We compare frictional strengths in the temperature range 25–250 °C of fault gouge from SAFOD (CDZ and SDZ) with quartzofeldspathic wall rocks typical of the central creeping section of the San Andreas Fault (Great Valley sequence and Franciscan Complex). The Great Valley and Franciscan samples have coefficients of friction, μ > 0.35 at all experimental conditions. Strength is unchanged between 25° and 150 °C, but μ increases at higher temperatures, exceeding 0.50 at 250 °C. Both samples are velocity strengthening at room temperature but show velocity-weakening behavior beginning at 150 °C and stick-slip motion at 250 °C. These rocks, therefore, have the potential for unstable seismic slip at depth. The CDZ gouge, with a high saponite content, is weak (μ = 0.09–0.17) and velocity strengthening in all experiments, and μ decreases at temperatures above 150 °C. Behavior of the SDZ is intermediate between the CDZ and wall rocks: μ < 0.2 and does not vary with temperature. Although saponite is probably not stable at depths greater than ∼3 km, substitution of the frictionally similar minerals talc and Mg-rich chlorite for saponite at higher temperatures could potentially extend the range of low strength and stable slip down to the base of the seismogenic zone.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jsg.2016.06.005","usgsCitation":"Moore, D.E., Lockner, D.A., and Hickman, S.H., 2016, Hydrothermal frictional strengths of rock and mineral samples relevant to the creeping section of the San Andreas Fault: Journal of Structural Geology, v. 89, p. 153-167, https://doi.org/10.1016/j.jsg.2016.06.005.","productDescription":"15 p.","startPage":"153","endPage":"167","ipdsId":"IP-071748","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":329297,"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 -122.16796875,\n 35.5\n ],\n [\n -122.16796875,\n 37\n ],\n [\n -120,\n 37\n ],\n [\n -120,\n 35.5\n ],\n [\n -122.16796875,\n 35.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"89","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c834","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833 dlockner@usgs.gov","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":567,"corporation":false,"usgs":true,"family":"Lockner","given":"David","email":"dlockner@usgs.gov","middleInitial":"A.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":643770,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192733,"text":"70192733 - 2016 - Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","interactions":[],"lastModifiedDate":"2017-11-08T13:14:53","indexId":"70192733","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada","docAbstract":"Changes in vegetation and snow cover may lead to feedbacks to climate through changes in surface albedo and energy fluxes between the land and atmosphere. In addition to these biogeophysical feedbacks, biogeochemical feedbacks associated with changes in carbon (C) storage in the vegetation and soils may also influence climate. Here, using a transient biogeographic model (ALFRESCO) and an ecosystem model (DOS-TEM), we quantified the biogeophysical feedbacks due to changes in vegetation and snow cover across continuous permafrost to non-permafrost ecosystems in Alaska and northwest Canada. We also computed the changes in carbon storage in this region to provide a general assessment of the direction of the biogeochemical feedback. We considered four ecoregions, or Landscape Conservations Cooperatives (LCCs; including the Arctic, North Pacific, Western Alaska, and Northwest Boreal). We examined the 90 year period from 2010 to 2099 using one future emission scenario (A1B), under outputs from two general circulation models (MPI-ECHAM5 and CCCMA-CGCM3.1). We found that changes in snow cover duration, including both the timing of snowmelt in the spring and snow return in the fall, provided the dominant positive biogeophysical feedback to climate across all LCCs, and was greater for the ECHAM (+3.1 W m−2 decade−1regionally) compared to the CCCMA (+1.3 W m−2 decade−1 regionally) scenario due to an increase in loss of snow cover in the ECHAM scenario. The greatest overall negative feedback to climate from changes in vegetation cover was due to fire in spruce forests in the Northwest Boreal LCC and fire in shrub tundra in the Western LCC (−0.2 to −0.3 W m−2 decade−1). With the larger positive feedbacks associated with reductions in snow cover compared to the smaller negative feedbacks associated with shifts in vegetation, the feedback to climate warming was positive (total feedback of +2.7 W m−2decade regionally in the ECHAM scenario compared to +0.76 W m−2 decade regionally in the CCCMA scenario). Overall, increases in C storage in the vegetation and soils across the study region would act as a negative feedback to climate. By exploring these feedbacks to climate, we can reach a more integrated understanding of the manner in which climate change may impact interactions between high-latitude ecosystems and the global climate system.
","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/11/10/105003","usgsCitation":"Euskirchen, E., Bennett, A.P., Breen, A.L., Genet, H., Lindgren, M.A., Kurkowski, T., McGuire, A.D., and Rupp, T., 2016, Consequences of changes in vegetation and snow cover for climate feedbacks in Alaska and northwest Canada: Environmental Research Letters, v. 11, p. 1-19, https://doi.org/10.1088/1748-9326/11/10/105003.","productDescription":"Article 105003; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075009","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/10/105003","text":"Publisher Index Page"},{"id":348455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.560546875,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 50.958426723359935\n ],\n [\n -125.20019531249999,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 71.38514208411495\n ],\n [\n -179.560546875,\n 50.958426723359935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-03","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453e7","contributors":{"authors":[{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":721167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, A. P.","contributorId":200154,"corporation":false,"usgs":false,"family":"Bennett","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Breen, Amy L.","contributorId":81396,"corporation":false,"usgs":true,"family":"Breen","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genet, Helene","contributorId":95370,"corporation":false,"usgs":true,"family":"Genet","given":"Helene","affiliations":[],"preferred":false,"id":721170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindgren, Michael A.","contributorId":33237,"corporation":false,"usgs":true,"family":"Lindgren","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kurkowski, Tom","contributorId":198681,"corporation":false,"usgs":false,"family":"Kurkowski","given":"Tom","affiliations":[],"preferred":false,"id":721172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716792,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rupp, T. Scott","contributorId":21395,"corporation":false,"usgs":true,"family":"Rupp","given":"T. Scott","affiliations":[],"preferred":false,"id":721173,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70191981,"text":"70191981 - 2016 - Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear","interactions":[],"lastModifiedDate":"2017-10-19T10:50:38","indexId":"70191981","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear","docAbstract":"The capacity to describe and quantify predation by large carnivores expanded considerably with the advent of GPS technology. Analyzing clusters of GPS locations formed by carnivores facilitates the detection of predation events by identifying characteristics which distinguish predation sites. We present a performance assessment of GPS cluster analysis as applied to the predation and scavenging of an omnivore, the American black bear (Ursus americanus), on ungulate prey and carrion. Through field investigations of 6854 GPS locations from 24 individual bears, we identified 54 sites where black bears formed a cluster of locations while predating or scavenging elk (Cervus elaphus), mule deer (Odocoileus hemionus), or cattle (Bos spp.). We developed models for three data sets to predict whether a GPS cluster was formed at a carnivory site vs. a non-carnivory site (e.g., bed sites or non-ungulate foraging sites). Two full-season data sets contained GPS locations logged at either 3-h or 30-min intervals from April to November, and a third data set contained 30-min interval data from April through July corresponding to the calving period for elk. Longer fix intervals resulted in the detection of fewer carnivory sites. Clusters were more likely to be carnivory sites if they occurred in open or edge habitats, if they occurred in the early season, if the mean distance between all pairs of GPS locations within the cluster was less, and if the cluster endured for a longer period of time. Clusters were less likely to be carnivory sites if they were initiated in the morning or night compared to the day. The top models for each data set performed well and successfully predicted 71–96% of field-verified carnivory events, 55–75% of non–carnivory events, and 58–76% of clusters overall. Refinement of this method will benefit from further application across species and ecological systems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1513","usgsCitation":"Kindschuh, S.R., Cain, J.W., Daniel, D., and Peyton, M.A., 2016, Efficacy of GPS cluster analysis for predicting carnivory sites of a wide-ranging omnivore: the American black bear: Ecosphere, v. 7, no. 10, p. 1-17, https://doi.org/10.1002/ecs2.1513.","productDescription":"e01513; 17 p.","startPage":"1","endPage":"17","ipdsId":"IP-074517","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470521,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1513","text":"Publisher Index Page"},{"id":346948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.93954467773438,\n 35.53781387714839\n ],\n [\n -106.39434814453125,\n 35.53781387714839\n ],\n [\n -106.39434814453125,\n 35.99578538642032\n ],\n [\n -106.93954467773438,\n 35.99578538642032\n ],\n [\n -106.93954467773438,\n 35.53781387714839\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65ccb","contributors":{"authors":[{"text":"Kindschuh, Sarah R.","contributorId":197601,"corporation":false,"usgs":false,"family":"Kindschuh","given":"Sarah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniel, David","contributorId":197602,"corporation":false,"usgs":false,"family":"Daniel","given":"David","email":"","affiliations":[],"preferred":false,"id":713888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peyton, Mark A.","contributorId":197603,"corporation":false,"usgs":false,"family":"Peyton","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70178722,"text":"70178722 - 2016 - Nannoplankton malformation during the Paleocene-Eocene Thermal Maximum and its paleoecological and paleoceanographic significance","interactions":[],"lastModifiedDate":"2016-12-06T12:40:18","indexId":"70178722","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3002,"text":"Paleoceanography","active":true,"publicationSubtype":{"id":10}},"title":"Nannoplankton malformation during the Paleocene-Eocene Thermal Maximum and its paleoecological and paleoceanographic significance","docAbstract":"The Paleocene-Eocene Thermal Maximum (PETM) is characterized by a transient group of nannoplankton, belonging to the genus Discoaster. Our investigation of expanded shelf sections provides unprecedented detail of the morphology and phylogeny of the transient Discoasterduring the PETM and their relationship with environmental change. We observe a much larger range of morphological variation than previously documented suggesting that the taxa belonged to a plexus of highly gradational morphotypes rather than individual species. We propose that the plexus represents malformed ecophenotypes of a single species that migrated to a deep photic zone refuge during the height of PETM warming and eutrophication. Anomalously, high rates of organic matter remineralization characterized these depths during the event and led to lower saturation levels, which caused malformation. The proposed mechanism explains the co-occurrence of malformed Discoaster with pristine species that grew in the upper photic zone; moreover, it illuminates why malformation is a rare phenomenon in the paleontological record.
