The five most common species of Pacific salmon, Rainbow Trout (steelhead) Oncorhynchus spp., and Atlantic Salmon Salmo salar intermingle in the North Pacific Ocean and its freshwater tributaries. Efficient morphological methods for distinguishing among these species are sometimes limited by condition of the specimen (degraded or missing morphology), life history stage, or training of the observer. Researchers have successfully applied various genetic methods to distinguish among these species when morphological analyses are not possible, but they cannot easily incorporate these methods into standard fish and wildlife population monitoring analysis workflows. Here we test five 5′–3′ exonuclease (TaqMan) assays developed from mitochondrial genes and provide novel methods that take advantage of TaqMan output to distinguish among these species. We found that combinations of as few as two of the five assays were adequate to distinguish all species. TaqMan chemistry is designed to interrogate a single nucleotide locus. We also explore the basis for the variation in the observed scatter plot distributions (variation in florescent signals) and show that this variation is due to nucleotide diversity in and near the probe site. Because the SNPs underlying the assays developed here are all physically close to one another along the mitochondrial genome, the potential exists to develop a single DNA sequence-based assay to discriminate among salmon species. This single assay can be added to a genotyping-by-sequencing panel to identify and exclude nontarget species from analyses.
No abstract available.
","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Daniel, W., 2019, USGS combats invasive species through citizen science: Natural Selections Newsletter, no. Summer, p. 12-13.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-107519","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":494253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Summer","noUsgsAuthors":false,"publicationDate":"2019-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":214505,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":946239,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70204730,"text":"70204730 - 2019 - Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","interactions":[],"lastModifiedDate":"2019-08-13T07:59:39","indexId":"70204730","displayToPublicDate":"2019-06-01T07:58:52","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts","docAbstract":"Large earthquakes initiate chains of surface processes that last much longer than the brief moments of strong shaking. Most moderate- and large-magnitude earthquakes trigger landslides, ranging from small failures in the soil cover to massive, devastating rock avalanches. Some landslides dam rivers and impound lakes, which can collapse days to centuries later, and flood mountain valleys for hundreds of kilometers downstream. Landslide deposits on slopes can remobilize during heavy rainfall and evolve into debris flows. Cracks and fractures can form and widen on mountain crests and flanks, promoting increased frequency of landslides that lasts for decades. More gradual impacts involve the flushing of excess debris downstream by rivers, which can generate bank erosion and floodplain accretion as well as channel avulsions that affect flooding frequency, settlements, ecosystems, and infrastructure. Ultimately, earthquake sequences and their geomorphic consequences alter mountain landscapes over both human and geologic time scales. Two recent events have attracted intense research into earthquake-induced landslides and their consequences: the magnitude M 7.6 Chi-Chi, Taiwan earthquake of 1999, and the M 7.9 Wenchuan, China earthquake of 2008. Using data and insights from these and several other earthquakes, we analyze how such events initiate processes that change mountain landscapes, highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth’s surface.","language":"English","publisher":"Wiley","doi":"10.1029/2018RG000626","usgsCitation":"Fan, X., Scaringi, G., Korup, O., West, A.J., Westen, C.J., Tanyas, H., Hovius, N., Hales, T.C., Jibson, R.W., Allstadt, K.E., Zhang, L., Evans, S.G., Xu, C., , L., Pei, X., Xu, Q., and Huang, R., 2019, Earthquake-induced chains of geologic hazards: Patterns, mechanisms, and impacts: Reviews of Geophysics, v. 57, p. 421-503, https://doi.org/10.1029/2018RG000626.","productDescription":"83 p.","startPage":"421","endPage":"503","ipdsId":"IP-107091","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018rg000626","text":"Publisher Index Page"},{"id":366490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366480,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1029/2018RG000626"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Fan, Xuanmei","contributorId":218069,"corporation":false,"usgs":false,"family":"Fan","given":"Xuanmei","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scaringi, Gianvito","contributorId":218070,"corporation":false,"usgs":false,"family":"Scaringi","given":"Gianvito","email":"","affiliations":[{"id":39734,"text":"University of Technology, Chengdu, Sichuan, China and Science, and Science, Charles University, Prague, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":768219,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korup, Oliver","contributorId":218071,"corporation":false,"usgs":false,"family":"Korup","given":"Oliver","email":"","affiliations":[{"id":39735,"text":"Institute of Earth and Environmental Science, University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":768220,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, A. Joshua","contributorId":200289,"corporation":false,"usgs":false,"family":"West","given":"A.","email":"","middleInitial":"Joshua","affiliations":[],"preferred":false,"id":768221,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Westen, Cees J. van","contributorId":218072,"corporation":false,"usgs":false,"family":"Westen","given":"Cees","email":"","middleInitial":"J. van","affiliations":[{"id":39272,"text":"University of Twente","active":true,"usgs":false}],"preferred":false,"id":768222,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tanyas, Hakan","contributorId":198731,"corporation":false,"usgs":false,"family":"Tanyas","given":"Hakan","affiliations":[],"preferred":false,"id":768223,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hovius, Niels","contributorId":198733,"corporation":false,"usgs":false,"family":"Hovius","given":"Niels","email":"","affiliations":[],"preferred":false,"id":768224,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hales, Tristram C","contributorId":218073,"corporation":false,"usgs":false,"family":"Hales","given":"Tristram","email":"","middleInitial":"C","affiliations":[{"id":39736,"text":"Cardiff University, Cardiff, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":768225,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":768217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allstadt, Kate E. 0000-0003-4977-5248 kallstadt@usgs.gov","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":167684,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"kallstadt@usgs.gov","middleInitial":"E.