Radio collars have been used to examine the spatial ecology of all North American ungulates, but are rarely used on feral horses due to concerns that they may cause injury. Due to public concerns for animal welfare, an alternative to radio collars for tracking feral horses, particularly stallions, over the short term would be useful. We developed a method of attaching a global positioning system (GPS) transmitter to feral horse tails, and provide step by step instructions so that others may apply this method. We braided the tail and affixed a transmitter tag to the braid with epoxy, cable ties, and an attachment cord run through the braid. Between 2016 and 2017 we fitted 114 VHF or VHF-GPS tags in the tails of free-roaming feral horses in western Utah. From when tags were fitted to September 2020 tag retention time ranged from <1 to 36 months (n = 111, mean = 8.50 ± SD 6.39 months). We found that our braided, tail-mounted transmitter tags can provide a viable alternative to radio collars for meeting shorter-term data collection needs once data transmission difficulties are overcome.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1338","usgsCitation":"King, S.R., and Schoenecker, K., 2022, Application of tail transmitters for tracking feral horses as an alternative to radio collars: Wildlife Society Bulletin, v. 46, no. 4, e1338, 9 p., https://doi.org/10.1002/wsb.1338.","productDescription":"e1338, 9 p.","ipdsId":"IP-129913","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Conger Herd Management Area, Frisco Herd Management Area, Sulphur Springs Herd Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.03358980597041,\n 41.99245468276973\n ],\n [\n -114.05551299770433,\n 37.00574853871275\n ],\n [\n -113.3320476704814,\n 37.01450169249067\n ],\n [\n -112.29069606311519,\n 38.28160056526153\n ],\n [\n -112.04954095404076,\n 39.914801662668765\n ],\n [\n -114.03358980597041,\n 41.99245468276973\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R. B. 0000-0002-9316-7488","orcid":"https://orcid.org/0000-0002-9316-7488","contributorId":280063,"corporation":false,"usgs":false,"family":"King","given":"Sarah","email":"","middleInitial":"R. B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881742,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70235773,"text":"70235773 - 2022 - Metabolic costs associated with seawater acclimation in a euryhaline teleost, the fourspine stickleback (Apeltes quadracus)","interactions":[],"lastModifiedDate":"2022-08-18T14:35:38.312092","indexId":"70235773","displayToPublicDate":"2022-08-18T09:28:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12550,"text":"Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Metabolic costs associated with seawater acclimation in a euryhaline teleost, the fourspine stickleback (Apeltes quadracus)","title":"Metabolic costs associated with seawater acclimation in a euryhaline teleost, the fourspine stickleback (Apeltes quadracus)","docAbstract":"The cost of osmoregulation in teleosts has been debated for decades, with estimates ranging from one to 30 % of routine metabolic rate. The variation in the energy budget appears to be greater for euryhaline fish due to their ability to withstand dynamic salinity levels. In this study, a time course of metabolic and physiological responses of the euryhaline fourspine stickleback (Apeltes quadracus) acclimated to freshwater (FW) and then exposed to seawater (SW) was examined. There was 18% mortality in the first 3 days following exposure to SW, with no mortalities in the FW control group. Gill Na+/K+-ATPase (NKA) activity, an index of osmoregulatory capacity, increased 2.6-fold in SW fish peaking on days 7 and 14. Gill citrate synthase activity, an index of aerobic capacity, was 50–62% greater in SW than FW fish and peaked on day 7. Tissue water content was significantly lower in the SW fish on day 1 only, returning to FW levels by day 3. Routine metabolic rate was decreased within 24 h of SW exposure and was maintained slightly (8–22%) but significantly lower in SW compared to FW water controls throughout the 2-week experiment. These results indicate that elevated salinity resulted in increased SW osmoregulatory and aerobic capacity in the gill, but with a reduced whole animal metabolic rate to this euryhaline species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cbpb.2022.110780","usgsCitation":"Norstog, J.L., McCormick, S.D., and Kelly, J.T., 2022, Metabolic costs associated with seawater acclimation in a euryhaline teleost, the fourspine stickleback (Apeltes quadracus): Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, v. 262, 110780, https://doi.org/10.1016/j.cbpb.2022.110780.","productDescription":"110780","ipdsId":"IP-136345","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":405304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"262","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Norstog, Jessica L. 0000-0002-5495-5131","orcid":"https://orcid.org/0000-0002-5495-5131","contributorId":295345,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":849236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":849237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, John T.","contributorId":150626,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":18054,"text":"University of New Haven","active":true,"usgs":false}],"preferred":false,"id":849238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70238485,"text":"70238485 - 2022 - The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral","interactions":[],"lastModifiedDate":"2022-11-28T13:51:09.520414","indexId":"70238485","displayToPublicDate":"2022-08-18T07:46:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral","docAbstract":"Drought contributed to extensive dieback of southern California chaparral, and normalized difference vegetation index before drought and near the end of the drought was used to estimate this dieback, after accounting for other disturbances recorded in aerial photographs. Within the perimeters of two megafires that occurred after the drought, the 2017 Thomas Fire and the 2018 Woolsey Fire, there had been extensive areas of dieback. Comparing dieback with Monitoring Trends in Burn Severity measures of fire severity, there was a highly significant negative relationship between drought-caused shrub dieback and fire-caused dieback as measured by fire severity. We interpret this as further support for our remote sensing methodology for prefire dieback. Models of fire behavior suggest that one means by which dieback contributes to fire size is through increasing the density and distance of spot fires, particularly under extreme wind conditions. Lower elevation chaparral associations appear to be most vulnerable and are closer to urban environments, which should be a concern to fire managers in regions subjected to extended droughts.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4203","usgsCitation":"Keeley, J., Brennan-Kane, T.J., and Syphard, A.D., 2022, The effects of prolonged drought on vegetation dieback and megafires in southern California chaparral: Ecosphere, v. 13, no. 8, e4203, 16 p., https://doi.org/10.1002/ecs2.4203.","productDescription":"e4203, 16 p.","ipdsId":"IP-136211","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446744,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4203","text":"Publisher Index Page"},{"id":435726,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91LIW2P","text":"USGS data release","linkHelpText":"The Effect of Prolonged Drought on Chaparral Dieback within the Perimeters of the Thomas and Woolsey Fires in Southern California, USA"},{"id":409688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Los Angeles County, Santa Barbara County, Venture County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.5917796123387,\n 34.052337495398135\n ],\n [\n -118.4772825512335,\n 34.467490859424444\n ],\n [\n -119.38587213290705,\n 34.92905378144492\n ],\n [\n -119.67765496604588,\n 34.46140052062019\n ],\n [\n -119.13102383560852,\n 34.1410346214366\n ],\n [\n -118.79122610587672,\n 34.02785296997229\n ],\n [\n -118.5917796123387,\n 34.052337495398135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brennan-Kane, Theresa J 0000-0002-0646-3298","orcid":"https://orcid.org/0000-0002-0646-3298","contributorId":292871,"corporation":false,"usgs":false,"family":"Brennan-Kane","given":"Theresa","email":"","middleInitial":"J","affiliations":[{"id":63051,"text":"previously WERC","active":true,"usgs":false}],"preferred":false,"id":857605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":857606,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70235785,"text":"70235785 - 2022 - Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023","interactions":[],"lastModifiedDate":"2022-08-19T13:37:36.641728","indexId":"70235785","displayToPublicDate":"2022-08-18T07:19:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Simplifying complex fault data for systems-level analysis: Earthquake geology inputs for U.S. NSHM 2023","docAbstract":"As part of the U.S. National Seismic Hazard Model (NSHM) update planned for 2023, two databases were prepared to more completely represent Quaternary-active faulting across the western United States: the NSHM23 fault sections database (FSD) and earthquake geology database (EQGeoDB). In prior iterations of NSHM, fault sections were included only if a field-measurement-derived slip rate was estimated along a given fault. By expanding this inclusion criteria, we were able to assess a larger set of faults for use in NSHM23. The USGS Quaternary Fault and Fold Database served as a guide for assessing possible additions to the NSHM23 FSD. Reevaluating available data from published sources yielded an increase of fault sections from ~650 faults in NSHM18 to ~1,000 faults proposed for use in NSHM23. EQGeoDB, a companion dataset linked to NSHM23 FSD, contains geologic slip rate estimates for fault sections included in FSD. Together, these databases serve as common input data used in deformation modeling, earthquake rupture forecasting, and additional downstream uses in NSHM development.
