{"pageNumber":"1032","pageRowStart":"25775","pageSize":"25","recordCount":184711,"records":[{"id":70178564,"text":"70178564 - 2017 - Contribution of manipulable and non-manipulable environmental factors to trapping efficiency of invasive sea lamprey","interactions":[],"lastModifiedDate":"2017-01-27T11:24:54","indexId":"70178564","displayToPublicDate":"2016-11-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of manipulable and non-manipulable environmental factors to trapping efficiency of invasive sea lamprey","docAbstract":"<p><span>We identified aspects of the trapping process that afforded opportunities for improving trap efficiency of invasive sea lamprey (</span><i>Petromyzon marinus</i><span>) in a Great Lake's tributary. Capturing a sea lamprey requires it to encounter the trap, enter, and be retained until removed. Probabilities of these events depend on the interplay between sea lamprey behavior, environmental conditions, and trap design. We first tested how strongly seasonal patterns in daily trap catches (a measure of trapping success) were related to nightly rates of trap encounter, entry, and retention (outcomes of sea lamprey behavior). We then tested the degree to which variation in rates of trap encounter, entry, and retention were related to environmental features that control agents can manipulate (attractant pheromone addition, discharge) and features agents cannot manipulate (water temperature, season), but could be used as indicators for when to increase trapping effort. Daily trap catch was most strongly associated with rate of encounter. Relative and absolute measures of predictive strength for environmental factors that managers could potentially manipulate were low, suggesting that opportunities to improve trapping success by manipulating factors that affect rates of encounter, entry, and retention are limited. According to results at this trap, more sea lamprey would be captured by increasing trapping effort early in the season when sea lamprey encounter rates with traps are high. The approach used in this study could be applied to trapping of other invasive or valued species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.10.009","usgsCitation":"Dawson, H.A., Bravener, G., Beaulaurier, J., Johnson, N.S., Twohey, M., McLaughlin, R.L., and Brenden, T.O., 2017, Contribution of manipulable and non-manipulable environmental factors to trapping efficiency of invasive sea lamprey: Journal of Great Lakes Research, v. 43, no. 1, p. 172-181, https://doi.org/10.1016/j.jglr.2016.10.009.","productDescription":"10 p.","startPage":"172","endPage":"181","ipdsId":"IP-079967","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":331361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583ff34ae4b04fc80e437254","contributors":{"authors":[{"text":"Dawson, Heather A.","contributorId":12409,"corporation":false,"usgs":true,"family":"Dawson","given":"Heather","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravener, Gale","contributorId":150995,"corporation":false,"usgs":false,"family":"Bravener","given":"Gale","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":654558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaulaurier, Joshua","contributorId":87431,"corporation":false,"usgs":true,"family":"Beaulaurier","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":654559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Nicholas S. njohnson@usgs.gov","contributorId":145440,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":654560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Twohey, Michael","contributorId":80170,"corporation":false,"usgs":true,"family":"Twohey","given":"Michael","affiliations":[],"preferred":false,"id":654561,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Robert L.","contributorId":143707,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":654562,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brenden, Travis O.","contributorId":126759,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","email":"","middleInitial":"O.","affiliations":[{"id":6596,"text":"Quantitative Fisheries Center, Department of Fisheries and Wildlife Michigan State University","active":true,"usgs":false}],"preferred":false,"id":654563,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178551,"text":"70178551 - 2017 - Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","interactions":[],"lastModifiedDate":"2017-01-19T14:01:46","indexId":"70178551","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","docAbstract":"<p><span>Large gaps exist in our knowledge of the ecology of stream-breeding plethodontid salamanders in the Gulf Coastal Plain. Data describing where these salamanders are likely to occur along environmental gradients, as well as their likelihood of detection, are important for the prevention and management of amphibian declines. We used presence/absence data from leaf litter bag surveys and a hierarchical Bayesian multispecies single-season occupancy model to estimate the occurrence of five species of plethodontids across reaches in headwater streams in the Gulf Coastal Plain. Average detection probabilities were high (range = 0.432–0.942) and unaffected by sampling covariates specific to the use of litter bags (i.e., bag submergence, sampling season, in-stream cover). Estimates of occurrence probabilities differed substantially between species (range = 0.092–0.703) and were influenced by the size of the upstream drainage area and by the maximum proportion of the reach that dried. The effects of these two factors were not equivalent across species. Our results demonstrate that hierarchical multispecies models successfully estimate occurrence parameters for both rare and common stream-breeding plethodontids. The resulting models clarify how species are distributed within stream networks, and they provide baseline values that will be useful in evaluating the conservation statuses of plethodontid species within lotic systems in the Gulf Coastal Plain.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/16-050","usgsCitation":"Lamb, J.Y., Waddle, J.H., and Qualls, C.P., 2017, Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain: Journal of Herpetology, v. 51, no. 1, p. 102-108, https://doi.org/10.1670/16-050.","productDescription":"7 p.","startPage":"102","endPage":"108","ipdsId":"IP-072999","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331234,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://journalofherpetology.org/doi/abs/10.1670/16-050"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d502de4b0d9329c80c591","contributors":{"authors":[{"text":"Lamb, Jennifer Y.","contributorId":177025,"corporation":false,"usgs":false,"family":"Lamb","given":"Jennifer","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":654324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qualls, Carl P.","contributorId":19688,"corporation":false,"usgs":true,"family":"Qualls","given":"Carl","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":654326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178550,"text":"70178550 - 2017 - A computational fluid dynamics modeling study of guide walls for downstream fish passage","interactions":[],"lastModifiedDate":"2016-11-28T10:40:51","indexId":"70178550","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"A computational fluid dynamics modeling study of guide walls for downstream fish passage","docAbstract":"<p><span>A partial-depth, impermeable guidance structure (or guide wall) for downstream fish passage is typically constructed as a series of panels attached to a floating boom and anchored across a water body (e.g. river channel, reservoir, or power canal). The downstream terminus of the wall is generally located nearby to a fish bypass structure. If guidance is successful, the fish will avoid entrainment in a dangerous intake structure (i.e. turbine intakes) while passing from the headpond to the tailwater of a hydroelectric facility through a safer passage route (i.e. the bypass). The goal of this study is to determine the combination of guide wall design parameters that will most likely increase the chance of surface-oriented fish being successfully guided to the bypass. To evaluate the flow field immediately upstream of a guide wall, a parameterized computational fluid dynamics model of an idealized power canal was constructed in © ANSYS Fluent v 14.5 (ANSYS Inc., 2012). The design parameters investigated were the angle and depth of the guide wall and the average approach velocity in the power canal. Results call attention to the importance of the downward to sweeping flow ratio and demonstrate how a change in guide wall depth and angle can affect this important hydraulic cue to out-migrating fish. The key findings indicate that a guide wall set at a small angle (15° is the minimum in this study) and deep enough such that sweeping flow dominant conditions prevail within the expected vertical distribution of fish approaching the structure will produce hydraulic conditions that are more likely to result in effective passage.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.11.025","usgsCitation":"Mulligan, K., Towler, B., Haro, A.J., and Ahlfeld, D.P., 2017, A computational fluid dynamics modeling study of guide walls for downstream fish passage: Ecological Engineering, v. 99, p. 324-332, https://doi.org/10.1016/j.ecoleng.2016.11.025.","productDescription":"9 p.","startPage":"324","endPage":"332","ipdsId":"IP-080297","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1533720","text":"Publisher Index Page"},{"id":331236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d5027e4b0d9329c80c58b","contributors":{"authors":[{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":654327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Towler, Brett","contributorId":141164,"corporation":false,"usgs":false,"family":"Towler","given":"Brett","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":654328,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":654329,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ahlfeld, David P.","contributorId":49464,"corporation":false,"usgs":true,"family":"Ahlfeld","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":654330,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178534,"text":"70178534 - 2017 - Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits","interactions":[],"lastModifiedDate":"2017-03-09T13:54:12","indexId":"70178534","displayToPublicDate":"2016-11-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits","docAbstract":"<p><span>We present new, monthly-resolved Sr/Ca-based sea-surface temperature (SST) records from two species of massive coral, </span><i>Orbicella faveolata</i><span> and </span><i>Siderastrea siderea,</i><span> from the Dry Tortugas National Park, FL, USA (DTNP). We combine these new records with published data from three additional </span><i>S. siderea</i><span> coral colonies to generate a 278-year long multi-species stacked Sr/Ca-SST record from DTNP. The composite record of mean annual Sr/Ca-SST at DTNP shows pronounced decadal-scale variability with a range of 1 to 2°C. Notable cool intervals in the Sr/Ca-derived SST lasting about a decade centered at ~1845, ~1935, and ~1965 are associated with reduced summer Sr/Ca-SST (monthly maxima &lt;&nbsp;29°C), and imply a reduction in the spatial extent of the Atlantic Warm Pool (AWP). There is significant coherence between the composite DTNP Sr/Ca-SST record and the Atlantic Multidecadal Oscillation (AMO) index, with the AMO lagging Sr/Ca-SST at DTNP by 9&nbsp;years. Low frequency variability in the Gulf Stream surface transport, which originates near DTNP, may provide a link for the lagged relationship between multidecadal variability at DTNP and the AMO.