Western Burrowing Owls (Athene cunicularia hypugaea; hereafter, Burrowing Owls) were once widespread residents of grasslands throughout western North America, but their range has contracted, and abundance has declined in some regions. The causes of declines and geographic variation in population trends of Burrowing Owls are unclear but may be linked to changing land use and urbanization. Burrowing Owls are often found in association with airfields and airports, and their presence at such facilities is sometimes considered to be in conflict with those operations. Documenting the long-term persistence of Burrowing Owls at active airfields can help airfield managers who face decisions regarding compatibility of owls and airfield operations. We report the results of a long-term effort to monitor Burrowing Owls on Kirtland Air Force Base in New Mexico, USA, including the rapid recovery of Burrowing Owl numbers from near-extirpation and the relationships between abundance and other demographic traits. The number of breeding pairs of Burrowing Owls increased from one pair in 2013 to 28 pairs in 2019 and 2020, and the number of fledglings produced increased from one in 2013 to 84 in 2019 and 61 in 2020. The recovery was not uniform across all areas of Kirtland Air Force Base, and some formerly occupied areas remained unoccupied. We documented dispersal outside the Air Force base boundary and that the number of breeding pairs was more strongly influenced by the number of offspring produced in the prior year than the number of owls returning from prior years, which indicated that the population is part of a larger meta-population. Our results demonstrate that the maintenance of Burrowing Owl populations is not necessarily at odds with safe airfield operations, that Burrowing Owls exhibit complex population dynamics, and can rapidly recolonize previously occupied areas if habitat and nest sites remain suitable.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/0892-1016-55.2.241","usgsCitation":"Lundblad, C., Conway, C.J., Cruz-McDonnell, K., Doublet, D., Desmond, M.J., Navis, C., and Ongman, K., 2021, Long-term population fluctuations of a Burrowing Owl population on Kirtland Air Force Base, New Mexico, USA: Journal of Raptor Research, v. 55, no. 2, p. 241-254, https://doi.org/10.3356/0892-1016-55.2.241.","productDescription":"14 p.","startPage":"241","endPage":"254","ipdsId":"IP-115742","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Kirtland Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.61407470703125,\n 34.9501163530137\n ],\n [\n -106.35314941406249,\n 34.9501163530137\n ],\n [\n -106.35314941406249,\n 35.08\n ],\n [\n -106.61407470703125,\n 35.08\n ],\n [\n -106.61407470703125,\n 34.9501163530137\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lundblad, Carl G.","contributorId":265812,"corporation":false,"usgs":false,"family":"Lundblad","given":"Carl G.","affiliations":[{"id":27205,"text":"U. 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The primary cause appears to be the ascent of invasive mosquitoes and Plasmodium relictum, the agent of avian malaria, into elevations formerly free of introduced malarial parasites and their vectors. Given that these declines in native bird populations appear to be continuing, last resort measures to save these species from extinction, such as conservation breeding, are being implemented. Using 200–1439 SNPs from across the genome, we assessed kinship among individuals, levels of genetic variation, and extent of population decline in wild birds of the two most critically endangered Kaua‘i endemic species, the ‘akikiki (Oreomystis bairdi) and ‘akeke‘e (Loxops caeruleirostris). We found relatively high genomic diversity within individuals and little evidence of spatial population genetic structure. Populations displayed genomic signatures of declining population size, but individual inbreeding coefficients were universally negative, likely indicating inbreeding avoidance. Diversity within the founding conservation breeding population largely mirrored that in the wild, indicating that genetic variation in the conservation breeding population is representative of the wild population and suggesting that the current breeding program captures existing variation. Thus, although existing genetic diversity is likely lower than in historical populations, contemporary variation has been retained through high gene flow and inbreeding avoidance. Nonetheless, current effective population size for both species was estimated at fewer than 20 individuals, highlighting the urgency of management actions to protect these species.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-021-01382-x","usgsCitation":"Cassin-Sackett, L., Campana, M.G., McInerney, N., Lim, H.C., Przelomska, N., Masuda, B., Chesser, R., Paxton, E.H., Foster, J.T., Crampton, L.H., and Fleischer, R., 2021, Genetic structure and population history in two critically endangered Kaua‘i honeycreepers: Conservation Genetics, v. 22, no. 4, p. 601-614, https://doi.org/10.1007/s10592-021-01382-x.","productDescription":"14 p.","startPage":"601","endPage":"614","ipdsId":"IP-124404","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":393745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaua'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -159.80575561523438,\n 21.823257624833815\n ],\n [\n -159.23858642578125,\n 21.823257624833815\n ],\n [\n -159.23858642578125,\n 22.272576585413475\n ],\n [\n -159.80575561523438,\n 22.272576585413475\n ],\n [\n -159.80575561523438,\n 21.823257624833815\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cassin-Sackett, Loren","contributorId":258061,"corporation":false,"usgs":false,"family":"Cassin-Sackett","given":"Loren","email":"","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":829810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campana, Michael G.","contributorId":258060,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":829811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McInerney, Nancy","contributorId":270714,"corporation":false,"usgs":false,"family":"McInerney","given":"Nancy","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":829812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lim, Haw Chuan","contributorId":203368,"corporation":false,"usgs":false,"family":"Lim","given":"Haw","email":"","middleInitial":"Chuan","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":829813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Przelomska, Natalia","contributorId":270715,"corporation":false,"usgs":false,"family":"Przelomska","given":"Natalia","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":829814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Masuda, Bryce","contributorId":255354,"corporation":false,"usgs":false,"family":"Masuda","given":"Bryce","affiliations":[{"id":38792,"text":"San Diego Zoo Global","active":true,"usgs":false}],"preferred":false,"id":829815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. 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Systems thinking can inform their management by quantifying the impacts that they face. We apply systems thinking to the Northern Gulf of Mexico (NGM) loggerhead (Caretta caretta) Recovery Unit (RU), one of the smallest subpopulations of loggerheads nesting in the USA. We characterized disturbances to nests, management actions, and hatchling production across 12 nesting beaches used by this RU to explore how hatchling production would increase if disturbances were mitigated. Annual hatchling production at sites ranged from 470 to 18,191 hatchlings/year. Washovers (19.3% nests/year), washouts (17.9% nests/year), and predation (13% nests/year) were the most common annual disturbances across sites. Focusing on the most impactful disturbances at just five sites could increase annual NGM RU hatchling production by 2.2–6.7%. Efforts to mitigate washovers and washouts are ongoing in Alabama, but these may be futile against tropical cyclones, which accounted for >80% of washouts in the present study, and further require careful examination of associated adverse side-effects. Efforts to mitigate predation are common throughout this RU, but require improved knowledge of predator ecology to reach full potential. Systems thinking allowed us to create a simple model for assessing disturbances and management strategies in terms of hatchling sea turtles. This model can be augmented to run dynamic simulations of how disturbances and management actions impact hatchling production, and can be applied to other species with similar reproductive strategies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109201","usgsCitation":"Silver-Gorges, I., Ceriani, S.A., Ware, M., Lamb, M., Lamont, M., Becker, J., Carthy, R., Matechik, C., Mitchell, J.C., Pruner, R., Reynolds, M., Smith, B., Snyder, C., and Fuentes, M., 2021, Using systems thinking to inform management of imperiled species: A case study with sea turtles: Biological Conservation, v. 260, 109201, 9 p., https://doi.org/10.1016/j.biocon.2021.109201.","productDescription":"109201, 9 p.","ipdsId":"IP-124524","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":387226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": 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University","active":true,"usgs":false}],"preferred":false,"id":819423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ceriani, Simona A.","contributorId":224398,"corporation":false,"usgs":false,"family":"Ceriani","given":"Simona","email":"","middleInitial":"A.","affiliations":[{"id":40873,"text":"Florida Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":819424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ware, Matthew","contributorId":209802,"corporation":false,"usgs":false,"family":"Ware","given":"Matthew","email":"","affiliations":[{"id":37980,"text":"Marine Turtle Research, Ecology and Conservation Group, Florida State University, Tallahassee, FL, USA 32306","active":true,"usgs":false}],"preferred":false,"id":819425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Megan","contributorId":261180,"corporation":false,"usgs":false,"family":"Lamb","given":"Megan","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819426,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":819427,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Becker, Janice","contributorId":261182,"corporation":false,"usgs":false,"family":"Becker","given":"Janice","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental 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Bradley","contributorId":244348,"corporation":false,"usgs":false,"family":"Smith","given":"Bradley","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":819434,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Snyder, Caitlyn","contributorId":261186,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlyn","email":"","affiliations":[{"id":52763,"text":"Florida Department of Environmental Protection","active":true,"usgs":false}],"preferred":false,"id":819435,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fuentes, Mariana M. P. B.","contributorId":261187,"corporation":false,"usgs":false,"family":"Fuentes","given":"Mariana M. P. B.