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":768226,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zhang, Limin","contributorId":218074,"corporation":false,"usgs":false,"family":"Zhang","given":"Limin","email":"","affiliations":[{"id":39737,"text":"The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China","active":true,"usgs":false}],"preferred":false,"id":768227,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, Stephen G.","contributorId":179140,"corporation":false,"usgs":false,"family":"Evans","given":"Stephen","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":768228,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xu, Chong","contributorId":196191,"corporation":false,"usgs":false,"family":"Xu","given":"Chong","email":"","affiliations":[],"preferred":false,"id":768229,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":" Li","contributorId":203216,"corporation":false,"usgs":false,"given":"Li","email":"","affiliations":[],"preferred":false,"id":768230,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pei, Xiangjun","contributorId":218075,"corporation":false,"usgs":false,"family":"Pei","given":"Xiangjun","email":"","affiliations":[{"id":39738,"text":"Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768231,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Xu, Qiang","contributorId":214818,"corporation":false,"usgs":false,"family":"Xu","given":"Qiang","email":"","affiliations":[{"id":39123,"text":"Key Laboratory of Continental Collision and Plateau Uplift, Institute of Tibetan Plateau Research and Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":768232,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Huang, Runqiu","contributorId":218076,"corporation":false,"usgs":false,"family":"Huang","given":"Runqiu","email":"","affiliations":[{"id":39733,"text":"State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China","active":true,"usgs":false}],"preferred":false,"id":768233,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70205838,"text":"70205838 - 2019 - Report on the workshop 'Global modelling of biodiversity and ecosystem services'","interactions":[],"lastModifiedDate":"2019-10-08T07:54:53","indexId":"70205838","displayToPublicDate":"2019-06-01T07:53:59","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","title":"Report on the workshop 'Global modelling of biodiversity and ecosystem services'","docAbstract":"A three-day workshop on ‘Global Modelling of Biodiversity and Ecosystem Services’, was held in the Hague, Netherlands, from 24th to 26th June 2019. The workshop, attended by 35 modelling and scenario-building experts, was organised on behalf of the former IPBES1 expert group on scenarios and models of the first IPBES work programme by its interim technical support unit, and hosted by the PBL Netherlands Environmental Assessment Agency.\n\nThe workshop drew on the ‘nature futures’ participatory scenario-building exercise initiated by the IPBES expert group on scenarios and models, and other biodiversity modelling initiatives such as the ISIMIP project2 working on adding biodiversity to the Shared Socioeconomic Pathways (SSPs) scenarios framework, the 'bending the curve' initiative3 led by IIASA4 and WWF5, and GEOBON6 working on modelling Essential Biodiversity Variables. The workshop was a step towards coordinating across biodiversity modelling initiatives, to build on each other’s work, and to seek synergies for the production of innovative scenarios on biodiversity and ecosystem services to inform the post-2020 agenda of the Convention on Biological Diversity, as well as the Sustainable Development Goals. The aims of the workshop were to:\n\n1. Compile material as input for a first draft of the fifth Global Biodiversity Outlook (GBO-5) based on recent scenario work, including the ‘bending the curve’ scenarios and the newly developed PBL scenarios (modified from the Rio+20 scenarios), and existing models (to be completed by August 2019)\n2. Develop a protocol for modelling trends and near term projections on indicators relevant to the Nature Futures Framework7 using models that are readily available (to be completed by early 2020)\n3. Set the agenda and define the aims for a larger meeting at the end of 2019 to discuss the long term strategy towards the development of appropriate indicators and models to produce Nature Futures scenarios (to continue beyond Jan 2020)","language":"English","publisher":"Netherlands Environmental Assessment Agency","usgsCitation":"Okayasu, S., Machteld Schoolenberg, Belder, E.D., Ghassen Halouani, HyeJin Kim, and Miller, B.W., 2019, Report on the workshop 'Global modelling of biodiversity and ecosystem services', 58 p.","productDescription":"58 p.","ipdsId":"IP-111414","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":368087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368086,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.researchgate.net/profile/Tyler_Eddy/publication/335868146_Report_on_the_workshop_'Global_Modelling_of_Biodiversity_and_Ecosystem_Services'/links/5d80fabaa6fdcc12cb96f49d/Report-on-the-workshop-Global-Modelling-of-Biodiversity-and-Ecosystem-Services.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Okayasu, Sana","contributorId":219564,"corporation":false,"usgs":false,"family":"Okayasu","given":"Sana","email":"","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772564,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Machteld Schoolenberg","contributorId":219565,"corporation":false,"usgs":false,"family":"Machteld Schoolenberg","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772565,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belder, Eefje den","contributorId":219566,"corporation":false,"usgs":false,"family":"Belder","given":"Eefje","email":"","middleInitial":"den","affiliations":[{"id":36496,"text":"PBL Netherlands Environmental Assessment Agency","active":true,"usgs":false}],"preferred":false,"id":772566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ghassen Halouani","contributorId":219567,"corporation":false,"usgs":false,"family":"Ghassen Halouani","affiliations":[{"id":40025,"text":"Galway-Mayo Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":772567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"HyeJin Kim","contributorId":219568,"corporation":false,"usgs":false,"family":"HyeJin Kim","affiliations":[{"id":40026,"text":"iDiv German Centre for Integrative Biodiversity Research","active":true,"usgs":false}],"preferred":false,"id":772568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Brian W. 0000-0003-1716-1161 bwmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":191731,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"bwmiller@usgs.gov","middleInitial":"W.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":false,"id":772563,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204562,"text":"70204562 - 2019 - Salmon, forage fish, and kelp","interactions":[],"lastModifiedDate":"2019-08-05T09:41:13","indexId":"70204562","displayToPublicDate":"2019-06-01T07:13:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Salmon, forage fish, and kelp","docAbstract":"Kelp beds are prominent features of northeast Pacific coastlines. They are seasonal in nature, as are the communities that use them. Here, juvenile and adult Chinook salmon (Oncorhynchus tshawytscha) – key components of northeast Pacific marine food webs that link plankton and forage fishes to endangered killer whales – have just arrived at the coastal kelp beds (left) and are feeding on the large schools of forage fish such as young‐of‐the‐year herring, which are also migrating in great numbers near the shore. Juvenile herring and smelt will soon move offshore to grow and feed, and finally return as adults to spawn along shorelines.