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2016.10.022","usgsCitation":"Flannery, J.A., Richey, J.N., Thirumalai, K., Poore, R.Z., and DeLong, K.L., 2017, Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 466, p. 100-109, https://doi.org/10.1016/j.palaeo.2016.10.022.","productDescription":"10 p.","startPage":"100","endPage":"109","numberOfPages":"10","ipdsId":"IP-073370","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470202,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2016.10.022","text":"Publisher Index Page"},{"id":331211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331307,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7V69GQ2","text":"Coral cores collected in Dry Tortugas National Park, Florida, U.S.A.: Photographs and X-rays"},{"id":337230,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7CC0XS9","text":"Multi-species Coral Sr/Ca Based Sea-Surface Temperature Reconstruction Data Using Orbicella faveolata and Siderastrea siderea from Dry Tortugas National Park, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Straits of Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n 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jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":5182,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":654275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thirumalai, Kaustubh","contributorId":127444,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","email":"","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":654276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":654274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLong, Kristine L.","contributorId":19249,"corporation":false,"usgs":true,"family":"DeLong","given":"Kristine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":654272,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189723,"text":"70189723 - 2017 - Computing spatial correlation of ground motion intensities for ShakeMap","interactions":[],"lastModifiedDate":"2018-02-07T19:04:11","indexId":"70189723","displayToPublicDate":"2016-11-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Computing spatial correlation of ground motion intensities for ShakeMap","docAbstract":"Modeling the spatial correlation of ground motion residuals, caused by \ncoherent contributions from source, path, and site, can provide valuable loss \nand hazard information, as well as a more realistic depiction of ground motion \nintensities. The U.S. Geological Survey (USGS) software package, ShakeMap, \nutilizes a deterministic empirical approach to estimate median ground shaking \nin conjunction with observed seismic data. ShakeMap-based shaking estimates\n are used in concert with loss estimation algorithms to estimate fatalities and \neconomic losses after significant seismic events around the globe. Incorporating\n the spatial correlation of ground motion residuals has been shown to improve \nseismic loss estimates. In particular, Park, Bazzuro, and Baker (Applications of \nStatistics and Probability in Civil Engineering, 2007) investigated computing \nspatially correlated random fields of residuals. However, for large scale \nShakeMap grids, computational requirements of the method are prohibitive. \nIn this work, a memory efficient algorithm is developed to compute the random\n fields and implemented using the ShakeMap framework. This new, iterative \nparallel algorithm is based on decay properties of an associated ground motion\n correlation function and is shown to significantly reduce computational \nrequirements associated with adding spatial variability to the ShakeMap g\nround motion estimates. Further, we demonstrate and quantify the impact of \nadding peak ground motion spatial variability on resulting earthquake loss \nestimates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2016.11.004","usgsCitation":"Verros, S., Wald, D.J., Worden, C., Hearne, M., and Ganesh, M., 2017, Computing spatial correlation of ground motion intensities for ShakeMap: Computers & Geosciences, v. 99, p. 145-154, https://doi.org/10.1016/j.cageo.2016.11.004.","productDescription":"10 p. ","startPage":"145","endPage":"154","ipdsId":"IP-080243","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312abe4b0ec1a488718de","contributors":{"authors":[{"text":"Verros, Sarah sverros@usgs.gov","contributorId":194960,"corporation":false,"usgs":true,"family":"Verros","given":"Sarah","email":"sverros@usgs.gov","affiliations":[],"preferred":true,"id":705936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ganesh, Mahadevan","contributorId":194961,"corporation":false,"usgs":false,"family":"Ganesh","given":"Mahadevan","email":"","affiliations":[],"preferred":false,"id":705940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178512,"text":"70178512 - 2017 - Spatially explicit modeling in ecology: A review","interactions":[],"lastModifiedDate":"2017-03-03T11:18:05","indexId":"70178512","displayToPublicDate":"2016-11-22T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatially explicit modeling in ecology: A review","docAbstract":"<p><span>The use of spatially explicit models (SEMs) in ecology has grown enormously in the past two decades. One major advancement has been that fine-scale details of landscapes, and of spatially dependent biological processes, such as dispersal and invasion, can now be simulated with great precision, due to improvements in computer technology. Many areas of modeling have shifted toward a focus on capturing these fine-scale details, to improve mechanistic understanding of ecosystems. However, spatially implicit models (SIMs) have played a dominant role in ecology, and arguments have been made that SIMs, which account for the effects of space without specifying spatial positions, have an advantage of being simpler and more broadly applicable, perhaps contributing more to understanding. We address this debate by comparing SEMs and SIMs in examples from the past few decades of modeling research. We argue that, although SIMs have been the dominant approach in the incorporation of space in theoretical ecology, SEMs have unique advantages for addressing pragmatic questions concerning species populations or communities in specific places, because local conditions, such as spatial heterogeneities, organism behaviors, and other contingencies, produce dynamics and patterns that usually cannot be incorporated into simpler SIMs. SEMs are also able to describe mechanisms at the local scale that can create amplifying positive feedbacks at that scale, creating emergent patterns at larger scales, and therefore are important to basic ecological theory. We review the use of SEMs at the level of populations, interacting populations, food webs, and ecosystems and argue that SEMs are not only essential in pragmatic issues, but must play a role in the understanding of causal relationships on landscapes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0066-z","usgsCitation":"DeAngelis, D., and Yurek, S., 2017, Spatially explicit modeling in ecology: A review: Ecosystems, v. 20, no. 2, p. 284-300, https://doi.org/10.1007/s10021-016-0066-z.","productDescription":"17 p.","startPage":"284","endPage":"300","ipdsId":"IP-073254","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"58356729e4b0070c0abfb6d4","contributors":{"authors":[{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":147289,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald L.","email":"don_deangelis@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":654206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915 syurek@usgs.gov","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":103167,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","email":"syurek@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654207,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178480,"text":"70178480 - 2017 - Soils mediate the impact of fine woody debris on invasive and native grasses as whole trees are mechanically shredded into firebreaks in piñon-juniper woodlands","interactions":[],"lastModifiedDate":"2016-11-21T12:41:05","indexId":"70178480","displayToPublicDate":"2016-11-21T12:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Soils mediate the impact of fine woody debris on invasive and native grasses as whole trees are mechanically shredded into firebreaks in piñon-juniper woodlands","docAbstract":"<p><span>To stem wildfires, trees are being mechanically shredded into firebreaks with the resulting fine woody debris (FWD) potentially exerting immense control over soil and plants. We linked FWD-induced changes in microbial activity and nutrient availability to the frequency of </span><i>Bromus tectorum</i><span> and three native, perennial grasses across 31 piñon-juniper woodlands, UT, USA. Using a series of mixed models, we found that FWD increased the frequency of three of the four grasses by at least 12%. Deep, as opposed to shallow, soils mediated frequencies following FWD additions but only partially explained the variation in </span><i>Bromus</i><span> and </span><i>Pseudoroegneria spicata</i><span>. Although fertile areas associated with tree-islands elicited no response, FWD-induced increases in nitrogen mineralization in deep soils (15–17&nbsp;cm) caused the frequency of the exotic and </span><i>Pseudoroegneria</i><span> to rise. Higher phosphorus availability in FWD-covered surface soils (0–2&nbsp;cm) had no impact on grasses. FWD altered deep soil respiration, and deep and shallow microbial biomass structuring </span><i>Pseudoroegneria</i><span> frequencies, suggesting that microorganism themselves regulated </span><i>Pseudoroegneria</i><span>. The positive effects of FWD on grass frequencies intensified over time for natives but diminished for </span><i>Bromus</i><span>. Our results demonstrate that microorganisms in deeper soils helped mediate species-specific responses to disturbance both facilitating exotic invasion and promoting native establishment.