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":819436,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70222512,"text":"70222512 - 2021 - Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","interactions":[],"lastModifiedDate":"2021-08-03T12:03:58.961776","indexId":"70222512","displayToPublicDate":"2021-06-08T09:08:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments","docAbstract":"Watershed land cover affects in-stream water quality and sediment nutrient dynamics. The presence of natural land cover in the riparian zone can reduce the negative effects of agricultural land use on water quality; however, literature evaluating the effects of natural riparian land cover on stream sediment nutrient dynamics is scarce. The objective of this study was to assess if stream sediment phosphorus retention and nitrogen removal varies with riparian forest cover in agricultural watersheds. Stream sediment nutrient dynamics from 28 sites with mixed land cover were sampled three times during the growing season. Phosphorus dynamics and nitrification rates did not change considerably throughout the study period. Sediment total phosphorus concentrations and nitrification rates decreased as riparian forest cover increased likely due to a decline in fine, organic material. Denitrification rates were strongly correlated to surface water nitrate concentrations. Denitrification rate and denitrification enzyme activity decreased with an increase in forest cover during the first sampling period only. The first sampling period coincided with the greatest connectivity between the watershed and in-stream processing, indicating that riparian forest cover indirectly decreased denitrification rates by reducing the concentrations of dissolved nutrients entering the stream. This reduction in load may allow the sediment to maintain greater nitrogen removal efficiency, because bacteria are not saturated with nitrogen. Riparian forest cover also appeared to lessen the effect of agriculture in the watershed by decreasing the amount of fine material in the stream, resulting in reduced phosphorus storage in the stream sediment.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-021-01484-9","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Hlavacek, E., and Christensen, V., 2021, Riparian forest cover modulates phosphorus storage and nitrogen cycling in agricultural stream sediments: Environmental Management, v. 68, p. 279-293, https://doi.org/10.1007/s00267-021-01484-9.","productDescription":"15 p.","startPage":"279","endPage":"293","ipdsId":"IP-115956","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436324,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PAS8DP","text":"USGS data release","linkHelpText":"Great Lakes Restoration Initiative Fox River Basin 2018 Data"},{"id":387625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Fox River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.14306640625,\n 43.43696596521823\n ],\n [\n -87.1875,\n 43.43696596521823\n ],\n [\n -87.1875,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 45.91294412737392\n ],\n [\n -89.14306640625,\n 43.43696596521823\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"68","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":820393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221326,"text":"70221326 - 2021 - Developing a strategy for the national coordinated soil moisture monitoring network","interactions":[],"lastModifiedDate":"2021-08-03T16:23:29.131132","indexId":"70221326","displayToPublicDate":"2021-06-08T07:46:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Developing a strategy for the national coordinated soil moisture monitoring network","docAbstract":"Soil moisture is a critical land surface variable, affecting a wide variety of climatological, agricultural, and hydrological processes. Determining the current soil moisture status is possible via a variety of methods, including in situ monitoring, remote sensing, and numerical modeling. Although all of these approaches are rapidly evolving, there is no cohesive strategy or framework to integrate these diverse information sources to develop and disseminate coordinated national soil moisture products that will improve our ability to understand climate variability. The National Coordinated Soil Moisture Monitoring Network initiative has developed a national strategy for network coordination with NOAA's National Integrated Drought Information System. The strategy is currently in review within NOAA, and work is underway to implement the initial milestones of the strategy. This update reviews the goals and steps being taken to establish this national-scale coordination for soil moisture monitoring in the United States.
The Central Valley of California is one of the most important areas for wintering waterfowl in the world and the focus of extensive conservation efforts to mitigate for historical losses and counter continuing stressors to habitats. To guide conservation, we analyzed trends in the abundance and distribution (spatiotemporal abundance patterns) of waterfowl and their habitats in the Central Valley and its major subregions (Sacramento Valley, Suisun Marsh, Delta, San Joaquin Valley), from 1973 through 2000. We used existing databases, satellite imagery, and aerial photography to measure habitat area, and aerial surveys and radio telemetry to track the abundance and distribution of wintering waterfowl. Wetlands increased throughout the Central Valley, but agricultural fields flooded after harvest increased greatly to the north in the Sacramento Valley and decreased to the south in the San Joaquin Valley, resulting in an overall increase in the relative availability of winter habitat in the former region. Reflecting the continental decline of the most abundant wintering species (Northern Pintail, Anas acuta), the overall abundance of wintering waterfowl in the Central Valley declined during our study. By contrast, numbers of the American Wigeon (A. americana), Mallard (A. platyrhynchos), and Northern Shoveler (A. clypeata) were stable, and numbers of the Green-winged Teal (A. crecca), Gadwall (A. strepera), diving ducks, and geese increased from 1973–1982 to 1998–2000. The areas of greatest abundance of wintering waterfowl within the Central Valley shifted northward as many species responded to changes in the distribution of habitats. Wintering waterfowl migrated earlier in fall and winter from the San Joaquin Valley, Suisun Marsh, and Delta to the Sacramento Valley, and fewer waterfowl emigrated from the Sacramento Valley to other parts of the Central Valley. Because changes in waterfowl distribution were primarily a response to the increase of a beneficial agricultural practice (i.e., the flooding of rice after harvest) in the Sacramento Valley, changing agro-economics, reduction of water supplies, or other factors that reduce this practice could change the abundance and distribution of wintering waterfowl in the Central Valley rapidly. Thus to maintain abundant suitable habitat and restore the historical distribution of wintering waterfowl, our results suggest a continuing need for the conservation of wetlands and other waterfowl habitats with secure water supplies throughout the Central Valley. Despite our findings, achieving goals for winter waterfowl populations in the Central Valley likely will depend on a combination of factors including some acting in breeding ranges farther north or elsewhere outside of the valley.
","language":"English","publisher":"Western Field Ornithologists","doi":"10.21199/SWB3.2","usgsCitation":"Fleskes, J.P., Casazza, M.L., Overton, C.T., Matchett, E., and Yee, J.L., 2021, Changes in the abundance and distribution of waterfowl wintering in the Central Valley of California, 1973–2000: Studies of Western Birds, v. 3, p. 50-74, https://doi.org/10.21199/SWB3.2.","productDescription":"25 p.","startPage":"50","endPage":"74","ipdsId":"IP-073693","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":451983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21199/swb3.2","text":"Publisher Index Page"},{"id":386342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley of California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.958984375,\n 40.44694705960048\n ],\n [\n -122.51953124999999,\n 38.95940879245423\n ],\n [\n -121.70654296874999,\n 37.54457732085582\n ],\n [\n -120.08056640625,\n 35.92464453144099\n ],\n [\n -119.20166015625,\n 35.15584570226544\n ],\n [\n -118.43261718749999,\n 35.38904996691167\n ],\n [\n -119.0478515625,\n 36.73888412439431\n ],\n [\n -120.89355468749999,\n 38.238180119798635\n ],\n [\n -122.3876953125,\n 40.29628651711716\n ],\n [\n -122.958984375,\n 40.44694705960048\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2017-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":817261,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221277,"text":"70221277 - 2021 - Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System","interactions":[],"lastModifiedDate":"2021-06-09T12:03:21.083641","indexId":"70221277","displayToPublicDate":"2021-06-08T06:55:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System","docAbstract":"Shallow water riparian zones of large rivers provide important habitat for fishes, but anthropogenic influences have reduced the availability and quality of these habitats. In the St. Clair–Detroit River System, a Laurentian Great Lakes connecting channel, losses of riparian habitat contributed to impairment of fish populations and their habitats. We conducted a seine survey annually from 2013 to 2019 at ten sites in the St. Clair and Detroit rivers to assess riparian fish communities, and to identify habitat attributes associated with fish species richness and catches of common species. We captured a total of 38,451 fish representing 60 species, with emerald shiner Notropis atherinoides composing the largest portion of the catch. We used an information-theoretic approach to assess the associations between species richness and catches of 33 species with habitat variables (substrate, shoreline vegetation types, and aquatic macrophyte richness). Sand, cobble, and algal substrates and shoreline vegetation were important predictors of species richness based on a multimodel inference approach. However, habitat associations of individual species varied. This work identified manageable habitat variables associated with species richness, while identifying potential tradeoffs for individual species. Further, this work provides baselines for development and evaluation of fish community and shoreline habitat restoration goals.
