The Tragedy of the Commons is a well studied problem in the literature of ecology, economics, and environmental policy which illustrates the deleterious consequences of managing common pool resources when individual and social incentives are misaligned. In this work, we apply a simple model of carbon sequestration in a deep saline aquifer by two neighboring geologic CO2 storage (GCS) operators to begin investigating if a Tragedy of the Commons framework applies to GCS. Specifically, we consider the pressure space as a “commons” because the injection by each firm at its own well increases the downhole injection pressure at both wells. We assume that a firm will decrease its injection rate if the downhole pressure at its well exceeds a predefined maximum (i.e., exceeds the “pressure limit”). With this assumption in place, we find that the same injection flowrates are optimal for both wells, regardless of whether they are owned by the same firm or competing firms. This suggests that GCS may not be best represented by a pure Tragedy of the Commons framework under our initial assumptions. However, there could be economic incentives or contractual obligations that may result in either or both GCS operators being unwilling to reduce their injection rates. Thus, we conclude the conference paper with a discussion of future extensions of our approach that may demonstrate closer alignment with the Tragedy of the Commons, including explicit definitions of pore-space rights, firm uncertainty regarding the parameters of the Theis equation, and the potential role of unitization.
","conferenceTitle":"17th Greenhouse Gas Control Technologies Conference (GHGT-17)","conferenceDate":"October 20-24, 2024","conferenceLocation":"Calgary, Alberta, Canada","language":"English","publisher":"Social Sciences Research Network (SSRN)","doi":"10.2139/ssrn.5030762","usgsCitation":"Duggan, J.E., Ogland-Hand, J.D., Anderson, S.T., and Middleton, R.S., 2024, Managing basin-scale carbon sequestration: A tragedy of the commons approach, 17th Greenhouse Gas Control Technologies Conference (GHGT-17), Calgary, Alberta, Canada, October 20-24, 2024, 7 p., https://doi.org/10.2139/ssrn.5030762.","productDescription":"7 p.","ipdsId":"IP-171979","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":494428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2139/ssrn.5030762","text":"Publisher Index Page"},{"id":464691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duggan, Joseph E. Jr.","contributorId":346879,"corporation":false,"usgs":false,"family":"Duggan","given":"Joseph","suffix":"Jr.","email":"","middleInitial":"E.","affiliations":[{"id":83005,"text":"Department of Economics and Finance, University of Dayton","active":true,"usgs":false}],"preferred":false,"id":920092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogland-Hand, Jonathan D.","contributorId":346880,"corporation":false,"usgs":false,"family":"Ogland-Hand","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":83006,"text":"Carbon Solutions, LLC","active":true,"usgs":false}],"preferred":false,"id":920093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":920094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Richard S.","contributorId":297513,"corporation":false,"usgs":false,"family":"Middleton","given":"Richard","email":"","middleInitial":"S.","affiliations":[{"id":64420,"text":"Carbon Solutions LLC","active":true,"usgs":false}],"preferred":false,"id":920095,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261150,"text":"70261150 - 2024 - Hyperspectral remote sensing for terrestrial applications","interactions":[],"lastModifiedDate":"2025-03-12T15:53:12.25566","indexId":"70261150","displayToPublicDate":"2024-11-24T10:47:23","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"10","title":"Hyperspectral remote sensing for terrestrial applications","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Remote sensing handbook, volume III: Agriculture, food security, rangelands, vegetation, phenology, and soils","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","usgsCitation":"Thenkabail, P., Aneece, I.P., Teluguntla, P., Upadhyay, R., Siddiqui, A., Kalambukattu, J., Kumar, S., Gumma, M.K., and Venkateswarlu Dheeravath, 2024, Hyperspectral remote sensing for terrestrial applications, chap. 10 of Remote sensing handbook, volume III: Agriculture, food security, rangelands, vegetation, phenology, and soils, p. 285-358.","productDescription":"74 p.","startPage":"285","endPage":"358","ipdsId":"IP-162742","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":464518,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/edit/10.1201/9781003541165-12/hyperspectral-remote-sensing-terrestrial-applications-prasad-thenkabail-itiya-aneece-pardhasaradhi-teluguntla-richa-upadhyay-asfa-siddiqui-justin-george-kalambukattu-suresh-kumar-murali-krishna-gumma-venkateswarlu-dheeravath?context=ubx&refId=27dbcee6-0765-4977-8b57-2ac24a5713b0"},{"id":483241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":930542,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208265,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Upadhyay, Richa","contributorId":352263,"corporation":false,"usgs":false,"family":"Upadhyay","given":"Richa","affiliations":[],"preferred":false,"id":930538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siddiqui, Asfa","contributorId":352264,"corporation":false,"usgs":false,"family":"Siddiqui","given":"Asfa","affiliations":[],"preferred":false,"id":930539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kalambukattu, Justin George","contributorId":352265,"corporation":false,"usgs":false,"family":"Kalambukattu","given":"Justin George","affiliations":[],"preferred":false,"id":930540,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kumar, Suresh","contributorId":352266,"corporation":false,"usgs":false,"family":"Kumar","given":"Suresh","affiliations":[],"preferred":false,"id":930541,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gumma, Murali Krishna 0000-0002-3760-3935","orcid":"https://orcid.org/0000-0002-3760-3935","contributorId":192327,"corporation":false,"usgs":false,"family":"Gumma","given":"Murali","email":"","middleInitial":"Krishna","affiliations":[],"preferred":false,"id":919445,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Venkateswarlu Dheeravath 0009-0006-7980-4483","orcid":"https://orcid.org/0009-0006-7980-4483","contributorId":346522,"corporation":false,"usgs":false,"family":"Venkateswarlu Dheeravath","affiliations":[{"id":82881,"text":"United Nations World Food Program, Erbil, Iraq","active":true,"usgs":false}],"preferred":false,"id":919446,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70269259,"text":"70269259 - 2024 - The cost of self-defense: Browsing effects in the rare plant species Salix arizonica","interactions":[],"lastModifiedDate":"2025-07-17T14:16:50.658228","indexId":"70269259","displayToPublicDate":"2024-11-24T09:07:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7470,"text":"Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The cost of self-defense: Browsing effects in the rare plant species Salix arizonica","title":"The cost of self-defense: Browsing effects in the rare plant species Salix arizonica","docAbstract":"Coevolution between plants and their animal predators has led to diverse defensive adaptations. Multiple theories of defense propose that there are resource allocation costs associated with producing chemical defenses. One leading hypothesis, optimal defense theory (ODT), suggests that natural selection will result in the allocation of resources to defenses that optimize the cost-to-benefit ratio between defense and other functional processes. The population decline of the rare subalpine wetland species, Arizona willow (Salix arizonica), has been attributed to various biotic and abiotic factors, with browsing from wild and domestic ungulates as a significant concern for at least three decades. In a field experiment using natural populations, we compare the relationship between phytochemical defense and height in Arizona willows with and without long-term protection from browsing via browse exclosures. Consistent with the predictions of ODT, individuals with physical protection from ungulate browsing for multiple years had significantly lower phenolic glycoside (PG) concentrations and increased plant height compared to unprotected individuals. A similar pattern was found across all individuals, whereby total PG concentration and height were negatively correlated. In a short-term experiment in natural populations, changes in levels of defense were not observed when plants received protection for only one growing season. The contrasting pattern of defense plasticity in response to long-term versus short-term physical protection suggests a differential plastic response in this long-lived species. Delayed reduction in PG concentration may serve as a benefit to avoid mismatches between environmental cues and responses. Our research sheds light on the intricate dynamics between plant-defense strategies, environmental pressures, and evolutionary adaptations in shaping plant–browser interactions.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70582","usgsCitation":"Lencioni, S., Massatti, R., Keefover-Ring, K., and Holeski, L.M., 2024, The cost of self-defense: Browsing effects in the rare plant species Salix arizonica: Ecology & Evolution, v. 14, no. 11, e70582, 17 p., https://doi.org/10.1002/ece3.70582.","productDescription":"e70582, 17 p.","ipdsId":"IP-168041","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70582","text":"Publisher Index Page"},{"id":492415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.73290084766971,\n 34.18204394413493\n ],\n [\n -109.73290084766971,\n 33.716377912993124\n ],\n [\n -109.18228285042254,\n 33.716377912993124\n ],\n [\n -109.18228285042254,\n 34.18204394413493\n ],\n [\n -109.73290084766971,\n 34.18204394413493\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.45634406936061,\n 37.110281634744624\n ],\n [\n -106.88897389351914,\n 37.110281634744624\n ],\n [\n -106.88897389351914,\n 35.55797928606451\n ],\n [\n -104.45634406936061,\n 35.55797928606451\n ],\n [\n -104.45634406936061,\n 37.110281634744624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.9299928786093,\n 38.83409219968786\n ],\n [\n -112.34322892723904,\n 38.87293116294293\n ],\n [\n -113.29438431503323,\n 37.68728907833105\n ],\n [\n -112.94883348126503,\n 37.49534118639001\n ],\n [\n -111.75899865159066,\n 38.77579399669651\n ],\n [\n -111.9299928786093,\n 38.83409219968786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lencioni, Shannon J.","contributorId":358232,"corporation":false,"usgs":false,"family":"Lencioni","given":"Shannon J.","affiliations":[{"id":85582,"text":"Department of Biological Sciences and Center for Adaptable Western Landscapes, Northern Arizona University, 617 S. Beaver St. Flagstaff, Arizona 86011","active":true,"usgs":false}],"preferred":false,"id":943310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keefover-Ring, Ken","contributorId":358233,"corporation":false,"usgs":false,"family":"Keefover-Ring","given":"Ken","affiliations":[{"id":85583,"text":"Department of Botany and Geography, University of Wisconsin, Madison, 430 Lincoln Drive, Madison, Wisconsin 53706","active":true,"usgs":false}],"preferred":false,"id":943312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holeski, Liza M.","contributorId":217866,"corporation":false,"usgs":false,"family":"Holeski","given":"Liza","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":943313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262019,"text":"70262019 - 2024 - The effects of spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator","interactions":[],"lastModifiedDate":"2025-01-10T15:38:35.090413","indexId":"70262019","displayToPublicDate":"2024-11-24T08:32:40","publicationYear":"2024","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 spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator","docAbstract":"Identifying how species respond to system drivers such as weather, climate, habitat, and resource availability is critical in understanding population change. In coastal areas, the transfer of nutrients across the marine and terrestrial interface increases complexity. Nesting populations of bald eagles (Haliaeetus leucocephalus) along the Pacific coast of North America, although terrestrial, are largely dependent on marine resources during the breeding season and therefore represent a good focal species for understanding linkages of nutrients between terrestrial and marine systems. Due to their location, coastal eagle populations are susceptible to a variety of climate-induced perturbations, from both land and sea. The northeast Pacific Marine Heatwave (PMH) of 2014-2016 had wide-ranging impacts on the marine ecosystem and provided an opportunity to explore how marine conditions can impact terrestrial wildlife populations. We used a spatially-explicit multi-state occupancy modeling framework to analyze >30yrs of bald eagle nest occupancy data collected in four large national parks along a coastal-interior gradient in Alaska, USA. We assessed occupancy state in relation to weather conditions, salmon abundance, access to alternate prey resources, and the PMH event to help elucidate the factors affecting bald eagle occupancy dynamics over time. We found that occupancy probability was higher in areas where prey resources were concentrated (e.g., near seabird colonies, where bears facilitate access to salmon carcasses). We also found that the probability of reproductive success was higher during warmer, drier springs with higher-than-average salmon abundance. After the onset of the marine heatwave, success declined in the areas most dependent on non-salmon marine resources. These findings confirm the importance of spring weather conditions and access to salmon resources during the critical chick-rearing period, but also reveal that marine heatwaves may have important secondary effects through a reduction in the overall quantity or quality of prey available to bald eagles. Given ongoing warming at high latitudes and the expectation that marine heatwaves will become more common, our findings are useful for understanding ongoing and future changes in the transfer of nutrients from marine to terrestrial ecosystems and how such changes may impact terrestrial species such as bald eagles.