Neonicotinoids are one of the most widely used classes of insecticides in the world. The neonicotinoid imidacloprid is commonly applied to hemlock (Tsuga spp.) stands in eastern North America to reduce tree mortality from infestations of the invasive hemlock woolly adelgid (HWA; Adelges tsugae). While laboratory and mesocosm studies have determined that imidacloprid can bioaccumulate in anurans and cause sublethal effects, no field studies have investigated whether salamanders or insects in streams adjacent to HWA treatments bioaccumulate imidacloprid or if sublethal effects are detectable in wild salamanders. We assessed relationships between imidacloprid exposure and stream salamander health in West Virginia, USA, using concentration of the stress hormone corticosterone and body condition indices (BCI) as response variables. Of 107 Desmognathus salamanders from 11 sites tested for bioaccumulation, we detected imidacloprid in 47 salamanders. Of 15 benthic macroinvertebrate samples tested, we detected imidacloprid, imidacloprid-urea, and imidacloprid-olefin in 15, 13, and 1 sample, respectively. Based on 115 Desmognathus salamanders sampled at 11 sites for stress hormone responses, corticosterone concentration increased with imidacloprid concentration in stream water. For 802 salamanders sampled at 48 sites, BCI decreased as concentration of imidacloprid in stream water increased, but explanatory power was low. Our study suggests that chronic leaching of imidacloprid from treated hemlock stands into adjacent streams has the potential to negatively affect aquatic organisms and may provide a route of exposure to higher trophic levels.
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The Council plays a key role in developing strategies and implementing projects that help ensure the Gulf of Mexico’s natural resources are sustainable and available for future generations. \n\nThe Council Monitoring and Assessment Program (CMAP) was approved as a Gulf-wide investment by the Council in the 2015 Initial Funded Priorities List and is administered jointly by the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Geological Survey (USGS). Funded activities include the organization of basic, foundational components for a Gulf-wide monitoring network to measure the efficacy of investments in Gulf restoration by the Council. The program, in coordination with the Gulf of Mexico Alliance (GOMA) and through collaboration with the Gulf States, federal and local partners, academia, non-governmental organizations, and business and industry, has leveraged existing resources, capacities, and expertise and built on existing monitoring programs and their data.","language":"English","publisher":"NOAA","collaboration":"National Oceanic and Atmospheric Administration, Gulf Coast Ecosystem Restoration Council, University of Louisiana","usgsCitation":"Suir, K., Thurman, H., Kuczynski, A., Quibodeaux, P., Chimmula, S., Howell, J., Burkart, H., Enwright, N., Cretini, K., and McKelvy, M., 2020, Council Monitoring and Assessment Program (CMAP): User guide for the Gulf Coast Monitoring and Assessment Portal, 20 p.","productDescription":"20 p.","ipdsId":"IP-125322","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research 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reconstructed and remnant prairie in Missouri","docAbstract":"The tallgrass prairie of North America is an imperiled ecosystem that has been the subject of considerable restoration effort and research in the past two decades. While native prairie plant species are purposely introduced during restoration, prairie invertebrates, including native bees (Anthophila), are not, and must colonize from surrounding remnants. Prairie restorations may not support the same bee communities as remnant prairies because of habitat differences and dispersal limitations. We sampled native bees on reconstructed and remnant prairies in Missouri in the summers of 2016 and 2017 and compared the communities by evaluating species richness, diversity, and community composition. We detected no differences in bee species richness or diversity between reconstructions and remnants; remnants and reconstructions shared all but three of the 57 taxa observed. Community composition of bees on reconstructions was different from that of remnants because of differences in the relative abundance of taxa. Several species were associated with either reconstructed or remnant prairies. At a functional level, stem nesters were more common on reconstructed than remnant prairie. We also examined whether bee communities on reconstructions converged with those observed on remnants over time by comparing bee communities across restorations of different ages and found that reconstruction communities did not appear to be converging with remnants. Reconstructing prairie bee communities may depend on restoring soil conditions and disturbance regimes that influence bee nesting habitat.
","language":"English","publisher":"Eagle Hill Publications","usgsCitation":"LaRose, J.P., Webb, E.B., and Finke, D.L., 2020, Comparing native bee communities on reconstructed and remnant prairie in Missouri: Prairie Naturalist, v. 52, no. 2, p. 33-44.","productDescription":"12 p.","startPage":"33","endPage":"44","ipdsId":"IP-105716","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":389819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389818,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/prnaonline/prnaregular.shtml"}],"country":"United States","state":"Missouri","county":"Calloway County, St. Clair County","otherGeospatial":"Prairie Fork Conservation Area, Tucker Prairie, Wah’KonTah Prairie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.031982421875,\n 37.89707229213177\n ],\n [\n -93.8788604736328,\n 37.89707229213177\n ],\n [\n -93.8788604736328,\n 38.04403548742916\n ],\n [\n -94.031982421875,\n 38.04403548742916\n ],\n [\n -94.031982421875,\n 37.89707229213177\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.75163269042969,\n 38.86497387225007\n ],\n [\n -91.70159339904785,\n 38.86497387225007\n ],\n [\n -91.70159339904785,\n 38.905795325194326\n ],\n [\n -91.75163269042969,\n 38.905795325194326\n ],\n [\n -91.75163269042969,\n 38.86497387225007\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.00255870819092,\n 38.941085958387674\n ],\n [\n -91.9896411895752,\n 38.941085958387674\n ],\n [\n -91.9896411895752,\n 38.951966755310146\n ],\n [\n -92.00255870819092,\n 38.951966755310146\n ],\n [\n -92.00255870819092,\n 38.941085958387674\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LaRose, J. P.","contributorId":264878,"corporation":false,"usgs":false,"family":"LaRose","given":"J.","email":"","middleInitial":"P.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":823997,"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":823999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finke, D. L.","contributorId":264879,"corporation":false,"usgs":false,"family":"Finke","given":"D.","email":"","middleInitial":"L.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":823998,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70251804,"text":"70251804 - 2020 - Magmatic-tectonic settings of Cenozoic epithermal gold-silver deposits of the Great Basin, western United States","interactions":[],"lastModifiedDate":"2026-03-26T14:22:17.959724","indexId":"70251804","displayToPublicDate":"2020-12-01T10:54:41","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Magmatic-tectonic settings of Cenozoic epithermal gold-silver deposits of the Great Basin, western United States","docAbstract":"Numerous epithermal gold-silver deposits formed during the past 40 Ma are irregularly distributed across the Great Basin. These deposits formed in six major magmatic-tectonic settings that varied during the complex evolution of the continental margin of western North America: (1) slab rollback–ignimbrite flareup (~45–17 Ma), (2) slab rollback–ancestral Cascade arc (~35 Ma–present), (3) Yellowstone hotspot–bimodal (~16.7–3 Ma), (4) slab window (~16 Ma–present), (5) Basin and Range bimodal extensional (≤ 7 Ma), and (6) amagmatic extensional (≤ 5 Ma). Most large (> 1 Moz gold produced) deposits are Miocene (~20–8 Ma), low-, intermediate-, and high-sulfidation deposits in the southern part of the ancestral Cascade arc; late Miocene post-subduction, low-sulfidation deposits formed over the slab window; and lowsulfidation deposits related to early (16.7–15 Ma) Yellowstone hotspot magmatism formed along the northern Nevada rift and related fracture zones to the west. The world-class Round Mountain low-sulfidation deposit is the only large deposit in ignimbrite flareup rocks despite these rocks constituting the largest eruptive volume of Cenozoic magmas in the Great Basin. Intermediate to silicic composition lava dome complexes are the most common setting for epithermal deposits in the western Great Basin, whereas deposits formed in a wide range of settings and rock types during Yellowstone hotspot activity. With exception of the Round Mountain caldera, the dozens of calderas of the ignimbrite flareup do not host large epithermal deposits. Several young (≤ 5 Ma), “amagmatic” low-sulfidation deposits formed along Basin and Range fault zones in sedimentary rocks that lack proximal magmatic activity. The types and characteristics of epithermal gold-silver deposits in the Great Basin systematically vary with magmatic-tectonic setting and magma composition, and their distribution reflects the combined effects of tectonic setting of magma genesis; magma source, composition and eruptive style; crustal thickness and composition; presence of crustal-scale structural zones; climate; and preservation of deposits.