Open-source intelligence (OSINT) evolved in spy agencies but now is rapidly changing many fields of study, from anthropology to zoology. Despite the fact that OSINT occasionally is used in conservation biology, there is little recognition that some tools and frameworks used by conservation professionals are drawn from this well-established field. The history and conceptual foundations of OSINT stem from the intelligence community, although OSINT tools are rapidly being applied in other fields. In conservation biology, OSINT is sometimes used to evaluate wildlife crime, human-wildlife and human-environment interactions, animal behavior, and questions of distribution and abundance. Recognizing the conceptual foundations of the field would allow expansion of conservation biology, not only in the areas noted above, but also, for example, in study of habitat use, habitat change, and animal behavior. This recognition would also provide frameworks for conceptual advancement, especially in terms of data and privacy management. Failure to recognize the underpinnings of OSINT tools in conservation biology harms the field because it limits how research is framed, thought about, and implemented. Likewise, taking an OSINT perspective to conservation problems, rather than simply thinking in terms of big data, can enrich the field, expand science, and increase knowledge and understanding of biology and biodiversity.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13988","usgsCitation":"Katzner, T., Thomason, E.C., Huhmann, K., Conkling, T., Concepcion, C.B., Slabe, V., and Poessel, S.A., 2022, Open-source intelligence for conservation biology: Conservation Biology, v. 36, no. 6, e13988, 9 p., https://doi.org/10.1111/cobi.13988.","productDescription":"e13988, 9 p.","ipdsId":"IP-141281","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":405986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":850414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomason, Eve C. 0000-0002-9141-9397","orcid":"https://orcid.org/0000-0002-9141-9397","contributorId":245270,"corporation":false,"usgs":false,"family":"Thomason","given":"Eve","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":850415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huhmann, Karrin","contributorId":296027,"corporation":false,"usgs":false,"family":"Huhmann","given":"Karrin","email":"","affiliations":[{"id":63970,"text":"Conservation Science Global","active":true,"usgs":false}],"preferred":false,"id":850416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conkling, Tara 0000-0003-1926-8106","orcid":"https://orcid.org/0000-0003-1926-8106","contributorId":217915,"corporation":false,"usgs":true,"family":"Conkling","given":"Tara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":850417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Concepcion, Camille B.","contributorId":190164,"corporation":false,"usgs":false,"family":"Concepcion","given":"Camille","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":850418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slabe, Vincent","contributorId":205309,"corporation":false,"usgs":false,"family":"Slabe","given":"Vincent","affiliations":[{"id":37080,"text":"West Virginia University, Division of Forestry and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":850419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@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":850420,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235879,"text":"70235879 - 2022 - Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae)","interactions":[],"lastModifiedDate":"2022-10-17T15:53:54.571149","indexId":"70235879","displayToPublicDate":"2022-08-18T06:53:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2244,"text":"Journal of Economic Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae)","docAbstract":"Resistance to traditional synthetic compounds by Varroa destructor Anderson and Trueman and shortcomings of the organic acid class of acaracides commonly used in varroa management requires continual development of new controls. V. destructor, however, are difficult to obtain for use in control bioassays because they are obligate parasites that cannot be easily reared outside of a honey bee colony. We conducted bioassays using other, more easily obtainable species to find organisms that could be used as surrogates for V. destructor when testing new potential controls. We compared the toxicities of acetic acid, lactic acid, formic acid, and oxalic acid at 0.005%, 0.05%, 0.5%, 5%, and 50% (20% oxalic acid only) concentrations based on natural volatility (nonheated) for the control of two beetle species, Oryzaephilus surinamensis L. and Alphitobius diaperinus Panzer, greater wax moth larvae, Galleria mellonella L., and V. destructor. The assay results were consistent across all species with formic acid and acetic acid showing 100% mortality of all four test species at 50% concentration. The assays also provided insight into the method of application (vaporization or contact) needed to cause mortality. Our results show that other organisms can be used in place of V. destructor for initial testing of acids and possibly other chemicals for control of the ectoparasite.
","language":"English","publisher":"Entomological Society of America","doi":"10.1093/jee/toac120","usgsCitation":"Vieira, J., Johnson, C.L., Varkonyi, E.M., Ginsberg, H., Picard, K., Kiesewetter, M., and Alm, S.R., 2022, Using surrogate insects in acid bioassays for development of new controls for Varroa destructor (Arachnida: Varroidae): Journal of Economic Entomology, v. 115, no. 5, p. 1417-1422, https://doi.org/10.1093/jee/toac120.","productDescription":"6 p.","startPage":"1417","endPage":"1422","ipdsId":"IP-137146","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489193,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/45","text":"External Repository"},{"id":405528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Vieira, Julia","contributorId":295496,"corporation":false,"usgs":false,"family":"Vieira","given":"Julia","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Casey L.","contributorId":295497,"corporation":false,"usgs":false,"family":"Johnson","given":"Casey","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varkonyi, Elizabeth M.","contributorId":295498,"corporation":false,"usgs":false,"family":"Varkonyi","given":"Elizabeth","email":"","middleInitial":"M.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ginsberg, Howard 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":15473,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849605,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Picard, Kassie","contributorId":295499,"corporation":false,"usgs":false,"family":"Picard","given":"Kassie","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiesewetter, Mattew","contributorId":295500,"corporation":false,"usgs":false,"family":"Kiesewetter","given":"Mattew","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":849607,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alm, Steven R.","contributorId":177872,"corporation":false,"usgs":false,"family":"Alm","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":849608,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235724,"text":"sir20225043 - 2022 - Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island","interactions":[],"lastModifiedDate":"2026-04-09T17:35:58.64895","indexId":"sir20225043","displayToPublicDate":"2022-08-17T19:45:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5043","displayTitle":"Water-Quality Conditions and Constituent Loads, Water Years 2013–19, and Water-Quality Trends, Water Years 1983–2019, in the Scituate Reservoir Drainage Area, Rhode Island","title":"Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island","docAbstract":"The Scituate Reservoir is the primary source of drinking water for more than 60 percent of the population of Rhode Island. From October 1, 1982, to September 30, 2019, water years (WYs) 1983–2019 (a water year is the period between October 1 and September 30 and is designated by the year in which it ends), the Providence Water Supply Board maintained a fixed-frequency sampling program at 37 stations to monitor water quality in tributaries to the Scituate Reservoir. The U.S. Geological Survey (USGS), in cooperation with the Providence Water Supply Board, has measured streamflow at selected streamgages in the Scituate Reservoir drainage area since WY 1994, monitored water quality at selected stations since WY 2009, and conducted targeted base-flow and stormflow sampling at five stations in WYs 2016–19. Daily loads and yields of constituents (chloride, nitrite, nitrate, total coliform bacteria, Escherichia coli, and orthophosphate) were determined for sampled days during WYs 2013–19, and trends were examined for the entire period of record, predominantly WYs 1983–2019. USGS water-quality data were used to determine annual loads and yields of chloride and sodium for WYs 2013–19 at 14 stations, and nutrients and suspended sediment for WYs 2016–19 at 5 stations.
Tributaries in the Scituate Reservoir drainage area for WYs 2013–19 were slightly acidic (pH values less than 7.0 standard units) and often below the recommended pH range of 6.5 to 8.5 standard units, as described by the U.S. Environmental Protection Agency (EPA) in the secondary drinking-water regulations. Most measurements of water color in the tributaries were greater than the EPA secondary drinking-water regulation of 15 platinum-cobalt units. Chloride concentrations in Providence Water Supply Board samples rarely exceeded the EPA secondary drinking-water regulation for chloride (250 milligrams per liter); however, chloride concentrations estimated from continuous measurements of specific conductance exceeded the EPA criterion continuous concentration recommended for freshwater (230 milligrams per liter) for short periods ranging from 10 minutes to 26 hours at two streamgages.
Positive trends in pH, color, alkalinity, and chloride at more than half of the monitoring stations were identified for WYs 1983–2019. Fewer than half of the stations had significant trends in turbidity values, and significant trends varied in direction (positive or negative trends). Trend tests were not performed on total coliform bacteria, Escherichia coli, and nitrate concentrations because of analytical method changes that coincide with abrupt shifts in the magnitude and distribution of concentration data.
