{"pageNumber":"103","pageRowStart":"2550","pageSize":"25","recordCount":10450,"records":[{"id":70193699,"text":"70193699 - 2017 - Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics","interactions":[],"lastModifiedDate":"2018-09-26T14:59:45","indexId":"70193699","displayToPublicDate":"2017-11-05T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics","docAbstract":"<div id=\"en_main_abstract\" class=\"article-section__content mainAbstract\" lang=\"en\"><p>Current management of large carnivores is informed using a variety of parameters, methods, and metrics; however, these data are typically considered independently. Sharing information among data types based on the underlying ecological, and recognizing observation biases, can improve estimation of individual and global parameters. We present a general integrated population model (IPM), specifically designed for brown bears (<i>Ursus arctos</i>), using three common data types for bear (<i>U</i>. spp.) populations: repeated counts, capture–mark–recapture, and litter size. We considered factors affecting ecological and observation processes for these data. We assessed the practicality of this approach on a simulated population and compared estimates from our model to values used for simulation and results from count data only. We then present a practical application of this general approach adapted to the constraints of a case study using historical data available for brown bears on Kodiak Island, Alaska, USA. The IPM provided more accurate and precise estimates than models accounting for repeated count data only, with credible intervals including the true population 94% and 5% of the time, respectively. For the Kodiak population, we estimated annual average litter size (within one year after birth) to vary between 0.45 [95% credible interval: 0.43; 0.55] and 1.59 [1.55; 1.82]. We detected a positive relationship between salmon availability and adult survival, with survival probabilities greater for females than males. Survival probabilities increased from cubs to yearlings to dependent young ≥2&nbsp;years old and decreased with litter size. Linking multiple information sources based on ecological and observation mechanisms can provide more accurate and precise estimates, to better inform management. IPMs can also reduce data collection efforts by sharing information among agencies and management units. Our approach responds to an increasing need in bear populations’ management and can be readily adapted to other large carnivores.</p></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3469","usgsCitation":"Bled, F., Belant, J.L., Van Daele, L.J., Svoboda, N., Gustine, D.D., Hilderbrand, G., and Barnes, V.G., 2017, Using multiple data types and integrated population models to improve our knowledge of apex predator population dynamics: Ecology and Evolution, v. 7, no. 22, p. 9531-9543, https://doi.org/10.1002/ece3.3469.","productDescription":"13 p.","startPage":"9531","endPage":"9543","ipdsId":"IP-081752","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":461351,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3469","text":"Publisher Index Page"},{"id":348202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"22","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"5a00314ce4b0531197b5a738","contributors":{"authors":[{"text":"Bled, Florent","contributorId":199765,"corporation":false,"usgs":false,"family":"Bled","given":"Florent","email":"","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":719972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":719973,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Daele, Lawrence J.","contributorId":199766,"corporation":false,"usgs":false,"family":"Van Daele","given":"Lawrence","email":"","middleInitial":"J.","affiliations":[{"id":35600,"text":"Kodiak Wildlife Services, Kodiak, AK","active":true,"usgs":false}],"preferred":false,"id":719974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Svoboda, Nathan","contributorId":199767,"corporation":false,"usgs":false,"family":"Svoboda","given":"Nathan","email":"","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":719975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gustine, David D. dgustine@usgs.gov","contributorId":3776,"corporation":false,"usgs":true,"family":"Gustine","given":"David","email":"dgustine@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":719970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":719971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnes, Victor G. Jr.","contributorId":95113,"corporation":false,"usgs":true,"family":"Barnes","given":"Victor","suffix":"Jr.","email":"","middleInitial":"G.","affiliations":[{"id":35655,"text":"Kodiak Brown Bear Trust, Westcliffe, CO","active":true,"usgs":false}],"preferred":false,"id":719976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193700,"text":"70193700 - 2017 - Taphonomic problems in reconstructing sea-level history from the late Quaternary marine terraces of Barbados","interactions":[],"lastModifiedDate":"2017-11-03T10:34:24","indexId":"70193700","displayToPublicDate":"2017-11-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Taphonomic problems in reconstructing sea-level history from the late Quaternary marine terraces of Barbados","docAbstract":"<p>Although uranium series (U-series) ages of growth-position fossil corals are important to Quaternary sea-level history, coral clast reworking from storms can yield ages on a terrace dating to more than one high-sea stand, confounding interpretations of sea-level history. On northern Barbados, U-series ages corals from a thick storm deposit are not always younger with successively higher stratigraphic positions, but all date to the last interglacial period (~127 ka to ~112 ka), Marine Isotope Substage (MIS) 5.5. The storm deposit ages are consistent with the ages of growth-position corals found at the base of the section and at landward localities on this terrace. Thus, in this case, analysis of only a few corals would not have led to an error in interpreting sea-level history. In contrast, a notch cut into older Pleistocene limestone below the MIS 5.5 terrace contains corals that date to both MIS 5.5 (~125 ka) and MIS 5.3 (~108 ka). We infer that the notch formed during MIS 5.3 and the MIS 5.5 corals are reworked. Similar multiple ages of corals on terraces have been reported elsewhere on Barbados. Thus, care must be taken in interpreting U-series ages of corals that are reported without consideration of taphonomy.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2017.70","usgsCitation":"Muhs, D., and Simmons, K.R., 2017, Taphonomic problems in reconstructing sea-level history from the late Quaternary marine terraces of Barbados: Quaternary Research, v. 88, no. 3, p. 409-429, https://doi.org/10.1017/qua.2017.70.","productDescription":"21 p.","startPage":"409","endPage":"429","ipdsId":"IP-077778","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":348167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Barbados","volume":"88","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-11","publicationStatus":"PW","scienceBaseUri":"59fd8028e4b0531197b5013d","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":719984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X ksimmons@usgs.gov","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":199770,"corporation":false,"usgs":true,"family":"Simmons","given":"Kathleen","email":"ksimmons@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":719986,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193710,"text":"70193710 - 2017 - Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana","interactions":[],"lastModifiedDate":"2017-11-03T10:56:17","indexId":"70193710","displayToPublicDate":"2017-11-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1198,"text":"Catena","active":true,"publicationSubtype":{"id":10}},"title":"Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana","docAbstract":"<p>Floodplain lakes are important wetlands on many lowland floodplains of the world but depressional floodplain lakes are rare in the Mississippi River Alluvial Valley. One of the largest is Catahoula Lake, which has existed with seasonally fluctuating water levels for several thousand years but is now in an increasingly hydrologically altered floodplain. Woody vegetation has been encroaching into the lake bed and the rate of this expansion has increased since major human hydrologic modifications, such as channelization, levee construction, and dredging for improvement of navigation, but it remains unknown what role those modifications may have played in altering lake sedimentation processes. Profiles of thirteen <sup>137</sup>Cs sediment cores indicate sedimentation has been about 0.26&nbsp;cm&nbsp;y<sup>−&nbsp;1</sup> over the past 60&nbsp;years and has been near this rate since land use changes began about 200&nbsp;years ago (<sup>210</sup>Pb, and <sup>14</sup>C in Tedford, 2009). Carbon sequestration was low (10.4&nbsp;g&nbsp;m<sup>−&nbsp;2</sup>&nbsp;y<sup>−&nbsp;1</sup>), likely because annual drying promotes mineralization and export. Elemental composition (high Zr and Ti and low Ca and K) and low pH of recent (&lt;~60&nbsp;y) or surface sediments suggest Gulf Coastal Plain origin, but below the recent sediment deposits, 51% of sediment profiles showed influence of Mississippi River alluvium, rich in base cations such as K<sup>+</sup>, Ca<sup>2&nbsp;+</sup>, and Mg<sup>2&nbsp;+</sup>. The recent shift to dominance of Coastal Plain sediments on the lake-bed surface suggests hydrologic modification has disconnected the lake from sediment-bearing flows from the Mississippi River. Compared to its condition prior to hydrologic alterations that intensified in the 1930s, Catahoula Lake is about 15&nbsp;cm shallower and surficial sediments are more acidic. Although these results are not sufficient to attribute ecological changes directly to sedimentological changes, it is likely the altered sedimentary and hydrologic environment is contributing to the increased dominance of woody vegetation.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.catena.2017.04.020","usgsCitation":"Latuso, K.D., Keim, R.F., King, S.L., Weindorf, D.C., and DeLaune, R.D., 2017, Sediment deposition and sources into a Mississippi River floodplain lake; Catahoula Lake, Louisiana: Catena, v. 156, p. 290-297, https://doi.org/10.1016/j.catena.2017.04.020.","productDescription":"8 p.","startPage":"290","endPage":"297","ipdsId":"IP-061448","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Catahoula Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.1697998046875,\n              31.42749129448044\n            ],\n            [\n              -92.04277038574219,\n              31.502458420817206\n            ],\n            [\n              -91.99607849121094,\n              31.552793227677334\n            ],\n            [\n              -91.99745178222656,\n              31.613626970322684\n            ],\n            [\n              -92.06748962402344,\n              31.610703179979982\n            ],\n            [\n              -92.12448120117188,\n              31.577950455417472\n            ],\n            [\n              -92.17666625976562,\n              31.52411741833466\n            ],\n            [\n              -92.22198486328125,\n              31.48313670206181\n            ],\n            [\n              -92.23915100097656,\n              31.454439514853256\n            ],\n            [\n              -92.22335815429688,\n              31.433350262414404\n            ],\n            [\n              -92.19863891601562,\n              31.42749129448044\n            ],\n            [\n              -92.1697998046875,\n              31.42749129448044\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"156","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fd8027e4b0531197b5013b","contributors":{"authors":[{"text":"Latuso, Karen D.","contributorId":113984,"corporation":false,"usgs":false,"family":"Latuso","given":"Karen","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, Richard F.","contributorId":117125,"corporation":false,"usgs":false,"family":"Keim","given":"Richard","email":"","middleInitial":"F.