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.70078","usgsCitation":"Schmidt, J., Coletti, H.A., Cutting, K., Wilson, T.L., Mangipane, B.A., Schultz, C., and Schertz, D., 2024, The effects of spatio-temporal variation in marine resources on the occupancy dynamics of a terrestrial avian predator: Ecosphere, v. 15, no. 11, e70078, 20 p., https://doi.org/10.1002/ecs2.70078.","productDescription":"e70078, 20 p.","ipdsId":"IP-160904","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70078","text":"Publisher Index Page"},{"id":465985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.87303317749726,\n 58.10488388072105\n ],\n [\n -142.06303742386143,\n 59.18556482485508\n ],\n [\n -141.20302314317152,\n 60.18220860178873\n ],\n [\n -141.93448222543984,\n 61.62146548769948\n ],\n [\n -155.82554040260186,\n 60.581802907191815\n ],\n [\n -156.66072744660838,\n 59.58828360613053\n ],\n [\n -155.87303317749726,\n 58.10488388072105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Joshua H.","contributorId":167772,"corporation":false,"usgs":false,"family":"Schmidt","given":"Joshua H.","affiliations":[{"id":24828,"text":"Central Alaska Network, National Park Service, Fairbanks, Alaska","active":true,"usgs":false}],"preferred":false,"id":922723,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coletti, Heather A.","contributorId":187561,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":922724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cutting, Kyle A.","contributorId":328692,"corporation":false,"usgs":false,"family":"Cutting","given":"Kyle A.","affiliations":[{"id":78459,"text":"U.S. Fish & Wildlife Service, Red Rock Lakes NWR","active":true,"usgs":false}],"preferred":false,"id":922725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangipane, Buck A.","contributorId":288781,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","email":"","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":922727,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schultz, Carlene N.","contributorId":347883,"corporation":false,"usgs":false,"family":"Schultz","given":"Carlene N.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":922728,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schertz, Dylan T.","contributorId":347885,"corporation":false,"usgs":false,"family":"Schertz","given":"Dylan T.","affiliations":[{"id":36976,"text":"U.S. National Park Service","active":true,"usgs":false}],"preferred":false,"id":922729,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265245,"text":"70265245 - 2024 - Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout","interactions":[{"subject":{"id":70255919,"text":"70255919 - 2024 - Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout","indexId":"70255919","publicationYear":"2024","noYear":false,"title":"Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout"},"predicate":"SUPERSEDED_BY","object":{"id":70265245,"text":"70265245 - 2024 - Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout","indexId":"70265245","publicationYear":"2024","noYear":false,"title":"Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout"},"id":1}],"lastModifiedDate":"2025-04-03T22:33:59.447177","indexId":"70265245","displayToPublicDate":"2024-11-23T15:28:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout","docAbstract":"The tire-rubber-derived ozonation product of N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine (6PPD), N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine-quinone (6PPD-Q), was recently discovered to cause acute mortality in coho salmon (Oncorhynchus kisutch). para-Phenylenediamines (PPDs) with variable side chains distinct from 6PPD have been identified as potential replacement antioxidants, but their toxicities remain unclear under environmentally relevant ozone conditions. We herein tested the multiphase gas-surface ozone reactivity of four select PPDs [6PPD, N-isopropyl-N′-phenyl-p-phenylenediamine (IPPD), N,N′-diphenyl-p-phenylenediamine (DPPD), and N-phenyl-N′-cyclohexyl-p-phenylenediamine (CPPD)] and evaluated the toxicity of their reaction mixtures in coho salmon, rainbow trout (Oncorhynchus mykiss), and fathead minnow (Pimephales promelas). 6PPD and IPPD were found to rapidly react with ozone, while no significant multiphase ozone reactivity was observed for DPPD or CPPD. The viability of coho salmon CSE-119 cells was strongly affected by the ozonolysis products of 6PPD but not by those of the other three PPDs. Acute mortality was only observed in juvenile rainbow trout that were exposed to oxidized 6PPD, suggesting a common mechanism of toxic action in the two salmonid fish species. This study reports the structurally selective ozone reactivity of PPDs and the unique toxicity of 6PPD ozonolysis mixtures, which demonstrates that other PPDs are potential alternative antioxidants.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c04817","usgsCitation":"Xie, L., Yu, J., Nair, P., Sun, J., Barrett, H., Meek, O., Qian, X., Yang, D., Kennedy, L.V., Kozakiewicz, D., Hao, C., Hansen, J.D., Greer, J.B., Abbatt, J., and Peng, H., 2024, Structurally selective ozonolysis of p-phenylenediamines and toxicity in coho salmon and rainbow trout: Environmental Science and Technology, v. 58, no. 49, p. 21423-21432, https://doi.org/10.1021/acs.est.4c04817.","productDescription":"10 p.","startPage":"21423","endPage":"21432","ipdsId":"IP-173239","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":484179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"49","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Xie, Linna","contributorId":340051,"corporation":false,"usgs":false,"family":"Xie","given":"Linna","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Jie","contributorId":340052,"corporation":false,"usgs":false,"family":"Yu","given":"Jie","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nair, Pranav","contributorId":340053,"corporation":false,"usgs":false,"family":"Nair","given":"Pranav","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sun, Jianxian","contributorId":340054,"corporation":false,"usgs":false,"family":"Sun","given":"Jianxian","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barrett, Holly","contributorId":340055,"corporation":false,"usgs":false,"family":"Barrett","given":"Holly","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meek, Oliver","contributorId":340056,"corporation":false,"usgs":false,"family":"Meek","given":"Oliver","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Qian, Xing","contributorId":340057,"corporation":false,"usgs":false,"family":"Qian","given":"Xing","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932591,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Diwen","contributorId":340058,"corporation":false,"usgs":false,"family":"Yang","given":"Diwen","email":"","affiliations":[{"id":81440,"text":"University of Toronto, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932592,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kennedy, Lisa V.","contributorId":201905,"corporation":false,"usgs":false,"family":"Kennedy","given":"Lisa","email":"","middleInitial":"V.","affiliations":[{"id":36284,"text":"Western Ontario University, London, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":932593,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kozakiewicz, Derek","contributorId":340059,"corporation":false,"usgs":false,"family":"Kozakiewicz","given":"Derek","email":"","affiliations":[{"id":81443,"text":"Ontario Ministry of the Environment, Conservation and Parks, Environmental Sciences and Standards Division","active":true,"usgs":false}],"preferred":false,"id":932594,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hao, Chunyan","contributorId":340061,"corporation":false,"usgs":false,"family":"Hao","given":"Chunyan","email":"","affiliations":[{"id":81443,"text":"Ontario Ministry of the Environment, Conservation and Parks, Environmental Sciences and Standards Division","active":true,"usgs":false}],"preferred":false,"id":932595,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":932597,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":932596,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Abbatt, Jonathan P.D.","contributorId":352951,"corporation":false,"usgs":false,"family":"Abbatt","given":"Jonathan P.D.","affiliations":[],"preferred":false,"id":932598,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Peng, Hui","contributorId":340063,"corporation":false,"usgs":false,"family":"Peng","given":"Hui","email":"","affiliations":[{"id":81444,"text":"University of Toronto, School of the Environment, Department of Chemistry","active":true,"usgs":false}],"preferred":false,"id":932599,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70261468,"text":"70261468 - 2024 - Modeling the responses of blue carbon fluxes in Mississippi River Deltaic Plain brackish marshes to climate change induced hydrologic conditions","interactions":[],"lastModifiedDate":"2024-12-11T17:24:00.833987","indexId":"70261468","displayToPublicDate":"2024-11-23T11:17:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the responses of blue carbon fluxes in Mississippi River Deltaic Plain brackish marshes to climate change induced hydrologic conditions","docAbstract":"Carbon fluxes in tidal brackish marshes play a critical role in determining coastal wetland carbon sequestration and storage, thus affecting carbon crediting of coastal wetland restoration. In this study, a process-driven wetland biogeochemistry model, Wetland Carbon Assessment Tool DeNitrification-DeComposition was applied to nine brackish marsh sites in Mississippi River (MR) Deltaic Plain to examine the responses of gross primary productivity (GPP), ecosystem respiration (ER), net ecosystem exchange (NEE), and emissions of methane (CH4) and nitrous oxide (N2O) to climate change. Simulations of a normal hydrologic year (2013), dry year (2011) and wet year (2021), and a hypothetical sea level rise (SLR) case were conducted as climate change scenarios. These climate change scenarios were determined by the Palmer Drought Severity Index (PDSI) for the Northeast Division of Coastal Louisiana during 2001–2021. Model results showed that GPP, ER, NEE, CH4, and N2O vary with site, and these brackish marshes lost carbon (net CO2 emission) due to large reduction in primary productivity under the climate scenarios, as well as even during the normal hydrologic year. Average cross-site NEE were 148, 140 and 132 g C m−2 yr−1 in the dry, wet, and normal years (all net loss of wetland C). Under the hypothetical SLR, NEE were reduced by -25% compared to the normal year, but GPP and NPP were declined by -40% and -70%, respectively. These results suggest that climate change induced changes in soil salinity and water table depth will exacerbate carbon loss from tidal brackish marshes.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-024-01881-w","usgsCitation":"Wang, H., Krauss, K., Dai, Z., Noe, G.E., and Trettin, C.C., 2024, Modeling the responses of blue carbon fluxes in Mississippi River Deltaic Plain brackish marshes to climate change induced hydrologic conditions: Wetlands, v. 44, no. 8, 122, 19 p., https://doi.org/10.1007/s13157-024-01881-w.","productDescription":"122, 19 p.","ipdsId":"IP-168330","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":489083,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.mtu.edu/michigantech-p2/1205","text":"External Repository"},{"id":465027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":" Mississippi River Deltaic Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.15,\n 29.6667\n ],\n [\n -91.7,\n 29.6667\n ],\n [\n -91.7,\n 29.15\n ],\n [\n -90.15,\n 29.15\n ],\n [\n -90.15,\n 29.6667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":215079,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":920660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":920661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dai, Zhaohua 0000-0002-0941-8345","orcid":"https://orcid.org/0000-0002-0941-8345","contributorId":290409,"corporation":false,"usgs":false,"family":"Dai","given":"Zhaohua","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":920662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":920663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trettin, Carl C. 0000-0003-0279-7191","orcid":"https://orcid.org/0000-0003-0279-7191","contributorId":293476,"corporation":false,"usgs":false,"family":"Trettin","given":"Carl","email":"","middleInitial":"C.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":920664,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266575,"text":"70266575 - 2024 - Effects of trap funnel and finger design on Sea Lamprey entrance and retention","interactions":[],"lastModifiedDate":"2025-05-09T15:28:26.367683","indexId":"70266575","displayToPublicDate":"2024-11-23T10:24:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Effects of trap funnel and finger design on Sea Lamprey entrance and retention","docAbstract":"Traps are used to catch adult sea lampreys during their upstream migration to estimate their abundance in streams and, in turn, provide a measure of the Sea Lamprey Control Program’s effectiveness. During 2015 and 2016, we experimentally compared two components of sea lamprey trap design: trap entrance funnel type and the presence of retention devices, using side-by-side instream test chambers as well as laboratory flumes. We modeled how likelihoods of entrance and retention were influenced by funnel type, retention fingers, water temperature, and lamprey sex. Likelihood of entrance was highest with bottom-oriented funnels and no retention fingers. As water temperature increased, the likelihood of entrance generally increased, but funnel type and retention fingers determined the magnitude of the increase. Likelihood of retention was highest with bottom-oriented funnels and retention fingers and was also influenced by water temperature. Overall, the likelihood of capture (result of entrance + retention) was highest for bottom-oriented funnels and varied by water temperature and lamprey sex but not retention fingers. Further testing on other components of trap design is needed. This type of controlled experimental design can help guide future work to improve trap exploitation rates.
