{"pageNumber":"657","pageRowStart":"16400","pageSize":"25","recordCount":184617,"records":[{"id":70208875,"text":"70208875 - 2020 - Demography of snowshoe hare population cycles","interactions":[],"lastModifiedDate":"2020-03-04T16:16:48","indexId":"70208875","displayToPublicDate":"2020-01-10T16:01:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Demography of snowshoe hare population cycles","docAbstract":"Cyclic fluctuations in abundance exhibited by some mammalian populations in northern habitats (“population cycles”) are key processes in the functioning of many boreal and tundra ecosystems. Understanding population cycles, essentially demographic processes, necessitates discerning the demographic mechanisms that underlie numerical changes. Using mark–recapture data spanning five population cycles (1977–2017), we examined demographic mechanisms underlying the 9–10‐yr cycles exhibited by snowshoe hares (Lepus americanus Erxleben) in southwestern Yukon, Canada. Snowshoe hare populations always decreased during winter and increased during summer; the balance between winter declines and summer increases characterized the four, multiyear cyclic phases: increase, peak, decline, and low. Little or no recruitment occurred during winter, but summer recruitment varied markedly across the four phases with the highest and lowest recruitment observed during the increase and decline phase, respectively. Population crashes during the decline were triggered by a substantial decline in winter survival and by a lack of subsequent summer recruitment. In contrast, initiation of the increase phase was triggered by a twofold increase in summer recruitment abetted secondarily by improvements in subsequent winter survival. We show that differences in peak density across cycles are explained by differences in overall population growth rate, amount of time available for population growth to occur, and starting population density. Demographic mechanisms underlying snowshoe hare population cycles were consistent across cycles in our study site but we do not yet know if similar demographic processes underlie population cycles in other northern snowshoe hare populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ecy.2969","usgsCitation":"Oli, M.K., Krebs, C., Kenney, A.J., Boonstra, R., Boutin, S., and Hines, J.E., 2020, Demography of snowshoe hare population cycles: Ecology, v. 101, no. 3, 02969, 15 p., https://doi.org/10.1002/ecy.2969.","productDescription":"02969, 15 p.","ipdsId":"IP-106392","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501028,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1807/144262","text":"External Repository"},{"id":372927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","otherGeospatial":"Kluane Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.526123046875,\n 60.267066292456654\n ],\n [\n -136.065673828125,\n 60.267066292456654\n ],\n [\n -136.065673828125,\n 62.3190027860309\n ],\n [\n -140.526123046875,\n 62.3190027860309\n ],\n [\n -140.526123046875,\n 60.267066292456654\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":783801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krebs, Charles J","contributorId":146456,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles J","affiliations":[{"id":16701,"text":"Dept. of Zoology, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":783802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenney, Alice J","contributorId":223008,"corporation":false,"usgs":false,"family":"Kenney","given":"Alice","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":783803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boonstra, Rudy","contributorId":223009,"corporation":false,"usgs":false,"family":"Boonstra","given":"Rudy","affiliations":[],"preferred":false,"id":783804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boutin, Stan","contributorId":223010,"corporation":false,"usgs":false,"family":"Boutin","given":"Stan","email":"","affiliations":[],"preferred":false,"id":783805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":783800,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208357,"text":"70208357 - 2020 - Phosphorus, nitrogen and dissolved organic carbon fluxes from sediments in freshwater rivermouths entering Green Bay (Lake Michigan; USA)","interactions":[],"lastModifiedDate":"2020-02-05T16:05:31","indexId":"70208357","displayToPublicDate":"2020-01-10T15:56:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Phosphorus, nitrogen and dissolved organic carbon fluxes from sediments in freshwater rivermouths entering Green Bay (Lake Michigan; USA)","docAbstract":"Transitional areas between ecosystem types are often active biogeochemically due to resource limitation changes. Lotic-to-lentic transitions in freshwaters appear active biogeochemically, but few studies have directly measured nutrient processing rates to assess whether processing within the rivermouth is important for load estimates or the local communities. We measured oxic fluxes of inorganic nitrogen and phosphorus and dissolved organic carbon (DOC) from sediments in two rivermouths of Green Bay (Lake Michigan, USA). Soluble reactive phosphorus (SRP) flux was positive in most cases (overall mean 1.74 mg SRP m− 2 day− 1), as was ammonium (NH4) flux (40.6 mg NH4 m− 2 day− 1). Partial least square regression (PLSR) indicated a latent variable associated with both sediment [loosely bound phosphorus (P), iron bound P, organic content] and water column properties [temperature, DOC:dissolved inorganic nitrogen (DIN) and DOC:SRP ratios (negatively)] that was moderately associated with variation in SRP flux. PLSR analysis also indicated several sediment characteristics were moderately related to NH4 flux, especially organic content, density (negative), and porosity. Flux of nitrates/nitrites (NOX) and DOC were positively associated with the water column concentrations of NOX and DOC and qualitative estimates of the labile, non-humic types of DOC. In early summer, water column NOX and DOC concentrations were high and labile DOC may have fueled denitrification, resulting in net flux into sediments of both NOX and DOC. By late summer, water column NOX and DOC were very low and both these constituents were fluxing out of sediments into the water column. Based on our estimates for the entire period from April through September, rivermouth sediments were a net source of SRP and DIN, with a DIN:SRP ratio of ~ 44 and a NH4:NOX > 1. We estimated that the sediments in the Fox rivermouth probably contributed a small proportion of the total Fox River load during the growing season 2016 (< 5%), but at times may have contributed as much as 14% of the daily load. Despite the small size of the Fox rivermouth (< 0.5% of the watershed area), these results indicate that at times sediments can contribute substantially to the overall delivery of nitrogen and phosphorus to the nearshore zone.
","language":"English","publisher":"Springer Nature Switzerland AG","doi":"10.1007/s10533-020-00635-0","usgsCitation":"Larson, J.H., James, W.F., Fitzpatrick, F.A., Frost, P.C., Evans, M.A., Reneau, P., and Xenopoulos, M.A., 2020, Phosphorus, nitrogen and dissolved organic carbon fluxes from sediments in freshwater rivermouths entering Green Bay (Lake Michigan; USA): Biogeochemistry, v. 147, p. 179-197, https://doi.org/10.1007/s10533-020-00635-0.","productDescription":"19 p.","startPage":"179","endPage":"197","ipdsId":"IP-101349","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":437171,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LVTWS8","text":"USGS data release","linkHelpText":"Data from 92 sediment incubation experiments using sediments collected from the Fox and Duck rivermouths (adjacent to Green Bay, Lake Michigan; 2016 data)"},{"id":437170,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P995SMVW","text":"USGS data release","linkHelpText":"\tR Code to analyze data from sediment incubation experiments (Fox and Duck Rivermouths; 2016)"},{"id":372096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Green Bay","otherGeospatial":"Duck Creek, Fox River, Green Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.077392578125,\n 44.44162421758805\n ],\n [\n -87.99121856689453,\n 44.44162421758805\n ],\n [\n -87.99121856689453,\n 44.57873024377564\n ],\n [\n -88.077392578125,\n 44.57873024377564\n ],\n [\n -88.077392578125,\n 44.44162421758805\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":781554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, William F.","contributorId":213265,"corporation":false,"usgs":false,"family":"James","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":38729,"text":"University of Wisconsin-Stout","active":true,"usgs":false}],"preferred":false,"id":781555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":196543,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":781556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frost, Paul C.","contributorId":138628,"corporation":false,"usgs":false,"family":"Frost","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON CA","active":true,"usgs":false}],"preferred":false,"id":781557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":781558,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reneau, Paul C.","contributorId":222219,"corporation":false,"usgs":false,"family":"Reneau","given":"Paul C.","affiliations":[{"id":40507,"text":"former employee, Wisconsin Water Science Center","active":true,"usgs":false}],"preferred":false,"id":781559,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xenopoulos, Marguerite A.","contributorId":138629,"corporation":false,"usgs":false,"family":"Xenopoulos","given":"Marguerite","email":"","middleInitial":"A.","affiliations":[{"id":12467,"text":"Department of Biology, Trent University, Peterborough, ON CA","active":true,"usgs":false}],"preferred":false,"id":781560,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249354,"text":"70249354 - 2020 - Potential underestimation of satellite fire radiative power retrievals over gas flares and wildland fires","interactions":[],"lastModifiedDate":"2023-10-05T00:14:25.937585","indexId":"70249354","displayToPublicDate":"2020-01-10T12:32:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Potential underestimation of satellite fire radiative power retrievals over gas flares and wildland fires","docAbstract":"Fire Radiative Power (FRP) is related to fire combustion rates and is used to quantify the atmospheric emissions of greenhouse gases and aerosols. FRP over gas flares and wildfires can be retrieved remotely using satellites that observe in shortwave infrared (SWIR) to middle infrared (MIR) wavelengths. Heritage techniques to retrieve FRP developed for wildland fires using the MIR 4 μm radiances have been adapted for the hotter burning gas flares using the SWIR 2 μm observations. Effects of atmosphere, including smoke and aerosols, are assumed to be minimal in these algorithms because of the use of longer than visual wavelengths. Here we use Moderate Resolution Imaging Spectroradiometer (MODIS), Visible Infrared Imaging Radiometer Suite (VIIRS) and Landsat 8 observations acquired before and during emergency oil and gas flaring in eastern Saudi Arabia to show that dark, sooty smoke affects both 4 μm and 2 μm observations. While the 2 μm observations used to retrieve gas FRP may be reliable during clear atmospheric conditions, performance is severely impacted by dark smoke. Global remote sensing-based inventories of wildfire and gas flaring need to consider the possibility that soot and dark smoke can potentially lead to an underestimation of FRP over fires.