Rapid growth is critical to the survival of young salmon. They quickly learn to work together to herd the small, skittish prey into tight groups. The kelp beds play an important role for both the salmon and their prey, providing refuge for feeding salmon and enhanced prey resources for hungry forage fish, which in turn feed incessantly at the surface of the kelp beds, except when they are disrupted by lightning‐fast attacks by marauding salmon. By October, much of the kelp will be gone, as will the juvenile salmon and forage fish, replaced by their adult congeners (right) that have traveled for years and hundreds of miles to continue the cycle.
Globally, kelp forests are in flux. Disturbances, including those induced by climate change, may have serious implications not only for this critical nearshore phase of salmon and forage fish, but also for the future viability of our cold‐water northeast Pacific marine ecosystems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2056","usgsCitation":"Shaffer, A., Parks, D., Schoen, E.R., and Beauchamp, D., 2019, Salmon, forage fish, and kelp: Frontiers in Ecology and the Environment, v. 17, no. 5, p. 258-258, https://doi.org/10.1002/fee.2056.","productDescription":"1 p.","startPage":"258","endPage":"258","ipdsId":"IP-103000","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467573,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2056","text":"Publisher Index Page"},{"id":366094,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Anne","contributorId":168504,"corporation":false,"usgs":false,"family":"Shaffer","given":"Anne","email":"","affiliations":[],"preferred":false,"id":767573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parks, Dave","contributorId":217815,"corporation":false,"usgs":false,"family":"Parks","given":"Dave","email":"","affiliations":[{"id":39695,"text":"Coastal Watershed Institute PO Box 266 Port Angeles, Washington 98362","active":true,"usgs":false}],"preferred":false,"id":767574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoen, Erik R.","contributorId":184107,"corporation":false,"usgs":false,"family":"Schoen","given":"Erik","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":767575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767576,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216023,"text":"70216023 - 2019 - Modeling ash dispersal from future eruptions of Taupo supervolcano","interactions":[],"lastModifiedDate":"2020-11-04T01:14:42.675847","indexId":"70216023","displayToPublicDate":"2019-05-31T19:04:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Modeling ash dispersal from future eruptions of Taupo supervolcano","docAbstract":"Hazard analysis at caldera volcanoes is challenging due to the wide range of eruptive and environmental conditions that can plausibly occur during renewed activity. Taupo volcano, New Zealand, is a frequently active and productive rhyolitic caldera volcano that has hosted the world's youngest known supereruption and numerous smaller explosive events. To assess ashfall hazard from future eruptions, we have simulated atmospheric ash dispersal using the Ash3d model. We consider five eruption scenarios spanning magma volumes of 0.1–500 km3 and investigate the main factors governing ash dispersal in modern atmospheric conditions. Our results are examined in the context of regional synoptic weather patterns (Kidson types) that provide a framework for assessing the variability of ashfall distribution in different wind fields. For the smallest eruptions (~0.1‐km3 magma), ashfall thicknesses >1 cm are largely confined to the central North Island, with dispersal controlled by day‐to‐day weather and the dominance of westerly winds. With increasing eruptive volume (1–5‐km3 magma), ashfall thicknesses >1 cm would likely reach major population centers throughout the North Island. Dispersal is less dependent on weather patterns as the formation of a radially expanding umbrella cloud forces ash upwind or crosswind, although strong stratospheric winds significantly restrict umbrella spreading. For large eruptions (50–500‐km3 magma), powerful expansion of the umbrella cloud results in widespread ashfall at damaging thicknesses (>10 cm) across most of the North Island and top of the South Island. Synoptic climatology may prove a useful additional technique for long‐term hazard planning at caldera volcanoes.
Although development and urbanization are typically believed to have negative impacts on carnivoran species, some species can successfully navigate an urban matrix. Sympatric carnivorans compete for limited resources in urban areas, likely with system-specific impacts to their distributions and activity patterns. We used automatically triggered wildlife cameras to assess the local distribution and co-existence of Canis latrans (Coyote), Vulpes vulpes (Red Fox), and Urocyon cinereoargenteus (Gray Fox) across the Pioneer Valley, MA, in relation to different levels of human development. We placed cameras at 79 locations in forested, altered, and urban land-use areas from September to November 2012 and accumulated 1670 trap nights. We determined site characteristics and detection rates for 12 other wildlife species for each camera location to develop a generalized linear model for the local distribution of each focal canid species across the study area. We also compared diel activity patterns among Coyotes, Red Foxes, and Gray Foxes, and calculated coefficients of overlap between each pair. The local distribution of Coyotes was positively associated with the detection rates of their prey and not associated with detection rates of sympatric carnivoran species. Red Foxes and Gray Foxes had negative relationships with the detection rate of Coyotes, and none of the 3 canid species showed a positive correlation with increased levels of urbanization. There was a high degree of temporal overlap in diel activity patterns and limited spatial overlap of our focal species, which suggests that any competition avoidance across our study area occurred at the spatial level. Coyotes fill the role of top predator in the Pioneer Valley, and likely have a negative impact on the local distributions of smaller canids, while their own local distributions seem to be driven by prey availability.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.026.0208","usgsCitation":"LeFlore, E.G., Fuller, T.K., Finn, J.T., Organ, J.F., and DeStefano, S., 2019, Wild canid distribution and co-existence in a natural–urban matrix of the Pioneer Valley of Western Massachusetts: Northeastern Naturalist, v. 26, no. 2, p. 325-342, https://doi.org/10.1656/045.026.0208.","productDescription":"18 p.","startPage":"325","endPage":"342","ipdsId":"IP-070732","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":364399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachesetts","county":"Franklin County, Hampshire County","otherGeospatial":"Pioneer Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.58255004882812,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.30067461858169\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LeFlore, Eric G.","contributorId":216045,"corporation":false,"usgs":false,"family":"LeFlore","given":"Eric","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":763749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Todd K.","contributorId":216046,"corporation":false,"usgs":true,"family":"Fuller","given":"Todd","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":763750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":763751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":763432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":763433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203850,"text":"70203850 - 2019 - Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","interactions":[],"lastModifiedDate":"2019-06-18T15:29:29","indexId":"70203850","displayToPublicDate":"2019-05-31T15:27:43","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","docAbstract":"Whitebark pine (Pinus albicaulis) grows at high elevations and in subalpine communities in the Pacific Northwest and Northern Rocky Mountains. Limber pine (Pinus flexilis) occurs in western North America across a broad elevational gradient from the Canadian Rocky Mountains into parts of New Mexico and Arizona and from southern California eastward to the few, isolated populations existing on the western boundary of the Dakotas and Nebraska (Steele 1990, Schoettle and Rochelle 2000). Both of these five-needle pine species play a variety of ecological roles and are considered key components in the their environments. Currently, whitebark pine and limber pine are being impacted by multiple ecological disturbances. White pine blister rust, caused by the introduced fungus Cronartium ribicola, mountain pine beetle (Dendroctonus ponderosae), dwarf mistletoe (Arceuthobium spp.), wildfires, and drought all pose significant threats to the persistence of healthy five-needle populations. An effort was initiated in 2013 by the National Park Service and the Wyoming Bureau of Land Management (WYBLM) to evaluate and monitor the long-term health trajectory of five-needle pines on WYBLM lands within the Greater Yellowstone Ecosystem (GYE). With guidance from the Interagency Whitebark Pine Monitoring Program protocol, and employing a rapid assessment survey technique specifically designed for this endeavor, we monitored whitebark pine trees in 2013, 2014, 2016, 2017. We estimated the proportion of live, five-needle pine trees (>1.4 m tall) infected with white pine blister rust, documented blister rust infection severity by the occurrence and location of persisting and new infections, determined mortality of five-needle pine trees and described potential factors contributing to the death of trees, and assessed the multiple components of recruitment of understory five-needle pine into the reproductive population. White pine blister rust was widespread throughout WYBLM lands within the GYE. Using a combined ratio estimator we found that the proportion of live, >1.4 m tall five-needle pine trees infected with white pine blister rust was 0.156 (±0.054 SE; this estimate combines all surveyed trees). Bole cankers were 25% more prevalent than branch cankers in all five-needle pines observed. Mortality of surveyed trees on WYBLM lands was predominantly attributed to mountain pine beetle. For seedlings and saplings, a total of 4003 live, ≤1.4 m tall five-needle pines were documented. Cones or cone scars were recorded on 745 of the live trees. Of these reproducing trees, 44 were recorded with white pine blister rust infection. Long-term monitoring on five-needle pines on WYBLM lands will continue into the future.","language":"English","publisher":"National Park Service","usgsCitation":"Erin Shanahan, Kristin Legg, Daley, R., Irvine, K., Siri Wilmoth, and Jackson, J., 2019, Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017, 102 p.","productDescription":"102 p.","ipdsId":"IP-107458","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364730,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/626202"}],"country":"United 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\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erin Shanahan","contributorId":216296,"corporation":false,"usgs":false,"family":"Erin Shanahan","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kristin Legg","contributorId":216297,"corporation":false,"usgs":false,"family":"Kristin Legg","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":172333,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","email":"","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":764453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn","contributorId":216295,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":764450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siri Wilmoth","contributorId":173520,"corporation":false,"usgs":false,"family":"Siri Wilmoth","affiliations":[{"id":27240,"text":"Wilmoth Statistical Consulting, Gardiner, MT","active":true,"usgs":false}],"preferred":false,"id":764454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Joshua","contributorId":216298,"corporation":false,"usgs":false,"family":"Jackson","given":"Joshua","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":764455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203690,"text":"70203690 - 2019 - Surrogate model development for coastal dune erosion under storm conditions","interactions":[],"lastModifiedDate":"2019-06-21T15:33:04","indexId":"70203690","displayToPublicDate":"2019-05-31T15:27:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Surrogate model development for coastal dune erosion under storm conditions","docAbstract":"Early coastal dune erosion predictions are essential to avoid potential flood consequences but most dune erosion numerical models are computationally expensive, hence their application in Early Warning Systems is limited. Here, based on a combination of optimally sampled synthetic sea storms with a calibrated and validated XBeach model, we develop a surrogate model capable of producing fast and accurate dune erosion predictions under storm conditions when water level and wave forecasts are available. The analysis is performed on Dauphin Island, AL, where we train Multiple Linear Regression Models with oceanographic forcing from the selected sea storms (i.e., XBeach input) and predicted changes in the dune system (i.e., XBeach output). Surrogate model performance is assessed with a rigorous k-fold cross validation. Although changes in the location of dune features are not well predicted, the model attains good performance when predicting changes in dune elevation, barrier-island width and volume.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 9th Coastal Sediments Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","doi":"10.1142/9789811204487_0116","usgsCitation":"Malagon-Santos, V., Wahl, T., Long, J.W., Passeri, D., and Plant, N.G., 2019, Surrogate model development for coastal dune erosion under storm conditions, in Proceedings of the 9th Coastal Sediments Conference, p. 1327-1339, https://doi.org/10.1142/9789811204487_0116.","productDescription":"13 p.","startPage":"1327","endPage":"1339","ipdsId":"IP-104933","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.3469009399414,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.22377177047543\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagon-Santos, Victor","contributorId":216004,"corporation":false,"usgs":false,"family":"Malagon-Santos","given":"Victor","email":"","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":763629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Thomas","contributorId":141017,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":763630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W","contributorId":216005,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":763632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206426,"text":"70206426 - 2019 - Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","interactions":[],"lastModifiedDate":"2019-11-04T11:49:31","indexId":"70206426","displayToPublicDate":"2019-05-31T11:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","docAbstract":"The