","language":"English","publisher":"AGU","doi":"10.1002/2016PA002980","usgsCitation":"Bralower, T., and Self-Trail, J., 2016, Nannoplankton malformation during the Paleocene-Eocene Thermal Maximum and its paleoecological and paleoceanographic significance: Paleoceanography, v. 31, no. 10, p. 1423-1439, https://doi.org/10.1002/2016PA002980.","productDescription":"17 p.","startPage":"1423","endPage":"1439","ipdsId":"IP-074908","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":331560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-25","publicationStatus":"PW","scienceBaseUri":"5847dc7de4b06d80b7af6ab1","contributors":{"authors":[{"text":"Bralower, Timothy J.","contributorId":177196,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy J.","affiliations":[],"preferred":false,"id":654962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":654961,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70178440,"text":"70178440 - 2016 - Testing fault growth models with low-temperature thermochronology in the northwest Basin and Range, USA","interactions":[],"lastModifiedDate":"2016-11-21T14:36:13","indexId":"70178440","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Testing fault growth models with low-temperature thermochronology in the northwest Basin and Range, USA","docAbstract":"Common fault growth models diverge in predicting how faults accumulate displacement and lengthen through time. A paucity of field-based data documenting the lateral component of fault growth hinders our ability to test these models and fully understand how natural fault systems evolve. Here we outline a framework for using apatite (U-Th)/He thermochronology (AHe) to quantify the along-strike growth of faults. To test our framework, we first use a transect in the normal fault-bounded Jackson Mountains in the Nevada Basin and Range Province, then apply the new framework to the adjacent Pine Forest Range. We combine new and existing cross sections with 18 new and 16 existing AHe cooling ages to determine the spatiotemporal variability in footwall exhumation and evaluate models for fault growth. Three age-elevation transects in the Pine Forest Range show that rapid exhumation began along the range-front fault between approximately 15 and 11 Ma at rates of 0.2–0.4 km/Myr, ultimately exhuming approximately 1.5–5 km. The ages of rapid exhumation identified at each transect lie within data uncertainty, indicating concomitant onset of faulting along strike. We show that even in the case of growth by fault-segment linkage, the fault would achieve its modern length within 3–4 Myr of onset. Comparison with the Jackson Mountains highlights the inadequacies of spatially limited sampling. A constant fault-length growth model is the best explanation for our thermochronology results. We advocate that low-temperature thermochronology can be further utilized to better understand and quantify fault growth with broader implications for seismic hazard assessments and the coevolution of faulting and topography.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016TC004211","usgsCitation":"Curry, M.A., Barnes, J., and Colgan, J.P., 2016, Testing fault growth models with low-temperature thermochronology in the northwest Basin and Range, USA: Tectonics, v. 35, no. 10, p. 2467-2492, https://doi.org/10.1002/2016TC004211.","productDescription":"26 p.","startPage":"2467","endPage":"2492","ipdsId":"IP-064596","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":331170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-29","publicationStatus":"PW","scienceBaseUri":"583415b3e4b0070c0abed824","contributors":{"authors":[{"text":"Curry, Magdalena A. E.","contributorId":176959,"corporation":false,"usgs":false,"family":"Curry","given":"Magdalena","email":"","middleInitial":"A. E.","affiliations":[],"preferred":false,"id":654183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Jason B.","contributorId":8877,"corporation":false,"usgs":true,"family":"Barnes","given":"Jason B.","affiliations":[],"preferred":false,"id":654184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":654185,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70179746,"text":"70179746 - 2016 - Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","interactions":[],"lastModifiedDate":"2017-01-17T10:51:33","indexId":"70179746","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Flow reconstructions in the Upper Missouri River Basin using riparian tree rings","docAbstract":"River flow reconstructions are typically developed using tree rings from montane conifers that cannot reflect flow regulation or hydrologic inputs from the lower portions of a watershed. Incorporating lowland riparian trees may improve the accuracy of flow reconstructions when these trees are physically linked to the alluvial water table. We used riparian plains cottonwoods (Populus deltoides ssp. monilifera) to reconstruct discharge for three neighboring rivers in the Upper Missouri River Basin: the Yellowstone (n = 389 tree cores), Powder (n = 408), and Little Missouri Rivers (n = 643). We used the Regional Curve Standardization approach to reconstruct log-transformed discharge over the 4 months in early summer that most highly correlated to tree ring growth. The reconstructions explained at least 57% of the variance in historical discharge and extended back to 1742, 1729, and 1643. These are the first flow reconstructions for the Lower Yellowstone and Powder Rivers, and they are the furthest downstream among Rocky Mountain rivers in the Missouri River Basin. Although mostly free-flowing, the Yellowstone and Powder Rivers experienced a shift from early-summer to late-summer flows within the last century. This shift is concurrent with increasing irrigation and reservoir storage, and it corresponds to decreased cottonwood growth. Low-frequency flow patterns revealed wet conditions from 1870 to 1980, a period that includes the majority of the historical record. The 1816–1823 and 1861–1865 droughts were more severe than any recorded, revealing that drought risks are underestimated when using the instrumental record alone.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR018845","usgsCitation":"Schook, D.M., Friedman, J.M., and Rathburn, S.L., 2016, Flow reconstructions in the Upper Missouri River Basin using riparian tree rings: Water Resources Research, v. 52, no. 10, p. 8159-8173, https://doi.org/10.1002/2016WR018845.","productDescription":"15 p.","startPage":"8159","endPage":"8173","ipdsId":"IP-073511","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":462071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr018845","text":"Publisher Index Page"},{"id":333238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"10","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"587f3c31e4b0d96de2564549","contributors":{"authors":[{"text":"Schook, Derek M.","contributorId":178325,"corporation":false,"usgs":false,"family":"Schook","given":"Derek","email":"","middleInitial":"M.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":658513,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178473,"text":"70178473 - 2016 - Climate change and dissolved organic carbon export to the Gulf of Maine","interactions":[],"lastModifiedDate":"2016-11-21T13:35:41","indexId":"70178473","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and dissolved organic carbon export to the Gulf of Maine","docAbstract":"Ongoing climate change is affecting the concentration, export (flux), and timing of dissolved organic carbon (DOC) exported to the Gulf of Maine (GoM) through changes in hydrologic regime. DOC export was calculated for water years 1950 through 2013 for 20 rivers and for water years 1930 through 2013 for 14 rivers draining to the GoM. DOC export was also estimated for the 21st century based on climate and hydrologic modeling in a previously published study. DOC export was calculated by using the regression model LOADEST to fit seasonally adjusted concentration discharge (C-Q) relations. Our results are an analysis of the sensitivity of DOC export to changes in hydrologic conditions over time since land cover and vegetation were held constant over time. Despite large interannual variability, all rivers had increasing DOC export during winter and these trends were significant (p < 0.05) in 10 out of 20 rivers for 1950 to 2013 and in 13 out of 14 rivers for 1930 to 2013. All rivers also had increasing annual export of DOC although fewer trends were statistically significant than for winter export. Projections for DOC export during the 21st century were variable depending on the climate model and greenhouse gas emission scenario that affected future river discharge through effects on precipitation and evapotranspiration. The most consistent result was a significant increase in DOC export in winter in all model-by-emission scenarios. DOC export was projected to decrease during the summer in all model-by-emission scenarios, with statistically significant decreases in half of the scenarios.