The hydrogen isotope value (δD) of water indigenous to the mantle is masked by the early degassing and recycling of surface water through Earth's history. High 3He/4He ratios in some ocean island basalts, however, provide a clear geochemical signature of deep, primordial mantle that has been isolated within the Earth's interior from melting, degassing, and convective mixing with the upper mantle. Hydrogen isotopes were measured in high 3He/4He submarine basalt glasses from the Southeast Indian Ridge (SEIR) at the Amsterdam–St. Paul (ASP) Plateau (δD = −51 to −90‰, 3He/4He = 7.6 to 14.1 RA) and in submarine glasses from Loihi seamount south of the island of Hawaii (δD = −70 to −90‰, 3He/4He = 22.5 to 27.8 RA). These results highlight two contrasting patterns of δD for high 3He/4He lavas: one trend toward high δD of approximately −50‰, and another converging at δD = −75‰. These same patterns are evident in a global compilation of previously reported δD and 3He/4He results. We suggest that the high δD values result from water recycled during subduction that is carried into the source region of mantle plumes at the core–mantle boundary where it is mixed with primordial mantle, resulting in high δD and moderately high 3He/4He. Conversely, lower δD values of −75‰, in basalts from Loihi seamount and also trace element depleted mid-ocean ridge basalts, imply a primordial Earth hydrogen isotopic value of −75‰ or lower. δD values down to −100‰ also occur in the most trace element-depleted mid-ocean ridge basalts, typically in association with 87Sr/86Sr ratios near 0.703. These lower δD values may be a result of multi-stage melting history of the upper mantle where minor D/H fractionation could be associated with hydrogen retention in nominally anhydrous residual minerals. Collectively, the predominance of δD around −75‰ in the majority of mid-ocean ridge basalts and in high 3He/4He Loihi basalts is consistent with an origin of water on Earth that was dominated by accretion of chondritic material.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.12.012","usgsCitation":"Loewen, M., Graham, D.W., Bindeman, I.N., Lupton, J.E., and Garcia, M.O., 2019, Hydrogen isotopes in high 3He/4He submarine basalts: Primordial vs. recycled water and the veil of mantle enrichment: Earth and Planetary Science Letters, v. 508, p. 62-73, https://doi.org/10.1016/j.epsl.2018.12.012.","productDescription":"12 p.","startPage":"62","endPage":"73","ipdsId":"IP-098999","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.12.012","text":"Publisher Index Page"},{"id":360796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"508","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Loewen, Matthew W.","contributorId":168854,"corporation":false,"usgs":false,"family":"Loewen","given":"Matthew W.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":755301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, David W.","contributorId":167398,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":755302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bindeman, Ilya N.","contributorId":175500,"corporation":false,"usgs":false,"family":"Bindeman","given":"Ilya","email":"","middleInitial":"N.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":755303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lupton, John E.","contributorId":211938,"corporation":false,"usgs":false,"family":"Lupton","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":755304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Michael O.","contributorId":51636,"corporation":false,"usgs":true,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":755305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201752,"text":"70201752 - 2019 - Compounding effects of climate change reduce population viability of a montane amphibian","interactions":[],"lastModifiedDate":"2019-03-04T11:15:22","indexId":"70201752","displayToPublicDate":"2019-01-29T13:58:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Compounding effects of climate change reduce population viability of a montane amphibian","docAbstract":"Anthropogenic climate change presents challenges and opportunities to the growth, reproduction, and survival of individuals throughout their life cycles. Demographic compensation among life‐history stages has the potential to buffer populations from decline, but alternatively, compounding negative effects can lead to accelerated population decline and extinction. In montane ecosystems of the U.S. Pacific Northwest, increasing temperatures are resulting in a transition from snow‐dominated to rain‐dominated precipitation events, reducing snowpack. For ectotherms such as amphibians, warmer winters can reduce the frequency of critical minimum temperatures and increase the length of summer growing seasons, benefiting post‐metamorphic stages, but may also increase metabolic costs during winter months, which could decrease survival. Lower snowpack levels also result in wetlands that dry sooner or more frequently in the summer, increasing larval desiccation risk. To evaluate how these challenges and opportunities compound within a species’ life history, we collected demographic data on Cascades frog (Rana cascadae) in Olympic National Park in Washington state to parameterize stage‐based stochastic matrix population models under current and future (A1B, 2040s, and 2080s) environmental conditions. We estimated the proportion of reproductive effort lost each year due to drying using watershed‐specific hydrologic models, and coupled this with an analysis that relates 15 yr of R. cascadae abundance data with a suite of climate variables. We estimated the current population growth (λs) to be 0.97 (95% CI 0.84–1.13), but predict that λs will decline under continued climate warming, resulting in a 62% chance of extinction by the 2080s because of compounding negative effects on early and late life history stages. By the 2080s, our models predict that larval mortality will increase by 17% as a result of increased pond drying, and adult survival will decrease by 7% as winter length and summer precipitation continue to decrease. We find that reduced larval survival drives initial declines in the 2040s, but further declines in the 2080s are compounded by decreases in adult survival. Our results demonstrate the need to understand the potential for compounding or compensatory effects within different life history stages to exacerbate or buffer the effects of climate change on population growth rates through time.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1832","usgsCitation":"Kissel, A.M., Palen, W.J., Ryan, M.E., and Adams, M.J., 2019, Compounding effects of climate change reduce population viability of a montane amphibian: Ecological Applications, v. 29, no. 2, p. 1-12, https://doi.org/10.1002/eap.1832.","productDescription":"e01832; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-092187","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":360793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda M.","contributorId":211917,"corporation":false,"usgs":false,"family":"Kissel","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":755199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palen, Wendy J.","contributorId":211918,"corporation":false,"usgs":false,"family":"Palen","given":"Wendy","email":"","middleInitial":"J.","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":755200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Maureen E.","contributorId":208314,"corporation":false,"usgs":false,"family":"Ryan","given":"Maureen","email":"","middleInitial":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":755201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":755198,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201771,"text":"70201771 - 2019 - Implications of introgression for wildlife translocations: the case of North American martens","interactions":[],"lastModifiedDate":"2019-03-26T16:11:42","indexId":"70201771","displayToPublicDate":"2019-01-29T12:27:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Implications of introgression for wildlife translocations: the case of North American martens","docAbstract":"The evolutionary consequences of natural introgression provide a rare opportunity to retrospectively evaluate how the introduction of exotics or genetic rescue efforts may impact endemic faunas. Phylogeographic structure among mainland, endemic insular, and introduced North American marten (Martes americana and M. caurina) populations have been shaped by a complex history of natural, post-glacial population expansion followed by a series of anthropogenic introductions. In some cases, both natural colonization and translocations facilitated secondary contact, offering a series of replicated experiments that demonstrate how introgression, in these cases following isolation (insular and refugial), shapes genetic diversity. We test whether genetic exchange is occurring between North American marten species using mitochondrial genomes and ten nuclear loci. We present evidence of biased nuclear introgression from M. caurina into M. americana across two natural hybrid zones (insular and mainland) and found no remnant evidence of M. caurina on islands that received M. americana translocations, suggesting prior absence, potential extirpation, or genetic swamping of M. caurina from these islands. Our results highlight the importance of understanding phylogeographic variation prior to identifying source populations for wildlife translocations and caution the use of genetic rescue for North American marten populations. Although previously managed as a single species, these two species show substantial genetic divergence. When the two are placed into contact, they exhibit unidirectional, asymmetric introgression with potentially negative consequences for M. caurina, underscoring the value of mindful consideration of introgression in wildlife management.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-018-1120-5","usgsCitation":"Colella, J.P., Wilson, R.E., Talbot, S.L., and Cook, J.A., 2019, Implications of introgression for wildlife translocations: the case of North American martens: Conservation Genetics, v. 20, no. 2, p. 153-166, https://doi.org/10.1007/s10592-018-1120-5.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-093364","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":437596,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V1L0SI","text":"USGS data release","linkHelpText":"Sequence Information from the Mitogenome and Ten Nuclear Genes from Martes Species (Martes americana, M. caurina) of North America, 1972-2010"},{"id":360783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":755291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Robert E. 0000-0003-1800-0183 rewilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1800-0183","contributorId":5718,"corporation":false,"usgs":true,"family":"Wilson","given":"Robert","email":"rewilson@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":755293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":755290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joseph A.","contributorId":8323,"corporation":false,"usgs":false,"family":"Cook","given":"Joseph","email":"","middleInitial":"A.