatchewan because of mining, processing, and grade considerations. Carnallite-rich salt is locally present in concentrations and volumes that could be a significant resource of magnesium chloride (MgCl2) obtained as a byproduct of processing the carnallite for potash. Previously estimated reserves (not NI 43-101 compliant) of mineralized material from 1955 to 2019 are 695 Mt at 22.1 percent MgCl2. The total amount of K2O equivalent as carnallite was estimated during this USGS assessment to be about 120 Bt (or 180 Bt KCl). With uncertainties in defining the areal extent of carnallite in each of the potash-bearing members, the amount of MgCl2 as carnallite in the Elk Point Basin could be approximately 180 Bt.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090CC","usgsCitation":"Cocker, M.D., Orris, G.J., Dunlap, P., Yang, C., and Bliss, J.D., 2023, Geology and undiscovered resource assessment of the potash-bearing, Middle Devonian (Givetian), Prairie Evaporite, Elk Point Basin, Canada and United States: U.S. Geological Survey Scientific Investigations Report 2010–5090–CC, 145 p. and data files, https://doi.org/10.3133/sir20105090cc.","productDescription":"Report: ix, 145 p.; Spatial Data; Table; Readme","numberOfPages":"145","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053948","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":420793,"rank":3,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2010/5090/cc/sir20105090cc_readme.txt","size":"20 KB","linkFileType":{"id":2,"text":"txt"}},{"id":420792,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/cc/sir20105090cc.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420791,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2010/5090/cc/covrthb.jpg"},{"id":500441,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115404.htm","linkFileType":{"id":5,"text":"html"}},{"id":420795,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/cc/sir20105090cc_gis.zip","text":"GIS data","size":"5 MB","linkFileType":{"id":6,"text":"zip"}},{"id":420794,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2010/5090/cc/sir20105090cc_tableD1.xlsx","text":"Table D1","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"Canada, United States","otherGeospatial":"Elk Point basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.62003370031768,\n 47.834501224842995\n ],\n [\n -101.94859207917939,\n 46.78881376731823\n ],\n [\n -99.38036924401605,\n 47.064056171229\n ],\n [\n -98.5222551132618,\n 47.90409118922611\n ],\n [\n -98.07428783462548,\n 49.274981575913074\n ],\n [\n -99.04751209813486,\n 51.323577075700086\n ],\n [\n -100.3990594914377,\n 52.712828172299055\n ],\n [\n -101.88661026215635,\n 53.29557322524738\n ],\n [\n -105.10333042439493,\n 55.3188488619183\n ],\n [\n -109.45509609372056,\n 56.74298922060379\n ],\n [\n -112.20142702562293,\n 60.35496296087831\n ],\n [\n -117.3247083017325,\n 60.31647251233596\n ],\n [\n -118.81440244912545,\n 59.02540113843418\n ],\n [\n -120.91916585824947,\n 57.85206145280617\n ],\n [\n -122.23992348667531,\n 57.6515156864875\n ],\n [\n -121.81553356709298,\n 55.96853063691535\n ],\n [\n -114.91051096218939,\n 55.415073221874025\n ],\n [\n -116.12311653915395,\n 53.68014339688571\n ],\n [\n -114.36068663970394,\n 51.40761693922349\n ],\n [\n -114.73749958809637,\n 49.58765797184398\n ],\n [\n -108.67606009110042,\n 49.31809944743287\n ],\n [\n -105.62003370031768,\n 47.834501224842995\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Contact Information
Mineral Resources Program
U.S. Geological Survey 
12201 Sunrise Valley Drive 
913 National Center 
Reston, VA 20192 

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-09-14","noUsgsAuthors":false,"publicationDate":"2023-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":883024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunlap, Pamela pdunlap@usgs.gov","contributorId":5329,"corporation":false,"usgs":true,"family":"Dunlap","given":"Pamela","email":"pdunlap@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Chao","contributorId":119386,"corporation":false,"usgs":true,"family":"Yang","given":"Chao","email":"","affiliations":[],"preferred":false,"id":883026,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883027,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247387,"text":"70247387 - 2023 - Mangrove forests and climate change: Impacts and interactions","interactions":[],"lastModifiedDate":"2023-09-27T10:59:15.834104","indexId":"70247387","displayToPublicDate":"2023-09-14T09:42:16","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mangrove forests and climate change: Impacts and interactions","docAbstract":"