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2016.11.002","usgsCitation":"Aanderud, Z.T., Schoolmaster, D.R., Rigby, D., Bybee, J., Campbell, T., and Roundy, B.A., 2017, Soils mediate the impact of fine woody debris on invasive and native grasses as whole trees are mechanically shredded into firebreaks in piñon-juniper woodlands: Journal of Arid Environments, v. 137, p. 60-68, https://doi.org/10.1016/j.jaridenv.2016.11.002.","productDescription":"9 p.","startPage":"60","endPage":"68","ipdsId":"IP-059909","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2016.11.002","text":"Publisher Index Page"},{"id":331155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"137","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583415a8e4b0070c0abed80a","contributors":{"authors":[{"text":"Aanderud, Zachary T.","contributorId":176977,"corporation":false,"usgs":false,"family":"Aanderud","given":"Zachary","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":654146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":654147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigby, Deborah","contributorId":176978,"corporation":false,"usgs":false,"family":"Rigby","given":"Deborah","email":"","affiliations":[],"preferred":false,"id":654148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bybee, Jordon","contributorId":176979,"corporation":false,"usgs":false,"family":"Bybee","given":"Jordon","email":"","affiliations":[],"preferred":false,"id":654149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, Tayte","contributorId":176980,"corporation":false,"usgs":false,"family":"Campbell","given":"Tayte","email":"","affiliations":[],"preferred":false,"id":654150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roundy, Bruce A.","contributorId":95824,"corporation":false,"usgs":true,"family":"Roundy","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178448,"text":"70178448 - 2017 - Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA","interactions":[],"lastModifiedDate":"2016-11-21T14:18:58","indexId":"70178448","displayToPublicDate":"2016-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA","docAbstract":"<p><span>The purchase of private land for conservation purposes is a common way to prevent the exploitation of sensitive ecological areas. However, private land conservation can also provide other benefits, one of these being natural hazard reduction. Here, we investigated the impacts of private land conservation on fire risk to homes in San Diego County, California. We coupled an econometric land use change model with a model that estimates the probability of house loss due to fire in order to compare fire risk at the county and municipality scale under alternative private land purchasing schemes and over a 20&nbsp;year time horizon. We found that conservation purchases could reduce fire risk on this landscape, and the amount of risk reduction was related to the targeting approach used to choose which parcels were conserved. Conservation land purchases that targeted parcels designated as high fire hazard resulted in lower fire risk to homes than purchases that targeted low costs or high likelihood to subdivide. This result was driven by (1) preventing home placement in fire prone areas and (2) taking land off the market, and hence increasing development densities in other areas. These results raise the possibility that resource conservation and fire hazard reduction may benefit from combining efforts. With adequate planning, future conservation purchases could have synergistic effects beyond just protecting ecologically sensitive areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2016.05.002","usgsCitation":"Butsic, V., Syphard, A.D., Keeley, J.E., and Bar-Massada, A., 2017, Can private land conservation reduce wildfire risk to homes? A case study in San Diego County, California, USA: Landscape and Urban Planning, v. 157, p. 161-169, https://doi.org/10.1016/j.landurbplan.2016.05.002.","productDescription":"9 p.","startPage":"161","endPage":"169","ipdsId":"IP-067495","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":331167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":\"221\",\"properties\":{\"name\":\"San 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Center","active":true,"usgs":true}],"preferred":true,"id":654178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bar-Massada, Avi","contributorId":172973,"corporation":false,"usgs":false,"family":"Bar-Massada","given":"Avi","affiliations":[{"id":27129,"text":"Dep't Biology and Environment, U of Haifa at Oranim, Israel","active":true,"usgs":false}],"preferred":false,"id":654179,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178441,"text":"70178441 - 2017 - Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii","interactions":[],"lastModifiedDate":"2016-12-09T16:04:19","indexId":"70178441","displayToPublicDate":"2016-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii","docAbstract":"<p><span>Groundwater and seawater samples were collected from nearshore wells and offshore along the Kona Coast of the Big Island of Hawaii to investigate rare earth element (REE) behavior in local subterranean estuaries. Previous investigations showed that submarine groundwater discharge (SGD) is the predominant flux of terrestrial waters to the coastal ocean along the arid Kona Coast of Hawaii. Groundwater and seawater samples were filtered through 0.45 μm and 0.02 μm pore-size filters to evaluate the importance of colloidal and soluble (i.e., truly dissolved ionic species and/or low molecular weight [LMW] colloids) fractions of the REEs in the local subterranean estuaries. Mixing experiments using groundwater collected immediately down gradient from a wastewater treatment facility (WWTF) proximal to the Kaloko-Hanokohau National Historic Park, and more “pristine” groundwater from a well constructed in a lava tube at Kiholo Bay, were mixed with local seawater to study the effect of solution composition (i.e., pH, salinity) on the concentrations and fractionation behavior of the REEs as groundwater mixes with seawater in Kona Coast subterranean estuaries. The mixed waters were also filtered through 0.45 or 0.02 μm filters to ascertain the behavior of colloidal and soluble fractions of the REEs across the salinity gradient in each mixing experiment. Concentrations of the REEs were statistically identical (two-tailed Student </span><i>t</i><span>-test, 95% confidence) between the sequentially filtered sample aliquots, indicating that the REEs occur as dissolved ionic species and/or LMW colloids in Kona Coast groundwaters. The mixing experiments revealed that the REEs are released to solution from suspended particles or colloids when Kona Coast groundwater waters mix with local seawater. The order of release that accompanies increasing pH and salinity follows light REE (LREE) &gt; middle REE (MREE) &gt; heavy REE (HREE). Release of REEs in the mixing experiments is driven by decreases in the free metal ion activity in solution and the concomitant increase in the amount of each REE that occurs in solution as dicarbonato complexes [i.e., Ln(CO</span><sub>3</sub><span>)</span><sub>2</sub><sup>-</sup><span>] as pH increases across the salinity gradient. Input-normalized REE patterns of Kona Coast groundwater and coastal seawater are nearly identical and relatively flat compared to North Pacific seawater, indicating that SGD is the chief source of these trace elements to the ocean along the Kona Coast. Additionally, REE concentrations of the coastal seawater are between 10 and 50 times higher than previously reported open-ocean seawater values from the North Pacific, further demonstrating the importance of SGD fluxes of REEs to these coastal waters. Taken together, these observations indicate that large-scale removal of REEs, which characterizes the behavior of REEs in the low salinity reaches of many surface estuaries, is not a feature of the subterranean estuary along the Kona Coast. A large positive gadolinium (Gd) anomaly characterizes groundwater from the vicinity of the WWTF. The positive Gd anomaly can be traced to the coastal ocean, providing further evidence of the impact of SGD on the coastal waters. Estimates of the SGD fluxes of the REEs to the coastal ocean along the Kona Coast (i.e., 1.3 – 2.6 mmol Nd day</span><sup>-1</sup><span>) are similar to recent estimates of SGD fluxes of REEs along Florida’s east coast and to Rhode Island Sound, all of which points to the importance of SGD as significant flux of REEs to the coastal ocean.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2016.11.009","usgsCitation":"Johannesson, K., Palmore, C.D., Fackrell, J., Prouty, N.G., Swarzenski, P.W., Chevis, D.A., Telfeyan, K., White, C.D., and Burdige, D.J., 2017, Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii: Geochimica et Cosmochimica Acta, v. 198, p. 229-258, https://doi.org/10.1016/j.gca.2016.11.009.","productDescription":"30 p.","startPage":"229","endPage":"258","ipdsId":"IP-075252","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1416299","text":"Publisher Index Page"},{"id":331169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kona Coast","volume":"198","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583415b2e4b0070c0abed81e","contributors":{"authors":[{"text":"Johannesson, Karen H.","contributorId":150171,"corporation":false,"usgs":false,"family":"Johannesson","given":"Karen H.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":654087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmore, C. Dianne","contributorId":176964,"corporation":false,"usgs":false,"family":"Palmore","given":"C.","email":"","middleInitial":"Dianne","affiliations":[],"preferred":false,"id":654094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fackrell, Joseph","contributorId":150170,"corporation":false,"usgs":false,"family":"Fackrell","given":"Joseph","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":654088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chevis, Darren A.","contributorId":176960,"corporation":false,"usgs":false,"family":"Chevis","given":"Darren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Telfeyan, Katherine","contributorId":176961,"corporation":false,"usgs":false,"family":"Telfeyan","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":654091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Christopher D.","contributorId":176962,"corporation":false,"usgs":false,"family":"White","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":654092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burdige, David J.","contributorId":176963,"corporation":false,"usgs":false,"family":"Burdige","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":654093,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70178442,"text":"70178442 - 2017 - Cryptic invasion of Northern Leopard Frogs (<i>Rana pipiens</i>) across phylogeographic boundaries and a dilemma for conservation of a declining amphibian","interactions":[],"lastModifiedDate":"2017-02-02T11:05:04","indexId":"70178442","displayToPublicDate":"2016-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Cryptic invasion of Northern Leopard Frogs (<i>Rana pipiens</i>) across phylogeographic boundaries and a dilemma for conservation of a declining amphibian","docAbstract":"<p><span>Anthropogenic introduction of species is a major contributor to loss of biodiversity. Translocations within the range of a species are less frequently recognized, but have the potential for negative effects as well. Genetic mixing may lead to loss of local adaptations or further decline through outbreeding depression. These cryptic invasions may be quite difficult to recognize, but genetic tools can be used to recognize and monitor such intraspecific introductions. Conversely, translocations within species can be an important conservation tool to reduce inbreeding depression and replace lost genetic diversity. Thus, cryptic invasions can be either an aid or a hindrance to conservation efforts. We tested for the presence of non-native genotypes and assessed the extent and nature of introgression in populations of Northern Leopard Frog (</span><i class=\"EmphasisTypeItalic \">Rana pipiens</i><span>) in the southwestern US, where populations have declined to a few remnant populations. The most abundant and diverse complex of populations in the region contained a mitochondrial haplotype that was not native to the western US, probably resulting from the introduction of released pets, laboratory animals, or release during fish stocking. These non-native haplotypes were well integrated into a large complex of ponds and lakes, contributing to high genetic diversity in this area. Logistically, the geographic extent of non-native genetic influence within this population precludes eliminating or controlling the non-native component of this population. We recommend assessing the progress and fate of the introgression over time—along with population fitness parameters—to determine whether this introduction is beneficial or detrimental to population persistence. Meanwhile, translocations from nearby locations with similar environmental conditions have the best prospects for avoiding problems with outbreeding depression in other declining populations and will also most effectively preserve regional genetic diversity.