","language":"English","publisher":"MDPI","doi":"10.3390/w13121616","usgsCitation":"Hilling, C.D., Fischer, J., Ross, J., Tucker, T., DeBruyne, R., Mayer, C.M., and Roseman, E., 2021, Nearshore fish species richness and species–habitat associations in the St. Clair–Detroit River System: Water, v. 12, no. 13, 19 p., https://doi.org/10.3390/w13121616.","productDescription":"19 p.","ipdsId":"IP-129920","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":451986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13121616","text":"Publisher Index Page"},{"id":386337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"St. Clair–Detroit River System","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.15551757812499,\n 41.75492216766298\n ],\n [\n -82.408447265625,\n 41.75492216766298\n ],\n [\n -82.408447265625,\n 43.24520272203356\n ],\n [\n -83.15551757812499,\n 43.24520272203356\n ],\n [\n -83.15551757812499,\n 41.75492216766298\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"13","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Hilling, Corbin D. 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":257754,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin","email":"","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":817222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fischer, Jason L.","contributorId":241112,"corporation":false,"usgs":false,"family":"Fischer","given":"Jason L.","affiliations":[],"preferred":false,"id":817223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Jason E.","contributorId":213881,"corporation":false,"usgs":false,"family":"Ross","given":"Jason E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":817224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Taaja 0000-0003-1534-4677","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":217908,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":817225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeBruyne, Robin L.","contributorId":139752,"corporation":false,"usgs":false,"family":"DeBruyne","given":"Robin L.","affiliations":[{"id":12902,"text":"MI State UNiversity","active":true,"usgs":false}],"preferred":false,"id":817226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":817227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":817228,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221342,"text":"70221342 - 2021 - Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease","interactions":[],"lastModifiedDate":"2022-05-12T13:20:41.213374","indexId":"70221342","displayToPublicDate":"2021-06-08T06:52:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8930,"text":"Journal of Fungi","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Soil reservoir dynamics of Ophidiomyces ophidiicola, the causative agent of snake fungal disease","title":"Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease","docAbstract":"Wildlife diseases pose an ever-growing threat to global biodiversity. Understanding how wildlife pathogens are distributed in the environment and the ability of pathogens to form environmental reservoirs is critical to understanding and predicting disease dynamics within host populations. Snake fungal disease (SFD) is an emerging conservation threat to North American snake populations. The causative agent, Ophidiomyces ophidiicola (Oo), is detectable in environmentally derived soils. However, little is known about the distribution of Oo in the environment and the persistence and growth of Oo in soils. Here, we use quantitative PCR to detect Oo in soil samples collected from five snake dens. We compare the detection rates between soils collected from within underground snake hibernacula and associated, adjacent topsoil samples. Additionally, we used microcosm growth assays to assess the growth of Oo in soils and investigate whether the detection and growth of Oo are related to abiotic parameters and microbial communities of soil samples. We found that Oo is significantly more likely to be detected in hibernaculum soils compared to topsoils. We also found that Oo was capable of growth in sterile soil, but no growth occurred in soils with an active microbial community. A number of fungal genera were more abundant in soils that did not permit growth of Oo, versus those that did. Our results suggest that soils may display a high degree of both general and specific suppression of Oo in the environment. Harnessing environmental suppression presents opportunities to mitigate the impacts of SFD in wild snake populations.
","language":"English","publisher":"MDPI","doi":"10.3390/jof7060461","usgsCitation":"Campbell, L., Burger, J., Zappalorti, R.T., Bunnell, J.F., Winzeler, M., Taylor, D.R., and Lorch, J., 2021, Soil reservoir dynamics of ophidiomyces ophidiicola, the causative agent of snake fungal disease: Journal of Fungi, v. 7, no. 6, 461, 14 p., https://doi.org/10.3390/jof7060461.","productDescription":"461, 14 p.","ipdsId":"IP-129843","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":451989,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jof7060461","text":"Publisher Index Page"},{"id":436325,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MMWG10","text":"USGS data release","linkHelpText":"Tracking the growth of Ophidiomyces ophidiicola over time in natural and sterile soils using quantitative PCR"},{"id":386409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell, Lewis J. 0000-0002-7852-2250","orcid":"https://orcid.org/0000-0002-7852-2250","contributorId":244773,"corporation":false,"usgs":false,"family":"Campbell","given":"Lewis J.","affiliations":[],"preferred":false,"id":817377,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, Joanna 0000-0002-8877-2966","orcid":"https://orcid.org/0000-0002-8877-2966","contributorId":260161,"corporation":false,"usgs":false,"family":"Burger","given":"Joanna","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":817378,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zappalorti, Robert T.","contributorId":169450,"corporation":false,"usgs":false,"family":"Zappalorti","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":817379,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, John F.","contributorId":204697,"corporation":false,"usgs":false,"family":"Bunnell","given":"John","email":"","middleInitial":"F.","affiliations":[{"id":36975,"text":"NJ Pinelands Commission","active":true,"usgs":false}],"preferred":false,"id":817380,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":817381,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Daniel R. 0000-0001-5391-0321","orcid":"https://orcid.org/0000-0001-5391-0321","contributorId":260163,"corporation":false,"usgs":false,"family":"Taylor","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":52527,"text":"National Wildlife Health Center (previous employee)","active":true,"usgs":false}],"preferred":false,"id":817382,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":260164,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":817383,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263747,"text":"70263747 - 2021 - Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration","interactions":[],"lastModifiedDate":"2025-02-21T15:50:46.112638","indexId":"70263747","displayToPublicDate":"2021-06-08T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration","docAbstract":"Preserving avian flyway connectivity has long been challenged by our capacity to meaningfully quantify continental habitat dynamics and bird movements at temporal and spatial scales underlying long-distance migrations. Waterbirds migrating hundreds or thousands of kilometers depend on networks of wetland stopover sites to rest and refuel. Entire populations may rely on discrete wetland habitats, particularly in arid landscapes where the loss of limited stopover options can have disproportionately high impacts on migratory cost. Here, we examine flyway connectivity in water-limited ecosystems of western North America using 108 GPS tagged greater sandhill cranes. Bird movements were used to reconstruct wetland stopover networks across three geographically unique sub-populations spanning 12 US-Mexican states and Canadian provinces. Networks were monitored with remote sensing to identify long-term (1988-2019) trends in wetland and agricultural resources supporting migration and evaluated using network theory and centrality metrics as a measure of stopover site importance to flyway connectivity. Sandhill crane space-use was analyzed in stopover locations to identify important ownership and landscape factors structuring bird distributions. Migratory efficiency was the primary mechanism underpinning network function. A small number of key stopover sites important to minimizing movement cost between summering and wintering locations were essential to preserving flyway connectivity. Localized efficiencies were apparent in stopover landscapes given prioritization of space-use by birds where the proximity of agricultural food resources and flooded wetlands minimized daily movements. Model depictions showing wetland declines from 16-18% likely reflect a new normal in landscape drying that could decouple agriculture-waterbird relationships as water scarcity intensifies. Sustaining network resilience will require conservation strategies to balance water allocations preserving agricultural and wetlands on private lands that accounted for 67-96% of habitat use. Study outcomes provide new perspectives of agroecological relationships supporting continental waterbird migration needed to prioritize conservation of landscapes vital to maintaining flyway connectivity.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3543","usgsCitation":"Donnelly, J.P., King, S.L., Knetter, J., Gammonley, J., Dreitz, V., Grisham, B., Nowak, M., and Collins, D., 2021, Migration efficiency sustains connectivity across agroecological networks supporting sandhill crane migration: Ecosphere, v. 12, no. 6, e03543, 22 p., https://doi.org/10.1002/ecs2.3543.","productDescription":"e03543, 22 p.","ipdsId":"IP-122194","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487664,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3543","text":"Publisher Index Page"},{"id":482335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"western North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.6397170378491,\n 49.746443185590465\n ],\n [\n -123.6397170378491,\n 27.52099622519954\n ],\n [\n -103.13075969268448,\n 27.52099622519954\n ],\n [\n -103.13075969268448,\n 49.746443185590465\n ],\n [\n -123.6397170378491,\n 49.746443185590465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Donnelly, J. 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The new catalogue spans a 4-month period, starting on 1 June 2019, and it includes nearly 95 000 events detected and located with iterative updates to our velocity models. The final Vp and Vs models correlate well with surface geology in the top 4 km of the crust and spatial seismicity patterns at depth. Joint interpretation of the derived catalogue, velocity models, and surface geology suggests that (i) a compliant low-velocity zone near the Garlock Fault arrested the Mw 7.1 rupture at the southeast end; (ii) a stiff high-velocity zone beneath the Coso Mountains acted as a strong barrier that arrested the rupture at the northwest end and (iii) isolated seismicity on the Garlock Fault accommodated transtensional-stepover strain triggered by the main events. The derived catalogue and velocity models can be useful for multiple future studies, including further analysis of seismicity patterns, derivations of accurate source properties (e.g. focal mechanisms) and simulations of earthquake processes and radiated seismic wavefields.