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Vision for discovery, Geological Society of Nevada 2020 symposium proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geological Society of Nevada","usgsCitation":"John, D.A., and Henry, C.S., 2020, Magmatic-tectonic settings of Cenozoic epithermal gold-silver deposits of the Great Basin, western United States, in Vision for discovery, Geological Society of Nevada 2020 symposium proceedings, p. 765-796.","productDescription":"32 p.","startPage":"765","endPage":"796","ipdsId":"IP-114651","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501502,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":895628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, Christopher S.","contributorId":42522,"corporation":false,"usgs":true,"family":"Henry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":895629,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70249398,"text":"70249398 - 2020 - Coleonyx variegatus (Western Banded Gecko). Sterility","interactions":[],"lastModifiedDate":"2024-01-12T16:37:34.55497","indexId":"70249398","displayToPublicDate":"2020-12-01T10:23:59","publicationYear":"2020","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":"Coleonyx variegatus (Western Banded Gecko). Sterility","docAbstract":"No abstract available.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Medica, P.A., 2020, Coleonyx variegatus (Western Banded Gecko). Sterility: Herpetological Review, v. 51, no. 4, p. 847-848.","productDescription":"2 p.","startPage":"847","endPage":"848","ipdsId":"IP-113543","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":424381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Rock Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.33559790478063,\n 36.716299539685096\n ],\n [\n -116.33559790478063,\n 36.60454041491195\n ],\n [\n -116.19712268597902,\n 36.60454041491195\n ],\n [\n -116.19712268597902,\n 36.716299539685096\n ],\n [\n -116.33559790478063,\n 36.716299539685096\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Medica, Phil A. 0000-0002-5901-8841 pmedica@usgs.gov","orcid":"https://orcid.org/0000-0002-5901-8841","contributorId":3226,"corporation":false,"usgs":true,"family":"Medica","given":"Phil","email":"pmedica@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":885468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70216921,"text":"70216921 - 2020 - North American commission on stratigraphic nomenclature report 14 – Revision of articles 25-27 of the North American stratigraphic code to formalize subseries and subepochs","interactions":[],"lastModifiedDate":"2021-03-19T20:24:39.180048","indexId":"70216921","displayToPublicDate":"2020-12-01T10:18:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"North American commission on stratigraphic nomenclature report 14 – Revision of articles 25-27 of the North American stratigraphic code to formalize subseries and subepochs","docAbstract":"At the 75th Annual Meeting of the North American Commission on Stratigraphic Nomenclature, 22 October, 2020, in connection with GSA 2020 Connects Online, the Commission voted unanimously to accept the revision of Articles 73, 81 and 82 of the North American Stratigraphic Code (North American Commission on Stratigraphic Nomenclature, 2005 with subsequent updates), and concomitant changes to Table 2; specific revisions of the Code are indicated in red color. These replace all older versions of the specified Articles. An application for this revision (Aubry et al. 2019) was published in Stratigraphy more than one year prior to the meeting; thus, the vote on this application for revision follows Article 21 of the Code.
","language":"English","publisher":"Micropaleontology Press","doi":"10.29041/strat.17.4.315-316","usgsCitation":"Aubry, M., Fluegeman, R.H., Edwards, L.E., Pratt, B.R., and Brett, C.E., 2020, North American commission on stratigraphic nomenclature report 14 – Revision of articles 25-27 of the North American stratigraphic code to formalize subseries and subepochs: Stratigraphy, v. 17, no. 4, p. 315-316, https://doi.org/10.29041/strat.17.4.315-316.","productDescription":"2 p.","startPage":"315","endPage":"316","ipdsId":"IP-123969","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":383167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Aubry, Marie-Pierre","contributorId":174332,"corporation":false,"usgs":false,"family":"Aubry","given":"Marie-Pierre","email":"","affiliations":[{"id":27421,"text":"Department of Earth and Planetary Sciences Rutgers University 610 Taylor Road Piscataway NJ 08854-8066, USA","active":true,"usgs":false}],"preferred":false,"id":806952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fluegeman, Richard H.","contributorId":139942,"corporation":false,"usgs":false,"family":"Fluegeman","given":"Richard","email":"","middleInitial":"H.","affiliations":[{"id":13322,"text":"Ball State University","active":true,"usgs":false}],"preferred":false,"id":806953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":806954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Brian R.","contributorId":214140,"corporation":false,"usgs":false,"family":"Pratt","given":"Brian","email":"","middleInitial":"R.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":806955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brett, Carlton E.","contributorId":214141,"corporation":false,"usgs":false,"family":"Brett","given":"Carlton","email":"","middleInitial":"E.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":806956,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216755,"text":"70216755 - 2020 - An evaluation of noninvasive sampling techniques for Malayan sun bears","interactions":[],"lastModifiedDate":"2020-12-04T16:12:36.626286","indexId":"70216755","displayToPublicDate":"2020-12-01T10:03:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of noninvasive sampling techniques for Malayan sun bears","docAbstract":"Traditional mark–recapture studies to estimate abundance and trends of Malayan sun bear (Helarctos malayanus) populations are impeded by logistics of live-trapping wild individuals. The development of noninvasive sampling techniques for monitoring sun bear populations is therefore crucial for targeted conservation action. Sun bears have short fur, and conventional hair-snagging devices are ineffective. Moreover, scats are rapidly decomposed by the warm, humid environment, as well as by invertebrates. In combination with camera-sampling, we tested 2 designs of hair traps (n = 45) in situ at Tabin Wildlife Reserve in Sabah, Malaysia, during April–October 2017, to obtain hair samples from wild sun bears. We also deployed 4 types of hair traps in rainforest enclosures with captive sun bears to evaluate hair-capture success and the effects of weathering, lure, and adhesive on polymerase chain reaction (PCR) amplification success. Wild adult male sun bears displayed back-rubbing behavior at hair traps and 6 individuals were identified based on unique chest marks. We collected 30 hair samples from wild sun bears, including 15 chest mark images of 6 individuals over 1,260 trap-nights. We detected adult males at hair traps more frequently than females and subadults. We obtained 39 hair samples in the captive trials. Extracted DNA from hair roots successfully amplified with mitochondrial (wild bears: 95%; captive bears: 97%) and microsatellite primers (wild bears: 100%; captive bears 87%). Adhesive and lure type did not affect PCR amplification, but weathering reduced amplification of microsatellite loci. This study is the first successful attempt to obtain genetic samples from wild sun bears using inexpensive, readily available materials such as duct tape, polybutyl glue, and locally sourced lures. The quality of genetic material from these genetic samples should be suitable for studies of population size and gene flow.