","language":"English","publisher":"MPDI","doi":"10.3390/rs12020238","usgsCitation":"Kumar, S.S., Hult, J.E., Picotte, J., and Peterson, B., 2020, Potential underestimation of satellite fire radiative power retrievals over gas flares and wildland fires: Remote Sensing, v. 12, no. 2, 238, 9 p., https://doi.org/10.3390/rs12020238.","productDescription":"238, 9 p.","ipdsId":"IP-113025","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":458161,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12020238","text":"Publisher Index Page"},{"id":421611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[42.77933,16.34789],[42.64957,16.77464],[42.34799,17.07581],[42.27089,17.47472],[41.75438,17.83305],[41.22139,18.6716],[40.93934,19.48649],[40.24765,20.17463],[39.80168,20.33886],[39.1394,21.2919],[39.0237,21.98688],[39.06633,22.57966],[38.49277,23.68845],[38.02386,24.07869],[37.48363,24.28549],[37.15482,24.85848],[37.20949,25.08454],[36.93163,25.60296],[36.6396,25.82623],[36.24914,26.57014],[35.64018,27.37652],[35.13019,28.06335],[34.63234,28.05855],[34.78778,28.60743],[34.83222,28.95748],[34.95604,29.35655],[36.06894,29.19749],[36.50121,29.50525],[36.74053,29.86528],[37.50358,30.00378],[37.66812,30.33867],[37.99885,30.5085],[37.00217,31.50841],[39.00489,32.01022],[39.19547,32.16101],[40.39999,31.88999],[41.88998,31.19001],[44.7095,29.17889],[46.56871,29.09903],[47.45982,29.00252],[47.70885,28.52606],[48.41609,28.552],[48.80759,27.68963],[49.29955,27.46122],[49.47091,27.11],[50.15242,26.68966],[50.21294,26.27703],[50.1133,25.94397],[50.23986,25.60805],[50.52739,25.32781],[50.66056,24.9999],[50.81011,24.75474],[51.11242,24.55633],[51.38961,24.62739],[51.57952,24.2455],[51.61771,24.01422],[52.00073,23.00115],[55.0068,22.49695],[55.20834,22.70833],[55.66666,22],[54.99998,19.99999],[52.00001,19],[49.11667,18.61667],[48.18334,18.16667],[47.46669,17.11668],[47,16.95],[46.74999,17.28334],[46.36666,17.23332],[45.4,17.33334],[45.21665,17.43333],[44.06261,17.41036],[43.79152,17.31998],[43.38079,17.57999],[43.1158,17.08844],[43.21838,16.66689],[42.77933,16.34789]]]},\"properties\":{\"name\":\"Saudi Arabia\"}}]}","volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Sanath S. 0000-0003-4067-4926","orcid":"https://orcid.org/0000-0003-4067-4926","contributorId":330540,"corporation":false,"usgs":true,"family":"Kumar","given":"Sanath","email":"","middleInitial":"S.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hult, John Edward 0000-0001-8895-3727","orcid":"https://orcid.org/0000-0001-8895-3727","contributorId":330551,"corporation":false,"usgs":true,"family":"Hult","given":"John","email":"","middleInitial":"Edward","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Picotte, Joshua J. 0000-0002-4021-4623","orcid":"https://orcid.org/0000-0002-4021-4623","contributorId":202800,"corporation":false,"usgs":true,"family":"Picotte","given":"Joshua J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":885284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, Birgit 0000-0002-4356-1540 bpeterson@usgs.gov","orcid":"https://orcid.org/0000-0002-4356-1540","contributorId":192353,"corporation":false,"usgs":true,"family":"Peterson","given":"Birgit","email":"bpeterson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208629,"text":"70208629 - 2020 - Seasonal drivers of chemical and hydrological patterns in roadside infiltration-based green infrastructure","interactions":[],"lastModifiedDate":"2020-02-21T10:40:13","indexId":"70208629","displayToPublicDate":"2020-01-10T10:29:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal drivers of chemical and hydrological patterns in roadside infiltration-based green infrastructure","docAbstract":"Infiltration-based green infrastructure has become a popular means of reducing stormwater hazards in urban areas. However, the long-term effects of green infrastructure on the geochemistry of roadside environments are poorly defined, particularly given the considerable roadside legacy metal contamination from historic industrial activity and vehicle emissions (e.g., Pb). Most current research on green infrastructure geochemistry is restricted to time periods of less than a year or limited sets of chemical species. This further limits our understanding of systems that evolve over time and are subject to seasonal variability. Between 2016 and 2018, two infiltration trenches in Pittsburgh, PA, were monitored to determine infiltration rates and dissolved nutrient and metal content. The trench water was analyzed to characterize seasonal patterns in both trench function and chemistry. Shifting patterns in infiltration rate and geochemical activity show trends corresponding with seasonal changes. Trench function is dependent on the local water table, with the highest infiltration rates occurring when evapotranspiration is active and groundwater elevation is low. Two seasonal chemical patterns were identified. The first is driven by road salt application in the winter and interaction of the salt pulse increase Pb and Cu concentrations. The second is driven by the formation of summer reducing environments that increase dissolved Fe and Mn. These findings suggest that chemical and hydrological activity in infiltration-based green infrastructure varies seasonally and may remobilize legacy contamination.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.136503","usgsCitation":"Mullins, A.R., Bain, D.J., Pfeil McCullough, E., Hopkins, K.G., Lavin, S., and Copeland, E., 2020, Seasonal drivers of chemical and hydrological patterns in roadside infiltration-based green infrastructure: Science of the Total Environment, v. 714, 136503, 9 p., https://doi.org/10.1016/j.scitotenv.2020.136503.","productDescription":"136503, 9 p.","ipdsId":"IP-107782","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":372502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Pittsburgh","otherGeospatial":"Schenley Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.95034217834473,\n 40.428067577817366\n ],\n [\n -79.93197441101074,\n 40.428067577817366\n ],\n [\n -79.93197441101074,\n 40.4415907903353\n ],\n [\n -79.95034217834473,\n 40.4415907903353\n ],\n [\n -79.95034217834473,\n 40.428067577817366\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"714","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mullins, Angela R.","contributorId":222657,"corporation":false,"usgs":false,"family":"Mullins","given":"Angela","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":782814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bain, Daniel J 0000-0003-1979-7016","orcid":"https://orcid.org/0000-0003-1979-7016","contributorId":197634,"corporation":false,"usgs":true,"family":"Bain","given":"Daniel","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":782815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeil McCullough, Erin","contributorId":222658,"corporation":false,"usgs":false,"family":"Pfeil McCullough","given":"Erin","email":"","affiliations":[],"preferred":false,"id":782816,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":782817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lavin, S.","contributorId":107127,"corporation":false,"usgs":true,"family":"Lavin","given":"S.","email":"","affiliations":[],"preferred":false,"id":782818,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Copeland, Erin","contributorId":222659,"corporation":false,"usgs":false,"family":"Copeland","given":"Erin","email":"","affiliations":[],"preferred":false,"id":782819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70209414,"text":"70209414 - 2020 - Calcite precipitation in Lake Powell reduces alkalinity and total salt loading to the Lower Colorado River Basin","interactions":[],"lastModifiedDate":"2020-08-04T13:59:38.294865","indexId":"70209414","displayToPublicDate":"2020-01-10T08:25:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Calcite precipitation in Lake Powell reduces alkalinity and total salt loading to the Lower Colorado River Basin","docAbstract":"Reservoirs can retain and transform carbon, nitrogen, phosphorus, and silica, but less is known about their effects on other biogeochemically relevant solutes. The salinization of freshwater ecosystems is a growing concern in many regions, and the role of reservoirs in salinity transport is an important research frontier. Here, we examine how a large desert southwest reservoir, Lake Powell, has altered the downstream transport of total dissolved solids (TDSs) as well as the dominant cations and anions comprising the TDS pool (![\"urn:x-wiley:00243590:media:lno11399:lno11399-math-0001\"](\"https://aslopubs.onlinelibrary.wiley.com/cms/asset/e804c3ff-bfd7-48f1-aae4-42cd05a557b1/lno11399-math-0001.png\")
, ![\"urn:x-wiley:00243590:media:lno11399:lno11399-math-0002\"](\"https://aslopubs.onlinelibrary.wiley.com/cms/asset/6502c6e0-db3d-4fd2-b57f-0736ce6bea4a/lno11399-math-0002.png\")
, and Ca2+). Average downstream TDS concentrations have declined significantly since river impoundment and seasonal fluctuations in TDS concentrations have become more modulated, but year to year variation in TDS concentrations has remained similar. While some of the reductions in TDS concentration can be attributed to watershed management, we find that Lake Powell retains about 10% of the TDS loaded to the system (1991 Mg TDS d−1). Much of this retention is occurring in the forms of calcium and bicarbonate, likely via calcite precipitation, and is equivalent to an average burial of 522 mg C m−2 d−1, thus reducing the alkalinity of downstream water. Flow‐weighted modeling suggests that, in the absence of Lake Powell, downstream salinity limits would be surpassed at the outflow to Lake Powell 41% of the time (vs. 0% of the time currently). Understanding the dominant mechanisms regulating solute transport through the reservoir is important given the relevance for downstream drinking water and irrigation concerns, biogeochemical cycling, and the high potential for reduced flows in the future.