The median of daily loads and yields of chloride, nitrite, nitrate, orthophosphate, and bacteria determined for each Providence Water Supply Board sample in WYs 2013–19 varied across the 37 monitoring stations, but yields were generally greater at stations in the Moswansicut and Regulating Reservoir subbasins. Average daily yields of chloride and sodium estimated from continuous records of specific-conductance and streamflow data at 14 stations ranged from 42 to 310 kilograms per square mile per day and 28 to 180 kilograms per square mile per day, respectively. The mean annual yields of total phosphorus, total nitrogen, and suspended sediment determined for five stations ranged from 16 to 78 kilograms per square mile, from 370 to 2,100 kilograms per square mile, and from 5,000 to 13,000 kilograms per square mile, respectively. More than half of the nutrient and suspended sediment loads occurred during stormflow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225043","collaboration":"Prepared in cooperation with the Providence Water Supply Board","usgsCitation":"Spaetzel, A.B., and Smith, K.P., 2022, Water-quality conditions and constituent loads, water years 2013–19, and water-quality trends, water years 1983–2019, in the Scituate Reservoir drainage area, Rhode Island: U.S. Geological Survey Scientific Investigations Report 2022–5043, 102 p., https://doi.org/10.3133/sir20225043.","productDescription":"Report: xiv, 102 p.; Data Release","numberOfPages":"102","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-128796","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":405192,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5043/images/"},{"id":405190,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98XCK0R","text":"USGS data release","linkHelpText":"Water-quality, streamflow, and quality-control data supporting estimation of nutrient and sediment loads in the Scituate Reservoir drainage area, Rhode Island, water years 2016–19"},{"id":502398,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113397.htm","linkFileType":{"id":5,"text":"html"}},{"id":405191,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5043/sir20225043.XML"},{"id":405188,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5043/sir20225043.pdf","text":"Report","size":"10.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5043"},{"id":405187,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5043/coverthb.jpg"}],"country":"United States","state":"Rhode Island","otherGeospatial":"Scituate Reservoir drainage area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.79840087890625,\n 41.724180549563606\n ],\n [\n -71.52786254882812,\n 41.724180549563606\n ],\n [\n -71.52786254882812,\n 41.96459591213679\n ],\n [\n -71.79840087890625,\n 41.96459591213679\n ],\n [\n -71.79840087890625,\n 41.724180549563606\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
Regulatory entities, such as the Minnesota Department of Health, monitor public water systems for conformance with Federal and State monitoring requirements and water-quality standards. Although some contaminants have Federal and (or) State regulations and guidance values, many contaminants, such as pesticides and pharmaceuticals, are unregulated in that only non-enforceable health-based guidance values have been assigned to them. Furthermore, because these contaminants are not regulated, commonly only limited resources are available to public water systems or regulatory entities to monitor them in drinking water. Focused screening efforts on contaminants that are frequently detected in the environment can provide information to help monitoring entities prioritize their sampling efforts.
Here we assess the use of enzyme-linked immunosorbent assay (ELISA) method, a rapid, inexpensive screening method, as an alternative to more expensive methods to analyze source and finished drinking-water samples collected from public water systems throughout Minnesota for three commonly detected pesticides (atrazine, imidacloprid, and pyrethroids) and three commonly detected pharmaceuticals (caffeine, carbamazepine, and sulfamethoxazole). The ELISA results were compared to results provided by more advanced mass-spectrometry analytical methods at the U.S. Geological Survey National Water Quality Laboratory (NWQL) and SGS AXYS Analytical Services Ltd. (AXYS).
Overall, these datasets are highly censored (>80 percent) and contain multiple reporting limits within and between laboratories. To discern agreement between paired contaminant group results (target contaminant plus immunologically similar contaminants) by ELISA and the advanced analytical methods at NWQL and AXYS, presence-absence agreement analysis was coupled with false negative and false positive analysis. Analysis of presence-absence agreement shows that ELISA has generally good agreement (77.9 to 100 percent) with both NWQL and AXYS for all unregulated contaminant groups. Imidicloprid, pyrethroids, and caffeine contaminant groups have relatively low false positivity rates (16, 6, and 5 percent, respectively) when analyzed by ELISA, which indicates the ELISA method, for these contaminant groups, could be experiencing low-level interference attributed to the detection of immunologically similar contaminants. Similarly, sulfamethoxazole has a low false positivity rate (0.8 percent), which indicates ELISA is likely not overestimating results for this contaminant group. Analyses for carbamazepine and sulfamethoxazole by ELISA resulted in low false negativity rates (1.6 and 0.8 percent, respectively), which indicates the ELISA method is likely not underestimating the results for this contaminant group. Conversely, the atrazine contaminant group has a high false negativity rate (84 percent), which indicates the method has a strong negative bias and that ELISA underestimates results for this contaminant. These qualitative results indicate that the ELISA method could potentially serve as a reliable and cost-effective screening method to help drinking water monitoring entities prioritize sampling efforts for analyzing carbamazepine and sulfamethoxazole in source and finished drinking-water samples collected from public water systems. At the same time, although ELISA did not prove to be a good screening method for atrazine, evaluation of ELISA results indicated that its use for screening imidacloprid, pyrethroids, and caffeine could be beneficial for water testing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225066","collaboration":"Prepared in cooperation with the Minnesota Department of Health","usgsCitation":"Krall, A.L., Elliott, S.M., de Lambert, J.R., and Robertson, S.W., 2022, Comparison of the results of enzyme-linked immunosorbent assay (ELISA) to mass-spectrometry based analytical methods for six unregulated contaminants in source water and finished drinking-water samples: U.S. Geological Survey Scientific Investigations Report 2022–5066, 29 p., https://doi.org/10.3133/sir20225066.","productDescription":"Report: viii, 29 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-129231","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":405279,"rank":6,"type":{"id":39,"text":"HTML 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2022–5066"},{"id":404926,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5066/coverthb.jpg"}],"country":"United 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\"}}]}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
2280 Woodale Drive
Mounds View, MN 55112
Removal sampling data are the primary source of monitoring information for many populations (e.g., invasive species, fisheries). Population dynamics, temporary emigration, and imperfect detection are common sources of variation in monitoring data and are key parameters for informing management. We developed two open robust-design removal models for simultaneously modeling population dynamics, temporary emigration, and imperfect detection: a random walk linear trend model (estimable without ancillary information), and a 2-age class informed population model (InfoPM, closely related to integrated population models) that incorporated prior information for age-structured vital rates and relative juvenile availability. We applied both models to multiyear, removal trapping time-series of a large invasive lizard (Argentine black and white tegu, Salvator merianae) in three management areas of South Florida to evaluate the effectiveness of management programs. Although estimates of the two models were similar, the InfoPMs generally returned more precise estimates, partitioned dynamics into births, deaths, net migration, and provided a decision support tool to predict population dynamics under different effort scenarios while accounting for uncertainty. Trends in tegu superpopulation abundance estimates were increasing in two management areas despite generally high removal rates. However, tegu abundance appeared to decline in the Core management area, where trapping density was the highest and immigration the lowest. Finally, comparing abundance predictions of no-removal scenarios to those estimated in each management area suggested significant population reductions due to management. These results suggest that local tegu population control via systematic trapping may be feasible with high enough trap density and limited immigration; and highlights the value of these trapping programs. We provided the first estimates of tegu abundance, capture probabilities, and population dynamics, which is critical for effective management. Furthermore, our models are applicable to a wide range of monitoring programs (e.g., carcass recovery or removal point-counts).