","language":"English","publisher":"MDPI","doi":"10.3390/w16233365","usgsCitation":"Hrodey, P.J., Bravener, G., and Miehls, S.M., 2024, Effects of trap funnel and finger design on Sea Lamprey entrance and retention: Water, v. 16, no. 23, 3365, 8 p., https://doi.org/10.3390/w16233365.","productDescription":"3365, 8 p.","ipdsId":"IP-169595","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16233365","text":"Publisher Index Page"},{"id":485652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hrodey, Peter J.","contributorId":205578,"corporation":false,"usgs":false,"family":"Hrodey","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":6599,"text":"U.S. Fish and Wildlife Service, Marquette Biological Station","active":true,"usgs":false}],"preferred":false,"id":936582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":936583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936584,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261157,"text":"70261157 - 2024 - Visual interpretation of high-resolution aerial imagery: A tool for land managers","interactions":[],"lastModifiedDate":"2024-11-26T16:16:39.184937","indexId":"70261157","displayToPublicDate":"2024-11-23T10:14:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Visual interpretation of high-resolution aerial imagery: A tool for land managers","docAbstract":"Remotely sensed imagery from various collection platforms (e.g., satellites, crewed and uncrewed aircraft) are used by biologists and other conservation personnel to support management activities ranging from monitoring invasive species to assessing land cover and vegetation characteristics. Although remote sensing–based vegetation indices and models have been developed and used for some management applications, straightforward visual interpretation of imagery by on-the-ground personnel may be a pragmatic approach for obtaining time-sensitive and spatially relevant information to support and guide local management activities. Our primary objective was to qualitatively assess our ability to identify patches of target invasive plant species based on simple visual interpretation of high-resolution aerial imagery. We also sought to compare the high-resolution imagery to widely available imagery (e.g., National Agriculture Imagery Program) to determine the efficacy of each for assessing vegetation communities and land-cover features in support of management activities. To accomplish these objectives, we obtained high-resolution imagery and visually scanned and assessed the imagery by using standard geographic information system software. We were able to differentiate patches of crownvetch Securigera varia (L.) Lassen and wild parsnip Pastinaca sativa L., but not spotted knapweed Centaurea stoebe L. or leafy spurge Euphorbia esula L. The relative success in identifying these species had a relationship to plant characteristics (e.g., flower color and morphology, height), time of year (phenology), patch size and density, and potentially site characteristics such density of the underlying vegetation (e.g., grasses), substrate color characteristics (i.e., color contrast with flowers), and physical disturbance. Our straightforward, qualitative assessment suggests that visual interpretation of high-resolution imagery, but not some lower-resolution imagery, may be an efficient and effective tool for supporting local invasive species management through activities such as monitoring known patches, identifying undetected infestations, assessing management actions, guiding field work, or prioritizing on-the-ground monitoring activities.
","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-23-048","usgsCitation":"Tangen, B., Esser, R.L., and Walker, B.A., 2024, Visual interpretation of high-resolution aerial imagery: A tool for land managers: Journal of Fish and Wildlife Management, v. 15, no. 1, p. 312-326, https://doi.org/10.3996/JFWM-23-048.","productDescription":"15 p.","startPage":"312","endPage":"326","ipdsId":"IP-156928","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466746,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-048","text":"Publisher Index Page"},{"id":464528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":919459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esser, Rebecca L.","contributorId":346527,"corporation":false,"usgs":false,"family":"Esser","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":919460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Benjamin A.","contributorId":169057,"corporation":false,"usgs":false,"family":"Walker","given":"Benjamin","email":"","middleInitial":"A.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":919461,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263921,"text":"70263921 - 2024 - Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2024","interactions":[],"lastModifiedDate":"2026-03-17T15:06:47.161953","indexId":"70263921","displayToPublicDate":"2024-11-23T10:03:08","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"displayTitle":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2024","title":"Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2024","docAbstract":"Red Knots (Calidris canutus rufa) stop at Delaware Bay on the mid-Atlantic coast of North America during northward migration to feed on eggs of horseshoe crabs (Limulus polyphemus). Horseshoe crabs have been harvested for use as bait in eel (Anguilla rostrata) and whelk (Busycotypus canaliculatus and Busycon carica) fisheries since at least 1990. In the late 1990s and early 2000s, the number of Red Knots counted during aerial surveys at Delaware Bay declined, leading to conservation concern for Red Knots and shorebirds at Delaware Bay. In 2013, the Atlantic States Marine Fisheries Commission began using an Adaptive Resource Management (ARM) framework to manage the harvest of horseshoe crabs in the Delaware Bay region. The objective of the ARM framework is to manage sustainable harvest of Delaware Bay horseshoe crabs while maintaining ecosystem integrity and supporting Red Knot recovery with adequate stopover habitat. The ARM framework thus requires annual estimates of horseshoe crab population size and Red Knot stopover population size to recommend annual harvest quotas. We estimated the passage population of Red Knots at Delaware Bay in 2024 using a mark-recapture-resight investigation. We used a Bayesian analysis of a Jolly-Seber model, which accounts for turnover in the population and the probability of detection during surveys. The estimated passage population size in 2024 was 46,127 (95% credible interval: 39,286–57,799), an increase from 2023 (39,361 [33,724–47,556]). Since 2019, the stopover population has fluctuated between approximately 39,000 and 46,000, and appears stable given the broad overlap in the confidence intervals of the annual population estimates. The 2024 Red Knot stopover population estimate will inform decision making in the next horseshoe crab management cycle of the Atlantic States Marine Fisheries Commission.
","language":"English","publisher":"Delaware Division of Fish and Wildlife","usgsCitation":"Lyons, J.E., 2024, Stopover population estimate and migration ecology of Red Knots C. c. rufa at Delaware Bay, USA, 2024, 16 p.","productDescription":"16 p.","ipdsId":"IP-172353","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482621,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dnrec.delaware.gov/fish-wildlife/conservation/shorebirds/research/"},{"id":501216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.10844894246691,\n 38.71094419142639\n ],\n [\n -74.84547301245848,\n 39.09891530924247\n ],\n [\n -74.90299899714816,\n 39.19451507998161\n ],\n [\n -75.48099817664571,\n 39.50167475761344\n ],\n [\n -75.52756683091825,\n 39.65791141521865\n ],\n [\n -75.60974680904543,\n 39.66423790391954\n ],\n [\n -75.65905479592207,\n 39.60516815618203\n ],\n [\n -75.60974680904543,\n 39.429772303548646\n ],\n [\n -75.44812618539433,\n 39.24332702987286\n ],\n [\n -75.45360485060331,\n 39.05638485196263\n ],\n [\n -75.2810268965351,\n 38.82841171381057\n ],\n [\n -75.10844894246691,\n 38.71094419142639\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929098,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70261898,"text":"70261898 - 2024 - Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence","interactions":[],"lastModifiedDate":"2025-03-25T15:52:29.353037","indexId":"70261898","displayToPublicDate":"2024-11-23T09:19:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence","docAbstract":"Sierra Nevada ecosystems have been influenced by fire for millennia; however, increasing wildfire size and frequency may yield unforeseen consequences on wildlife populations and their distribution. Foothill yellow-legged frogs Rana boylii have declined in portions of their range and are considered a species of conservation concern. We surveyed streams for foothill yellow legged frogs in and near the 2021 Dixie Fire footprint using double-observer visual encounter surveys that incorporated time-to-detection methods, and used structural causal modeling to improve post-fire inference while lacking pre-fire data. We found that foothill yellow-legged frog probability of occurrence was 4.93 (95% equal-tailed interval = 0.52 – 160) times higher outside the footprint of the Dixie Fire than within it, though probability of occurrence was generally low within our sampling frame (ψunburned = 0.21 [0.08 – 0.49]; ψburned = 0.05 [0.002 – 0.28]). Measured environmental characteristics, however, were similar within and outside the fire footprint, and observed occupancy patterns might reflect the recent historical distribution of the frogs. Our study emphasizes the importance of site-specific pre-disturbance data when attempting to evaluate the causal effects of disturbances on wildlife. Although it remains to be seen how this species will fare in an increasingly frequent and intense fire regime, foothill yellow-legged frogs may tolerate some level of fire disturbance.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-24-037","usgsCitation":"Halstead, B., Kleeman, P.M., and Rose, J.P., 2024, Using structural causal modeling to infer the effects of wildfire on foothill yellow-legged frog occurrence: Journal of Fish and Wildlife Management, v. 15, no. 2, p. 419-431, https://doi.org/10.3996/JFWM-24-037.","productDescription":"13 p.","startPage":"419","endPage":"431","ipdsId":"IP-169208","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488311,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-24-037","text":"Publisher Index Page"},{"id":465610,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.47069694179848,\n 41.046727577050234\n ],\n [\n -122.47069694179848,\n 39.95131798630993\n ],\n [\n -120.09752429348453,\n 39.95131798630993\n ],\n [\n -120.09752429348453,\n 41.046727577050234\n ],\n [\n -122.47069694179848,\n 41.046727577050234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":922197,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922198,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922199,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70269374,"text":"70269374 - 2024 - Nonnative Smallmouth Bass in the Snake River, Idaho: Population dynamics, demographics, and management options","interactions":[],"lastModifiedDate":"2025-07-21T14:05:05.801926","indexId":"70269374","displayToPublicDate":"2024-11-23T08:54:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nonnative Smallmouth Bass in the Snake River, Idaho: Population dynamics, demographics, and management options","docAbstract":"The Snake River in Idaho, USA, supports a popular sport fishery for nonnative Smallmouth Bass Micropterus dolomieu, but there are limited studies on the population dynamics of this introduced species in Idaho and other water systems in the western United States. The purpose of this study was to describe the population dynamics and demographics of Smallmouth Bass in the Snake River, Idaho. In total, we sampled 4,929 Smallmouth Bass during electrofishing surveys on the Snake River (separated into nine segments) and three major tributaries (Boise, Payette, and Weiser rivers). We estimated age for 1,869 Smallmouth Bass sampled from the Snake River (n = 1,433) and three tributaries (n = 436). Catch-per-unit-effort for all nine segments combined on the Snake River was 36.6 fish/h (±4.4 SE). In the tributaries, catch-per-unit-effort varied from 43.6 to 125.0 fish/h. Relative weight of all Smallmouth Bass varied from 86 to 107, indicating that fish were in relatively good body condition. Fish in the system grew fast, with relative growth index values often near or exceeding 100 for all age classes. Total annual mortality for the Snake River was 45.1 ± 0.7%, and it was 36.8–40.5% in the tributaries. Furthermore, we estimated exploitation to be 5.3% (90% CI; ±2.2%) for the Snake River and tributaries combined. We used a yield-per-recruit population model to evaluate the effects of varying minimum length limits on the fishery. With the observed population demographics and exploitation rates, increasing the current minimum length limit from 305 mm to 356 or 406 mm would probably have little influence on the number of Smallmouth Bass available to anglers. However, increasing the length limit would result in reduced biomass available for harvest. The potential for recruitment overfishing was minimal for all minimum length limits and levels of exploitation. As such, changes to current harvest regulations do not appear warranted. Our findings provide important information on the population dynamics of Smallmouth Bass that can be useful in evaluating their management across Idaho and in similar systems in western North America.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/jfwm-23-022","usgsCitation":"McClure, C., Quist, M.C., Kozfkay, J., and Schill, D., 2024, Nonnative Smallmouth Bass in the Snake River, Idaho: Population dynamics, demographics, and management options: Journal of Fish and Wildlife Management, v. 15, no. 1, p. 3-16, https://doi.org/10.3996/jfwm-23-022.","productDescription":"14 p.","startPage":"3","endPage":"16","ipdsId":"IP-097797","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-23-022","text":"Publisher Index Page"},{"id":492610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.10963406513551,\n 43.158779317239436\n ],\n [\n -116.4180390307447,\n 44.97151977841676\n ],\n [\n -117.30591484918756,\n 44.896844314128515\n ],\n [\n -117.09312056286396,\n 43.167784786405036\n ],\n [\n -116.10963406513551,\n 43.158779317239436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n -116.324,\n 43.236576\n ],\n \"type\": \"Point\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Conor","contributorId":275013,"corporation":false,"usgs":false,"family":"McClure","given":"Conor","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":943604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":943605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozfkay, Joseph R.","contributorId":358373,"corporation":false,"usgs":false,"family":"Kozfkay","given":"Joseph R.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":943606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schill, Daniel J.","contributorId":288577,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":61802,"text":"Fisheries Management Solutions","active":true,"usgs":false}],"preferred":false,"id":943607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262816,"text":"70262816 - 2024 - Using stable oxygen isotope dual-inlet isotope-ratio mass spectrometry to elucidate uranium transport and mixed 230Th/U calcite formation ages at the seminal Devils Hole, Nevada, natural laboratory","interactions":[],"lastModifiedDate":"2025-01-23T15:53:44.145465","indexId":"70262816","displayToPublicDate":"2024-11-23T08:46:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"Using stable oxygen isotope dual-inlet isotope-ratio mass spectrometry to elucidate uranium transport and mixed 230Th/U calcite formation ages at the seminal Devils Hole, Nevada, natural laboratory","docAbstract":"Rationale
Vein calcite in Devils Hole has been precipitating continuously in oxygen-isotope equilibrium at a constant temperature for over 500 000 years, providing an unmatched δ18O paleoclimate time series. A substantial issue is that coeval calcite (based on matching δ18O values) has uranium-series ages differing by 12 000 years.
Methods
An unparalleled high-accuracy δ18O chronology series from continuously submerged calcite was used to correct the published uranium-series ages of non-continuously formed calcite in two cores, cyclically exposed by water-table decline during glacial–interglacial transitions. This method relies on the premise that the δ18O values of coevally precipitated calcite are identical, allowing matching calcite δ18O values to establish formation ages.