Cordilleran Ice sheet covered most of southeastern Alaska during the Last Glacial Interval (LGI: Marine Isotope Stage 2). Ice began to recede from western Alexander Archipelago ~17,000 + 700 yr BP. In this study pollen analysis and radiocarbon dating of three sediment cores were used to reconstruct, for the first time, the postglacial development of vegetation of the northwestern Alexander Archipelago during the past ~15,240 cal yr. Hummingbird Lake (HL), on southwestern Baranof Island, yielded a sediment core with one of the longest dated records from southeastern Alaska. The earliest part of the HL pollen record (~15,240-14,040 yr BP) indicates that the earliest vegetation was pine (Pinus contorta subsp. contorta) parkland with willows (Salix), heaths (Ericaceae), sedges (Cyperaceae), grasses (Poaceae), herbs and ferns. Starting at ~14,040 yr BP, alder (Alnus) rapidly colonized the area as pine populations declined. By 11,400 yr BP, Sitka spruce (Picea sitchensis) colonized the area, and soon became the dominant conifer. Mountain hemlock (Tsuga mertensiana) also colonized the area by ~11,400 yr BP, followed by western hemlock (Tsuga heterophylla) at ~10,200 yr BP. By ~9200 yr BP, western hemlock had become the dominant species in the area. During the late Holocene yellow cedar (Chamaecyparis nootkatensis) became established. Two marine sediment cores were also analyzed for pollen, with the oldest core from Lower Sitka Sound, between Kruzof and Baranof Islands. The lower part of the core consists of interlayered tephras and freshwater lake muds that are estimated to be ~13,150 to 14,000 yr BP. Pollen evidence indicates that the early postglacial vegetation around Sitka Sound was pine parkland with alders and abundant ferns. Damage to vegetation around Sitka Sound by volcanic eruptions is suggested by abrupt, large shifts in alder and pine pollen, and fern spores in samples adjacent to tephra layers. A marine sediment core from Slocum Arm, a fjord on the western coast of Chichagof Island, has a basal age of ~10,000 yr BP. The pollen record is similar to the Holocene pollen record at Hummingbird Lake. The sequence of vegetation changes interpreted from the three northwestern Alexander Archipelago pollen records are similar to those from other well-dated sites in southeastern Alaska, although chronologies differ between sites.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2019.00104","collaboration":"none","usgsCitation":"Ager, T.A., 2019, Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska: Frontiers in Earth Science, v. 7, p. 1-25, https://doi.org/10.3389/feart.2019.00104.","productDescription":"104, 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-103102","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00104","text":"Publisher Index Page"},{"id":368923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368904,"type":{"id":15,"text":"Index Page"},"url":"https://www.frontiersin.org/articles/10.3389/feart.2019.00104/full"}],"country":"United States","state":"Alaska","otherGeospatial":"Western coastal areas of northwestern Alexander Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.09765625,\n 60.13056361691419\n ],\n [\n -140.9765625,\n 59.5343180010956\n ],\n [\n -133.4619140625,\n 54.1109429427243\n ],\n [\n -130.341796875,\n 55.32914440840507\n ],\n [\n -130.3857421875,\n 56.022948079627454\n ],\n [\n -132.5390625,\n 56.92099675839107\n ],\n [\n -132.626953125,\n 57.27904276497778\n ],\n [\n -134.912109375,\n 59.153403092050375\n ],\n [\n -135.615234375,\n 59.66774058164963\n ],\n [\n -137.197265625,\n 58.88194208135912\n ],\n [\n -137.76855468749997,\n 58.790978406215565\n ],\n [\n -139.3505859375,\n 60.28340847828243\n ],\n [\n -140.09765625,\n 60.13056361691419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":774506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70205810,"text":"70205810 - 2019 - Handbook to the partners in flight population estimates database, version 3.0","interactions":[],"lastModifiedDate":"2019-10-08T07:08:41","indexId":"70205810","displayToPublicDate":"2019-05-31T11:45:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5870,"text":"Partners in Flight Technical Publication","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"7","title":"Handbook to the partners in flight population estimates database, version 3.0","docAbstract":"This document describes the content of Version 3.0 of the Partners in Flight (PIF) Population Estimates Database, which provides population estimates for breeding USA/Canada landbirds at several geographic scales following the Partners in Flight approach described initially in Rich et al. (2004) and by Rosenberg and Blancher (2005) and most recently refined by Stanton et al. (2019). The Handbook also provides details about how the estimates were derived, information on limitations and caveats, a guide to using the estimates, and future desired directions for improving the estimates.\n\nThis version of the database is intended as a companion to the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016), although estimates for most species included in the database have been updated from those used in the 2016 Plan. Most of the estimates in the database are based on North American Breeding Bird Survey (BBS) data for landbirds from the decade 2006–2015. The information in this 2019 Version of the Handbook, for Version 3.0 of the database, describes all changes that have been made to the database since 2007 (Version 1.0, cf. Blancher et al. 2007)—including the additions documented in the Handbook for Version 2.0 (Blancher et al. 2013)—and therefore serves as a single source document describing the current database.\n\nVersion 3.0 of the database addresses some of the recommendations suggested by Thogmartin et al. (2006) but does not yet fully address other limitations noted by Thogmartin et al. (2006), Blancher et al. (2007), Thogmartin (2010), Matsuoka et al. (2012), and Twedt (2015). By far, the most substantial change to the database comprises the incorporation of quantitative uncertainty bounds around population estimates for most species (see Stanton et al. 2019 for details). PIF Science anticipates that future versions of the database will occur in stages: first, improving elements of the basic PIF approach (e.g., incorporating more recent BBS data, updating Time of Day Adjustments, and refining Pair Adjustments); next, addressing additional concerns inherent in the PIF approach (e.g., replacing average maximum detection distance bins with research-derived species-specific effective detection radii); and later, perhaps replacing the sample-based PIF approach with a spatially-explicit, model-based (pixel-based) approach that more deliberately incorporates habitat and road biases and the proportion of birds available but not detected by current sampling methodology.