Most geothermal resources in the Great Basin region of the western USA are blind, and thus the discovery of new commercial-grade systems requires synthesis of favorable characteristics for geothermal activity. The geothermal play fairway concept involves integration of multiple parameters indicative of geothermal activity to identify promising areas for new development. This project integrated multiple datasets to apply the play fairway concept and assess geothermal potential in a large region of the Great Basin in Nevada. It is therefore referred to as the Nevada play fairway project. This project was a strong collaborative effort between several organizations, led by the Nevada Bureau of Mines and Geology at the University of Nevada, Reno, but with key support from the U.S. Geological Survey, ATLAS Geosciences, Inc,, Hi-Q Geophysical, Inc., Lawrence Berkeley National Laboratory, Utah Geological Survey, and Innovative Geothermal Ltd. In Budget Period 1 of this project, available data for nine geologic, geochemical, and geophysical parameters were initially synthesized to produce a new detailed geothermal potential map of 96,000 km2 from west-central to eastern Nevada (Figure 1). These parameters were grouped into subsets and individually weighted (Figure 2) to delineate rankings for local permeability, intermediate permeability, regional permeability, and thermal potential, which collectively defined geothermal play fairways (i.e., most likely locations for significant geothermal fluid flow). This initial work was aimed at reducing the risks in regional exploration and therefore facilitating discovery of new commercial-grade systems in blind settings, as well as in areas with surface expressions of geothermal activity. Budget Period 2 of the project involved detailed analysis of some of the most promising areas identified in Phase 1. Twenty-four highly prospective areas, including both known undeveloped systems and previously undiscovered potential blind systems, were identified for further analysis (Figures 3 and 4). After reconnaissance of these areas, five of the most promising sites were selected for detailed studies. Multiple techniques were employed in the detailed studies, including geologic mapping, shallow temperature surveys, gravity surveys, Lidar, geochemical studies, seismic reflection analysis, and 3D modeling. The goal of the detailed studies was to identify specific areas with the highest likelihood for high permeability and thermal fluids, such that drill sites could be targeted. Three main sets of predictive maps were generated for each detailed study area: 1) play fairway maps, 2) play fairway error maps, and 3) direct evidence maps. Local- and intermediate-scale permeability models were revised to reflect results of the detailed geologic, geophysical, and geochemical analyses. Budget Period 3 of the project involved more detailed geophysical analyses and temperature-gradient (TG) drilling in southeastern Gabbs Valley and northern Granite Springs Valley (Figure 4), deemed the two most promising sites, with the goal of providing preliminary validation of the play fairway methodology. In southeastern Gabbs Valley, the collocation of a favorable structural setting (displacement transfer zone and fault intersections), Quaternary faults, intersecting and terminating gravity gradients, magnetic low, shallow (2 m) temperature anomaly, low resistivity anomaly, and promising geothermometry from nearby water wells provided evidence for a blind system. Drilling of six TG holes defines an apparent geothermal system at this locality with temperatures as high as 124°C at 152 m. This system is blind, with no surface hot springs, fumaroles, or paleo-geothermal deposits. For northern Granite Springs Valley, a favorable structural setting (termination of a major Quaternary normal fault), terminating gravity gradient, magnetic gradient, newly discovered sinter deposits, nearby warm water wells, previously drilled TG holes in the vicinity, and promising geothermometry suggest a hidden system. Drilling of six new TG holes yields temperatures of ~96°C at ~250 m, suggesting the presence of a geothermal system. Major lessons learned in the course of this project include: 1) initially identified sites commonly include multiple favorable structural settings at a finer scale; 2) promising sites in Cenozoic basins cannot be recognized without detailed geophysical surveys; and 3) play fairway analysis should be refined as the exploration program vectors into the most promising sites and finer-scale data are acquired. In addition to producing copious amounts of data, this project resulted in 16 published papers, 10 abstracts, more than 40 presentations across the U.S. and abroad (including several keynote addresses), 2 Masters theses, and 7 media reports.
