The Little Colorado River alluvial aquifer near Leupp, Arizona, was investigated as a possible source of irrigation water for the Leupp and Birdsprings Chapters of the Navajo Nation. The physical, chemical, and hydraulic characteristics of the alluvial aquifer were studied using geophysical surveys, installation of observation wells, water-level measurements, chemical analyses, groundwater pumping simulations, and review of previous investigations. Geophysical surveys and well borings revealed that the aquifer ranges in thickness from near 0 feet around its periphery to about 100 feet in its thickest parts. Water levels were monitored in nine alluvial wells within the study area and compared with earlier measurements collected in 1998 and 1999. Comparison of those earlier water levels with water levels collected as part of this study showed a decline of between about 5 and 12 feet has occurred in the last 23 years. The water chemistry of the aquifer was analyzed for salinity hazard, sodium-adsorption hazard, and specific-ion toxicity. The sodium-adsorption hazard and specific-ion toxicity of alluvial aquifer water were found to be low. However, the salinity hazard was high enough in most areas that it could negatively affect salt-sensitive crops. Well-field pumping scenarios conducted for this study demonstrated that using groundwater from the alluvial aquifer for irrigated agriculture is theoretically possible but may be economically challenging owing to the hydraulic properties of the aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235052","collaboration":"Prepared in cooperation with the Navajo Nation","usgsCitation":"Mason, J.P., Kennedy, J.R., Macy, J.P., and Gungle, B., 2023, Hydrologic framework and characterization of the Little Colorado River alluvial aquifer near Leupp, Arizona: U.S. Geological Survey Scientific Investigations Report 2023–5052, 40 p., https://doi.org/10.3133/sir20235052.","productDescription":"Report: ix, 40 p.; 2 Data Releases; 2 Appendix","ipdsId":"IP-134871","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":418694,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5052/sir20235052.xml"},{"id":418669,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5052/sir20235052_appendix2.xlsx","text":"Appendix 2","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Major ion chemistry results of water samples collected from springs and wells in the Moenkopi Formation in Arizona"},{"id":418668,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5052/sir20235052_appendix1.xlsx","text":"Appendix 1","size":"30 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Water-chemistry sample results from monitoring wells, Little Colorado River alluvial aquifer, northeastern Arizona"},{"id":418666,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5052/images"},{"id":418664,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E6AXVJ","text":"Gravity data along the Little Colorado River near Leupp, Arizona","description":"Kennedy, J.R., 2023, Gravity data along the Little Colorado River near Leupp, Arizona: U.S. Geological Survey data release, https://doi.org/10.5066/P9E6AXVJ."},{"id":418663,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TNW6SD","text":"Electrical resistivity tomography data along the Little Colorado River near Leupp, AZ 2019","description":"Macy, J.P., and Mason, J.P., 2023, Electrical resistivity tomography data along the Little Colorado River near Leupp, AZ 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9TNW6SD."},{"id":418662,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5052/sir20235052.pdf","text":"Report","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":418661,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5052/covrthb.jpg"},{"id":500930,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114939.htm","linkFileType":{"id":5,"text":"html"}},{"id":418695,"rank":9,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235052/full"}],"country":"United States","state":"Arizona","otherGeospatial":"Little Colorado River Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.11708395076475,\n 33.74094372436525\n ],\n [\n -109.23990044564536,\n 33.74094372436525\n ],\n [\n -109.23990044564536,\n 35.90430760207377\n ],\n [\n -112.11708395076475,\n 35.90430760207377\n ],\n [\n -112.11708395076475,\n 33.74094372436525\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
Crayfish have experienced extensive assemblage reorganization as a result of global change, with some species becoming globally invasive and others becoming rare or extinct. We combined historical and contemporary sampling data to determine temporal trends of crayfish assemblages of Wyoming, USA, identifying winners and losers over a ½ century of change (1969–2020). We first documented range expansions of several species, including the Virile Crayfish Faxonius virilis (Hagen, 1870), Ringed Crayfish Faxonius neglectus (Faxon, 1885), and Rusty Crayfish Faxonius rusticus (Girard, 1852) as well as range contractions of the Calico Crayfish Faxonius immunis (Hagen, 1870) and Pilose Crayfish Pacifastacus gambelii (Girard, 1852). We then used multispecies occupancy models to investigate potential mechanisms behind the replacement of F. immunis by F. virilis as the most commonly detected crayfish species in Wyoming over time. We hypothesized that F. virilis is more likely to competitively displace F. immunis from more permanent waterbodies, whereas F. immunis is more likely to persist in more ephemeral habitats because of its superior burrowing ability and tolerance of low dissolved oxygen concentrations. Our occupancy models supported this prediction, with F. immunis occupancy declining at more permanent sites in the presence of F. virilis, but F. immunis occupancy was unaffected by F. virilis in less permanent sites. We also found positive associations of F. virilis occupancy and detection probability with water temperature, suggesting that warmer streams may be more vulnerable to new invasions or spread by this species in nonnative regions of western North America. Our results highlight the value of regular, statewide crayfish surveys through documenting substantial changes in Wyoming’s crayfish assemblage structure that may be driven by habitat-mediated competitive interactions.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/725318","usgsCitation":"Newkirk, B., Larson, E.R., Walker, A.D., and Walters, A.W., 2023, Winners and losers over a ½ century of change in crayfish assemblages of Wyoming, USA: Freshwater Science, v. 42, no. 2, p. 146-160, https://doi.org/10.1086/725318.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-139290","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newkirk, Braxton","contributorId":302721,"corporation":false,"usgs":false,"family":"Newkirk","given":"Braxton","email":"","affiliations":[{"id":65540,"text":"Nebraska Cooperative Research Unit","active":true,"usgs":false}],"preferred":false,"id":902883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Eric R.","contributorId":175281,"corporation":false,"usgs":false,"family":"Larson","given":"Eric","email":"","middleInitial":"R.","affiliations":[{"id":16989,"text":"University of Tennessee, Knoxville, TN","active":true,"usgs":false}],"preferred":false,"id":902884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Andrew D.","contributorId":337329,"corporation":false,"usgs":false,"family":"Walker","given":"Andrew","email":"","middleInitial":"D.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":902355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248105,"text":"70248105 - 2023 - Modeling habitat suitability across different levels of invasive plant abundance","interactions":[],"lastModifiedDate":"2023-10-11T15:53:15.201181","indexId":"70248105","displayToPublicDate":"2023-06-30T09:55:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Modeling habitat suitability across different levels of invasive plant abundance","docAbstract":"Predicting where invasive plants are likely to spread and become abundant is critical for informing invasive plant management. Species distribution models are a key tool for informing the geography of invasion risk, but most distribution models are limited by their use of presence data, including no information on invader population abundance. In this study, we ask how habitat suitability varies for different levels of abundance for three invasive plants: stiltgrass (Microstegium vimineum), sericea lespedeza (Lespedeza cuneata), and privet (Ligustrum sinense). For each species, we used an ensemble distribution modeling approach to compare suitability for invasion estimated from subsets of point location data: all presences vs. locations with percent cover ≥ 1%, ≥ 5%, ≥ 10%, ≥ 25%, and ≥ 50%. For all species, the total area predicted as suitable for abundant populations was 32%–68% less than the area predicted as suitable for presence. For stiltgrass and sericea lespedeza, the area suitable for invasion decreased when predicted from higher levels of abundance, whereas for privet, suitable area was similar across abundance levels. Stiltgrass and sericea lespedeza are therefore likely to become highly abundant in a smaller portion of their ranges, while privet could become highly abundant anywhere it can establish at low abundance. Different environmental predictors explained suitability for presence versus abundance, suggesting the environmental niche associated with presence differs from that associated with high population abundance. Analyses of more species and growth forms are still needed, but our results combined with previous studies consistently show that fitting distribution models to point locations with ≥ 5–10% cover refines range maps and can produce a more targeted assessment of invasion risk.