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weindorf, David C.","contributorId":140924,"corporation":false,"usgs":false,"family":"Weindorf","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":27688,"text":"Texas Tech University, Lubbock, TX 79409","active":true,"usgs":false}],"preferred":false,"id":720025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLaune, Ronald D.","contributorId":61581,"corporation":false,"usgs":false,"family":"DeLaune","given":"Ronald","email":"","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":720026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70210912,"text":"70210912 - 2017 - Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler","interactions":[],"lastModifiedDate":"2022-01-20T18:28:25.074392","indexId":"70210912","displayToPublicDate":"2017-11-02T09:12:28","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler","docAbstract":"<p>The Regional Ocean Modeling System (ROMS) has been coupled with the Water Quality Analysis Simulation Program (WASP) to be used in a comprehensive analysis of water quality in Barnegat Bay, New Jersey. The coupler can spatially aggregate hydrodynamic information in ROMS cells into larger WASP segments. It can also be used to resample ROMS output at a finer temporal scale to meet WASP time-stepping requirements. The coupler aggregates flow components, temperature, and salinity in ROMS output for input to WASP via a hydrodynamic linkage file. The coupler was tested initially with idealized cases designed to verify the water mass balance and conservation of constituent mass using one-to-one and one-to-many connectivity options between segments. A realistic example from the Toms River embayment, a subdomain of Barnegat Bay, was used to demonstrate the functionality of the coupling. A WASP eutrophication model accounting for dissolved oxygen (DO), nitrogen, and constant phytoplankton concentrations was applied to explore the distribution and trends in DO and nitrogen in the embayment for the period of July–August 2012. Results of DO modeling indicate satisfactory agreement with measurements collected at in-bay stations and also indicate that this coupled approach, despite substantial differences in spatiotemporal discretization between the models, provides adequate predictive capabilities.<br></p>","language":"English","publisher":"BioOne","doi":"10.2112/SI78-004.1","usgsCitation":"Define, Z., Spitz, F.J., DePaul, V.T., and Wool, T.A., 2017, Towards a comprehensive water quality modeling of Barnegat Bay: Development of ROMS to WASP Coupler: Journal of Coastal Research, v. 78, no. Spec issue 1, p. 34-45, https://doi.org/10.2112/SI78-004.1.","productDescription":"12 p.","startPage":"34","endPage":"45","ipdsId":"IP-079333","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469353,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/9456","text":"External Repository"},{"id":376091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.17556762695312,\n              39.65698468403725\n            ],\n            [\n              -74.15016174316406,\n              39.6834113242346\n            ],\n            [\n              -74.10758972167969,\n              39.7642140375156\n            ],\n            [\n              -74.09385681152344,\n              39.812755695478124\n            ],\n            [\n              -74.07806396484375,\n              39.93975130761637\n            ],\n            [\n              -74.12406921386719,\n              39.948174225938324\n            ],\n            [\n              -74.1522216796875,\n              39.93711893299021\n            ],\n            [\n              -74.10140991210938,\n              39.92606185382841\n            ],\n            [\n              -74.13848876953125,\n              39.90762941952987\n            ],\n            [\n              -74.15496826171874,\n              39.87338459498892\n            ],\n            [\n              -74.20372009277344,\n              39.796930657340724\n            ],\n            [\n              -74.21951293945312,\n              39.743098286948275\n            ],\n            [\n              -74.19273376464844,\n              39.70031906859748\n            ],\n            [\n              -74.21401977539062,\n              39.680240661158805\n            ],\n            [\n              -74.2181396484375,\n              39.66808510414671\n            ],\n            [\n              -74.17762756347656,\n              39.65116946667103\n            ],\n            [\n              -74.17556762695312,\n              39.65698468403725\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"78","issue":"Spec issue 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Define, Zafer","contributorId":228801,"corporation":false,"usgs":false,"family":"Define","given":"Zafer","email":"","affiliations":[],"preferred":false,"id":792106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spitz, Frederick J. 0000-0002-1391-2127 fspitz@usgs.gov","orcid":"https://orcid.org/0000-0002-1391-2127","contributorId":2777,"corporation":false,"usgs":true,"family":"Spitz","given":"Frederick","email":"fspitz@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":792104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":792105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wool, Tim A.","contributorId":228800,"corporation":false,"usgs":false,"family":"Wool","given":"Tim","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":792107,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194283,"text":"70194283 - 2017 - Restoration of contaminated ecosystems: adaptive management in a changing climate","interactions":[],"lastModifiedDate":"2017-11-22T11:54:31","indexId":"70194283","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","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":"Restoration of contaminated ecosystems: adaptive management in a changing climate","docAbstract":"<p><span>Three case studies illustrate how adaptive management (AM) has been used in ecological restorations that involve contaminants. Contaminants addressed include mercury, selenium, and contaminants and physical disturbances delivered to streams by urban stormwater runoff. All three cases emphasize the importance of broad stakeholder input early and consistently throughout decision analysis for AM. Risk of contaminant exposure provided input to the decision analyses (e.g. selenium exposure to endangered razorback suckers, Stewart Lake; multiple contaminants in urban stormwater runoff, Melbourne) and was balanced with the protection of resources critical for a desired future state (e.g. preservation old growth trees, South River). Monitoring also played a critical role in the ability to conduct the decision analyses necessary for AM plans. For example, newer technologies in the Melbourne case provided a testable situation where contaminant concentrations and flow disturbance were reduced to support a return to good ecological condition. In at least one case (Stewart Lake), long-term monitoring data are being used to document the potential effects of climate change on a restoration trajectory. Decision analysis formalized the process by which stakeholders arrived at the priorities for the sites, which together constituted the desired future condition towards which each restoration is aimed. Alternative models were developed that described in mechanistic terms how restoration can influence the system towards the desired future condition. Including known and anticipated effects of future climate scenarios in these models will make them robust to the long-term exposure and effects of contaminants in restored ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12583","usgsCitation":"Farag, A., Larson, D.L., Stauber, J., Stahl, R., Isanhart, J., McAbee, K., and Walsh, C.J., 2017, Restoration of contaminated ecosystems: adaptive management in a changing climate: Restoration Ecology, v. 25, no. 6, p. 884-893, https://doi.org/10.1111/rec.12583.","productDescription":"10 p.","startPage":"884","endPage":"893","ipdsId":"IP-080300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":487214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12583","text":"Publisher Index Page"},{"id":349273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fb21e4b06e28e9c22d08","contributors":{"authors":[{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":723065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":723066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stauber, Jenny","contributorId":200691,"corporation":false,"usgs":false,"family":"Stauber","given":"Jenny","email":"","affiliations":[],"preferred":false,"id":723067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Ralph","contributorId":200692,"corporation":false,"usgs":false,"family":"Stahl","given":"Ralph","affiliations":[],"preferred":false,"id":723068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Isanhart, John 0000-0003-0208-1839","orcid":"https://orcid.org/0000-0003-0208-1839","contributorId":200693,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","email":"","affiliations":[],"preferred":false,"id":723069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McAbee, Kevin T.","contributorId":141327,"corporation":false,"usgs":false,"family":"McAbee","given":"Kevin T.","affiliations":[],"preferred":false,"id":723292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walsh, Christopher J.","contributorId":171683,"corporation":false,"usgs":false,"family":"Walsh","given":"Christopher","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192609,"text":"70192609 - 2017 - A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos","interactions":[],"lastModifiedDate":"2017-11-07T14:03:00","indexId":"70192609","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos","docAbstract":"<p><span>Conservation of sport fisheries and populations of several native fishes in the western United States is dependent on sustained success of removal programs targeting invasive Lake Trout&nbsp;</span><i>Salvelinus namaycush</i><span>. Gill-netting of spawning adults is one strategy used to decrease spawning success; however, additional complementary methods are needed to disrupt Lake Trout reproduction where bycatch in gill nets is unacceptable. We developed and tested two portable electrode arrays designed to increase Lake Trout embryo mortality in known spawning areas. Both arrays were powered by existing commercial electrofishing equipment. However, one array was moved across the substrate to simulate being towed behind a boat (i.e., towed array), while the other array was lowered from a boat and energized when sedentary (i.e., sedentary array). The arrays were tested on embryos placed within substrates of known spawning areas. Both arrays increased mortality of embryos (&gt;90%) at the surface of substrates, but only the sedentary array was able to increase mortality to &gt;90% at deeper burial depths. In contrast, embryos at increasingly deeper depths exhibited progressively lower mortality when exposed to the towed array. Mortality of embryos placed under 20 cm of substrate and exposed to the towed array was not significantly different from that of unexposed embryos in a control group. We suggest that the sedentary array could be used as a viable approach for increasing mortality of Lake Trout embryos buried to 20 cm and that it could be modified to be effective at deeper depths.