{"pageNumber":"640","pageRowStart":"15975","pageSize":"25","recordCount":184644,"records":[{"id":70206443,"text":"sir20195126 - 2020 - Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011","interactions":[],"lastModifiedDate":"2022-04-25T19:23:41.910347","indexId":"sir20195126","displayToPublicDate":"2020-03-09T11:14:43","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5126","displayTitle":"Quantification of Trace-Element Loading in the Upper Tenmile Creek Drainage Basin near Rimini, Montana, September 2011","title":"Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011","docAbstract":"The principle sources of trace elements entering upper Tenmile Creek, Montana, during September 2011, four trace metals and the metalloid arsenic, were identified and quantified by combining and analyzing streamflow data determined from tracer injection with trace-element concentrations and related water-quality data determined from synoptic sampling. The study reach was along upper Tenmile Creek, beginning downstream from the city of Helena’s diversion and extending 5,020 feet downstream. Results from the 2011 study, completed by the U.S. Geological Survey in cooperation with the Montana Department of Environmental Quality, were compared to results from a similar study conducted in 1998 to assess the effectiveness of mine reclamation and remediation work to reduce trace-element loading to upper Tenmile Creek, which has been ongoing throughout the drainage basin.
Main-stem concentrations of most trace elements analyzed were generally greater in 1998 than in 2011. However, the State of Montana human-health criteria for total-recoverable cadmium and arsenic were exceeded in parts of upper Tenmile Creek, and concentrations of cadmium and zinc exceeded the acute aquatic-life criteria at all main-stem sites during both studies. Total-recoverable copper concentrations observed in 2011 exceeded the chronic aquatic-life criterion upstream from the Lee Mountain adit, whereas, in 1998, all sites exceeded the acute aquatic-life criteria.
Direct comparison of loads from the 1998 and 2011 tracer studies were complicated by the differences in hydrologic conditions. Streamflow in 1998 was about 10 percent of the 2011 streamflow. The Lee Mountain Mine and Susie Lode adit were identified as major contributors of trace elements to upper Tenmile Creek in both studies. However, trace-element loading from the Lee Mountain Mine area was substantially reduced between 1998 and 2011. Total-recoverable loads of all trace elements showed substantial loss in 1998 but increased in 2011 downstream from the Susie Lode adit to the end of the study reach. This reach was one of the primary sources of trace-element loading to upper Tenmile Creek in 2011. This difference indicated that the streambed may act as a sink or a source for trace elements, depending on hydrologic conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195126","collaboration":"Prepared in cooperation with the Montana Department of Environmental Quality","usgsCitation":"Cleasby, T., and Eldridge, S.L.C., 2020, Quantification of trace element loading in the upper Tenmile Creek drainage basin near Rimini, Montana, September 2011: U.S. Geological Survey Scientific Investigations Report 2019–5126, 40 p., https://doi.org/10.3133/sir20195126.","productDescription":"Report: vii, 40 p.; Dataset","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-043897","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":399607,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109755.htm"},{"id":372808,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"National Water Information System database","linkHelpText":"– USGS water data for the Nation"},{"id":372807,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5126/sir20195126.pdf","text":"Report","size":"6.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5126"},{"id":372806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5126/coverthb.jpg"}],"country":"United States","state":"Montana","county":"Lewis and Clark County","city":"Rimini","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.2533,\n 46.4808\n ],\n [\n -112.2444,\n 46.4808\n ],\n [\n -112.2444,\n 46.5008\n ],\n [\n -112.2533,\n 46.5008\n ],\n [\n -112.2533,\n 46.4808\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Methods
- Quality Assurance/Quality Control
- Quantification of Trace-Element Loading
- Summary and Conclusions
- References Cited
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cleasby, Tom 0000-0003-0694-1541 tcleasby@usgs.gov","orcid":"https://orcid.org/0000-0003-0694-1541","contributorId":1137,"corporation":false,"usgs":true,"family":"Cleasby","given":"Tom","email":"tcleasby@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":false,"id":774563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":4981,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":774564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212483,"text":"70212483 - 2020 - A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales","interactions":[],"lastModifiedDate":"2020-08-17T14:59:53.151452","indexId":"70212483","displayToPublicDate":"2020-03-09T09:55:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"A modeling workflow that balances automation and human intervention to inform invasive plant management decisions at multiple spatial scales","docAbstract":"Predictions of habitat suitability for invasive plant species can guide risk assessments at regional and national scales and inform early detection and rapid-response strategies at local scales. We present a general approach to invasive species modeling and mapping that meets objectives at multiple scales. Our methodology is designed to balance trade-offs between developing highly customized models for few species versus fitting non-specific and generic models for numerous species. We developed a national library of environmental variables known to physiologically limit plant distributions and relied on human input based on natural history knowledge to further narrow the variable set for each species before developing habitat suitability models. To ensure efficiency, we used largely automated modeling approaches and human input only at key junctures. We explore and present uncertainty by using two alternative sources of background samples, including five statistical algorithms, and constructing model ensembles. We demonstrate the use and efficiency of the Software for Assisted Habitat Modeling [SAHM 2.1.2], a package in VisTrails, which performs the majority of the modeling analyses. Our workflow includes solicitation of expert feedback on model outputs such as spatial prediction results and variable response curves, and iterative improvement based on new data availability and directed field validation of initial model results. We highlight the utility of the models for decision-making at regional and local scales with case studies of two plant species that invade natural areas: fountain grass (Pennisetum setaceum) and goutweed (Aegopodium podagraria). By balancing model automation with human intervention, we can efficiently provide land managers with mapped predicted distributions for multiple invasive species to inform decisions across spatial scales.
Barrier islands, such as Dauphin Island, Alabama, provide numerous invaluable ecosystem services including storm damage reduction and erosion control to the mainland, habitat for fish and wildlife, carbon sequestration in marshes, water catchment and purification, recreation, and tourism. These islands are dynamic environments that are gradually shaped by currents, waves, and tides under quiescent conditions yet can evolve in the time scale of hours to days during hurricanes and other extreme storms. The ecosystems associated with these islands also face numerous other hazards, including accelerated sea-level rise, oil spills, and anthropogenic stressors.
Hurricane Katrina in 2005 and the Deepwater Horizon oil spill in 2010 are two major events that have affected habitats and natural resources on Dauphin Island, Ala. The latter event prompted a cooperative effort between the U.S. Geological Survey and the U.S. Army Corps of Engineers to investigate viable, sustainable restoration measures that reduce degradation and enhance the natural resources of Dauphin Island, Ala. In collaboration with the State of Alabama and the National Fish and Wildlife Foundation, the overarching goal of the Alabama Barrier Island Restoration Feasibility Assessment project was to document baseline conditions and forecast potential conditions under varying sea-level change and storm scenarios for a no-action alternative along with a variety of restoration measures including beach and dune restoration, marsh and back-barrier restoration, and placement of sand in the littoral zone. The modeling component of this project used decadal hydrodynamic geomorphic, water quality, and habitat modeling to better understand how the various restoration measures may influence the habitat composition, sustainability, and resiliency of Dauphin Island under potential future conditions, benchmarked against the no-action case.
The report covers the habitat modeling efforts associated with the Alabama Barrier Island Restoration Feasibility Assessment project. For various potential future island configurations for Dauphin Island, we predicted coverage of habitat types (for example, beach, dune, intertidal marsh, and woody vegetation) using a spatially explicit habitat model based on landscape-position information (for example, elevation and distance from shore) extracted from the hydrodynamic geomorphic outputs. Similarly, we forecasted habitat suitability for oysters and seagrass using habitat suitability index models. Another component of the Alabama Barrier Island Restoration Feasibility Assessment project, presented separately, integrates these habitat model results into a structured decision-making framework that accounts for competing objectives. Collectively, this information provides insights to natural resource managers and planners on how a restoration measure may maintain or impede natural coastal processes and provide information critical for making future-focused decisions regarding barrier island restoration.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201003","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and in collaboration with the State of Alabama and the National Fish and Wildlife Foundation","usgsCitation":"Enwright, N.M., Wang, H., Dalyander, P.S., and Godsey, E., eds., 2020, Predicting barrier island habitats and oyster and seagrass habitat suitability for various restoration measures and future conditions for Dauphin Island, Alabama: U.S. Geological Survey Open-File Report 2020–1003, 99 p., https://doi.org/10.3133/ofr20201003.","productDescription":"Report: x, 99 p.; 3 Data Releases","numberOfPages":"114","onlineOnly":"Y","ipdsId":"IP-113342","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":372971,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1003/ofr20201003.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1003"},{"id":372973,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O30XMZ","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Oyster habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island"},{"id":399449,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109756.htm"},{"id":372974,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B32VTE","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Seagrass habitat suitability modeling for the Alabama Barrier Island restoration assessment at Dauphin Island"},{"id":372972,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PK0EH0","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island"},{"id":372970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1003/coverthb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.341064453125,\n 30.166500980766052\n ],\n [\n -88.0389404296875,\n 30.166500980766052\n ],\n [\n -88.0389404296875,\n 30.311245603935003\n ],\n [\n -88.341064453125,\n 30.311245603935003\n ],\n [\n -88.341064453125,\n 30.166500980766052\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
","tableOfContents":"- Acknowledgments
- Executive Summary
- Chapter A. Landscape-Position-Based Habitat Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island
- Chapter B. Oyster Habitat Suitability Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island
- Chapter C. Seagrass Habitat Suitability Modeling for the Alabama Barrier Island Restoration Feasibility Assessment at Dauphin Island
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-03-09","noUsgsAuthors":false,"publicationDate":"2020-03-09","publicationStatus":"PW","contributors":{"editors":[{"text":"Enwright, Nicholas M. 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":202150,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":784073,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":215073,"corporation":false,"usgs":false,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":784074,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872 sdalyander@usgs.gov","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":141015,"corporation":false,"usgs":true,"family":"Dalyander","given":"P.","email":"sdalyander@usgs.gov","middleInitial":"Soupy","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":784075,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Godsey, Elizabeth 0000-0003-4621-7857","orcid":"https://orcid.org/0000-0003-4621-7857","contributorId":222094,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","email":"","affiliations":[{"id":34200,"text":"Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":784076,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70228339,"text":"70228339 - 2020 - Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data","interactions":[],"lastModifiedDate":"2022-02-09T18:32:50.128954","indexId":"70228339","displayToPublicDate":"2020-03-07T12:29:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data","docAbstract":"The inclusion of passive interrogation antenna (PIA) detection data has promise to increase precision of population abundance estimates (![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq1.gif\")