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":755292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201760,"text":"70201760 - 2019 - Behavioral effects of copper on larval white sturgeon","interactions":[],"lastModifiedDate":"2019-01-29T12:25:13","indexId":"70201760","displayToPublicDate":"2019-01-29T12:25:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral effects of copper on larval white sturgeon","docAbstract":"Early–life stage white sturgeon are sensitive to copper (Cu), with adverse behavioral responses observed during previous studies. The objectives of the present study were to quantify the effects of Cu exposure on white sturgeon swimming and feeding behaviors and determine their time to response. Larval sturgeon (1–2, 28, or 35 d posthatch [dph]) were exposed to Cu (0.5–8 μg/L) for 4 to 14 d. Abnormal behavioral changes were observed within the first few days of exposure including loss of equilibrium and immobilization. Digital video tracking software revealed decreased swimming activity with increasing Cu concentration. Significant changes in behavior and mortality occurred at concentrations of Cu between 1 and 8 μg/L. Juvenile white sturgeon, 58 dph, exposed to 12 μg/L Cu consumed 37 to 60% less food than controls after 3 d of exposure. The present results indicate that behavioral endpoints were more sensitive than some standard toxicity test endpoints and can effectively expand the sensitivity of standard toxicity tests for white sturgeon. Swimming behavior was impaired to the extent that survival in the field would likely be jeopardized. Such data would provide managers a useful metric for characterizing the risks of Cu contamination to white sturgeon.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.4293","usgsCitation":"Puglis, H.J., Calfee, R.D., and Little, E.E., 2019, Behavioral effects of copper on larval white sturgeon: Environmental Toxicology and Chemistry, v. 38, no. 1, p. 132-144, https://doi.org/10.1002/etc.4293.","productDescription":"13 p.","startPage":"132","endPage":"144","ipdsId":"IP-095133","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":437598,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QB60EV","text":"USGS data release","linkHelpText":"Behavioral Effects of Copper on Larval White Sturgeon"},{"id":437597,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QB60EV","text":"USGS data release","linkHelpText":"Behavioral Effects of Copper on Larval White Sturgeon"},{"id":360782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":755264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":755265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":755266,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215867,"text":"70215867 - 2019 - Iterative models for early detection of invasive species across spread pathways","interactions":[],"lastModifiedDate":"2020-11-02T13:00:31.325277","indexId":"70215867","displayToPublicDate":"2019-01-29T12:10:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"Iterative models for early detection of invasive species across spread pathways","docAbstract":"Species distribution models can be used to direct early detection of invasive species, if they include proxies for invasion pathways. Due to the dynamic nature of invasion, these models violate assumptions of stationarity across space and time. To compensate for issues of stationarity, we iteratively update regionalized species distribution models annually for European gypsy moth (Lymantria dispar dispar) to target early detection surveys for the USDA APHIS gypsy moth program. We defined regions based on the distances from the invasion spread front where shifts in variable importance occurred and included models for the non-quarantine portion of the state of Maine, a short-range region, an intermediate region, and a long-range region. We considered variables that represented potential gypsy moth movement pathways within each region, including transportation networks, recreational activities, urban characteristics, and household movement data originating from gypsy moth infested areas (U.S. Postal Service address forwarding data). We updated the models annually, linked the models to an early detection survey design, and validated the models for the following year using predicted risk at new positive detection locations. Human-assisted pathways data, such as address forwarding, became increasingly important predictors of gypsy moth detection in the intermediate-range geographic model as more predictor data accumulated over time (relative importance = 5.9%, 17.36%, and 35.76% for 2015, 2016, and 2018, respectively). Receiver operating curves showed increasing performance for iterative annual models (area under the curve (AUC) = 0.63, 0.76, and 0.84 for 2014, 2015, and 2016 models, respectively), and boxplots of predicted risk each year showed increasing accuracy and precision of following year positive detection locations. The inclusion of human-assisted pathway predictors combined with the strategy of iterative modeling brings significant advantages to targeting early detection of invasive species. We present the first published example of iterative species distribution modeling for invasive species in an operational context.
","language":"English","publisher":"MDPI","doi":"10.3390/f10020108","usgsCitation":"Cook, G., Jarnevich, C.S., Warden, M., Downing, M., Withrow, J., and Leinwand, I., 2019, Iterative models for early detection of invasive species across spread pathways: Forests, v. 10, no. 2, 108, 21 p., https://doi.org/10.3390/f10020108.","productDescription":"108, 21 p.","ipdsId":"IP-013042","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467967,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f10020108","text":"Publisher Index Page"},{"id":379981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin, Illinois, Indiana, Ohio, West Virginia, Virginia, Pennsylvania, Delaware, Maryland, New Jersey, Connecticut, Rhode Island, Massachusetts, Maine, New Hampshire, Vermont, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.59277343749999,\n 46.6795944656402\n ],\n [\n -93.779296875,\n 45.49094569262732\n ],\n [\n -91.7578125,\n 43.197167282501276\n ],\n [\n -88.9013671875,\n 41.73852846935917\n ],\n [\n -86.5283203125,\n 39.90973623453719\n ],\n [\n -82.8369140625,\n 39.67337039176558\n ],\n [\n -80.8154296875,\n 37.33522435930639\n ],\n [\n -77.51953125,\n 37.26530995561875\n ],\n [\n -76.0693359375,\n 36.63316209558658\n ],\n [\n -67.1044921875,\n 44.809121700077355\n ],\n [\n -67.763671875,\n 45.767522962149876\n ],\n [\n -68.02734375,\n 47.368594345213374\n ],\n [\n -69.12597656249999,\n 47.45780853075031\n ],\n [\n -71.3232421875,\n 45.336701909968134\n ],\n [\n -75.1025390625,\n 44.96479793033101\n ],\n [\n -76.5966796875,\n 43.99281450048989\n ],\n [\n -79.1015625,\n 43.16512263158296\n ],\n [\n -81.5185546875,\n 41.60722821271717\n ],\n [\n -82.96875,\n 42.16340342422401\n ],\n [\n -82.2216796875,\n 43.54854811091286\n ],\n [\n -82.79296874999999,\n 45.55252525134013\n ],\n [\n -84.462890625,\n 46.37725420510028\n ],\n [\n -88.505859375,\n 48.28319289548349\n ],\n [\n -92.59277343749999,\n 46.6795944656402\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Cook, Gericke","contributorId":197522,"corporation":false,"usgs":false,"family":"Cook","given":"Gericke","email":"","affiliations":[],"preferred":false,"id":803599,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":803545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warden, Melissa","contributorId":244250,"corporation":false,"usgs":false,"family":"Warden","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":803600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Downing, Marla","contributorId":244251,"corporation":false,"usgs":false,"family":"Downing","given":"Marla","email":"","affiliations":[],"preferred":false,"id":803601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Withrow, John","contributorId":244252,"corporation":false,"usgs":false,"family":"Withrow","given":"John","affiliations":[],"preferred":false,"id":803602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leinwand, I.","contributorId":70300,"corporation":false,"usgs":true,"family":"Leinwand","given":"I.","affiliations":[],"preferred":false,"id":803603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237804,"text":"70237804 - 2019 - Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time","interactions":[],"lastModifiedDate":"2022-10-24T14:56:05.970198","indexId":"70237804","displayToPublicDate":"2019-01-29T09:39:19","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9121,"text":"Frontiers Earth Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time","docAbstract":"Arctic lowlands are characterized by large numbers of small waterbodies, which are known to affect surface energy budgets and the global carbon cycle. Statistical analysis of their size distributions has been hindered by the shortage of observations at sufficiently high spatial resolutions. This situation has now changed with the high-resolution (<5 m) circum-Arctic Permafrost Region Pond and Lake (PeRL) database recently becoming available. We have used this database to make the first consistent, high-resolution estimation of Arctic waterbody size distributions, with surface areas ranging from 0.0001 km2 (100 m2) to 1 km2. We found that the size distributions varied greatly across the thirty study regions investigated and that there was no single universal size distribution function (including power-law distribution functions) appropriate across all of the study regions. We did, however, find close relationships between the statistical moments (mean, variance, and skewness) of the waterbody size distributions from different study regions. Specifically, we found that the spatial variance increased linearly with mean waterbody size (R2 = 0.97, p < 2.2e-16) and that the skewness decreased approximately hyperbolically. We have demonstrated that these relationships (1) hold across the 30 Arctic study regions covering a variety of (bio)climatic and permafrost zones, (2) hold over time in two of these study regions for which multi-decadal satellite imagery is available, and (3) can be reproduced by simulating rising water levels in a high-resolution digital elevation model. The consistent spatial and temporal relationships between the statistical moments of the waterbody size distributions underscore the dominance of topographic controls in lowland permafrost areas. These results provide motivation for further analyses of the factors involved in waterbody development and spatial distribution and for investigations into the possibility of using statistical moments to predict future hydrologic dynamics in the Arctic.