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggab224","usgsCitation":"White, M., Fang, H., Catchings, R.D., Goldman, M., Steidl, J.H., and Ben-Zion, Y., 2021, Detailed traveltime tomography and seismic catalog around the 2019 Mw7.1 Ridgecrest, California, earthquake using dense rapid-response seismic data: Geophysical Journal International, v. 227, no. 1, p. 204-227, https://doi.org/10.1093/gji/ggab224.","productDescription":"24 p.","startPage":"204","endPage":"227","ipdsId":"IP-124945","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.33486333179661,\n 36.08725945725399\n ],\n [\n -118.33486333179661,\n 35.3380510630776\n ],\n [\n -117.28305638115125,\n 35.3380510630776\n ],\n [\n -117.28305638115125,\n 36.08725945725399\n ],\n [\n -118.33486333179661,\n 36.08725945725399\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"227","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Malcolm 0000-0001-7543-3896","orcid":"https://orcid.org/0000-0001-7543-3896","contributorId":351476,"corporation":false,"usgs":false,"family":"White","given":"Malcolm","affiliations":[{"id":47795,"text":"USC","active":true,"usgs":false}],"preferred":false,"id":928573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fang, Hongjian","contributorId":351481,"corporation":false,"usgs":false,"family":"Fang","given":"Hongjian","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":928584,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Catchings, Rufus D. 0000-0002-5191-6102 catching@usgs.gov","orcid":"https://orcid.org/0000-0002-5191-6102","contributorId":1519,"corporation":false,"usgs":true,"family":"Catchings","given":"Rufus","email":"catching@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":928575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldman, Mark 0000-0002-0802-829X","orcid":"https://orcid.org/0000-0002-0802-829X","contributorId":205863,"corporation":false,"usgs":true,"family":"Goldman","given":"Mark","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ben-Zion, Yehuda 0000-0002-9602-2014","orcid":"https://orcid.org/0000-0002-9602-2014","contributorId":350966,"corporation":false,"usgs":false,"family":"Ben-Zion","given":"Yehuda","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":928578,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221853,"text":"70221853 - 2021 - A decision-analytical framework for developing harvest regulations","interactions":[],"lastModifiedDate":"2021-07-13T00:44:37.862671","indexId":"70221853","displayToPublicDate":"2021-06-07T19:39:38","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"7","title":"A decision-analytical framework for developing harvest regulations","docAbstract":"The development of harvest regulations for fish or wildlife is a complex decision that needs to weigh multiple objectives, consider a set of alternative regulatory options, integrate scientific understanding about the population dynamics of the harvested species as well as the human response to regulations, account for uncertainty, and provide an avenue for feedback from monitoring programs. The author describes how the field of decision analysis provides a framework for structuring such decisions and tools for navigating the components. At the center of any harvest management endeavor is a set of objectives that may include providing harvest opportunity, conserving the harvested population long into the future, and satisfying hunters, anglers, or trappers; tools from multi-criteria decision analysis are useful in finding the right balance among competing objectives. The population dynamics of harvested populations are often stochastic; tools from risk analysis and dynamic optimization can be used to find state-dependent policies that manage variation. Finally, harvest regulations are often set in the face of uncertainty; value-of-information methods can be used to evaluate the importance of that uncertainty, and adaptive management methods can be used to reduce it.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9781003009054","usgsCitation":"Runge, M.C., 2021, A decision-analytical framework for developing harvest regulations, chap. 7 of Harvest of fish and wildlife: New paradigms for sustainable management, 15 p., https://doi.org/10.1201/9781003009054.","productDescription":"15 p.","ipdsId":"IP-123515","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-05-11","publicationStatus":"PW","contributors":{"editors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":819202,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Powell, Larkin A.","contributorId":15100,"corporation":false,"usgs":true,"family":"Powell","given":"Larkin A.","affiliations":[],"preferred":false,"id":819203,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":819006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228555,"text":"70228555 - 2021 - Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives","interactions":[],"lastModifiedDate":"2022-02-14T17:11:01.067481","indexId":"70228555","displayToPublicDate":"2021-06-07T11:07:12","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives","docAbstract":"Waterfowl hunters have an important economic impact on local, state, and national economies, and are important stakeholders in decisions regarding waterfowl harvest season dates. Individual states are responsible for annually setting duck season dates that conform to the migratory game bird season frameworks as set by the U.S. Fish and Wildlife Service. The federal framework specifies season length and bag limits (i.e., number of birds allowed to be harvested in a day), and states have the authority to select specific season dates within the federal guidelines. The state agency decision is largely centered on social objectives related to hunter satisfaction because the U.S. Fish and Wildlife Service incorporates biological objectives when establishing the federal framework to ensure sustainable waterfowl populations. This chapter describes the problem formulation, objectives, and alternatives steps of a decision analysis process used in New York. The authors demonstrate a process that allows for engagement by waterfowl hunters and incorporation of multiple stakeholder objectives, which can be used to evaluate tradeoffs to help guide decision making regarding selection of duck season dates. Engaging duck hunters through a task force and hunter survey provided opportunity for the regulated community to help shape season dates that quantitatively considered duck hunter satisfaction.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","collaboration":"New York State Department of Environmental Conservation","usgsCitation":"Fuller, A.K., Stiller, J.C., Siemer, W., and Perkins, K., 2021, Engaging hunters in selecting duck season dates using decision science: Problem framing, objective setting, devising management alternatives, chap. 8 of Harvest of fish and wildlife: New paradigms for sustainable management, 13 p.","productDescription":"13 p.","ipdsId":"IP-117424","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stiller, Joshua C.","contributorId":276124,"corporation":false,"usgs":false,"family":"Stiller","given":"Joshua","email":"","middleInitial":"C.","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":834580,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siemer, William F.","contributorId":276125,"corporation":false,"usgs":false,"family":"Siemer","given":"William F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834581,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kelly A.","contributorId":276126,"corporation":false,"usgs":false,"family":"Perkins","given":"Kelly A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":834582,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228558,"text":"70228558 - 2021 - Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye","interactions":[],"lastModifiedDate":"2022-02-14T16:30:15.25773","indexId":"70228558","displayToPublicDate":"2021-06-07T10:27:48","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye","docAbstract":"Harvest decisions for fish and wildlife populations often include conflicting ecological, economic, and social values. Using decision analysis, such as structured decision making and adaptive management, as a framework to aid decision makers in multi-objective decision making for setting harvest regulations can lead to a more transparent and resilient decision. The process includes opportunities for inclusion of stakeholders’ concerns, either through multi-party workshops or the use of social science techniques to elicit objectives (i.e., values) and predict consequences of management actions. The authors present two case studies of using decision analysis to determine stakeholders’ objectives, identify alternative harvest strategies, predict the consequences of these alternatives on all objectives, and analyze tradeoffs among objectives. A case study of white-tailed deer (Odocoileus virginianus) in New York State provides an example of combining predictive population modeling and implementation of survey instruments statewide to determine optimal region-specific harvest regulations. Harvest management of walleye (Sander vitreus) provides an example of the inclusion of commercial and recreational angler groups in a series of workshops to make decisions about harvest quotas for one of the world’s largest freshwater fisheries.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Robinson, K., Fuller, A.K., and Jones, M., 2021, Using structured decision making to incorporate ecological and social values into harvest decisions: Case studies of white-tailed deer and walleye, chap. 9 of Harvest of fish and wildlife: New paradigms for sustainable management, 15 p.","productDescription":"15 p.","ipdsId":"IP-117474","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395890,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly F.","contributorId":276131,"corporation":false,"usgs":false,"family":"Robinson","given":"Kelly F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":834588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Michael","contributorId":276132,"corporation":false,"usgs":false,"family":"Jones","given":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":834589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228914,"text":"70228914 - 2021 - The future of managing ungulate species: White-tailed deer as a case study","interactions":[],"lastModifiedDate":"2024-04-11T15:42:19.439229","indexId":"70228914","displayToPublicDate":"2021-06-07T09:50:14","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"22","title":"The future of managing ungulate species: White-tailed deer as a case study","docAbstract":"The future challenge to managing ungulate populations to meet objectives is likely to become more difficult as participation in recreational hunting declines and ungulate populations become more abundant. The authors use the white-tailed deer (Odocoileus virginianus) in North America as a case study to illustrate the management challenges facing decision makers. In states with fewer licensed deer hunters and large urban areas, changes solely to season length and bag limits may be insufficient to control deer populations. Incentivizing antlerless harvest beyond traditional reasons of recreation and sustenance may be necessary. The chapter provides a description of a future in which multiple methods will be required to control deer populations that likely will require an adaptive management approach. Methods other than hunting will incur higher costs to landowners and government agencies, and acceptable methods will depend on resident attitudes toward lethal and nonlethal control measures and costs.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Diefenbach, D.R., Knox, W.M., and Rosenberry, C., 2021, The future of managing ungulate species: White-tailed deer as a case study, chap. 22 of Harvest of fish and wildlife: New paradigms for sustainable management, 13 p.","productDescription":"13 p.","ipdsId":"IP-118957","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396425,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knox, W. Matthew","contributorId":280011,"corporation":false,"usgs":false,"family":"Knox","given":"W.","email":"","middleInitial":"Matthew","affiliations":[{"id":57408,"text":"Virginia DGIF","active":true,"usgs":false}],"preferred":false,"id":835877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":280012,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":835878,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221212,"text":"ofr20211030I - 2021 - System characterization report on the WorldView-3 Imager","interactions":[{"subject":{"id":70221212,"text":"ofr20211030I - 2021 - System characterization report on the WorldView-3 Imager","indexId":"ofr20211030I","publicationYear":"2021","noYear":false,"chapter":"I","displayTitle":"System Characterization Report on the WorldView-3 Imager","title":"System characterization report on the WorldView-3 Imager"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2023-01-27T14:35:39.264069","indexId":"ofr20211030I","displayToPublicDate":"2021-06-07T09:23:24","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1030","chapter":"I","displayTitle":"System Characterization Report on the WorldView-3 Imager","title":"System characterization report on the WorldView-3 Imager","docAbstract":"This report addresses system characterization of the Maxar WorldView-3 satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence in 2020. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
