{"pageNumber":"451","pageRowStart":"11250","pageSize":"25","recordCount":40790,"records":[{"id":70192642,"text":"70192642 - 2017 - Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","interactions":[],"lastModifiedDate":"2017-11-07T14:44:39","indexId":"70192642","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5542,"text":"Advances in Statistical Climatology, Meteorology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression","docAbstract":"<p><span>Scientific records of temperature and precipitation have been kept for several hundred years, but for many areas, only a shorter record exists. To understand climate change, there is a need for rigorous statistical reconstructions of the paleoclimate using proxy data. Paleoclimate proxy data are often sparse, noisy, indirect measurements of the climate process of interest, making each proxy uniquely challenging to model statistically. We reconstruct spatially explicit temperature surfaces from sparse and noisy measurements recorded at historical United States military forts and other observer stations from 1820 to 1894. One common method for reconstructing the paleoclimate from proxy data is principal component regression (PCR). With PCR, one learns a statistical relationship between the paleoclimate proxy data and a set of climate observations that are used as patterns for potential reconstruction scenarios. We explore PCR in a Bayesian hierarchical framework, extending classical PCR in a variety of ways. First, we model the latent principal components probabilistically, accounting for measurement error in the observational data. Next, we extend our method to better accommodate outliers that occur in the proxy data. Finally, we explore alternatives to the truncation of lower-order principal components using different regularization techniques. One fundamental challenge in paleoclimate reconstruction efforts is the lack of out-of-sample data for predictive validation. Cross-validation is of potential value, but is computationally expensive and potentially sensitive to outliers in sparse data scenarios. To overcome the limitations that a lack of out-of-sample records presents, we test our methods using a simulation study, applying proper scoring rules including a computationally efficient approximation to leave-one-out cross-validation using the log score to validate model performance. The result of our analysis is a spatially explicit reconstruction of spatio-temporal temperature from a very sparse historical record.</span></p>","language":"English","publisher":"Copernicus Publications","doi":"10.5194/ascmo-3-1-2017","usgsCitation":"Tipton, J., Hooten, M., and Goring, S., 2017, Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression: Advances in Statistical Climatology, Meteorology and Oceanography, v. 3, p. 1-16, https://doi.org/10.5194/ascmo-3-1-2017.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-076974","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470165,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/ascmo-3-1-2017","text":"Publisher Index Page"},{"id":348403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"5a07e953e4b09af898c8cc0f","contributors":{"authors":[{"text":"Tipton, John","contributorId":166999,"corporation":false,"usgs":false,"family":"Tipton","given":"John","affiliations":[],"preferred":false,"id":716635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":716636,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70189500,"text":"70189500 - 2017 - Relative contributions of copper oxide nanoparticles and dissolved copper to Cu uptake kinetics of Gulf killifish (Fundulus grandis) embryos","interactions":[],"lastModifiedDate":"2017-07-13T16:27:55","indexId":"70189500","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relative contributions of copper oxide nanoparticles and dissolved copper to Cu uptake kinetics of Gulf killifish (<i>Fundulus grandis</i>) embryos","title":"Relative contributions of copper oxide nanoparticles and dissolved copper to Cu uptake kinetics of Gulf killifish (Fundulus grandis) embryos","docAbstract":"<p style=\"text-align: left;\" data-mce-style=\"text-align: left;\"><span>The toxicity of soluble metal-based nanomaterials may be due to the uptake of metals in both dissolved and nanoparticulate forms, but the relative contributions of these different forms to overall metal uptake rates under environmental conditions are not quantitatively defined. Here, we investigated the linkage between the dissolution rates of copper(II) oxide (CuO) nanoparticles (NPs) and their bioavailability to Gulf killifish (</span><i>Fundulus grandis</i><span>) embryos, with the aim of quantitatively delineating the relative contributions of nanoparticulate and dissolved species for Cu uptake. Gulf killifish embryos were exposed to dissolved Cu and CuO NP mixtures comprising a range of pH values (6.3–7.5) and three types of natural organic matter (NOM) isolates at various concentrations (0.1–10 mg-C L</span><sup>–1</sup><span>), resulting in a wide range of CuO NP dissolution rates that subsequently influenced Cu uptake. First-order dissolution rate constants of CuO NPs increased with increasing NOM concentration and for NOM isolates with higher aromaticity, as indicated by specific ultraviolet absorbance (SUVA), while Cu uptake rate constants of both dissolved Cu and CuO NP decreased with NOM concentration and aromaticity. As a result, the relative contribution of dissolved Cu and nanoparticulate CuO species for the overall Cu uptake rate was insensitive to NOM type or concentration but largely determined by the percentage of CuO that dissolved. These findings highlight SUVA and aromaticity as key NOM properties affecting the dissolution kinetics and bioavailability of soluble metal-based nanomaterials in organic-rich waters. These properties could be used in the incorporation of dissolution kinetics into predictive models for environmental risks of nanomaterials.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04672","usgsCitation":"Jiang, C., Castellon, B.T., Matson, C., Aiken, G.R., and Hsu-Kim, H., 2017, Relative contributions of copper oxide nanoparticles and dissolved copper to Cu uptake kinetics of Gulf killifish (Fundulus grandis) embryos: Environmental Science & Technology, v. 51, no. 3, p. 1395-1404, https://doi.org/10.1021/acs.est.6b04672.","productDescription":"10 p.","startPage":"1395","endPage":"1404","ipdsId":"IP-080135","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"596886a0e4b0d1f9f05f5992","contributors":{"authors":[{"text":"Jiang, Chuanjia","contributorId":194659,"corporation":false,"usgs":false,"family":"Jiang","given":"Chuanjia","email":"","affiliations":[],"preferred":false,"id":704919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castellon, Benjamin T.","contributorId":194660,"corporation":false,"usgs":false,"family":"Castellon","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":704920,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matson, Cole W.","contributorId":141222,"corporation":false,"usgs":false,"family":"Matson","given":"Cole W.","affiliations":[{"id":13716,"text":"Baylor University","active":true,"usgs":false}],"preferred":false,"id":704921,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":704922,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hsu-Kim, Heileen","contributorId":49041,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":704923,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70191830,"text":"70191830 - 2017 - Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","interactions":[],"lastModifiedDate":"2017-10-19T13:24:21","indexId":"70191830","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","docAbstract":"<p><span>Extreme space weather events are low-frequency, high-risk phenomena. Estimating their rates of occurrence, as well as their associated uncertainties, is difficult. In this study, we derive statistical estimates and uncertainties for the occurrence rate of an extreme geomagnetic storm on the scale of the Carrington event (or worse) occurring within the next decade. We model the distribution of events as either a power law or lognormal distribution and use (1) Kolmogorov-Smirnov statistic to estimate goodness of fit, (2) bootstrapping to quantify the uncertainty in the estimates, and (3) likelihood ratio tests to assess whether one distribution is preferred over another. Our best estimate for the probability of another extreme geomagnetic event comparable to the Carrington event occurring within the next 10&nbsp;years is 10.3% 95%&nbsp; confidence interval (CI) [0.9,18.7] for a power law distribution but only 3.0% 95%&nbsp;CI [0.6,9.0] for a lognormal distribution. However, our results depend crucially on (1) how we define an extreme event, (2) the statistical model used to describe how the events are distributed in intensity, (3) the techniques used to infer the model parameters, and (4) the data and duration used for the analysis. We test a major assumption that the data represent time stationary processes and discuss the implications. If the current trends persist, suggesting that we are entering a period of lower activity, our forecasts may represent upper limits rather than best estimates.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016SW001470","usgsCitation":"Riley, P., and Love, J.J., 2017, Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties: Space Weather, v. 15, no. 1, p. 53-64, https://doi.org/10.1002/2016SW001470.","productDescription":"12 p.","startPage":"53","endPage":"64","ipdsId":"IP-081721","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-10","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cba","contributors":{"authors":[{"text":"Riley, Pete","contributorId":145704,"corporation":false,"usgs":false,"family":"Riley","given":"Pete","email":"","affiliations":[{"id":16202,"text":"Predictive Science Inc.","active":true,"usgs":false}],"preferred":false,"id":713249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70188367,"text":"70188367 - 2017 - Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","interactions":[],"lastModifiedDate":"2017-06-07T11:31:38","indexId":"70188367","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","docAbstract":"<p><span>GPS velocity fields in the Western US have been interpreted with various physical models of the lithosphere-asthenosphere system: (1) time-independent block models; (2) time-dependent viscoelastic-cycle models, where deformation is driven by viscoelastic relaxation of the lower crust and upper mantle from past faulting events; (3) viscoelastic block models, a time-dependent variation of the block model. All three models are generally driven by a combination of loading on locked faults and (aseismic) fault creep. Here we construct viscoelastic block models and viscoelastic-cycle models for the Western US, focusing on the Pacific Northwest and the earthquake cycle on the Cascadia megathrust. In the viscoelastic block model, the western US is divided into blocks selected from an initial set of 137 microplates using the method of Total Variation Regularization, allowing potential trade-offs between faulting and megathrust coupling to be determined algorithmically from GPS observations. Fault geometry, slip rate, and locking rates (i.e. the locking fraction times the long term slip rate) are estimated simultaneously within the TVR block model. For a range of mantle asthenosphere viscosity (4.4&nbsp;×&nbsp;10</span><sup>18</sup><span> to 3.6&nbsp;×&nbsp;10</span><sup>20</sup><span> Pa s) we find that fault locking on the megathrust is concentrated in the uppermost 20&nbsp;km in depth, and a locking rate contour line of 30&nbsp;mm yr</span><sup>−1</sup><span> extends deepest beneath the Olympic Peninsula, characteristics similar to previous time-independent block model results. These results are corroborated by viscoelastic-cycle modelling. The average locking rate required to fit the GPS velocity field depends on mantle viscosity, being higher the lower the viscosity. Moreover, for viscosity ≲ 10</span><sup>20</sup><span> Pa s, the amount of inferred locking is higher than that obtained using a time-independent block model. This suggests that time-dependent models for a range of admissible viscosity structures could refine our knowledge of the locking distribution and its epistemic uncertainty.