{"pageNumber":"831","pageRowStart":"20750","pageSize":"25","recordCount":184617,"records":[{"id":70199756,"text":"70199756 - 2018 - Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. ","interactions":[],"lastModifiedDate":"2018-09-27T14:04:06","indexId":"70199756","displayToPublicDate":"2018-08-28T14:04:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. ","docAbstract":"<p><span>The epicenter of the 16 July 1936&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span><span>&nbsp;6 Milton‐Freewater earthquake, also known as the State Line earthquake and the largest historical earthquake in northeastern Oregon or southeastern Washington, is uncertain. Various studies place the epicenter of the earthquake, which was widely felt in eastern Washington, northeastern Oregon, and northern Idaho, within 30&nbsp;km of the intersection of the Hite and Wallula faults. In the absence of reported coseismic surface rupture for the earthquake, we sought to determine which epicentral location is most consistent with the intensity observations and with its aftershock sequence, which lasted for at least 27 months. An epicenter between Umapine and Milton‐Freewater best matches the observations. This location falls within the region that experienced the highest intensities of VII and reported the largest number of aftershocks, compares favorably to the (2018) International Seismological Centre‐Global Earthquake Model (ISC‐GEM) epicenter, and is proximal to sites that experienced ground failure and groundwater effects. Modeling of aftershock rates is consistent with this suggested epicenter and with the estimated 10&nbsp;km long subsurface rupture of the earthquake. This suggested epicenter lies at, or just west of, the intersection of the Hite and Wallula faults. The elongation of ground failure along the Wallula fault and the aftershock distribution appears more consistent with rupture of the Wallula fault or of a subparallel fault than with rupture of the Hite fault. Rupture on faults to the north or east of the Wallula‐Hite fault intersection is inconsistent with most observations, including the perceived impulsivity of the mainshock.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120180111","usgsCitation":"Brocher, T.M., and Sherrod, B.L., 2018, Intensities, aftershock sequences, and the location of the 1936 Milton‐Freewater earthquake near the Oregon–Washington border, U.S.A. : Bulletin of the Seismological Society of America, v. 108, no. 5A, p. 2594-2613, https://doi.org/10.1785/0120180111.","productDescription":"20 p.","startPage":"2594","endPage":"2613","ipdsId":"IP-093870","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":357840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.25,\n              45.5\n            ],\n            [\n              -118,\n              45.5\n            ],\n            [\n              -118,\n              46.5\n            ],\n            [\n              -119.25,\n              46.5\n            ],\n            [\n              -119.25,\n              45.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"108","issue":"5A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","scienceBaseUri":"5bc02fb3e4b0fc368eb53956","contributors":{"authors":[{"text":"Brocher, Thomas M. 0000-0002-9740-839X brocher@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-839X","contributorId":262,"corporation":false,"usgs":true,"family":"Brocher","given":"Thomas","email":"brocher@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":746503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":746504,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198935,"text":"70198935 - 2018 - Exclusion of small mammals and lagomorphs invasion interact with human-trampling to drive changes in topsoil microbial community structure and function in semiarid Chile","interactions":[],"lastModifiedDate":"2018-09-11T09:30:14","indexId":"70198935","displayToPublicDate":"2018-08-28T13:41:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3416,"text":"Soil Biology and Biochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Exclusion of small mammals and lagomorphs invasion interact with human-trampling to drive changes in topsoil microbial community structure and function in semiarid Chile","docAbstract":"<p><span>Species losses and additions can disrupt the relationship between resident species and the structure and functioning of ecosystems. Persistent human-trampling, on the other hand, can have similar effects through the disruption of biocrusts on surface soils of semiarid systems, affecting&nbsp;soil stability&nbsp;and fixation of carbon and nitrogen. Here, we tested the interactive and synergistic impacts of the exclusion of native mammalian&nbsp;herbivores&nbsp;and the effects of introduced lagomorphs in a semiarid thorn scrub ecosystem, where soils were subjected to two different trampling intensities (i.e., trampled and non-trampled). We postulated that because of their differential&nbsp;habitat use&nbsp;and fossorial activities, with respect to native&nbsp;small mammals, lagomorphs would have strong negative effects on&nbsp;soil structure, biocrust cover, and biocrust&nbsp;bacterial community&nbsp;structure. Our expectations were that changes in biocrust cover in response to trampling where native mammals were excluded, but exotic lagomorphs were present, will spread their impacts on soil chemical and physical features. To test our hypotheses, we measured changes in soil biogeochemical properties in four experimental plots where lagomorphs (L)/small mammals (SM) were experimentally manipulated to exclude them from the plots (−), or let them be present (+). The experimental combinations monitored were: -L/+SM, -L/-SM, +L/+SM, and +L/-SM. Results showed that human-trampling disturbance interacted with the loss of native small mammals and the presence of non-native lagomorphs to cause large changes on biological (i.e., biocrust cover, bacterial and&nbsp;</span><i>nifH</i><span>&nbsp;genes abundance), physical (i.e., soil moisture and soil stability) and chemical (i.e., TC and TN) soil features. The relative impacts of trampling disturbance on biological and physicochemical features were strongly influenced by the presence of non-native lagomorphs. For example, larger decreases in biocrust cover and bacterial abundance were observed in treatments without lagomorphs (-L/+SM; -L/-SM). In turn, losses of biocrust cover, in addition to trampling, determined decreases in soil stability in all treatments. These results suggest that non-native lagomorphs surpass the effects of the loss of native small mammals in reducing soil quality and productivity. Therefore, human-trampling has the potential to convert low disturbed soils, as those observed in non-trampled soils in treatments -L/+SM, -L/-SM into poor soils with low biocrusts cover and concomitant low stability, as observed in +L/+SM; +L/-SM treatments. These findings agree with previous observations that different components of global change act in synergic ways in fragile, water-limited environments. Because biological invasions and soil surface disturbance are becoming widespread in dryland regions globally, understanding the long-term consequences of these interactions is essential.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2018.05.019","usgsCitation":"Alfaro, F.D., Manzano, M., Abades, S., Trefault, N., de la Iglesia, R., Gaxiola, A., Marquet, P.A., Gutierrez, J.R., Meserve, P.L., Kelt, D.A., Belnap, J., and Armesto, J.J., 2018, Exclusion of small mammals and lagomorphs invasion interact with human-trampling to drive changes in topsoil microbial community structure and function in semiarid Chile: Soil Biology and Biochemistry, v. 124, p. 1-10, https://doi.org/10.1016/j.soilbio.2018.05.019.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-098119","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soilbio.2018.05.019","text":"Publisher Index Page"},{"id":356844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Fray Jorge National Park","volume":"124","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a271e4b0702d0e842ed0","contributors":{"authors":[{"text":"Alfaro, Fernando D.","contributorId":207304,"corporation":false,"usgs":false,"family":"Alfaro","given":"Fernando","email":"","middleInitial":"D.","affiliations":[{"id":37517,"text":"GEMA Center for Genomics, Ecology & Environment, Universidad Mayor, Camino La Piramide 5750, Huechuraba, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":743489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manzano, Marlene","contributorId":207784,"corporation":false,"usgs":false,"family":"Manzano","given":"Marlene","email":"","affiliations":[{"id":37517,"text":"GEMA Center for Genomics, Ecology & Environment, Universidad Mayor, Camino La Piramide 5750, Huechuraba, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":743656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abades, Sebastian","contributorId":207377,"corporation":false,"usgs":false,"family":"Abades","given":"Sebastian","affiliations":[],"preferred":false,"id":743657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trefault, Nicole","contributorId":207378,"corporation":false,"usgs":false,"family":"Trefault","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":743658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de la Iglesia, Rodrigo","contributorId":207379,"corporation":false,"usgs":false,"family":"de la Iglesia","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":743659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaxiola, Aurora","contributorId":207380,"corporation":false,"usgs":false,"family":"Gaxiola","given":"Aurora","email":"","affiliations":[],"preferred":false,"id":743660,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marquet, Pablo A.","contributorId":176066,"corporation":false,"usgs":false,"family":"Marquet","given":"Pablo","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743661,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gutierrez, Julio R.","contributorId":207381,"corporation":false,"usgs":false,"family":"Gutierrez","given":"Julio","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743662,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meserve, Peter L.","contributorId":207382,"corporation":false,"usgs":false,"family":"Meserve","given":"Peter","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":743663,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kelt, Douglas A.","contributorId":97232,"corporation":false,"usgs":true,"family":"Kelt","given":"Douglas","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743664,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743665,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Armesto, Juan J.","contributorId":207383,"corporation":false,"usgs":false,"family":"Armesto","given":"Juan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":743666,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70198555,"text":"sir20185108 - 2018 - Conceptual and numerical models of dissolved solids in the Colorado River, Hoover Dam to Imperial Dam, and Parker Dam to Imperial Dam, Arizona, California, and Nevada","interactions":[],"lastModifiedDate":"2018-08-29T11:01:35","indexId":"sir20185108","displayToPublicDate":"2018-08-28T13:39:02","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5108","title":"Conceptual and numerical models of dissolved solids in the Colorado River, Hoover Dam to Imperial Dam, and Parker Dam to Imperial Dam, Arizona, California, and Nevada","docAbstract":"<p>Conceptual and numerical models were developed to understand and simulate monthly flow-weighted dissolved-solids concentrations in the Colorado River at Imperial Dam. The ability to simulate dissolved-solids concentrations at this location will help the Bureau of Reclamation satisfy the binational agreement on the volume and salinity of Colorado River water delivered to Mexico. A robust spatial- and temporal-resolution dataset that consists of river discharge and dissolved-solids concentration and load information between January 1990 and September 2016 for 10 sites on canals, drains, tributaries, and the main stem of the Colorado River between Hoover and Imperial Dams was generated. Daily mean dissolved-solids concentrations were estimated and monthly mean dissolved-solids loads were computed for each site. Spatial and temporal load patterns, and historical and current controls on loads and concentrations, were analyzed in order to develop a conceptual model of dissolved-solids transport between Hoover and Imperial Dams. Two numerical models describing the relations between dissolved-solids concentrations and components controlling dissolved-solids concentrations and loads were developed, calibrated, and verified.</p><p>Between January 1990 and September 2016, there was a 98.8-million-acre-feet loss of water and a 57.0-million-ton loss of dissolved-solids load from the Colorado River between Hoover and Imperial Dams. Between Hoover and Parker Dams, about 69.0 million acre-feet of water was lost and 51.1 million tons of dissolved solids were lost; between Parker and Imperial Dams, about 29.8 million acre-feet of water was lost and 5.9 million tons of dissolved solids were lost. Water was removed from the river at a relatively consistent rate over the 25-year study period through water transfers to California and Arizona, evapotranspiration from crop irrigation, transpiration processes of riparian vegetation, and evaporation from the river main stem. Dissolved solids were removed from the river between Hoover and Parker Dams at a relatively constant rate through water transfers to California and Arizona, and water pumped from the river for irrigation within the Mohave Valley. A small amount of dissolved solids are gained by the river from inflow from the Bill Williams River. Between Parker and Imperial Dams, however, dissolved solids were not removed from the river at a consistent rate over the study period. Dissolved solids were generally removed from the river from 1990 to 2012, then gained by the river from 2012 to 2015, and then removed from the river from 2015 through 2016. Dissolved solids are assumed to be removed from the river and accumulated within the floodplain sediments and aquifers during irrigation processes; some dissolved solids may also be removed from the river through uptake by crops and riparian vegetation. Dissolved solids accumulated on the landscape and in the floodplain aquifer during irrigation are transported to the river during periods when the hydraulic gradient between the floodplain aquifer and the river is increased, causing a gain in dissolved solids in the river. Dissolved-solids gains in the river occur during periods of relatively low river discharge, such as during the winter months and during drier climatic conditions.</p><p>Two numerical models were developed and coefficients were estimated by using data from a May 2008-September 2016 calibration period. One model simulates concentrations at Imperial Dam based on the Colorado River system downstream from Parker Dam, and the other model simulates concentrations at Imperial Dam based on the Colorado River system downstream from Hoover Dam. Both models simulated monthly flow-weighted concentrations of dissolved solids for the Colorado River at Imperial Dam, which corresponded well with observed concentrations for the entire study period. The models are more sensitive to input variables of monthly discharge of the Colorado River below Parker Dam and monthly flow-weighted dissolved-solids concentrations of the Colorado River below Hoover Dam and Parker Dam than to the rate of change in concentration with respect to time and the combined discharge of the Colorado River Indian Reservation Main Canal and the Palo Verde Canal. The calibrated models can be used to run scenarios of future monthly flow-weighted dissolved-solids concentrations in the Colorado River at Imperial Dam. Although the models are expected to provide concentration estimates within 18 milligrams per liter (Parker Dam to Imperial Dam model) to 22 milligrams per liter (Hoover Dam to Imperial Dam model), 95 percent of the time, the error of future scenarios increases as uncertainty in the estimated future input variables increases.