During the ongoing (2013–present) eruption of Sinabung volcano, north Sumatra, we have routinely used a variety of satellite remote sensing data to observe and forecast lava dome and lava flow collapse events, to map the resulting pyroclastic deposits, and to estimate effusion rates. In this paper, we focus on the first two years of the current eruption (September 2013–December 2015), and we summarize major events in 2016. We divide the eruption into 5 major phases: 1) phreatomagmatic (July 2013–18 December 2013), 2) first dome growth and collapse (18 December 2013–10 January 2014), 3) lava-flow (10 January 2014–mid-September 2014), 4) second lava dome and collapse (mid-September 2014–July 2015), 5) lava dome collapse and ash explosion phase (August 2015–present). Throughout the eruption, remotely sensed information has been instrumental in assessing the stability of the lava dome and flow and to forecast collapse events that produce pyroclastic density currents (PDCs: block-and-ash flows, co-ignimbrite surges, and blasts). Forecasts based on remote sensing data in combination with seismic, geodetic and gas-monitoring data have also helped inform decisions related to alert levels and evacuations. Relatively unusual aspects of the Sinabung eruption include the transition from dome to flow morphology (phase 2 to phase 3 transition) and the frequent occurrence during phase 3 of collapses from the lava flow-front and flow-margins—collapses that produced extensive pyroclastic density currents. By analogy to the well-known “Merapi type” collapses and pyroclastic deposits, we propose that lava flow-front and flow-margin collapses with associated PDCs be known as “Sinabung type.” Although detailed study of deposits has not been possible due to continuing hazards, our observations suggest that the transition from lava dome to lava flow and the occurrence of flow-front and flow-margin collapses reflect a particular combination of lava viscosity and steepness of slope. Our observations also show clear evidence of at least one slope-parallel high-velocity and dilute PDC (a “blast”) that emanated from a lava-margin collapse site 500 m downslope from the vent. This 1 February 2014 blast downed and singed a forest out to at least 3.9 km from the collapse site and killed 16 people. We also use a combination of field and remotely sensed data to map the distribution of Sinabung deposits. We estimate eruptive volumes and extrusion rates by combining sequential measurements of lava surface and pyroclastic flow areas with thickness estimates derived from simple geometric assumptions, oblique photographs and Digital Elevation Models (DEMs) derived from remotely sensed data. Our estimates of short-term effusion rates vary widely on a daily to weekly basis, from <1 to >20 m3 s−1. In a few cases, periods of increased extrusion precede lava flow-front collapses by a few days to a week, suggesting delays in transmittance of effusion pulses as lava moves from vent to flow front. We find that, as of 1 January 2016, the total area of deposits is 107 m2, and their approximate deposit volume is about 0.3 km3, equivalent to 0.2 km3 Dense Rock Equivalent (DRE). We anticipate that our deposit maps will be valuable in the future as a framework for the study of the magmatic and textural evolution of eruptive products through time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.05.012","usgsCitation":"Pallister, J.S., Wessels, R., Griswold, J.P., McCausland, W.A., Kartadinata, N., Gunawan, H., Budianto, A., and Primulyana, S., 2019, Monitoring, forecasting collapse events, and mapping pyroclastic deposits at Sinabung volcano with satellite imagery: Journal of Volcanology and Geothermal Research, v. 382, p. 149-163, https://doi.org/10.1016/j.jvolgeores.2018.05.012.","productDescription":"15 p.","startPage":"149","endPage":"163","ipdsId":"IP-077545","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467319,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.05.012","text":"Publisher Index Page"},{"id":462593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia","otherGeospatial":"Sinabung volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 97.99743834932508,\n 3.449644799978927\n ],\n [\n 97.99743834932508,\n 2.1401582830417425\n ],\n [\n 99.24416582769311,\n 2.1401582830417425\n ],\n [\n 99.24416582769311,\n 3.449644799978927\n ],\n [\n 97.99743834932508,\n 3.449644799978927\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"382","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pallister, John S. 0000-0002-2041-2147 jpallist@usgs.gov","orcid":"https://orcid.org/0000-0002-2041-2147","contributorId":2024,"corporation":false,"usgs":true,"family":"Pallister","given":"John","email":"jpallist@usgs.gov","middleInitial":"S.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":914964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wessels, Rick 0000-0001-9711-6402 rwessels@usgs.gov","orcid":"https://orcid.org/0000-0001-9711-6402","contributorId":198602,"corporation":false,"usgs":true,"family":"Wessels","given":"Rick","email":"rwessels@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griswold, Julia P. 0000-0001-5597-5030 griswold@usgs.gov","orcid":"https://orcid.org/0000-0001-5597-5030","contributorId":202823,"corporation":false,"usgs":true,"family":"Griswold","given":"Julia","email":"griswold@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCausland, Wendy A. 0000-0002-8683-1440","orcid":"https://orcid.org/0000-0002-8683-1440","contributorId":204380,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","email":"","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kartadinata, Nugraha","contributorId":344903,"corporation":false,"usgs":false,"family":"Kartadinata","given":"Nugraha","email":"","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":914968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gunawan, Hendra","contributorId":344904,"corporation":false,"usgs":false,"family":"Gunawan","given":"Hendra","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":914969,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Budianto, Agus","contributorId":344905,"corporation":false,"usgs":false,"family":"Budianto","given":"Agus","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":914970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Primulyana, Sofyan","contributorId":344906,"corporation":false,"usgs":false,"family":"Primulyana","given":"Sofyan","affiliations":[{"id":37068,"text":"CVGHM","active":true,"usgs":false}],"preferred":false,"id":914971,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205607,"text":"70205607 - 2019 - Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?","interactions":[],"lastModifiedDate":"2019-12-02T15:07:45","indexId":"70205607","displayToPublicDate":"2019-09-30T15:06:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?","docAbstract":"Geologic data are examined to evaluate whether certain geologic characteristics occur in higher abundance or higher magnitude along production geothermal wells relative to non-productive wells. We perform 3D geologic mapping, 3D stress modeling, and fault-slip modeling to estimate fourteen different geologic factors