Radial and linear dike swarms in the eroded roots of volcanoes and along rift zones are sensitive structural indicators of conduit and eruption geometry that can record regional paleostress orientations. Compositionally diverse dikes and larger intrusions that radiate westward from the polycyclic Platoro caldera complex in the Southern Rocky Mountain volcanic field (southwestern United States) merge in structural trend, composition, and age with the enormous but little-studied Dulce swarm of trachybasaltic dikes that continue southwest and south for ∼125 km along the eastern margin of the Colorado Plateau from southern Colorado into northern New Mexico. Some Dulce dikes, though only 1–2 m thick, are traceable for 20 km. More than 200 dikes of the Platoro-Dulce swarm are depicted on regional maps, but only a few compositions and ages have been published previously, and relations to Platoro caldera have not been evaluated. Despite complications from deuteric alteration, bulk compositions of Platoro-Dulce dikes (105 new X-ray fluorescence and inductively coupled plasma mass spectrometry analyses) become more mafic and alkalic with distance from the caldera. Fifty-eight (58) new 40Ar/39Ar ages provide insight into the timing of dike emplacement in relation to evolution of Platoro caldera (source of six regional ignimbrites between 30.3 and 28.8 Ma). The majority of Dulce dikes were emplaced during a brief period (26.5–25.0 Ma) of postcaldera magmatism. Some northeast-trending dikes yield ages as old as 27.5 Ma, and the northernmost north-trending dikes have younger ages (20.1–18.6 Ma). In contrast to high-K lamprophyres farther west on the Colorado Plateau, the Dulce dikes are trachybasalts that contain only anhydrous phenocrysts (clinopyroxene, olivine). Dikes radial to Platoro caldera range from pyroxene- and hornblende-bearing andesite to sanidine dacite, mostly more silicic than trachybasalts of the Dulce swarm. Some distal andesite dikes have ages (31.2–30.4 Ma) similar to those of late precaldera lavas; ages of other proximal dikes (29.2–27.5 Ma) are akin to those of caldera-filling lavas and the oldest Dulce dikes. The largest radial dikes are dacites that have yet younger sanidine 40Ar/39Ar ages (26.5–26.4 Ma), similar to those of the main Dulce swarm.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02068.1","usgsCitation":"Lipman, P.W., and Zimmerer, M.J., 2019, Magmato-tectonic links: Ignimbrite calderas, regional dike swarms, and the transition from arc to rift in the Southern Rocky Mountains: Geosphere, v. 15, no. 6, p. 1893-1926, https://doi.org/10.1130/GES02068.1.","productDescription":"34 p.","startPage":"1893","endPage":"1926","ipdsId":"IP-099412","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02068.1","text":"Publisher Index Page"},{"id":463051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Southern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.72050712008375,\n 40.432731172362224\n ],\n [\n -108.72050712008375,\n 36.565245969445655\n ],\n [\n -104.15019462008387,\n 36.565245969445655\n ],\n [\n -104.15019462008387,\n 40.432731172362224\n ],\n [\n -108.72050712008375,\n 40.432731172362224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":916166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerer, Matthew J.","contributorId":191162,"corporation":false,"usgs":false,"family":"Zimmerer","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":916167,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70206033,"text":"70206033 - 2019 - Impacts to wildlife of wind energy siting and operation in the United States","interactions":[],"lastModifiedDate":"2019-10-18T06:32:54","indexId":"70206033","displayToPublicDate":"2019-09-29T11:54:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2121,"text":"Issues in Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Impacts to wildlife of wind energy siting and operation in the United States","docAbstract":"Electricity from wind energy is a major contributor to the strategy to reduce greenhouse gas emissions from fossil fuel use and thus reduce the negative impacts of climate change. Wind energy, like all power sources, can have adverse impacts on wildlife. After nearly 25 years of focused research, these impacts are much better understood, although uncertainty remains. In this report, we summarize positive impacts of replacing fossil fuels with wind energy, while describing what we have learned and what remains uncertain about negative ecological impacts of the construction and operation of land-based and offshore wind energy on wildlife and wildlife habitat in the U.S. Finally, we propose research on ways to minimize these impacts. TO SUMMARIZE: 1 Environmental and other benefits of wind energy include near-zero greenhouse gas emissions, reductions of other common air pollutants, and little or no water use associated with producing electricity from wind energy. Various scenarios for meeting U.S. carbon emission reduction goals indicate that a four- to five-fold expansion of land-based wind energy from the current 97 gigawatts (GW) by the year 2050 is needed to minimize temperature increases and reduce the risk of climate change to people and wildlife. 