Underpressures (subhydrostatic heads) in the Paleozoic units underlying the Great Plains of North America are a consequence of Cenozoic uplift of the area. Based on tectonostratigraphic data, we have developed a cumulative uplift history with superimposed periods of deposition and erosion for the Great Plains for the period from 40 Ma to the present. Uplift, deposition, and erosion on an 800 km geologic cross-section extending from northeast Colorado to eastern Kansas is represented in nine time-stepped geohydrologic models. Sequential solution of the two-dimensional diffusion equation reveals the evolution of hydraulic head and underpressure in a changing structural environment after 40 Ma, culminating in an approximate match with the measured present-day values. The modeled and measured hydraulic head values indicate that underpressures increase to the west. The 2 to 0 Ma model indicates that the present-day hydraulic head values of the Paleozoic units have not reached steady state. This result is significant because it indicates that present-day hydraulic heads are not at equilibrium, and underpressures will increase in the future. The pattern uncovered by the series of nine MODFLOW models is of increased underpressures with time. Overall, the models indicate that tectonic uplift explains the development of underpressures in the Great Plains.
","language":"English","publisher":"Hindawi","doi":"10.1155/2018/3765743","usgsCitation":"Umari, A.M., Nelson, P.H., and Lecain, G.D., 2018, Simulating the evolution of fluid underpressures in the Great Plains, by incorporation of tectonic uplift and tilting, with a groundwater flow model: Geofluids, v. 2018, p. 1-30, https://doi.org/10.1155/2018/3765743.","productDescription":"Article ID 3765743; 30 p.","startPage":"1","endPage":"30","ipdsId":"IP-080156","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468208,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2018/3765743","text":"Publisher Index Page"},{"id":437662,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94QFHL9","text":"USGS data release","linkHelpText":"MODFLOW-2005 model used to Simulate the Evolution of Fluid Underpressures in the Great Plains, by Incorporation of Tectonic Uplift and Tilting"},{"id":362015,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2018","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Umari, Amjad M. J. 0000-0001-5678-1959 mjumari@usgs.gov","orcid":"https://orcid.org/0000-0001-5678-1959","contributorId":214124,"corporation":false,"usgs":true,"family":"Umari","given":"Amjad","email":"mjumari@usgs.gov","middleInitial":"M. J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":759191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lecain, Gary D. 0000-0002-5362-9641 gdlecain@usgs.gov","orcid":"https://orcid.org/0000-0002-5362-9641","contributorId":2785,"corporation":false,"usgs":true,"family":"Lecain","given":"Gary","email":"gdlecain@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":759193,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201883,"text":"70201883 - 2018 - Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","interactions":[],"lastModifiedDate":"2019-01-31T16:18:48","indexId":"70201883","displayToPublicDate":"2018-12-01T16:18:42","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3814,"text":"Zootaxa","onlineIssn":"1175-5334","printIssn":"1175-5326","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","title":"Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes)","docAbstract":"Maintaining a current list of valid names and taxonomy for biodiversity is an ever-increasing challenge for the Integrated Taxonomic Information System (ITIS 2017). Advances in molecular techniques and the discovery of many cryptic taxa have dramatically increased the number of species and resulted in revised interpretation of phylogenetic relationships. Occasionally it is necessary to resolve discrepancies in nomenclature to reflect current knowledge. Taxa that are harvested for consumption are particularly in need of name stability. In this paper evidence is presented for the use of the puffer genus TakifuguAbe 1949 over Gastrophysus Müller 1843 and Amblyrhynchote Bibron in Duméril 1855 over GeneionBibron in Duméril 1855.
","language":"English","publisher":"Magnolia Press","doi":"10.11646/zootaxa.4532.2.8","usgsCitation":"Jelks, H.L., 2018, Resolving the status of the genera Gastrophysus and Geneion in the family Tetraodontidae (Teleostei: Tetraodontiformes): Zootaxa, v. 4532, no. 2, p. 288-292, https://doi.org/10.11646/zootaxa.4532.2.8.","productDescription":"5 p.","startPage":"288","endPage":"292","ipdsId":"IP-088384","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":360897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4532","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":755765,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201916,"text":"70201916 - 2018 - Estimating the societal benefits of carbon dioxide sequestration through peatland restoration","interactions":[],"lastModifiedDate":"2019-02-01T17:02:28","indexId":"70201916","displayToPublicDate":"2018-12-01T16:16:30","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the societal benefits of carbon dioxide sequestration through peatland restoration","docAbstract":"The Great Dismal Swamp National Wildlife Refuge (GDS) is a forested peatland that provides a number of ecosystem services including carbon (C) sequestration. We modeled and analyzed the potential capacity of the GDS to sequester C under four management scenarios: no management, no management with catastrophic fire, current management, and increased management. The analysis uses the Land Use and Carbon Scenario Simulator developed for the GDS to estimate net ecosystem C balance. The model simulates net C gains and losses on an annual time-step from 2013 through 2062 which is converted to carbon dioxide equivalent (CO2-eq) and monetized using the Interagency Working Group's Social Cost of Carbon. Our analysis incorporates compounded uncertainty including variation in ecological processes, temporal and spatial heterogeneity, and uncertainty in the discount rate. The no management scenario results in 2.4 million tons of CO2 emissions with a Net Present Value (NPV) under a 3% discount rate of −\\$67 million. No management with catastrophic fires emits 6.5 million tons of CO2 with an NPV of −\\$232 million. Current management avoids 9.9 million tons of emissions (via sequestration) with an NPV of \\$326 million. Increased management avoids 16.5 million tons of emissions with an NPV of \\$524 million.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2018.08.002","usgsCitation":"Pindilli, E., Sleeter, R., and Hogan, D.M., 2018, Estimating the societal benefits of carbon dioxide sequestration through peatland restoration: Ecological Economics, v. 154, p. 145-155, https://doi.org/10.1016/j.ecolecon.2018.08.002.","productDescription":"11 p.","startPage":"145","endPage":"155","ipdsId":" IP-092413","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":360936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"Great Dismal Swamp National Wildlife Refuge, Dismal Swamp State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.57264709472656,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.42791246440695\n ],\n [\n -76.33644104003906,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.77904237558059\n ],\n [\n -76.57264709472656,\n 36.42791246440695\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"154","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":756001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeter, Rachel 0000-0003-3477-0436 rsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-3477-0436","contributorId":666,"corporation":false,"usgs":true,"family":"Sleeter","given":"Rachel","email":"rsleeter@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":756002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":756003,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202584,"text":"70202584 - 2018 - Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River","interactions":[],"lastModifiedDate":"2019-03-12T16:15:23","indexId":"70202584","displayToPublicDate":"2018-12-01T16:15:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River","docAbstract":"Release of age‐0 hatchery‐reared fall Chinook salmon, Oncorhynchus tshawytscha(Walbaum), in the Snake River resulted in up to 30‐fold increases in salmon consumption by non‐native smallmouth bass, Micropterus dolomieu Lacepѐde. In an upper river reach, smallmouth bass fed intensively during a release in May, but Chinook salmon consumption returned to pre‐release levels within 1–2 days as hatchery‐reared fish quickly emigrated downstream. The predation response during a June release located farther downstream was dissimilar. Chinook salmon consumption increased to a lesser extent (11‐fold), lasted several days (~4) and no changes in feeding intensity were evident. Estimated numbers of age‐0 hatchery‐reared Chinook salmon lost to short‐term predation varied by year and study reach and ranged from 12,007 (6.03% of those released) to 210,580 (14.6% of those released) fish. Short‐term, intense feeding by smallmouth bass can contribute significantly to mortality of hatchery‐reared fish and should be considered when supplementing populations with hatchery juveniles.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12322","usgsCitation":"Erhardt, J.M., and Tiffan, K.F., 2018, Post‐release predation mortality of age‐0 hatchery‐reared Chinook salmon from non‐native smallmouth bass in the Snake River: Fisheries Management and Ecology, v. 25, no. 6, p. 474-487, https://doi.org/10.1111/fme.12322.","productDescription":"14 p.","startPage":"474","endPage":"487","ipdsId":"IP-098367","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":362013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Washington","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.81188964843751,\n 45.178164812206376\n ],\n [\n -115.96618652343749,\n 45.178164812206376\n ],\n [\n -115.96618652343749,\n 46.76620587423741\n ],\n [\n -117.81188964843751,\n 46.76620587423741\n ],\n [\n -117.81188964843751,\n 45.178164812206376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Erhardt, John M. 0000-0002-5170-285X jerhardt@usgs.gov","orcid":"https://orcid.org/0000-0002-5170-285X","contributorId":5380,"corporation":false,"usgs":true,"family":"Erhardt","given":"John","email":"jerhardt@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":759203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846 ktiffan@usgs.gov","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":3200,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","email":"ktiffan@usgs.gov","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":759204,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202023,"text":"70202023 - 2018 - A diverse suite of pharmaceuticals contaminates stream and riparian food webs","interactions":[],"lastModifiedDate":"2019-02-06T16:12:33","indexId":"70202023","displayToPublicDate":"2018-12-01T16:12:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"A diverse suite of pharmaceuticals contaminates stream and riparian food webs","docAbstract":"A multitude of biologically active pharmaceuticals contaminate surface waters globally, yet their presence in aquatic food webs remain largely unknown. Here, we show that over 60 pharmaceutical compounds can be detected in aquatic invertebrates and riparian spiders in six streams near Melbourne, Australia. Similar concentrations in aquatic invertebrate larvae and riparian predators suggest direct trophic transfer via emerging adult insects to riparian predators that consume them. As representative vertebrate predators feeding on aquatic invertebrates, platypus and brown trout could consume some drug classes such as antidepressants at as much as one-half of a recommended therapeutic dose for humans based on their estimated prey consumption rates, yet the consequences for fish and wildlife of this chronic exposure are unknown. Overall, this work highlights the potential exposure of aquatic and riparian biota to a diverse array of pharmaceuticals, resulting in exposures to some drugs that are comparable to human dosages.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-018-06822-w","usgsCitation":"Richmond, E.K., Rosi, E.J., Walters, D., Fikk, J., Hamilton, S.K., Brodin, T., Sundelin, A., and Grace, M.R., 2018, A diverse suite of pharmaceuticals contaminates stream and riparian food webs: Nature Communications, v. 9, p. 1-9, https://doi.org/10.1038/s41467-018-06822-w.","productDescription":"Article number 4491; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-097197","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":468209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-018-06822-w","text":"Publisher Index Page"},{"id":361064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Erinn K.","contributorId":212849,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","email":"","middleInitial":"K.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":756737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":756738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":756736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fikk, Jerker","contributorId":212850,"corporation":false,"usgs":false,"family":"Fikk","given":"Jerker","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":756739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Stephen K.","contributorId":143690,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":756740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brodin, Tomas","contributorId":212851,"corporation":false,"usgs":false,"family":"Brodin","given":"Tomas","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":756741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sundelin, Anna","contributorId":212852,"corporation":false,"usgs":false,"family":"Sundelin","given":"Anna","email":"","affiliations":[{"id":38691,"text":"Umea Univ.","active":true,"usgs":false}],"preferred":false,"id":756742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":756743,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70202586,"text":"70202586 - 2018 - Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","interactions":[],"lastModifiedDate":"2019-03-13T15:44:08","indexId":"70202586","displayToPublicDate":"2018-12-01T15:44:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","docAbstract":"We document the composition of a natural zircon gemstone sourced from Madagascar, MAD‐559 – a new reference material for calibrating trace element mass fractions in zircon measured by SIMS. The composition of MAD‐559 was quantified by calibration relative to the well‐documented zircon reference material 91500, for which we compiled existing published data (Mg, Al, Y, rare earth elements, Hf, U, Th) and performed new measurements to characterise the mass fraction of less commonly measured elements (Li, Be, B, F, Na, P, K, Ca, Sc, Ti, Fe, Nb). Measurement results of SL13, CZ3 and MAD‐1 zircons and NIST SRM glasses were performed as quality control materials to test measurement bias and repeatability. We show the intermediate precision for most trace element measurement results of MAD‐559 to be between ± 3% and ± 5% RSD based on 139 measurements by SIMS on twenty‐five individual polished zircon chips measured during a 24‐h period, as well as repeat measurements performed over five separate analytical sessions. Trace element mass fractions were also measured by LA‐ICP‐MS in two different laboratories, and major element compositions measured by electron microprobe, to compare with results measured by SIMS. Based on laser Raman and hyperspectral cathodoluminescence spectroscopy, we show MAD‐559 to have high crystal disorder due to radiation damage relative to crystalline zircon (e.g., SL13 and 91500 zircon). Although the high cumulative alpha dose of MAD‐559 zircon makes it a poor reference material for geochronology, the consistency of the trace element mass fraction results measured in multiple sessions and by various measurement methods shows that it is an ideal reference material for microanalytical trace element mass fraction quantification of zircon.