). However, encounter probabilities are often higher for PIAs than for physical capture. If the difference is not accounted for, ![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq2.gif\")
may be biased. Using simulations, we estimated the magnitude of bias resulting from mixed capture and detection probabilities and evaluated potential solutions for removing the bias for closed capture models. Mixing physical capture and PIA detections (pdet) resulted in negative biases in ![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq3.gif\")
. However, using an individual covariate to model differences removed bias and improved precision. From a case study of fish making spawning migrations across a stream-wide PIA (pdet ≤ 0.9), the coefficient of variation (CV) of ![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq4.gif\")
declined 39%–82% when PIA data were included, and there was a dramatic reduction in time to detect a significant change in ![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq5.gif\")
. For a second case study, with modest pdet (≤0.2) using smaller PIAs, CV (![\"\"](\"https://cdnsciencepub.com/cms/10.1139/cjfas-2019-0326/asset/images/cjfas-2019-0326ieq6.gif\")
) declined 4%–18%. Our method is applicable for estimating abundance for any situation where data are collected with methods having different capture–detection probabilities.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2019-0326","usgsCitation":"Conner, M.M., Budy, P., Wilkison, R.A., Mills, M., Speas, D., Mackinnon, P.D., and Mark C. Mckinstry, 2020, Estimating population abundance with a mixture of physical capture and passive PIT tag antenna detection data: Canadian Journal of Fisheries and Aquatic Sciences, v. 77, no. 7, p. 1163-1171, https://doi.org/10.1139/cjfas-2019-0326.","productDescription":"9 p.","startPage":"1163","endPage":"1171","ipdsId":"IP-110596","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2019-0326","text":"Publisher Index Page"},{"id":395707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conner, Mary M.","contributorId":275216,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","email":"","middleInitial":"M.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":833837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkison, Richard A.","contributorId":275217,"corporation":false,"usgs":false,"family":"Wilkison","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":56749,"text":"ipc","active":true,"usgs":false}],"preferred":false,"id":833838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mills, Michael","contributorId":275218,"corporation":false,"usgs":false,"family":"Mills","given":"Michael","email":"","affiliations":[{"id":56750,"text":"uwc","active":true,"usgs":false}],"preferred":false,"id":833839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speas, David","contributorId":275219,"corporation":false,"usgs":false,"family":"Speas","given":"David","email":"","affiliations":[{"id":56751,"text":"ubr","active":true,"usgs":false}],"preferred":false,"id":833840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mackinnon, Peter D.","contributorId":275220,"corporation":false,"usgs":false,"family":"Mackinnon","given":"Peter","email":"","middleInitial":"D.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":833841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mark C. Mckinstry","contributorId":275221,"corporation":false,"usgs":false,"family":"Mark C. Mckinstry","affiliations":[{"id":56751,"text":"ubr","active":true,"usgs":false}],"preferred":false,"id":833842,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70209001,"text":"70209001 - 2020 - Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife","interactions":[],"lastModifiedDate":"2020-03-10T19:28:47","indexId":"70209001","displayToPublicDate":"2020-03-06T19:21:58","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife","docAbstract":"Human activity influences wildlife. However, the ecological and conservation significances of these influences are difficult to predict and depend on their population‐level consequences. This difficulty arises partly because of information gaps, and partly because the data on stressors are usually collected in a count‐based manner (e.g., number of dead animals) that is difficult to translate into rate‐based estimates important to infer population‐level consequences (e.g., changes in mortality or population growth rates). However, ongoing methodological developments can provide information to make this transition. Here, we synthesize tools from multiple fields of study to propose an overarching, spatially explicit framework to assess population‐level consequences of anthropogenic stressors on terrestrial wildlife. A key component of this process is using ecological information from affected animals to upscale from count‐based field data on individuals to rate‐based demographic inference. The five steps to this framework are (1) framing the problem to identify species, populations, and assessment parameters; (2) field‐based measurement of the effect of the stressor on individuals; (3) characterizing the location and size of the populations of interest; (4) demographic modeling for those populations; and (5) assessing the significance of stressor‐induced changes in demographic rates. The tools required for each of these steps are well developed, and some have been used in conjunction with each other, but the entire group has not previously been unified together as we do in this framework. We detail these steps and then illustrate their application for two species affected by different anthropogenic stressors. In our examples, we use stable hydrogen isotope data to infer a catchment area describing the geographic origins of affected individuals, as the basis to estimate population size for that area. These examples reveal unexpectedly greater potential risks from stressors for the more common and widely distributed species. This work illustrates key strengths of the framework but also important areas for subsequent theoretical and technical development to make it still more broadly applicable.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3046","usgsCitation":"Katzner, T., Braham, M.A., Conkling, T., Diffendorfer, J., Duerr, A.E., Loss, S., Nelson, D.M., Vander Zanden, H.B., and Yee, J.L., 2020, Assessing population-level consequences of anthropogenic stressors for terrestrial wildlife: Ecosphere, v. 11, no. 3, e03046, 23 p., https://doi.org/10.1002/ecs2.3046.","productDescription":"e03046, 23 p.","ipdsId":"IP-108403","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":457460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3046","text":"Publisher Index Page"},{"id":373085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Guatemala, Haiti, Honduras, Jamaica, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.89453125,\n 17.97873309555617\n ],\n [\n -75.76171875,\n 21.779905342529645\n ],\n [\n -81.5625,\n 30.751277776257812\n ],\n [\n -74.53125,\n 35.17380831799959\n ],\n [\n -71.3671875,\n 39.90973623453719\n ],\n [\n -58.35937499999999,\n 45.460130637921004\n ],\n [\n -51.67968749999999,\n 46.6795944656402\n ],\n [\n -55.8984375,\n 53.74871079689897\n ],\n [\n -63.45703124999999,\n 58.81374171570782\n ],\n [\n -78.22265625,\n 52.696361078274485\n ],\n [\n -80.15625,\n 51.069016659603896\n ],\n [\n -82.265625,\n 53.64463782485651\n ],\n [\n -99.66796875,\n 58.35563036280964\n ],\n [\n -118.30078125,\n 65.58572002329473\n ],\n [\n -132.71484375,\n 69.09993967425089\n ],\n [\n -140.2734375,\n 68.84766505841037\n ],\n [\n -142.3828125,\n 65.36683689226321\n ],\n [\n -156.97265625,\n 65.5129625532949\n ],\n [\n -164.1796875,\n 65.2198939361321\n ],\n [\n -160.3125,\n 59.085738569819505\n ],\n [\n -150.99609375,\n 58.07787626787517\n ],\n [\n -145.8984375,\n 59.88893689676585\n ],\n [\n -134.296875,\n 56.26776108757582\n ],\n [\n -132.71484375,\n 52.3755991766591\n ],\n [\n -127.08984375000001,\n 49.724479188712984\n ],\n [\n -125.859375,\n 46.558860303117164\n ],\n [\n -125.33203125,\n 39.50404070558415\n ],\n [\n -118.47656249999999,\n 30.600093873550072\n ],\n [\n -109.51171875,\n 21.289374355860424\n ],\n [\n -95.2734375,\n 14.774882506516272\n ],\n [\n -86.8359375,\n 12.554563528593656\n ],\n [\n -84.375,\n 15.284185114076433\n ],\n [\n -71.89453125,\n 17.97873309555617\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":784469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braham, Melissa A.","contributorId":199740,"corporation":false,"usgs":false,"family":"Braham","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":34303,"text":"West Virginia University, Department of Geology & Geography","active":true,"usgs":false}],"preferred":false,"id":784470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conkling, Tara 0000-0003-1926-8106","orcid":"https://orcid.org/0000-0003-1926-8106","contributorId":217915,"corporation":false,"usgs":true,"family":"Conkling","given":"Tara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":784471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":784472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duerr, Adam E.","contributorId":190590,"corporation":false,"usgs":false,"family":"Duerr","given":"Adam","email":"","middleInitial":"E.","affiliations":[{"id":16210,"text":"Division of Forestry and Natural Resources, West Virginia University","active":true,"usgs":false}],"preferred":false,"id":784473,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":784474,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, David M.","contributorId":175098,"corporation":false,"usgs":false,"family":"Nelson","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":13479,"text":"University of Maryland Center for Environmental Science, Appalachian Laboratory, 301 Braddock Road, Frostburg, Maryland","active":true,"usgs":false}],"preferred":false,"id":784476,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":784475,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":784477,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70209050,"text":"70209050 - 2020 - Climate change can drive marine diseases","interactions":[],"lastModifiedDate":"2020-06-02T23:49:13.289424","indexId":"70209050","displayToPublicDate":"2020-03-06T18:46:46","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Climate change can drive marine diseases","docAbstract":"As an ultimate driver of marine ecosystem processes, climate change is expected to influence proximate disease drivers in marine systems. The observable effects of climate change, including changes in temperature, hypoxia, CO2 accumulation, precipitation, and storm and cyclone frequencies and intensities, may directly act as proximate drivers of marine disease, especially in poikilotherms. These climate-driven changes are expected to result in the active and passive movement of pathogens and hosts into previously naïve geographical areas, thereby disrupting the long-evolved, stable host–pathogen relationships. Additionally, large-scale ecological changes stemming from climate change are expected to impact pathogen virulence and host susceptibilities. These real and anticipated changes present evolving challenges for resource managers who are charged with managing stochastic marine diseases in a constantly changing environment.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine disease ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/oso/9780198821632.003.0005","usgsCitation":"Burge, C.A., and Hershberger, P., 2020, Climate change can drive marine diseases, chap. 5 of Marine disease ecology, p. 83-94, https://doi.org/10.1093/oso/9780198821632.003.0005.","productDescription":"12 p.","startPage":"83","endPage":"94","ipdsId":"IP-105723","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Burge, Colleen A","contributorId":223231,"corporation":false,"usgs":false,"family":"Burge","given":"Colleen","email":"","middleInitial":"A","affiliations":[{"id":40689,"text":"Burge Lab of Aquatic Animal Health, Institute of Marine and Environmental Technology","active":true,"usgs":false}],"preferred":false,"id":784629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hershberger, Paul 0000-0002-2261-7760 phershberger@usgs.gov","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":150816,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","email":"phershberger@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":784630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227752,"text":"70227752 - 2020 - A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin","interactions":[],"lastModifiedDate":"2022-04-15T16:17:24.763904","indexId":"70227752","displayToPublicDate":"2020-03-06T11:02:45","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9366,"text":"CCAST Case Study on Actionable Science","active":true,"publicationSubtype":{"id":1}},"title":"A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin","docAbstract":"Management of water resources in the transboundary Rio Grande/Río Bravo Basin (the Basin) presents challenges for state and Federal entities in the United States and Mexico making management decisions on shared water resources. Damming, channelization, water availability, and allocation are governed by water rights and water-sharing agreements. Data and information sharing are important aspects of transboundary cooperation, but differences in format, content, spatial and temporal resolution, and language hinder collaboration. In addition, data on the kinds and geographic distribution of water governance and management institutions across the Basin have not been consistently documented. Existing data disparities parallel the hydrological and social fragmentation of the Basin.