2 Collision fatalities of birds and bats are the most visible and measurable impacts of wind energy production. Current estimates suggest most bird species, especially songbirds, are at low risk of population-level impacts. Raptors as a group appear more vulnerable to collisions. Population-level impacts on migratory tree bats are a concern, and better information on population sizes is needed to evaluate potential impacts to these species. Although recorded fatalities of cave-dwelling bat species are typically low at most wind energy facilities, additional mortality from collisions is a concern given major declines in these species due to white-nose syndrome (WNS). Assessments of regional and cumulative fatality impacts for birds and bats have been hampered by the lack of data from areas with a high proportion of the nation’s installed wind energy capacity. Efforts to expand data accessibility from all regions are underway, and this greater access to data along with improvements in statistical estimators should lead to improved impact assessments. 3 Habitat impacts of wind energy development are difficult to assess. An individual wind energy facility may encompass thousands of acres, but only a small percentage of the landscape within the project area is directly transformed. If a project is sited in previously undisturbed habitat, there is concern for indirect impacts, such as displacement of sensitive species. Studies to date indicate displacement of some species, but the long-term population impacts are unknown. 4 Offshore wind energy development in the U.S. is just beginning. Studies at offshore wind facilities in Europe indicate some bird and marine mammal species are displaced from project areas, but substantial uncertainty exists regarding the individual or population-level impacts of this displacement. Bird and bat collisions with offshore turbines are thought to be less common than at terrestrial facilities, but currently the tools to measure fatalities at offshore wind energy facilities are not available. The wind energy industry, state and federal agencies, conservation groups, academia, and scientific organizations have collaborated for nearly 25 years to conduct the research needed to improve our understanding of risk to wildlife and to avoid and minimize that risk. Efforts to reduce the uncertainty about wildlife risk must keep up withthe pace and scale of the need to reduce carbon emissions. This will require focusing our research priorities and increasing the rate at which we incorporate research results into the development and validation of best practices for siting and operating wind energy facilities.
","language":"English","publisher":"Ecological Society of America","usgsCitation":"Allison, T., Diffendorfer, J., Baerwald, E., Julie Beston, David Drake, Hale, A., Cris Hein, Huso, M.M., Loss, S., Lovich, J.E., Strickland, D., Kate Williams, and Virginia Winder, 2019, Impacts to wildlife of wind energy siting and operation in the United States: Issues in Ecology, no. 21, p. 1-24.","productDescription":"24 p.","startPage":"1","endPage":"24","ipdsId":"IP-082737","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":368388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368387,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.esa.org/wp-content/uploads/2019/09/Issues-in-Ecology_Fall-2019.pdf"}],"issue":"21","publishingServiceCenter":{"id":2,"text":"Denver 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Erin","contributorId":219854,"corporation":false,"usgs":false,"family":"Baerwald","given":"Erin","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":773361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Julie Beston","contributorId":174816,"corporation":false,"usgs":false,"family":"Julie Beston","affiliations":[{"id":27515,"text":"UW Stout","active":true,"usgs":false}],"preferred":false,"id":773362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"David Drake","contributorId":219855,"corporation":false,"usgs":false,"family":"David Drake","affiliations":[{"id":29843,"text":"Univ of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":773363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hale, Amanda","contributorId":219856,"corporation":false,"usgs":false,"family":"Hale","given":"Amanda","email":"","affiliations":[{"id":25471,"text":"Texas Christian University","active":true,"usgs":false}],"preferred":false,"id":773364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cris Hein","contributorId":219857,"corporation":false,"usgs":false,"family":"Cris Hein","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":773365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huso, Manuela M. 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":150012,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M.","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":773366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loss, 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Bivalent singing in Vermivora warblers","interactions":[],"lastModifiedDate":"2022-02-08T12:19:31.051947","indexId":"70228152","displayToPublicDate":"2019-09-29T11:27:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Say what? Bivalent singing in Vermivora warblers","title":"Say what? Bivalent singing in Vermivora warblers","docAbstract":"No abstract available.