","language":"English","publisher":"International Association of Geoanalysts","doi":"10.1111/ggr.12238","usgsCitation":"Coble, M.A., Vazquez, J.A., Barth, A.P., Wooden, J.L., Burns, D., Kylander-Clark, A.R., Jackson, S., and Vennari, C.E., 2018, Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis: Geostandards and Geoanalytical Research, v. 42, no. 4, p. 481-497, https://doi.org/10.1111/ggr.12238.","productDescription":"17 p.","startPage":"481","endPage":"497","ipdsId":"IP-098965","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.12238","text":"Publisher Index Page"},{"id":362044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":759207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Andrew P.","contributorId":214136,"corporation":false,"usgs":false,"family":"Barth","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":38983,"text":"Indiana University - Purdue University","active":true,"usgs":false}],"preferred":false,"id":759209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":759210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Dale","contributorId":214137,"corporation":false,"usgs":false,"family":"Burns","given":"Dale","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":759211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":759212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, Simon","contributorId":214138,"corporation":false,"usgs":false,"family":"Jackson","given":"Simon","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":759213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vennari, Cara E.","contributorId":214139,"corporation":false,"usgs":false,"family":"Vennari","given":"Cara","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":759214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201394,"text":"70201394 - 2018 - Global Earthquake Model (GEM) Risk Map","interactions":[],"lastModifiedDate":"2018-12-13T15:43:35","indexId":"70201394","displayToPublicDate":"2018-12-01T15:43:29","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Global Earthquake Model (GEM) Risk Map","docAbstract":"The Global Earthquake Risk Map (v2018.1) comprises four global maps. The main map presents the geographic distribution of average annual loss (USD) normalized by the\naverage construction costs of the respective country (USD/m2 due to ground shaking in\nthe residential, commercial and industrial building stock, considering contents, structural and non-structural components. The normalized metric allows a direct comparison of the risk between countries with widely different construction costs. It does not consider the effects of tsunamis, liquefaction, landslides, and fires following earthquakes. The loss estimates are from direct physical damage to buildings due to shaking, and thus damage to infrastructure or indirect losses due to business interruption are not included. The Global Earthquake Hazard Map depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference rock conditions (shear wave velocity of 760-800 m/s). The Global Exposure Map depicts the geographic distribution of residential, commercial and industrial buildings. The Global Seismic Fatalities Map depicts an estimate of average annual human losses due to earthquake-induced structural collapse of buildings. The results for human losses do not consider indirect fatalities such as those from post earthquake epidemics. The average annual losses and number of buildings are presented on a hexagonal grid, with a spacing of 0.30 x 0.34 decimal degrees (approximately 1,000 km2 at the equator). The average annual losses were computed using the event-based calculator of the OpenQuake engine, an open-source software for seismic hazard and risk analysis developed by the GEM Foundation. The seismic hazard, exposure and vulnerability models employed in these calculations were provided by national institutions, or developed within the scope of regional programs or bilateral collaborations. These global maps and the underlying databases are based on best available and publicly accessible datasets and models. Due to possible limitations in the model, regions portrayed with low risk may experience potentially damaging earthquakes. The GEM Risk Map is intended to be a dynamic product, which will be updated when new datasets and models become available. Updated versions of the hazard, exposure, and average annual losses will be released on a regular basis. Additional metrics for each country can be explored at globalquakemodel.org/gem.","language":"English","publisher":"Global Earthquake Model Foundation","doi":"10.13117/GEM-GLOBAL-SEISMIC-RISK-MAP-2018","usgsCitation":"Silva, V., Amo-Oduro, D., Calderon, A., Dabbeek, J., Despotaki, V., Martins, L., Rao, A., Simionato, M., Vigano, D., Yepes, C., Acevedo, A., Crowley, H., Horspool, N., Jaiswal, K.S., Journeay, M., and Pittore, M., 2018, Global Earthquake Model (GEM) Risk Map, https://doi.org/10.13117/GEM-GLOBAL-SEISMIC-RISK-MAP-2018.","ipdsId":"IP-103543","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":360265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c137dd3e4b006c4f8514887","contributors":{"authors":[{"text":"Silva, V.","contributorId":211393,"corporation":false,"usgs":false,"family":"Silva","given":"V.","email":"","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amo-Oduro, D.","contributorId":211394,"corporation":false,"usgs":false,"family":"Amo-Oduro","given":"D.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calderon, A.","contributorId":211395,"corporation":false,"usgs":false,"family":"Calderon","given":"A.","email":"","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dabbeek, J.","contributorId":211396,"corporation":false,"usgs":false,"family":"Dabbeek","given":"J.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Despotaki, V.","contributorId":211397,"corporation":false,"usgs":false,"family":"Despotaki","given":"V.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martins, L.","contributorId":211398,"corporation":false,"usgs":false,"family":"Martins","given":"L.","email":"","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rao, A.","contributorId":211399,"corporation":false,"usgs":false,"family":"Rao","given":"A.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Simionato, M.","contributorId":211400,"corporation":false,"usgs":false,"family":"Simionato","given":"M.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753962,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vigano, D.","contributorId":211401,"corporation":false,"usgs":false,"family":"Vigano","given":"D.","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753963,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yepes, C.","contributorId":211402,"corporation":false,"usgs":false,"family":"Yepes","given":"C.","email":"","affiliations":[{"id":38243,"text":"GEM Foundation Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753964,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Acevedo, A.","contributorId":211403,"corporation":false,"usgs":false,"family":"Acevedo","given":"A.","email":"","affiliations":[{"id":38244,"text":"Department of Civil Engineering, Universidad EAFIT, Medellin, Colombia","active":true,"usgs":false}],"preferred":false,"id":753965,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Crowley, H.","contributorId":211404,"corporation":false,"usgs":false,"family":"Crowley","given":"H.","email":"","affiliations":[{"id":38245,"text":"EUCENTRE Pavia Italy","active":true,"usgs":false}],"preferred":false,"id":753966,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Horspool, Nick","contributorId":175114,"corporation":false,"usgs":false,"family":"Horspool","given":"Nick","email":"","affiliations":[],"preferred":false,"id":753970,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":753967,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Journeay, M.","contributorId":211405,"corporation":false,"usgs":false,"family":"Journeay","given":"M.","affiliations":[{"id":38246,"text":"Geological Survey of Canada, Vancouver Canada","active":true,"usgs":false}],"preferred":false,"id":753968,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pittore, M.","contributorId":211406,"corporation":false,"usgs":false,"family":"Pittore","given":"M.","affiliations":[{"id":38247,"text":"GFZ Potsdam Germany","active":true,"usgs":false}],"preferred":false,"id":753969,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70202749,"text":"70202749 - 2018 - Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel","interactions":[],"lastModifiedDate":"2019-03-25T09:27:04","indexId":"70202749","displayToPublicDate":"2018-12-01T15:35:59","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel","docAbstract":"In this study, we conducted multiple physical experiments to estimate the efficacy and spatial pattern of erosion by abrading sediment moving through a simple U‐shaped channel bend with erodible bed and banks. The experiments showed that in the bend, lateral abrasion followed a monotonically increasing linear relationship with sediment feed rate. However, vertical incision had a more complex relation with the sediment feed rate, with an initial increase in abrasion as the feed rate increased followed by a decrease in abrasion of the bed as cover effects became dominant at higher feed rates. Bank erosion was large in places where the width and the lateral slope of the point bar were relatively large. On the other hand, in places where the width of the point bar was smaller, the bedrock bed was eroded primarily along the boundary of the point bar, resulting in a bedrock bench near the outer bank.