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggx009","usgsCitation":"Pollitz, F., and Evans, E., 2017, Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust: Geophysical Journal International, v. 209, no. 1, p. 167-185, https://doi.org/10.1093/gji/ggx009.","productDescription":"19 p.","startPage":"167","endPage":"185","ipdsId":"IP-075706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"593910ade4b0764e6c5e8860","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189600,"text":"70189600 - 2017 - The waterfall paradox: How knickpoints disconnect hillslope and channel processes, isolating salmonid populations in ideal habitats","interactions":[],"lastModifiedDate":"2017-07-18T12:36:02","indexId":"70189600","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"The waterfall paradox: How knickpoints disconnect hillslope and channel processes, isolating salmonid populations in ideal habitats","docAbstract":"<p><span>Waterfalls create barriers to fish migration, yet hundreds of isolated salmonid populations exist above barriers and have persisted for thousands of years in steep mountainous terrain. Ecological theory indicates that small isolated populations in disturbance-prone landscapes are at greatest risk of extirpation because immigration and recolonization are not possible. On the contrary, many above-barrier populations are currently thriving while their downstream counterparts are dwindling. This quandary led us to explore geomorphic knickpoints as a mechanism for disconnecting hillslope and channel processes by limiting channel incision and decreasing the pace of base-level lowering. Using LiDAR from the Oregon Coast Range, we found gentler channel gradients, wider valleys, lower gradient hillslopes, and less shallow landslide potential in an above-barrier catchment compared to a neighboring catchment devoid of persistent knickpoints. Based on this unique geomorphic template, above-barrier channel networks are less prone to debris flows and other episodic sediment fluxes. These above-barrier catchments also have greater resiliency to flooding, owing to wider valleys with greater floodplain connectivity. Habitat preference models further indicate that salmonid habitat is present in greater quantity and quality in these above-barrier networks. Therefore the paradox of the persistence of small isolated fish populations may be facilitated by a geomorphic mechanism that both limits their connectivity to larger fish populations yet dampens the effect of disturbance by decreasing connections between hillslope and channel processes above geomorphic knickpoints.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2016.03.029","usgsCitation":"May, C., Roering, J., Snow, K., Griswold, K., and Gresswell, R.E., 2017, The waterfall paradox: How knickpoints disconnect hillslope and channel processes, isolating salmonid populations in ideal habitats: Geomorphology, v. 277, p. 228-236, https://doi.org/10.1016/j.geomorph.2016.03.029.","productDescription":"9 p.","startPage":"228","endPage":"236","ipdsId":"IP-066828","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":343992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"277","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"596f1e26e4b0d1f9f0640763","contributors":{"authors":[{"text":"May, Christine","contributorId":99619,"corporation":false,"usgs":true,"family":"May","given":"Christine","affiliations":[],"preferred":false,"id":705363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roering, Joshua J.","contributorId":194297,"corporation":false,"usgs":false,"family":"Roering","given":"Joshua J.","affiliations":[],"preferred":false,"id":705364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Kyle","contributorId":194786,"corporation":false,"usgs":false,"family":"Snow","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":705365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griswold, Kitty","contributorId":194787,"corporation":false,"usgs":false,"family":"Griswold","given":"Kitty","email":"","affiliations":[],"preferred":false,"id":705366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gresswell, Robert E. 0000-0003-0063-855X bgresswell@usgs.gov","orcid":"https://orcid.org/0000-0003-0063-855X","contributorId":147914,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert","email":"bgresswell@usgs.gov","middleInitial":"E.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":705367,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195843,"text":"70195843 - 2017 - Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","interactions":[],"lastModifiedDate":"2018-03-06T10:53:54","indexId":"70195843","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dissolution of fluorapatite by <i>Pseudomonas fluorescens</i> P35 resulting in fluorine release","title":"Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","docAbstract":"<p><span>Chemical weathering of fluorine-bearing minerals is widely accepted as the main mechanism for the release of fluorine (F) to groundwater. Here, we propose a potential mechanism of F release via microbial dissolution of fluorapatite (Ca</span><sub>5</sub><span>(PO</span><sub>4</sub><span>)</span><sub>3</sub><span>F), which has been neglected previously. Batch culture experiments were conducted at 30°C with a phosphate-solubilizing bacteria strain,<span>&nbsp;</span></span><i>Pseudomonas fluorescens</i><span><span>&nbsp;</span>P35, and rock phosphates as the sole source of phosphate for microbial growth in parallel with abiotic controls. Rock phosphates consisted of 55–91% of fluorapatite and 5–10% of dolomite before microbial dissolution as indicated by X-ray diffraction (XRD). Mineral composition and morphology changed after microbial dissolution characterized by the disappearance of dolomite and the development of etched cavities on rock phosphate surfaces. The pH of media used was approximately 7.4 at the beginning and increased gradually to 7.7 in abiotic controls; with the inoculum, the pH decreased to acidic values of 3.7–3.8 after 27&nbsp;h. Phosphate, calcium, and fluoride were released from the rock phosphate to the acidified medium. At 42&nbsp;h, the concentration of F reached 8.1–10.3&nbsp;mg L</span><sup>−1</sup><span>. The elevated F concentration was two times higher than the F levels in groundwater in regions diagnosed with fluorosis, and was toxic to the bacteria, as demonstrated by a precipitous decrease in live cells. Geochemical modeling demonstrated that the oxidation of glucose (the carbon source for microbial growth in the medium) to gluconic acid could decrease the pH to 3.7–3.8 and result in the dissolution of fluorapatite and dolomite. Dolomite and fluorapatite remained unsaturated, while concentrations of dissolved phosphorus (P), calcium (Ca), and F increased throughout the time course Fluorite reached saturation [saturation index (SI) 0.22–0.42] after 42&nbsp;h in rock phosphate–amended biotic systems. However, fluorite was not detected in XRD patterns of the final residue from microcosms. Given that phosphate-solubilizing bacteria are ubiquitous in soil and groundwater ecosystems, they could play an important role in fluorapatite dissolution and the release of F to groundwater.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2016.1204376","usgsCitation":"Zhou, J., Wang, H., Cravotta, C., Dong, Q., and Xiang, X., 2017, Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release: Geomicrobiology Journal, v. 34, no. 5, p. 421-433, https://doi.org/10.1080/01490451.2016.1204376.","productDescription":"13 p.","startPage":"421","endPage":"433","ipdsId":"IP-059740","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":352249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d2","contributors":{"authors":[{"text":"Zhou, Jianping","contributorId":202968,"corporation":false,"usgs":false,"family":"Zhou","given":"Jianping","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongmei","contributorId":202967,"corporation":false,"usgs":false,"family":"Wang","given":"Hongmei","email":"","affiliations":[{"id":36565,"text":"Laboratory of Basin Hydrology and Wetland Eco-restoration, China University of Geosciences, Wuhan, 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dong, Qiang","contributorId":202966,"corporation":false,"usgs":false,"family":"Dong","given":"Qiang","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiang, Xing","contributorId":202964,"corporation":false,"usgs":false,"family":"Xiang","given":"Xing","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179853,"text":"70179853 - 2017 - Human footprint affects US carbon balance more than climate change","interactions":[],"lastModifiedDate":"2017-01-19T16:06:14","indexId":"70179853","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Human footprint affects US carbon balance more than climate change","docAbstract":"<p><span>The MC2 model projects an overall increase in carbon capture in conterminous United States during the 21st century while also simulating a rise in fire causing much carbon loss. Carbon sequestration in soils is critical to prevent carbon losses from future disturbances, and we show that natural ecosystems store more carbon belowground than managed systems do. Natural and human-caused disturbances affect soil processes that shape ecosystem recovery and competitive interactions between native, exotics, and climate refugees. Tomorrow's carbon budgets will depend on how land use, natural disturbances, and climate variability will interact and affect the balance between carbon capture and release.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference Module in Earth Systems and Environmental Sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-409548-9.09770-0","usgsCitation":"Bachelet, D., Ferschweiler, K., Sheehan, T., Baker, B., Sleeter, B.M., and Zhu, Z., 2017, Human footprint affects US carbon balance more than climate change, chap. <i>of</i> Reference Module in Earth Systems and Environmental Sciences, https://doi.org/10.1016/B978-0-12-409548-9.09770-0.","ipdsId":"IP-083251","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":333485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881ded3e4b01192927d9f79","contributors":{"authors":[{"text":"Bachelet, Dominique","contributorId":178454,"corporation":false,"usgs":false,"family":"Bachelet","given":"Dominique","affiliations":[],"preferred":false,"id":658956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferschweiler, Ken","contributorId":127604,"corporation":false,"usgs":false,"family":"Ferschweiler","given":"Ken","affiliations":[{"id":7074,"text":"Conservation Biology Institute, Covallis OR","active":true,"usgs":false}],"preferred":false,"id":658957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, Tim","contributorId":178455,"corporation":false,"usgs":false,"family":"Sheehan","given":"Tim","email":"","affiliations":[],"preferred":false,"id":658958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Barry","contributorId":178456,"corporation":false,"usgs":false,"family":"Baker","given":"Barry","email":"","affiliations":[],"preferred":false,"id":658959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":658955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":658960,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195834,"text":"70195834 - 2017 - A global analysis of traits predicting species sensitivity to habitat fragmentation","interactions":[],"lastModifiedDate":"2018-03-06T11:55:14","indexId":"70195834","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"A global analysis of traits predicting species sensitivity to habitat fragmentation","docAbstract":"<p><strong>Aim</strong></p><p>Elucidating patterns in species responses to habitat fragmentation is an important focus of ecology and conservation, but studies are often geographically restricted, taxonomically narrow or use indirect measures of species vulnerability. We investigated predictors of species presence after fragmentation using data from studies around the world that included all four terrestrial vertebrate classes, thus allowing direct inter-taxonomic comparison.