Our understanding of the impacts of climate change, sea-level rise (SLR), and freshwater management on the magnitude and variability of carbon fluxes in tidal forested wetlands remains limited. In this study, we applied a process-driven wetland biogeochemistry model, Wetland Carbon Assessment Tool—DeNitrification-DeComposition (WCAT-DNDC) model to explore responses of carbon fluxes in tidal swamp forests to climate change-induced alterations in hydrologic conditions and to predict impacts of planned reintroduction of river flows. We selected twelve sites in three habitats (throughput, relict, degraded) inside the Lake Maurepas swamp forests (Louisiana, USA) to represent various hydrological and salinity regimes. Environmental scenarios included dry, average, and wet conditions, SLR (low and high), and a Mississippi River (MR) diversion. Simulation results showed that the responses of net ecosystem exchange (NEE), net primary productivity (NPP), ecosystem respiration (ER), methane (CH4) and nitrous oxide (N2O) emissions in the Lake Maurepas swamp forests varied substantially among sites. However, the overall net carbon uptake capacity of the Lake Maurepas swamp forests was high (NEE: − 1143 to − 1650 g C m−2 yr−1), suggesting that Lake Maurepas swamp forests are large carbon sinks. The high net carbon uptake capacity could be significantly affected by climate change induced drought, flooding, and SLR with the bi-directional changes (increase or decrease) depending on the direction and magnitude of the hydrologic regime changes. The response of the net carbon uptake capacity to MR diversion is also bi-directional and site-specific, but enhancement of the capacity of NEE of up to − 1957 g C m2 yr−1 is possible, implying that MR diversion into the swamp forests could be beneficial in the context of carbon cycling and carbon sequestration.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11273-026-10111-5","usgsCitation":"Wang, H., Krauss, K.W., Shaffer, G.P., Patton, B., Kroes, D., Noe, G.E., Dai, Z., Dettwiller, L., and Trettin, C.C., 2026, Modeling carbon fluxes in tidal forested wetlands in the Mississippi river deltaic plain under various hydrologic conditions: Implications for river diversions: Wetlands Ecology and Management, v. 34, no. 1, 11, 27 p., https://doi.org/10.1007/s11273-026-10111-5.","productDescription":"11, 27 p.","ipdsId":"IP-180681","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":500188,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500214,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273948/full"},{"id":500215,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273948/70273948.XML"},{"id":500683,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70273948/images"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Maurepas swamp forests","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.21451630425345,\n 30.450162758345343\n ],\n [\n -90.90340771654913,\n 30.450162758345343\n ],\n [\n -90.90340771654913,\n 29.978620193311116\n ],\n [\n -90.21451630425345,\n 29.978620193311116\n ],\n [\n -90.21451630425345,\n 30.450162758345343\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":222377,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":955890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W.","contributorId":366426,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":955891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":366427,"corporation":false,"usgs":false,"family":"Shaffer","given":"Gary","middleInitial":"P.","affiliations":[{"id":28058,"text":"Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":955892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":955893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dai, Zhaohua 0000-0002-0941-8345","orcid":"https://orcid.org/0000-0002-0941-8345","contributorId":290409,"corporation":false,"usgs":false,"family":"Dai","given":"Zhaohua","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":955896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettwiller, Lindsey","contributorId":360880,"corporation":false,"usgs":false,"family":"Dettwiller","given":"Lindsey","affiliations":[{"id":28058,"text":"Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":955897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trettin, Carl C.","contributorId":366432,"corporation":false,"usgs":false,"family":"Trettin","given":"Carl","middleInitial":"C.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":955898,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70267261,"text":"70267261 - 2025 - Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency","interactions":[],"lastModifiedDate":"2025-05-19T14:58:24.230313","indexId":"70267261","displayToPublicDate":"2025-05-15T07:53:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency","docAbstract":"Dryland organisms exhibit varied responses to changes in precipitation, including event size, frequency, and soil moisture duration, influencing carbon uptake and reserve management strategies. This principle, central to the pulse-reserve paradigm, has not been thoroughly evaluated in biological soil crusts (biocrusts), essential primary producers on dryland surfaces. We conducted two experiments to investigate carbon uptake in biocrusts under different precipitation regimes. In the first, we applied a gradient of watering amounts to biocrusts dominated by moss or cyanobacteria, hypothesising distinct pulse-response strategies. The second experiment extended watering treatments over three months, varying pulse size and frequency. Our results revealed distinct carbon uptake patterns: moss crusts exhibited increased CO2 uptake with larger, less frequent watering events, whereas cyanobacteria crusts maintained similar carbon uptake across all event sizes. These findings suggest divergent pulse-response strategies across biocrust types, with implications for modelling dryland carbon dynamics and informing land management under changing precipitation regimes.","language":"English","publisher":"Wiley","doi":"10.1111/ele.70125","usgsCitation":"Young, K., Sala, O.E., Darrouzet-Nardi, A., Tucker, C.L., Finger-Higgens, R.A., Starbuck, M., and Reed, S., 2025, Biocrust mosses and cyanobacteria exhibit distinct carbon uptake responses to variations in precipitation amount and frequency: Ecology Letters, v. 28, no. 5, e70125, 10 p., https://doi.org/10.1111/ele.70125.","productDescription":"e70125, 10 p.","ipdsId":"IP-171245","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":489080,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2566615","text":"External Repository"},{"id":486154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.03847502985644,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 37.01866208836557\n ],\n [\n -109.01970607796514,\n 38.34758364168215\n ],\n [\n -111.03847502985644,\n 38.34758364168215\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":937537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sala, Osvaldo E.","contributorId":139047,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","email":"","middleInitial":"E.","affiliations":[{"id":12629,"text":"Arizona State University, Tempe, AZ (DETAIL TO BE ADDED)","active":true,"usgs":false}],"preferred":false,"id":937538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Darrouzet-Nardi, Anthony adarrouzet-nardi@usgs.gov","contributorId":207292,"corporation":false,"usgs":false,"family":"Darrouzet-Nardi","given":"Anthony","email":"adarrouzet-nardi@usgs.gov","affiliations":[],"preferred":false,"id":937539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Colin L","contributorId":270737,"corporation":false,"usgs":false,"family":"Tucker","given":"Colin","email":"","middleInitial":"L","affiliations":[{"id":56205,"text":"U.S. National Forest Service, Northern Research Station, Houghton, MI 49931","active":true,"usgs":false}],"preferred":false,"id":937540,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937541,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Starbuck, Megan Elyse 0000-0002-1363-6994","orcid":"https://orcid.org/0000-0002-1363-6994","contributorId":355528,"corporation":false,"usgs":true,"family":"Starbuck","given":"Megan Elyse","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937543,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70252750,"text":"70252750 - 2023 - Mangrove habitat persistence and carbon vulnerability associated with increased nutrient loading and sea-level rise at Ding Darling National Wildlife Refuge (Sanibel Island, Florida, USA)","interactions":[],"lastModifiedDate":"2024-04-04T16:55:59.02534","indexId":"70252750","displayToPublicDate":"2023-10-01T11:47:31","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Mangrove habitat persistence and carbon vulnerability associated with increased nutrient loading and sea-level rise at Ding Darling National Wildlife Refuge (Sanibel Island, Florida, USA)","docAbstract":"J.N. “Ding” Darling National Wildlife Refuge (DDNWR) is located on Sanibel Island along the southwestern coast of Florida, USA. Sanibel Island is heavily developed, but DDNWR provides protection for a large mangrove area that supports biodiversity and recreational opportunity. However, nitrogen (N) and phosphorus (P) eutrophication attributed to agriculture discharge along the Caloosahatchee River has affected the area’s aquatic habitat with algal blooms and may be causing untimely degradation of Sanibel’s mangrove forests. We launched a series of studies to understand how additional nutrient loading to the levels expected in the future might affect DDNWR’s mangrove resource. We experimentally fertilized selected mangrove forest areas with N fertilizer (+N; NH4) and P fertilizer (+P; P2O5) for three years, and monitored soil surface elevation change, soil and pneumatophore CO2 fluxes from respiration, mangrove tree sap flow from two species (Avicennia germinans, Rhizophora mangle), and individual tree and stand water use, from which we developed carbon (C) budgets for +N and +P vs. control simulations as applied to DDNWR’s 1112 ha mangrove area. Many of the measured response variables provided hints of subtle changes in response to +P rather than +N, which were compounded when scaled. From this, we found that additional P loading is expected to stimulate CO2 uptake via net ecosystem exchange of C, likely pressing the system beyond metabolic capacity and leading to a projected 41% increase in lateral C export to the estuary. Additional lateral C export is concomitant to a reduction in vertical soil surface elevation with +P. Furthermore, an inability of DDNWR’s mangroves to bury additional P and a release of P-bound ions to lateral export may exacerbate estuarine eutrophication. We also modelled the effect of sea-level rise influences on DDNWR’s mangroves through 2100 using a soil cohort model (WARMER-Mangroves) and found that the mangroves may be resilient to current rates of sea-level rise into the future but may also be susceptible to moderate accelerations. Greater eutrophication could create additional vulnerabilities to mangrove submergence, especially to basin mangroves where P concentrations are high and already reducing soil surface elevations in some mangroves. Our results suggest that amelioration of current P concentrations and avoidance of additional P loading to Sanibel Island’s mangroves are management options to consider.