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03118-z","usgsCitation":"Beaury, E.M., Jarnevich, C.S., Pearse, I., Evans, A.E., Teich, N., Engelstad, P., LaRoe, J., and Bradley, B., 2023, Modeling habitat suitability across different levels of invasive plant abundance: Biological Invasions, v. 25, p. 3471-3483, https://doi.org/10.1007/s10530-023-03118-z.","productDescription":"13 p.","startPage":"3471","endPage":"3483","ipdsId":"IP-137901","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435269,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P939IXCP","text":"USGS data release","linkHelpText":"Thresholded abundance models for three invasive plant species in the United States"},{"id":420481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationDate":"2023-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaury, Evelyn M.","contributorId":236820,"corporation":false,"usgs":false,"family":"Beaury","given":"Evelyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":881874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Annette E. 0000-0001-6439-4908","orcid":"https://orcid.org/0000-0001-6439-4908","contributorId":328976,"corporation":false,"usgs":false,"family":"Evans","given":"Annette","email":"","middleInitial":"E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":881877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teich, Nathan","contributorId":328972,"corporation":false,"usgs":false,"family":"Teich","given":"Nathan","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engelstad, Peder","contributorId":238758,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaRoe, Jillian 0000-0002-1429-9811","orcid":"https://orcid.org/0000-0002-1429-9811","contributorId":299950,"corporation":false,"usgs":false,"family":"LaRoe","given":"Jillian","affiliations":[{"id":64987,"text":"Student contractor to USGS Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":881880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Bethany A. 0000-0003-4912-4971","orcid":"https://orcid.org/0000-0003-4912-4971","contributorId":299998,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany A.","affiliations":[{"id":64995,"text":"University of Massachusetts, Northeast Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":881881,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70247808,"text":"70247808 - 2023 - Nearshore ecosystems in the Gulf of Alaska","interactions":[],"lastModifiedDate":"2023-08-18T12:21:34.00282","indexId":"70247808","displayToPublicDate":"2023-06-30T07:19:21","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Nearshore Ecosystems in the Gulf of Alaska","title":"Nearshore ecosystems in the Gulf of Alaska","docAbstract":"Nearshore ecosystem monitoring in western Prince William Sound, Kenai Fjords National Park, Kachemak Bay, and Katmai National Park and Preserve has been conducted as a single Nearshore Component of the Gulf Watch Alaska program over the past five years (2017-2021). This program builds on the previous five years and continues, in many cases, decades of preceding research and monitoring. During the 2017-2021 period of Gulf Watch Alaska, we successfully collected data on more than 200 nearshore metrics across all regions. These metrics were explicitly selected because of their value as trophically-connected features that offer insights into causes of changes through bottom-up and top-down forces within the nearshore food web. During these past 5 years, this study design has been applied to documenting and understanding several perturbations, including the Pacific Marine Heatwave and loss of sea stars due to sea star wasting. Continued monitoring will allow for a better understanding of change in nearshore ecosystems across the Gulf of Alaska and the status of spill injured resources, including greater perspective on oil spill effects and recovery relative to other types of perturbations. This information will be critical for anticipating and responding to ongoing and future changes in the region, as well as providing data for understanding global-scale variation in marine environments.","language":"English","publisher":"Exxon Valdez Oil Spill Trustee Council","collaboration":"Exxon Valdez Oil Spill Trustees Council","usgsCitation":"Coletti, H.A., Esler, D., Ballachey, B., Bodkin, J., Esslinger, G.G., Kloecker, K.A., Monson, D., Robinson, B.H., Traiger, S.B., Iken, K., Konar, B., Dean, T., Lindeberg, M., and Weitzman, B., 2023, Nearshore ecosystems in the Gulf of Alaska, 104 p.","productDescription":"104 p.","ipdsId":"IP-149961","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":419927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419917,"rank":1,"type":{"id":15,"text":"Index 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deglaciation are mostly limited to coral reef records and geophysical model estimates, but observational data from regions with temperate climates is sparse. We present a new relative climatic and regional sea-level rise record for glacial Termination 1 (Marine Isotope Stages [MIS] 2–1) based on ostracode paleoecology from the upper 8 m of the International Ocean Discovery Program (IODP) Site M0080 collected on Expedition 381, in the Gulf of Alkyonides, eastern Corinth basin of the Mediterranean Sea. Results show a series of major faunal transitions from lacustrine (Ponto-Caspian, Lake Corinth) glacial-age assemblages to fully marine (Mediterranean) interglacial assemblages between 20 and 8 ka. During glacial and early deglacial intervals, the Gulf of Alkyonides was characterized by non-marine lacustrine conditions with episodic sediment input from coastal, saline lake environments. Relatively stable lake shoreline conditions marked by the distinctive Tuberoloxoconcha sp. Existed from ∼17.5 to 15 ka. During the peak deglacial interval, the BØlling-AllerØd (B-A, ∼15–13.5 ka), rapid sea-level rise is indicated by a fully marine ostracode fauna colonization, which persisted from 13.5 to 7.5 ka (Late Pleistocene-Early to Middle Holocene).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108192","usgsCitation":"Mazzini, I., Cronin, T.M., Gawthorpe, R., Collier, R.S., De Gelder, G., Golub, A., Toomey, M., Poirier, R., Huang, H.M., Turkey, M., McNeill, L., and Shillington, D.J., 2023, A new deglacial climate and sea-level record from 20 to 8 ka from IODP381 site M0080, Alkyonides Gulf, eastern Mediterranean: Quaternary Science Reviews, v. 313, 108192, 8 p., https://doi.org/10.1016/j.quascirev.2023.108192.","productDescription":"108192, 8 p.","ipdsId":"IP-154358","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":442896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2023.108192","text":"Publisher Index 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compounds and geochemical tracers to identify preferential structurally controlled groundwater pathways influencing springs in Grand Canyon National Park, Arizona, USA","docAbstract":"Study region: This study focuses on the Colorado River watershed in the area along the South Rim of the Grand Canyon. Study focus: This study utilizes anthropogenic chemical tracers to investigate the fate of treated wastewater effluent discharged within Grand Canyon National Park. Anthropogenic chemical tracers were used to discern preferential structurally controlled pathways in a complex regional network of faults and fractures in which some are conduits and others barriers to flow. New hydrological insights for the region: Previous investigations on water resources of Grand Canyon have suggested two different discharge locations (Garden Springs versus Monument Spring) for the treated wastewater discharged on the South Rim of Grand Canyon yet the presence of wastewater at the springs remained unstudied for decades. The treated wastewater from Grand Canyon Village is released into Bright Angel Wash that flows along the surface expression of the Bright Angel Fault and past the inferred intersection with the perpendicular Monument Fault. Multiple anthropogenic compounds (pharmaceuticals, per- and polyfluoroalkyl substances (PFAS), and elevated nitrate) were found in Bright Angel Wash and Monument Spring. Stable isotopic measurements at Monument Spring show depletion over time also suggesting contribution from a depleted stable isotopic source found in the treated wastewater. The anthropogenic tracers utilized in this study provide good insight to which geologic structures are conduits versus barriers to flow and can be useful in other fracture flow and karst settings.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2023.101461","usgsCitation":"Beisner, K.R., Paretti, N.V., Jasmann, J., and Barber, L., 2023, Utilizing anthropogenic compounds and geochemical tracers to identify preferential structurally controlled groundwater pathways influencing springs in Grand Canyon National Park, Arizona, USA: Journal of Hydrology: Regional Studies, v. 48, 101461, 15 p., https://doi.org/10.1016/j.ejrh.2023.101461.","productDescription":"101461, 15 p.","ipdsId":"IP-141572","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":442898,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2023.101461","text":"Publisher Index Page"},{"id":418677,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.14926803785156,\n 36.52936308034002\n ],\n [\n -113.14926803785156,\n 35.57058860267266\n ],\n [\n -111.89749432574378,\n 35.57058860267266\n ],\n [\n -111.89749432574378,\n 36.52936308034002\n ],\n [\n -113.14926803785156,\n 36.52936308034002\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paretti, Nicholas V. 0000-0003-2178-4820 nparetti@usgs.gov","orcid":"https://orcid.org/0000-0003-2178-4820","contributorId":173412,"corporation":false,"usgs":true,"family":"Paretti","given":"Nicholas","email":"nparetti@usgs.gov","middleInitial":"V.