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1269031","usgsCitation":"Brown, P.J., Guy, C.S., and Meeuwig, M.H., 2017, A comparison of two mobile electrode arrays for increasing mortality of Lake Trout embryos: North American Journal of Fisheries Management, v. 37, no. 2, p. 363-369, https://doi.org/10.1080/02755947.2016.1269031.","productDescription":"7 p.","startPage":"363","endPage":"369","ipdsId":"IP-071624","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"5a07e85ae4b09af898c8cb56","contributors":{"authors":[{"text":"Brown, Peter J.","contributorId":198607,"corporation":false,"usgs":false,"family":"Brown","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":716541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meeuwig, Michael H.","contributorId":198608,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716543,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193410,"text":"70193410 - 2017 - Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","interactions":[],"lastModifiedDate":"2017-11-13T11:02:58","indexId":"70193410","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change","docAbstract":"<p><span>With growing demand and highly variable inter-annual water supplies, California’s water use future is fraught with uncertainty. Climate change projections, anticipated population growth, and continued agricultural intensification, will likely stress existing water supplies in coming decades. Using a state-and-transition simulation modeling approach, we examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand out to 2062. We examined a range of potential water demand futures sampled from a 20-year record of historical (1992–2012) data to develop a suite of potential future land change scenarios, including low/high change scenarios for urbanization and agriculture as well as “lowest of the low” and “highest of the high” anthropogenic use. Future water demand decreased 8.3 billion cubic meters (Bm</span><sup>3</sup><span>) in the lowest of the low scenario and decreased 0.8 Bm</span><sup>3</sup><span><span>&nbsp;</span>in the low agriculture scenario. The greatest increased water demand was projected for the highest of the high land use scenario (+9.4 Bm</span><sup>3</sup><span>), high agricultural expansion (+4.6 Bm</span><sup>3</sup><span>), and high urbanization (+2.1 Bm</span><sup>3</sup><span>) scenarios. Overall, these scenarios show agricultural land use decisions will likely drive future demand more than increasing municipal and industrial uses, yet improved efficiencies across all sectors could lead to potential water use savings. Results provide water managers with information on diverging land use and water use futures, based on historical, observed land change trends and water use histories.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0187181","usgsCitation":"Wilson, T., Sleeter, B.M., and Cameron, D.R., 2017, Mediterranean California’s water use future under multiple scenarios of developed and agricultural land use change: PLoS ONE, v. 12, no. 10, p. 1-21, https://doi.org/10.1371/journal.pone.0187181.","productDescription":"e0187181; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-085977","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0187181","text":"Publisher Index 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Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":718939,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, D. Richard","contributorId":168996,"corporation":false,"usgs":false,"family":"Cameron","given":"D.","email":"","middleInitial":"Richard","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":718940,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193277,"text":"70193277 - 2017 - Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems","interactions":[],"lastModifiedDate":"2017-11-06T13:06:31","indexId":"70193277","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems","docAbstract":"<ol id=\"jec12863-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Arid ecosystems are often vulnerable to transformation to invasive-dominated states following fire, but data on persistence of these states are sparse. The grass/fire cycle is a feedback process between invasive annual grasses and fire frequency that often leads to the formation of alternative vegetation states dominated by the invasive grasses. However, other components of fire regimes, such as burn severity, also have the potential to produce long-term vegetation transformations. Our goal was to evaluate the influence of both fire frequency and burn severity on the transformation of woody-dominated communities to communities dominated by invasive grasses in major elevation zones of the Mojave Desert of western North America.</li><li>We used a chronosequence design to collect data on herbaceous and woody cover at 229 unburned reference plots and 578 plots that burned between 1972 and 2010. We stratified the plots by elevation zone (low, mid, high), fire frequency (1–3 times) and years post-fire (YPF; 1–5, 6–10, 11–20 and 21–40 YPF). Burn severity for each plot was estimated by the difference normalized burn ratio.</li><li>We identified two broad post-fire successional pathways. One was an outcome of fire frequency, resulting in a strong potential transformation via the grass/fire cycle. The second pathway was driven by burn severity, the critical aspect being that long-term transformation of a community could occur from just one fire in areas that burned at high or sometimes moderate severity. Dominance by invasive grasses was most likely to occur in low-and high-elevation communities; cover of native herbaceous species was often greater than that of invasive grasses in the mid-elevation zone.</li><li><i>Synthesis</i>. Invasive grasses can dominate a site that burned only one time in many decades at high severity, or a site that burned at low severity but multiple times in the same time period. However, high burn severity may predispose areas to more frequent fire because they have relatively high cover of invasive annual grass, suggesting burn severity and fire frequency have both independent and synergistic effects. Resilience in vegetation structure following fire in many arid communities may be limited to a narrow window of low burn severity in areas that have not burned in many decades.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.12863","usgsCitation":"Klinger, R.C., and Brooks, M.L., 2017, Alternative pathways to landscape transformation: Invasive grasses, burn severity and fire frequency in arid ecosystems: Journal of Ecology, v. 105, p. 1521-1533, https://doi.org/10.1111/1365-2745.12863.","productDescription":"13 p.","startPage":"1521","endPage":"1533","ipdsId":"IP-084387","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469364,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.12863","text":"Publisher Index Page"},{"id":438160,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F79022PZ","text":"USGS data release","linkHelpText":"Cover of Woody and Herbaceous Functional Groups in Burned and Unburned Plots, Mojave Desert, 2009-2013"},{"id":348273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert","volume":"105","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-20","publicationStatus":"PW","scienceBaseUri":"5a07e84be4b09af898c8cb40","contributors":{"authors":[{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":718506,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":718505,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193353,"text":"70193353 - 2017 - Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","interactions":[],"lastModifiedDate":"2017-11-01T11:26:25","indexId":"70193353","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia","docAbstract":"<p id=\"p-1\">The Early to Middle Triassic Erdenet porphyry Cu-Mo deposit, in northern Mongolia, developed in a continent-continent arc collision zone, within the Central Asian orogenic belt. The porphyry system is related to multiple intrusions of crystal-crowded biotite granodiorite porphyry, which formed a composite stock about 900 m in diameter, with multiple porphyritic microgranodiorite dikes. Wall rocks are Late Permian to Early Triassic, medium-grained granodiorite, with similar whole-rock geochemistry, mineralogy, and composition to the granodiorite porphyry. Whole-rock analysis of the granodiorite porphyry and wall rocks shows that these rocks cannot be discriminated, but both have depleted middle heavy rare earth elements and Y, typical of fertile porphyry magmatic suites.</p><p id=\"p-2\">At the current pit level (1,250 m elev), early porphyry-style quartz veins (A and B type) are locally infilled by pyrite-chalcopyrite, with subordinate bornite, but most of the chalcopyrite occurs in D veins that constitute more than 50% of the Cu grade (~0.5 wt % Cu). The 0.3 wt % Cu shell resembles a molar tooth, enveloping the granodiorite porphyry, with deeper roots extending down the wal-rock contacts. Molybdenite occurs in monomineralic veins, and in finely laminated to massive quartz-molybdenite veins.</p><p id=\"p-3\">The most important alteration is quartz-muscovite, which occurs as relatively coarse (100–500<span>&nbsp;</span><i>μ</i>m) alteration selvages (1–5 cm) that envelop D veins. The D veins cut illite ± kaolinite-smectite (or intermediate argillic) alteration. Intermediate argillic alteration, together with abundant pink anhydrite (commonly hydrated to gypsum), extends from at least 1,300- to 900-m elevation in the deepest drill holes, and has overprinted early potassic alteration, or relatively unaltered red granodiorite. Meter-wide zones of kaolinite cut the anhydrite-gypsum at all levels. There is an abrupt transition outward from the intermediate argillic alteration to chlorite-epidote (propylitic) alteration, at 50 to 200 m from the granodiorite porphyry contact, although D veins (and chalcopyrite) extend outward to the propylitic zone.</p><p id=\"p-4\">The Erdenet porphyry system, was overprinted by advanced argillic alteration, which outcrops 2 km northwest of the pit, and forms a lithocap that extends over 10 × 2.5 km. It is characterized by residual quartz, andalusite, Na-Ca and K-alunite, diaspore, pyrophyllite, zunyite, topaz, dickite, and kaolinite. The upper part of the porphyry Cu-Mo deposit (removed by mining), comprised a bornite-chalcocite enriched zone up to 300 m thick with an average grade of 0.7 wt % Cu and up to 5 wt % Cu locally. Based on hypogene bornite-chalcocite mineral textures and high-sulfidation state mineralogy, the enriched zone is inferred to be of hypogene origin, but modified by supergene processes. Consequently, it may be related to formation of the lithocap.</p><p id=\"p-5\">Previous Re-Os dates of 240.4 and 240.7 ± 0.8 Ma for molybdenite in quartz veins are comparable to new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dates of 239.7 ± 1.6 and 240 ± 2 Ma for muscovite that envelops D veins. One<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar date on K-alunite from the lithocap of 223.5 ± 1.9 Ma suggests that it may be about 16 m.y. younger than Erdenet, but this result needs to be verified by further dating.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.2017.4500","usgsCitation":"Kavalieris, I., Khashgerel, B., Morgan, L.E., Undrakhtamir, A., and Borohul, A., 2017, Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia: Economic Geology, v. 112, no. 5, p. 1033-1053, https://doi.org/10.5382/econgeo.2017.4500.","productDescription":"21 p.","startPage":"1033","endPage":"1053","ipdsId":"IP-080784","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":438161,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F74J0C8H","text":"USGS data release","linkHelpText":"40Ar/39Ar data for: Characteristics and 40Ar/39Ar geochronology of the Erdenet Cu-Mo deposit, Mongolia"},{"id":347960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-01","publicationStatus":"PW","scienceBaseUri":"59fadd1ce4b0531197b13c59","contributors":{"authors":[{"text":"Kavalieris, Imants","contributorId":199360,"corporation":false,"usgs":false,"family":"Kavalieris","given":"Imants","email":"","affiliations":[],"preferred":false,"id":718798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Khashgerel, Bat-Erdene","contributorId":199361,"corporation":false,"usgs":false,"family":"Khashgerel","given":"Bat-Erdene","email":"","affiliations":[],"preferred":false,"id":718799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Undrakhtamir, Alexander","contributorId":199362,"corporation":false,"usgs":false,"family":"Undrakhtamir","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":718800,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borohul, Adiya","contributorId":199363,"corporation":false,"usgs":false,"family":"Borohul","given":"Adiya","email":"","affiliations":[],"preferred":false,"id":718801,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195202,"text":"70195202 - 2017 - Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe","interactions":[],"lastModifiedDate":"2018-02-07T12:41:48","indexId":"70195202","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe","docAbstract":"<p><span>Terrestrial laser scanning (TLS) provides fast