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2019.00005","usgsCitation":"Muster, S., Riley, W.J., Roth, K., Langer, M., Cresto Aleina, F., Koven, C.D., Lange, S., Bartsch, A., Grosse, G., Wilson, C.J., Jones, B.M., and Boike, J., 2019, Size distributions of Arctic waterbodies reveal consistent relations in their statistical moments in space and time: Frontiers Earth Science Journal, v. 7, 5,15 p., https://doi.org/10.3389/feart.2019.00005.","productDescription":"5,15 p.","ipdsId":"IP-084407","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":467968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00005","text":"Publisher Index Page"},{"id":408644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","state":"Alaska","geographicExtents":"{\n \"type\": 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]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Muster, Sina","contributorId":194628,"corporation":false,"usgs":false,"family":"Muster","given":"Sina","email":"","affiliations":[],"preferred":false,"id":855690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riley, William J. 0000-0002-4615-2304","orcid":"https://orcid.org/0000-0002-4615-2304","contributorId":194645,"corporation":false,"usgs":false,"family":"Riley","given":"William","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roth, Kurt","contributorId":194629,"corporation":false,"usgs":false,"family":"Roth","given":"Kurt","email":"","affiliations":[],"preferred":false,"id":855691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Langer, Moritz","contributorId":194630,"corporation":false,"usgs":false,"family":"Langer","given":"Moritz","email":"","affiliations":[],"preferred":false,"id":855692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cresto Aleina, Fabio","contributorId":194632,"corporation":false,"usgs":false,"family":"Cresto Aleina","given":"Fabio","email":"","affiliations":[],"preferred":false,"id":855694,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koven, Charles D.","contributorId":199593,"corporation":false,"usgs":false,"family":"Koven","given":"Charles","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":855695,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lange, Stephan","contributorId":194631,"corporation":false,"usgs":false,"family":"Lange","given":"Stephan","email":"","affiliations":[],"preferred":false,"id":855696,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bartsch, Annett","contributorId":194633,"corporation":false,"usgs":false,"family":"Bartsch","given":"Annett","email":"","affiliations":[],"preferred":false,"id":855697,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":855698,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilson, C. J.","contributorId":88242,"corporation":false,"usgs":true,"family":"Wilson","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":855699,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":855700,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Boike, Julia","contributorId":194646,"corporation":false,"usgs":false,"family":"Boike","given":"Julia","email":"","affiliations":[],"preferred":false,"id":855701,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70202889,"text":"70202889 - 2019 - An old tree and its many‐shaped leaves","interactions":[],"lastModifiedDate":"2019-04-03T13:36:35","indexId":"70202889","displayToPublicDate":"2019-01-28T15:48:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"An old tree and its many‐shaped leaves","docAbstract":"Plant leaf shape is highly variable. The beauty of leaves can be purely aesthetic, but also derives from the mystery of adaptive significance. This mystery is especially compelling for species with strongly varying leaf shape on a single tree. \nThe desert poplar (Populus euphratica Oliv.) is an ancient and protected species, and forms riparian forests in deserts of mid and west Asia, north Africa and southern Europe. More than half of all desert poplar forest is found along the Tarim River within the Taklamakan, a desert in northwest China. The Taklamakan is in the rain shadow of the Himalayas and the world’s second largest shifting sand desert. There, forest extent has been greatly reduced, mostly due to flow diversion for agriculture, but many old trees persist. \n\nThe tree in the picture is the oldest recorded living desert poplar. The innermost ring in a core dates back to 1709 or earlier. The leaves on this tree vary widely in shape, from smooth to dentate, from narrow to broad, and from linear to lanceolate to ovate. Drought is a dominant stressor in this hyperarid environment with highly variable temperature and soil salinity. Leaf shape may relate to tradeoffs among water conservation, thermoregulation and growth rate. \n\nIs this extremely wide variation in leaf shape on a single tree an adaptation to the large temporal fluctuations in the environment? Alternatively, could leaf polymorphism be a neutral and thus non-adaptive consequence of variable gene expressions related to developmental stages. Answers to these questions can enrich the ecological and evolutionary understanding of trees and ecological drought.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1997","usgsCitation":"Dong, Q., Friedman, J.M., and Zhou, H., 2019, An old tree and its many‐shaped leaves: Frontiers in Ecology and the Environment, v. 17, no. 1, p. 15-15, https://doi.org/10.1002/fee.1997.","productDescription":"1 p.","startPage":"15","endPage":"15","ipdsId":"IP-100827","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467969,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1997","text":"Publisher Index Page"},{"id":362667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Dong, Quan 0000-0003-0571-5884 qdong@usgs.gov","orcid":"https://orcid.org/0000-0003-0571-5884","contributorId":4506,"corporation":false,"usgs":true,"family":"Dong","given":"Quan","email":"qdong@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":760403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhou, Honghua","contributorId":214565,"corporation":false,"usgs":false,"family":"Zhou","given":"Honghua","email":"","affiliations":[{"id":18132,"text":"Xinjiang Institute of Ecology and Geography, China","active":true,"usgs":false}],"preferred":false,"id":760412,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201748,"text":"70201748 - 2019 - Mercury contamination in resident and migrant songbirds and potential effects on body condition","interactions":[],"lastModifiedDate":"2019-01-28T15:43:56","indexId":"70201748","displayToPublicDate":"2019-01-28T15:43:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Mercury contamination in resident and migrant songbirds and potential effects on body condition","docAbstract":"Methlymercury is a significant risk to environmental health globally. We examined the ecological drivers of methylmercury bioaccumulation in songbirds and its effect on body condition while experimentally removing the potentially confounding and predominant effects of site and habitat. We measured blood and feather mercury concentrations and body condition in nearly 1200 individuals representing resident or migrant songbirds of 52 species and 5 foraging guilds. Songbird mercury concentrations differed among species, foraging guilds, residency status, dates, and ages, but not sexes. Blood mercury concentrations 1) ranged from 0.003 in house finch to 0.85 μg/g ww in American robin, 2) were 125 times greater in insectivores than granivores and 3.6 times greater in insectivores than omnivores, 3) were 3.3 times greater in summer residents than in migrating songbirds, 4) increased by 25% throughout spring and summer, and 5) were 45% higher in adults than juveniles. Songbird mercury concentrations were negatively correlated with body condition, with blood mercury concentrations decreasing by 44% and 34% over the range of standardized body masses and fat scores, respectively. Our results highlight the importance of foraging and migration ecology in determining methylmercury contamination in birds, and the potential for reduced body condition with methylmercury exposure in songbirds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.11.060","usgsCitation":"Ackerman, J., Hartman, C.A., and Herzog, M.P., 2019, Mercury contamination in resident and migrant songbirds and potential effects on body condition: Environmental Pollution, v. 246, p. 797-810, https://doi.org/10.1016/j.envpol.2018.11.060.","productDescription":"14 p.","startPage":"797","endPage":"810","ipdsId":"IP-103424","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360769,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"246","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022bfe4b0708288f7e7bd","contributors":{"authors":[{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":755174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":755175,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":755176,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70201744,"text":"70201744 - 2019 - Elevated manganese concentrations in United States groundwater, role of land surface–soil–aquifer connections","interactions":[],"lastModifiedDate":"2019-01-28T14:36:31","indexId":"70201744","displayToPublicDate":"2019-01-28T14:36:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Elevated manganese concentrations in United States groundwater, role of land surface–soil–aquifer connections","docAbstract":"Chemical data from 43 334 wells were used to examine the role of land surface–soil–aquifer connections in producing elevated manganese concentrations (>300 μg/L) in United States (U.S.) groundwater. Elevated concentrations of manganese and dissolved organic carbon (DOC) in groundwater are associated with shallow, anoxic water tables and soils enriched in organic carbon, suggesting soil-derived DOC supports manganese reduction and mobilization in shallow groundwater. Manganese and DOC concentrations are higher near rivers than farther from rivers, suggesting river-derived DOC also supports manganese mobilization. Anthropogenic nitrogen may also affect manganese concentrations in groundwater. In parts of the northeastern U.S. containing poorly buffered soils, ∼40% of the samples with elevated manganese concentrations have pH values < 6 and elevated concentrations of nitrate relative to samples with pH ≥ 6, suggesting acidic recharge produced by the oxidation of ammonium in fertilizer helps mobilize manganese. An estimated 2.6 million people potentially consume groundwater with elevated manganese concentrations, the highest densities of which occur near rivers and in areas with organic carbon rich soil. Results from this study indicate land surface–soil–aquifer connections play an important role in producing elevated manganese concentrations in groundwater used for human consumption.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b04055","usgsCitation":"McMahon, P.B., Belitz, K., Reddy, J.E., and Johnson, T., 2019, Elevated manganese concentrations in United States groundwater, role of land surface–soil–aquifer connections: Environmental Science & Technology, v. 53, no. 1, p. 29-38, https://doi.org/10.1021/acs.est.8b04055.","productDescription":"10 p.","startPage":"29","endPage":"38","ipdsId":"IP-098153","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":437599,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y4GOFQ","text":"USGS data release","linkHelpText":"Data for Elevated Manganese Concentrations in United States Groundwater, Role of Land Surface-Soil-Aquifer Connections"},{"id":360761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-12","publicationStatus":"PW","scienceBaseUri":"5c5022c0e4b0708288f7e7c8","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755152,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reddy, James E. 0000-0002-6998-7267","orcid":"https://orcid.org/0000-0002-6998-7267","contributorId":202976,"corporation":false,"usgs":true,"family":"Reddy","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755155,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201728,"text":"70201728 - 2019 - Investigating lake-area dynamics across a permafrost-thaw spectrum using airborne electromagnetic surveys and remote sensing time-series data in Yukon Flats, Alaska","interactions":[],"lastModifiedDate":"2022-04-14T19:31:06.616565","indexId":"70201728","displayToPublicDate":"2019-01-28T13:57:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Investigating lake-area dynamics across a permafrost-thaw spectrum using airborne electromagnetic surveys and remote sensing time-series data in Yukon Flats, Alaska","docAbstract":"Lakes in boreal lowlands cycle carbon and supply an important source of freshwater for wildlife and migratory waterfowl. The abundance and distribution of these lakes are supported, in part, by permafrost distribution, which is subject to change. Relationships between permafrost thaw and lake dynamics remain poorly known in most boreal regions. Here, new airborne electromagnetic (AEM) data collected during June 2010 and February 2016 were used to constrain deep permafrost distribution. AEM data were coupled with Landsat-derived lake surface-area data from 1979 through 2011 to inform temporal lake behavior changes in the 35 500- km2 Yukon Flats ecoregion of Alaska. Together, over 1500 km of AEM data, and roughly 30 years of Landsat data were used to explore processes that drive lake dynamics across a variety of permafrost thaw states not possible in studies conducted with satellite imagery or field measurements alone. Clustered time-series data identified lakes with similar temporal dynamics. Clusters possessed similarities in lake permanence (i.e. ephemeral versus perennial), subsurface permafrost distribution, and proximity to rivers and streams. Of the clustered lakes, ~66% are inferred to have at least intermittent connectivity with other surface-water features, ~19% are inferred to have shallow subsurface connectivity to other surface water features that served as a low-pass filter for hydroclimatic fluctuations, and ~15% appear to be isolated by surrounding permafrost (i.e. no connectivity). Integrated analysis of AEM and Landsat data reveals a progression from relatively synchronous lake dynamics among disconnected lakes in the most spatially continuous, thick permafrost to quite high spatiotemporal heterogeneity in lake behavior among variably-connected lakes in regions with notably less continuous permafrost. Variability can be explained by the preferential development of thawed permeable gravel pathways for lateral water redistribution in this area. The general spatial progression in permafrost thaw state and lake area behavior may be extended to the temporal dimension. However, extensive permafrost thaw, beyond what is currently observed, is expected to promote ubiquitous subsurface connectivity, eventually evolving to a state of increased lake synchronicity.