WorldView-3 is a high-resolution multispectral satellite launched in 2014 by Maxar Technologies on an Atlas V launch vehicle from Vandenberg Air Force Base in California for Earth resources monitoring. WorldView-3 provides substantial technical improvements to previous WorldView satellites, including spectral bands, ground sample distance, and swath. The WorldView-3 satellite was designed and built by Lockheed Martin for Maxar Technologies using the BCP–5000 bus with the WorldView-3 Imager and the Clouds, Aerosols, Vapors, Ice, and Snow sensor. The high-resolution WorldView-3 Imager is the main instrument, and the Clouds, Aerosols, Vapors, Ice, and Snow sensor provides additional data on obscurants and other atmospheric effects used in data production. More information on Maxar WorldView satellites and sensors is available within the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and from the manufacturer at https://www.maxar.com/.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that WorldView-3 has a range of interior geometric performance of −0.09 (−0.07 pixel) to 0.24 meter (0.19 pixel) in band-to-band registration; an exterior geometric performance in the range of a −21.10- (−2.11 pixels) to 28.23-meter (2.82 pixels) offset in comparison to Sentinel-2; a radiometric performance in the range of −0.121 to 1.420 (offset and slope); and a spatial performance in the range of 1.2 to 1.7 pixels at full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.093 to 0.185.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030I","usgsCitation":"Cantrell, S.J., Christopherson, J.B., Anderson, C., Stensaas, G.L., Ramaseri Chandra, S.N., Kim, M., and Park, S., 2021, System characterization report on the WorldView-3 Imager (ver. 1.1, October 2021), chap. I of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 29 p., https://doi.org/10.3133/ofr20211030I.","productDescription":"Report: v, 29 p.; Version History","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-126804","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":391140,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1030/i/versionHist.txt","text":"Version History","size":"878 B","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2021–1030I Version History"},{"id":391139,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/i/ofr20211030i_ver1.1.pdf","text":"Report","size":"20.1 MB","description":"OFR 2021–1030I"},{"id":391138,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/i/images"},{"id":391137,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/i/ofr20211030i.xml"},{"id":386257,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/i/coverthb_2.jpg"}],"edition":"Version 1.0: June 2021; Version 1.1: October 2021","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
This report addresses system characterization of Gaofen-1 and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence in 2020. These reports present the detail methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Gaofen represents a series of Chinese high-resolution Earth observation satellites. More than 12 satellites have been launched in the Gaofen series, beginning with Gaofen-1 in 2013. Satellites within the series have varying infrared, radar, and optical imaging capabilities. The primary goal for the satellite is to provide near real-time observations for climate change monitoring, geographical mapping, precision agriculture support, environmental and resource surveying, and disaster prevention. More information on Chinese satellites and sensors is available within the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and at http://www.cnsageo.com/#/detailIndex?secondIndex=2&id=3&code=8.
The Earth Resources Observation and Science Cal/Val Center of Excellence System Characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that Gaofen-1 has an interior geometric performance of −0.48 meter (m) (−0.03 pixel) northing and 0.42 m (0.03 pixel) easting offset for band 1, −0.99 m (−0.06 pixel) northing and −0.38 m (−0.02 pixel) easting offset for band 2, −0.45 m (−0.03) northing and 0.83 m (0.05 pixel) easting offset for band 3, −3.20 m (−0.20 pixel) northing and 1.44 m (0.09 pixel) easting offset for band 4 in band-to-band registration. Similarly, Gaofen-1 has an exterior geometric performance of 7.50 m (0.48 pixel) easting and 109.50 m (7.30 pixels) northing offset in comparison to the Landsat 8 Operational Land Imager; a radiometric performance in the range of −0.014 to 0.149 (absolute reflective difference); and a spatial performance in the range of 1.1 to 2.0 pixels at full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.040 to 0.250.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030B","usgsCitation":"Shrestha, M., Sampath, A., Ramaseri Chandra, S.N., Christopherson, J.B., Shaw, J., Stensaas, G.L., and Anderson, C., 2021, System characterization report on the Gaofen-1, chap. B of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 11 p., https://doi.org/10.3133/ofr20211030B.","productDescription":"iv, 11 p.","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-126808","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":386255,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/b/coverthb.jpg"},{"id":386256,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/b/ofr20211030b.pdf","text":"Report","size":"3.15 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030B"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
This report addresses system characterization of the German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS) and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present the methodology and procedures for characterization and the technical and operational information about the specific sensing system being evaluated. These reports also provide a description of data measurements, data retention practices, and data analysis results and provide system characterization conclusions.
In partnership with Teledyne Brown Engineering, DLR built the DESIS hyperspectral instrument, which Teledyne Brown Engineering then integrated onto its International Space Station-based imaging platform, the Multi-User System for Earth Sensing. DLR developed the processing software and, together with Innovative Imaging and Research, completes the validation and calibration of the data products. DESIS was launched in 2018, and the data are used for scientific research in atmospheric physics and Earth sciences. The DESIS sensor contributes to the scientific and commercial utilization of the International Space Station and helps to further hyperspectral remote sensing technologies for future satellites. More information on DLR satellites and sensors is included within the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and at https://www.dlr.de/DE/Home/home_node.html.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that DESIS has an interior geometric performance of less than a 3.30-meter (less than 0.11 pixel) root mean square error in band-to-band registration, an exterior geometric performance in the range of a 2.40- (0.08 pixel) to 17.40-meter (0.58 pixel) offset in comparison to the Landsat 8 Operational Land Imager, a radiometric performance in the range of −0.013 to 1.011 (offset and slope), and a spatial performance for band 130 of 1.5 pixels at full width at half maximum, with a modulation transfer function at a Nyquist frequency of 0.167.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030A","usgsCitation":"Shrestha, M., Sampath, A., Ramaseri Chandra, S.N., Christopherson, J.B., Shaw, J., and Anderson, C., 2021, System characterization report on the German Aerospace Center (DLR) Earth Sensing Imaging Spectrometer (DESIS), chap. A of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 9 p., https://doi.org/10.3133/ofr20211030A.","productDescription":"iv, 9 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-126586","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":386252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/a/coverthb.jpg"},{"id":386253,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/a/ofr20211030a.pdf","text":"Report","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030A"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The invasiveness of nonnative taxa can vary across a landscape due to environmental gradients, suggesting that location-dependent management strategies may be more effective at reducing spread compared to a “one size fits all” approach across the entire introduced range. Using bait stations placed along linear transects within habitat preserves, we tested for effects of ecoregion, vegetation, soil moisture, habitat edge type (i.e., moisture source), and distance from edges on the presence of the invasive Argentine ant Linepithema humile in San Diego County, California, a region with high indigenous biodiversity and numerous rare and protected species. Our results showed an inverse relationship between the presence of native ant species and the presence of the Argentine ant across ecoregions, with the latter reaching peak abundance in the coastal terrace. Argentine ant presence was negatively associated with distance from all edge types regardless of location, but the magnitude of this effect varied among ecoregions. In the xeric foothill and inland valleys, the probability of occurrence was nearly 0 at distances of 200 m and 750 m from moisture edges, respectively, whereas in the coastal terrace, the probability remained above 0.80 at distances up to 1.25 km. When compared to previous studies at different spatial scales, these findings provide an alternative perspective on the invasiveness of the Argentine ant at the landscape level. Our results further suggest that efforts to control spread in regions with a Mediterranean climate may be more successful in inland areas, where the ant is likely to have lower environmental tolerance and native ant species may be better able to generate biotic resistance. In contrast, different tactics and expectations may be necessary for coastal areas, where the same constraints are diminished or absent.