collection of high-definition structural information, making it a valuable field instrument to many monitoring applications. A weakness of TLS collections, especially in vegetation, is the occurrence of unsampled regions in point clouds where the sensor’s line-of-sight is blocked by intervening material. This problem, referred to as occlusion, may be mitigated by scanning target areas from several positions, increasing the chance that any given area will fall within the scanner’s line-of-sight from at least one position. Because TLS collections are often employed in remote regions where the scope of sampling is limited by logistical factors such as time and battery power, it is important to design field protocols which maximize efficiency and support increased quantity and quality of the data collected. This study informs researchers and practitioners seeking to optimize TLS sampling methods for vegetation monitoring in dryland ecosystems through three analyses. First, we quantify the 2D extent of occluded regions based on the range from single scan positions. Second, we measure the efficacy of additional scan positions on the reduction of 2D occluded regions (area) using progressive configurations of scan positions in 1&nbsp;ha plots. Third, we test the reproducibility of 3D sampling yielded by a 5-scan/ha sampling methodology using redundant sets of scans. Analyses were performed using measurements at analysis scales of 5 to 50&nbsp;cm across the 1-ha plots, and we considered plots in grass and shrub-dominated communities separately. In grass-dominated plots, a center-scan configuration and 5&nbsp;cm pixel size sampled at least 90% of the area up to 18&nbsp;m away from the scanner. In shrub-dominated plots, sampling at least 90% of the area was only achieved within a distance of 12&nbsp;m. We found that 3 and 5&nbsp;scans/ha are needed to sample at least ~&nbsp;70% of the total area (1&nbsp;ha) in the grass and shrub-dominated plots, respectively, using 5&nbsp;cm pixels to measure sampling presence-absence. The reproducibility of 3D sampling provided by a 5 position scan layout across 1-ha plots was 50% (shrub) and 70% (grass) using a 5-cm voxel size, whereas at the 50-cm voxel scale, reproducibility of sampling was nearly 100% for all plot types. Future studies applying TLS in similar dryland environments for vegetation monitoring may use our results as a guide to efficiently achieve sampling coverage and reproducibility in datasets.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-6300-0","usgsCitation":"Anderson, K.E., Glenn, N., Spaete, L., Shinneman, D.J., Pilliod, D.S., Arkle, R., McIlroy, S., and Derryberry, D.R., 2017, Methodological considerations of terrestrial laser scanning for vegetation monitoring in the sagebrush steppe: Environmental Monitoring and Assessment, v. 189, p. 1-12, https://doi.org/10.1007/s10661-017-6300-0.","productDescription":"Article 578; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-083243","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Morley Nelson Snake River Birds of Prey National Conservation Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.60064697265625,\n              42.88602714832883\n            ],\n            [\n              -115.78765869140625,\n              42.88602714832883\n            ],\n            [\n              -115.78765869140625,\n              43.46089378008257\n            ],\n            [\n              -116.60064697265625,\n              43.46089378008257\n            ],\n            [\n              -116.60064697265625,\n              42.88602714832883\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"189","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a7c1e7ae4b00f54eb22933a","contributors":{"authors":[{"text":"Anderson, Kyle E.","contributorId":198237,"corporation":false,"usgs":false,"family":"Anderson","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":727416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glenn, Nancy","contributorId":181558,"corporation":false,"usgs":false,"family":"Glenn","given":"Nancy","affiliations":[],"preferred":false,"id":727415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spaete, Lucas","contributorId":169444,"corporation":false,"usgs":false,"family":"Spaete","given":"Lucas","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":727417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","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":727418,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arkle, Robert 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149893,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":727419,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","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":727420,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Derryberry, DeWayne R.","contributorId":198239,"corporation":false,"usgs":false,"family":"Derryberry","given":"DeWayne","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727421,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192628,"text":"70192628 - 2017 - A model-based approach to wildland fire reconstruction using sediment charcoal records","interactions":[],"lastModifiedDate":"2017-11-08T16:59:23","indexId":"70192628","displayToPublicDate":"2017-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1577,"text":"Environmetrics","active":true,"publicationSubtype":{"id":10}},"title":"A model-based approach to wildland fire reconstruction using sediment charcoal records","docAbstract":"<p><span>Lake sediment charcoal records are used in paleoecological analyses to reconstruct fire history, including the identification of past wildland fires. One challenge of applying sediment charcoal records to infer fire history is the separation of charcoal associated with local fire occurrence and charcoal originating from regional fire activity. Despite a variety of methods to identify local fires from sediment charcoal records, an integrated statistical framework for fire reconstruction is lacking. We develop a Bayesian point process model to estimate the probability of fire associated with charcoal counts from individual-lake sediments and estimate mean fire return intervals. A multivariate extension of the model combines records from multiple lakes to reduce uncertainty in local fire identification and estimate a regional mean fire return interval. The univariate and multivariate models are applied to 13 lakes in the Yukon Flats region of Alaska. Both models resulted in similar mean fire return intervals (100–350 years) with reduced uncertainty under the multivariate model due to improved estimation of regional charcoal deposition. The point process model offers an integrated statistical framework for paleofire reconstruction and extends existing methods to infer regional fire history from multiple lake records with uncertainty following directly from posterior distributions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/env.2450","usgsCitation":"Itter, M.S., Finley, A., Hooten, M., Higuera, P., Marlon, J.R., Kelly, R., and McLachlan, J.S., 2017, A model-based approach to wildland fire reconstruction using sediment charcoal records: Environmetrics, v. 28, no. 7, p. 1-15, https://doi.org/10.1002/env.2450.","productDescription":"e2450; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-081669","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469372,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://arxiv.org/abs/1612.02382","text":"External Repository"},{"id":348520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-20","publicationStatus":"PW","scienceBaseUri":"5a0425b2e4b0dc0b45b45316","contributors":{"authors":[{"text":"Itter, Malcolm S.","contributorId":193084,"corporation":false,"usgs":false,"family":"Itter","given":"Malcolm","email":"","middleInitial":"S.","affiliations":[{"id":26875,"text":"Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":716585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, Andrew O.","contributorId":70666,"corporation":false,"usgs":true,"family":"Finley","given":"Andrew O.","affiliations":[],"preferred":false,"id":716586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Higuera, Philip E.","contributorId":100741,"corporation":false,"usgs":true,"family":"Higuera","given":"Philip E.","affiliations":[],"preferred":false,"id":716587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716588,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kelly, Ryan","contributorId":172597,"corporation":false,"usgs":false,"family":"Kelly","given":"Ryan","affiliations":[],"preferred":false,"id":716589,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLachlan, Jason S.","contributorId":167179,"corporation":false,"usgs":false,"family":"McLachlan","given":"Jason","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716590,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192467,"text":"70192467 - 2017 - Compositional variations in sands of the Bagnold Dunes, Gale Crater, Mars, from visible-shortwave infrared spectroscopy and comparison with ground truth from the Curiosity Rover","interactions":[],"lastModifiedDate":"2018-01-24T15:52:15","indexId":"70192467","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2317,"text":"Journal of Geophysical Research E: Planets","active":true,"publicationSubtype":{"id":10}},"title":"Compositional variations in sands of the Bagnold Dunes, Gale Crater, Mars, from visible-shortwave infrared spectroscopy and comparison with ground truth from the Curiosity Rover","docAbstract":"<p><span>During its ascent up Mount Sharp, the Mars Science Laboratory Curiosity rover traversed the Bagnold Dune Field. We model sand modal mineralogy and grain size at four locations near the rover traverse, using orbital shortwave infrared single scattering albedo spectra and a Markov-Chain Monte Carlo implementation of Hapke's radiative transfer theory to fully constrain uncertainties and permitted solutions. These predictions, evaluated against in situ measurements at one site from the Curiosity rover, show that XRD-measured mineralogy of the basaltic sands is within the 95% confidence interval of model predictions. However, predictions are relatively insensitive to grain size and are non-unique, especially when modeling the composition of minerals with solid solutions. We find an overall basaltic mineralogy and show subtle spatial variations in composition in and around the Bagnold dunes, consistent with a mafic enrichment of sands with cumulative transport distance by sorting of olivine, pyroxene, and plagioclase grains during aeolian saltation. Furthermore, the large variations in Fe and Mg abundances (~20 wt%) at the Bagnold Dunes suggest that compositional variability induced by wind sorting may be enhanced by local mixing with proximal sand sources. Our estimates demonstrate a method for orbital quantification of composition with rigorous uncertainty determination and provide key constraints for interpreting in situ measurements of compositional variability within martian aeolian sandstones.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JE005133","usgsCitation":"Lapotre, M.G., Ehlmann, B.L., Minson, S.E., Arvidson, R., Ayoub, F., Fraeman, A.A., Ewing, R.C., and Bridges, N.T., 2017, Compositional variations in sands of the Bagnold Dunes, Gale Crater, Mars, from visible-shortwave infrared spectroscopy and comparison with ground truth from the Curiosity Rover: Journal of Geophysical Research E: Planets, v. 122, no. 12, p. 2489-2509, https://doi.org/10.1002/2016JE005133.","productDescription":"21 p.","startPage":"2489","endPage":"2509","ipdsId":"IP-081365","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469382,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016je005133","text":"Publisher Index Page"},{"id":347892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-07","publicationStatus":"PW","scienceBaseUri":"59f98bb2e4b0531197af9fd8","contributors":{"authors":[{"text":"Lapotre, Mathieu G.A.","contributorId":198421,"corporation":false,"usgs":false,"family":"Lapotre","given":"Mathieu","email":"","middleInitial":"G.A.