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aaf06f","usgsCitation":"Rey, D., Walvoord, M., Minsley, B., Rover, J., and Singha, K., 2019, Investigating lake-area dynamics across a permafrost-thaw spectrum using airborne electromagnetic surveys and remote sensing time-series data in Yukon Flats, Alaska: Environmental Research Letters, v. 14, no. 2, p. 1-13, https://doi.org/10.1088/1748-9326/aaf06f.","productDescription":"Article 025001; 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-098493","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467970,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aaf06f","text":"Publisher Index Page"},{"id":360756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon Flats","volume":"14","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-21","publicationStatus":"PW","scienceBaseUri":"5c5022c1e4b0708288f7e7cc","contributors":{"authors":[{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":755036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walvoord, Michelle Ann 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211847,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle Ann","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":755035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minsley, Burke 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":211849,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":755037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rover, Jennifer 0000-0002-3437-4030","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":211850,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":755038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singha, Kamini 0000-0002-0605-3774","orcid":"https://orcid.org/0000-0002-0605-3774","contributorId":191366,"corporation":false,"usgs":false,"family":"Singha","given":"Kamini","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":755039,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201730,"text":"70201730 - 2019 - Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods","interactions":[],"lastModifiedDate":"2022-11-08T16:51:52.120114","indexId":"70201730","displayToPublicDate":"2019-01-28T13:50:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods","docAbstract":"Paleofloods are flood events that occurred prior to instrumented records that are discerned from sedimentary evidence. Historic floods are flood events that predate the instrumented record that have been reconstructed based on evidence provided by historical sources. This special issue presents papers on historic and paleoflood analyses that stemmed from the 5th International Paleoflood Symposium held in 2016 and a technical paper session convened during the 2016 Annual Meeting of the Geological Society of America (GSA) in Denver, Colorado, titled ‘Paleofloods and Related Fluvial Processes during the Late Quaternary: Reconstructions and Causes.’ The papers included in this special issue address a wide variety of flood science questions, including hydrologic hazard and risk assessments, the examination of prehistoric human migration patterns, understanding relationships between large floods and climate, and the investigation of cataclysmic flood processes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2018.10.021","usgsCitation":"Davis, L., Harden, T.M., Munoz, S.E., Godaire, J.E., and O'Connor, J., 2019, Preface to historic and paleoflood analyses: New perspectives on climate, extreme flood risk, and the geomorphic effects of large floods: Geomorphology, v. 327, p. 610-612, https://doi.org/10.1016/j.geomorph.2018.10.021.","productDescription":"3 p.","startPage":"610","endPage":"612","ipdsId":"IP-103412","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":360754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"327","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022c1e4b0708288f7e7d4","contributors":{"authors":[{"text":"Davis, Lisa","contributorId":211852,"corporation":false,"usgs":false,"family":"Davis","given":"Lisa","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":755042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munoz, Samuel E.","contributorId":211853,"corporation":false,"usgs":false,"family":"Munoz","given":"Samuel","email":"","middleInitial":"E.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":755043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Godaire, Jeanne E. 0000-0001-5103-6888","orcid":"https://orcid.org/0000-0001-5103-6888","contributorId":172928,"corporation":false,"usgs":false,"family":"Godaire","given":"Jeanne","email":"","middleInitial":"E.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":755044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":755045,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201733,"text":"70201733 - 2019 - Multi-country willingness to pay for transborder migratory species conservation: A case study of Northern Pintails","interactions":[],"lastModifiedDate":"2019-01-28T13:43:58","indexId":"70201733","displayToPublicDate":"2019-01-28T13:43:54","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1453,"text":"Ecological Economics","active":true,"publicationSubtype":{"id":10}},"title":"Multi-country willingness to pay for transborder migratory species conservation: A case study of Northern Pintails","docAbstract":"Using contingent valuation, we estimated willingness to pay (WTP) in Canada, Mexico, and the United States to protect habitat for Northern Pintails (hereafter pintails), a migratory waterfowl species that provides benefits to and requires habitat in the three countries. Our study contributes to research on spatial subsidies by measuring the value of migratory species habitat. While WTP to protect pintail habitat is highest in the household's own country, there also is substantial WTP to protect pintail habitat in the other two countries. Canadian households' annual WTP is US$12 (all dollar values are in 2016 US dollars) to stabilize the pintail population in Canada, US$4 in Mexico, and US$5 in the U.S. Mexican households would pay US$8 in Mexico, US$5 in the U.S., and US$5 in Canada. U.S. households would pay US$28 in the U.S., US$18 in Canada, and US$16 in Mexico. WTP is statistically significantly higher in all three countries to increase the pintail population. WTP as a percentage of household income is statistically significantly higher for respondents in Mexico. WTP is logically related to explanatory variables such as respondent income, interest in hunting waterfowl, and financial support of wildlife conservation organizations. This study has important implications for conducting economic analyses of habitat issues of transboundary migratory species' conservation and to more effectively and equitably achieve conservation goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolecon.2018.11.024","usgsCitation":"Haefele, M., Loomis, J.B., Lien, A.M., Dubovsky, J.A., Merideth, R.W., Bagstad, K.J., Huang, T., Mattsson, B., Semmens, D.J., Thogmartin, W.E., Wiederholt, R., Diffendorfer, J., and Lopez-Hoffman, L., 2019, Multi-country willingness to pay for transborder migratory species conservation: A case study of Northern Pintails: Ecological Economics, v. 157, p. 321-331, https://doi.org/10.1016/j.ecolecon.2018.11.024.","productDescription":"11 p.","startPage":"321","endPage":"331","ipdsId":"IP-097218","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolecon.2018.11.024","text":"Publisher Index 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kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":755052,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Ta-Ken","contributorId":211856,"corporation":false,"usgs":false,"family":"Huang","given":"Ta-Ken","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":755058,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mattsson, Brady J.","contributorId":171612,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady J.","affiliations":[{"id":26928,"text":"Univ. of 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Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":755064,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70201734,"text":"70201734 - 2019 - Ecosystem service flows from a migratory species: Spatial subsidies of the northern pintail","interactions":[],"lastModifiedDate":"2020-09-01T20:11:07.096526","indexId":"70201734","displayToPublicDate":"2019-01-28T13:32:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem service flows from a migratory species: Spatial subsidies of the northern pintail","docAbstract":"Migratory species provide important benefits to society, but their cross-border conservation poses serious challenges. By quantifying the economic value of ecosystem services (ESs) provided across a species’ range and ecological data on a species’ habitat dependence, we estimate spatial subsidies—how different regions support ESs provided by a species across its range. We illustrate this method for migratory northern pintail ducks in North America. Pintails support over \\$101 million USD annually in recreational hunting and viewing and subsistence hunting in the U.S. and Canada. Pintail breeding regions provide nearly \\$30 million in subsidies to wintering regions, with the “Prairie Pothole” region supplying over \\$24 million in annual benefits to other regions. This information can be used to inform conservation funding allocation among migratory regions and nations on which the pintail depends. We thus illustrate a transferrable method to quantify migratory species-derived ESs and provide information to aid in their transboundary conservation.