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.11399","usgsCitation":"Deemer, B., Stets, E.G., and Yackulic, C.B., 2020, Calcite precipitation in Lake Powell reduces alkalinity and total salt loading to the Lower Colorado River Basin: Limnology and Oceanography, v. 65, no. 7, p. 1439-1455, https://doi.org/10.1002/lno.11399.","productDescription":"17 p.","startPage":"1439","endPage":"1455","ipdsId":"IP-112663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":437173,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9P44R","text":"USGS data release","linkHelpText":"Calcium, magnesium and total dissolved solids data as well as modeled salinity and mass balance estimates for Lake Powell, 1952-2017"},{"id":373749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Lower Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.4228515625,\n 36.87962060502676\n ],\n [\n -109.3798828125,\n 35.02999636902566\n ],\n [\n -104.765625,\n 35.639441068973944\n ],\n [\n -104.19433593749999,\n 37.996162679728116\n ],\n [\n -104.4580078125,\n 40.74725696280421\n ],\n [\n -107.5341796875,\n 43.42100882994726\n ],\n [\n -110.56640625,\n 43.739352079154706\n ],\n [\n -112.54394531249999,\n 43.58039085560784\n ],\n [\n -113.115234375,\n 41.672911819602085\n ],\n [\n -112.412109375,\n 40.3130432088809\n ],\n [\n -112.1484375,\n 39.13006024213511\n ],\n [\n -112.8955078125,\n 37.61423141542417\n ],\n [\n -113.4228515625,\n 36.87962060502676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":786378,"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":786379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":786380,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70227653,"text":"70227653 - 2020 - Resilience management for conservation of inland recreational fisheries","interactions":[],"lastModifiedDate":"2022-01-25T14:28:09.045933","indexId":"70227653","displayToPublicDate":"2020-01-10T08:22:43","publicationYear":"2020","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":"Resilience management for conservation of inland recreational fisheries","docAbstract":"Resilience thinking has generated much interest among scientific communities, yet most resilience concepts have not materialized into management applications. We believe that using resilience concepts to characterize systems and the social and ecological processes affecting them is a way to integrate resilience into better management decisions. This situation is exemplified by inland recreational fisheries, which represent complex socioecological systems that face unpredictable and unavoidable change. Making management decisions in the context of resilience is increasingly important given mounting environmental and anthropogenic perturbations to inland systems. Herein, we propose a framework that allows resilience concepts to be better incorporated into management by (i) recognizing how current constraints and management objectives focus on desired or undesired systems (specific fish and anglers), (ii) evaluating the state of a system in terms of how both social and ecological forces enforce or erode the desired or undesired system, (iii) identifying the resilience-stage cycles a system state may undergo, and (iv) determining the broad management strategies that may be viable given the system state and resilience stage. We use examples from inland recreational fisheries to illustrate different system state and resilience stages and synthesize several key results. Across all combinations of socioecological forces, five common types of viable management strategies emerge: (i) adopt a different management preference or focus, (ii) change stakeholder attitudes or behaviors via stakeholder outreach, (iii) engage in (sometimes extreme) biological intervention, (iv) engage in fishery intervention, and (v) adopt landscape-level management approaches focusing on achieving different systems in different waters. We then discuss the challenges and weaknesses of our approach, including specifically the cases in which there are multiple strong social forces (i.e., stakeholders holding competing objectives or values) and situations where waters are not readily divisible, such as rivers or great lakes, and in which spatial separation of competing objectives will be difficult. We end with our vision of how we believe these types of operationalized resilience approaches could improve or transform inland recreational fisheries management.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00498","usgsCitation":"Camp, E.V., Kaemingk, M.A., Ahrens, R.N., Potts, W.M., Pine, W.E., Weyl, O.L., and Pope, K.L., 2020, Resilience management for conservation of inland recreational fisheries: Frontiers in Ecology and Evolution, v. 7, 498, 17 p., https://doi.org/10.3389/fevo.2019.00498.","productDescription":"498, 17 p.","ipdsId":"IP-108306","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":458164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00498","text":"Publisher Index Page"},{"id":394818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, E. V.","contributorId":272121,"corporation":false,"usgs":false,"family":"Camp","given":"E.","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":831557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaemingk, M. A.","contributorId":271091,"corporation":false,"usgs":false,"family":"Kaemingk","given":"M.","email":"","middleInitial":"A.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":831558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahrens, R. N. M.","contributorId":272122,"corporation":false,"usgs":false,"family":"Ahrens","given":"R.","email":"","middleInitial":"N. M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":831559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potts, W. M.","contributorId":268289,"corporation":false,"usgs":false,"family":"Potts","given":"W.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":831560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pine, W. E. III","contributorId":272123,"corporation":false,"usgs":false,"family":"Pine","given":"W.","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":831561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weyl, O. L. F","contributorId":272124,"corporation":false,"usgs":false,"family":"Weyl","given":"O.","email":"","middleInitial":"L. F","affiliations":[{"id":48725,"text":"South African Institute for Aquatic Biodiversity","active":true,"usgs":false}],"preferred":false,"id":831562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pope, Kevin L. 0000-0003-1876-1687","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":270762,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":831563,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70208310,"text":"70208310 - 2020 - How often can Earthquake Early Warning systems alert sites with high intensity ground motion?","interactions":[],"lastModifiedDate":"2020-02-04T07:34:49","indexId":"70208310","displayToPublicDate":"2020-01-10T07:33:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"How often can Earthquake Early Warning systems alert sites with high intensity ground motion?","docAbstract":"Although numerous Earthquake Early Warning (EEW) algorithms have been developed we still lack a detailed understanding of how often and under what circumstances useful ground motion alerts can be provided to end-users. Here we analyze the alerting performance of the PLUM, EPIC and FinDer algorithms by running them retrospectively on the seismic strong motion data of the 219 earthquakes in Japan since 1996 that exceeded Modified Mercalli Intensity (MMI) of 4.5 on at least 10 sites (Mw 4.5-9.1). Our analysis suggests that, irrespective of the algorithm, EEW end-users should be prepared that EEW can often but not always provide useful ground motion alerts. A majority of sites with moderate-strong ground motion (MMI 5-6) can generally get at least a few seconds of warning time from all algorithms. If such shaking is caused by a shallow crustal event, around 50% of such sites receive alerts with warning times >5 s. Many sites with severe-extreme ground motion (MMI >=8) can be alerted successfully in the case of very large offshore earthquakes, but less than 20% can be alerted ahead of time if such shaking is caused by a shallow crustal event. Our results provide detailed quantitative insight into the expected alerting performance for EEW algorithms under realistic conditions. The main caveat is that the largest shallow crustal event in our data set has Mw7.0, i.e. the data set does not contain very large strike slip events.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB017718","usgsCitation":"Meier, M., Kodera, Y., Bose, M., Chung, A.I., Hoshiba, M., Cochran, E.S., Minson, S.E., Hauksson, E., and Heaton, T., 2020, How often can Earthquake Early Warning systems alert sites with high intensity ground motion?: Journal of Geophysical Research, v. 125, e2019JB017718, 17 p., https://doi.org/10.1029/2019JB017718.","productDescription":"e2019JB017718, 17 p.","ipdsId":"IP-107685","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":458167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb017718","text":"Publisher Index Page"},{"id":371988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Meier, M.-A.","contributorId":222138,"corporation":false,"usgs":false,"family":"Meier","given":"M.-A.","email":"","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":781351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kodera, Y.","contributorId":216381,"corporation":false,"usgs":false,"family":"Kodera","given":"Y.","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":781352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bose, M.","contributorId":222139,"corporation":false,"usgs":false,"family":"Bose","given":"M.","email":"","affiliations":[{"id":40494,"text":"ETH-Zurich","active":true,"usgs":false}],"preferred":false,"id":781353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chung, A. I.","contributorId":39293,"corporation":false,"usgs":false,"family":"Chung","given":"A.","email":"","middleInitial":"I.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":781354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoshiba, M.","contributorId":222140,"corporation":false,"usgs":false,"family":"Hoshiba","given":"M.","affiliations":[{"id":39398,"text":"JMA","active":true,"usgs":false}],"preferred":false,"id":781355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":781350,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":781356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hauksson, E.","contributorId":196003,"corporation":false,"usgs":false,"family":"Hauksson","given":"E.","affiliations":[],"preferred":false,"id":781357,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heaton, T.","contributorId":222141,"corporation":false,"usgs":false,"family":"Heaton","given":"T.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":781358,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70211206,"text":"70211206 - 2020 - Frequent burning causes large losses of carbon from deep soil layers in a temperate savanna","interactions":[],"lastModifiedDate":"2020-07-17T18:11:52.236479","indexId":"70211206","displayToPublicDate":"2020-01-09T13:03:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Frequent burning causes large losses of carbon from deep soil layers in a temperate savanna","docAbstract":"- Fire activity is changing dramatically across the globe, with uncertain effects on ecosystem processes, especially below‐ground. Fire‐driven losses of soil carbon (C) are often assumed to occur primarily in the upper soil layers because the repeated combustion of above‐ground biomass limits organic matter inputs into surface soil. However, C losses from deeper soil may occur if frequent burning reduces root biomass inputs of C into deep soil layers or stimulates losses of C via leaching and priming.
- To assess the effects of fire on soil C, we sampled 12 plots in a 51‐year‐long fire frequency manipulation experiment in a temperate oak savanna, where variation in prescribed burning frequency has created a gradient in vegetation structure from closed‐canopy forest in unburned plots to open‐canopy savanna in frequently burned plots.
- Soil C stocks were nonlinearly related to fire frequency, with soil C peaking in savanna plots burned at an intermediate fire frequency and declining in the most frequently burned plots. Losses from deep soil pools were significant, with the absolute difference between intermediately burned plots versus most frequently burned plots more than doubling when the full 1 m sample was considered rather than the top 0–20 cm alone (losses of 98.5 Mg C/ha [−76%] and 42.3 Mg C/ha [−68%] in the full 1 m and 0–20 cm layers respectively). Compared to unburned forested plots, the most frequently burned plots had 65.8 Mg C/ha (−58%) less C in the full 1 m sample. Root biomass below the top 20 cm also declined by 39% with more frequent burning. Concurrent fire‐driven losses of nitrogen and gains in calcium and phosphorus suggest that burning may increase nitrogen limitation and play a key role in the calcium and phosphorus cycles in temperate savannas.