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":220849,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":876796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":876797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70246319,"text":"70246319 - 2023 - Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat","interactions":[],"lastModifiedDate":"2023-07-05T11:23:52.480787","indexId":"70246319","displayToPublicDate":"2023-06-30T06:40:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat","docAbstract":"Wildfires are increasingly modifying wildlife habitat in the western United States and managers need ways to scope the pace and degree to which post-fire restoration actions can re-create habitat in dynamic landscapes. We developed a spatially explicit state-transition simulation model (STSM) to project post-fire revegetation and the potential for sage-grouse habitat restoration in sagebrush ecosystems. The model included annual fires, annual grass invasion, conifer encroachment, and projected annual vegetation growth caused by natural regeneration as well as sagebrush seeding and planting. We cross-referenced resulting vegetation maps with greater sage-grouse (Centrocercus urophasianus) habitat needs and evaluated trajectories of potential habitat at three Priority Areas for Conservation in the Great Basin. We compared outcomes among different types of revegetation actions (natural regeneration, seeding, planting), treatment durations, and treatment area sizes. In all scenarios, sagebrush cover was generally insufficient to meet sage-grouse needs for at least a decade post-fire, and the best habitat classes declined or remained at low proportions of landscapes for >50 years post-fire. Under current fire patterns, the pace of habitat restoration is likely to lag behind losses from wildfires. Our results indicate additional efforts beyond sagebrush revegetation actions (e.g., fire suppression, invasive grass treatment) will likely be necessary to maintain and restore areas to meet sage-grouse habitat needs in burned landscapes. Our results also underscore the need for broad-scale habitat restoration strategies that expand the ability to reestablish sagebrush in large, burned areas, as well as strategies for defining which areas should be prioritized for revegetation within the biome. Our landscape models and resulting vegetation maps can be integrated with other restoration prioritization or wildlife monitoring tools that support land manager decision-making. By gauging potential benefits of restoration decisions, our approach can provide information to aid choices on where to invest time, money, and effort and how best to mitigate losses and plan long-term restoration and recovery for landscapes across the sagebrush biome.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110396","usgsCitation":"Orning, E.K., Heinrichs, J., Pyke, D.A., Coates, P.S., and Aldridge, C.L., 2023, Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat: Ecological Modelling, v. 483, 110396, 19 p., https://doi.org/10.1016/j.ecolmodel.2023.110396.","productDescription":"110396, 19 p.","ipdsId":"IP-150259","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":442902,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2023.110396","text":"Publisher Index Page"},{"id":435271,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PYHZF7","text":"USGS data release","linkHelpText":"State-and-Transition Simulation Models to explore post-fire habitat restoration in three greater sage-grouse (Centrocercus urophasianus) Priority Areas for Conservation, USA (2018-2068)"},{"id":418676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.1530893537961,\n 46.72935427298586\n ],\n [\n -121.1530893537961,\n 34.336583229480425\n ],\n [\n -107.711590841332,\n 34.336583229480425\n ],\n [\n -107.711590841332,\n 46.72935427298586\n ],\n [\n -121.1530893537961,\n 46.72935427298586\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"483","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orning, Elizabeth Kari 0000-0002-1376-729X","orcid":"https://orcid.org/0000-0002-1376-729X","contributorId":315548,"corporation":false,"usgs":true,"family":"Orning","given":"Elizabeth","email":"","middleInitial":"Kari","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":876800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":876801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":876802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":876804,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247013,"text":"70247013 - 2023 - Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain","interactions":[],"lastModifiedDate":"2023-08-08T14:42:32.909724","indexId":"70247013","displayToPublicDate":"2023-06-29T16:09:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain","title":"Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain","docAbstract":"Our understanding of the spatial-temporal-compositional relationships between off-axis magmatism and mid-ocean ridge spreading centers is limited. Determining the 40Ar/39Ar ages of mid-ocean ridge basalt (MORB) lavas erupting near mid-ocean ridges (MOR) has been a challenge due to the characteristically low K2O contents in incompatible element-depleted normal MORB (NMORB). High-precision 40Ar/39Ar geochronology is used here to determine ages of young, basaltic lavas erupted along the 8°20' N seamount chain west of the East Pacific Rise (EPR) axis that have a range of incompatible element enrichments (EMORB) suitable for 40Ar/39Ar geochronology (e.g., K2O contents > 0.3 wt%). 40Ar/39Ar ages were determined in 29 well-characterized basalts sampled using HOV Alvin and dredging. Detailed geochronology and geochemical analyses provide important constraints on the timing, distribution, and origins of lavas that constructed this extensive volcanic lineament relative to magmatism beneath the adjacent EPR axis. Seamount eruption ages are up to ∼1.6 Ma younger than the underlying lithosphere, supporting a model of prolonged off-axis magmatism for at least 2 Myrs at distances as great as ∼90 km from the ridge axis. Increasing geochemical heterogeneity with eruption distance reflects the diminishing effect of sub-ridge melt focusing. The range of geochemically distinct lavas erupted at given distances from the ridge highlights the dynamic nature of the near-ridge magmatic environment over Myr timescales. Linear ridge-like (EPR-parallel) morphotectonic features erupt the youngest and most incompatible element-enriched lavas of the entire seamount chain, indicating there is a recent change in the influence of mantle heterogeneity and off-axis melt metasomatism on the near-ridge lithospheric mantle. Changes in seamount morphologies are attributed to counter-clockwise rotation and southward migration of the nearby Siqueiros transform over the last few million years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2023.118278","usgsCitation":"Anderson, M., Perfit, M., Morgan, L.E., Fornari, D., Cosca, M.A., and Wanless, V.D., 2023, Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain: Earth and Planetary Science Letters, v. 618, 118278, 12 p.; Data Release, https://doi.org/10.1016/j.epsl.2023.118278.","productDescription":"118278, 12 p.; Data Release","ipdsId":"IP-147683","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":442904,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2023.118278","text":"Publisher Index Page"},{"id":435272,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ECGKYO","text":"USGS data release","linkHelpText":"Argon data for enriched MORB from the 8°20' N seamount chain"},{"id":419230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419594,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/623c7021d34e915b67d2ddc8","text":"Argon data for enriched MORB from the 8°20' N seamount chain","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"East Pacific Rise, Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106,\n 9\n ],\n [\n -106,\n 7.75\n ],\n [\n -104,\n 7.75\n ],\n [\n -104,\n 9\n ],\n [\n -106,\n 9\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Molly","contributorId":316857,"corporation":false,"usgs":false,"family":"Anderson","given":"Molly","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":878547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perfit, Michael","contributorId":13736,"corporation":false,"usgs":false,"family":"Perfit","given":"Michael","affiliations":[],"preferred":false,"id":878548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":878549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fornari, Daniel","contributorId":316858,"corporation":false,"usgs":false,"family":"Fornari","given":"Daniel","affiliations":[{"id":68715,"text":"Woods Hole, Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":878550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":878551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wanless, V. Dorsey","contributorId":175158,"corporation":false,"usgs":false,"family":"Wanless","given":"V.","email":"","middleInitial":"Dorsey","affiliations":[],"preferred":false,"id":878552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256437,"text":"70256437 - 2023 - Green turtle fibropapillomatosis: Tumor morphology and growth rate in a rehabilitation setting","interactions":[],"lastModifiedDate":"2024-08-01T16:48:03.172139","indexId":"70256437","displayToPublicDate":"2023-06-29T11:39:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5820,"text":"Veterinary Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Green turtle fibropapillomatosis: Tumor morphology and growth rate in a rehabilitation setting","docAbstract":"Fibropapillomatosis (FP) is a neoplastic disease most often found in green turtles (Chelonia mydas). Afflicted turtles are burdened with potentially debilitating tumors concentrated externally on the soft tissues, plastron, and eyes and internally on the lungs, kidneys, and the heart. Clinical signs occur at various levels, ranging from mild disease to severe debilitation. Tumors can both progress and regress in affected turtles, with outcomes ranging from death due to the disease to complete regression. Since its official description in the scientific literature in 1938, tumor growth rates have been rarely documented. In addition, FP tumors come in two very different morphologies; yet, to our knowledge, there have been no quantified differences in growth rates between tumor types. FP tumors are often rugose in texture, with a polypoid to papillomatous morphology, and may or may not be pedunculated. In other cases, tumors are smooth, with a skin-like surface texture and little to no papillose structures. In our study, we assessed growth-rate differences between rugose and smooth tumor morphologies in a rehabilitation setting. We measured average biweekly tumor growth over time in green turtles undergoing rehabilitation at the University of Florida Whitney Laboratory Sea Turtle Hospital in St. Augustine, Florida, and compared growth between rugose and smooth tumors. Our results demonstrate that both rugose and smooth tumors follow a similar active growth progression pattern, but rugose tumors grew at significantly faster rates (p = 0.013) than smooth ones. We also documented regression across several examined tumors, ranging from −0.19% up to −10.8% average biweekly negative growth. Our study offers a first-ever assessment of differential growth between tumor morphologies and an additional diagnostic feature that may lead to a more comprehensive understanding and treatment of the disease. We support the importance of tumor morphological categorization (rugose versus smooth) being documented in future FP hospital- and field-based health assessments.
