The North American beaver (Castor canadensis) is a managed species in the United States. In northern Wisconsin, as part of the state-wide beaver management program, the Chequamegon-Nicolet National Forest removes beavers from targeted trout streams on U.S. Forest Service lands. However, the success of this management program has not been evaluated. Targeted removals comprise only 3% of the annual beaver harvest, a level of effort that may not affect the beaver population. We used colony location data along Forest streams from 1987–2013 (Nicolet, northeast Wisconsin) and 1997–2013 (Chequamegon, northwest Wisconsin) to assess trends in beaver colony density on targeted trout streams compared to non-targeted streams. On the Chequamegon, colony density on non-targeted trout and non-trout streams did not change over time, while colony density on targeted trout streams declined and then stabilized. On the Nicolet, beaver colony density decreased on both non-targeted streams and targeted trout streams. However, colony density on targeted trout streams declined faster. The impact of targeted trapping was similar across the two sides of the Forest (60% reduction relative to non-targeted trout streams). Exploratory analyses of weather influences found that very dry conditions and severe winters were associated with transient reductions in beaver colony density on non-targeted streams on both sides of the Forest. Our findings may help land management agencies weigh more finely calibrated beaver control measures against continued large-scale removal programs.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0170099","usgsCitation":"Ribic, C., Donner, D.M., Beck, A.J., Rugg, D.J., Reinecke, S., and Eklund, D., 2017, Beaver colony density trends on the Chequamegon-Nicolet National Forest, 1987 – 2013: PLoS ONE, v. 12, no. 1, p. 1-15, https://doi.org/10.1371/journal.pone.0170099.","productDescription":"e0170099; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-066625","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":461807,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0170099","text":"Publisher Index Page"},{"id":348705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Chequamegon-Nicolet National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.5,\n 45\n ],\n [\n -88.505859375,\n 45\n ],\n [\n -88.505859375,\n 46.81133924039194\n ],\n [\n -91.5,\n 46.81133924039194\n ],\n [\n -91.5,\n 45\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23beb","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Albert J.","contributorId":200078,"corporation":false,"usgs":false,"family":"Beck","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rugg, David J.","contributorId":171931,"corporation":false,"usgs":false,"family":"Rugg","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":721835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reinecke, Sue","contributorId":200301,"corporation":false,"usgs":false,"family":"Reinecke","given":"Sue","email":"","affiliations":[],"preferred":false,"id":721836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eklund, Dan","contributorId":200080,"corporation":false,"usgs":false,"family":"Eklund","given":"Dan","email":"","affiliations":[],"preferred":false,"id":721837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179304,"text":"70179304 - 2017 - Challenges with secondary use of multi-source water-quality data in the United States","interactions":[],"lastModifiedDate":"2017-01-03T10:15:39","indexId":"70179304","displayToPublicDate":"2016-12-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Challenges with secondary use of multi-source water-quality data in the United States","docAbstract":"Combining water-quality data from multiple sources can help counterbalance diminishing resources for stream monitoring in the United States and lead to important regional and national insights that would not otherwise be possible. Individual monitoring organizations understand their own data very well, but issues can arise when their data are combined with data from other organizations that have used different methods for reporting the same common metadata elements. Such use of multi-source data is termed “secondary use”—the use of data beyond the original intent determined by the organization that collected the data. In this study, we surveyed more than 25 million nutrient records collected by 488 organizations in the United States since 1899 to identify major inconsistencies in metadata elements that limit the secondary use of multi-source data. Nearly 14.5 million of these records had missing or ambiguous information for one or more key metadata elements, including (in decreasing order of records affected) sample fraction, chemical form, parameter name, units of measurement, precise numerical value, and remark codes. As a result, metadata harmonization to make secondary use of these multi-source data will be time consuming, expensive, and inexact. Different data users may make different assumptions about the same ambiguous data, potentially resulting in different conclusions about important environmental issues. The value of these ambiguous data is estimated at \\$US12 billion, a substantial collective investment by water-resource organizations in the United States. By comparison, the value of unambiguous data is estimated at \\$US8.2 billion. The ambiguous data could be preserved for uses beyond the original intent by developing and implementing standardized metadata practices for future and legacy water-quality data throughout the United States.
","language":"English","publisher":"International Association on Water Pollution Research","publisherLocation":"Amsterdam","doi":"10.1016/j.watres.2016.12.024","usgsCitation":"Sprague, L.A., Oelsner, G.P., and Argue, D.M., 2017, Challenges with secondary use of multi-source water-quality data in the United States: Water Research, v. 110, p. 252-261, https://doi.org/10.1016/j.watres.2016.12.024.","productDescription":"10 p.","startPage":"252","endPage":"261","ipdsId":"IP-078333","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":470186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2016.12.024","text":"Publisher Index Page"},{"id":332569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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States\"}}]}","volume":"110","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd4ae4b0cd2dabe7c1c5","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":656681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oelsner, Gretchen P. 0000-0001-9329-7357 goelsner@usgs.gov","orcid":"https://orcid.org/0000-0001-9329-7357","contributorId":4440,"corporation":false,"usgs":true,"family":"Oelsner","given":"Gretchen","email":"goelsner@usgs.gov","middleInitial":"P.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":656683,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179284,"text":"70179284 - 2017 - The practice of prediction: What can ecologists learn from applied, ecology-related fields?","interactions":[],"lastModifiedDate":"2017-12-11T14:01:21","indexId":"70179284","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"The practice of prediction: What can ecologists learn from applied, ecology-related fields?","docAbstract":"The pervasive influence of human induced global environmental change affects biodiversity across the globe, and there is great uncertainty as to how the biosphere will react on short and longer time scales. To adapt to what the future holds and to manage the impacts of global change, scientists need to predict the expected effects with some confidence and communicate these predictions to policy makers. However, recent reviews found that we currently lack a clear understanding of how predictable ecology is, with views seeing it as mostly unpredictable to potentially predictable, at least over short time frames. However, in applied, ecology-related fields predictions are more commonly formulated and reported, as well as evaluated in hindsight, potentially allowing one to define baselines of predictive proficiency in these fields. We searched the literature for representative case studies in these fields and collected information about modeling approaches, target variables of prediction, predictive proficiency achieved, as well as the availability of data to parameterize predictive models. We find that some fields such as epidemiology achieve high predictive proficiency, but even in the more predictive fields proficiency is evaluated in different ways. Both phenomenological and mechanistic approaches are used in most fields, but differences are often small, with no clear superiority of one approach over the other. Data availability is limiting in most fields, with long-term studies being rare and detailed data for parameterizing mechanistic models being in short supply. We suggest that ecologists adopt a more rigorous approach to report and assess predictive proficiency, and embrace the challenges of real world decision making to strengthen the practice of prediction in ecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2016.12.005","usgsCitation":"Pennekamp, F., Adamson, M., Petchey, O.L., Poggiale, J., Aguiar, M., Kooi, B.W., Botkin, D.B., and