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185108","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Anning, D.W., Coes, A.L., and Mason, J.P., 2018, Conceptual and numerical models of dissolved solids in the Colorado River, Hoover Dam to Imperial Dam, and Parker Dam to Imperial Dam, Arizona, California, and Nevada: U.S. Geological Survey Scientific Investigations Report 2018–5108, 34 p., https://doi.org/10.3133/sir20185108.","productDescription":"Report: vi, 34 p.; Appendixes","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-094950","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":356851,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5108/sir20185108_appendix1.xlsx","text":"Appendix 1","size":"160 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018-5108"},{"id":356852,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2018/5108/sir20185108_appendix2.xlsx","text":"Appendix 2","size":"170 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2018-5108"},{"id":356849,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5108/coverthb.jpg"},{"id":356850,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5108/sir20185108.pdf","text":"Report","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5108"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.98291015625,\n              34.229970811273084\n            ],\n            [\n              -114.0435791015625,\n              34.229970811273084\n            ],\n            [\n              -114.0435791015625,\n              36.22211876039103\n            ],\n            [\n              -114.98291015625,\n              36.22211876039103\n            ],\n            [\n              -114.98291015625,\n              34.229970811273084\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:dc_az@usgs.gov\" href=\"mailto:dc_az@usgs.gov\" target=\"_blank\" rel=\"noopener\"> Director</a>,<br><a data-mce-href=\"https://az.water.usgs.gov/\" href=\"https://az.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">Arizona Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>520 N. Park Avenue<br>Tucson, AZ 85719 </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Problem Statement</li><li>Data Compilation</li><li>Conceptual Model</li><li>Numerical Model</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-08-28","noUsgsAuthors":false,"publicationDate":"2018-08-28","publicationStatus":"PW","scienceBaseUri":"5b98a271e4b0702d0e842ed2","contributors":{"authors":[{"text":"Anning, David W. 0000-0002-4470-3387","orcid":"https://orcid.org/0000-0002-4470-3387","contributorId":202783,"corporation":false,"usgs":true,"family":"Anning","given":"David W.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coes, Alissa L. 0000-0001-6682-5417 alcoes@usgs.gov","orcid":"https://orcid.org/0000-0001-6682-5417","contributorId":4231,"corporation":false,"usgs":true,"family":"Coes","given":"Alissa","email":"alcoes@usgs.gov","middleInitial":"L.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":741894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, Jon P. 0000-0003-0576-5494 jmason@usgs.gov","orcid":"https://orcid.org/0000-0003-0576-5494","contributorId":196854,"corporation":false,"usgs":true,"family":"Mason","given":"Jon","email":"jmason@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":false,"id":741895,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198943,"text":"70198943 - 2018 - Fire, flood, and drought: Extreme climate events alter flow paths and stream chemistry","interactions":[],"lastModifiedDate":"2018-09-20T16:21:13","indexId":"70198943","displayToPublicDate":"2018-08-28T13:36:15","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Fire, flood, and drought: Extreme climate events alter flow paths and stream chemistry","docAbstract":"<p><span>Extreme climate events—such as hurricanes, droughts, extreme precipitation, and wildfires—have the potential to alter watershed processes and stream response. Yet due to the destructive and hazardous nature and unpredictability of such events, capturing their hydrochemical signal is challenging. A 5‐year postwildfire study of stream chemistry in the Fourmile Creek watershed, Colorado Front Range, USA, focused on high‐frequency storm sampling. During the study, the watershed was impacted by three additional extreme climate events—drought and two periods of extreme rainfall totals. These events altered concentration‐discharge relationships in ways that elucidate how hydrologic flow paths and source material availability affect stream water chemistry. Reduced infiltration after wildfire led to overland flow during thunderstorms, which conveyed ash and soil into streams. This resulted in elevated stream concentrations of constituents elevated in ash—Ca, K, Mg, alkalinity, and dissolved organic carbon—along with sediment and nitrate. Subsurface flow paths were bypassed, leading to low concentrations of Na and SiO</span><sub>2</sub><span>, which are bedrock derived and not elevated in ash. During drought conditions, when stream discharge was &lt;20% of average, concentrations of sediment, dissolved organic carbon, and Ca fell below average concentrations, but SiO</span><sub>2</sub><span>&nbsp;did not. Extreme rainfall totals saturated the subsurface and led to prolonged elevated stream discharge. Concentration‐discharge relationships for bedrock‐derived constituents, such as Ca and SiO</span><sub>2</sub><span>, were altered in that time period, while those for dissolved organic carbon were not. Previous disturbances, including historical mining, also affect stream chemistry, and water‐quality impairment can be exacerbated by extreme climate events.</span></p>","language":"English","publisher":"AGU","doi":"10.1029/2017JG004349","usgsCitation":"Murphy, S.F., McCleskey, R.B., Martin, D.A., Writer, J., and Ebel, B.A., 2018, Fire, flood, and drought: Extreme climate events alter flow paths and stream chemistry: Journal of Geophysical Research G: Biogeosciences, v. 123, no. 8, p. 2513-2526, https://doi.org/10.1029/2017JG004349.","productDescription":"14 p.","startPage":"2513","endPage":"2526","ipdsId":"IP-080472","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":468468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2017jg004349","text":"Publisher Index Page"},{"id":356843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Fourmile Creek Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.5833,\n              40\n            ],\n            [\n              -105.33,\n              40\n            ],\n            [\n              -105.33,\n              40.0667\n            ],\n            [\n              -105.5833,\n              40.0667\n            ],\n            [\n              -105.5833,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"123","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","scienceBaseUri":"5b98a271e4b0702d0e842ed4","contributors":{"authors":[{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":743505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":743508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":743506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Writer, Jeffrey H.","contributorId":207308,"corporation":false,"usgs":false,"family":"Writer","given":"Jeffrey H.","affiliations":[{"id":29863,"text":"University of Colorado, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":743507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":2557,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":743509,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198946,"text":"70198946 - 2018 - Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events","interactions":[],"lastModifiedDate":"2018-12-05T14:19:32","indexId":"70198946","displayToPublicDate":"2018-08-28T13:29:10","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events","docAbstract":"<p><span>While the influence of antecedent conditions on watershed function is widely recognized under typical hydrologic regimes, gaps remain in the context of extreme climate events (ECEs). ECEs are those events that far exceed seasonal norms of intensity, duration, or impact upon the physical environment or ecosystem. In this synthesis, we discuss the role of source availability and hydrologic connectivity on antecedent conditions and propose a conceptual framework to characterize system response to ECEs at the watershed scale. We present four case studies in detail that span a range of types of antecedent conditions and type of ECE to highlight important controls and feedbacks. Because ECEs have the potential to export large amounts of water and materials, their occurrence in sequence can disproportionately amplify the response. In fact, multiple events may not be considered extreme in isolation, but when they occur in close sequence they may lead to extreme responses in terms of both supply and transport capacity. Therefore, to advance our understanding of these complexities, we need continued development of a mechanistic understanding of how antecedent conditions set the stage for ECE response across multiple regions and climates, particularly since monitoring of these rare events is costly and difficult to obtain. Through focused monitoring of critical ecosystems during rare events we will also be able to extend and validate modeling studies. Cross-regional comparisons are also needed to define characteristics of resilient systems. These monitoring, modeling, and synthesis efforts are more critical than ever in light of changing climate regimes, intensification of human modifications of the landscape, and the disproportionate impact of ECEs in highly populated regions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0482-6","usgsCitation":"McMillan, S.K., Wilson, H.F., Tague, C.L., Hanes, D.M., Inamdar, S., Karwan, D.L., Loecke, T., Morrison, J., Murphy, S.F., and Vidon, P., 2018, Before the storm: Antecedent conditions as regulators of hydrologic and biogeochemical response to extreme climate events: Biogeochemistry, v. 141, no. 3, p. 487-501, https://doi.org/10.1007/s10533-018-0482-6.","productDescription":"15 p.","startPage":"487","endPage":"501","ipdsId":"IP-092162","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-16","publicationStatus":"PW","scienceBaseUri":"5b98a271e4b0702d0e842ed6","contributors":{"authors":[{"text":"McMillan, Sara K.","contributorId":207309,"corporation":false,"usgs":false,"family":"McMillan","given":"Sara","email":"","middleInitial":"K.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":743514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Henry F.","contributorId":207310,"corporation":false,"usgs":false,"family":"Wilson","given":"Henry","email":"","middleInitial":"F.","affiliations":[{"id":24491,"text":"Agriculture and Agri-Food Canada","active":true,"usgs":false}],"preferred":false,"id":743515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tague, Christina L.","contributorId":207311,"corporation":false,"usgs":false,"family":"Tague","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":743516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanes, Daniel M.","contributorId":207312,"corporation":false,"usgs":false,"family":"Hanes","given":"Daniel","email":"","middleInitial":"M.","affiliations":[{"id":37518,"text":"St. Louis University","active":true,"usgs":false}],"preferred":false,"id":743517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Inamdar, Shreeram","contributorId":177337,"corporation":false,"usgs":false,"family":"Inamdar","given":"Shreeram","affiliations":[],"preferred":false,"id":743518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":743522,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loecke, Terry","contributorId":207313,"corporation":false,"usgs":false,"family":"Loecke","given":"Terry","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":743519,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morrison, Jonathan 0000-0002-1756-4609","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":203255,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743520,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":743513,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Vidon, Philippe","contributorId":207314,"corporation":false,"usgs":false,"family":"Vidon","given":"Philippe","email":"","affiliations":[{"id":37519,"text":"SUNY College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":743521,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70198988,"text":"70198988 - 2018 - Input data processing tools for the integrated hydrologic model GSFLOW","interactions":[],"lastModifiedDate":"2018-08-28T13:25:31","indexId":"70198988","displayToPublicDate":"2018-08-28T13:25:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Input data processing tools for the integrated hydrologic model GSFLOW","docAbstract":"<p><span>Integrated&nbsp;hydrologic modeling&nbsp;(IHM) encompasses a vast number of processes and specifications, variable in time and space, and development of models can be arduous. Model input construction techniques have not been formalized or made easily reproducible. Creating the input files for integrated hydrologic models requires complex&nbsp;GIS&nbsp;processing of raster and vector datasets from various sources. Developing stream network topology that is consistent with the model grid-scale&nbsp;digital elevation model&nbsp;(DEM) is important for robust simulation of surface water and groundwater exchanges. Distribution of meteorological data over the model domain is difficult in&nbsp;complex terrain&nbsp;at the model-grid scale, but is necessary for realistic simulations. As&nbsp;model development&nbsp;requires extensive GIS and&nbsp;</span>computer programming<span>&nbsp;expertise, the use of IHMs has mostly been limited to research groups with available financial, human, and technical resources. Here we present a series of open-source Python scripts that are combined with ESRI ArcGIS to provide a formalized technique for the parameterization and development of inputs for the readily available IHM called GSFLOW. This Python toolkit automates many of the necessary and laborious processes of parameterization, including stream network&nbsp;development, land&nbsp;coverages, and meteorological distribution over the model domain. The final products of the toolkit are PRMS ready Parameter Files, along with several input parameters for a MODFLOW model, including input for the&nbsp;Streamflow&nbsp;Routing Package. A demonstration of the toolkit is provided to illustrate its capabilities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.07.020","usgsCitation":"Gardner, M.A., Morton, C.G., Huntington, J., Niswonger, R., and Henson, W.R., 2018, Input data processing tools for the integrated hydrologic model GSFLOW: Environmental Modelling and Software, v. 109, p. 41-53, https://doi.org/10.1016/j.envsoft.2018.07.020.","productDescription":"13 p.","startPage":"41","endPage":"53","ipdsId":"IP-092325","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":468469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2018.07.020","text":"Publisher Index Page"},{"id":356840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842ed8","contributors":{"authors":[{"text":"Gardner, Murphy A. 0000-0002-3951-6667","orcid":"https://orcid.org/0000-0002-3951-6667","contributorId":207374,"corporation":false,"usgs":true,"family":"Gardner","given":"Murphy","email":"","middleInitial":"A.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton, Charles G.","contributorId":207375,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","email":"","middleInitial":"G.