","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"Krauss, K., Conrad, J.R., Duberstein, J., Ward, E., Drexler, J.Z., Buffington, K., Thorne, K., Benscoter, B.W., Miller, H., Faron, N.T., Merino, S., From, A., Peneva-Reed, E., and Zhu, Z., 2023, Mangrove habitat persistence and carbon vulnerability associated with increased nutrient loading and sea-level rise at Ding Darling National Wildlife Refuge (Sanibel Island, Florida, USA), 46 p.","productDescription":"46 p.","ipdsId":"IP-156801","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":427403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427371,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/science/mangrove-ecosystem-services/"}],"country":"United States","state":"Florida","otherGeospatial":"Ding Darling National Wildlife Refuge, Sanibel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.09257743948284,\n 26.43591715803987\n ],\n [\n -82.04970400948879,\n 26.44673081335216\n ],\n [\n -82.05393096737532,\n 26.472138907162602\n ],\n [\n -82.08170811920239,\n 26.469976734538434\n ],\n [\n -82.09016203497596,\n 26.461327637778552\n ],\n [\n -82.1227699958168,\n 26.475922611484222\n ],\n [\n -82.15718951003726,\n 26.494839266177138\n ],\n [\n -82.17107808595081,\n 26.49916263597524\n ],\n [\n -82.17590889496402,\n 26.515914157596868\n ],\n [\n -82.18315510848416,\n 26.521857658684468\n ],\n [\n -82.18557051299105,\n 26.487272977733056\n ],\n [\n -82.14330093412373,\n 26.455381006749434\n ],\n [\n -82.10163520638315,\n 26.43916136120143\n ],\n [\n -82.09257743948284,\n 26.43591715803987\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Jeremy R.","contributorId":149347,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","email":"","middleInitial":"R.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":898087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":217389,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":898089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":898090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":898091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Benscoter, Brian W.","contributorId":335331,"corporation":false,"usgs":false,"family":"Benscoter","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":40277,"text":"U.S. Department of Energy","active":true,"usgs":false}],"preferred":false,"id":898092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miller, Haley 0000-0002-1745-9526","orcid":"https://orcid.org/0000-0002-1745-9526","contributorId":304983,"corporation":false,"usgs":false,"family":"Miller","given":"Haley","email":"","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":898093,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Faron, Natalie T.","contributorId":312468,"corporation":false,"usgs":false,"family":"Faron","given":"Natalie","email":"","middleInitial":"T.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":898094,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Merino, Sergio 0000-0002-2834-2243 merinos@usgs.gov","orcid":"https://orcid.org/0000-0002-2834-2243","contributorId":3653,"corporation":false,"usgs":true,"family":"Merino","given":"Sergio","email":"merinos@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898095,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":223021,"corporation":false,"usgs":true,"family":"From","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":898096,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Peneva-Reed, Elitsa I. 0000-0002-4570-4701","orcid":"https://orcid.org/0000-0002-4570-4701","contributorId":294531,"corporation":false,"usgs":false,"family":"Peneva-Reed","given":"Elitsa I.","affiliations":[],"preferred":false,"id":898097,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":898098,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70246679,"text":"sir20235042 - 2023 - Selenium hazards in the Salton Sea environment—Summary of current knowledge to inform future wetland management","interactions":[],"lastModifiedDate":"2026-03-06T21:38:07.222047","indexId":"sir20235042","displayToPublicDate":"2023-07-20T14:20:47","publicationYear":"2023","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":"2023-5042","displayTitle":"Selenium Hazards in the Salton Sea Environment—Summary of Current Knowledge to Inform Future Wetland Management","title":"Selenium hazards in the Salton Sea environment—Summary of current knowledge to inform future wetland management","docAbstract":"Quaternary marine and continental shales in the western United States are sources of selenium that can be loaded into the aquatic environment through mining, agricultural, and energy production processes. The mobilization of selenium from shales through agricultural irrigation has been recognized since the 1930s; however, discovery of deformities in birds and other wildlife using agricultural habitats during the 1980s spurred studies to determine the extent and effects of the contamination. Through these early studies, researchers determined that biota in the Salton Sea drainage basin was at risk from legacy selenium contamination in the Colorado River watershed.
The Salton Sea and its surrounding managed and unmanaged wetlands provide vital inland habitat and trophic support for diverse assemblages of resident and migratory wildlife, and understanding regional selenium hazards for these trust species is a priority for many Federal and State agencies. The modern Salton Sea is a shallow, landlocked saline lake in Riverside and Imperial Counties (not shown) of California that is sustained by irrigation return and perennial river inflow. Changes in water transfer agreements under the 2003 Quantification Settlement Agreement (QSA) have resulted in reduced irrigation flow, declining lake levels, and the evolution of unmanaged wetlands in areas where drains and rivers no longer reach the Salton Sea. These wetlands provide additional habitat for some species of concern, but their potential to increase selenium hazards for trust species is largely unknown.
From the 1980s to 2020, efforts to document selenium contamination and effects throughout the region have resulted in a considerable amount of selenium data from the Salton Sea and its surrounding drainage basin; however, no long-term (greater than 20 years), consistent sampling program has been established, and all data have been collected by different entities using a variety of protocols and analytical techniques. This lack of coordination has been previously documented in regional management plans and has led to difficulty in reliably assessing selenium hazards in the Salton Sea environment. This report provides a summary of the available disparate selenium information collected from water, sediment, and biota in the Salton Sea region since the 1980s and to identify data gaps that need to be filled to understand the potential effects of selenium on species of concern, including federally endangered desert pupfish (Cyprinodon macularius) and Yuma Ridgway’s Rail (Rallus obsoletus yumanensis; formerly Yuma Clapper Rail, Rallus longirostris yumanensis).
Available data from the Salton Sea drainage basin show that water from the Colorado River has the lowest selenium concentration of all surface water sources. All other surface water flowing into the Salton Sea has elevated selenium concentrations due to evaporation and evapotranspiration that occurs in agricultural fields and associated water delivery infrastructure or leaching of selenium from irrigated farmland soils. The Salton Sea has lower selenium concentrations because of various biogeochemical processes that recycle selenium into the sediment or volatilize it to the atmosphere; however, these mechanisms are not well defined, and it is not clear if selenium cycling will change in response to possible changes in the oxidation state of the Salton Sea bottom waters as water levels decline. Agricultural drains have the highest average selenium concentrations, but few drains have been sampled since changes in irrigation practices have occurred (due to the 2003 QSA). Groundwater selenium concentrations are variable; some wells south of the Salton Sea have selenium concentrations as high as 300 micrograms per liter (µg/L), whereas selenium concentrations are below detection in other wells. Groundwater and surface-water geothermal discharge zones around the margins of the Salton Sea and in unmanaged wetlands have not been studied in detail, and published selenium measurements are not available for these surface features.
Selenium concentrations in the sediment of the Salton Sea drainage basin are highest in wetland particulate organic matter and the Salton Sea lakebed, indicating that removal of selenium from the water to the sediment has been a primary mechanism for keeping selenium concentrations low in the water column. Sediment selenium concentrations in wetlands are lower than in the Salton Sea but higher than inflowing drains and rivers, indicating the lentic wetland sites also may be important sinks for selenium because of biogeochemical processes. Sediment selenium data have not been collected in agricultural drains since changes in irrigation practices occurred (due to the 2003 QSA), and it is unknown if selenium sequestration from the water column has changed in these systems.
We divided biological data into broad taxonomic categories, including primary producers, invertebrates, herpetofauna, mammals, fishes, and birds to facilitate evaluation of selenium concentrations and spatiotemporal trends observed in the Salton Sea. Overall, selenium concentrations were substantially greater in algae samples compared to all vascular plant samples combined. Median selenium concentrations in several invertebrate taxa (Chironomidae, Formicidae, Corixidae, Corbiculidae and Nereididae, and Decapoda) exceeded the maximum suggested dietary threshold of 3.0–4.0 micrograms per gram (µg/g) dry weight (dw) for predators consuming invertebrates in aquatic food webs. The greatest number of samples were collected from fish, and selenium distributions among species and locations showed that the range for most samples was lower than the U.S. Environmental Protection Agency selenium criterion for aquatic life (8.5 µg/g dw whole body, 11.3 µg/g dw fillets). The median selenium concentrations for whole body fish were below the selenium criterion in most locations, except for bairdiella (Bairdiella icistia) from the Salton Sea and irrigation drains, a few individual tilapia spp. (family Cichlidae, including genera Tilapia, Oreochromis, and their hybrids) from the river and river outlets, and several western mosquitofish (Gambusia affinis) and sailfin molly (Poecilia latipinna) from irrigation drain outlets. For avian samples combined among years and locations, median selenium concentrations in livers from all families except waders and Ibis (family Threskiornithidae) were higher than levels expected to cause selenium toxicosis (10–20 µg/g dw), and all median egg concentrations were above or near 6.0 μg/g dw, which is a conservative threshold value for reproductive impairment.
Most knowledge gaps we identified for water, sediment, and biota were interrelated, and the use of integrated approaches to address knowledge gaps can provide greater insight into the drivers behind selenium hazards. Integrated water, sediment, and biota studies could help identify cost-effective management solutions that serve multiple purposes. A comprehensive analysis of the hydrology, biogeochemistry, and food-web processes in wetlands and other habitats can inform predictive models to identify drivers of selenium bioavailability, uptake from the environment and subsequent trophic transfer, ultimately forming the basis for experimental habitat management manipulations to minimize selenium hazards to wildlife. Furthermore, a comprehensive, long-term sampling and analytical laboratory plan would enable comparison of data among different entities that are sampling at the Salton Sea. Such efforts are well suited to help fill knowledge gaps that preclude understanding of selenium hazards and future management options for biota using Salton Sea habitats, including newly formed wetlands throughout the region.
All data compiled for this report are available in two U.S. Geological Survey data releases: Groover and others (2022) for water and sediment samples and De La Cruz and others (2022) for biological samples. The data releases include all publicly available data for selenium concentrations in water, sediment, and biological samples collected in and around the Salton Sea, including the Coachella and Imperial Valleys. The data releases also include previously unpublished data.
Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Coastal Louisiana is currently experiencing high rates of wetland loss and large-scale ecosystem restoration is being implemented. One of the largest and most novel restoration projects is a controlled sediment diversion, proposed to rebuild and sustain wetlands by diverting sediment- and nutrient-rich water from the Mississippi River. However, the impact of this proposed sediment diversion on the nutrient budget of the receiving basin is largely unknown. A water quality model was developed to investigate the impact of the planned Mid-Barataria Sediment Diversion on the nutrient budget of the Barataria Basin (herein referred to as ‘the Basin’). The model results indicate that the planned diversion will increase TN and TP pools by about 38% and 17%, respectively, even with TN and TP loadings that increase by >300%. Water quality model results suggest that the increase of nutrients in the basin will be mitigated by increased advection transport (i.e., decreased residence time from ~170 days to ~40 days, leading to greater flushing) and increased removal via assimilation, denitrification, and settling within the Basin. Advection transport resulted in higher TN removal in the Basin than other processes, such as uptake or denitrification. Approximately 25% of the additional TN loading and 30% of the additional TP loading were processed within the Basin through the assimilation of phytoplankton and wetland vegetation, denitrification, and burial in the sediment/soils. These nutrient budgets help to better understand how the planned large-scale sediment diversion project may change the future ecological conditions within the estuaries of coastal Louisiana and near-shore northern Gulf of Mexico.