","language":"English","publisher":"AGU","doi":"10.1029/2017JF004387","usgsCitation":"Mishra, J., Inoue, T., Shimizu, Y., Sumner, T., and Nelson, J.M., 2018, Consequences of abrading bed load on vertical and lateral bedrock erosion in a curved experimental channel: Journal of Geophysical Research F: Earth Surface, v. 123, no. 12, p. 3147-3161, https://doi.org/10.1029/2017JF004387.","productDescription":"15 p.","startPage":"3147","endPage":"3161","ipdsId":"IP-102147","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468211,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jf004387","text":"Publisher Index Page"},{"id":362290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Shimanto River","volume":"123","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Mishra, Jagriti","contributorId":214403,"corporation":false,"usgs":false,"family":"Mishra","given":"Jagriti","email":"","affiliations":[{"id":39031,"text":"CERI","active":true,"usgs":false}],"preferred":false,"id":759792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Inoue, Takuya","contributorId":173794,"corporation":false,"usgs":false,"family":"Inoue","given":"Takuya","email":"","affiliations":[{"id":27295,"text":"Civil Engineering Research Institute, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":759793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimizu, Yasuyuki","contributorId":173790,"corporation":false,"usgs":false,"family":"Shimizu","given":"Yasuyuki","email":"","affiliations":[{"id":17805,"text":"Hokkaido University, Sapporo, Japan","active":true,"usgs":false}],"preferred":false,"id":759794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sumner, Tamaki","contributorId":214404,"corporation":false,"usgs":false,"family":"Sumner","given":"Tamaki","email":"","affiliations":[{"id":39032,"text":"Suiko Research","active":true,"usgs":false}],"preferred":false,"id":759795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":759791,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202399,"text":"70202399 - 2018 - Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","interactions":[],"lastModifiedDate":"2019-02-27T15:35:57","indexId":"70202399","displayToPublicDate":"2018-12-01T15:35:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","title":"Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America","docAbstract":"Avian trichomonosis, caused by the protozoan Trichomonas gallinae, affects bird-eating raptors worldwide. Raptors can develop trichomonosis by feeding on infected prey, particularly Rock Pigeons (Columba livia), which are a reservoir for T. gallinae. Raptors may be particularly vulnerable to T. gallinae infection in degraded habitats, where changes in resources may cause raptors to switch from foraging on native prey to synanthropic avian species such as Rock Pigeons. Golden Eagles (Aquila chrysaetos) typically forage on mammals; however, habitat across much of their range is experiencing degradation through changes in land use, climate, and human encroachment. In 2015, we examined the prevalence of T. gallinae infection in Golden Eagle nestlings across western North America and conducted an intensive study on factors associated with T. gallinae infection and trichomonosis in southwestern Idaho. We found T. gallinaeinfection in 13% (12/96) of eagle nestlings across 10 western states and in 41% (13/32) of nestlings in southwestern Idaho. At the Idaho site, the probability of T. gallinae infection increased as the proportion of Rock Pigeons in nestling diet increased. Nestlings with diets that consisted of ≥10% Rock Pigeons had a very high probability of T. gallinae infection. We compared historical (1971–81) and recent (2014–15) diet data and incidence of trichomonosis lesions of nestling eagles in Idaho and found that the proportion of Rock Pigeons in eagle diets was higher in recent versus historical periods, as was the proportion of eagle nestlings with trichomonosis lesions. Our results suggested that localized shifts in eagle diet that result from habitat degradation and loss of historical prey resources have the potential to affect Golden Eagle nestling survival and supported the hypothesis that land use change can alter biologic communities in a way that might have consequences for disease infection and host susceptibility.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-11-271","usgsCitation":"Dudek, B.M., Kochert, M.N., Barnes, J.G., Bloom, P.H., Papp, J.M., Gerhold, R.W., Purple, K.E., Jacobson, K.V., Preston, C.R., Vennum, C.R., Watson, J.W., and Heath, J.A., 2018, Prevalence and risk factors of Trichomonas gallinae and trichomonosis in golden eagle (Aquila chrysaetos) nestlings in western North America: Journal of Wildlife Diseases, v. 54, no. 4, p. 755-764, https://doi.org/10.7589/2017-11-271.","productDescription":"10 p.","startPage":"755","endPage":"764","ipdsId":"IP-092233","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":361592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"54","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudek, Benjamin M","contributorId":213631,"corporation":false,"usgs":false,"family":"Dudek","given":"Benjamin","email":"","middleInitial":"M","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":758189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kochert, Michael N. 0000-0002-4380-3298 mkochert@usgs.gov","orcid":"https://orcid.org/0000-0002-4380-3298","contributorId":3037,"corporation":false,"usgs":true,"family":"Kochert","given":"Michael","email":"mkochert@usgs.gov","middleInitial":"N.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":758188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Joseph G.","contributorId":213632,"corporation":false,"usgs":false,"family":"Barnes","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":758190,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bloom, Peter H.","contributorId":191356,"corporation":false,"usgs":false,"family":"Bloom","given":"Peter","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":758191,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Papp, Joseph M.","contributorId":213633,"corporation":false,"usgs":false,"family":"Papp","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":38830,"text":"Bloom Research Inc.","active":true,"usgs":false}],"preferred":false,"id":758192,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerhold, Richard W.","contributorId":201770,"corporation":false,"usgs":false,"family":"Gerhold","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":758193,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Purple, Kathryn E.","contributorId":213634,"corporation":false,"usgs":false,"family":"Purple","given":"Kathryn","email":"","middleInitial":"E.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":758194,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jacobson, Kenneth V.","contributorId":213635,"corporation":false,"usgs":false,"family":"Jacobson","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":38831,"text":"Arizona Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":758195,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Preston, Charles R.","contributorId":198922,"corporation":false,"usgs":false,"family":"Preston","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":758196,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vennum, Chris R.","contributorId":213636,"corporation":false,"usgs":false,"family":"Vennum","given":"Chris","email":"","middleInitial":"R.","affiliations":[{"id":37455,"text":"University of Nevada","active":true,"usgs":false}],"preferred":false,"id":758197,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Watson, James W.","contributorId":198921,"corporation":false,"usgs":false,"family":"Watson","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":758198,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heath, Julie A.","contributorId":192842,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":758199,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70201801,"text":"70201801 - 2018 - No flood effect on recruitment of a small Louisiana black bear population","interactions":[],"lastModifiedDate":"2019-01-30T15:05:37","indexId":"70201801","displayToPublicDate":"2018-12-01T15:02:43","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"No flood effect on recruitment of a small Louisiana black bear population","docAbstract":"A flood event in 2011 had minor impacts on apparent survival and movement probabilities of a small, isolated population of Louisiana black bears (Ursus americanus luteolus) in the Upper Atchafalaya River Basin, Louisiana, USA. However, the potential effects of the flood on recruitment of juveniles into the population, then listed as threatened under the United States Endangered Species Act, were not evaluated. We used hair trapping data collected from 2007 to 2015 and Pradel temporal symmetry models in a robust‐design framework to investigate changes in per capita recruitment that could have resulted from the flood. We detected 91 bears (37 M:54 F) within the flooded area during our study period, ranging from 21 to 44 individuals/year. Models that tested for reduced recruitment resulting from the flood were not supported more than models with constant recruitment, and the population growth rate did not decline. Although we documented marginally lower recruitment following the 2011 flood, lag effects and detectability biases complicated our analysis. We suggest that wildlife managers continue monitoring recruitment and survival in this recently delisted black bear population given the potential for heightened flood frequency and severity in the future.