- Synthesis . Our results illustrate that fire‐driven losses in soil C and root biomass in deep soil layers may be critical factors regulating the net effect of shifting fire regimes on ecosystem C in forest‐savanna transitions. Projected changes in soil C with shifting fire frequencies in savannas may be 50% too low if they only consider changes in the topsoil.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13351","usgsCitation":"Pellegrini, A., McLauchlan, K., Hobbie, S.E., Mack, M., Marcotte, A.L., Nelson, D.M., Perakis, S.S., Reich, P.B., and Whittinghill, K., 2020, Frequent burning causes large losses of carbon from deep soil layers in a temperate savanna: Journal of Ecology, v. 108, no. 4, p. 1426-1441, https://doi.org/10.1111/1365-2745.13351.","productDescription":"16 p.","startPage":"1426","endPage":"1441","ipdsId":"IP-107871","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13351","text":"Publisher Index Page"},{"id":376474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Cedar Creek Ecosystem Science Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.22860717773438,\n 45.38205472052984\n ],\n [\n -93.15170288085938,\n 45.38205472052984\n ],\n [\n -93.15170288085938,\n 45.45627757127799\n ],\n [\n -93.22860717773438,\n 45.45627757127799\n ],\n [\n -93.22860717773438,\n 45.38205472052984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"108","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Pellegrini, Adam 0000-0003-0418-4129","orcid":"https://orcid.org/0000-0003-0418-4129","contributorId":229443,"corporation":false,"usgs":false,"family":"Pellegrini","given":"Adam","email":"","affiliations":[{"id":41644,"text":"Stanford U","active":true,"usgs":false}],"preferred":false,"id":793190,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLauchlan, Kendra K","contributorId":195653,"corporation":false,"usgs":false,"family":"McLauchlan","given":"Kendra K","affiliations":[],"preferred":false,"id":793191,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbie, Sarah E","contributorId":229444,"corporation":false,"usgs":false,"family":"Hobbie","given":"Sarah","email":"","middleInitial":"E","affiliations":[{"id":40035,"text":"U Minnesota","active":true,"usgs":false}],"preferred":false,"id":793192,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Michelle C.","contributorId":140367,"corporation":false,"usgs":false,"family":"Mack","given":"Michelle C.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":793193,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marcotte, Abbey L","contributorId":229445,"corporation":false,"usgs":false,"family":"Marcotte","given":"Abbey","email":"","middleInitial":"L","affiliations":[{"id":41645,"text":"Kansas State U","active":true,"usgs":false}],"preferred":false,"id":793194,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":793195,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":793196,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reich, Peter B.","contributorId":202370,"corporation":false,"usgs":false,"family":"Reich","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":36398,"text":"Department of Forest Resources, University of Minnesota, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":793197,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Whittinghill, Kyle","contributorId":229446,"corporation":false,"usgs":false,"family":"Whittinghill","given":"Kyle","email":"","affiliations":[{"id":41646,"text":"U Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":793198,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70227742,"text":"70227742 - 2020 - Combined influence of intrinsic and environmental factors in shaping productivity in a small pelagic gull, the black-legged kittiwake Rissa tridactyla","interactions":[],"lastModifiedDate":"2022-01-28T16:01:47.756094","indexId":"70227742","displayToPublicDate":"2020-01-09T09:57:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Combined influence of intrinsic and environmental factors in shaping productivity in a small pelagic gull, the black-legged kittiwake Rissa tridactyla","title":"Combined influence of intrinsic and environmental factors in shaping productivity in a small pelagic gull, the black-legged kittiwake Rissa tridactyla","docAbstract":"While we have a good understanding in many systems of the effects of single variable changes on organisms, we understand far less about how variables act in concert to affect living systems, where interactions among variables can lead to unanticipated results. We used mixed-effect models to evaluate the effects of multiple variables that we expected to play a role in the early reproductive stages of a North Pacific seabird, the black-legged kittiwake Rissa tridactyla, during 1992-2008 using data collected on known-aged individuals. Our work revealed the potential for contrasting stressor effects across successive stages of reproduction. Bird age, timing of egg laying, and winter ENSO conditions best explained individual laying success, such that laying success was greater when parents were older, the average winter ENSO index was positive (as occurs during El Niño episodes), and the median laying date for the colony was earlier. Age and salmon run timing (a proxy for predator presence at the colony) best explained hatching success, such that hatching success was greater when parents were older and when salmon runs were early. Identifying such differential effects of multiple stressors across consecutive reproductive stages can greatly enhance our ability to interpret trends and manage populations in the face of changes currently occurring in living systems.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps13162","usgsCitation":"McKnight, A., Irons, D., Loftin, C., McKinney, S., and Olsen, B., 2020, Combined influence of intrinsic and environmental factors in shaping productivity in a small pelagic gull, the black-legged kittiwake Rissa tridactyla: Marine Ecology Progress Series, v. 633, p. 207-223, https://doi.org/10.3354/meps13162.","productDescription":"17 p.","startPage":"207","endPage":"223","ipdsId":"IP-088508","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"633","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McKnight, Aly","contributorId":272505,"corporation":false,"usgs":false,"family":"McKnight","given":"Aly","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":832006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irons, David B.","contributorId":272506,"corporation":false,"usgs":false,"family":"Irons","given":"David B.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":832007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKinney, Shawn T.","contributorId":272507,"corporation":false,"usgs":false,"family":"McKinney","given":"Shawn T.","affiliations":[],"preferred":false,"id":832008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olsen, Brian J.","contributorId":272508,"corporation":false,"usgs":false,"family":"Olsen","given":"Brian J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":832009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70211640,"text":"70211640 - 2020 - Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis)","interactions":[],"lastModifiedDate":"2020-08-06T19:55:59.712564","indexId":"70211640","displayToPublicDate":"2020-01-09T09:25:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5991,"text":"The Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis)","title":"Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis)","docAbstract":"Invasive species are a major threat to the persistence of native species, particularly in systems where ephemeral aquatic habitats have been replaced by permanent water and predators, such as fish, have been introduced. Within the Altar Valley, Arizona, the invasive American bullfrog, Lithobates catesbeianus (formerly Rana catesbeianus), has been successfully eradicated to help recover Chiricahua leopard frogs (Lithobates chiricahuensis). However, other nonnative predators including sunfish (Lepomis) are present in some permanent water bodies. During four consecutive years (2014–2017), we detected both the federally threatened Chiricahua leopard frog and sunfish at one permanent water body in the Altar Valley. This suggests that despite the potential negative effect of predatory fish on amphibians, there may be conditions where the Chiricahua leopard frog can co-occur with this nonnative predator. A better understanding of rare situations of co-occurrence with nonnative predators may contribute to our understanding of why co-occurrence happens in some, but not all, systems and whether conservation strategies can be developed in situations where eradication of nonnative predators is infeasible.
","language":"English","publisher":"BioOne","doi":"10.1894/0038-4909-64-1-69","usgsCitation":"Howell, P., Sigafus, B.H., Hossack, B.R., and Muths, E.L., 2020, Co-occurence of Chiricahua leopard frogs (Lithobates chiricahuensis) with sunfish (Lepomis): The Southwestern Naturalist, v. 64, no. 1, p. 69-72, https://doi.org/10.1894/0038-4909-64-1-69.","productDescription":"4 p.","startPage":"69","endPage":"72","numberOfPages":"4","ipdsId":"IP-091934","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":377105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Alter Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.785888671875,\n 31.51767878128718\n ],\n [\n -111.19537353515624,\n 31.51767878128718\n ],\n [\n -111.19537353515624,\n 32.16631295696736\n ],\n [\n -111.785888671875,\n 32.16631295696736\n ],\n [\n -111.785888671875,\n 31.51767878128718\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":173495,"corporation":false,"usgs":false,"family":"Howell","given":"Paige E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":794901,"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":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":794902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3121 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3121","contributorId":236995,"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":794903,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207989,"text":"70207989 - 2020 - Challenges for leveraging citizen science to support statistically robust monitoring programs","interactions":[],"lastModifiedDate":"2020-01-23T06:36:56","indexId":"70207989","displayToPublicDate":"2020-01-09T06:35:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Challenges for leveraging citizen science to support statistically robust monitoring programs","docAbstract":"Large samples and long time series are often needed for effective broad-scale monitoring of status and trends in wild populations. Obtaining those sample sizes can be more feasible when volunteers contribute to the dataset, but volunteer-selected sites are not always representative of a population. Previous work to account for biased site selection has relied on knowledge of covariates to explain differences between site types, but such knowledge is often unavailable. For cases where relevant covariates have not been defined, we used a simulation study to identify the consequences of including non-probabilistically selected sites (NP sites) in addition to sites selected from a probability-based design (P sites), test modeling frameworks that might correct for biases, and evaluate whether those frameworks could allow NP sites to reduce the sampling requirement for P sites and potentially reduce costs of monitoring. We informed the simulation with pilot data from surveys of monarch butterflies and their obligate larval host plant, milkweed. We found strong biases in NP sites versus P sites in density and trends of monarchs and milkweed. Modeling frameworks that accounted for site type with a group effect or that strongly downweighted NP sites successfully produced unbiased estimates. However, sampling more NP sites typically did not improve accuracy or precision, and adding NP sites sometimes required also adding P sites to prevent biases. Further work on novel modeling frameworks would be useful to allow citizen-science data to contribute useful information to conservation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108411","usgsCitation":"Weiser, E.L., Diffendorfer, J., Lopez-Hoffman, L., Semmens, D., and Thogmartin, W.E., 2020, Challenges for leveraging citizen science to support statistically robust monitoring programs: Biological Conservation, v. 242, 108411, 10 p., https://doi.org/10.1016/j.biocon.2020.108411.","productDescription":"108411, 10 p.","ipdsId":"IP-112580","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":458175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108411","text":"Publisher Index Page"},{"id":371491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"242","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":213770,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":780046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":780047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":780048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":64201,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":780049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":780050,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70207244,"text":"sir20195141 - 2020 - Water-balance techniques for determining available soil-water storage for selected sandy and clay soil study sites in Cass County, North Dakota, 2016–17","interactions":[],"lastModifiedDate":"2022-04-25T20:16:09.086144","indexId":"sir20195141","displayToPublicDate":"2020-01-08T16:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5141","displayTitle":"Water-Balance Techniques for Determining Available Soil-Water Storage for Selected Sandy and Clay Soil Study Sites in Cass County, North Dakota, 2016–17","title":"Water-balance techniques for determining available soil-water storage for selected sandy and clay soil study sites in Cass County, North Dakota, 2016–17","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service, collected field and remotely sensed data on