Eastern Bangladesh sits on the seismically active Chittagong-Myanmar fold and thrust belt (CMFB), a north-trending accretionary wedge on the eastern side of the India-Eurasia collision. Earthquakes on the basal décollement and associated thrusts within the CMFB present a hazard to this densely populated region. In this study, we interpret 28 seismic reflection profiles from both published and unpublished sources to constrain the depth of the basal décollement. To convert profiles from the time domain to the depth domain, we integrate sonic log and seismic stacking velocity data to generate time-velocity relationships for different parts of the CMFB. Our analysis reveals that the décollement is ∼9 km deep in northeast and southeast Bangladesh, but shallows to ∼5 km in east-central Bangladesh. The décollement has an area of 7.25 × 104 km2 (∼150 × 450 km), making it capable of an Mw 8.5 earthquake. However, the warped geometry of this fault might act as a rupture barrier were a large earthquake to occur on the décollement. Our combined velocity and fault model lay the groundwork for future studies to address seismic segmentation, ground shaking, and rupture modeling in the CMFB. Finally, we use our compiled data set to analyze the evolution of fold kinematics in the CMFB. We observe that folding style and failure mode varies, from mainly ductile deformation in the foreland to mainly brittle in the hinterland. The dual-failure modes within the CMFB support the hypothesis that a region with ductile deformation may still be capable of seismic behavior.
Invasive species can cause extinctions of native species and widespread biodiversity loss. Invader removal is a common management response, but the use of long-term field experiments to characterize effectiveness of removals in benefitting impacted native species is rare. We used a large-scale removal experiment to investigate the demographic response of a threatened native species, the northern spotted owl, to removal of an invasive competitor species, the barred owl. Removal of barred owls had a strong, positive effect on survival of spotted owls, which arrested long-term population declines of spotted owls. The results demonstrate that the long-term persistence of spotted owls will depend heavily on reducing the negative impacts of barred owls while simultaneously addressing other threats, such as habitat loss.
In 2013, the U.S. Geological Survey began a study in cooperation with the Defense Logistics Agency and the U.S. Air Force to estimate groundwater-flow direction, install groundwater monitoring wells, and collect soil and groundwater samples for petroleum hydrocarbon compounds to identify the presence of hydrocarbon contamination at Ellsworth Air Force Base, South Dakota, specifically around Fuels Area C. Several fuel spills of diesel fuel, jet fuel, and other petroleum products were documented on or near Fuels Area C and several studies have been done to determine the extent of petroleum hydrocarbon contamination in the subsurface.
Two-dimensional electrical resistivity tomography surveys were completed at Fuels Area C in 2014 to characterize subsurface materials and determine the depth to bedrock along survey lines. The depth to the top of the Pierre Shale from land surface along the four electrical resistivity tomography survey lines in Fuels area C ranged from about 5.4 to 8.7 meters. Resistivity lines and lithologic logs in wells in the area indicated mostly clay material with minor occurrences of sand and gravel.
Discrete groundwater levels were collected between November 2014 and June 2018 at 14 monitoring wells for use in generating a potentiometric surface in the study area around Fuels Area C. The potentiometric contours indicated that groundwater flow was from the west to east or southwest to southeast around Fuels Area C.
Soil and groundwater samples were collected at selected locations from 2014 to 2018 to better understand the presence and movement of petroleum hydrocarbons in the study area around Fuels Area C. Soil samples were collected at eight wells during installation in 2014 and three wells during installation in 2016. Groundwater samples were collected from 14 wells and a recovery sump around Fuels Area C from 2014 to 2018.
Several petroleum hydrocarbon compounds were detected, but below action levels, in soil samples collected in 2014 and 2016. Benzene and toluene were not detected in any of the soil samples from the 11 monitoring well sites. Ethylbenzene and total xylenes were detected at sites 1 and 7. Naphthalene was detected in samples from five sites (sites 1, 5, 7, 8, and 9), but concentrations were less than the Tier 1 action level of 25 milligrams per kilogram.
Gasoline-range organic compounds were detected in all soil samples collected during the installation of 11 groundwater monitoring wells within or near Fuels Area C in 2014 and 2016. Diesel-range organic compounds were detected in 9 out of the 11 soil samples collected at the 11 monitoring wells. Gasoline-range organic compound concentrations exceeded the Tier 2 assessment level for total petroleum hydrocarbons in soil samples from site 1 (5,200 milligrams per kilogram), site 5 (580 milligrams per kilogram), and site 9 (1,800 milligrams per kilogram); the remaining sites had concentrations below the Tier 2 assessment level for total petroleum hydrocarbons. The highest concentrations of diesel-range organic compounds in soil samples were from site 1 (3,600 milligrams per kilogram), site 5 (440 milligrams per kilogram), and site 14 (330 milligrams per kilogram), and only the sample from site 1 exceeded the Tier 2 assessment level for total petroleum hydrocarbons.
Petroleum hydrocarbon concentrations were measured in samples collected from 14 groundwater monitoring wells and 1 recovery sump between 2014 and 2018 in the study area around Fuels Area C. Benzene, toluene, ethylbenzene, and xylene (BTEX) compounds were detected in at least one sample collected from 10 of the 15 sites sampled in the study area from 2014 to 2018. Samples from monitoring well sites 2, 3, 6, 8, and 9 did not have any quantifiable concentrations of BTEX compounds. Multiple BTEX compounds were detected consistently in samples collected from sites 10 and 11. Few BTEX compounds were detected at sites outside of and downgradient from Fuels Area C (sites 12–14). Naphthalene was detected in 8 of the 15 sites sampled in the study area in 2014–18. Measurable concentrations of naphthalene generally were less than 5 micrograms per liter in wells sampled in the study area in 2014–18 except for samples collected at sites 5, 7, and 11.
The variability of the presence of BTEX compounds and naphthalene in wells sampled in the study area during 2014–18 likely is caused by the variability in the subsurface material, local groundwater flow, operational fueling activities, and historical spills and releases in the area. The spatial and temporal variability in the BTEX compounds and naphthalene concentrations from samples collected from 2014 to 2018 do not indicate a consistent pattern of subsurface flow or contaminate movement that would be expected if a contaminant plume migrated with the flow and movement of groundwater.