","language":"English","publisher":"MDPI","doi":"10.3390/vetsci10070421","usgsCitation":"Manes, C., Herren, R., Page, A., Dunlap, F., Skibicki, C., Rollinson Ramia, D.R., Farrell, J.A., Capua, I., Carthy, R.R., and Duffy, D.J., 2023, Green turtle fibropapillomatosis: Tumor morphology and growth rate in a rehabilitation setting: Veterinary Sciences, v. 10, no. 7, 421, 12 p., https://doi.org/10.3390/vetsci10070421.","productDescription":"421, 12 p.","ipdsId":"IP-153769","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":442907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/vetsci10070421","text":"Publisher Index Page"},{"id":432044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Manes, Costanza","contributorId":340560,"corporation":false,"usgs":false,"family":"Manes","given":"Costanza","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herren, Richard M.","contributorId":340561,"corporation":false,"usgs":false,"family":"Herren","given":"Richard M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Page, Annie","contributorId":340563,"corporation":false,"usgs":false,"family":"Page","given":"Annie","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunlap, Faith","contributorId":340565,"corporation":false,"usgs":false,"family":"Dunlap","given":"Faith","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Skibicki, Chris","contributorId":340567,"corporation":false,"usgs":false,"family":"Skibicki","given":"Chris","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rollinson Ramia, Devon R.","contributorId":340569,"corporation":false,"usgs":false,"family":"Rollinson Ramia","given":"Devon","email":"","middleInitial":"R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrell, Jessica A.","contributorId":340572,"corporation":false,"usgs":false,"family":"Farrell","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":81632,"text":"Florida Atlantic University Harbor Branch Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":907369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Capua, Ilaria","contributorId":340573,"corporation":false,"usgs":false,"family":"Capua","given":"Ilaria","email":"","affiliations":[{"id":37540,"text":"John Hopkins University","active":true,"usgs":false}],"preferred":false,"id":907370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907371,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duffy, David J.","contributorId":340574,"corporation":false,"usgs":false,"family":"Duffy","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":907372,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70251249,"text":"70251249 - 2023 - Browsing the literature","interactions":[],"lastModifiedDate":"2024-01-31T15:49:43.55131","indexId":"70251249","displayToPublicDate":"2023-06-29T09:44:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Browsing the literature","docAbstract":"No abstract available.
","language":"English","publisher":"Society for Range Management","doi":"10.1016/j.rala.2023.05.001","usgsCitation":"Germino, M., 2023, Browsing the literature: Rangelands, v. 45, no. 3, p. 47-50, https://doi.org/10.1016/j.rala.2023.05.001.","productDescription":"4 p.","startPage":"47","endPage":"50","ipdsId":"IP-155198","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":425147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":893648,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70247430,"text":"70247430 - 2023 - Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin","interactions":[],"lastModifiedDate":"2023-08-07T14:21:47.310109","indexId":"70247430","displayToPublicDate":"2023-06-29T09:16:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin","docAbstract":"Effective conservation of stream fishes and their habitats is complicated by the fact that human stressors alter the way in which natural factors such as stream size, catchment geology, and regional climate influence stream ecosystems. Consequently, efforts to assess the condition of stream fishes and their habitats must not only attempt to characterize the effects of human stressors but must account for the effects of natural influences as well. This study is an assessment of all stream fish habitats in the Mississippi River basin, USA. The basin supports over 400 stream fish species, drains a land area of 3.2 M km2, and includes a myriad of human stressors such as intensive agriculture, urbanization, nutrient loading, and habitat fragmentation by dams and road/stream crossings. To effectively characterize types and levels of human stressors specifically impacting the basin’s stream fish species, our assessment approach first accounted for the influence of natural landscape conditions on species abundances with multiple steps, including stratifying our analyses by region and stream size and quantitatively modeling the influences of natural factors on stream fishes. We next quantified individual fish species responses to explicit human stressors for different measures of land use, fragmentation, and water quality, including summaries of measures in local vs. catchment extents. Results showed that many species had negative threshold responses to human stressors and that impacts varied by species, by region, and by the spatial extents in which stressors were summarized. Our spatially explicit results indicated the degree of stream reach impairment for specific stressor categories, for individual species, and for entire assemblages, all of which are types of information that can aid decision makers in achieving specific conservation goals in the region.
","language":"English","publisher":"MDPI","doi":"10.3390/w15132400","usgsCitation":"Ross, J., Infante, D.M., Cooper, A.R., Whittier, J.B., and Daniel, W., 2023, Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin: Water, v. 15, no. 13, 2400, 19 p., https://doi.org/10.3390/w15132400.","productDescription":"2400, 19 p.","ipdsId":"IP-154339","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15132400","text":"Publisher Index Page"},{"id":419562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.70500995271088,\n 29.01665894418747\n ],\n [\n -87.84690317711288,\n 33.54915630164602\n ],\n [\n -81.00873115774787,\n 37.45591553762907\n ],\n [\n -78.93790401814765,\n 41.96679217920834\n ],\n [\n -83.62542898487561,\n 41.81918715620617\n ],\n [\n -87.73555865475336,\n 41.70064246159154\n ],\n [\n -88.67261557203858,\n 44.96630422012075\n ],\n [\n -93.08599492063011,\n 47.38065175487887\n ],\n [\n -98.48423664388794,\n 48.43354009429689\n ],\n [\n -112.80019584593275,\n 48.34084011217669\n ],\n [\n -109.13885539240077,\n 44.853455766288505\n ],\n [\n -105.17484654049274,\n 41.33941938263584\n ],\n [\n -103.17753122235543,\n 38.76054766960715\n ],\n [\n -101.04477212147036,\n 36.16726262455268\n ],\n [\n -98.00084294825474,\n 32.268870505741845\n ],\n [\n -92.62187823928058,\n 29.79492566370429\n ],\n [\n -88.70500995271088,\n 29.01665894418747\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"13","noUsgsAuthors":false,"publicationDate":"2023-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Jared 0000-0002-0582-3589","orcid":"https://orcid.org/0000-0002-0582-3589","contributorId":289993,"corporation":false,"usgs":false,"family":"Ross","given":"Jared","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":879593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, Dana M.","contributorId":146114,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":16583,"text":"Department of Fisheries and Wildlife, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":879594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Arthur R.","contributorId":187646,"corporation":false,"usgs":false,"family":"Cooper","given":"Arthur","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":879595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":879596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":879597,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245765,"text":"ofr20231040 - 2023 - Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California—Breeding activities and habitat use—2022 annual report","interactions":[],"lastModifiedDate":"2023-06-30T10:52:30.004365","indexId":"ofr20231040","displayToPublicDate":"2023-06-29T09:10:19","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2022 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California—Breeding activities and habitat use—2022 annual report","docAbstract":"We completed four protocol surveys for Least Bell’s Vireos (Vireo bellii pusillus; vireo) during the breeding season, supplemented by weekly territory monitoring visits. We identified a total of 133 territorial male vireos; 114 were confirmed as paired, and 3 were confirmed as single males. For the remaining 16 territories, we were unable to confirm breeding status. Two transient vireos were detected in 2022. The vireo population in the Project Area increased by 9 percent from 2021 to 2022. The vireo population at Marine Corps Base Camp Pendleton also increased (4 percent), whereas the population at Marine Corps Air Station remained relatively stable (decreased from 10 pairs to 9) and the Otay River population decreased by 10 percent (2 territories).
We used an index of treatment (Treatment Index) to evaluate the effect of on-going vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory (since 2005) by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for unoccupied habitat was more than four times that of occupied habitat, indicating that vireos selected habitat that was less treated in which to settle.
We monitored vireo nests at three general site types: (1) within the flood channel where exotic and native vegetation removal has occurred regularly (Channel), (2) three sites near the flood channel where limited exotic and native vegetation removal has occurred (Off-channel), and (3) three sites that have been actively restored by planting native vegetation (Restoration). Nesting activity was monitored in 80 territories, 3 of which were occupied by single males and 1 by a male whose breeding status could not be confirmed. Overall, 38 percent of completed nests were successful and nest success did not differ among the three sites. In 2022, there were no differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel and Restoration sites. Overall breeding success and productivity were slightly higher in 2022 than in 2021, with 72 percent of pairs fledgling at least one young and pairs fledging an average of 2.2±1.7 young.
To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort or the number of vireo fledglings per pair produced in 2022. Similarly, we did not detect an effect of Treatment Index on daily survival rate (DSR) of nests.