that are hypothesized to control or correlate with well productivity. The geologic factors are; heat, fault-damage zone thickness, distance from active faults, fault intersection/termination density, fault curvature, slip tendency of faults, dilation tendency of faults, dilation resulting from modeled fault slip, normal stress reduction resulting from modeled fault slip, Coulomb shear stress increase resulting from modeled fault slip, the summed thickness of ‘favorable’ lithologies within a borehole, the summed thickness of fault damage zones in favorable lithologies within a borehole, the distance along the borehole to the nearest geologic contact, and the thickness of individual stratigraphic units. These geologic factors are quantified along fifty wells at Brady geothermal system, including twelve production wells and thirty-one non-productive wells. Results indicate that geologic factors such as stress changes associated with faulting, nearness to and thickness of fault zones, distance from geologic contacts, and heat occur in higher magnitude or higher abundance along production wells relative to non-productive wells. These geologic factors may play an important role in controlling the locations and distribution of fluid circulation in geothermal fields.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Siler, D.L., Burns, E.R., and Faulds, J.E., 2019, Can geologic factors be predictive for distinguishing between productive and non-productive geothermal wells?: Geothermal Resources Council Transactions, v. 43, p. 884-901.","productDescription":"8 p.","startPage":"884","endPage":"901","ipdsId":"IP-108708","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":369828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":369827,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034178"}],"volume":"43","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":771830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771831,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulds, James E","contributorId":218147,"corporation":false,"usgs":false,"family":"Faulds","given":"James","email":"","middleInitial":"E","affiliations":[{"id":39739,"text":"Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":771832,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205851,"text":"70205851 - 2019 - A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States","interactions":[],"lastModifiedDate":"2019-10-08T12:35:44","indexId":"70205851","displayToPublicDate":"2019-09-30T12:34:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2419,"text":"Journal of Petroleum Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States","docAbstract":"\"Recovery factor (RF) is one of the most fundamental parameters that define engineering and economical success of any operational phase in oil and gas production. The effectiveness of the operation, e.g. CO2-EOR (enhanced oil recovery with carbon dioxide injection), is usually defined by multiplying the resultant recovery factor by the original oil in place. Moreover, investment decisions for such engineering projects are also performed based on predicted recovery factors. Despite its importance, though, it is not easy to predict recovery factors as they are affected by many factors including the type of the recovery process, reservoir type, fluid properties, reservoir heterogeneity, depth, thickness, to name a few. The usual method of estimating recovery factors is laboratory experiments or numerical modeling, each of which has their own limitations due to data requirements, boundary conditions and scale effects.\nIn this work, a fuzzy inference system approach has been adopted to predict miscible CO2-EOR recovery factors of the major field applications in the United States with the premise that it can be used as a guidance tool for making decisions based on different inputs. The fuzzy system was build using a Mamdani-type fuzzy logic inference engine, and by using reservoir data compiled from different sources as inputs and recovery factors gathered from a literature survey. Due to the limited number of field cases that could be used for this purpose, 24 sets of applications were included in the study. Selected input variables were water saturation after waterflood (Sorw), well spacing, porosity, permeability, depth, net pay thickness, initial pressure, API gravity of oil, hydrocarbon pore volume CO2 injected, and reservoir lithology. The type of membership functions were decided based on the system’s predictive performance. The model showed reasonable predictive capability for the field observations of recovery factor despite the complexity of this parameter. In addition, since the fuzzy solution was multi-dimensional due to multiple inputs, system behavior was used to demonstrate response of miscible CO2-EOR recovery factor to different inputs.\n\"","language":"English","publisher":"Elsevier","doi":"10.1016/j.petrol.2019.106533","usgsCitation":"Karacan, C.O., 2019, A fuzzy logic approach for estimating recovery factors of miscible CO2-EOR projects in the United States: Journal of Petroleum Science and Engineering, v. 184, 106533, https://doi.org/10.1016/j.petrol.2019.106533.","productDescription":"106533","ipdsId":"IP-103343","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":368100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368097,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S0920410519309544"}],"volume":"184","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":772619,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70211355,"text":"70211355 - 2019 - Finding the sweet spot: Shifting climate optima for maple syrup production in North America","interactions":[],"lastModifiedDate":"2020-07-29T13:43:01.131868","indexId":"70211355","displayToPublicDate":"2019-09-30T11:28:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Finding the sweet spot: Shifting climate optima for maple syrup production in North America","docAbstract":"Climate change is affecting the benefits society derives from forests. One such forest ecosystem service is maple syrup, which is primarily derived from Acer saccharum (sugar maple), currently an abundant and widespread tree species in eastern North America. Two climate sensitive components of sap affect syrup production: sugar content and sap flow. The sugar in maple sap derives from carbohydrate stores influenced by prior year growing season conditions. Sap flow is tied to freeze/thaw cycles during early spring. Predicting climate effects on syrup production thus requires integrating observations across scales and biological processes. We observed sap at 6 sugar maple stands spanning sugar maple’s latitudinal range over 2¬–6 years to predict the role of climate variation on sugar content and sap flow. We found that the timing of sap collection advanced by 4.3 days for every 1 °C increase in March mean temperature, sap volume peaked at a January-May mean temperature of 1 °C, and sap sugar content declined by 0.1 °Brix for every 1 °C increase in previous May-October mean temperature. Using these empirical relationships, we projected that the sap collection season midpoint will be 1 month earlier and sap