DeAngelis, D.L., 2017, The practice of prediction: What can ecologists learn from applied, ecology-related fields?: Ecological Complexity, v. 32, no. B, p. 156-167, https://doi.org/10.1016/j.ecocom.2016.12.005.","productDescription":"12 p.","startPage":"156","endPage":"167","onlineOnly":"Y","ipdsId":"IP-074291","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5167/uzh-134675","text":"Publisher Index Page"},{"id":332565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"B","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd4de4b0cd2dabe7c1c9","contributors":{"authors":[{"text":"Pennekamp, Frank","contributorId":177677,"corporation":false,"usgs":false,"family":"Pennekamp","given":"Frank","email":"","affiliations":[],"preferred":false,"id":656646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamson, Matthew","contributorId":177678,"corporation":false,"usgs":false,"family":"Adamson","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":656647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petchey, Owen L","contributorId":177679,"corporation":false,"usgs":false,"family":"Petchey","given":"Owen","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":656648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poggiale, Jean-Christophe","contributorId":177680,"corporation":false,"usgs":false,"family":"Poggiale","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":656649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguiar, Maira","contributorId":177681,"corporation":false,"usgs":false,"family":"Aguiar","given":"Maira","email":"","affiliations":[],"preferred":false,"id":656650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kooi, Bob W.","contributorId":152069,"corporation":false,"usgs":false,"family":"Kooi","given":"Bob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":656651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":656652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":656645,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70206542,"text":"70206542 - 2017 - Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","interactions":[],"lastModifiedDate":"2019-11-08T09:55:46","indexId":"70206542","displayToPublicDate":"2016-12-16T09:51:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","docAbstract":"The lack of landmasses, climatological low pressure, and strong circumpolar westerly winds between the latitudes of 50°S to 65°S produce exceptional storm‐driven wave conditions in the Southern Ocean. This combination makes the Antarctic Peninsula one of Earth's most notable regions of high‐amplitude wave activity and thus, ocean‐swell‐driven microseism noise in both the primary (direct wave‐coastal region interactions) and secondary (direct ocean floor forcing due to interacting wave trains) period bands. Microseism observations are examined across 23 years (1993–2015) from Palmer Station (PMSA), on the west coast of the Antarctic Peninsula, and from East Falkland Island (EFI). These records provide a spatially integrative measure of both Southern Ocean wave amplitudes and the interactions between ocean waves and the solid Earth in the presence of sea ice, which can reduce wave coupling with the continental shelf. We utilize a spatiotemporal correlation‐based approach to illuminate how the distribution of sea ice influences seasonal microseism power. We characterize primary and secondary microseism power due to variations in sea ice and find that primary microseism energy is both more sensitive to sea ice and more capable of propagating across ocean basins than secondary microseism energy. During positive phases of the Southern Annular Mode, sea ice is reduced in the Bellingshausen Sea and overall storm activity in the Drake Passage increases, thus strongly increasing microseism power levels.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JF004098","usgsCitation":"Anthony, R.E., Aster, R.C., and Mcgrath, D., 2017, Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula: Journal of Geophysical Research: Earth Surface, v. 122, no. 1, p. 153-166, https://doi.org/10.1002/2016JF004098.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-080931","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jf004098","text":"Publisher Index Page"},{"id":369085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Antarctic Penninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.296875,\n -82.9403268016951\n ],\n [\n 2.4609375,\n -82.9403268016951\n ],\n [\n 2.4609375,\n -60.32694774299839\n ],\n [\n -89.296875,\n -60.32694774299839\n ],\n [\n -89.296875,\n -82.9403268016951\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E.","contributorId":220411,"corporation":false,"usgs":false,"family":"Anthony","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":774918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178111,"text":"70178111 - 2017 - Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","interactions":[],"lastModifiedDate":"2017-11-18T12:11:31","indexId":"70178111","displayToPublicDate":"2016-12-13T17:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","docAbstract":"Earthquake data from two short-period ocean-bottom seismometer (OBS) networks deployed for over a year on the continental slope off New York and southern New England were used to evaluate seismicity and ground motions along the continental margin. Our OBS networks located only one earthquake of Mc∼1.5 near the shelf edge during six months of recording, suggesting that seismic activity (MLg>3.0) of the margin as far as 150–200 km offshore is probably successfully monitored by land stations without the need for OBS deployments. The spectral acceleration from two local earthquakes recorded by the OBS was found to be generally similar to the acceleration from these earthquakes recorded at several seismic stations on land and to hybrid empirical acceleration relationships for eastern North America. Therefore, the seismic attenuation used for eastern North America can be extended in this region at least to the continental slope. However, additional offshore studies are needed to verify these preliminary conclusions.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160079","usgsCitation":"Flores, C., ten Brink, U., McGuire, J.J., and Collins, J., 2017, Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data: Seismological Research Letters, v. 88, no. 1, p. 23-31, https://doi.org/10.1785/0220160079.","productDescription":"9 p.","startPage":"23","endPage":"31","ipdsId":"IP-079590","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470195,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8672","text":"External Repository"},{"id":332087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73,\n 37.5\n ],\n [\n -73,\n 41.5\n ],\n [\n -69,\n 41.5\n ],\n [\n -69,\n 37.5\n ],\n [\n -73,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"88","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"585116b5e4b08138bf1abd42","contributors":{"authors":[{"text":"Flores, Claudia cflores@usgs.gov","contributorId":4265,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":655841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":655842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, John A. jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70176605,"text":"70176605 - 2017 - A trans-national monarch butterfly population model and implications for regional conservation priorities","interactions":[],"lastModifiedDate":"2020-09-01T14:14:13.510333","indexId":"70176605","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1455,"text":"Ecological Entomology","active":true,"publicationSubtype":{"id":10}},"title":"A trans-national monarch butterfly population model and implications for regional conservation priorities","docAbstract":"1. The monarch has undergone considerable population declines over the past decade, and the governments of Mexico, Canada, and the United States have agreed to work together to conserve the species.
2. Given limited resources, understanding where to focus conservation action is key for widespread species like monarchs. To support planning for continental-scale monarch habitat restoration, we address the question of where restoration efforts are likely to have the largest impacts on monarch butterfly (Danaus plexippus Linn.) population growth rates.
3. We present a spatially explicit demographic model simulating the multi-generational annual cycle of the eastern monarch population, and use the model to examine management scenarios, some of which focus on particular regions of North America.
4. Improving the monarch habitat in the north central or southern parts of the monarch range yields a slightly greater increase in the population growth rate than restoration in other regions. However, combining restoration efforts across multiple regions yields population growth rates above 1 with smaller simulated improvements in habitat per region than single-region strategies.
5. Synthesis and applications: These findings suggest that conservation investment in projects across the full monarch range will be more effective than focusing on one or a few regions, and will require international cooperation across many land use categories.