","language":"English","publisher":"BioOne","doi":"10.2192/URSUS-S-20-00004.1","usgsCitation":"Tee, T.L., Lai, W.L., Ju Wei, T.K., Shern, O.Z., van Manen, F.T., Sharp, S.P., Wong, S.T., Chew, J., and Ratnayeke, S., 2020, An evaluation of noninvasive sampling techniques for Malayan sun bears: Ursus, v. 31, e16, 12 p., https://doi.org/10.2192/URSUS-S-20-00004.1.","productDescription":"e16, 12 p.","ipdsId":"IP-116549","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2192/ursus-s-20-00004.1","text":"Publisher Index Page"},{"id":380986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","state":"Sabah","otherGeospatial":"Tabin Wildlife Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 117.44934082031249,\n 4.99792208960986\n ],\n [\n 118.77868652343751,\n 4.99792208960986\n ],\n [\n 118.77868652343751,\n 5.719845659536203\n ],\n [\n 117.44934082031249,\n 5.719845659536203\n ],\n [\n 117.44934082031249,\n 4.99792208960986\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tee, Thye Lim","contributorId":245374,"corporation":false,"usgs":false,"family":"Tee","given":"Thye","email":"","middleInitial":"Lim","affiliations":[{"id":49172,"text":"Sunway University","active":true,"usgs":false}],"preferred":false,"id":806080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lai, Wai Ling","contributorId":245375,"corporation":false,"usgs":false,"family":"Lai","given":"Wai","email":"","middleInitial":"Ling","affiliations":[{"id":49172,"text":"Sunway University","active":true,"usgs":false}],"preferred":false,"id":806081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ju Wei, Terence Kok","contributorId":245376,"corporation":false,"usgs":false,"family":"Ju Wei","given":"Terence","email":"","middleInitial":"Kok","affiliations":[{"id":49172,"text":"Sunway University","active":true,"usgs":false}],"preferred":false,"id":806082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shern, Ooi Zhuan","contributorId":245377,"corporation":false,"usgs":false,"family":"Shern","given":"Ooi","email":"","middleInitial":"Zhuan","affiliations":[{"id":49172,"text":"Sunway University","active":true,"usgs":false}],"preferred":false,"id":806083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":806084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sharp, Stuart P.","contributorId":203981,"corporation":false,"usgs":false,"family":"Sharp","given":"Stuart","email":"","middleInitial":"P.","affiliations":[{"id":36781,"text":"Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, UK","active":true,"usgs":false}],"preferred":false,"id":806085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wong, Siew Te","contributorId":245378,"corporation":false,"usgs":false,"family":"Wong","given":"Siew","email":"","middleInitial":"Te","affiliations":[{"id":49173,"text":"Bornean Sun Bear Conservation Centre","active":true,"usgs":false}],"preferred":false,"id":806086,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chew, Jactty","contributorId":245379,"corporation":false,"usgs":false,"family":"Chew","given":"Jactty","email":"","affiliations":[{"id":49172,"text":"Sunway University","active":true,"usgs":false}],"preferred":false,"id":806087,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ratnayeke, Shyamala","contributorId":203978,"corporation":false,"usgs":false,"family":"Ratnayeke","given":"Shyamala","email":"","affiliations":[{"id":36779,"text":"Department of Biological Sciences, Sunway University, Malaysia","active":true,"usgs":false}],"preferred":false,"id":806088,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70228379,"text":"70228379 - 2020 - A test of the Niche Variation Hypothesis in a ruminant herbivore","interactions":[],"lastModifiedDate":"2022-02-09T16:04:11.307727","indexId":"70228379","displayToPublicDate":"2020-12-01T09:55:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A test of the Niche Variation Hypothesis in a ruminant herbivore","docAbstract":"Ecological risk assessments play an important role in environmental management and decision-making. Although empirical measurements of the effects of habitat changes and chemical exposure are often made at molecular and individual levels, environmental decision-making often requires the quantification of management-relevant, population-level outcomes. In this study, we generalized a modeling framework to evaluate population-level ecological risk of environmental stress and bioactive chemicals. The modeling framework includes (1) a biological model module that incorporates complex and interacting biological and ecological processes, and environmental stochasticity, (2) an effect module that links the impacts of environmental changes and chemical exposure to individual characteristics, and (3) a population module that makes decisions on the choice of population-level properties to best capture the effects and thus to track in the model based on the target species and the research and management interest. This framework is a 3-module procedure that provides an alternative way for researchers to organize, present and communicate the risk assessment modeling studies. To demonstrate this framework, we used a socioeconomically important riverine fish species, smallmouth bass Micropterus dolomieu, as the model species. We developed an individual-based model as the biological model module. We evaluated the impacts of changing water temperature and flow regimes, and the impacts of exposure to estrogenic endocrine disrupting compounds (EEDC) on smallmouth bass populations in the Chesapeake Bay Watershed, USA. Warm summer water temperatures and year-round high flows had the most severe impacts on the smallmouth bass population. An increase in exposure level to EEDC, both year-round and in summer months, substantially reduced population size, spawner and recruit abundance, and the proportion of quality-length individuals. Acute exposure to EEDC was more detrimental to the population than chronic exposure. Acute exposure during spawning season had the most severe impacts. This modeling framework can be extended to other species, environmental factors and chemicals, and can be used to inform management and conservation decisions.
Telemetry of acoustically tagged bigheaded carp (i.e., bighead carp Hypophthalmichthys nobilis and silver carp H. molitrix) and surrogate fish species has become an invaluable tool in management for these species in the upper Illinois Waterway Systems (i.e., upper Illinois River, lower Des Plaines River, and Chicago Area Waterway System). For example, movement probabilities between adjacent navigation pools need to be estimated to parameterize the Spatially Explicit Asian Carp Population Model (SEAcarP). SEAcarP is a population model used in scenario planning by the Monitoring and Response Workgroup (MRWG) to evaluate alternative management actions. These movement probabilities are estimated from the telemetry data obtained from a longitudinal network of strategically placed receivers that detect bigheaded carp that have been implanted with acoustic transmitters. In addition, fish removal by contracted fishers has become the primary method of controlling bigheaded carp in the upper Illinois and lower Des Plaines Rivers. Variable patterns in bigheaded carp distribution, habitat, and movement, influenced by seasonal and environmental conditions, make targeting bigheaded carp for removal and containment challenging and costly. Understanding these movement patterns for bigheaded carp through modeling and real-time telemetry applications informs removal efforts and facilitates monitoring and contingency actions based on fish movements.