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":743652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":743653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":2833,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":743654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198947,"text":"70198947 - 2018 - Twelve questions for the participatory modeling community","interactions":[],"lastModifiedDate":"2018-09-10T10:52:04","indexId":"70198947","displayToPublicDate":"2018-08-28T13:20:44","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Twelve questions for the participatory modeling community","docAbstract":"<p><span>Participatory modeling engages the implicit and explicit knowledge of stakeholders to create formalized and shared representations of reality and has evolved into a field of study as well as a practice. Participatory modeling researchers and practitioners who focus specifically on environmental resources met at the National Socio‐Environmental Synthesis Center (SESYNC) in Annapolis, Maryland, over the course of 2&nbsp;years to discuss the state of the field and future directions for participatory modeling. What follows is a description of 12 overarching groups of questions that could guide future inquiry.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EF000841","usgsCitation":"Jordan, R., Gray, S., Zellner, M., Glynn, P.D., Voinov, A., Hedelin, B., Sterling, E.J., Leong, K., Olabisi, L.S., Hubacek, K., Bommel, P., BenDor, T.K., Jetter, A.J., Laursen, B., Singer, A., Giabbanelli, P.J., Kolagani, N., Carrera, L., Jenni, K., Prell, C., and National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group, 2018, Twelve questions for the participatory modeling community: Earth's Future, v. 6, no. 8, p. 1046-1057, https://doi.org/10.1029/2018EF000841.","productDescription":"12 p.","startPage":"1046","endPage":"1057","ipdsId":"IP-097317","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":468470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018ef000841","text":"Publisher Index Page"},{"id":356839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-03","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842eda","contributors":{"authors":[{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":743524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":743525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zellner, Moira","contributorId":201924,"corporation":false,"usgs":false,"family":"Zellner","given":"Moira","affiliations":[{"id":36300,"text":"University of Illinois at Chicago, Department of Urban Planning & Policy and Institute for Environmental Science and Policy. 412 S. Peoria St., MC 348, Chicago, IL 60607","active":true,"usgs":false}],"preferred":false,"id":743526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":743523,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":743527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hedelin, Beatrice","contributorId":201917,"corporation":false,"usgs":false,"family":"Hedelin","given":"Beatrice","email":"","affiliations":[{"id":36295,"text":"Karlstad University, Centre for Climate and Safety, Department of Environmental and Life Sciences, SE-651 88 Karlstad, Sweden","active":true,"usgs":false}],"preferred":false,"id":743528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sterling, Eleanor J.","contributorId":145439,"corporation":false,"usgs":false,"family":"Sterling","given":"Eleanor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":743529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leong, Kirsten","contributorId":207317,"corporation":false,"usgs":false,"family":"Leong","given":"Kirsten","affiliations":[{"id":37520,"text":"NOAA Fisheries, Pacific Islands Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":743530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Olabisi, Laura 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Bethany","contributorId":201920,"corporation":false,"usgs":false,"family":"Laursen","given":"Bethany","affiliations":[{"id":36298,"text":"Michigan State University, Departments of Community Sustainability and Philosophy, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":743536,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Singer, Alison","contributorId":201923,"corporation":false,"usgs":false,"family":"Singer","given":"Alison","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":743537,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Giabbanelli, Philippe J.","contributorId":207321,"corporation":false,"usgs":false,"family":"Giabbanelli","given":"Philippe","email":"","middleInitial":"J.","affiliations":[{"id":37524,"text":"Department of Computer Science, Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":743538,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kolagani, Nagesh","contributorId":191331,"corporation":false,"usgs":false,"family":"Kolagani","given":"Nagesh","email":"","affiliations":[],"preferred":false,"id":743539,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Carrera, Laura Basco","contributorId":207322,"corporation":false,"usgs":false,"family":"Carrera","given":"Laura Basco","affiliations":[{"id":37525,"text":"Unit Water Resource and Delta Management Deltares","active":true,"usgs":false}],"preferred":false,"id":743540,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Jenni, Karen","contributorId":207323,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":743541,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Prell, Christina","contributorId":201921,"corporation":false,"usgs":false,"family":"Prell","given":"Christina","email":"","affiliations":[{"id":36299,"text":"University of Maryland, Department of Sociology, 2112 Parren Mitchell Art-Sociology Building, 3834 Campus Drive, College Park, MD 20742","active":true,"usgs":false}],"preferred":false,"id":743650,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group","contributorId":207376,"corporation":true,"usgs":false,"organization":"National Socio-Environmental Synthesis Center Participatory Modeling Pursuit Working Group","id":743651,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70198948,"text":"70198948 - 2018 - Designing a protected area to safeguard imperiled species from urbanization","interactions":[],"lastModifiedDate":"2019-01-28T09:25:34","indexId":"70198948","displayToPublicDate":"2018-08-28T13:12:21","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Designing a protected area to safeguard imperiled species from urbanization","docAbstract":"<p><span>Reserve design is a process that can address ecological, social, and political factors to identify parcels of land needed to sustain wildlife populations and other natural resources. Acquisition of parcels for a large terrestrial reserve is difficult because it typically occurs over a long timeframe and thus invokes consideration of future conditions such as climate and urbanization changes. In central Florida, a new protected area, the Everglades Headwaters National Wildlife Refuge, has been authorized by the United States Government. The new refuge will host important threatened and endangered species and habitats, as well as be located to allow for species adaptation from climate change impacts. For this study we combined habitat objectives defined by the U.S. Fish and Wildlife Service and projections from two urbanization models to provide guidance for Everglades Headwaters National Wildlife Refuge design. We used Marxan with Zones to find near-optimal solutions for protecting explicit amounts of five target habitats. We identified parcels for inclusion into the reserve design that the model allocated among two zones representing different methods of protection: fee-simple purchase (up to 20,234 hectares authorized by the United States government), and conservation easement agreements (up to 40,469 hectares authorized). As expected, for all scenarios we found an increase in costs as the proportion of fee-simple purchases was increased, reflecting the lesser cost of easements, but the number of parcels required for protection differed little among scenarios. The two urbanization models showed considerable agreement over which habitat patches were not forecast to be developed, and showed some agreement over which parcels might be developed. The U.S. Fish and Wildlife Service may benefit from focusing on parcels that are selected frequently by our analyses under both urban scenarios because these parcels are more likely to be in areas where urbanization threats and demand for land is reduced. The reserve designs we generated met U.S. Fish and Wildlife Service habitat goals within fee and easement zone restrictions, and we found reserve configurations that fell well below the mandated size limit.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/072017-JFWM-060","usgsCitation":"Romanach, S.S., Stith, B., and Johnson, F.A., 2018, Designing a protected area to safeguard imperiled species from urbanization: Journal of Fish and Wildlife Management, v. 9, no. 2, p. 446-458, https://doi.org/10.3996/072017-JFWM-060.","productDescription":"13 p.","startPage":"446","endPage":"458","ipdsId":"IP-088649","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460861,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/072017-jfwm-060","text":"Publisher Index Page"},{"id":356837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              27.23753666659069\n            ],\n            [\n              -80.80169677734375,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              28.29954416560909\n            ],\n            [\n              -81.75750732421875,\n              27.23753666659069\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-14","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842edc","contributors":{"authors":[{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","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":743543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stith, Bradley","contributorId":175419,"corporation":false,"usgs":false,"family":"Stith","given":"Bradley","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":743545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":743544,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70198955,"text":"70198955 - 2018 - Hierarchical patch delineation in fragmented landscapes","interactions":[],"lastModifiedDate":"2018-08-28T13:06:41","indexId":"70198955","displayToPublicDate":"2018-08-28T13:06:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical patch delineation in fragmented landscapes","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Purpose</strong></p><p id=\"Par1\" class=\"Para\">We developed a tool, FragPatch (FP), to delineate habitat patches for highly fragmented landscapes from a user-defined suitability map and two landscape perception values for a species of interest.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Methods</strong></p><p id=\"Par2\" class=\"Para\">We wrote a Python script in ArcGIS to delineate habitat patch networks using the user inputs and ArcGIS tools such as Euclidean distance, focal maximum, and reclassify. We validated the tool from mapped locations of urban deer and classified imagery for Syracuse, New York, USA.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par3\" class=\"Para\">FP successfully delineated salient patch networks and functional connectivity for white-tailed deer (<i class=\"EmphasisTypeItalic \">Odocoileus virginianus borealis</i>) in our fragmented study area, and complements a similar tool, PatchMorph (PM), developed for rural landscape with more uniform land cover.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par4\" class=\"Para\">A trade-off exists when choosing to use FP or PM and the decision must rely upon a well-defined research question. FP is better suited for isolating patches of habitat when the surrounding matrix is of low quality and suitable areas are highly scattered on the landscape. PM is able to identify patches when the matrix is more uniform, and is better at identifying broader scale connectivity than FP. We expect species biologists and urban landscape planners to use FP to better define patch networks and to understand the implications of fragmentation on a range of species population concerns, including conflicts with human uses.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s10980-018-0679-z","usgsCitation":"Kilheffer, C.R., and Underwood, H.B., 2018, Hierarchical patch delineation in fragmented landscapes: Landscape Ecology, v. 33, no. 9, p. 1533-1541, https://doi.org/10.1007/s10980-018-0679-z.","productDescription":"9 p.","startPage":"1533","endPage":"1541","ipdsId":"IP-091551","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":356836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-17","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842ede","contributors":{"authors":[{"text":"Kilheffer, Chellby R.","contributorId":177173,"corporation":false,"usgs":false,"family":"Kilheffer","given":"Chellby","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, H. Brian 0000-0002-2064-9128 hbunderw@usgs.gov","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":140185,"corporation":false,"usgs":true,"family":"Underwood","given":"H.","email":"hbunderw@usgs.gov","middleInitial":"Brian","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":743567,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70198959,"text":"70198959 - 2018 - Life history characteristics may be as important as climate projections for defining range shifts: An example for common tree species in the intermountain western US","interactions":[],"lastModifiedDate":"2018-11-21T15:19:41","indexId":"70198959","displayToPublicDate":"2018-08-28T13:03:58","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Life history characteristics may be as important as climate projections for defining range shifts: An example for common tree species in the intermountain western US","docAbstract":"<div id=\"ddi12813-sec-0001\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Aim</strong></p><p>Predictions of future suitable habitat for plant species with climate change are known to be affected by uncertainty associated with statistical approaches, climate models and occurrence records. However, life history characteristics related to dispersal and establishment processes as well as sensitivity to barriers created by land‐use may also play important roles in shaping future distributions with climate change. We compared the uncertainty in predicted distributions associated with climate projections to uncertainty associated with species interactions related to dispersal and establishment and land‐use barriers with four common animal‐dispersed tree species in pinyon–juniper woodlands in the western United States, a region experiencing increasing fragmentation due to land‐use.</p></div><div id=\"ddi12813-sec-0002\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Location</strong></p><p>Western USA.</p></div><div id=\"ddi12813-sec-0003\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Methods</strong></p><p>We compared the effects of life history characteristics related to species interactions (long‐distance dispersal and facilitation), land‐use fragmentation and variation in climate projections on species distributions with climate change using a simulation model. We evaluated the impacts of these factors on three characteristics of species distributions, area occupied, range size, and distance between patches, across four 30‐year intervals centred on 2020, 2040, 2060 and 2080.</p></div><div id=\"ddi12813-sec-0004\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Results</strong></p><p>We found that uncertainty associated with climate projections and the potential effects of facilitation on establishment had the greatest impact in distribution characteristics. The effects of all factors varied by species, despite their overlapping initial distributions and relatively similar dispersal traits, highlighting the impact of life history characteristics on model outcomes.</p></div><div id=\"ddi12813-sec-0005\" class=\"article-section__content\"><p class=\"article-section__sub-title section1\"><strong>Main conclusions</strong></p><p>These results suggest that assessments of species future range shifts and vulnerability to climate change should incorporate land‐use barriers and life history traits related to dispersal and establishment, particularly for species with strong facilitative interactions.