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":715994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ehlmann, B. L.","contributorId":198422,"corporation":false,"usgs":false,"family":"Ehlmann","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":715995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arvidson, R. E.","contributorId":198423,"corporation":false,"usgs":false,"family":"Arvidson","given":"R. E.","affiliations":[],"preferred":false,"id":715996,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ayoub, F.","contributorId":198424,"corporation":false,"usgs":false,"family":"Ayoub","given":"F.","email":"","affiliations":[],"preferred":false,"id":715997,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fraeman, A. A.","contributorId":198425,"corporation":false,"usgs":false,"family":"Fraeman","given":"A.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715998,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ewing, R. C.","contributorId":198426,"corporation":false,"usgs":false,"family":"Ewing","given":"R.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715999,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bridges, N. T.","contributorId":198427,"corporation":false,"usgs":false,"family":"Bridges","given":"N.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":716000,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193218,"text":"70193218 - 2017 - Origin of discrepancies between crater size-frequency distributions of coeval lunar geologic units via target property contrasts","interactions":[],"lastModifiedDate":"2018-11-01T14:41:00","indexId":"70193218","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Origin of discrepancies between crater size-frequency distributions of coeval lunar geologic units via target property contrasts","docAbstract":"<p><span>Recent work on dating Copernican-aged craters, using Lunar Reconnaissance Orbiter (LRO) Camera data, re-encountered a curious discrepancy in crater size-frequency distribution (CSFD) measurements that was observed, but not understood, during the Apollo era. For example, at Tycho, Copernicus, and Aristarchus craters, CSFDs of impact melt deposits give significantly younger relative and absolute model ages (AMAs) than impact ejecta blankets, although these two units formed during one impact event, and would ideally yield coeval ages at the resolution of the CSFD technique. We investigated the effects of contrasting target properties on CSFDs and their resultant relative and absolute model ages for coeval lunar impact melt and ejecta units. We counted craters with diameters through the transition from strength- to gravity-scaling on two large impact melt deposits at Tycho and King craters, and we used pi-group scaling calculations to model the effects of differing target properties on final crater diameters for five different theoretical lunar targets. The new CSFD for the large King Crater melt pond bridges the gap between the discrepant CSFDs within a single geologic unit. Thus, the observed trends in the impact melt CSFDs support the occurrence of target property effects, rather than self-secondary and/or field secondary contamination. The CSFDs generated from the pi-group scaling calculations show that targets with higher density and effective strength yield smaller crater diameters than weaker targets, such that the relative ages of the former are lower relative to the latter. Consequently, coeval impact melt and ejecta units will have discrepant apparent ages. Target property differences also affect the resulting slope of the CSFD, with stronger targets exhibiting shallower slopes, so that the final crater diameters may differ more greatly at smaller diameters. Besides their application to age dating, the CSFDs may provide additional information about the characteristics of the target. For example, the transition diameter from strength- to gravity-scaling could provide a tool for investigating the relative strengths of different geologic units. The magnitude of the offset between the impact melt and ejecta isochrons may also provide information about the relative target properties and/or exposure/degradation ages of the two units. Robotic or human sampling of coeval units on the Moon could provide a direct test of the importance and magnitude of target property effects on CSFDs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.11.040","usgsCitation":"Van der Bogert, C.H., Hiesinger, H., Dundas, C.M., Kruger, T., McEwen, A.S., Zanetti, M., and Robinson, M.S., 2017, Origin of discrepancies between crater size-frequency distributions of coeval lunar geologic units via target property contrasts: Icarus, v. 298, p. 49-63, https://doi.org/10.1016/j.icarus.2016.11.040.","productDescription":"14 p.","startPage":"49","endPage":"63","ipdsId":"IP-067339","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":347822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"298","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98babe4b0531197af9fb0","contributors":{"authors":[{"text":"Van der Bogert, Carolyn H.","contributorId":199120,"corporation":false,"usgs":false,"family":"Van der Bogert","given":"Carolyn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":718237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiesinger, Harald","contributorId":172686,"corporation":false,"usgs":false,"family":"Hiesinger","given":"Harald","email":"","affiliations":[{"id":27080,"text":"Institut für Planetologie, Westfälische Wilhelms-Universität, Münster","active":true,"usgs":false}],"preferred":false,"id":718238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":718236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kruger, T.","contributorId":199121,"corporation":false,"usgs":false,"family":"Kruger","given":"T.","email":"","affiliations":[],"preferred":false,"id":718239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":718241,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zanetti, Michael","contributorId":199122,"corporation":false,"usgs":false,"family":"Zanetti","given":"Michael","email":"","affiliations":[],"preferred":false,"id":718240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Mark S.","contributorId":167665,"corporation":false,"usgs":false,"family":"Robinson","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":718242,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70193126,"text":"70193126 - 2017 - Temporal complexity of southern Beaufort Sea polar bear diets during a period of increasing land use","interactions":[],"lastModifiedDate":"2018-03-26T14:25:20","indexId":"70193126","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Temporal complexity of southern Beaufort Sea polar bear diets during a period of increasing land use","docAbstract":"<p><span>From 2000 to 2013, use of land as a seasonal habitat by polar bears (</span><i>Ursus maritimus</i><span>) of the southern Beaufort Sea (SB) subpopulation substantially increased. This onshore use has been linked to reduced spatial and temporal availability of sea ice, as well as to the availability of subsistence‐harvested bowhead whale (</span><i>Balaena mysticetus</i><span>) bone piles. Here, we evaluated the role of climate conditions on consumption of traditional ice‐associated prey relative to onshore bowhead whale bone piles. We determined seasonal and interannual trends in the diets of SB polar bears using fatty acid‐based analysis during this period of increasing land use. Diet estimates of 569 SB polar bears from 2004 to 2012 showed high seasonal fluctuations in the proportions of prey consumed. Higher proportions of bowhead whale, as well as ringed seal (</span><i>Pusa hispida</i><span>) and beluga whale (</span><i>Delphinapterus leucas</i><span>), were estimated to occur in the winter–spring diet, while higher proportions of bearded seal (</span><i>Erignathus barbatus</i><span>) were estimated for summer–fall diets. Trends in the annual mean proportions of individual prey items were not found in either period, except for significant declines in the proportion of beluga in spring‐sampled bears. Nonetheless, in years following a high winter Arctic oscillation index, proportions of ice‐associated ringed seal were lower in the winter–spring diets of adult females and juveniles. Proportions of bowhead increased in the winter–spring diets of adult males with the number of ice‐free days over the continental shelf. In one or both seasons, polar bears that were in better condition were estimated to have consumed less ringed seal and/or more bowhead whale than those in worse condition. Therefore, climate variation over this recent period appeared to influence the extent of onshore vs. on‐ice food use, which in turn, appeared to be linked to fluctuating condition of SB polar bears.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1633","usgsCitation":"McKinney, M.A., Atwood, T.C., Iverson, S.J., and Peacock, E.L., 2017, Temporal complexity of southern Beaufort Sea polar bear diets during a period of increasing land use: Ecosphere, v. 8, no. 1, Article e01633; 14 p., https://doi.org/10.1002/ecs2.1633.","productDescription":"Article e01633; 14 p.","ipdsId":"IP-071660","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469376,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1633","text":"Publisher Index Page"},{"id":438173,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NIMT90","text":"USGS data release","linkHelpText":"Southern Beaufort Sea Polar Bear Fatty Acid Data, Spring Samples 2004-2016"},{"id":347801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Beaufort Sea","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"59f98bade4b0531197af9fb7","contributors":{"authors":[{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":718078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":718077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iverson, Sara J.","contributorId":38471,"corporation":false,"usgs":true,"family":"Iverson","given":"Sara","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":718079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":718080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193233,"text":"70193233 - 2017 - Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos)","interactions":[],"lastModifiedDate":"2017-11-01T10:55:04","indexId":"70193233","displayToPublicDate":"2017-10-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (<i>Sternula antillarum athalassos</i>)","title":"Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos)","docAbstract":"<p>Many bird species of conservation concern have behavioral or morphological traits that make it difficult for researchers to determine if the birds have been uniquely marked. Those traits can also increase the difficulty for researchers to decipher those markers. As a result, it is a priority for field biologists to develop time- and cost-efficient methods to resight uniquely marked individuals, especially when efforts are spread across multiple States and study areas. The Interior Least Tern (<i>Sternula antillarum athalassos</i>) is one such difficult-to-resight species; its tendency to mob perceived threats, such as observing researchers, makes resighting marked individuals difficult without physical recapture. During 2015, uniquely marked adult Interior Least Terns were resighted and identified by small, inexpensive, high-definition portable video cameras deployed for 29-min periods adjacent to nests. Interior Least Tern individuals were uniquely identified 84% (n = 277) of the time. This method also provided the ability to link individually marked adults to a specific nest, which can aid in generational studies and understanding heritability for difficult-to-resight species. Mark-recapture studies on such species may be prone to sparse encounter data that can result in imprecise or biased demographic estimates and ultimately flawed inferences. High-definition video cameras may prove to be a robust method for generating reliable demographic estimates.