Analysis of vegetation data collected at vireo nests from 2006 to 2022 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in the host plant than Off-channel nests. In the Channel and Off-channel sites, successful nests were placed closer to the edge of the host plants than unsuccessful nests. Additionally, successful Off-channel nests were placed lower in the vegetation, in shorter host plants, and closer to the edge of the vegetation clump than unsuccessful nests.
Red/arroyo willow (Salix laevigata or Salix lasiolepis) were the species most commonly selected for nesting by vireos in all three site types. Black willow (Salix gooddingii) and mule fat (Baccharis salicifolia) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (eight and six species, respectively) compared to Restoration sites (two species), although there was limited nesting in Restoration sites in 2022.
There were 43 vireos banded before the 2022 breeding season that were resighted and identified at the Project Area in 2022, all of which were originally banded in the Project Area. Adult birds of known age ranged from 1 to 7 years old. A total of 146 vireos were newly banded in 2022. There were 8 adult vireos banded with a unique color combination, and 138 nestlings were banded with a single dark blue numbered federal band on the left leg. Between 2006 and 2022, survivorship of males (66±11 percent) was consistently higher than that of females (59±12 percent). First-year birds from 2006 to 2022 had an average annual survivorship of 15±6 percent.
First-year dispersal in 2022 averaged 6.7±7.4 kilometers (km), with the longest dispersal (15.3 km) by a male that was recaptured at Fallbrook Creek, Fallbrook Naval Weapons Station (FNWS). From 2007 to 2011, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, the majority of returning birds dispersed to areas outside of the Project Area. From 2018 to 2021, the trend shifted, and more first-year vireos returned to the Project area. In 2022, only one first-year vireo returned to the project area and two dispersed to sites outside the Project Area (upstream to the middle San Luis Rey River and to Fallbrook Creek, FNWS). However, the total number of identified first-year vireos was low and the trend in 2022 will likely shift as additional returning first-year vireos are identified in subsequent years.
Most of the returning adult male vireos showed strong between-year site fidelity to their previous territories. Seventy-three percent of males (27/37) occupied a territory in 2022 that they had defended in 2021 (within 100 meters [m]). There were no females (0/4) detected in 2022 that returned to a territory they occupied in 2021; however, 50 percent of females (2/4) detected in 2022 returned to areas adjacent to their previous territories (within 300 m). The average between-year movement for returning adult vireos was 0.3±0.7 km. The amount of treatment at adults’ 2021 territories did not affect the distance adults moved to their 2022 territories.
We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (Empidonax traillii extimus; flycatcher) at the Project Area between May 16 and July 25, 2022. Four transient Willow Flycatchers were detected in the Project Area in 2022. Two transients were detected in Reach 1, one in Reach 3a, and one in Pilgrim Pond. There were not any resident flycatchers documented in the Project Area in 2022.
A total of 46 vegetation transects (528 points) were sampled at the Project Area in 2022. Seventy-one percent (378/528) of points were located in the Channel, and 22 percent (115/528) were in Upper Pond. The remaining 7 percent (35/528) of points were at the Whelan Restoration site. Foliage cover below 2 m was higher at the Channel points compared to Upper Pond and Whelan Restoration, which can be attributed to the dense herbaceous vegetation that grows after mowing. Above 2 m, foliage cover was similar at the Channel and Whelan Restoration sites and was higher than at Upper Pond. Average canopy height was higher in the Channel (5.6±3.4 m) compared to Upper Pond (4.7±2.9 m) and Whelan Restoration (4.6±1.9 m). From 2006 to 2022, total foliage cover declined above 2 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. The percent cover remained below levels detected before 2009 for other height classes.
We sampled vegetation at 44 vireo nests and 44 random plots (“territory” plots) within territories in the Channel and Upper Pond after the 2022 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 6 m but less cover below 2 m relative to the available habitat. Within territories, Channel vireos selected nest sites with significantly more foliage cover from 2 to 3 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover from 5 to 6 m and below 1 m relative to available habitat. However, within territories, Upper Pond vireos selected nest sites with significantly less foliage cover from 5 to 6 m and below 1 m.
Data either are not available or have limited availability owing to restrictions of the funding entity (U.S. Army Corps of Engineers). Please contact Christopher Chabot, Planning Division, Los Angeles District, U.S. Army Corps of Engineers, for more information.
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Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
In some cases, managing an established invasive species may do more harm to an ecosystem than allowing the invader to persist. Given limited resources available to land managers and the realities of conservation triage, we recognized the need for systematic guidance for management decisions made at the “late end” of the invasion curve. We gathered an interdisciplinary group of experts and practitioners to address the question of “under what circumstances is the active management of an established aquatic invasive species warranted?” Our working group identified three key dimensions to this question: (1) the efficacy of available management options; (2) the net benefits of management actions weighed against the null scenario of no control; and (3) the socio-ecological context that defines management goals, a manager’s ability to achieve said goals, and perceptions of management outcomes. These considerations were used to structure a consensus decision tree that supports a multi-criteria approach to decision-making. Our approach promotes interdisciplinarity and systems thinking and emphasizes the need to consider costs and benefits comprehensively, for example by considering the persistence or reversibility of impacts from both the invasive species and from efforts to suppress or eradicate it.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/facets-2022-0200","usgsCitation":"Robichaud, C.D., Rooney, R.C., Larson, B.M., Wolfe, S.E., Nyssa, Z., Kowalski, K., and Braun, H., 2023, A decision framework for the management of established biological invasions: Facets, v. 8, p. 1-10, https://doi.org/10.1139/facets-2022-0200.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-144566","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":442916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/facets-2022-0200","text":"Publisher Index Page"},{"id":420237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robichaud, C. D. 0000-0001-9538-2811","orcid":"https://orcid.org/0000-0001-9538-2811","contributorId":328753,"corporation":false,"usgs":false,"family":"Robichaud","given":"C.","email":"","middleInitial":"D.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":881206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rooney, R. C. 0000-0002-3956-7210","orcid":"https://orcid.org/0000-0002-3956-7210","contributorId":328754,"corporation":false,"usgs":false,"family":"Rooney","given":"R.","email":"","middleInitial":"C.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":881207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, B. M. H. 0000-0001-5623-3864","orcid":"https://orcid.org/0000-0001-5623-3864","contributorId":328755,"corporation":false,"usgs":false,"family":"Larson","given":"B.","email":"","middleInitial":"M. H.","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":881208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, S. E.","contributorId":328756,"corporation":false,"usgs":false,"family":"Wolfe","given":"S.","email":"","middleInitial":"E.","affiliations":[{"id":78482,"text":"Royal Roads University","active":true,"usgs":false}],"preferred":false,"id":881209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nyssa, Z. 0000-0003-0565-8971","orcid":"https://orcid.org/0000-0003-0565-8971","contributorId":328757,"corporation":false,"usgs":false,"family":"Nyssa","given":"Z.","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":881354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":881211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Braun, H.","contributorId":328831,"corporation":false,"usgs":false,"family":"Braun","given":"H.","affiliations":[],"preferred":false,"id":881210,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70246293,"text":"70246293 - 2023 - Using recovered radio transmitters to estimate positioning error and a generalized Monte Carlo simulation to incorporate error into animal telemetry analysis","interactions":[],"lastModifiedDate":"2023-06-30T12:04:30.750119","indexId":"70246293","displayToPublicDate":"2023-06-29T07:02:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Using recovered radio transmitters to estimate positioning error and a generalized Monte Carlo simulation to incorporate error into animal telemetry analysis","docAbstract":"Mobile radio tracking is an important tool in fisheries research and management. Yet, the accuracy of location estimates can be highly variable across studies and within a given dataset. While some methods are available to deal with error, they generally assume a static value for error across all detections. We provide a novel method for making detection-specific error estimates using detections of recovered transmitters (i.e., mortalities or tag expulsion). These data are used to establish the relationship between received signal strength (RSS) and positional error, which can then be used to predict positional error of detections for fish at large. We then show how detection-specific estimates can be integrated into a Monte Carlo framework to analyze movement in ways robust to spatial uncertainty.