\n\nThis current Version 3.1 of the Handbook updates citations in the Literature Cited and incorporates relatively minor improvements in text clarity over the previous 3.0 version. The content of the Population Estimates Database itself remains the same except for changes to the global and USA/Canada estimates for Northern Bobwhite and Black Vulture.","language":"English","publisher":"Partners in Flight and Bird Conservancy of the Rockies","usgsCitation":"Will, T., Stanton, J.C., Rosenberg, K.V., Panjabi, A.O., Camfield, A., Shaw, A., Thogmartin, W.E., and Blancher, P.J., 2019, Handbook to the partners in flight population estimates database, version 3.0: Partners in Flight Technical Publication 7, 38 p.","productDescription":"38 p.","ipdsId":"IP-106689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":368039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368002,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/PopEstimates/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Will, Tom","contributorId":149777,"corporation":false,"usgs":false,"family":"Will","given":"Tom","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":772445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":772444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":772446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camfield, Alaine","contributorId":219517,"corporation":false,"usgs":false,"family":"Camfield","given":"Alaine","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":772448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, Allison","contributorId":219518,"corporation":false,"usgs":false,"family":"Shaw","given":"Allison","email":"","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":772450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":772451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205618,"text":"70205618 - 2019 - Using a GIS to populate 3D geocellular geologic models","interactions":[],"lastModifiedDate":"2019-09-27T11:25:58","indexId":"70205618","displayToPublicDate":"2019-05-31T11:25:48","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Using a GIS to populate 3D geocellular geologic models","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic Mapping Forum 2019 Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"April 10-12, 2019","conferenceLocation":"Minneapolis, MN","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Sweetkind, D., and Cromwell, G., 2019, Using a GIS to populate 3D geocellular geologic models, in Geologic Mapping Forum 2019 Abstracts, Minneapolis, MN, April 10-12, 2019, p. 86-87.","productDescription":"2 p.","startPage":"86","endPage":"87","ipdsId":"IP-105944","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":367779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367772,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/202386"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":771884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223409,"text":"70223409 - 2019 - Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","interactions":[],"lastModifiedDate":"2021-08-27T13:17:55.770407","indexId":"70223409","displayToPublicDate":"2019-05-31T10:54:45","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","docAbstract":"Shoreline variability over timescales ranging from days to decades is examined at NASA-Kennedy Space Center on the Atlantic coast of Florida. Three sources of shoreline position data are utilized to complete this analysis: hourly video-image observations, monthly Real Time Kinematic GPS observations, and historical aerial imagery dating back to 1943. We find that shoreline positions tend to respond coherently to monthly variations in wave energy, except during storm-driven shoreline change. A seasonal signal in shoreline behavior is also evident, however this signal becomes indiscernible after a rapid change in morphologic behavior following Hurricane Sandy’s impact in October 2012. Further, the spatial pattern of shoreline change following Sandy’s impact mimics decadal-scale trends, suggesting that response to large storms may be controlling decadal shoreline change behavior at this site.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0194","usgsCitation":"Conlin, M.P., Adams, P., Plant, N., Jaeger, J., and Mackenzie, R., 2019, Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales, in Coastal sediments 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 2268-2281, https://doi.org/10.1142/9789811204487_0194.","productDescription":"14 p.","startPage":"2268","endPage":"2281","ipdsId":"IP-105374","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":388546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -440.9046936035156,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.396232711680433\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Conlin, Matthew P.","contributorId":239947,"corporation":false,"usgs":false,"family":"Conlin","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":821980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Peter N.","contributorId":264783,"corporation":false,"usgs":false,"family":"Adams","given":"Peter N.","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":821981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel 0000-0002-5703-5672","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":81234,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaeger, John M.","contributorId":264788,"corporation":false,"usgs":false,"family":"Jaeger","given":"John M.","affiliations":[{"id":54552,"text":"U. Floridaw","active":true,"usgs":false}],"preferred":false,"id":821983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackenzie, Richard","contributorId":264789,"corporation":false,"usgs":false,"family":"Mackenzie","given":"Richard","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":821984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203939,"text":"70203939 - 2019 - Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","interactions":[],"lastModifiedDate":"2019-06-25T10:49:47","indexId":"70203939","displayToPublicDate":"2019-05-31T10:49:40","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","docAbstract":"We examined habitat use and foraging activity of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus), as well as nocturnal aerial insect abundance at Kaloko-Honōkohau National Historical Park located in the coastal region of Kailua-Kona, Hawai‘i Island. We evaluated bat activity in two habitat types, wooded shorelines beside brackish water fishponds and xeric lava fields dominated by two invasive plant species: white leadwood (Leucaena leucocephala, Fabaceae), and fountain grass (Cenchrus setaceus, Poaceae). We recorded bat echolocation calls at seven acoustic stations that operated nightly from November 2013 through February 2015. Additionally, three UV light traps were used to collect insects at three locations from dusk to dawn in January, April, July and November 2014. Bat acoustic activity showed seasonal patterns in pulse counts, call-events, feeding buzzes and frequency of occurrence with three major peaks in bat echolocation activity in November–December 2013, April–May 2014, and August–December 2014. Overall, bat acoustic activity was greatest at the shoreline of Kaloko Fishpond. Although there were no significant differences in insect biomass among collection stations, Hawaiian hoary bats use the Park as an important foraging habitat.","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Montoya-Aiona, K., Pinzari, C., and Bonaccorso, F.J., 2019, Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park, 32 p.","productDescription":"32 p.","ipdsId":"IP-107487","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":365006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364942,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/4598"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.03495597839355,\n 19.683323713331085\n ],\n [\n -156.0329818725586,\n 19.679686975321534\n ],\n [\n -156.03057861328125,\n 19.67847471097097\n ],\n [\n -156.02783203124997,\n 19.6770199816421\n ],\n [\n -156.02620124816895,\n 19.67289817681867\n ],\n [\n -156.02740287780762,\n 19.67095846727654\n ],\n [\n -156.02808952331543,\n 19.670392714238027\n ],\n [\n -156.02474212646484,\n 19.670796823755015\n ],\n [\n -156.0161590576172,\n 19.67225160957976\n ],\n [\n -156.02002143859863,\n 19.67960615798355\n ],\n [\n -156.02070808410645,\n 19.68469757064597\n ],\n [\n -156.02242469787598,\n 19.689869633655256\n ],\n [\n -156.02482795715332,\n 19.693344519658552\n ],\n [\n -156.03650093078613,\n 19.689950445814254\n ],\n [\n -156.03495597839355,\n 19.683323713331085\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":764849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinzari, Corinna A. 0000-0001-9794-7564","orcid":"https://orcid.org/0000-0001-9794-7564","contributorId":208455,"corporation":false,"usgs":false,"family":"Pinzari","given":"Corinna A.