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12813","usgsCitation":"Copeland, S.M., Bradford, J.B., Duniway, M.C., and Butterfield, B.J., 2018, Life history characteristics may be as important as climate projections for defining range shifts: An example for common tree species in the intermountain western US: Diversity and Distributions, v. 24, no. 12, p. 1844-1859, https://doi.org/10.1111/ddi.12813.","productDescription":"16 p.","startPage":"1844","endPage":"1859","ipdsId":"IP-095152","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468471,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12813","text":"Publisher Index Page"},{"id":437777,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99NEI4E","text":"USGS data release","linkHelpText":"Occurrence records and vegetation type data used for species distribution models in the western United States"},{"id":356835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"24","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842ee0","contributors":{"authors":[{"text":"Copeland, Stella M. 0000-0001-6707-4803 scopeland@usgs.gov","orcid":"https://orcid.org/0000-0001-6707-4803","contributorId":169538,"corporation":false,"usgs":true,"family":"Copeland","given":"Stella","email":"scopeland@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":743605,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198963,"text":"70198963 - 2018 - STEPWAT2: An individual‐based model for exploring the impact of climate and disturbance on dryland plant communities","interactions":[],"lastModifiedDate":"2018-08-28T13:00:10","indexId":"70198963","displayToPublicDate":"2018-08-28T12:59:39","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"STEPWAT2: An individual‐based model for exploring the impact of climate and disturbance on dryland plant communities","docAbstract":"<p><span>The combination of climate change and altered disturbance regimes is directly and indirectly affecting plant communities by mediating competitive interactions, resulting in shifts in species composition and abundance. Dryland plant communities, defined by low soil water availability and highly variable climatic regimes, are particularly vulnerable to climatic changes that exceed their historical range of variability. Individual‐based simulation models can be important tools to quantify the impacts of climate change, altered disturbance regimes, and their interaction on demographic and community‐level responses because they represent competitive interactions between individuals and individual responses to fluctuating environmental conditions. Here, we introduce STEPWAT2, an individual plant‐based simulation model for exploring the joint influence of climate change and disturbance regimes on dryland ecohydrology and plant community composition. STEPWAT2 utilizes a process‐based soil water model (SOILWAT2) to simulate available soil water in multiple soil layers, which plant individuals compete for based on the temporal matching of water and active root distributions with depth. This representation of resource utilization makes STEPWAT2 particularly useful for understanding how changes in soil moisture and altered disturbance regimes will concurrently impact demographic and community‐level responses in drylands. Our goals are threefold: (1) to describe the core modules and functions within STEPWAT2 (model description), (2) to validate STEPWAT2 model output using field data from big sagebrush plant communities (model validation), and (3) to highlight the usefulness of STEPWAT2 as a modeling framework for examining the impacts of climate change and disturbance regimes on dryland plant communities under future conditions (model application). To address goals 2 and 3, we focus on 15 sites that span the spatial extent of big sagebrush plant communities in the western United States. For goal 3, we quantify how climate change, fire, and grazing can interact to influence plant functional type biomass and composition. We use big sagebrush‐dominated plant communities to demonstrate the functionality of STEPWAT2, as these communities are among the most widespread dryland ecosystems in North America.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2394","usgsCitation":"Palmquist, K.A., Bradford, J.B., Martin, T.E., Schlaepfer, D., and Lauenroth, W.K., 2018, STEPWAT2: An individual‐based model for exploring the impact of climate and disturbance on dryland plant communities: Ecosphere, v. 9, no. 8, p. 1-23, https://doi.org/10.1002/ecs2.2394.","productDescription":"e02394; 23 p.","startPage":"1","endPage":"23","ipdsId":"IP-095177","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2394","text":"Publisher Index Page"},{"id":356834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-22","publicationStatus":"PW","scienceBaseUri":"5b98a272e4b0702d0e842ee2","contributors":{"authors":[{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":743612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743614,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Trace E.","contributorId":138852,"corporation":false,"usgs":false,"family":"Martin","given":"Trace","email":"","middleInitial":"E.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":743615,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":743616,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":743613,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70201107,"text":"70201107 - 2018 - Priority questions in multidisciplinary drought research","interactions":[],"lastModifiedDate":"2018-11-29T11:28:57","indexId":"70201107","displayToPublicDate":"2018-08-28T11:28:50","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1249,"text":"Climate Research","active":true,"publicationSubtype":{"id":10}},"title":"Priority questions in multidisciplinary drought research","docAbstract":"<p><span>Addressing timely and relevant questions across a multitude of spatio-temporal scales, state-of-the-art interdisciplinary drought research will likely increase in importance under projected climate change. Given the complexity of the various direct and indirect causes and consequences of a drier world, scientific tasks need to be coordinated efficiently. Drought-related research endeavors ranging from individual projects to global initiatives therefore require prioritization. Here, we present 60 priority questions for optimizing future drought research. This topical catalogue reflects the experience of 65 scholars from 21 countries and almost 20 fields of research in both natural sciences and the humanities. The set of drought-related questions primarily covers drought monitoring, impacts, forecasting, climatology, adaptation, as well as planning and policy. The questions highlight the increasingly important role of remote sensing techniques in drought monitoring, importance of drought forecasting and understanding the relationships between drought parameters and drought impacts, but also challenges of drought adaptation and preparedness policies.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/cr01509","usgsCitation":"Trnka, M., Jurecka, F., Hayes, M., Bartosova, L., Anderson, M., Brazdil, R., Brown, J.F., Camarero, J.J., Cudlin, P., Dobrovolny, P., Eitzinger, J., Feng, S., Finnessey, T., Gregoric, G., Havlik, P., Hain, C., Holman, I., Johnson, D., Kersebaum, K.C., Charpentier Ljungqvist, F., Luterbacher, J., Micale, F., Hartl-Meier, C., Mozny, M., Nejedlik, P., Eivind Olesen, J., Ruiz-Ramos, M., Rotter, R.P., Senay, G., Vicente-Serrano, S.M., Svoboda, M., Susnik, A., Tadesse, T., Vizina, A., Wardlow, B.D., Zalud, Z., and Buntgen, U., 2018, Priority questions in multidisciplinary drought research: Climate Research, v. 75, no. 3, p. 241-260, https://doi.org/10.3354/cr01509.","productDescription":"20 p.","startPage":"241","endPage":"260","ipdsId":"IP-090898","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":468473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/cr01509","text":"Publisher Index Page"},{"id":359788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0108d6e4b0815414cc2e01","contributors":{"authors":[{"text":"Trnka, Miroslav 0000-0003-4727-8379","orcid":"https://orcid.org/0000-0003-4727-8379","contributorId":210900,"corporation":false,"usgs":false,"family":"Trnka","given":"Miroslav","email":"","affiliations":[{"id":38156,"text":"Global Change Research Institute","active":true,"usgs":false}],"preferred":false,"id":752701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Michael","contributorId":206365,"corporation":false,"usgs":true,"family":"Hayes","given":"Michael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":752744,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jurecka, Frantisek","contributorId":210923,"corporation":false,"usgs":false,"family":"Jurecka","given":"Frantisek","email":"","affiliations":[],"preferred":false,"id":752745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartosova, Lenka","contributorId":210924,"corporation":false,"usgs":false,"family":"Bartosova","given":"Lenka","email":"","affiliations":[],"preferred":false,"id":752746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Martha","contributorId":210925,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","affiliations":[],"preferred":false,"id":752747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brazdil, Rudolf","contributorId":210926,"corporation":false,"usgs":false,"family":"Brazdil","given":"Rudolf","email":"","affiliations":[],"preferred":false,"id":752748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":752749,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Camarero, Jesus J.","contributorId":181963,"corporation":false,"usgs":false,"family":"Camarero","given":"Jesus","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":752750,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cudlin, Pavel","contributorId":198387,"corporation":false,"usgs":false,"family":"Cudlin","given":"Pavel","email":"","affiliations":[{"id":35217,"text":"Global Change Research Centre of the AS CR, v.v.i., Poříčí 3b, 60 300 Brno, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":752751,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dobrovolny, Petr","contributorId":210927,"corporation":false,"usgs":false,"family":"Dobrovolny","given":"Petr","email":"","affiliations":[],"preferred":false,"id":752752,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eitzinger, 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0000-0002-4102-1137","orcid":"https://orcid.org/0000-0002-4102-1137","contributorId":147617,"corporation":false,"usgs":false,"family":"Tadesse","given":"Tsegaye","email":"","affiliations":[],"preferred":false,"id":752775,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Vizina, Adam","contributorId":210943,"corporation":false,"usgs":false,"family":"Vizina","given":"Adam","email":"","affiliations":[],"preferred":false,"id":752776,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Wardlow, Brian D.","contributorId":75845,"corporation":false,"usgs":true,"family":"Wardlow","given":"Brian","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":752777,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Zalud, Zdenek","contributorId":210944,"corporation":false,"usgs":false,"family":"Zalud","given":"Zdenek","email":"","affiliations":[],"preferred":false,"id":752778,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Buntgen, Ulf 0000-0002-3821-0818","orcid":"https://orcid.org/0000-0002-3821-0818","contributorId":194725,"corporation":false,"usgs":false,"family":"Buntgen","given":"Ulf","email":"","affiliations":[],"preferred":false,"id":752779,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}}
,{"id":70198966,"text":"70198966 - 2018 - Increasing connectivity between metapopulation ecology and landscape ecology","interactions":[],"lastModifiedDate":"2018-08-28T10:15:45","indexId":"70198966","displayToPublicDate":"2018-08-27T20:41:41","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Increasing connectivity between metapopulation ecology and landscape ecology","docAbstract":"<p>Metapopulation ecology and landscape ecology aim to understand how spatial structure influences ecological processes, yet these disciplines address the problem using fundamentally different modeling approaches. Metapopulation models describe how the spatial distribution of patches affects colonization and extinction, but often do not account for the heterogeneity in the landscape between patches. Models in landscape ecology use detailed descriptions of landscape structure, but often without considering colonization and extinction dynamics. We present a novel spatially explicit modeling framework for narrowing the divide between these disciplines to advance understanding of the effects of landscape structure on metapopulation dynamics. Unlike previous efforts, this framework allows for statistical inference on landscape resistance to colonization using empirical data. We demonstrate the approach using 11&nbsp;yr of data on a threatened amphibian in a desert ecosystem. Occupancy data for <i>Lithobates chiricahuensis</i> (Chiricahua leopard frog) were collected on the Buenos Aires National Wildlife Refuge (BANWR), Arizona, USA from 2007 to 2017 following a reintroduction in 2003. Results indicated that colonization dynamics were influenced by both patch characteristics and landscape structure. Landscape resistance increased with increasing elevation and distance to the nearest streambed. Colonization rate was also influenced by patch quality, with semi‐permanent and permanent ponds contributing substantially more to the colonization of neighboring ponds relative to intermittent ponds. Ponds that only hold water intermittently also had the highest extinction rate. Our modeling framework can be widely applied to understand metapopulation dynamics in complex landscapes, particularly in systems in which the environment between habitat patches influences the colonization process </p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2189","usgsCitation":"Howell, P., Muths, E.L., Hossack, B., Sigafus, B., and Chandler, R., 2018, Increasing connectivity between metapopulation ecology and landscape ecology: Ecology, v. 99, no. 5, p. 1119-1128, https://doi.org/10.1002/ecy.2189.","productDescription":"10 p.","startPage":"1119","endPage":"1128","ipdsId":"IP-073405","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2189","text":"Publisher Index Page"},{"id":356817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-03-25","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ee4","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":173495,"corporation":false,"usgs":false,"family":"Howell","given":"Paige E.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":743617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":743618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":207343,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":743619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigafus, Brent","contributorId":207344,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chandler, Richard rchandler@usgs.gov","contributorId":2511,"corporation":false,"usgs":true,"family":"Chandler","given":"Richard","email":"rchandler@usgs.gov","affiliations":[{"id":13266,"text":"Warnell School of Forestry and Natural Resources, The University of Georgia","active":true,"usgs":false}],"preferred":false,"id":743621,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70198932,"text":"70198932 - 2018 - Biocrusts: The living skin of the Earth","interactions":[],"lastModifiedDate":"2018-08-27T16:16:52","indexId":"70198932","displayToPublicDate":"2018-08-27T16:16:48","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"title":"Biocrusts: The living skin of the Earth","docAbstract":"<p>Biological soil crusts (biocrusts) form a “living skin” at the soil surface in many low productivity ecosystems around the world including water- and cold-limited environments, and early successional seres (Belnap et al. 2003). They may be composed of any configuration of soil surface-dwelling cyanobacteria, eukaryotic algae, lichens, mosses or liverworts, and support assemblages of decomposers and a faunal food web (Belnap et al. 2003). These soil surface communities have global relevance, as it has been recently estimated that they cover about 12% of the terrestrial surface currently (Rodriguez-Caballero et al. 2018). Biocrust communities are perhaps an ideal subject for the journal Plant and Soil, because they are simultaneously plant-like, due to their dominance by autotrophs, yet biocrusts are also clearly a physical feature of the soil given that component organisms are enmeshed in, adherent to, or otherwise in direct contact with the soil surface. The activity of the organisms is what engineers the well-aggregated thin layer at the soil surface that we recognize as a biocrust (Belnap et al. 2003). The contributions of biocrusts to ecosystem function has fueled much research interest, initially in the observation of biocrusts’ soil aggregating and erosion-resisting nature, and later as a multifunctional, globally-relevant ecosystem element instrumental in: 1. building or otherwise altering soil nutrient stocks through N-fixation (Elbert et al. 2012), dust trapping (Reynolds et al. 2001) and nutrient cycling (Strauss et al. 2012), 2. influencing hydrological properties of soil such as the water balance (Chamizo et al. 2016), and 3. The thermal energy balance of the ecosystem (Coradeau et al. 2016, Rutherford et al. 2017).