","language":"English","publisher":"Springer","doi":"10.1007/s13280-018-1049-4","usgsCitation":"Bagstad, K.J., Semmens, D.J., Diffendorfer, J., Mattsson, B., Dubovsky, J.A., Thogmartin, W.E., Wiederholt, R., Loomis, J.B., Bieri, J., Sample, C., Goldstein, J., and Lopez-Hoffman, L., 2019, Ecosystem service flows from a migratory species: Spatial subsidies of the northern pintail: Ambio, v. 48, no. 1, p. 61-73, https://doi.org/10.1007/s13280-018-1049-4.","productDescription":"13 p.","startPage":"61","endPage":"73","ipdsId":"IP-089020","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":467972,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s13280-018-1049-4","text":"External Repository"},{"id":437600,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q23ZFC","text":"USGS data release","linkHelpText":"Data release for ecosystem service flows from a migratory species: spatial subsidies of the northern pintail"},{"id":360747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-04-10","publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7db","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science 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Redlands","active":true,"usgs":false}],"preferred":false,"id":755074,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sample, Christine","contributorId":201060,"corporation":false,"usgs":false,"family":"Sample","given":"Christine","email":"","affiliations":[],"preferred":false,"id":755076,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Goldstein, Joshua","contributorId":197267,"corporation":false,"usgs":false,"family":"Goldstein","given":"Joshua","affiliations":[],"preferred":false,"id":755073,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":755075,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70201735,"text":"70201735 - 2019 - Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin","interactions":[],"lastModifiedDate":"2019-01-28T13:30:46","indexId":"70201735","displayToPublicDate":"2019-01-28T13:30:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin","docAbstract":"Freshwater biodiversity is declining, despite national and international efforts to manage and protect freshwater ecosystems. Ecosystem-based management (EBM) has been proposed as an approach that could more efficiently and adaptively balance ecological and societal needs. However, this raises the question of how social and ecological objectives can be included in an integrated management plan. Here, we present a generic model-coupling framework tailored to address this question for freshwater ecosystems, using three components: biodiversity, ecosystem services (ESS), and a spatial prioritisation that aims to balance the spatial representation of biodiversity and ESS supply and demand. We illustrate this model-coupling approach within the Danube River Basin using the spatially explicit, potential distribution of (i) 85 fish species as a surrogate for biodiversity as modelled using hierarchical Bayesian models, and (ii) four estimated ESS layers produced by the Artificial Intelligence for Ecosystem Services (ARIES) platform (with ESS supply defined as carbon storage and flood regulation, and demand specified as recreation and water use). These are then used for (iii) a joint spatial prioritisation of biodiversity and ESS employing Marxan with Zones, laying out the spatial representation of multiple management zones. Given the transboundary setting of the Danube River Basin, we also run comparative analyses including the country-level purchasing power parity (PPP)-adjusted gross domestic product (GDP) and each country's percent cover of the total basin area as potential cost factors, illustrating a scheme for balancing the share of establishing specific zones among countries. We demonstrate how emphasizing various biodiversity or ESS targets in an EBM model-coupling framework can be used to cost-effectively test various spatially explicit management options across a multi-national case study. We further discuss possible limitations, future developments, and requirements for effectively managing a balance between biodiversity and ESS supply and demand in freshwater ecosystems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2018.11.348","usgsCitation":"Domisch, S., Kakouei, K., Martinez-Lopez, J., Bagstad, K.J., Magrach, A., Balbi, S., Villa, F., Funk, A., Hein, T., Borgwardt, F., Hermoso, V., Jahnig, S.C., and Langhans, S.D., 2019, Social equity shapes zone-selection: Balancing aquatic biodiversity conservation and ecosystem services delivery in the transboundary Danube River Basin: Science of the Total Environment, v. 656, p. 797-807, https://doi.org/10.1016/j.scitotenv.2018.11.348.","productDescription":"11 p.","startPage":"797","endPage":"807","ipdsId":"IP-100074","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467973,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2018.11.348","text":"Publisher Index Page"},{"id":360746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Danube River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 8,\n 42\n ],\n [\n 30,\n 42\n ],\n [\n 30,\n 50\n ],\n [\n 8,\n 50\n ],\n [\n 8,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"656","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7df","contributors":{"authors":[{"text":"Domisch, Sami 0000-0002-8127-9335","orcid":"https://orcid.org/0000-0002-8127-9335","contributorId":211857,"corporation":false,"usgs":false,"family":"Domisch","given":"Sami","email":"","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland 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0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":755084,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":755085,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Funk, Andrea","contributorId":210646,"corporation":false,"usgs":false,"family":"Funk","given":"Andrea","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":755086,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hein, Thomas 0000-0002-7767-4607","orcid":"https://orcid.org/0000-0002-7767-4607","contributorId":210649,"corporation":false,"usgs":false,"family":"Hein","given":"Thomas","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":755087,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Borgwardt, Florian","contributorId":210647,"corporation":false,"usgs":false,"family":"Borgwardt","given":"Florian","email":"","affiliations":[{"id":38121,"text":"University of Natural Resources and Life Sciences, Vienna","active":true,"usgs":false}],"preferred":false,"id":755088,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hermoso, Virgilio 0000-0003-3205-5033","orcid":"https://orcid.org/0000-0003-3205-5033","contributorId":211861,"corporation":false,"usgs":false,"family":"Hermoso","given":"Virgilio","email":"","affiliations":[{"id":38333,"text":"Centre Tecnologic Forestal de Catalunya","active":true,"usgs":false}],"preferred":false,"id":755089,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jahnig, Sonja C.","contributorId":211858,"corporation":false,"usgs":false,"family":"Jahnig","given":"Sonja","email":"","middleInitial":"C.","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":755079,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Langhans, Simone D.","contributorId":211860,"corporation":false,"usgs":false,"family":"Langhans","given":"Simone","email":"","middleInitial":"D.","affiliations":[{"id":38332,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":755081,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70201737,"text":"70201737 - 2019 - Chlorinated byproducts of neonicotinoids and their metabolites: An unrecognized human exposure potential?","interactions":[],"lastModifiedDate":"2019-02-21T14:44:27","indexId":"70201737","displayToPublicDate":"2019-01-28T13:14:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Chlorinated byproducts of neonicotinoids and their metabolites: An unrecognized human exposure potential?","docAbstract":"We recently reported the initial discovery of neonicotinoid pesticides in drinking water and their potential for transformation through chlorination and alkaline hydrolysis during water treatment. The objectives of this research were: (1) to determine if neonicotinoid metabolites are relevant to drinking water exposure and (2) to identify the products formed from chlorination of neonicotinoids and their metabolites. Desnitro-imidacloprid and imidacloprid-urea, two known metabolites of imidacloprid, are documented for the first time in drinking water. Desnitro-imidacloprid was present above the lower level of detection (0.03 ng/L) in 67% of samples (six of nine) from drinking water systems but detectable in all samples (up to 0.6 ng/L). Although concentrations of desnitro-imidacloprid were lower than concentrations of the parent neonicotinoids, desnitro-imidacloprid exhibits significantly greater mammalian toxicity than imidacloprid. Using LC-HR-ToF-MS/MS analysis of results from laboratory experiments, we propose structures for novel transformation products resulting from the chlorination of clothianidin, imidacloprid, desnitro-imidacloprid, imidacloprid-urea, and hydrolysis products of thiamethoxam. Formation of chlorinated neonicotinoid byproducts occurs at time scales relevant to water treatment and/or distribution for the imidacloprid metabolites (t1/2 values from 2.4 min to 1.0 h) and thiamethoxam hydrolysis products (4.8 h). Neonicotinoid metabolites in finished drinking water and potential formation of novel disinfection byproducts during treatment and/or distribution are relevant to evaluating the exposure and potential impacts of neonicotinoids on human health.
","language":"English","publisher":"ACS","doi":"10.1021/acs.estlett.8b00706","usgsCitation":"Klarich Wong, K.L., Webb, D.T., Nagorzanski, M.R., Kolpin, D., Hladik, M., Cwiertny, D.M., and LeFevre, G.H., 2019, Chlorinated byproducts of neonicotinoids and their metabolites: An unrecognized human exposure potential?: Environmental Science & Technology Letters, v. 6, no. 2, p. 98-105, https://doi.org/10.1021/acs.estlett.8b00706.","productDescription":"8 p.","startPage":"98","endPage":"105","ipdsId":"IP-101658","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":360744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-14","publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7e3","contributors":{"authors":[{"text":"Klarich Wong, Kathryn L.","contributorId":211878,"corporation":false,"usgs":false,"family":"Klarich Wong","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":755114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Danielle T.","contributorId":211879,"corporation":false,"usgs":false,"family":"Webb","given":"Danielle","email":"","middleInitial":"T.