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9173","usgsCitation":"Udell, B., Martin, J., Romagosa, C., Waddle, J.H., Johnson, F., Falk, B., Yackel Adams, A.A., Funck, S., Ketterlin Eckles, J., Suarez, E., and Mazzotti, F., 2022, Open removal models with temporary emigration and population dynamics to inform invasive animal management: Ecology and Evolution, v. 12, no. 8, e9173; 19 p.; Data Release, https://doi.org/10.1002/ece3.9173.","productDescription":"e9173; 19 p.; Data Release","ipdsId":"IP-123086","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446750,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9173","text":"Publisher Index Page"},{"id":405442,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417829,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NXHC0V"}],"volume":"12","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Udell, Bradley","contributorId":216709,"corporation":false,"usgs":false,"family":"Udell","given":"Bradley","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":849363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":849364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romagosa, Christina","contributorId":178167,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","affiliations":[],"preferred":false,"id":849365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":849366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Fred","contributorId":295463,"corporation":false,"usgs":false,"family":"Johnson","given":"Fred","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":849367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":849369,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Funck, Sarah","contributorId":295401,"corporation":false,"usgs":false,"family":"Funck","given":"Sarah","email":"","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":849370,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ketterlin Eckles, Jennifer","contributorId":152302,"corporation":false,"usgs":false,"family":"Ketterlin Eckles","given":"Jennifer","email":"","affiliations":[{"id":18903,"text":"Florida FWC","active":true,"usgs":false}],"preferred":false,"id":849371,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Suarez, Eric","contributorId":295404,"corporation":false,"usgs":false,"family":"Suarez","given":"Eric","email":"","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":849372,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mazzotti, Frank","contributorId":138878,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":849373,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70237001,"text":"70237001 - 2022 - Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","interactions":[],"lastModifiedDate":"2022-10-31T14:36:57.187225","indexId":"70237001","displayToPublicDate":"2022-08-17T10:54:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","title":"Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador","docAbstract":"We examined how dietary factors recorded by C and N influence Hg uptake in 347 individuals of yellowfin tuna (Thunnus albacares), an important subsistence resource from the Galápagos Marine Reserve (GMR) and the Ecuadorian mainland coast (EMC) in 2015-2016. We found no differences in total Hg (THg) measured in red muscle between the two regions and no seasonal differences, likely due to the age of the fish and slow elimination rates of Hg. Our THg concentrations are comparable to other studies in the Pacific (0.06–2.88 mg/kg wet weight), but a subset of individuals exhibited the highest mercury concentrations yet reported in yellowfin tuna. Mercury isotope values differed between Δ199Hg and δ202Hg in both regions (Δ199Hg = 2.86±0.04‰ vs. Δ199Hg = 2.33 ± 0.07‰), likely related to shifting food webs and differing photochemical processing of Hg prior to entry into the food web. There were significantly lower values of both δ15N and δ13C in tuna from GMR (δ15N: 8.5–14.2‰, δ13C: -18.5–-16.1‰) compared to those from the EMC (δ15N: 8.3–14.4‰, δ13C: -19.4–-11.9‰), of which δ13C values suggest spatially-constrained movements of tunas. Results from the pooled analysis, without considering region, indicated that variations in δ13C and δ15N values tracked changes of Hg stable isotopes. Our data indicate that the individual tuna from this study were resident fish of each region and heavily influenced by upwellings related to the Eastern Pacific Oxygen Minimum Zone and the Humboldt Current System. C, N, and Hg isotopes reflect foraging behavior mainly on epipelagic prey in shallow waters and that food web shifts drive Hg variations between these populations of tuna.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5458","usgsCitation":"Munoz-Abril, L., Valle, C.A., Alava, J.J., Janssen, S., Sunderland, E.M., Rubianes-Landazuri, F., and Emslie, S.D., 2022, Elevated mercury concentrations and isotope signatures (N, C, Hg) in yellowfin tuna (Thunnus albacares) from the Galápagos Marine Reserve and waters off Ecuador: Environmental Toxicology and Chemistry, v. 41, no. 11, p. 2732-2744, https://doi.org/10.1002/etc.5458.","productDescription":"13 p.","startPage":"2732","endPage":"2744","ipdsId":"IP-142672","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":407411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Galápagos Marine Reserve, Pacific Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92,\n -2.4821334037305633\n ],\n [\n -89,\n -2.4821334037305633\n ],\n [\n -89,\n 2.1308562777325313\n ],\n [\n -92,\n 2.1308562777325313\n ],\n [\n -92,\n -2.4821334037305633\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.3642578125,\n -4\n ],\n [\n -80,\n -4\n ],\n [\n -80,\n 1\n ],\n [\n -83.3642578125,\n 1\n ],\n [\n -83.3642578125,\n -4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Munoz-Abril, Laia","contributorId":296972,"corporation":false,"usgs":false,"family":"Munoz-Abril","given":"Laia","email":"","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valle, Carlos A","contributorId":296973,"corporation":false,"usgs":false,"family":"Valle","given":"Carlos","email":"","middleInitial":"A","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alava, Juan Jose","contributorId":296974,"corporation":false,"usgs":false,"family":"Alava","given":"Juan","email":"","middleInitial":"Jose","affiliations":[{"id":64261,"text":"Institute for the Oceans and Fisheries, University of British Columbia, 2202 Main Mall, Vancouver, BC V6T 1Z4, Canada","active":true,"usgs":false}],"preferred":false,"id":853020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sunderland, Elsie M.","contributorId":151016,"corporation":false,"usgs":false,"family":"Sunderland","given":"Elsie","email":"","middleInitial":"M.","affiliations":[{"id":18166,"text":"Harvard University, Cambridge, M","active":true,"usgs":false}],"preferred":false,"id":853022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubianes-Landazuri, Francisco","contributorId":296975,"corporation":false,"usgs":false,"family":"Rubianes-Landazuri","given":"Francisco","email":"","affiliations":[{"id":64260,"text":"Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, Quito, Ecuador.","active":true,"usgs":false}],"preferred":false,"id":853023,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Emslie, Steven D","contributorId":296976,"corporation":false,"usgs":false,"family":"Emslie","given":"Steven","email":"","middleInitial":"D","affiliations":[{"id":64262,"text":"Department of Biology and Marine Biology, University of North Carolina, 601 S. College Rd., Wilmington, NC 28403, United States.","active":true,"usgs":false}],"preferred":false,"id":853024,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70235897,"text":"70235897 - 2022 - Genomics-informed delineation of conservation units in a desert amphibian","interactions":[],"lastModifiedDate":"2022-10-17T15:59:23.430324","indexId":"70235897","displayToPublicDate":"2022-08-17T10:07:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genomics-informed delineation of conservation units in a desert amphibian","docAbstract":"Delineating conservation units (CUs, e.g., evolutionarily significant units, ESUs, and management units, MUs) is critical to the recovery of declining species because CUs inform both listing status and management actions. Genomic data have strengths and limitations in informing CU delineation and related management questions in natural systems. We illustrate the value of using genomic data in combination with landscape, dispersal, and occupancy data, to inform CU delineation in Nevada populations of the Great Basin Distinct Population Segment of the Columbia spotted frog (Rana luteiventris). R. luteiventris occupies naturally fragmented aquatic habitats in this xeric region, but beaver removal, climate change, and other factors have put many of these populations at high risk of extirpation without management intervention. We addressed three objectives: (1) assessing support for ESUs within Nevada; (2) evaluating and revising, if warranted, the current delineation of MUs; and (3) evaluating genetic diversity, effective population size, adaptive differentiation, and functional connectivity to inform ongoing management actions. We found little support for ESUs within Nevada but did identify potential revisions to MUs based on unique landscape drivers of connectivity that distinguish these desert populations from those in the northern portion of the species range. Effective sizes were uniformly small, with low genetic diversity and weak signatures of adaptive differentiation. Our findings suggest that management actions, including translocations and genetic rescue, might be warranted. Our study illustrates how a carefully planned genetic study, designed to address priority management goals that include CU delineation, can provide multiple insights to inform conservation action.