Seeking to underscore the interdependence between social and environmental processes in the Basin, anthropologists and modelers collaborated to develop a socio-environmental geodatabase. This geodatabase is a first step in modeling the social components of decision making and their connectivity to environmental processes across the Basin. The geodatabase is available in an open-access domain and contains geospatial data related to water and land governance, hydrology, water use and hydraulic infrastructure, socioeconomics, and the biophysical environment necessary to advance the understanding of basin dynamics. Having these data documented and compiled in a central location serves as a resource to help decision makers better understand upstream and downstream social-environmental characteristics. This knowledge is useful for developing sustainable water management policies in a region where water resources are increasingly under pressure from climatic, environmental, and human-related changes.
","language":"English","publisher":"Collaborative Conservation and Adaptation Strategy Toolbox (CCAST)","usgsCitation":"Villa, J., 2020, A socio-environmental geodatabase for integrative research in the transboundary Rio Grande/Río Bravo basin: CCAST Case Study on Actionable Science, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-123961","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":398832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395033,"type":{"id":15,"text":"Index Page"},"url":"https://arcg.is/0bava9"}],"country":"Mexico, United States","state":"Chihuahua, New Mexico, Texas","otherGeospatial":"Rio Grande/Río Bravo basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.12493896484374,\n 31.421631960419596\n ],\n [\n -105.90545654296875,\n 31.421631960419596\n ],\n [\n -105.90545654296875,\n 32.58384932565662\n ],\n [\n -107.12493896484374,\n 32.58384932565662\n ],\n [\n -107.12493896484374,\n 31.421631960419596\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Villa, Jennifer 0000-0002-4774-7166","orcid":"https://orcid.org/0000-0002-4774-7166","contributorId":245824,"corporation":false,"usgs":true,"family":"Villa","given":"Jennifer","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":832043,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70209737,"text":"70209737 - 2020 - An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress","interactions":[],"lastModifiedDate":"2020-09-10T19:49:15.238944","indexId":"70209737","displayToPublicDate":"2020-03-06T10:05:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress","docAbstract":"The moment magnitude 7.2 El Mayor−Cucapah (EMC) earthquake of 2010 in northern Baja California, Mexico produced a cascading rupture that propagated through a geometrically diverse network of intersecting faults. These faults have been exhumed from depths of 6−10 km since the late Miocene based on low-temperature thermochronology, synkinematic alteration, and deformational fabrics. Coseismic slip of 1−6 m of the EMC event was accommodated by fault zones that displayed the full spectrum of architectural styles, from simple narrow fault zones (<100 m in width) that have a single high-strain core, to complex wide fault zones (>100 m in width) that have multiple anastomosing high-strain cores. As fault zone complexity and width increase the full spectrum of observed widths (20−200 m), coseismic slip becomes more broadly distributed on a greater number of scarps that form wider arrays. Thus, the infinitesimal slip of the surface rupture of a single earthquake strongly replicates many of the fabric elements that were developed during the long-term history of slip on the faults at deeper levels of the seismogenic crust. We find that factors such as protolith, normal stress, and displacement, which control gouge production in laboratory experiments, also affect the architectural complexity of natural faults. Fault zones developed in phyllosilicate-rich metasedimentary gneiss are generally wider and more complex than those developed in quartzo-feldspathic granitoid rocks. We hypothesize that the overall weakness and low strength contrast of faults developed in phyllosilicate rich host rocks leads to strain hardening and formation of broad, multi-stranded fault zones. Fault orientation also strongly affects fault zone complexity, which we find to increase with decreasing fault dip. We attribute this to the higher resolved normal stresses on gently dipping faults assuming a uniform stress field compatible with this extensional tectonic setting. The conditions that permit slip on misoriented surfaces with high normal stress should also produce failure of more optimally oriented slip systems in the fault zone, promoting complex branching and development of multiple high-strain cores. Overall, we find that fault zone architecture need not be strongly affected by differences in the amount of cumulative slip and instead is more strongly controlled by protolith and relative normal stress.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35308.1","usgsCitation":"Fletcher, J., Teran, O., Rockwell, T., Oskin, M.E., Hudnut, K.W., Spelz, R., Lacan, P., Dorsey, M., Ostermijer, G., Mitchell, T.M., Akciz, S., Hernandez-Flores, A.P., Hinojosa-Corona, A., Pena-Villa, I., and Lynch, D.K., 2020, An analysis of the factors that control fault zone architecture and the importance of fault orientation relative to regional stress: GSA Bulletin, v. 132, no. 9-10, p. 2084-2104, https://doi.org/10.1130/B35308.1.","productDescription":"21 p.","startPage":"2084","endPage":"2104","ipdsId":"IP-104624","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b35308.1","text":"Publisher Index Page"},{"id":374221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.68603515624999,\n 31.348945815579977\n ],\n [\n -114.78515624999999,\n 31.348945815579977\n ],\n [\n -114.78515624999999,\n 32.26855544621476\n ],\n [\n -115.68603515624999,\n 32.26855544621476\n ],\n [\n -115.68603515624999,\n 31.348945815579977\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2020-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Fletcher, John","contributorId":224315,"corporation":false,"usgs":false,"family":"Fletcher","given":"John","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":787741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teran, Orlando","contributorId":173905,"corporation":false,"usgs":false,"family":"Teran","given":"Orlando","affiliations":[{"id":17735,"text":"CICESE, Mexico","active":true,"usgs":false}],"preferred":false,"id":787742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rockwell, Tom 0000-0001-5319-6447","orcid":"https://orcid.org/0000-0001-5319-6447","contributorId":224316,"corporation":false,"usgs":false,"family":"Rockwell","given":"Tom","email":"","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":787743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":787744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":787745,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spelz, Ronald","contributorId":173906,"corporation":false,"usgs":false,"family":"Spelz","given":"Ronald","email":"","affiliations":[{"id":27319,"text":"UABC","active":true,"usgs":false}],"preferred":false,"id":787746,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lacan, Pierre","contributorId":224317,"corporation":false,"usgs":false,"family":"Lacan","given":"Pierre","email":"","affiliations":[{"id":16152,"text":"UNAM","active":true,"usgs":false}],"preferred":false,"id":787747,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dorsey, Mathew","contributorId":224318,"corporation":false,"usgs":false,"family":"Dorsey","given":"Mathew","email":"","affiliations":[{"id":5088,"text":"SDSU","active":true,"usgs":false}],"preferred":false,"id":787748,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ostermijer, Giles","contributorId":224319,"corporation":false,"usgs":false,"family":"Ostermijer","given":"Giles","email":"","affiliations":[{"id":40858,"text":"Univ. College, London","active":true,"usgs":false}],"preferred":false,"id":787749,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mitchell, Thomas M.","contributorId":102774,"corporation":false,"usgs":false,"family":"Mitchell","given":"Thomas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":787750,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Akciz, Sinan","contributorId":173907,"corporation":false,"usgs":false,"family":"Akciz","given":"Sinan","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":787751,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hernandez-Flores, Ana Paula","contributorId":173908,"corporation":false,"usgs":false,"family":"Hernandez-Flores","given":"Ana","email":"","middleInitial":"Paula","affiliations":[{"id":17735,"text":"CICESE, Mexico","active":true,"usgs":false}],"preferred":false,"id":787752,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hinojosa-Corona, Alejandro","contributorId":224327,"corporation":false,"usgs":false,"family":"Hinojosa-Corona","given":"Alejandro","email":"","affiliations":[],"preferred":false,"id":787753,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Pena-Villa, Ivan","contributorId":224322,"corporation":false,"usgs":false,"family":"Pena-Villa","given":"Ivan","email":"","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":787755,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Lynch, David K.","contributorId":88600,"corporation":false,"usgs":true,"family":"Lynch","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":787756,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70212501,"text":"70212501 - 2020 - Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone","interactions":[],"lastModifiedDate":"2020-08-18T14:24:18.557686","indexId":"70212501","displayToPublicDate":"2020-03-06T09:19:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone","docAbstract":"The New Madrid seismic zone has been the source of multiple major (M ~7.0–7.5) earthquakes in the past 2 ka, yet the surface expression of recent deformation remains ambiguous. Crowleys Ridge, a linear ridge trending north‐south for 300+ km through the Mississippi Embayment, has been interpreted as either a fault‐bounded uplift or a nontectonic erosional remnant. New and previously published seismic reflection and shallow resistivity data show discontinuities at the ridge margins in Plio‐Pleistocene strata, yet the timing of most recent faulting and the lateral extent of these faults remain unknown. To assess Pleistocene‐to‐recent tectonic activity of Crowleys Ridge, we perform landscape‐scale geomorphic analyses, such as relief, slope, hypsometry, and drainage basin shape, on a 10‐m digital elevation model (DEM). North‐to‐south variations in geomorphic indices indicate Pleistocene‐to‐recent tectonic uplift of the southern ridge. Moreover, mapping on a <1‐m lidar‐derived DEM reveals scarps on late Pleistocene geomorphic surfaces. The scarps are primarily located along the southern ridge, trend parallel to the ridge margin discontinuously for 0.1–1 km, and vertically offset <56 ka surfaces 0.4 m with up to 6 m of tilting. These landscape‐scale patterns and scarps, integrated with discontinuities in the seismic reflection and resistivity data, provide evidence of low‐rate (<0.2 mm/year) late Quaternary tectonic activity along the southern segment of Crowleys Ridge. The interpretations agree with recent tectonic models suggesting southern Crowleys Ridge is a compressional step over in a right‐lateral fault system within the Reelfoot Rift.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019TC005746","usgsCitation":"Thompson Jobe, J., Gold, R.D., Briggs, R.W., Williams, R., Stephenson, W.J., Delano, J.E., Shah, A.K., and Minsley, B.J., 2020, Evidence for late Quaternary deformation along Crowley's Ridge, New Madrid seismic zone: Tectonics, v. 39, e2019TC005746, 30 p., https://doi.org/10.1029/2019TC005746.","productDescription":"e2019TC005746, 30 p.","ipdsId":"IP-114068","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":437069,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TFRP5D","text":"USGS data release","linkHelpText":"Digital datasets documenting subsurface data locations, topographic metrics, fault scarp mapping, and revised fault network for Crowley's Ridge, New Madrid Seismic Zone"},{"id":377600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Missouri, Tennessee","otherGeospatial":"Crowley's Ridge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.724853515625,\n 34.551811369170494\n ],\n [\n -87.989501953125,\n 34.551811369170494\n ],\n [\n -87.989501953125,\n 37.57070524233116\n ],\n [\n -91.724853515625,\n 37.57070524233116\n ],\n [\n -91.724853515625,\n 34.551811369170494\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2020-04-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson Jobe, Jessica 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":225113,"corporation":false,"usgs":false,"family":"Thompson Jobe","given":"Jessica","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":796600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":139002,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Robert 0000-0002-2973-8493 rawilliams@usgs.gov","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":140741,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796604,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime E. 