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":764850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonaccorso, Frank J 0000-0002-5490-3083","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":216486,"corporation":false,"usgs":false,"family":"Bonaccorso","given":"Frank","email":"","middleInitial":"J","affiliations":[{"id":39456,"text":"USGS-PIERC (formerly)","active":true,"usgs":false}],"preferred":false,"id":764851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215493,"text":"70215493 - 2019 - Insights into pāhoehoe lava emplacement using visible and thermal structure-from-motion photogrammetry","interactions":[],"lastModifiedDate":"2020-10-21T15:51:11.366318","indexId":"70215493","displayToPublicDate":"2019-05-31T10:47:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Insights into pāhoehoe lava emplacement using visible and thermal structure-from-motion photogrammetry","docAbstract":"We present the evolution over 3 months of a 2016–2017 pāhoehoe flow at Kīlauea as it changed from a narrow sheet flow into a compound lava field fed by a stable system of tubes. The portion of the flow located on Kīlauea's coastal plain was characterized using helicopter‐based visible and thermal structure‐from‐motion photogrammetry to construct a series of georeferenced digital surface models and thermal maps on eight different days. Results reveal key influences on the emplacement and evolution of such long‐lived pāhoehoe flows. This region of the flow grew by ~12 × 106 m3 with a near‐constant time‐average discharge rate of 1.2–2.7 m3/s. The development of two tube systems is captured and shows an initial nascent tube enhanced by a narrow topographic confinement, which later inflated and created a topographic inversion that modulated the emplacement of a second flow lobe with its own tube system. The analysis of breakouts at various stages of the field's life suggests that the evolution of the thermal and morphological properties of the flow surface reflect its maturity. Thermal properties of breakouts were used to expand the empirical relationship of breakout cooling to longer timescales. This study contributes to the long‐term development and validation of more accurate predictive models for pāhoehoe, required during the management of long‐lasting lava flow crises in Hawai'i and elsewhere.
Satellite derived shorelines are extracted using the Google Earth Engine API for Landsat and Sentinel satellites from 1984 through 2018. These shorelines are evaluated against existing surveys and show satellite-derived breach shorelines are in good agreement with directly-observed shorelines and capture the trend of the Fire Island wilderness breach evolution. Results of this study show the wilderness breach resulted in down drift shoreline erosion at a rate greater than the historical average within 4 km of the breach. This study demonstrates the benefits of utilizing satellite observations for monitoring the full extent of breach development and resulting shoreline changes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0007","usgsCitation":"Nelson, T., and Miselis, J.L., 2019, Method for observing breach geomorphic evolution: Satellite observation of the Fire Island Wilderness breach, in Coastal Sediments 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 71-84, https://doi.org/10.1142/9789811204487_0007.","productDescription":"14 p.","startPage":"71","endPage":"84","ipdsId":"IP-105818","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island Wilderness breach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.88045704857345,\n 40.7386289733175\n ],\n [\n -72.9229595443374,\n 40.7386289733175\n ],\n [\n -72.9229595443374,\n 40.70933604608808\n ],\n [\n -72.88045704857345,\n 40.70933604608808\n ],\n [\n -72.88045704857345,\n 40.7386289733175\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888680,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223766,"text":"70223766 - 2019 - Forest restoration, wildfire, and habitat selection by female mule deer","interactions":[],"lastModifiedDate":"2021-09-07T15:42:59.985176","indexId":"70223766","displayToPublicDate":"2019-05-31T10:32:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Forest restoration, wildfire, and habitat selection by female mule deer","docAbstract":"Decades of fire suppression, logging, and overgrazing have led to increased densities of small diameter trees which have been associated with decreases in biodiversity, reduced habitat quality for wildlife species, degraded foraging conditions for ungulates, and more frequent and severe wildfires. In response, land managers are implementing forest restoration treatments using prescribed fire and thinning to mitigate the risk of catastrophic wildfires and improve habitat conditions for a variety of wildlife species. We monitored habitat selection by female mule deer (Odocoileus hemionus) in relation to forest restoration treatments and wildfires in northern New Mexico in 2015. Our specific objectives were to assess changes in forage abundance and determine habitat selection patterns of mule deer in relation to recent wildfires, forest restoration treatments, including duration of the post-treatment recovery, and other habitat characteristics. Herbaceous forage biomass was greater in wildfire-burned areas than in untreated areas or those treated with prescribed burns or thinning. Oak forage biomass was greater in wildfire-burned areas compared to prescribed burns, forest thinning, and untreated areas. However, thinned areas tended to have higher oak forage biomass than untreated areas. Mule deer selected for areas burned by prescribed fire and generally avoided wildfire-burned and thinned areas <5 years old. Mule deer strongly selected for thinned areas ≥5 years old. At both the landscape and home-range scale, grasslands were avoided during most seasons, pinyon-juniper woodlands were selected in winter, and oak vegetation and mixed-conifer forests were selected during summer. Our data suggests that mule deer may benefit from recent prescribed burns and older forest thinning, but the duration of post-treatment vegetation recovery influences the strength and direction of selection. Knowledge of the short- and long-term effects of restoration treatments will provide managers with the means to make more informed decisions regarding implementation of forest restoration and other vegetation treatments intended to benefit mule deer.