</p><p><strong>Location</strong></p><p>World-wide.</p><p><strong>Methods</strong></p><p>We used generalized linear mixed-effect models in an information theoretic framework to assess the factors that explained species presence in remnant habitat patches (3342 patches; 1559 species, mostly birds; and 65,695 records of patch-specific presence–absence). We developed a novel metric of fragmentation sensitivity, defined as the maximum rate of change in probability of presence with changing patch size (‘Peak Change’), to distinguish between general rarity on the landscape and sensitivity to fragmentation per se.</p><p><strong>Results</strong></p><p>Size of remnant habitat patches was the most important driver of species presence. Across all classes, habitat specialists, carnivores and larger species had a lower probability of presence, and those effects were substantially modified by interactions. Sensitivity to fragmentation (measured by Peak Change) was influenced primarily by habitat type and specialization, but also by fecundity, life span and body mass. Reptiles were more sensitive than other classes. Grassland species had a lower probability of presence, though sample size was relatively small, but forest and shrubland species were more sensitive.</p><p><strong>Main conclusions</strong></p><p>Habitat relationships were more important than life-history characteristics in predicting the effects of fragmentation. Habitat specialization increased sensitivity to fragmentation and interacted with class and habitat type; forest specialists and habitat-specific reptiles were particularly sensitive to fragmentation. Our results suggest that when conservationists are faced with disturbances that could fragment habitat they should pay particular attention to specialists, particularly reptiles. Further, our results highlight that the probability of presence in fragmented landscapes and true sensitivity to fragmentation are predicted by different factors.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.12509","usgsCitation":"Keinath, D., Doak, D.F., Hodges, K.E., Prugh, L.R., Fagan, W., Sekercioglu, C., Buchart, S.H., and Kauffman, M., 2017, A global analysis of traits predicting species sensitivity to habitat fragmentation: Global Ecology and Biogeography, v. 26, no. 1, p. 115-127, https://doi.org/10.1111/geb.12509.","productDescription":"13 p.","startPage":"115","endPage":"127","ipdsId":"IP-065257","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/geb.12509","text":"Publisher Index Page"},{"id":352265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-23","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d6","contributors":{"authors":[{"text":"Keinath, Douglas","contributorId":12747,"corporation":false,"usgs":true,"family":"Keinath","given":"Douglas","affiliations":[],"preferred":false,"id":730340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doak, Daniel F.","contributorId":46811,"corporation":false,"usgs":true,"family":"Doak","given":"Daniel","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":730341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Karen E.","contributorId":202978,"corporation":false,"usgs":false,"family":"Hodges","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":730342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prugh, Laura R. 0000-0001-9045-3107","orcid":"https://orcid.org/0000-0001-9045-3107","contributorId":196572,"corporation":false,"usgs":false,"family":"Prugh","given":"Laura","email":"","middleInitial":"R.","affiliations":[{"id":13194,"text":"School of Environmental and Forest Sciences, University of Washington","active":true,"usgs":false}],"preferred":false,"id":730343,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fagan, William F.","contributorId":108239,"corporation":false,"usgs":true,"family":"Fagan","given":"William F.","affiliations":[],"preferred":false,"id":730344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sekercioglu, Cagan H.","contributorId":202979,"corporation":false,"usgs":false,"family":"Sekercioglu","given":"Cagan H.","affiliations":[],"preferred":false,"id":730345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buchart, Stuart H. M.","contributorId":202980,"corporation":false,"usgs":false,"family":"Buchart","given":"Stuart","email":"","middleInitial":"H. M.","affiliations":[],"preferred":false,"id":730346,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":730218,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187008,"text":"70187008 - 2017 - Mudflat morphodynamics and the impact of sea level rise in South San Francisco Bay","interactions":[],"lastModifiedDate":"2017-04-19T10:44:36","indexId":"70187008","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Mudflat morphodynamics and the impact of sea level rise in South San Francisco Bay","docAbstract":"<p><span>Estuarine tidal mudflats form unique habitats and maintain valuable ecosystems. Historic measurements of a mudflat in San Fancsico Bay over the past 150&nbsp;years suggest the development of a rather stable mudflat profile. This raises questions on its origin and governing processes as well as on the mudflats’ fate under scenarios of sea level rise and decreasing sediment supply. We developed a 1D morphodynamic profile model (Delft3D) that is able to reproduce the 2011 measured mudflat profile. The main, schematised, forcings of the model are a constant tidal cycle and constant wave action. The model shows that wave action suspends sediment that is transported landward during flood. A depositional front moves landward until landward bed levels are high enough to carry an equal amount of sediment back during ebb. This implies that, similar to observations, the critical shear stress for erosion is regularly exceeded during the tidal cycle and that modelled equilibrium conditions include high suspended sediment concentrations at the mudflat. Shear stresses are highest during low water, while shear stresses are lower than critical (and highest at the landward end) along the mudflat during high water. Scenarios of sea level rise and decreasing sediment supply drown the mudflat. In addition, the mudflat becomes more prone to channel incision because landward accumulation is hampered. This research suggests that sea level rise is a serious threat to the presence of many estuarine intertidal mudflats, adjacent salt marshes and their associated ecological values.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-016-0129-6","usgsCitation":"Van der Wegen, M., Jaffe, B.E., Foxgrover, A.C., and Roelvink, D., 2017, Mudflat morphodynamics and the impact of sea level rise in South San Francisco Bay: Estuaries and Coasts, v. 40, no. 1, p. 37-49, https://doi.org/10.1007/s12237-016-0129-6.","productDescription":"13 p.","startPage":"37","endPage":"49","ipdsId":"IP-082490","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s12237-016-0129-6","text":"External Repository"},{"id":339935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.19612121582031,\n              37.41325496791442\n            ],\n            [\n              -121.91734313964844,\n              37.41325496791442\n            ],\n            [\n              -121.91734313964844,\n              37.56580695492944\n            ],\n            [\n              -122.19612121582031,\n              37.56580695492944\n            ],\n            [\n              -122.19612121582031,\n              37.41325496791442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-12","publicationStatus":"PW","scienceBaseUri":"58f877ade4b0b7ea54521c00","contributors":{"authors":[{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":691859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":691858,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":691860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roelvink, Dano","contributorId":139950,"corporation":false,"usgs":false,"family":"Roelvink","given":"Dano","email":"","affiliations":[{"id":13328,"text":"UNESCO-IHE","active":true,"usgs":false}],"preferred":false,"id":691861,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187262,"text":"70187262 - 2017 - An integrated moral obligation model for landowner conservation norms","interactions":[],"lastModifiedDate":"2017-04-27T11:10:16","indexId":"70187262","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3404,"text":"Society & Natural Resources: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"An integrated moral obligation model for landowner conservation norms","docAbstract":"<p><span>This study applies an integrated moral obligation model to examine the role of environmental and cultural values, and beliefs in the activation of landowner conservation norms. Data for this study were collected through a self-administered survey of riparian landowners in two Minnesota watersheds: Sand Creek and Vermillion River watersheds. Study findings suggest that collectivistic and biospheric–altruistic values form the bases for the activation of personal norms. Further, beliefs about local responsibility and ability to act influence personal norms to protect water resources. Findings suggest that landowners’ personal norms of water conservation are more likely to be activated by conservation strategies that appeal to biospheric–altruistic and collectivistic values, emphasize adverse consequences of water pollution, highlight water resource protection as a local responsibility, and provide the resources needed to protect water resources.