precipitation, evapotranspiration (ET), and soil-water content to determine available soil-water storage (AWS) at six study sites on sandy and clay soils in Cass County, North Dakota. Data were collected at all the study sites from May 1–October 31, 2016, and from May 1–October 24, 2017. Estimated daily AWS was determined using daily meteorological and potential evapotranspiration (PET) data obtained from various climate stations, and estimated monthly AWS was determined using monthly meteorological and PET data and monthly ET data determined using the Operational Simplified Surface Energy Balance model. AWS during 2016 and 2017 was determined at daily and monthly time steps because of data availability and to assess results using varying time steps. Comparisons of measured and estimated daily values of AWS at the Brewer Lake site indicated poor agreement during May–October 2016 and May–October 2017. Comparisons of measured and estimated daily values of AWS at the Embden East and Embden West sites indicated poor and fair agreement respectively. At the Lynchburg Crop and Lynchburg Grass sites, comparisons of measured and estimated daily values of AWS indicated fair and good relations, respectively, even with the possible effects of soil cracks. Mean estimated values of daily runoff plus soil percolation for the four sandy soil sites indicated that a maximum of about 19 percent of the estimated runoff plus soil percolation could be considered runoff and that the remaining 81 percent could be considered soil percolation, and for the two clay soil sites about 13 percent of the runoff plus soil percolation could have been considered runoff and about 87 percent could have been considered soil percolation. Results indicated little difference between using monthly PET or monthly ET in water-balance equations to estimate monthly AWS for the grouped sandy soil sites, and only slightly better results were obtained using monthly PET than monthly ET to estimate monthly AWS for the grouped clay soil study sites. Overall, the monthly water-balance models did not perform as well as the daily water-balance models for determining AWS at the six study sites. Additional data collection from a longer-period study and adjustments to the models may improve results from the monthly water-balance techniques.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195141","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Natural Resources Conservation Service","usgsCitation":"Vining, K.C., 2020, Water-balance techniques for determining available soil-water storage for selected sandy and clay soil study sites in Cass County, North Dakota, 2016–17: U.S. Geological Survey Scientific Investigations Report 2019–5141, 39 p., https://doi.org/10.3133/sir20195141.","productDescription":"Report: vii, 39 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-098347","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":399616,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109584.htm"},{"id":371052,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GG2ILI","text":"USGS data 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Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702
","tableOfContents":"- Abstract
- Introduction
- Methods
- Results of Water-Balance Techniques and Available Soil-Water Storage Analyses
- Limitations
- Summary
- References Cited
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-01-08","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Vining, Kevin C. 0000-0001-5738-3872","orcid":"https://orcid.org/0000-0001-5738-3872","contributorId":221225,"corporation":false,"usgs":true,"family":"Vining","given":"Kevin","email":"","middleInitial":"C.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777428,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70231788,"text":"70231788 - 2020 - Bioaccumulation and toxicity of cadmium, copper, nickel, and zinc and their mixtures to aquatic insect communities","interactions":[],"lastModifiedDate":"2022-05-26T15:05:00.261268","indexId":"70231788","displayToPublicDate":"2020-01-08T10:01:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Bioaccumulation and toxicity of cadmium, copper, nickel, and zinc and their mixtures to aquatic insect communities","docAbstract":"We describe 2 artificial stream experiments that exposed aquatic insect communities to zinc (Zn), copper (Cu), and cadmium (year 2014) and to Zn, Cu, and nickel (year 2015). The testing strategy was to concurrently expose insect communities to single metals and mixtures. Single-metal tests were repeated to evaluate the reproducibility of the methods and year-to-year variability. Metals were strongly accumulated in sediments, periphyton, and insect (caddisfly) tissues, with the highest concentrations occurring in periphyton. Sensitive mayflies declined in metal treatments, and effect concentrations could be predicted effectively from metal concentrations in either periphyton or water. Most responses were similar in the replicated tests, but median effect concentration values for the mayfly Rhithrogena sp. varied 20-fold between the tests, emphasizing the difficulty comparing sensitivities across studies and the value of repeated testing. Relative to the single-metal responses, the toxicity of the mixtures was either approximately additive or less than additive when calculated as the product of individual responses (response addition). However, even less-than-additive relative responses were sometimes greater than responses to similar concentrations tested singly. The ternary mixtures resulted in mayfly declines at concentrations that caused no declines in the concurrent single-metal tests. When updating species-sensitivity distributions (SSDs) with these results, the mayfly responses were among the most sensitive 10th percentile of available data for all 4 metals, refuting older literature placing mayflies in the insensitive portion of metal SSDs. Testing translocated aquatic insect communities in 30-d artificial streams is an efficient approach to generate multiple species effect values under quasi-natural conditions that are relevant to natural streams.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.4663","usgsCitation":"Mebane, C.A., Schmidt, T., Miller, J.L., and Balistrieri, L.S., 2020, Bioaccumulation and toxicity of cadmium, copper, nickel, and zinc and their mixtures to aquatic insect communities: Environmental Toxicology and Chemistry, v. 39, no. 4, p. 812-833, https://doi.org/10.1002/etc.4663.","productDescription":"22 p.","startPage":"812","endPage":"833","ipdsId":"IP-110553","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":458177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.4663","text":"Publisher Index Page"},{"id":401151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":843833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Janet L.","contributorId":218842,"corporation":false,"usgs":false,"family":"Miller","given":"Janet","email":"","middleInitial":"L.","affiliations":[{"id":39922,"text":"No affilcation","active":true,"usgs":false}],"preferred":false,"id":843834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":843835,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210164,"text":"70210164 - 2020 - Fluxes of agricultural nitrogen and metolachlor metabolites are highly correlated in a first order stream in Maryland, USA","interactions":[],"lastModifiedDate":"2020-05-19T14:55:14.610714","indexId":"70210164","displayToPublicDate":"2020-01-08T09:49:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Fluxes of agricultural nitrogen and metolachlor metabolites are highly correlated in a first order stream in Maryland, USA","docAbstract":"Nitrogen pollution in watersheds containing significant\ncropland area is generally problematic. Conservation practices intended\nto reduce nitrate-N (NO3--N) export from watersheds are being implemented\nby many regions without necessary tools to assess effectiveness of these\nabatement tools. A commonly used herbicide metolachlor degrades in the\nvadose zone of croplands to form two metabolites (metolachlor ethane\nsulfonic acid (MESA) and metolachlor oxanilic acid (MOXA)) which are both\nhighly soluble in soils. Study of metabolite fates in a first order\nwatershed provided evidence that transport of these metabolites to stream\nwater is highly correlated to transport of the agricultural NO3--N that\nalso forms in the cropland vadose zone. Linear models describing the\nrelationships of stream flux of MESA and MOXA to NO3--N flux generated\ngoodness of fit values of 0.93 and 0.82 respectively. These findings\nsupport a conclusion that both MESA and MOXA act as excellent transport\nanalogs of NO3- and become strongly correlated to agricultural NO3--N\nleaching from the cropland vadose zone. Moreover, their use as\nconservative tracers in agricultural watersheds can provide valuable\ninformation concerning movement and fate of agricultural nitrogen at\nwatershed scales of observation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.136590","usgsCitation":"Rice, C., Hively, W.D., McCarty, G.W., and Hapeman, C., 2020, Fluxes of agricultural nitrogen and metolachlor metabolites are highly correlated in a first order stream in Maryland, USA: Science of the Total Environment, v. 716, 136590, 7 p., https://doi.org/10.1016/j.scitotenv.2020.136590.","productDescription":"136590, 7 p.","ipdsId":"IP-113701","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":458180,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2020.136590","text":"Publisher Index 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\"}}]}","volume":"716","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rice, Cliff 0000-0002-7702-9376","orcid":"https://orcid.org/0000-0002-7702-9376","contributorId":224744,"corporation":false,"usgs":false,"family":"Rice","given":"Cliff","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":789364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":210993,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":789365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCarty, Gregory W.","contributorId":192367,"corporation":false,"usgs":false,"family":"McCarty","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":789366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hapeman, Cathleen","contributorId":224745,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":789367,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219522,"text":"70219522 - 2020 - Components and predictors of biological soil crusts vary at the regional vs. plant community scales","interactions":[],"lastModifiedDate":"2021-04-12T13:30:31.762854","indexId":"70219522","displayToPublicDate":"2020-01-08T08:28:18","publicationYear":"2020","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":"Components and predictors of biological soil crusts vary at the regional vs. plant community scales","docAbstract":"Although biological soil crusts (biocrusts) occur globally in arid and semi-arid environments, most of our knowledge of biocrust cover and ecology is from a relatively small number of locations worldwide. Some plant communities are known to have high cover of biocrusts, but the abundance of biocrusts is largely undocumented in most plant communities. Using a data driven approach, we identified 16 plant communities based on plant cover from the Assessment, Inventory, and Monitoring Strategy data from the Bureau of Land Management (AIM, 5,200 plots). We found that abundance of lichens and mosses varies among communities, but that both components of biocrusts are present in all plant communities. Biocrusts are indicators of two of these communities: one that is defined by high cover of mosses and basin big sagebrush and one that is defined by high cover of lichens and shadscale saltbush. Using non-parametric multiplicative regression, we evaluated a suite of abiotic and disturbance variables to assess the degree to which climate and soils are associated with the abundance of lichens and mosses at the regional scale. At the regional scale, soil depth and maximum vapor pressure deficit were found to be strongly associated with the abundance of lichens and January minimum temperature dictated the abundance of mosses. At the scale of plant communities, community specific metrics of soils and climate were better able to explain the abundance of biocrusts. Our demonstration of the presence of biocrusts across the western US suggests that studies on ecosystem function could include these organisms because they are present in all plant communities, maintain arguably stronger associations with climatic variation, are directly associated with soils, and contribute to ecosystem functions that are not solely maintained by vascular plants.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2019.00449","usgsCitation":"Condon, L.A., and Pyke, D.A., 2020, Components and predictors of biological soil crusts vary at the regional vs. plant community scales: Frontiers in Ecology and Evolution, v. 7, 449, 10 p., https://doi.org/10.3389/fevo.2019.00449.","productDescription":"449, 10 p.","ipdsId":"IP-101902","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":458184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00449","text":"Publisher Index Page"},{"id":385005,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Condon, Lea A. 0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":813924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","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":813925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209229,"text":"70209229 - 2020 - Characterization of the genetic structure of four sucker species in the Klamath River. Final Report","interactions":[],"lastModifiedDate":"2020-03-26T06:42:12","indexId":"70209229","displayToPublicDate":"2020-01-08T06:47:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Characterization of the genetic structure of four sucker species in the Klamath River. Final Report","docAbstract":"Four species of suckers (family Catostomidae) inhabit the Klamath River Basin of Oregon and California: Lost River suckers (LRS; Deltistes luxatus), shortnose suckers (SNS; Chasmistes brevirostris), Klamath largescale suckers (KLS; Catostomus snyderi), and Klamath smallscale suckers (KSS; Catostomus rimiculus). All but Klamath smallscale suckers are endemic and restricted to the Klamath River Basin where they occur sympatrically in large lakes and reservoirs, including the Lost River and Klamath Lake subbasins (Figure 1; USFWS 2012).