In a telemetry study in a large river (~ 90 m), we recovered 22 transmitters to estimate and model positional error. Error averaged 94 m (range = 1–727 m) for transmitters tracked by researchers on foot using a Yagi antenna, and 200 m (range = 1–1141 m) for transmitters tracked from vehicles using an omnidirectional whip antenna. Transmitters located near roads were tracked more accurately with both methods. Received signal strength was a strong predictor of positional error (r2 = 0.86, ground tracking; 0.65, tracking from truck) and was thus used to make detection-specific estimates of error for detections of fish at large. Monte Carlo analysis for a binary movement classification revealed that only 18% of location estimates could be confidently assigned to movement (p < 0.05); the remainder were associated with stasis or movement that was within the range of positional error. Ignoring positional error led to positive bias of up to 1300% in individual movement estimates and varied seasonally—it was highest when fish were inactive and lowest when fish were most active.
Using recovered transmitters and RSS models to estimate telemetry error is a viable alternative to staged ‘dummy transmitter’ trials and assuming error is a constant. Our proposed approaches to incorporate detection-specific error estimates into analysis are broadly applicable and can ‘make the most’ out of highly accurate detections while also cautiously extracting spatial information from less-accurate detections.
Wildfire alters the hydrologic cycle, with important implications for water supply and hazards including flooding and debris flows. In this study we use a combination of electrical resistivity and stable water isotope analyses to investigate the hydrologic response during storms in three catchments: one unburned and two burned during the 2020 Bobcat Fire in the San Gabriel Mountains, California, USA. Electrical resistivity imaging shows that in the burned catchments, rainfall infiltrated into the weathered bedrock and persisted. Stormflow isotope data indicate that the amount of mixing of surface and subsurface water during storms was similar in all catchments, despite higher streamflow post-fire. Therefore, both surface runoff and infiltration likely increased in tandem. These results suggest that the hydrologic response to storms in post-fire environments is dynamic and involves more surface-subsurface exchange than previously conceptualized, which has important implications for vegetation regrowth and post-fire landslide hazards for years following wildfire.
The Rocky Mountains and the Colorado River Basin in the Western United States represent complex, interconnected systems that sustain a number of species, including tens of millions of humans. These systems face several challenges, including worsening drought, altered wildfire regimes, climate change, and the spread of invasive species. These factors can exacerbate one another, further contributing to habitat loss and affecting species of conservation concern. Characterizing and managing these challenges require interdisciplinary communities of scientists to develop information and decision-support tools that can inform holistic land and water management solutions. The U.S. Geological Survey (USGS) Rocky Mountain Region 2022 Science Exchange focused on the use of interdisciplinary and state-of-the-art science being conducted by USGS scientists in the region to address these complex problems.
The USGS Rocky Mountain Regional Office organized its first Science Exchange in 2017 to share scientific information between leaders and early career scientists throughout the region. Science Exchanges held in 2018 and 2020 focused on drought science relevant to the region and the Earth Monitoring, Analyses, and Prediction (EarthMAP) concept, which is designed to facilitate interdisciplinary, timely, and actionable science related to drought in the Colorado River Basin and other areas. Based on the emerging need for more holistic approaches to address increasingly complex natural resource issues that affect society, the Region hosted a virtual fourth Science Exchange for three days in April 2022. This event focused on barriers and bridges to interdisciplinary science and highlighted studies from the Region to inspire collaboration across disciplines. Presentations described recent and ongoing research that applied collaborative and state-of-the-art methods to address problems in the fields of geology, hydrology, ecology, and natural hazards. Science collaboration and outreach to all levels of stakeholders are vital elements needed for providing timely and actionable data, interpretations, analytical tools, and products. These presentations led to active online chats and panel discussions and showcased interdisciplinary science and advanced methods that may inform and lead to more effective, holistic management decisions as the Western United States adapts to ongoing and future changes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233017","usgsCitation":"Peterson, D.E., French, K.L., Oden, J.H., Anderson, P.J., Titus, T.N., Dahm, K.G., Driscoll, J., Andrews, W.J., 2022, U.S. Geological Survey Rocky Mountain Region 2022 Science Exchange, Showcasing Interdisciplinary and State-of-the-Art USGS Science, U.S. Geological Survey Fact Sheet 2023-3017, 6 p., https://doi.org/10.3133/fs20233017.","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-144708","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":418590,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3017/images"},{"id":418591,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3017/fs20233017.xml"},{"id":418596,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233017/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3017"},{"id":418480,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3017/coverthb.jpg"},{"id":418481,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3017/fs20233017.pdf","text":"Report","size":"4.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3017"}],"contact":"Director, Region 7 - Upper Colorado Basin
U.S. Geological Survey
Box 25046, MS-911
Denver, CO 80225-0046
Indices such as the Index of Biotic Integrity (IBI) are often used by management agencies to estimate the abstract property of stream health. These indices are usually predicated on the belief that certain fish species are tolerant to environmental perturbation while others are sensitive. Species are usually designated as either tolerant or sensitive in these analyses based on inherent ecological or taxonomic characteristics. However, previous literature has shown that certain species from ecological or taxonomic “sensitive” groups experience increased abundance in degraded streams. We term such species “cryptic tolerants”. Using a stream fish assemblage dataset of 433 unique sample locations across the state of Alabama and the National Landcover Dataset, our objectives were to 1) identify the most common cryptic tolerant species, 2) investigate how cryptic tolerant species might inflate indices of stream health, and 3) compare an alternative measure of stream health in which species are statistically defined rather than defined using the traditional trait-based approach. We identified cryptic tolerants using Nonmetric Multidimensional Scaling in six ecoregions. A series of regressions revealed that the proportion of cryptic tolerant species decreased in response to an increasing proportion of forested land in catchments while the proportion of true sensitives increased in all ecoregions except for the Cumberland Plateau. An index that simply used the percentage of statistically defined, non-tolerant species generally had lower p-values and higher r2 values than IBI scores when both were regressed against percentage of forest in catchment. However, both indices had low degrees of correlation with expected disturbance, indicating a univariate index may be inadequate to characterize stream health. Our results highlight a potential issue with applying the IBI to diverse southeastern systems in the United States, which may be alleviated by designating species sensitivity based on empirical response to disturbance rather than taxonomic or ecological characteristics.
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\"}}]}","volume":"154","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hilburn, Bryson G.","contributorId":317735,"corporation":false,"usgs":false,"family":"Hilburn","given":"Bryson","email":"","middleInitial":"G.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":879202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":879203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawson, Katelyn M.","contributorId":201981,"corporation":false,"usgs":false,"family":"Lawson","given":"Katelyn M.","affiliations":[{"id":36314,"text":"University of Florida/IFAS","active":true,"usgs":false}],"preferred":false,"id":879204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rider, Steven J.","contributorId":317736,"corporation":false,"usgs":false,"family":"Rider","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":35940,"text":"Alabama Division of Wildlife and Freshwater Fisheries","active":true,"usgs":false}],"preferred":false,"id":879205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnston, Carol E.","contributorId":317737,"corporation":false,"usgs":false,"family":"Johnston","given":"Carol","email":"","middleInitial":"E.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":879206,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250870,"text":"70250870 - 2023 - Role of trace metal co-limitation in cyanobacterial blooms of Maumee Bay (Lake Erie) and Green Bay (Lake Michigan)","interactions":[],"lastModifiedDate":"2024-01-10T15:01:07.931726","indexId":"70250870","displayToPublicDate":"2023-06-28T08:54:09","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Role of trace metal co-limitation in cyanobacterial blooms of Maumee Bay (Lake Erie) and Green Bay (Lake Michigan)","docAbstract":"The open waters of large lakes can sometimes become so depleted in important metals that phytoplankton communities become either growth limited or limited in some metabolic function. Metals such as Fe, Ni, Mo, and Zn are used as co-factors for enzymes by phytoplankton in core metabolic functions, as well as metabolic pathways that allow phytoplankton to use less preferred forms of N and P (e.g. nitrates, urea, and organic phosphorus). In the Laurentian Great Lakes, metal limitation has been observed primarily in waters that are isolated from tributary inputs and sediment exchange. These are situations where the supply of metals is very low relative to demand. We hypothesized that another situation where metal limitation could occur is within algal blooms, where the demand for metals is high because preferred forms of N and P are often low or absent and the phytoplankton biomass is extremely high. As a preliminary test of this hypothesis, we performed seven laboratory incubation experiments on naturally occurring phytoplankton communities from two nearshore habitats that frequently experience blooms (Green Bay in Lake Michigan and Maumee Bay in Lake Erie). Metals and labile nutrients (inorganic N and P) were often present at low concentrations or below the method detection limit. Amendments of inorganic N (5 experiments) and P (1 one experiment) resulted in increased chlorophyll in laboratory incubations, but metal amendments alone never appeared to stimulate growth. Although we attempted to sample during conditions when we hypothesized metal limitation would be most likely, we cannot rule out the possibility that metal limitation is occurring at other times in these eutrophic nearshore areas. Further, metal availability could affect other aspects of the phytoplankton community, such as the production of cyanotoxins or the interactions between different phytoplankton taxa.