Results
Exposed calcite can have apparent ages that are 12 000 years too young due to unrecognized uranium mobility and resulting mixed ages identified in over 50 mixed uranium-series ages from previous studies. Secondary uranium in fluids, sourced from the formation or dissolution of porous carbonate deposits (folia) with high uranium-238 (238U) concentrations, has migrated up to 10 mm into vein calcite.
Conclusions
The continuously submerged Devils Hole δ18O chronology is not explained by orbital forcing. Rather, this chronology represents a regional climate record in the southern Great Basin of sea-surface-temperature (SST) variations off California, variations that preceded the last and penultimate deglaciations by 5000 to approximately 10 000 years. Temporal discrepancies between the continuously submerged Devils Hole chronology and other regional δ18O records (e.g., the Leviathan chronology) can be explained by unrecognized cryptic, pernicious uranium mobility, leading to model estimations that may be thousands of years younger than actual ages. Consequently, paleo-moisture availability, water-table, and groundwater recharge models based on these mixed uranium-series ages are too young by as much as 12 000 years. The potential for post-formation uranium addition in subaerial cores and speleothems underscores the need for caution in uranium-series dating, highlighting δ18O time-series comparisons as a method for identifying mixed ages.
","language":"English","publisher":"Wiley","doi":"10.1002/rcm.9926","usgsCitation":"Coplen, T.B., Seal,, R., Reid, L.T., Jordan, J., and Mumford, A.C., 2024, Using stable oxygen isotope dual-inlet isotope-ratio mass spectrometry to elucidate uranium transport and mixed 230Th/U calcite formation ages at the seminal Devils Hole, Nevada, natural laboratory: Rapid Communications in Mass Spectrometry, v. 39, no. 3, e9926, 18 p., https://doi.org/10.1002/rcm.9926.","productDescription":"e9926, 18 p.","ipdsId":"IP-094999","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":481048,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/rcm.9926","text":"External Repository"},{"id":480997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Great Basin, Devils Hole","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.79795852135467,\n 40.12275342984714\n ],\n [\n -116.79795852135467,\n 35.9796450622334\n ],\n [\n -113.93379652706551,\n 35.9796450622334\n ],\n [\n -113.93379652706551,\n 40.12275342984714\n ],\n [\n -116.79795852135467,\n 40.12275342984714\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":924884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal,, Robert R. II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":924885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reid, Lauren T 0000-0003-3872-9596","orcid":"https://orcid.org/0000-0003-3872-9596","contributorId":243302,"corporation":false,"usgs":true,"family":"Reid","given":"Lauren","email":"","middleInitial":"T","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":924886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, James A 0000-0002-7419-8465","orcid":"https://orcid.org/0000-0002-7419-8465","contributorId":349815,"corporation":false,"usgs":true,"family":"Jordan","given":"James A","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":924887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":924888,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261071,"text":"sir20245089 - 2024 - Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee","interactions":[],"lastModifiedDate":"2025-12-22T20:39:12.793493","indexId":"sir20245089","displayToPublicDate":"2024-11-22T16:23:22","publicationYear":"2024","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":"2024-5089","displayTitle":"Mapping Karst Groundwater Flow Paths and Delineating Recharge Areas for Springs in the Little Sequatchie and Pryor Cove Watersheds, Tennessee","title":"Mapping karst groundwater flow paths and delineating recharge areas for springs in the Little Sequatchie and Pryor Cove watersheds, Tennessee","docAbstract":"The Little Sequatchie River and Pryor Cove Branch, in southern Tennessee, drain the eastern escarpment of the Cumberland Plateau to the Sequatchie River near the southern end of the Sequatchie Valley. The Little Sequatchie River is the largest tributary to the Sequatchie River by drainage area, covering over 120 square miles. The hydrology of the two drainage areas has been largely altered by karst processes, which has caused the majority of the streams to sink at the contact between the Mississippian Pennington Formation and the underlying Mississippian Bangor Limestone. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service and Tennessee Department of Environment and Conservation, initiated a study in 2021 to map the karst groundwater pathways in both watersheds in order to delineate recharge areas for several springs. One of these springs, Sequatchie Cave, represents a significant habitat for two Species of Greatest Conservation Need, the Glyphopsyche sequatchie (Sequatchie caddisfly) and the federally endangered Marstonia ogmorhaphe (royal marstonia). Springs and springflow-dominated streams in the Little Sequatchie River valley and Pryor Cove also provide water for agricultural practices and serve as a drinking water source for nearby communities. During the study, a total of 25 dye injections were conducted over eight rounds from January 2022 through March 2023. Dye traces from these injections helped to delineate recharge areas for six major springs, ranging from 7.3 to 65.2 square miles in area. The majority of the dye traces remained subsurface (from sinkpoint to recovery site) for long distances, with karst groundwater travelling nearly 8 miles before resurfacing. The dye traces also had rapid traveltimes, often travelling hundreds to thousands of feet per hour. The goal of this project was to provide scientific data related to karst groundwater pathways and spring recharge areas to aid State and Federal agencies in making informed decisions to protect and preserve this unique and vulnerable karst system.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"The U.S. Geological Survey constructed a two-dimensional hydrodynamic model that was applied to a 15.8-mile tailwater reach of the Colorado River in Glen Canyon that begins 0.25 mile downstream from Glen Canyon Dam and extends to Lees Ferry in Glen Canyon National Recreation Area, Arizona. The model used the Flow and Sediment Transport with Morphological Evolution of Channels (FaSTMECH) solver in the International River Interface Cooperative (iRIC) modeling interface. The model grid was developed from a full channel digital elevation model derived by combining bathymetric and topographic data collected from March 2013 to February 2016. The model was used to predict water-surface elevations, depths, depth-averaged flow velocities, and bed shear stresses for discharges ranging from 1,000 to 70,000 cubic feet per second. Modeled water-surface elevations matched well with measured values at cross sections throughout the reach, with a mean absolute error of 0.14 meter over the range of typical discharge releases from Glen Canyon Dam. The mean error on discharge, a measure of how well the model solution converged, averaged 0.6 percent and did not exceed 2 percent over the range of discharges modeled. These results indicate that model predictions of hydraulic parameters are reasonably accurate and suitable for use for a variety of purposes, such as ecological and geomorphic modeling.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1197","usgsCitation":"Wright, S.A., Kaplinski, M.A., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona: U.S. Geological Survey Data Report 1197, 9 p., https://doi.org/10.3133/dr1197.","productDescription":"Report: v, 9 p.; Data Release","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-161399","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":464434,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.XML"},{"id":464432,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1197/coverthb.jpg"},{"id":497908,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117828.htm","linkFileType":{"id":5,"text":"html"}},{"id":464437,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QTRNEB","text":"USGS Data Release","description":"Wright, S.A., Kaplinski, M., and Grams, P.E., 2024, Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment: U.S. Geological Survey data release, https://doi.org/10.5066/P1QTRNEB.","linkHelpText":"Hydrodynamic model of the Colorado River, Glen Canyon Dam to Lees Ferry in Glen Canyon National Recreation Area, Arizona—Tables of model results and accuracy assessment"},{"id":464436,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1197/full"},{"id":464435,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1197/images"},{"id":464433,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1197/dr1197.pdf","text":"Report","size":"2.6 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Glen Canyon Dam, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.45495155269207,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.96381776712943\n ],\n [\n -111.62114273826977,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.820663467737276\n ],\n [\n -111.45495155269207,\n 36.96381776712943\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Director, National Land Imaging Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Site 11 is a former landfill at North Chevalier Field Disposal Area in Operable Unit 2 at Naval Air Station Pensacola, in northwest Florida. Site 11 is adjacent to Bayou Grande, a shallow, tidally influenced, saline estuary of the Pensacola Bay watershed. Federal and Florida regulators have expressed concern that contaminants detected in groundwater beneath the inland parts of Site 11 may discharge to Bayou Grande. In 2017, the Department of Defense, U.S. Navy, Naval Facilities Engineering Systems Command Southeast asked the U.S. Geological Survey to assess the occurrence of fresh groundwater discharge to Bayou Grande at Site 11 and to delineate to the extent practicable the location of groundwater discharge. Between 2018 and 2022, the U.S. Geological Survey used a multiple-lines-of-evidence approach that included a visual method and three physical methods based on the temperature difference between groundwater and surface water to assess groundwater discharge. One of the physically based methods also used the difference in specific conductance between fresh groundwater and brackish to saline surface water. Combined, the data indicate that fresh groundwater from across Site 11 discharges primarily along the shoreline of the northern and northeastern part of Site 11. The data also indicate that saline surface water from Bayou Grande intrudes tens of feet into the shallow aquifer beneath Site 11. The combined data indicate that the interface between fresh groundwater and saline surface water changes over space and time. Any new monitoring wells proposed for installation near the shoreline of Site 11 should include approaches to monitor the changes in the location of the freshwater/saltwater interface. Care would need to be taken to collect any groundwater samples at the correct season and tidal period to provide the highest probability of collecting a representative sample of Site 11 groundwater unaffected by saltwater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245058","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Navy Naval Facilities Engineering Systems Command Southeast","usgsCitation":"Landmeyer, J.E., McBride, W.S., Tripp, C.H., and Singletary, M.A., 2024, Assessment of fresh groundwater discharge and saline surface-water intrusion at Operable Unit 2, North Chevalier Field Disposal Area (Site 11), Naval Air Station Pensacola, Florida, 2018–22: U.S. Geological Survey Scientific Investigations Report 2024–5058, 45 p., https://doi.org/10.3133/sir20245058.","productDescription":"Report: x, 45 p.; Data Release","numberOfPages":"60","onlineOnly":"Y","ipdsId":"IP-130056","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":464357,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WQEBHV","text":"USGS Data Release","linkHelpText":"- Specific conductance and fiber-optic distributed temperature sensing data collected at Operable Unit 2, North Chevalier Field Disposal Area (Site 11), Naval Air Station Pensacola, Florida, 2018–2022"},{"id":464399,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5058/images"},{"id":464356,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245058/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5058 HTML"},{"id":464355,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5058/sir20245058.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5058 XML"},{"id":464354,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5058/sir20245058.pdf","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5058"},{"id":464353,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5058/coverthb.jpg"},{"id":497910,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117829.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Naval Air Station Pensacola, North Chevalier Field Disposal Area (Site 11)","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.27464292788976,\n 30.36430517427192\n ],\n [\n -87.27464292788976,\n 30.355396636678606\n ],\n [\n -87.26488586538576,\n 30.355396636678606\n ],\n [\n -87.26488586538576,\n 30.36430517427192\n ],\n [\n -87.27464292788976,\n 30.36430517427192\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
1770 Corporate Drive, suite 500
Norcross, GA 30093
Contact Us- USGS Publications Warehouse
","tableOfContents":"The introduction of HPAI H5N1 clade 2.3.4.4b viruses to North America in late 2021 resulted in avian influenza outbreaks in poultry, mortality events in many wild bird species, and spillover into many mammalian species. Reassortment events with North American low pathogenic virus were identified as early as February 2022 and over 100 genotypes have been characterized. Such diversity increases the complexity and time required for monitoring virus evolution. Here, we performed ordination and clustering analyses on sequence data from H5N1 viruses identified in North America between January 2020 to December 2023 to visualize virus genotypic diversity in poultry and wildlife populations. Our results reveal that ordination and cluster-based approaches can complement traditional phylogenetic analyses specifically for the preliminary assignment of H5N1 viruses to genotypic groups or to identify novel genotypes. Our study expands current knowledge on genotype diversity of H5N1 viruses in North America and describes a rapid approach for early virus genotype assignment.