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16660","usgsCitation":"Forester, B.R., Murphy, M., Mellison, C., Petersen, J., Pilliod, D., Van Horne, R., Harvey, J., and Funk, W.C., 2022, Genomics-informed delineation of conservation units in a desert amphibian: Molecular Ecology, v. 31, no. 20, p. 5249-5269, https://doi.org/10.1111/mec.16660.","productDescription":"21 p.","startPage":"5249","endPage":"5269","ipdsId":"IP-133553","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446752,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.16660","text":"Publisher Index Page"},{"id":405579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"20","noUsgsAuthors":false,"publicationDate":"2022-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":849678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Melanie","contributorId":88239,"corporation":false,"usgs":true,"family":"Murphy","given":"Melanie","affiliations":[],"preferred":false,"id":849679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mellison, Chad","contributorId":28873,"corporation":false,"usgs":true,"family":"Mellison","given":"Chad","affiliations":[],"preferred":false,"id":849680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petersen, Jeffrey","contributorId":295567,"corporation":false,"usgs":false,"family":"Petersen","given":"Jeffrey","email":"","affiliations":[],"preferred":false,"id":849681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":849633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Horne, Rachel","contributorId":216072,"corporation":false,"usgs":false,"family":"Van Horne","given":"Rachel","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":849682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harvey, Jim","contributorId":203502,"corporation":false,"usgs":false,"family":"Harvey","given":"Jim","email":"","affiliations":[],"preferred":false,"id":849683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":97589,"corporation":false,"usgs":false,"family":"Funk","given":"W.","email":"","middleInitial":"Chris","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":849684,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255119,"text":"70255119 - 2022 - Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements","interactions":[],"lastModifiedDate":"2024-06-12T15:02:48.224979","indexId":"70255119","displayToPublicDate":"2022-08-17T10:00:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17816,"text":"Applied Acoustics","active":true,"publicationSubtype":{"id":10}},"title":"Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements","docAbstract":"Acoustic measurements of suspended sediment have the potential to allow remote, autonomous monitoring of sediment movements at much higher temporal resolution than traditional manual sampling methods. Although suspended sands present a challenging measurement problem due to their logarithmic distribution with depth, fine clay sediments are distributed evenly throughout a stream cross section, making them amenable to point measurements. In order to improve measurement capabilities for fine sediments in stream channels, The National Center for Physical Acoustics at The University of Mississippi has developed a remote, autonomous acoustic system to monitor fine sediments transported in streams. The system was tested on the Middle Rio Grande near San Acacia, New Mexico, and in Goodwin Creek in Panola County, Mississippi. The acoustic instruments were compared to sediment concentrations from physical samples in both deployments. Diurnal patterns were found in the acoustic signals from the Middle Rio Grande, and a follow up experiment at The University of Mississippi Biological Field Station was used to investigate the potential effects of algal biomass on acoustic attenuation measurements. The results showed diurnal patterns in attenuation were associated with patterns in light, temperature, and dissolved oxygen. These results combined with information from the literature indicate diel movement of algal colonies in the water column of some water bodies may interfere with high-frequency acoustic measurements in natural environments and that acoustic methods have the potential to allow ecological researchers to evaluate mass algal movements in the field. Results from Goodwin Creek demonstrate that the acoustic system is able to provide measurements of sediment concentration with high temporal resolution that track well with expected sediment transport patterns in response to discharge hydrographs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apacoust.2022.108980","usgsCitation":"Carpenter, W.O., Goodwiller, B.T., Wren, D.G., Taylor, J.J., AuBuchon, J., and Brown, J., 2022, Field testing a high-frequency acoustic attenuation system for measuring fine suspended sediments and algal movements: Applied Acoustics, v. 198, 108980, https://doi.org/10.1016/j.apacoust.2022.108980.","productDescription":"108980","ipdsId":"IP-141566","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":446755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apacoust.2022.108980","text":"Publisher Index Page"},{"id":430013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"198","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Carpenter, Wayne O.","contributorId":338687,"corporation":false,"usgs":false,"family":"Carpenter","given":"Wayne","email":"","middleInitial":"O.","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":903457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodwiller, Bradley T.","contributorId":338690,"corporation":false,"usgs":false,"family":"Goodwiller","given":"Bradley","email":"","middleInitial":"T.","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":903458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wren, Daniel G.","contributorId":338693,"corporation":false,"usgs":false,"family":"Wren","given":"Daniel","email":"","middleInitial":"G.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":903459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jason J.","contributorId":202410,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":903460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"AuBuchon, Jonathan","contributorId":256772,"corporation":false,"usgs":false,"family":"AuBuchon","given":"Jonathan","email":"","affiliations":[{"id":51859,"text":"Albuquerque District, United States Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":903461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":903462,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70236648,"text":"70236648 - 2022 - Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds","interactions":[],"lastModifiedDate":"2023-01-19T19:24:00.787879","indexId":"70236648","displayToPublicDate":"2022-08-17T09:52:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds","docAbstract":"Roadway deicing agents, including rock salt and brine containing NaCl, have had a profound impact on the water quality and aquatic health of rivers and streams in urbanized areas with temperate climates. Yet, few studies evaluate impacts to watersheds characterized by relatively low impervious surface cover (ISC; < 15 %). Here, we use long-term (1997-2019), monthly streamwater quality data combined with daily streamflow for six exurban and suburban watersheds in southeastern Pennsylvania to examine the relations among chloride (Cl−) concentrations and ISC. Both flow-normalized Cl− concentrations and ISC increased over time in each of the six watersheds, consistent with changes in watershed management (e.g., ISC, road salt application, etc.). The watersheds that experienced the greatest changes in percent ISC (e.g., agriculture replaced by residential and commercial development) experienced the greatest changes in flow-normalized Cl− concentrations. We also utilized a comprehensive mass-balance model (2011–2018) that indicated Cl− inputs exceeded the outputs for the study watersheds. Road salt applied to state roads, non-state roads, and other impervious surfaces accounted for the majority of Cl− inputs to the six watersheds. Furthermore, increasing Cl− concentrations during baseflow conditions confirm impacts to shallow groundwater. Although flow-normalized Cl− concentrations are below the U.S. Environmental Protection Agency's chronic threshold value for impacts to aquatic organisms, year-round exceedances may result before the end of this century based on current trends. Though reduced Cl− loading to streams may be achieved by limiting the expansion of impervious surfaces in exurban and suburban watersheds, changes in baseflow concentrations are likely to be gradual because of the accumulated Cl− in groundwater.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.157933","usgsCitation":"Rossi, M., Kremer, P., Cravotta, C., Scheirer, K.E., and Goldsmith, S.T., 2022, Long-term impacts of impervious surface cover change and roadway deicing agent application on chloride concentrations in exurban and suburban watersheds: Science of the Total Environment, v. 851, no. Part 2, 157933, 13 p., https://doi.org/10.1016/j.scitotenv.2022.157933.","productDescription":"157933, 13 p.","ipdsId":"IP-139821","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":446757,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.157933","text":"Publisher Index Page"},{"id":406679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Berks County, Bucks County, Chester County, Delaware County, Lehigh County, Montgomery County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.6,\n 39.812755695478124\n ],\n [\n -74.9542236328125,\n 39.812755695478124\n ],\n [\n -74.9542236328125,\n 40.2\n ],\n [\n -75.6,\n 40.2\n ],\n [\n -75.6,\n 39.812755695478124\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"851","issue":"Part 2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rossi, Marissa L. 0000-0003-2341-0312","orcid":"https://orcid.org/0000-0003-2341-0312","contributorId":296518,"corporation":false,"usgs":false,"family":"Rossi","given":"Marissa L.","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":851695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kremer, Peleg","contributorId":296521,"corporation":false,"usgs":false,"family":"Kremer","given":"Peleg","email":"","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":851696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":851697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scheirer, Krista E.","contributorId":296524,"corporation":false,"usgs":false,"family":"Scheirer","given":"Krista","email":"","middleInitial":"E.","affiliations":[{"id":64093,"text":"Aqua Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":851698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":851699,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240257,"text":"70240257 - 2022 - Seismometer records of ground tilt induced by debris flows","interactions":[],"lastModifiedDate":"2023-02-02T15:41:51.102633","indexId":"70240257","displayToPublicDate":"2022-08-17T09:21:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Seismometer records of ground tilt induced by debris flows","docAbstract":"A change in surface loading causes the Earth’s surface to deform. Mass movements, such as debris flows, can cause a tilt large enough to be recorded by nearby instruments, but the signal is strongly dependent on the mass loading and subsurface parameters. Specifically designed sensors for such measurements (tiltmeters) are cumbersome to install. Alternatively, broadband seismometers record translational motion and also tilt signals, often at periods of tens to hundreds of seconds. Their horizontal components are thereby the most sensitive to tilt. In this study, we show how to obtain tilt caused by the passing by of debris flows from seismic measurements recorded within tens of meters of the flow and investigate the usefulness of this signal for flow characterization. We investigate the problem on three scales (1) large‐scale laboratory experiments at the U.S. Geological Survey debris‐flow flume, where broadband seismometers and tiltmeters were installed for six