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2016.1239289","usgsCitation":"Pradhananga, A.K., Davenport, M.A., Fulton, D.C., Maruyama, G.M., and Current, D., 2017, An integrated moral obligation model for landowner conservation norms: Society & Natural Resources: An International Journal, v. 30, no. 2, p. 212-227, https://doi.org/10.1080/08941920.2016.1239289.","productDescription":"16 p.","startPage":"212","endPage":"227","ipdsId":"IP-056505","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71d","contributors":{"authors":[{"text":"Pradhananga, Amit K.","contributorId":191478,"corporation":false,"usgs":false,"family":"Pradhananga","given":"Amit","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Mae A.","contributorId":191479,"corporation":false,"usgs":false,"family":"Davenport","given":"Mae","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maruyama, Geoffrey M.","contributorId":191480,"corporation":false,"usgs":false,"family":"Maruyama","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Current, Dean","contributorId":191481,"corporation":false,"usgs":false,"family":"Current","given":"Dean","email":"","affiliations":[],"preferred":false,"id":693182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185059,"text":"70185059 - 2017 - Spatio-temporal development of vegetation die-off in a submerging coastal marsh","interactions":[],"lastModifiedDate":"2017-03-13T15:26:46","indexId":"70185059","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal development of vegetation die-off in a submerging coastal marsh","docAbstract":"<p><span>In several places around the world, coastal marsh vegetation is converting to open water through the formation of pools. This is concerning, as vegetation die-off is expected to reduce the marshes' capacity to adapt to sea level rise by vegetation-induced sediment accretion. Quantitative analyses of the spatial and temporal development of marsh vegetation die-off are scarce, although these are needed to understand the bio-geomorphic feedback effects of vegetation die-off on flow, erosion, and sedimentation. In this study, we quantified the spatial and temporal development of marsh vegetation die-off with aerial images from 1938 to 2010 in a submerging coastal marsh along the Blackwater River (Maryland, U.S.A). Our results indicate that die-off begins with conversion of marsh vegetation into bare open water pools that are relatively far (&gt; 75 m) from tidal channels. As vegetation die-off continues, pools expand, and new pools emerge at shorter and shorter distances from channels. Consequently larger pools are found at larger distances from the channels. Our results suggest that the size of the pools and possibly the connection of pools with the tidal channel system have important bio-geomorphic implications and aggravate marsh deterioration. Moreover, we found that the temporal development of vegetation die-off in moderately degraded marshes is similar as the spatial die-off development along a present-day gradient, which indicates that the contemporary die-off gradient might be considered a chronosequence that offers a unique opportunity to study vegetation die-off processes.</span></p>","language":"English","publisher":"ASLO","doi":"10.1002/lno.10381","usgsCitation":"Schepers, L., Kirwan, M.L., Guntenspergen, G.R., and Temmerman, S., 2017, Spatio-temporal development of vegetation die-off in a submerging coastal marsh: Limnology and Oceanography, v. 62, no. 1, p. 137-150, https://doi.org/10.1002/lno.10381.","productDescription":"14 p.","startPage":"137","endPage":"150","ipdsId":"IP-076687","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470180,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":337461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e6e","contributors":{"authors":[{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":684110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":684112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":684109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":684111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70185061,"text":"70185061 - 2017 - Behavioral connectivity among bighorn sheep suggests potential for disease spread","interactions":[],"lastModifiedDate":"2017-03-13T17:02:55","indexId":"70185061","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral connectivity among bighorn sheep suggests potential for disease spread","docAbstract":"<p><span>Connectivity is important for population persistence and can reduce the potential for inbreeding depression. Connectivity between populations can also facilitate disease transmission; respiratory diseases are one of the most important factors affecting populations of bighorn sheep (</span><i>Ovis canadensis</i><span>). The mechanisms of connectivity in populations of bighorn sheep likely have implications for spread of disease, but the behaviors leading to connectivity between bighorn sheep groups are not well understood. From 2007–2012, we radio-collared and monitored 56 bighorn sheep in the Salmon River canyon in central Idaho. We used cluster analysis to define social groups of bighorn sheep and then estimated connectivity between these groups using a multi-state mark-recapture model. Social groups of bighorn sheep were spatially segregated and linearly distributed along the Salmon River canyon. Monthly probabilities of movement between adjacent male and female groups ranged from 0.08 (±0.004 SE) to 0.76 (±0.068) for males and 0.05 (±0.132) to 0.24 (±0.034) for females. Movements of males were extensive and probabilities of movement were considerably higher during the rut. Probabilities of movement for females were typically smaller than those of males and did not change seasonally. Whereas adjacent groups of bighorn sheep along the Salmon River canyon were well connected, connectivity between groups north and south of the Salmon River was limited. The novel application of a multi-state model to a population of bighorn sheep allowed us to estimate the probability of movement between adjacent social groups and approximate the level of connectivity across the population. Our results suggest high movement rates of males during the rut are the most likely to result in transmission of pathogens among both male and female groups. Potential for disease spread among female groups was smaller but non-trivial. Land managers can plan grazing of domestic sheep for spring and summer months when males are relatively inactive. Removal or quarantine of social groups may reduce probability of disease transmission in populations of bighorn sheep consisting of linearly distributed social groups.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21169","usgsCitation":"Borg, N.J., Mitchell, M.S., Lukacs, P.M., Mack, C.M., Waits, L.P., and Krausman, P.R., 2017, Behavioral connectivity among bighorn sheep suggests potential for disease spread: Journal of Wildlife Management, v. 81, no. 1, p. 38-45, https://doi.org/10.1002/jwmg.21169.","productDescription":"8 p.","startPage":"38","endPage":"45","ipdsId":"IP-076975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"58c7af9ae4b0849ce9795e6c","contributors":{"authors":[{"text":"Borg, Nathan","contributorId":189236,"corporation":false,"usgs":false,"family":"Borg","given":"Nathan","affiliations":[],"preferred":false,"id":684118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Curt M.","contributorId":58948,"corporation":false,"usgs":true,"family":"Mack","given":"Curt","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":684121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"<p>Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, <i>in</i> Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191108,"text":"70191108 - 2017 - Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking","interactions":[],"lastModifiedDate":"2018-03-28T11:13:26","indexId":"70191108","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking","docAbstract":"<p><span>Many ecosystems continue to experience rapid transformations due to processes like land use change and resource extraction. A systems approach to maintaining natural resources focuses on how interactions and feedbacks among components of complex social‐ecological systems generate social and ecological outcomes. In recreational fisheries, residential shoreline development and fish stocking are two widespread human behaviors that influence fisheries, yet emergent social‐ecological outcomes from these potentially interacting behaviors remain under explored. We applied a social‐ecological systems framework using a simulation model and empirical data to determine whether lakeshore development is likely to promote stocking through its adverse effects on coarse woody habitat and thereby also on survival of juvenile and adult fish. We demonstrate that high lakeshore development is likely to generate dependency of the ecosystem on the social system, in the form of stocking. Further, lakeshore development can interact with social‐ecological processes to create deficits for state‐level governments, which threatens the ability to fund further ecosystem subsidies. Our results highlight the value of a social‐ecological framework for maintaining ecosystem services like recreational fisheries.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1433","usgsCitation":"Ziegler, J.P., Golebie, E.J., Jones, S., Weidel, B., and Solomon, C.T., 2017, Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking: Ecological Applications, v. 27, no. 1, p. 56-65, https://doi.org/10.1002/eap.1433.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-070202","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":346109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"59cb672fe4b017cf3141c687","contributors":{"authors":[{"text":"Ziegler, Jacob P.","contributorId":196715,"corporation":false,"usgs":false,"family":"Ziegler","given":"Jacob","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":711247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golebie, Elizabeth J.","contributorId":196716,"corporation":false,"usgs":false,"family":"Golebie","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":711249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":711250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":711251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194309,"text":"70194309 - 2017 - Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists","interactions":[],"lastModifiedDate":"2017-11-22T11:44:21","indexId":"70194309","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists","docAbstract":"<p><span>We present landscape simulation results contrasting effects of changing climates on forest vegetation and fire regimes in Yellowstone National Park, USA, by mid-21st century. We simulated potential changes to fire dynamics and forest characteristics under three future climate projections representing a range of potential future conditions using the FireBGCv2 model. Under the future climate scenarios with moderate warming (&gt;2°C) and moderate increases in precipitation (3–5%), model simulations resulted in 1.2–4.2 times more burned area, decreases in forest cover (10–44%), and reductions in basal area (14–60%). In these same scenarios, lodgepole pine (</span><i>Pinus contorta</i><span>) decreased in basal area (18–41%), while Douglas-fir (</span><i>Pseudotsuga menziesii</i><span>) basal area increased (21–58%). Conversely, mild warming (&lt;2°C) coupled with&nbsp;greater increases in precipitation (12–13%) suggested an increase in forest cover and basal area by mid-century, with spruce and subalpine fir increasing in abundance. Overall, we found changes in forest tree species compositions were caused by the climate-mediated changes in fire regime (56–315% increase in annual area burned). Simulated changes in forest composition and fire regime under warming climates portray a landscape that shifts from lodgepole pine to Douglas-fir caused by the interaction between the magnitude and seasonality of future climate changes, by climate-induced changes in the frequency and intensity of wildfires, and by tree species response.