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2881","usgsCitation":"Kramer, G.R., Pagel, R.K., Maley, K., Ziegler, C., Peterson, S.M., Andersen, D.E., Buehler, D., and Streby, H.M., 2019, Say what? Bivalent singing in Vermivora warblers: Ecology, v. 101, no. 2, e02881, 4 p., https://doi.org/10.1002/ecy.2881.","productDescription":"e02881, 4 p.","ipdsId":"IP-109400","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.166015625,\n 47.21956811231547\n ],\n [\n -90.04394531249999,\n 48.07807894349862\n ],\n [\n -94.8779296875,\n 48.922499263758255\n ],\n [\n -97.9541015625,\n 51.781435604431195\n ],\n [\n -100.8544921875,\n 51.67255514839674\n ],\n [\n -101.3818359375,\n 50.035973672195496\n ],\n [\n -99.49218749999999,\n 49.095452162534826\n ],\n [\n -96.767578125,\n 49.095452162534826\n ],\n [\n -96.591796875,\n 47.78363463526376\n ],\n [\n -96.1083984375,\n 45.336701909968134\n ],\n [\n -91.8017578125,\n 44.18220395771566\n ],\n [\n -90.2197265625,\n 42.261049162113856\n ],\n [\n -91.318359375,\n 39.90973623453719\n ],\n [\n -89.47265625,\n 38.06539235133249\n ],\n [\n -88.5498046875,\n 36.84446074079564\n ],\n [\n -88.154296875,\n 36.06686213257888\n ],\n [\n -86.8798828125,\n 36.27970720524017\n ],\n [\n -81.7822265625,\n 37.89219554724437\n ],\n [\n -70.751953125,\n 43.42100882994726\n ],\n [\n -71.3232421875,\n 44.59046718130883\n ],\n [\n -75.498046875,\n 45.27488643704891\n ],\n [\n -80.33203125,\n 44.43377984606822\n ],\n [\n -82.6611328125,\n 45.213003555993964\n ],\n [\n -85.166015625,\n 47.21956811231547\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"101","issue":"2","noUsgsAuthors":false,"publicationDate":"2019-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Gunnar R.","contributorId":274704,"corporation":false,"usgs":false,"family":"Kramer","given":"Gunnar","email":"","middleInitial":"R.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pagel, R. Kyle","contributorId":274705,"corporation":false,"usgs":false,"family":"Pagel","given":"R.","email":"","middleInitial":"Kyle","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maley, Kate","contributorId":274707,"corporation":false,"usgs":false,"family":"Maley","given":"Kate","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ziegler, Cassandra","contributorId":274710,"corporation":false,"usgs":false,"family":"Ziegler","given":"Cassandra","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Sean M.","contributorId":274713,"corporation":false,"usgs":false,"family":"Peterson","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":833254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buehler, David A.","contributorId":274719,"corporation":false,"usgs":false,"family":"Buehler","given":"David A.","affiliations":[{"id":56640,"text":"University of Tennesse","active":true,"usgs":false}],"preferred":false,"id":833255,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Streby, Henry M.","contributorId":274720,"corporation":false,"usgs":false,"family":"Streby","given":"Henry","email":"","middleInitial":"M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":833257,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70208021,"text":"70208021 - 2019 - Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods","interactions":[],"lastModifiedDate":"2020-01-24T06:45:29","indexId":"70208021","displayToPublicDate":"2019-09-29T06:44:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5914,"text":"Journal of Seabird Science and Conservation ","active":true,"publicationSubtype":{"id":10}},"title":"Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods","docAbstract":"Black Oystercatchers Haematopus bachmani, a species of conservation concern, depend on marine intertidal prey resources. We examined diet, feeding rates, growth, and survival of Black Oystercatcher broods in southcentral Alaska, 2013-2014. To determine the importance of diet on brood survival, we modeled daily survival rates of broods as a function of energy intake rate and other ecological factors. We hypothesized that broods fed at higher energy intake rates would grow faster and fly earlier, thereby being less vulnerable to predators and having higher rates of survival. Consistent with our prediction, broods with higher energy intake rates had higher rates of growth and daily survival. The best-supported model indicated that brood survival varied by energy intake rate and brood age. To understand how adults meet the increasing nutritional needs of developing chicks, we examined delivery rates and prey type and size as a function of brood age. Delivery rates differed by age, but composition and size classes of prey items did not, indicating that adults respond to the rising energetic needs of broods by increasing parental effort rather than switching prey. These findings demonstrate the importance of diet and provisioning to broods and given the consequences of reduced energy intake on survival, indicate that shifts in intertidal invertebrates as a result of climate change could have significant impacts on Black Oystercatcher populations.","language":"English","publisher":"Marine Ornithology","usgsCitation":"Robinson, B., Phillips, L., and Powell, A., 2019, Energy intake rate influences survival of Black Oystercatcher Haematopus bachmani broods: Journal of Seabird Science and Conservation , v. 47, p. 277-283.","productDescription":"7 p.","startPage":"277","endPage":"283","ipdsId":"IP-077884","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":371513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":371505,"type":{"id":15,"text":"Index Page"},"url":"https://www.marineornithology.org/content/get.cgi?rn=1329"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.203125,\n 59.62332522313024\n ],\n [\n -143.26171875,\n 59.62332522313024\n ],\n [\n -143.26171875,\n 65.83877570688918\n ],\n [\n -158.203125,\n 65.83877570688918\n ],\n [\n -158.203125,\n 59.62332522313024\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, B.H. 0000-0001-8588-7162","orcid":"https://orcid.org/0000-0001-8588-7162","contributorId":221774,"corporation":false,"usgs":false,"family":"Robinson","given":"B.H.