","language":"English","publisher":"MDPI","doi":"10.3390/v16121818","usgsCitation":"Tawidian, P., Torchetti, M.K., Killian, M.L., Lantz, K., Dilione, K.E., Ringenberg, J.M., Bevins, S.N., Lenoch, J., and Ip, H., 2024, Genotypic clustering of H5N1 avian Influenza viruses in North America evaluated by ordination analysis: Viruses, v. 16, no. 12, 1818, 17 p., https://doi.org/10.3390/v16121818.","productDescription":"1818, 17 p.","ipdsId":"IP-170684","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":466747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v16121818","text":"Publisher Index Page"},{"id":465205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Tawidian, Patil 0000-0001-9727-6668","orcid":"https://orcid.org/0000-0001-9727-6668","contributorId":347249,"corporation":false,"usgs":true,"family":"Tawidian","given":"Patil","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":921139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torchetti, Mia K.","contributorId":252830,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","email":"","middleInitial":"K.","affiliations":[{"id":50437,"text":"US Department of Agriculture – Veterinary Services, Ames, Iowa, USA","active":true,"usgs":false}],"preferred":false,"id":921140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":921141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantz, Kristina","contributorId":317920,"corporation":false,"usgs":false,"family":"Lantz","given":"Kristina","email":"","affiliations":[{"id":69192,"text":"National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, USDA","active":true,"usgs":false}],"preferred":false,"id":921142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dilione, Krista E. 0000-0001-6041-7877 kdilione@usgs.gov","orcid":"https://orcid.org/0000-0001-6041-7877","contributorId":347250,"corporation":false,"usgs":false,"family":"Dilione","given":"Krista","email":"kdilione@usgs.gov","middleInitial":"E.","affiliations":[{"id":83108,"text":"WS National Wildlife Disease Program, U.S. Department of Agriculture, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":921143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ringenberg, Jourdan M.","contributorId":347253,"corporation":false,"usgs":false,"family":"Ringenberg","given":"Jourdan","email":"","middleInitial":"M.","affiliations":[{"id":83108,"text":"WS National Wildlife Disease Program, U.S. Department of Agriculture, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":921144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bevins, Sarah N.","contributorId":212845,"corporation":false,"usgs":false,"family":"Bevins","given":"Sarah","email":"","middleInitial":"N.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":921145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lenoch, Juliana","contributorId":347254,"corporation":false,"usgs":false,"family":"Lenoch","given":"Juliana","email":"","affiliations":[{"id":83108,"text":"WS National Wildlife Disease Program, U.S. Department of Agriculture, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":921146,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ip, Hon S. 0000-0003-4844-7533","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":126815,"corporation":false,"usgs":true,"family":"Ip","given":"Hon S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":921147,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260989,"text":"dr1200 - 2024 - Anatidae brood records in Maine during studies of Anas rubripes (American black duck), 1977–94","interactions":[],"lastModifiedDate":"2024-11-22T14:55:22.940618","indexId":"dr1200","displayToPublicDate":"2024-11-22T09:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1200","displayTitle":"Anatidae Brood Records in Maine During Studies of Anas rubripes (American Black Duck), 1977–94","title":"Anatidae brood records in Maine during studies of Anas rubripes (American black duck), 1977–94","docAbstract":"This report describes a compilation of brood observations for Anatidae species breeding in Maine during an 18-year period (1977–94) that were made by the U.S. Geological Survey’s Patuxent Wildlife Research Center while it was operated by the U.S. Fish and Wildlife Service. During four focused studies, variables affecting the declining Anas rubripes (Brewster, 1902) (American black duck, hereafter black duck) population were assessed. Broods were observed on seven geographical study sites within four study areas located in three of Maine’s five biophysical regions. For combined studies, 168 wetlands were monitored for broods.
The 1,907 recorded broods were distributed among study areas: 185 in Dixmont, 241 in Cherryfield and Beddington, 411 in Moosehorn, Baring Unit and Edmunds Unit, and 849 in Aroostook County, Agricultural and Forested sites. Additionally, 221 broods were recorded in the 117-hectare Downing Bog wetland at the Cherryfield site during annual evening visits made between 1985 and 1991. Twelve Anatidae species, mostly black duck (676), Aix sponsa (Linnaeus, 1758) (wood duck; 265), Aythya collaris (Donovan, 1809) (ring-necked duck; 246), and Lophodytes cucullatus (Linnaeus, 1758) (hooded merganser; 163) were observed. Only 139 broods of Anas platyrhynchos (Linnaeus, 1758) (mallard) were found; all but 9 broods were at the Aroostook County, Agricultural site. Branta canadensis (Linnaeus, 1758) (Canada goose) broods were found at the Aroostook County, Agricultural site (58) and Moosehorn, Baring Unit (97).
For the combined studies, 468 of 676 (69.2 percent) of black duck broods reached fledging age (Class IIc-III), whereas 93 of 139 (66.9 percent) of mallard broods reached fledging age. Black ducks used predominantly palustrine, emergent wetland; palustrine, forested wetland; and palustrine, scrub-shrub wetland. Of the 134 mallard broods observed at the Agricultural and Forested sites in Aroostook County, 130 (97.0 percent) were observed at the Agricultural site and 93 (71.5 percent) of them were recorded on two palustrine and two lacustrine, unconsolidated bottom class wetlands. Mean size of black duck, wood duck, and ring-necked duck broods in this report were similar to those reported from historic Maine data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1200","usgsCitation":"Longcore, J.R., Bunck, C.M., McAuley, D.G., and Clugston, D.A., 2024, Anatidae brood records in Maine during studies of Anas rubripes (American black duck), 1977–94: U.S. Geological Survey Data Report 1200, 25 p., https://doi.org/10.3133/dr1200.","productDescription":"Report: vii, 25 p.; Data Release","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167393","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1200/coverthb.jpg"},{"id":464308,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TOYWG","text":"USGS data release","linkHelpText":"Waterfowl (Anatidae) Brood Data, Maine, 1977–1994"},{"id":464307,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1200/images/"},{"id":464304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1200/dr1200.pdf","text":"Report","size":"2.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1200 PDF"},{"id":464305,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1200/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1200 HTML"},{"id":464306,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1200/dr1200.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1200 XML"}],"country":"United States","state":"Maine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.152589,43.746794],[-70.158456,43.751616],[-70.147646,43.758585],[-70.145911,43.772119],[-70.128271,43.774009],[-70.14089,43.753204],[-70.152589,43.746794]]],[[[-70.135957,43.753219],[-70.129721,43.76408],[-70.117688,43.765693],[-70.135957,43.753219]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.200116,43.662978],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.210825,43.661695],[-70.213948,43.666161],[-70.201893,43.685483],[-70.191041,43.689071],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.146115,43.701635],[-70.135563,43.700658],[-70.154503,43.680933],[-70.168227,43.675136],[-70.173571,43.683734],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.093704,43.6918],[-70.099594,43.695366],[-70.115908,43.682978],[-70.118174,43.686375],[-70.093113,43.710524],[-70.097184,43.700929],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.094986,43.753211],[-70.107812,43.734555],[-70.108978,43.722312],[-70.129383,43.70832],[-70.138128,43.718231],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.502942,44.099722],[-68.51706,44.10341],[-68.518703,44.113222],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.331032,44.10758],[-68.338012,44.101473],[-68.365176,44.101464],[-68.375382,44.11646],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.396634,44.14069],[-68.438518,44.11618],[-68.448646,44.125581],[-68.447505,44.133493],[-68.456813,44.145268],[-68.496639,44.146855],[-68.502096,44.152388],[-68.500817,44.160026],[-68.474365,44.181875],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.612749,44.207722],[-68.624994,44.197637],[-68.618872,44.18107],[-68.643002,44.15766],[-68.670014,44.151537],[-68.675056,44.137131],[-68.681899,44.138212],[-68.692343,44.153698],[-68.713232,44.160541],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.718635,44.228611],[-68.700627,44.234013],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.333227,44.207308],[-68.314789,44.197157],[-68.321178,44.199032],[-68.332639,44.192131],[-68.339029,44.171839],[-68.347416,44.169459],[-68.378872,44.184222],[-68.364469,44.197534],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.459182,44.197681],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.769047,44.213351],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.827627,44.242838],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.214641,44.263156],[-68.211329,44.257074],[-68.24031,44.251622],[-68.240806,44.239723],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.246598,44.257836],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.657031,44.003823],[-68.659874,44.022758],[-68.650767,44.039908],[-68.661594,44.075837],[-68.627893,44.088128],[-68.6181,44.096706],[-68.609722,44.094674],[-68.584074,44.070578],[-68.590792,44.058662],[-68.601099,44.058362],[-68.610703,44.013422],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.874139,44.025359],[-68.889717,44.032516],[-68.899997,44.06696],[-68.913406,44.08519],[-68.908984,44.110001],[-68.944597,44.11284],[-68.917286,44.148239],[-68.847249,44.183017],[-68.825067,44.186338],[-68.819156,44.180462],[-68.82284,44.173693],[-68.818423,44.160978],[-68.782375,44.14531],[-68.792065,44.136759],[-68.818039,44.136852],[-68.820515,44.130198],[-68.815562,44.115836],[-68.806832,44.116339],[-68.790525,44.09292],[-68.772639,44.078439],[-68.77029,44.069566],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.571774,44.453403],[-67.588346,44.449754],[-67.604919,44.502056],[-67.619211,44.506009],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.919325,44.335392],[-68.90353,44.378613],[-68.87894,44.386584],[-68.868444,44.38144],[-68.860649,44.364425],[-68.87169,44.344662],[-68.89285,44.334653],[-68.896587,44.321986],[-68.88746,44.303094],[-68.904255,44.279889],[-68.916872,44.242866],[-68.95189,44.218719],[-68.94709,44.226792],[-68.955332,44.243873],[-68.965896,44.249754],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-70.353392,43.535405],[-70.379123,43.507202],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.384949,43.418839],[-70.39089,43.402607],[-70.421282,43.395777],[-70.427672,43.389254],[-70.424986,43.375928],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.576692,43.217651],[-70.618973,43.163625],[-70.638355,43.114182],[-70.655322,43.098008],[-70.665958,43.076234],[-70.703818,43.059825],[-70.708896,43.074989],[-70.737897,43.073488],[-70.756397,43.079988],[-70.766398,43.092688],[-70.779098,43.095887],[-70.8268,43.127086],[-70.8338,43.146886],[-70.823501,43.174585],[-70.828301,43.186685],[-70.819146,43.195157],[-70.811852,43.228306],[-70.817773,43.237408],[-70.837274,43.242321],[-70.843302,43.254321],[-70.858207,43.256286],[-70.861384,43.263143],[-70.881704,43.272483],[-70.886504,43.282783],[-70.906005,43.291682],[-70.900386,43.301358],[-70.91246,43.308289],[-70.912004,43.319821],[-70.93711,43.337367],[-70.956528,43.334691],[-70.967229,43.343777],[-70.985965,43.380023],[-70.98739,43.393457],[-70.982565,43.39778],[-70.987249,43.411863],[-70.96115,43.438321],[-70.9669,43.450458],[-70.961428,43.469696],[-70.974245,43.47742],[-70.967968,43.480783],[-70.954755,43.509802],[-70.954066,43.52261],[-70.963281,43.538929],[-70.950838,43.551026],[-70.972716,43.570255],[-70.989037,43.792154],[-71.031039,44.655455],[-71.084334,45.305293],[-71.059265,45.313753],[-71.030565,45.312652],[-71.00905,45.319022],[-71.002563,45.327819],[-71.011144,45.334679],[-71.01081,45.34725],[-70.985595,45.332188],[-70.950824,45.33453],[-70.939188,45.320177],[-70.917904,45.311924],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.898482,45.244088],[-70.885029,45.234873],[-70.857042,45.22916],[-70.83877,45.237555],[-70.848319,45.244707],[-70.848554,45.263325],[-70.839042,45.269132],[-70.829661,45.290369],[-70.812