\nPopulation declines, primarily due to loss or degradation of spawning, rearing, and adult habitat, have resulted in Lost River and shortnose suckers being listed as endangered throughout their entire range under the U.S. Endangered Species Act (USFWS 1988).\n\nContinued population declines coupled with failed adult recruitment prompted the USFWS to initiate an assisted rearing program in 2015 as a part of their recovery strategy (Childress et al. 2019). The program was designed to maintain as much genetic diversity as possible while improving recruitment by averting high early life stage mortality (Day et al. 2017). However, while assisted rearing efforts are targeted towards endangered LRS and SNS, species differentiation of larval and juvenile suckers is problematic in the Klamath River Basin. This, in turn, complicates the management of these species as well as the population modeling used to evaluate recovery efforts. Maintaining as much as possible of the genetic resources, or “evolutionary legacy” of a species is a goal common to conservation and endangered species recovery strategies. Inappropriate assumptions regarding species’ evolutionary lineages, and genetic characteristics may lead to the mismanagement of an endangered species through a failure to recognize and appropriately manage species boundaries and genetic population structure.\n\nDespite a considerable amount of research, the partitioning of genetic diversity within and among the four species of suckers in the Klamath River Basin remains unclear. Previously developed genetic markers are effective at differentiating some species, but fail to effectively differentiate all four species of suckers in the basin (Tranah et al. 2001; Wagman 2003; Tranah and May 2006; Hoy and Ostberg 2015; Dowling et al. 2016). Peer-reviewed publications describing the morphological characteristics of (Markle et al. 2005) and genetic relationships\n \namong (Dowling et al. 2016; Tranah and May 2006) Klamath River Basin suckers have not resolved uncertainties regarding the systematic relationships among the four currently recognized taxa. Specifically, genetic and morphological data generally support LRS and KSS as being distinct entities, but genetic evidence does not support a distinction between KLS and SNS. All three publications above refer to unpublished information regarding ecological differences between KLS and SNS as evidence to support the existence of two entities. However, the authors also acknowledge that overlap in morphological characters (Markle et al. 2005) and a lack of genetic differentiation (Dowling et al. 2016; Tranah and May 2006) between KLS and SNS raises the question of their specific identity. This is particularly problematic in the Lost River subbasin, where overlap in morphological characters between KLS and SNS is greatest.\n\nIn our opinion, the basis of the strong genetic similarity between KLS and SNS has not been resolved. Morphological characters mostly support the existence of two distinct species, while genetic characters do not (i.e., genetic divergence between KLS and SNS is less than divergence among populations of each species; (Smith et al. 2015). Some have suggested that introgressive hybridization may have resulted in a lack of genetic differentiation between KLS and SNS and a breakdown of monophyletic species (Dowling et al. 2016; Tranah and May 2006), and that this hybridization may be an important process in","language":"English","publisher":"U.S. Fish and Wildlife Service","collaboration":"Bureau of Reclamation","usgsCitation":"Smith, M., Von Bargen, J., Smith, C.A., Miller, M.A., Rasmussen, J., and Hewitt, D.A., 2020, Characterization of the genetic structure of four sucker species in the Klamath River. Final Report, 32 p.","productDescription":"32 p.","ipdsId":"IP-115877","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":373497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":373490,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/aftc/Reports.cfm"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Klamath River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.695068359375,\n 40.88029480552824\n ],\n [\n -120.9375,\n 40.88029480552824\n ],\n [\n -120.9375,\n 42.83569550641452\n ],\n [\n -123.695068359375,\n 42.83569550641452\n ],\n [\n -123.695068359375,\n 40.88029480552824\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Matt","contributorId":223557,"corporation":false,"usgs":false,"family":"Smith","given":"Matt","email":"","affiliations":[{"id":40741,"text":"USFWS, Abernathy Fish Technology Center, Longview, WA","active":true,"usgs":false}],"preferred":false,"id":785470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Von Bargen, Jennifer","contributorId":223558,"corporation":false,"usgs":false,"family":"Von Bargen","given":"Jennifer","email":"","affiliations":[{"id":40741,"text":"USFWS, Abernathy Fish Technology Center, Longview, WA","active":true,"usgs":false}],"preferred":false,"id":785471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Christian A.","contributorId":200768,"corporation":false,"usgs":false,"family":"Smith","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":785472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Michael A.","contributorId":85920,"corporation":false,"usgs":false,"family":"Miller","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":785473,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rasmussen, Josh","contributorId":223559,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Josh","email":"","affiliations":[{"id":40742,"text":"USFWS, Klamath Falls Fish and Wildlife Office, Klamath Falls, OR","active":true,"usgs":false}],"preferred":false,"id":785474,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hewitt, David A. 0000-0002-5387-0275 dhewitt@usgs.gov","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":3767,"corporation":false,"usgs":false,"family":"Hewitt","given":"David","email":"dhewitt@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":785475,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208607,"text":"70208607 - 2020 - Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States","interactions":[],"lastModifiedDate":"2020-02-21T11:50:49","indexId":"70208607","displayToPublicDate":"2020-01-08T06:45:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States","docAbstract":"This study uses the explores the viability of a proxy model calibration strategy through assessment of the spatiotemporal variability of surface-depression storage and runoff generated with the U.S. Geological Survey’s National Hydrologic Model (NHM) infrastructure for hydrologic response units (HRUs; n=109,951) across the conterminous United States (CONUS). Simulated values for each HRU of daily surface-depression storage (treated as a decimal fraction of total possible volume) and monthly normalized runoff (0 to 1) values were calculated using Spearman’s rho at monthly and annual aggregations. Locations where values are correlated show where previously-developed proxy calibration strategies are likely to be effective. In addition, differences in the correlation for monthly and annual time scale aggregations show which time scale drives surface-depression storage processes in the NHM. Results show overall long-term (annual) correlation is more common than short-term (monthly) correlation over the CONUS; however, summary statistics for eighty-six ecoregions show five with higher ranges of monthly relative to annual Spearman’s rank coefficient values. This landscape-scale analysis shows simulations aggregated to an annual time scale are generally more dominant for the CONUS; however, simulations aggregated to monthly, short-term time scales are more dominant in focused areas where surface-depression storage processes are investigated.","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12826","usgsCitation":"Driscoll, J.M., Hay, L., Vanderhoof, M.K., and Viger, R.J., 2020, Spatiotemporal variability of modeled watershed scale surface-depression storage and runoff for the conterminous United States: Journal of the American Water Resources Association, v. 56, no. 1, p. 16-29, https://doi.org/10.1111/1752-1688.12826.","productDescription":"14 p.","startPage":"16","endPage":"29","ipdsId":"IP-093569","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":458188,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12826","text":"Publisher Index Page"},{"id":372483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n 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Branch","active":true,"usgs":true}],"preferred":true,"id":782704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":782706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central 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,{"id":70208949,"text":"70208949 - 2020 - Using a dense seismic array to determine structure and site effects of the Two Towers earthflow in northern California","interactions":[],"lastModifiedDate":"2020-03-09T06:45:36","indexId":"70208949","displayToPublicDate":"2020-01-08T06:43:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Using a dense seismic array to determine structure and site effects of the Two Towers earthflow in northern California","docAbstract":"We deployed a network of 68 three-component geophones on the slow moving Two\n\tTowers earthflow in northern California. We compute horizontal-to-vertical spectral ratios\n\t(HVSRs) from the ambient seismic field. The HVSRs have two prominent peaks, one near\n\t1.23 Hz and another between 4 and 8 Hz at most stations. The 1.23 Hz resonance is a property of the background noise field and may be due to a velocity contrast at a few hundred\n\tmeters depth. We interpret the higher frequency peaks as being related to slide deposits and invert the spectral ratios for shallow velocity structure using in situ thickness measurements\n\tas a priori constraints on the inversion. The thickness of the shallowest, low-velocity layer\n\tis systematically larger than landslide thicknesses inferred from inclinometer data acquired\n\tsince 2013. Given constraints from field observations and boreholes, the inversion may reflect the thickness of deposits of an older slide that is larger in spatial extent and depth than\n\tthe currently active slide. Because the HVSR peaks measured at Two Towers are caused by shallow slide deposits and represent frequencies that will experience amplification during\n\tearthquakes, the depth of the actively sliding mass may be less relevant for assessing potential slide volume and associated hazard than the thicknesses determined by our inversions.\n\tMore generally, our results underscore the utility of combining both geotechnical measurements and subsurface imaging for landslide characterization and hazard assessment.","language":"English","publisher":"GSW","doi":"10.1785/0220190206","usgsCitation":"Thomas, A.M., Spica, Z., Bodmer, M., Schulz, W.H., and Roering, J., 2020, Using a dense seismic array to determine structure and site effects of the Two Towers earthflow in northern California: Seismological Research Letters, v. 91, no. 2A, p. 913-920, https://doi.org/10.1785/0220190206.","productDescription":"8 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Oregon","active":true,"usgs":false}],"preferred":false,"id":784145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":784146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":784147,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208745,"text":"70208745 - 2020 - Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy","interactions":[],"lastModifiedDate":"2020-02-28T06:31:32","indexId":"70208745","displayToPublicDate":"2020-01-08T06:28:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy","docAbstract":"Modelling spatiotemporal dynamics of snow in forests is challenging, as involved processes are strongly dependent on small-scale canopy properties. In this study, we explore how local canopy structure information can be integrated in a medium-complexity energy-balance snow model to replicate observed snow patterns at very high spatial resolutions. Snow depth distributions simulated with the Flexible Snow Model (FSM2) were tested against extensive experimental data acquired in discontinuous subalpine forest stands in Eastern Switzerland over three winters. While the default canopy implementation in FSM2 fails to capture the observed snow depth variability, performance is considerably improved when local canopy cover fraction and hemispherical sky view fraction are additionally accounted for (30% reduction in RMSE). However, realistic snow depth distribution patterns throughout the season are only achieved if effective temperatures of near and distant canopy elements are discerned, and if a mechanism to mimic preferential deposition of snow in canopy gaps is included. We demonstrate that by diversifying the canopy structure input in order to reflect respective portions of the canopy relevant to different processes, even a simple model based on widely used process parametrizations and canopy metrics can be applied for high-resolution simulations of the sub-canopy snow cover with just a few modifications. The presented approaches could be implemented in commonly used land surface models, allowing upscaling experiments and development of sub-grid parametrizations without necessitating complex high-resolution models.","language":"English","publisher":"Wiley","doi":"10.1029/2019WR026129","usgsCitation":"Mazzotti, G., Essery, R., Moeser, C.D., and Jonas, T., 2020, Resolving small-scale forest