</p>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.040.0211","usgsCitation":"Toy, D.L., Roche, E., and Dovichin, C.M., 2017, Small high-definition video cameras as a tool to resight uniquely marked Interior Least Terns (Sternula antillarum athalassos): Waterbirds, v. 40, no. 2, p. 180-186, https://doi.org/10.1675/063.040.0211.","productDescription":"7 p.","startPage":"180","endPage":"186","ipdsId":"IP-075931","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":347847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, North Dakota, South Dakota","otherGeospatial":"U.S. Great 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,{"id":70192304,"text":"70192304 - 2017 - Delayed seismicity rate changes controlled by static stress transfer","interactions":[],"lastModifiedDate":"2017-11-29T16:17:51","indexId":"70192304","displayToPublicDate":"2017-10-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Delayed seismicity rate changes controlled by static stress transfer","docAbstract":"<p><span>On 15 June 2010, a&nbsp;</span><i>M</i><sub><i>w</i></sub><span>5.7 earthquake occurred near Ocotillo, California, in the Yuha Desert. This event was the largest aftershock of the 4 April 2010<span>&nbsp;</span></span><i>M</i><sub><i>w</i></sub><span>7.2 El Mayor-Cucapah (EMC) earthquake in this region. The EMC mainshock and subsequent Ocotillo aftershock provide an opportunity to test the Coulomb failure hypothesis (CFS). We explore the spatiotemporal correlation between seismicity rate changes and regions of positive and negative CFS change imparted by the Ocotillo event. Based on simple CFS calculations we divide the Yuha Desert into three subregions, one triggering zone and two stress shadow zones. We find the nominal triggering zone displays immediate triggering, one stress shadowed region experiences immediate quiescence, and the other nominal stress shadow undergoes an immediate rate increase followed by a delayed shutdown. We quantitatively model the spatiotemporal variation of earthquake rates by combining calculations of CFS change with the rate-state earthquake rate formulation of Dieterich (1994), assuming that each subregion contains a mixture of nucleation sources that experienced a CFS change of differing signs. Our modeling reproduces the observations, including the observed delay in the stress shadow effect in the third region following the Ocotillo aftershock. The delayed shadow effect occurs because of intrinsic differences in the amplitude of the rate response to positive and negative stress changes and the time constants for return to background rates for the two populations. We find that rate-state models of time-dependent earthquake rates are in good agreement with the observed rates and thus explain the complex spatiotemporal patterns of seismicity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB014227","usgsCitation":"Kroll, K.A., Richards-Dinger, K.B., Dieterich, J.H., and Cochran, E.S., 2017, Delayed seismicity rate changes controlled by static stress transfer: Journal of Geophysical Research B: Solid Earth, v. 122, no. 10, p. 7951-7965, https://doi.org/10.1002/2017JB014227.","productDescription":"15 p.","startPage":"7951","endPage":"7965","ipdsId":"IP-070704","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469402,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014227","text":"External Repository"},{"id":347341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.5,\n              32\n            ],\n            [\n              -115,\n              32\n            ],\n            [\n              -115,\n              33.5\n            ],\n            [\n              -116.5,\n              33.5\n            ],\n            [\n              -116.5,\n              32\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"10","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-14","publicationStatus":"PW","scienceBaseUri":"59f1a2a0e4b0220bbd9d9f13","contributors":{"authors":[{"text":"Kroll, Kayla A.","contributorId":146335,"corporation":false,"usgs":false,"family":"Kroll","given":"Kayla","email":"","middleInitial":"A.","affiliations":[{"id":6984,"text":"UC Riverside","active":true,"usgs":false}],"preferred":false,"id":715216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richards-Dinger, Keith B.","contributorId":198155,"corporation":false,"usgs":false,"family":"Richards-Dinger","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":715217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dieterich, James H.","contributorId":198156,"corporation":false,"usgs":false,"family":"Dieterich","given":"James","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":715218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":715215,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191833,"text":"70191833 - 2017 - Implementing Nepal's national building code—A case study in patience and persistence","interactions":[],"lastModifiedDate":"2018-01-24T15:53:40","indexId":"70191833","displayToPublicDate":"2017-10-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Implementing Nepal's national building code—A case study in patience and persistence","docAbstract":"<p><span>The April 2015 Gorkha Nepal earthquake revealed the relative effectiveness of the Nepal Standard, or national building code (NBC), and irregular compliance with it in different parts of Nepal. Much of the damage to more than half a million Nepal's residential structures may be attributed to the prevalence of owner-built or owner-supervised construction and the lack of owner and builder responsiveness to seismic risk and training in the appropriate means of complying with the NBC. To explain these circumstances, we review the protracted implementation of the NBC and the role played by one organization, the National Society for Earthquake Technology-Nepal (NSET), in the NBC's implementation. We also share observations on building code compliance made by individuals in Nepal participating in workshops led by the Earthquake Engineering Research Institute's 2014 class of Housner Fellows.</span></p>","language":"English","publisher":"EERI","doi":"10.1193/121716EQS242M","usgsCitation":"Arendt, L., Hortacsu, A., Jaiswal, K.S., Bevington, J., Shrestha, S., Lanning, F., Mentor-William, G., Naeem, G., and Thibert, K., 2017, Implementing Nepal's national building code—A case study in patience and persistence: Earthquake Spectra, v. 33, no. S1, p. S167-S183, https://doi.org/10.1193/121716EQS242M.","productDescription":"17 p.","startPage":"S167","endPage":"S183","ipdsId":"IP-089851","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":347336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"S1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-01","publicationStatus":"PW","scienceBaseUri":"59f1a2a2e4b0220bbd9d9f27","contributors":{"authors":[{"text":"Arendt, Lucy","contributorId":197352,"corporation":false,"usgs":false,"family":"Arendt","given":"Lucy","email":"","affiliations":[],"preferred":false,"id":713277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hortacsu, Ayse","contributorId":195197,"corporation":false,"usgs":false,"family":"Hortacsu","given":"Ayse","email":"","affiliations":[],"preferred":false,"id":713278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bevington, John","contributorId":195194,"corporation":false,"usgs":false,"family":"Bevington","given":"John","email":"","affiliations":[],"preferred":false,"id":713280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shrestha, Surya","contributorId":150710,"corporation":false,"usgs":false,"family":"Shrestha","given":"Surya","email":"","affiliations":[{"id":18073,"text":"National Society for Earthquake Technology","active":true,"usgs":false}],"preferred":false,"id":713281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lanning, Forrest","contributorId":197353,"corporation":false,"usgs":false,"family":"Lanning","given":"Forrest","email":"","affiliations":[],"preferred":false,"id":713282,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mentor-William, Garmalia","contributorId":197354,"corporation":false,"usgs":false,"family":"Mentor-William","given":"Garmalia","email":"","affiliations":[],"preferred":false,"id":713283,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Naeem, Ghazala","contributorId":194817,"corporation":false,"usgs":false,"family":"Naeem","given":"Ghazala","email":"","affiliations":[],"preferred":false,"id":713284,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thibert, Kate","contributorId":197355,"corporation":false,"usgs":false,"family":"Thibert","given":"Kate","email":"","affiliations":[],"preferred":false,"id":713285,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192267,"text":"70192267 - 2017 - Movements of Atlantic Sturgeon of the Gulf of Maine inside and outside the geographically defined Distinct Population Segment","interactions":[],"lastModifiedDate":"2017-10-24T11:07:48","indexId":"70192267","displayToPublicDate":"2017-10-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Movements of Atlantic Sturgeon of the Gulf of Maine inside and outside the geographically defined Distinct Population Segment","docAbstract":"Identification of potential critical habitat, seasonal distributions, and movements within and between river systems is important for protecting the Gulf of Maine (GOM) Distinct Population Segment of Atlantic Sturgeon.  To accomplish these objectives, we captured Atlantic Sturgeon in four GOM rivers (Penobscot, Kennebec system, Saco, and Merrimack), and tagged 144 (83.3–217.4 cm TL) internally with uniquely coded acoustic transmitters.  Tagged fish were detected between 2006 to 2014 by primary receiver arrays deployed in the four GOM rivers or opportunistically on a secondary group of receivers deployed within the GOM and along the continental shelf.  Atlantic Sturgeon tagged in the four rivers were documented at three spawning areas in the Kennebec system in June and July, including one that became accessible in 1999 when the Edwards Dam was removed.  After being tagged, the majority (74%) of Atlantic sturgeon were detected in the estuaries of the four GOM rivers, primarily from May through October.  Tagged fish spent most of their time in saline water in the Saco River and Merrimack River, moved into brackish water in the Penobscot River, and were found in saline, brackish, and fresh water in the Kennebec system.  Approximately 70% of the tagged fish were detected in GOM coastal waters, and aggregated in the Bay of Fundy (May–January), offshore of the Penobscot River (September-February and May), offshore of the Kennebec River (September–February), in Saco Bay and the Scarborough River (July–November), and along the eastern Massachusetts coast between Cape Ann and Cape Cod (April–February).  Nine tagged Atlantic sturgeon (7%) left the GOM, three of which moved as far north as Halifax in Canada and six moved as far south as the James River in Virginia.  Information from this study will be used to make recommendations to avoid, reduce or mitigate the impacts of in-water projects and on Atlantic sturgeon.