","language":"English","publisher":"Wiley","doi":"10.1111/een.12351","usgsCitation":"Oberhauser, K., Wiederholt, R., Diffendorfer, J., Semmens, D.J., Ries, L., Thogmartin, W.E., Lopez-Hoffman, L., and Semmens, B., 2017, A trans-national monarch butterfly population model and implications for regional conservation priorities: Ecological Entomology, v. 42, no. 1, p. 51-60, https://doi.org/10.1111/een.12351.","productDescription":"10 p.","startPage":"51","endPage":"60","ipdsId":"IP-068737","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":331812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"584bd0dbe4b077fc20250dfa","chorus":{"doi":"10.1111/een.12351","url":"http://dx.doi.org/10.1111/een.12351","publisher":"Wiley-Blackwell","authors":"OBERHAUSER KAREN, WIEDERHOLT RUSCENA, DIFFENDORFER JAY E., SEMMENS DARIUS, RIES LESLIE, THOGMARTIN WAYNE E., LOPEZ-HOFFMAN LAURA, SEMMENS BRICE","journalName":"Ecological Entomology","publicationDate":"10/21/2016","publiclyAccessibleDate":"10/21/2016"},"contributors":{"authors":[{"text":"Oberhauser, Karen","contributorId":21059,"corporation":false,"usgs":true,"family":"Oberhauser","given":"Karen","affiliations":[],"preferred":false,"id":649351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":649352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":649353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ries, Leslie","contributorId":50034,"corporation":false,"usgs":true,"family":"Ries","given":"Leslie","affiliations":[],"preferred":false,"id":649354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":649355,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":649356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semmens, Brice","contributorId":19870,"corporation":false,"usgs":true,"family":"Semmens","given":"Brice","affiliations":[],"preferred":false,"id":649357,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70178624,"text":"70178624 - 2017 - Primary sources and toxicity of PAHs in Milwaukee-area streambed sediment","interactions":[],"lastModifiedDate":"2017-06-01T10:46:10","indexId":"70178624","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2017","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":"Primary sources and toxicity of PAHs in Milwaukee-area streambed sediment","docAbstract":"High concentrations of polycyclic aromatic hydrocarbons (PAHs) in streams can be a significant stressor to aquatic organisms. To understand the likely sources and toxicity of PAHs in Milwaukee-area streams, streambed sediment samples from 40 sites and parking lot dust samples from 6 sites were analyzed for 38 parent PAHs and 25 alkylated PAHs. Diagnostic ratios, profile correlations, principal components analysis, source-receptor modeling, and mass fractions analysis were used to identify potential PAH sources to streambed sediment samples, and land-use analysis was used to relate streambed sediment PAH concentrations to different urban-related land uses. On the basis of this multiple lines-of-evidence approach, coal-tar pavement sealant was indicated as the primary source of PAHs in a majority of streambed sediment samples, contributing an estimated 77% of total PAHs to samples, on average. Comparison to the Probable Effect Concentrations and (or) the Equilibrium Partitioning Sediment Benchmark indicates that 78% of stream sediment samples are likely to cause adverse effects to benthic organisms. Laboratory toxicity tests on a 16-sample subset of the streambed sites using the amphipod Hyalella azteca (28-day) and the midge Chironomus dilutus (10-day) measured significant reductions in one or more biological endpoints, including survival, in 75% of samples, with H. azteca more responsive than C. dilutus.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","publisherLocation":"New York, NY","doi":"10.1002/etc.3694","usgsCitation":"Baldwin, A.K., Corsi, S., Lutz, M.A., Ingersoll, C.G., Dorman, R.A., Magruder, C., and Magruder, M., 2017, Primary sources and toxicity of PAHs in Milwaukee-area streambed sediment: Environmental Toxicology and Chemistry, v. 36, no. 6, p. 1622-1635, https://doi.org/10.1002/etc.3694.","productDescription":"14 p.","startPage":"1622","endPage":"1635","ipdsId":"IP-077436","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":470200,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.3694","text":"Publisher Index Page"},{"id":331389,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.23394775390625,\n 42.88300840687993\n ],\n [\n -88.23394775390625,\n 43.329173667843904\n ],\n [\n -87.791748046875,\n 43.329173667843904\n ],\n [\n -87.791748046875,\n 42.88300840687993\n ],\n [\n -88.23394775390625,\n 42.88300840687993\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-24","publicationStatus":"PW","scienceBaseUri":"584144dce4b04fc80e507378","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":654615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. srcorsi@usgs.gov","contributorId":131018,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutz, Michelle A. malutz@usgs.gov","contributorId":131020,"corporation":false,"usgs":true,"family":"Lutz","given":"Michelle","email":"malutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":654617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":654618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":654619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magruder, Christopher","contributorId":35995,"corporation":false,"usgs":true,"family":"Magruder","given":"Christopher","affiliations":[],"preferred":false,"id":654620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magruder, Matthew","contributorId":75432,"corporation":false,"usgs":true,"family":"Magruder","given":"Matthew","affiliations":[],"preferred":false,"id":654621,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178512,"text":"70178512 - 2017 - Spatially explicit modeling in ecology: A review","interactions":[],"lastModifiedDate":"2017-03-03T11:18:05","indexId":"70178512","displayToPublicDate":"2016-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit modeling in ecology: A review","docAbstract":"The use of spatially explicit models (SEMs) in ecology has grown enormously in the past two decades. One major advancement has been that fine-scale details of landscapes, and of spatially dependent biological processes, such as dispersal and invasion, can now be simulated with great precision, due to improvements in computer technology. Many areas of modeling have shifted toward a focus on capturing these fine-scale details, to improve mechanistic understanding of ecosystems. However, spatially implicit models (SIMs) have played a dominant role in ecology, and arguments have been made that SIMs, which account for the effects of space without specifying spatial positions, have an advantage of being simpler and more broadly applicable, perhaps contributing more to understanding. We address this debate by comparing SEMs and SIMs in examples from the past few decades of modeling research. We argue that, although SIMs have been the dominant approach in the incorporation of space in theoretical ecology, SEMs have unique advantages for addressing pragmatic questions concerning species populations or communities in specific places, because local conditions, such as spatial heterogeneities, organism behaviors, and other contingencies, produce dynamics and patterns that usually cannot be incorporated into simpler SIMs. SEMs are also able to describe mechanisms at the local scale that can create amplifying positive feedbacks at that scale, creating emergent patterns at larger scales, and therefore are important to basic ecological theory. We review the use of SEMs at the level of populations, interacting populations, food webs, and ecosystems and argue that SEMs are not only essential in pragmatic issues, but must play a role in the understanding of causal relationships on landscapes.
","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0066-z","usgsCitation":"DeAngelis, D., and Yurek, S., 2017, Spatially explicit modeling in ecology: A review: Ecosystems, v. 20, no. 2, p. 284-300, https://doi.org/10.1007/s10021-016-0066-z.","productDescription":"17 p.","startPage":"284","endPage":"300","ipdsId":"IP-073254","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"58356729e4b0070c0abfb6d4","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":654206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654207,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178448,"text":"70178448 - 2017 - Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA","interactions":[],"lastModifiedDate":"2016-11-21T14:18:58","indexId":"70178448","displayToPublicDate":"2016-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA","docAbstract":"The purchase of private land for conservation purposes is a common way to prevent the exploitation of sensitive ecological areas. However, private land conservation can also provide other benefits, one of these being natural hazard reduction. Here, we investigated the impacts of private land conservation on fire risk to homes in San Diego County, California. We coupled an econometric land use change model with a model that estimates the probability of house loss due to fire in order to compare fire risk at the county and municipality scale under alternative private land purchasing schemes and over a 20 year time horizon. We found that conservation purchases could reduce fire risk on this landscape, and the amount of risk reduction was related to the targeting approach used to choose which parcels were conserved. Conservation land purchases that targeted parcels designated as high fire hazard resulted in lower fire risk to homes than purchases that targeted low costs or high likelihood to subdivide. This result was driven by (1) preventing home placement in fire prone areas and (2) taking land off the market, and hence increasing development densities in other areas. These results raise the possibility that resource conservation and fire hazard reduction may benefit from combining efforts. With adequate planning, future conservation purchases could have synergistic effects beyond just protecting ecologically sensitive areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2016.05.002","usgsCitation":"Butsic, V., Syphard, A.D., Keeley, J.E., and Bar-Massada, A., 2017, Can private land conservation reduce wildfire risk to homes? 