sugar content will decline by 0.7 °Brix across sugar maple’s range by the year 2100 in an RCP 8.5 climate change scenario. The region of maximum sap flow is expected to shift northward by 400km, from near the 43rd parallel to the 48th parallel by 2100. Our findings suggest climate change will have profound effects on syrup yield across most of sugar maple’s range; drastic shifts in the timing of the tapping season accompanied by flat to moderate increases in syrup yield per tap in Canada contrast with declines in syrup yield and higher frequencies of poor syrup production years across most of the U.S. range.","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.05.045","usgsCitation":"Rapp, J.M., Lutz, D.A., Huish, R.H., Dufour, B., Ahmed, S., Morelli, T.L., and Stinson, K.A., 2019, Finding the sweet spot: Shifting climate optima for maple syrup production in North America: Forest Ecology and Management, v. 448, p. 187-197, https://doi.org/10.1016/j.foreco.2019.05.045.","productDescription":"11 p.","startPage":"187","endPage":"197","ipdsId":"IP-104958","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":459695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.05.045","text":"Publisher Index Page"},{"id":376779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"448","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rapp, Joshua M.","contributorId":200307,"corporation":false,"usgs":false,"family":"Rapp","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lutz, David A.","contributorId":232418,"corporation":false,"usgs":false,"family":"Lutz","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huish, Ryan H.","contributorId":232414,"corporation":false,"usgs":false,"family":"Huish","given":"Ryan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":794109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dufour, Boris","contributorId":232415,"corporation":false,"usgs":false,"family":"Dufour","given":"Boris","email":"","affiliations":[],"preferred":false,"id":794110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahmed, Selena","contributorId":232416,"corporation":false,"usgs":false,"family":"Ahmed","given":"Selena","email":"","affiliations":[],"preferred":false,"id":794111,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":794003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stinson, Kristina A.","contributorId":232417,"corporation":false,"usgs":false,"family":"Stinson","given":"Kristina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794112,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227145,"text":"70227145 - 2019 - Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","interactions":[],"lastModifiedDate":"2022-01-03T16:27:23.029256","indexId":"70227145","displayToPublicDate":"2019-09-27T09:10:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","title":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","docAbstract":"Golden alga Prymnesium parvum Carter is a euryhaline, ichthyotoxic haptophyte (Chromista). Because of its presumed coastal/marine origin where SO42- levels are high, the relatively high SO42- concentration of its brackish inland habitats, and the sensitivity of marine chromists to sulfur deficiency, this study examined whether golden alga growth is sensitive to SO42- concentration. Fluoride is a ubiquitous ion that has been reported at higher levels in golden alga habitat; thus, the influence of F- on growth also was examined. In low-salinity (5 psu) artificial seawater medium, overall growth was SO42—dependent up to 1000 mg l-1 using MgSO4 or Na2SO4 as source; the influence on growth rate, however, was more evident with MgSO4. Transfer from 5 to 30 psu inhibited growth when salinity was raised with NaCl but in the presence of seawater levels of SO42-, these effects were fully reversed with MgSO4 as source and only partially reversed with Na2SO4. Growth inhibition was not observed after acute transfer to 30 psu in a commercial sea salt mixture. In 5-psu medium, F- inhibited growth at all concentrations tested. These observations support the hypothesis that spatial differences in SO42- –but not F-–concentration help drive the inland distribution and growth of golden alga and also provide physiological relevance to reports of relatively high Mg2+ concentrations in golden alga habitat. At high salinity, however, the ability of sulfate to maintain growth under osmotic stress was weak and overshadowed by the importance of Mg2+. A mechanistic understanding of growth responses of golden alga to SO42-, Mg2+ and other ions at environmentally relevant levels and under different salinity scenarios will be necessary to clarify their ecophysiological and evolutionary relevance.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0223266","usgsCitation":"Rashel, R.B., and Patino, R., 2019, Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations: PLoS ONE, v. 14, no. 9, p. 1-19, https://doi.org/10.1371/journal.pone.0223266.","productDescription":"e0223266, 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-107294","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0223266","text":"Publisher Index Page"},{"id":393741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Rashel, Rakib B.","contributorId":270695,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"B.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":829780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":829779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215281,"text":"70215281 - 2019 - Survival and movements of head‐started Mojave desert tortoises","interactions":[],"lastModifiedDate":"2020-10-14T23:12:57.741594","indexId":"70215281","displayToPublicDate":"2019-09-26T18:08:00","publicationYear":"2019","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":"Survival and movements of head‐started Mojave desert tortoises","docAbstract":"Head‐starting is a conservation strategy in which young animals are protected in captivity temporarily before their release into the wild at a larger size, when their survival is presumably increased. The Mojave desert tortoise (Gopherus agassizii) is in decline, and head‐starting has been identified as one of several conservation measures to assist in recovery. To evaluate the efficacy of indoor head‐starting, we released and radio‐tracked 68 juvenile tortoises from a 2015 cohort in the Mojave National Preserve, California, USA. We released 20 tortoises at hatching (control) in September 2015, and reared 28 indoors and 20 outdoors in predator‐proof enclosures for 7 months before releasing them in April 2016. We monitored tortoises at least weekly after release until 27 October 2016, and documented survivorship, movement, and surface activity. We estimated survivorship by treatment and evaluated effects of treatment, proximity to a raven (Corvus corax) nest (predator) coincidentally established after release, distance moved between monitoring events, surface activity, and release size on individual fate in a generalized linear model. Although indoor head‐start tortoises reached the size of 5–6‐year‐old wild tortoises by release at 7 months of age, survival did not differ significantly among the 3 treatment groups. Combined annual survival was 0.44 (95% CI = 0.34–0.58). Tortoises that were closer to an active raven nest were significantly more likely to die, as were those seen more often outside their burrows and active aboveground. Predicted estimates for short‐term probability of survival approached 1.0 as distance from a raven nest exceeded approximately 1.6 km. Rearing treatment, movement distance, and body size were not significant predictors of fate over the 1‐year monitoring period. Head‐started tortoises released ≥1.6 km from areas of raven activity will likely have higher short‐term survival. Population recovery through head‐starting alone is unlikely to be successful if systemic ecosystem‐level issues, such as habitat degradation and conditions that promote human‐subsidized predators, are not ameliorated. © 2019 The Wildlife Society.