</p>","language":"English","publisher":"Springer","doi":"10.1007/s11104-018-3735-1","usgsCitation":"Bowker, M.A., Reed, S.C., Maestre, F.T., and Eldridge, D.J., 2018, Biocrusts: The living skin of the Earth: Plant and Soil, v. 429, no. 1-2, p. 1-7, https://doi.org/10.1007/s11104-018-3735-1.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-098860","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-018-3735-1","text":"Publisher Index Page"},{"id":356812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"429","issue":"1-2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-03","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ee8","contributors":{"authors":[{"text":"Bowker, Matthew A.","contributorId":196428,"corporation":false,"usgs":false,"family":"Bowker","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":743475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maestre, Fernando T.","contributorId":207297,"corporation":false,"usgs":false,"family":"Maestre","given":"Fernando","email":"","middleInitial":"T.","affiliations":[{"id":37513,"text":"Departamento de Biología y Geología, Física y Química Inorgánica, ESCET, Universidad Rey Juan Carlos, c/ Tulipán s/n, 28933 Móstoles, Spain","active":true,"usgs":false}],"preferred":false,"id":743477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eldridge, David J. 0000-0002-2191-486X","orcid":"https://orcid.org/0000-0002-2191-486X","contributorId":207298,"corporation":false,"usgs":false,"family":"Eldridge","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":37514,"text":"Center for Ecosystem Science, University of New South Wales, Sydney, NSW 2052, Australia","active":true,"usgs":false}],"preferred":false,"id":743478,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198659,"text":"fs20183054 - 2018 - Divisions of geologic time—Major chronostratigraphic and geochronologic units","interactions":[{"subject":{"id":98538,"text":"fs20103059 - 2010 - Divisions of geologic time-major chronostratigraphic and geochronologic units","indexId":"fs20103059","publicationYear":"2010","noYear":false,"title":"Divisions of geologic time-major chronostratigraphic and geochronologic units"},"predicate":"SUPERSEDED_BY","object":{"id":70198659,"text":"fs20183054 - 2018 - Divisions of geologic time—Major chronostratigraphic and geochronologic units","indexId":"fs20183054","publicationYear":"2018","noYear":false,"title":"Divisions of geologic time—Major chronostratigraphic and geochronologic units"},"id":1}],"lastModifiedDate":"2018-12-12T09:41:36","indexId":"fs20183054","displayToPublicDate":"2018-08-27T15:15:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3054","displayTitle":"Divisions of Geologic Time—Major Chronostratigraphic and Geochronologic Units","title":"Divisions of geologic time—Major chronostratigraphic and geochronologic units","docAbstract":"<h1>Introduction</h1><p>Effective communication in the geosciences requires a consistent nomenclature for stratigraphic units and, especially, for divisions of geologic time. A geologic time scale is composed of standard stratigraphic divisions based on rock sequences and is calibrated in years.</p><p>Geologists from the U.S. Geological Survey (USGS), State geological surveys, academia, and other organizations require a consistent time scale to be used in communicating ages of geo­logic units in the United States. Many international debates have occurred over names and boundaries of units, and various time scales have been used by the geoscience community.</p><p>For consistent usage of time terms, the USGS Geologic Names Committee and the Association of American State Geologists devel­oped the<strong> Divisions of Geologic Time</strong>; the 2018 update in this fact sheet contains the unit names and boundary age estimates ratified by the International Commission on Stratigraphy in 2018. Scientists may use other published time scales, provided that these are specified and referenced.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183054","collaboration":"Prepared in cooperation with the  Association of American State Geologists","usgsCitation":"U.S. Geological Survey Geologic Names Committee, 2018, Divisions of geologic time—Major chronostratigraphic and geochronologic units: U.S. Geological Survey Fact Sheet 2018–3054, 2 p., https://doi.org/10.3133/fs20183054.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-098903","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":356722,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20103059","text":"Fact Sheet  2010–3059","linkHelpText":"- Divisions of Geologic Time—Major Chronostratigraphic and Geochronologic Units"},{"id":356723,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20073015","text":"Fact Sheet 2007–3015","linkHelpText":"- Divisions of Geologic Time - Major Chronostratigraphic and Geochronologic Units"},{"id":356720,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3054/coverthb.jpg"},{"id":356721,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3054/fs20183054.pdf","text":"Report","size":"281 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3054"}],"contact":"<p>Eastern Geology and Paleoclimate Science Center<br>U.S. Geological Survey<br>MS 926A<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<p><br data-mce-bogus=\"1\"></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2018-08-27","noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842eea","contributors":{"authors":[{"text":"U.S. Geological Survey Geologic Names Committee","contributorId":207261,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey Geologic Names Committee","id":743357,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70198931,"text":"70198931 - 2018 - Beyond traditional ecological restoration on the Colorado Plateau","interactions":[],"lastModifiedDate":"2018-11-14T09:31:04","indexId":"70198931","displayToPublicDate":"2018-08-27T14:38:56","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Beyond traditional ecological restoration on the Colorado Plateau","docAbstract":"<p><span>The Colorado Plateau is one of North America's five major deserts, encompassing 340,000 km</span><sup>2</sup><span>&nbsp;of the western U.S., and offering many opportunities for restoration relevant to researchers and land managers in drylands around the globe. The Colorado Plateau is comprised of vast tracts of public land managed by local, state, and federal agencies that oversee a wide range of activities (e.g., mineral and energy extraction, livestock grazing, and recreation). About 75% of the Plateau is managed by federal and tribal agencies and tens of millions of people visit the Plateau's public lands each year. However, even in the face of this diverse use, our knowledge of effective ways to restore Plateau ecosystems remains relatively poor. Further, the multiple agencies on the Plateau have mandates that differ greatly in allowable practices, restoration needs, and desired outcomes. The Colorado Plateau is also expected to undergo ecosystem shifts in the face of climate change, further complicating management decisions and potentially limiting some options while creating others. Here we explore the current state of Colorado Plateau restoration science and underscore key challenges and opportunities for improving our capacity to maintain the myriad of services provided by these desert ecosystems. We highlight past research efforts and future needs related to restoration concepts, including consideration and design of novel ecosystems, mitigation for and adaptation to climate change, use of genetically diverse seed adapted for current and future conditions, and the value of strong multi‐agency and stakeholder collaborations in restoring systems on the Colorado Plateau and beyond.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12876","usgsCitation":"Winkler, D.E., Backer, D.M., Belnap, J., Bradford, J.B., Butterfield, B.J., Copeland, S.M., Duniway, M.C., Faist, A.M., Fick, S., Jensen, S.L., Kramer, A.T., Mann, R., Massatti, R., McCormick, M.L., Munson, S.M., Olwell, P., Parr, S.D., Pfennigwerth, A., Pilmanis, A.M., Richardson, B., Samuel, E., See, K., Young, K.E., and Reed, S.C., 2018, Beyond traditional ecological restoration on the Colorado Plateau: Restoration Ecology, v. 26, no. 6, p. 1055-1060, https://doi.org/10.1111/rec.12876.","productDescription":"6 p.","startPage":"1055","endPage":"1060","ipdsId":"IP-098102","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12876","text":"Publisher Index Page"},{"id":356803,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado Plateau","volume":"26","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-14","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842eec","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Backer, Dana M.","contributorId":207326,"corporation":false,"usgs":false,"family":"Backer","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743581,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":743582,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Copeland, Stella M. 0000-0001-6707-4803 scopeland@usgs.gov","orcid":"https://orcid.org/0000-0001-6707-4803","contributorId":169538,"corporation":false,"usgs":true,"family":"Copeland","given":"Stella","email":"scopeland@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743583,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Faist, Akasha M.","contributorId":193038,"corporation":false,"usgs":false,"family":"Faist","given":"Akasha","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fick, Stephen E.","contributorId":172490,"corporation":false,"usgs":false,"family":"Fick","given":"Stephen E.","affiliations":[{"id":27054,"text":"Department of Plant Sciences, University of California, Davis, CA, 95616  USA. E-mail: sfick@ucdavis.edu","active":true,"usgs":false}],"preferred":false,"id":743586,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jensen, Scott L.","contributorId":207327,"corporation":false,"usgs":false,"family":"Jensen","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":743587,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kramer, Andrea T.","contributorId":207328,"corporation":false,"usgs":false,"family":"Kramer","given":"Andrea","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":743588,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mann, Rebecca","contributorId":207293,"corporation":false,"usgs":true,"family":"Mann","given":"Rebecca","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743589,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743590,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McCormick, Molly L.","contributorId":207329,"corporation":false,"usgs":false,"family":"McCormick","given":"Molly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":743591,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743592,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olwell, Peggy","contributorId":39609,"corporation":false,"usgs":true,"family":"Olwell","given":"Peggy","affiliations":[],"preferred":false,"id":743593,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Parr, Steve D.","contributorId":207330,"corporation":false,"usgs":false,"family":"Parr","given":"Steve","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":743594,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Pfennigwerth, Alix 0000-0001-5102-7324","orcid":"https://orcid.org/0000-0001-5102-7324","contributorId":207295,"corporation":false,"usgs":true,"family":"Pfennigwerth","given":"Alix","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743595,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pilmanis, Adrienne M.","contributorId":207331,"corporation":false,"usgs":false,"family":"Pilmanis","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":743596,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Richardson, Bryce A.","contributorId":37249,"corporation":false,"usgs":true,"family":"Richardson","given":"Bryce A.","affiliations":[],"preferred":false,"id":743597,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Samuel, Ella","contributorId":207332,"corporation":false,"usgs":false,"family":"Samuel","given":"Ella","affiliations":[],"preferred":false,"id":743598,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"See, Kathy","contributorId":207333,"corporation":false,"usgs":false,"family":"See","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":743599,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Young, Kristina E. kyoung@usgs.gov","contributorId":5842,"corporation":false,"usgs":true,"family":"Young","given":"Kristina","email":"kyoung@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":743600,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":743601,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70198922,"text":"70198922 - 2018 - Effects of urbanization, and habitat composition on site occupancy of two snake species using regional monitoring data from southern California","interactions":[],"lastModifiedDate":"2018-10-04T13:21:21","indexId":"70198922","displayToPublicDate":"2018-08-27T14:22:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of urbanization, and habitat composition on site occupancy of two snake species using regional monitoring data from southern California","docAbstract":"<p><span>Detection data from a regional, reptile-monitoring program conducted by the U.S. Geological Survey were analyzed to understand the effects of urbanization and habitat composition on site occupancy of the coachwhip (</span><i>Masticophis flagellum</i><span>) and striped racer (</span><i>M. lateralis</i><span>) in coastal southern California. Likelihood-based occupancy models indicated striped racers responded to habitat composition, favoring scrub-dominated sites. Coachwhips also responded to habitat composition, favoring open habitats. However, unlike racers, coachwhip spatial population dynamics were strongly associated with the fragmentation and isolation of natural areas caused by urbanization. The odds of coachwhips occupying a site were 64 times greater in large connected areas than the most urbanized and fragmented sites. For coachwhips within urbanized and fragmented sites, the odds of extinction were 10 times greater and odds of colonization were five times lower than in large connected sites. Observed differences between both species in habitat use and specificity are supported by telemetry studies and corroborate existing knowledge of historical patterns of occurrence within the region. Movement data on the coachwhip and striped racer indicate the coachwhip is a wider-ranging species with a greater propensity to encounter roads and other edge environments. Collectively, the results suggest there is widespread loss of the coachwhip from the region, and that long-term persistence of remaining populations is dependent on metapopulation dynamics. The substantially different response of the two species to land-use change serves as a caution against the casual use of closely related species as surrogates in the development of species-specific conservation plans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2018.e00427","usgsCitation":"Mitrovich, M.J., Diffendorfer, J., Brehme, C.S., and Fisher, R.N., 2018, Effects of urbanization, and habitat composition on site occupancy of two snake species using regional monitoring data from southern California: Global Ecology and Conservation, v. 15, p. 1-10, https://doi.org/10.1016/j.gecco.2018.e00427.