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1320-1","usgsCitation":"O’Donnell, R.P., Drost, C.A., and Mock, K.E., 2017, Cryptic invasion of Northern Leopard Frogs (<i>Rana pipiens</i>) across phylogeographic boundaries and a dilemma for conservation of a declining amphibian: Biological Invasions, v. 19, no. 3, p. 1039-1052, https://doi.org/10.1007/s10530-016-1320-1.","productDescription":"14 p.","startPage":"1039","endPage":"1052","ipdsId":"IP-076411","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":331168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"583415b2e4b0070c0abed81c","contributors":{"authors":[{"text":"O’Donnell, Ryan P. 0000-0002-8710-7956 rodonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-8710-7956","contributorId":4657,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Ryan","email":"rodonnell@usgs.gov","middleInitial":"P.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":654180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":654181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mock, Karen E.","contributorId":84061,"corporation":false,"usgs":true,"family":"Mock","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":654182,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70181028,"text":"70181028 - 2017 - Patterns and drivers for wetland connections in the Prairie Pothole Region, United States","interactions":[],"lastModifiedDate":"2017-06-01T10:24:44","indexId":"70181028","displayToPublicDate":"2016-11-18T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and drivers for wetland connections in the Prairie Pothole Region, United States","docAbstract":"<p><span>Ecosystem function in rivers, lakes and coastal waters depends on the functioning of upstream aquatic ecosystems, necessitating an improved understanding of watershed-scale interactions including variable surface-water flows between wetlands and streams. As surface water in the Prairie Pothole Region expands in wet years, surface-water connections occur between many depressional wetlands and streams. Minimal research has explored the spatial patterns and drivers for the abundance of these connections, despite their potential to inform resource management and regulatory programs including the U.S. Clean Water Act. In this study, wetlands were identified that did not intersect the stream network, but were shown with Landsat images (1990–2011) to become merged with the stream network as surface water expanded. Wetlands were found to spill into or consolidate with other wetlands within both small (2–10 wetlands) and large (&gt;100 wetlands) wetland clusters, eventually intersecting a stream channel, most often via a riparian wetland. These surface-water connections occurred over a wide range of wetland distances from streams (averaging 90–1400&nbsp;m in different ecoregions). Differences in the spatial abundance of wetlands that show a variable surface-water connection to a stream were best explained by smaller wetland-to-wetland distances, greater wetland abundance, and maximum surface-water extent. This analysis demonstrated that wetland arrangement and surface water expansion are important mechanisms for depressional wetlands to connect to streams and provides a first step to understanding the frequency and abundance of these surface-water connections across the Prairie Pothole Region.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-016-9516-9","usgsCitation":"Vanderhoof, M.K., Christensen, J.R., and Alexander, L., 2017, Patterns and drivers for wetland connections in the Prairie Pothole Region, United States: Wetlands Ecology and Management, v. 25, no. 3, p. 275-297, https://doi.org/10.1007/s11273-016-9516-9.","productDescription":"23 p.","startPage":"275","endPage":"297","ipdsId":"IP-069163","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470204,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11273-016-9516-9","text":"Publisher Index Page"},{"id":335162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -100.052490234375,\n              46.475699386607516\n            ],\n            [\n              -100.052490234375,\n              48.785151998043155\n            ],\n            [\n              -97.61352539062499,\n              48.785151998043155\n            ],\n            [\n              -97.61352539062499,\n              46.475699386607516\n            ],\n            [\n              -100.052490234375,\n              46.475699386607516\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.23974609375,\n              43.8028187190472\n            ],\n            [\n              -98.23974609375,\n              46.027481852486645\n            ],\n            [\n              -94.8779296875,\n              46.027481852486645\n            ],\n            [\n              -94.8779296875,\n              43.8028187190472\n            ],\n            [\n              -98.23974609375,\n              43.8028187190472\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-19","publicationStatus":"PW","scienceBaseUri":"589fff06e4b099f50d3e0449","contributors":{"authors":[{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":663374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Jay R.","contributorId":179361,"corporation":false,"usgs":false,"family":"Christensen","given":"Jay","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":663375,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alexander, Laurie C.","contributorId":138989,"corporation":false,"usgs":false,"family":"Alexander","given":"Laurie C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":663376,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178399,"text":"70178399 - 2017 - A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA","interactions":[],"lastModifiedDate":"2017-01-10T13:25:18","indexId":"70178399","displayToPublicDate":"2016-11-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA","docAbstract":"<p><span>To better understand the potential avian diseases in Greater Sage-grouse (</span><i><i>Centrocercus urophasianus</i></i><span>) in the Great Basin in Nevada, we collected 31 blood samples March–April 2014 and tested for antibodies to eight viruses and two bacteria. Specifically, sera were tested for antibodies to avian leukosis virus type A, B, and J (ALV-A, ALV-B, and ALV-J, respectively), infectious bursal disease virus, infectious bronchitis virus, reticuloendothelial virus, avian influenza virus (AIV), West Nile virus, </span><i><i>Pasteurella multocida</i></i><span> (PM), and </span><i><i>Salmonella enterica</i></i><span> serovar Pullorum. Serum antibodies against ALV-A and -B (1/31, 3%), ALV-J (5/31, 16%), PM (1/31, 3%), and AIV (2/31, 6%) were detected by enzyme-linked immunosorbent assay (ELISA). While ELISA tests used have only been validated in domestic poultry, the serologic data should be used as a potential indicator of the range of bacterial and viral infectious agents that can infect the Greater Sage-grouse.</span></p>","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/2015-10-285","usgsCitation":"Sinai, N.L., Coates, P.S., Andrle, K.M., Jefferis, C., Sentíes–Cué, C., and Pitesky, M.E., 2017, A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA: Journal of Wildlife Diseases, v. 53, no. 1, p. 136-139, https://doi.org/10.7589/2015-10-285.","productDescription":"4 p.","startPage":"136","endPage":"139","ipdsId":"IP-075280","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":331093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Gabriel","contributorId":176919,"corporation":false,"usgs":false,"family":"Sentíes–Cué","given":"C. Gabriel","affiliations":[],"preferred":false,"id":653973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, Maurice E.","contributorId":176920,"corporation":false,"usgs":false,"family":"Pitesky","given":"Maurice","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":653974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178385,"text":"70178385 - 2017 - Extinction debt as a driver of amphibian declines: An example with imperiled flatwoods salamanders","interactions":[],"lastModifiedDate":"2017-01-19T14:03:12","indexId":"70178385","displayToPublicDate":"2016-11-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Extinction debt as a driver of amphibian declines: An example with imperiled flatwoods salamanders","docAbstract":"<p><span>A comprehensive view of population declines and their underlying causes is necessary to reverse species loss. Historically, in many cases, a narrow view may have allowed species declines to continue, virtually undetected, for long periods of time (perhaps even decades). We suggest that extinction debt is likely responsible for numerous (perhaps most) amphibian declines and that this perspective should be incorporated into the structure of amphibian research and management. Extinction debt, originally proposed to explain changes in species richness following environmental disturbance, also may refer to the proportion of populations of an individual species that is expected to eventually be lost because of habitat change. A conservation framework to address extinction debt focuses research on threats at the individual, population, and metapopulation levels. This approach will help enhance, restore, and protect specific processes and habitats at the proper scale by directing management to the most vulnerable level and stage of a species. We illustrate this approach using Flatwoods Salamanders, </span><i><i>Ambystoma cingulatum</i></i><span>and </span><i>Ambystoma bishopi</i><span>, which occurred historically throughout the Coastal Plain of the southeastern United States but have experienced a greater than 85% loss of populations in recent years. Reversal of these losses is possible only if conservation and recovery efforts encompass individual, population, and metapopulation levels. We illustrate our framework by outlining actions that could be taken at each of these levels to help guide conservation and management of amphibians with complex life cycles and provide options for how to prioritize conservation actions in the face of logistical and budgetary shortfalls.