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":210604,"corporation":false,"usgs":true,"family":"Delano","given":"Jaime","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":796605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":796606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":796607,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70209827,"text":"70209827 - 2020 - Disease can shape marine ecosystems","interactions":[],"lastModifiedDate":"2020-06-04T17:38:13.96276","indexId":"70209827","displayToPublicDate":"2020-03-06T09:12:30","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Disease can shape marine ecosystems","docAbstract":"This chapter reviews how marine ecosystems respond to parasites. Evidence from several marine ecosystems shows that parasites can wield control over ecosystem structure, function, and dynamics by regulating host density and phenotype. Like predators, parasites can generate or modify trophic cascades, regulate important foundational species and ecosystem engineers, and mediate species coexistence by affecting competitive outcomes. Sometimes the parasites have clear positive impacts within ecosystems, such as increasing species diversity or maintaining ecosystem stability. Other times, parasites may have destabilizing effects that signal an ecosystem out of balance. But it is now clear that some (but not all) parasites can have strong and, at times, predictable effects, and should thus be incorporated into food web and ecosystem models.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine disease ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/oso/9780198821632.003.0003","collaboration":"NPS","usgsCitation":"Morton, J.P., Silliman, B.R., and Lafferty, K.D., 2020, Disease can shape marine ecosystems, chap. 3 of Marine disease ecology, p. 61-70, https://doi.org/10.1093/oso/9780198821632.003.0003.","productDescription":"10 p.","startPage":"61","endPage":"70","ipdsId":"IP-104758","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":375351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Joseph P","contributorId":224405,"corporation":false,"usgs":false,"family":"Morton","given":"Joseph","email":"","middleInitial":"P","affiliations":[],"preferred":false,"id":788193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silliman, Brian R","contributorId":221797,"corporation":false,"usgs":false,"family":"Silliman","given":"Brian","email":"","middleInitial":"R","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":788194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788195,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70209816,"text":"70209816 - 2020 - Parasites in marine food webs","interactions":[],"lastModifiedDate":"2020-06-04T17:36:38.254087","indexId":"70209816","displayToPublicDate":"2020-03-06T08:54:24","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Parasites in marine food webs","docAbstract":"Parasites have important and unique impacts on marine food webs. By infecting taxa across all trophic levels, parasites affect both bottom-up and top-down processes in marine systems. When host densities are high enough, parasites can regulate or even decimate their populations, causing regime shifts in marine systems. As consumers and resources, parasites are enmeshed in food webs in ways that are different from free-living species. Their unique lifestyle renders parasites more susceptible to perturbations than their free-living hosts. As a result, parasites serve as useful indicators of ecosystem integrity. A theory for how food webs affect parasites will help us better understand why a particular infectious disease has become problematic, give insight into how restoration might reduce a costly marine disease, or let us use parasites as indicators to follow changes in food-web complexity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Marine disease ecology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/oso/9780198821632.003.0002","usgsCitation":"McLaughlin, J.P., Morton, D.N., and Lafferty, K.D., 2020, Parasites in marine food webs, chap. 2 of Marine disease ecology, p. 45-60, https://doi.org/10.1093/oso/9780198821632.003.0002.","productDescription":"16 p.","startPage":"45","endPage":"60","ipdsId":"IP-097848","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":375353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2020-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"McLaughlin, John P. 0000-0002-8756-2123","orcid":"https://orcid.org/0000-0002-8756-2123","contributorId":203516,"corporation":false,"usgs":false,"family":"McLaughlin","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":788144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Dana N.","contributorId":224397,"corporation":false,"usgs":false,"family":"Morton","given":"Dana","email":"","middleInitial":"N.","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":788145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":788146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212831,"text":"70212831 - 2020 - Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance","interactions":[],"lastModifiedDate":"2020-08-31T13:42:02.129691","indexId":"70212831","displayToPublicDate":"2020-03-06T08:40:51","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance","docAbstract":"Tropical forests represent <15% of Earths terrestrial surface yet support >50% of the planets species and play a disproportionately large role in determining climate due to the vast amounts of carbon they store and exchange with the atmosphere. Currently, disturbance patterns in tropical ecosystems are changing due to factors such as increased land use pressure and an occurrence of hurricanes. At the same time, these regions are expected to experience unprecedented warming before 2100. Despite the importance of these ecosystems for forecasting the global consequences of multiple stressors, our understanding of how projected changes in climate and disturbance will affect the biogeochemical cycling of tropical forests remains in its infancy. Until now, no studies to our knowledge have evaluated forest recovery following hurricane disturbance within the context of concurrent climatic change. Here, we present soil biogeochemical results from a tropical forest field warming experiment in Puerto Rico where, a year after experimental warming began, Hurricanes Irma and Mara greatly altered the forest, allowing a unique opportunity to explore the interacting effects of hurricane disturbance and warming. We tracked post-hurricane forest recovery for a year without warming to assess legacy effects of prior warming on the disturbance response, and then reinitiated warming treatments to further evaluate interactions between forest recovery and warmer temperatures. The data showed that warming affected multiple aspects of soil biogeochemical cycling even in the first year of treatment, with particularly large positive effects on soil microbial biomass pools (e.g., increases of 54, 43, and 46% relative to the control plots were observed for microbial biomass carbon, nitrogen, and phosphorus, respectively after 6 months of warming). We also observed significant effects of the hurricanes on soil biogeochemical cycling, as well as interactive controls of warming and disturbance. Taken together, our results showed dynamic soil responses that suggest the future of biogeochemical cycling in this tropical wet forest will be strongly shaped by the directional effects of warming and the episodic effects of hurricanes.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Ecological Research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Science Direct","doi":"10.1016/bs.aecr.2020.01.007","usgsCitation":"Reed, S., Reibold, R.H., Cavaleri, M.A., Alonso-Rodriguez, A.M., Berberich, M.E., and Wood, T.E., 2020, Soil biogeochemical responses of a tropical forest to warming and hurricane disturbance, chap. 6 of Advances in Ecological Research, v. 62, p. 225-252, https://doi.org/10.1016/bs.aecr.2020.01.007.","productDescription":"28 p.","startPage":"225","endPage":"252","ipdsId":"IP-115219","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":378009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.2747802734375,\n 17.90556881196468\n ],\n [\n -65.58563232421875,\n 17.90556881196468\n ],\n [\n -65.58563232421875,\n 18.534304453676864\n ],\n [\n -67.2747802734375,\n 18.534304453676864\n ],\n [\n -67.2747802734375,\n 17.90556881196468\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":797592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":797593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavaleri, Molly A.","contributorId":206282,"corporation":false,"usgs":false,"family":"Cavaleri","given":"Molly","email":"","middleInitial":"A.","affiliations":[{"id":34284,"text":"School of Forest Resources and Environmental Science, Michigan Technological University","active":true,"usgs":false}],"preferred":false,"id":797594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alonso-Rodriguez, Aura M.","contributorId":206281,"corporation":false,"usgs":false,"family":"Alonso-Rodriguez","given":"Aura","email":"","middleInitial":"M.","affiliations":[{"id":37300,"text":"International Institute of Tropical Forestry, USDA Forest Service, Sabana Field Research Station, Luquillo, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":797595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berberich, Megan E.","contributorId":239684,"corporation":false,"usgs":false,"family":"Berberich","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":47972,"text":"U.S. Forest Service, International Institute of Tropical forestry, 1201 Calle Ceiba, Jardín Botánico Sur, San Juan, PR 00926, USA","active":true,"usgs":false}],"preferred":false,"id":797596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Tana E.","contributorId":202372,"corporation":false,"usgs":false,"family":"Wood","given":"Tana","email":"","middleInitial":"E.","affiliations":[{"id":36399,"text":"International Institute of Tropical Forestry, USDA Forest Service, Rio Piedras, PR","active":true,"usgs":false}],"preferred":false,"id":797597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70208975,"text":"70208975 - 2020 - Storm impacts on phytoplankton community dynamics in lakes","interactions":[],"lastModifiedDate":"2020-09-01T13:54:15.589491","indexId":"70208975","displayToPublicDate":"2020-03-05T18:33:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Storm impacts on phytoplankton community dynamics in lakes","docAbstract":"In many regions across the globe, extreme weather events such as storms have increased in frequency, intensity, and duration due to climate change. Ecological theory predicts that such extreme events should have large impacts on ecosystem structure and function. High winds and precipitation associated with storms can affect lakes via short‐term runoff events from watersheds and physical mixing of the water column. In addition, lakes connected to rivers and streams will also experience flushing due to high flow rates. Although we have a well‐developed understanding of how wind and precipitation events can alter lake physical processes and some aspects of biogeochemical cycling, our mechanistic understanding of the emergent responses of phytoplankton communities is poor. Here we provide a comprehensive synthesis that identifies how storms interact with lake and watershed attributes and their antecedent conditions to generate changes in lake physical and chemical environments. Such changes can restructure phytoplankton communities and their dynamics, as well as result in altered ecological function (e.g., carbon, nutrient and energy cycling) in the short‐ and long‐term. We summarize the current understanding of storm‐induced phytoplankton dynamics, identify knowledge gaps with a systematic review of the literature, and suggest future research directions across a gradient of lake types and environmental conditions.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.15033","usgsCitation":"Stockwell, J.D., Doubek, J.P., Adrian, R., Anneville, O., Carey, C.C., Carvalho, L., Frassl, M.A., Domis, L.N., Grossart, H., Dur, G., Ibelings, B.W., Lajeunesse, M.J., Lewandowska, A.M., Llames, M.E., Matsuzaki, S.S., Nodine, E., Noges, P., Patil, V.P., Pomati, F., Rinke, K., Rudstam, L.G., Rusak, J.A., Salmaso, N., Seltmann, C.T., Straile, D., Thackeray, S.J., Thiery, W., Urrutia-Cordero, P., Venail, P., Verburg, P., Woolway, R., Zohary, T., Andersen, M., Bhattacharya, R., Hejzlar, J., Janatian, N., Kpodonu, A.T., Williamson, T.J., and Wilson, H., 2020, Storm impacts on phytoplankton community dynamics in lakes: Global Change Biology, v. 26, no. 5, p. 2756-2784, https://doi.org/10.1111/gcb.15033.","productDescription":"29 p.","startPage":"2756","endPage":"2784","ipdsId":"IP-110107","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":457484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.15033","text":"Publisher Index Page"},{"id":373036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":784246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doubek, Jonathan P.","contributorId":223151,"corporation":false,"usgs":false,"family":"Doubek","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":784291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adrian, Rita 0000-0002-6318-7189","orcid":"https://orcid.org/0000-0002-6318-7189","contributorId":166831,"corporation":false,"usgs":false,"family":"Adrian","given":"Rita","email":"","affiliations":[{"id":24542,"text":"Department of Ecosystem Research, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 301, D- 12587 Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":784292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anneville, Orlane","contributorId":166833,"corporation":false,"usgs":false,"family":"Anneville","given":"Orlane","email":"","affiliations":[{"id":24544,"text":"National Institute for Agricultural Research (INRA), UMR Centre Alpin de Recherche sur les Réseaux Trophiques des Ecosystèmes Limniques (CARRTEL), 74200 