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21758","usgsCitation":"Daly, J., Buhlmann, K., Todd, B., Moore, C.T., Peaden, J., and Tuberville, T., 2019, Survival and movements of head‐started Mojave desert tortoises: Journal of Wildlife Management, v. 83, no. 8, p. 1700-1710, https://doi.org/10.1002/jwmg.21758.","productDescription":"11 p.","startPage":"1700","endPage":"1710","ipdsId":"IP-104712","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.51599121093749,\n 34.77771580360469\n ],\n [\n -114.686279296875,\n 34.93548199355901\n ],\n [\n -114.664306640625,\n 35.02999636902566\n ],\n [\n -115.23559570312499,\n 35.483038134069574\n ],\n [\n -116.3232421875,\n 35.38904996691167\n ],\n [\n -116.4935302734375,\n 34.94899072578227\n ],\n [\n -116.3067626953125,\n 34.70097741472011\n ],\n [\n -115.2740478515625,\n 34.54728700119802\n ],\n [\n -114.75219726562499,\n 34.40237742424137\n ],\n [\n -114.6368408203125,\n 34.51560953848204\n ],\n [\n -114.43359375,\n 34.465806327688526\n ],\n [\n -114.51599121093749,\n 34.77771580360469\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Daly, J. A.","contributorId":243070,"corporation":false,"usgs":false,"family":"Daly","given":"J. A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K. A.","contributorId":239456,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K. A.","affiliations":[{"id":47860,"text":"University of Georgia Savannah River Ecology Laboratory, Aiken, SC, USA","active":true,"usgs":false}],"preferred":false,"id":801475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, B. D.","contributorId":243071,"corporation":false,"usgs":false,"family":"Todd","given":"B. D.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. M.","contributorId":243072,"corporation":false,"usgs":false,"family":"Peaden","given":"J. M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuberville, T. D.","contributorId":243073,"corporation":false,"usgs":false,"family":"Tuberville","given":"T. D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205704,"text":"70205704 - 2019 - The importance of turtle populations to wetland restoration in the upper Mississippi embayment of the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2019-12-03T09:52:11","indexId":"70205704","displayToPublicDate":"2019-09-26T12:41:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The importance of turtle populations to wetland restoration in the upper Mississippi embayment of the Mississippi Alluvial Valley","docAbstract":"The Upper Mississippi Embayment (UME) ecoregion covers approximately 141,895 km2 and historically supported 9,712,455 ha of bottomland deciduous forests, swamps, bayous, and rivers. Only about 500 ha (< 0.01%) of pre-settlement bottomland hardwood forest habitat in the Mississippi Alluvial Valley (MAV) in the UME remained by the 1940s because the timber was clearcut and the wetlands drained for agriculture. By 1983 only a few scattered cypress-tupelo swamps remained. We studied the freshwater turtle community in Allred Lake, Missouri, a rare remnant of this ecosystem and compared these results to those from two other study sites in the MAV, Big Oak Tree State Park (BOTSP), Missouri, and Coldwater River National Wildlife Refuge (CRNWR), Mississippi. Species richness included six species commonly found throughout the MAV. One species (Red-eared Slider, Trachemys scripta elegans) dominated density and biomass in all three assemblages. The occurrence of the six species we studied in man-made restored wetlands such as those in BOTSP and CRNWR indicate these turtles would adapt to restored wetlands in the MAV in southeastern Missouri and elsewhere in the ecosystem. We provide information on habitat features that could be included in restoration design and construction that would benefit turtles. Given the ongoing worldwide decline of turtles, consideration of turtle ecology and behavior in wetland restoration projects in the MAV may be warranted.","language":"English","publisher":"Springer","doi":"10.1007/s11273-019-09686-z","usgsCitation":"Nickerson, M.A., Mitchell, J.C., and Glorioso, B., 2019, The importance of turtle populations to wetland restoration in the upper Mississippi embayment of the Mississippi Alluvial Valley: Wetlands Ecology and Management, v. 27, no. 5-6, p. 683-692, https://doi.org/10.1007/s11273-019-09686-z.","productDescription":"10 p.","startPage":"683","endPage":"692","ipdsId":"IP-104693","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":367928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Allred Lake, Big Oak Tree State Park, Coldwater River National Wildlife Refuge ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.571044921875,\n 31.015278981711266\n ],\n [\n -90.439453125,\n 32.10118973232094\n ],\n [\n -90,\n 34.96699890670367\n ],\n [\n -89.000244140625,\n 36.677230602346214\n ],\n [\n -88.92333984375,\n 36.98500309285596\n ],\n [\n -89.351806640625,\n 37.17782559332976\n ],\n [\n -91.60400390625,\n 35.7286770448517\n ],\n [\n -91.42822265625,\n 35.505400093441324\n ],\n [\n -92.4169921875,\n 34.867904962568716\n ],\n [\n -92.3291015625,\n 34.50655662164561\n ],\n [\n -92.1533203125,\n 34.15272698011818\n ],\n [\n -91.658935546875,\n 33.669496972795535\n ],\n [\n -91.702880859375,\n 33.054716488042736\n ],\n [\n -91.900634765625,\n 32.96258644191747\n ],\n [\n -92.04345703125,\n 33.04550781490999\n ],\n [\n -92.274169921875,\n 32.97180377635759\n ],\n [\n -92.1533203125,\n 32.69486597787505\n ],\n [\n -92.252197265625,\n 32.32427558887655\n ],\n [\n -92.16430664062499,\n 32.05464469054932\n ],\n [\n -91.92260742187499,\n 31.83089906339438\n ],\n [\n -92.35107421874999,\n 31.456782472114313\n ],\n [\n -92.691650390625,\n 31.606609719226917\n ],\n [\n -92.83447265624999,\n 31.438037173124464\n ],\n [\n -91.12060546875,\n 29.036960648558267\n ],\n [\n -90.47241210937499,\n 29.248063243796576\n ],\n [\n -90.318603515625,\n 29.0273547804184\n ],\n [\n -89.7967529296875,\n 29.267232865200878\n ],\n [\n -89.3463134765625,\n 28.835049972635176\n ],\n [\n -88.9068603515625,\n 29.094577077511826\n ],\n [\n -88.9453125,\n 29.334298230315675\n ],\n [\n -89.4891357421875,\n 29.54000879252545\n ],\n [\n -89.12109375,\n 29.90732937685153\n ],\n [\n -89.5111083984375,\n 30.107117887092357\n ],\n [\n -90.450439453125,\n 29.90256760730233\n ],\n [\n -91.571044921875,\n 