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":780171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, L.M.","contributorId":221775,"corporation":false,"usgs":false,"family":"Phillips","given":"L.M.","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":780172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, Abby 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":176843,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":780170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70211362,"text":"70211362 - 2019 - Rural-urban differences in hunting and birdwatching attitudes and participation","interactions":[],"lastModifiedDate":"2020-07-29T13:44:37.252044","indexId":"70211362","displayToPublicDate":"2019-09-28T11:30:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Rural-urban differences in hunting and birdwatching attitudes and participation","docAbstract":"Outdoor recreation facilitates important connections to nature and wildlife but is perceived differently across population segments. As such, we expected that current and past socio-demographic characteristics of individuals would influence intention to participate in outdoor recreation. We solicited 5,000 U.S. residents. (n = 1,030, 23% response) to describe their perceptions of hunting and birdwatching. The influence of current and childhood community size (i.e., urban-rural residence gradient) was examined as a potentially important predictor of intention to participate in hunting and birdwatching within the context of theory of planned behavior. Hunting attitudes and personal behavior control were more positive when respondents maintained a residence in rural areas. Alternatively, birdwatching attitudes, norms, and perceived behavioral control did not differ with community size. Therefore, programs aimed at increasing participation in outdoor recreation should carefully consider the importance of socio-demographic variables in the context of their objectives, especially for recruiting urban hunters.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10871209.2019.1661046","usgsCitation":"Wilkins, E., Cole, N., Miller, H., Schuster, R., Dayer, A.A., Duberstein, J.N., Fulton, D.C., Harshaw, H.W., and Raedeke, A.H., 2019, Rural-urban differences in hunting and birdwatching attitudes and participation: Human Dimensions of Wildlife, v. 24, no. 6, p. 530-547, https://doi.org/10.1080/10871209.2019.1661046.","productDescription":"17 p.","startPage":"530","endPage":"547","ipdsId":"IP-091008","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":459708,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/99044","text":"External Repository"},{"id":376781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":197137,"corporation":false,"usgs":false,"family":"Wilkins","given":"Emily J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":794113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Nicholas W.","contributorId":172275,"corporation":false,"usgs":false,"family":"Cole","given":"Nicholas W.","affiliations":[],"preferred":false,"id":794046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Holly M. 0000-0003-0914-7570 millerh@usgs.gov","orcid":"https://orcid.org/0000-0003-0914-7570","contributorId":4577,"corporation":false,"usgs":true,"family":"Miller","given":"Holly M.","email":"millerh@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":794045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":794044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dayer, Ashley A.","contributorId":171460,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":794114,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duberstein, Jennifer N.","contributorId":232553,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jennifer","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":794117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":794115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harshaw, Howard W.","contributorId":232554,"corporation":false,"usgs":false,"family":"Harshaw","given":"Howard","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":794118,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raedeke, Andrew H.","contributorId":94083,"corporation":false,"usgs":true,"family":"Raedeke","given":"Andrew","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":794116,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70208192,"text":"70208192 - 2019 - World’s largest dam removal reverses coastal erosion","interactions":[],"lastModifiedDate":"2020-01-29T19:45:00","indexId":"70208192","displayToPublicDate":"2019-09-27T19:41:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"World’s largest dam removal reverses coastal erosion","docAbstract":"Coastal erosion outpaces land generation along many of the world’s deltas and a significant percentage of shorelines, and human-caused alterations to coastal sediment budgets can be important drivers of this erosion. For sediment-starved and erosion-prone coasts, large-scale enhancement of sediment supply may be an important, but poorly understood, management option. Here we provide new topographic measurements that show the patterns and trends of beach accretion following the restoration of sediment supply from a massive dam removal project. River sediment was initially deposited in intertidal-to-subtidal deltaic lobes, and this sediment was reworked by ocean waves into subaerial river mouth bars over time scales of several months. These river mouth bars welded to the shoreline and then initiated waves of sediment accretion along adjacent upcoast and downcoast beaches. Although the downcoast shoreline has a high wave-angle setting, the sedimentation waves straightened the downcoast shoreline rather than forming self-organized quasi-periodic instabilities, which suggests that simple coastal evolution theory did not hold under these conditions. Combined with other mega-nourishment projects, these findings provide new understanding of littoral responses to the restoration of sediment supplies.