Thonon-Les-Bains, France","active":true,"usgs":false}],"preferred":false,"id":784293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":784294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carvalho, Laurence","contributorId":197238,"corporation":false,"usgs":false,"family":"Carvalho","given":"Laurence","email":"","affiliations":[],"preferred":false,"id":784295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frassl, Marieke A.","contributorId":223153,"corporation":false,"usgs":false,"family":"Frassl","given":"Marieke","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":784298,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Domis, Lisette N. De Senerpont","contributorId":71448,"corporation":false,"usgs":true,"family":"Domis","given":"Lisette","email":"","middleInitial":"N. De Senerpont","affiliations":[],"preferred":false,"id":784296,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dur, Gael","contributorId":223152,"corporation":false,"usgs":false,"family":"Dur","given":"Gael","email":"","affiliations":[],"preferred":false,"id":784297,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ibelings, Bas W","contributorId":130973,"corporation":false,"usgs":false,"family":"Ibelings","given":"Bas","email":"","middleInitial":"W","affiliations":[{"id":7189,"text":"Institut F.A. Forel, Versoix, Switzerland","active":true,"usgs":false}],"preferred":false,"id":784384,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":784383,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lajeunesse, Marc J.","contributorId":223154,"corporation":false,"usgs":false,"family":"Lajeunesse","given":"Marc","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":784385,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lewandowska, Aleksandra M.","contributorId":223155,"corporation":false,"usgs":false,"family":"Lewandowska","given":"Aleksandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":784386,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Llames, Maria E.","contributorId":223156,"corporation":false,"usgs":false,"family":"Llames","given":"Maria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":784387,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Matsuzaki, Shin-Ichiro S.","contributorId":203197,"corporation":false,"usgs":false,"family":"Matsuzaki","given":"Shin-Ichiro","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":784388,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Nodine, Emily","contributorId":194471,"corporation":false,"usgs":false,"family":"Nodine","given":"Emily","email":"","affiliations":[],"preferred":false,"id":784389,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Noges, Peeter 0000-0003-2919-6038","orcid":"https://orcid.org/0000-0003-2919-6038","contributorId":150291,"corporation":false,"usgs":false,"family":"Noges","given":"Peeter","email":"","affiliations":[{"id":17967,"text":"Centre for Limnology, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartumaa, Estonia","active":true,"usgs":false}],"preferred":false,"id":784390,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":784391,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pomati, Francesco","contributorId":194466,"corporation":false,"usgs":false,"family":"Pomati","given":"Francesco","email":"","affiliations":[],"preferred":false,"id":784392,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rinke, Karsten","contributorId":85839,"corporation":false,"usgs":true,"family":"Rinke","given":"Karsten","email":"","affiliations":[],"preferred":false,"id":784393,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":784394,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rusak, James A. 0000-0002-4939-6478","orcid":"https://orcid.org/0000-0002-4939-6478","contributorId":150301,"corporation":false,"usgs":false,"family":"Rusak","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":17970,"text":"Dorset Environmental Science Centre, Ontario Ministry of the Environment and Climate Change, Dorset, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":784395,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Salmaso, Nico","contributorId":150302,"corporation":false,"usgs":false,"family":"Salmaso","given":"Nico","email":"","affiliations":[{"id":17976,"text":"Sustainable Agro-Ecosystems and Bioresources Department (IASMA) Research and Innovation Centre, Fondazione E. Mach, S. Michele all’Adige (Trento), Italy","active":true,"usgs":false}],"preferred":false,"id":784396,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Seltmann, Christian T.","contributorId":223157,"corporation":false,"usgs":false,"family":"Seltmann","given":"Christian","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":784397,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Straile, Dietmar","contributorId":150309,"corporation":false,"usgs":false,"family":"Straile","given":"Dietmar","email":"","affiliations":[{"id":17983,"text":"Department of Biology, Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":784398,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Thackeray, Stephen J.","contributorId":197253,"corporation":false,"usgs":false,"family":"Thackeray","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":784399,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Thiery, Wim","contributorId":223158,"corporation":false,"usgs":false,"family":"Thiery","given":"Wim","email":"","affiliations":[],"preferred":false,"id":784400,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Urrutia-Cordero, Pablo","contributorId":223159,"corporation":false,"usgs":false,"family":"Urrutia-Cordero","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":784401,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Venail, Patrick","contributorId":48806,"corporation":false,"usgs":true,"family":"Venail","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":784402,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Verburg, Piet","contributorId":150311,"corporation":false,"usgs":false,"family":"Verburg","given":"Piet","email":"","affiliations":[{"id":17985,"text":"National Institute of Water and Atmospheric Research, Hamilton, New Zealand","active":true,"usgs":false}],"preferred":false,"id":784403,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Woolway, R. Iestyn","contributorId":150345,"corporation":false,"usgs":false,"family":"Woolway","given":"R. Iestyn","affiliations":[{"id":18007,"text":"Lake Ecosystems Group, Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK.","active":true,"usgs":false}],"preferred":false,"id":784404,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Zohary, Tamar","contributorId":223160,"corporation":false,"usgs":false,"family":"Zohary","given":"Tamar","email":"","affiliations":[],"preferred":false,"id":784405,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Andersen, Mikkel R.","contributorId":223161,"corporation":false,"usgs":false,"family":"Andersen","given":"Mikkel R.","affiliations":[],"preferred":false,"id":784406,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Bhattacharya, Ruchi 0000-0001-5657-9603","orcid":"https://orcid.org/0000-0001-5657-9603","contributorId":223162,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Ruchi","email":"","affiliations":[],"preferred":false,"id":784407,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Hejzlar, J.","contributorId":95632,"corporation":false,"usgs":true,"family":"Hejzlar","given":"J.","affiliations":[],"preferred":false,"id":784408,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Janatian, Nasime","contributorId":223163,"corporation":false,"usgs":false,"family":"Janatian","given":"Nasime","email":"","affiliations":[],"preferred":false,"id":784409,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Kpodonu, Alfred T. N. K.","contributorId":223164,"corporation":false,"usgs":false,"family":"Kpodonu","given":"Alfred","email":"","middleInitial":"T. N. K.","affiliations":[],"preferred":false,"id":784410,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Williamson, Tanner J.","contributorId":223165,"corporation":false,"usgs":false,"family":"Williamson","given":"Tanner","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":784411,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Wilson, Harriet","contributorId":223133,"corporation":false,"usgs":false,"family":"Wilson","given":"Harriet","email":"","affiliations":[{"id":40677,"text":"Miami University, Department of Biology","active":true,"usgs":false}],"preferred":false,"id":784412,"contributorType":{"id":1,"text":"Authors"},"rank":39}]}}
,{"id":70223324,"text":"70223324 - 2020 - Geodetic measurements of slow slip events southeast of Parkfield, CA","interactions":[],"lastModifiedDate":"2021-08-23T23:00:40.643575","indexId":"70223324","displayToPublicDate":"2020-03-05T17:54:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic measurements of slow slip events southeast of Parkfield, CA","docAbstract":"Tremor and low-frequency earthquakes are presumed to be indicative of surrounding slow, aseismic slip that is often below geodetic detection thresholds. This study uses data from borehole seismometers and long-baseline laser strainmeters to observe both the seismic and geodetic signatures of episodic tremor and slip on the Parkfield region of the San Andreas Fault near Cholame, CA. The observed occurrence rates of both the tremors and co-located families of low-frequency earthquakes are not steady but instead exhibit quasiperiodic bursts of increased activity. We show that these periods of elevated seismic activity correlate with statistically significant stacked strain signals consisting of 44 slow-slip events. Modeled individual slow-slip events and their total summed moment, which are constrained by seismic signals and stacked strain, respectively, indicate that the individual moment magnitudes of these events range from ![\"urn:x-wiley:jgrb:media:jgrb54084:jgrb54084-math-0001\"](\"https://agupubs.onlinelibrary.wiley.com/cms/asset/d234dc98-bafb-4857-b071-66f198957b70/jgrb54084-math-0001.png\")
4.6–5.2. We find that the measured geodetic signal likely precedes the seismic signal by several hours, consistent with the aseismic slip preceding and driving the observed seismic tremor activity. We confirm that strike-slip faults, in addition to subduction zones, are capable of producing episodic tremor and slip.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB019059","usgsCitation":"Delbridge, B.G., Carmichael, J.D., Nadeau, R., Shelly, D.R., and Burgmann, R., 2020, Geodetic measurements of slow slip events southeast of Parkfield, CA: Journal of Geophysical Research, v. 125, no. 5, e2019JB019059, 20 p., https://doi.org/10.1029/2019JB019059.","productDescription":"e2019JB019059, 20 p.","ipdsId":"IP-117218","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":457485,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1630866","text":"External Repository"},{"id":388397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Parkfield slow-slip region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.640625,\n 35.15584570226544\n ],\n [\n -118.27880859374999,\n 35.15584570226544\n ],\n [\n -118.27880859374999,\n 36.66841891894786\n ],\n [\n -121.640625,\n 36.66841891894786\n ],\n [\n -121.640625,\n 35.15584570226544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Delbridge, Brent G. 0000-0003-2808-8772","orcid":"https://orcid.org/0000-0003-2808-8772","contributorId":192986,"corporation":false,"usgs":false,"family":"Delbridge","given":"Brent","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":821739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carmichael, Joshua D. 0000-0001-5752-5738","orcid":"https://orcid.org/0000-0001-5752-5738","contributorId":264608,"corporation":false,"usgs":false,"family":"Carmichael","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":54513,"text":"EES-17 (Geophysics), Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":821740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Robert M. 0000-0003-1255-0643","orcid":"https://orcid.org/0000-0003-1255-0643","contributorId":264609,"corporation":false,"usgs":false,"family":"Nadeau","given":"Robert M.","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":821741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":821742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgmann, Roland 0000-0002-3560-044X","orcid":"https://orcid.org/0000-0002-3560-044X","contributorId":264610,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","email":"","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":821743,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208904,"text":"tm2A16 - 2020 - Standard operating procedures for wild horse and burro double-observer aerial surveys","interactions":[],"lastModifiedDate":"2020-03-06T06:11:36","indexId":"tm2A16","displayToPublicDate":"2020-03-05T13:27:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2-A16","displayTitle":"Standard Operating Procedures for Wild Horse and Burro Double-Observer Aerial Surveys","title":"Standard operating procedures for wild horse and burro double-observer aerial surveys","docAbstract":"The U.S. Geological Survey has been collaborating with the Bureau of Land Management to develop statistically reliable methods for wild horse and burro aerial survey data collection and analysis for more than a decade. In cooperation with Colorado State University, the U.S. Geological Survey tested several methods in herds with known abundance, resulting in two scientifically defensible aerial survey and population estimation techniques. These methods are now being applied by the Bureau of Land Management across the western United States, enabling better management of wild horses and burros. The purpose of these Standard Operating Procedures (SOPs) is to provide detailed instructions to the Bureau of Land Management wild horse and burro specialists who need to fly aerial surveys for management.