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":755115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagorzanski, Matthew R.","contributorId":211881,"corporation":false,"usgs":false,"family":"Nagorzanski","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":false,"id":755119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":202851,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":755113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cwiertny, David M.","contributorId":190557,"corporation":false,"usgs":false,"family":"Cwiertny","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":755117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeFevre, Gregory H.","contributorId":211880,"corporation":false,"usgs":false,"family":"LeFevre","given":"Gregory","email":"","middleInitial":"H.","affiliations":[{"id":6768,"text":"University of Iowa","active":true,"usgs":false}],"preferred":true,"id":755118,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201738,"text":"70201738 - 2019 - Landscape genetics reveal broad and fine‐scale population structure due to landscape features and climate history in the northern leopard frog (Rana pipiens) in North Dakota","interactions":[],"lastModifiedDate":"2019-02-21T14:45:11","indexId":"70201738","displayToPublicDate":"2019-01-28T13:10:38","publicationYear":"2019","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":"Landscape genetics reveal broad and fine‐scale population structure due to landscape features and climate history in the northern leopard frog (Rana pipiens) in North Dakota","title":"Landscape genetics reveal broad and fine‐scale population structure due to landscape features and climate history in the northern leopard frog (Rana pipiens) in North Dakota","docAbstract":"Prehistoric climate and landscape features play large roles structuring wildlife populations. The amphibians of the northern Great Plains of North America present an opportunity to investigate how these factors affect colonization, migration, and current population genetic structure. This study used 11 microsatellite loci to genotype 1,230 northern leopard frogs (Rana pipiens) from 41 wetlands (30 samples/wetland) across North Dakota. Genetic structure of the sampled frogs was evaluated using Bayesian and multivariate clustering methods. All analyses produced concordant results, identifying a major east–west split between two R. pipiens population clusters separated by the Missouri River. Substructuring within the two major identified population clusters was also found. Spatial principal component analysis (sPCA) and variance partitioning analysis identified distance, river basins, and the Missouri River as the most important landscape factors differentiating R. pipiens populations across the state. Bayesian reconstruction of coalescence times suggested the major east–west split occurred ~13–18 kya during a period of glacial retreat in the northern Great Plains and substructuring largely occurred ~5–11 kya during a period of extreme drought cycles. A range‐wide species distribution model (SDM) for R. pipiens was developed and applied to prehistoric climate conditions during the Last Glacial Maximum (21 kya) and the mid‐Holocene (6 kya) from the CCSM4 climate model to identify potential refugia. The SDM indicated potential refugia existed in South Dakota or further south in Nebraska. The ancestral populations of R. pipiens in North Dakota may have inhabited these refugia, but more sampling outside the state is needed to reconstruct the route of colonization. Using microsatellite genotype data, this study determined that colonization from glacial refugia, drought dynamics in the northern Great Plains, and major rivers acting as barriers to gene flow were the defining forces shaping the regional population structure of R. pipiens in North Dakota.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4745","usgsCitation":"Waraniak, J.M., Fisher, J., Purcell, K., Mushet, D.M., and Stockwell, C.A., 2019, Landscape genetics reveal broad and fine‐scale population structure due to landscape features and climate history in the northern leopard frog (Rana pipiens) in North Dakota: Ecology and Evolution, v. 9, no. 3, p. 1041-1060, https://doi.org/10.1002/ece3.4745.","productDescription":"20 p.","startPage":"1041","endPage":"1060","ipdsId":"IP-098834","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4745","text":"Publisher Index Page"},{"id":360742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"9","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7e7","contributors":{"authors":[{"text":"Waraniak, Justin M.","contributorId":211882,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","email":"","middleInitial":"M.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Justin D. L.","contributorId":211883,"corporation":false,"usgs":false,"family":"Fisher","given":"Justin D. L.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purcell, Kevin","contributorId":211884,"corporation":false,"usgs":false,"family":"Purcell","given":"Kevin","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockwell, Craig A.","contributorId":194252,"corporation":false,"usgs":false,"family":"Stockwell","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":755124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201713,"text":"70201713 - 2019 - Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals","interactions":[],"lastModifiedDate":"2019-01-28T13:07:44","indexId":"70201713","displayToPublicDate":"2019-01-28T13:07:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals","docAbstract":"While chemical analysis of contaminant mixtures remains an essential component of environmental monitoring, bioactivity-based assessments using in vitro systems increasingly play a role in the detection of biological effects. Historically, in vitro assessments focused on a few biological pathways, e.g., aryl hydrocarbon receptor (AhR) or estrogen receptor (ER) activities. High-throughput screening (HTS) technologies have greatly increased the number of biological targets and processes that can be rapidly assessed. Here we screened extracts of surface waters from nationwide survey of United States (US) streams for bioactivities associated with 69 different endpoints using two multiplexed HTS assays. Bioactivity of extracts from 38streams was evaluated and compared with concentrations of over 700 analytes to identify chemicals contributing to observed effects. Eleven primary biological endpoints were detected. Pregnane X receptor and AhR-mediated activities were the most commonly detected. Measured chemicals did not completely account for AhR and PXR responses. Surface waters with AhR and PXR effects were associated with low intensity, developed land-cover. Likewise, elevated bioactivities frequently associated with wastewater discharges included endocrine related endpoints— ER and glucocorticoid receptor (GR). These results underscore the value of bioassay-based monitoring of environmental mixtures for detecting biological effects that could not be ascertained solely through chemical analyses.","language":"English","publisher":"ACS","doi":"10.1021/acs.est.8b05304","usgsCitation":"Blackwell, B., Ankley, G.T., Bradley, P.M., Houck, K.A., Makarov, S.S., Medvedev, A.V., Swintek, J., and Villeneuve, D.L., 2019, Potential toxicity of complex mixtures in surface waters from a nationwide survey of United States streams: Identifying in vitro bioactivities and causative chemicals: Environmental Science & Technology, v. 53, no. 2, p. 973-983, https://doi.org/10.1021/acs.est.8b05304.","productDescription":"11 p.","startPage":"973","endPage":"983","ipdsId":"IP-098089","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":467976,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.8b05304","text":"Publisher Index Page"},{"id":360741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"53","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-14","publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7eb","contributors":{"authors":[{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":754949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ankley, Gerald T.","contributorId":200659,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":754950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":754951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houck, Keith A.","contributorId":211804,"corporation":false,"usgs":false,"family":"Houck","given":"Keith","email":"","middleInitial":"A.","affiliations":[{"id":38323,"text":"USEPA-Durham","active":true,"usgs":false}],"preferred":false,"id":754952,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Makarov, Sergei S.","contributorId":211805,"corporation":false,"usgs":false,"family":"Makarov","given":"Sergei","email":"","middleInitial":"S.","affiliations":[{"id":38324,"text":"Attagene, Inc.","active":true,"usgs":false}],"preferred":false,"id":754953,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Medvedev, Alexander V.","contributorId":211806,"corporation":false,"usgs":false,"family":"Medvedev","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":38324,"text":"Attagene, Inc.","active":true,"usgs":false}],"preferred":false,"id":754954,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swintek, Joe","contributorId":197435,"corporation":false,"usgs":false,"family":"Swintek","given":"Joe","email":"","affiliations":[],"preferred":false,"id":754955,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":754956,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201716,"text":"70201716 - 2019 - Evidence for interactions among environmental stressors in the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2019-01-28T11:37:28","indexId":"70201716","displayToPublicDate":"2019-01-28T11:37:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for interactions among environmental stressors in the Laurentian Great Lakes","docAbstract":"Co-occurrence of environmental stressors is ubiquitous in ecosystems, but cumulative effects are difficult to predict for effective indicator development. Individual stressors can amplify (synergies) or lessen (antagonisms) each other's impacts or have fully independent effects (additive). Here we use the Laurentian Great Lakes, where a multitude of stressors have been studied for decades, as a case study for considering insights from both a systematic literature review and an expert elicitation (or structured expert judgment) to identify stressor interactions. In our literature search for pairs of stressors and interaction-related keywords, relatively few studies (9%, or 6/65) supported additive interactions with independent stressor effects. Instead, both antagonisms (42%, or 27/65) and synergies (49%, or 32/65) were common. We found substantial evidence for interactions of invasive dreissenid mussels with nutrient loading and between pairs of invasive species (predominantly dreissenids × round goby), yet both sets of records included mixtures of synergies and antagonisms. Complete quantification of individual and joint effects of stressors was rare, but effect sizes for dreissenid mussels × nutrient loading supported an antagonism. Our expert elicitation included discussion in focus groups and a follow-up survey. This process highlighted the potential for synergies of nutrient loading with dreissenid mussels and climate change as seen from the literature review. The elicitation also identified additional potential interactions less explored in the literature, particularly synergies of nutrient loading with hypoxia and wetland loss. To stimulate future research, we built a conceptual model describing interactions among dreissenid mussels, climate change, and nutrient loading. Our case study illustrates the value of considering results from both elicitations and systematic reviews to overcome data limitations. The simultaneous occurrence of synergies and antagonisms in a single ecosystem underscores the challenge of predicting the cumulative effects of stressors to guide indicator development and other management and restoration decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.01.010","usgsCitation":"Smith, S.D., Bunnell, D.B., Burton, G., Ciborowski, J.J., Davidson, A.D., Dickinson, C.E., Eaton, L.A., Esselman, P.C., Evans, M.A., Kashian, D.R., Manning, N., McIntyre, P.B., Nalepa, T.F., Perez-Fuentetaja, A., Steinman, A.D., Uzarski, D.G., and Allan, J.D., 2019, Evidence for interactions among environmental stressors in the Laurentian Great Lakes: Ecological Indicators, v. 101, p. 203-211, https://doi.org/10.1016/j.ecolind.2019.01.010.","productDescription":"9 p.","startPage":"203","endPage":"211","ipdsId":"IP-093690","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":360726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Laurentian Great Lakes","volume":"101","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7ee","contributors":{"authors":[{"text":"Smith, Sigrid D. P.","contributorId":211810,"corporation":false,"usgs":false,"family":"Smith","given":"Sigrid","email":"","middleInitial":"D. P.","affiliations":[],"preferred":false,"id":754961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":195888,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","email":"dbunnell@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":754960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, G.A. Jr.","contributorId":91959,"corporation":false,"usgs":true,"family":"Burton","given":"G.A.