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-100913","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":468477,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2018.e00427","text":"Publisher Index Page"},{"id":437778,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N958Z8","text":"USGS data release","linkHelpText":"Masticophis occupancy in southern California, 1995-2000"},{"id":356798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"15","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842eee","contributors":{"authors":[{"text":"Mitrovich, Milan J. 0000-0001-6053-1143","orcid":"https://orcid.org/0000-0001-6053-1143","contributorId":207272,"corporation":false,"usgs":false,"family":"Mitrovich","given":"Milan","email":"","middleInitial":"J.","affiliations":[{"id":37506,"text":"San Diego State University; former USGS employee","active":true,"usgs":false}],"preferred":false,"id":743441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":743442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":743443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":743440,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198919,"text":"70198919 - 2018 - Quantifying functional connectivity: The role of breeding habitat, abundance, and landscape features on range‐wide gene flow in sage‐grouse","interactions":[],"lastModifiedDate":"2018-08-27T14:05:24","indexId":"70198919","displayToPublicDate":"2018-08-27T14:05:20","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying functional connectivity: The role of breeding habitat, abundance, and landscape features on range‐wide gene flow in sage‐grouse","docAbstract":"<p><span>Functional connectivity, quantified using landscape genetics, can inform conservation through the identification of factors linking genetic structure to landscape mechanisms. We used breeding habitat metrics, landscape attributes, and indices of grouse abundance, to compare fit between structural connectivity and genetic differentiation within five long‐established Sage‐Grouse Management Zones (MZ) I‐V using microsatellite genotypes from 6,844 greater sage‐grouse (</span><i>Centrocercus urophasianus</i><span>) collected across their 10.7&nbsp;million‐km</span><sup>2</sup><span>&nbsp;range. We estimated structural connectivity using a circuit theory‐based approach where we built resistance surfaces using thresholds dividing the landscape into “habitat” and “nonhabitat” and nodes were clusters of sage‐grouse leks (where feather samples were collected using noninvasive techniques). As hypothesized, MZ‐specific habitat metrics were the best predictors of differentiation. To our surprise, inclusion of grouse abundance‐corrected indices did not greatly improve model fit in most MZs. Functional connectivity of breeding habitat was reduced when probability of lek occurrence dropped below 0.25 (MZs I, IV) and 0.5 (II), thresholds lower than those previously identified as required for the formation of breeding leks, which suggests that individuals are willing to travel through undesirable habitat. The individual MZ landscape results suggested terrain roughness and steepness shaped functional connectivity across all MZs. Across respective MZs, sagebrush availability (&lt;10%–30%; II, IV, V), tree canopy cover (&gt;10%; I, II, IV), and cultivation (&gt;25%; I, II, IV, V) each reduced movement beyond their respective thresholds. Model validations confirmed variation in predictive ability across MZs with top resistance surfaces better predicting gene flow than geographic distance alone, especially in cases of low and high differentiation among lek groups. The resultant resistance maps we produced spatially depict the strength and redundancy of range‐wide gene flow and can help direct conservation actions to maintain and restore functional connectivity for sage‐grouse.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/eva.12627","usgsCitation":"Row, J.R., Doherty, K., Cross, T.B., Schwartz, M.K., Oyler-McCance, S.J., Naugle, D.E., Knick, S.T., and Fedy, B., 2018, Quantifying functional connectivity: The role of breeding habitat, abundance, and landscape features on range‐wide gene flow in sage‐grouse: Evolutionary Applications, v. 11, no. 8, p. 1305-1321, https://doi.org/10.1111/eva.12627.","productDescription":"17 p.","startPage":"1305","endPage":"1321","ipdsId":"IP-091293","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468478,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12627","text":"Publisher Index Page"},{"id":437779,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RB73V0","text":"USGS data release","linkHelpText":"Genetic and functional connectivity data for greater sage-grouse across the species range generated 2005-2015 (ver. 2.0, December 2022)"},{"id":356795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-05-12","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ef0","contributors":{"authors":[{"text":"Row, Jeffery R.","contributorId":178107,"corporation":false,"usgs":false,"family":"Row","given":"Jeffery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":743427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":743428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":743429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":743430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":743426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naugle, Dave E.","contributorId":207278,"corporation":false,"usgs":false,"family":"Naugle","given":"Dave","email":"","middleInitial":"E.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":743431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knick, Steven T. 0000-0003-4025-1704 steve_knick@usgs.gov","orcid":"https://orcid.org/0000-0003-4025-1704","contributorId":159,"corporation":false,"usgs":true,"family":"Knick","given":"Steven","email":"steve_knick@usgs.gov","middleInitial":"T.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":743432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fedy, Bradley C.","contributorId":40536,"corporation":false,"usgs":true,"family":"Fedy","given":"Bradley C.","affiliations":[],"preferred":false,"id":743433,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70198899,"text":"70198899 - 2018 - Ratio of mercury concentration to PCB concentration varies with sex of white sucker (Catostomus commersonii)","interactions":[],"lastModifiedDate":"2025-05-21T14:44:38.450087","indexId":"70198899","displayToPublicDate":"2018-08-27T12:39:28","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ratio of mercury concentration to PCB concentration varies with sex of white sucker (<i>Catostomus commersonii</i>)","title":"Ratio of mercury concentration to PCB concentration varies with sex of white sucker (Catostomus commersonii)","docAbstract":"<p><span>The whole-fish total mercury (Hg) concentrations were determined in 25 mature female and 26 mature male white suckers (</span><i>Catostomus commersonii</i><span>) caught during their spawning run in the Kewaunee River, a tributary to Lake Michigan. The age of each fish was estimated using thin-sectioned otoliths, and total length (TL) and weight were determined for each fish. When adjusted for the effect of age, males were found to be 7% higher in Hg concentration than females. Nearly all (about 98%) of the Hg found in the white suckers was determined to be methylmercury. In an earlier study on the same 51 white suckers from the Kewaunee River spawning run, males were found to be 18% higher than females in polychlorinated biphenyl (PCB) concentration. We determined that the ratio of Hg concentration to PCB concentration in females was significantly higher than that in males. Thus, sex significantly interacted with contaminant type (Hg or PCBs) in determining contaminant concentrations. The most plausible explanation for this interaction was that males eliminated Hg at a faster rate than females, most likely due to the boosting of the Hg-elimination rate by certain androgens such as testosterone and 11-ketotestosterone. Hg concentrations in the white suckers were well below federal guidelines for fish consumption.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/environments5090094","usgsCitation":"Madenjian, C.P., Stevens, A.L., Stapanian, M.A., Krabbenhoft, D.P., DeWild, J.F., Ogorek, J.M., Edwards, W.H., Ogilvie, L.M., and McIntyre, P.B., 2018, Ratio of mercury concentration to PCB concentration varies with sex of white sucker (Catostomus commersonii): Environments, v. 5, no. 9, 94; 13 p., https://doi.org/10.3390/environments5090094.","productDescription":"94; 13 p.","ipdsId":"IP-095962","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":356786,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":468479,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments5090094","text":"Publisher Index Page"}],"volume":"5","issue":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","scienceBaseUri":"5b98a273e4b0702d0e842ef2","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":743322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew L.","contributorId":199914,"corporation":false,"usgs":false,"family":"Stevens","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":743323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":743324,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743325,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":743326,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":743327,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, William H. 0000-0002-4107-3164 wedwards@usgs.gov","orcid":"https://orcid.org/0000-0002-4107-3164","contributorId":203253,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"wedwards@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":743328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ogilvie, Lynn M. 0000-0003-4584-7443 logilvie@usgs.gov","orcid":"https://orcid.org/0000-0003-4584-7443","contributorId":5755,"corporation":false,"usgs":true,"family":"Ogilvie","given":"Lynn","email":"logilvie@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":743329,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":743330,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70198894,"text":"70198894 - 2018 - Global Modern Charcoal Dataset (GMCD): A tool for exploring proxy-fire linkages and spatial patterns of biomass burning","interactions":[],"lastModifiedDate":"2019-06-03T13:19:34","indexId":"70198894","displayToPublicDate":"2018-08-27T12:35:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"Global Modern Charcoal Dataset (GMCD): A tool for exploring proxy-fire linkages and spatial patterns of biomass burning","docAbstract":"<p><span>Progresses in reconstructing Earth's history of&nbsp;biomass burning&nbsp;has motivated the development of a modern&nbsp;charcoal&nbsp;dataset covering the last decades through a community-based initiative called the Global Modern Charcoal Dataset (GMCD). As the frequency, intensity and spatial scale of fires are predicted to increase regionally and globally in conjunction with changing climate, anthropogenic activities and land-use patterns, there is an increasing need to further understand, calibrate and interrogate recent and past fire regimes as related to changing fire emissions and changing carbon sources and sinks. Discussions at the PAGES Global Paleofire Working Group workshop 2015, including paleoecologists, numerical modelers, statisticians, paleoclimatologists, archeologists, and anthropologists, identified an urgent need for an open, standardized, quality-controlled and globally representative dataset of modern sedimentary charcoal and other sediment-based fire proxies. This dataset fits into a gap between metrics of biomass burning indicators, current fire regimes and land cover, and&nbsp;carbon emissions&nbsp;inventories. The dataset will enable the calibration of paleofire data with other modern datasets including: data of satellite derived fire occurrence, vegetation patterns and&nbsp;species diversity,&nbsp;land cover change, and a range of sources capturing biochemical cycling. Standardized protocols are presented for collecting and analyzing sediment-based fire proxies, including charcoal, levoglucosan,&nbsp;black carbon, and soot. The GMCD will provide a publicly-accessible repository of modern fire sediment surface samples in all&nbsp;terrestrial ecosystems. Sample collection and contributions to the dataset will be solicited from lacustrine, peat, marine, glacial, or other sediments, from a wide variety of ecosystems and&nbsp;</span>geographic locations<span>.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2017.03.046","usgsCitation":"Hawthorne, D., Courtney Mustaphi, C.J., Aleman, J.C., Blarquez, O., Colombaroli, D., Daniau, A., Marlon, J.R., Power, M., Vanniere, B., Han, Y., Hantson, S., Kehrwald, N.M., Magi, B.I., Yue, X., Carcaillet, C., Marchant, R., Ogunkoya, A., Githumbi, E.N., and Muriuki, R.M., 2018, Global Modern Charcoal Dataset (GMCD): A tool for exploring proxy-fire linkages and spatial patterns of biomass burning: Quaternary International, v. 488, p. 3-17, https://doi.org/10.1016/j.quaint.2017.03.046.","productDescription":"15 p.","startPage":"3","endPage":"17","ipdsId":"IP-085704","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":468480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quaint.2017.03.046","text":"Publisher Index Page"},{"id":356785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"488","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98a274e4b0702d0e842ef4","contributors":{"authors":[{"text":"Hawthorne, Donna","contributorId":207237,"corporation":false,"usgs":false,"family":"Hawthorne","given":"Donna","email":"","affiliations":[{"id":37491,"text":"Botany Department, School of Natural Science, Trinity College Dublin, College Green, Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":743294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtney Mustaphi, Colin J.","contributorId":168921,"corporation":false,"usgs":false,"family":"Courtney Mustaphi","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":743295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleman, Julie C.","contributorId":168919,"corporation":false,"usgs":false,"family":"Aleman","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":25389,"text":"Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":743296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blarquez, Olivier","contributorId":207238,"corporation":false,"usgs":false,"family":"Blarquez","given":"Olivier","email":"","affiliations":[{"id":37492,"text":"Department de Geographie, Universite de Montreal, Montreal, Canada","active":true,"usgs":false}],"preferred":false,"id":743297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colombaroli, Daniele 0000-0002-9632-2009","orcid":"https://orcid.org/0000-0002-9632-2009","contributorId":194726,"corporation":false,"usgs":false,"family":"Colombaroli","given":"Daniele","email":"","affiliations":[],"preferred":false,"id":743298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daniau, Anne-Laure","contributorId":195869,"corporation":false,"usgs":false,"family":"Daniau","given":"Anne-Laure","email":"","affiliations":[{"id":34431,"text":"Université de Bordeaux, Talence, France","active":true,"usgs":false}],"preferred":false,"id":743299,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marlon, Jennifer R.","contributorId":207239,"corporation":false,"usgs":false,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[{"id":37202,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":743300,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, Mitchell","contributorId":207240,"corporation":false,"usgs":false,"family":"Power","given":"Mitchell","affiliations":[{"id":37493,"text":"University of Utah, Salt Lake City, UT, USA","active":true,"usgs":false}],"preferred":false,"id":743301,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vanniere, Boris","contributorId":195870,"corporation":false,"usgs":false,"family":"Vanniere","given":"Boris","affiliations":[{"id":34432,"text":"Université Bourgogne Franche-Comté, Besançon, France","active":true,"usgs":false}],"preferred":false,"id":743302,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Han, Youngming","contributorId":207241,"corporation":false,"usgs":false,"family":"Han","given":"Youngming","affiliations":[{"id":37494,"text":"SKLLQG and Key Lab of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China","active":true,"usgs":false}],"preferred":false,"id":743303,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hantson, Stijn","contributorId":207242,"corporation":false,"usgs":false,"family":"Hantson","given":"Stijn","email":"","affiliations":[{"id":37495,"text":"Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research, Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany","active":true,"usgs":false}],"preferred":false,"id":743304,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":743293,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Magi, Brian I.","contributorId":168923,"corporation":false,"usgs":false,"family":"Magi","given":"Brian","email":"","middleInitial":"I.