To develop a better understanding of fish movement dynamics to meet management objectives, an existing network of real-time and data-logging acoustic receivers in the upper Illinois Waterway Systems is collaboratively managed by a multi-agency team (see Participating Agencies section above). A Telemetry Workgroup has been established by the MRWG to ensure that the multi-agency telemetry efforts are coordinated to efficiently and effectively meet the MRWG goals. This workgroup plans and executes the placement of receivers, tagging of bigheaded carp with acoustic tags, and management of the telemetry data. Three primary objectives to meet MRWG goals identified by the Telemetry Workgroup included (1) development of a common standardized telemetry database with visualization and analysis tools, (2) transitioning from Program MARK (http://www.phidot.org/software/mark/) to a custom Bayesian multi-state model for estimating movement probabilities needed for SEAcarP and (3) deploying, maintaining, and serving data from real-time acoustic receivers to inform contingency planning and fish removal.
A telemetry database and visualization tools (FishTracks) will facilitate standardization, archiving, sharing, quality assurance, visualization and analysis of the telemetry data needed for management. Modifications and additions to FishTracks will facilitate more problem-free use of the database and associated applications, as well as useful extraction of information to meet management goals. The transition to a custom Bayesian multi-state model to estimate movement probabilities will support more efficient, effective, and robust population modeling with SEAcarP by overcoming short comings of Program MARK for this purpose. These shortcomings include lack of customizability and extensibility, problems of singularities and poor-convergence, software crashes, parameter exclusion from models, an inability to consistently generate estimates of movement probability, and a lack of uncertainty estimates for movement probabilities. A real-time receiver network that is maintained and tested annually will ensure reliability and accuracy of the real-time alerts to bigheaded carp movements that can be used by management to plan contingency actions.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Interim summary report 2020","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","usgsCitation":"Knights, B.C., Brey, M.K., Stanton, J.C., Harrison, T.J., Appel, D., Hlavacek, E., and Duncker, J.J., 2020, USGS Telemetry Project: Interim Summary Report, 6 p.","productDescription":"6 p.","startPage":"41","endPage":"46","ipdsId":"IP-128212","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":391250,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html"},{"id":426889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"upper Illinois Waterway","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.34655836479192,\n 42.36183831544582\n ],\n [\n -89.74494117447833,\n 42.36183831544582\n ],\n [\n -89.74494117447833,\n 40.51767088873834\n ],\n [\n -87.34655836479192,\n 40.51767088873834\n ],\n [\n -87.34655836479192,\n 42.36183831544582\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826141,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Travis J. 0000-0002-9195-738X","orcid":"https://orcid.org/0000-0002-9195-738X","contributorId":213966,"corporation":false,"usgs":true,"family":"Harrison","given":"Travis","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826142,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Appel, Douglas 0000-0001-8775-1058","orcid":"https://orcid.org/0000-0001-8775-1058","contributorId":268159,"corporation":false,"usgs":true,"family":"Appel","given":"Douglas","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":826143,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":826144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826145,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70229995,"text":"70229995 - 2020 - Book review: Rare earth element resources: Indian context","interactions":[],"lastModifiedDate":"2022-03-23T14:29:13.039768","indexId":"70229995","displayToPublicDate":"2020-12-01T09:27:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Rare earth element resources: Indian context","docAbstract":"Rare Earth Element Resources: Indian Context. Yamuna Singh. 2020. ISBN 978-3-030-41353-8. Society of Earth Scientists Series, Springer, Cham, Switzerland, 269 Pp. Hardcover and eBook. €93.08
Rare Earth Element Resources: Indian Context by Yamuna Singh provides an excellent review of rare earth element (REE) deposits and occurrences in India with an emphasis on placer deposits, India’s most notable REE resource. This 269-page, 10-chapter book not only describes REE occurrences but also provides introductory material on REE geochemistry and discusses other potential industrial sources including recycling, fly ash, and mine waste products. The book concludes with a chapter on the state of the REE industry in India and discusses possible future trends and needs. Anyone interested in exploring for REEs in India will find this book from Springer’s Society of Earth Scientists series a useful reference.
In most forest systems, the dynamics of forest canopy gap development play an important role in the transition from relatively short-lived early successional tree species to longer-lived, late successional tree species. In resilient forest systems, tree seedlings establish within newly created canopy gaps and grow to close the gap within one or two decades of disturbance. However, evidence in portions of the Upper Mississippi River System indicates that floodplain forests do not appear to be following these same trajectories, with canopy gaps instead seeming to fail to recruit new tree seedlings and reverting to non-forested cover types. Because of the heavy dominance of short-lived tree species in current UMRS forests, there is concern that continued failure of canopy gaps to recruit back to forest could be an early indicator of long-term, widespread forest loss as gaps become larger and larger and begin to coalesce into large, non-forested areas. Little research to date has documented either the density and distribution of forest canopy gaps across the UMRS or the vegetative conditions within those gaps to provide an initial assessment of forest dynamics in those areas. The current study utilizes both remotely sensed data and field sampling to assess the conditions of forest canopy gaps within 6 navigation pools on the Upper Mississippi River and one pool on the Illinois River. In general, canopy gap distributions and characteristics are similar across the study, with most pools ranging from 3% to 5% of forest canopy in gaps. Gap sizes are also relatively uniform, with most pools averaging 0.09 to 0.14 ha per gap. The highest proportion of forest cover in canopy gaps at the pool level was driven by the total number of gaps and not gap size, indicating that canopy gap formation in this system is commonly due to individual tree or small clump mortality. Undesirable competing vegetation was dominant in most canopy gaps, with reed canarygrass and native forbs being most prevalent in upper pools and vines most problematic in the lower pools. In the upper pools, very little viable forest regeneration is occurring within canopy gaps. The viability of forest regeneration increases in middle and lower pools, though competing vegetation continues to be a problem. Overall, canopy gaps appear 3 most likely to recruit back to forest in lower pools, and chronic forest loss facilitated by regeneration failures seems most likely in upper pools. However, competing vegetation in lower pools may still interact with woody regeneration to limit effective reestablishment of forest canopy.