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biome","interactions":[],"lastModifiedDate":"2023-09-05T12:59:12.314377","indexId":"70248113","displayToPublicDate":"2023-06-28T07:38:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Plant traits poorly predict winner and loser shrub species in a warming tundra biome","docAbstract":"Climate change is leading to species redistributions. In the tundra biome, shrubs are generally expanding, but not all tundra shrub species will benefit from warming. Winner and loser species, and the characteristics that may determine success or failure, have not yet been fully identified. Here, we investigate whether past abundance changes, current range sizes and projected range shifts derived from species distribution models are related to plant trait values and intraspecific trait variation. We combined 17,921 trait records with observed past and modelled future distributions from 62 tundra shrub species across three continents. We found that species with greater variation in seed mass and specific leaf area had larger projected range shifts, and projected winner species had greater seed mass values. However, trait values and variation were not consistently related to current and projected ranges, nor to past abundance change. Overall, our findings indicate that abundance change and range shifts will not lead to directional modifications in shrub trait composition, since winner and loser species share relatively similar trait spaces.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-023-39573-4","usgsCitation":"Garcia Criado, M., Myers-Smith, I.H., Bjorkman, A., Normand, S., Blach-Overgaard, A., Thomas, H.J., Eskelinen, A., Happonen, K., Alatalo, J., Anadon-Rosell, A., Aubin, I., te Beest, M., Betway-May, K.R., Blok, D., Buras, A., Cerabolini, B.E., Christie, K.S., Cornelissen, J.H., Forbes, B.C., Frei, E.R., Grogan, P., Hermanutz, L., Hollister, R.D., Hudson, J., Iturrate-Garcia, M., Kaarlejarvi, E., Kleyer, M., Lamarque, L.J., Lembrechts, J.J., Levesque, E., Luoto, M., Macek, P., May, J., Prevey, J.S., Schaepman-Strub, G., Sheremetiev, S.N., Siegwart Collier, L., Soudzilovskaia, N.A., Trant, A., Venn, S.E., and Virkkala, A., 2023, Plant traits poorly predict winner and loser shrub species in a warming tundra biome: Nature Communications, v. 14, 3837, 17 p., https://doi.org/10.1038/s41467-023-39573-4.","productDescription":"3837, 17 p.","ipdsId":"IP-135517","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-39573-4","text":"Publisher Index Page"},{"id":420469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Hemisphere","volume":"14","noUsgsAuthors":false,"publicationDate":"2023-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia Criado, Mariana","contributorId":328994,"corporation":false,"usgs":false,"family":"Garcia Criado","given":"Mariana","email":"","affiliations":[{"id":61891,"text":"School of GeoSciences, University of Edinburgh, Kings Buildings, 113 Crew Building, West Mains Road, Edinburgh EH9 3FF, UK","active":true,"usgs":false}],"preferred":false,"id":881901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers-Smith, Isla H.","contributorId":328995,"corporation":false,"usgs":false,"family":"Myers-Smith","given":"Isla","email":"","middleInitial":"H.","affiliations":[{"id":61891,"text":"School of GeoSciences, University of Edinburgh, Kings Buildings, 113 Crew Building, West Mains Road, Edinburgh EH9 3FF, UK","active":true,"usgs":false}],"preferred":false,"id":881902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjorkman, Anne 0000-0003-2174-7800","orcid":"https://orcid.org/0000-0003-2174-7800","contributorId":260911,"corporation":false,"usgs":false,"family":"Bjorkman","given":"Anne","email":"","affiliations":[{"id":52710,"text":"(1) Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden (2) Gothenburg Global Biodiversity Centre, Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":881903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Normand, Signe","contributorId":30545,"corporation":false,"usgs":true,"family":"Normand","given":"Signe","email":"","affiliations":[],"preferred":false,"id":881904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blach-Overgaard, Anne","contributorId":328999,"corporation":false,"usgs":false,"family":"Blach-Overgaard","given":"Anne","email":"","affiliations":[{"id":52728,"text":"Department of Biology, Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":881905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Haydn J. 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University of Waterloo, Waterloo, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":881938,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Venn, Susanna E.","contributorId":329025,"corporation":false,"usgs":false,"family":"Venn","given":"Susanna","email":"","middleInitial":"E.","affiliations":[{"id":78570,"text":"Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Burwood, Victoria, 3125 Australia","active":true,"usgs":false}],"preferred":false,"id":881939,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Virkkala, Anna-Maria","contributorId":329026,"corporation":false,"usgs":false,"family":"Virkkala","given":"Anna-Maria","email":"","affiliations":[{"id":78564,"text":"Institute of Hydrobiology, Biology Centre of Czech Academy of Sciences, Na Sadkach 7, 370 05 Ceske Budejovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":881940,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}} ,{"id":70255040,"text":"70255040 - 2023 - Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos","interactions":[],"lastModifiedDate":"2024-06-12T23:14:10.953527","indexId":"70255040","displayToPublicDate":"2023-06-27T18:08:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos","docAbstract":"Understanding large carnivore demography on human-dominated lands is a priority to inform conservation strategies, yet few studies examine long-term trends. Jaguars (Panthera onca) are one such species whose population trends and survival rates remain unknown across working lands. We integrated nine years of camera trap data and tourist photos to estimate jaguar density, survival, abundance, and probability of tourist sightings on a working ranch and tourism destination in Colombia. We found that abundance increased from five individuals in 2014 to 28 in 2022, and density increased from 1.88 ± 0.87 per 100 km2 in 2014 to 3.80 ± 1.08 jaguars per 100 km2 in 2022. The probability of a tourist viewing a jaguar increased from 0% in 2014 to 40% in 2020 before the Covid-19 pandemic. Our results are the first robust estimates of jaguar survival and abundance on working lands. Our findings highlight the importance of productive lands for jaguar conservation and suggest that a tourism destination and working ranch can host an abundant population of jaguars when accompanied by conservation agreements and conflict interventions. Our analytical model that combines conventional data collection with tourist sightings can be applied to other species that are observed during tourism activities.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-36935-2","usgsCitation":"Hyde, M., Payan, E., Barragan, J., Stasiukynas, D., Kendall, W.L., Rincon, S., Rodriguez, J., Crooks, K., Breck, S., and Boron, V., 2023, Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos: Scientific Reports, v. 13, 10408, 11 p., https://doi.org/10.1038/s41598-023-36935-2.","productDescription":"10408, 11 p.","ipdsId":"IP-151847","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":442932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-36935-2","text":"Publisher Index Page"},{"id":430051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyde, Matthew","contributorId":338376,"corporation":false,"usgs":false,"family":"Hyde","given":"Matthew","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payan, Esteban","contributorId":338377,"corporation":false,"usgs":false,"family":"Payan","given":"Esteban","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barragan, Jorge","contributorId":338378,"corporation":false,"usgs":false,"family":"Barragan","given":"Jorge","email":"","affiliations":[{"id":81123,"text":"Reserva Natural de la Sociedad Civil Hato La Aurora","active":true,"usgs":false}],"preferred":false,"id":903232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stasiukynas, Diana","contributorId":338379,"corporation":false,"usgs":false,"family":"Stasiukynas","given":"Diana","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rincon, Samantha","contributorId":338382,"corporation":false,"usgs":false,"family":"Rincon","given":"Samantha","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rodriguez, Jeronimo","contributorId":338383,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Jeronimo","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crooks, Kevin R.","contributorId":338384,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breck, Stewart W.","contributorId":338385,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart W.","affiliations":[{"id":81125,"text":"United States Department of Agriculture (USDA)-Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":903238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boron, Valeria","contributorId":338386,"corporation":false,"usgs":false,"family":"Boron","given":"Valeria","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903239,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70245175,"text":"ofr20231035 - 2023 - Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20","interactions":[],"lastModifiedDate":"2026-02-11T21:13:34.077099","indexId":"ofr20231035","displayToPublicDate":"2023-06-27T12:48:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1035","displayTitle":"Integrated Rangeland Fire Management Strategy Actionable Science Plan Completion Assessment: Climate and Weather Topic, 2015–20","title":"Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20","docAbstract":"Loss and degradation of sagebrush (Artemisia spp.) rangelands due to an accelerated invasive annual grass-wildfire cycle and other stressors are significant management, conservation, and economic issues in the western U.S. These sagebrush rangelands comprise a unique biome spanning 11 states, support over 350 wildlife species, and provide important ecosystem services that include stabilizing the economies of western communities. Impacts to sagebrush ecosystem processes over large areas due to the annual grass-wildfire cycle necessitated the development of a coordinated, science-based strategy for improving efforts to achieve long-term protection, conservation, and restoration of sagebrush rangelands, which was framed in 2015 under the Integrated Rangeland Fire Management Strategy (IRFMS). Central to this effort was the development of an Actionable Science Plan (Plan) that identified 37 priority science needs (hereinafter, “Needs”) for informing the actions proposed under the five topics (Fire, Invasives, Restoration, Sagebrush and Sage-Grouse (Centrocercus urophasianus), Climate and Weather) that were part of the collective focus of the IRFMS. Notable keys to this effort were identification of the Needs co-produced by managers and researchers, and a focus on resulting science being “actionable.”