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1636","usgsCitation":"Clark, J.A., Loehman, R.A., and Keane, R.E., 2017, Climate changes and wildfire alter vegetation of Yellowstone National Park, but forest cover persists: Ecosphere, v. 8, no. 1, e01636; 16 p., https://doi.org/10.1002/ecs2.1636.","productDescription":"e01636; 16 p.","ipdsId":"IP-074562","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":461809,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1636","text":"Publisher Index Page"},{"id":349270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.0498046875,\n              44.44750680513074\n            ],\n            [\n              -110.3082275390625,\n              44.44750680513074\n            ],\n            [\n              -110.3082275390625,\n              44.99394031891056\n            ],\n            [\n              -111.0498046875,\n              44.99394031891056\n            ],\n            [\n              -111.0498046875,\n              44.44750680513074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-25","publicationStatus":"PW","scienceBaseUri":"5a60fc3ce4b06e28e9c23be4","contributors":{"authors":[{"text":"Clark, Jason A.","contributorId":168604,"corporation":false,"usgs":false,"family":"Clark","given":"Jason","email":"","middleInitial":"A.","affiliations":[{"id":16761,"text":"Institute of Northern Engineering, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":723214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":723213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keane, Robert E.","contributorId":200723,"corporation":false,"usgs":false,"family":"Keane","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":723215,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179335,"text":"70179335 - 2017 - Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest","interactions":[],"lastModifiedDate":"2017-11-22T17:06:11","indexId":"70179335","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest","docAbstract":"<p><span>Climate niche models project that subalpine forest ranges will extend upslope with climate warming. These projections assume that the climate suitable for adult trees will be adequate for forest regeneration, ignoring climate requirements for seedling recruitment, a potential demographic bottleneck. Moreover, local genetic adaptation is expected to facilitate range expansion, with tree populations at the upper forest edge providing the seed best adapted to the alpine. Here, we test these expectations using a novel combination of common gardens, seeded with two widely distributed subalpine conifers, and climate manipulations replicated at three elevations. Infrared heaters raised temperatures in heated plots, but raised temperatures more in the forest than at or above treeline because strong winds at high elevation reduced heating efficiency. Watering increased season-average soil moisture similarly across sites. Contrary to expectations, warming reduced Engelmann spruce recruitment at and above treeline, as well as in the forest. Warming reduced limber pine first-year recruitment in the forest, but had no net effect on fourth-year recruitment at any site. Watering during the snow-free season alleviated some negative effects of warming, indicating that warming exacerbated water limitations. Contrary to expectations of local adaptation, low-elevation seeds of both species initially recruited more strongly than high-elevation seeds across the elevation gradient, although the low-provenance advantage diminished by the fourth year for Engelmann spruce, likely due to small sample sizes. High- and low-elevation provenances responded similarly to warming across sites for Engelmann spruce, but differently for limber pine. In the context of increasing tree mortality, lower recruitment at all elevations with warming, combined with lower quality, high-provenance seed being most available for colonizing the alpine, portends range contraction for Engelmann spruce. The lower sensitivity of limber pine to warming indicates a potential for this species to become more important in subalpine forest communities in the coming centuries.</span></p>","language":"English","publisher":"Blackwell Science","publisherLocation":"Oxford, England","doi":"10.1111/gcb.13561","usgsCitation":"Kueppers, L.M., Conlisk, E., Castanha, C., Moyes, A.B., Germino, M., de Valpine, P., Torn, M.S., and Mitton, J.B., 2017, Warming and provenance limit tree recruitment across and beyond the elevation range of subalpine forest: Global Change Biology, v. 23, no. 6, p. 2383-2395, https://doi.org/10.1111/gcb.13561.","productDescription":"13 p.","startPage":"2383","endPage":"2395","ipdsId":"IP-067087","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":461813,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.13561","text":"Publisher Index Page"},{"id":332618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Niwot Ridge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.54153442382812,\n              40.067956744086096\n            ],\n            [\n              -105.54393768310547,\n              40.038260817438776\n            ],\n            [\n              -105.5595588684082,\n              40.04141498122656\n            ],\n            [\n              -105.56625366210936,\n              40.04312342569046\n            ],\n            [\n              -105.57638168334961,\n              40.04588313016049\n            ],\n            [\n              -105.58170318603514,\n              40.04864272291728\n            ],\n            [\n              -105.58307647705078,\n              40.05113940105385\n            ],\n            [\n              -105.58753967285156,\n              40.05297900010992\n            ],\n            [\n              -105.5954360961914,\n              40.054949943999496\n            ],\n            [\n              -105.60298919677734,\n              40.05665804926404\n            ],\n            [\n              -105.61140060424805,\n              40.05849749936099\n            ],\n            [\n              -105.61689376831053,\n              40.0594172057892\n            ],\n            [\n              -105.62118530273436,\n              40.059679976774355\n            ],\n            [\n              -105.62788009643555,\n              40.057183611501316\n            ],\n            [\n              -105.63028335571289,\n              40.056789440203374\n            ],\n            [\n              -105.63302993774414,\n              40.055869698308086\n            ],\n            [\n              -105.63199996948241,\n              40.0594172057892\n            ],\n            [\n              -105.62667846679688,\n              40.06204487003948\n            ],\n            [\n              -105.62049865722655,\n              40.064409681221484\n            ],\n            [\n              -105.6119155883789,\n              40.0651979333746\n            ],\n            [\n              -105.60728073120117,\n              40.064015551724765\n            ],\n            [\n              -105.59698104858398,\n              40.065723429743045\n            ],\n            [\n              -105.58977127075195,\n              40.06782537468094\n            ],\n            [\n              -105.5844497680664,\n              40.06598617640718\n            ],\n            [\n              -105.57912826538086,\n              40.065723429743045\n            ],\n            [\n              -105.57449340820311,\n              40.065460682065535\n            ],\n            [\n              -105.56951522827147,\n              40.06270177026818\n            ],\n            [\n              -105.5624771118164,\n              40.062307630891\n            ],\n            [\n              -105.55269241333008,\n              40.06296452858627\n            ],\n            [\n              -105.545654296875,\n              40.06506655864912\n            ],\n            [\n              -105.54153442382812,\n              40.067956744086096\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-15","publicationStatus":"PW","scienceBaseUri":"58662f11e4b0cd2dabe7c4ad","contributors":{"authors":[{"text":"Kueppers, Lara M.","contributorId":89778,"corporation":false,"usgs":false,"family":"Kueppers","given":"Lara","email":"","middleInitial":"M.","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":656836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conlisk, Erin","contributorId":149404,"corporation":false,"usgs":false,"family":"Conlisk","given":"Erin","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":656837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castanha, Cristina","contributorId":177737,"corporation":false,"usgs":false,"family":"Castanha","given":"Cristina","email":"","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":656838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moyes, Andrew B.","contributorId":66981,"corporation":false,"usgs":false,"family":"Moyes","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false},{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":656839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Germino, Matthew J. 0000-0001-6326-7579 mgermino@usgs.gov","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":152582,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","email":"mgermino@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":656835,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"de Valpine, Perry","contributorId":177739,"corporation":false,"usgs":false,"family":"de Valpine","given":"Perry","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":656840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torn, Margaret S.","contributorId":28179,"corporation":false,"usgs":false,"family":"Torn","given":"Margaret","email":"","middleInitial":"S.","affiliations":[{"id":6670,"text":"Lawrence Berkeley National Laboratory, Berkeley, CA","active":true,"usgs":false},{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":656841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mitton, Jeffry B.","contributorId":177741,"corporation":false,"usgs":false,"family":"Mitton","given":"Jeffry","email":"","middleInitial":"B.","affiliations":[{"id":6713,"text":"University of Colorado, Boulder CO","active":true,"usgs":false}],"preferred":false,"id":656843,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179284,"text":"70179284 - 2017 - The practice of prediction: What can ecologists learn from applied, ecology-related fields?","interactions":[],"lastModifiedDate":"2017-12-11T14:01:21","indexId":"70179284","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"The practice of prediction: What can ecologists learn from applied, ecology-related fields?","docAbstract":"<p><span>The pervasive influence of human induced global environmental change affects biodiversity across the globe, and there is great uncertainty as to how the biosphere will react on short and longer time scales. To adapt to what the future holds and to manage the impacts of global change, scientists need to predict the expected effects with some confidence and communicate these predictions to policy makers. However, recent reviews found that we currently lack a clear understanding of how predictable ecology is, with views seeing it as mostly unpredictable to potentially predictable, at least over short time frames. However, in applied, ecology-related fields predictions are more commonly formulated and reported, as well as evaluated in hindsight, potentially allowing one to define baselines of predictive proficiency in these fields. We searched the literature for representative case studies in these fields and collected information about modeling approaches, target variables of prediction, predictive proficiency achieved, as well as the availability of data to parameterize predictive models. We find that some fields such as epidemiology achieve high predictive proficiency, but even in the more predictive fields proficiency is evaluated in different ways. Both phenomenological and mechanistic approaches are used in most fields, but differences are often small, with no clear superiority of one approach over the other. Data availability is limiting in most fields, with long-term studies being rare and detailed data for parameterizing mechanistic models being in short supply. We suggest that ecologists adopt a more rigorous approach to report and assess predictive proficiency, and embrace the challenges of real world decision making to strengthen the practice of prediction in ecology.