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":754962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciborowski, Jan J. 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H.","affiliations":[],"preferred":false,"id":754963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, Alisha D.","contributorId":211813,"corporation":false,"usgs":false,"family":"Davidson","given":"Alisha","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":754964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dickinson, Caitlin E.","contributorId":211814,"corporation":false,"usgs":false,"family":"Dickinson","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":754965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eaton, Lauren A.","contributorId":211815,"corporation":false,"usgs":false,"family":"Eaton","given":"Lauren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":754966,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Esselman, Peter C. 0000-0002-0085-903X pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":5965,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":754967,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":754968,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kashian, Donna R.","contributorId":205602,"corporation":false,"usgs":false,"family":"Kashian","given":"Donna","email":"","middleInitial":"R.","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":754969,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Manning, Nathan F.","contributorId":211818,"corporation":false,"usgs":false,"family":"Manning","given":"Nathan F.","affiliations":[],"preferred":false,"id":754970,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":754971,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nalepa, Thomas F.","contributorId":211819,"corporation":false,"usgs":false,"family":"Nalepa","given":"Thomas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":754972,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Perez-Fuentetaja, Alicia","contributorId":211820,"corporation":false,"usgs":false,"family":"Perez-Fuentetaja","given":"Alicia","email":"","affiliations":[],"preferred":false,"id":754973,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Steinman, Alan D.","contributorId":190417,"corporation":false,"usgs":false,"family":"Steinman","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":754974,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Uzarski, Donald G.","contributorId":211821,"corporation":false,"usgs":false,"family":"Uzarski","given":"Donald","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":754975,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Allan, J. David","contributorId":211822,"corporation":false,"usgs":false,"family":"Allan","given":"J.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":754976,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70201717,"text":"70201717 - 2019 - Paleocene–Eocene Thermal Maximum prolonged by fossil carbon oxidation","interactions":[],"lastModifiedDate":"2019-01-28T11:33:31","indexId":"70201717","displayToPublicDate":"2019-01-28T11:33:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Paleocene–Eocene Thermal Maximum prolonged by fossil carbon oxidation","docAbstract":"A hallmark of the rapid and massive release of carbon during the Palaeocene–Eocene Thermal Maximum is the global negative carbon isotope excursion. The delayed recovery of the carbon isotope excursion, however, indicates that CO2 inputs continued well after the initial rapid onset, although there is no consensus about the source of this secondary carbon. Here we suggest this secondary input might have derived partly from the oxidation of remobilized sedimentary fossil carbon. We measured the biomarker indicators of thermal maturation in shelf records from the US Mid-Atlantic coast, constructed biomarker mixing models to constrain the amount of fossil carbon in US Mid-Atlantic and Tanzania coastal records, estimated the fossil carbon accumulation rate in coastal sediments and determined the range of global CO2 release from fossil carbon reservoirs. This work provides evidence for an order of magnitude increase in fossil carbon delivery to the oceans that began ~10–20 kyr after the event onset and demonstrates that the oxidation of remobilized fossil carbon released between 102 and 104 PgC as CO2 during the body of the Palaeocene–Eocene Thermal Maximum. The estimated mass is sufficient to have sustained the elevated atmospheric CO2 levels required by the prolonged global carbon isotope excursion. Even after considering uncertainties in the sedimentation rates, these results indicate that the enhanced erosion, mobilization and oxidation of ancient sedimentary carbon contributed to the delayed recovery of the climate system for many thousands of years.
","language":"English","publisher":"Nature","doi":"10.1038/s41561-018-0277-3","usgsCitation":"Lyons, S.L., Baczynski, A.A., Babila, T.L., Bralower, T.J., Hajek, E.A., Kump, L.R., Polites, E.G., Self-Trail, J., Trampush, S.M., Vornlocher, J.R., Zachos, J.C., and Freeman, K.H., 2019, Paleocene–Eocene Thermal Maximum prolonged by fossil carbon oxidation: Nature Geoscience, v. 12, p. 54-60, https://doi.org/10.1038/s41561-018-0277-3.","productDescription":"7 p.","startPage":"54","endPage":"60","ipdsId":"IP-099139","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":360725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-20","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7f2","contributors":{"authors":[{"text":"Lyons, Shelby L.","contributorId":211823,"corporation":false,"usgs":false,"family":"Lyons","given":"Shelby","email":"","middleInitial":"L.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baczynski, Allison A.","contributorId":211824,"corporation":false,"usgs":false,"family":"Baczynski","given":"Allison","email":"","middleInitial":"A.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Babila, Tali L.","contributorId":211825,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","email":"","middleInitial":"L.","affiliations":[{"id":38326,"text":"Earth & Planetary Sciences Department, University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":754979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bralower, Timothy J.","contributorId":211826,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hajek, Elizabeth A.","contributorId":195146,"corporation":false,"usgs":false,"family":"Hajek","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":754981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kump, Lee R.","contributorId":195147,"corporation":false,"usgs":false,"family":"Kump","given":"Lee","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":754982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Polites, Ellen G.","contributorId":211827,"corporation":false,"usgs":false,"family":"Polites","given":"Ellen","email":"","middleInitial":"G.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":754988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trampush, Sheila M.","contributorId":195148,"corporation":false,"usgs":false,"family":"Trampush","given":"Sheila","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":754984,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vornlocher, Jamie R.","contributorId":211828,"corporation":false,"usgs":false,"family":"Vornlocher","given":"Jamie","email":"","middleInitial":"R.","affiliations":[{"id":38327,"text":"School of Geosciences, University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":754985,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zachos, James C.","contributorId":211829,"corporation":false,"usgs":false,"family":"Zachos","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":38326,"text":"Earth & Planetary Sciences Department, University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":754986,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Freeman, Katherine H.","contributorId":211830,"corporation":false,"usgs":false,"family":"Freeman","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":13035,"text":"Department of Geosciences, Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754987,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70201720,"text":"70201720 - 2019 - Evaluating response distances to develop buffer zones for staging terns","interactions":[],"lastModifiedDate":"2019-01-28T11:27:29","indexId":"70201720","displayToPublicDate":"2019-01-28T11:26:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating response distances to develop buffer zones for staging terns","docAbstract":"Buffer zones, calculated by flight‐initiation distance (FID), are often used to reduce anthropogenic disturbances to wildlife, but FID can vary significantly across life‐history stages. We examined the behavioral effect of potential natural (gulls and shorebirds) and anthropogenic (pedestrians) disturbance sources to staging roseate (Sterna dougallii) and common tern (S. hirundo) flocks from July to September in 2014 and 2015 at Cape Cod, Massachusetts, USA. We estimated the proportion of the flock exhibiting different responses to potential disturbance sources as a function of distance, flock size, percent roseate terns, and local disturbance rates, using Bayesian zero‐and‐one inflated beta regression. The proportion of tern flocks responding to the presence of shorebirds by flying was low (0.01 ± 0.001 [SE]) and did not vary by distance or other covariates, whereas the proportion flying in response to gulls increased as distance decreased, with smaller flocks, and with flocks with a larger proportion of roseate terns being more sensitive to gull presence. Prolonged flight response rapidly increased in probability from 0.0 to as much as 1.0 as distance from pedestrians to the flock decreased from 100 m and was much more likely with smaller flocks. Pedestrian activity levels also had an effect on flock responses; those engaged in active behaviors such as jogging were more likely to cause flushing than those engaged in passive behaviors. Terns seemed to view pedestrians as more of a threat than shorebirds and gulls, even though gulls are frequent kleptoparasites of terns. Pedestrians >120 m from a tern flock generally elicited the same probability of flight response as shorebirds and gulls. We recommend managers maintain anthropogenic disturbance levels at or below the intensity of those from natural sources at sites where recreation and wildlife values are both important. Because staging tern flocks may use a variety of areas within a site, we recommend instituting a 100‐m buffer around areas potentially used by staging flocks at Cape Cod, where we studied every location roseate terns are known to use in large numbers. For other sites used by mixed‐species tern flocks, we recommend the use of our field and analytical methods to develop appropriate buffer distances that will keep pedestrians far enough away to reduce the likelihood of flight and other non‐locomotive anti‐predator behaviors. These buffer zones will also benefit other species sensitive to human activity.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21594","usgsCitation":"Althouse, M.A., Cohen, J.B., Karpanty, S.M., Spendelow, J.A., Davis, K.L., Parsons, K.C., and Luttazi, C.F., 2019, Evaluating response distances to develop buffer zones for staging terns: Journal of Wildlife Management, v. 83, no. 2, p. 260-271, https://doi.org/10.1002/jwmg.21594.","productDescription":"12 p.","startPage":"260","endPage":"271","ipdsId":"IP-086252","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/99164","text":"Publisher Index Page"},{"id":360723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-20","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7f6","contributors":{"authors":[{"text":"Althouse, Melissa A.","contributorId":211834,"corporation":false,"usgs":false,"family":"Althouse","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":754994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cohen, Jonathan B.","contributorId":211835,"corporation":false,"usgs":false,"family":"Cohen","given":"Jonathan","email":"","middleInitial":"B.