This report provides multiple SOPs that are related to Equus caballus (wild horse) and Equus asinus (wild burro) double-observer aerial surveys, along with datasheets, pre-survey checklists, and a quick-guide to the methods. SOP 1 describes how to carry out wild horse and burro aerial surveys as an aviation crew member. SOP 2, SOP 3, and SOP 4 relate to data management, and are important for the wild horse and burro specialist or other lead staff who will be responsible for documenting and archiving records from the survey. SOP 5 details double-observer reporting via a data entry spreadsheet and provides reference for analyzing double observer data to obtain population estimates. SOP 6 presents general principles for preparing aerial survey flight lines. SOP 7 provides instructions for using abundance estimates from aerial surveys to project population size forward in time. The appendixes provide survey datasheets, pre-survey checklists, and a quick-guide to SOP 1.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A16","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Griffin, P.C., Ekernas, L.S., Schoenecker, K.A., and Lubow, B.C., 2020, Standard operating procedures for wild horse and burro double-observer aerial surveys: U.S. Geological Survey Techniques and Methods, book 2, chap. A16, 76 p., https://doi.org/10.3133/tm2A16","productDescription":"Report: viii, 76 p.; Data Release","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-099245","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437070,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P946MHTZ","text":"USGS data release","linkHelpText":"Wild horse aerial double observer survey analysis R script"},{"id":372919,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a16/coverthb.jpg"},{"id":372920,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a16/tm2a16.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 2–A16"},{"id":372921,"rank":3,"type":{"id":4,"text":"Application Site"},"url":"https://doi.org/10.5066/P946MHTZ","text":"Software","description":"USGS Data Release","linkHelpText":"– R script to analyze simultaneous double observer wild horse and burro aerial surveys"}],"contact":"Center Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526–8118
","tableOfContents":"- Preface
- Acknowledgments
- Introduction
- Standard Operating Procedure 1—Conducting Aerial Surveys with the Simultaneous Double-Observer Method
- Standard Operating Procedure 2—Global Positioning System Use
- Standard Operating Procedure 3—File Folder Structure
- Standard Operating Procedure 4—Processing Digital Photographs
- Standard Operating Procedure 5—Reference for Analyzing Double-Observer Data
- Standard Operating Procedure 6—Preparing Flight Lines for Aerial Surveys
- Standard Operating Procedure 7—Principles for Projecting Population Size
- Appendix 1. List of Herd Codes, by State
- Appendix 2. Examples of Percent Concealing Vegetation, 0–80 percent
- Appendix 3. Blank Data Forms
- Appendix 4. Pre-Survey Checklists
- Appendix 5. Quick-Guide to Double-Observer Surveys
","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-03-05","noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffin, Paul C. 0000-0001-8412-5713","orcid":"https://orcid.org/0000-0001-8412-5713","contributorId":223035,"corporation":false,"usgs":false,"family":"Griffin","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":783888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ekernas, L. Stefan 0000-0002-9205-1985","orcid":"https://orcid.org/0000-0002-9205-1985","contributorId":223034,"corporation":false,"usgs":true,"family":"Ekernas","given":"L.","email":"","middleInitial":"Stefan","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":783887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":783890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce C. Lubow","contributorId":223036,"corporation":false,"usgs":false,"family":"Bruce C. Lubow","affiliations":[],"preferred":false,"id":783889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70210748,"text":"70210748 - 2020 - Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population","interactions":[],"lastModifiedDate":"2020-06-23T15:15:40.637412","indexId":"70210748","displayToPublicDate":"2020-03-05T10:11:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population","title":"Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population","docAbstract":"- Chronic pathogen carriage is one mechanism that allows diseases to persist in populations. We hypothesized that persistent or recurrent pneumonia in bighorn sheep (Ovis canadensis ) populations may be caused by chronic carriers of Mycoplasma ovipneumoniae (Mo ). Our experimental approach allowed us to address a conservation need while investigating the role of chronic carriage in disease persistence.
- We tested our hypothesis in two bighorn sheep populations in South Dakota, USA. We identified and removed Mo chronic carriers from the Custer State Park (treatment) population. Simultaneously, we identified carriers but did not remove them from the Rapid City population (control). We predicted removal would result in decreased pneumonia, mortality, and Mo prevalence. Both population ranges had similar habitat and predator communities but were sufficiently isolated to preclude intermixing.
- We classified chronic carriers as adults that consistently tested positive for Mo carriage over a 20‐month sampling period (n = 2 in the treatment population; n = 2 in control population).
- We failed to detect Mo or pneumonia in the treatment population after chronic carrier removal, while both remained in the control. Mortality hazard for lambs was reduced by 72% in the treatment population relative to the control (CI = 36%, 91%). There was also a 41% reduction in adult mortality hazard attributable to the treatment, although this was not statistically significant (CI = 82% reduction, 34% increase).
- Synthesis and Applications : These results support the hypothesis that Mo is a primary causative agent of persistent or recurrent respiratory disease in bighorn sheep populations and can be maintained by a few chronic carriers. Our findings provide direction for future research and management actions aimed at controlling pneumonia in wild sheep and may apply to other diseases.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6146","usgsCitation":"Garwood, T., Lehman, C., Walsh, D.P., Cassirer, E.F., Besser, T., and Jenks, J.A., 2020, Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population: Ecology and Evolution, v. 10, no. 7, p. 3491-3502, https://doi.org/10.1002/ece3.6146.","productDescription":"12 p.","startPage":"3491","endPage":"3502","ipdsId":"IP-113588","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":457489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6146","text":"Publisher Index Page"},{"id":375813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Black Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.71093749999999,\n 43.5326204268101\n ],\n [\n -103.08059692382812,\n 43.5326204268101\n ],\n [\n -103.08059692382812,\n 44.19500528245343\n ],\n [\n -103.71093749999999,\n 44.19500528245343\n ],\n [\n -103.71093749999999,\n 43.5326204268101\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Garwood, Tyler","contributorId":225442,"corporation":false,"usgs":false,"family":"Garwood","given":"Tyler","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":791228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehman, Chadwick P.","contributorId":225443,"corporation":false,"usgs":false,"family":"Lehman","given":"Chadwick P.","affiliations":[{"id":41111,"text":"South Dakota Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":791229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":791230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cassirer, E. Frances","contributorId":198303,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":791231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Besser, Thomas E.","contributorId":187454,"corporation":false,"usgs":false,"family":"Besser","given":"Thomas E.","affiliations":[],"preferred":false,"id":791232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jenks, Jonathan A.","contributorId":210887,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":791233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215613,"text":"70215613 - 2020 - Monitoring nearshore ecosystem health using Pacific razor clams (Siliqua patula) as an indicator species","interactions":[],"lastModifiedDate":"2020-10-26T14:54:53.549951","indexId":"70215613","displayToPublicDate":"2020-03-05T09:28:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring nearshore ecosystem health using Pacific razor clams (Siliqua patula) as an indicator species","docAbstract":"An emerging approach to ecosystem monitoring involves the use of physiological biomarker analyses in combination with gene transcription assays. For the first time, we employed these tools to evaluate the Pacific razor clam (Siliqua patula), which is important both economically and ecologically, as a bioindicator species in the northeast Pacific. Our objectives were to (1) develop biomarker and gene transcription assays with which to monitor the health of the Pacific razor clam, (2) acquire baseline biomarker and gene transcription reference ranges for razor clams, (3) assess the relationship between physiological and gene transcription assays and (4) determine if site-level differences were present. Pacific razor clams were collected in July 2015 and 2016 at three sites within each of two national parks in southcentral Alaska. In addition to determining reference ranges, we found differences in biomarker assay and gene transcription results between parks and sites which indicate variation in both large-scale and local environmental conditions. Our intent is to employ these methods to evaluate Pacific razor clams as a bioindicator of nearshore ecosystem health. Links between the results of the biomarker and gene transcription assays were observed that support the applicability of both assays in ecosystem monitoring. However, we recognize the need for controlled studies to examine the range of responses in physiology and gene transcripts to different stressors.sors.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.8761","usgsCitation":"Bowen, L., Counihan, K., Ballachey, B.E., Colletti, H.A., Hollmen, T.E., Pister, B., and Wilson, T.L., 2020, Monitoring nearshore ecosystem health using Pacific razor clams (Siliqua patula) as an indicator species: PeerJ, v. 8, e8761, 30 p., https://doi.org/10.7717/peerj.8761.","productDescription":"e8761, 30 p.","ipdsId":"IP-116067","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.8761","text":"Publisher Index Page"},{"id":379759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve, Lake Clark National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.68798828125,\n 59.87239799228177\n ],\n [\n -152.259521484375,\n 60.973107109199404\n ],\n [\n -152.874755859375,\n 61.03169171684717\n ],\n [\n -152.9296875,\n 61.53840616716746\n ],\n [\n -153.775634765625,\n 61.52269494598361\n ],\n [\n -154.68749999999997,\n 60.94644199944748\n ],\n [\n -155.10498046875,\n 59.85585085709834\n ],\n [\n -153.028564453125,\n 59.80063426102869\n ],\n [\n -152.68798828125,\n 59.87239799228177\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -153.248291015625,\n 58.89897119532359\n ],\n [\n -153.79760742187497,\n 59.130863097255904\n ],\n [\n -154.2919921875,\n 59.06315402462662\n ],\n [\n -155.06103515624997,\n 59.153403092050375\n ],\n [\n -155.313720703125,\n 59.03490244176445\n ],\n [\n -155.797119140625,\n 59.01794033995248\n ],\n [\n -156.55517578125,\n 58.73970633523893\n ],\n [\n -156.59912109375,\n 58.510913712234455\n ],\n [\n -156.302490234375,\n 58.39019698411526\n ],\n [\n -155.950927734375,\n 57.99645479966997\n ],\n [\n -155.45654296875,\n 57.87981645527839\n ],\n [\n -155.203857421875,\n 57.745213216291866\n ],\n [\n -154.193115234375,\n 58.13592099138227\n ],\n [\n -153.248291015625,\n 58.89897119532359\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":802973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counihan, Katrina","contributorId":140780,"corporation":false,"usgs":false,"family":"Counihan","given":"Katrina","affiliations":[{"id":13561,"text":"Alaska Sea Life Center, Seward, AK","active":true,"usgs":false}],"preferred":false,"id":802974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballachey, Brenda E. 0000-0003-1855-9171 bballachey@usgs.gov","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":2966,"corporation":false,"usgs":true,"family":"Ballachey","given":"Brenda","email":"bballachey@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":802975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colletti, Heather A","contributorId":199047,"corporation":false,"usgs":false,"family":"Colletti","given":"Heather","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":802976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollmen, Tuula E.","contributorId":211728,"corporation":false,"usgs":false,"family":"Hollmen","given":"Tuula","email":"","middleInitial":"E.","affiliations":[{"id":16211,"text":"Alaska SeaLife Center","active":true,"usgs":false}],"preferred":false,"id":802977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pister, Benjamin","contributorId":219669,"corporation":false,"usgs":false,"family":"Pister","given":"Benjamin","email":"","affiliations":[{"id":40046,"text":"Ocean Alaska Science and Learning Center, National Park Service","active":true,"usgs":false}],"preferred":false,"id":802978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Tammy L","contributorId":219670,"corporation":false,"usgs":false,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L","affiliations":[{"id":40047,"text":"7Department of Natural Resource Management, South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":802979,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70206596,"text":"pp1863 - 2020 - Groundwater characterization and effects of pumping in the Death Valley regional groundwater flow system, Nevada and California, with special reference to Devils Hole","interactions":[],"lastModifiedDate":"2022-04-22T19:10:54.810814","indexId":"pp1863","displayToPublicDate":"2020-03-05T09:14:28","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1863","displayTitle":"Groundwater Characterization and Effects of Pumping in the Death Valley Regional Groundwater Flow System, Nevada and California, with Special Reference to Devils Hole","title":"Groundwater characterization and effects of pumping in the Death Valley regional groundwater flow system, Nevada and California, with special reference to Devils Hole","docAbstract":"Groundwater flow and development were characterized in four groundwater basins of the Death Valley regional flow system in Nevada and California with calibrated, groundwater-flow models. Natural groundwater discharges in the Furnace Creek, Lower Amargosa, and Saratoga Spring areas were defined and distributed consistently with a revised hydrogeologic framework. This simplified hydrogeologic framework was limited to four hydraulically unique, hydrogeologic units: (1) basin fill; (2) carbonate rocks; (3) volcanic rocks; and (4) low-permeability granitic and siliciclastic rocks. Hydrogeologic units and division of carbonate and volcanic rocks between shallow and deep were supported by results from 271 aquifer tests and specific-capacity estimates. Greater than 90 percent of field-estimated transmissivity occurred within 1,600 feet (ft) of the water table. Pumping in the study area from 1960 to 2010 averaged 46,000 acre-feet per year (acre-ft/yr), which is 80 percent of the predevelopment discharge. The central Amargosa Desert and Pahrump Valley were the two primary pumping centers and measurably affected water levels across 900 square miles in 2018.