31.015278981711266\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5-6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Nickerson, Max A","contributorId":219361,"corporation":false,"usgs":false,"family":"Nickerson","given":"Max","email":"","middleInitial":"A","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":772129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Joseph C.","contributorId":205168,"corporation":false,"usgs":false,"family":"Mitchell","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":772130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206452,"text":"70206452 - 2019 - Exploring silica stoichiometry on a large floodplain riverscape","interactions":[],"lastModifiedDate":"2019-11-05T08:12:46","indexId":"70206452","displayToPublicDate":"2019-09-25T08:08:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Exploring silica stoichiometry on a large floodplain riverscape","docAbstract":"Freshwater ecosystems are critical zones of nutrient and carbon (C) processing along the land-sea continuum. Relative to our understanding of C, nitrogen (N), and phosphorus (P) cycling within the freshwater systems, the controls on silicon (Si) cycling and export are less understood. Understanding Si biogeochemistry and its coupled biogeochemical processing with N and P has direct implications for both freshwater and coastal ecosystems, as the amount of Si in relation to N and P exported by rivers to coastal receiving waters can determine phytoplankton species assemblages, which in turn affects C cycling and food web structure. Here we examine the relationships between dissolved Si (DSi), total nitrogen (TN), and total phosphorus (TP) concentrations, and how these relationships relate to basin land cover, lithology, and river hydrogeomorphology (i.e., among different ‘aquatic areas’) in the Upper Mississippi River System (UMRS) using two datasets (one from the tributaries and one from the mainstem) that span a nine-year period (2010-2018) representing >10,000 unique samples. We found significant declines in DSi concentrations, as well as Si:TP and Si:TN ratios along the north-south gradient of the mainstem UMRS across all six aquatic area types. This signal was driven partially by a corresponding decline in tributary DSi inputs along this latitudinal gradient. Contrary to findings from other regions of North America, basin land cover was not an important predictor of tributary DSi concentrations, especially compared to lithology. However, Si:TN and Si:TP ratios appear to be strongly controlled by basin land cover, likely due to excess N and P loading from row-crop agriculture. Si, and its ratio with N and P (i.e., Si stoichiometry), was similar across most aquatic area types, including run-of-river impoundments and the main channel, suggesting similar processes affecting Si, N, and P concentrations in these reaches. However, backwater lakes had lower DSi and TN concentrations and compared to the other aquatic area types, highlighting the importance of water residence time and nutrient uptake in controlling Si stoichiometry in inland waters. Together, our results show rivers are not simple pipes for Si, but rather the complexity in watershed characteristics, hydrology, and biological uptake results in dynamic Si stoichiometry along the river continuum.","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2019.00346","usgsCitation":"Carey, J.C., Jankowski, K.J., Julian, P., Sethna, L., Thomas, P., and Rohweder, J.J., 2019, Exploring silica stoichiometry on a large floodplain riverscape: Frontiers in Ecology and Evolution, v. 7, 346, 18 p., https://doi.org/10.3389/fevo.2019.00346.","productDescription":"346, 18 p.","ipdsId":"IP-111054","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":459742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00346","text":"Publisher Index Page"},{"id":368949,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Joanna C.","contributorId":177397,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":774649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian, Paul 0000-0002-7617-1354","orcid":"https://orcid.org/0000-0002-7617-1354","contributorId":220292,"corporation":false,"usgs":false,"family":"Julian","given":"Paul","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":774651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sethna, Lienne","contributorId":220293,"corporation":false,"usgs":false,"family":"Sethna","given":"Lienne","affiliations":[{"id":40154,"text":"Indiana University Bloomington","active":true,"usgs":false}],"preferred":false,"id":774652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Patrick 0000-0002-7259-5766","orcid":"https://orcid.org/0000-0002-7259-5766","contributorId":220294,"corporation":false,"usgs":false,"family":"Thomas","given":"Patrick","email":"","affiliations":[{"id":40155,"text":"University of Oldenburg","active":true,"usgs":false}],"preferred":false,"id":774653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":774654,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70208186,"text":"70208186 - 2019 - Variable impacts of contemporary versus legacy agricultural phosphorus on US river water quality","interactions":[],"lastModifiedDate":"2020-01-29T15:02:54","indexId":"70208186","displayToPublicDate":"2019-09-23T14:58:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Variable impacts of contemporary versus legacy agricultural phosphorus on US river water quality","docAbstract":"Phosphorus (P) fertilizer has contributed to the eutrophication of freshwater ecosystems. Watershed-based conservation programs aiming to reduce external P loading to surface waters have not resulted in significant water-quality improvements. One factor that can help explain the lack of water-quality response is remobilization of accumulated legacy (historical) P within the terrestrial-aquatic continuum, which can obscure the beneficial impacts of current conservation efforts. We examined how contemporary river P trends (between 1992 and 2012) responded to estimated changes in contemporary agricultural P balances [(fertilizer + manure inputs)—crop uptake and harvest removal] for 143 watersheds in the conterminous United States, while also developing a proxy estimate of legacy P contribution, which refers to anthropogenic P inputs before 1992. We concluded that legacy sources contributed to river export in 49 watersheds because mean contemporary river P export exceeded mean contemporary agricultural P balances. For the other 94 watersheds, agricultural P balances exceeded river P export, and our proxy estimate of legacy P was inconclusive. If legacy contributions occurred in these locations, they were likely small and dwarfed by contemporary P sources. Our continental-scale P mass balance results indicated that improved incentives and strategies are needed to promote the adoption of nutrient-conserving practices and reduce widespread contemporary P surpluses. However, a P surplus reduction is only 1 component of an effective nutrient plan as we found agricultural balances decreased in 91 watersheds with no consistent water-quality improvements, and balances increased in 52 watersheds with no consistent water-quality degradation.