Gasoline-range organic and diesel-range organic compounds were detected in most of the groundwater samples collected in the study area around Fuels Area C in 2014–18; however, concentrations were often less than the laboratory reporting level. Median gasoline-range organic compound concentrations were greater than the laboratory reporting level at sites 1, 5, 9, 10, and 11. The highest concentrations of gasoline-range organic and diesel-range organic compounds generally were observed in samples collected from sites 10 and 11. Gasoline-range organic compound concentrations ranged from 1,500 to 9,700 micrograms per liter at site 10 and from less than 100 to 13,000 micrograms per liter at site 11. Diesel-range organic compound concentrations ranged from 9,600 to 55,000 micrograms per liter at site 10 and from 560 to 7,300 micrograms per liter at site 11.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215060","collaboration":"Prepared in cooperation with Defense Logistics Agency and Ellsworth Air Force Base","usgsCitation":"Bender, D.A., Galloway, J.M., and Medler, C.J., 2021, Groundwater assessment for petroleum hydrocarbon compounds associated with Fuels Area C, Ellsworth Air Force Base, South Dakota, 2014–18: U.S. Geological Survey Scientific Investigations Report 2021–5060, 37 p., https://doi.org/10.3133/sir20215060.","productDescription":"Report: vi, 37 p.; Appendix Table; Data Release; Dataset","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-123385","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":387602,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5060/coverthb.jpg"},{"id":387603,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5060/sir20215060.pdf","text":"Report","size":"6.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5060"},{"id":387606,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XSJH17","text":"USGS data release","linkHelpText":"Electrical Resistivity Tomography (ERT) and Horizontal-to-Vertical Spectral Ratio (HVSR) data collected within and near Ellsworth Air Force Base, South Dakota, from 2014 to 2019"},{"id":387605,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5060/sir20215060_table2.1.csv","text":"Table 2.1","size":"28.0 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2021–5060 Appendix Table 2.1","linkHelpText":"— Appendix table 2.1 Water-quality results for groundwater samples collected from 14 monitoring wells in the study area around Fuels Area C, 2014–18"},{"id":387604,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5060/sir20215060_table2.1.xlsx","text":"Table 2.1","size":"42.5 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2021–5060 Appendix Table 2.1","linkHelpText":"— Appendix table 2.1 Water-quality results for groundwater samples collected from 14 monitoring wells in the study area around Fuels Area C, 2014–18"},{"id":387607,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"}],"country":"United States","state":"South Dakota","otherGeospatial":"Ellsworth 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 -103.15235137939453,\n 44.104598040381106\n ],\n [\n -103.03321838378906,\n 44.104598040381106\n ],\n [\n -103.03321838378906,\n 44.17974184575526\n ],\n [\n -103.15235137939453,\n 44.17974184575526\n ],\n [\n -103.15235137939453,\n 44.104598040381106\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
Moose (Alces alces) have experienced considerable declines along the periphery of their range in the northeastern United States. In Vermont, the population declined 45% from 2010 to 2017 despite minimal hunter harvest and adequate habitat. Similarly, nearby populations recently experienced epizootics characterized by >50% mortality. Declines have largely been associated with the effects of winter ticks (Dermacentor albipictus), but uncertainty exists about the effects of environmental and other parasite-related conditions on moose survival. We examined patterns of moose survival among a radio-collared population (n = 127) in Vermont from 2017 to 2019. Our objectives were to estimate causes of mortality and model survival probability as a function of individual and landscape variables for calves (<1 yr) and adults (≥1 yr). Observed adult survival was 90% in 2017, 84% in 2018, and 86% in 2019, and winter calf survival was 60% in 2017, 50% in 2018, and 37% in 2019. Winter tick infestation was the primary cause of mortality (91% of calves, 25% of adults), and 32% of all mortalities had evidence of meningeal worm (Parelaphostrongylus tenuis). Other sources of mortality such as vehicles, harvest, predation, deep snow, and other parasitic infections were negligible. The best supported calf model included sex differences and negative effects of tick engorgement (%/week) and parasite level (roundworm and lungworm). The best supported adult model included the effect of cumulative tick engorgement (cumulative %/week), which negatively affected survival. Our results indicate that winter tick engorgement strongly affects survival, and is probably compounded by the presence of meningeal worm and other parasites. Reduced tick effects may be achieved by decreasing moose density through harvest and managing late winter habitat to minimize tick density. Management of white-tailed deer (Odocoileus virginianus) density may also affect the transmission of meningeal worm.
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Vermont","active":true,"usgs":false}],"preferred":false,"id":834756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexander, Cedric","contributorId":278589,"corporation":false,"usgs":false,"family":"Alexander","given":"Cedric","affiliations":[],"preferred":false,"id":834819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gieder, Katherina D.","contributorId":34426,"corporation":false,"usgs":true,"family":"Gieder","given":"Katherina","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cottrell, Walter","contributorId":276326,"corporation":false,"usgs":false,"family":"Cottrell","given":"Walter","email":"","affiliations":[{"id":56957,"text":"Northeast Diseach Cooperative","active":true,"usgs":false}],"preferred":false,"id":834758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murdoch, James","contributorId":276325,"corporation":false,"usgs":false,"family":"Murdoch","given":"James","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":834757,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Donovan, Therese M. 0000-0001-8124-9251 tdonovan@usgs.gov","orcid":"https://orcid.org/0000-0001-8124-9251","contributorId":204296,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834752,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70223255,"text":"70223255 - 2021 - Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities","interactions":[],"lastModifiedDate":"2021-08-19T16:18:58.013126","indexId":"70223255","displayToPublicDate":"2021-08-02T11:17:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities","docAbstract":"Post-fire hydrologic research typically focuses on the first few years after a wildfire, leading to substantial uncertainty regarding the longevity of impacts. The time needed for hydrologic function to return to pre-fire conditions is critical information for post-fire land and water management decisions. This is particularly true in Mediterranean climates, where water is scarce and in high demand, and the severity and area burned by wildfires are increasing. In part, uncertainty about hydrologic recovery is due to lack of a consistent definition or interpretation of what constitutes “recovery.” Here, we systematically reviewed empirical studies from Mediterranean climates with at least three years of post-fire hydrologic data with the objectives of (a) assessing the recovery period, (b) identifying a definition of post-fire hydrologic recovery, (c) demonstrating a simple analytical approach to aid in assessment of recovery, and (d) outlining research needs and opportunities to better quantify post-fire recovery. We assessed the hydrologic effects reported in 38 sites that were monitored for 3–20 years. Eighteen sites were considered recovered within seven years; however, the recovery time was inconsistent across sites and was not related to location, response variable, or study design. The likelihood of recovery within the study period also decreased with increasing proportion of the watershed area burned. Importantly, we have also proposed a standardized definition and an approach to quantifying hydrologic recovery that may facilitate cross-study comparisons and a deeper understanding of recovery. Specifically, we propose hydrologic recovery has occurred when a specific post-fire hydrologic function or condition of interest returns to the 95% confidence interval of the pre-fire condition. In support of this definition, we have demonstrated applying this simple approach to assess recovery and presented future research topics to improve our understanding of long-term post-fire catchment responses. In addition to the need for more studies that quantify hydrologic responses farther into the post-fire period, understanding post-fire changes in soil structural and hydraulic properties through time will improve our mechanistic understanding of post-fire hydrologic responses and recovery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2021.126772","usgsCitation":"Wagenbrenner, J.W., Ebel, B., Bladon, K.D., and Kinoshita, A.M., 2021, Post-wildfire hydrologic recovery in Mediterranean climates: A systematic review and case study to identify current knowledge and opportunities: Journal of Hydrology, v. 602, 126772, 16 p., https://doi.org/10.1016/j.jhydrol.2021.126772.","productDescription":"126772, 16 p.","ipdsId":"IP-105958","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":451295,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2021.126772","text":"Publisher Index Page"},{"id":388160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"602","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wagenbrenner, Joseph W. 0000-0003-3317-5141","orcid":"https://orcid.org/0000-0003-3317-5141","contributorId":264444,"corporation":false,"usgs":false,"family":"Wagenbrenner","given":"Joseph","email":"","middleInitial":"W.