","language":"English","publisher":"MDPI","doi":"10.3390/w15111974","usgsCitation":"Jung, H., Nuttle, W.K., Baustian, M.M., and Carruthers, T., 2023, Influence of increased freshwater inflow on nitrogen and phosphorus budgets in a dynamic subtropical estuary, Barataria Basin, Louisiana: Water, v. 15, no. 11, 1974, 26 p., https://doi.org/10.3390/w15111974.","productDescription":"1974, 26 p.","ipdsId":"IP-147358","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":443414,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15111974","text":"Publisher Index Page"},{"id":417528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Barataria Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.95930658584572,\n 28.576529058181706\n ],\n [\n -89.35817902592156,\n 29.01036697967102\n ],\n [\n -89.24031087691701,\n 29.18888336467873\n ],\n [\n -89.67249408993412,\n 29.421859677181203\n ],\n [\n -90.17539819235454,\n 29.835100651604293\n ],\n [\n -90.3954187371632,\n 29.739625500016345\n ],\n [\n -90.2186165136559,\n 29.182023077646647\n ],\n [\n -89.95930658584572,\n 28.576529058181706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-05-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Jung, Hoonshin","contributorId":305843,"corporation":false,"usgs":false,"family":"Jung","given":"Hoonshin","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":873997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nuttle, William K.","contributorId":189603,"corporation":false,"usgs":false,"family":"Nuttle","given":"William","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":873998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":873999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":874000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237705,"text":"70237705 - 2022 - Conflict of energies: Spatially modeling mule deer caloric expenditure in response to oil and gas development","interactions":[],"lastModifiedDate":"2022-10-31T14:56:21.921244","indexId":"70237705","displayToPublicDate":"2022-09-21T08:23:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Conflict of energies: Spatially modeling mule deer caloric expenditure in response to oil and gas development","docAbstract":"Wildlife avoid human disturbances, including roads and development. Avoidance and displacement of wildlife into less suitable habitat due to human development can affect their energy expenditures and fitness. The heart rate and oxygen uptake of large mammals varies with both natural aspects of their habitat (terrain, climate, predators, etc.) and anthropogenic influence (noise, light, fragmentation, etc.). Although incorporating physiological analyses of energetics can inform the impacts of both development and conservation, management decisions rarely incorporate individuals’ energetic requirements when deciding on locations for potential development.
We aimed to estimate the change in expected energy expenditure, numerically and spatially, for mule deer to traverse a landscape with varying levels of oil and gas development through time.
Using calculations of energy expenditure of mule deer (Odocoileus hemionus) by weight, in relation to physical terrain components, plus avoidance factors for anthropogenic disturbance, we developed a spatiotemporal model of the minimum energy required for mule deer to traverse a landscape. We compared expected energy expenditure across 12 study sites with increasing levels of oil and gas development and over time in our study area, on the northern Colorado Plateau of Utah.
We found that energy expenditure can be increased by development, regardless of terrain, through increased travel distance associated with avoidance behavior. Maximum median energy expenditure to traverse a 1400 ha sample area rose from 1135 to 1935 kilocalories, a 70% increase in energy required of a mule deer. There was a significant relationship between energy expenditure and the size of oil and gas development (p < 0.001), its compactness (p < 0.05), and its ‘thinness’ (p < 0.001), but not terrain ruggedness (p = 0.25).
As the energy costs of movement correlate across multiple species of large mammals, our analysis of the energetic cost, for mule deer, associated with development can serve as a quantitative representative of the impacts of oil and gas development for multiple mammals—including threatened or endangered species. Our bioenergetic cost-distance model provides a means of delineating impediments to efficient movement and can be used to quantify the expected energetic costs of proposed future developments. As wildlife are exposed to increasing anthropogenic stressors which reduce fitness, it is important to make strategic siting decisions to reduce energetic costs imposed by human activities.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-022-01521-w","usgsCitation":"Chambers, S.N., Villarreal, M.L., Duane, O.J., Munson, S.M., Stuber, E.F., Tyree, G., Waller, E.K., and Duniway, M.C., 2022, Conflict of energies: Spatially modeling mule deer caloric expenditure in response to oil and gas development: Landscape Ecology, v. 37, p. 2947-2961, https://doi.org/10.1007/s10980-022-01521-w.","productDescription":"15 p.","startPage":"2947","endPage":"2961","ipdsId":"IP-138879","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":435685,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99JGAYG","text":"USGS data release","linkHelpText":"Maps of mule deer avoidance areas based on density of oil and gas developments, Book Cliffs, Utah"},{"id":408538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"northern Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.753173828125,\n 38.77978137804918\n ],\n [\n -109.072265625,\n 38.77978137804918\n ],\n [\n -109.072265625,\n 40.49709237269567\n ],\n [\n -110.753173828125,\n 40.49709237269567\n ],\n [\n -110.753173828125,\n 38.77978137804918\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","noUsgsAuthors":false,"publicationDate":"2022-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Chambers, Samuel Norton 0000-0002-9840-7989","orcid":"https://orcid.org/0000-0002-9840-7989","contributorId":297110,"corporation":false,"usgs":true,"family":"Chambers","given":"Samuel","email":"","middleInitial":"Norton","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":855075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":855076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duane, Olivia Jane Marie","contributorId":298083,"corporation":false,"usgs":true,"family":"Duane","given":"Olivia","email":"","middleInitial":"Jane Marie","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":855077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":855078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":855079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tyree, Gayle L","contributorId":298085,"corporation":false,"usgs":false,"family":"Tyree","given":"Gayle L","affiliations":[{"id":64492,"text":"Plant and Environmental Sciences Department, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":855080,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waller, Eric K","contributorId":298087,"corporation":false,"usgs":false,"family":"Waller","given":"Eric","email":"","middleInitial":"K","affiliations":[{"id":64493,"text":"Independent USGS contractor","active":true,"usgs":false}],"preferred":false,"id":855081,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":855082,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70232898,"text":"70232898 - 2022 - Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination","interactions":[],"lastModifiedDate":"2022-09-14T15:38:47.959998","indexId":"70232898","displayToPublicDate":"2022-06-21T11:44:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12585,"text":"eLife","active":true,"publicationSubtype":{"id":10}},"title":"Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination","docAbstract":"In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increase the risk of pandemic resurgence in the US in summer and fall 2021. As part of the COVID-19 Scenario Modeling Hub, an ensemble of nine mechanistic models produced 6-month scenario projections for July–December 2021 for the United States. These projections estimated substantial resurgences of COVID-19 across the US resulting from the more transmissible Delta variant, projected to occur across most of the US, coinciding with school and business reopening. The scenarios revealed that reaching higher vaccine coverage in July–December 2021 reduced the size and duration of the projected resurgence substantially, with the expected impacts was largely concentrated in a subset of states with lower vaccination coverage. Despite accurate projection of COVID-19 surges occurring and timing, the magnitude was substantially underestimated 2021 by the models compared with the of the reported cases, hospitalizations, and deaths occurring during July–December, highlighting the continued challenges to predict the evolving COVID-19 pandemic. Vaccination uptake remains critical to limiting transmission and disease, particularly in states with lower vaccination coverage. Higher vaccination goals at the onset of the surge of the new variant were estimated to avert over 1.5 million cases and 21,000 deaths, although may have had even greater impacts, considering the underestimated resurgence magnitude from the model.
","language":"English","publisher":"eLife Sciences Publications, Ltd","doi":"10.7554/eLife.73584","usgsCitation":"Truelove, S., Smith, C.P., Qin, M., Mullany, L., Borchering, R.K., Lessler, J., Shea, K., Howerton, E., Contamin, L., Levander, J., Kerr, J., Hochheiser, H., Kinsey, M., Tallaksen, K., Wilson, S., Shin, L., Rainwater-Lovett, K., Lemaitre, J., Dent, J., Kaminsky, J., Lee, E.C., Perez-Saez, J., Hill, A., Karlen, D., Chinazzi, M., Davis, J., Mu, K., Xiong, X., Pastore y Piontti, A., Vespignani, A., Srivastava, A., Porebski, P., Venkatramanan, S., Adiga, A., Lewis, B., Klahn, B., Outten, J., Orr, M., Harrison, G., Hurt, B., Chen, J., Vullikanti, A., Marathe, M., Hoops, S., Bhattacharya, P., Machi, D., Chen, S., Paul, R., Janies, D., Thill, J., Galanti, M., Yamana, T., Pei, S., Shaman, J.L., Healy, J., Slayton, R.B., Biggerstaff, M., Johansson, M.A., Runge, M.C., and Viboud, C., 2022, Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the 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Parantapa","contributorId":296530,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Parantapa","email":"","affiliations":[],"preferred":false,"id":851749,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Machi, Dustin","contributorId":296531,"corporation":false,"usgs":false,"family":"Machi","given":"Dustin","email":"","affiliations":[],"preferred":false,"id":851750,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Chen, Shi","contributorId":296532,"corporation":false,"usgs":false,"family":"Chen","given":"Shi","email":"","affiliations":[],"preferred":false,"id":851751,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Paul, Rajib","contributorId":296533,"corporation":false,"usgs":false,"family":"Paul","given":"Rajib","email":"","affiliations":[],"preferred":false,"id":851752,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Janies, Daniel","contributorId":69899,"corporation":false,"usgs":true,"family":"Janies","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":851753,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Thill, Jean-Claude","contributorId":296534,"corporation":false,"usgs":false,"family":"Thill","given":"Jean-Claude","email":"","affiliations":[],"preferred":false,"id":851754,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Galanti, Marta","contributorId":296535,"corporation":false,"usgs":false,"family":"Galanti","given":"Marta","email":"","affiliations":[],"preferred":false,"id":851755,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Yamana, Teresa","contributorId":296536,"corporation":false,"usgs":false,"family":"Yamana","given":"Teresa","affiliations":[],"preferred":false,"id":851756,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Pei, Sen","contributorId":296537,"corporation":false,"usgs":false,"family":"Pei","given":"Sen","email":"","affiliations":[],"preferred":false,"id":851757,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Shaman, Jeffrey L.","contributorId":296538,"corporation":false,"usgs":false,"family":"Shaman","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":851758,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Healy, Jessica","contributorId":258133,"corporation":false,"usgs":false,"family":"Healy","given":"Jessica","affiliations":[],"preferred":false,"id":851759,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Slayton, Rachel B.","contributorId":258039,"corporation":false,"usgs":false,"family":"Slayton","given":"Rachel","email":"","middleInitial":"B.","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":851760,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Biggerstaff, Matthew","contributorId":258040,"corporation":false,"usgs":false,"family":"Biggerstaff","given":"Matthew","email":"","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":851761,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Johansson, Michael A","contributorId":258041,"corporation":false,"usgs":false,"family":"Johansson","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":851762,"contributorType":{"id":1,"text":"Authors"},"rank":58},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":846452,"contributorType":{"id":1,"text":"Authors"},"rank":59},{"text":"Viboud, Cecile 0000-0003-3243-4711","orcid":"https://orcid.org/0000-0003-3243-4711","contributorId":258034,"corporation":false,"usgs":false,"family":"Viboud","given":"Cecile","email":"","affiliations":[{"id":52216,"text":"National Institutes of Health Fogarty International Center","active":true,"usgs":false}],"preferred":false,"id":846454,"contributorType":{"id":1,"text":"Authors"},"rank":60}]}} ,{"id":70227528,"text":"70227528 - 2022 - Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes","interactions":[],"lastModifiedDate":"2022-01-25T17:44:15.635817","indexId":"70227528","displayToPublicDate":"2022-01-14T06:36:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"Increasing the uptake of ecological model results in policy decisions to improve biodiversity outcomes","docAbstract":"Models help decision-makers anticipate the consequences of policies for ecosystems and people; for instance, improving our ability to represent interactions between human activities and ecological systems is essential to identify pathways to meet the 2030 Sustainable Development Goals. However, use of modeling outputs in decision-making remains uncommon. We share insights from a multidisciplinary National Socio-Environmental Synthesis Center working group on technical, communication, and process-related factors that facilitate or hamper uptake of model results. We emphasize that it is not simply technical model improvements, but active and iterative stakeholder involvement that can lead to more impactful outcomes. In particular, trust- and relationship-building with decision-makers are key for knowledge-based decision making. In this respect, nurturing knowledge exchange on the interpersonal (e.g., through participatory processes), and institutional level (e.g., through science-policy interfaces across scales), represent promising approaches. To this end, we offer a generalized approach for linking modeling and decision-making.