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21399","usgsCitation":"Clark, J.D., O’Connell-Goode, K.C., Lowe, C.L., Murphy, S.M., Maehr, S.C., Davidson, M., and Laufenberg, J.S., 2018, No flood effect on recruitment of a small Louisiana black bear population: Journal of Wildlife Management, v. 82, no. 3, p. 566-572, https://doi.org/10.1002/jwmg.21399.","productDescription":"7 p.","startPage":"566","endPage":"572","ipdsId":"IP-091472","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":360831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":755409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell-Goode, Kaitlin C.","contributorId":211981,"corporation":false,"usgs":false,"family":"O’Connell-Goode","given":"Kaitlin","email":"","middleInitial":"C.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":755410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowe, Carrie L.","contributorId":187785,"corporation":false,"usgs":false,"family":"Lowe","given":"Carrie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":755411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sean M.","contributorId":140195,"corporation":false,"usgs":false,"family":"Murphy","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":755412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maehr, Sutton C.","contributorId":211982,"corporation":false,"usgs":false,"family":"Maehr","given":"Sutton","email":"","middleInitial":"C.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":755413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Davidson, Maria M.","contributorId":187788,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria M.","affiliations":[],"preferred":false,"id":755414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":755415,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201740,"text":"70201740 - 2018 - How or when samples are collected affects measured arsenic concentration in new drinking water wells","interactions":[],"lastModifiedDate":"2019-01-28T14:57:43","indexId":"70201740","displayToPublicDate":"2018-12-01T14:57:36","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"How or when samples are collected affects measured arsenic concentration in new drinking water wells","docAbstract":"Naturally occurring arsenic can adversely affect water quality in geologically diverse aquifers throughout the world. Chronic exposure to arsenic via drinking water is a human health concern due to risks for certain cancers, skin abnormalities, peripheral neuropathy, and other negative health effects. Statewide in Minnesota, USA, 11% of samples from new drinking water wells have arsenic concentrations exceeding 10 μg/L; in certain counties more than 35% of tested samples exceed 10 μg/L arsenic. Since 2008, Minnesota well code has required testing water from new wells for arsenic. Sample collection protocols are not specified in the well code, so among 180 well drillers there is variability in sampling methods, including sample collection point and sample collection timing. This study examines the effect of arsenic sample collection protocols on the variability of measured arsenic concentrations in water from new domestic water supply wells. Study wells were drilled between 2014 and 2016 in three regions of Minnesota that commonly have elevated arsenic concentrations in groundwater. Variability in measured arsenic concentration at a well was reduced when samples were (1) filtered, (2) collected from household plumbing instead of from the drill rig pump, or (3) collected several months after well construction (instead of within 4 weeks of well installation). Particulates and fine aquifer sediments entrained in groundwater samples, or other artifacts of drilling disturbance, can cause undesirable variability in measurements. Establishing regulatory protocols requiring sample filtration and/or collection from household plumbing could improve the reliability of information provided to well owners and to secondary data users.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12643","usgsCitation":"Erickson, M., Malenda, H.F., and Berquist, E.C., 2018, How or when samples are collected affects measured arsenic concentration in new drinking water wells: Groundwater, v. 56, no. 6, p. 921-933, https://doi.org/10.1111/gwat.12643.","productDescription":"13 p.","startPage":"921","endPage":"933","ipdsId":"IP-090483","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":468212,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12643","text":"Publisher Index Page"},{"id":437663,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7736PVK","text":"USGS data release","linkHelpText":"Arsenic and field parameter determinations for newly constructed wells in the central, northwest, and northeast regions in Minnesota"},{"id":360765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360748,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/abs/10.1111/gwat.12643"}],"volume":"56","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-06","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e817","contributors":{"authors":[{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malenda, Helen F. 0000-0003-4143-6460","orcid":"https://orcid.org/0000-0003-4143-6460","contributorId":211885,"corporation":false,"usgs":false,"family":"Malenda","given":"Helen","email":"","middleInitial":"F.","affiliations":[{"id":38341,"text":"Colorodo School of Mines","active":true,"usgs":false}],"preferred":true,"id":755127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berquist, Emily C.","contributorId":202174,"corporation":false,"usgs":false,"family":"Berquist","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":36357,"text":"Minnesota Department of Health","active":true,"usgs":false}],"preferred":false,"id":755128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202557,"text":"70202557 - 2018 - Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems","interactions":[],"lastModifiedDate":"2019-03-11T14:53:01","indexId":"70202557","displayToPublicDate":"2018-12-01T14:52:55","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems","docAbstract":"A method for quantifying the role of dynamic storage as a physical buffer between snowmelt and streamflow at the catchment scale is introduced in this paper. The method describes a quantitative relation between hydrologic events (e.g., snowmelt) and responses (e.g., streamflow) by generating event-response ellipses that can be used to (a) characterize and compare catchment-scale dynamic storage processes, and (b) assess the closure of the water balance. Event-response ellipses allow for the role of dynamic, short-term storage to be quantified and compared between seasons and between catchments. This method is presented as an idealization of the system: a time series of a snowmelt event as a portion of a sinusoidal wave function. The event function is then related to a response function, which is the original event function modified mathematically through phase and magnitude shifts to represent the streamflow response. The direct relation of these two functions creates an event-response ellipse with measurable characteristics (e.g., eccentricity, angle). The ellipse characteristics integrate the timing and magnitude difference between the hydrologic event and response to quantify physical buffering through dynamic storage. Next, method is applied to eleven snowmelt seasons in two well-instrumented headwater snowmelt-dominated catchments with known differences in storage capacities. Results show the time-period average daily values produce different event-response ellipse characteristics for the two catchments. Event-response ellipses were also generated for individual snowmelt seasons; however, these annual applications of the method show more scatter relative to the time period averaged values. The event-response ellipse method provides a method to compare and evaluate the connectivity between snowmelt and streamflow as well as assumptions of water balance.