","language":"English","publisher":"Long Term Resource Monitoring (LTRM); U.S. Army Corps of Engineers (USACE)","usgsCitation":"Guyon, L.J., Strassman, A.C., Oines, A., Meier, A.R., Thomsen, M., Sattler, S., De Jager, N.R., Hoy, E.E., Vandermyde, B.J., and Cosgriff, R.J., 2020, Forest canopy gap dynamics: Quantifying forest gaps and understanding gap – level forest regeneration in Upper Mississippi River floodplain forests: Completion Report SOW2019FG5, 73 p.","productDescription":"73 p.","ipdsId":"IP-150741","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":426039,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://umesc.usgs.gov/data_library/ltrmp_other/LTRMScienceInSupportOfRestoration_SOW2019FG5_ForestGapStudy_CompletionReport_20201229.pdf"},{"id":426061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, 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Greater prairie chicken and northern bobwhite abundance was also highest following cooler summers. Optimal abundance of each species occurred in landscapes that represented a grassland and cropland mosaic, though prairie chicken abundance was optimized in landscapes with more grassland and less edge habitat than northern bobwhites and ring-necked pheasants. Because these effects differed among species, managing for an optimal landscape for multiple species may not be the optimal scenario for any one species.
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Delta and Suisun Bay (northern San Francisco Estuary, (nSFE). The Sacramento Regional wastewater treatment plant (SRWTP WWTP) currently acts as the largest N point source to the system, discharging 13,000-15,000 kg/d of ammonium-N (NH4) near the nSFE’s northeastern boundary. By end of 2021, SRWTP will complete major upgrades that will reduce its effluent dissolved inorganic nitrogen (DIN) loads by >65% and release the remaining DIN as predominantly nitrate (NO3). This major change in nitrogen inputs provides a unique opportunity to study ecosystem-scale responses to an altered nutrient regime. While, in general, the nSFE has not experienced some classic symptoms of nutrient over-enrichment typical in other estuaries—e.g., large phytoplankton blooms and hypoxia—other concerning nutrient- related impacts have been hypothesized, including: occurrence of harmful algal blooms (HABs) and the production of cyanotoxins; excessive growth of invasive aquatic vegetation; and declines in the abundance and nutritional quality of phytoplankton. These impacts have repercussions for the system’s food web, habitat quality, and the way we manage for transportation, recreation, water conveyance, and drinking water quality. This report develops and applies a framework for i) identifying and examining ecosystem response scenarios to the forthcoming decreased N loads; and ii) identifying opportunities, and constraints or considerations, for investigating those responses, including key data needs or knowledge gaps. Through applying this framework, we identify a set of plausible response scenarios, and evaluate the feasibility of studying or observing those responses along with key study considerations and data and knowledge gaps.","language":"English","publisher":"Bay Area Clean Water Agencies","usgsCitation":"Senn, D., Kraus, T.E., Richey, A., Bergamaschi, B.A., Brown, L.R., Conrad, L., Francis, C.A., Kimmerer, W., Kudela, R., Otten, T.G., Parker, A.E., Robinson, A., Mueller-Solger, A., Stern, D., and Thompson, J., 2020, Changing nitrogen inputs to the northern San Francisco Estuary: Potential ecosystem responses and opportunities for investigation: SFEI Contribution 973, 52 p.","productDescription":"52 p.","ipdsId":"IP-117945","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":420537,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://bacwa.org/","linkFileType":{"id":5,"text":"html"}},{"id":420664,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.24778769231813,\n 38.71083341899933\n ],\n [\n -122.19532072938517,\n 38.71083341899933\n ],\n [\n -122.19532072938517,\n 37.68818730495191\n ],\n [\n -121.24778769231813,\n 37.68818730495191\n ],\n [\n -121.24778769231813,\n 38.71083341899933\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Senn, David","contributorId":177368,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[],"preferred":false,"id":882203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":882703,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70216843,"text":"70216843 - 2020 - Development and application of an empirical dune growth model for evaluating barrier island recovery from storms","interactions":[],"lastModifiedDate":"2020-12-09T14:30:57.032964","indexId":"70216843","displayToPublicDate":"2020-12-01T08:21:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of an empirical dune growth model for evaluating barrier island recovery from storms","docAbstract":"Coastal zone managers require models that predict barrier island change on decadal time scales to estimate coastal vulnerability, and plan habitat restoration and coastal protection projects. To meet these needs, methods must be available for predicting dune recovery as well as dune erosion. In the present study, an empirical dune growth model (EDGR) was developed to predict the evolution of the primary foredune of a barrier island. Within EDGR, an island is represented as a sum of Gaussian shape functions representing dunes, berms, and the underlying island form. The model evolves the foredune based on estimated terminal dune height and location inputs. EDGR was assessed against observed dune evolution along the western end of Dauphin Island, Alabama over the 10 years following Hurricane Katrina (2005). The root mean square error with EDGR (ranging from 0.18 to 0.74 m over the model domain) was reduced compared to an alternate no-change model (0.69–0.96 m). Hindcasting with EDGR also supports the study of dune evolution processes. At Dauphin Island, results suggest that a low-lying portion of the site was dominated by overwash for ~5 years after Katrina, before approaching their terminal height and becoming growth-limited after 2010. EDGR’s computational efficiency allows dune evolution to be rapidly predicted and enables ensemble predictions to constrain the uncertainty that may result if terminal dune characteristics are unknown. In addition, EDGR can be coupled with an external model for estimating dune erosion and/or the long-term evolution of other subaerial features to allow decadal-scale prediction of barrier island evolution.