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":821535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":821536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bladon, Kevin D. 0000-0002-4182-6883","orcid":"https://orcid.org/0000-0002-4182-6883","contributorId":264447,"corporation":false,"usgs":false,"family":"Bladon","given":"Kevin","email":"","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":821537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinoshita, Alicia M.","contributorId":245287,"corporation":false,"usgs":false,"family":"Kinoshita","given":"Alicia","email":"","middleInitial":"M.","affiliations":[{"id":49134,"text":"San Diego State University, California","active":true,"usgs":false}],"preferred":false,"id":821538,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216953,"text":"ofr20201097 - 2021 - Forest area to support landbird population goals for the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2024-03-04T18:26:39.337253","indexId":"ofr20201097","displayToPublicDate":"2021-08-02T10:40:00","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":"2020-1097","displayTitle":"Forest Area to Support Landbird Population Goals for the Mississippi Alluvial Valley","title":"Forest area to support landbird population goals for the Mississippi Alluvial Valley","docAbstract":"Historically, the Mississippi Alluvial Valley (MAV) (Partners in Flight Bird Conservation Region #26) was predominantly bottomland hardwood forest, but natural vegetation has been cleared from about 80 percent of this ecoregion and converted primarily to agriculture. Because most bird species that are of conservation concern in this region are dependent on forested wetlands, bottomland hardwood forest is the habitat of greatest conservation concern in the MAV. Past conservation planning for forest-dwelling birds in this region has focused on habitat objectives with presumptions regarding bird population goals being met through habitat provision. To better define population objectives, we estimated current populations of silvicolous birds on the basis of detections during 10 years of North American Breeding Bird Surveys (BBS). For each species, we used their estimated population and historical (1966–2015) change in their relative abundance, as assessed from BBS data, to establish regional population goals. We used the variance associated with historical BBS trends to estimate the minimum forest area required to sustain greater than or equal to (≥) 25 breeding pairs, which we combined with predicted probability of occupancy to identify sustainable forested habitat. For 54 species, we used published empirical density estimates, as affected by forest management, to estimate the proportion of the population objective that could be provisioned within sustainable forest patches. The area of presumed population-sustaining habitat, under existing forest management, was sufficient to support the species’ population objective for 23 species. We estimated that the target populations of seven additional species (Black-and-white Warbler, Brown Thrasher, Cerulean Warbler, Eastern Towhee, Indigo Bunting, Wood Thrush, and Yellow-breasted Chat) could be supported by current forest area through widespread changes in forest management. Target populations of seven other species (American Robin, Barred Owl, Boat-tailed Grackle, Chipping Sparrow, Eastern Phoebe, Mississippi Kite, and Red-headed Woodpecker) were accommodated within the MAV when populations in both forest and nonforest habitats are considered. For the remaining 20 species, we estimated the population increase needed to achieve their population goals. For these species, we estimated the additional area of forest restoration required to achieve their population goal within sustainable forest patches or, alternatively, the additional area of occupied habitat required to support their population goal within both forest and nonforest habitat. An additional 700,000 hectares of sustainable forest habitat may be enough to attain the forest-dependent population goals for most bird species within the MAV.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201097","collaboration":"Prepared in cooperation with the Lower Mississippi Valley Joint Venture","usgsCitation":"Twedt, D.J., and Mini, A., 2021, Forest area to support landbird population goals for the Mississippi Alluvial Valley (ver. 1.1, August 2021): U.S. Geological Survey Open-File Report 2020–1097, 84 p., https://doi.org/10.3133/ofr20201097.","productDescription":"Report: vi, 75 p.; 2 Appendixes; Version History","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-112336","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":436253,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YMSM8I","text":"USGS data release","linkHelpText":"Eastern Ecological Science CenterxLegacy Data ReleasesPatuxent Wildlife Research CenterPredicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region Predicted Avian Species Occupancy, Area of Sustainable Forest Habitat, and Area of Occupied Habitat within the Mississippi Alluvial Valley Bird Conservation Region"},{"id":436252,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AFKXXK","text":"USGS data release","linkHelpText":"Stop locations along Breeding Bird Survey routes in the Gulf Coastal Plains &amp;amp; Ozarks region"},{"id":381438,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1097/ofr20201097.pdf","text":"Report","size":"2.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1097"},{"id":387552,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1097/versionHist.txt","size":"519 B","linkFileType":{"id":2,"text":"txt"}},{"id":381541,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://doi.org/10.5066/P9YMSM8I","text":"Appendixes 7, 8, and 9","linkHelpText":"- Predicted avian species occupancy"},{"id":381539,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://doi.org/10.5066/P9AFKXXK","text":"Appendixes 2 and 3","linkHelpText":"- Bird detections during North American Breeding Bird Surveys"},{"id":381437,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1097/coverthb3.jpg"}],"country":"United States","state":"Arkansas, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Mississippi Alluvial Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.76953125,\n 36.932330061503144\n ],\n [\n -89.80224609374999,\n 37.142803443716836\n ],\n [\n -90.06591796875,\n 37.055177106660814\n ],\n [\n -92.04345703125,\n 34.63320791137959\n ],\n [\n -91.91162109375,\n 32.47269502206151\n ],\n [\n -92.197265625,\n 30.41078179084589\n ],\n [\n -90.06591796875,\n 29.22889003019423\n ],\n [\n -89.4287109375,\n 30.012030680358613\n ],\n [\n -91.1865234375,\n 31.372399104880525\n ],\n [\n -90.63720703125,\n 32.565333160841035\n ],\n [\n -89.7802734375,\n 33.46810795527896\n ],\n [\n -89.7802734375,\n 34.615126683462194\n ],\n [\n -88.76953125,\n 36.932330061503144\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: August 2021; Version 1.0: February 2021","contact":"Director, Eastern Ecological Science Center
U.S. Geological Survey
12100 Beech Forest Road
Laurel, MD 20708