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sstackpoole@usgs.gov","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":3784,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"sstackpoole@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":780866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":780867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":780868,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215335,"text":"70215335 - 2019 - Captive-rearing duration may be more important than environmental enrichment for enhancing turtle head-starting success","interactions":[],"lastModifiedDate":"2020-10-15T19:57:44.48426","indexId":"70215335","displayToPublicDate":"2019-09-22T14:55:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Captive-rearing duration may be more important than environmental enrichment for enhancing turtle head-starting success","docAbstract":"Raising captive animals past critical mortality stages for eventual release (head-starting) is a common conservation tactic. Counterintuitively, post-release survival can be low. Post-release behavior affecting survival could be influenced by captive-rearing duration and housing conditions. Practitioners have adopted environmental enrichment to promote natural behaviors during head-starting such as raising animals in naturalistic enclosures. Enrichment might be especially beneficial for animals held in captivity long-term to prevent degradation of adaptive behaviors. Using 32 captive-born turtles (Terrapene carolina), half of which were raised in enriched enclosures, we employed a factorial design to explore how enrichment and rearing duration affected post-release growth, behavior, and survival. Six turtles in each treatment (enriched or unenriched) were head-started for nine months (cohort one). Ten turtles in each treatment were head-started for 21 months (cohort two). At the conclusion of captive-rearing, turtles in cohort two were overall larger than cohort one, but unenriched turtles were generally larger than enriched turtles within each cohort. Once released, enriched turtles grew faster than unenriched turtles in cohort two, but we otherwise found minimal evidence suggesting enrichment affected post-release survival or behavior. Cohort two dispersed farther and had generally higher active season survival than cohort one (0.50 vs. 0.33). Body mass was positively associated with daily survival probability. Our findings suggest attaining larger body sizes from longer captive-rearing periods to enable greater movement and alleviate susceptibility to predation (the primary cause of death) could be more effective than environmental enrichment alone in chelonian head-starting programs where substantial predation could hinder success.
Studies of aquatic–terrestrial ecosystem linkages explore the mechanisms by which components of one ecosystem, such as the aquatic insect community in a stream, directly affect components of an adjacent ecosystem, such as the density and diversity of riparian predators. On a human level, research into these linkages allows freshwater ecologists to form novel collaborations with stakeholders and other interest groups by emphasizing shared interests. To highlight this point, we use 3 case studies as examples of how aquatic–terrestrial linkages research can be leveraged to achieve multifaceted goals of improving riparian and freshwater management, engaging stakeholders, and advancing ecological understanding. In the 1st case study, we describe a project in which consideration of the complex life histories of aquatic insects could have led to more effective outcomes for riparian bird restoration. The 2nd case study provides an example of how studying contaminant transport through ecological subsidies has been incorporated into programs for contaminant management. In the 3rd case, we use a study of terrestrial vertebrates feeding on adult aquatic insects to show how research into aquatic–terrestrial subsidies connects freshwater ecologists, youth groups, and commercial river guides. By focusing on how in-stream processes propagate onto land through ecological subsidies, we argue that freshwater ecologists also gain a platform for communicating their science to riparian managers and the public, which can improve the potential for stream and riparian co-management and restoration success.
Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO2eq MWh−1, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO2eq MWh−1) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.
Exposure of nontarget wildlife to anticoagulant rodenticides (AR) is a global conservation concern typically centered around urban or agricultural areas. Recently, however, the illegal use of ARs in remote forests of California, USA, has exposed sensitive predators, including the federally threatened northern spotted owl (Strix occidentalis caurina). We used congeneric barred owls (S. varia) as a sentinel species to investigate whether ARs pose a threat to spotted owls and other old-forest wildlife in northern regions of the Pacific Northwest. We analyzed the liver tissue from 40 barred owls collected in Oregon and Washington and confirmed exposure to ≥1 AR compounds in 48% of the owls examined. Brodifacoum, an extremely toxic second-generation AR, was the most common compound detected (89% of positive cases), followed by bromadiolone (11%), difethialone (11%), and warfarin (5%). Brodifacoum was also detected in one barred owl and one spotted owl opportunistically found dead (liver concentrations were 0.091 and 0.049 µg/g, respectively). We found no evidence that exposure varied with proximity to developed and agricultural areas, or among different study areas, age-classes, and sexes. Rather, exposure was ubiquitous, and the rates we observed in our study (38 – 64%) were similar to or greater than that reported previously for barred owls in California (40%). Together these studies indicate widespread contamination in forested landscapes used by spotted owls and other wildlife of conservation concern. Owls collected in older forests may have been exposed via illegal use of ARs, highlighting a mounting challenge for land managers and policy makers.
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gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","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":770995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":770996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gabriel, Mourad W.","contributorId":202542,"corporation":false,"usgs":false,"family":"Gabriel","given":"Mourad","email":"","middleInitial":"W.","affiliations":[{"id":27598,"text":"Integral Ecology Research Center","active":true,"usgs":false}],"preferred":false,"id":770997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wengert, Greta","contributorId":219013,"corporation":false,"usgs":false,"family":"Wengert","given":"Greta","email":"","affiliations":[{"id":27598,"text":"Integral Ecology Research Center","active":true,"usgs":false}],"preferred":false,"id":770998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Simon, David C. 0000-0003-2621-2311 dsimon@usgs.gov","orcid":"https://orcid.org/0000-0003-2621-2311","contributorId":167540,"corporation":false,"usgs":true,"family":"Simon","given":"David","email":"dsimon@usgs.gov","middleInitial":"C.","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":false,"id":770999,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205435,"text":"70205435 - 2019 - Reporting the limits of detection and quantification for environmental DNA assays","interactions":[],"lastModifiedDate":"2020-08-04T13:44:26.547842","indexId":"70205435","displayToPublicDate":"2019-09-16T17:33:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Reporting the limits of detection and quantification for environmental DNA assays","docAbstract":"Environmental DNA (eDNA) analysis is increasingly being used to detect the presence and relative abundance of rare species, especially invasive or imperiled aquatic species. The rapid progress in the eDNA field has resulted in numerous studies impacting conservation and management actions. However, standardization of eDNA methods and reporting across the field is yet to be fully established, with one area being the calculation and interpretation of assay limit of detection (LOD) and limit of quantification (LOQ).