338,45.302006],[-70.808613,45.311606],[-70.808322,45.325824],[-70.816585,45.330554],[-70.819828,45.340109],[-70.81445,45.356544],[-70.803848,45.364247],[-70.806244,45.376558],[-70.826033,45.398408],[-70.795009,45.428145],[-70.755567,45.428361],[-70.744077,45.421091],[-70.743775,45.411925],[-70.729972,45.399359],[-70.712286,45.390611],[-70.677995,45.394362],[-70.66116,45.386039],[-70.660775,45.378176],[-70.651175,45.377123],[-70.634661,45.383608],[-70.631354,45.41634],[-70.635498,45.427817],[-70.649739,45.442771],[-70.674903,45.452399],[-70.691762,45.471233],[-70.717047,45.487732],[-70.721611,45.515058],[-70.687605,45.549099],[-70.688214,45.563981],[-70.659286,45.58688],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.438878,45.704387],[-70.400404,45.719834],[-70.383552,45.734869],[-70.388501,45.749717],[-70.406548,45.761813],[-70.417641,45.79377],[-70.395907,45.798885],[-70.39662,45.808486],[-70.387916,45.819043],[-70.34244,45.852192],[-70.306162,45.85974],[-70.259117,45.890755],[-70.253897,45.906524],[-70.263313,45.923832],[-70.240177,45.943729],[-70.26541,45.962692],[-70.31628,45.963113],[-70.307463,45.982541],[-70.284571,45.995384],[-70.303034,45.998976],[-70.317629,46.01908],[-70.278334,46.057019],[-70.284176,46.062758],[-70.310609,46.064544],[-70.284554,46.098713],[-70.254021,46.0996],[-70.255038,46.108348],[-70.237947,46.147378],[-70.278034,46.175001],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.232682,46.284428],[-70.205719,46.299865],[-70.203119,46.31438],[-70.208733,46.328961],[-70.191412,46.348072],[-70.174709,46.358472],[-70.148529,46.358923],[-70.129734,46.369384],[-70.125459,46.381352],[-70.11044,46.38611],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.203886,47.452203],[-69.178412,47.456615],[-69.146439,47.44886],[-69.082508,47.423976],[-69.061192,47.433052],[-69.043947,47.427634],[-69.036882,47.407977],[-69.045403,47.39191],[-69.039818,47.386309],[-69.053885,47.377878],[-69.054628,47.315911],[-69.049118,47.306471],[-69.052748,47.294403],[-69.047076,47.267089],[-69.050334,47.256621],[-69.033456,47.240984],[-68.966433,47.212712],[-68.96113,47.205582],[-68.942484,47.206386],[-68.920253,47.195048],[-68.919752,47.189859],[-68.902425,47.178839],[-68.857519,47.19095],[-68.812157,47.215461],[-68.764487,47.222331],[-68.717867,47.240919],[-68.705314,47.238066],[-68.687662,47.244215],[-68.664071,47.236762],[-68.619749,47.243218],[-68.595427,47.257698],[-68.59688,47.271731],[-68.578551,47.287551],[-68.553896,47.28225],[-68.517982,47.296092],[-68.474851,47.297534],[-68.448844,47.282547],[-68.378678,47.287561],[-68.376319,47.294257],[-68.384706,47.305094],[-68.380334,47.340242],[-68.355171,47.35707],[-68.329879,47.36023],[-68.303778,47.355524],[-68.284101,47.360389],[-68.265138,47.352543],[-68.234604,47.355035],[-68.214551,47.339637],[-68.15515,47.32542],[-68.152302,47.309878],[-68.137059,47.296068],[-68.082896,47.271921],[-68.074061,47.259764],[-68.019724,47.238036],[-67.991871,47.212042],[-67.955669,47.199542],[-67.935868,47.164843],[-67.893266,47.129943],[-67.881302,47.103913],[-67.790515,47.067921],[-67.781095,45.943032],[-67.777626,45.934207],[-67.750422,45.917898],[-67.763725,45.91043],[-67.767827,45.898568],[-67.803318,45.883718],[-67.803678,45.869379],[-67.796514,45.859961],[-67.755068,45.82367],[-67.780507,45.817622],[-67.801989,45.803546],[-67.806598,45.794723],[-67.806308,45.755405],[-67.793083,45.750559],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.803313,45.677886],[-67.768648,45.677581],[-67.754245,45.667791],[-67.720401,45.662522],[-67.71799,45.665243],[-67.73372,45.684233],[-67.734605,45.688987],[-67.729908,45.689012],[-67.710464,45.679372],[-67.675417,45.630959],[-67.64581,45.613597],[-67.640238,45.616178],[-67.644206,45.62322],[-67.639741,45.624771],[-67.606172,45.606533],[-67.499444,45.587014],[-67.488452,45.594643],[-67.491061,45.598917],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.425399,45.540795],[-67.432236,45.541023],[-67.435275,45.530781],[-67.432207,45.519996],[-67.416416,45.503515],[-67.462882,45.508691],[-67.470732,45.500067],[-67.503088,45.489688],[-67.499767,45.47805],[-67.482353,45.460825],[-67.484328,45.451955],[-67.473366,45.425328],[-67.430001,45.392965],[-67.418747,45.37726],[-67.434281,45.365438],[-67.427797,45.355471],[-67.434996,45.340133],[-67.456288,45.32644],[-67.452267,45.316839],[-67.460554,45.300379],[-67.466091,45.29416],[-67.485683,45.291433],[-67.489464,45.282653],[-67.46357,45.244097],[-67.453473,45.241127],[-67.43998,45.227047],[-67.428889,45.193213],[-67.407139,45.179425],[-67.404629,45.159926],[-67.383635,45.152259],[-67.345585,45.126392],[-67.294881,45.149666],[-67.302568,45.161348],[-67.291417,45.17145],[-67.290603,45.187589],[-67.283619,45.192022],[-67.246697,45.180765],[-67.242293,45.17224],[-67.227324,45.163652],[-67.203933,45.171407],[-67.157919,45.161004],[-67.112414,45.112323],[-67.090786,45.068721],[-67.105899,45.065786],[-67.117688,45.05673],[-67.082074,45.029608],[-67.068274,45.001014],[-67.05461,44.986764],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.975009,44.815495],[-66.952112,44.82007],[-66.950569,44.814539],[-66.961068,44.807269],[-66.979708,44.80736],[-67.02615,44.768199],[-67.04335,44.765071],[-67.05516,44.771442],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.128792,44.695421],[-67.139209,44.693849],[-67.155119,44.66944],[-67.169857,44.662105],[-67.186612,44.66265],[-67.192068,44.655515],[-67.189427,44.645533],[-67.234275,44.637201],[-67.251247,44.640825],[-67.274122,44.626345],[-67.27706,44.61795],[-67.273076,44.610873],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.310745,44.613212],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.307909,44.691295],[-67.300144,44.696752],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.381149,44.66947],[-67.367298,44.652472],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.492373,44.61795],[-67.493632,44.628863],[-67.505804,44.636837],[-67.522802,44.63306],[-67.530777,44.621938],[-67.543368,44.626554],[-67.551133,44.621938],[-67.575056,44.560659],[-67.562321,44.539435],[-67.568159,44.531117],[-67.648506,44.525403],[-67.660678,44.537575],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.742942,44.526453],[-67.753854,44.543661],[-67.774001,44.547438],[-67.779457,44.543661],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.845772,44.551636],[-67.843254,44.542822],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.868875,44.456881],[-67.851764,44.428695],[-67.855108,44.419434],[-67.868856,44.424672],[-67.878509,44.435585],[-67.887323,44.433066],[-67.899571,44.394078],[-67.913346,44.430128],[-67.926357,44.431807],[-67.931453,44.411848],[-67.955737,44.416278],[-67.961613,44.4125],[-67.961613,44.39907],[-67.978876,44.387034],[-67.985668,44.386917],[-68.000646,44.406624],[-68.010719,44.407464],[-68.019533,44.396971],[-68.01399,44.390255],[-68.034223,44.360456],[-68.044296,44.357938],[-68.043037,44.343667],[-68.049334,44.33073],[-68.067047,44.335692],[-68.076066,44.347925],[-68.077873,44.373047],[-68.086268,44.376405],[-68.092983,44.370949],[-68.11229,44.401588],[-68.119845,44.445658],[-68.117746,44.475038],[-68.150904,44.482383],[-68.17105,44.470211],[-68.194554,44.47189],[-68.189517,44.478605],[-68.192036,44.487419],[-68.213861,44.492456],[-68.223934,44.487],[-68.224354,44.464335],[-68.22939,44.463496],[-68.2445,44.471051],[-68.252474,44.483222],[-68.261708,44.484062],[-68.270522,44.459718],[-68.281015,44.451324],[-68.298223,44.449225],[-68.299063,44.437893],[-68.294865,44.432857],[-68.268423,44.440411],[-68.247438,44.433276],[-68.24366,44.420685],[-68.249956,44.414809],[-68.21554,44.390466],[-68.20354,44.392365],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.275139,44.288895],[-68.289409,44.283858],[-68.298223,44.276303],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.343132,44.229505],[-68.377982,44.247563],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.409027,44.32562],[-68.421619,44.336113],[-68.409867,44.356259],[-68.396552,44.363941],[-68.398035,44.376191],[-68.3581,44.392337],[-68.359082,44.402847],[-68.3791,44.430049],[-68.387678,44.430936],[-68.392559,44.41807],[-68.416412,44.397973],[-68.427874,44.3968],[-68.433901,44.401534],[-68.429648,44.439136],[-68.439281,44.448043],[-68.455095,44.447498],[-68.46382,44.436592],[-68.458849,44.412141],[-68.464106,44.398078],[-68.461072,44.378504],[-68.466109,44.377245],[-68.47828,44.378084],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.485415,44.434326],[-68.494649,44.429709],[-68.499686,44.414179],[-68.51452,44.41334],[-68.529905,44.39907],[-68.555088,44.403687],[-68.565161,44.39907],[-68.564741,44.385219],[-68.559285,44.374307],[-68.550051,44.371788],[-68.545434,44.355],[-68.563209,44.333039],[-68.566203,44.313007],[-68.556236,44.300819],[-68.538595,44.299902],[-68.531532,44.290388],[-68.528611,44.276117],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.550802,44.236534],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.825419,44.334547],[-68.814811,44.362194],[-68.821767,44.40894],[-68.815325,44.42808],[-68.801634,44.434803],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.931934,44.43869],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.978815,44.38634],[-68.961111,44.375076],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.079835,44.160953],[-69.075667,44.129991],[-69.080331,44.117824],[-69.100863,44.104529],[-69.101107,44.093601],[-69.092,44.085734],[-69.050814,44.094888],[-69.031878,44.079036],[-69.048917,44.062506],[-69.056093,44.06949],[-69.067876,44.067596],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.193805,43.975543],[-69.19633,43.950504],[-69.203668,43.941806],[-69.259838,43.921427],[-69.267515,43.943667],[-69.280498,43.95744],[-69.31427,43.942951],[-69.319751,43.94487],[-69.304301,43.962068],[-69.331411,43.974311],[-69.351961,43.974748],[-69.366702,43.964755],[-69.388059,43.96434],[-69.398455,43.971804],[-69.421072,43.938261],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.513267,43.84479],[-69.520301,43.868498],[-69.524673,43.875639],[-69.543912,43.881615],[-69.54945,43.880012],[-69.545028,43.861241],[-69.552606,43.841347],[-69.572697,43.844012],[-69.578527,43.823316],[-69.588551,43.81836],[-69.604179,43.813551],[-69.604616,43.825793],[-69.592373,43.830895],[-69.589167,43.851299],[-69.594705,43.858878],[-69.604616,43.858004],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.664922,43.791033],[-69.685579,43.820546],[-69.705838,43.823024],[-69.714873,43.810264],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.855081,43.704746],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.884066,43.778035],[-69.903164,43.77239],[-69.927011,43.780174],[-69.948539,43.765948],[-69.958056,43.767786],[-69.982574,43.750801],[-69.992615,43.724793],[-70.001645,43.717666],[-70.006954,43.717065],[-69.998793,43.740385],[-70.001708,43.744466],[-70.041351,43.738053],[-70.034355,43.759041],[-69.99821,43.798684],[-70.002874,43.812093],[-70.011035,43.810927],[-70.026193,43.822587],[-70.023278,43.834247],[-70.002874,43.848239],[-70.009869,43.859315],[-70.019197,43.858733],[-70.064671,43.813259],[-70.06642,43.819672],[-70.080995,43.819672],[-70.107229,43.809178],[-70.142792,43.791688],[-70.153869,43.781194],[-70.153869,43.774781],[-70.176023,43.76079],[-70.17544,43.777113],[-70.190014,43.771866],[-70.197593,43.753211],[-70.194678,43.742134],[-70.217998,43.71998],[-70.216832,43.704822],[-70.23199,43.704822],[-70.251812,43.683251],[-70.254144,43.676839],[-70.242289,43.669544],[-70.240987,43.659132],[-70.211204,43.625765],[-70.217087,43.596717],[-70.214369,43.590445],[-70.20112,43.586515],[-70.196911,43.565146],[-70.206123,43.557627],[-70.231963,43.561118],[-70.244331,43.551849],[-70.261917,43.553687],[-70.272497,43.562616],[-70.307764,43.544315],[-70.353392,43.535405]]]]},\"properties\":{\"name\":\"Maine\",\"nation\":\"USA \"}}]}","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
11649 Leetown Road
Kearneysville, WV 25430
Population estimates are often required for identifying relationships between predators and their prey and to inform conservation and management actions. The random encounter model (REM) estimates population density of wildlife lacking individually unique markings, based on photographs or videos from remote camera-traps. However, the REM has strict sampling and input requirements that can be problematic, particularly for predators and other species which use landscapes non-randomly. Using data from a predator and its co-occurring prey, we found that placing cameras to target the predator, which may be implemented to achieve minimum sample sizes, inflated both predator and prey density estimates. Further, borrowing movement velocity (day range) values from other studies, species, or time periods caused substantial changes in density estimates. A comprehensive literature review revealed that 91% of REM density estimates in published predator–prey studies used data from non-random cameras or borrowed movement velocities and therefore did not satisfy REM requirements. Consequently, most REM density estimates from predator–prey ecology studies are likely not of the quality or reliability necessary for informing effective wildlife conservation or management.