Atlantic sturgeon (Acipenser oxyrinchus oxyrinchus) is a long-lived, anadromous species that is broadly distributed along the Atlantic coast of North America. Historic overharvest and habitat degradation resulted in significant declines to Atlantic sturgeon populations and, following decades of limited recovery, the species was listed under the Endangered Species Act of the United States in 2012. Given continued threats to recovery and limited information about population demography, there is a need for new tools to assist in Atlantic sturgeon conservation. Here, we present a range-wide microsatellite genetic baseline for North American Atlantic sturgeon that is comprised of 2510 individuals from 18 genetically distinct groups collected in 13 rivers and one estuary. Analysis of this baseline suggested that populations from the northern range of Atlantic sturgeon were more highly differentiated than those from the southern extent, where patterns of differentiation were complicated by rivers with genetically distinct spring and fall spawning runs and less geographic distance separating populations. Despite significant demographic bottleneck events, all populations showed at least moderate levels of genetic diversity across a suite of metrics. Additionally, individual-based assignment tests had over 80% accuracy for assigning individuals to their river of origin, highlighting the utility of this baseline for characterizing the composition of mixed-stock aggregations and understanding stock-specific vulnerability and recovery. The expanded spatial coverage of this baseline dataset enabled novel inferences about patterns of genetic differentiation and spawning phenology in Atlantic sturgeon which can be used to support conservation and management efforts.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-021-01390-x","usgsCitation":"White, S.L., Kazyak, D., Darden, T.L., Farrae, D.J., Lubinski, B.A., Johnson, R.L., Eackles, M.S., Balazik, M., Brundage, H., Fox, A.G., Fox, D.A., Hager, C.H., Kahn, J.E., and Wirgin, I.I., 2021, Establishment of a microsatellite genetic baseline for North American Atlantic sturgeon (Acipenser o. oxyrhinchus) and range-wide analysis of population genetics: Conservation Genetics, v. 22, p. 977-992, https://doi.org/10.1007/s10592-021-01390-x.","productDescription":"16 p.","startPage":"977","endPage":"992","ipdsId":"IP-124759","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":387815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n 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Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":820843,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hager, Chris H","contributorId":263429,"corporation":false,"usgs":false,"family":"Hager","given":"Chris","email":"","middleInitial":"H","affiliations":[{"id":53979,"text":"Chesapeake Scientific","active":true,"usgs":false}],"preferred":false,"id":820844,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kahn, Jason E","contributorId":263430,"corporation":false,"usgs":false,"family":"Kahn","given":"Jason","email":"","middleInitial":"E","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":820845,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wirgin, Isaac 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based on stable isotopes","docAbstract":"Estuaries exist across a large climatic gradient in the northwestern Gulf of Mexico, capturing a range of hydrologic conditions and estuarine functioning. We examined freshwater inflow, salinity, and stable isotope compositions (δ13C, δ15N) of oysters, suspended particulate organic matter (SPOM), and surface sediment organic matter (SSOM) from five estuaries across the hydrologic gradient. All five estuaries experienced large decreases in freshwater inflow over the last 40 yr, with three estuaries being subject to freshwater inflow reductions of more than 85%. Generally, these freshwater inflow decreases were associated with estuarine salinity increases. Across the spatial gradient, average salinity generally increased from northeast to southwest estuaries. SPOM in the northeastern, lower salinity estuaries generally contained more continental organic matter and was of higher quality (i.e., lower C/chlorophyll a ratio), as compared to southwestern, higher salinity estuaries. Similarly, both SSOM and oyster δ13C values were positively correlated with salinity, further highlighting that food webs in lower salinity estuaries are more greatly influenced by continental organic matter than those in higher salinity estuaries. A decrease in the connectivity between continental and coastal habitats may have broad consequences for flows of organic matter, and estuarine function and health. Conducting studies across large-scale hydrologic gradients can provide a useful approach to informing and predicting shifts in estuarine functioning.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11899","usgsCitation":"Marshall, D.A., La Peyre, M., Palmer, T.A., Guillou, G., Sterba-Boatwright, B., Beseres Pollack, J., and Lebreton, B., 2021, Freshwater inflow and responses from estuaries across a climatic gradient: An assessment of northwestern Gulf of Mexico estuaries based on stable isotopes: Limnology and Oceanography, v. 66, no. 9, p. 3568-3581, https://doi.org/10.1002/lno.11899.","productDescription":"14 p.","startPage":"3568","endPage":"3581","ipdsId":"IP-113690","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, Texas","otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -98.4375,\n 26.27371402440643\n ],\n [\n -92.021484375,\n 26.27371402440643\n ],\n [\n -92.021484375,\n 30.637912028341123\n ],\n [\n -98.4375,\n 30.637912028341123\n ],\n [\n -98.4375,\n 26.27371402440643\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, D. A.","contributorId":279600,"corporation":false,"usgs":false,"family":"Marshall","given":"D.","email":"","middleInitial":"A.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":835195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835196,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmer, Terrence A.","contributorId":279657,"corporation":false,"usgs":false,"family":"Palmer","given":"Terrence","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":835284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guillou, Gael","contributorId":279658,"corporation":false,"usgs":false,"family":"Guillou","given":"Gael","email":"","affiliations":[],"preferred":false,"id":835285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sterba-Boatwright, Blair","contributorId":98866,"corporation":false,"usgs":true,"family":"Sterba-Boatwright","given":"Blair","email":"","affiliations":[],"preferred":false,"id":835286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beseres Pollack, Jennifer","contributorId":258317,"corporation":false,"usgs":false,"family":"Beseres Pollack","given":"Jennifer","email":"","affiliations":[{"id":52274,"text":"Harte Research Institute for Gulf of Mexico Studies","active":true,"usgs":false}],"preferred":false,"id":835197,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lebreton, B.","contributorId":279601,"corporation":false,"usgs":false,"family":"Lebreton","given":"B.","email":"","affiliations":[{"id":57312,"text":"University of La Rochelle","active":true,"usgs":false}],"preferred":false,"id":835198,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222414,"text":"sim3472 - 2021 - Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California","interactions":[{"subject":{"id":17516,"text":"ofr92189 - 1992 - Preliminary geologic map of Santa Maria 30' x 60' quadrangle, California","indexId":"ofr92189","publicationYear":"1992","noYear":false,"title":"Preliminary geologic map of Santa Maria 30' x 60' quadrangle, California"},"predicate":"SUPERSEDED_BY","object":{"id":70222414,"text":"sim3472 - 2021 - Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California","indexId":"sim3472","publicationYear":"2021","noYear":false,"title":"Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California"},"id":1},{"subject":{"id":21108,"text":"ofr9525 - 1995 - Preliminary digital geologic map of the Santa Maria 30' x 60' Quadrangle, California, in ARC/INFO, with exploration well locations and subsurface formation depths","indexId":"ofr9525","publicationYear":"1995","noYear":false,"title":"Preliminary digital geologic map of the Santa Maria 30' x 60' Quadrangle, California, in ARC/INFO, with exploration well locations and subsurface formation depths"},"predicate":"SUPERSEDED_BY","object":{"id":70222414,"text":"sim3472 - 2021 - Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California","indexId":"sim3472","publicationYear":"2021","noYear":false,"title":"Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California"},"id":2}],"lastModifiedDate":"2021-08-03T11:47:53.611967","indexId":"sim3472","displayToPublicDate":"2021-08-02T09:30:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3472","displayTitle":"Geologic and Geophysical Maps of the Santa Maria and Part of the Point Conception 30'×60' Quadrangles, California","title":"Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California","docAbstract":"This report presents digital geologic, gravity, and aeromagnetic maps for the onshore parts of the Santa Maria and Point Conception 30'x60' quadrangles at a compilation scale of 1:100,000. The map depicts the distribution of bedrock units, surficial deposits, paleontological data, geophysical data and structural features in the Santa Maria basin and the Santa Ynez Mountains to the south, an area corresponding to 26 contiguous 7.5-minute quadrangles. The map also includes offshore faults from the Hosgri fault, a major structural feature, east to the shoreline. This new map revises and supersedes two earlier versions of the 30'x60' Santa Maria quadrangle that were produced as part of the U.S. Geological Survey’s investigations of onshore oil and gas resources of the Santa Maria province (Keller, 1995). The first map was released as a scanned black-and-white image of hand-drawn compilation (Tennyson, 1992); the second map was a digital release that is no longer available (Tennyson and others, 1995). This new map also includes the geology of the onshore part of the adjacent Point Conception 30'x60' quadrangle that encompasses the Santa Ynez Mountains of the western Transverse Ranges. The digital database also contains magnetic and gravity data for the entire region, paleontological data, and interpretation of major offshore structural features that bear on the continuity and connection of the mapped onshore structures.