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2015JG003314","usgsCitation":"Huntington, T.G., Balch, W.M., Aiken, G.R., Sheffield, J., Luo, L., Roesler, C.S., and Camill, P., 2016, Climate change and dissolved organic carbon export to the Gulf of Maine: Journal of Geophysical Research: Biogeosciences, v. 121, no. 10, p. 2700-2716, https://doi.org/10.1002/2015JG003314.","productDescription":"17 p.","startPage":"2700","endPage":"2716","ipdsId":"IP-071250","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":331162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of 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Justin","contributorId":69462,"corporation":false,"usgs":true,"family":"Sheffield","given":"Justin","affiliations":[],"preferred":false,"id":654170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luo, Lifeng","contributorId":176993,"corporation":false,"usgs":false,"family":"Luo","given":"Lifeng","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":654171,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roesler, Collin S.","contributorId":152025,"corporation":false,"usgs":false,"family":"Roesler","given":"Collin","email":"","middleInitial":"S.","affiliations":[{"id":18855,"text":"Department of Earth and Oceanographic Science, Bowdoin College, Brunswick, ME","active":true,"usgs":false}],"preferred":false,"id":654172,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camill, Philip","contributorId":176994,"corporation":false,"usgs":false,"family":"Camill","given":"Philip","email":"","affiliations":[],"preferred":false,"id":654173,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70185034,"text":"70185034 - 2016 - Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA","interactions":[],"lastModifiedDate":"2017-03-15T11:16:36","indexId":"70185034","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA","docAbstract":"Elevated selenium (Se) concentrations in surface water and groundwater have become a concern in areas of the Western United States due to the deleterious effects of Se on aquatic ecosystems. Elevated Se concentrations are most prevalent in irrigated alluvial valleys underlain by Se-bearing marine shales where Se can be leached from geologic materials into the shallow groundwater and surface water systems. This study presents groundwater chemistry and solid-phase geochemical data from the Uncompahgre River Basin in Western Colorado, an irrigated alluvial landscape underlain by Se-rich Cretaceous marine shale. We analyzed Se species, major and trace elements, and stable nitrogen and oxygen isotopes of nitrate in groundwater and aquifer sediments to examine processes governing selenium release and transport in the shallow groundwater system. Groundwater Se concentrations ranged from below detection limit (< 0.5 μg L− 1) to 4070 μg L− 1, and primarily are controlled by high groundwater nitrate concentrations that maintain oxidizing conditions in the aquifer despite low dissolved oxygen concentrations. High nitrate concentrations in non-irrigated soils and nitrate isotopes indicate nitrate is largely derived from natural sources in the Mancos Shale and alluvial material. Thus, in contrast to areas that receive substantial NO3 inputs through inorganic fertilizer application, Se mitigation efforts that involve limiting NO3 application might have little impact on groundwater Se concentrations in the study area. Soluble salts are the primary source of Se to the groundwater system in the study area at-present, but they constitute a small percentage of the total Se content of core material. Sequential extraction results indicate insoluble Se is likely composed of reduced Se in recalcitrant organic matter or discrete selenide phases. Oxidation of reduced Se species that constitute the majority of the Se pool in the study area could be a potential source of Se in the future as soluble salts are progressively depleted.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.06.063","usgsCitation":"Mills, T.J., Mast, M.A., Thomas, J.C., and Keith, G.L., 2016, Controls on selenium distribution and mobilization in an irrigated shallow groundwater system underlain by Mancos Shale, Uncompahgre River Basin, Colorado, USA: Science of the Total Environment, v. 566-567, p. 1621-1631, https://doi.org/10.1016/j.scitotenv.2016.06.063.","productDescription":"11 p.","startPage":"1621","endPage":"1631","ipdsId":"IP-072320","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":337598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Uncompahgre River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.17550659179688,\n 38.41378642476067\n ],\n [\n -107.78961181640625,\n 38.41378642476067\n ],\n [\n -107.78961181640625,\n 38.79476766282312\n ],\n [\n -108.17550659179688,\n 38.79476766282312\n ],\n [\n -108.17550659179688,\n 38.41378642476067\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"566-567","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86aa","contributors":{"authors":[{"text":"Mills, Taylor J. 0000-0001-7252-0521 tmills@usgs.gov","orcid":"https://orcid.org/0000-0001-7252-0521","contributorId":4658,"corporation":false,"usgs":true,"family":"Mills","given":"Taylor","email":"tmills@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Judith C. 0000-0001-7883-1419 juthomas@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":1468,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"juthomas@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Gabrielle L. gkeith@usgs.gov","contributorId":5247,"corporation":false,"usgs":true,"family":"Keith","given":"Gabrielle","email":"gkeith@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684026,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189513,"text":"70189513 - 2016 - Estimating mercury emissions resulting from wildfire in forests of the Western United States","interactions":[],"lastModifiedDate":"2018-08-07T12:28:27","indexId":"70189513","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Estimating mercury emissions resulting from wildfire in forests of the Western United States","docAbstract":"Understanding the emissions of mercury (Hg) from wildfires is important for quantifying the global atmospheric Hg sources. Emissions of Hg from soils resulting from wildfires in the Western United States was estimated for the 2000 to 2013 period, and the potential emission of Hg from forest soils was assessed as a function of forest type and soil-heating. Wildfire released an annual average of 3100 ± 1900 kg-Hg y− 1 for the years spanning 2000–2013 in the 11 states within the study area. This estimate is nearly 5-fold lower than previous estimates for the study region. Lower emission estimates are attributed to an inclusion of fire severity within burn perimeters. Within reported wildfire perimeters, the average distribution of low, moderate, and high severity burns was 52, 29, and 19% of the total area, respectively. Review of literature data suggests that that low severity burning does not result in soil heating, moderate severity fire results in shallow soil heating, and high severity fire results in relatively deep soil heating (< 5 cm). Using this approach, emission factors for high severity burns ranged from 58 to 640 μg-Hg kg-fuel− 1. In contrast, low severity burns have emission factors that are estimated to be only 18–34 μg-Hg kg-fuel− 1. In this estimate, wildfire is predicted to release 1–30 g Hg ha− 1 from Western United States forest soils while above ground fuels are projected to contribute an additional 0.9 to 7.8 g Hg ha− 1. Land cover types with low biomass (desert scrub) are projected to release less than 1 g Hg ha− 1. Following soil sources, fuel source contributions to total Hg emissions generally followed the order of duff > wood > foliage > litter > branches.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.01.166","usgsCitation":"Webster, J., Kane, T., Obrist, D., Ryan, J.N., and Aiken, G.R., 2016, Estimating mercury emissions resulting from wildfire in forests of the Western United States: Science of Total Environment, v. 568, p. 578-586, https://doi.org/10.1016/j.scitotenv.2016.01.166.","productDescription":"9 p.","startPage":"578","endPage":"586","ipdsId":"IP-071233","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":470596,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.01.166","text":"Publisher Index Page"},{"id":343855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"568","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5969d82be4b0d1f9f060a188","contributors":{"authors":[{"text":"Webster, Jackson","contributorId":172157,"corporation":false,"usgs":false,"family":"Webster","given":"Jackson","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":704982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kane, Tyler J. 0000-0003-2511-7312","orcid":"https://orcid.org/0000-0003-2511-7312","contributorId":194675,"corporation":false,"usgs":false,"family":"Kane","given":"Tyler J.","affiliations":[],"preferred":false,"id":704983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obrist, Daniel","contributorId":172155,"corporation":false,"usgs":false,"family":"Obrist","given":"Daniel","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":704984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":704985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":704986,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176901,"text":"70176901 - 2016 - Considerations for building climate-based species distribution models","interactions":[],"lastModifiedDate":"2016-10-20T14:11:27","indexId":"70176901","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Considerations for building climate-based species distribution models","docAbstract":"Climate plays an important role in the distribution of species. A given species may adjust to new conditions in-place, move to new areas with suitable climates, or go extinct. Scientists and conservation practitioners use mathematical models to predict the effects of future climate change on wildlife and plan for a biodiverse future. This 8-page fact sheet written by David N. Bucklin, Mathieu Basille, Stephanie S. Romañach, Laura A. Brandt, Frank J. Mazzotti, and James I. Watling and published by the Department of Wildlife Ecology and Conservation explains how, with a better understanding of species distribution models, we can predict how species may respond to climate change. The models alone cannot tell us how a certain species will actually respond to changes in climate, but they can inform conservation planning that aims to allow species to both adapt in place and (for those that are able to) move to newly suitable areas. Such planning will likely minimize loss of biodiversity due to climate change.","language":"English","publisher":"University of Florida IFAS Extension","usgsCitation":"Bucklin, D.N., Basille, M., Romanach, S.S., Brandt, L.A., Mazzotti, F., and Watling, J.I., 2016, Considerations for building climate-based species distribution models, 8 p.","productDescription":"8 p","ipdsId":"IP-075201","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329494,"type":{"id":15,"text":"Index Page"},"url":"https://edis.ifas.ufl.edu/UW420"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c3e4b0f497e78fca5d","contributors":{"authors":[{"text":"Bucklin, David N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":650661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basille, Mathieu","contributorId":175274,"corporation":false,"usgs":false,"family":"Basille","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":650662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":650660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":650663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":650664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":650665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193672,"text":"70193672 - 2016 - Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-13T14:10:32","indexId":"70193672","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","docAbstract":"Implementing harvest regulations to eliminate or substantially reduce (≥90%) the exploitation of Walleyes Sander vitreus in recreational fisheries may increase population size structure, but these measures also could reduce angler effort because many Walleye anglers are harvest oriented. We analyzed data collected during 1995–2015 to determine whether Walleye population and fishery metrics in Escanaba Lake, Wisconsin, changed after a minimum TL limit of 71 cm with a one-fish daily bag limit was implemented in 2003. This change eliminated the legal harvest of Walleyes after several decades during which annual exploitation averaged 34%. We detected a significant increase in the loge density of adult females after the regulation change, but the loge density of all adults and adult males did not differ between periods. Mean TL of adult males was significantly greater after the regulation change, but the mean TL of females and the proportional size distribution of preferred-length fish (≥51 cm TL) were similar between periods. Sex-specific mean TLs at age 5 did not differ between periods. Loge density of age-0 Walleyes did not change after 2003, but variation in age-0 density was lower. Total angler effort and the effort for anglers targeting Walleyes were significantly lower (35% and 60% declines, respectively) after the regulation change, whereas catch rates for both angler categories did not differ between periods. Our results suggest that implementing highly restrictive regulations that greatly reduce or eliminate legal harvest will not always increase angler catch rates and population size structure. Highly restrictive regulations may also deter anglers from using a fishery when many other fisheries are available. Our findings are useful for fishery managers who may work with anglers holding the belief that lower exploitation is a potential remedy for low Walleye size structure, even when density and growth suggest that there is limited potential for improvement.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1221002","usgsCitation":"Haglund, J.M., Isermann, D.A., and Sass, G., 2016, Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1315-1324, https://doi.org/10.1080/02755947.2016.1221002.","productDescription":"10 p.","startPage":"1315","endPage":"1324","ipdsId":"IP-068947","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Escanaba Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.59681034088135,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.05598993228595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24163","contributors":{"authors":[{"text":"Haglund, Justin M.","contributorId":200302,"corporation":false,"usgs":false,"family":"Haglund","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":31281,"corporation":false,"usgs":true,"family":"Sass","given":"Greg G.","affiliations":[],"preferred":false,"id":721840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194117,"text":"70194117 - 2016 - Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","interactions":[],"lastModifiedDate":"2017-11-16T14:21:14","indexId":"70194117","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","docAbstract":"In this analysis we demonstrate how preferred fish habitat can be predicted and mapped for juveniles of two Alaskan groundfish species – Pacific halibut (Hippoglossus stenolepis) and flathead sole (Hippoglossoides elassodon) – at five sites (Kiliuda Bay, Izhut Bay, Port Dick, Aialik Bay, and the Barren Islands) in the central Gulf of Alaska. The method involves using geographic information system (GIS) software to extract appropriate information from National Ocean Service (NOS) smooth sheets that are available from NGDC (the National Geophysical Data Center). These smooth sheets are highly detailed charts that include more soundings, substrates, shoreline and feature information than the more commonly-known navigational charts. By bringing the information from smooth sheets into a GIS, a variety of surfaces, such as depth, slope, rugosity and mean grain size were interpolated into raster surfaces. Other measurements such as site openness, shoreline length, proportion of bay that is near shore, areas of rocky reefs and kelp beds, water volumes, surface areas and vertical cross-sections were also made in order to quantify differences between the study sites. Proper GIS processing also allows linking the smooth sheets to other data sets, such as orthographic satellite photographs, topographic maps and precipitation estimates from which watersheds and runoff can be derived. This same methodology can be applied to larger areas, taking advantage of these free data sets to describe predicted groundfish essential fish habitat (EFH) in Alaskan waters.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2015.02.020","usgsCitation":"Zimmermann, M., Reid, J.A., and Golden, N.E., 2016, Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes: Deep Sea Research Part II: Topical Studies in Oceanography, v. 132, p. 210-226, https://doi.org/10.1016/j.dsr2.2015.02.020.","productDescription":"17 p.","startPage":"210","endPage":"226","ipdsId":"IP-064195","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470522,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr2.2015.02.020","text":"Publisher Index Page"},{"id":349014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156,\n 56.5\n ],\n [\n -148,\n 56.5\n ],\n [\n -148,\n 60\n ],\n [\n -156,\n 60\n ],\n [\n -156,\n 56.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"132","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24160","contributors":{"authors":[{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":722135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Jane A. 0000-0003-1771-3894 jareid@usgs.gov","orcid":"https://orcid.org/0000-0003-1771-3894","contributorId":2826,"corporation":false,"usgs":true,"family":"Reid","given":"Jane","email":"jareid@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golden, Nadine E. 0000-0001-6007-6486 ngolden@usgs.gov","orcid":"https://orcid.org/0000-0001-6007-6486","contributorId":146220,"corporation":false,"usgs":true,"family":"Golden","given":"Nadine","email":"ngolden@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722136,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188434,"text":"70188434 - 2016 - Seismic evidence of glacial-age river incision into the Tahaa barrier reef, French Polynesia","interactions":[],"lastModifiedDate":"2017-06-09T14:29:21","indexId":"70188434","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Seismic evidence of glacial-age river incision into the Tahaa barrier reef, French Polynesia","docAbstract":"Rivers have long been recognized for their ability to shape reef-bound volcanic islands. On the time-scale of glacial–interglacial sea-level cycles, fluvial incision of exposed barrier reef lagoons may compete with constructional coral growth to shape the coastal geomorphology of ocean islands. However, overprinting of Pleistocene landscapes by Holocene erosion or sedimentation has largely obscured the role lowstand river incision may have played in developing the deep lagoons typical of modern barrier reefs. Here we use high-resolution seismic imagery and core stratigraphy to examine how erosion and/or deposition by upland drainage networks has shaped coastal morphology on Tahaa, a barrier reef-bound island located along the Society Islands hotspot chain in French Polynesia. At Tahaa, we find that many channels, incised into the lagoon floor during Pleistocene sea-level lowstands, are located near the mouths of upstream terrestrial drainages. Steeper antecedent topography appears to have enhanced lowstand fluvial erosion along Tahaa's southwestern coast and maintained a deep pass. During highstands, upland drainages appear to contribute little sediment to refilling accommodation space in the lagoon. Rather, the flushing of fine carbonate sediment out of incised fluvial channels by storms and currents appears to have limited lagoonal infilling and further reinforced development of deep barrier reef lagoons during periods of highstand submersion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.04.008","usgsCitation":"Toomey, M., Woodruff, J.D., Ashton, A.D., and Perron, J.T., 2016, Seismic evidence of glacial-age river incision into the Tahaa barrier reef, French Polynesia: Marine Geology, v. 380, p. 284-289, https://doi.org/10.1016/j.margeo.2016.04.008.","productDescription":"6 p.","startPage":"284","endPage":"289","ipdsId":"IP-070030","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470539,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.margeo.2016.04.008","text":"External Repository"},{"id":342343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"French Polynesia","otherGeospatial":"Tahaa barrier reef","volume":"380","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593bb39fe4b0764e6c60e7b0","contributors":{"authors":[{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":697719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodruff, Jonathan D.","contributorId":192777,"corporation":false,"usgs":false,"family":"Woodruff","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ashton, Andrew D.","contributorId":96970,"corporation":false,"usgs":true,"family":"Ashton","given":"Andrew","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":697721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perron, J. Taylor","contributorId":184100,"corporation":false,"usgs":false,"family":"Perron","given":"J.","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":697722,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70188153,"text":"70188153 - 2016 - Lateral and subsurface flows impact arctic coastal plain lake water budgets","interactions":[],"lastModifiedDate":"2018-10-25T16:43:24","indexId":"70188153","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Lateral and subsurface flows impact arctic coastal plain lake water budgets","docAbstract":"Arctic thaw lakes are an important source of water for aquatic ecosystems, wildlife, and humans. Many recent studies have observed changes in Arctic surface waters related to climate warming and permafrost thaw; however, explaining the trends and predicting future responses to warming is difficult without a stronger fundamental understanding of Arctic lake water budgets. By measuring and simulating surface and subsurface hydrologic fluxes, this work quantified the water budgets of three lakes with varying levels of seasonal drainage, and tested the hypothesis that lateral and subsurface flows are a major component of the post-snowmelt water budgets. A water budget focused only on post-snowmelt surface water fluxes (stream discharge, precipitation, and evaporation) could not close the budget for two of three lakes, even when uncertainty in input parameters was rigorously considered using a Monte Carlo approach. The water budgets indicated large, positive residuals, consistent with up to 70% of mid-summer inflows entering lakes from lateral fluxes. Lateral inflows and outflows were simulated based on three processes; supra-permafrost subsurface inflows from basin-edge polygonal ground, and exchange between seasonally drained lakes and their drained margins through runoff and evapotranspiration. Measurements and simulations indicate that rapid subsurface flow through highly conductive flowpaths in the polygonal ground can explain the majority of the inflow. Drained lakes were hydrologically connected to marshy areas on the lake margins, receiving water from runoff following precipitation and losing up to 38% of lake efflux to drained margin evapotranspiration. Lateral fluxes can be a major part of Arctic thaw lake water budgets and a major control on summertime lake water levels. Incorporating these dynamics into models will improve our ability to predict lake volume changes, solute fluxes, and habitat availability in the changing Arctic.