1. The effects of changing climate and disturbance on mountain forest carbon stocks vary with tree species distributions and over elevational gradients. Warming can increase carbon uptake by stimulating productivity at high elevations but also enhance carbon release by increasing respiration and the frequency, intensity, and size of wildfires.
2. To understand the consequences of climate change for temperate mountain forests, we simulated interactions among climate, wildfire, tree species, and their combined effects on regional carbon stocks in forests of the Greater Yellowstone Ecosystem, USA with the LANDIS‐II landscape change model. Simulations used historical climate and future potential climate represented by downscaled projections from five general circulation models (GCMs) that bracket the range of variability under the representative concentration pathway (RCP) 8.5 emissions scenario.
3. Total ecosystem carbon increased by 67% through 2100 in simulations with historical climate, and by 38 – 69% with GCM climate. Differences in carbon uptake among GCMs resulted primarily from variation in area burned, not productivity. Warming increased productivity by extending the growing season, especially near upper treeline, but did not offset biomass losses to fire. By 2100, simulated area burned increased by 27 – 215% under GCM climate, with the largest increases after 2050. With warming >3 °C in mean annual temperature, the increased frequency of large fires reduced live carbon stocks by 4 – 36% relative to the control, historical climate scenario. However, relative losses in total carbon were delayed under GCMs with large increases in summer precipitation and buffered by carbon retained in soils and the wood of fire‐killed trees. Increasing fire size limited seed dispersal, and reductions in soil moisture limited seedling establishment; both effects will likely constrain long‐term forest regeneration and carbon uptake.
4. Synthesis.Forests in the GYE can maintain a carbon sink through the mid‐century in a warming climate but continued warming may cause the loss of forest area, live aboveground biomass, and ultimately, ecosystem carbon. Future changes in carbon stocks in similar forests throughout western North America will depend on regional thresholds for extensive wildfire and forest regeneration and therefore, changes may occur earlier in drier regions.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.13559","usgsCitation":"Henne, P., Hawbaker, T., Scheller, R.M., Zhao, F.S., He, H.S., Xu, W., and Zhu, Z., 2021, Increased burning in a warming climate reduces carbon uptake in the Greater Yellowstone Ecosystem despite productivity gains: Journal of Ecology, v. 109, no. 3801, p. 1148-1169, https://doi.org/10.1111/1365-2745.13559.","productDescription":"22 p.","startPage":"1148","endPage":"1169","ipdsId":"IP-110024","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":454241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13559","text":"Publisher Index Page"},{"id":436640,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94IA5B3","text":"USGS data release","linkHelpText":"Landscape inputs and simulation output for the LANDIS-II model in the Greater Yellowstone Ecosystem"},{"id":380677,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.32421875,\n 42.48019996901214\n ],\n [\n -108.19335937499999,\n 42.48019996901214\n ],\n [\n -108.19335937499999,\n 45.805828539928356\n ],\n [\n -112.32421875,\n 45.805828539928356\n ],\n [\n -112.32421875,\n 42.48019996901214\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"109","issue":"3801","noUsgsAuthors":false,"publicationDate":"2020-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":805423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheller, Robert M. 0000-0002-7507-4499","orcid":"https://orcid.org/0000-0002-7507-4499","contributorId":245139,"corporation":false,"usgs":false,"family":"Scheller","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":805424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhao, Feng S 0000-0003-4534-933X","orcid":"https://orcid.org/0000-0003-4534-933X","contributorId":245140,"corporation":false,"usgs":false,"family":"Zhao","given":"Feng","email":"","middleInitial":"S","affiliations":[{"id":49091,"text":"Central China Normal University","active":true,"usgs":false}],"preferred":false,"id":805425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"He, Hong S","contributorId":218764,"corporation":false,"usgs":false,"family":"He","given":"Hong","email":"","middleInitial":"S","affiliations":[{"id":39904,"text":"University of Missouri, School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":805426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xu, Wenru","contributorId":245141,"corporation":false,"usgs":false,"family":"Xu","given":"Wenru","affiliations":[{"id":39904,"text":"University of Missouri, School of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":805427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":805428,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70202936,"text":"70202936 - 2019 - Using the value of information to improve conservation decision making","interactions":[],"lastModifiedDate":"2019-04-08T15:25:35","indexId":"70202936","displayToPublicDate":"2019-04-01T13:41:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Using the value of information to improve conservation decision making","docAbstract":"Conservation decisions are challenging, not only because they often involve difficult conflicts among outcomes that people value, but because our understanding of the natural world and our effects on it is fraught with uncertainty. Value of Information (VoI) methods provide an approach for understanding and managing uncertainty from the standpoint of the decision maker. These methods are commonly used in other fields (e.g., economics, public health) and are increasingly used in biodiversity conservation. This decision analytical approach can identify the best management alternative to select where the effectiveness of interventions is uncertain, and can help to decide when to act and when to delay action until after further research. We review the use of VoI in the environmental domain, reflect on the need for greater uptake of VoI, particularly for strategic conservation planning, and suggest promising areas for new research. We also suggest common reporting standards as a means of increasing the leverage of this powerful tool.\n\nThe environmental science, ecology and biodiversity categories of the Web of Knowledge were searched using the terms ‘Value of Information,’ ‘Expected Value of Perfect Information,’ and the abbreviation ‘EVPI.’ Google Scholar was searched with the same terms, and additionally the terms decision and biology, biodiversity conservation, fish, or ecology. We identified 1225 papers from these searches. Included studies were limited to those that show an application of VoI in biodiversity conservation rather than simply describing the method. All examples of use of VOI were summarised regarding the application of VoI, the management objectives, the uncertainties, models used, how the objectives were measured, and the type of VoI.\n\nWhile the use of VoI appears to be on the increase in biodiversity conservation, the reporting of results is highly variable, which can make it difficult to understand the decision context and which uncertainties were considered. Moreover, it was unclear if, and how, the papers informed management and policy interventions, which is why we suggest a range of reporting standards that would aid the use of VoI.\n\nThe use of VoI in conservation settings is at an early stage. There are opportunities for broader applications, not only for species-focussed management problems, but also for setting local or global research priorities for biodiversity conservation, making funding decisions, or designing or improving protected area networks and management. The long-term benefits of applying VoI methods to biodiversity conservation include a more structured and decision-focused allocation of resources to research.","language":"English","publisher":"Wiley","doi":"10.1111/brv.12471","usgsCitation":"Bolam, F.C., Grainger, M.J., Mengerson, K.L., Stewart, G.B., Sutherland, W.J., Runge, M.C., and McGowan, P., 2019, Using the value of information to improve conservation decision making: Biological Reviews, v. 94, no. 2, p. 629-647, https://doi.org/10.1111/brv.12471.","productDescription":"19 p.","startPage":"629","endPage":"647","ipdsId":"IP-092321","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467744,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.repository.cam.ac.uk/handle/1810/286798","text":"External Repository"},{"id":362842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bolam, Friederike C.","contributorId":214679,"corporation":false,"usgs":false,"family":"Bolam","given":"Friederike","email":"","middleInitial":"C.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":760545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grainger, Matthew J.","contributorId":214680,"corporation":false,"usgs":false,"family":"Grainger","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":760546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mengerson, Kerrie L.","contributorId":214681,"corporation":false,"usgs":false,"family":"Mengerson","given":"Kerrie","email":"","middleInitial":"L.","affiliations":[{"id":37600,"text":"Queensland University of Technology","active":true,"usgs":false}],"preferred":false,"id":760547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Gavin B.","contributorId":214682,"corporation":false,"usgs":false,"family":"Stewart","given":"Gavin","email":"","middleInitial":"B.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":760548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sutherland, William J.","contributorId":204319,"corporation":false,"usgs":false,"family":"Sutherland","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":36918,"text":"Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge CB2 3QZ, UK","active":true,"usgs":false}],"preferred":false,"id":760549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":760544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGowan, Philip J. K.","contributorId":214683,"corporation":false,"usgs":false,"family":"McGowan","given":"Philip J. K.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":760550,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197212,"text":"70197212 - 2018 - A biodynamic understanding of dietborne and waterborne Ag uptake from Ag NPs in the sediment-dwelling oligochaete, Tubifex tubifex","interactions":[],"lastModifiedDate":"2018-05-23T10:56:55","indexId":"70197212","displayToPublicDate":"2018-05-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5146,"text":"NanoImpact","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A biodynamic understanding of dietborne and waterborne Ag uptake from Ag NPs in the sediment-dwelling oligochaete, Tubifex tubifex","title":"A biodynamic understanding of dietborne and waterborne Ag uptake from Ag NPs in the sediment-dwelling oligochaete, Tubifex tubifex","docAbstract":"Metal nanoparticles (Me-NPs) are increasingly used in various products, such as inks and cosmetics, enhancing the likelihood of their release into aquatic environments. An understanding of the mechanisms controlling their bioaccumulation and ecotoxicity in aquatic biota will help support environmental risk assessment. Here we characterized unidirectional parameters for uptake and elimination of silver (Ag) in the sediment-dwelling oligochaete Tubifex tubifex after waterborne (0.01–47 nmol Ag/L) and dietborne (0.4–482 nmol Ag/g dw sed.) exposures to Ag NPs and AgNO3, respectively. Worms accumulated Ag from AgNO3more efficiently than from Ag NPs during waterborne exposure. The Ag uptake rate constants from water were 8.2 L/g/d for AgNO3 and 0.34 L/g/d for Ag NPs. Silver accumulated from both forms was efficiently retained in tissues, as no significant loss of Ag was detected after up to 20 days of depuration in clean media. High mortality (~50%) during depuration (i.e. after 17 days) was only observed for worms exposed to waterborne AgNO3 (3 nmol/L). Sediment exposures to both Ag forms resulted in low accumulation, i.e., the uptake rate constants were 0.002 and 0.005 g/g/d for AgNO3 and Ag NPs, respectively. Avoidance was only observed for worms exposed to sediment amended with AgNO3. Incorporation of the estimated rate constants into a biodynamic model predicted that sediment is likely the most important route of uptake for Ag in both forms in ecologically relevant aquatic environments. However, inference of bioavailability from our estimations of Ag assimilation efficiencies (AE) suggests that Ag (AE: 3–12% for AgNO3 and 0.1–0.8% for Ag NPs) is weakly bioavailable from sediment for this species. Thus, Ag amended to sediment as NPs might not pose greater problems than 'conventional' Ag for benthic organisms such as T. tubifex.