","language":"English","publisher":"MDPI","doi":"10.3390/w10121824","usgsCitation":"Driscoll, J.M., Meixner, T., Molotch, N.P., Ferre, T.P., Williams, M.W., and Sickman, J.O., 2018, Event-response ellipses: A method to quantify and compare the role of dynamic storage at the catchment scale in snowmelt-dominated systems: Water, v. 10, no. 12, p. 1-17, https://doi.org/10.3390/w10121824.","productDescription":"Article 1824; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-096914","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":468213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w10121824","text":"Publisher Index Page"},{"id":361982,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"12","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Driscoll, Jessica M. 0000-0003-3097-9603 jdriscoll@usgs.gov","orcid":"https://orcid.org/0000-0003-3097-9603","contributorId":167585,"corporation":false,"usgs":true,"family":"Driscoll","given":"Jessica","email":"jdriscoll@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":759101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meixner, Thomas","contributorId":22653,"corporation":false,"usgs":false,"family":"Meixner","given":"Thomas","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Molotch, Noah P. 0000-0003-4733-8060","orcid":"https://orcid.org/0000-0003-4733-8060","contributorId":203466,"corporation":false,"usgs":false,"family":"Molotch","given":"Noah","email":"","middleInitial":"P.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":759103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferre, Ty P. A.","contributorId":214081,"corporation":false,"usgs":false,"family":"Ferre","given":"Ty","email":"","middleInitial":"P. A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":759104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Mark W.","contributorId":214082,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":38977,"text":"University of Colorado at Boulder","active":true,"usgs":false}],"preferred":false,"id":759105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sickman, James O.","contributorId":214083,"corporation":false,"usgs":false,"family":"Sickman","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":38978,"text":"University of California at Riverside","active":true,"usgs":false}],"preferred":false,"id":759106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204195,"text":"70204195 - 2018 - Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","interactions":[],"lastModifiedDate":"2019-07-11T14:35:05","indexId":"70204195","displayToPublicDate":"2018-12-01T14:32:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Estimates of abundance and longevity of Bridled Quail-Doves (Geotrygon mystacea) on Guana Island, British Virgin Islands","docAbstract":"The Bridled Quail-Dove (Geotrygon mystacea) is a columbiform resident of the eastern Caribbean. It is a poorly studied species with a lack of quantitative data to assess population status, but perceived population declines have led to it being considered a species of conservation concern on many islands. I attempted to assess population size and survival of Bridled Quail-Doves on Guana Island, British Virgin Islands. Based on detection probability, density estimates for Guana Island ranged from 1.38 to 1.57 individuals/ha in 2014 and 2015, respectively. Densities varied among cover type, with an estimated 1.13 individuals/ha in dry forest (90% of the island) and 4.63 individuals/ha in ghaut forest (5% of the island). These values would translate to a pooled estimate of ∼429 individuals during the survey period. Of 36 Bridled Quail-Doves captured and marked, the naïve estimate of annual survival was 0.813, with 0.36 captured individuals surviving at least 1 year, and the average minimum age at last recapture was 4.9 years old. This report is the first quantitative based estimates of population size and longevity for the species and may serve as a starting point for longer-term studies on Guana Island, but also for comparison to populations on other islands.
The strontium to calcium ratio (Sr/Ca) in aragonitic skeletons of massive corals provides a proxy for sea surface temperature (SST) that can be used to reconstruct paleoclimates across decades, centuries, and, potentially, millennia. Determining the reproducibility of Sr/Ca records among contemporaneous coral colonies from the same region is critical to quantifying uncertainties associated with the Sr/Ca‐SST proxy. We evaluated both intracolony and intercolony variability in Sr/Ca using five modern colonies of Orbicella faveolata collected live from the Dry Tortugas National Park, FL. We regressed all available Sr/Ca‐SST data pairs from the five O. faveolata colonies against the Advanced Very High Resolution Radiometer gridded SST data set to produce a new Sr/Ca‐SST calibration equation (Sr/Ca = −0.049 × SST + 10.460), which we suggest can be applied to O. faveolatacolonies collected throughout the Gulf of Mexico/Caribbean region. We estimated total uncertainty by calculating the root‐mean‐square of the intracolony, intercolony, and analytical error terms. Our (1σ) uncertainty estimates of 0.082 mmol/mol (1.66 °C) for subannual Sr/Ca‐SST and 0.070 mmol/mol (1.43 °C) for mean annual Sr/Ca‐SST represent conservative error terms that can be applied to individual data points in single‐colony Sr/Ca‐SST reconstructions. We illustrate how these uncertainties can be significantly reduced by generating multicolony reconstructions and/or through replication of sampling within individual coral colonies. Although the uncertainties on absolute Sr/Ca‐based SST are likely too large to allow researchers to evaluate subdecadal temperature variability, we show that the O. faveolata paleothermometer can reliably detect changes of ~2 °C across decadal timescales and ~1 °C over multidecadal timescales.