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-50387-7","usgsCitation":"Warrick, J.A., Stevens, A.W., Miller, I.M., Harrison, S.R., Ritchie, A.C., and Gelfenbaum, G.R., 2019, World’s largest dam removal reverses coastal erosion: Scientific Reports, v. 9, 13968, 12 p., https://doi.org/10.1038/s41598-019-50387-7.","productDescription":"13968, 12 p.","ipdsId":"IP-111485","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459711,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-50387-7","text":"Publisher Index Page"},{"id":371748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Elwha River mouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.60820770263672,\n 48.07807894349862\n ],\n [\n -123.52615356445312,\n 48.07807894349862\n ],\n [\n -123.52615356445312,\n 48.17707562779612\n ],\n [\n -123.60820770263672,\n 48.17707562779612\n ],\n [\n -123.60820770263672,\n 48.07807894349862\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":780892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Shawn R 0000-0002-8711-4427","orcid":"https://orcid.org/0000-0002-8711-4427","contributorId":221995,"corporation":false,"usgs":false,"family":"Harrison","given":"Shawn","email":"","middleInitial":"R","affiliations":[{"id":16692,"text":"Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":780893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":780894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":780895,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70205375,"text":"ofr20191106 - 2019 - Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18","interactions":[],"lastModifiedDate":"2019-09-30T10:05:38","indexId":"ofr20191106","displayToPublicDate":"2019-09-27T17:45:38","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1106","displayTitle":"Characterization and Load Estimation of Polychlorinated Biphenyls (PCBs) From Selected Rio Grande Tributary Stormwater Channels in the Albuquerque Urbanized Area, New Mexico, 2017–18","title":"Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18","docAbstract":"In cooperation with the New Mexico County of Bernalillo, the U.S. Geological Survey characterized potential polychlorinated biphenyl (PCB) concentration and estimated loading into the Rio Grande from watersheds that are under the county’s jurisdiction. Water and sediment samples were collected in 2017–18 from six sites within four stormwater drainage basins in the Albuquerque, New Mexico, urbanized area for the analysis of PCB congeners and other water-quality constituents during dry and wet seasons. Also, the rainfall-runoff model Arid Lands Hydrologic Model (AHYMO) was used to estimate stormwater discharge at the two sample collection sites not affected by pump station operation. Along with the PCB analysis, the discharge data were used to estimate total PCB stormflow event loads for eight events in these urban Rio Grande tributaries. PCBs were detected in 34 of 36 water samples at concentrations as high as 65.8 nanograms per liter and in 12 of 13 sediment samples at concentrations as high as 163,000 nanograms per kilogram dry weight. Six of the 36 water samples exceeded the New Mexico surface-water quality standard for protection of wildlife habitat and aquatic life of 14 nanograms per liter for PCBs. None of the water samples exceeded the U.S. Environmental Protection Agency’s National Pollutant Discharge Elimination System permit level limit of 200 nanograms per liter for PCBs in stormwater systems discharging into the Rio Grande. PCB concentrations in water samples in this study were not linearly related to antecedent precipitation or measured water-quality parameters, but PCB concentrations had a statistically significant positive Kendall’s tau correlation with total suspended solids for water samples and with total organic carbon for sediment samples. The PCB congener profiles indicate that sources to stormwater drainage basins in Bernalillo County originate both from legacy sources, such as Aroclors (for example, in landfills and old building materials), and from current-use sources, such as yellow pigments (for example, in printed materials and packaging in urban litter or refuse). Total PCB stormflow event loads were calculated with average potential minimum and maximum event loads of 0.73 and 4.32 milligrams per storm event, respectively, at the Adobe Acres pump station site and 56.78 and 315.13 milligrams per storm event at the Sanchez Farms inflow at Albuquerque, N. Mex., site.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191106","collaboration":"Prepared in cooperation with Bernalillo County","usgsCitation":"Shephard, Z.M., Conn, K.E., Beisner, K.R., Jornigan, A.D., and Bryant, C.F., 2019, Characterization and load estimation of polychlorinated biphenyls (PCBs) from selected Rio Grande tributary stormwater channels in the Albuquerque urbanized area, New Mexico, 2017–18: U.S. Geological Survey Open-File Report 2019–1106, 48 p., https://doi.org/10.3133/of20191106.","productDescription":"x, 48 p.","numberOfPages":"61","onlineOnly":"Y","ipdsId":"IP-109136","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":367784,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1106/coverthb.jpg"},{"id":367785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1106/ofr20191106.pdf","size":"4.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1106"}],"country":"United States","state":"New Mexico","city":"Albuquerque","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.8255615234375,\n 34.9371707067839\n ],\n [\n -106.48223876953125,\n 34.9371707067839\n ],\n [\n -106.48223876953125,\n 35.20579439829525\n ],\n [\n -106.8255615234375,\n 35.20579439829525\n ],\n [\n -106.8255615234375,\n 34.9371707067839\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