","language":"English","publisher":"MDPI","doi":"10.3390/jmse8120977","usgsCitation":"Dalyander, P., Mickey, R.C., Passeri, D., and Plant, N.G., 2020, Development and application of an empirical dune growth model for evaluating barrier island recovery from storms: Journal of Marine Science and Engineering, v. 8, no. 12, 9, 21 p., https://doi.org/10.3390/jmse8120977.","productDescription":"9, 21 p.","ipdsId":"IP-104554","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse8120977","text":"Publisher Index Page"},{"id":381165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.34930419921875,\n 30.216948502671475\n ],\n [\n -88.06640625,\n 30.216948502671475\n ],\n [\n -88.06640625,\n 30.271521387805628\n ],\n [\n -88.34930419921875,\n 30.271521387805628\n ],\n [\n -88.34930419921875,\n 30.216948502671475\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalyander, Patricia (Soupy) 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":191931,"corporation":false,"usgs":true,"family":"Dalyander","given":"Patricia (Soupy)","email":"sdalyander@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806595,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806596,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":806597,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":806598,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217053,"text":"70217053 - 2020 - Resist-accept-direct (RAD)-A framework for the 21st-century natural resource manager","interactions":[],"lastModifiedDate":"2020-12-30T14:25:57.64297","indexId":"70217053","displayToPublicDate":"2020-12-01T08:19:36","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2020/2213","title":"Resist-accept-direct (RAD)-A framework for the 21st-century natural resource manager","docAbstract":"An assumption of stationarity—i.e. “the idea that natural systems fluctuate within an unchanging envelope of variability” (Milly et al. 2008)—underlies traditional conservation and natural resource management, as evidenced by widespread reliance on ecological baselines to guide protection, restoration, and other management. Although ecological change certainly occurred under the relatively stable conditions of the recent past, the nature of change under intensifying global change is different; it is unidirectional, and rapidly pushing beyond the bounds of historical variability. In the past, a manager could plausibly work to reverse or mitigate many stressors or their impacts to approximate pre-disturbance ecological conditions, but now accelerated warming, changing disturbance regimes, and extreme events associated with climate change reduce that potential. Indeed, even ‘holding the line’ in the face of inexorable human-caused change is ever more difficult and costly. Thus, the convention of using baseline conditions to define goals for today’s resource management is increasingly untenable, presenting practical and philosophical challenges for managers. As formerly familiar ecological conditions continue to change, bringing novelty, surprise, and uncertainty, natural resource managers require a new, shared approach to make conservation decisions. How, for example, should a manager respond to projections of loss of the Joshua tree from much of its current range, or to the emergence of new and different vegetation communities after a large fire event? The RAD (Resist-Accept-Direct) decision framework has emerged over the past decade as a simple tool that captures the entire decision space for responding to ecosystems facing the potential for rapid, irreversible ecological change. It assists managers in making informed, purposeful choices about how to respond to the trajectory of change, and moreover, provides a straightforward approach to support resource managers in collaborating at larger scales across jurisdictions, which today is more urgent than ever.","language":"English","publisher":"National Park Service","doi":"10.36967/nrr-2283597","usgsCitation":"Schuurman, G.W., Hawkins Hoffman, C., Cole, D., Lawrence, D., Morton, J., Magness, D.R., Cravens, A.E., Covington, S., O'Malley, R., and Fisichelli, N.A., 2020, Resist-accept-direct (RAD)-A framework for the 21st-century natural resource manager: Natural Resource Report 2020/2213, v, 20 p., https://doi.org/10.36967/nrr-2283597.","productDescription":"v, 20 p.","ipdsId":"IP-125020","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":381757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":807395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawkins Hoffman, Cat","contributorId":245964,"corporation":false,"usgs":false,"family":"Hawkins Hoffman","given":"Cat","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":807396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, David N.","contributorId":245965,"corporation":false,"usgs":false,"family":"Cole","given":"David N.","affiliations":[{"id":49387,"text":"Aldo Leopold Wilderness Research Institute [retired]","active":true,"usgs":false}],"preferred":false,"id":807397,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David J.","contributorId":245968,"corporation":false,"usgs":false,"family":"Lawrence","given":"David J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":807398,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morton, John M.","contributorId":245969,"corporation":false,"usgs":false,"family":"Morton","given":"John M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":807399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magness, Dawn R.","contributorId":243262,"corporation":false,"usgs":false,"family":"Magness","given":"Dawn","email":"","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":807400,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":807401,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Covington, Scott","contributorId":245970,"corporation":false,"usgs":false,"family":"Covington","given":"Scott","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":807402,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O'Malley, Robin 0000-0002-4211-3316","orcid":"https://orcid.org/0000-0002-4211-3316","contributorId":245971,"corporation":false,"usgs":false,"family":"O'Malley","given":"Robin","affiliations":[{"id":49390,"text":"retired USGS employee; North Central Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":807403,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":807404,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70216729,"text":"70216729 - 2020 - Planetary cave exploration progresses","interactions":[],"lastModifiedDate":"2020-12-03T13:44:21.763534","indexId":"70216729","displayToPublicDate":"2020-12-01T07:42:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Planetary cave exploration progresses","docAbstract":"Planetary caves have been identified on the Moon and on Mars, and are likely to occur across the Solar System. They present a new frontier for planetary science, subsurface astrobiology, geology and human exploration. The fourth in a series of scientific meetings focusing on the science and exploration of planetary caves brought together 55 terrestrial and planetary scientists, robotics and instrumentation engineers, and students (16 including 1 undergraduate). Conference participants discussed the state of the art of relevant sciences and current engineering capabilities as applied to planetary cave exploration and research. Specifically, they considered cave formation mechanisms, preserved geological records, cave micro-climate and astrobiological potential, engineering challenges of subsurface exploration, and potential robotic mission concepts to explore the subsurface of other worlds, especially the Moon and Mars.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020EO152045","usgsCitation":"Titus, T.N., Phillips-Lander, C., Boston, P.J., Wynne, J.J., and Kerber, L., 2020, Planetary cave exploration progresses: Eos, Earth and Space Science News, v. 101, 9 p., https://doi.org/10.1029/2020EO152045.","productDescription":"9 p.","ipdsId":"IP-119282","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":454724,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020eo152045","text":"Publisher Index Page"},{"id":380945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":805999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips-Lander, C. M.","contributorId":241866,"corporation":false,"usgs":false,"family":"Phillips-Lander","given":"C. M.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":806000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boston, P. J.","contributorId":241668,"corporation":false,"usgs":false,"family":"Boston","given":"P.","email":"","middleInitial":"J.","affiliations":[{"id":27071,"text":"NASA ARC","active":true,"usgs":false}],"preferred":false,"id":806001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wynne, J. J.","contributorId":241870,"corporation":false,"usgs":false,"family":"Wynne","given":"J.","email":"","middleInitial":"J.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":806002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kerber, L.","contributorId":245351,"corporation":false,"usgs":false,"family":"Kerber","given":"L.","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":806003,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216480,"text":"sir20205123 - 2020 - Water levels and selected water-quality conditions in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2014","interactions":[],"lastModifiedDate":"2020-12-01T13:46:47.314594","indexId":"sir20205123","displayToPublicDate":"2020-12-01T05:43:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5123","displayTitle":"Water Levels and Selected Water-Quality Conditions in the Mississippi River Valley Alluvial Aquifer in Eastern Arkansas, 2014","title":"Water levels and selected water-quality conditions in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2014","docAbstract":"In 2014, the U.S. Geological Survey, in cooperation with the Arkansas Geological Survey and the Arkansas Natural Resources Commission, determined water-level altitudes in 468 wells in eastern Arkansas and collected water-quality samples from 144 wells. Water-level altitudes were calculated based on the measured depth to water in each well and used to construct a potentiometric-surface map of the Mississippi River Valley alluvial aquifer, and the water-quality samples were analyzed for chloride and bromide concentrations. Upon completion of the potentiometric-surface map, 10 depressions in the potentiometric surface were identified in the Mississippi Alluvial Plain: two large depressions, five small depressions, and three areas of decreased water levels. Analyses of water-quality samples identified several areas of elevated chloride/bromide ratios.