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2016.12.005","usgsCitation":"Pennekamp, F., Adamson, M., Petchey, O.L., Poggiale, J., Aguiar, M., Kooi, B.W., Botkin, D.B., and DeAngelis, D.L., 2017, The practice of prediction: What can ecologists learn from applied, ecology-related fields?: Ecological Complexity, v. 32, no. B, p. 156-167, https://doi.org/10.1016/j.ecocom.2016.12.005.","productDescription":"12 p.","startPage":"156","endPage":"167","onlineOnly":"Y","ipdsId":"IP-074291","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5167/uzh-134675","text":"Publisher Index Page"},{"id":332565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"B","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd4de4b0cd2dabe7c1c9","contributors":{"authors":[{"text":"Pennekamp, Frank","contributorId":177677,"corporation":false,"usgs":false,"family":"Pennekamp","given":"Frank","email":"","affiliations":[],"preferred":false,"id":656646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamson, Matthew","contributorId":177678,"corporation":false,"usgs":false,"family":"Adamson","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":656647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petchey, Owen L","contributorId":177679,"corporation":false,"usgs":false,"family":"Petchey","given":"Owen","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":656648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poggiale, Jean-Christophe","contributorId":177680,"corporation":false,"usgs":false,"family":"Poggiale","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":656649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguiar, Maira","contributorId":177681,"corporation":false,"usgs":false,"family":"Aguiar","given":"Maira","email":"","affiliations":[],"preferred":false,"id":656650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kooi, Bob W.","contributorId":152069,"corporation":false,"usgs":false,"family":"Kooi","given":"Bob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":656651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":656652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":656645,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179186,"text":"70179186 - 2017 - Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","interactions":[],"lastModifiedDate":"2018-10-29T09:03:40","indexId":"70179186","displayToPublicDate":"2016-12-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA","docAbstract":"<p><span>The coincidence of a number of geologic and climatic factors combined to create conditions favorable for the development of mineable concentrations of uranium hosted by Eocene through Pliocene sandstones in the Texas Coastal Plain. Here 254 uranium occurrences, including 169 deposits, 73 prospects, 6 showings and 4 anomalies, have been identified. About 80&nbsp;million pounds of U</span><sub>3</sub><span>O</span><sub>8</sub><span> have been produced and about 60&nbsp;million pounds of identified producible U</span><sub>3</sub><span>O</span><sub>8</sub><span> remain in place. The development of economic roll-type uranium deposits requires a source, large-scale transport of uranium in groundwater, and deposition in reducing zones within a sedimentary sequence. The weight of the evidence supports a source from thick sequences of volcanic ash and volcaniclastic sediment derived mostly from the Trans-Pecos volcanic field and Sierra Madre Occidental that lie west of the region. The thickest accumulations of source material were deposited and preserved south and west of the San Marcos arch in the Catahoula Formation. By the early Oligocene, a formerly uniformly subtropical climate along the Gulf Coast transitioned to a zoned climate in which the southwestern portion of Texas Coastal Plain was dry, and the eastern portion humid. The more arid climate in the southwestern area supported weathering of volcanic ash source rocks during pedogenesis and early diagenesis, concentration of uranium in groundwater and movement through host sediments. During the middle Tertiary Era, abundant clastic sediments were deposited in thick sequences by bed-load dominated fluvial systems in long-lived channel complexes that provided transmissive conduits favoring transport of uranium-rich groundwater. Groundwater transported uranium through permeable sandstones that were hydrologically connected with source rocks, commonly across formation boundaries driven by isostatic loading and eustatic sea level changes. Uranium roll fronts formed as a result of the interaction of uranium-rich groundwater with either (1) organic-rich debris adjacent to large long-lived fluvial channels and barrier–bar sequences or (2) extrinsic reductants entrained in formation water or discrete gas that migrated into host units via faults and along the flanks of salt domes and shale diapirs. The southwestern portion of the region, the Rio Grande embayment, contains all the necessary factors required for roll-type uranium deposits. However, the eastern portion of the region, the Houston embayment, is challenged by a humid environment and a lack of source rock and transmissive units, which may combine to preclude the deposition of economic deposits. A grade and tonnage model for the Texas Coastal Plain shows that the Texas deposits represent a lower tonnage subset of roll-type deposits that occur around the world, and required aggregation of production centers into deposits based on geologic interpretation for the purpose of conducting a quantitative mineral resource assessment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.06.013","usgsCitation":"Hall, S.M., Mihalasky, M.J., Tureck, K., Hammarstrom, J.M., and Hannon, M., 2017, Genetic and grade and tonnage models for sandstone-hosted roll-type uranium deposits, Texas Coastal Plain, USA: Ore Geology Reviews, v. 80, p. 716-753, https://doi.org/10.1016/j.oregeorev.2016.06.013.","productDescription":"38 p.","startPage":"716","endPage":"753","ipdsId":"IP-068572","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":332408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Texas Coastal Plain","volume":"80","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585ba2e5e4b01224f329b966","contributors":{"authors":[{"text":"Hall, Susan M. 0000-0002-0931-8694 susanhall@usgs.gov","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":2481,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","email":"susanhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":656301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":false,"id":656303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tureck, Kathleen ktureck@usgs.gov","contributorId":177591,"corporation":false,"usgs":true,"family":"Tureck","given":"Kathleen","email":"ktureck@usgs.gov","affiliations":[],"preferred":true,"id":656304,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":656302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hannon, Mark mhannon@usgs.gov","contributorId":177592,"corporation":false,"usgs":true,"family":"Hannon","given":"Mark","email":"mhannon@usgs.gov","affiliations":[],"preferred":true,"id":656305,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70180999,"text":"70180999 - 2017 - Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors","interactions":[],"lastModifiedDate":"2017-02-16T14:36:58","indexId":"70180999","displayToPublicDate":"2016-12-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors","docAbstract":"<p><span>Countries committed to implementing the Convention on Biological Diversity's 2011–2020 strategic plan need effective tools to monitor global trends in biodiversity. Remote cameras are a rapidly growing technology that has great potential to transform global monitoring for terrestrial biodiversity and can be an important contributor to the call for measuring Essential Biodiversity Variables. Recent advances in camera technology and methods enable researchers to estimate changes in abundance and distribution for entire communities of animals and to identify global drivers of biodiversity trends. We suggest that interconnected networks of remote cameras will soon monitor biodiversity at a global scale, help answer pressing ecological questions, and guide conservation policy. This global network will require greater collaboration among remote-camera studies and citizen scientists, including standardized metadata, shared protocols, and security measures to protect records about sensitive species. With modest investment in infrastructure, and continued innovation, synthesis, and collaboration, we envision a global network of remote cameras that not only provides real-time biodiversity data but also serves to connect people with nature.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1448","usgsCitation":"Steenweg, R., Hebblewhite, M., Kays, R., Ahumada, J.A., Fisher, J.T., Burton, C., Townsend, S.E., Carbone, C., Rowcliffe, J.M., Whittington, J., Brodie, J., Royle, A., Switalski, A., Clevenger, A.P., Heim, N., and Rich, L.N., 2017, Scaling-up camera traps: monitoring the planet's biodiversity with networks of remote sensors: Frontiers in Ecology and the Environment, v. 15, no. 1, p. 26-34, https://doi.org/10.1002/fee.1448.","productDescription":"9 p.","startPage":"26","endPage":"34","ipdsId":"IP-074156","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.1448","text":"Publisher Index Page"},{"id":335182,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"589ffefae4b099f50d3e0443","contributors":{"authors":[{"text":"Steenweg, Robin","contributorId":179366,"corporation":false,"usgs":false,"family":"Steenweg","given":"Robin","email":"","affiliations":[],"preferred":false,"id":663393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":663394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kays, Roland","contributorId":83815,"corporation":false,"usgs":true,"family":"Kays","given":"Roland","affiliations":[],"preferred":false,"id":663395,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahumada, Jorge A.","contributorId":14788,"corporation":false,"usgs":true,"family":"Ahumada","given":"Jorge","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":663396,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Jason T.","contributorId":179367,"corporation":false,"usgs":false,"family":"Fisher","given":"Jason","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":663397,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burton, Cole","contributorId":179368,"corporation":false,"usgs":false,"family":"Burton","given":"Cole","email":"","affiliations":[],"preferred":false,"id":663398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Townsend, Susan E.","contributorId":179369,"corporation":false,"usgs":false,"family":"Townsend","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":663399,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carbone, Chris","contributorId":179370,"corporation":false,"usgs":false,"family":"Carbone","given":"Chris","email":"","affiliations":[],"preferred":false,"id":663400,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowcliffe, J. Marcus","contributorId":179371,"corporation":false,"usgs":false,"family":"Rowcliffe","given":"J.","email":"","middleInitial":"Marcus","affiliations":[],"preferred":false,"id":663401,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whittington, Jesse","contributorId":179372,"corporation":false,"usgs":false,"family":"Whittington","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":663402,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brodie, Jedediah","contributorId":63706,"corporation":false,"usgs":true,"family":"Brodie","given":"Jedediah","affiliations":[],"preferred":false,"id":663403,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":663153,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Switalski, Adam","contributorId":179373,"corporation":false,"usgs":false,"family":"Switalski","given":"Adam","email":"","affiliations":[],"preferred":false,"id":663404,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Clevenger, Anthony P.","contributorId":113259,"corporation":false,"usgs":true,"family":"Clevenger","given":"Anthony","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":663405,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Heim, Nicole","contributorId":179374,"corporation":false,"usgs":false,"family":"Heim","given":"Nicole","email":"","affiliations":[],"preferred":false,"id":663406,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rich, Lindsey