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":743305,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yue, Xu","contributorId":207243,"corporation":false,"usgs":false,"family":"Yue","given":"Xu","email":"","affiliations":[{"id":37202,"text":"School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":743306,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Carcaillet, Christopher","contributorId":207244,"corporation":false,"usgs":false,"family":"Carcaillet","given":"Christopher","email":"","affiliations":[{"id":37496,"text":"Ecole Pratique des Hautes Etudes and Lab for Ecology of Hydrosystems, Universite Lyon, Villeurbanne, France","active":true,"usgs":false}],"preferred":false,"id":743307,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Marchant, Rob","contributorId":207245,"corporation":false,"usgs":false,"family":"Marchant","given":"Rob","email":"","affiliations":[{"id":37497,"text":"York Intsitute for Tropical Ecosystems, Environment Department, Wentworth Way, University of York, Heslington, York, UK","active":true,"usgs":false}],"preferred":false,"id":743308,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ogunkoya, Ayodele","contributorId":207246,"corporation":false,"usgs":false,"family":"Ogunkoya","given":"Ayodele","email":"","affiliations":[{"id":37498,"text":"Montana State University, Department of Ecology, Bozeman, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":743309,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Githumbi, Esther N.","contributorId":168922,"corporation":false,"usgs":false,"family":"Githumbi","given":"Esther","email":"","middleInitial":"N.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":743310,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Muriuki, Rebecca M.","contributorId":207247,"corporation":false,"usgs":false,"family":"Muriuki","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":37499,"text":"National Museums of Kenya, Earth Science Department, Paleobotany and Palynology Section, Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":743311,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70196297,"text":"70196297 - 2018 - Seismic hazard classifications and Vs30 in Connecticut using MASW and HVSR methods","interactions":[],"lastModifiedDate":"2019-03-27T10:29:51","indexId":"70196297","displayToPublicDate":"2018-08-27T10:27:59","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seismic hazard classifications and Vs30 in Connecticut using MASW and HVSR methods","docAbstract":"<p>Five new seismic hazard classifications for Hartford County, Connecticut (CT), were proposed by New England State Geologists (NESG) in an effort to improve the current USGS Seismic Hazard Map. These classes were derived from mapped surficial materials, but in situ information is required to verify this approach. Therefore, active and passive surface wave techniques were performed at thirty field sites to determine V<sub>S30</sub><span>&nbsp;</span>and compare the results to the NESG map. Passive data were processed using the Horizontal-to-Vertical Spectral Ratio (HVSR); active data were processed with the multi-channel analysis of surface waves (MASW) technique. The field investigation demonstrated that the surficial material-based system was not sufficient for 66% of the field sites and in-situ velocity information from at least two methods should be considered for improved classification. The geophysical work discussed here represents the first field de-rived V<sub>S30</sub><span>&nbsp;</span>values for Hartford County, CT.</p>","conferenceTitle":"SEG International Exposition and 88th Annual Meeting","conferenceDate":"October 16, 2018","conferenceLocation":"Anaheim, CA","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/segam2018-2996137.1","usgsCitation":"Morton, S.L., Lane, J.W., Thomas, M., and Liu, L., 2018, Seismic hazard classifications and Vs30 in Connecticut using MASW and HVSR methods, SEG International Exposition and 88th Annual Meeting, Anaheim, CA, October 16, 2018, 5 p., https://doi.org/10.1190/segam2018-2996137.1.","productDescription":"5 p.","ipdsId":"IP-096371","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":362376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Morton, Sarah L C","contributorId":203747,"corporation":false,"usgs":false,"family":"Morton","given":"Sarah","email":"","middleInitial":"L C","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":732219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. Jr. 0000-0002-3558-243X jwlane@usgs.gov","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":189168,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":false,"id":732218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Margaret A.","contributorId":191171,"corporation":false,"usgs":false,"family":"Thomas","given":"Margaret A.","affiliations":[],"preferred":false,"id":732220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Lanbo","contributorId":199850,"corporation":false,"usgs":false,"family":"Liu","given":"Lanbo","email":"","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":732221,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220399,"text":"70220399 - 2018 - Tools and methods in participatory modeling: Selecting the right tool for the job","interactions":[],"lastModifiedDate":"2021-05-11T12:01:45.324007","indexId":"70220399","displayToPublicDate":"2018-08-27T06:57:19","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7599,"text":"Environmental Modeling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Tools and methods in participatory modeling: Selecting the right tool for the job","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Various tools and methods are used in participatory modelling, at different stages of the process and for different purposes. The diversity of tools and methods can create challenges for stakeholders and modelers when selecting the ones most appropriate for their projects. We offer a<span>&nbsp;</span>systematic overview, assessment, and categorization of methods to assist modelers and stakeholders with their choices and decisions. Most available literature provides little justification or information on the reasons for the use of particular methods or tools in a given study. In most of the cases, it seems that the prior experience and skills of the modelers had a dominant effect on the selection of the methods used. While we have not found any real evidence of this approach being wrong, we do think that putting more thought into the method selection process and choosing the most appropriate method for the project can produce better results. Based on expert opinion and a survey of modelers engaged in participatory processes, we offer practical guidelines to improve decisions about method selection at different stages of the participatory modeling process.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2018.08.028","usgsCitation":"Voinov, A., Jenni, K., Gray, S., Kolagani, N., Glynn, P.D., Bommel, P., Prell, C., Zellner, M., Paolisso, M., Jordan, R., Sterling, E.J., Schmitt Olabasi, L., Giabbanelli, P.J., Sun, Z., Le Page, C., Elsawah, S., BenDor, T.K., Hubacek, K., Laursen, B.K., Jetter, A.J., Basco Carrera, L., Singer, A., Young, L.G., Brunacini, J., and Smajgl, A., 2018, Tools and methods in participatory modeling: Selecting the right tool for the job: Environmental Modeling and Software, v. 109, p. 232-255, https://doi.org/10.1016/j.envsoft.2018.08.028.","productDescription":"24 p.","startPage":"232","endPage":"255","ipdsId":"IP-096643","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":468481,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2018.08.028","text":"Publisher Index Page"},{"id":385561,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Voinov, Alexey","contributorId":191330,"corporation":false,"usgs":false,"family":"Voinov","given":"Alexey","affiliations":[],"preferred":false,"id":815400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenni, Karen 0000-0001-9927-7509","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":219401,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":815401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Steven","contributorId":201912,"corporation":false,"usgs":false,"family":"Gray","given":"Steven","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":815402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolagani, Nagesh","contributorId":191331,"corporation":false,"usgs":false,"family":"Kolagani","given":"Nagesh","email":"","affiliations":[],"preferred":false,"id":815403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":815404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bommel, Pierre","contributorId":201916,"corporation":false,"usgs":false,"family":"Bommel","given":"Pierre","email":"","affiliations":[{"id":36294,"text":"CIRAD, Green Research Unit, Montpellier, France & University of Costa Rica, San José, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":815405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prell, Christina","contributorId":201921,"corporation":false,"usgs":false,"family":"Prell","given":"Christina","email":"","affiliations":[{"id":36299,"text":"University of Maryland, Department of Sociology, 2112 Parren Mitchell Art-Sociology Building, 3834 Campus Drive, College Park, MD 20742","active":true,"usgs":false}],"preferred":false,"id":815406,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zellner, Moira","contributorId":201924,"corporation":false,"usgs":false,"family":"Zellner","given":"Moira","affiliations":[{"id":36300,"text":"University of Illinois at Chicago, Department of Urban Planning & Policy and Institute for Environmental Science and Policy. 412 S. Peoria St., MC 348, Chicago, IL 60607","active":true,"usgs":false}],"preferred":false,"id":815407,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paolisso, Michael","contributorId":201913,"corporation":false,"usgs":false,"family":"Paolisso","given":"Michael","email":"","affiliations":[{"id":36291,"text":"University of Maryland, Department of Anthropology, College Park, Maryland 20742 USA","active":true,"usgs":false}],"preferred":false,"id":815408,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jordan, Rebecca","contributorId":201914,"corporation":false,"usgs":false,"family":"Jordan","given":"Rebecca","email":"","affiliations":[{"id":36292,"text":"Rutgers University, Human Ecology & Ecology, Evolution and Natural Resources School of Environmental and Biological Sciences, 59 Lipman Drive, New Brunswick, NJ 08901","active":true,"usgs":false}],"preferred":false,"id":815409,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sterling, Eleanor 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University","active":true,"usgs":false}],"preferred":false,"id":815412,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sun, Zhanli 0000-0001-6204-4533","orcid":"https://orcid.org/0000-0001-6204-4533","contributorId":257963,"corporation":false,"usgs":false,"family":"Sun","given":"Zhanli","email":"","affiliations":[{"id":52184,"text":"Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Theodor-Lieser-Str. 2, 06120 Halle (Saale), Germany","active":true,"usgs":false}],"preferred":false,"id":815413,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Le Page, Christophe 0000-0002-1920-0091","orcid":"https://orcid.org/0000-0002-1920-0091","contributorId":257964,"corporation":false,"usgs":false,"family":"Le Page","given":"Christophe","email":"","affiliations":[{"id":52185,"text":"CIRAD, UPR Green, F-34 098, Montpellier, France","active":true,"usgs":false}],"preferred":false,"id":815414,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Elsawah, Sondoss 0000-0002-3485-9548","orcid":"https://orcid.org/0000-0002-3485-9548","contributorId":257965,"corporation":false,"usgs":false,"family":"Elsawah","given":"Sondoss","email":"","affiliations":[{"id":52186,"text":"Capability Systems Centre, University of New South Wales Canberra, ACT, Australia","active":true,"usgs":false}],"preferred":false,"id":815415,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"BenDor, Todd K.","contributorId":207319,"corporation":false,"usgs":false,"family":"BenDor","given":"Todd","email":"","middleInitial":"K.","affiliations":[{"id":37522,"text":"Department of City and Regional Planning, University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":815416,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hubacek, Klaus","contributorId":201918,"corporation":false,"usgs":false,"family":"Hubacek","given":"Klaus","email":"","affiliations":[{"id":36296,"text":"University of Maryland, Department of Geographical Sciences, College Park, MD, 20742 USA","active":true,"usgs":false}],"preferred":false,"id":815417,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Laursen, Bethany K. 0000-0001-8935-9607","orcid":"https://orcid.org/0000-0001-8935-9607","contributorId":257966,"corporation":false,"usgs":false,"family":"Laursen","given":"Bethany","email":"","middleInitial":"K.","affiliations":[{"id":52188,"text":"Departments of Philosophy and Community Sustainability, Michigan State University, East Lansing, MI 48824 USA","active":true,"usgs":false}],"preferred":false,"id":815418,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Jetter, Antonie J.","contributorId":207320,"corporation":false,"usgs":false,"family":"Jetter","given":"Antonie","email":"","middleInitial":"J.","affiliations":[{"id":37523,"text":"Department of Engineering and Technology Management, Portland State University","active":true,"usgs":false}],"preferred":false,"id":815419,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Basco Carrera, Laura 0000-0003-1613-1251","orcid":"https://orcid.org/0000-0003-1613-1251","contributorId":257967,"corporation":false,"usgs":false,"family":"Basco Carrera","given":"Laura","email":"","affiliations":[{"id":52189,"text":"Delatares, IHE Deflt Institute for Water Education, and University of Twente, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":815420,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Singer, Alison","contributorId":201923,"corporation":false,"usgs":false,"family":"Singer","given":"Alison","email":"","affiliations":[{"id":36290,"text":"Michigan State University, Department of Community Sustainability, Natural Resource Building 480 Wilson Road Room 151, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":815422,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Young, Laura G.","contributorId":194873,"corporation":false,"usgs":false,"family":"Young","given":"Laura","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":815423,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Brunacini, Jessica","contributorId":257969,"corporation":false,"usgs":false,"family":"Brunacini","given":"Jessica","email":"","affiliations":[{"id":52190,"text":"Department of Community Sustainability, Michigan State University, East Lansing, MI 48824 USA","active":true,"usgs":false}],"preferred":false,"id":815424,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Smajgl, Alex","contributorId":257968,"corporation":false,"usgs":false,"family":"Smajgl","given":"Alex","email":"","affiliations":[],"preferred":false,"id":815430,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70270641,"text":"70270641 - 2018 - Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites","interactions":[],"lastModifiedDate":"2025-08-21T15:07:51.023919","indexId":"70270641","displayToPublicDate":"2018-08-27T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16883,"text":"European Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites","docAbstract":"<p><span>The Sentinel-2A and Landsat-8 satellites carry on-board moderate resolution multispectral imagers for the purpose of documenting the Earth’s changing surface. Though they are independently built and managed, users will certainly take advantage of the opportunity to have higher temporal coverage by combining the datasets. Thus it is important for the radiometric and geometric calibration of the MultiSpectral Instrument (MSI) and the Operational Land Imager (OLI) to be compatible. Cross-calibration of MSI to OLI has been accomplished using multiple techniques involving the use of pseudo-invariant calibration sites (PICS) using direct comparisons as well as through use of PICS models predicting top-of-atmosphere reflectance. A team from the University of Arizona is acquiring field data under both instruments for vicarious calibration of the sensors. This paper shows that the work done to date by the Landsat and Sentinel-2 calibration teams has resulted in stable radiometric calibration for each instrument and consistency to ~2.5% between the instruments for all the spectral bands that the instruments have in common.