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/16-090","usgsCitation":"Semiltsch, R.D., Walls, S.C., Barichivich, W.J., and O’Donnell, K., 2017, Extinction debt as a driver of amphibian declines: An example with imperiled flatwoods salamanders: Journal of Herpetology, v. 51, no. 1, p. 12-18, https://doi.org/10.1670/16-090.","productDescription":"7 p.","startPage":"12","endPage":"18","ipdsId":"IP-057782","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470205,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1670/16-090","text":"Publisher Index Page"},{"id":331062,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331045,"type":{"id":15,"text":"Index Page"},"url":"https://www.journalofherpetology.org/doi/abs/10.1670/16-090?journalCode=hpet"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582dd8eae4b04d580bd3fa95","contributors":{"authors":[{"text":"Semiltsch, Raymond D","contributorId":176896,"corporation":false,"usgs":false,"family":"Semiltsch","given":"Raymond","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":653905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861 wbarichivich@usgs.gov","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":3697,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","email":"wbarichivich@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":653904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, Katherine M. 0000-0001-9023-174X kmodonnell@usgs.gov","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":176897,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Katherine M.","email":"kmodonnell@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":653907,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193787,"text":"70193787 - 2017 - AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images","interactions":[],"lastModifiedDate":"2017-11-08T13:22:20","indexId":"70193787","displayToPublicDate":"2016-11-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images","docAbstract":"<p><span>Although the use of camera traps in wildlife management is well established, technologies to automate image processing have been much slower in development, despite their potential to drastically reduce personnel time and cost required to review photos. We developed AnimalFinder in MATLAB® to identify animal presence in time-lapse camera trap images by comparing individual photos to all images contained within the subset of images (i.e. photos from the same survey and site), with some manual processing required to remove false positives and collect other relevant data (species, sex, etc.). We tested AnimalFinder on a set of camera trap images and compared the presence/absence results with manual-only review with white-tailed deer (</span><span><i><a title=\"Learn more about Odocoileus\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/odocoileus\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/odocoileus\">Odocoileus</a></i><span>&nbsp;</span>virginianus</span><span>), wild pigs (</span><i>Sus scrofa</i><span>), and raccoons (</span><i>Procyon lotor</i><span>). We compared abundance estimates, model rankings, and coefficient estimates of detection and abundance for white-tailed deer using N-mixture models. AnimalFinder performance varied depending on a threshold value that affects program sensitivity to frequently occurring pixels in a series of images. Higher threshold values led to fewer false negatives (missed deer images) but increased manual processing time, but even at the highest threshold value, the program reduced the images requiring manual review by ~</span><span>40% and correctly identified &gt;</span><span>90% of deer, raccoon, and wild pig images. Estimates of white-tailed deer were similar between AnimalFinder and the manual-only method (~</span><span>1–2 deer difference, depending on the model), as were model rankings and coefficient estimates. Our results show that the program significantly reduced data processing time and may increase efficiency of camera trapping surveys.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.11.003","usgsCitation":"Price Tack, J.L., West, B.S., McGowan, C.P., Ditchkoff, S.S., Reeves, S.J., Keever, A., and Grand, J.B., 2017, AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images: Ecological Informatics, v. 36, p. 145-151, https://doi.org/10.1016/j.ecoinf.2016.11.003.","productDescription":"6 p.","startPage":"145","endPage":"151","ipdsId":"IP-075973","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453ca","contributors":{"authors":[{"text":"Price Tack, Jennifer L.","contributorId":200155,"corporation":false,"usgs":false,"family":"Price Tack","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":33694,"text":"School of Forestry and Wildlife Sciences, Auburn University","active":true,"usgs":false}],"preferred":false,"id":721188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Brian S.","contributorId":200157,"corporation":false,"usgs":false,"family":"West","given":"Brian","email":"","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":721189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":720508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ditchkoff, Stephen S.","contributorId":193053,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Stanley J.","contributorId":200160,"corporation":false,"usgs":false,"family":"Reeves","given":"Stanley","email":"","middleInitial":"J.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":721191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":721192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720509,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178352,"text":"70178352 - 2017 - Endocrine active contaminants in aquatic systems and intersex in common sport fishes","interactions":[],"lastModifiedDate":"2017-03-29T15:10:50","indexId":"70178352","displayToPublicDate":"2016-11-15T00:00:00","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":"Endocrine active contaminants in aquatic systems and intersex in common sport fishes","docAbstract":"<p><span>Male fish are susceptible to developing intersex, a condition characterized by the presence of testicular oocytes. In the present study, the relationship between intersex and exposure to estrogenic endocrine active contaminants (EACs) was assessed for 2 genera of sport fish, </span><i>Micropterus</i><span> and </span><i>Lepomis</i><span>, at 20 riverine sites. Seasonal trends and relationships between EACs and intersex (prevalence and severity) were examined at varying putative sources of EACs throughout North Carolina, identified as point sources, nonpoint sources, and reference sites. Intersex was identified in both genera, which was documented for the first time in wild-caught </span><i>Lepomis</i><span>. Intersex was more prevalent (59.8%) and more severe (1.6 mean rank) in </span><i>Micropterus</i><span>, which was highly correlation to EACs in sediment. In contrast, intersex was less common (9.9%) and less severe (0.2 mean rank) in </span><i>Lepomis</i><span> and was highly correlated to EACs in the water column. The authors found that concentrations of polycyclic aromatic hydrocarbons, polychlorinated biphenyls, industrial EACs, and estrogens were highest at point source sites; however, no source type variation was identified in the prevalence or severity of intersex, nor were there seasonal trends in intersex or EAC concentrations. The authors’ results associate genus-specific prevalence of intersex with specific EAC classes in common sport fishes having biological, ecological, and conservation implications. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3607","usgsCitation":"Lee Pow, C.S., Law, J.M., Kwak, T.J., Cope, W., Rice, J., Kullman, S.W., and Aday, D.D., 2017, Endocrine active contaminants in aquatic systems and intersex in common sport fishes: Environmental Toxicology and Chemistry, v. 36, no. 4, p. 959-968, https://doi.org/10.1002/etc.3607.","startPage":"959","endPage":"968","ipdsId":"IP-077886","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"582c2ce4e4b0c253be072bfe","contributors":{"authors":[{"text":"Lee Pow, Crystal S. D.","contributorId":176861,"corporation":false,"usgs":false,"family":"Lee Pow","given":"Crystal","email":"","middleInitial":"S. D.","affiliations":[],"preferred":false,"id":653831,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Law, J. Mac","contributorId":176862,"corporation":false,"usgs":false,"family":"Law","given":"J.","email":"","middleInitial":"Mac","affiliations":[],"preferred":false,"id":653832,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":653750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":653833,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rice, James A.","contributorId":176863,"corporation":false,"usgs":false,"family":"Rice","given":"James A.","affiliations":[],"preferred":false,"id":653834,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kullman, Seth W.","contributorId":62516,"corporation":false,"usgs":true,"family":"Kullman","given":"Seth","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":653835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aday, D. Derek","contributorId":176864,"corporation":false,"usgs":false,"family":"Aday","given":"D.","email":"","middleInitial":"Derek","affiliations":[],"preferred":false,"id":653836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178376,"text":"70178376 - 2017 - Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","interactions":[],"lastModifiedDate":"2017-03-22T14:58:15","indexId":"70178376","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","docAbstract":"<p><i>Chrysomya megacephala</i><span> (Fabricius) is a forensically important fly that is found throughout the tropics and subtropics. We calculated the accumulated development time and transition points for each life stage from eclosion to adult emergence at five constant temperatures: 15, 20, 25, 30, and 35 °C. For each transition, the 10th, 50th, and 90th percentiles were calculated with a logistic linear model. The mean transition times and % survivorship were determined directly from the raw laboratory data. Development times of </span><i>C. megacephala</i><span> were compared with that of two other closely related species, </span><i>Chrysomya rufifacies</i><span> (Macquart) and </span><i>Phormia regina</i><span> (Meigen). Ambient and larval mass temperatures were collected from field studies conducted from 2001–2004. Field study data indicated that adult fly activity was reduced at lower ambient temperatures, but once a larval mass was established, heat generation occurred. These development times and durations can be used for estimation of a postmortem interval (PMI).</span></p>","language":"English","publisher":"Oxford University Press ","doi":"10.1093/jme/tjw169","usgsCitation":"Gruner, S.V., Slone, D., Capinera, J., and Turco, M.P., 2017, Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures: Journal of Medical Entomology, v. 54, no. 2, p. 290-298, https://doi.org/10.1093/jme/tjw169.","productDescription":"9 p.","startPage":"290","endPage":"298","ipdsId":"IP-059412","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"582c2ce1e4b0c253be072bf2","contributors":{"authors":[{"text":"Gruner, S. V.","contributorId":176868,"corporation":false,"usgs":false,"family":"Gruner","given":"S.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":653841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, D. H. 