The interaction of aseismic and seismic slip before and after an earthquake is fundamental for both earthquake nucleation and postseismic stress relaxation. However, it can be difficult to determine where and when aseismic slip occurs within the seismogenic zone because geodetic techniques are limited to detecting moderate to large slip amplitudes or long duration small slip amplitudes. Here, we use repeating earthquakes (earthquakes that re-rupture the same fault patch) as a proxy for aseismic slip during the 2011 Prague, Oklahoma earthquake sequence. We find that aseismic slip in the Prague earthquake sequence occurs both within the granitic basement and the overlying sedimentary rocks. The repeating earthquakes show that patches of aseismic slip are mostly located at fault intersections. These fault intersections hosted possible mainshock slip, abundant aftershocks, and afterslip. We estimate that ∼40% of the aftershocks are driven by afterslip. We interpret that aseismic slip occurs at fault intersections where stress heterogeneity creates patches of lower stress that are stable within a nonsteady state, rate-state framework.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024431","usgsCitation":"Okamoto, K., Savage, H., Cochran, E.S., and Keranen, K.M., 2022, Stress heterogeneity as a driver of aseismic slip during the 2011 Prague, Oklahoma aftershock sequence: Journal of Geophysical Research Solid Earth, v. 127, no. 8, e2022JB024431, 15 p., https://doi.org/10.1029/2022JB024431.","productDescription":"e2022JB024431, 15 p.","ipdsId":"IP-138835","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":446761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jb024431","text":"Publisher Index Page"},{"id":406831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","city":"Prague","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.7,\n 35.44\n ],\n [\n -96.9,\n 35.44\n ],\n [\n -96.9,\n 35.59\n ],\n [\n -96.7,\n 35.59\n ],\n [\n -96.7,\n 35.44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"127","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Okamoto, Kristina","contributorId":296586,"corporation":false,"usgs":false,"family":"Okamoto","given":"Kristina","email":"","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":851914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savage, Heather","contributorId":296588,"corporation":false,"usgs":false,"family":"Savage","given":"Heather","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":851915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":851916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keranen, Katie M.","contributorId":197630,"corporation":false,"usgs":false,"family":"Keranen","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851917,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238479,"text":"70238479 - 2022 - Bet-hedging and best-bet strategies shape seed dormancy","interactions":[],"lastModifiedDate":"2022-11-28T12:43:22.457856","indexId":"70238479","displayToPublicDate":"2022-08-17T06:41:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Bet-hedging and best-bet strategies shape seed dormancy","docAbstract":"Seed dormancy (i.e. delayed germination even when conditions are favourable) is a key plant characteristic that occurs among many species worldwide. But, what selective pressures led to seed dormancy? A recent study provides a major analysis of the factors driving this trait at the global scale (Zhang et al., 2022). Using c. 12 000 species and 10 million records across the globe, they conclude that dormancy is a strategy for plants living under ‘seasonal/unpredictable’ environments; and suggest that bet-hedging could be the major mechanism behind the pattern. To reach their conclusions the authors relate the proportion of species with dormant seeds in a grid-cell global map against climate variables related to annual precipitation, temperature and seasonality. Then they showed that the most significant variables were those related to climate seasonality that they equate with unpredictable climates (although seasonal climates usually are highly predictable in their seasonal cycles).
","language":"English","publisher":"Wiley","doi":"10.1111/nph.18436","usgsCitation":"Pausas, J.G., Lamont, B.B., Keeley, J., and Bond, W.J., 2022, Bet-hedging and best-bet strategies shape seed dormancy: New Phytologist, v. 236, no. 4, p. 1232-1236, https://doi.org/10.1111/nph.18436.","productDescription":"5 p.","startPage":"1232","endPage":"1236","ipdsId":"IP-140651","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446766,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/nph.18436","text":"External Repository"},{"id":409667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"236","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":197439,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":857584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Byron B","contributorId":299345,"corporation":false,"usgs":false,"family":"Lamont","given":"Byron","email":"","middleInitial":"B","affiliations":[{"id":64817,"text":"Ecology Section, School of Life and Molecular Sciences, Curtin University, Perth, WA, 6845 Australia","active":true,"usgs":false}],"preferred":false,"id":857585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857586,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bond, William J.","contributorId":81621,"corporation":false,"usgs":false,"family":"Bond","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":857587,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70235725,"text":"sim3493 - 2022 - Colored shaded-relief bathymetric map and surrounding aerial imagery of Whiskeytown Lake, California","interactions":[],"lastModifiedDate":"2026-04-01T15:26:29.678467","indexId":"sim3493","displayToPublicDate":"2022-08-16T12:19:22","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3493","displayTitle":"Colored Shaded-Relief Bathymetric Map and Surrounding Aerial Imagery of Whiskeytown Lake, California","title":"Colored shaded-relief bathymetric map and surrounding aerial imagery of Whiskeytown Lake, California","docAbstract":"The Carr wildfire began on July 23, 2018, and burned almost 300,000 acres (approximately half on Federal lands) in northern California during the subsequent 6-week period. Over 97 percent of the area within Whiskeytown National Recreation Area, California, burned during the 2018 Carr wildfire, including the entire landscape that surrounds and drains into Whiskeytown Lake. Shortly after the Carr wildfire ended, the U.S. Geological Survey began investigations into the landscape responses, such as changes in erosion and sediment deposition, that occurred after the fire. This study focused on the collection and processing of bathymetric data and onshore aerial imagery in and around Whiskeytown Lake, California, to support wildfire science after the fire.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3493","usgsCitation":"Dartnell, P., Logan, J.B., and East, A.E., 2022, Colored shaded-relief bathymetric map and surrounding aerial imagery of Whiskeytown Lake, California: U.S. Geological Survey Scientific Investigations Map 3493, scale 1:8,900, https://doi.org/10.3133/sim3493.","productDescription":"1 Sheet: 35.00 x 35.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-132510","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":501934,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113395.htm","linkFileType":{"id":5,"text":"html"}},{"id":405195,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HEDYNT","text":"Bathymetry, topography and orthomosaic imagery for Whiskeytown Lake, northern California (ver. 2.0, July 2021)","description":"Logan, J.B., Dartnell, P., East, A.E., and Ritchie, A.C., 2020, Bathymetry, topography and orthomosaic imagery for Whiskeytown Lake, northern California (ver. 2.0, July 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9HEDYNT."},{"id":405194,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3493/sim3493.pdf","size":"25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3493"},{"id":405193,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3493/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whiskeytown Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.63214111328125,\n 40.59257812608644\n ],\n [\n -122.51609802246092,\n 40.59257812608644\n ],\n [\n -122.51609802246092,\n 40.660066379630365\n ],\n [\n -122.63214111328125,\n 40.660066379630365\n ],\n [\n -122.63214111328125,\n 40.59257812608644\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Wetland ecosystems are diverse, productive habitats that are essential reservoirs of biodiversity. Not only are they home to numerous wetland-specialist species, but they also provide food, water, and shelter that support terrestrial wildlife populations. However, like observed patterns of biodiversity loss, wetland habitats have experienced widespread loss and degradation. In order to conserve and restore wetlands, and thereby the biodiversity they support, it is important to understand how biodiversity in wetland habitats is maintained. Habitat heterogeneity and connectivity are thought to be predominate drivers of wetland biodiversity. We quantified temporal coherence (i.e., spatial synchrony) of wetland invertebrate communities using intra-class correlations among 16 wetlands sampled continuously over 24 years to better understand the relative influences wetland heterogeneity (i.e., internal processes specific to individual wetlands and spatial connectivity and external processes occurring on the landscape) on wetland biodiversity. We found that while wetlands with different ponded-water regimes (temporarily ponded or permanently ponded) often hosted different invertebrate communities, temporal shifts in invertebrate composition were synchronous. We also found the relative importance of internal versus external forces in determining community assembly vary depending on a wetland’s hydrologic function and climate influences. Our results confirm that heterogeneity and spatial connectivity of wetland landscapes are important drivers of wetland biodiversity.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2022.897872","usgsCitation":"McLean, K., Mushet, D., and Sweetman, J.N., 2022, Temporal coherence patterns of prairie pothole wetlands indicate the importance of landscape linkages and wetland heterogeneity in maintaining biodiversity: Frontiers in Ecology and Evolution, v. 10, 897872, 16 p., https://doi.org/10.3389/fevo.2022.897872.","productDescription":"897872, 16 p.","ipdsId":"IP-123627","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":446769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.897872","text":"Publisher Index Page"},{"id":408491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","county":"Stutsman County","otherGeospatial":"Cottonwood Lake Study Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.1056,\n 47.0944\n ],\n [\n -99.088889,\n 47.0944\n ],\n [\n -99.088889,\n 47.1027\n ],\n [\n -99.1056,\n 47.1027\n ],\n [\n -99.1056,\n 47.0944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2022-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McLean, Kyle 0000-0003-3803-0136 kmclean@usgs.gov","orcid":"https://orcid.org/0000-0003-3803-0136","contributorId":168533,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"kmclean@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":854923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":248468,"corporation":false,"usgs":true,"family":"Mushet","given":"David M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":854924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetman, Jon N. 0000-0002-9849-7355","orcid":"https://orcid.org/0000-0002-9849-7355","contributorId":221489,"corporation":false,"usgs":false,"family":"Sweetman","given":"Jon","email":"","middleInitial":"N.