","language":"English","publisher":"AGU","doi":"10.1029/2018PA003389","usgsCitation":"Flannery, J.A., Richey, J.N., Toth, L., Kuffner, I.B., and Poore, R.Z., 2018, Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata: Paleoceanography and Paleoclimatology, v. 33, no. 9, p. 958-973, https://doi.org/10.1029/2018PA003389.","productDescription":"16 p.","startPage":"958","endPage":"973","ipdsId":"IP-088292","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":360753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-15","publicationStatus":"PW","scienceBaseUri":"5c5022c5e4b0708288f7e81b","contributors":{"authors":[{"text":"Flannery, Jennifer A. 0000-0002-1692-2662 jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":147454,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755151,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201575,"text":"70201575 - 2018 - Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","interactions":[],"lastModifiedDate":"2020-12-16T16:16:07.072337","indexId":"70201575","displayToPublicDate":"2018-12-01T13:44:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","docAbstract":"The land snails and slugs have the highest level of endemism among all major animal groups on the California Channel Islands, with nearly 75% of the native terrestrial species confined to one or more of the 8 islands. In spite of this endemism, and in spite of the rarity of some species, the snails and slugs are one of the most poorly known groups. We present the first comprehensive overview of the land mollusk fauna of the Channel Islands, along with the results of recent intensive inventory studies. Surveys on San Clemente Island have increased the number of land mollusk species known from that island by 50%, and a single survey trip to Santa Rosa Island more than doubled the number of species known on that island. More additions to the land snail and slug fauna are certain for the poorly surveyed northern Channel Islands. This new information has provided insight into trends in species diversity and biogeographic patterns, with marked differences in species composition between the northern and southern islands. Our surveys to date suggest a strong link between the recovery of native vegetation on the islands and the population status of land snails and slugs, with substantially larger numbers of native mollusks on those islands that have been free of nonnative mammals the longest. Survey work is continuing, but it is clear that some very rare endemic snails and slugs on the islands merit specific management attention.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.078.0419","usgsCitation":"Drost, C.A., Nekola, J.C., Roth, B., and Pearce, T.A., 2018, Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status: Western North American Naturalist, v. 78, no. 4, p. 799-810, https://doi.org/10.3398/064.078.0419.","productDescription":"12 p.","startPage":"799","endPage":"810","ipdsId":"IP-088858","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss4/29","text":"External Repository"},{"id":360479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.3282470703125,\n 32.79651010951669\n ],\n [\n -118.27880859375001,\n 33.37641235124676\n ],\n [\n -118.5369873046875,\n 33.52307880890422\n ],\n [\n -119.5147705078125,\n 34.102707993174874\n ],\n [\n -120.531005859375,\n 34.08906131584994\n ],\n [\n -120.3277587890625,\n 33.85673152928873\n ],\n [\n -119.54223632812501,\n 33.17434155100208\n ],\n [\n -118.4051513671875,\n 32.7503226078097\n ],\n [\n -118.3282470703125,\n 32.79651010951669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1532e4b0708288c23523","contributors":{"authors":[{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":754467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roth, Barry","contributorId":211600,"corporation":false,"usgs":false,"family":"Roth","given":"Barry","email":"","affiliations":[{"id":38271,"text":"San Francisco, CA 94117, barry_roth@yahoo.com","active":true,"usgs":false}],"preferred":false,"id":754468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, Timothy A.","contributorId":211601,"corporation":false,"usgs":false,"family":"Pearce","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":38272,"text":"Carnegie Museum of Natural History, Pittsburgh, PA 15213, PearceT@carnegiemnh.org","active":true,"usgs":false}],"preferred":false,"id":754469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201700,"text":"70201700 - 2018 - Building a response network to investigate potential pathogens associated with unionid mortality events","interactions":[],"lastModifiedDate":"2020-12-15T22:37:43.071724","indexId":"70201700","displayToPublicDate":"2018-12-01T13:41:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1492,"text":"Ellipsaria","active":true,"publicationSubtype":{"id":10}},"title":"Building a response network to investigate potential pathogens associated with unionid mortality events","docAbstract":"Unexplained mortality events have confounded the mussel conservation community for over 30 years. While the effects of chemical pollutants and environmental factors have been examined, few investigations have focused on the identification of potential mussel pathogens. Consequently, very little is known regarding the impact that pathogens have on freshwater mussel health, especially as they pertain to propagation efforts. There are several barriers that have hindered progress in the study of freshwater mussel disease, one of which is lack of appropriate diagnostic tools, and another is lack of guidance for field personnel regarding sampling procedures and laboratory contacts.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","usgsCitation":"Leis, E., Waller, D.L., Knowles, S., Goldberg, T., Putnam, J.G., Richard, J., Erickson, S., Blevins, E., and Weinzinger, J., 2018, Building a response network to investigate potential pathogens associated with unionid mortality events: Ellipsaria, v. 20, no. 4, p. 44-45.","productDescription":"2 p.","startPage":"44","endPage":"45","ipdsId":"IP-103320","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":361031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360686,"type":{"id":15,"text":"Index Page"},"url":"https://molluskconservation.org/Ellipsaria-archive.html"}],"volume":"20","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":754894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":754893,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":754895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":754896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Putnam, Joel G. 0000-0002-5464-4587 jgputnam@usgs.gov","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":5783,"corporation":false,"usgs":true,"family":"Putnam","given":"Joel","email":"jgputnam@usgs.gov","middleInitial":"G.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":754901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richard, Jordan","contributorId":211789,"corporation":false,"usgs":false,"family":"Richard","given":"Jordan","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":754897,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Sarah","contributorId":211790,"corporation":false,"usgs":false,"family":"Erickson","given":"Sarah","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":754898,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blevins, Emilie","contributorId":211792,"corporation":false,"usgs":false,"family":"Blevins","given":"Emilie","email":"","affiliations":[{"id":38320,"text":"Xerxes Society, OR","active":true,"usgs":false}],"preferred":false,"id":754900,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weinzinger, Jesse","contributorId":211791,"corporation":false,"usgs":false,"family":"Weinzinger","given":"Jesse","email":"","affiliations":[{"id":38155,"text":"WI DNR","active":true,"usgs":false}],"preferred":false,"id":754899,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70202343,"text":"70202343 - 2018 - Characteristics of tropical tree species in hyperspectral and multispectral data","interactions":[],"lastModifiedDate":"2020-11-05T16:13:36.591228","indexId":"70202343","displayToPublicDate":"2018-12-01T13:41:44","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Characteristics of tropical tree species in hyperspectral and multispectral data","docAbstract":"Remote sensing has been hailed as a promising technology to provide spatially explicit information on tree species distribution. Such information is of high value for ecologists and forest managers, particularly in tropical environments in which it is acquired by costly field inventories performed at the plot level (∼1 ha). Over the last decade, hyperspectral sensors, usually on board airborne platforms, have been successfully employed for tropical tree species classification. Most of the studies focused on the improvement of the classification accuracy, without examining the sources of variability in canopy reflectance that contribute to discriminate among species. Trees of different species usually feature distinct crown structural and chemical characteristics defined by size, shape, leaf density, branching, pigment and nonpigment biochemical constituents, among others. Understanding the role of these characteristics on tree species discrimination is important to improve and optimize the use of hyperspectral data. Here, we show how spectral characteristics of tree species, from highly diverse tropical forests, are related to their chemical and structural properties. These spectral characteristics were retrieved by spectral mixture and feature analysis, using narrow-band data acquired in the optical domain (450–2400 nm). Finally, we assessed how the spectral resolution affects the classification accuracy and spectral separability.