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10917","usgsCitation":"Koch, J.C., 2016, Lateral and subsurface flows impact arctic coastal plain lake water budgets: Hydrological Processes, v. 30, no. 21, p. 3918-3931, https://doi.org/10.1002/hyp.10917.","productDescription":"14 p.","startPage":"3918","endPage":"3931","ipdsId":"IP-064008","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":342033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"30","issue":"21","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-21","publicationStatus":"PW","scienceBaseUri":"59327926e4b0e9bd0eab5513","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"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":696929,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189238,"text":"70189238 - 2016 - Inter-comparison of three-dimensional models of volcanic plumes","interactions":[],"lastModifiedDate":"2017-07-06T13:11:53","indexId":"70189238","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Inter-comparison of three-dimensional models of volcanic plumes","docAbstract":"We performed an inter-comparison study of three-dimensional models of volcanic plumes. A set of common volcanological input parameters and meteorological conditions were provided for two kinds of eruptions, representing a weak and a strong eruption column. From the different models, we compared the maximum plume height, neutral buoyancy level (where plume density equals that of the atmosphere), and level of maximum radial spreading of the umbrella cloud. We also compared the vertical profiles of eruption column properties, integrated across cross-sections of the plume (integral variables). Although the models use different numerical procedures and treatments of subgrid turbulence and particle dynamics, the inter-comparison shows qualitatively consistent results. In the weak plume case (mass eruption rate 1.5 × 106 kg s− 1), the vertical profiles of plume properties (e.g., vertical velocity, temperature) are similar among models, especially in the buoyant plume region. Variability among the simulated maximum heights is ~ 20%, whereas neutral buoyancy level and level of maximum radial spreading vary by ~ 10%. Time-averaging of the three-dimensional (3D) flow fields indicates an effective entrainment coefficient around 0.1 in the buoyant plume region, with much lower values in the jet region, which is consistent with findings of small-scale laboratory experiments. On the other hand, the strong plume case (mass eruption rate 1.5 × 109 kg s− 1) shows greater variability in the vertical plume profiles predicted by the different models. Our analysis suggests that the unstable flow dynamics in the strong plume enhances differences in the formulation and numerical solution of the models. This is especially evident in the overshooting top of the plume, which extends a significant portion (~ 1/8) of the maximum plume height. Nonetheless, overall variability in the spreading level and neutral buoyancy level is ~ 20%, whereas that of maximum height is ~ 10%. This inter-comparison study has highlighted the different capabilities of 3D volcanic plume models, and identified key features of weak and strong plumes, including the roles of jet stability, entrainment efficiency, and particle non-equilibrium, which deserve future investigation in field, laboratory, and numerical studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2016.06.011","usgsCitation":"Suzuki, Y., Costa, A., Cerminara, M., Esposti Ongaro, T., Herzog, M., Van Eaton, A.R., and Denby, L., 2016, Inter-comparison of three-dimensional models of volcanic plumes: Journal of Volcanology and Geothermal Research, v. 326, p. 26-42, https://doi.org/10.1016/j.jvolgeores.2016.06.011.","productDescription":"17 p.","startPage":"26","endPage":"42","ipdsId":"IP-071593","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470540,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.17863/cam.1638","text":"External Repository"},{"id":343414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"326","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c3ee4b0d1f9f057e345","contributors":{"authors":[{"text":"Suzuki, Yujiro","contributorId":194289,"corporation":false,"usgs":false,"family":"Suzuki","given":"Yujiro","email":"","affiliations":[],"preferred":false,"id":703662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costa, Antonio","contributorId":194290,"corporation":false,"usgs":false,"family":"Costa","given":"Antonio","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":703663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cerminara, Matteo","contributorId":194291,"corporation":false,"usgs":false,"family":"Cerminara","given":"Matteo","email":"","affiliations":[],"preferred":false,"id":703664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esposti Ongaro, Tomaso","contributorId":194292,"corporation":false,"usgs":false,"family":"Esposti Ongaro","given":"Tomaso","email":"","affiliations":[],"preferred":false,"id":703665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Michael","contributorId":194293,"corporation":false,"usgs":false,"family":"Herzog","given":"Michael","email":"","affiliations":[],"preferred":false,"id":703666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":703661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denby, Leif","contributorId":194294,"corporation":false,"usgs":false,"family":"Denby","given":"Leif","email":"","affiliations":[],"preferred":false,"id":703667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191951,"text":"70191951 - 2016 - A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery","interactions":[],"lastModifiedDate":"2017-10-19T11:25:32","indexId":"70191951","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery","docAbstract":"Unintentional and illegal introductions of species disrupt food webs and threaten the success of managed sport fisheries. Although many populations of Burbot Lota lota are declining in the species’ native range, a nonnative population recently expanded into Flaming Gorge Reservoir (FGR), Wyoming–Utah, and threatens to disrupt predator–prey interactions within this popular sport fishery. To determine potential impacts on sport fishes, especially trophy Lake Trout Salvelinus namaycush, we assessed the relative abundance of Burbot and quantified the potential trophic or food web impacts of this population by using diet, stable isotope, and bioenergetic analyses. We did not detect a significant potential for food resource competition between Burbot and Lake Trout (Schoener’s overlap index = 0.13), but overall consumption by Burbot likely affects other sport fishes, as indicated by our analyses of trophic niche space. Diet analyses suggested that crayfish were important diet items across time (89.3% of prey by weight in autumn; 49.4% in winter) and across Burbot size-classes (small: 77.5% of prey by weight; medium: 76.6%; large: 39.7%). However, overall consumption by Burbot increases as water temperatures cool, and fish consumption by Burbot in FGR was observed to increase during winter. Specifically, large Burbot consumed more salmonids, and we estimated (bioenergetically) that up to 70% of growth occurred in late autumn and winter. Further, our population-wide consumption estimates indicated that Burbot could consume up to double the biomass of Rainbow Trout Oncorhynchus mykiss stocked annually (>1.3 × 105 kg; >1 million individuals) into FGR. Overall, we provide some of the first information regarding Burbot trophic interactions outside of the species’ native range; these findings can help to inform the management of sport fisheries if Burbot range expansion occurs elsewhere.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1227372","usgsCitation":"Klobucar, S., Saunders, W.C., and Budy, P., 2016, A Lota lota consumption: Trophic dynamics of nonnative Burbot in a valuable sport fishery: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1386-1398, https://doi.org/10.1080/00028487.2016.1227372.","productDescription":"13 p.","startPage":"1386","endPage":"1398","ipdsId":"IP-074691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah, Wyoming","otherGeospatial":"Flaming Gorge Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.74517822265624,\n 40.875103022165824\n ],\n [\n -109.35516357421874,\n 40.875103022165824\n ],\n [\n -109.35516357421874,\n 41.52297326747377\n ],\n [\n -109.74517822265624,\n 41.52297326747377\n ],\n [\n -109.74517822265624,\n 40.875103022165824\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"145","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-14","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65ccf","contributors":{"authors":[{"text":"Klobucar, Stephen L.","contributorId":172291,"corporation":false,"usgs":false,"family":"Klobucar","given":"Stephen L.","affiliations":[],"preferred":false,"id":713937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saunders, W. Carl","contributorId":46883,"corporation":false,"usgs":true,"family":"Saunders","given":"W.","email":"","middleInitial":"Carl","affiliations":[],"preferred":false,"id":713938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678 pbudy@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":140028,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra","email":"pbudy@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713775,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185057,"text":"70185057 - 2016 - Transformative environmental governance","interactions":[],"lastModifiedDate":"2017-03-13T16:18:40","indexId":"70185057","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Transformative environmental governance","docAbstract":"Transformative governance is an approach to environmental governance that has the capacity to respond to, manage, and trigger regime shifts in coupled social-ecological systems (SESs) at multiple scales. The goal of transformative governance is to actively shift degraded SESs to alternative, more desirable, or more functional regimes by altering the structures and processes that define the system. Transformative governance is rooted in ecological theories to explain cross-scale dynamics in complex systems, as well as social theories of change, innovation, and technological transformation. Similar to adaptive governance, transformative governance involves a broad set of governance components, but requires additional capacity to foster new social-ecological regimes including increased risk tolerance, significant systemic investment, and restructured economies and power relations. Transformative governance has the potential to actively respond to regime shifts triggered by climate change, and thus future research should focus on identifying system drivers and leading indicators associated with social-ecological thresholds.