N.","contributorId":42119,"corporation":false,"usgs":true,"family":"Rich","given":"Lindsey","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":663407,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70179127,"text":"70179127 - 2017 - Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls","interactions":[],"lastModifiedDate":"2016-12-19T09:10:36","indexId":"70179127","displayToPublicDate":"2016-12-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls","docAbstract":"<p><span>Environmental contaminants are a concern for animal health, but contaminant exposure can also be used as a tracer of foraging ecology. In particular, mercury (Hg) concentrations are highly variable among aquatic and terrestrial food webs as a result of habitat- and site-specific biogeochemical processes that produce the bioaccumulative form, methylmercury (MeHg). We used stable isotopes and total Hg (THg) concentrations of a generalist consumer, the California gull (</span><i>Larus californicus</i><span>), to examine foraging ecology and illustrate the utility of using Hg contamination as an ecological tracer under certain conditions. We identified four main foraging clusters of gulls during pre-breeding and breeding, using a traditional approach based on light stable isotopes. The foraging cluster with the highest </span><i>δ</i><sup>15</sup><span>N and </span><i>δ</i><sup>34</sup><span>S values in gulls (cluster 4) had mean blood THg concentrations 614% (pre-breeding) and 250% (breeding) higher than gulls with the lowest isotope values (cluster 1). Using a traditional approach of stable-isotope mixing models, we showed that breeding birds with a higher proportion of garbage in their diet (cluster 2: 63–82% garbage) corresponded to lower THg concentrations and lower </span><i>δ</i><sup>15</sup><span>N and </span><i>δ</i><sup>34</sup><span>S values. In contrast, gull clusters with higher THg concentrations, which were more enriched in </span><sup>15</sup><span>N and </span><sup>34</sup><span>S isotopes, consumed a higher proportion of more natural, estuarine prey. </span><i>δ</i><sup>34</sup><span>S values, which change markedly across the terrestrial to marine habitat gradient, were positively correlated with blood THg concentrations in gulls. The linkage we observed between stable isotopes and THg concentrations suggests that Hg contamination can be used as an additional tool for understanding animal foraging across coastal habitat gradients.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2016.11.025","usgsCitation":"Peterson, S.H., Ackerman, J., and Eagles-Smith, C.A., 2017, Mercury contamination and stable isotopes reveal variability in foraging ecology of generalist California gulls: Ecological Indicators, v. 74, p. 205-215, https://doi.org/10.1016/j.ecolind.2016.11.025.","productDescription":"11 p.","startPage":"205","endPage":"215","ipdsId":"IP-077576","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":332261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58590003e4b03639a6025e1d","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":656109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":656108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":656110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206542,"text":"70206542 - 2017 - Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","interactions":[],"lastModifiedDate":"2019-11-08T09:55:46","indexId":"70206542","displayToPublicDate":"2016-12-16T09:51:10","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula","docAbstract":"<p><span>The lack of landmasses, climatological low pressure, and strong circumpolar westerly winds between the latitudes of 50°S to 65°S produce exceptional storm‐driven wave conditions in the Southern Ocean. This combination makes the Antarctic Peninsula one of Earth's most notable regions of high‐amplitude wave activity and thus, ocean‐swell‐driven microseism noise in both the primary (direct wave‐coastal region interactions) and secondary (direct ocean floor forcing due to interacting wave trains) period bands. Microseism observations are examined across 23&nbsp;years (1993–2015) from Palmer Station (PMSA), on the west coast of the Antarctic Peninsula, and from East Falkland Island (EFI). These records provide a spatially integrative measure of both Southern Ocean wave amplitudes and the interactions between ocean waves and the solid Earth in the presence of sea ice, which can reduce wave coupling with the continental shelf. We utilize a spatiotemporal correlation‐based approach to illuminate how the distribution of sea ice influences seasonal microseism power. We characterize primary and secondary microseism power due to variations in sea ice and find that primary microseism energy is both more sensitive to sea ice and more capable of propagating across ocean basins than secondary microseism energy. During positive phases of the Southern Annular Mode, sea ice is reduced in the Bellingshausen Sea and overall storm activity in the Drake Passage increases, thus strongly increasing microseism power levels.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JF004098","usgsCitation":"Anthony, R.E., Aster, R.C., and Mcgrath, D., 2017, Links between atmosphere, ocean, and cryosphere from two decades of microseism observations on the Antarctic Peninsula: Journal of Geophysical Research: Earth Surface, v. 122, no. 1, p. 153-166, https://doi.org/10.1002/2016JF004098.","productDescription":"14 p.","startPage":"153","endPage":"166","ipdsId":"IP-080931","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":470192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jf004098","text":"Publisher Index Page"},{"id":369085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Antarctica","otherGeospatial":"Antarctic Penninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.296875,\n              -82.9403268016951\n            ],\n            [\n              2.4609375,\n              -82.9403268016951\n            ],\n            [\n              2.4609375,\n              -60.32694774299839\n            ],\n            [\n              -89.296875,\n              -60.32694774299839\n            ],\n            [\n              -89.296875,\n              -82.9403268016951\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"122","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E.","contributorId":220411,"corporation":false,"usgs":false,"family":"Anthony","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":774918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":774919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":774917,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179084,"text":"70179084 - 2017 - Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern","interactions":[],"lastModifiedDate":"2017-02-24T10:47:05","indexId":"70179084","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern","docAbstract":"<p><span>Contaminant exposure of tree swallows, </span><i>Tachycineta bicolor</i><span>, nesting in 27 Areas of Concern (AOCs) in the Great Lakes basin was assessed from 2010 to 2014 to assist managers and regulators in their assessments of Great Lakes AOCs. Contaminant concentrations in nestlings from AOCs were compared with those in nestlings from nearby non-AOC sites. Polychlorinated biphenyl (PCB) and polybrominated diphenyl ether concentrations in tree swallow nestling carcasses at 30% and 33% of AOCs, respectively, were below the mean concentration for non-AOCs. Polycyclic aromatic hydrocarbon (PAH) concentrations in nestling stomach contents and perfluorinated compound concentrations in nestling plasma at 67% and 64% of AOCs, respectively, were below the mean concentration for non-AOCs. Concentrations of PCBs in nestling carcasses were elevated at some AOCs but modest compared with highly PCB-contaminated sites where reproductive effects have been documented. Concentrations of PAHs in diet were sufficiently elevated at some AOCs to elicit a measurable physiological response. Among AOCs, concentrations of the perfluorinated compound perfluorooctane sulfonate in plasma were the highest on the River Raisin (MI, USA; geometric mean 330 ng/mL) but well below an estimated toxicity reference value (1700 ng/mL). Both PAH and PCB concentrations in nestling stomach contents and PCBs in carcasses were significantly correlated with concentrations in sediment previously reported, thereby reinforcing the utility of tree swallows to assess bioavailability of sediment contamination.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3598","usgsCitation":"Custer, T.W., Custer, C.M., Dummer, P.M., Goldberg, D.R., Franson, J.C., and Erickson, R.A., 2017, Organic contamination in tree swallow (<i>Tachycineta bicolor</i>) nestlings at United States and binational great Lakes Areas of Concern: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 735-748, https://doi.org/10.1002/etc.3598.","productDescription":"14 p.","startPage":"735","endPage":"748","ipdsId":"IP-073356","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-19","publicationStatus":"PW","scienceBaseUri":"5853ba38e4b0e2663625f2aa","contributors":{"authors":[{"text":"Custer, Thomas W. 0000-0003-3170-6519 tcuster@usgs.gov","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":2835,"corporation":false,"usgs":true,"family":"Custer","given":"Thomas","email":"tcuster@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldberg, Diana R. 0000-0001-8540-8512 dgoldberg@usgs.gov","orcid":"https://orcid.org/0000-0001-8540-8512","contributorId":5739,"corporation":false,"usgs":true,"family":"Goldberg","given":"Diana","email":"dgoldberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":655978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":177499,"corporation":false,"usgs":true,"family":"Franson","given":"J.","email":"jfranson@usgs.gov","middleInitial":"Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":655979,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655980,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179088,"text":"70179088 - 2017 - A multimodal wave spectrum-based approach for statistical downscaling of local wave climate","interactions":[],"lastModifiedDate":"2017-02-24T10:48:29","indexId":"70179088","displayToPublicDate":"2016-12-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2426,"text":"Journal of Physical Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"A multimodal wave spectrum-based approach for statistical downscaling of local wave climate","docAbstract":"<p><span>Characterization of wave climate by bulk wave parameters is insufficient for many coastal studies, including those focused on assessing coastal hazards and long-term wave climate influences on coastal evolution. This issue is particularly relevant for studies using statistical downscaling of atmospheric fields to local wave conditions, which are often multimodal in large ocean basins (e.g. the Pacific). Swell may be generated in vastly different wave generation regions, yielding complex wave spectra that are inadequately represented by a single set of bulk wave parameters. Furthermore, the relationship between atmospheric systems and local wave conditions is complicated by variations in arrival time of wave groups from different parts of the basin. Here, we address these two challenges by improving upon the spatiotemporal definition of the atmospheric predictor used in statistical downscaling of local wave climate. The improved methodology separates the local wave spectrum into “wave families,” defined by spectral peaks and discrete generation regions, and relates atmospheric conditions in distant regions of the ocean basin to local wave conditions by incorporating travel times computed from effective energy flux across the ocean basin. When applied to locations with multimodal wave spectra, including Southern California and Trujillo, Peru, the new methodology improves the ability of the statistical model to project significant wave height, peak period, and direction for each wave family, retaining more information from the full wave spectrum. This work is the base of statistical downscaling by weather types, which has recently been applied to coastal flooding and morphodynamic applications.