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/19425120.2016.1271845","usgsCitation":"Wippelhauser, G.S., Sulikowski, J., Zydlewski, G.B., Altenritter, M., Kieffer, M., and Kinnison, M.T., 2017, Movements of Atlantic Sturgeon of the Gulf of Maine inside and outside the geographically defined Distinct Population Segment: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 9, p. 93-107, https://doi.org/10.1080/19425120.2016.1271845.","productDescription":"15 p.","startPage":"93","endPage":"107","ipdsId":"IP-077082","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469408,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19425120.2016.1271845","text":"Publisher Index Page"},{"id":347186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Massachusetts, New Hampshire","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.444091796875,\n              41.17038447781618\n            ],\n            [\n              -63.10546874999999,\n              41.17038447781618\n            ],\n            [\n              -63.10546874999999,\n              46.05036097561633\n            ],\n            [\n              -71.444091796875,\n              46.05036097561633\n            ],\n            [\n              -71.444091796875,\n              41.17038447781618\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-10","publicationStatus":"PW","scienceBaseUri":"59f0511de4b0220bbd9a1d57","contributors":{"authors":[{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":715067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sulikowski, James","contributorId":197218,"corporation":false,"usgs":false,"family":"Sulikowski","given":"James","email":"","affiliations":[],"preferred":false,"id":715068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":715069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Altenritter, Megan","contributorId":198093,"corporation":false,"usgs":false,"family":"Altenritter","given":"Megan","affiliations":[],"preferred":false,"id":715070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":715071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192024,"text":"70192024 - 2017 - HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios","interactions":[],"lastModifiedDate":"2017-10-24T16:24:55","indexId":"70192024","displayToPublicDate":"2017-10-24T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios","docAbstract":"<p><span>The Hazard Exposure Reporting and Analytics (HERA) dynamic web application was created to provide a platform that makes research on community exposure to coastal-flooding hazards influenced by sea level rise accessible to planners, decision makers, and the public in a manner that is both easy to use and easily accessible. HERA allows users to (a) choose flood-hazard scenarios based on sea level rise and storm assumptions, (b) appreciate the modeling uncertainty behind a chosen hazard zone, (c) select one or several communities to examine exposure, (d) select the category of population or societal asset, and (e) choose how to look at results. The application is designed to highlight comparisons between (a) varying levels of sea level rise and coastal storms, (b) communities, (c) societal asset categories, and (d) spatial scales. Through a combination of spatial and graphical visualizations, HERA aims to help individuals and organizations to craft more informed mitigation and adaptation strategies for climate-driven coastal hazards. This paper summarizes the technologies used to maximize the user experience, in terms of interface design, visualization approaches, and data processing.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2017.08.012","usgsCitation":"Jones, J.M., Henry, K., Wood, N.J., Ng, P., and Jamieson, M., 2017, HERA: A dynamic web application for visualizing community exposure to flood hazards based on storm and sea level rise scenarios: Computers & Geosciences, v. 109, p. 124-133, https://doi.org/10.1016/j.cageo.2017.08.012.","productDescription":"8 p.","startPage":"124","endPage":"133","ipdsId":"IP-085912","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cageo.2017.08.012","text":"Publisher Index Page"},{"id":347292,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f0511fe4b0220bbd9a1d73","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henry, Kevin 0000-0001-9314-2531 khenry@usgs.gov","orcid":"https://orcid.org/0000-0001-9314-2531","contributorId":176934,"corporation":false,"usgs":true,"family":"Henry","given":"Kevin","email":"khenry@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":713861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jamieson, Matthew 0000-0002-9371-9182","orcid":"https://orcid.org/0000-0002-9371-9182","contributorId":197590,"corporation":false,"usgs":false,"family":"Jamieson","given":"Matthew","affiliations":[],"preferred":false,"id":713862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192179,"text":"70192179 - 2017 - Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples","interactions":[],"lastModifiedDate":"2017-10-22T17:09:24","indexId":"70192179","displayToPublicDate":"2017-10-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5522,"text":"Environmental Health","onlineIssn":"1476-069X","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples","docAbstract":"<p><strong>Background</strong></p><p>The eruptions of Eyjafjallajökull (2010) and Grímsvötn (2011), Iceland, triggered immediate, international consideration of the respiratory health hazard of inhaling volcanic ash, and prompted the need to estimate the potential hazard posed by future eruptions of Iceland’s volcanoes to Icelandic and Northern European populations.</p><p>&nbsp;</p><p><strong>Methods</strong></p><p>A physicochemical characterization and toxicological assessment was conducted on a suite of archived ash samples spanning the spectrum of past eruptions (basaltic to rhyolitic magmatic composition) of Icelandic volcanoes following a protocol specifically designed by the International Volcanic Health Hazard Network.</p><p>&nbsp;</p><p><strong>Results</strong></p><p>Icelandic ash can be of a respirable size (up to 11.3 vol.% &lt; 4 μm), but the samples did not display physicochemical characteristics of pathogenic particulate in terms of composition or morphology. Ash particles were generally angular, being composed of fragmented glass and crystals. Few fiber-like particles were observed, but those present comprised glass or sodium oxides, and are not related to pathogenic natural fibers, like asbestos or fibrous zeolites, thereby limiting concern of associated respiratory diseases. None of the samples contained cristobalite or tridymite, and only one sample contained quartz, minerals of interest due to the potential to cause silicosis. Sample surface areas are low, ranging from 0.4 to 1.6 m2 g−1, which aligns with analyses on ash from other eruptions worldwide. All samples generated a low level of hydroxyl radicals (HO•), a measure of surface reactivity, through the iron-catalyzed Fenton reaction compared to concurrently analyzed comparative samples. However, radical generation increased after ‘refreshing’ sample surfaces, indicating that newly erupted samples may display higher reactivity. A composition-dependent range of available surface iron was measured after a 7-day incubation, from 22.5 to 315.7 μmol m−2, with mafic samples releasing more iron than silicic samples. All samples were non-reactive in a test of red blood cell-membrane damage.</p><p>&nbsp;</p><p><strong>Conclusions</strong></p><p>The primary particle-specific concern is the potential for future eruptions of Iceland’s volcanoes to generate fine, respirable material and, thus, to increase ambient PM concentrations. This particularly applies to highly explosive silicic eruptions, but can also hold true for explosive basaltic eruptions or discrete events associated with basaltic fissure eruptions.</p>","language":"English","publisher":"BioMed Central","doi":"10.1186/s12940-017-0302-9","usgsCitation":"Damby, D., Horwell, C.J., Larsen, G., Thordarson, T., Tomatis, M., Fubini, B., and Donaldson, K., 2017, Assessment of the potential respiratory hazard of volcanic ash from future Icelandic eruptions: A study of archived basaltic to rhyolitic ash samples: Environmental Health, v. 16, no. 98, 15 p., https://doi.org/10.1186/s12940-017-0302-9.","productDescription":"15 p.","ipdsId":"IP-085434","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469419,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s12940-017-0302-9","text":"Publisher Index Page"},{"id":347070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"98","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"59edae0ce4b0220bbd975834","contributors":{"authors":[{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":714586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larsen, Gudrun","contributorId":197924,"corporation":false,"usgs":false,"family":"Larsen","given":"Gudrun","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":714587,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thordarson, Thorvaldur","contributorId":197925,"corporation":false,"usgs":false,"family":"Thordarson","given":"Thorvaldur","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":714588,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tomatis, Maura","contributorId":197926,"corporation":false,"usgs":false,"family":"Tomatis","given":"Maura","email":"","affiliations":[{"id":35090,"text":"Dipartimento di Chimica, “G. Scansetti” Interdepartmental Center for Studies on Asbestos and other Toxic Particulates, Università degli Studi di Torino","active":true,"usgs":false}],"preferred":false,"id":714589,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fubini, Bice","contributorId":197927,"corporation":false,"usgs":false,"family":"Fubini","given":"Bice","email":"","affiliations":[{"id":35090,"text":"Dipartimento di Chimica, “G. Scansetti” Interdepartmental Center for Studies on Asbestos and other Toxic Particulates, Università degli Studi di Torino","active":true,"usgs":false}],"preferred":false,"id":714590,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donaldson, Ken","contributorId":197928,"corporation":false,"usgs":false,"family":"Donaldson","given":"Ken","email":"","affiliations":[{"id":35078,"text":"The University of Edinburgh/MRC Centre for Inflammation Research, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":714591,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191898,"text":"70191898 - 2017 - An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates","interactions":[],"lastModifiedDate":"2017-10-18T14:56:26","indexId":"70191898","displayToPublicDate":"2017-10-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates","docAbstract":"<p><span>Camera traps are valuable sampling tools commonly used to inventory and monitor wildlife communities but are challenged to reliably sample small animals. We introduce a novel active camera trap system enabling the reliable and efficient use of wildlife cameras for sampling small animals, particularly reptiles, amphibians, small mammals and large invertebrates. It surpasses the detection ability of commonly used passive infrared (PIR) cameras for this application and eliminates problems such as high rates of false triggers and high variability in detection rates among cameras and study locations. Our system, which employs a HALT trigger, is capable of coupling to digital PIR cameras and is designed for detecting small animals traversing small tunnels, narrow trails, small clearings and along walls or drift fencing.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0185026","usgsCitation":"Hobbs, M.T., and Brehme, C.S., 2017, An improved camera trap for amphibians, reptiles, small mammals, and large invertebrates: PLoS ONE, v. 12, no. 10, e018502, https://doi.org/10.1371/journal.pone.0185026.","productDescription":"e018502","ipdsId":"IP-090943","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469428,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0185026","text":"Publisher Index Page"},{"id":346893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"10","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-05","publicationStatus":"PW","scienceBaseUri":"59e8682ee4b05fe04cd4d1a6","contributors":{"authors":[{"text":"Hobbs, Michael T.","contributorId":197480,"corporation":false,"usgs":false,"family":"Hobbs","given":"Michael","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":713585,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70191664,"text":"70191664 - 2017 - The importance of parameterization when simulating the hydrologic response of vegetative land-cover change","interactions":[],"lastModifiedDate":"2020-05-19T17:59:45.012244","indexId":"70191664","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The importance of parameterization when simulating the hydrologic response of vegetative land-cover change","docAbstract":"<p><span>Computer models of hydrologic systems are frequently used to investigate the hydrologic response of land-cover change. If the modeling results are used to inform resource-management decisions, then providing robust estimates of uncertainty in the simulated response is an important consideration. Here we examine the importance of parameterization, a necessarily subjective process, on uncertainty estimates of the simulated hydrologic response of land-cover change. Specifically, we applied the soil water assessment tool (SWAT) model to a 1.4 km</span><sup>2</sup><span><span>&nbsp;</span>watershed in southern Texas to investigate the simulated hydrologic response of brush management (the mechanical removal of woody plants), a discrete land-cover change. The watershed was instrumented before and after brush-management activities were undertaken, and estimates of precipitation, streamflow, and evapotranspiration (ET) are available; these data were used to condition and verify the model. The role of parameterization in brush-management simulation was evaluated by constructing two models, one with 12 adjustable parameters (reduced parameterization) and one with 1305 adjustable parameters (full parameterization). Both models were subjected to global sensitivity analysis as well as Monte Carlo and generalized likelihood uncertainty estimation (GLUE) conditioning to identify important model inputs and to estimate uncertainty in several quantities of interest related to brush management. Many realizations from both parameterizations were identified as<span>&nbsp;</span></span><q>behavioral</q><span><span>&nbsp;</span>in that they reproduce daily mean streamflow acceptably well according to Nash–Sutcliffe model efficiency coefficient, percent bias, and coefficient of determination. However, the total volumetric ET difference resulting from simulated brush management remains highly uncertain after conditioning to daily mean streamflow, indicating that streamflow data alone are not sufficient to inform the model inputs that influence the simulated outcomes of brush management the most. Additionally, the reduced-parameterization model grossly underestimates uncertainty in the total volumetric ET difference compared to the full-parameterization model; total volumetric ET difference is a primary metric for evaluating the outcomes of brush management. The failure of the reduced-parameterization model to provide robust uncertainty estimates demonstrates the importance of parameterization when attempting to quantify uncertainty in land-cover change simulations.