Water levels in Devils Hole were a special focus because endangered Devils Hole pupfish (Cyprinodon diabolis) are affected by water-level declines. Pumping 42,100 acre-ft by Cappaert Enterprises, formerly Spring Meadows, Inc., caused a 2.3-ft water-level decline in Devils Hole, which temporarily reduced habitat of Devils Hole pupfish by 85 percent in 1972. If no pumping occurred, water levels in Devils Hole would have risen naturally about 1 ft between 1973 and 2018 from temporal variations in recharge. The 2.6-ft range of measured water-level changes in Devils Hole was simulated with a root-mean-square error of 0.2 ft during the 70-year period of record. Simulated water-level declines from pumping totaled 1.4 ft in 2018, with 25 and 34 percent attributed to pumping by Cappaert Enterprises and the central Amargosa Desert, respectively. Water levels in Devils Hole will decline at rates of 0.1–0.2 ft per decade if pumping from Ash Meadows groundwater basin and the central Amargosa Desert continue at current rates. Effects of future natural water-level fluctuations remain unknown.
Ash Meadows and Alkali Flat–Furnace Creek Ranch groundwater basins are hydraulically connected near well AD-4, about 5 miles south of the town of Amargosa Valley, Nevada. About 40 percent of the discharge from the Furnace Creek area is recharged in the Ash Meadows groundwater basin. Basin fill in the central Amargosa Desert hydraulically connects carbonate rocks east of well AD-4 with saturated carbonate rocks in the Funeral Range. About 7 percent of the 960,000 acre-ft pumped from Ash Meadows and Alkali Flat–Furnace Creek Ranch groundwater basins prior to 2019 was captured discharge from springs and phreatophytes. Greater than 40 percent of the 2,080,000 acre-ft pumped from Pahrump Valley between 1910 and 2019 was capture that primarily discharged from Bennetts and Manse Springs.
Simulated advective-flow distances and velocities from underground nuclear tests are within the range of advective transport calculations from tritium data and previous radionuclide transport investigations. Boundary conditions and flow rates from the regional model in this study are plausible for local-scale flow and radionuclide transport models. Simulated 165-year groundwater-flow paths do not extend into pumping areas and effects of regional pumping on advective transport are negligible.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1863","collaboration":"Prepared in cooperation with the U.S. Department of Energy Office of Environmental Management, National Nuclear Security Administration, Nevada Site Office, under Interagency Agreement DE-EM0004969","usgsCitation":"Halford, K.J., and Jackson, T.R., 2020, Groundwater characterization and effects of pumping in the Death Valley regional groundwater flow system, Nevada and California, with special reference to Devils Hole: U.S. Geological Survey Professional Paper 1863, 178 p., https://doi.org/10.3133/pp1863.","productDescription":"Report: xvi, 178 p.; Data Release","ipdsId":"IP-105994","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":372815,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HIYVG2","text":"USGS data release","description":"USGS Data Release","linkHelpText":"MODFLOW-2005 model and supplementary data used to characterize groundwater flow and effects of pumping in the Death Valley regional groundwater flow system, Nevada and California, with special reference to Devils Hole"},{"id":399508,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109738.htm"},{"id":372814,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1863/pp1863.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1863"},{"id":372813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1863/coverthb2.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Death Valley, Devils Hole","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117,\n 35.6464\n ],\n [\n -115.0611,\n 35.6464\n ],\n [\n -115.0611,\n 37.7214\n ],\n [\n -117,\n 37.7214\n ],\n [\n -117,\n 35.6464\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road
Carson City, Nevada 89701
","tableOfContents":"- Abstract
- Introduction
- Geology
- Interbasin Flow Between Groundwater Basins
- Predevelopment Groundwater Flow
- Groundwater Development
- Integrated Estimation of Recharge and Hydraulic-Property Distributions with Numerical Models
- Simulated Predevelopment Groundwater Flow
- Effects of Groundwater Development
- Potential Effects of Future Groundwater Development
- Groundwater-Basin Boundary Uncertainty
- Evaluation of Advective Flow from Corrective Action Units
- Model Limitations
- Summary
- Acknowledgments
- References Cited
","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-03-05","noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":775093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Tracie R. 0000-0001-8553-0323 tjackson@usgs.gov","orcid":"https://orcid.org/0000-0001-8553-0323","contributorId":150591,"corporation":false,"usgs":true,"family":"Jackson","given":"Tracie","email":"tjackson@usgs.gov","middleInitial":"R.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":775092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70209460,"text":"70209460 - 2020 - Biogeography of fire regimes in western US conifer forests: A trait-based approach","interactions":[],"lastModifiedDate":"2020-04-09T13:15:04.84918","indexId":"70209460","displayToPublicDate":"2020-03-05T08:05:57","publicationYear":"2020","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":"Biogeography of fire regimes in western US conifer forests: A trait-based approach","docAbstract":"Aim\nFunctional traits are a critical link between species distributions and the ecosystem processes that structure those species’ niches. Concurrent increases in the availability of functional trait data and our ability to model species distributions present an opportunity to develop functional trait biogeography, i.e. the mapping of functional traits across space. Functional trait biogeography can improve process-based predictions about the resistance of certain species assemblages to changing environmental conditions across landscape scales. We illustrate this concept by developing the first trait-based, quantitative ranking of fire resistance (adult tree survival) in North American conifer species, and mapping that fire resistance across space. \nLocation and Time period\nWestern Continental United States, present-day.\nMajor taxa studied\n29 common conifer tree species.\nMethods\nWe compiled six traits for each species: three relating to tree morphology and three relating to litter flammability. We combined these traits into a single fire resistance score, and used community-weighted averaging to estimate the fire resistance scores of different forest communities, using interpolated species distribution and relative abundance data.\nResults \nSpecies associated with historically frequent fire have high fire resistance scores (e.g., Pinus ponderosa), reflected by thick bark, tall crowns, and flammable litter. Species associated with subalpine or arid conditions have low fire resistance scores (e.g., Picea engelmannii and Pinus edulis), reflected by thin bark, short stature, poor self-pruning and low litter flammability. A map of forest community fire resistance across the western US reveals agreement with independent assessments of historical fire regimes, while also identifying areas where community-wide species traits may be mismatched with historical fire regimes. \nMain conclusions\nQuantifying the functional traits that confer resistance to tree-killing fire provides a direct link between ecosystem disturbance and community resistance. Understanding this link is critical to evaluating long-term resilience of different forest types under dynamic fire regimes. Our work represents the first known spatial representation of fire-resistance traits at a regional scale, and as such provides a link between functional traits and biogeography relevant to a critical ecosystem process.","language":"English","publisher":"Wiley","doi":"10.1111/geb.13079","collaboration":"","usgsCitation":"Stevens, J., Kling, M.M., Schwilk, D.W., Varner, J.M., and Kane, J., 2020, Biogeography of fire regimes in western US conifer forests: A trait-based approach: Global Ecology and Biogeography, v. 29, no. 5, p. 944-955, https://doi.org/10.1111/geb.13079.","productDescription":"12 p.","startPage":"944","endPage":"955","ipdsId":"IP-114014","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437071,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97F5P7L","text":"USGS data release","linkHelpText":"Fire resistance trait data for 29 western North American conifer species"},{"id":373858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"","otherGeospatial":"Western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.5078125,\n 30.600093873550072\n ],\n [\n -103.53515625,\n 30.600093873550072\n ],\n [\n -103.53515625,\n 49.49667452747045\n ],\n [\n -125.5078125,\n 49.49667452747045\n ],\n [\n -125.5078125,\n 30.600093873550072\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Jens 0000-0002-2234-1960","orcid":"https://orcid.org/0000-0002-2234-1960","contributorId":222191,"corporation":false,"usgs":true,"family":"Stevens","given":"Jens","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":786562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kling, Matthew M.","contributorId":223923,"corporation":false,"usgs":false,"family":"Kling","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":786630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwilk, Dylan W.","contributorId":103883,"corporation":false,"usgs":true,"family":"Schwilk","given":"Dylan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":786631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varner, J. Morgan","contributorId":197482,"corporation":false,"usgs":false,"family":"Varner","given":"J.","email":"","middleInitial":"Morgan","affiliations":[],"preferred":false,"id":786632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Jeffrey M.","contributorId":35169,"corporation":false,"usgs":true,"family":"Kane","given":"Jeffrey M.","affiliations":[],"preferred":false,"id":786633,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249715,"text":"70249715 - 2020 - Fundamental hydraulics of cross sections in natural rivers: Preliminary analysis of a large data set of acoustic doppler flow measurements","interactions":[],"lastModifiedDate":"2023-10-25T12:14:01.11108","indexId":"70249715","displayToPublicDate":"2020-03-05T07:07:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11438,"text":"Water Resource Research","active":true,"publicationSubtype":{"id":10}},"title":"Fundamental hydraulics of cross sections in natural rivers: Preliminary analysis of a large data set of acoustic doppler flow measurements","docAbstract":"We have assembled a comprehensive and publicly accessible U.S. Geological Survey (USGS) streamflow measurement data set, called HYDRoSWOT, from a USGS National Water Information System archive of acoustic Doppler current profiler river discharge measurements collected from a wide range of rivers throughout the United States. The data set provides a wealth of information on the range of hydraulic characteristics of river cross sections in the United States. Preliminary exploration of the data set, filtered for quality control, indicates that rivers tend toward consistent and predictable forms as discharge increases. The ratio of maximum-to-mean depth is highly predictable and is remarkably consistent across all river sizes and discharges. Distributions of hydraulic characteristics provide a large-scale perspective on the general hydraulic characteristics of rivers. The data set affords the opportunity to analyze hydraulic relations for individual rivers as a function of stage, geomorphic setting, and energy environments and, combined with additional information contained in this data set, might yield predictive relations that could help constrain and parameterize river hydraulic models.