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PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583415aae4b0070c0abed80c","contributors":{"authors":[{"text":"Butsic, Van","contributorId":11524,"corporation":false,"usgs":true,"family":"Butsic","given":"Van","affiliations":[],"preferred":false,"id":654176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, Alexandra D.","contributorId":8977,"corporation":false,"usgs":false,"family":"Syphard","given":"Alexandra","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":654177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":654178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bar-Massada, Avi","contributorId":172973,"corporation":false,"usgs":false,"family":"Bar-Massada","given":"Avi","affiliations":[{"id":27129,"text":"Dep't Biology and Environment, U of Haifa at Oranim, Israel","active":true,"usgs":false}],"preferred":false,"id":654179,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178045,"text":"70178045 - 2017 - How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","interactions":[],"lastModifiedDate":"2017-05-15T17:19:32","indexId":"70178045","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","docAbstract":"Given rapid changes in agricultural practice, it is critical to understand how alterations in ecological, technological, and economic conditions over time and space impact ecosystem services in agroecosystems. Here, we present a benefit transfer approach to quantify cotton pest-control services provided by a generalist predator, the Mexican free-tailed bat (Tadarida brasiliensis mexicana), in the southwestern United States. We show that pest-control estimates derived using (1) a compound spatial–temporal model – which incorporates spatial and temporal variability in crop pest-control service values – are likely to exhibit less error than those derived using (2) a simple-spatial model (i.e., a model that extrapolates values derived for one area directly, without adjustment, to other areas) or (3) a simple-temporal model (i.e., a model that extrapolates data from a few points in time over longer time periods). Using our compound spatial–temporal approach, the annualized pest-control value was \\$12.2 million, in contrast to an estimate of \\$70.1 million (5.7 times greater), obtained from the simple-spatial approach. Using estimates from one year (simple-temporal approach) revealed large value differences (0.4 times smaller to 2 times greater). Finally, we present a detailed protocol for valuing pest-control services, which can be used to develop robust pest-control transfer functions for generalist predators in agroecosystems.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21513732.2016.1240712","usgsCitation":"Wiederholt, R., Bagstad, K.J., McCracken, G.F., Diffendorfer, J.E., Loomis, J., Semmens, D.J., Russell, A.L., Sansone, C., LaSharr, K., Cryan, P.M., Reynoso, C., Medellin, R., and Lopez-Hoffman, L., 2017, Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.: International Journal of Biodiversity Science, Ecosystem Services and Management, v. 13, no. 1, p. 27-39, https://doi.org/10.1080/21513732.2016.1240712.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-056064","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":470211,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":652488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCracken, Gary F.","contributorId":94789,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":652489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":652490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loomis, John B.","contributorId":27560,"corporation":false,"usgs":true,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":652491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":652492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Amy L.","contributorId":143710,"corporation":false,"usgs":false,"family":"Russell","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":15305,"text":"Grand Valley State University","active":true,"usgs":false}],"preferred":false,"id":652493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sansone, Chris","contributorId":44832,"corporation":false,"usgs":true,"family":"Sansone","given":"Chris","email":"","affiliations":[],"preferred":false,"id":652494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LaSharr, Kelsie","contributorId":108397,"corporation":false,"usgs":true,"family":"LaSharr","given":"Kelsie","email":"","affiliations":[],"preferred":false,"id":652495,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":652496,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reynoso, Claudia","contributorId":176490,"corporation":false,"usgs":false,"family":"Reynoso","given":"Claudia","email":"","affiliations":[],"preferred":false,"id":652497,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Medellin, Rodrigo A.","contributorId":77456,"corporation":false,"usgs":true,"family":"Medellin","given":"Rodrigo A.","affiliations":[],"preferred":false,"id":652498,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":652499,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70177917,"text":"70177917 - 2017 - Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","interactions":[],"lastModifiedDate":"2017-01-03T16:09:01","indexId":"70177917","displayToPublicDate":"2016-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","docAbstract":"Within the context of climate change, there is a pressing need to better understand the ecological implications of changes in the frequency and intensity of climate extremes. Along subtropical coasts, less frequent and warmer freeze events are expected to permit freeze-sensitive mangrove forests to expand poleward and displace freeze-tolerant salt marshes. Here, our aim was to better understand the drivers of poleward mangrove migration by quantifying spatiotemporal patterns in mangrove range expansion and contraction across land-ocean temperature gradients. Our work was conducted in a freeze-sensitive mangrove-marsh transition zone that spans a land-ocean temperature gradient in one of the world's most wetland-rich regions (Mississippi River Deltaic Plain; Louisiana, USA). We used historical air temperature data (1893-2014), alternative future climate scenarios, and coastal wetland coverage data (1978-2011) to investigate spatiotemporal fluctuations and climate-wetland linkages. Our analyses indicate that changes in mangrove coverage have been controlled primarily by extreme freeze events (i.e., air temperatures below a threshold zone of -6.3 to -7.6 °C). We expect that in the past 121 years, mangrove range expansion and contraction has occurred across land-ocean temperature gradients. Mangrove resistance, resilience, and dominance were all highest in areas closer to the ocean where temperature extremes were buffered by large expanses of water and saturated soil. Under climate change, these areas will likely serve as local hotspots for mangrove dispersal, growth, range expansion, and displacement of salt marsh. Collectively, our results show that the frequency and intensity of freeze events across land-ocean temperature gradients greatly influences spatiotemporal patterns of range expansion and contraction of freeze-sensitive mangroves. We expect that, along subtropical coasts, similar processes govern the distribution and abundance of other freeze-sensitive organisms. In broad terms, our findings can be used to better understand and anticipate the ecological effects of changing winter climate extremes, especially within the transition zone between tropical and temperate climates.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1625","usgsCitation":"Osland, M.J., Day, R.H., Hall, C., Brumfield, M.D., Dugas, J., and Jones, W.R., 2017, Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients: Ecology, v. 98, no. 1, p. 125-137, https://doi.org/10.1002/ecy.1625.","productDescription":"13 p.","startPage":"125","endPage":"137","ipdsId":"IP-071497","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93,\n 29.1\n ],\n [\n -93,\n 30.6\n ],\n [\n -89.3,\n 30.6\n ],\n [\n -89.3,\n 29.1\n ],\n [\n -93,\n 29.1\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5811c0f1e4b0f497e79a5a69","chorus":{"doi":"10.1002/ecy.1625","url":"http://dx.doi.org/10.1002/ecy.1625","publisher":"Wiley-Blackwell","authors":"Osland Michael J., Day Richard H., Hall Courtney T., Brumfield Marisa D., Dugas Jason L., Jones William R.","journalName":"Ecology","publicationDate":"12/9/2016","auditedOn":"12/17/2016","publiclyAccessibleDate":"12/9/2016"},"contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumfield, Marisa D","contributorId":176329,"corporation":false,"usgs":false,"family":"Brumfield","given":"Marisa","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":652224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugas, Jason 0000-0001-6094-7560 dugasj@usgs.gov","orcid":"https://orcid.org/0000-0001-6094-7560","contributorId":2996,"corporation":false,"usgs":true,"family":"Dugas","given":"Jason","email":"dugasj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70177068,"text":"70177068 - 2017 - Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","interactions":[],"lastModifiedDate":"2018-10-22T09:18:20","indexId":"70177068","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","docAbstract":"Ion-adsorbed rare earth element (REE) deposits supply the majority of world heavy REE production and substantial light REE production, but relatively little is known of their occurrence outside Southeast Asia. We examined the distribution and forms of REEs on a North American pluton located in the highly weathered and slowly eroding South Carolina Piedmont. The Hercynian Liberty Hill pluton experiences a modern climate that includes ~ 1500 mm annual rainfall and a mean annual temperature of 17 °C. The pluton is medium- to coarse-grained biotite-amphibole granite with minor biotite granite facies. REE-bearing phases are diverse and include monazite, zircon, titanite, allanite, apatite and bastnäsite. Weathered profiles were sampled up to 7 m-deep across the ~ 400 km2 pluton. In one profile, ion-adsorbed REEs plus yttrium (REE + Y) ranged up to 581 mg/kg and accounted for up to 77% of total REE + Y in saprolite. In other profiles, ion-adsorbed REE + Y ranged 12–194 mg/kg and only accounted for 3–37% of totals. The profile most enriched in ion-adsorbed REEs was located along the mapped boundary of two granite facies and contained trioctahedral smectite in the saprolite, evidence suggestive of hydrothermal alteration of biotite at that location. Post-emplacement deuteric alteration can generate easily weathered REE phases, particularly fluorocarbonates. In the case of Liberty Hill, hydrothermal alteration may have converted less soluble to more soluble REE minerals. Additionally, regolith P content was inversely correlated with the fraction ion-adsorbed REEs, and weathering related secondary REE-phosphates were found in some regolith profiles. Both patterns illustrate how low P content aids in the accumulation of ion-adsorbed REEs. The localized occurrence at Liberty Hill sheds light on conditions and processes that generate ion-adsorbed REEs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2016.09.009","usgsCitation":"Bern, C., Yesavage, T., and Foley, N.K., 2017, Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration: Journal of Geochemical Exploration, v. 172, p. 29-40, https://doi.org/10.1016/j.gexplo.2016.09.009.