","language":"English","publisher":"MDPI","doi":"10.3390/ani14233361","usgsCitation":"Murphy, S.M., Nolan, B., Chen, F., Longshore, K., Simes, M., Berr, G.A., and Esque, T., 2024, Most random-encounter-model density estimates in camera-based predator-prey studies are unreliable: Animals, v. 14, no. 23, 3361, 24 p., https://doi.org/10.3390/ani14233361.","productDescription":"3361, 24 p.","ipdsId":"IP-161802","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani14233361","text":"Publisher Index Page"},{"id":481261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Boulder City","otherGeospatial":"Boulder City Conservation Easement","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.22729018400342,\n 35.97057404887106\n ],\n [\n -115.22729018400342,\n 35.82849801220463\n ],\n [\n -114.84083854402814,\n 35.82849801220463\n ],\n [\n -114.84083854402814,\n 35.97057404887106\n ],\n [\n -115.22729018400342,\n 35.97057404887106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Sean M. 0000-0002-9404-8878","orcid":"https://orcid.org/0000-0002-9404-8878","contributorId":346967,"corporation":false,"usgs":true,"family":"Murphy","given":"Sean","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nolan, Benjamin S.","contributorId":347691,"corporation":false,"usgs":false,"family":"Nolan","given":"Benjamin S.","affiliations":[],"preferred":false,"id":925094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Felicia 0000-0002-7408-5946","orcid":"https://orcid.org/0000-0002-7408-5946","contributorId":210469,"corporation":false,"usgs":true,"family":"Chen","given":"Felicia","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Longshore, Kathleen 0000-0001-6621-1271","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":216374,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simes, Matthew T.","contributorId":349895,"corporation":false,"usgs":false,"family":"Simes","given":"Matthew T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":925097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berr, Gabrielle A. 0009-0004-1531-7761","orcid":"https://orcid.org/0009-0004-1531-7761","contributorId":333759,"corporation":false,"usgs":false,"family":"Berr","given":"Gabrielle","email":"","middleInitial":"A.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":925098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":925099,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70270927,"text":"70270927 - 2024 - Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.","interactions":[],"lastModifiedDate":"2025-08-27T15:34:26.143803","indexId":"70270927","displayToPublicDate":"2024-11-22T00:00:00","publicationYear":"2024","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":"Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.","docAbstract":"Shallow shear‐wave velocities (Vs) sometimes are estimated from joint inversions of horizontal‐to‐vertical (H/V) spectral ratios and surface‐wave dispersion curves derived from ambient noise or small active sources. Here, we evaluate carrying out these inversions using Rayleigh‐wave dispersion curves computed from crustal‐scale P‐wave seismic refraction data. We use data from the 2014–2015 Eastern North American Margin (ENAM) experiment in Virginia and North Carolina, but similar seismic refraction data sets have been acquired over sedimentary basins of interest for seismic hazard studies, including in major urban areas. The ENAM project deployed a pair of ∼215 km long, northwest–southeast linear arrays with ∼300 m receiver spacing to record 11 dynamite shots, and 80 continuously recording seismometers with 5–6 km spacing along the same arrays to record offshore airguns. The arrays crossed the onland portion of the Atlantic Coastal Plain sediments, which are a seaward‐thickening wedge of Cretaceous and younger sediments deposited mostly on crystalline bedrock. We compute Rayleigh‐wave dispersion curves from 3 to 9 km long portions of the receiver arrays on each side of the dynamite shots, and we compute ambient‐noise H/V ratios from the continuously recording seismometers. We use a genetic inversion algorithm in which forward velocity models in each “generation” are evaluated for misfits compared to the observed data, with subsequent generations constructed from the models with the smallest misfits. Velocities to depths of 500 m are defined well, as shown by a narrow range of velocities in the best‐fit models, by the consistency between multiple inversion runs at a site, and by forward modeling of site responses. The resulting velocity cross‐section of the Coastal Plain strata has seaward‐dipping contours in the thinner portions of the Coastal Plain but smaller dips in the deeper portions. We interpret these results as showing that velocity contours in the ACP strata are influenced by a combination of lithology and overburden pressure. Results demonstrate that existing seismic refraction data have the potential for determining detailed shallow shear‐wave velocity profiles.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230241","usgsCitation":"Pratt, T., Parolai, S., Poggi, V., and Dreossi, I., 2024, Using crustal-scale refraction data of joint inversions of Rayleigh-wave dispersion curves and H/V spectral ratios for Atlantic Coastal Plain velocity structure, eastern U.S.: Bulletin of the Seismological Society of America, v. 115, no. 1, p. 270-295, https://doi.org/10.1785/0120230241.","productDescription":"26 p.","startPage":"270","endPage":"295","ipdsId":"IP-167122","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.88300039003173,\n 39.731394919591565\n ],\n [\n -90.88300039003173,\n 24.876206992183768\n ],\n [\n -74.40455609054004,\n 24.876206992183768\n ],\n [\n -74.40455609054004,\n 39.731394919591565\n ],\n [\n -90.88300039003173,\n 39.731394919591565\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":201084,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":947394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parolai, Stefano 0000-0002-9084-7488","orcid":"https://orcid.org/0000-0002-9084-7488","contributorId":296105,"corporation":false,"usgs":false,"family":"Parolai","given":"Stefano","email":"","affiliations":[{"id":63989,"text":"Instituto Nazionale di Oceonografia","active":true,"usgs":false}],"preferred":false,"id":947395,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poggi, Valerio","contributorId":360682,"corporation":false,"usgs":false,"family":"Poggi","given":"Valerio","affiliations":[{"id":86081,"text":"Trieste, Italy","active":true,"usgs":false}],"preferred":false,"id":947396,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreossi, Ilaria","contributorId":296107,"corporation":false,"usgs":false,"family":"Dreossi","given":"Ilaria","email":"","affiliations":[{"id":63991,"text":"National Institute of Oceanography and Applied Geophysics – OGS, Udine, Italy","active":true,"usgs":false}],"preferred":false,"id":947397,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261070,"text":"cir1544 - 2024 - U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33","interactions":[],"lastModifiedDate":"2024-12-02T19:00:36.118426","indexId":"cir1544","displayToPublicDate":"2024-11-21T15:57:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1544","displayTitle":"U.S. Geological Survey Earthquake Hazards Program Decadal Science Strategy, 2024–33","title":"U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33","docAbstract":"Earthquakes represent one of our Nation’s most significant and costly natural hazards, with estimated annual loses from earthquakes close to $15 billion in 2023. Over the past two centuries, 37 U.S. States have experienced an earthquake exceeding a magnitude of 5, and 50 percent of States have a significant potential for future damaging shaking; these statistics speak to the need for nationwide interest and investment in earthquake hazard characterization and risk reduction.
Authorized under the Earthquake Hazards Reduction Authorization Act, the U.S. Geological Survey (USGS) Earthquake Hazards Program (EHP) provides the scientific information, situational awareness, and knowledge necessary to reduce deaths, injuries, and economic losses from earthquakes and earthquake-induced tsunamis, landslides, and soil liquefaction. The EHP supports activities in three focused topical areas: (1) earthquake monitoring, (2) hazard assessment, and (3) applied research, using the results of each—and the coordination among them—to further support risk translation and communication in regions at risk nationwide.
For earthquake monitoring, the Advanced National Seismic System (ANSS), a cooperative effort of USGS networks, university partner regional seismic networks, and real-time geodetic networks, collects and analyzes data on earthquakes; issues timely, reliable notifications of their occurrence and impacts; and provides data for earthquake research, hazard, and risk assessment as a foundation for building an earthquake-resilient Nation. The USGS-operated ShakeAlert Earthquake Early Warning system is a recent addition to EHP’s ANSS infrastructure.
In the realm of earthquake hazard assessment, the EHP contributes to earthquake risk mitigation strategies by developing the National Seismic Hazard Model and maps, and other related products, that describe the likelihood and potential effects of earthquakes nationwide, especially in the urban areas of highest risk. The EHP also conducts research on the causes, characteristics, and effects of earthquakes and prioritizes work that directly increases the accuracy and precision of earthquake hazards assessments, earthquake forecasts, and earthquake monitoring and situational-awareness products and that supports the Nation’s earthquake mitigation practices.
Bridging the EHP’s efforts across research, hazard assessments, and earthquake monitoring is a broad and comprehensive collection of earthquake information products, including the National Seismic Hazard Model, ShakeAlert, and other products describing impact, such as ShakeMap and PAGER (Prompt Assessment of Global Earthquakes for Response), which have been developed and integrated into EHP’s real-time monitoring systems.
EHP funds external partners to carry out many important collaborative activities through an active external grants program—one of the largest in the USGS—and through cooperative agreements with other partners such as the university-operated regional seismic networks, funded as part of the ANSS.
To continue its support of earthquake hazard characterization and risk reduction, the EHP aims to strengthen its foundational products and practices while positioning itself to respond to the evolving needs of the Nation and follow best practices of the scientific community. This document describes a strategy for the program to ensure it can meet these demands. The foundational priorities outlined in this strategy represent those activities that remain critical to the core functionality of the program and those that can be supported under current fiscal year 2024-level appropriations. Priorities described as aspirational are important for future growth, and to maintain the program’s position as a leading global resource in earthquake science, but would require increases in appropriated funding to be fully realized.
Across the program’s portfolio of activities, several major themes have been identified as the most critical activities to advance EHP science over the coming decade. Together, these activities provide the framework necessary to integrate critical hazard characterization and risk reduction activities across the program. They provide the structure for research to advance the understanding of where, when, and why earthquakes occur and how we can use improved knowledge to drive short-term and actionable forecasts of seismic activity. They expand the usefulness of critical earthquake products and advance the sophistication of those products to keep pace with the rapidly evolving needs of an ever-expanding user base while maintaining the position of the USGS as a global leader in earthquake science.