","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-environ-110615-085817","usgsCitation":"Chaffin, B.C., Garmestani, A.S., Gunderson, L.H., Harm Benson, M., Angeler, D., Arnold, C.A., Cosens, B., Kundis Craig, R., Ruhl, J., and Allen, C.R., 2016, Transformative environmental governance: Annual Review of Environment and Resources, v. 41, p. 399-423, https://doi.org/10.1146/annurev-environ-110615-085817.","productDescription":"25 p.","startPage":"399","endPage":"423","ipdsId":"IP-076262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488565,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7326237","text":"External Repository"},{"id":337468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c7af9fe4b0849ce9795e98","contributors":{"authors":[{"text":"Chaffin, Brian C.","contributorId":189131,"corporation":false,"usgs":false,"family":"Chaffin","given":"Brian","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":684153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gunderson, Lance H.","contributorId":12182,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":684155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harm Benson, Melinda","contributorId":189229,"corporation":false,"usgs":false,"family":"Harm Benson","given":"Melinda","email":"","affiliations":[],"preferred":false,"id":684156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":684157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arnold, Craig Anthony","contributorId":189230,"corporation":false,"usgs":false,"family":"Arnold","given":"Craig","email":"","middleInitial":"Anthony","affiliations":[],"preferred":false,"id":684158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cosens, Barbara","contributorId":166744,"corporation":false,"usgs":false,"family":"Cosens","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":684159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kundis Craig, Robin","contributorId":189231,"corporation":false,"usgs":false,"family":"Kundis Craig","given":"Robin","email":"","affiliations":[],"preferred":false,"id":684160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ruhl, J.B.","contributorId":98223,"corporation":false,"usgs":true,"family":"Ruhl","given":"J.B.","affiliations":[],"preferred":false,"id":684161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684107,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70185021,"text":"70185021 - 2016 - Validation of a side-scan sonar method for quantifying walleye spawning habitat availability in the littoral zone of northern Wisconsin Lakes","interactions":[],"lastModifiedDate":"2017-03-14T14:28:24","indexId":"70185021","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","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":"Validation of a side-scan sonar method for quantifying walleye spawning habitat availability in the littoral zone of northern Wisconsin Lakes","docAbstract":"Previous research has generally ignored the potential effects of spawning habitat availability and quality on recruitment of Walleye Sander vitreus, largely because information on spawning habitat is lacking for many lakes. Furthermore, traditional transect-based methods used to describe habitat are time and labor intensive. Our objectives were to determine if side-scan sonar could be used to accurately classify Walleye spawning habitat in the nearshore littoral zone and provide lakewide estimates of spawning habitat availability similar to estimates obtained from a transect–quadrat-based method. Based on assessments completed on 16 northern Wisconsin lakes, interpretation of side-scan sonar images resulted in correct identification of substrate size-class for 93% (177 of 191) of selected locations and all incorrect classifications were within ± 1 class of the correct substrate size-class. Gravel, cobble, and rubble substrates were incorrectly identified from side-scan images in only two instances (1% misclassification), suggesting that side-scan sonar can be used to accurately identify preferred Walleye spawning substrates. Additionally, we detected no significant differences in estimates of lakewide littoral zone substrate compositions estimated using side-scan sonar and a traditional transect–quadrat-based method. Our results indicate that side-scan sonar offers a practical, accurate, and efficient technique for assessing substrate composition and quantifying potential Walleye spawning habitat in the nearshore littoral zone of north temperate lakes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1173141","usgsCitation":"Richter, J.T., Sloss, B.L., and Isermann, D.A., 2016, Validation of a side-scan sonar method for quantifying walleye spawning habitat availability in the littoral zone of northern Wisconsin Lakes: North American Journal of Fisheries Management, v. 36, no. 4, p. 942-950, https://doi.org/10.1080/02755947.2016.1173141.","productDescription":"9 p.","startPage":"942","endPage":"950","ipdsId":"IP-068949","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":337516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd5","contributors":{"authors":[{"text":"Richter, Jacob T.","contributorId":189253,"corporation":false,"usgs":false,"family":"Richter","given":"Jacob","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":684249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":684250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":683982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187250,"text":"70187250 - 2016 - Long-term deer exclusion has complex effects on a suburban forest understory","interactions":[],"lastModifiedDate":"2017-04-28T11:38:30","indexId":"70187250","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3297,"text":"Rhodora","active":true,"publicationSubtype":{"id":10}},"title":"Long-term deer exclusion has complex effects on a suburban forest understory","docAbstract":"Herbivory by deer is one of the leading biotic disturbances on forest understories (i.e., herbs, small shrubs, and small tree seedlings). A large body of research has reported declines in height, abundance, and reproductive capacity of forbs and woody plants coupled with increases in abundance of graminoids, ferns, and exotic species due to deer herbivory. Less clear is the extent to which (and the direction in which) deer alter herbaceous layer diversity, where much of the plant diversity in a forest occurs. We examined the effect of 15 y of deer exclusion on the understory of a suburban hardwood forest in Connecticut exposed to decades of intensive herbivory by white-tailed deer (Odocoileus virginianus). We compared species richness (at subplot and plot scale), individual species and life form group abundance (% cover), and community composition between grazed and exclosure plots, as well as between mesic and wet soil blocks. Forb cover was more than twice as abundant in exclosure as in grazed plots, whereas sedge (Carex spp.) cover was 28 times more abundant, and exotic species cover generally higher in grazed than in exclosure plots. Native and exotic species richness were both higher in grazed than exclosure plots at the subplot scale, and native herbaceous richness was higher in grazed plots at both spatial scales. In contrast, native shrub richness increased with deer exclusion at the plot scale. Our results suggest that deer exclusion had contrasting effects on species richness, depending on plant life form, but that overall richness of both exotic and native plants declined with deer exclusion. In addition, site heterogeneity remained an important driver of vegetation dynamics even in the midst of high deer densities.
","language":"English","publisher":"The New England Botanical Club, Inc.","doi":"10.3119/15-35","usgsCitation":"Faison, E.K., Foster, D., and DeStefano, S., 2016, Long-term deer exclusion has complex effects on a suburban forest understory: Rhodora, v. 118, no. 976, p. 382-402, https://doi.org/10.3119/15-35.","productDescription":"21 p.","startPage":"382","endPage":"402","ipdsId":"IP-072271","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"976","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc22e","contributors":{"authors":[{"text":"Faison, Edward K.","contributorId":191559,"corporation":false,"usgs":false,"family":"Faison","given":"Edward","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, David R.","contributorId":149881,"corporation":false,"usgs":false,"family":"Foster","given":"David R.","affiliations":[{"id":16810,"text":"Harvard Univ.","active":true,"usgs":false}],"preferred":false,"id":693469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70185037,"text":"70185037 - 2016 - Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring","interactions":[],"lastModifiedDate":"2017-03-13T16:40:31","indexId":"70185037","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring","docAbstract":"Benthic chlorophyll a (BChl a) and environmental factors that influence algal biomass were measured monthly from February through October in 22 streams from three agricultural regions of the United States. At-site maximum BChl a ranged from 14 to 406 mg/m2 and generally varied with dissolved inorganic nitrogen (DIN): 8 out of 9 sites with at-site median DIN >0.5 mg/L had maximum BChl a >100 mg/m2. BChl aaccrued and persisted at levels within 50% of at-site maximum for only one to three months. No dominant seasonal pattern for algal biomass accrual was observed in any region. A linear model with DIN, water surface gradient, and velocity accounted for most of the cross-site variation in maximum chlorophyll a(adjusted R2 = 0.7), but was no better than a single value of DIN = 0.5 mg/L for distinguishing between low and high-biomass sites. Studies of nutrient enrichment require multiple samples to estimate algal biomass with sufficient precision given the magnitude of temporal variability of algal biomass. An effective strategy for regional stream assessment of nutrient enrichment could be based on a relation between maximum BChl a and DIN based on repeat sampling at sites selected to represent a gradient in nutrients and application of the relation to a larger number of sites with synoptic nutrient information.