","language":"English","publisher":"Brigham Young University","doi":"10.3398/064.081.0208","usgsCitation":"Richmond, J.Q., Matsuda, T., Brehme, C.S., Perkins, E., and Fisher, R., 2021, Predictability of invasive Argentine ant distribution across Mediterranean ecoregions of southern California: Western North American Naturalist, v. 81, no. 2, p. 243-256, https://doi.org/10.3398/064.081.0208.","productDescription":"14 p.","startPage":"243","endPage":"256","ipdsId":"IP-122831","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":414545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Palomar and Laguna Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.11548632812577,\n 32.54194836678279\n ],\n [\n -116.40106393709056,\n 32.59596039805017\n ],\n [\n -116.40483397609356,\n 33.42110265634582\n ],\n [\n -117.14622140896292,\n 33.41740053633521\n ],\n [\n -117.48608470942531,\n 33.511908134079505\n ],\n [\n -117.67818135751273,\n 33.47083053561539\n ],\n [\n -117.40727582815857,\n 33.26926893986678\n ],\n [\n -117.264434730863,\n 32.89370420929002\n ],\n [\n -117.28413695117968,\n 32.83164417567744\n ],\n [\n -117.264434730863,\n 32.682523089936595\n ],\n [\n -117.12159363356713,\n 32.52899985746883\n ],\n [\n -117.11548632812577,\n 32.54194836678279\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"81","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuda, Tritia 0000-0001-9271-7671","orcid":"https://orcid.org/0000-0001-9271-7671","contributorId":213956,"corporation":false,"usgs":true,"family":"Matsuda","given":"Tritia","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Emily E. 0000-0002-6286-3480","orcid":"https://orcid.org/0000-0002-6286-3480","contributorId":225022,"corporation":false,"usgs":true,"family":"Perkins","given":"Emily E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867087,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":867088,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228994,"text":"70228994 - 2021 - Harvest as a tool to manage populations of undesirable or overabundant fish and wildlife","interactions":[],"lastModifiedDate":"2022-02-25T14:20:08.753662","indexId":"70228994","displayToPublicDate":"2021-06-07T08:10:32","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Harvest as a tool to manage populations of undesirable or overabundant fish and wildlife","docAbstract":"Harvest is a common management tool for fish and game species and can also be used for overabundant populations when stakeholders want to reduce populations reduced and still provide recreational opportunities. The authors propose a framework to determine if harvest can be used to control populations when overabundance is an issue, stakeholders support harvest, information is available to set harvest goals and evaluate impacts of harvest, and assessments are conducted to evaluate unintended consequences of harvest. The chapter provides two case examples of mid-continent light geese and blue catfish in the Chesapeake Bay watershed, for which overabundance was a problem and stakeholders had interest in harvest. Substantial data existed to set goals for light geese whereas blue catfish data were limited. For both light geese and blue catfish, desired outcomes have not yet been achieved, but hunting and fishing opportunities generated societal benefits despite existing barriers to increasing harvest. Harvest to control overabundant populations can be a useful tool, but consideration of stakeholder support, the data require to establish and monitor goals, and unintended consequences should be considered for an effective harvest plan.
Harvest is a common management tool used for centuries to limit populations of game species (Caughley 1977, Redmond 1986). Managing populations using harvest regulations allow certain sizes, numbers, sex, and species to be harvested, and often include open or closed seasons. Regulated hunting opportunity and harvest are cornerstones of the North American Model of Wildlife Conservation, which developed gradually following unregulated harvest of wildlife populations that often were at risk of overharvest or extinction (Geist et al. 2001). Since then, many populations have recovered and expanded to the point where harvest regulations are now often used to limit or even reduce populations of some species. In general, harvest regulations have been well established as an effective way to control animal populations in many aquatic and terrestrial systems and are broadly accepted among the hunting and fishing public. For example, harvest regulations have been established or adapted to reduce or control populations of feral hogs (Sus scrofa; Hanson et al. 2009), white-tailed deer (Odocoileus virginianus; Simard et al. 2013) and cougar (Puma concolor; Cooley et al. 2009), overabundant small black bass (Micropertus spp.; Isermann and Paukert 2010), northern pike (Esox lucius; Pierce 2010) or non-native species (Arlinghaus et al. 2016b).
Harvest has also been employed as a tool for controlling populations of invasive species. However, in many cases invasive species are so overabundant that a substantial commitment to harvest is necessary, which may exceed recreational harvest capacity and require commercial harvest or an active lethal control program by management agencies. Often removal of invasive species is challenging because the ultimate goal may be to eliminate the entire population, which may require impractical efforts. For example, controlling Asian carp in the Illinois River may require harvest rates of at least 70% (Tsehaye et al. 2013), whereas in the Great Smoky Mountains, an annual harvest rate of 40% would be necessary to decrease feral hog populations (Salinas et al. 2015). Many invasive species are known to negatively impact native species and ecosystems; thus, eradication is an ideal outcome. However, there may be opportunity to use harvest to control populations of native (or non-native) species that have some value yet are still overabundant. In this chapter, we explore the process of using harvest to control overabundant populations that have some recreational value, provide two examples to control overabundant populations using harvest, and describe the challenges and effectiveness associated with these efforts and some of the unintended effects of using harvest to control populations.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Harvest of fish and wildlife: New paradigms for sustainable management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","usgsCitation":"Paukert, C.P., Webb, E.B., Fowler, D.N., and Hilling, C.D., 2021, Harvest as a tool to manage populations of undesirable or overabundant fish and wildlife, chap. 18 of Harvest of fish and wildlife: New paradigms for sustainable management, p. 249-261.","productDescription":"13 p.","startPage":"249","endPage":"261","ipdsId":"IP-119950","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fowler, Drew N.","contributorId":205356,"corporation":false,"usgs":false,"family":"Fowler","given":"Drew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":836091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilling, Corbin D. 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":257754,"corporation":false,"usgs":false,"family":"Hilling","given":"Corbin","email":"","middleInitial":"D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":836092,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221729,"text":"70221729 - 2021 - Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States)","interactions":[],"lastModifiedDate":"2021-06-30T13:02:41.288765","indexId":"70221729","displayToPublicDate":"2021-06-07T07:56:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States)","docAbstract":"Mangroves sequester significant quantities of organic carbon (C) because of high rates of burial in the soil and storage in biomass. We estimated mangrove forest C storage and accumulation rates in aboveground and belowground components among five sites along an urbanization gradient in the San Juan Bay Estuary, Puerto Rico. Sites included the highly urbanized and clogged Caño Martin Peña in the western half of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part. Radiometrically dated cores were used to determine sediment accretion and soil C storage and burial rates. Measurements of tree dendrometers coupled with allometric equations were used to estimate aboveground biomass. Estuary-wide mangrove forest C storage and accumulation rates were estimated using interpolation methods and coastal vegetation cover data. In recent decades (1970–2016), the highly urbanized Martin Peña East (MPE) site with low flushing had the highest C storage and burial rates among sites. The MPE soil carbon burial rate was over twice as great as global estimates. Mangrove forest C burial rates in recent decades were significantly greater than historic decades (1930–1970) at Caño Martin Peña and Piñones. Although MPE and Piñones had similarly low flushing, the landscape settings (clogged canal vs forest reserve) and urbanization (high vs low) were different. Apparently, not only urbanization, but site-specific flushing patterns, landscape setting, and soil fertility affected soil C storage and burial rates. There was no difference in C burial rates between historic and recent decades at the San José and La Torrecilla lagoons. Mangrove forests had soil C burial rates ranging from 88 g m–2 y–1 at the San José lagoon to 469 g m–2 y–1 at the MPE in recent decades. Watershed anthropogenic CO2 emissions (1.56 million Mg C y–1) far exceeded the annual mangrove forest C storage rates (aboveground biomass plus soils: 17,713 Mg C y–1). A combination of maintaining healthy mangrove forests and reducing anthropogenic emissions might be necessary to mitigate greenhouse gas emissions in urban, tropical areas.