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.05.067","usgsCitation":"Roerick, T.M., Cain, J.W., and Gedir, J., 2019, Forest restoration, wildfire, and habitat selection by female mule deer: Forest Ecology and Management, v. 447, p. 169-179, https://doi.org/10.1016/j.foreco.2019.05.067.","productDescription":"11 p.","startPage":"169","endPage":"179","ipdsId":"IP-105337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.05.067","text":"Publisher Index Page"},{"id":388880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.88873291015625,\n 35.575799570297406\n ],\n [\n -106.63192749023438,\n 35.575799570297406\n ],\n [\n -106.63192749023438,\n 35.94688293218141\n ],\n [\n -106.88873291015625,\n 35.94688293218141\n ],\n [\n -106.88873291015625,\n 35.575799570297406\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"447","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roerick, Tanya M.","contributorId":265344,"corporation":false,"usgs":false,"family":"Roerick","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":822584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gedir, J. V.","contributorId":265345,"corporation":false,"usgs":false,"family":"Gedir","given":"J. V.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":822586,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228866,"text":"70228866 - 2019 - Evaluation of five pulicides to suppress fleas on black-tailed prairie dogs: Encouraging long-term results with systemic 0.005% fipronil","interactions":[],"lastModifiedDate":"2022-02-23T16:19:28.279668","indexId":"70228866","displayToPublicDate":"2019-05-31T10:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of five pulicides to suppress fleas on black-tailed prairie dogs: Encouraging long-term results with systemic 0.005% fipronil","docAbstract":"Plague, a flea-borne disease, hampers efforts to restore populations of black-footed ferrets (Mustela nigripes), which occupy colonies of prairie dogs (Cynomys spp.) in North America. Plague is managed by infusing prairie dog burrows with DeltaDust® 0.05% deltamethrin, a pulicide that kills fleas. Experiments are needed to identify pulicides that can be used in rotation with DeltaDust for integrated plague management. In South Dakota, USA, we tested the efficacy of four pulicide dusts when applied at a rate of 8 g per burrow on colonies of black-tailed prairie dogs (Cynomys ludovicianus): Sevin® 5% carbaryl; Dusta-cide® 6% malathion; Alpine® 0.25% dinotefuran with 95% diatomaceous earth; and Tri-Die® 1% pyrethrum with 40% amorphous silica and 10% piperonyl butoxide. We also tested systemic 0.005% fipronil, which was distributed as ½ cup of laced grain per burrow. We sampled prairie dogs on 3294 occasions and detected 10,041 fleas. Sevin and Dusta-cide suppressed fleas but only for 1 month. Neither Alpine nor Tri-Die had any noticeable, consistent effect on fleas. Fipronil suppressed fleas by 97–100% for 3 months. The residual effect of fipronil persisted for ∼12 months. Efficacy of fipronil seems comparable with DeltaDust, which exhibited a residual effect for ∼10 months in prior studies. Continued research is needed to optimize fipronil treatments for plague management on prairie dog colonies.
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The geophysical investigation included electromagnetic induction, electrical resistivity tomography, horizontal-to-vertical spectral ratio passive seismic, and shear-wave refraction to characterize the unconsolidated sediment or regolith above the bedrock and the depth to crystalline bedrock. Water-based electromagnetic surveys and forward looking infrared imagery were used along the lake shoreline to identify potential groundwater-surface water interactions. Nested piezometers were installed at two locations along the shoreline to further characterize and validate the groundwater-surface water interactions identified with geophysical methods. Collectively, geophysical surveys were used to evaluate the overall suitability of the proposed site for use as a mine waste-soil and sediment repository and to evaluate this suite of geophysical methods for rapid collection and assessment of very shallow sediments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2019","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/sageep.32-031","usgsCitation":"Johnson, C., White, E.A., Werkema, D.D., Terry, N., Phillips, S.N., Ford, R., and Lane, J., 2019, Geophysical assessment of a proposed landfill site in Fredericktown, Missouri, in Symposium on the application of geophysics to engineering and environmental problems proceedings, p. 124-128, https://doi.org/10.4133/sageep.32-031.","productDescription":"5 p.","startPage":"124","endPage":"128","ipdsId":"IP-119905","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460375,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7510955","text":"External Repository"},{"id":437438,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EL99BD","text":"USGS data release","linkHelpText":"Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018"},{"id":380976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Fredericktown","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.4669189453125,\n 37.45741810262938\n ],\n [\n -90.1593017578125,\n 37.45741810262938\n ],\n [\n -90.1593017578125,\n 37.67512527892127\n ],\n [\n -90.4669189453125,\n 37.67512527892127\n ],\n [\n -90.4669189453125,\n 37.45741810262938\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":806051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":806055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":806052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":806053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Stephanie N. 0000-0002-2022-7726","orcid":"https://orcid.org/0000-0002-2022-7726","contributorId":214857,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":806056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, Robert","contributorId":214858,"corporation":false,"usgs":false,"family":"Ford","given":"Robert","email":"","affiliations":[{"id":37063,"text":"U.S. Environmental Protection Agency, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":806057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":806058,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217380,"text":"70217380 - 2019 - Signatures of adaptive divergence among populations of an avian species of conservation","interactions":[],"lastModifiedDate":"2021-01-20T14:32:15.730333","indexId":"70217380","displayToPublicDate":"2019-05-31T08:30:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Signatures of adaptive divergence among populations of an avian species of conservation","docAbstract":"Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting of seven discrete populations, each with distinctly different habitat and climatic conditions. Though geographically close, populations have low levels of natural gene flow resulting in relatively high levels of differentiation. Here, we use 15,033 SNP loci in genomic outlier analyses, genotype–environment association analyses, and gene ontology enrichment tests to examine patterns of putatively adaptive genetic differentiation in an avian species of conservation concern. We found 411 loci within 5 kbp of 289 putative genes associated with biological functions or pathways that were overrepresented in the assemblage of outlier SNPs. The identified gene set was enriched for cytochrome P450 gene family members (CYP4V2, CYP2R1, CYP2C23B, CYP4B1) and could impact metabolism of plant secondary metabolites, a critical challenge for sagebrush obligates. Additionally, the gene set was also enriched with members potentially involved in antiviral response (DEAD box helicase gene family and SETX). Our results provide a first look at local adaption for isolated populations of a single species and suggest adaptive divergence in multiple metabolic and biochemical pathways may be occurring. This information can be useful in managing this species of conservation concern, for example, to identify unique populations to conserve, avoid translocation or release of individuals that may swamp locally adapted genetic diversity, or guide habitat restoration efforts.