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12451","usgsCitation":"Konrad, C.P., and Munn, M.D., 2016, Integrating seasonal information on nutrients and benthic algal biomass into stream water quality monitoring: Journal of the American Water Resources Association, v. 52, no. 5, p. 1223-1237, https://doi.org/10.1111/1752-1688.12451.","productDescription":"15 p.","startPage":"1223","endPage":"1237","ipdsId":"IP-072819","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":470532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12451","text":"Publisher Index Page"},{"id":337474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-22","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795e9a","contributors":{"authors":[{"text":"Konrad, Christopher P. 0000-0002-7354-547X cpkonrad@usgs.gov","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":1716,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","email":"cpkonrad@usgs.gov","middleInitial":"P.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":684032,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70184238,"text":"70184238 - 2016 - Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","interactions":[],"lastModifiedDate":"2018-08-09T12:24:22","indexId":"70184238","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States","docAbstract":"To investigate interactions among disease, pesticides, water quality, and adjacent land cover, we collected samples of water, sediment, and frog tissue from 21 sites in 7 States in the United States (US) representing a variety of amphibian habitats. All samples were analyzed for > 90 pesticides and pesticide degradates, and water and frogs were screened for the amphibian chytrid fungus Batrachochytrium dendrobatidis (Bd) using molecular methods. Pesticides and pesticide degradates were detected frequently in frog breeding habitats (water and sediment) as well as in frog tissue. Fungicides occurred more frequently in water, sediment, and tissue than was expected based upon their limited use relative to herbicides or insecticides. Pesticide occurrence in water or sediment was not a strong predictor of occurrence in tissue, but pesticide concentrations in tissue were correlated positively to agricultural and urban land, and negatively to forested land in 2-km buffers around the sites. Bd was detected in water at 45% of sites, and on 34% of swabbed frogs. Bd detections in water were not associated with differences in land use around sites, but sites with detections had colder water. Frogs that tested positive for Bd were associated with sites that had higher total fungicide concentrations in water and sediment, but lower insecticide concentrations in sediments relative to frogs that were Bd negative. Bd concentrations on frog swabs were positively correlated to dissolved organic carbon, and total nitrogen and phosphorus, and negatively correlated to pH and water temperature.
Data were collected from a range of locations and amphibian habitats and represent some of the first field-collected information aimed at understanding the interactions between pesticides, land use, and amphibian disease. These interactions are of particular interest to conservation efforts as many amphibians live in altered habitats and may depend on wetlands embedded in these landscapes to survive.
","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.scitotenv.2016.05.062","usgsCitation":"Battaglin, W.A., Smalling, K., Anderson, C.W., Calhoun, D.L., Chestnut, T.E., and Muths, E.L., 2016, Potential interactions among disease, pesticides, water quality and adjacent land cover in amphibian habitats in the United States: Science of the Total Environment, v. 566-567, p. 320-332, https://doi.org/10.1016/j.scitotenv.2016.05.062.","productDescription":"13 p.","startPage":"320","endPage":"332","ipdsId":"IP-073673","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":336833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Colorado, Georgia, Idaho, 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","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":680689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Chauncey W. 0000-0002-1016-3781 chauncey@usgs.gov","orcid":"https://orcid.org/0000-0002-1016-3781","contributorId":140160,"corporation":false,"usgs":true,"family":"Anderson","given":"Chauncey","email":"chauncey@usgs.gov","middleInitial":"W.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chestnut, Tara E. chestnut@usgs.gov","contributorId":3921,"corporation":false,"usgs":true,"family":"Chestnut","given":"Tara","email":"chestnut@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":680692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":680693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192667,"text":"70192667 - 2016 - Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","interactions":[],"lastModifiedDate":"2017-11-08T15:24:54","indexId":"70192667","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use","docAbstract":"Worldwide, domestic dogs (Canis familiaris) are one of the most common carnivoran species in natural areas and their populations are still increasing. Dogs have been shown to impact wildlife populations negatively, and their occurrence can alter the abundance, behavior, and activity patterns of native species. However, little is known about abundance and density of the free-ranging dogs that use protected areas. Here, we used camera trap data with an open-robust design mark–recapture model to estimate the number of dogs that used protected areas in Brazilian Atlantic Forest. We estimated the time period these dogs used the protected areas, and explored factors that influenced the probability of continued use (e.g., season, mammal richness, proportion of forest), while accounting for variation in detection probability. Dogs in the studied system were categorized as rural free-ranging, and their abundance varied widely across protected areas (0–73 individuals). Dogs used protected areas near human houses for longer periods (e.g., >50% of sampling occasions) compared to more distant areas. We found no evidence that their probability of continued use varied with season or mammal richness. Dog detection probability decreased linearly among occasions, possibly due to the owners confining their dogs after becoming aware of our presence. Comparing our estimates to those for native carnivoran, we found that dogs were three to 85 times more abundant than ocelots (Leopardus pardalis), two to 25 times more abundant than puma (Puma concolor), and approximately five times more abundant than the crab-eating fox (Cerdocyon thous). Combining camera trapping data with modern mark–recapture methods provides important demographic information on free-ranging dogs that can guide management strategies to directly control dogs' abundance and ranging behavior.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1480","usgsCitation":"Paschoal, A.M., Massara, R., Bailey, L.L., Kendall, W., Doherty, P.F., Hirsch, A., Chiarello, A., and Paglia, A., 2016, Use of Atlantic Forest protected areas by free-ranging dogs: estimating abundance and persistence of use: Ecosphere, v. 7, no. 10, p. 1-15, https://doi.org/10.1002/ecs2.1480.","productDescription":"e01480; 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-071412","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470518,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1480","text":"Publisher Index Page"},{"id":348493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -43,\n -21\n ],\n [\n -41,\n -21\n ],\n [\n -41,\n -19\n ],\n [\n -43,\n -19\n ],\n [\n -43,\n -21\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"5a0425bfe4b0dc0b45b453ed","contributors":{"authors":[{"text":"Paschoal, Ana Maria","contributorId":198658,"corporation":false,"usgs":false,"family":"Paschoal","given":"Ana","email":"","middleInitial":"Maria","affiliations":[],"preferred":false,"id":716680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massara, Rodrigo","contributorId":198659,"corporation":false,"usgs":false,"family":"Massara","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":716681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, William L. 0000-0003-0084-9891 wkendall@usgs.gov","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":166709,"corporation":false,"usgs":true,"family":"Kendall","given":"William L.","email":"wkendall@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":716683,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hirsch, Andre","contributorId":198661,"corporation":false,"usgs":false,"family":"Hirsch","given":"Andre","email":"","affiliations":[],"preferred":false,"id":716684,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chiarello, Adriano","contributorId":198662,"corporation":false,"usgs":false,"family":"Chiarello","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716685,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paglia, Adriano","contributorId":198663,"corporation":false,"usgs":false,"family":"Paglia","given":"Adriano","email":"","affiliations":[],"preferred":false,"id":716686,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70192639,"text":"70192639 - 2016 - The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk","interactions":[],"lastModifiedDate":"2017-11-08T15:55:53","indexId":"70192639","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk","docAbstract":"Partial migration occurs across a variety of taxa and has important ecological and evolutionary consequences. Among ungulates, studies of partially migratory populations have allowed researchers to compare and contrast performance metrics of migrants versus residents and examine how environmental factors influence the relative abundance of each. Such studies tend to characterize animals discretely as either migratory or resident, but we suggest that variable migration distances within migratory herds are an important and overlooked form of population structure, with potential consequences for animal fitness. We examined whether the variation in individual migration distances (20–264 km) within a single wintering population of mule deer (Odocoileus hemionus) was associated with several critical behavioral attributes of migration, including timing of migration, time allocation to seasonal ranges, and exposure to anthropogenic mortality risks. Both the timing of migration and the amount of time animals allocated to seasonal ranges varied with migration distance. Animals migrating long distances (150–250 km) initiated spring migration more than three weeks before than those migrating moderate (50–150 km) or short distances (<50 km). Across an entire year, long-distance migrants spent approximately 100 more days migrating compared to moderate- and short-distance migrants. Relatedly, winter residency of long-distance migrants was 71 d fewer than for animals migrating shorter distances. Exposure to anthropogenic mortality factors, including highways and fences, was high for long-distance migrants, whereas vulnerability to harvest was high for short- and moderate-distance migrants. By reducing the amount of time that animals spend on winter range, long-distance migration may alleviate intraspecific competition for limited forage and effectively increase carrying capacity. Clear differences in winter residency, migration duration, and risk of anthropogenic mortality among short-, moderate-, and long-distance migrants suggest fitness trade-offs may exist among migratory segments of the population. Future studies of partial migration may benefit from expanding comparisons of residents and migrants, to consider how variable migration distances of migrants may influence the costs and benefits of migration.