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":754995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karpanty, Sarah M.","contributorId":63307,"corporation":false,"usgs":false,"family":"Karpanty","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":754996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spendelow, Jeffrey A. 0000-0001-8167-0898 jspendelow@usgs.gov","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":4355,"corporation":false,"usgs":true,"family":"Spendelow","given":"Jeffrey","email":"jspendelow@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":754993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davis, Kayla L.","contributorId":177595,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":754997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Katherine C.","contributorId":211836,"corporation":false,"usgs":false,"family":"Parsons","given":"Katherine","email":"","middleInitial":"C.","affiliations":[{"id":38328,"text":"Mass Audubon Coastal Waterbird Program","active":true,"usgs":false}],"preferred":false,"id":754998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luttazi, Cristin F.","contributorId":177596,"corporation":false,"usgs":false,"family":"Luttazi","given":"Cristin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":754999,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70201725,"text":"70201725 - 2019 - Comparing clustered sampling designs for spatially explicit estimation of population density","interactions":[],"lastModifiedDate":"2019-01-28T11:16:33","indexId":"70201725","displayToPublicDate":"2019-01-28T11:15:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Comparing clustered sampling designs for spatially explicit estimation of population density","docAbstract":"Spatially explicit capture–recapture methods do not assume that animals have equal access to sampling devices (e.g., detectors), which allows for gaps in the sampling extent and nonuniform (e.g., clustered) sampling designs. However, the performance (i.e., relative root mean squared error [RRMSE], confidence interval coverage, relative bias and relative standard error) of clustered detector arrays has not been thoroughly evaluated. I used simulations to evaluate the performance of various detector and cluster spacings, cluster configurations (i.e., number of detectors arranged in a square grid), sampling extents and number of sampling occasions for estimating population density, the relationship between detection rate and distance to a detector from the animal's center of activity (σ) and base detection rates, using American black bears (Ursus americanus) as a case study. My simulations indicated that a wide range of detector configurations can provide reliable estimates if spacing between detectors in clusters is ≥1σ and ≤3σ. A number of cluster configurations and occasion lengths produced estimates that were unbiased, resulted in good spatial coverage, and were relatively precise. Moreover, increasing the duration of sampling, establishing large study areas, increasing detection rates and spacing clusters so that cross‐cluster sampling of individuals can occur could help ameliorate deficiencies in the detector layout. These results have application for a wide array of species and sampling methods (e.g., DNA sampling, camera trapping, mark‐resight and search‐encounter) and suggest that clustered sampling can significantly reduce the effort necessary to provide reliable estimates of population density across large spatial extents that previously would have been infeasible with nonclustered sampling designs.
","language":"English","publisher":"Wiley","doi":"10.1002/1438-390x.1011","usgsCitation":"Clark, J.D., 2019, Comparing clustered sampling designs for spatially explicit estimation of population density: Population Ecology, v. 61, no. 1, p. 93-101, https://doi.org/10.1002/1438-390x.1011.","productDescription":"9 p.","startPage":"93","endPage":"101","ipdsId":"IP-093040","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":360720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-10","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7fa","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":755027,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201724,"text":"70201724 - 2019 - Allowable take of black vultures in the eastern United States","interactions":[],"lastModifiedDate":"2019-01-28T11:14:15","indexId":"70201724","displayToPublicDate":"2019-01-28T11:14:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Allowable take of black vultures in the eastern United States","docAbstract":"Black vultures (Coragyps atratus) have been increasing in density and expanding their range in the eastern United States since at least the 1960s. In many areas, their densities have increased to the level where they are causing damage to property and livestock and the number of requests for allowable take permits has increased throughout these areas. The United States Fish and Wildlife Service (USFWS) requires updated information to help inform the number of take permits that could reduce conflicts while meeting obligations under the Migratory Bird Treaty Act. We expanded analyses used to estimate allowable take in Virginia to cover the range of black vultures in the eastern United States. We used the prescribed take level approach, which integrates demographic rates, population size estimates, and management objectives into an estimate of allowable take. We provide estimates of allowable take at 4 different scales: individual states, Bird Conservation Regions, USFWS administrative regions, and flyways. Our updated population time series provides evidence of rapidly increasing black vulture populations in many regions of the eastern United States, with an overall population estimate of approximately 4.26 million in 2015 in the Atlantic and Mississippi Flyways. Estimated allowable take ranged from a few hundred individuals per year in states at the northern end of the species range to approximately 287,000/year over the entire eastern United States. The USFWS has no legal mandate regarding the spatial scale at which take should be managed and we found little biological evidence of subpopulation structure for black vultures in the eastern United States. We suggest that allowable take for the species be implemented at a scale that meets stakeholder objectives (e.g., reducing conflict, and ensuring that black vultures are not extirpated from local areas) and is efficient for administrative and monitoring purposes.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21608","usgsCitation":"Zimmerman, G.S., Millsap, B.A., Avery, M.L., Sauer, J.R., Runge, M.C., and Richkus, K.D., 2019, Allowable take of black vultures in the eastern United States: Journal of Wildlife Management, v. 83, no. 2, p. 272-282, https://doi.org/10.1002/jwmg.21608.","productDescription":"11 p.","startPage":"272","endPage":"282","ipdsId":"IP-098107","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7fe","contributors":{"authors":[{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":755022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millsap, Brian A.","contributorId":205391,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":755023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avery, Michael L.","contributorId":211841,"corporation":false,"usgs":false,"family":"Avery","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":755024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richkus, Kenneth D.","contributorId":34428,"corporation":false,"usgs":true,"family":"Richkus","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":755026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215503,"text":"70215503 - 2019 - Estimating lake–climate responses from sparse data: An application to high elevation lakes","interactions":[],"lastModifiedDate":"2020-10-21T14:54:27.846192","indexId":"70215503","displayToPublicDate":"2019-01-28T09:49:10","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Estimating lake–climate responses from sparse data: An application to high elevation lakes","docAbstract":"Although many studies demonstrate lake warming, few document trends from lakes with sparse data. Diel and seasonal variability of surface temperatures limit conventional trend analyses to datasets with frequent repeated observations. Thus, remote lakes, including many high elevation lakes, are underrepresented in trend analyses. We used a Bayesian technique to analyze sparse data that explicitly incorporated diel and seasonal variability. This approach allowed us to estimate lake warming in a region of limited knowledge: high elevation lakes (> 2100 m ASL) of the Southern Rocky Mountains, U.S.A. The analysis allowed for inclusion of lakes with few repeated measurements, and observations made before 1980 when more intensive lake monitoring began. We accumulated the largest dataset of high elevation lake temperatures analyzed to date. Data from 590 high elevation lakes in the Southern Rocky Mountains showed a 0.13°C decade−1 increase in surface temperatures and a 14% increase in seasonal degree days since 1955. This result is lower than other regional and global estimates of lake warming; however, it is similar to other high elevation lake studies. Our approach can be applied to other understudied regions, increasing our overall understanding of the effects of climate change on lakes and their temporal dynamics.
Interspecific competition is hypothesized to be a strong force that sets species range limits and drives parapatric distributions of closely related species on tropical mountains. Yet, experimental evidence that competition drives spatial segregation of closely related species on elevational gradients is rare. To test whether competition limits elevational ranges of tropical songbirds, we conducted reciprocal playback experiments on 2 pairs of species with adjacent but nonoverlapping (parapatric) distributions and 1 pair of sympatric species. We found asymmetric interspecific aggression in one parapatric pair (Pycnonotidae) and a complete absence of interspecific aggression in the other (Zosteropidae). We also found asymmetric interspecies aggression in a pair of sympatric flycatchers (Muscicapidae). Our results indicate that interspecific aggression may set range limits in some cases, but it is not a prerequisite for parapatry. Furthermore, the presence of interspecific aggression between co-occurring relatives suggests that while competition may play a role in limiting species distributions, interspecific aggression alone is not sufficient evidence to assert that competition is the primary driver of parapatric distributions.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/ary194","usgsCitation":"Boyce, A.J., and Martin, T.E., 2019, Interspecific aggression among parapatric and sympatric songbirds on a tropical elevational gradient: Behavioral Ecology, v. 30, no. 2, p. 541-547, https://doi.org/10.1093/beheco/ary194.","productDescription":"7 p.","startPage":"541","endPage":"547","ipdsId":"IP-097460","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/ary194","text":"Publisher Index Page"},{"id":394571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyce, Andy J.","contributorId":271252,"corporation":false,"usgs":false,"family":"Boyce","given":"Andy","email":"","middleInitial":"J.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":831224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831225,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}