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":854925,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247760,"text":"70247760 - 2022 - FY22 Technical Report: Evaluation of fish passage for assessment of invasive carp deterrents at locks in the upper Mississippi River","interactions":[],"lastModifiedDate":"2023-08-16T12:23:16.574239","indexId":"70247760","displayToPublicDate":"2022-08-16T07:22:33","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"FY22 Technical Report: Evaluation of fish passage for assessment of invasive carp deterrents at locks in the upper Mississippi River","docAbstract":"FY22 Technical Report for the project, \"Evaluation of fish passage for assessment of invasive carp deterrents at locks in the Upper Mississippi River.\" This document describes specific methods, highlights, and results that show how progress towards meeting objectives in a timely manner.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Annual Techical Report for the management and control of invasive carp, Mississippi River","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Upper Mississippi River Invasive Carp Partnership","collaboration":"Invasive Carp Regional Coordinating Committee (ICRCC); U.S. Army Corps of Engineers (USACE); U.S. Fish and Wildlife Service (USFWS); Illinois Natural History Survey (INHS); Iowa Department of Natural Resources (IA DNR); Missouri Department of Conservation (MO DNR); Illinois Department of Natural resources (IL DNR)","usgsCitation":"Fritts, A.K., Abner, J., Fritts, M.W., Lamer, J.T., and Cornish, M., 2022, FY22 Technical Report: Evaluation of fish passage for assessment of invasive carp deterrents at locks in the upper Mississippi River, 7 p.","productDescription":"7 p.","ipdsId":"IP-150717","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":419883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419864,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://micrarivers.org/wp-content/uploads/2023/06/2022-Deterrent-Technical-Report-USGS.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abner, Joshua","contributorId":291645,"corporation":false,"usgs":false,"family":"Abner","given":"Joshua","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":880301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritts, Mark W.","contributorId":139239,"corporation":false,"usgs":false,"family":"Fritts","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":880302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":880303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cornish, Mark","contributorId":203379,"corporation":false,"usgs":false,"family":"Cornish","given":"Mark","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":880304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70235698,"text":"sim3489 - 2022 - Geologic map of MTM −10022 and −15022 quadrangles, Morava Valles and Margaritifer basin, Mars","interactions":[],"lastModifiedDate":"2023-03-20T18:16:53.878209","indexId":"sim3489","displayToPublicDate":"2022-08-15T12:33:16","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3489","displayTitle":"Geologic Map of MTM −10022 and −15022 Quadrangles, Morava Valles and Margaritifer Basin, Mars","title":"Geologic map of MTM −10022 and −15022 quadrangles, Morava Valles and Margaritifer basin, Mars","docAbstract":"The landscape in Mars Transverse Mercator (MTM) −10022 and −15022 quadrangles (lat −7.5° N. to −17.5° N. between long 335° E. and 340° E.) in Margaritifer Terra preserves a record of sedimentary and alluvial deposits, volcanic and tectonic structures, and erosional landforms that record a long and complex geologic and geomorphic history. MTM −10022 and −15022 quadrangles primarily encompass Morava Valles, the terminus of the Samara-Himera and Paraná-Loire valley networks, the broad catchment informally named Margaritifer basin, and Margaritifer Chaos. Morava Valles is the lowermost reach of the northward draining mesoscale outflow system that consists of Uzboi Vallis, Ladon Valles, and Morava Valles, was sourced from flow out of Argyre basin, and incises across and between the ancient Ladon and Holden impact basins. The broad-scale topography and surface relief within the map, including the topographic low occupied by Margaritifer basin, were largely shaped during the Noachian by the formation of the Holden, Ladon, and Ares impact basins and the Chryse trough. Multiple processes modified the ancient surface until the Late Noachian and resulted in the formation of the terra unit that forms the widely exposed surface. Later resurfacing associated with likely sedimentary and volcanic processes modified predominantly lower elevation surfaces and basins during the Late Noachian into at least the Hesperian. Sedimentary processes during the Late Noachian were dominated by fluvial incision of the Samara-Himera and Paraná-Loire valley networks and discharge related to the dissection of Morava Valles that drained Ladon basin. The history of geomorphic activity within Margaritifer basin was more complex and was likely dominated by the evolution of Morava Valles relative to the formation of the valley networks. The floor of Margaritifer basin preserves likely lacustrine plains related to sedimentation in water ponded during early discharge from Morava Valles, which were later embayed by volcanic plains. Crater densities and cross-cutting relations indicate Margaritifer basin evolved over a relatively short period of geologic time. The timing of the last drainage out of Morava Valles is not well constrained but could have occurred during the Hesperian. Structural collapse and the formation of the Margaritifer Chaos and other chaotic terrain formed by the release of subsurface water that may have been related to volcanic activity along the southern margin of Margaritifer basin. Final geomorphic events within the map region include the formation of Late Hesperian to perhaps Amazonian alluvial fans within some craters and isolated mass wasting on steep slopes. A final, variable veneer associated with locally occurring impacts and redistribution of fine-grained material by eolian processes resulted in the landscape observed today.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3489","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Wilson, S.A., Grant, J.A., and Williams, K.K., 2022, Geologic map of MTM −10022 and −15022 quadrangles, Morava Valles and Margaritifer basin, Mars: U.S. Geological Survey Scientific Investigations Map 3489, pamphlet 11 p., 1 sheet, scale 1:500,000, https://doi.org/10.3133/sim3489.","productDescription":"Report: iv, 11 p.; 1 Sheet: 45.73 x 54.01 inches; 2 Databases; Metadata; Read Me","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-118399","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":435729,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JJZDWR","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3489 Geologic Map of MTM −10022 and −15022 Quadrangles, Morava Valles and Margaritifer Basin, Mars"},{"id":405424,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9JJZDWR","text":"Interactive map","linkHelpText":"- Geologic Map of MTM −10022 and −15022 Quadrangles, Morava Valles and Margaritifer Basin, Mars"},{"id":405141,"rank":7,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_supdata.zip","text":"Supplemental Data","size":"500 MB","linkFileType":{"id":6,"text":"zip"}},{"id":405140,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_sheet.pdf","text":"Map sheet","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geologic Map of MTM −10022 and −15022 Quadrangles, Morava Valles and Margaritifer Basin, Mars"},{"id":405138,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_metadata.xml","size":"7 KB","linkFileType":{"id":8,"text":"xml"}},{"id":405137,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_pamphlet.pdf","text":"Pamphlet","size":"700 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":405136,"rank":2,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_gis.zip","text":"GIS Files","size":"55 MB","linkFileType":{"id":6,"text":"zip"}},{"id":405135,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3489/covrthb.jpg"},{"id":405139,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3489/sim3489_readme.txt","size":"5 KB","linkFileType":{"id":2,"text":"txt"}}],"otherGeospatial":"Margaritifer basin, Mars, Morava Valles basin","contact":"Contact Astrogeology Research Program staff
Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
Birds that have adapted to urban landscapes often display changes in their behavioral responses to human disturbance. This habituation may result in a decreased wariness and secrecy near their nest and an increased inclination to engage in aggressive nest defenses. Aggressive defense of nests has been noted among Mississippi Kites (Ictinia mississippiensis), a raptor that has become a common and abundant urban nesting species across the Southern Great Plains. Defensive behaviors include swoops at, and occasional physical contact with, humans who venture close to nests. Previous research found aggressive responses by kites in 16–20% of experimental passes under nests. However, the type of human pedestrian activity around nests may influence the occurrence of aggressive responses. We assessed adult Mississippi Kite responses to experimental nest area intrusions during each week of the first four weeks of nestling development to explore increases or attenuation of aggressive behaviors. We also assessed responses in context of three types of pedestrian passes to nests. We conducted 84 trials consisting of 252 passes and found 90% elicited no response from the attending kite, 8% elicited a flight response, and 2% elicited an attack. There was no difference in response to pass type, but we found evidence that responsiveness may be associated with nestling age. Our results suggest aggression by Mississippi Kites is uncommon, but infrequent events that gain local attention may increase the perceived risk from the species due to the availability heuristic. Additionally, individual nesting pairs may tend toward aggression and become persistent nuisance birds that gain attention but are not representative of the majority of nesting pairs.