","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2021.676691","usgsCitation":"Wigand, C., Eagle, M.J., Branoff, B., Balogh, S., Miller, K., Martin, R.M., Hanson, A., Oczkowski, A., Huertas, E., Loffredo, J., and Watson, E., 2021, Recent carbon storage and burial exceed historic rates in the San Juan Bay estuary peri-urban mangrove forests (Puerto Rico, United States): Frontiers in Forests and Global Change, v. 4, 14 p., https://doi.org/10.3389/ffgc.2021.676691.","productDescription":"14 p.","ipdsId":"IP-127865","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451994,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2021.676691","text":"Publisher Index Page"},{"id":436326,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97CAF30","text":"USGS data release","linkHelpText":"Collection, analysis, and age-dating of sediment cores from mangrove wetlands in San Juan Bay Estuary, Puerto Rico, 2016"},{"id":386891,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.357177734375,\n 17.756534036838417\n ],\n [\n -65.58013916015625,\n 17.756534036838417\n ],\n [\n -65.58013916015625,\n 18.599395202198725\n ],\n [\n -67.357177734375,\n 18.599395202198725\n ],\n [\n -67.357177734375,\n 17.756534036838417\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2021-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Wigand, Cathleen","contributorId":260715,"corporation":false,"usgs":false,"family":"Wigand","given":"Cathleen","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Branoff, Benjamin","contributorId":216871,"corporation":false,"usgs":false,"family":"Branoff","given":"Benjamin","affiliations":[{"id":39539,"text":"University of Puerto Rico, San Juan, PR","active":true,"usgs":false}],"preferred":false,"id":818543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balogh, Stephen","contributorId":260716,"corporation":false,"usgs":false,"family":"Balogh","given":"Stephen","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Kenneth","contributorId":260717,"corporation":false,"usgs":false,"family":"Miller","given":"Kenneth","affiliations":[{"id":52655,"text":"General Dynamics Information Technology, 6361 Walker Lane, Suite 300 Alexandria, VA","active":true,"usgs":false}],"preferred":false,"id":818545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Rose M.","contributorId":211671,"corporation":false,"usgs":false,"family":"Martin","given":"Rose","email":"","middleInitial":"M.","affiliations":[{"id":38313,"text":"Atlantic Ecology Division, Environmental Protection Agency, 27 Tarzwell Dr. Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hanson, Alana","contributorId":260718,"corporation":false,"usgs":false,"family":"Hanson","given":"Alana","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oczkowski, Autumn","contributorId":260719,"corporation":false,"usgs":false,"family":"Oczkowski","given":"Autumn","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huertas, Evelyn","contributorId":260720,"corporation":false,"usgs":false,"family":"Huertas","given":"Evelyn","email":"","affiliations":[{"id":52656,"text":"US EPA, Caribbean Environmental Protection Division, Guaynabo, PR","active":true,"usgs":false}],"preferred":false,"id":818549,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Loffredo, Joseph","contributorId":260721,"corporation":false,"usgs":false,"family":"Loffredo","given":"Joseph","email":"","affiliations":[{"id":52652,"text":"US EPA, Atlantic Coastal Environmental Sciences Division, Narragansett, RI","active":true,"usgs":false}],"preferred":false,"id":818550,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Watson, Elizabeth","contributorId":260722,"corporation":false,"usgs":false,"family":"Watson","given":"Elizabeth","affiliations":[{"id":52657,"text":"Department of Biodiversity, Earth & Environmental Sciences and The Academy of Natural Sciences, Drexel University, 1900 Benjamin Franklin Pkwy, Philadelphia, PA,","active":true,"usgs":false}],"preferred":false,"id":818551,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70221535,"text":"70221535 - 2021 - The limitations of external measurements for aging small mammals: The cautionary example of the Lesser Treeshrew (Scandentia: Tupaiidae: Tupaia minor Günther, 1876)","interactions":[],"lastModifiedDate":"2021-08-17T15:17:09.763589","indexId":"70221535","displayToPublicDate":"2021-06-07T07:39:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The limitations of external measurements for aging small mammals: The cautionary example of the Lesser Treeshrew (Scandentia: Tupaiidae: Tupaia minor Günther, 1876)","title":"The limitations of external measurements for aging small mammals: The cautionary example of the Lesser Treeshrew (Scandentia: Tupaiidae: Tupaia minor Günther, 1876)","docAbstract":"Age is a basic demographic characteristic vital to studies of mammalian social organization, population dynamics, and behavior. To eliminate potentially confounding ontogenetic variation, morphological comparisons among populations of mammals typically are limited to mature individuals (i.e., those assumed to have ceased most somatic growth). In our morphometric studies of treeshrews (Scandentia), adult individuals are defined by the presence of fully erupted permanent dentition, a common criterion in specimen-based mammalogy. In a number of cases, however, we have had poorly sampled populations of interest in which there were potentially useful specimens that could not be included in samples because they lacked associated skulls. Such specimens typically are associated with external body and weight measurements recorded by the original collectors, and we sought to determine whether these data could be used successfully as a proxy for age or at least to establish maturity. We analyzed four traditional external dimensions (head-and-body length, tail length, hind foot length, and ear length) and weight associated with 103 specimens from two allopatric populations of the Lesser Treeshrew (Tupaia minor Günther, 1876) from Peninsular Malaysia and from Borneo, which we treated as separate samples (populations). Individuals were assigned to one of eight age categories based on dental eruption stage, and measurements were compared among groups. In general, mean sizes of infants and subadults were smaller than those of adults, but the majority of subadults fell within the range of variation of adults. The large overlap among infants, subadults, and adults in external measurements and weight indicates that such measures are poor proxies for age in this species, probably for treeshrews in general, and possibly for other small mammals. This has significant implications for any investigation wherein relative age of individuals in a given population is an important consideration.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyab055","usgsCitation":"Woodman, N., Miller-Murthy, A., Olson, L.E., and Sargis, E.J., 2021, The limitations of external measurements for aging small mammals: The cautionary example of the Lesser Treeshrew (Scandentia: Tupaiidae: Tupaia minor Günther, 1876): Journal of Mammalogy, v. 102, no. 4, gyab055, 8 p., https://doi.org/10.1093/jmammal/gyab055.","productDescription":"gyab055, 8 p.","ipdsId":"IP-127413","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":451996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyab055","text":"Publisher Index Page"},{"id":386647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":817989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller-Murthy, Ananth","contributorId":239693,"corporation":false,"usgs":false,"family":"Miller-Murthy","given":"Ananth","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":817990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olson, Link E. 0000-0002-2481-5701","orcid":"https://orcid.org/0000-0002-2481-5701","contributorId":203887,"corporation":false,"usgs":false,"family":"Olson","given":"Link","email":"","middleInitial":"E.","affiliations":[{"id":36743,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, AK 99775, USA","active":true,"usgs":false}],"preferred":false,"id":817991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sargis, Eric J. 0000-0003-0424-3803","orcid":"https://orcid.org/0000-0003-0424-3803","contributorId":203885,"corporation":false,"usgs":false,"family":"Sargis","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":36741,"text":"Department of Anthropology, Yale University, P.O. Box 208277, New Haven, CT 06520, USA","active":true,"usgs":false}],"preferred":false,"id":817992,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221221,"text":"70221221 - 2021 - Untargeted lipidomics for determining cellular and sub-cellular responses in Zebrafish (Danio rerio) liver cells following exposure to complex mixtures in U.S. streams","interactions":[],"lastModifiedDate":"2021-06-30T19:03:36.192884","indexId":"70221221","displayToPublicDate":"2021-06-07T07:02:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Untargeted lipidomics for determining cellular and sub-cellular responses in Zebrafish (Danio rerio) liver cells following exposure to complex mixtures in U.S. streams","title":"Untargeted lipidomics for determining cellular and sub-cellular responses in Zebrafish (Danio rerio) liver cells following exposure to complex mixtures in U.S. streams","docAbstract":"Surface waters often contain a variety of chemical contaminants potentially capable of producing adverse outcomes in both humans and wildlife due to impacts from industrial, urban, and agricultural activity. Here, we report the results of a zebrafish liver (ZFL) cell-based lipidomics approach to assess the potential ecotoxicological effects of complex contaminant mixtures using water collected from eight impacted streams across the United States mainland and Puerto Rico. We initially characterized the ZFL lipidome using high resolution mass spectrometry, resulting in the annotation of 508 lipid species covering 27 classes. We then identified lipid changes induced by all streamwater samples (nonspecific stress indicators) as well as those unique to water samples taken from specific streams. Subcellular impacts were classified based on organelle-specific lipid changes, including increased lipid saturation (endoplasmic reticulum stress), elevated bis(monoacylglycero)phosphate (lysosomal overload), decreased ubiquinone (mitochondrial dysfunction), and elevated ether lipids (peroxisomal stress). Finally, we demonstrate how these results can uniquely inform environmental monitoring and risk assessments of surface waters.