</span></p>","language":"English","publisher":"American Meteorological Society","publisherLocation":"Boston, MA","doi":"10.1175/JPO-D-16-0191.1","usgsCitation":"Hegermiller, C., Antolinez, J.A., Rueda, A.C., Camus, P., Perez, J., Erikson, L.H., Barnard, P., and Mendez, F.J., 2017, A multimodal wave spectrum-based approach for statistical downscaling of local wave climate: Journal of Physical Oceanography, v. 47, p. 375-386, https://doi.org/10.1175/JPO-D-16-0191.1.","productDescription":"12 p.","startPage":"375","endPage":"386","ipdsId":"IP-079831","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461817,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/jpo-d-16-0191.1","text":"External Repository"},{"id":332172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba36e4b0e2663625f2a4","chorus":{"doi":"10.1175/jpo-d-16-0191.1","url":"http://dx.doi.org/10.1175/jpo-d-16-0191.1","publisher":"American Meteorological Society","authors":"Hegermiller C. A., Antolinez J. A. A., Rueda A., Camus P., Perez J., Erikson L. H., Barnard P. L., Mendez F. J.","journalName":"Journal of Physical Oceanography","publicationDate":"2/2017","auditedOn":"2/15/2017","publiclyAccessibleDate":"2/6/2018"},"contributors":{"authors":[{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Antolinez, Jose A.A.","contributorId":177510,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A.A.","affiliations":[],"preferred":false,"id":656011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rueda, Ana C.","contributorId":177511,"corporation":false,"usgs":false,"family":"Rueda","given":"Ana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":656012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camus, Paula","contributorId":177512,"corporation":false,"usgs":false,"family":"Camus","given":"Paula","email":"","affiliations":[],"preferred":false,"id":656013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Jorge","contributorId":177513,"corporation":false,"usgs":false,"family":"Perez","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":656014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656015,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":656016,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":656017,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70179779,"text":"70179779 - 2017 - Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California","interactions":[],"lastModifiedDate":"2017-01-18T10:39:07","indexId":"70179779","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","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":"Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California","docAbstract":"<p>Knowledge of the habitats occupied by species is fundamental for the development of effective conservation and management actions. The collapse of pelagic fish species in the Sacramento–San Joaquin Delta, California, has triggered a need to better understand factors that drive their distribution and abundance. A study was conducted in summer–fall 2014 in an attempt to identify physical and biological habitat conditions that drive the abundance and distribution of pelagic species in the northern region of the system. The study was conducted in the three largest channels in the northern Sacramento–San Joaquin Delta by dimension, volume, and flow capacity. The pelagic community was dominated by three nonnative species, Siberian prawn <i>Exopalaemon modestus</i>, which comprised 56% of the total number of organisms, and two fish species, Threadfin Shad <i>Dorosoma petenense</i> and Mississippi Silversides <i>Menidia audens</i>, which together comprised 43% of the total number of organisms. Total fish and total shrimp abundance were sensitive to the most extreme values of turbidity and temperature encountered and positively associated with total zooplankton biomass. The results suggested that habitat conditions in terminal channels, historically a common feature on the landscape, support higher abundances of pelagic species and zooplankton than open-ended channels. These results provide resource managers with useful information on the habitat associations of pelagic species and on how the future distribution and abundance of pelagic species will likely change in response to climate or other ecological factors.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/00028487.2016.1243577","usgsCitation":"Feyrer, F.V., Slater, S.B., Portz, D.E., Odom, D., Morgan-King, T.L., and Brown, L.R., 2017, Pelagic nekton abundance and distribution in the northern Sacramento–San Joaquin Delta, California: Transactions of the American Fisheries Society, v. 146, no. 1, p. 128-135, https://doi.org/10.1080/00028487.2016.1243577.","productDescription":"8 p.","startPage":"128","endPage":"135","ipdsId":"IP-078562","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470196,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2016.1243577","text":"Publisher Index Page"},{"id":333325,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122,\n              38\n            ],\n            [\n              -122,\n              38.6\n            ],\n            [\n              -121.5,\n              38.6\n            ],\n            [\n              -121.5,\n              38\n            ],\n            [\n              -122,\n              38\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"58808d3de4b01dfadfff152d","chorus":{"doi":"10.1080/00028487.2016.1243577","url":"http://dx.doi.org/10.1080/00028487.2016.1243577","publisher":"Informa UK Limited","authors":"Feyrer Frederick, Slater Steven B., Portz Donald E., Odom Darren, Morgan-King Tara, Brown Larry R.","journalName":"Transactions of the American Fisheries Society","publicationDate":"12/9/2016"},"contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Steven B.","contributorId":178380,"corporation":false,"usgs":false,"family":"Slater","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":658662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Portz, Donald E.","contributorId":178381,"corporation":false,"usgs":false,"family":"Portz","given":"Donald","email":"","middleInitial":"E.","affiliations":[{"id":27970,"text":"Bureau of Reclamation, Denver, CO","active":true,"usgs":false}],"preferred":false,"id":658663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Odom, Darren","contributorId":178382,"corporation":false,"usgs":false,"family":"Odom","given":"Darren","email":"","affiliations":[{"id":28043,"text":"Sureworks","active":true,"usgs":false}],"preferred":false,"id":658664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan-King, Tara L. 0000-0001-5632-5232 tamorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-5232","contributorId":554,"corporation":false,"usgs":true,"family":"Morgan-King","given":"Tara","email":"tamorgan@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":658665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Larry R. 0000-0001-6702-4531 lrbrown@usgs.gov","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":1717,"corporation":false,"usgs":true,"family":"Brown","given":"Larry","email":"lrbrown@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658666,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176605,"text":"70176605 - 2017 - A trans-national monarch butterfly population model and implications for regional conservation priorities","interactions":[],"lastModifiedDate":"2020-09-01T14:14:13.510333","indexId":"70176605","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1455,"text":"Ecological Entomology","active":true,"publicationSubtype":{"id":10}},"title":"A trans-national monarch butterfly population model and implications for regional conservation priorities","docAbstract":"<p>1. The monarch has undergone considerable population declines over the past decade, and the governments of Mexico, Canada, and the United States have agreed to work together to conserve the species.</p><p>2. Given limited resources, understanding where to focus conservation action is key for widespread species like monarchs. To support planning for continental-scale monarch habitat restoration, we address the question of where restoration efforts are likely to have the largest impacts on monarch butterfly (<i>Danaus plexippus</i> Linn.) population growth rates.</p><p>3. We present a spatially explicit demographic model simulating the multi-generational annual cycle of the eastern monarch population, and use the model to examine management scenarios, some of which focus on particular regions of North America.</p><p>4. Improving the monarch habitat in the north central or southern parts of the monarch range yields a slightly greater increase in the population growth rate than restoration in other regions. However, combining restoration efforts across multiple regions yields population growth rates above 1 with smaller simulated improvements in habitat per region than single-region strategies.</p><p>5. <i><strong>S</strong><strong>ynthesis and applications:</strong></i> These findings suggest that conservation investment in projects across the full monarch range will be more effective than focusing on one or a few regions, and will require international cooperation across many land use categories.</p>","language":"English","publisher":"Wiley","doi":"10.1111/een.12351","usgsCitation":"Oberhauser, K., Wiederholt, R., Diffendorfer, J., Semmens, D.J., Ries, L., Thogmartin, W.E., Lopez-Hoffman, L., and Semmens, B., 2017, A trans-national monarch butterfly population model and implications for regional conservation priorities: Ecological Entomology, v. 42, no. 1, p. 51-60, https://doi.org/10.1111/een.12351.","productDescription":"10 p.","startPage":"51","endPage":"60","ipdsId":"IP-068737","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":331812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-21","publicationStatus":"PW","scienceBaseUri":"584bd0dbe4b077fc20250dfa","chorus":{"doi":"10.1111/een.12351","url":"http://dx.doi.org/10.1111/een.12351","publisher":"Wiley-Blackwell","authors":"OBERHAUSER KAREN, WIEDERHOLT RUSCENA, DIFFENDORFER JAY E., SEMMENS DARIUS, RIES LESLIE, THOGMARTIN WAYNE E., LOPEZ-HOFFMAN LAURA, SEMMENS BRICE","journalName":"Ecological Entomology","publicationDate":"10/21/2016","publiclyAccessibleDate":"10/21/2016"},"contributors":{"authors":[{"text":"Oberhauser, Karen","contributorId":21059,"corporation":false,"usgs":true,"family":"Oberhauser","given":"Karen","affiliations":[],"preferred":false,"id":649351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":649352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":649350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":649353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ries, Leslie","contributorId":50034,"corporation":false,"usgs":true,"family":"Ries","given":"Leslie","affiliations":[],"preferred":false,"id":649354,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":649355,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":649356,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Semmens, Brice","contributorId":19870,"corporation":false,"usgs":true,"family":"Semmens","given":"Brice","affiliations":[],"preferred":false,"id":649357,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]}