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-075234","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":470217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2016.09.009","text":"Publisher Index Page"},{"id":329737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Liberty Hill Pluton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.75818061828613,\n 34.49562815822762\n ],\n [\n -80.75818061828613,\n 34.50447006777167\n ],\n [\n -80.74298858642577,\n 34.50447006777167\n ],\n [\n -80.74298858642577,\n 34.49562815822762\n ],\n [\n -80.75818061828613,\n 34.49562815822762\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"172","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088684e4b0f497e78e24b3","chorus":{"doi":"10.1016/j.gexplo.2016.09.009","url":"http://dx.doi.org/10.1016/j.gexplo.2016.09.009","publisher":"Elsevier BV","authors":"Bern Carleton R., Yesavage Tiffany, Foley Nora K.","journalName":"Journal of Geochemical Exploration","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":657,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":651205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany","contributorId":175456,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":651206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":651207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176843,"text":"70176843 - 2017 - Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea","interactions":[],"lastModifiedDate":"2017-01-13T15:20:15","indexId":"70176843","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea","docAbstract":"To assess the status of research on wildlife diseases in the Republic of Korea (ROK) and to identify trends, knowledge gaps, and directions for future research, we reviewed epidemiologic publications on wildlife-associated diseases in the ROK. We identified a relatively small but rapidly increasing body of literature. The majority of publications were focused on public or livestock health and relatively few addressed wildlife health. Most studies that focused on human and livestock health were cross-sectional whereas wildlife health studies were mostly case reports. Fifteen diseases notifiable to the World Organisation for Animal Health were identified and 21 diseases were identified as notifiable to either the Korean Ministry of Health, Welfare, and Family Affairs or the Korean Ministry of Agriculture. Two diseases were reported as occurring as epidemics; highly pathogenic avian influenza (HPAI) and virulent Newcastle disease. Six diseases or disease agents were described in the literature as emerging including HPAI, rabies, Babesia microti, avian coronaviruses, scrub typhus, and severe fever thrombocytopenia syndrome virus. The diseases for which there were the largest number of publications were HPAI and rabies. The majority of wildlife-associated zoonotic disease publications focused on food-borne parasitic infections or rodent-associated diseases. Several publications focused on the potential of wildlife as reservoirs of livestock diseases; in particular, water deer (Hydropotes inermis) and wild boar (Sus scrofa). In contrast, there were few publications on diseases of concern for wildlife populations or research to understand the impacts of these diseases for wildlife management. Increased focus on prospective studies would enhance understanding of disease dynamics in wildlife populations. For the high-consequence diseases that impact multiple sectors, a One Health approach, with coordination among the public health, agricultural, and environmental sectors, would be important. This type of review can provide useful information for countries or regions planning or implementing national wildlife health programs.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2015-12-348","usgsCitation":"Hwang, J., Lee, K., Kim, Y., Sleeman, J.M., and Lee, H., 2017, Retrospective analysis of the epidemiologic literature, 1990–2015, on wildlife-associated diseases from the Republic of Korea: Journal of Wildlife Diseases, v. 53, no. 1, p. 5-18, https://doi.org/10.7589/2015-12-348.","productDescription":"14 p.","startPage":"5","endPage":"18","ipdsId":"IP-071589","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":329421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Korea","volume":"53","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe679be4b0824b2d143701","contributors":{"authors":[{"text":"Hwang, Jusun","contributorId":175221,"corporation":false,"usgs":false,"family":"Hwang","given":"Jusun","email":"","affiliations":[{"id":27539,"text":"College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Kyunglee","contributorId":175223,"corporation":false,"usgs":false,"family":"Lee","given":"Kyunglee","email":"","affiliations":[{"id":27540,"text":"Cetacean Research Institute, National Fisheries Research and Development Institute, Ulsan, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Young-Jun","contributorId":175224,"corporation":false,"usgs":false,"family":"Kim","given":"Young-Jun","email":"","affiliations":[{"id":27541,"text":"Department of Veterinary Medicine, National Institute of Ecology, Geumgangro 1210, Maseo-myeon, Seocheon-gun, Chungnam-Do, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":650487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Hang","contributorId":175222,"corporation":false,"usgs":false,"family":"Lee","given":"Hang","affiliations":[{"id":27539,"text":"College of Veterinary Medicine, Seoul National University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":650489,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176709,"text":"70176709 - 2017 - Factors influencing movement of two migratory fishes within the tailrace of a large neotropical dam and their implications for hydropower impacts","interactions":[],"lastModifiedDate":"2017-11-22T17:05:57","indexId":"70176709","displayToPublicDate":"2016-10-03T14:50:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing movement of two migratory fishes within the tailrace of a large neotropical dam and their implications for hydropower impacts","docAbstract":"Fish attempting to move upstream through hydroelectric dams can be trapped and killed in turbines. Understanding fish movement patterns can provide useful insights for how to manage dam operations to minimize fish kill in turbines. We evaluated the movements of two migratory fish (Curimba-Prochilodus argenteus and Mandi-Pimelodus maculatus) using acoustic telemetry in the tailrace of Três Marias Dam (São Francisco River, Brazil) from 31 October 2011 to 16 February 2012. The majority of tagged fish left the tailrace in less than one week; however, some individuals returned, performing several visits to the tailrace. Mandi remained longer in the tailrace than Curimba. The number of visits was influenced by diel period, turbine and spillway discharge. Although the diel period was the only important contributor to the visits performed by Curimba, the movements of Mandi were significantly influenced by three factors. We found that whereas Curimba was predominantly diurnal, Mandi showed nocturnal habits. Additionally, visits of Mandi were significantly greater during higher turbine and spillway discharge. We discuss the implications of these results for understanding fish movements in the Três Marias Dam tailrace and their potential implications for adapting hydroelectric operations to minimize fish kills.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3105","usgsCitation":"Suzuki, F.M., Dunham, J.B., Silva, L.G., Alves, C.B., and Pompeu, P., 2017, Factors influencing movement of two migratory fishes within the tailrace of a large neotropical dam and their implications for hydropower impacts: River Research and Applications, v. 33, no. 4, p. 514-523, https://doi.org/10.1002/rra.3105.","productDescription":"10 p.","startPage":"514","endPage":"523","ipdsId":"IP-056699","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":329241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c824","contributors":{"authors":[{"text":"Suzuki, F. M.","contributorId":175093,"corporation":false,"usgs":false,"family":"Suzuki","given":"F.","email":"","middleInitial":"M.","affiliations":[{"id":27532,"text":"Department of biology/Sector of Ecology, Federal University of Lavras, Lavras, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":649957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":649956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, L. G. M.","contributorId":175094,"corporation":false,"usgs":false,"family":"Silva","given":"L.","email":"","middleInitial":"G. M.","affiliations":[{"id":27533,"text":"PPGTDS, DTECH/CAP, Federal University of São João Del-Rei, Ouro Branco, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":649958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alves, C. B. M.","contributorId":175095,"corporation":false,"usgs":false,"family":"Alves","given":"C.","email":"","middleInitial":"B. M.","affiliations":[{"id":27534,"text":"Bio-Ambiental Consultancy, Belo Horizonte, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":649959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pompeu, P.S.","contributorId":175096,"corporation":false,"usgs":false,"family":"Pompeu","given":"P.S.","affiliations":[{"id":27532,"text":"Department of biology/Sector of Ecology, Federal University of Lavras, Lavras, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":649960,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192787,"text":"70192787 - 2017 - Reaction softening by dissolution–precipitation creep in a retrograde greenschist facies ductile shear zone, New Hampshire, USA","interactions":[],"lastModifiedDate":"2021-08-12T15:48:36.723294","indexId":"70192787","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2389,"text":"Journal of Metamorphic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Reaction softening by dissolution–precipitation creep in a retrograde greenschist facies ductile shear zone, New Hampshire, USA","docAbstract":"We describe strain localization by a mixed process of reaction and microstructural softening in a lower greenschist facies ductile fault zone that transposes and replaces middle to upper amphibolite facies fabrics and mineral assemblages in the host schist of the Littleton Formation near Claremont, New Hampshire. Here, Na-poor muscovite and chlorite progressively replace first staurolite, then garnet, and finally biotite porphyroblasts as the core of the fault zone is approached. Across the transect, higher grade fabric-forming Na-rich muscovite is also progressively replaced by fabric-forming Na-poor muscovite. The mineralogy of the new phyllonitic fault-rock produced is dominated by Na-poor muscovite and chlorite together with late albite porphyroblasts. The replacement of the amphibolite facies porphyroblasts by muscovite and chlorite is pseudomorphic in some samples and shows that the chemical metastability of the porphyroblasts is sufficient to drive replacement. In contrast, element mapping shows that fabric-forming Na-rich muscovite is selectively replaced at high-strain microstructural sites, indicating that strain energy played an important role in activating the dissolution of the compositionally metastable muscovite. The replacement of strong, high-grade porphyroblasts by weaker Na-poor muscovite and chlorite constitutes reaction softening. The crystallization of parallel and contiguous mica in the retrograde foliation at the expense of the earlier and locally crenulated Na-rich muscovite-defined foliation destroys not only the metastable high-grade mineralogy, but also its stronger geometry. This process constitutes both reaction and microstructural softening. The deformation mechanism here was thus one of dissolution–precipitation creep, activated at considerably lower stresses than might be predicted in quartzofeldspathic rocks at the same lower greenschist facies conditions.