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biophysical and biochemical characterization and plant species studies","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/9780429431180-8","usgsCitation":"Pinheiro Ferreira, M., Hummel do Amaral, C., Vaglio Laurin, G., Kokaly, R.F., Roberto de Souza Filho, C., and Edemir Shimabukuro, Y., 2018, Characteristics of tropical tree species in hyperspectral and multispectral data, chap. 8 of Biophysical and biochemical characterization and plant species studies, 21 p., https://doi.org/10.1201/9780429431180-8.","productDescription":"21 p.","ipdsId":"IP-095891","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":361655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":758615,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":758616,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Huete, Alfredo 0000-0003-2809-2376","orcid":"https://orcid.org/0000-0003-2809-2376","contributorId":208294,"corporation":false,"usgs":false,"family":"Huete","given":"Alfredo","email":"","affiliations":[],"preferred":false,"id":758617,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pinheiro Ferreira, Matheus","contributorId":213521,"corporation":false,"usgs":false,"family":"Pinheiro Ferreira","given":"Matheus","email":"","affiliations":[{"id":38773,"text":"National Institute for Space Research, Brazil","active":true,"usgs":false}],"preferred":false,"id":757937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hummel do Amaral, Cibele","contributorId":213522,"corporation":false,"usgs":false,"family":"Hummel do Amaral","given":"Cibele","email":"","affiliations":[{"id":38774,"text":"Universidade Federal de Viçosa (UFV), Brazil","active":true,"usgs":false}],"preferred":false,"id":757938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaglio Laurin, Gaia","contributorId":213523,"corporation":false,"usgs":false,"family":"Vaglio Laurin","given":"Gaia","email":"","affiliations":[{"id":38775,"text":"Tuscia University, Italy","active":true,"usgs":false}],"preferred":false,"id":757939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":150717,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"raymond@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":757936,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberto de Souza Filho, Carlos","contributorId":213524,"corporation":false,"usgs":false,"family":"Roberto de Souza Filho","given":"Carlos","email":"","affiliations":[{"id":38776,"text":"University of Campinas, Brazil","active":true,"usgs":false}],"preferred":false,"id":757940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edemir Shimabukuro, Yosio","contributorId":213525,"corporation":false,"usgs":false,"family":"Edemir Shimabukuro","given":"Yosio","email":"","affiliations":[{"id":38773,"text":"National Institute for Space Research, Brazil","active":true,"usgs":false}],"preferred":false,"id":757941,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201688,"text":"70201688 - 2018 - Hourly analyses of the large storms and atmospheric rivers that provide most of California's precipitation in only 10 to 100 hours per year","interactions":[],"lastModifiedDate":"2018-12-21T13:29:21","indexId":"70201688","displayToPublicDate":"2018-12-01T13:29:16","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Hourly analyses of the large storms and atmospheric rivers that provide most of California's precipitation in only 10 to 100 hours per year","docAbstract":"California is regularly impacted by floods and droughts, primarily as a result of too many or too few atmospheric rivers (ARs). This study analyzes a two-decade-long hourly precipitation dataset from 176 California weather stations and a 3-hourly AR chronology to report variations in rainfall events across California and their association with ARs. On average, 10-40 and 60-120 hours of rainfall in southern and northern California, respectively, are responsible for more than half of annual rainfall accumulations. Approximately 10-30% of annual precipitation at locations across the state is from only one large storm. On average, northern California receives 25-45 rainfall events annually (40-50% of which are AR-related). These events typically have longer durations and higher event-precipitation totals than those in southern California. Northern California also receives more AR landfalls with longer durations and stronger Integrated Vapor Transport (IVT). On average, ARs contribute 79%, 76%, and 68% of extreme-rainfall accumulations (i.e., top 5% events annually) in the north coast, northern Sierra, and Transverse Ranges of southern California, respectively.
The San Francisco Bay Area terrain gap in the California Coast Range allows more AR water vapor to reach inland over the Delta and Sacramento Valley, and thus, influences precipitation in the Delta’s catchment. This is particularly important for extreme precipitation in the northern Sierra Nevada, including river basins above Oroville Dam and Shasta Dam.
This study highlights differences between rainfall and AR characteristics in coastal versus inland northern California, differences that largely determine the regional geography of flood risks and water-reliability. These analyses support water resource, flood, levee, wetland, and ecosystem management within the catchment of the San Francisco estuary system by describing regional characteristics of ARs and their influence on rainfall on an hourly timescale.
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Unfortunately, identifying locations where such efforts are safer from climatic shifts is still challenging. We aimed to provide a method to approximate these potential habitat shifts for similar data- and research-limited contexts. We modeled the relationship between climate and the potential distribution of native biomes across the Hawaiian archipelago to provide a first approximation of potential native biome shifts under end-of-century projected climate. Our correlative model circumvents the lack of data necessary for the parameterization of mechanistic vegetation models in isolated and data-poor islands. We identified locations consistently expected to remain the same in terms of the native biome compatibility by the end of the century with a robust evaluation of sources of uncertainty in our projections. 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\"}}]}","volume":"27","issue":"12","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":757820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":757821,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201286,"text":"70201286 - 2018 - Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","interactions":[],"lastModifiedDate":"2018-12-10T12:49:01","indexId":"70201286","displayToPublicDate":"2018-12-01T12:48:53","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets","docAbstract":"Much of what we know about the functional ecology of aquatic and riparian ecosystems comes from work on regulated rivers (Johnson et al. 2012). What little we know about unregulated conditions on many of our larger rivers is often inferred from recollections of individuals, personal diaries, notes, maps, and collections from early scientific surveys (Webb et al. 2007) and from repeat photography (Turner and Karpiscak 1980; Webb 1996). Later surveys often included photographs typically taken at specific and relatively few locations. Because rivers and their related riparian ecosystems vary in both longitudinal and lateral dimensions, such records provide relatively general and incomplete information about historical resource conditions, especially at large spatial scales and over long spans of time.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377)","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Forest Service","doi":"10.2737/RMRS-GTR-377-CHAP9","usgsCitation":"Scott, M.L., Webb, R., Johnson, R.R., Turner, R.M., Friedman, J.M., and Fairley, H.C., 2018, Evaluating riparian vegetation change in canyon-bound reaches of the Colorado River using spatially extensive matched photo sets, chap. of Riparian research and management: Past, present, future: Volume 1 (General Technical Report RMRS-GTR-377), p. 148-173, https://doi.org/10.2737/RMRS-GTR-377-CHAP9.","productDescription":"26 p.","startPage":"148","endPage":"173","ipdsId":"IP-073114","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2737/rmrs-gtr-377-chap9","text":"Publisher Index Page"},{"id":360105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado","otherGeospatial":"Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 35.75\n ],\n [\n -111,\n 35.75\n ],\n [\n -111,\n 37.5\n ],\n [\n -114,\n 37.5\n ],\n [\n -114,\n 35.75\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897be4b0c53ecb2c71f6","contributors":{"authors":[{"text":"Scott, Michael L.","contributorId":204827,"corporation":false,"usgs":false,"family":"Scott","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":753486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Robert H. rhwebb@usgs.gov","contributorId":1573,"corporation":false,"usgs":false,"family":"Webb","given":"Robert H.","email":"rhwebb@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":753487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, R. Roy","contributorId":211262,"corporation":false,"usgs":false,"family":"Johnson","given":"R.","email":"","middleInitial":"Roy","affiliations":[],"preferred":false,"id":753488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Raymond M.","contributorId":211263,"corporation":false,"usgs":false,"family":"Turner","given":"Raymond","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":753489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":753490,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}