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3472","usgsCitation":"Sweetkind, D.S., Langenheim, V.E., McDougall-Reid, K., Sorlien, C.C., Demas, S.C., Tennyson, M.E., and Johnson, S.Y., 2021, Geologic and geophysical maps of the Santa Maria and part of the Point Conception 30'×60' quadrangles, California: U.S. Geological Survey Scientific Investigations Map 3472, 1 sheet, scale 1:100,000, 58-p. pamphlet, https://doi.org/10.3133/sim3472. [Supersedes USGS Open-File Reports 95–25 and 92–189.]","productDescription":"Report: vi, 58 p.; 9 Sheets: 57.14 x 35.04 inches or smaller; Data Release; ReadMe; Related Works","onlineOnly":"Y","ipdsId":"IP-054681","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":387551,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181024","linkHelpText":"California State Waters Map Series — Offshore of Point Conception, California"},{"id":387550,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3319","linkHelpText":"California State Waters Map Series: offshore of Refugio Beach, California"},{"id":387548,"rank":13,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FU7SJL","text":"USGS data release","linkHelpText":"Data release -- geologic and geophysical maps of the onshore parts of the Santa Maria and Point Conception 30' x 60' quadrangles, California"},{"id":387547,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3472/sim3472_base.pdf","text":"Base Map","size":"9.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3472 Base Map","linkHelpText":"This file is embedded in the multilayered, interactive, geospatial PDF file"},{"id":387545,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3472/sim3472_aeromag_total.pdf","text":"Aeromagnetic: Total","size":"6.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3472 Aeromagnetic: Total","linkHelpText":"This file is embedded in the multilayered, interactive, geospatial PDF 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MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3472 Multilayered, interactive, geospatial PDF","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.16271972656249,\n 34.266296360583546\n ],\n [\n -119.8443603515625,\n 34.266296360583546\n ],\n [\n -119.8443603515625,\n 34.93548199355901\n ],\n [\n -121.16271972656249,\n 34.93548199355901\n ],\n [\n -121.16271972656249,\n 34.266296360583546\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046
Earthquakes were induced in the Fort Worth Basin from 2008 through 2020 by increase in pore pressure from injection of oilfield wastewater (SWD). In this region and elsewhere, a missing link in understanding the mechanics of causation has been a lack of comprehensive models of pore pressure evolution (ΔPp) from SWD. We integrate detailed earthquake catalogs, ΔPp, and probabilistic fault slip potential (FSP) and find that faults near large-scale SWD operations became unstable early, when ΔPp reached ∼0.31 MPa and FSP reached 0.24. Faults farther from SWD became unstable later, when FSP reached 0.17 and at much smaller ΔPp. Earthquake sequences reactivated with mean ΔPp of ∼0.05 MPa. The response of faults shows strong variability, with many remaining stable at higher ΔPp and few that became seismogenic at smaller changes. As ΔPp spread regionally, an ever-increasing number of faults were impacted and the most sensitive became unstable.
Inland lakes are socially and ecologically important components of many regional landscapes. Exploring lake responses to plausible future climate scenarios can provide important information needed to inform stakeholders of likely effects of hydrologic changes on these waterbodies in coming decades. To assess potential climate effects on lake hydrology, we combined a previously published spatially explicit, processed-based hydrologic modeling framework implemented over the lake-rich landscape of the Northern Highlands Lake District within the United States with an ensemble of climate change scenarios for the 2050s (2041–2070) and 2080s (2071–2100). Model results quantify the effects of climate change on water budgets and lake stage elevations for 3692 lakes and highlight the importance of landscape and hydrologic setting for the response of specific lake types to climate change. All future climate projections resulted in loss of ice cover and snowpack as well as increased evaporation, but variability in climate projections (warmer conditions, wet winters combined with wet or dry summers) interacted with lake characteristics and landscape position to produce variable lake hydrologic changes. Water levels for drainage lakes (lakes with substantial surface water inflows and outflows) showed nearly no change, whereas minimum water levels for seepage lakes (minimal surface water fluxes) decreased by an average of up to 2.64 m by the end of the 21st century. Our physically based modeling approach is parsimonious and computationally efficient and can be applied to other lake-rich regions to investigate interregional variability in lake hydrologic response to future climate scenarios.
Beginning in 2015, the United States Environmental Protection Agency’s (EPA’s) National Estuary Program (NEP) started a collaboration with partners in seven estuaries along the East Coast (Barnegat Bay; Casco Bay), West Coast (Santa Monica Bay; San Francisco Bay; Tillamook Bay), and the Gulf of Mexico (GOM) Coast (Tampa Bay; Mission-Aransas Estuary) of the United States to expand the use of autonomous monitoring of partial pressure of carbon dioxide (pCO2) and pH. Analysis of high-frequency (hourly to sub-hourly) coastal acidification data including pCO2, pH, temperature, salinity, and dissolved oxygen (DO) indicate that the sensors effectively captured key parameter measurements under challenging environmental conditions, allowing for an initial characterization of daily to seasonal trends in carbonate chemistry across a range of estuarine settings. Multi-year monitoring showed that across all water bodies temperature and pCO2 covaried, suggesting that pCO2 variability was governed, in part, by seasonal temperature changes with average pCO2 being lower in cooler, winter months and higher in warmer, summer months. Furthermore, the timing of seasonal shifts towards increasing (or decreasing) pCO2 varied by location and appears to be related to regional climate conditions. Specifically, pCO2 increases began earlier in the year in warmer water, lower latitude water bodies in the GOM (Tampa Bay; Mission-Aransas Estuary) as compared with cooler water, higher latitude water bodies in the northeast (Barnegat Bay; Casco Bay), and upwelling-influenced West Coast water bodies (Tillamook Bay; Santa Monica Bay; San Francisco Bay). Results suggest that both thermal and non-thermal influences are important drivers of pCO2 in Tampa Bay and Mission-Aransas Estuary. Conversely, non-thermal processes, most notably the biogeochemical structure of coastal upwelling, appear to be largely responsible for the observed pCO2 values in West Coast water bodies. The co-occurrence of high salinity, high pCO2, low DO, and low temperature water in Santa Monica Bay and San Francisco Bay characterize the coastal upwelling paradigm that is also evident in Tillamook Bay when upwelling dominates freshwater runoff and local processes. These data demonstrate that high-quality carbonate chemistry observations can be recorded from estuarine environments using autonomous sensors originally designed for open-ocean settings.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2021.679913","usgsCitation":"Rosenau, N.A., Galavotti, H., Yates, K.K., Bohlen, C., Hunt, C.W., Liebman, M., Brown, A.C., Pacella, S.R., John L. Largier, Nielsen, K., Hu, X., McCutcheon, M., Vasslides, J., Poach, M., Ford, T., Johnston, K., and Steele, A., 2021, Integrating high-resolution coastal acidification monitoring data across seven United States estuaries: Frontiers in Marine Science, v. 8, 679913, 21 p., https://doi.org/10.3389/fmars.2021.679913.","productDescription":"679913, 21 p.","ipdsId":"IP-122630","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":451308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2021.679913","text":"Publisher Index Page"},{"id":408298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Florida, Maine, New Jersey, Oregon, Texas,","otherGeospatial":"Aransas Estuary, Barnegat Bay, Casco Bay Estuary, Coastal Bend Bay, San Francisco Bay Estuary, Santa Monica Bay, Tampa Bay 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Program","active":true,"usgs":false}],"preferred":false,"id":854552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly K. 