6700 Edith Blvd.
Albuquerque, NM 87113
A generalized potentiometric-surface map of the Madison aquifer near Jewel Cave National Monument was constructed using water levels measured from calendar years 1988 to 2019 in 24 groundwater wells and 4 subterranean cave lakes interpreted to be in hydraulic connection with the aquifer. The map indicated that groundwater near Jewel Cave National Monument originates from recharge sources to the Madison aquifer in the higher elevations in the north-central area of the map, flows west to south-southwest through the Jewel Cave network, then southeast.
Hydrographs were constructed using water levels from four observation wells and one subterranean lake (Hourglass Lake) in the Jewel Cave network to evaluate historical and current groundwater recharge to the Madison aquifer in the study area. Hydrographs from 1992 through 2018 indicated water levels were lowest from the early to mid-1990s, increased through the late 1990s, peaked in the early 2000s, decreased until 2010, and then increased to the highest levels during 2016–18. A visual comparison of the Hourglass Lake hydrograph with cumulative precipitation, and quantitative (statistical) comparison of lake-water levels with cumulative precipitation, indicated that lake-water levels increased as cumulative precipitation increased, most likely due to some degree of precipitation recharge to hydraulically connected Madison Limestone outcrops.
Comparing the potentiometric-surface map constructed for this study, with a map by Strobel and others (2000) of the same region and aquifer, indicated similarity and, therefore, provided some validation of map construction. The potentiometric-surface map constructed for this study could be used by park managers and others as a tool to evaluate the hydrogeologic characteristics of the Madison aquifer in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195098","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Anderson, T.M., Eldridge, W.G., Valder, J.F., and Wiles, M., 2019, Generalized potentiometric-surface map and groundwater flow directions in the Madison aquifer near Jewel Cave National Monument, South Dakota: U.S. Geological Survey Scientific Investigations Report 2019–5098, 16 p., https://doi.org/10.3133/sir20195098.","productDescription":"vi, 16 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-109769","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":367748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5098/sir20195098.pdf","text":"Report","size":"5.33 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019-5098"},{"id":367747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5098/coverthb.jpg"},{"id":369716,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20193072","text":"FS 2019–3072","size":"3.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3072","linkHelpText":"– Groundwater Characterization of the Madison Aquifer near Jewel Cave National Monument, South Dakota"}],"country":"United States","state":"South Dakota","otherGeospatial":"Jewel Cave, Madison Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.05426025390625,\n 43.60823944964323\n ],\n [\n -103.4417724609375,\n 43.60823944964323\n ],\n [\n -103.4417724609375,\n 44.11716972942086\n ],\n [\n -104.05426025390625,\n 44.11716972942086\n ],\n [\n -104.05426025390625,\n 43.60823944964323\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
1608 Mountain View Road
Rapid City, SD 57702
Eastern Energy Resources Science Center
12201 Sunrise Valley Drive
956 National Center
Reston, VA 20192
The introduction of snakeheads from their origins in Asia is relatively recent to the conterminous United States with the first of many collections beginning in the late 1990s. For decades they have been commercially fished and aquacultured around the world for human food and, to a lesser degree, for the aquarium trade. Over a dozen snakehead species known to be of economic importance outside the US, five have been introduced into the United States. Three of the four species collected in open waters have successfully established reproducing populations. The most widespread is a temperate species, Northern Snakehead Channa argus, primarily found in the Mid-Atlantic region of the United States. The other two snakehead species that established populations are the Bullseye Snakehead Channa marulius in the state of Florida and Blotched Snakehead Channa maculata in the state of Hawai’i. A fifth species, Chevron Snakehead Channa striata, is also present in Hawai’i, but only in aquaculture, not in open waters. Introductions of snakehead fishes into the United States were most likely the result of the popularity of this group of fishes in Asia.