A water-level altitude difference map was constructed using 345 groundwater levels measured in 2010 and 2014. Differences in water-level altitude ranged from –10.2 feet in Craighead County to 18.00 feet in Prairie County. Analysis of the overall water-level altitude differences indicated a decline in approximately 84 percent of the wells measured in both 2010 and 2014, including in areas where previous studies indicated water-level altitude increases between 2008 and 2012. Analysis of long-term hydrographs of wells in the study area indicated that mean annual water levels declined in all but two counties. The decline in water levels observed in the hydrographs suggests continued growth of the cones of depression caused by groundwater use in the Mississippi River Valley alluvial aquifer.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205123","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the Arkansas Geological Survey","usgsCitation":"Rodgers, K.D., and Whaling, A.R., 2020, Water levels and selected water-quality conditions in the Mississippi River Valley alluvial aquifer in eastern Arkansas, 2014: U.S. Geological Survey Scientific Investigations Report 2020–5123, 22 p., 3 pls., https://doi.org/10.3133/sir20205123.","productDescription":"Report: v, 22 p.; 3 Plates: 20.04 x25.98 inches or smaller; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082198","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":380660,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5123/coverthb.jpg"},{"id":380661,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5123/sir20205123.pdf","text":"Report","size":"962 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5123"},{"id":380662,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2020/5123/sir20205123_plate1.pdf","text":"Plate 1","size":"1.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5123 Plate 1","linkHelpText":"— Potentiometric Surface of the Mississippi River Valley Alluvial Aquifer, Spring 2014"},{"id":380664,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2020/5123/sir20205123_plate3.pdf","text":"Plate 3","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5123 Plate 3","linkHelpText":"— Chloride/Bromide Ratio of the Mississippi River Valley Alluvial Aquifer, Spring 2014–15"},{"id":380663,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2020/5123/sir20205123_plate2.pdf","text":"Plate 2","size":"1.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5123 Plate 2","linkHelpText":"— Difference in Water Level of the Mississippi River Valley Alluvial Aquifer, 2010–14"},{"id":380665,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F757197T","text":"USGS data release","description":"USGs data Release","linkHelpText":"Water-level data, selected water-quality data, and the potentiometric dataset for the Mississippi River Valley alluvial aquifer in eastern Arkansas, spring 2014"}],"country":"United States","state":"Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.85693359375,\n 36.527294814546245\n ],\n [\n -91.62597656249999,\n 35.24561909420681\n ],\n [\n -92.21923828124999,\n 34.74161249883172\n ],\n [\n -91.8017578125,\n 33.94335994657882\n ],\n [\n -91.62597656249999,\n 33.22949814144951\n ],\n [\n -91.60400390625,\n 33.04550781490999\n ],\n [\n -91.01074218749999,\n 33.08233672856376\n ],\n [\n -90.72509765625,\n 34.07086232376631\n ],\n [\n -90.3076171875,\n 34.88593094075317\n ],\n [\n -89.97802734375,\n 35.460669951495305\n ],\n [\n -89.67041015625,\n 36.03133177633187\n ],\n [\n -90.3076171875,\n 36.049098959065645\n ],\n [\n -90.06591796875,\n 36.33282808737917\n ],\n [\n -90.15380859375,\n 36.491973470593685\n ],\n [\n -90.52734374999999,\n 36.50963615733049\n ],\n [\n -90.85693359375,\n 36.527294814546245\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 12 million barrels of oil and 27 trillion cubic feet of gas in the Mancos-Menefee Composite and underlying Todilto Total Petroleum Systems of the San Juan Basin Province, New Mexico and Colorado.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203049","usgsCitation":"Marra, K.R., Schenk, C.J., Mercier, T.J., Leathers-Miller, H.M., Tennyson, M.E., Finn, T.M., Woodall, C.A., Brownfield, M.E., Le, P.A., and Drake, R.M., II, 2020, Assessment of undiscovered oil and gas resources in the Mancos-Menefee composite and underlying Todilto Total Petroleum Systems of the San Juan Basin Province, New Mexico, and Colorado, 2020: U.S. Geological Survey Fact Sheet 2020–3049, 4 p., https://doi.org/10.3133/fs20203049.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","ipdsId":"IP-116957","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":380851,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ON85AC","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Mancos-Menefee Composite Total Petroleum System and underlying Todilto Total Petroleum System Assessment Units and Input Data Forms"},{"id":380847,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3049/coverthb.jpg"},{"id":380848,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3049/fs20203049.pdf","text":"Report","size":"2.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3049"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.017333984375,\n 37.020098201368114\n ],\n [\n -109.05029296875,\n 34.397844946449865\n ],\n [\n -104.86450195312499,\n 34.52466147177172\n ],\n [\n -104.853515625,\n 38.1777509666256\n ],\n [\n -109.10522460937499,\n 38.11727165830543\n ],\n [\n -109.017333984375,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 2.6 trillion cubic feet of gas in the Lewis Shale Total Petroleum System of the San Juan Basin Province, New Mexico and Colorado.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203048","usgsCitation":"Marra, K.R., Schenk, C.J., Mercier, T.J., Leathers-Miller, H.M., Tennyson, M.E., Finn, T.M., Woodall, C.A., Brownfield, M.E., Le, P.A., and Drake, R.M., II, 2020, Assessment of undiscovered gas resources in the Lewis Shale Total Petroleum System of the San Juan Basin Province, New Mexico and Colorado, 2020: U.S. Geological Survey Fact Sheet 2020–3048, 2 p., https://doi.org/10.3133/fs20203048.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","ipdsId":"IP-116956","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":380850,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OFL7SL","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Lewis Shale Total Petroleum System Assessment Units and Input Data Forms"},{"id":380839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3048/coverthb.jpg"},{"id":380841,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3048/fs20203048.pdf","text":"Report","size":"1.36 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3048"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.017333984375,\n 37.020098201368114\n ],\n [\n -109.05029296875,\n 34.397844946449865\n ],\n [\n -104.86450195312499,\n 34.52466147177172\n ],\n [\n -104.853515625,\n 38.1777509666256\n ],\n [\n -109.10522460937499,\n 38.11727165830543\n ],\n [\n -109.017333984375,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 39 trillion cubic feet of gas within continuous and conventional reservoirs of the Fruitland Total Petroleum System in the San Juan Basin Province, New Mexico and Colorado.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203047","usgsCitation":"Marra, K.R., Schenk, C.J., Mercier, T.J., Leathers-Miller, H.M., Tennyson, M.E., Finn, T.M., Woodall, C.A., Brownfield, M.E., Le, P.A., and Drake, R.M., II, 2020, Assessment of undiscovered gas resources of the Fruitland Total Petroleum System, San Juan Basin Province, New Mexico, and Colorado, 2020: U.S. Geological Survey Fact Sheet 2020–3047, 2 p., https://doi.org/10.3133/fs20203047.","productDescription":"Report: 2 p.; Data Release","onlineOnly":"N","ipdsId":"IP-116954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":380837,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3047/fs20203047.pdf","text":"Report","size":"1.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3047"},{"id":380836,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3047/coverthb.jpg"},{"id":380849,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IDGJ6E","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - San Juan Basin Province, Fruitland Total Petroleum System Assessment Units and Input Data Forms"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"San Juan Basin Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.017333984375,\n 37.020098201368114\n ],\n [\n -109.05029296875,\n 34.397844946449865\n ],\n [\n -104.86450195312499,\n 34.52466147177172\n ],\n [\n -104.853515625,\n 38.1777509666256\n ],\n [\n -109.10522460937499,\n 38.11727165830543\n ],\n [\n -109.017333984375,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