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":214349,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","email":"","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":854553,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohlen, Curtis","contributorId":259168,"corporation":false,"usgs":false,"family":"Bohlen","given":"Curtis","email":"","affiliations":[],"preferred":false,"id":854586,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Christopher W.","contributorId":176421,"corporation":false,"usgs":false,"family":"Hunt","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":854587,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liebman, Matthew","contributorId":215156,"corporation":false,"usgs":false,"family":"Liebman","given":"Matthew","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":854588,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, A Cheryl Cheryl","contributorId":115744,"corporation":false,"usgs":true,"family":"Brown","given":"A","suffix":"Cheryl","email":"","middleInitial":"Cheryl","affiliations":[],"preferred":false,"id":854589,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pacella, Stephen R.","contributorId":259179,"corporation":false,"usgs":false,"family":"Pacella","given":"Stephen","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":854590,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"John L. Largier","contributorId":219342,"corporation":false,"usgs":false,"family":"John L. Largier","affiliations":[{"id":39994,"text":"Bodega Marine Laboratory, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":854591,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nielsen, Karina","contributorId":259175,"corporation":false,"usgs":false,"family":"Nielsen","given":"Karina","email":"","affiliations":[],"preferred":false,"id":854592,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hu, Xinping 0000-0002-0613-6545","orcid":"https://orcid.org/0000-0002-0613-6545","contributorId":297889,"corporation":false,"usgs":false,"family":"Hu","given":"Xinping","email":"","affiliations":[{"id":64434,"text":"Harte Research Institute for Gulf of Mexico Studies, Texas A&M University-Corpus Christi, US","active":true,"usgs":false}],"preferred":false,"id":854593,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McCutcheon, Melissa","contributorId":259169,"corporation":false,"usgs":false,"family":"McCutcheon","given":"Melissa","affiliations":[],"preferred":false,"id":854594,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vasslides, James","contributorId":243603,"corporation":false,"usgs":false,"family":"Vasslides","given":"James","email":"","affiliations":[{"id":48751,"text":"Barnegat Bay Partnership","active":true,"usgs":false}],"preferred":false,"id":854595,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Poach, Matthew","contributorId":259167,"corporation":false,"usgs":false,"family":"Poach","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":854596,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ford, Tom","contributorId":259176,"corporation":false,"usgs":false,"family":"Ford","given":"Tom","email":"","affiliations":[],"preferred":false,"id":854597,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Johnston, Karina","contributorId":247792,"corporation":false,"usgs":false,"family":"Johnston","given":"Karina","email":"","affiliations":[{"id":49654,"text":"The Bay Foundation","active":true,"usgs":false}],"preferred":false,"id":854598,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Steele, Alex","contributorId":140907,"corporation":false,"usgs":false,"family":"Steele","given":"Alex","email":"","affiliations":[{"id":13610,"text":"County Sanitation District of Los Angeles County, Whittier, CA","active":true,"usgs":false}],"preferred":false,"id":854599,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70228691,"text":"70228691 - 2021 - Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU","interactions":[],"lastModifiedDate":"2024-03-22T16:56:27.188275","indexId":"70228691","displayToPublicDate":"2021-08-01T11:47:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU","docAbstract":"The portion of the Snake River fall Chinook salmon Oncorhynchus tshawytscha evolutionary significant unit (ESU) that spawns upstream of Lower Granite Dam transitioned from low to high abundance during 1992–2020 in response to U.S. Endangered Species Act recovery efforts and other federally mandated actions. This annual report focuses on changes in population abundance and habitat use by natural- and hatchery-origin spawners. Typically, we also report on population attributes of natural-origin juveniles, but data on juveniles were not collected in 2020 due to Covid-19. Spawners have located and used most of the available spawning habitat and that habitat is gradually approaching the point that no more redds can be supported. Timing of spawning and fry emergence have been relatively stable, but effects of density dependence are evident in juvenile life stages. Apparent abundance of juvenile fall Chinook salmon has increased and we noted the following changes: parr dispersal from riverine rearing habitat into Lower Granite Reservoir has become earlier; growth rate (g/d) and dispersal size of parr has declined; and passage timing of smolts from the two Snake River reaches has become earlier and downstream movement rate has increased. These findings coupled with stock-recruitment analyses presented in this report provide evidence for density-dependence in the Snake River reaches and in Lower Granite Reservoir resulting from the expansion of the recovery program. The long-term goal is to use this information in a comprehensive modeling effort to conduct action-effectiveness and uncertainty research and to inform Fish Population, Hydrosystem, Harvest, Hatchery, and Predation and Invasive Species Management Research, Monitoring, and Evaluation (RM&E) programs.
In 2020, the U.S. Geological Survey (USGS) focused survey efforts in the Snake River on deepwater redd searches and fish collection for parentage-based tagging (PBT) analyses. We use a boat-mounted underwater video camera to count 170 deepwater redds at 19 of the 28 sites surveyed. Redd depths averaged 4.2 m. We collected genetic samples from 297 live fall Chinook salmon and 16 carcasses at 44 unique geographic locations that spanned 89 river kilometers. Seventy-two fish were recovered at Eureka Bar (rkm 307.1) and Corral Creek (rkm 349.7), which accounted for 23% of all collected fish in 2020. Most (238 fish) post-spawned salmon were collected from early to mid-November just after peak spawning. A summary of 2019 PBT results can be found in Appendix A.1.
In 2020, we PIT tagged subyearling fall Chinook salmon in the Clearwater River to obtain population and growth data. In the Clearwater River, we tagged 2,192 subyearlings and recaptured 79 (3.6%) fish in the river and 187 fish (78 tagged by the U.S. Geological Survey, 109 tagged by the Nez Perce Tribe) at Lower Granite Dam during October which provided information for growth estimation. Within riverine habitats, growth in both length and mass were higher for fish tagged with 8-mm tags than with 9- and 12-mm tags. Estimated growth in length and mass of subyearlings was generally lower in Lower Granite Reservoir than in riverine habitats.
Information on prey resources and juvenile fall Chinook salmon prey consumption was collected to better understand the growth opportunity of late-migrating fish in Lower Granite Reservoir. Zooplankton and surface drifting prey were collected from three reservoir locations from July through October during 2019 and 2020. Fall Chinook salmon diet data were collected from angled fish using gastric lavage. Cladocera and Copepoda were the most abundant zooplankton taxa collected while Diptera was the most common invertebrate taxon collected in surface drift samples. Totals of 49 and 94 juvenile fall Chinook salmon were captured in 2019 and 2020, respectively, and most fish were caught in the lower reach of the reservoir in October of each year. Juvenile fall Chinook salmon consumed mainly dipterans in July and October 2019 and mainly Daphnia during August–October in 2020. Fish showed selection mainly for dipterans in 2019 but strong selection for Daphnia during October 2020. Stomach fullness values were relatively low (<1.1%) during both years. Results show that prey resources are adequate in Lower Granite Reservoir to support positive fish growth during late summer and early autumn.