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":33040,"corporation":false,"usgs":true,"family":"Slone","given":"D. H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capinera, J.L.","contributorId":38780,"corporation":false,"usgs":true,"family":"Capinera","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":653843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turco, M. P.","contributorId":176867,"corporation":false,"usgs":false,"family":"Turco","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178374,"text":"70178374 - 2017 - Climate-induced glacier and snow loss imperils alpine stream insects","interactions":[],"lastModifiedDate":"2017-06-07T10:41:21","indexId":"70178374","displayToPublicDate":"2016-11-15T00:00:00","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":"Climate-induced glacier and snow loss imperils alpine stream insects","docAbstract":"<p><span>Climate warming is causing rapid loss of glaciers and snowpack in mountainous regions worldwide. These changes are predicted to negatively impact the habitats of many range-restricted species, particularly endemic, mountaintop species dependent on the unique thermal and hydrologic conditions found only in glacier-fed and snowmelt-driven alpine streams. Though progress has been made, existing understanding of the status, distribution, and ecology of alpine aquatic species, particularly in North America, is lacking, thereby hindering conservation and management programs. Two aquatic insects – the meltwater stonefly </span><i>Lednia tumana</i><span> and the glacier stonefly </span><i>Zapada glacier</i><span> – were recently proposed for listing under the U.S. Endangered Species Act due to climate-change-induced habitat loss. Using a large dataset (272 streams, 482 total sites) with high-resolution climate and habitat information, we describe the distribution, status, and key environmental features that limit </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> across the northern Rocky Mountains. </span><i>Lednia tumana</i><span> was detected in 113 streams (175 sites) within Glacier National Park (GNP) and surrounding areas. The probability of </span><i>L. tumana</i><span> occurrence increased with cold stream temperatures and close proximity to glaciers and permanent snowfields. Similarly, densities of </span><i>L. tumana</i><span> declined with increasing distance from stream source. </span><i>Zapada glacier</i><span> was only detected in 10 streams (20 sites), six in GNP and four in mountain ranges up to ~600 km southwest. Our results show that both </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> inhabit an extremely narrow distribution, restricted to short sections of cold, alpine streams often below glaciers predicted to disappear over the next two decades. Climate warming-induced glacier and snow loss clearly imperils the persistence of </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> throughout their ranges, highlighting the role of mountaintop aquatic invertebrates as sentinels of climate change in mid-latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13565","usgsCitation":"Giersch, J., Hotaling, S., Kovach, R., Jones, L.A., and Muhlfeld, C.C., 2017, Climate-induced glacier and snow loss imperils alpine stream insects: Global Change Biology, v. 23, no. 7, p. 2577-2589, https://doi.org/10.1111/gcb.13565.","productDescription":"13 p.","startPage":"2577","endPage":"2589","ipdsId":"IP-079238","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":331024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"582c2ce2e4b0c253be072bf6","contributors":{"authors":[{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":653826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":653827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":653830,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178324,"text":"70178324 - 2017 - Removing sun glint from optical remote sensing images of shallow rivers","interactions":[],"lastModifiedDate":"2017-02-02T11:06:27","indexId":"70178324","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Removing sun glint from optical remote sensing images of shallow rivers","docAbstract":"<p><span>Sun glint is the specular reflection of light from the water surface, which often causes unusually bright pixel values that can dominate fluvial remote sensing imagery and obscure the water-leaving radiance signal of interest for mapping bathymetry, bottom type, or water column optical characteristics. Although sun glint is ubiquitous in fluvial remote sensing imagery, river-specific methods for removing sun glint are not yet available. We show that existing sun glint-removal methods developed for multispectral images of marine shallow water environments over-correct shallow portions of fluvial remote sensing imagery resulting in regions of unreliable data along channel margins. We build on existing marine glint-removal methods to develop a river-specific technique that removes sun glint from shallow areas of the channel without overcorrection by accounting for non-negligible water-leaving near-infrared radiance. This new sun glint-removal method can improve the accuracy of spectrally-based depth retrieval in cases where sun glint dominates the at-sensor radiance. For an example image of the gravel-bed Snake River, Wyoming, USA, observed-vs.-predicted </span><i>R<sup>2</sup></i><span> values for depth retrieval improved from 0.66 to 0.76 following sun glint removal. The methodology presented here is straightforward to implement and could be incorporated into image processing workflows for multispectral images that include a near-infrared band. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4063","usgsCitation":"Overstreet, B.T., and Legleiter, C.J., 2017, Removing sun glint from optical remote sensing images of shallow rivers: Earth Surface Processes and Landforms, v. 42, no. 2, p. 318-333, https://doi.org/10.1002/esp.4063.","productDescription":"16 p.","startPage":"318","endPage":"333","ipdsId":"IP-073666","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-29","publicationStatus":"PW","scienceBaseUri":"582c2ce4e4b0c253be072c00","contributors":{"authors":[{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":653838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178378,"text":"70178378 - 2017 - Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004","interactions":[],"lastModifiedDate":"2017-11-22T17:05:03","indexId":"70178378","displayToPublicDate":"2016-11-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004","docAbstract":"<p><span>This telemetry study is an extension of our 1997–2006 research on historical mercury contamination on snowy egrets (</span><i>Egretta thula</i><span>) up to ~ 20 days of age. Findings from initial studies at the mercury-contaminated Carson River colony at Lahontan Reservoir (LR) and a similar-sized reference (REF) colony on the Humboldt River included mercury-related physiological, biochemical, histopathological and reproductive effects up to ~20 days of age; with poor water years (2000–04), i.e., reduced prey availability, exacerbating effects. Herein, we compare timing of dispersal and migration at LR vs. REF, but the primary question now addressed is “whether survival of young mercury-exposed snowy egrets from LR would be further compromised beyond ~20 days of age? ” Based upon telemetry signals until 90–110 days of age (including dead bird counts and survival rate estimates), we conclude that mercury did not further compromise survival. Dead bird counts and survival rate estimates included time in the colony when fed by adults, plus the critical period when young dispersed from the colony to forage independently. The extended drought during this 3-year study was most critical in 2002 when production of ~20&nbsp;d old egrets at LR was only 0.24 young/nest. In 2002, survival rates were low at both colonies and we documented the highest counts of dead egrets for both colonies. We suggest the losses in 2002 beyond 20 days of age were more a function of prey availability influenced by drought than exposure to mercury, especially at LR, because higher mercury concentrations, higher survival rates and fewer dead birds were documented at LR in 2003 when water conditions improved. Furthermore, total mercury (THg) in blood in 2003 was more than double 2002 (geometric mean, 3.39 vs 1.47&nbsp;µg/g wet weight (ww). This higher THg exposure at LR in 2003 was associated with a redistribution of parent and post-dispersal feeding activities upstream (where there was higher mercury from historic mining) related to slightly improved water levels. When comparing the 3-year telemetry findings based upon ~20&nbsp;d old young at LR (blood THg, geo. means 1.47, 3.39 and 1.89&nbsp;µg/g ww), we found no evidence that age at dispersal, Julian date at dispersal, timing of migration, or pre-migration survival (~20 to ~100 days post-hatch) were adversely affected by elevated mercury.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2016.10.002","usgsCitation":"Henny, C.J., Hill, E.F., Grove, R.A., Chelgren, N., and Haggerty, P.K., 2017, Mercury and drought along the lower Carson River, Nevada: IV. Snowy egret post-fledging dispersal, timing of migration and survival, 2002–2004: Ecotoxicology and Environmental Safety, v. 135, p. 358-367, https://doi.org/10.1016/j.ecoenv.2016.10.002.","productDescription":"10 p.","startPage":"358","endPage":"367","ipdsId":"IP-067269","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470206,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2016.10.002","text":"Publisher Index Page"},{"id":331026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","city":"Carsen City, Elko","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.59716796875,\n              39.16839998800286\n            ],\n            [\n              -119.59716796875,\n              41.071069130806414\n            ],\n            [\n              -115.5706787109375,\n              41.071069130806414\n            ],\n            [\n              -115.5706787109375,\n              39.16839998800286\n            ],\n            [\n              -119.59716796875,\n              39.16839998800286\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"135","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"582c2cdde4b0c253be072bec","contributors":{"authors":[{"text":"Henny, Charles J. 0000-0001-7474-350X hennyc@usgs.gov","orcid":"https://orcid.org/0000-0001-7474-350X","contributorId":3461,"corporation":false,"usgs":true,"family":"Henny","given":"Charles","email":"hennyc@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":653867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Elwood F.","contributorId":27115,"corporation":false,"usgs":true,"family":"Hill","given":"Elwood","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":653868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Robert A.","contributorId":52134,"corporation":false,"usgs":true,"family":"Grove","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":653869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chelgren, Nathan 0000-0003-0944-9165 nchelgren@usgs.gov","orcid":"https://orcid.org/0000-0003-0944-9165","contributorId":3134,"corporation":false,"usgs":true,"family":"Chelgren","given":"Nathan","email":"nchelgren@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":653870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":653871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185339,"text":"70185339 - 2017 - Fine‐resolution conservation planning with limited climate‐change information","interactions":[],"lastModifiedDate":"2018-03-28T11:10:00","indexId":"70185339","displayToPublicDate":"2016-11-14T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fine‐resolution conservation planning with limited climate‐change information","docAbstract":"<p><span>Climate‐change induced uncertainties in future spatial patterns of conservation‐related outcomes make it difficult to implement standard conservation‐planning paradigms. A recent study translates Markowitz's risk‐diversification strategy from finance to conservation settings, enabling conservation agents to use this diversification strategy for allocating conservation and restoration investments across space to minimize the risk associated with such uncertainty. However, this method is information intensive and requires a large number of forecasts of ecological outcomes associated with possible climate‐change scenarios for carrying out fine‐resolution conservation planning. We developed a technique for iterative, spatial portfolio analysis that can be used to allocate scarce conservation resources across a desired level of subregions in a planning landscape in the absence of a sufficient number of ecological forecasts. We applied our technique to the Prairie Pothole Region in central North America. A lack of sufficient future climate information prevented attainment of the most efficient risk‐return conservation outcomes in the Prairie Pothole Region. The difference in expected conservation returns between conservation planning with limited climate‐change information and full climate‐change information was as large as 30% for the Prairie Pothole Region even when the most efficient iterative approach was used. However, our iterative approach allowed finer resolution portfolio allocation with limited climate‐change forecasts such that the best possible risk‐return combinations were obtained. With our most efficient iterative approach, the expected loss in conservation outcomes owing to limited climate‐change information could be reduced by 17% relative to other iterative approaches.