This science strategy is organized into three primary sections. The first section provides an overview of the EHP and its budget, governance, and program council. Readers familiar with the program may wish to focus on the second section, which describes the core of the science strategy, including priorities across each of the EHP’s major program activities in monitoring, hazard assessment, and targeted research. The third section outlines science priorities that cut across program activities, including those involving collaborations external to the EHP.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1544","usgsCitation":"Hayes, G.P., Baltay Sundstrom, A.S., Barnhart, W.D., Blanpied, M.L., Davis, L.A., Earle, P.S., Field, N., Franks, J.M., Given, D.D., Gold, R.D., Goulet, C.A., Guy, M.M., Hardebeck, J.L., Luco, N., Pollitz, F., Ringler, A.T., Scharer, K.M., Sobieszczyk, S., Thomas, V.I., and Wolfe, C.J., 2024, U.S. Geological Survey Earthquake Hazards Program decadal science strategy, 2024–33: U.S. Geological Survey Circular 1544, 55 p., https://doi.org/10.3133/cir1544.","productDescription":"ix, 55 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160564","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":464394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1544/coverthb.jpg"},{"id":464395,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1544/cir1544.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1544"},{"id":464396,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1544/cir1544.XML"},{"id":464397,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1544/images/"}],"country":"United States","otherGeospatial":"American Samoa, Guam, Northern Marianas Islands, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 18.020527657852337\n ],\n [\n -66.2255859375,\n 17.916022703877665\n ],\n [\n -65.6103515625,\n 17.97873309555617\n ],\n [\n -65.2587890625,\n 18.124970639386515\n ],\n [\n -65.5224609375,\n 18.458768120015126\n ],\n [\n -66.11572265625,\n 18.542116654448996\n ],\n [\n -66.95068359374999,\n 18.60460138845525\n ],\n [\n -67.34619140625,\n 18.542116654448996\n ],\n [\n -67.2802734375,\n 17.99963161491187\n ],\n [\n -67.060546875,\n 18.020527657852337\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.8872311207862,\n 17.67294810828757\n ],\n [\n -64.68029856507212,\n 17.69104643588736\n ],\n [\n -64.5615190647888,\n 17.75675208240014\n ],\n [\n -64.78260571992536,\n 17.78617316409091\n ],\n [\n -64.88948745944919,\n 17.772557227603954\n ],\n [\n -64.8872311207862,\n 17.67294810828757\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.69066512347321,\n 18.29283983419502\n ],\n [\n -64.65843206339639,\n 18.348959682284672\n ],\n [\n -64.76131759031026,\n 18.381006718264686\n ],\n [\n -64.91939759780536,\n 18.42033271711287\n ],\n [\n -65.0783643673694,\n 18.384660530467613\n ],\n [\n -65.07683267037741,\n 18.32418104566139\n ],\n [\n -64.90485987551145,\n 18.274616850179783\n ],\n [\n -64.7236774584968,\n 18.276073603005912\n ],\n [\n -64.69066512347321,\n 18.29283983419502\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.6903082814727,\n 13.216887232163216\n ],\n [\n 144.8218312634047,\n 13.331183932263173\n ],\n [\n 144.82183088988387,\n 13.42714603109279\n ],\n [\n 145.00502280843574,\n 13.605263578414068\n ],\n [\n 144.8359319910332,\n 13.673773781367544\n ],\n [\n 144.58697599049185,\n 13.44543207485772\n ],\n [\n 144.62454755157228,\n 13.29004248212145\n ],\n [\n 144.6903082814727,\n 13.216887232163216\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 145.53313696087218,\n 14.820338227177203\n ],\n [\n 145.67823654367663,\n 14.914460447120035\n ],\n [\n 145.84718600675058,\n 15.29209065246775\n ],\n [\n 145.79025296477647,\n 15.308027767578949\n ],\n [\n 145.63781536347562,\n 15.153865558275115\n ],\n [\n 145.56620092968052,\n 15.017331994169098\n ],\n [\n 145.51844519702968,\n 14.836318270190532\n ],\n [\n 145.53313696087218,\n 14.820338227177203\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.53713260276658,\n -14.25816855895225\n ],\n [\n -170.57678717660286,\n -14.230543115472017\n ],\n [\n -170.724205015216,\n -14.236568958785142\n ],\n [\n -170.86304363148403,\n -14.323014984371042\n ],\n [\n -170.73912308824544,\n -14.40104601366366\n ],\n [\n -170.51978372671317,\n -14.280987025054927\n ],\n [\n -170.53713260276658,\n -14.25816855895225\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.69574623978505,\n -14.160901210026125\n ],\n [\n -169.6767733531298,\n -14.187114106707227\n ],\n [\n -169.4801797767119,\n -14.279579145642316\n ],\n [\n -169.41361722385795,\n -14.255421542030064\n ],\n [\n -169.41631878212553,\n -14.20465647090964\n ],\n [\n -169.61508676747098,\n -14.152056036288698\n ],\n [\n -169.68518132670442,\n -14.15391999197901\n ],\n [\n -169.69574623978505,\n -14.160901210026125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Senior Science Advisor for Earthquake and Geologic Hazards, Earthquake Hazards Program
U.S. Geological Survey
Mail Stop 905
12201 Sunrise Valley Drive
Reston, VA 20192
We assessed amphibian diversity, rarity, and threats across the National Park System (U.S.A.), which covers 3.5% of the country and 12% of federal lands. At least 230 of 354 (65%) amphibian species documented in the country occur on National Park Service lands. Of species in parks, 17% are at-risk globally and 20% are uncategorized, reflecting still-widespread data deficiencies. National parks in the Northwest and Northeast had the steepest species‒area relationships. Non-native crayfishes and amphibians occur within 50 km of 60% and 25% of parks, respectively, illustrating the broad threat of non-native predators. Projected mid-century (2040–2069) changes in climatic water deficit, based on 25 climate futures, produced an expected 34% increase in dryness across all national parks in the conterminous U.S.A. Our analyses highlight the extent and regional differences in current and future threats and reveal gaps in species protection, but also reveal opportunities for targeted expansion and active management.
","language":"English","publisher":"Nature","doi":"10.1038/s44185-024-00067-1","usgsCitation":"LaFrance, B., Ray, A.M., Tercek, M.T., Fisher, R., and Hossack, B., 2024, Amphibian richness, rarity, threats, and conservation prospects across the U.S. National Park System: npj Biodiversity, v. 3, 35, 9 p., https://doi.org/10.1038/s44185-024-00067-1.","productDescription":"35, 9 p.","ipdsId":"IP-171541","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466749,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44185-024-00067-1","text":"Publisher Index Page"},{"id":465578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 18.020527657852337\n ],\n [\n -66.2255859375,\n 17.916022703877665\n ],\n [\n -65.6103515625,\n 17.97873309555617\n ],\n [\n -65.2587890625,\n 18.124970639386515\n ],\n [\n -65.5224609375,\n 18.458768120015126\n ],\n [\n -66.11572265625,\n 18.542116654448996\n ],\n [\n -66.95068359374999,\n 18.60460138845525\n ],\n [\n -67.34619140625,\n 18.542116654448996\n ],\n [\n -67.2802734375,\n 17.99963161491187\n ],\n [\n -67.060546875,\n 18.020527657852337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"LaFrance, Benjamin J.","contributorId":347665,"corporation":false,"usgs":false,"family":"LaFrance","given":"Benjamin J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":922116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":167601,"corporation":false,"usgs":false,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":5106,"text":"National Park Service, Yellowstone National Park, Mammoth, Wyoming 82190","active":true,"usgs":false}],"preferred":false,"id":922117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tercek, Michael T.","contributorId":197257,"corporation":false,"usgs":false,"family":"Tercek","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":922118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":922120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257520,"text":"70257520 - 2024 - Comparing microbiological and molecular diagnostic tools for the surveillance of anthrax","interactions":[],"lastModifiedDate":"2024-12-27T16:47:19.4902","indexId":"70257520","displayToPublicDate":"2024-11-21T10:39:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Comparing microbiological and molecular diagnostic tools for the surveillance of anthrax","docAbstract":"The diagnosis of anthrax, a zoonotic disease caused by Bacillus anthracis can be complicated by detection of closely related species. Conventional diagnosis of anthrax involves microscopy, culture identification of bacterial colonies and molecular detection. Genetic markers used are often virulence gene targets such as B. anthracis protective antigen (pagA, also called BAPA, occurring on plasmid pXO1), lethal factor (lef, on pXO1), capsule-encoding capB/C (located on pXO2) as well as chromosomal Ba-1. Combinations of genetic markers using real-time/quantitative polymerase chain reaction (qPCR) are used to confirm B. anthracis from culture but can also be used directly on diagnostic samples to avoid propagation and its associated biorisks and for faster identification. We investigated how the presence of closely related species could complicate anthrax diagnoses with and without culture to standardise the use of genetic markers using qPCR for accurate anthrax diagnosis. Using blood smears from 2012–2020 from wildlife mortalities (n = 1708) in Kruger National Park in South Africa where anthrax is endemic, we contrasted anthrax diagnostic results based on qPCR, microscopy, and culture. From smears, 113/1708 grew bacteria in culture, from which 506 isolates were obtained. Of these isolates, only 24.7% (125 isolates) were positive for B. anthracis based on genetic markers or microscopy. However, among these, merely 4/125 (3.2%) were confirmed B. anthracis isolates (based on morphology, microscopy, and sensitivity testing to penicillin and gamma-phage) from the blood smear, likely due to poor survival of spores on stored smears. This study identified B. cereus sensu lato, which included B. cereus and B. anthracis, Peribacillus spp., and Priestia spp. clusters using gyrB gene in selected bacterial isolates positive for pagA region using BAPA probe. Using qPCR on blood smears, 52.1% (890 samples) tested positive for B. anthracis based on one or a combination of genetic markers which included the 25 positive controls. Notably, the standard lef primer set displayed the lowest specificity and accuracy. The Ba-1+BAPA+lef combination showed 100% specificity, sensitivity, and accuracy. Various marker combinations, such as Ba-1+capB, BAPA+capB, Ba-1+BAPA+capB+lef, and BAPA+lef+capB, all demonstrated 100.0% specificity and 98.7% accuracy, while maintaining a sensitivity of 96.6%. Using Ba-1+BAPA+lef+capB, as well as Ba-1+BAPA+lef with molecular diagnosis accurately detects B. anthracis in the absence of bacterial culture. Systematically combining microscopy and molecular markers holds promise for notably reducing false positives. This significantly enhances the detection and surveillance of diseases like anthrax in southern Africa and beyond and reduces the need for propagation of the bacteria in culture.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pntd.0012122","usgsCitation":"Ochai, S.O., Hassim, A., Dekker, E., Magome, T., Lekota, K., Makgabo, S., de Klerk‑Loris, L., van Schalkwyk, O., Kamath, P., Turner, W.C., and van Heerden, H., 2024, Comparing microbiological and molecular diagnostic tools for the surveillance of anthrax: PLoS Neglected Tropical Diseases, v. 18, no. 11, e0012122, 24 p., https://doi.org/10.1371/journal.pntd.0012122.","productDescription":"e0012122, 24 p.","ipdsId":"IP-156613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0012122","text":"Publisher Index Page"},{"id":465488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochai, Sunday O.","contributorId":342466,"corporation":false,"usgs":false,"family":"Ochai","given":"Sunday","email":"","middleInitial":"O.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hassim, Ayesha","contributorId":343065,"corporation":false,"usgs":false,"family":"Hassim","given":"Ayesha","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dekker, Edgar H.","contributorId":343067,"corporation":false,"usgs":false,"family":"Dekker","given":"Edgar H.","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":910603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magome, Thuto","contributorId":343070,"corporation":false,"usgs":false,"family":"Magome","given":"Thuto","affiliations":[{"id":81973,"text":"North West University","active":true,"usgs":false}],"preferred":false,"id":910604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lekota, Kgaugelo E.","contributorId":343072,"corporation":false,"usgs":false,"family":"Lekota","given":"Kgaugelo E.","affiliations":[{"id":81973,"text":"North West University","active":true,"usgs":false}],"preferred":false,"id":910605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makgabo, S. Marcus","contributorId":343073,"corporation":false,"usgs":false,"family":"Makgabo","given":"S. Marcus","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"de Klerk‑Loris, Lin‑Mari","contributorId":343074,"corporation":false,"usgs":false,"family":"de Klerk‑Loris","given":"Lin‑Mari","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":910607,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"van Schalkwyk, O. Louis","contributorId":343075,"corporation":false,"usgs":false,"family":"van Schalkwyk","given":"O. Louis","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910608,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kamath, Pauline L.","contributorId":287148,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":910609,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910610,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van Heerden, Henriette","contributorId":343077,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910611,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70261120,"text":"70261120 - 2024 - Database of surface water diversion sites and daily withdrawals for the upper Colorado River Basin, 1980–2022","interactions":[],"lastModifiedDate":"2024-11-25T15:29:35.758148","indexId":"70261120","displayToPublicDate":"2024-11-21T08:23:12","publicationYear":"2024","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":"Database of surface water diversion sites and daily withdrawals for the upper Colorado River Basin, 1980–2022","docAbstract":"The Colorado River drains about 8% of the conterminous United States, provides water for 40 million people, and is one of the most overallocated rivers in the world. As the upper Colorado River Basin (UCOL) contributes an estimated 92% of the total basin natural streamflow, knowledge of the location and amount of surface water withdrawals in the UCOL is important for managing the Colorado River system. Since the UCOL encompasses portions of five states, water use data are dispersed among numerous federal and state agency databases, and there is no centralized dataset that documents surface water use within the entire UCOL at a fine spatial and temporal resolution. This article presents an inventory of 1,358 major structures that divert surface water from and within the UCOL with corresponding daily time series withdrawal records from 1980 through 2022. Data compilation efforts, processing methods, and contents of this diversion database are documented, and summary information is provided.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-024-04123-0","usgsCitation":"Lopez, S.F., Knight, J., Tillman, F.D., Masbruch, M.D., Wise, D., Jones, C.J., and Miller, M., 2024, Database of surface water diversion sites and daily withdrawals for the upper Colorado River Basin, 1980–2022: Scientific Data, v. 11, 1266, 10 p., https://doi.org/10.1038/s41597-024-04123-0.","productDescription":"1266, 10 p.","ipdsId":"IP-168039","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":466751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-024-04123-0","text":"Publisher Index Page"},{"id":464464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.23653442041727,\n 45.094514943023796\n ],\n [\n -110.23653442041727,\n 32.70061306772341\n ],\n [\n -106.92766646541669,\n 32.70061306772341\n ],\n [\n -106.92766646541669,\n 45.094514943023796\n ],\n [\n -110.23653442041727,\n 45.094514943023796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Daniel R. 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919359,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}