","language":"English","publisher":"Wiley","doi":"10.1111/jmg.12222","usgsCitation":"McAleer, R., Bish, D.L., Kunk, M.J., Sicard, K.R., Valley, P.M., Walsh, G.J., Wathen, B.A., and Wintsch, R., 2017, Reaction softening by dissolution–precipitation creep in a retrograde greenschist facies ductile shear zone, New Hampshire, USA: Journal of Metamorphic Geology, v. 35, no. 1, p. 95-119, https://doi.org/10.1111/jmg.12222.","productDescription":"25 p.","startPage":"95","endPage":"119","ipdsId":"IP-064432","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":348706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.3556137084961,\n 43.3545170923586\n ],\n [\n -72.25570678710938,\n 43.3545170923586\n ],\n [\n -72.25570678710938,\n 43.434597593834624\n ],\n [\n -72.3556137084961,\n 43.434597593834624\n ],\n [\n -72.3556137084961,\n 43.3545170923586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-25","publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c2416b","contributors":{"authors":[{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":716938,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bish, David L.","contributorId":198720,"corporation":false,"usgs":false,"family":"Bish","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":716939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sicard, Karri R. 0000-0003-4062-8030","orcid":"https://orcid.org/0000-0003-4062-8030","contributorId":146760,"corporation":false,"usgs":false,"family":"Sicard","given":"Karri","email":"","middleInitial":"R.","affiliations":[{"id":13329,"text":"AK-DGGS","active":true,"usgs":false}],"preferred":false,"id":716941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valley, Peter M. 0000-0002-9957-0403","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":198721,"corporation":false,"usgs":false,"family":"Valley","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":35738,"text":"Department of Geology, State University of New York at Potsdam, Potsdam, NY","active":true,"usgs":false}],"preferred":false,"id":716942,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716943,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wathen, Bryan A.","contributorId":198722,"corporation":false,"usgs":false,"family":"Wathen","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":716945,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wintsch, R. P.","contributorId":104921,"corporation":false,"usgs":false,"family":"Wintsch","given":"R. P.","affiliations":[{"id":13366,"text":"Indiana University, Bloomington, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":721838,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70176437,"text":"70176437 - 2017 - Custom map projections for regional groundwater models","interactions":[],"lastModifiedDate":"2017-03-22T15:07:24","indexId":"70176437","displayToPublicDate":"2016-09-14T12:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Custom map projections for regional groundwater models","docAbstract":"For regional groundwater flow models (areas greater than 100,000 km2), improper choice of map projection parameters can result in model error for boundary conditions dependent on area (recharge or evapotranspiration simulated by application of a rate using cell area from model discretization) and length (rivers simulated with head-dependent flux boundary). Smaller model areas can use local map coordinates, such as State Plane (United States) or Universal Transverse Mercator (correct zone) without introducing large errors. Map projections vary in order to preserve one or more of the following properties: area, shape, distance (length), or direction. Numerous map projections are developed for different purposes as all four properties cannot be preserved simultaneously. Preservation of area and length are most critical for groundwater models. The Albers equal-area conic projection with custom standard parallels, selected by dividing the length north to south by 6 and selecting standard parallels 1/6th above or below the southern and northern extent, preserves both area and length for continental areas in mid latitudes oriented east-west. Custom map projection parameters can also minimize area and length error in non-ideal projections. Additionally, one must also use consistent vertical and horizontal datums for all geographic data. The generalized polygon for the Floridan aquifer system study area (306,247.59 km2) is used to provide quantitative examples of the effect of map projections on length and area with different projections and parameter choices. Use of improper map projection is one model construction problem easily avoided.
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12450","usgsCitation":"Kuniansky, E.L., 2017, Custom map projections for regional groundwater models: Groundwater, v. 55, no. 2, p. 255-260, https://doi.org/10.1111/gwat.12450.","productDescription":"6 p.","startPage":"255","endPage":"260","ipdsId":"IP-071775","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.12450","text":"Publisher Index Page"},{"id":328638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-09","publicationStatus":"PW","scienceBaseUri":"57da66a2e4b090824ffb1646","contributors":{"authors":[{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":648761,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70181004,"text":"70181004 - 2017 - Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","interactions":[],"lastModifiedDate":"2018-03-16T15:29:22","indexId":"70181004","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","title":"Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians","docAbstract":"1. Crayfish represent one of the most imperilled animal groups on the planet. Habitat degradation, destruction and fragmentation, introduction of invasive crayfishes, and a lack of applied biological information have all been identified as agents thwarting crayfish conservation.
2. Cambarus callainus was warranted federal protection by the United States Fish and Wildlife Service (USFWS) in April, 2016. As part of the USFWS listing procedure, a survey for C. callainus in the Big Sandy River catchment was conducted to determine points of occurrence with a secondary objective of determining reach level physical habitat and physicochemical correlates of C. callainus presence and absence.
3. At each site, physicochemical and physical habitat data were collected to determine the influence of abiotic covariates on the presence of C. callainus. Cambarus callainus presence or absence and associated site covariates were modelled using logistic regression.
4. Survey results recorded C. callainus at 39 sites in the Upper Levisa Fork (ULF) and Tug Fork (TF) drainages of the Big Sandy River; no C. callainus were collected in the Lower Levisa Fork (LLF). An additive effects model of physical habitat quality (Basin + Boulder presence/embeddedness) was the only model selected, supporting an association of C. callainus with slab boulders, open interstitial spaces, and moderate to no sedimentation. All sites lacking C. callainus were experiencing some degree of sedimentation. Physicochemical covariates were not supported by the data.