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.12793","usgsCitation":"Shah, P., Mallory, M.L., Ando, A.W., and Guntenspergen, G.R., 2017, Fine‐resolution conservation planning with limited climate‐change information: Conservation Biology, v. 31, no. 2, p. 278-289, https://doi.org/10.1111/cobi.12793.","productDescription":"12 p. ","startPage":"278","endPage":"289","ipdsId":"IP-067064","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.12793","text":"Publisher Index Page"},{"id":337940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-14","publicationStatus":"PW","scienceBaseUri":"58d23b91e4b0236b68f828ee","chorus":{"doi":"10.1111/cobi.12793","url":"http://dx.doi.org/10.1111/cobi.12793","publisher":"Wiley-Blackwell","authors":"Shah Payal, Mallory Mindy L., Ando Amy W., Guntenspergen Glenn R.","journalName":"Conservation Biology","publicationDate":"11/14/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/14/2016"},"contributors":{"authors":[{"text":"Shah, Payal","contributorId":189609,"corporation":false,"usgs":false,"family":"Shah","given":"Payal","email":"","affiliations":[],"preferred":false,"id":685378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mallory, Mindy L.","contributorId":189610,"corporation":false,"usgs":false,"family":"Mallory","given":"Mindy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":685379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ando, Amy W.","contributorId":189611,"corporation":false,"usgs":false,"family":"Ando","given":"Amy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":685380,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":685230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182240,"text":"70182240 - 2017 - A synthesis of radial growth patterns preceding tree mortality","interactions":[],"lastModifiedDate":"2017-03-22T14:45:42","indexId":"70182240","displayToPublicDate":"2016-11-12T00:00:00","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":"A synthesis of radial growth patterns preceding tree mortality","docAbstract":"<p><span>Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan-continental tree-ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1–100&nbsp;years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long-lasting declines were found for gymnosperms, shade- and drought-tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark-beetles) typically showed relatively small and short-term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark-beetle attack, while long-term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth-based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark-beetle outbreaks.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13535","usgsCitation":"Cailleret, M., Jansen, S., Robert, E.M., Desoto, L., Aakala, T., Antos, J.A., Beikircher, B., Bigler, C., Bugmann, H., Caccianiga, M., Cada, V., Camarero, J.J., Cherubini, P., Cochard, H., Coyea, M.R., Cufar, K., Das, A., Davi, H., Delzon, S., Dorman, M., Gea-Izquierdo, G., Gillner, S., Haavik, L.J., Hartmann, H., Heres, A., Hultine, K.R., Janda, P., Kane, J.M., Kharuk, V., Kitzberger, T., Klein, T., Kramer, K., Lens, F., Levanic, T., Calderon, J.C., Lloret, F., Lobo-Do-Vale, R., Lombardi, F., Lopez Rodriguez, R., Makinen, H., Mayr, S., Meszaros, I., Metsaranta, J.M., Minunno, F., Oberhuber, W., Papadopoulos, A., Peltoniemi, M., Petritan, A., Rohner, B., Sanguesa-Barreda, G., Sarris, D., Smith, J.M., Stan, A.B., Sterck, F., Stojanovic, D.B., Suarez, M.L., Svoboda, M., Tognetti, R., Torres-Ruiz, J.M., Trotsiuk, V., Villalba, R., Vodde, F., Westwood, A.R., Wyckoff, P.H., Zafirov, N., and Martínez-Vilalta, J., 2017, A synthesis of radial growth patterns preceding tree mortality: Global Change Biology, v. 23, no. 4, p. 1675-1690, https://doi.org/10.1111/gcb.13535.","productDescription":"16 p.","startPage":"1675","endPage":"1690","ipdsId":"IP-077898","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":461831,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gcb.13535","text":"External Repository"},{"id":335975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-12","publicationStatus":"PW","scienceBaseUri":"58aeb13be4b01ccd54f9ee1a","contributors":{"authors":[{"text":"Cailleret, Maxime 0000-0001-6561-1943","orcid":"https://orcid.org/0000-0001-6561-1943","contributorId":181952,"corporation":false,"usgs":false,"family":"Cailleret","given":"Maxime","email":"","affiliations":[],"preferred":false,"id":670125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jansen, Steven","contributorId":181953,"corporation":false,"usgs":false,"family":"Jansen","given":"Steven","email":"","affiliations":[],"preferred":false,"id":670126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robert, Elisabeth M.R.","contributorId":181954,"corporation":false,"usgs":false,"family":"Robert","given":"Elisabeth","email":"","middleInitial":"M.R.","affiliations":[],"preferred":false,"id":670127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Desoto, Lucia","contributorId":181955,"corporation":false,"usgs":false,"family":"Desoto","given":"Lucia","email":"","affiliations":[],"preferred":false,"id":670128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aakala, Tuomas","contributorId":181956,"corporation":false,"usgs":false,"family":"Aakala","given":"Tuomas","email":"","affiliations":[],"preferred":false,"id":670129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antos, Joseph A.","contributorId":181957,"corporation":false,"usgs":false,"family":"Antos","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":670130,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beikircher, Barbara","contributorId":181958,"corporation":false,"usgs":false,"family":"Beikircher","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":670131,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bigler, Christof","contributorId":181959,"corporation":false,"usgs":false,"family":"Bigler","given":"Christof","email":"","affiliations":[],"preferred":false,"id":670132,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bugmann, Harald","contributorId":181960,"corporation":false,"usgs":false,"family":"Bugmann","given":"Harald","email":"","affiliations":[],"preferred":false,"id":670133,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Caccianiga, Marco","contributorId":181961,"corporation":false,"usgs":false,"family":"Caccianiga","given":"Marco","email":"","affiliations":[],"preferred":false,"id":670134,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cada, Vojtech","contributorId":181962,"corporation":false,"usgs":false,"family":"Cada","given":"Vojtech","email":"","affiliations":[],"preferred":false,"id":670135,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Camarero, Jesus J.","contributorId":181963,"corporation":false,"usgs":false,"family":"Camarero","given":"Jesus","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":670136,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cherubini, Paolo","contributorId":181964,"corporation":false,"usgs":false,"family":"Cherubini","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":670137,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cochard, Herve","contributorId":181965,"corporation":false,"usgs":false,"family":"Cochard","given":"Herve","email":"","affiliations":[],"preferred":false,"id":670138,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Coyea, Marie R.","contributorId":181966,"corporation":false,"usgs":false,"family":"Coyea","given":"Marie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":670139,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cufar, 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,{"id":70178218,"text":"70178218 - 2017 - Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","interactions":[],"lastModifiedDate":"2017-02-24T10:51:24","indexId":"70178218","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","docAbstract":"<p><span>A set of universal guidelines is needed to determine the limit of detection (LOD) in PCR-based analyses of low concentration DNA. In particular, environmental DNA (eDNA) studies require sensitive and reliable methods to detect rare and cryptic species through shed genetic material in environmental samples. Current strategies for assessing detection limits of eDNA are either too stringent or subjective, possibly resulting in biased estimates of species’ presence. Here, a conservative LOD analysis grounded in analytical chemistry is proposed to correct for overestimated DNA concentrations predominantly caused by the concentration plateau, a nonlinear relationship between expected and measured DNA concentrations. We have used statistical criteria to establish formal mathematical models for both quantitative and droplet digital PCR. To assess the method, a new Grass Carp (</span><i>Ctenopharyngodon idella</i><span>) TaqMan assay was developed and tested on both PCR platforms using eDNA in water samples. The LOD adjustment reduced Grass Carp occupancy and detection estimates while increasing uncertainty – indicating that caution needs to be applied to eDNA data without LOD correction. Compared to quantitative PCR, digital PCR had higher occurrence estimates due to increased sensitivity and dilution of inhibitors at low concentrations. Without accurate LOD correction, species occurrence and detection probabilities based on eDNA estimates are prone to a source of bias that cannot be reduced by an increase in sample size or PCR replicates. Other applications also could benefit from a standardized LOD such as GMO food analysis, and forensic and clinical diagnostics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12619","usgsCitation":"Hunter, M., Dorazio, R.M., Butterfield, J.S., Meigs-Friend, G., Nico, L., and Ferrante, J.A., 2017, Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA: Molecular Ecology Resources, v. 