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.impact.2018.01.002","usgsCitation":"Tangaa, S.R., Winther-Nielsen, M., Selck, H., and Croteau, M.N., 2018, A biodynamic understanding of dietborne and waterborne Ag uptake from Ag NPs in the sediment-dwelling oligochaete, Tubifex tubifex: NanoImpact, v. 11, p. 33-41, https://doi.org/10.1016/j.impact.2018.01.002.","productDescription":"9 p.","startPage":"33","endPage":"41","ipdsId":"IP-087267","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":468737,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.impact.2018.01.002","text":"Publisher Index Page"},{"id":354408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d79e4b092d9651e1b42","contributors":{"authors":[{"text":"Tangaa, Stine Rosendal","contributorId":205159,"corporation":false,"usgs":false,"family":"Tangaa","given":"Stine","email":"","middleInitial":"Rosendal","affiliations":[{"id":37038,"text":"Roskilde University, Dept. of Science and Environment, Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":736242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winther-Nielsen, Margrethe","contributorId":205160,"corporation":false,"usgs":false,"family":"Winther-Nielsen","given":"Margrethe","email":"","affiliations":[{"id":37039,"text":"DHI, Dept. of Environment and Toxicology, Hørsholm, Denmark","active":true,"usgs":false}],"preferred":false,"id":736243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selck, Henriette","contributorId":178783,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","email":"","affiliations":[],"preferred":false,"id":736244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":736241,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196187,"text":"70196187 - 2018 - Functional group, biomass, and climate change effects on ecological drought in semiarid grasslands","interactions":[],"lastModifiedDate":"2020-09-01T14:12:00.758312","indexId":"70196187","displayToPublicDate":"2018-03-23T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Functional group, biomass, and climate change effects on ecological drought in semiarid grasslands","docAbstract":"Water relations in plant communities are influenced both by contrasting functional groups (grasses, shrubs) and by climate change via complex effects on interception, uptake and transpiration. We modelled the effects of functional group replacement and biomass increase, both of which can be outcomes of invasion and vegetation management, and climate change on ecological drought (soil water potential below which photosynthesis stops) in 340 semiarid grassland sites over 30‐year periods. Relative to control vegetation (climate and site‐determined mixes of functional groups), the frequency and duration of drought were increased by shrubs and decreased by annual grasses. The rankings of shrubs, control vegetation, and annual grasses in terms of drought effects were generally consistent in current and future climates, suggesting that current differences among functional groups on drought effects predict future differences. Climate change accompanied by experimentally‐increased biomass (i.e. the effects of invasions that increase community biomass, or management that increases productivity through fertilization or respite from grazing) increased drought frequency and duration, and advanced drought onset. Our results suggest that the replacement of perennial temperate semiarid grasslands by shrubs, or increased biomass, can increase ecological drought both in current and future climates.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004173","usgsCitation":"Wilson, S.D., Schlaepfer, D., Bradford, J.B., Lauenroth, W.K., Duniway, M.C., Hall, S.A., Jamiyansharav, K., Jia, G., Lkhagva, A., Munson, S.M., Pyke, D.A., and Tietjen, B., 2018, Functional group, biomass, and climate change effects on ecological drought in semiarid grasslands: Journal of Geophysical Research G: Biogeosciences, v. 123, no. 3, p. 1072-1085, https://doi.org/10.1002/2017JG004173.","productDescription":"14 p.","startPage":"1072","endPage":"1085","ipdsId":"IP-093452","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":468900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004173","text":"Publisher Index Page"},{"id":352743,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5afee6f8e4b0da30c1bfbff0","contributors":{"authors":[{"text":"Wilson, Scott D.","contributorId":181519,"corporation":false,"usgs":false,"family":"Wilson","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":731572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":731573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":731575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":731576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hall, Sonia A.","contributorId":181518,"corporation":false,"usgs":false,"family":"Hall","given":"Sonia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":731577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jamiyansharav, Khishigbayar","contributorId":181522,"corporation":false,"usgs":false,"family":"Jamiyansharav","given":"Khishigbayar","email":"","affiliations":[],"preferred":false,"id":731578,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jia, Gensuo","contributorId":181520,"corporation":false,"usgs":false,"family":"Jia","given":"Gensuo","email":"","affiliations":[],"preferred":false,"id":731579,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lkhagva, Ariuntsetseg","contributorId":181521,"corporation":false,"usgs":false,"family":"Lkhagva","given":"Ariuntsetseg","email":"","affiliations":[],"preferred":false,"id":731580,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":731581,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":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":731571,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tietjen, Britta","contributorId":181517,"corporation":false,"usgs":false,"family":"Tietjen","given":"Britta","email":"","affiliations":[],"preferred":false,"id":731582,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70045486,"text":"70045486 - 2013 - Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance","interactions":[],"lastModifiedDate":"2013-04-19T14:02:26","indexId":"70045486","displayToPublicDate":"2013-04-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance","docAbstract":"Despite the importance of mangrove ecosystems in the global carbon budget, the relationships between environmental drivers and carbon dynamics in these forests remain poorly understood. This limited understanding is partly a result of the challenges associated with in situ flux studies. Tower-based CO2 eddy covariance (EC) systems are installed in only a few mangrove forests worldwide, and the longest EC record from the Florida Everglades contains less than 9 years of observations. A primary goal of the present study was to develop a methodology to estimate canopy-scale photosynthetic light use efficiency in this forest. These tower-based observations represent a basis for associating CO2 fluxes with canopy light use properties, and thus provide the means for utilizing satellite-based reflectance data for larger scale investigations. We present a model for mangrove canopy light use efficiency utilizing the enhanced green vegetation index (EVI) derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) that is capable of predicting changes in mangrove forest CO2 fluxes caused by a hurricane disturbance and changes in regional environmental conditions, including temperature and salinity. Model parameters are solved for in a Bayesian framework. The model structure requires estimates of ecosystem respiration (RE), and we present the first ever tower-based estimates of mangrove forest RE derived from nighttime CO2 fluxes. Our investigation is also the first to show the effects of salinity on mangrove forest CO2 uptake, which declines 5% per each 10 parts per thousand (ppt) increase in salinity. Light use efficiency in this forest declines with increasing daily photosynthetic active radiation, which is an important departure from the assumption of constant light use efficiency typically applied in satellite-driven models. The model developed here provides a framework for estimating CO2 uptake by these forests from reflectance data and information about environmental conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Copernicus Publications","publisherLocation":"Göttingen, Germany","doi":"10.5194/bg-10-2145-2013","usgsCitation":"Barr, J., Engel, V., Fuentes, J., Fuller, D., and Kwon, H., 2013, Modeling light use efficiency in a subtropical mangrove forest equipped with CO2 eddy covariance: Biogeosciences, v. 10, p. 2145-2158, https://doi.org/10.5194/bg-10-2145-2013.","productDescription":"9 p.","startPage":"2145","endPage":"2158","numberOfPages":"9","ipdsId":"IP-040912","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-10-2145-2013","text":"Publisher Index Page"},{"id":271261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271260,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bg-10-2145-2013"}],"country":"United States","volume":"10","noUsgsAuthors":false,"publicationDate":"2013-03-27","publicationStatus":"PW","scienceBaseUri":"51726790e4b0c173799e79fb","contributors":{"authors":[{"text":"Barr, J.G.","contributorId":101895,"corporation":false,"usgs":true,"family":"Barr","given":"J.G.","email":"","affiliations":[],"preferred":false,"id":477604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, V. 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":107905,"corporation":false,"usgs":true,"family":"Engel","given":"V.","affiliations":[],"preferred":false,"id":477605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes, J.D.","contributorId":8687,"corporation":false,"usgs":true,"family":"Fuentes","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":477601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, D.O.","contributorId":83004,"corporation":false,"usgs":true,"family":"Fuller","given":"D.O.","email":"","affiliations":[],"preferred":false,"id":477603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kwon, H.","contributorId":61317,"corporation":false,"usgs":true,"family":"Kwon","given":"H.","email":"","affiliations":[],"preferred":false,"id":477602,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70003674,"text":"70003674 - 2012 - Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","interactions":[],"lastModifiedDate":"2020-01-11T12:00:43","indexId":"70003674","displayToPublicDate":"2012-06-23T19:24:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach","docAbstract":"In the regulatory context, bioaccumulation assessment is often hampered by substantial data uncertainty as well as by the poorly understood differences often observed between results from laboratory and field bioaccumulation studies. Bioaccumulation is a complex, multifaceted process, which calls for accurate error analysis. Yet, attempts to quantify and compare propagation of error in bioaccumulation metrics across species and chemicals are rare. Here, we quantitatively assessed the combined influence of physicochemical, physiological, ecological, and environmental parameters known to affect bioaccumulation for 4 species and 2 chemicals, to assess whether uncertainty in these factors can explain the observed differences among laboratory and field studies. The organisms evaluated in simulations including mayfly larvae, deposit-feeding polychaetes, yellow perch, and little owl represented a range of ecological conditions and biotransformation capacity. The chemicals, pyrene and the polychlorinated biphenyl congener PCB-153, represented medium and highly hydrophobic chemicals with different susceptibilities to biotransformation. An existing state of the art probabilistic bioaccumulation model was improved by accounting for bioavailability and absorption efficiency limitations, due to the presence of black carbon in sediment, and was used for probabilistic modeling of variability and propagation of error. Results showed that at lower trophic levels (mayfly and polychaete), variability in bioaccumulation was mainly driven by sediment exposure, sediment composition and chemical partitioning to sediment components, which was in turn dominated by the influence of black carbon. At higher trophic levels (yellow perch and the little owl), food web structure (i.e., diet composition and abundance) and