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-21-3975-2017","usgsCitation":"White, J.T., Stengel, V.G., Rendon, S.H., and Banta, J., 2017, The importance of parameterization when simulating the hydrologic response of vegetative land-cover change: Hydrology and Earth System Sciences, v. 21, p. 3975-3989, https://doi.org/10.5194/hess-21-3975-2017.","productDescription":"15 p.","startPage":"3975","endPage":"3989","ipdsId":"IP-087111","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":469514,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-21-3975-2017","text":"Publisher Index Page"},{"id":346738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-04","publicationStatus":"PW","scienceBaseUri":"59e7168ce4b05fe04cd33162","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stengel, Victoria G. 0000-0003-0481-3159 vstengel@usgs.gov","orcid":"https://orcid.org/0000-0003-0481-3159","contributorId":5932,"corporation":false,"usgs":true,"family":"Stengel","given":"Victoria","email":"vstengel@usgs.gov","middleInitial":"G.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rendon, Samuel H. 0000-0001-5589-0563 srendon@usgs.gov","orcid":"https://orcid.org/0000-0001-5589-0563","contributorId":3940,"corporation":false,"usgs":true,"family":"Rendon","given":"Samuel","email":"srendon@usgs.gov","middleInitial":"H.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banta, John 0000-0002-2226-7270 jbanta@usgs.gov","orcid":"https://orcid.org/0000-0002-2226-7270","contributorId":171808,"corporation":false,"usgs":true,"family":"Banta","given":"John","email":"jbanta@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":713005,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191630,"text":"70191630 - 2017 - Ecosystem services from transborder migratory species: Implications for conservation governance","interactions":[],"lastModifiedDate":"2020-09-01T14:21:25.543451","indexId":"70191630","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5317,"text":"Annual Review of Environment and Resources","active":true,"publicationSubtype":{"id":10}},"title":"Ecosystem services from transborder migratory species: Implications for conservation governance","docAbstract":"<p><span>This article discusses the conservation challenges of volant migratory transborder species and conservation governance primarily in North America. Many migratory species provide ecosystem service benefits to society. For example, insectivorous bats prey on crop pests and reduce the need for pesticides; birds and insects pollinate food plants; and birds afford recreational opportunities to hunters and birdwatchers. Migration is driven by the seasonal availability of resources; as resources in one area become seasonally scarce, individuals move to locations where resources have become seasonally abundant. The separation of the annual lifecycle means that species management and governance is often fractured across international borders. Because migratory species depend on habitat in different locations, their ability to provide ecosystem services in one area depends on the spatial subsidies, or support, provided by habitat and ecological processes in other areas. This creates telecouplings, or interconnections across geographic space, of areas such that impacts to the habitat of a migratory species in one location will affect the benefits enjoyed by people in other locations. Information about telecoupling and spatial subsidies can be used to craft new governance arrangements such as Payment for Ecosystem Services programs that target specific stakeholder groups and locations. We illustrate these challenges and opportunities with three North American case studies: the Duck Stamp Program, Mexican free-tailed bats (</span><i>Tadarida brasiliensis mexicana</i><span>), and monarch butterflies (</span><i>Danaus plexippus</i><span>).</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-110615-090119","usgsCitation":"Lopez-Hoffman, L., Chester, C.C., Semmens, D.J., Thogmartin, W.E., Rodriguez-McGoffin, M.S., Merideth, R.W., and Diffendorfer, J.E., 2017, Ecosystem services from transborder migratory species: Implications for conservation governance: Annual Review of Environment and Resources, v. 42, p. 509-539, https://doi.org/10.1146/annurev-environ-110615-090119.","productDescription":"31 p.","startPage":"509","endPage":"539","ipdsId":"IP-084535","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-environ-110615-090119","text":"Publisher Index Page"},{"id":346718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd33171","contributors":{"authors":[{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":712926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chester, Charles C.","contributorId":197202,"corporation":false,"usgs":false,"family":"Chester","given":"Charles","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":712927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":712925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712928,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-McGoffin, M. Sofia","contributorId":197203,"corporation":false,"usgs":false,"family":"Rodriguez-McGoffin","given":"M.","email":"","middleInitial":"Sofia","affiliations":[],"preferred":false,"id":712929,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Merideth, Robert W.","contributorId":147834,"corporation":false,"usgs":false,"family":"Merideth","given":"Robert","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":712930,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":712931,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70191542,"text":"70191542 - 2017 - Influence of pore pressure change on coseismic volumetric strain","interactions":[],"lastModifiedDate":"2017-10-17T11:00:00","indexId":"70191542","displayToPublicDate":"2017-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Influence of pore pressure change on coseismic volumetric strain","docAbstract":"<p><span>Coseismic strain is fundamentally important for understanding crustal response to changes of stress after earthquakes. The elastic dislocation model has been widely applied to interpreting observed shear deformation caused by earthquakes. The application of the same theory to interpreting volumetric strain, however, has met with difficulty, especially in the far field of earthquakes. Predicted volumetric strain with dislocation model often differs substantially, and sometimes of opposite signs, from observed coseismic volumetric strains. The disagreement suggests that some processes unaccounted for by the dislocation model may occur during earthquakes. Several hypotheses have been suggested, but none have been tested quantitatively. In this paper we first examine published data to highlight the difference between the measured and calculated static coseismic volumetric strains; we then use these data to provide quantitative test of the model that the disagreement may be explained by the change of pore pressure in the shallow crust. The test allows us to conclude that coseismic change of pore pressure may be an important mechanism for coseismic crustal strain and, in the far field, may even be the dominant mechanism. Thus in the interpretation of observed coseismic crustal strain, one needs to account not only for the elastic strain due to fault rupture but also for the strain due to coseismic change of pore pressure.</span></p>","language":"English","publisher":"Springer","doi":"10.1016/j.epsl.2017.07.034","usgsCitation":"Wang, C., and Barbour, A., 2017, Influence of pore pressure change on coseismic volumetric strain: Earth and Planetary Science Letters, v. 475, p. 152-159, https://doi.org/10.1016/j.epsl.2017.07.034.","productDescription":"8 p.","startPage":"152","endPage":"159","ipdsId":"IP-085682","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469434,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2017.07.034","text":"Publisher Index Page"},{"id":346678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"475","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e7168ee4b05fe04cd3317d","contributors":{"authors":[{"text":"Wang, Chi-Yuen","contributorId":20001,"corporation":false,"usgs":true,"family":"Wang","given":"Chi-Yuen","affiliations":[],"preferred":false,"id":712711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452 abarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":140443,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew J.","email":"abarbour@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":712710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194633,"text":"70194633 - 2017 - A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada","interactions":[],"lastModifiedDate":"2020-12-16T16:59:11.151556","indexId":"70194633","displayToPublicDate":"2017-10-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada","docAbstract":"<p><span>We present a revised list of freshwater mussels (order Unionida, families Margaritiferidae and Unionidae) of the United States and Canada, incorporating changes in nomenclature and systematic taxonomy since publication of the most recent checklist in 1998. We recognize a total of 298 species in 55 genera in the families Margaritiferidae (one genus, five species) and Unionidae (54 genera, 293 species). We propose one change in the Margaritiferidae: the placement of the formerly monotypic genus&nbsp;</span><i>Cumberlandia</i><span>&nbsp;in the synonymy of&nbsp;</span><i>Margaritifera.</i><span>&nbsp;In the Unionidae, we recognize three new genera, elevate four genera from synonymy, and place three previously recognized genera in synonymy. We recognize for the first time two species (one native and one nonindigenous) in the Asian genus&nbsp;</span><i>Sinanodonta</i><span>&nbsp;as occurring in North America. We recognize four new species and one subspecies and elevate 21 species from synonymy. We elevate 10 subspecies to species status and no longer recognize four subspecies. We change common names for five taxa, correct spelling for eight species, and correct the date of publication of original descriptions for four species.</span></p>","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v20i2.2017.33-58","usgsCitation":"Williams, J.D., Bogan, A.E., Butler, R., Cummings, K.S., Garner, J.T., Harris, J.L., Johnson, N.A., and Watters, G.T., 2017, A revised list of the freshwater mussels (Mollusca: Bivalvia: Unionida) of the United States and Canada: Freshwater Mollusk Biology and Conservation, v. 20, no. 2, p. 33-58, https://doi.org/10.31931/fmbc.v20i2.2017.33-58.","productDescription":"26 p.","startPage":"33","endPage":"58","ipdsId":"IP-086632","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469440,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v20i2.2017.33-58","text":"Publisher Index 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