Substantial investments aimed at fulfilling the Needs identified in the Plan have been made since its release in 2016. While the state of the science has advanced considerably, the extent to which knowledge gaps remain relative to identified Needs is relatively unknown. Moreover, new Needs have likely emerged since the original strategy as results from actionable science reveal new questions and possible (yet untested) solutions. A quantifiable assessment of the progress made on the original science Needs can identify unresolved gaps and new information that can help inform prioritization of future research efforts.
This report details a systematic literature review that evaluated how well peer-reviewed journal articles and formal technical reports published between January 1, 2015, and December 31, 2020, addressed four Needs identified under the Climate and Weather topic in the Plan. The topic outlined research Needs broadly focused on understanding the potential effects of climate change on vegetative resilience to inform restoration of sagebrush rangelands. We established the level of progress towards addressing each Need following a standardized set of criteria, and developed summaries detailing how research objectives nested within Needs identified in the Plan (hereinafter, “Next Steps”) were either addressed well, partially addressed or remain outstanding (that is, addressed poorly) in the literature through 2020. Our searches resulted in the inclusion of 92 science products that at least partially addressed a Need identified in the Climate and Weather topic. The Needs that were well and partially addressed included:
The Need addressed poorly was the identification of native plant species, genotypes and ecotypes, and seed mixes that may be resilient to a changing climate. The information provided in this assessment will assist updating the Plan, and can inform updates of other relevant science planning documents as needed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231035","usgsCitation":"Anthony, C.R., Holloran, M.J., Ricca, M.A., Hanser, S.E., Phillips, S.L., Steblein, P., and Wiechman, L.A., 2023, Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20: U.S. Geological Survey Open-File Report 2023–1035, 21 p., https://doi.org/10.3133/ofr20231035.","productDescription":"vi, 21 p.","onlineOnly":"Y","ipdsId":"IP-146246","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1035/ofr20231035.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1035"},{"id":418268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1035/coverthb.jpg"},{"id":418270,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231035/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1035"},{"id":418484,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231003","text":"OFR 2023-1003 —","description":"OFR 2023-1003","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Invasives topic, 2015–20"},{"id":418485,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231004","text":"OFR 2023-1004 —","description":"OFR 2023-1004","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Restoration topic, 2015–20"},{"id":418486,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231009","text":"OFR 2023-1009 —","description":"OFR 2023-1009","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Fire topic, 2015–20"},{"id":499777,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114937.htm","linkFileType":{"id":5,"text":"html"}},{"id":418487,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231010","text":"OFR 2023-1010 —","description":"OFR 2023-1010","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Sagebrush and sage-grouse topic, 2015–20"},{"id":418272,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1035/ofr20231035.XML"},{"id":418271,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1035/images"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.36129089491212,\n 48.70726157141266\n ],\n [\n -123.36129089491212,\n 35.200401221823014\n ],\n [\n -101.0466463055924,\n 35.200401221823014\n ],\n [\n -101.0466463055924,\n 48.70726157141266\n ],\n [\n -123.36129089491212,\n 48.70726157141266\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
777 NW 9th Street, Suite 400
Corvallis, OR 97330
Dreissenid mussels are one of the most problematic aquatic invasive species (AIS) in North America, causing substantial ecological and economic effects. To date, dreissenid mussel control efforts in open water have included physical, biological, and chemical methods. The feasibility of successful dreissenid mussel management or eradication in lakes is relatively undocumented in the freshwater management literature. This review presents information on 33 open water dreissenid mussel control projects in 23 North America lakes. We reviewed data from past dreissenid mussel control projects and identified patterns and knowledge gaps to help inform adaptive management strategies. The three key lessons learned include (1) pre- and post-treatment survey methods that are designed to meet management objectives are beneficial, e.g., by sampling for all life stages and taking into account that no survey method is completely comprehensive; (2) defining the treatment area—particularly ensuring it is sufficiently large to capture all life stages present—is critical to meeting management objectives; and (3) control projects provide an opportunity to collect water chemistry, effects on non-target organisms, and other efficacy-related data that can inform safe and effective adaptive management.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-36522-5","usgsCitation":"Dahlberg, A.D., Waller, D.L., Hammond, D., Lund, K., and Phelps, N.B., 2023, Open water dreissenid mussel control projects: Lessons learned from a retrospective analysis: Scientific Reports, v. 13, 10410, 13 p., https://doi.org/10.1038/s41598-023-36522-5.","productDescription":"10410, 13 p.","ipdsId":"IP-145079","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-36522-5","text":"Publisher Index Page"},{"id":420241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dahlberg, Angelique D.","contributorId":328772,"corporation":false,"usgs":false,"family":"Dahlberg","given":"Angelique","email":"","middleInitial":"D.","affiliations":[{"id":78488,"text":"Minnesota Aquatic Invasive Species Research Center and Department of Fisheries, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":881241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, David","contributorId":328773,"corporation":false,"usgs":false,"family":"Hammond","given":"David","email":"","affiliations":[{"id":78489,"text":"Earth Science Laboratories, Inc.","active":true,"usgs":false}],"preferred":false,"id":881243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lund, Keegan","contributorId":328774,"corporation":false,"usgs":false,"family":"Lund","given":"Keegan","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":881244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phelps, Nicholas B. D.","contributorId":328775,"corporation":false,"usgs":false,"family":"Phelps","given":"Nicholas","email":"","middleInitial":"B. D.","affiliations":[{"id":78488,"text":"Minnesota Aquatic Invasive Species Research Center and Department of Fisheries, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":881245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247116,"text":"70247116 - 2023 - Editorial: Micro-to nano-analytical challenges towards trace element characterization of ore minerals: New perspectives and applications for sustainable georesources","interactions":[],"lastModifiedDate":"2023-07-31T17:46:23.722918","indexId":"70247116","displayToPublicDate":"2023-06-27T09:00:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Micro-to nano-analytical challenges towards trace element characterization of ore minerals: New perspectives and applications for sustainable georesources","docAbstract":"No abstract available.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2023.1227737","usgsCitation":"Keith, M., Hayes, S.M., Ciobanu, C.L., Fougerouse, D., and Reich, M., 2023, Editorial: Micro-to nano-analytical challenges towards trace element characterization of ore minerals: New perspectives and applications for sustainable georesources: Frontiers in Earth Science, v. 11, 1227737, 2 p., https://doi.org/10.3389/feart.2023.1227737.","productDescription":"1227737, 2 p.","ipdsId":"IP-153521","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":442937,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1227737","text":"Publisher Index Page"},{"id":419299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Manuel","contributorId":317830,"corporation":false,"usgs":false,"family":"Keith","given":"Manuel","email":"","affiliations":[],"preferred":false,"id":879390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Sarah M. 0000-0001-5887-6492","orcid":"https://orcid.org/0000-0001-5887-6492","contributorId":208569,"corporation":false,"usgs":true,"family":"Hayes","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":878929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciobanu, C. L.","contributorId":317287,"corporation":false,"usgs":false,"family":"Ciobanu","given":"C.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":878930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fougerouse, D.","contributorId":317288,"corporation":false,"usgs":false,"family":"Fougerouse","given":"D.","email":"","affiliations":[],"preferred":false,"id":878931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reich, M.","contributorId":317289,"corporation":false,"usgs":false,"family":"Reich","given":"M.","email":"","affiliations":[],"preferred":false,"id":878932,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}