chemical concentration in the diet became more important particularly for the most persistent compound, PCB-153. These results suggest that variation in bioaccumulation assessment is reduced most by improved identification of food sources as well as by accounting for the chemical bioavailability in food components. Improvements in the accuracy of aqueous exposure appear to be less relevant when applied to moderate to highly hydrophobic compounds, because this route contributes only marginally to total uptake. The determination of chemical bioavailability and the increase in understanding and qualifying the role of sediment components (black carbon, labile organic matter, and the like) on chemical absorption efficiencies has been identified as a key next steps.","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.217","usgsCitation":"Selck, H., Drouillard, K., Eisenreich, K., Koelmans, A.A., Palmqvist, A., Ruus, A., Salvito, D., Schultz, I., Stewart, A.R., Weisbrod, A., van den Brink, N.W., and van den Heuvel-Greve, M., 2012, Explaining differences between bioaccumulation measurements in laboratory and field data through use of a probabilistic modeling approach: Integrated Environmental Assessment and Management, v. 8, no. 1, p. 42-63, https://doi.org/10.1002/ieam.217.","productDescription":"22 p.","startPage":"42","endPage":"63","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":499906,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/explaining-differences-between-bioaccumulation-measurements-in-la","text":"External Repository"},{"id":257848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-01","publicationStatus":"PW","scienceBaseUri":"505a0e03e4b0c8380cd53280","contributors":{"authors":[{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":348278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drouillard, Ken","contributorId":38001,"corporation":false,"usgs":true,"family":"Drouillard","given":"Ken","affiliations":[],"preferred":false,"id":348280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eisenreich, Karen","contributorId":18221,"corporation":false,"usgs":true,"family":"Eisenreich","given":"Karen","affiliations":[],"preferred":false,"id":348277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koelmans, Albert A.","contributorId":51594,"corporation":false,"usgs":true,"family":"Koelmans","given":"Albert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":348282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmqvist, Annemette","contributorId":53224,"corporation":false,"usgs":true,"family":"Palmqvist","given":"Annemette","email":"","affiliations":[],"preferred":false,"id":348283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruus, Anders","contributorId":36413,"corporation":false,"usgs":true,"family":"Ruus","given":"Anders","email":"","affiliations":[],"preferred":false,"id":348279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salvito, Daniel","contributorId":14687,"corporation":false,"usgs":true,"family":"Salvito","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":348276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schultz, Irv","contributorId":81745,"corporation":false,"usgs":true,"family":"Schultz","given":"Irv","email":"","affiliations":[],"preferred":false,"id":348285,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":348275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weisbrod, Annie","contributorId":107976,"corporation":false,"usgs":true,"family":"Weisbrod","given":"Annie","email":"","affiliations":[],"preferred":false,"id":348286,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"van den Brink, Nico W.","contributorId":39229,"corporation":false,"usgs":true,"family":"van den Brink","given":"Nico","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":348281,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van den Heuvel-Greve, Martine","contributorId":80136,"corporation":false,"usgs":true,"family":"van den Heuvel-Greve","given":"Martine","affiliations":[],"preferred":false,"id":348284,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70036350,"text":"70036350 - 2011 - Biogeochemistry of a temperate forest nitrogen gradient","interactions":[],"lastModifiedDate":"2017-11-29T13:58:43","indexId":"70036350","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemistry of a temperate forest nitrogen gradient","docAbstract":"Wide natural gradients of soil nitrogen (N) can be used to examine fundamental relationships between plant–soil–microbial N cycling and hydrologic N loss, and to test N-saturation theory as a general framework for understanding ecosystem N dynamics. We characterized plant production, N uptake and return in litterfall, soil gross and net N mineralization rates, and hydrologic N losses of nine Douglas-fir (Pseudotsuga menziesii) forests across a wide soil N gradient in the Oregon Coast Range (USA). Surface mineral soil N (0–10 cm) ranged nearly three-fold from 0.29% to 0.78% N, and in contrast to predictions of N-saturation theory, was linearly related to 10-fold variation in net N mineralization, from 8 to 82 kg N·ha−1·yr−1. Net N mineralization was unrelated to soil C:N, soil texture, precipitation, and temperature differences among sites. Net nitrification was negatively related to soil pH, and accounted for <20% of net N mineralization at low-N sites, increasing to 85–100% of net N mineralization at intermediate- and high-N sites. The ratio of net : gross N mineralization and nitrification increased along the gradient, indicating progressive saturation of microbial N demands at high soil N. Aboveground N uptake by plants increased asymptotically with net N mineralization to a peak of 35 kg N·ha−1·yr−1. Aboveground net primary production per unit net N mineralization varied inversely with soil N, suggesting progressive saturation of plant N demands at high soil N. Hydrologic N losses were dominated by dissolved organic N at low-N sites, with increased nitrate loss causing a shift to dominance by nitrate at high-N sites, particularly where net nitrification exceeded plant N demands. With the exception of N mineralization patterns, our results broadly support the application of the N-saturation model developed from studies of anthropogenic N deposition to understand N cycling and saturation of plant and microbial sinks along natural soil N gradients. This convergence of behavior in unpolluted and polluted forest N cycles suggests that where future reductions in deposition to polluted sites do occur, symptoms of N saturation are most likely to persist where soil N content remains elevated.","language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/10-1642.1","issn":"00129658","usgsCitation":"Perakis, S., and Sinkhorn, E.R., 2011, Biogeochemistry of a temperate forest nitrogen gradient: Ecology, v. 92, no. 7, p. 1481-1491, https://doi.org/10.1890/10-1642.1.","productDescription":"11 p.","startPage":"1481","endPage":"1491","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":246282,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"92","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f157e4b0c8380cd4abdd","contributors":{"authors":[{"text":"Perakis, Steven S. 0000-0003-0703-9314","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":16797,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven S.","affiliations":[],"preferred":false,"id":455683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinkhorn, Emily R.","contributorId":7543,"corporation":false,"usgs":true,"family":"Sinkhorn","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":455682,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70035302,"text":"70035302 - 2010 - Environmental controls on drainage behavior of an ephemeral stream","interactions":[],"lastModifiedDate":"2018-04-02T15:24:40","indexId":"70035302","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3478,"text":"Stochastic Environmental Research and Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Environmental controls on drainage behavior of an ephemeral stream","docAbstract":"Streambed drainage was measured at the cessation of 26 ephemeral streamflow events in Rillito Creek, Tucson, Arizona from August 2000 to June 2002 using buried time domain reflectometry (TDR) probes. An unusual drainage response was identified, which was characterized by sharp drainage from saturation to near field capacity at each depth with an increased delay between depths. We simulated the drainage response using a variably saturated numerical flow model representing a two-layer system with a high permeability layer overlying a lower permeability layer. Both the observed data and the numerical simulation show a strong correlation between the drainage velocity and the temperature of the stream water. A linear combination of temperature and the no-flow period preceding flow explained about 90% of the measured variations in drainage velocity. Evaluation of this correlative relationship with the one-dimensional numerical flow model showed that the observed temperature fluctuations could not reproduce the magnitude of variation in the observed drainage velocity. Instead, the model results indicated that flow duration exerts the most control on drainage velocity, with the drainage velocity decreasing nonlinearly with increasing flow duration. These findings suggest flow duration is a primary control of water availability for plant uptake in near surface sediments of an ephemeral stream, an important finding for estimating the ecological risk of natural or engineered changes to streamflow patterns. Correlative analyses of soil moisture data, although easy and widely used, can result in erroneous conclusions of hydrologic cause—effect relationships, and demonstrating the need for joint physically-based numerical modeling and data synthesis for hypothesis testing to support quantitative risk analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stochastic Environmental Research and Risk Assessment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"http://www.springer.com","doi":"10.1007/s00477-010-0398-8","issn":"14363240","usgsCitation":"Blasch, K., Ferre, T., and Vrugt, J., 2010, Environmental controls on drainage behavior of an ephemeral stream: Stochastic Environmental Research and Risk Assessment, v. 24, no. 7, p. 1077-1087, https://doi.org/10.1007/s00477-010-0398-8.","productDescription":"11 p.","startPage":"1077","endPage":"1087","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":243041,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215251,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00477-010-0398-8"}],"country":"United States","state":"Arizona","city":"Tucson","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0594,31.9917 ], [ -111.0594,32.3202 ], [ -110.7082,32.3202 ], [ -110.7082,31.9917 ], [ -111.0594,31.9917 ] ] ] } } ] }","volume":"24","issue":"7","noUsgsAuthors":false,"publicationDate":"2010-04-27","publicationStatus":"PW","scienceBaseUri":"505a09b5e4b0c8380cd5201f","contributors":{"authors":[{"text":"Blasch, K.W.","contributorId":29877,"corporation":false,"usgs":true,"family":"Blasch","given":"K.W.","affiliations":[],"preferred":false,"id":450088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferre, T.P.A.","contributorId":196167,"corporation":false,"usgs":false,"family":"Ferre","given":"T.P.A.","email":"","affiliations":[],"preferred":false,"id":450089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrugt, J.A.","contributorId":77378,"corporation":false,"usgs":true,"family":"Vrugt","given":"J.A.","affiliations":[],"preferred":false,"id":450090,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70036780,"text":"70036780 - 2009 - Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: Implications for climate feedbacks","interactions":[],"lastModifiedDate":"2019-12-10T10:24:10","indexId":"70036780","displayToPublicDate":"2009-01-01T00:00:00","publicationYear":"2009","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Changes in vegetation in northern Alaska under scenarios of climate change, 2003-2100: Implications for climate feedbacks","docAbstract":"The nutrient-rich, shallow waters of San Francisco Bay support high rates of primary production, limited not by nutrients but by light availability and benthic grazing (Alpine and others 1992; Cloern 1982). Phytoplankton blooms are an important food source for upper trophic levels. Consequently animal populations, such as fish, may suffer under conditions of high benthic bivalve grazing. It has been hypothesized that several species of fish are suffering as a result of severe decreases in available phytoplankton since the introduction of Potamocorbula amurensis into San Francisco Bay (Feyrer 2003).