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.1c01132","usgsCitation":"Zhen, H., Teng, Q., Mosley, J.D., Collette, T.W., Yue, Y., Bradley, P., and Ekman, D.R., 2021, Untargeted lipidomics for determining cellular and sub-cellular responses in Zebrafish (Danio rerio) liver cells following exposure to complex mixtures in U.S. streams: Environmental Science & Technology, v. 55, no. 12, p. 8180-8190, https://doi.org/10.1021/acs.est.1c01132.","productDescription":"11 p.","startPage":"8180","endPage":"8190","ipdsId":"IP-125102","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":451998,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8453666","text":"External Repository"},{"id":386280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Huajun","contributorId":217485,"corporation":false,"usgs":false,"family":"Zhen","given":"Huajun","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":817110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teng, Quincy","contributorId":177969,"corporation":false,"usgs":false,"family":"Teng","given":"Quincy","email":"","affiliations":[],"preferred":false,"id":817111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosley, Jonathan D 0000-0002-9300-6924","orcid":"https://orcid.org/0000-0002-9300-6924","contributorId":259316,"corporation":false,"usgs":false,"family":"Mosley","given":"Jonathan","email":"","middleInitial":"D","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":817112,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collette, Timothy W.","contributorId":217482,"corporation":false,"usgs":false,"family":"Collette","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":817113,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yue, Yang","contributorId":259317,"corporation":false,"usgs":false,"family":"Yue","given":"Yang","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":817114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817115,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ekman, Drew R.","contributorId":217483,"corporation":false,"usgs":false,"family":"Ekman","given":"Drew","email":"","middleInitial":"R.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":817116,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221478,"text":"70221478 - 2021 - Integrating wildlife habitat models with state-and-transitions models to enhance the management of rangelands for multiple objectives","interactions":[],"lastModifiedDate":"2021-06-17T11:51:14.687819","indexId":"70221478","displayToPublicDate":"2021-06-07T06:49:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Integrating wildlife habitat models with state-and-transitions models to enhance the management of rangelands for multiple objectives","docAbstract":"State-and-transition models (STMs) are tools used in rangeland management to describe linear and nonlinear vegetation dynamics as conceptual models. STMs can be improved by including additional ecosystem services, such as wildlife habitat, so that managers can predict how local populations might respond to state changes and to illustrate the tradeoffs in managing for different ecosystem services. Our objective was to incorporate songbird density into an STM developed for sagebrush rangelands in northwest Colorado to guide local management of sagebrush birds. The STM included two shrub-dominated community phases, a native grassland state, and a shrubland and grassland phase within an exotic-dominated state. We surveyed plots for songbirds, collected a suite of vegetation indicators at each plot, and quantified songbird habitat relationships with count-based regression models. We then used the estimated models to predict songbird density based on average vegetation conditions per state or community phase. Moderate or increasing shrub cover were important predictors for shrubland-associated species, and responses to understory components varied by species. In the STM, we predicted higher densities of shrubland-associated bird species in the shrub-dominated phases and higher densities of grassland-associated bird species in the state and phase lacking shrub cover. No single state or phase captured the highest density for all songbirds, illustrating the value of alternative states. Our results also demonstrate the utility of displaying traditional wildlife count models against the range of vegetation conditions associated with each state or phase to understand how wildlife density can vary within states and phases. Our approach can assist land managers to gauge the potential impacts of land-use decisions and natural vegetation variability on wildlife, especially for species of conservation concern.
Understanding the effects of disturbance events, land cover, and weather on wildlife activity is fundamental to wildlife management. Currently, in North America, bats are of high conservation concern due to white-nose syndrome and wind-energy development impact, but the role of fire as a potential additional stressor has received less focus. Although limited, the vast majority of research on bats and fire in the southeastern United States has been conducted during the growing season, thereby creating data gaps for bats in the region relative to overwintering conditions, particularly for non-hibernating species. The longleaf pine (Pinus palustris Mill.) ecosystem is an archetypal fire-mediated ecosystem that has been the focus of landscape-level restoration in the Southeast. Although historically fires predominately occurred during the growing season in these systems, dormant-season fire is more widely utilized for easier application and control as a means of habitat management in the region. To assess the impacts of fire and environmental factors on bat activity on Camp Blanding Joint Training Center (CB) in northern Florida, USA, we deployed 34 acoustic detectors across CB and recorded data from 26 February to 3 April 2019, and from 10 December 2019 to 14 January 2020.
We identified eight bat species native to the region as present at CB. Bat activity was related to the proximity of mesic habitats as well as the presence of pine or deciduous forest types, depending on species morphology (i.e., body size, wing-loading, and echolocation call frequency). Activity for all bat species was influenced positively by either time since fire or mean fire return interval.
Overall, our results suggested that fire use provides a diverse landscape pattern at CB that maintains mesic, deciduous habitat within the larger pine forest matrix, thereby supporting the diverse bat community at CB during the dormant season and early spring.
","language":"English","publisher":"Springer","doi":"10.1186/s42408-021-00105-4","usgsCitation":"Jorge, M., Sweeten, S., TRUE, M.C., Freeze, S.R., Cherry, M.J., Garrison, E., and Ford, W., 2021, Fire, land cover, and temperature drivers of bat activity in winter: Fire Ecology, v. 17, 19, 14 p., https://doi.org/10.1186/s42408-021-00105-4.","productDescription":"19, 14 p.","ipdsId":"IP-121281","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-021-00105-4","text":"Publisher Index Page"},{"id":393580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Clay County","volume":"17","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Jorge, Marcelo H.","contributorId":270608,"corporation":false,"usgs":false,"family":"Jorge","given":"Marcelo H.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweeten, Sara E.","contributorId":270610,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara E.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"TRUE, Michael C.","contributorId":270612,"corporation":false,"usgs":false,"family":"TRUE","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeze, Samuel R.","contributorId":270614,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel","email":"","middleInitial":"R.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Michael J.","contributorId":270616,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":829616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garrison, Elina P.","contributorId":270618,"corporation":false,"usgs":false,"family":"Garrison","given":"Elina P.","affiliations":[{"id":56184,"text":"Florida Fish and Wildlife Conservations Commission","active":true,"usgs":false}],"preferred":false,"id":829617,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829611,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222615,"text":"70222615 - 2021 - NGA-East ground-motion characterization model Part II: Implementation and hazard implications","interactions":[],"lastModifiedDate":"2021-08-09T13:14:26.676694","indexId":"70222615","displayToPublicDate":"2021-06-06T08:11:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"NGA-East ground-motion characterization model Part II: Implementation and hazard implications","docAbstract":"As a companion article to Goulet et al., we describe implementation of the NGA-East ground motion characterization (GMC) model in probabilistic seismic hazard analysis (PSHA) for sites in the Central and Eastern United States (CEUS). We present extensions to the EPRI/DOE/NRC seismic source characterization (SSC) model for the CEUS needed for full implementation of NGA-East. Comparisons are presented to the EPRI GMC, the currently accepted model by the U.S. Nuclear Regulatory Commission for hazard assessment at nuclear facilities. Comparisons are presented both in terms of GMC model components and in the resulting seismic hazard assessments for a range of site locations in the CEUS. Illustrations of the effect of various components of the NGA-East GMC on seismic hazard results are also presented. Finally, we present recommendations for application of the NGA-East GMC in PSHA.