1) Movement has been studied extensively in stream salmonids, and most data suggest that population-level behavior is best described by a leptokurtic distribution. This distribution emphasizes the large proportion of sedentary individuals in a population, which can implicitly lead to assumptions of low population connectivity and overlook the ecological significance of rare individuals with more mobile phenotypes. 2) We report findings of a multi-season radio telemetry study conducted on four adjacent populations of wild brook trout (Salvelinus fontinalis) connected by Loyalsock Creek in northcentral Pennsylvania. We used these data to investigate temporal and spatial patterns in movement and fitness tradeoffs associated with behavioral phenotype. 3) Similar to previous studies, we found that 59 of the 120 radio-tagged individuals (49%) were sedentary and moved less than 200 m. Only 18% of individuals dispersed more than 1 km, but the maximum distanced moved exceeded 13 km. We also found that mobile individuals had significantly higher summer and fall survival than did sedentary fish, which could indicate that there are fitness benefits associated with vagility. 4) Most long-distance movements were the result of fish migrating from small tributaries into a larger mainstem river in the days after spawning. Therefore, even though mobility was only expressed for a short duration and by relatively few individuals in the population, the behavior appears to maintain metapopulation connectivity throughout the watershed. 5) Our study highlights the ecological significance of rare phenotypes for population demography across large spatial scales and the need to understand movement across multiple temporal and spatial scales to ensure adequate conservation of critical forms of cryptic life history diversity.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13637","usgsCitation":"Wagner, T., and White, S., 2020, Behavior at short temporal scales drives dispersal dynamics and survival in a metapopulation of brook trout (Salvelinus fontinalis): Freshwater Biology, v. 66, no. 2, p. 278-285, https://doi.org/10.1111/fwb.13637.","productDescription":"8 p.","startPage":"278","endPage":"285","ipdsId":"IP-118703","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":454727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.13637","text":"Publisher Index Page"},{"id":395892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Double Creek, East Branch Creek, Loyalsock Creek, Pole Bridge Creek, Shanerburg Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.93528175354004,\n 41.254193933121606\n ],\n [\n -76.92240715026855,\n 41.254193933121606\n ],\n [\n -76.92240715026855,\n 41.266646415620784\n ],\n [\n -76.93528175354004,\n 41.266646415620784\n ],\n [\n -76.93528175354004,\n 41.254193933121606\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-10-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834735,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Shannon","contributorId":276311,"corporation":false,"usgs":false,"family":"White","given":"Shannon","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834736,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219169,"text":"70219169 - 2020 - Decreases in aluminum toxicity and mortality of caged brook trout in Adirondack Mountain Streams","interactions":[],"lastModifiedDate":"2021-03-29T14:38:42.342371","indexId":"70219169","displayToPublicDate":"2020-11-30T09:33:20","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5792,"text":"Summary Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"20-35","title":"Decreases in aluminum toxicity and mortality of caged brook trout in Adirondack Mountain Streams","docAbstract":"Mortality of juvenile brook trout and water chemistry were characterized in six western Adirondack streams in northern New York State during spring 2015, 2016, and 2017 and compared with results from comparable tests done between 1980 and 2003 in many of the same streams to assess temporal changes in inorganic monomeric aluminum (Ali) concentrations, Ali-toxicity, and the role of Ali-exposure duration on mortality. Ali concentrations of 2 and 4 micromoles per liter (µmol L-1) corresponded to chronic- and acute-mortality thresholds for brook trout, but prolonged exposure to ≥ 1 µmol Ali L-1 also produced low-to-moderate mortality levels. The variability, mean, and highest Ali concentrations in Buck Creek (BUC) year-round, and in several other streams during spring, decreased significantly over the past 30 years. Predictive models indicate that Ali surpassed highly toxic concentrations at BUC for three to four months annually during 2001–2003 but for only two to three weeks annually during 2015–2017. The current lack of extremely high Ali concentrations indicate toxicity has declined markedly between the 1989–1990, 2001–2003, and 2015–2017 test periods, yet acid- Ali episodes can still cause moderate-to-high levels of brook trout mortality during high springtime flows. Assembled models show how mortality of brook trout in several Adirondack streams likely declined in response to the 1990 Clean Air Act Amendments and offer a means to predict how changes in United States regulations that limit the atmospheric emissions of nitrogen (N) and sulfur (S) oxides, and the deposition of N and S, could affect brook trout survival and impaired stream ecosystems in the western Adirondack region.","language":"English","publisher":"New York Energy Research and Development Authority","usgsCitation":"Baldigo, B.P., and George, S.D., 2020, Decreases in aluminum toxicity and mortality of caged brook trout in Adirondack Mountain Streams: Summary Report 20-35, vi, 31 p.","productDescription":"vi, 31 p.","ipdsId":"IP-107974","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":384719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384707,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/-/media/Files/Publications/Research/Transportation/20-35-Decreases-in-Aluminium-toxicity-and-mortality-of-caged-brook-trout.pdf"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.0146484375,\n 43.56447158721811\n ],\n [\n -74.44335937499999,\n 43.56447158721811\n ],\n [\n -74.44335937499999,\n 43.830564195198264\n ],\n [\n -75.0146484375,\n 43.830564195198264\n ],\n [\n -75.0146484375,\n 43.56447158721811\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":813104,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70216789,"text":"70216789 - 2020 - Comparing methods to estimate the proportion of turbine-induced bird and bat mortality in the search area under a road and pad search protocol","interactions":[],"lastModifiedDate":"2020-12-07T14:56:49.886538","indexId":"70216789","displayToPublicDate":"2020-11-30T08:53:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Comparing methods to estimate the proportion of turbine-induced bird and bat mortality in the search area under a road and pad search protocol","docAbstract":"Estimating bird and bat mortality at wind facilities typically involves searching for carcasses on the ground near turbines. Some fraction of carcasses inevitably lie outside the search plots, and accurate mortality estimation requires accounting for those carcasses using models to extrapolate from searched to unsearched areas. Such models should account for variation in carcass density with distance, and ideally also for variation with direction (anisotropy). We compare five methods of accounting for carcasses that land outside the searched area (ratio, weighted distribution, non-parametric, and two generalized linear models (glm)) by simulating spatial arrival patterns and the detection process to mimic observations which result from surveying only, or primarily, roads and pads (R&P) and applying the five methods. Simulations vary R&P configurations, spatial carcass distributions (isotropic and anisotropic), and per turbine fatality rates. Our results suggest that the ratio method is less accurate with higher variation relative to the other four methods which all perform similarly under isotropy. All methods were biased under anisotropy; however, including direction covariates in the glm method substantially reduced bias. In addition to comparing methods of accounting for unsearched areas, we suggest a semiparametric bootstrap to produce confidence-based bounds for the proportion of carcasses that land in the searched area.