","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K., Barry, P.H., Hance, D., Plumb, J., Bickford, B., Rhodes, T., King, K.G., Lebeda, D.D., Hemingway, R.J., and Hargrove, J., 2021, Research, monitoring, and evaluation of emerging issues and measures to recover the Snake River Fall Chinook salmon ESU, 89 p.","productDescription":"89 p.","ipdsId":"IP-132164","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":426905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396070,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Project.mvc/Display/1991-029-00"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": 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0000-0003-3756-6588","orcid":"https://orcid.org/0000-0003-3756-6588","contributorId":220180,"corporation":false,"usgs":true,"family":"Bickford","given":"Brad","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835055,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rhodes, Tobyn 0000-0002-4023-4827","orcid":"https://orcid.org/0000-0002-4023-4827","contributorId":220181,"corporation":false,"usgs":true,"family":"Rhodes","given":"Tobyn","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":835056,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lebeda, Dalton Dirk 0000-0001-9071-8400","orcid":"https://orcid.org/0000-0001-9071-8400","contributorId":251867,"corporation":false,"usgs":true,"family":"Lebeda","given":"Dalton","email":"","middleInitial":"Dirk","affiliations":[{"id":654,"text":"Western Fisheries Research 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John","contributorId":181828,"corporation":false,"usgs":false,"family":"Hargrove","given":"John","affiliations":[],"preferred":false,"id":897113,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70230356,"text":"70230356 - 2021 - Coastal observations of alligator snapping turtles in the Florida Panhandle","interactions":[],"lastModifiedDate":"2022-10-03T16:46:42.152635","indexId":"70230356","displayToPublicDate":"2021-08-01T11:46:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1668,"text":"Florida Field Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Coastal observations of alligator snapping turtles in the Florida Panhandle","docAbstract":"The genus Macrochelys (alligator snapping turtles) inhabits river systems that empty into the Gulf of Mexico from Florida to Texas and contains the largest freshwater turtles in North America (Pritchard 2006). This paper details observations of Macrochelys on the coast and barrier islands in Franklin and Gulf counties, Florida, that contribute to our knowledge of their movements in brackish or saltwater ecosystems and occurrence on islands. Thomas et al. (2014) described turtles from this geographical area as a new species, Apalachicola alligator snapping turtle (M. apalachicolae), but Folt and Guyer (2015) disputed this designation, and many authorities still consider them to be alligator snapping turtles (M. temminckii; e.g., Crother 2017, Turtle Taxonomy Working Group 2017).
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This article proposes a physics-guided recurrent neural network model (PGRNN) that combines RNNs and physics-based models to leverage their complementary strengths and improves the modeling of physical processes. Specifically, we show that a PGRNN can improve prediction accuracy over that of physics-based models (by over 20% even with very little training data), while generating outputs consistent with physical laws. An important aspect of our PGRNN approach lies in its ability to incorporate the knowledge encoded in physics-based models. This allows training the PGRNN model using very few true observed data while also ensuring high prediction accuracy. 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The goal was to estimate long-term average spatial distributions for marine bird species using all available science-quality transect survey data and numerous bathymetric, oceanographic, and atmospheric predictor variables. We developed seasonal habitat-based spatial models of the at-sea distribution for 33 individual species and 13 taxonomic groups of marine birds throughout the study region. A statistical modeling framework was used to estimate numerical relationships between bird sighting data (i.e., standardized counts) and a range of temporal (e.g., Pacific Decadal Oscillation [PDO] index), spatially static (e.g., depth), and spatially dynamic (e.g., sea surface chlorophyll-a concentration) environmental variables. The estimated relationships were then used to predict spatially explicit long-term average density (individuals per km2) throughout the study area for each species/group in each of four seasons. Bird sighting data came from multiple scientific survey programs and consisted of at-sea counts of birds collected between 1980 and 2017 using boat-based and fixed-wing aerial transect survey methods. Spatial environmental variables were derived from remote sensing satellite data and an ocean dynamics model.
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2021 - Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring","interactions":[],"lastModifiedDate":"2021-09-02T13:19:23.999368","indexId":"70223721","displayToPublicDate":"2021-08-01T08:17:52","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":73,"text":"Research Paper","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PNW-RP-618","displayTitle":"Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring","title":"Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring","docAbstract":"Passive acoustic monitoring is a promising method for monitoring rare and nocturnal species, and for tracking changes in forest wildlife biodiversity. We conducted simulations to compare and evaluate various passive acoustic sampling designs effectiveness for monitoring spotted owl (Strix occidentalis caurina) population trends. We found that each design was effective for detecting a decline (or stability) in spotted own populations within 10 years with even a moderate amount of sampling. There are however, important considerations and tradeoffs among the various design options. Often, estimated changes in use of the landscape were biased with a consistently lower magnitude of change compared to simulated changes in the population. Although this method has challenges, passive acoustic monitoring can be used to effectively monitor northern spotted owls in the Pacific Northwest.
","language":"English","publisher":"U.S. Forest Service","usgsCitation":"Lesmeister, D.B., Appel, C., Davis, R.J., Yackulic, C., and Ruff, Z., 2021, Simulating the effort necessary to detect changes in northern spotted owl (Strix occidentalis caurina) populations using passive acoustic monitoring: Research Paper PNW-RP-618, 55 p.","productDescription":"55 p.","ipdsId":"IP-119741","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":388804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388793,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/pnw/publications/simulating-effort-necessary-detect-changes-northern-spotted-owl-strix-occidentalis"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.158203125,\n 32.76880048488168\n ],\n [\n -117.99316406249999,\n 36.38591277287651\n ],\n [\n -120.7177734375,\n 41.60722821271717\n ],\n [\n -118.740234375,\n 47.96050238891509\n ],\n [\n -119.267578125,\n 48.86471476180277\n ],\n [\n -123.00292968749999,\n 49.009050809382046\n ],\n [\n -123.53027343749999,\n 48.16608541901253\n ],\n [\n -124.67285156250001,\n 48.3416461723746\n ],\n [\n -124.1455078125,\n 45.30580259943578\n ],\n [\n -124.27734374999999,\n 42.391008609205045\n ],\n [\n -123.70605468750001,\n 39.232253141714885\n ],\n [\n -121.33300781249999,\n 35.817813158696616\n ],\n [\n -120.498046875,\n 34.45221847282654\n ],\n [\n -117.158203125,\n 32.76880048488168\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":822477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appel, Cara L.","contributorId":265255,"corporation":false,"usgs":false,"family":"Appel","given":"Cara L.","affiliations":[{"id":54636,"text":"Graduate Research Assistant, USDA Forest Service, Pacific Northwest Research Station and Department of Fisheries and Wildlife, Oregon State University, Corvallis, OR.","active":true,"usgs":false}],"preferred":false,"id":822478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Raymond J.","contributorId":150574,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":822479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":822480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruff, Zachary J.","contributorId":265260,"corporation":false,"usgs":false,"family":"Ruff","given":"Zachary J.","affiliations":[],"preferred":false,"id":822481,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223340,"text":"70223340 - 2021 - New amphibian and reptile parish records from Louisiana, USA","interactions":[],"lastModifiedDate":"2021-08-24T13:04:34.288078","indexId":"70223340","displayToPublicDate":"2021-08-01T08:04:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"New amphibian and reptile parish records from Louisiana, USA","docAbstract":"Dundee and Rossman (1989) published distribution maps of Louisiana herpetofaunal species in The Amphibians and Reptiles of Louisiana over 30 years ago. Since then many records have been published, mostly in Herpetological Review, documenting additions to these original maps. Though many are single species additions, several compilations of new Louisiana records have been published (Boundy 1994, 1998; 2004; Rosenzweig et al. 2007; Boundy and Gregory 2012; Battaglia et al. 2015). Here we report a total of 22 records that help to fill distributional gaps primarily in southern Louisiana. Most records are a result of targeted surveys during work projects or opportunistic encounters by the author. Those records where the author is not listed as an observer were submitted by others to the author via email. All records are photo vouchers deposited in the Florida Museum of Natural History (FMNH) Herpetology collection. Charles D. Battaglia of the Louisiana Department of Wildlife and Fisheries (LDWF) and Coleman Sheehy of the FMNH verified species identification. All records represent new parish records unless otherwise stated as determined by a list compiled by now-retired LDWF state herpetologist Jeff Boundy and through queries at VertNet.org. I thank Raymond P. 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Of the 9 recognized subspecies, 2 are extinct and 1 is endangered. Previous genetic analyses of mitochondrial DNA (mtDNA) and microsatellite loci showed that current taxonomy does not accurately reflect underlying genetic diversity, with possible consequences for the distribution of conservation resources. To further inform Seaside Sparrow management, we comprehensively describe genetic structure among 24 range-wide sampling locations that include all extant subspecies. We inferred population structure from several thousand single-nucleotide polymorphisms collected from 272 individuals via restriction-site-associated DNA sequencing. Principal components, pairwise FST values, and clustering approaches suggest that Seaside Sparrows on the Atlantic and Gulf Coasts are distinct and consist of at least 5 genetic clusters: 1 in southern Texas, 1 ranging from Aransas County, Texas, to Mississippi; 1 in western Florida; and 2 or 3 genetic groups intermixed along a gradient on the Atlantic Coast. These genetic clusters are not consistent with current subspecies taxonomy and could be used as distinct population segments (DPSs) to inform the most efficient allocation of resources to Seaside Sparrow conservation. Our results regarding the endangered subspecies, A. m. mirabilis, from southern Florida are inconclusive due to low sample size, but indicate that it is distinct and may represent a sixth DPS. Based on our genetic results, we recommend additional song and morphometric analyses in western Florida and a closer study of the boundary between the breeding distributions of A. m. maritima and A. m. macgillivraii to ensure the proper identification of DPSs.