Here, we propose establishing consistent methods for determining and reporting of LOD and LOQ for single‐species quantitative PCR (qPCR) eDNA studies.
We utilize datasets from multiple cooperating laboratories to demonstrate both a discrete threshold approach and a curve‐fitting modeling approach for determining LODs and LOQs for eDNA qPCR assays. We also provide details of an R script developed and applied for the modeling method.
Ultimately, standardization of how LOD and LOQ are determined, interpreted, and reported for eDNA assays will allow for more informed interpretation of assay results, more meaningful interlaboratory comparisons of experiments, and enhanced capacity for assessing the relative technical quality and performance of different eDNA qPCR assays.
We estimated U.S. and Mexican citizens’ willingness to pay (WTP) for protecting habitat for a transborder migratory species, the Mexican free-tailed bat (Tadarida brasiliensis mexicana), using the contingent valuation method. Few contingent valuation surveys have evaluated whether households in one country would pay to protect habitat in another country. This study addresses that gap. In our study, Mexican respondents were asked about their WTP for conservation of Mexican free-tailed bat habitat in Mexico and in the United States. Similarly, U.S. respondents were asked about their WTP for conservation in the United States and in Mexico. U.S. households would pay $30 annually to protect habitat in the United States and $24 annually to protect habitat in Mexico. Mexican households would pay $8 annually to protect habitat in Mexico and $5 annually to protect habitat in the United States. In both countries, these WTP amounts rose significantly for increasing the size of the bat population rather than simply stabilizing the current bat population. The ratio of Mexican household WTP relative to U.S. household WTP is nearly identical to that of Mexican household income relative to U.S. household income. This suggests that the perceived economic benefits received from the bats is similar in Mexico and the United States, and that scaling WTP by relative income in international benefit transfer may be plausible.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-018-1046-1","usgsCitation":"Haefele, M., Loomis, J.B., Merideth, R.W., Lien, A.M., Semmens, D.J., Dubovsky, J., Wiederholt, R., Thogmartin, W.E., Huang, T., McCracken, G., Lopez-Hoffman, L., Medellin, R., and Diffendorfer, J., 2019, Willingness to pay for conservation of transborder migratory species: A case study of the Mexican free-tailed bat in the United States and Mexico: Environmental Management, v. 62, no. 2, p. 229-240, https://doi.org/10.1007/s00267-018-1046-1.","productDescription":"12 p.","startPage":"229","endPage":"240","numberOfPages":"12","ipdsId":"IP-095597","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":367349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, 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Rodrigo","contributorId":201608,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","affiliations":[{"id":36218,"text":"UNAM Mexico City","active":true,"usgs":false}],"preferred":false,"id":770638,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":770639,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70205261,"text":"70205261 - 2019 - Drought-mediated extinction of an arid-land amphibian: Insights from a spatially explicit dynamic occupancy model","interactions":[],"lastModifiedDate":"2019-09-13T09:52:19","indexId":"70205261","displayToPublicDate":"2019-09-11T11:49:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Drought-mediated extinction of an arid-land amphibian: Insights from a spatially explicit dynamic occupancy model","docAbstract":"Understanding how natural and anthropogenic processes affect population dynamics of species with patchy distributions is critical to predicting their responses to environmental changes. Despite considerable evidence that demographic rates and dispersal patterns vary temporally in response to an array of biotic and abiotic processes, few applications of metapopulation theory have sought to explore factors that explain spatio-temporal variation in extinction or colonization rates. To facilitate exploring these factors, we extended a spatially explicit model of metapopulation dynamics to create a framework that requires only binary presence-absence data, makes few assumptions about the dispersal process, and accounts for imperfect detection. We apply this framework to 22 years of biannual survey data for lowland leopard frogs, Lithobates yavapaiensis, an amphibian that inhabits arid stream systems in the southwestern U.S. and northern Mexico. Our results highlight the importance of accounting for factors that govern temporal variation in transition probabilities, as both extinction and colonization rates varied with hydrologic conditions. Specifically, local extinctions were more frequent during drought periods, particularly at sites without reliable surface water. Colonization rates increased when larval and dispersal periods were wetter than normal, which increased the probability that potential emigrants metamorphosed and reached neighboring sites. Extirpation of frogs from one watershed during a period of severe drought demonstrated the influence of site-level features, as frogs persisted only in areas where most sites held water consistently and where the amount of sediment deposited from high-elevation wildfires was low. Application of our model provided novel insights into how climate-related processes affected the distribution and population dynamics of an arid-land amphibian. The approach we describe has application to a wide array of species that inhabit patchy environments, can improve our understanding of factors that govern metapopulation dynamics, and can inform strategies for conservation of imperiled species.","language":"English","publisher":"Wiley","doi":"10.1002/eap.1859","usgsCitation":"Zylstra, E.R., Swann, D.E., Hossack, B.R., and Steidl, R., 2019, Drought-mediated extinction of an arid-land amphibian: Insights from a spatially explicit dynamic occupancy model: Ecological Applications, v. 29, no. 3, e01859, 15 p., https://doi.org/10.1002/eap.1859.","productDescription":"e01859, 15 p.","onlineOnly":"Y","ipdsId":"IP-095315","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":459858,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/632180","text":"External Repository"},{"id":367345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Rincon Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.70648193359375,\n 32.66018807572586\n ],\n [\n -110.93170166015625,\n 32.465743313283596\n ],\n [\n -110.9564208984375,\n 32.35676318267808\n ],\n [\n -110.66253662109375,\n 32.2546200600072\n ],\n [\n -110.753173828125,\n 32.22674287041067\n ],\n [\n -110.73944091796875,\n 32.15933769278929\n ],\n [\n -110.60211181640624,\n 32.05464469054932\n ],\n [\n -110.3961181640625,\n 32.056972505418514\n ],\n [\n -110.390625,\n 32.15236189465577\n ],\n [\n -110.43731689453125,\n 32.25926542645933\n ],\n [\n -110.58013916015625,\n 32.400834826722196\n ],\n [\n -110.68450927734375,\n 32.491230287947594\n ],\n [\n -110.70648193359375,\n 32.66018807572586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-02-27","publicationStatus":"PW","contributors":{"editors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":770597,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Zylstra, Erin R 0000-0002-2536-0403","orcid":"https://orcid.org/0000-0002-2536-0403","contributorId":218873,"corporation":false,"usgs":false,"family":"Zylstra","given":"Erin","email":"","middleInitial":"R","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":770594,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swann, Don E.","contributorId":218874,"corporation":false,"usgs":false,"family":"Swann","given":"Don","email":"","middleInitial":"E.