snow patterns using an energy-balance snow model with a 1-layer canopy: Water Resources Research, v. 56, no. 1, e2019WR026129, 22 p., https://doi.org/10.1029/2019WR026129.","productDescription":"e2019WR026129, 22 p.","ipdsId":"IP-112070","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":458191,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.research.ed.ac.uk/en/publications/941ef274-b54b-48d0-8263-ae1287bd8584","text":"External Repository"},{"id":372718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[9.59423,47.52506],[9.63293,47.3476],[9.47997,47.10281],[9.93245,46.92073],[10.4427,46.89355],[10.36338,46.48357],[9.92284,46.3149],[9.18288,46.44021],[8.96631,46.03693],[8.48995,46.00515],[8.31663,46.16364],[7.75599,45.82449],[7.27385,45.77695],[6.84359,45.99115],[6.5001,46.42967],[6.02261,46.27299],[6.03739,46.72578],[6.76871,47.28771],[6.73657,47.5418],[7.1922,47.44977],[7.46676,47.62058],[8.3173,47.61358],[8.52261,47.83083],[9.59423,47.52506]]]},\"properties\":{\"name\":\"Switzerland\"}}]}","volume":"56","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzotti, Giulia","contributorId":222821,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Giulia","email":"","affiliations":[{"id":40604,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland and Laboratory of Hydraulics, Hydrology and Glaciology, ETHZ, Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":783256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Essery, Richard","contributorId":222822,"corporation":false,"usgs":false,"family":"Essery","given":"Richard","email":"","affiliations":[{"id":40605,"text":"School of Geosciences, University of Edinburgh, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":783257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moeser, C. David 0000-0003-0154-9110","orcid":"https://orcid.org/0000-0003-0154-9110","contributorId":214563,"corporation":false,"usgs":true,"family":"Moeser","given":"C.","email":"","middleInitial":"David","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jonas, Tobias","contributorId":222823,"corporation":false,"usgs":false,"family":"Jonas","given":"Tobias","email":"","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":783258,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70207996,"text":"70207996 - 2020 - Conservation–Protection of forests for wildlife in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2020-04-09T20:08:15.803338","indexId":"70207996","displayToPublicDate":"2020-01-08T06:26:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Conservation–Protection of forests for wildlife in the Mississippi Alluvial Valley","docAbstract":"The nearly ubiquitous bottomland hardwood forests that historically dominated the Mississippi Alluvial Valley have been greatly reduced in area. In addition, changes in hydrology and forest management have altered the structure and composition of the remaining forests. To ameliorate the detrimental impact of these changes on wildlife, conservation plans have emphasized restoration to increase interior forest habitat, while presuming negligible loss of extant forest in this ecoregion. Without conservation-protection, however, existing forests are subject to conversion to other uses. We assessed the conservation-protection status of land within the Mississippi Alluvial Valley and found that only 10% of total area was protected. Even so, 28% of extant forest was in the current conservation estate. Based on forest patch area, location, and hydrologic influence, we prioritized the attributed need of forest patches for additional conservation-protection. For forest bird conservation, we found 4712 forest patches warranted consideration for conservation-protection but only 109 of these forest patches met our conservation threshold of >2000 ha of core-forest that was >250 m from an edge. Overall, 35% of the area of forest patches considered for conservation-protection was protected within the conservation estate. However, those forest patches identified as most in need of conservation-protection had <10% of their area protected within the current conservation estate.","language":"English","publisher":"MDPI ","doi":"10.3390/f11010075","usgsCitation":"Elliott, A., Mini, A., McKnight, S.K., and Twedt, D.J., 2020, Conservation–Protection of forests for wildlife in the Mississippi Alluvial Valley: Forests, v. 11, no. 1, 75, 14 p., https://doi.org/10.3390/f11010075.","productDescription":"75, 14 p.","ipdsId":"IP-112335","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":458192,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f11010075","text":"Publisher Index Page"},{"id":437174,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90V76SY","text":"USGS data release","linkHelpText":"Forests in the Mississippi Alluvial Valley Lacking Sufficient Conservation Protection"},{"id":371487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.1318359375,\n 37.125286284966805\n ],\n [\n -90.703125,\n 36.527294814546245\n ],\n [\n -91.7138671875,\n 34.95799531086792\n ],\n [\n -92.2412109375,\n 33.211116472416855\n ],\n [\n -92.0654296875,\n 31.840232667909365\n ],\n [\n -92.021484375,\n 30.06909396443887\n ],\n [\n -91.3623046875,\n 28.613459424004414\n ],\n [\n -88.9453125,\n 28.8831596093235\n ],\n [\n -88.9892578125,\n 30.221101852485987\n ],\n [\n -90.65917968749999,\n 30.713503990354965\n ],\n [\n -90.3955078125,\n 33.50475906922609\n ],\n [\n -88.9013671875,\n 36.24427318493909\n ],\n [\n -88.9013671875,\n 36.87962060502676\n ],\n [\n -90.1318359375,\n 37.125286284966805\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott, A. Blaine","contributorId":221728,"corporation":false,"usgs":false,"family":"Elliott","given":"A. Blaine","affiliations":[{"id":40410,"text":"Lower Mississippi Valley Joint Venture","active":true,"usgs":false}],"preferred":false,"id":780077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mini, Anne","contributorId":171716,"corporation":false,"usgs":false,"family":"Mini","given":"Anne","affiliations":[{"id":26934,"text":"Lower Mississippi Valley Joint Venture and American Bird Conservancy, 193 Business Park Drive, Suite E, Ridgeland, MS 39157","active":true,"usgs":false}],"preferred":false,"id":780078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, S. Keith","contributorId":221729,"corporation":false,"usgs":false,"family":"McKnight","given":"S.","email":"","middleInitial":"Keith","affiliations":[{"id":40410,"text":"Lower Mississippi Valley Joint Venture","active":true,"usgs":false}],"preferred":false,"id":780079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Twedt, Daniel J. 0000-0003-1223-5045 dtwedt@usgs.gov","orcid":"https://orcid.org/0000-0003-1223-5045","contributorId":398,"corporation":false,"usgs":true,"family":"Twedt","given":"Daniel","email":"dtwedt@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70208690,"text":"70208690 - 2020 - Acute toxicity of the lampricides TFM and niclosamide: Effects on a vascular plant and a chironomid species","interactions":[],"lastModifiedDate":"2020-02-25T06:38:59","indexId":"70208690","displayToPublicDate":"2020-01-07T19:05:40","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity of the lampricides TFM and niclosamide: Effects on a vascular plant and a chironomid species","docAbstract":"The lampricides 3-trifluoromethyl-4-nitrophenol (TFM) and niclosamide have been used for about 60 years to control sea lamprey (Petromyzon marinus) in the Great Lakes Basin and Lake Champlain. To register these chemicals as pesticides in North America, their environmental effects must be reviewed on a periodic basis. As a part of this effort, toxicity of TFM and niclosamide to duckweed (Lemna gibba), and of niclosamide to aquatic midge (Chironomus tentans), was assessed. Results of these studies suggest that for both lampricides, the no-observable and lowest observable effects concentrations (NOEC and LOEC) exceed expected environmental concentrations, with effects only in the highest concentrations tested and the longest exposure times. Duckweed exposed to TFM indicated 7-day LOECs ≥ 4.88 mg/L for average specific growth rate and yield, with the EC50 > 9.74 mg/L. For duckweed exposed to niclosamide, 7-day LOECs for average specific growth rate and yield ranged from 0.271 to 0.569 mg/L, with the IC50 0.725 mg/L or greater depending on the parameter measured. For midge larvae exposed to niclosamide-dosed sediment, the LOEC values based on survival and growth were 26.2 mg/kg and > 82.1 mg/kg, respectively, and the EC50 based on survival was 49.6 mg/kg. Based on these data, deleterious effects on aquatic plants and benthic invertebrates are unlikely to result from use of TFM and niclosamide for lamprey control, given that the effect concentrations are in excess of the expected environmental concentrations.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.11.007","usgsCitation":"Leak, T., Aufderheide, J., Bergfield, A., and Hubert, T.D., 2020, Acute toxicity of the lampricides TFM and niclosamide: Effects on a vascular plant and a chironomid species: Journal of Great Lakes Research, v. 46, no. 1, p. 180-187, https://doi.org/10.1016/j.jglr.2019.11.007.","productDescription":"8 p.","startPage":"180","endPage":"187","ipdsId":"IP-094759","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":372592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes Basin, Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.5048828125,\n 47.07012182383309\n ],\n [\n -92.6806640625,\n 46.89023157359399\n ],\n [\n -91.845703125,\n 45.336701909968134\n ],\n [\n -90.791015625,\n 42.87596410238256\n ],\n [\n -89.384765625,\n 42.032974332441405\n ],\n [\n -87.36328125,\n 41.178653972331674\n ],\n [\n -86.044921875,\n 41.50857729743935\n ],\n [\n -85.69335937499999,\n 43.13306116240612\n ],\n [\n -84.814453125,\n 43.929549935614595\n ],\n [\n -84.5068359375,\n 42.68243539838623\n ],\n [\n -83.671875,\n 41.47566020027821\n ],\n [\n -82.30957031249999,\n 40.245991504199026\n ],\n [\n -77.607421875,\n 42.16340342422401\n ],\n [\n -74.091796875,\n 43.77109381775651\n ],\n [\n -70.7958984375,\n 44.653024159812\n ],\n [\n -73.95996093749999,\n 46.22545288226939\n ],\n [\n -77.607421875,\n 44.77793589631623\n ],\n [\n -80.244140625,\n 46.6795944656402\n ],\n [\n -83.3642578125,\n 48.22467264956519\n ],\n [\n -86.8798828125,\n 49.439556958940855\n ],\n [\n -89.12109375,\n 49.009050809382046\n ],\n [\n -92.5048828125,\n 47.07012182383309\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leak, Tom","contributorId":222717,"corporation":false,"usgs":false,"family":"Leak","given":"Tom","email":"","affiliations":[{"id":40594,"text":"EAG Laboratories","active":true,"usgs":false}],"preferred":false,"id":783007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aufderheide, John","contributorId":222718,"corporation":false,"usgs":false,"family":"Aufderheide","given":"John","email":"","affiliations":[{"id":40594,"text":"EAG Laboratories","active":true,"usgs":false}],"preferred":false,"id":783008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergfield, Alan","contributorId":222719,"corporation":false,"usgs":false,"family":"Bergfield","given":"Alan","email":"","affiliations":[{"id":40594,"text":"EAG Laboratories","active":true,"usgs":false}],"preferred":false,"id":783009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubert, Terrance D. 0000-0001-9712-1738 thubert@usgs.gov","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":3036,"corporation":false,"usgs":true,"family":"Hubert","given":"Terrance","email":"thubert@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":783006,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215289,"text":"70215289 - 2020 - Biotic interactions help explain variation in elevational range limits of birds among Bornean mountains","interactions":[],"lastModifiedDate":"2020-10-14T22:40:56.836813","indexId":"70215289","displayToPublicDate":"2020-01-07T17:31:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Biotic interactions help explain variation in elevational range limits of birds among Bornean mountains","docAbstract":"Aim
Physiological tolerances and biotic interactions along habitat gradients are thought to influence species occurrence. Distributional differences caused by such forces are particularly noticeable on tropical mountains, where high species turnover along elevational gradients occurs over relatively short distances and elevational distributions of particular species can shift among mountains. Such shifts are interpreted as evidence of the importance of spatial variation in interspecific competition and habitat or climatic gradients. To assess the relative importance of competition and compression of habitat and climatic zones in setting range limits, we examined differences in elevational ranges of forest bird species among four Bornean mountains with distinct features.
Location
Bornean mountains Kinabalu, Mulu, Pueh and Topap Oso.
Taxon
Rain forest bird communities along elevational gradients.
Methods
We surveyed the elevational ranges of rain forest birds on four mountains in Borneo to test which environmental variables—habitat zone compression or presence of likely competitors—best predicted differences in elevational ranges of species among mountains. For this purpose, we used two complementary tests: a comparison of elevational range limits between pairs of mountains, and linear mixed models with naïve occupancy as the response variable.
Results
We found that lowland species occur higher in elevation on two small mountains compared to Mt. Mulu. This result is inconsistent with the expectation that distributions of habitats are elevationally compressed on small mountains, but is consistent with the hypothesis that a reduction in competition (likely diffuse) on short mountains, which largely lack montane specialist species, allows lowland species to occur higher in elevation. The relative influence of competition changes with elevation, and the correlation between lower range limits of montane species and the distribution of their competitors was weaker than in lowland species.