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1534","usgsCitation":"Sawyer, H., Middleton, A., Hayes, M.M., Kauffman, M., and Monteith, K.L., 2016, The extra mile: Ungulate migration distance alters the use of seasonal range and exposure to anthropogenic risk: Ecosphere, v. 7, no. 10, p. 1-11, https://doi.org/10.1002/ecs2.1534.","productDescription":"e01534; 11 p.","startPage":"1","endPage":"11","ipdsId":"IP-073382","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1534","text":"Publisher Index Page"},{"id":348515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.841064453125,\n 41.5579215778042\n ],\n [\n -108.63830566406249,\n 41.5579215778042\n ],\n [\n -108.63830566406249,\n 43.46886761482925\n ],\n [\n -110.841064453125,\n 43.46886761482925\n ],\n [\n -110.841064453125,\n 41.5579215778042\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-24","publicationStatus":"PW","scienceBaseUri":"5a0425bfe4b0dc0b45b453f0","contributors":{"authors":[{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":716619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Middleton, Arthur D.","contributorId":99440,"corporation":false,"usgs":true,"family":"Middleton","given":"Arthur D.","affiliations":[],"preferred":false,"id":716620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Matthew M.","contributorId":172344,"corporation":false,"usgs":false,"family":"Hayes","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":716621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900 mkauffman@usgs.gov","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":189179,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew J.","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":false,"id":716618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monteith, Kevin L.","contributorId":198656,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716622,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70179552,"text":"70179552 - 2016 - Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","interactions":[],"lastModifiedDate":"2018-08-07T12:27:16","indexId":"70179552","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin","docAbstract":"The ability to focus on the most biologically relevant contaminants affecting aquatic ecosystems can be challenging because toxicity-assessment programs have not kept pace with the growing number of contaminants requiring testing. Because it has proven effective at assessing the biological impacts of potentially toxic contaminants, profiling of endogenous metabolites (metabolomics) may help screen out contaminants with a lower likelihood of eliciting biological impacts, thereby prioritizing the most biologically important contaminants. The authors present results from a study that utilized cage-deployed fathead minnows (Pimephales promelas) at 18 sites across the Great Lakes basin. They measured water temperature and contaminant concentrations in water samples (132 contaminants targeted, 86 detected) and used 1H-nuclear magnetic resonance spectroscopy to measure endogenous metabolites in polar extracts of livers. They used partial least-squares regression to compare relative abundances of endogenous metabolites with contaminant concentrations and temperature. The results indicated that profiles of endogenous polar metabolites covaried with at most 49 contaminants. The authors identified up to 52% of detected contaminants as not significantly covarying with changes in endogenous metabolites, suggesting they likely were not eliciting measurable impacts at these sites. This represents a first step in screening for the biological relevance of detected contaminants by shortening lists of contaminants potentially affecting these sites. Such information may allow risk assessors to prioritize contaminants and focus toxicity testing on the most biologically relevant contaminants. Environ Toxicol Chem 2016;35:2493–2502.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.3409","usgsCitation":"Davis, J.M., Ekman, D.R., Teng, Q., Ankley, G., Berninger, J., Cavallin, J.E., Jensen, K.M., Kahl, M.D., Schroeder, A.L., Villeneuve, D.L., Jorgenson, Z.G., Lee, K., and Collette, T., 2016, Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2493-2502, https://doi.org/10.1002/etc.3409.","productDescription":"10 p.","startPage":"2493","endPage":"2502","ipdsId":"IP-068621","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":332905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"586e1823e4b0f5ce109fcae1","contributors":{"authors":[{"text":"Davis, John M.","contributorId":177967,"corporation":false,"usgs":false,"family":"Davis","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ekman, Drew R.","contributorId":12785,"corporation":false,"usgs":true,"family":"Ekman","given":"Drew","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":657679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teng, Quincy","contributorId":177969,"corporation":false,"usgs":false,"family":"Teng","given":"Quincy","email":"","affiliations":[],"preferred":false,"id":657680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald T.","affiliations":[{"id":13485,"text":"U.S. Environmental Protection Agency, Duluth, MN","active":true,"usgs":false}],"preferred":false,"id":657681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berninger, Jason P.","contributorId":173602,"corporation":false,"usgs":false,"family":"Berninger","given":"Jason P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":657682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cavallin, Jenna E.","contributorId":146304,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":657683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Kathleen M.","contributorId":84492,"corporation":false,"usgs":true,"family":"Jensen","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":657684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kahl, Michael D.","contributorId":146306,"corporation":false,"usgs":false,"family":"Kahl","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":657685,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schroeder, Anthony L.","contributorId":173596,"corporation":false,"usgs":false,"family":"Schroeder","given":"Anthony","email":"","middleInitial":"L.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false},{"id":12503,"text":"University of Minnesota - Saint Paul","active":true,"usgs":false}],"preferred":false,"id":657686,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Villeneuve, Daniel L.","contributorId":141084,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","email":"","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":657687,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":657688,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lee, Kathy 0000-0002-7683-1367 klee@usgs.gov","orcid":"https://orcid.org/0000-0002-7683-1367","contributorId":2538,"corporation":false,"usgs":true,"family":"Lee","given":"Kathy","email":"klee@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":657677,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Collette, Timothy W.","contributorId":15936,"corporation":false,"usgs":true,"family":"Collette","given":"Timothy W.","affiliations":[],"preferred":false,"id":657689,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193668,"text":"70193668 - 2016 - Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments","interactions":[],"lastModifiedDate":"2017-11-13T14:18:21","indexId":"70193668","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments","docAbstract":"Conservation organizations worldwide are investing in climate change vulnerability assessments. Most vulnerability assessment methods focus on either landscape features or species traits that can affect a species vulnerability to climate change. However, landscape features and species traits likely interact to affect vulnerability. We compare a landscape-based assessment, a trait-based assessment, and an assessment that combines landscape variables and species traits for 113 species of birds, herpetofauna, and mammals in the northeastern United States. Our aim is to better understand which species traits and landscape variables have the largest influence on assessment results and which types of vulnerability assessments are most useful for different objectives. Species traits were most important for determining which species will be most vulnerable to climate change. The sensitivity of species to dispersal barriers and the species average natal dispersal distance were the most important traits. Landscape features were most important for determining where species will be most vulnerable because species were most vulnerable in areas where multiple landscape features combined to increase vulnerability, regardless of species traits. The interaction between landscape variables and species traits was important when determining how to reduce climate change vulnerability. For example, an assessment that combines information on landscape connectivity, climate change velocity, and natal dispersal distance suggests that increasing landscape connectivity may not reduce the vulnerability of many species. Assessments that include landscape features and species traits will likely be most useful in guiding conservation under climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.07.030","usgsCitation":"Nadeau, C.P., and Fuller, A.K., 2016, Combining landscape variables and species traits can improve the utility of climate change vulnerability assessments: Biological Conservation, v. 202, p. 30-38, https://doi.org/10.1016/j.biocon.2016.07.030.","productDescription":"9 p.","startPage":"30","endPage":"38","ipdsId":"IP-060118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.70556640625,\n 37.996162679728116\n ],\n [\n -66.70898437499999,\n 37.996162679728116\n ],\n [\n -66.70898437499999,\n 47.68018294648414\n ],\n [\n -80.70556640625,\n 47.68018294648414\n ],\n [\n -80.70556640625,\n 37.996162679728116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"202","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24166","contributors":{"authors":[{"text":"Nadeau, Christopher P.","contributorId":105956,"corporation":false,"usgs":true,"family":"Nadeau","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":721844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}