Stressors such as antibiotics, herbicides, and pollutants are becoming increasingly common in the environment. The effects of stressors on populations are typically studied in homogeneous, nonspatial settings. However, most populations in nature are spatially distributed over environmentally heterogeneous landscapes with spatially restricted dispersal. Little is known about the effects of stressors in these more realistic settings. Here, we combine laboratory experiments with novel mathematical theory to rigorously investigate how a stressor’s physiological effect and spatial distribution interact with dispersal to influence population dynamics. We prove mathematically that if a stressor increases the death rate and/or simultaneously decreases the population growth rate and yield, a homogeneous distribution of the stressor leads to a lower total population size than if the same amount of the stressor was heterogeneously distributed. We experimentally test this prediction on spatially distributed populations of budding yeast (Saccharomyces cerevisiae). We find that the antibiotic cycloheximide increases the yeast death rate but reduces the growth rate and yield. Consistent with our mathematical predictions, we observe that a homogeneous spatial distribution of cycloheximide minimizes the total equilibrium size of experimental metapopulations, with the magnitude of the effect depending predictably on the dispersal rate and the geographic pattern of antibiotic heterogeneity. Our study has implications for assessing the population risk posed by pollutants, antibiotics, and global change and for the rational design of strategies for employing toxins to control pathogens and pests.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/709293","usgsCitation":"Zhang, B., DeAngelis, D., Ni, W., Wang, Y., Zhai, L., Kula, A., Xu, S., and Van Dyken, J.D., 2020, Effect of stressors on the carrying capacity of spatially distributed metapopulations: The American Naturalist, v. 196, no. 2, p. E46-E60, https://doi.org/10.1086/709293.","productDescription":"15 p.","startPage":"E46","endPage":"E60","ipdsId":"IP-096375","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437072,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KHRJKW","text":"USGS data release","linkHelpText":"Scaling antibiotic efficacy from cells to metapopulations"},{"id":373943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Bo","contributorId":146526,"corporation":false,"usgs":false,"family":"Zhang","given":"Bo","email":"","affiliations":[{"id":16714,"text":"Dept. of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":786864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":786865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ni, Wei-Ming","contributorId":146528,"corporation":false,"usgs":false,"family":"Ni","given":"Wei-Ming","email":"","affiliations":[{"id":16716,"text":"University of Minnesota : East China Normal University","active":true,"usgs":false}],"preferred":false,"id":786866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":786867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhai, Lu","contributorId":202653,"corporation":false,"usgs":false,"family":"Zhai","given":"Lu","email":"","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":786868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kula, Alex","contributorId":194890,"corporation":false,"usgs":false,"family":"Kula","given":"Alex","email":"","affiliations":[],"preferred":false,"id":786869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Shuang","contributorId":224047,"corporation":false,"usgs":false,"family":"Xu","given":"Shuang","email":"","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":786870,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Van Dyken, J. David","contributorId":194913,"corporation":false,"usgs":false,"family":"Van Dyken","given":"J.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":786871,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70208937,"text":"70208937 - 2020 - Climate dipoles as continental drivers of plant and animal populations","interactions":[],"lastModifiedDate":"2020-05-05T17:07:58.968548","indexId":"70208937","displayToPublicDate":"2020-03-05T06:56:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Climate dipoles as continental drivers of plant and animal populations","docAbstract":"Ecological processes, such as migration and phenology, are strongly influenced by climate variability. Studying these processes often relies on associating observations of animals and plants with climate variability indices, such as the El Niño–Southern Oscillation. A characteristic of climate indices is the simultaneous emergence of opposite extremes of temperature and precipitation across continental scales, known as climate dipoles. The role of climate dipoles in shaping ecological and evolutionary processes has been largely overlooked. We review emerging evidence that climate dipoles can entrain species dynamics, and offer a framework for identifying ecological dipoles using broad-scale biological data. Given future changes in climatic and atmospheric processes, climate and ecological dipoles will likely shift in their intensity, distribution, and timing.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2020.01.010","usgsCitation":"Zuckerberg, B., Strong, C., LaMontagne, J., St. George, S., Betancourt, J.L., and Koenig, W.D., 2020, Climate dipoles as continental drivers of plant and animal populations: Trends in Ecology and Evolution, v. 35, no. 5, p. 440-453, https://doi.org/10.1016/j.tree.2020.01.010.","productDescription":"14 p.","startPage":"440","endPage":"453","ipdsId":"IP-116563","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":372989,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zuckerberg, Benjamin","contributorId":200298,"corporation":false,"usgs":false,"family":"Zuckerberg","given":"Benjamin","email":"","affiliations":[{"id":13562,"text":"University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":784102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strong, Courtenay","contributorId":195262,"corporation":false,"usgs":false,"family":"Strong","given":"Courtenay","email":"","affiliations":[],"preferred":false,"id":784103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaMontagne, Jalene M.","contributorId":223096,"corporation":false,"usgs":false,"family":"LaMontagne","given":"Jalene","middleInitial":"M.","affiliations":[{"id":36623,"text":"DePaul University","active":true,"usgs":false}],"preferred":false,"id":784104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. George, Scott","contributorId":218756,"corporation":false,"usgs":false,"family":"St. George","given":"Scott","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":784105,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":784106,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koenig, Walter D.","contributorId":46255,"corporation":false,"usgs":false,"family":"Koenig","given":"Walter","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":784107,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70217011,"text":"70217011 - 2020 - Causal effect of impervious cover on annual flood magnitude for the United States","interactions":[],"lastModifiedDate":"2020-12-28T12:49:18.302259","indexId":"70217011","displayToPublicDate":"2020-03-05T06:30:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Causal effect of impervious cover on annual flood magnitude for the United States","docAbstract":"Despite consensus that impervious surfaces increase flooding, the magnitude of the increase remains uncertain. This uncertainty largely stems from the challenge of isolating the effect of changes in impervious cover separate from other factors that also affect flooding. To control for these factors, prior study designs rely on either temporal or spatial variation in impervious cover. We leverage both temporal and spatial variation in a panel data regression design to isolate the effect of impervious cover on floods. With 39 years of data from 280 U.S. streamgages, we estimate that a one percentage point increase in impervious basin cover causes a 3.3% increase in annual flood magnitude (95%CI: 1.9%, 4.7%) on average. Using 2,109 streamgages, some of which have upstream regulation and/or overlapping basins, we estimate a larger effect: 4.6% (CI: 3.5%, 5.6%). The approach introduced here can be extended to estimate the causal effects of other drivers of hydrologic change.
We evaluated the status of a population of Mojave Desert Tortoises (Gopherus agassizii), a threatened species, in the El Paso Mountains of the northwestern Mojave Desert in California, USA. The study area lies north of and adjacent to a designated critical habitat unit for the species, is adjacent to a state park, and is a short distance from the Desert Tortoise Research Natural Area. We randomly sampled 373 1-ha plots from a 239.1-km2 area in the mountain range to determine demographic attributes of the population, vegetation associations, predator presence, and human uses. Live and dead G. agassizii and sign (burrows, scats, tracks) occurred on 35.7% of plots. Densities of adults were higher than in adjacent critical habitat, and threats (traumatic injuries, infectious and other diseases) were similar to those reported elsewhere in the geographic range. Signs of human use were evident on 98.4% of plots. We used a multimodel approach to determine distribution of G. agassizii in relation to vegetation, anthropogenic, and predator variables. Vegetation, predators, trash, mining activity, and vehicles were important factors affecting the distribution and intensity of tortoise sign. We concluded that this population is in a downward trend, like other populations in the western Mojave Desert. The high death rate of adults, low population density, high human visitor use, and ongoing decline in the adjacent critical habitat unit indicate that a viable population is unlikely to persist in the study area. The future for the population found in the El Paso Mountains might depend on survival in the adjacent roadless El Paso Mountains Wilderness Area.
","language":"English","publisher":"The Herpetologists' League, Inc","doi":"10.1655/Herpetologica-D-18-00033","usgsCitation":"Berry, K.H., Yee, J.L., Lyren, L.L., and Mack, J., 2020, An uncertain future for a population of desert tortoises experiencing human impacts: Herpetologica, v. 76, no. 1, p. 1-11, https://doi.org/10.1655/Herpetologica-D-18-00033.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-016876","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457504,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1655/herpetologica-d-18-00033","text":"Publisher Index Page"},{"id":372962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Kern County","otherGeospatial":"El Paso Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.14971923828124,\n 35.29607300397548\n ],\n [\n -117.60177612304688,\n 35.29607300397548\n ],\n [\n -117.60177612304688,\n 35.66399091134812\n ],\n [\n -118.14971923828124,\n 35.66399091134812\n ],\n [\n -118.14971923828124,\n 35.29607300397548\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":783499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyren, Lisa L.","contributorId":166968,"corporation":false,"usgs":false,"family":"Lyren","given":"Lisa","email":"","middleInitial":"L.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":783500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Jeremy S 0000-0002-3394-8493","orcid":"https://orcid.org/0000-0002-3394-8493","contributorId":206166,"corporation":false,"usgs":false,"family":"Mack","given":"Jeremy S","affiliations":[{"id":37269,"text":"Crater Lake National Park (formerly USGS - WERC)","active":true,"usgs":false}],"preferred":false,"id":783501,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}