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":770595,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":770593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steidl, Robert J","contributorId":218875,"corporation":false,"usgs":false,"family":"Steidl","given":"Robert J","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":770596,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70205245,"text":"70205245 - 2019 - Laboratory assessment of alternative stream velocity measurement methods","interactions":[],"lastModifiedDate":"2019-09-10T09:55:38","indexId":"70205245","displayToPublicDate":"2019-09-06T09:54:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory assessment of alternative stream velocity measurement methods","docAbstract":"Understanding streamflow in montane watersheds on regional scales is often incomplete due to a lack of data for small-order streams that link precipitation and snowmelt processes to main stem discharge. This data deficiency is attributed to the prohibitive cost of conventional streamflow measurement methods and the remote location of many small streams. Expedient and low-cost streamflow measurement methods used by resource professionals or citizen scientists can provide scientifically useful solutions to this data deficiency. To this end, four current velocity measurement methods were evaluated in a laboratory flume: the surface float, rising body, velocity head rod, and rising air bubble methods. The methods were tested under a range of stream velocities, cross-sectional depths, and streambed substrates. The resulting measurements provide estimates of precision and bias of each method, as well as method-specific insight and calibration formulas. The velocity head rod and surface float methods were the easiest methods to use, providing greater precision at large (>=0.6 m/s) and small (<0.6 m/s) velocities, respectively. However, the reliance on a velocity ratio for each of these methods can generate inaccuracy in their results. The rising body method is more challenging to execute and of lower precision than the former two methods but provides low bias measurements. The rising air bubble method has a complex instrument assembly that is considered impractical for potential field user groups.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0222263","usgsCitation":"Hundt, S., and Blasch, K.W., 2019, Laboratory assessment of alternative stream velocity measurement methods: PLoS ONE, v. 14, no. 9, e0222263, https://doi.org/10.1371/journal.pone.0222263.","productDescription":"e0222263","ipdsId":"IP-081975","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":459896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0222263","text":"Publisher Index Page"},{"id":367310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367297,"type":{"id":15,"text":"Index Page"},"url":"https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0222263"}],"volume":"14","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hundt, Stephen A. 0000-0002-6484-0637","orcid":"https://orcid.org/0000-0002-6484-0637","contributorId":204678,"corporation":false,"usgs":true,"family":"Hundt","given":"Stephen","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":770500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70205552,"text":"70205552 - 2019 - Restoring a forest icon: Could returning the American chestnut remodel our wildlife landscape?","interactions":[],"lastModifiedDate":"2019-09-25T10:14:02","indexId":"70205552","displayToPublicDate":"2019-08-31T09:58:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3587,"text":"The Wildlife Professional","active":true,"publicationSubtype":{"id":10}},"title":"Restoring a forest icon: Could returning the American chestnut remodel our wildlife landscape?","docAbstract":"Mother Nature was not making it easy. It was February 18, 2009, and winds were gusting, sleet was falling, and temperatures were hovering around 40° F. Our crew of 9 which consisted of personnel from the USDA Forest Service Southern Research Station, the Cherokee National Forest, and The University of Tennessee’s Tree Improvement Program, was attempting to establish the first test planting of American chestnuts (Castanea dentata) bred for resistance to an exotic fungal pathogen, the chestnut blight (Cryphonectria parasitica). With each hole dug and seedlings tamped into the ground, our hope was that we were one step closer to restoring an important wildlife food to eastern hardwood forests.
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The U.S. Geological Survey (USGS) developed the National Land Cover Database (NLCD) to provide consistent land cover and change products for the Nation since 2001. Percent impervious surface area (ISA), one of the products in NLCD as a continuous field and estimated with Landsat imagery, represents the fraction of human-made impervious area in a 30 m resolution grid. ISA is used to map urban land cover types and extents for the United States. However, it is still a challenge to quantify highly heterogeneous features in many urban areas using remotely sensed data with spatial and spectral resolutions similar to Landsat and to determine the impacts of remotely sensed data characteristics on ISA mapping.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsase.2019.100246","usgsCitation":"Xian, G.Z., Shi, H., Dewitz, J., and Wu, Z., 2019, Performances of WorldView-3, Sentinel-2, and Landsat-8 data in mapping impervious surface: Remote Sensing Applications: Society and Environment, v. 15, 100246, 11 p., https://doi.org/10.1016/j.rsase.2019.100246.","productDescription":"100246, 11 p.","ipdsId":"IP-102241","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsase.2019.100246","text":"Publisher Index Page"},{"id":377728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Texas","city":"San Francisco, Dallas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.9150390625,\n 37.47485808497102\n ],\n [\n -121.904296875,\n 37.47485808497102\n ],\n [\n -121.904296875,\n 38.13455657705411\n ],\n [\n -122.9150390625,\n 38.13455657705411\n ],\n [\n -122.9150390625,\n 37.47485808497102\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.94335937499999,\n 32.58384932565662\n ],\n [\n -96.5478515625,\n 32.58384932565662\n ],\n [\n -96.5478515625,\n 32.95336814579932\n ],\n [\n -96.94335937499999,\n 32.95336814579932\n ],\n [\n -96.94335937499999,\n 32.58384932565662\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":796916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Hua 0000-0001-7013-1565 hshi@usgs.gov","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":646,"corporation":false,"usgs":true,"family":"Shi","given":"Hua","email":"hshi@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":796917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewitz, Jon 0000-0002-0458-212X","orcid":"https://orcid.org/0000-0002-0458-212X","contributorId":215192,"corporation":false,"usgs":true,"family":"Dewitz","given":"Jon","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":796918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":796919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}