","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/JRR-21-74","usgsCitation":"Boal, C.W., Bibles, B., Pryor, M.M., and Skipper, B.R., 2022, Mississippi Kite nest defense: Is there an influence of nest phenology or human activity?: Journal of Raptor Research, v. 56, no. 3, p. 356-361, https://doi.org/10.3356/JRR-21-74.","productDescription":"6 p.","startPage":"356","endPage":"361","ipdsId":"IP-135185","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341439,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":908634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pryor, Mikayla M.","contributorId":341570,"corporation":false,"usgs":false,"family":"Pryor","given":"Mikayla","email":"","middleInitial":"M.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":908632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skipper, Ben R.","contributorId":198462,"corporation":false,"usgs":false,"family":"Skipper","given":"Ben","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":908633,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70236669,"text":"70236669 - 2022 - Expression plasticity regulates intraspecific variation in the acclimatization potential of a reef-building coral","interactions":[],"lastModifiedDate":"2022-09-15T14:31:32.383153","indexId":"70236669","displayToPublicDate":"2022-08-15T09:21:01","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Expression plasticity regulates intraspecific variation in the acclimatization potential of a reef-building coral","docAbstract":"Phenotypic plasticity is an important ecological and evolutionary response for organisms experiencing environmental change, but the ubiquity of this capacity within coral species and across symbiont communities is unknown. We exposed ten genotypes of the reef-building coral Montipora capitata with divergent symbiont communities to four thermal pre-exposure profiles and quantified gene expression before stress testing 4 months later. Here we show two pre-exposure profiles significantly enhance thermal tolerance despite broadly different expression patterns and substantial variation in acclimatization potential based on coral genotype. There was no relationship between a genotype’s basal thermal sensitivity and ability to acquire heat tolerance, including in corals harboring naturally tolerant symbionts, which illustrates the potential for additive improvements in coral response to climate change. These results represent durable improvements from short-term stress hardening of reef-building corals and substantial cryptic complexity in the capacity for plasticity.
","language":"English","publisher":"Nature Publications","doi":"10.1038/s41467-022-32452-4","usgsCitation":"Drury, C., Dilworth, J., Majerova, E., Caruso, C., and Greer, J.B., 2022, Expression plasticity regulates intraspecific variation in the acclimatization potential of a reef-building coral: Nature Communications, v. 13, 4790, 9 p., https://doi.org/10.1038/s41467-022-32452-4.","productDescription":"4790, 9 p.","ipdsId":"IP-139687","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":446773,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-32452-4","text":"Publisher Index Page"},{"id":406755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2022-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Drury, Crawford","contributorId":296558,"corporation":false,"usgs":false,"family":"Drury","given":"Crawford","email":"","affiliations":[{"id":64096,"text":"Hawaiʻi Institute of Marine Biology, Kāneʻohe, HI","active":true,"usgs":false}],"preferred":false,"id":851817,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dilworth, Jenna","contributorId":296559,"corporation":false,"usgs":false,"family":"Dilworth","given":"Jenna","email":"","affiliations":[{"id":64096,"text":"Hawaiʻi Institute of Marine Biology, Kāneʻohe, HI","active":true,"usgs":false}],"preferred":false,"id":851818,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Majerova, Eva","contributorId":296560,"corporation":false,"usgs":false,"family":"Majerova","given":"Eva","email":"","affiliations":[{"id":64096,"text":"Hawaiʻi Institute of Marine Biology, Kāneʻohe, HI","active":true,"usgs":false}],"preferred":false,"id":851819,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caruso, Carlo","contributorId":296561,"corporation":false,"usgs":false,"family":"Caruso","given":"Carlo","email":"","affiliations":[{"id":64096,"text":"Hawaiʻi Institute of Marine Biology, Kāneʻohe, HI","active":true,"usgs":false}],"preferred":false,"id":851820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":851821,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70235855,"text":"70235855 - 2022 - Vote-processing rules for combining control recommendations from multiple models","interactions":[],"lastModifiedDate":"2022-08-23T14:17:13.519962","indexId":"70235855","displayToPublicDate":"2022-08-15T09:13:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Vote-processing rules for combining control recommendations from multiple models","docAbstract":"Mathematical modelling is used during disease outbreaks to compare control interventions. Using multiple models, the best method to combine model recommendations is unclear. Existing methods weight model projections, then rank control interventions using the combined projections, presuming model outputs are directly comparable. However, the way each model represents the epidemiological system will vary. We apply electoral vote-processing rules to combine model-generated rankings of interventions. Combining rankings of interventions, instead of combining model projections, avoids assuming that projections are comparable as all comparisons of projections are made within each model. We investigate four rules: First-past-the-post, Alternative Vote (AV), Coombs Method and Borda Count. We investigate rule sensitivity by including models that favour only one action or including those that rank interventions randomly. We investigate two case studies: the 2014 Ebola outbreak in West Africa (37 compartmental models) and a hypothetical foot-and-mouth disease outbreak in UK (four individual-based models). The Coombs Method was least susceptible to adding models that favoured a single action, Borda Count and AV were most susceptible to adding models that ranked interventions randomly. Each rule chose the same intervention as when ranking interventions by mean projections, suggesting that combining rankings provides similar recommendations with fewer assumptions about model comparability.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2021.0314","usgsCitation":"Probert, W.J., Nicol, S., Ferrari, M.J., Li, S., Shea, K., Tildesley, M.J., and Runge, M.C., 2022, Vote-processing rules for combining control recommendations from multiple models: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 380, no. 2233, 20210314, 20 p., https://doi.org/10.1098/rsta.2021.0314.","productDescription":"20210314, 20 p.","ipdsId":"IP-142649","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446776,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2021.0314","text":"Publisher Index Page"},{"id":405458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"380","issue":"2233","noUsgsAuthors":false,"publicationDate":"2022-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Probert, William J.M.","contributorId":295477,"corporation":false,"usgs":false,"family":"Probert","given":"William","email":"","middleInitial":"J.M.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":849532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicol, Sam","contributorId":171610,"corporation":false,"usgs":false,"family":"Nicol","given":"Sam","email":"","affiliations":[{"id":26927,"text":"CSIRO, Australia","active":true,"usgs":false}],"preferred":false,"id":849533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrari, Matthew J. 0000-0001-5251-8168","orcid":"https://orcid.org/0000-0001-5251-8168","contributorId":216186,"corporation":false,"usgs":false,"family":"Ferrari","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":849534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Shou-Li","contributorId":193644,"corporation":false,"usgs":false,"family":"Li","given":"Shou-Li","email":"","affiliations":[],"preferred":false,"id":849535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":849536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tildesley, Michael J.","contributorId":126971,"corporation":false,"usgs":false,"family":"Tildesley","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6620,"text":"University of Nottingham, School of Biology","active":true,"usgs":false}],"preferred":false,"id":849537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":849538,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70254835,"text":"70254835 - 2022 - The abundance and persistence of Caprinae populations","interactions":[],"lastModifiedDate":"2024-06-11T12:17:07.60111","indexId":"70254835","displayToPublicDate":"2022-08-15T07:15:20","publicationYear":"2022","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":"The abundance and persistence of Caprinae populations","docAbstract":"Stable or growing populations may go extinct when their sizes cannot withstand large swings in temporal variation and stochastic forces. Hence, the minimum abundance threshold defining when populations can persist without human intervention forms a key conservation parameter. We identify this threshold for many populations of Caprinae, typically threatened species lacking demographic data. Doing so helps triage conservation and management actions for threatened or harvested populations. Methodologically, we used population projection matrices and simulations, with starting abundance, recruitment, and adult female survival predicting future abundance, growth rate (λ), and population trend. We incorporated mean demographic rates representative of Caprinae populations and corresponding variances from desert bighorn sheep (Ovis canadensis nelsoni), as a proxy for Caprinae sharing similar life histories. We found a population’s minimum abundance resulting in ≤ 0.01 chance of quasi-extinction (QE; population ≤ 5 adult females) in 10 years and ≤ 0.10 QE in 30 years as 50 adult females, or 70 were translocation (removals) pursued. Discovering the threshold required 3 demographic parameters. We show, however, that monitoring populations’ relationships to this threshold requires only abundance and recruitment data. This applied approach avoids the logistical and cost hurdles in measuring female survival, making assays of population persistence more practical.