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/22797254.2018.1507613","usgsCitation":"Barsi, J., Alhammoud, B., Czapla-Myers, J., Gascon, F., Haque, O., Kaewmanee, M., Leigh, L., and Markham, B., 2018, Sentinel-2A MSI and Landsat-8 OLI radiometric cross comparison over desert sites: European Journal of Remote Sensing, v. 51, no. 1, p. 822-837, https://doi.org/10.1080/22797254.2018.1507613.","productDescription":"16 p.","startPage":"822","endPage":"837","ipdsId":"IP-088432","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494460,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/22797254.2018.1507613","text":"Publisher Index Page"},{"id":494383,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Barsi, Julia","contributorId":251781,"corporation":false,"usgs":false,"family":"Barsi","given":"Julia","email":"","affiliations":[{"id":50397,"text":"SSAI","active":true,"usgs":false}],"preferred":false,"id":946725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alhammoud, Bahjat","contributorId":360058,"corporation":false,"usgs":false,"family":"Alhammoud","given":"Bahjat","affiliations":[{"id":85960,"text":"ARGANS Limited","active":true,"usgs":false}],"preferred":false,"id":946726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czapla-Myers, Jeffrey","contributorId":360059,"corporation":false,"usgs":false,"family":"Czapla-Myers","given":"Jeffrey","affiliations":[{"id":85963,"text":"College of Optical Sciences, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":946727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gascon, Ferran","contributorId":360060,"corporation":false,"usgs":false,"family":"Gascon","given":"Ferran","affiliations":[{"id":85964,"text":"ESA/ESRIN","active":true,"usgs":false}],"preferred":false,"id":946728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haque, Obaidul 0000-0002-0914-1446 ohaque@usgs.gov","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":4691,"corporation":false,"usgs":true,"family":"Haque","given":"Obaidul","email":"ohaque@usgs.gov","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":true,"id":946729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaewmanee, Morakot","contributorId":360061,"corporation":false,"usgs":false,"family":"Kaewmanee","given":"Morakot","affiliations":[{"id":85965,"text":"IP Lab, SDSU","active":true,"usgs":false}],"preferred":false,"id":946730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leigh, Larry","contributorId":360062,"corporation":false,"usgs":false,"family":"Leigh","given":"Larry","affiliations":[{"id":85965,"text":"IP Lab, SDSU","active":true,"usgs":false}],"preferred":false,"id":946731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Markham, Brian","contributorId":360063,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","affiliations":[{"id":79115,"text":"NASA/GSFC","active":true,"usgs":false}],"preferred":false,"id":946732,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70227776,"text":"70227776 - 2018 - Improving our understanding of demographic monitoring: avian breeding productivity in a tropical dry forest","interactions":[],"lastModifiedDate":"2022-01-31T15:09:49.846525","indexId":"70227776","displayToPublicDate":"2018-08-26T09:09:12","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Improving our understanding of demographic monitoring: avian breeding productivity in a tropical dry forest","docAbstract":"<p><span>The ratio of juvenile to adult birds in mist-net samples is used to monitor avian productivity, but whether it is a “true” estimate of per capita productivity or an index proportional to productivity depends on whether capture probability is not age-dependent (true estimate) or age difference in capture probability is consistent among years (index). Better understanding of the processes affecting age- and year-specific capture probabilities is needed to advance the application of constant-effort mist-netting for monitoring and conservation, particularly in many tropical settings where capture rates are often low. We ranked members of the avian community by capture frequencies, determined if temporary emigration influenced the availability of birds to be captured, and assessed the distribution of birds relative to mist-nets and the parity between capture-based productivity estimates and number of fledglings in nest plots in a tropical dry forest in Puerto Rico in 2009 and 2010. Few captures characterized the community of 25 resident species and, when estimable, capture probabilities were low, particularly for juveniles (typically&nbsp;&lt;&nbsp;0.1). Negative trends in capture probability, temporary emigration, and the distribution of birds suggest that avoidance of mist-nets influenced capture rates in our study. Increasing mist-net coverage or moving mist-nets between sampling periods could increase capture rates. The number of fledglings observed in nest plots (25&nbsp;ha/plot) did not correlate well with capture-derived estimates (20&nbsp;ha/net stations), suggesting the presence of immigrants or failure to find all nests. Our results suggest that indices of breeding productivity from mist-netting data may track temporal changes in productivity, but such data likely do not reflect “true” productivity in most cases unless age-specific differences in capture probability are incorporated into estimates. Pilot studies should be conducted to evaluate capture rates and the spatial extent sampled by mist-nets to improve sampling design and inferences before informing decisions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12263","usgsCitation":"Kornegay, M.E., Wiewel, A.N., Collazo, J.A., Saracco, J.F., and Dinsmore, S.J., 2018, Improving our understanding of demographic monitoring: avian breeding productivity in a tropical dry forest: Journal of Field Ornithology, v. 89, no. 3, p. 258-275, https://doi.org/10.1111/jofo.12263.","productDescription":"18 p.","startPage":"258","endPage":"275","ipdsId":"IP-092529","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502454,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/290","text":"External Repository"},{"id":395137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Guánica Dry Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -66.98055267333984,\n              17.925822667541034\n            ],\n            [\n              -66.81266784667969,\n              17.925822667541034\n            ],\n            [\n              -66.81266784667969,\n              18\n            ],\n            [\n              -66.98055267333984,\n              18\n            ],\n            [\n              -66.98055267333984,\n              17.925822667541034\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-08-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kornegay, M. E.","contributorId":272591,"corporation":false,"usgs":false,"family":"Kornegay","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":832194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiewel, A. N. M.","contributorId":272592,"corporation":false,"usgs":false,"family":"Wiewel","given":"A.","email":"","middleInitial":"N. M.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832196,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saracco, J. F.","contributorId":272593,"corporation":false,"usgs":false,"family":"Saracco","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":832197,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dinsmore, S. J.","contributorId":272594,"corporation":false,"usgs":false,"family":"Dinsmore","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":832198,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191543,"text":"ds1056 - 2018 - Geochemical data for water, streambed sediment, and fish tissue from the Sierra Nevada Mercury Impairment Project, 2011–12","interactions":[],"lastModifiedDate":"2018-08-27T11:21:51","indexId":"ds1056","displayToPublicDate":"2018-08-24T16:02:51","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1056","title":"Geochemical data for water, streambed sediment, and fish tissue from the Sierra Nevada Mercury Impairment Project, 2011–12","docAbstract":"<p>This report presents geochemical data for surface water, streambed sediment, and fish tissue samples collected during low-flow conditions in 20 to 24 Sierra Nevada streams during 2011 and 2012. The dataset is part of a larger study designed to assess the factors that control mercury concentrations in fish tissue and to develop a model that predicts mercury concentration in the tissue of selected fish species in Sierra Nevada streams. The ranges of total mercury concentration observed in different matrices of water and sediment from 24 locations were as follows: below detection to 0.86 nanograms per liter in filtered water, below detection to 4.06 nanograms per liter in suspended particulates (greater than 0.3 micrometer in diameter), 1.1 to 381 nanograms per gram in bed sediment less than 2 millimeters, and 28.1 to 1,410 nanograms per gram in bed sediment less than 0.063 millimeters. The ratio of monomethyl mercury to total mercury ranged as follows: below detection to 19.2 percent in filtered water, below detection to 51.7 percent in suspended particles (greater than 0.3 micrometer), and below detection to 7.6 percent in streambed sediment less than 2 millimeters. Fish from 3 species collected at 20 locations had the following range in total mercury concentration (all concentrations wet weight): 10 to 292 nanograms per gram in rainbow trout (293 fish, 19 locations), 13 to 386 nanograms per gram in brown trout (33 fish, 10 locations), and 159 nanograms per gram in hardhead (1 fish). Concentrations of selenium in fish (wet weight) ranged from 60 to 420 nanograms per gram in rainbow trout (66 fish, 19 locations) and from 180 to 240 nanograms per gram in brown trout (6 fish, 2 locations).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1056","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Stumpner, E.B., Alpers, C.N., Marvin-DiPasquale, M., Agee, J.L., Kakouros, E., Arias, M.R., Kieu, L.H., Roth, D.A., Slotton, D.G., and Fleck, J.A., 2018, Geochemical data for water, streambed sediment, and fish tissue from the Sierra Nevada Mercury Impairment Project, 2011–12: U.S. Geological Survey Data Series 1056, 133 p., https://doi.org/10.3133/ds1056.","productDescription":"Report: xiv, 133 p.","onlineOnly":"Y","ipdsId":"IP-053615","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":356551,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1056/ds_1056.pdf","text":"Report","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Data Series 1056"},{"id":356550,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1056/coverthb.jpg"}],"country":"United States","otherGeospatial":"Sierra Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              37.5\n            ],\n            [\n              -119.5,\n              37.5\n            ],\n            [\n              -119.5,\n              40\n            ],\n            [\n              -122,\n              40\n            ],\n            [\n              -122,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:dc_ca@usgs.gov\" href=\"mailto:dc_ca@usgs.gov\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a data-mce-href=\"https://ca.water.usgs.gov/\" href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\">California Water Science Center</a><br><a data-mce-href=\"https://usgs.gov/\" href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>References Cited</li><li>Appendix 1. Analytical Methods Used for Water, Sediment, and Fish Tissue</li><li>Appendix 2. Quality-Assurance Data for Surface Water</li><li>Appendix 3. Quality-Assurance Data for Sediment</li><li>Appendix 4. Quality-Assurance Data for Fish Tissue</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2018-08-24","noUsgsAuthors":false,"publicationDate":"2018-08-24","publicationStatus":"PW","scienceBaseUri":"5b98a274e4b0702d0e842ef6","contributors":{"authors":[{"text":"Stumpner, Elizabeth B. 0000-0003-2356-2244 estumpner@usgs.gov","orcid":"https://orcid.org/0000-0003-2356-2244","contributorId":4032,"corporation":false,"usgs":true,"family":"Stumpner","given":"Elizabeth","email":"estumpner@usgs.gov","middleInitial":"B.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":712712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":712713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":712714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agee, Jennifer L. 0000-0002-5964-5079 jlagee@usgs.gov","orcid":"https://orcid.org/0000-0002-5964-5079","contributorId":2586,"corporation":false,"usgs":true,"family":"Agee","given":"Jennifer","email":"jlagee@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":712717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kakouros, Evangelos 0000-0002-4778-4039 kakouros@usgs.gov","orcid":"https://orcid.org/0000-0002-4778-4039","contributorId":2587,"corporation":false,"usgs":true,"family":"Kakouros","given":"Evangelos","email":"kakouros@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":712718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arias, Michelle R. 0000-0002-3467-6186 mrbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-3467-6186","contributorId":199123,"corporation":false,"usgs":true,"family":"Arias","given":"Michelle","email":"mrbeyer@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":712719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kieu, Le H. lkieu@usgs.gov","contributorId":206905,"corporation":false,"usgs":false,"family":"Kieu","given":"Le H.","email":"lkieu@usgs.gov","affiliations":[],"preferred":false,"id":712721,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roth, David A. 0000-0002-7515-3533 daroth@usgs.gov","orcid":"https://orcid.org/0000-0002-7515-3533","contributorId":2340,"corporation":false,"usgs":true,"family":"Roth","given":"David","email":"daroth@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":712715,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slotton, Darrell G.","contributorId":197160,"corporation":false,"usgs":false,"family":"Slotton","given":"Darrell","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":712716,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fleck, Jacob A. 0000-0002-3217-3972 jafleck@usgs.gov","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":141024,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob A.","email":"jafleck@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":712720,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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