The position of mangrove forests in the dynamic intertidal zone means that they are expected to be heavily impacted by climate change. Much focus is put on mangroves and their response to sea-level rise, but this ecosystem is exposed to a much broader range of climate change stressors, including increased storminess and waves, more dynamic and unpredictable precipitation patterns, and increases in air and sea surface temperatures, particularly at their latitudinal limits. We show that individual climate change stressors can have (rarely considered) positive, as well as negative impacts on mangroves and associated ecosystem functions such as carbon sequestration. While we generally study climate change stressors individually, they are not expected to act in isolation with other climate change stressors or with anthropogenic stressors. We present a stressor interaction framework previously suggested for coral reefs, and adapt it for use in mangroves, using the recent mangrove dieback in northern Australia as a case study. We show the benefits of moving mangrove and climate change research beyond the study of single stressors and towards identifying key synergistic and antagonistic interactions between climate change stressors.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Climate Change and Estuaries","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003126096-22","usgsCitation":"Friess, D., Chen, L., Cormier, N., Krauss, K., Lovelock, C.E., Raw, J.L., Rogers, K., Saintilan, N., and Sidik, F., 2023, Mangrove forests and climate change: Impacts and interactions, chap. of Climate Change and Estuaries, p. 381-400, https://doi.org/10.1201/9781003126096-22.","productDescription":"20 p.","startPage":"381","endPage":"400","ipdsId":"IP-126290","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":421192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Kennish, Michael J.","contributorId":111903,"corporation":false,"usgs":true,"family":"Kennish","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":884236,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Paerl, Hans W.","contributorId":172724,"corporation":false,"usgs":false,"family":"Paerl","given":"Hans","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":884237,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Crosswell, Joseph","contributorId":217003,"corporation":false,"usgs":false,"family":"Crosswell","given":"Joseph","email":"","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":884238,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":879414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":879415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cormier, Nicole 0000-0003-2453-9900","orcid":"https://orcid.org/0000-0003-2453-9900","contributorId":214726,"corporation":false,"usgs":false,"family":"Cormier","given":"Nicole","affiliations":[{"id":16788,"text":"Macquarie University","active":true,"usgs":false}],"preferred":false,"id":879416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":222378,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":879417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovelock, Catherine E.","contributorId":215562,"corporation":false,"usgs":false,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":39280,"text":"School of Biological Sciences, The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":879418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raw, Jacqueline L.","contributorId":317837,"corporation":false,"usgs":false,"family":"Raw","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":69167,"text":"Department of Botany and Institute for Coastal and Marine Research, Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":879419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":879420,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Saintilan, Neil","contributorId":300648,"corporation":false,"usgs":false,"family":"Saintilan","given":"Neil","affiliations":[{"id":65215,"text":"Macquarie University, Sydney, Australia","active":true,"usgs":false}],"preferred":false,"id":879421,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sidik, Frida","contributorId":149631,"corporation":false,"usgs":false,"family":"Sidik","given":"Frida","email":"","affiliations":[],"preferred":false,"id":879422,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70248727,"text":"70248727 - 2023 - PopEquus: a predictive modeling tool to support management decisions for free-roaming horse populations","interactions":[],"lastModifiedDate":"2023-09-18T14:49:18.727694","indexId":"70248727","displayToPublicDate":"2023-09-14T09:19:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"PopEquus: A predictive modeling tool to support management decisions for free-roaming horse populations","title":"PopEquus: a predictive modeling tool to support management decisions for free-roaming horse populations","docAbstract":"

Feral horse (Equus caballus) population management is a challenging problem around the world because populations often exhibit density-independent growth, can exert negative ecological effects on ecosystems, and require great cost to be managed. However, strong value-based connections between people and horses cause contention around management decisions. To help make informed decisions, natural resource managers might benefit from more detailed understanding of how horse management alternatives, including combinations of removals and fertility control methods, could achieve objectives of sustainable, multiple-use ecosystems while minimizing overall horse handling and fiscal costs. Here, we describe a modeling tool that simulates horse management alternatives and estimates trade-offs in predicted metrics related to population size, animal handling, and direct costs of management. The model considers six management actions for populations (removals for adoption or long-term holding; fertility control treatment with three vaccines, intrauterine devices, and mare sterilization), used alone or in combination. We simulated 19 alternative management scenarios at 2-, 3-, and 4-year management return intervals and identified efficiency frontiers among alternatives for trade-offs between predicted population size and six management metrics. Our analysis identified multiple alternatives that could maintain populations within target population size ranges, but some alternatives (e.g., removal and mare sterilization, removal and GonaCon treatment) performed better at minimizing overall animal handling requirements and management costs. Cost savings increased under alternatives with more effective, longer lasting fertility control techniques over longer management intervals compared with alternatives with less-effective, shorter lasting fertility control techniques. We built a user-friendly website application, PopEquus, that decision makers and interested individuals can use to simulate management alternatives and evaluate trade-offs among management and cost metrics. Our results and website application provide quantitative trade-off tools for horse population management decisions and can help support value-based management decisions for wild or feral horse populations and ecosystems at local and regional scales around the world.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4632","usgsCitation":"Folt, B.P., Schoenecker, K., Ekernas, L., Edmunds, D.R., and Hannon, M.T., 2023, PopEquus: a predictive modeling tool to support management decisions for free-roaming horse populations: Ecosphere, v. 14, no. 9, e4632, 20 p., https://doi.org/10.1002/ecs2.4632.","productDescription":"e4632, 20 p.","ipdsId":"IP-141050","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442104,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4632","text":"Publisher Index Page"},{"id":435178,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HVUA6D","text":"USGS data release","linkHelpText":"Scenario Analysis of Management Alternatives for Free-roaming Horse Populations (Version 1.0.0)"},{"id":435177,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NMRQDG","text":"USGS data release","linkHelpText":"PopEquus: A Predictive Modeling Tool to Support Management Decisions for Free-roaming Horse Populations, Version 1.0.1"},{"id":420891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Folt, Brian Patrick 0000-0003-2278-2018","orcid":"https://orcid.org/0000-0003-2278-2018","contributorId":328937,"corporation":false,"usgs":true,"family":"Folt","given":"Brian","email":"","middleInitial":"Patrick","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":883322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":883323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ekernas, L. Stefan 0000-0002-9205-1985","orcid":"https://orcid.org/0000-0002-9205-1985","contributorId":329791,"corporation":false,"usgs":false,"family":"Ekernas","given":"L. Stefan","affiliations":[{"id":78719,"text":"The Denver Zoo","active":true,"usgs":false}],"preferred":false,"id":883324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":883325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Mark T. 0000-0003-1050-749X mhannon@usgs.gov","orcid":"https://orcid.org/0000-0003-1050-749X","contributorId":329792,"corporation":false,"usgs":true,"family":"Hannon","given":"Mark","email":"mhannon@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":883326,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}