5. Results indicated that good quality habitat was lacking in the LLF, but was present in the ULF and TF catchments, with ULF supporting the most robust populations and most suitable habitat. Effective conservation for C. callainus should focus on efforts that limit sedimentation as well as restore good quality instream habitat in the greater Big Sandy catchment.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2746","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2017, Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 27, no. 4, p. 755-763, https://doi.org/10.1002/aqc.2746.","productDescription":"9 p.","startPage":"755","endPage":"763","ipdsId":"IP-078756","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":335188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Virginia, West Virginia","otherGeospatial":"Big Sandy river catchment, Levisa Fork river, Tug Fork river ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6007080078125,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.223767535823576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-16","publicationStatus":"PW","scienceBaseUri":"589fff3be4b099f50d3e0455","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":663162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":663412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":663413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. Katie","contributorId":179377,"corporation":false,"usgs":false,"family":"Scott","given":"R.","email":"","middleInitial":"Katie","affiliations":[],"preferred":false,"id":663414,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175442,"text":"70175442 - 2017 - Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","interactions":[],"lastModifiedDate":"2017-03-22T15:09:30","indexId":"70175442","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5169,"text":"Environmental Fluid Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","docAbstract":"In December 2009, during a piscicide treatment targeting the invasive Asian carp in the Chicago Sanitary and Ship Canal, Rhodamine WT dye was released to track and document the transport and dispersion of the piscicide. In this study, two modeling approaches are presented to reproduce the advection and dispersion of the dye tracer (and piscicide), a one-dimensional analytical solution and a three-dimensional numerical model. The two approaches were compared with field measurements of concentration and their applicability is discussed. Acoustic Doppler current profiler measurements were used to estimate the longitudinal dispersion coefficients at ten cross sections, which were taken as reference for calibrating the longitudinal dispersion coefficient in the one-dimensional analytical solution. While the analytical solution is fast, relatively simple, and can fairly accurately predict the core of the observed concentration time series at points downstream, it does not capture the tail of the breakthrough curves. These tails are well reproduced by the three-dimensional model, because it accounts for the effects of dead zones and a power plant which withdraws nearly 80 % of the water from the canal for cooling purposes before returning it back to the canal.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10652-016-9464-1","usgsCitation":"Zhu, Z., Motta, D., Jackson, P., and Garcia, M., 2017, Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois: Environmental Fluid Mechanics, v. 17, no. 2, p. 211-229, https://doi.org/10.1007/s10652-016-9464-1.","productDescription":"19 p.","startPage":"211","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072510","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":326409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.99636840820312,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 41.65239288426814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d18356765100","contributors":{"authors":[{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":645266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Motta, Davide","contributorId":173610,"corporation":false,"usgs":false,"family":"Motta","given":"Davide","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":645267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":645269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70162581,"text":"70162581 - 2017 - Shapes on a plane: Evaluating the impact of projection distortion on spatial binning","interactions":[],"lastModifiedDate":"2017-07-24T09:50:40","indexId":"70162581","displayToPublicDate":"2016-06-30T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1191,"text":"Cartography and Geographic Information Science","active":true,"publicationSubtype":{"id":10}},"title":"Shapes on a plane: Evaluating the impact of projection distortion on spatial binning","docAbstract":"One method for working with large, dense sets of spatial point data is to aggregate the measure of the data into polygonal containers, such as political boundaries, or into regular spatial bins such as triangles, squares, or hexagons. When mapping these aggregations, the map projection must inevitably distort relationships. This distortion can impact the reader’s ability to compare count and density measures across the map. Spatial binning, particularly via hexagons, is becoming a popular technique for displaying aggregate measures of point data sets. Increasingly, we see questionable use of the technique without attendant discussion of its hazards. In this work, we discuss when and why spatial binning works and how mapmakers can better understand the limitations caused by distortion from projecting to the plane. We introduce equations for evaluating distortion’s impact on one common projection (Web Mercator) and discuss how the methods used generalize to other projections. While we focus on hexagonal binning, these same considerations affect spatial bins of any shape, and more generally, any analysis of geographic data performed in planar space.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230406.2016.1180263","usgsCitation":"Battersby, S.E., Strebe, D., and Finn, M.P., 2017, Shapes on a plane: Evaluating the impact of projection distortion on spatial binning: Cartography and Geographic Information Science, v. 44, p. 410-421, https://doi.org/10.1080/15230406.2016.1180263.","productDescription":"12 p.","startPage":"410","endPage":"421","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070632","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":324674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829d1","contributors":{"authors":[{"text":"Battersby, Sarah E.","contributorId":138943,"corporation":false,"usgs":false,"family":"Battersby","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":12589,"text":"University of South Carolina/ Department of Geography","active":true,"usgs":false}],"preferred":false,"id":589875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strebe, Daniel","contributorId":152596,"corporation":false,"usgs":false,"family":"Strebe","given":"Daniel","email":"","affiliations":[{"id":18941,"text":"Tableau Inc.","active":true,"usgs":false}],"preferred":false,"id":589876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":589874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70223199,"text":"70223199 - 2017 - Extracting accurate and precise topography from LROC narrow angle camera stereo observations","interactions":[],"lastModifiedDate":"2021-08-17T16:27:28.475663","indexId":"70223199","displayToPublicDate":"2016-05-11T11:23:58","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Extracting accurate and precise topography from LROC narrow angle camera stereo observations","docAbstract":"The Lunar Reconnaissance Orbiter Camera (LROC) includes two identical Narrow Angle Cameras (NAC) that each provide 0.5 to 2.0 m scale images of the lunar surface. Although not designed as a stereo system, LROC can acquire NAC stereo observations over two or more orbits using at least one off-nadir slew. Digital terrain models (DTMs) are generated from sets of stereo images and registered to profiles from the Lunar Orbiter Laser Altimeter (LOLA) to improve absolute accuracy. With current processing methods, DTMs have absolute accuracies better than the uncertainties of the LOLA profiles and relative vertical and horizontal precisions less than the pixel scale of the DTMs (2–5 m).
We computed slope statistics from 81 highland and 31 mare DTMs across a range of baselines. For a baseline of 15 m the highland mean slope parameters are: median = 9.1°, mean = 11.0°, standard deviation = 7.0°. For the mare the mean slope parameters are: median = 3.5°, mean = 4.9°, standard deviation = 4.5°. The slope values for the highland terrain are steeper than previously reported, likely due to a bias in targeting of the NAC DTMs toward higher relief features in the highland terrain.
Overlapping DTMs of single stereo sets were also combined to form larger area DTM mosaics that enable detailed characterization of large geomorphic features. From one DTM mosaic we mapped a large viscous flow related to the Orientale basin ejecta and estimated its thickness and volume to exceed 300 m and 500 km3, respectively. Despite its ∼3.8 billion year age the flow still exhibits unconfined margin slopes above 30°, in some cases exceeding the angle of repose, consistent with deposition of material rich in impact melt.