Main conclusions
These findings provide support for the importance of biotic interactions in setting elevational range limits of tropical bird species, although abiotic gradients explain the majority of distribution patterns. Thus, models predicting range shifts under climate change scenarios must include not only climatic variables, as is currently most common, but also information on potentially resulting changes in species interactions, especially for lowland species.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.13784","usgsCitation":"Burner, R., Boyce, A., Bernasconi, D., Styring, A.R., Shakya, S.B., Boer, C., Rahman, M.A., Martin, T.E., and Sheldon, F.H., 2020, Biotic interactions help explain variation in elevational range limits of birds among Bornean mountains: Journal of Biogeography, v. 47, no. 3, p. 760-771, https://doi.org/10.1111/jbi.13784.","productDescription":"12 p.","startPage":"760","endPage":"771","ipdsId":"IP-107210","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":458196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.13784","text":"Publisher Index Page"},{"id":379392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Indonesia, Malaysia","otherGeospatial":"Borneo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 119.17968749999999,\n 5.659718554577286\n ],\n [\n 116.89453125,\n 7.493196470122287\n ],\n [\n 113.5546875,\n 4.609278084409835\n ],\n [\n 111.09374999999999,\n 2.7235830833483856\n ],\n [\n 109.1162109375,\n 1.9771465537125772\n ],\n [\n 108.5888671875,\n 0.17578097424708533\n ],\n [\n 110.0830078125,\n -3.2063329870791315\n ],\n [\n 112.939453125,\n -3.90809888189411\n ],\n [\n 115.224609375,\n -4.258768357307995\n ],\n [\n 116.3232421875,\n -4.039617826768424\n ],\n [\n 118.95996093749999,\n 1.142502403706165\n ],\n [\n 117.7734375,\n 3.2940822283128175\n ],\n [\n 119.61914062499999,\n 5.134714634014467\n ],\n [\n 119.17968749999999,\n 5.659718554577286\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":243138,"corporation":false,"usgs":false,"family":"Burner","given":"Ryan C.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":801602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Andy J.","contributorId":243139,"corporation":false,"usgs":false,"family":"Boyce","given":"Andy J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":801603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bernasconi, David","contributorId":243140,"corporation":false,"usgs":false,"family":"Bernasconi","given":"David","email":"","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":801604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Styring, Alison R.","contributorId":243175,"corporation":false,"usgs":false,"family":"Styring","given":"Alison","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":801653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shakya, Subir B.","contributorId":243141,"corporation":false,"usgs":false,"family":"Shakya","given":"Subir","email":"","middleInitial":"B.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":801605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boer, Chandradewana","contributorId":243142,"corporation":false,"usgs":false,"family":"Boer","given":"Chandradewana","email":"","affiliations":[{"id":48646,"text":"u m","active":true,"usgs":false}],"preferred":false,"id":801606,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rahman, Mustafa Abdul","contributorId":243143,"corporation":false,"usgs":false,"family":"Rahman","given":"Mustafa","email":"","middleInitial":"Abdul","affiliations":[{"id":48647,"text":"college sabah","active":true,"usgs":false}],"preferred":false,"id":801607,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801608,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sheldon, Frederick H.","contributorId":243144,"corporation":false,"usgs":false,"family":"Sheldon","given":"Frederick","email":"","middleInitial":"H.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":801609,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70208125,"text":"70208125 - 2020 - Habitat of the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in San Francisco Bay","interactions":[],"lastModifiedDate":"2020-02-06T11:44:25","indexId":"70208125","displayToPublicDate":"2020-01-07T16:40:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Habitat of the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in San Francisco Bay","title":"Habitat of the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in San Francisco Bay","docAbstract":"Understanding habitat associations is vital for conservation of at‐risk marsh‐endemic wildlife species, particularly those under threat from sea level rise. We modeled environmental and habitat associations of the marsh‐endemic, Federally endangered salt marsh harvest mouse (Reithrodontomys raviventris, RERA) and co‐occurrence with eight associated small mammal species from annual trap data, 1998–2014, in six estuarine marshes in North San Francisco Bay, California. Covariates included microhabitat metrics of elevation and vegetation species and cover; and landscape metrics of latitude–longitude, distance to anthropogenic features, and habitat patch size. The dominant cover was pickleweed (Salicornia pacifica) with 86% mean cover and 37 cm mean height, and bare ground with about 10% mean cover. We tested 38 variants of Bayesian network (BN) models to determine covariates that best account for presence of RERA and of all nine small mammal species. Best models had lowest complexity and highest classification accuracy. Among RERA presence models, three best BN models used covariates of latitude–longitude, distance to paved roads, and habitat patch size, with 0% error of false presence, 20% error of false nonpresence, and 20% overall error. The all‐species presence models suggested that within the pickleweed marsh environment, RERA are mostly habitat generalists. Accounting for presence of other species did not improve prediction of RERA. Habitat attributes compared between RERA and the next most frequently captured species, California vole (Microtus californicus), suggested substantial habitat overlap, with RERA habitat being somewhat higher in marsh elevation, greater in percent cover of the dominant plant species, closer to urban areas, further from agricultural areas, and, perhaps most significant, larger in continuous size of marsh patch. Findings will inform conservation management of the marsh environment for RERA by identifying best microhabitat elements, landscape attributes, and adverse interspecific interactions.
","language":"English","publisher":"Wiley-Blackwell","doi":"10.1002/ece3.5860","usgsCitation":"Marcot, B.G., Woo, I., Thorne, K., Freeman, C.M., and Guntenspergen, G.R., 2020, Habitat of the endangered salt marsh harvest mouse (Reithrodontomys raviventris) in San Francisco Bay: Ecology and Evolution, v. 0, no. 2, p. 662-677, https://doi.org/10.1002/ece3.5860.","productDescription":"16 p.","startPage":"662","endPage":"677","ipdsId":"IP-101159","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":458198,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5860","text":"Publisher Index Page"},{"id":437176,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96Q5D2T","text":"USGS data release","linkHelpText":"Small mammal surveys from northern San Francisco Bay: 1998-2014"},{"id":371662,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.7117919921875,\n 37.82497195707114\n ],\n [\n -121.98669433593749,\n 37.82497195707114\n ],\n [\n -121.98669433593749,\n 38.190704293996504\n ],\n [\n -122.7117919921875,\n 38.190704293996504\n ],\n [\n -122.7117919921875,\n 37.82497195707114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"0","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2020-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":780617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":780619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":780620,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205181,"text":"ofr20191089 - 2020 - Remnant hardwood forest mapping within the Upper Mississippi River floodplain","interactions":[],"lastModifiedDate":"2022-04-21T18:41:17.216501","indexId":"ofr20191089","displayToPublicDate":"2020-01-07T13:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1089","displayTitle":"Remnant Hardwood Forest Mapping within the Upper Mississippi River Floodplain","title":"Remnant hardwood forest mapping within the Upper Mississippi River floodplain","docAbstract":"Executive Summary
The primary objective of the project was to locate previously unknown stands of mast-producing hardwood forest trees in the Upper Mississippi River floodplain using existing information. We located and mapped 399 previously unknown hardwood forest stands within the Mississippi River floodplain area of navigation pools 9, 10, and 11. Using color infrared images in combination with true-color imagery was useful for identifying hardwood forest stands. We recommend our result be refined by visiting the forest stands we identified to evaluate our classification rate and determine which stands are regenerating. In combination with regeneration information, our results can help better inform flood inundation modeling, which will help improve the efficacy of restoration design. Although we had some success using the best available information, to obtain more relevant observations, we recommend acquiring color infrared aerial imagery during the late fall season if providing detailed mapping of forest stands is a management priority. Imagery of this type collected in the fall, when trees may be distinguished by their differing senescence, has the potential to uniquely identify individual species or perhaps even individual trees. Gaining a better understanding of forest diversity and developing conservation strategies to preserve that diversity is timely because remaining aging trees, established before lock-and-dam installation on the Mississippi River, are nearing the end of their life expectancy.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191089","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Hanson, J.L., King, R., Hoy, E.E., 2019, Remnant hardwood forest mapping within the Upper Mississippi River floodplain: U.S. Geological Survey Open-File Report 2019–1089, 10 p., https://doi.org/10.3133/ofr20191089.","productDescription":"Report: vi, 10 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-102264","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":399413,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109582.htm"},{"id":370698,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1089/ofr20191089.pdf","text":"Report","size":"4.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1089"},{"id":370697,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1089/coverthb.jpg"},{"id":370699,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TD9WNW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"FWS McGregor District Mast Hardwood Floodplain Forest Community"}],"country":"United States","state":"Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi floodplain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.42822265625,\n 43.67581809328341\n ],\n [\n -91.5380859375,\n 43.6599240747891\n ],\n [\n -91.49414062499999,\n 43.48481212891603\n ],\n [\n -91.60400390625,\n 43.100982876188546\n ],\n [\n -91.2744140625,\n 42.65012181368022\n ],\n [\n -90.81298828125,\n 42.52069952914966\n ],\n [\n -90.37353515625,\n 42.52069952914966\n ],\n [\n -90.68115234375,\n 42.97250158602597\n ],\n [\n -90.72509765625,\n 43.30919109985686\n ],\n [\n -91.01074218749999,\n 43.61221676817573\n ],\n [\n -91.42822265625,\n 43.67581809328341\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54602
","tableOfContents":"- Acknowledgments
- Executive Summary
- Introduction
- Study Area
- Methods
- Discussion and Conclusions
- Summary
- References Cited
","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-01-07","noUsgsAuthors":false,"publicationDate":"2020-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hanson, Jenny L. 0000-0001-8353-6908 jhanson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-6908","contributorId":461,"corporation":false,"usgs":true,"family":"Hanson","given":"Jenny","email":"jhanson@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":770243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Rich 0000-0001-5462-5303","orcid":"https://orcid.org/0000-0001-5462-5303","contributorId":146426,"corporation":false,"usgs":false,"family":"King","given":"Rich","email":"","affiliations":[],"preferred":false,"id":778775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoy, Erin E. 0000-0002-2853-3242 ehoy@usgs.gov","orcid":"https://orcid.org/0000-0002-2853-3242","contributorId":4523,"corporation":false,"usgs":true,"family":"Hoy","given":"Erin","email":"ehoy@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":770245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70211192,"text":"70211192 - 2020 - Field-based method for assessing duration of infectivity for influenza A viruses in the environment","interactions":[],"lastModifiedDate":"2020-07-16T18:41:56.104549","indexId":"70211192","displayToPublicDate":"2020-01-07T13:27:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2496,"text":"Journal of Virological Methods","active":true,"publicationSubtype":{"id":10}},"title":"Field-based method for assessing duration of infectivity for influenza A viruses in the environment","docAbstract":"Understanding influenza A virus (IAV) persistence in wetlands is limited by a paucity of field studies relating to the maintenance of infectivity over time. The duration of IAV infectivity in water has been assessed under variable laboratory conditions, but results are difficult to translate to more complex field conditions. We tested a field-based method to assess the viability of IAVs in an Alaska wetland during fall and winter which incorporated physical and chemical properties of the waterbody in which samples were held. Filtered pond water was inoculated with avian fecal samples collected from the environment, aliquoted into a series of duplicate sealed vials and submerged back in the wetland for up to 132 days (October 2018–March 2019). Sample aliquots were sequentially recovered and tested for IAVs by rRT-PCR and virus isolation. One sample remained rRT-PCR positive for the duration of the study and virus isolation positive for 118 days. The surrounding water temperature was 1°–6 °C with near neutral pH (6.6–7.3) for the duration of the study. This proof of concept study demonstrates a protocol for testing the persistence of infectious IAV naturally shed from waterfowl under ambient environmental conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jviromet.2020.113818","usgsCitation":"Reeves, A.B., Ramey, A.M., Koch, J.C., Poulson, R., and Stallknecht, D., 2020, Field-based method for assessing duration of infectivity for influenza A viruses in the environment: Journal of Virological Methods, v. 277, 113818, https://doi.org/10.1016/j.jviromet.2020.113818.","productDescription":"113818","ipdsId":"IP-112830","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":458201,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9289940","text":"External Repository"},{"id":437177,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B8XH6E","text":"USGS data release","linkHelpText":"Influenza A Virus Persistence Data from an Urban Wetland in Anchorage, Alaska, 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