\nThe extent of reduction in phytoplankton biomass by benthic bivalves is dependent on both physical and biological factors in addition to their spatial and temporal variability. Physical factors identified as important include: (1) vertical mixing rates, which are a function of wind velocity, currents, and bottom roughness; (2) suspended sediment concentrations; and (3) phytoplankton settling rates. The biological factors controlling the extent of phytoplankton grazing include animal density and organism size, pumping rate, food type and concentration, metabolic demands, assimilation efficiency, and behaviour (Wildish and Kristmanson 1997).
\nSeveral laboratory studies involving model and live clams have shown that benthic grazers can deplete phytoplankton in the water column (for example, Cole and others 1992). Initially, these studies assumed that the water column remained well mixed above benthic suspension feeders; therefore, parameters measured in the bulk water column were believed to be representative of available particle concentration. For this reason many relationships describing the influence of the bulk flow and bulk seston concentration on benthic grazers physiological processes exist (for example, Levinton 1991).
\nLaboratory measurements using live animals have shown that filtration rates vary with free stream velocity (for example, Levinton 1991). Increases in current speed lead to an increase in filtration rate; however, several studies have shown that filtration may cease at some critical current speed. It has been suggested that resuspension, occurring as a result of high current speeds, may be a factor that negatively affects uptake (Cloern 1987; Levinton 1991). Several mechanisms have been invoked to explain the effects of low speed on growth rates of active suspension feeders. These mechanisms include the formation of a concentration boundary layer and the limiting horizontal flux of seston. It is now accepted that a combination of these factors dictates the growth success of benthic grazers in a particular area.
\nSeveral field studies have shown that concentration boundary layers can form over benthic ecosystems (for example, Frechette and others 1989, Dolmer 2000); however, many of these studies have failed to measure the hydrodynamics needed to calculate benthic grazing rates. Furthermore, calculating benthic grazing rates with vertical measurements at a single point is problematic due to lack of knowledge of the horizontal gradients in seston (Thompson and others, forthcoming).
\nDespite great improvements in our knowledge on the effects of benthic grazers on seston concentrations in water columns, the effects of different hydrodynamic conditions on grazing rates has not been formulated. This makes it difficult to assess the system-wide effect of the benthic ecosystem on phytoplankton concentrations. Furthermore, it affects our ability to predict the potential success of a benthic species, such as the invasive clams Corbicula fluminea and Potamocorbula amurensis. This paper presents the preliminary results of a control volume approach to elucidate the effect of different hydrodynamic conditions on the grazing rates of Corbicula fluminea.
","language":"English","publisher":"Interagency Ecological Program for the San Francisco Estuary","publisherLocation":"","collaboration":"","usgsCitation":"Jones, N., Monismith, S., and Thompson, J.K., 2005, Preliminary results from a shallow water benthic grazing study: Interagency Ecological Program Newsletter, v. 18, no. 1, p. 7-13.","productDescription":"7 p.","startPage":"7","endPage":"13","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":325216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Francisco","city":"San Francisco","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.03314208984374,\n 37.14499280340638\n ],\n [\n -123.03314208984374,\n 38.30933576918588\n ],\n [\n -121.2506103515625,\n 38.30933576918588\n ],\n [\n -121.2506103515625,\n 37.14499280340638\n ],\n [\n -123.03314208984374,\n 37.14499280340638\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57876631e4b0d27deb36e1a6","contributors":{"authors":[{"text":"Jones, N.L.","contributorId":19397,"corporation":false,"usgs":true,"family":"Jones","given":"N.L.","email":"","affiliations":[],"preferred":false,"id":642419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monismith, Stephen G.","contributorId":57228,"corporation":false,"usgs":true,"family":"Monismith","given":"Stephen G.","affiliations":[],"preferred":false,"id":642420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642421,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70029095,"text":"70029095 - 2005 - Ecohydrological control of deep drainage in arid and semiarid regions","interactions":[],"lastModifiedDate":"2018-10-31T10:50:53","indexId":"70029095","displayToPublicDate":"2005-01-01T00:00:00","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Ecohydrological control of deep drainage in arid and semiarid regions","docAbstract":"The amount and spatial distribution of deep drainage (downward movement of water across the bottom of the root zone) and groundwater recharge affect the quantity and quality of increasingly limited groundwater in arid and semiarid regions. We synthesize research from the fields of ecology and hydrology to address the issue of deep drainage in arid and semiarid regions. We start with a recently developed hydrological model that accurately simulates soil water potential and geochemical profiles measured in thick (>50 m), unconsolidated vadose zones. Model results indicate that, since the climate change that marked the onset of the Holocene period 10 000–15 000 years ago, there has been no deep drainage in vegetated interdrainage areas and that continuous, relatively low (<−1 MPa) soil water potentials have been maintained at depths of 2–3 m. A conceptual model consistent with these results proposes that the native, xeric‐shrub‐dominated, plant communities that gained dominance during the Holocene generated and maintained these conditions. We present three lines of ecological evidence that support the conceptual model. First, xeric shrubs have sufficiently deep rooting systems with low extraction limits to generate the modeled conditions. Second, the characteristic deep‐rooted soil–plant systems store sufficient water to effectively buffer deep soil from climatic fluctuations in these dry environments, allowing stable conditions to persist for long periods of time. And third, adaptations resulting in deep, low‐extraction‐limit rooting systems confer significant advantages to xeric shrubs in arid and semiarid environments. We then consider conditions in arid and semiarid regions in which the conceptual model may not apply, leading to the expectation that portions of many arid and semiarid watersheds supply some deep drainage. Further ecohydrologic research is required to elucidate critical climatic and edaphic thresholds, evaluate the role of important physiological processes (such as hydraulic redistribution), and evaluate the role of deep roots in terms of carbon costs, nutrient uptake, and whole‐plant development.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/03-0568","usgsCitation":"Seyfried, M., Schwinning, S., Walvoord, M.A., Pockman, W., Newman, B., Jackson, R., and Phillips, F.M., 2005, Ecohydrological control of deep drainage in arid and semiarid regions: Ecology, v. 86, no. 2, p. 277-287, https://doi.org/10.1890/03-0568.","productDescription":"11 p.","startPage":"277","endPage":"287","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":237685,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a053de4b0c8380cd50d01","contributors":{"authors":[{"text":"Seyfried, M.S.","contributorId":100603,"corporation":false,"usgs":true,"family":"Seyfried","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":421310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwinning, S.","contributorId":41207,"corporation":false,"usgs":true,"family":"Schwinning","given":"S.","email":"","affiliations":[],"preferred":false,"id":421306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366 walvoord@usgs.gov","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":147211,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"walvoord@usgs.gov","middleInitial":"Ann","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":421309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pockman, W. T.","contributorId":57260,"corporation":false,"usgs":false,"family":"Pockman","given":"W. T.","affiliations":[{"id":7164,"text":"Department of Biology, University of New Mexico, Albuquerque, NM 87131 USA","active":true,"usgs":false}],"preferred":false,"id":421308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, B.D.","contributorId":37115,"corporation":false,"usgs":true,"family":"Newman","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":421305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, R.B.","contributorId":42174,"corporation":false,"usgs":true,"family":"Jackson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":421307,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, F. M.","contributorId":24493,"corporation":false,"usgs":true,"family":"Phillips","given":"F.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":421304,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70198695,"text":"70198695 - 2004 - Selenium loading through the Blackfoot River watershed--linking sources to ecosystem","interactions":[],"lastModifiedDate":"2018-08-15T08:25:44","indexId":"70198695","displayToPublicDate":"2004-01-01T08:22:35","publicationYear":"2004","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"16","title":"Selenium loading through the Blackfoot River watershed--linking sources to ecosystem","docAbstract":"The upper Blackfoot River watershed in southeast Idaho receives drainage from 11 of 16 phosphate mines that have extracted ore from the Phosphoria Formation, three of which are presently active. Toxic effects from selenium (Se), including death of livestock and deformity in aquatic birds, were documented locally in areas where phosphatic shales are exposed (Piper et al., 2000; Presser et al., Chapter 11). Current drainage conditions are leading to Se bioaccumulation at concentrations that pose a risk to fish in the Blackfoot River and its tributaries (Hamilton et al., Chapter 18). A gaging station on the Blackfoot River was re-activated in April 2001 to assess hydrologic conditions and concentration, load, and speciation for Se discharges on a watershed scale. The gaging-station data are considered to represent regional drainage conditions in the upper Blackfoot River water- shed because of its location near the outlet of the watershed and directly upstream of the Blackfoot Reservoir.
Watershed discharges for 2001 and 2002 were below minimum hydrologic conditions for the gage as documented by the historical record. Drought emergencies were declared in the area in both 2001 and 2002. Unmonitored diversions for irrigation that routinely take place during the snowmelt season also affected conditions downstream. Annual cycles in Se concentration, load, and selenate (Se6+) reached maxima in the spring during the period of maximum flow at the gaging station. Thirty-seven to 44% of annual flow occurred dur- ing the three-month high-flow season (April through June) in 2001 and 56% of annual flow occurred during that time period in 2002. Extrapolation from historical hydrographs for average and wet years and a limited data set of regional Se concentrations for 2001 and 2002 indicated potential for a 3.6- to 7.4-fold increase in Se loading because of increased seasonal flows in the Blackfoot River watershed.
Supplementation data indicate that: (a) the difference between total Se and dissolved Se, as a measure of the contribution of particulate Se, was < 10% except at the peak of con- centration when total Se was 18% more than dissolved Se; (b) selenite (Se4+) represented less than 10% of the dissolved species during all months of 2001; and (c) dissolved Se was approximately a 50:50 mixture of selenate and organic selenide (operationally defined Se2-) during summer 2001 (June through August).
Ecological risk based on regional Se drainage occurred during both the high- and low-flow seasons. Seventy to 83% of the Se load occurred during the high-flow season. During early May of both years, dissolved-Se concentrations exceeded the criterion for the protection of aquatic life and the ecological threshold of 5 gL1 Se at which sub- stantive risk occurs. During the majority of the three-month high-flow season, dissolved- Se concentrations exceeded the 2 gL1 Se concern level for aquatic biota. The Se concentration in suspended material during high flow in 2002 was within the range of marginal risk to aquatic life (2-4 gg1Se, dry weight). Selenate was the major species during peak flows, with both selenate and organic selenide being major species during relatively low-flow periods in summer. A change in speciation to reduced Se may indicate elevated biotic productivity during summer months and could result in enhanced Se uptake in food webs.