We show that the NAC stereo pairs and derived DTMs represent an invaluable tool for science and exploration purposes. At this date about 2% of the lunar surface is imaged in high-resolution stereo, and continued acquisition of stereo observations will serve to strengthen our knowledge of the Moon and geologic processes that occur across all of the terrestrial planets.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.05.012","usgsCitation":"Henriksen, M.R., Manheim, M.R., Burns, K.N., Seymour, P., Speyerer, E., Deran, A., Boyd, A.K., PR, E.H., Rosiek, M.R., Archinal, B.A., and Robinson, M.S., 2017, Extracting accurate and precise topography from LROC narrow angle camera stereo observations: Icarus, v. 283, p. 122-137, https://doi.org/10.1016/j.icarus.2016.05.012.","productDescription":"16 p.","startPage":"122","endPage":"137","ipdsId":"IP-071496","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2016.05.012","text":"Publisher Index Page"},{"id":388011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henriksen, M. R.","contributorId":264332,"corporation":false,"usgs":false,"family":"Henriksen","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manheim, M. R.","contributorId":264333,"corporation":false,"usgs":false,"family":"Manheim","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, K. N.","contributorId":264334,"corporation":false,"usgs":false,"family":"Burns","given":"K.","email":"","middleInitial":"N.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seymour, P.","contributorId":264335,"corporation":false,"usgs":false,"family":"Seymour","given":"P.","email":"","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speyerer, E. J.","contributorId":264336,"corporation":false,"usgs":false,"family":"Speyerer","given":"E. J.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deran, A.","contributorId":264337,"corporation":false,"usgs":false,"family":"Deran","given":"A.","email":"","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821377,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, A. K.","contributorId":264338,"corporation":false,"usgs":false,"family":"Boyd","given":"A.","email":"","middleInitial":"K.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821378,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"PR, Elpitha Howington-Kraus","contributorId":264339,"corporation":false,"usgs":true,"family":"PR","given":"Elpitha","email":"","middleInitial":"Howington-Kraus","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821379,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":264340,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821380,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":264341,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821381,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, M. S.","contributorId":264342,"corporation":false,"usgs":false,"family":"Robinson","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821382,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70161826,"text":"70161826 - 2017 - An alternative framework for responding to the amphibian crisis","interactions":[],"lastModifiedDate":"2017-03-03T11:01:19","indexId":"70161826","displayToPublicDate":"2016-01-07T10:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2968,"text":"Oryx","active":true,"publicationSubtype":{"id":10}},"title":"An alternative framework for responding to the amphibian crisis","docAbstract":"Volumes of data illustrate the severity of the crisis affecting amphibians, where > 32% of amphibians worldwide are threatened with declining populations. Although there have been isolated victories, the current approach to the issue is unsuccessful. We suggest that a radically different approach, something akin to human emergency response management (i.e. the Incident Command System), is one alternative to addressing the inertia and lack of cohesion in responding to amphibian issues. We acknowledge existing efforts and the useful research that has been conducted, but we suggest that a change is warranted and that the identification of a new amphibian chytrid provides the impetus for such a change. Our goal is to recognize that without a centralized effort we (collectively) are likely to fail in responding to this challenge.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0030605315001131","usgsCitation":"Muths, E.L., and Fisher, R.N., 2017, An alternative framework for responding to the amphibian crisis: Oryx, v. 51, no. 2, p. 210-213, https://doi.org/10.1017/S0030605315001131.","productDescription":"4 p.","startPage":"210","endPage":"213","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064687","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0030605315001131","text":"Publisher Index Page"},{"id":313996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-16","publicationStatus":"PW","scienceBaseUri":"568f8c2ee4b0e7a44bc5ec76","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":587863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":587864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191539,"text":"70191539 - 2017 - Geologic setting of the proposed West Flank Forge Site, California: Suitability for EGS research and development","interactions":[],"lastModifiedDate":"2018-01-05T15:32:41","indexId":"70191539","displayToPublicDate":"2015-12-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5555,"text":"GRC Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Geologic setting of the proposed West Flank Forge Site, California: Suitability for EGS research and development","docAbstract":"The proposed West Flank FORGE site is within the China Lake Naval Air Weapons Station (NAWS), China Lake, CA. The West Flank is west of the Coso geothermal field, an area of China Lake NAWS dominated by the Quaternary Coso volcanic field largely comprised of rhyolite domes and their volcaniclastic and epiclastic horizons. The largest dome flow complex, Sugarloaf Mountain, marks the northwestern margin of the geothermal field. The West Flank is situated due west of Sugarloaf. The geologic setting of the West Flank was determined from one deep well (83-11) drilled as a potential production hole in 2009. The bottom-hole temperature (BHT) of well 83-11 approaches 600 oF (315˚C), but flow tests demonstrate very low, non-commercial permeabilities. With the exception of the upper 600 feet of volcaniclastic alluvium, well 83-11 is completed in granitic basement. The West Flank possesses the primary attributes of a FORGE site: non-commercial permeability (<10-16m2), a 175˚ to 225˚C temperature range in crystalline rocks, and a location outside an existing geothermal field
The Coso Mountains host the Coso volcanic field and are within a right-releasing stepover between the dextral Airport Lake (ALF) and Little Lake fault zones (LLFZ) and the Wild Horse Mesa and Owens Valley faults. Two distinct fault populations have been identified at Coso: WNW-trending and antithetical, NE-trending strike-slip faults and N- to NNE-trending normal faults. These faults are both high permeability drilling targets at depth within the main (productive) geothermal field and they locally segment the field into distinct hydrothermal regimes. The West Flank may be segmented from the rest of the field by one such northerly trending fault. The overall minimum principal stress orientation in the main geothermal field varies from 103˚ to 108˚; however, the minimum horizontal principal stress in 83-11 is rotated to 081˚.
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For effects on fish populations of riverine ecosystems, cli- mate output simulated by coarse-resolution AOGCMs and RCMs must be downscaled to basins to river hydrology to population response. One needs to transfer the information from these climate simulations down to the individual scale in a way that minimizes extrapolation and can account for spatio-temporal variability in the intervening stages. The goal is a framework to determine whether, given uncertainties in the climate models and the biological response, meaningful inference can still be made. The non-linear downscaling of climate information to the river scale requires that one realistically account for spatial and temporal variability across scale. Our down- scaling procedure includes the use of fixed/calibrated hydrological flow and temperature models coupled with a stochastically parameterized sturgeon bioenergetics model. We show that, although there is a large amount of uncertainty associated with both the climate model output and the fish growth process, one can establish significant differences in fish growth distributions between models, and between future and current climates for a given model.
","largerWorkTitle":"Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP408.11","usgsCitation":"Wildhaber, M.L., Wikle, C.K., Moran, E.H., Anderson, C.J., Franz, K.J., and Dey, R., 2017, Hierarchical stochastic modeling of large river ecosystems and fish growth across spatio-temporal scales and climate models: the Missouri River endangered pallid sturgeon example: Geological Society of London Special Publications, v. 408, p. 119-145, https://doi.org/10.1144/SP408.11.","productDescription":"27 p.","startPage":"119","endPage":"145","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042354","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470249,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/ge_at_pubs/290","text":"External Repository"},{"id":311623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Missouri River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.3076171875,\n 38.94232097947902\n ],\n [\n -92.2412109375,\n 39.14710270770074\n ],\n [\n -94.06494140625,\n 40.34654412118006\n ],\n [\n -95.7568359375,\n 43.13306116240612\n ],\n [\n -95.80078125,\n 43.992814500489914\n ],\n [\n -96.3720703125,\n 44.15068115978091\n ],\n [\n -98.87695312499999,\n 45.96642454131025\n ],\n [\n -101.49169921875,\n 48.21003212234042\n ],\n [\n -102.74414062499999,\n 48.777912755501845\n ],\n [\n -106.171875,\n 48.922499263758255\n ],\n [\n -107.3583984375,\n 49.25346477497736\n ],\n [\n -112.9833984375,\n 49.396675075193976\n ],\n [\n -115.13671875,\n 49.05227025601607\n ],\n [\n -115.02685546875,\n 48.1367666796927\n ],\n [\n -113.6865234375,\n 47.17477833929903\n ],\n [\n -113.9501953125,\n 46.042735653846506\n ],\n [\n -113.5986328125,\n 45.521743896993634\n ],\n [\n -112.30224609374999,\n 44.653024159812\n ],\n [\n -110.28076171875,\n 44.29240108529005\n ],\n [\n -107.90771484375,\n 43.004647127794435\n ],\n [\n -106.98486328124999,\n 42.04929263868686\n ],\n [\n -105.53466796874999,\n 39.57182223734374\n ],\n [\n -102.83203125,\n 39.04478604850143\n ],\n [\n -97.36083984375,\n 38.238180119798635\n ],\n [\n -94.46044921875,\n 38.11727165830543\n ],\n [\n -92.21923828124999,\n 37.92686760148135\n ],\n [\n -90.37353515625,\n 38.839707613545144\n ],\n [\n -90.3076171875,\n 38.94232097947902\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"408","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-10-12","publicationStatus":"PW","scienceBaseUri":"5650524ee4b0f162148c5d11","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":577821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, Christopher K.","contributorId":116632,"corporation":false,"usgs":false,"family":"Wikle","given":"Christopher","email":"","middleInitial":"K.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":577825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Edward H. emoran@usgs.gov","contributorId":5445,"corporation":false,"usgs":true,"family":"Moran","given":"Edward","email":"emoran@usgs.gov","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":577820,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Christopher J.","contributorId":11516,"corporation":false,"usgs":true,"family":"Anderson","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577822,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franz, Kristie J.","contributorId":36061,"corporation":false,"usgs":true,"family":"Franz","given":"Kristie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dey, Rima","contributorId":81210,"corporation":false,"usgs":true,"family":"Dey","given":"Rima","email":"","affiliations":[],"preferred":false,"id":577823,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}