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Yet coastlines are among the more difficult features to accurately map; until now, no comprehensive high-resolution geospatial dataset existed. This chapter presents a new map and ecological inventory of global coastlines developed by Esri, the U.S. Geological Survey, and other partners.
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Lampricide treatments target larval lampreys in tributaries of the Great Lakes. The Great Lakes Fishery Commission oversees sea lamprey control efforts and has invested in technologies that may target other life stages to provide a more integrated approach to sea lamprey control. One technology under development is the use of pheromones to alter behavior of spawning adults. Pheromones are considered biopesticides, which are substances made from naturally occurring products, or derived from living organisms, or a microorganism, that controls pests. We provide a review of sea lamprey management that led to the development of pheromone registration. We also describe the process used to register the first vertebrate pheromone, 3-ketopetromyzonal-24-sulfate (3kPZS) in the United States and Canada and its potential uses in sea lamprey control as a supplemental tool to chemical lampricides.
The Central American river turtle Dermatemys mawii is a critically endangered species that has incurred substantial losses over the last several decades due to overhunting. This species is now being considered for head-starting programs (i.e. captive breeding of turtles for wild release). However, relatively little is known about their life history characteristics, especially with respect to growth and sexual maturation. A robust knowledge of D. mawii life history traits is important in developing conservation management plans. Our research is the first known study to maintain hatchlings, juveniles, and adults in captivity with regular morphometric data collection. We quantified growth rates (cm yr-1) and calculated growth parameters (e.g. growth coefficients) to estimate body size and age at onset of sexual maturity in a group of wild-caught but captive-held and captive-bred D. mawii in Belize. Sizes at the onset of sexual maturity were inferred by segmented linear regressions that identified changes in growth rate by body size. Asymptotic sizes and growth coefficients were calculated using the Fabens method and the Wang method. Parameters from these models were then applied to a modified von Bertalanffy growth equation to estimate age at the onset of sexual maturity. Male and female D. mawii begin sexual maturation at ca. 38.0 cm and 40.0 cm straight-line carapace length, respectively. We estimated ages associated with these sizes at 13.5-16.9 yrs (males) and 13.6-17.3 yrs (females). No previous literature on growth rates or age at maturation for wild or captive D. mawii has been reported, so our results serve as a starting point in conservation management. Given the life history trait of delayed sexual maturity (>10 years), D. mawii may be more sensitive to losses of the adult population. Therefore, the importance of captive breeding and head-starting programs may be concomitant with protecting wild, adult populations.
","language":"English","publisher":"European Association of Zoos and Aquaria","doi":"10.19227/jzar.v9i3.432","usgsCitation":"Bishop, N.D., Hudson, R., Marlin, J., Pop, T., Rainwater, T.R., Boylan, S.M., Atkinson, B.K., and Carthy, R., 2021, Using growth rates to estimate the minimum age and size at sexual maturity in a captive population of the critically endangered Central American river turtle Dermatemys mawii: Journal of Zoo and Aquarium Research, v. 9, no. 3, p. 150-156, https://doi.org/10.19227/jzar.v9i3.432.","productDescription":"7 p.","startPage":"150","endPage":"156","ipdsId":"IP-094451","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belize","county":"Toledo","otherGeospatial":"Belize Foundation for Research and Environmental Education, Hicatee Conservation Research Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.74309539794922,\n 16.444975888014174\n ],\n [\n -88.57486724853516,\n 16.444975888014174\n ],\n [\n -88.57486724853516,\n 16.59506848241128\n ],\n [\n -88.74309539794922,\n 16.59506848241128\n ],\n [\n -88.74309539794922,\n 16.444975888014174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Nichole D.","contributorId":273246,"corporation":false,"usgs":false,"family":"Bishop","given":"Nichole","email":"","middleInitial":"D.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":832713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Rick","contributorId":212739,"corporation":false,"usgs":false,"family":"Hudson","given":"Rick","affiliations":[],"preferred":false,"id":832714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marlin, Jacob","contributorId":273247,"corporation":false,"usgs":false,"family":"Marlin","given":"Jacob","email":"","affiliations":[{"id":56441,"text":"Belize Foundation for Research and Environmental Education","active":true,"usgs":false}],"preferred":false,"id":832715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pop, Thomas","contributorId":273248,"corporation":false,"usgs":false,"family":"Pop","given":"Thomas","email":"","affiliations":[{"id":56441,"text":"Belize Foundation for Research and Environmental Education","active":true,"usgs":false}],"preferred":false,"id":832716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rainwater, Thomas R.","contributorId":93791,"corporation":false,"usgs":true,"family":"Rainwater","given":"Thomas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":832717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boylan, Shane M.","contributorId":220012,"corporation":false,"usgs":false,"family":"Boylan","given":"Shane","email":"","middleInitial":"M.","affiliations":[{"id":40118,"text":"Clearwater Marine Aquarium, Clearwater, FL, USA","active":true,"usgs":false}],"preferred":false,"id":832718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atkinson, Benjamin K.","contributorId":273250,"corporation":false,"usgs":false,"family":"Atkinson","given":"Benjamin","email":"","middleInitial":"K.","affiliations":[{"id":56443,"text":"Flagler College","active":true,"usgs":false}],"preferred":false,"id":832719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832720,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ]}