17, no. 2, p. 221-229, https://doi.org/10.1111/1755-0998.12619.","productDescription":"9 p.","startPage":"221","endPage":"229","ipdsId":"IP-074405","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-20","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de968","chorus":{"doi":"10.1111/1755-0998.12619","url":"http://dx.doi.org/10.1111/1755-0998.12619","publisher":"Wiley-Blackwell","authors":"Hunter Margaret E., Dorazio Robert M., Butterfield John S. S., Meigs-Friend Gaia, Nico Leo G., Ferrante Jason A.","journalName":"Molecular Ecology Resources","publicationDate":"11/20/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/20/2016"},"contributors":{"authors":[{"text":"Hunter, Margaret 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140627,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":653306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, John S. jbutterfield@usgs.gov","contributorId":5593,"corporation":false,"usgs":true,"family":"Butterfield","given":"John","email":"jbutterfield@usgs.gov","middleInitial":"S.","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":653307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510 gmeigs-friend@usgs.gov","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":4688,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","email":"gmeigs-friend@usgs.gov","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":653308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nico, Leo 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":138599,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrante, Jason A. 0000-0003-3453-4636 jferrante@usgs.gov","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":176726,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","email":"jferrante@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653310,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178045,"text":"70178045 - 2017 - How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","interactions":[],"lastModifiedDate":"2017-05-15T17:19:32","indexId":"70178045","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model","docAbstract":"<ol id=\"jpe12788-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Habitat loss, habitat fragmentation, overexploitation and climate change pose familiar and new challenges to conserving natural populations throughout the world. One approach conservation planners may use to evaluate the effects of these challenges on wildlife populations is scenario planning.</li><li>We developed an individual-based model to evaluate the effects of future land use and land cover changes on spring-migrating dabbling ducks in North America. We assessed the effects of three Intergovernmental Panel&nbsp;on Climate Change emission scenarios (A1B, A2 and B1) on dabbling duck stopover duration, movement distances and mortality. We specifically focused on migration stopover duration because previous research has demonstrated that individuals arriving earlier on the nesting grounds exhibit increased reproductive fitness.</li><li>Compared to present conditions, all three scenarios increased stopover duration and movement distances of agent ducks.</li><li>Although all three scenarios presented migrating ducks with increased amounts of wetland habitat, scenarios also contained substantially less cropland, which decreased overall carrying capacity of the study area.</li><li><i>Synthesis and applications</i>. Land-use change may increase waterfowl spring migration stopover duration in the midcontinent region of North America due to reduced landscape energetic carrying capacity. Climate change will alter spatial patterns of crop distributions with corn and rice production areas shifting to different regions. Thus, conservation planners will have to address population-level energetic implications of shifting agricultural food resources and increased uncertainty in yearly precipitation patterns within the next 50&nbsp;years.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12788","usgsCitation":"Beatty, W.S., Kesler, D.C., Webb, E.B., Naylor, L.W., Raedeke, A.H., Humburg, D.D., Coluccy, J.M., and Soulliere, G.J., 2017, How will predicted land-use change affect waterfowl spring stopover ecology? Inferences from an individual-based model: Journal of Applied Ecology, v. 54, no. 3, p. 926-934, https://doi.org/10.1111/1365-2664.12788.","productDescription":"9 p.","startPage":"926","endPage":"934","ipdsId":"IP-066514","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470209,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12788","text":"Publisher Index Page"},{"id":330603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-11","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91003","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":652611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kesler, Dylan C.","contributorId":14358,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","email":"","middleInitial":"C.","affiliations":[{"id":6769,"text":"University of Missouri, Columbia, MO","active":true,"usgs":false}],"preferred":false,"id":652612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naylor, Luke W.","contributorId":145840,"corporation":false,"usgs":false,"family":"Naylor","given":"Luke","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":652613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":652614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":652615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coluccy, John M.","contributorId":111382,"corporation":false,"usgs":true,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652616,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Soulliere, Gregory J.","contributorId":172329,"corporation":false,"usgs":false,"family":"Soulliere","given":"Gregory","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":652617,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178046,"text":"70178046 - 2017 - Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","interactions":[],"lastModifiedDate":"2017-03-15T14:13:53","indexId":"70178046","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","docAbstract":"<p><span>The Key Largo woodrat (</span><i>Neotoma floridana smalli</i><span>) and Key Largo cotton mouse (</span><i>Peromyscus gossypinus allapaticola</i><span>) are federally endangered subspecies endemic to the tropical hardwood hammocks of Key Largo, Florida. Woodrats are considered generalists in habitat and diet, yet a steady decline in natural stick nests and capture rates over the past several decades suggests that they are limited by the availability of nesting habitat due to habitat loss and fragmentation. The more specialized Key Largo cotton mouse appears to rely on old growth hammock, a habitat type that is rare following past land clearing. In 2004, the U.S. Fish and Wildlife Service started building supplemental nest structures to restore habitat quality and connectivity for these endangered rodents, but nest use requires evaluation. We used camera traps and occupancy models to evaluate the factors influencing woodrat and cotton mouse use of the supplemental nests. We detected woodrats at 65 and cotton mice at 175 of 284 sampled nest structures, with co-occurrence at 38 nests. Woodrat nest use followed a gradient from low nest use in the north to high nest use in the south, which might relate to the proximity of free-ranging domestic cat (</span><i>Felis catus</i><span>) colonies in residential developments. Cotton mouse nest use, however, was related positively to mature hammock and related negatively to disturbed areas (e.g. scarified lands). The two species occurred independently of each other. Stick-stacking behavior was observed at supplemental nests and, although it was correlated with detection of woodrats, it was not a strong predictor of their occurrence. We suggest that nest supplementation can be an important tool for species recovery as habitat quality continues to improve with succession.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12418","usgsCitation":"Cove, M., Simons, T.R., Gardner, B., Maurer, A.S., and O’Connell, A.F., 2017, Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys: Restoration Ecology, v. 25, no. 2, p. 253-260, https://doi.org/10.1111/rec.12418.","productDescription":"8 p.","startPage":"253","endPage":"260","ipdsId":"IP-066131","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":337480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Key Largo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-13","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91001","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":652605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":652606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maurer, Andrew S.","contributorId":176508,"corporation":false,"usgs":false,"family":"Maurer","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":652607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":652608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178063,"text":"70178063 - 2017 - Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","interactions":[],"lastModifiedDate":"2017-03-22T15:00:13","indexId":"70178063","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","docAbstract":"<ol id=\"jpe12723-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain δD assignments.</li><li>We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail <i>Rallus limicola</i>, a secretive and declining migratory game bird in North America.</li><li>Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning δD assignments on these species distribution models yielded comparably high-resolution assignments.</li><li>Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana.</li><li><i>Synthesis and applications</i>. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12723","usgsCitation":"Fournier, A., Sullivan, A.R., Bump, J.K., Perkins, M., Shieldcastle, M.C., and King, S.L., 2017, Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail: Journal of Applied Ecology, v. 54, no. 2, p. 618-627, https://doi.org/10.1111/1365-2664.12723.","productDescription":"10 p.","startPage":"618","endPage":"627","ipdsId":"IP-064836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12723","text":"Publisher Index Page"},{"id":330642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"5819a9c0e4b0bb36a4c90fff","contributors":{"authors":[{"text":"Fournier, Auriel M. V.","contributorId":176535,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[],"preferred":false,"id":652704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Alexis R.","contributorId":176536,"corporation":false,"usgs":false,"family":"Sullivan","given":"Alexis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":652705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bump, Joseph K.","contributorId":176538,"corporation":false,"usgs":false,"family":"Bump","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Marie","contributorId":22957,"corporation":false,"usgs":false,"family":"Perkins","given":"Marie","email":"","affiliations":[],"preferred":false,"id":685742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shieldcastle, Mark C.","contributorId":189699,"corporation":false,"usgs":false,"family":"Shieldcastle","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":685743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652689,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}