In addition to the magnitude of regional Se release in the Blackfoot River watershed, Se concentrations in individual source drains and waste-rock seeps, and those predicted by experimental column leaching of proposed mining overburden materials, also indicate that drainage options that currently meet existing demands for phosphate mining cause eco- logical risk thresholds to be exceeded. At times, the drinking-water Se standard (50 g L1 Se) and the criterion for hazardous Se waste (1000 L-1 Se) (US Department of the Interior, 1998; US Environmental Protection Agency, 1987) are also exceeded.
For water-years 2001 and 2002, seasonal increased input of water in the mining area resulted in increased Se transport, suggesting a mechanism of contamination that involves a significant Se reservoir. Hence, recognition and monitoring of Se loading to the envi- ronment on a mass balance basis (i.e. inputs, fluxes and storage within environmental media, and outputs) are essential to evaluating how to control Se concentrations within environmentally protective ranges (Presser and Piper, 1998). In areas where release of Se to aquatic systems is anticipated as a product of future expansion of phosphate mining, continuous monitoring of flow and development of seasonal Se loading patterns would help to model watersheds in terms of sources, flow periods, and environmental-Se con- centrations that most influence bioavailability. These data, in turn, could be linked to Se- bioaccumulation models specific to food webs and vulnerable species of the impacted areas to accurately project ecological effects. Gaging at this site on the Blackfoot River is planned to continue in order to establish a long-term (>10 year) record of hydrologic conditions.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of exploration and environmental geochemistry","language":"English","publisher":"Elsevier","doi":"10.1016/S1874-2734(04)80018-4","usgsCitation":"Presser, T.S., Hardy, M., Huebner, M., and Lamothe, P.J., 2004, Selenium loading through the Blackfoot River watershed--linking sources to ecosystem, chap. 16 of Handbook of exploration and environmental geochemistry, v. 8, p. 437-466, https://doi.org/10.1016/S1874-2734(04)80018-4.","productDescription":"30 p.","startPage":"437","endPage":"466","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":356480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Upper Blackfoot River Watershed ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63414001464844,\n 42.5\n ],\n [\n -111,\n 42.5\n ],\n [\n -111,\n 43\n ],\n [\n -111.63414001464844,\n 43\n ],\n [\n -111.63414001464844,\n 42.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98ca93e4b0702d0e846931","contributors":{"editors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":742613,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":742609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardy, Matthew 0000-0003-0144-2970 mwhardy@usgs.gov","orcid":"https://orcid.org/0000-0003-0144-2970","contributorId":168348,"corporation":false,"usgs":true,"family":"Hardy","given":"Matthew","email":"mwhardy@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":742610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huebner, Mark mhuebner@usgs.gov","contributorId":4349,"corporation":false,"usgs":true,"family":"Huebner","given":"Mark","email":"mhuebner@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":742611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamothe, Paul J. plamothe@usgs.gov","contributorId":1298,"corporation":false,"usgs":true,"family":"Lamothe","given":"Paul","email":"plamothe@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":742612,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70027791,"text":"70027791 - 2004 - Acute salt marsh dieback in the Mississippi River deltaic plain: A drought-induced phenomenon?","interactions":[],"lastModifiedDate":"2012-03-12T17:20:50","indexId":"70027791","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Acute salt marsh dieback in the Mississippi River deltaic plain: A drought-induced phenomenon?","docAbstract":"Aims Extensive dieback of salt marsh dominated by the perennial grass Spartina alterniflora occurred throughout the Mississippi River deltaic plain during 2000. More than 100,000 ha were affected, with 43,000 ha severely damaged. The aim of this work was to determine if sudden dieback could have been caused by a coincident drought and to assess the significance of this event with respect to long-term changes in coastal vegetation. Location Multiple dieback sites and reference sites were established along 150 km of shoreline in coastal Louisiana, USA. Methods Aerial and ground surveys were conducted from June 2000 to September 2001 to assess soil conditions and plant mortality and recovery. Results Dieback areas ranged in size from???300 m2-5 km2 in area with 50-100% mortality of plant shoots and rhizomes in affected zones. Co-occurring species such as Avicennia germinans (black mangrove) and Juncus roemerianus (needlegrass rush) were unaffected. Historical records indicate that precipitation, river discharge, and mean sea level were unusually low during the previous year. Although the cause of dieback is currently unknown, plant and soil characteristics were consistent with temporary soil desiccation that may have reduced water availability, increased soil salinity, and/or caused soil acidification (via pyrite oxidation) and increased uptake of toxic metals such as Fe or Al. Plant recovery 15 months after dieback was variable (0-58% live cover), but recovering plants were vigorous and indicated no longlasting effects of the dieback agent. Main conclusions These findings have relevance for global change models of coastal ecosystems that predict vegetation responses based primarily on long-term increases in sea level and submergence of marshes. Our results suggest that large-scale changes in coastal vegetation may occur over a relatively short time span through climatic extremes acting in concert with sea-level fluctuations and pre-existing soil conditions. ?? 2004 Blackwell Publishing Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Ecology and Biogeography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1466-882X.2004.00075.x","issn":"1466822X","usgsCitation":"McKee, K., Mendelssohn, I., and Materne, M., 2004, Acute salt marsh dieback in the Mississippi River deltaic plain: A drought-induced phenomenon?: Global Ecology and Biogeography, v. 13, no. 1, p. 65-73, https://doi.org/10.1111/j.1466-882X.2004.00075.x.","startPage":"65","endPage":"73","numberOfPages":"9","costCenters":[],"links":[{"id":478119,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1466-882x.2004.00075.x","text":"Publisher Index Page"},{"id":210918,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1466-882X.2004.00075.x"},{"id":237998,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2004-01-09","publicationStatus":"PW","scienceBaseUri":"5059e6d6e4b0c8380cd47671","contributors":{"authors":[{"text":"McKee, K.L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":77113,"corporation":false,"usgs":true,"family":"McKee","given":"K.L.","affiliations":[],"preferred":false,"id":415233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mendelssohn, I.A.","contributorId":24317,"corporation":false,"usgs":true,"family":"Mendelssohn","given":"I.A.","affiliations":[],"preferred":false,"id":415231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Materne, M.D.","contributorId":60432,"corporation":false,"usgs":true,"family":"Materne","given":"M.D.","affiliations":[],"preferred":false,"id":415232,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":1007888,"text":"1007888 - 2000 - Root growth and function of three Mojave Desert grasses in response to elevated atmospheric CO2 concentration","interactions":[],"lastModifiedDate":"2016-09-30T11:39:44","indexId":"1007888","displayToPublicDate":"2000-01-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"Root growth and function of three Mojave Desert grasses in response to elevated atmospheric CO2 concentration","docAbstract":"Root growth and physiological responses to elevated CO2 were investigated for three important Mojave Desert grasses: the C3 perennial Achnatherum hymenoides, the C4 perennial Pleuraphis rigida and the C3 annual Bromus madritensis ssp. rubens. Seeds of each species were grown at ambient (360 μl l−1) or elevated (1000 μl l−1) CO2 in a glasshouse and harvested at three phenological stages: vegetative, anthesis and seed fill. Because P. rigida did not flower during the course of this study, harvests for this species represent three vegetative stages. Primary productivity was increased in both C3 grasses in response to elevated CO2 (40 and 19% for A. hymenoides and B. rubens, respectively), but root biomass increased only in the C3 perennial grass. Neither above-ground nor below-ground biomass of the C4 perennial grass was significantly affected by the CO2 treatment. Elevated CO2 did not significantly affect root surface area for any species. Total plant nitrogen was also not statistically different between CO2treatments for any species, indicating no enhanced uptake of N under elevated CO2. Physiological uptake capacities for NO3 and NH4 were not affected by the CO2 treatment during the second harvest; measurements were not made for the first harvest. However, at the third harvest uptake capacity was significantly decreased in response to elevated CO2 for at least one N form in each species. NO3 uptake rates were lower in A. hymenoides and P. rigida, and NH4 uptake rates were lower in B. rubens at elevated CO2. Nitrogen uptake on a whole root-system basis (NO3+NH4uptake capacity × root biomass) was influenced positively by elevated CO2 only for A. hymenoidesafter anthesis. These results suggest that elevated CO2 may result in a competitive advantage forA. hymenoides relative to species that do not increase root-system N uptake capacity. Root respiration measurements normalized to 20 °C were not significantly affected by the CO2treatment. However, specific root respiration was significantly correlated with either root C∶N ratio or root water content when all data per species were included within a simple regression model. The results of this study provide little evidence for up-regulation of root physiology in response to elevated CO2 and indicate that root biomass responses to CO2 are species-specific.
","language":"English","publisher":"Wiley","doi":"10.1046/j.1469-8137.2000.00576.x","usgsCitation":"Yoder, C., Vivin, P., DeFalco, L., Seemann, J., and Nowak, R., 2000, Root growth and function of three Mojave Desert grasses in response to elevated atmospheric CO2 concentration: New Phytologist, v. 145, no. 2, p. 245-256, https://doi.org/10.1046/j.1469-8137.2000.00576.x.","productDescription":"12 p.","startPage":"245","endPage":"256","numberOfPages":"12","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":479260,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1046/j.1469-8137.2000.00576.x","text":"Publisher Index Page"},{"id":131656,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"2","noUsgsAuthors":false,"publicationDate":"2001-12-25","publicationStatus":"PW","scienceBaseUri":"4f4e4aafe4b07f02db66cc35","contributors":{"authors":[{"text":"Yoder, C.K.","contributorId":37286,"corporation":false,"usgs":true,"family":"Yoder","given":"C.K.","email":"","affiliations":[],"preferred":false,"id":316217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivin, P.","contributorId":67056,"corporation":false,"usgs":true,"family":"Vivin","given":"P.","email":"","affiliations":[],"preferred":false,"id":316220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFalco, L.A.","contributorId":46032,"corporation":false,"usgs":true,"family":"DeFalco","given":"L.A.","affiliations":[],"preferred":false,"id":316219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seemann, J.R.","contributorId":43310,"corporation":false,"usgs":true,"family":"Seemann","given":"J.R.","affiliations":[],"preferred":false,"id":316218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, R.S.","contributorId":104857,"corporation":false,"usgs":true,"family":"Nowak","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":316221,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}