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The geographical focus for the summit was the entire Great Plains. The summit was designed to provide syntheses of information about key grassland topics of interest in the Great Plains; networking and learning channels for managers, researchers and stakeholders; and working sessions for sharing input and ideas about challenges and future research and management opportunities. The summit was convened to better understand Great Plains stressors and resource demands and how to manage them, and to discuss methods for improved collaboration among natural resource managers, scientists, and stakeholders. Over 200 stakeholders, who collectively were affiliated with all of the Great Plains states, attended the summit. Attendees included university researchers, government scientists, and individuals affiliated with federal and state agencies, tribes, the private sector, and non-governmental organizations (NGOs). Plenary speakers provided syntheses of current knowledge on key topics to help stage working sessions on working lands, native plants and pollinators, native wildlife and biological diversity, invasive species, wildland and prescribed fire, energy development, and weather, water, and climate. The summit steering committee designed one suite of questions that were asked of participants in each working session. 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Responses indicate an enthusiastic endorsement of SEM. Two major elements of respondent’s experiences seem to contribute to their positive response, (1) a sense that they are obtaining more accurate explanatory understanding through the use of SEM and (2) excitement generated by the discovery of novel insights into their systems. We elaborate here on the detection of indirect effects, offsetting effects, and suppressed effects, and demonstrate how discovering these effects can advance ecology.","language":"English","publisher":"Queens University","doi":"10.24908/iee.2019.12.5.c","usgsCitation":"Laughlin, D.C., and Grace, J., 2019, Discoveries and novel insights in ecology using structural equation modeling: Ecology and Evolution, v. 12, p. 28-34, https://doi.org/10.24908/iee.2019.12.5.c.","productDescription":"7 p.","startPage":"28","endPage":"34","ipdsId":"IP-109791","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467322,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24908/iee.2019.12.5.c","text":"Publisher Index Page"},{"id":368302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368159,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.24908/iee.2019.12.5.c"}],"volume":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Laughlin, Daniel C.","contributorId":200543,"corporation":false,"usgs":false,"family":"Laughlin","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":772794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, James 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":219648,"corporation":false,"usgs":true,"family":"Grace","given":"James","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70212304,"text":"70212304 - 2019 - Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics","interactions":[],"lastModifiedDate":"2020-08-14T15:13:19.070243","indexId":"70212304","displayToPublicDate":"2019-09-27T10:11:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics","docAbstract":"The dwarf planet Ceres’s outer crust is a complex, heterogeneous mixture of ice, clathrates, salts and silicates. Numerous large domes on Ceres’s surface indicate a degree of geological activity. These domes have been attributed to cryovolcanism, but that is difficult to reconcile with Ceres’s small size and lack of long-lived heat sources. Here we alternatively propose that Ceres’s domes form by solid-state flow within the compositionally heterogeneous crust, a mechanism directly analogous to salt tectonics on Earth. We use numerical simulations to illustrate that differential loading of a crust with compositional heterogeneity on a scale of tens of kilometres can produce dome-like features of scale similar to those observed. The mechanism requires the presence of low-viscosity and low-density, possibly ice-rich, material in the upper 1–10 km of the subsurface. Such substantial regional heterogeneity in Ceres’s crustal composition is consistent with observations from the National Aeronautics and Space Administration’s Dawn mission. We conclude that deformation analogous to that in terrestrial salt tectonics is a viable alternative explanation for the observed surface morphologies, and is consistent with Ceres being both cold and geologically active.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41561-019-0453-0","usgsCitation":"Bland, M.T., Buczkowski, D.L., Sizemore, H.G., Ermakov, A.I., King, S.D., Sori, M.M., Raymond, C., Castillo-Rogez, J.C., and Russell, C., 2019, Dome formation on Ceres by sold-state flow analogous to terrestrial salt tectonics: Nature Geoscience, v. 12, p. 797-801, https://doi.org/10.1038/s41561-019-0453-0.","productDescription":"5 p.","startPage":"797","endPage":"801","ipdsId":"IP-105255","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467324,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/98836","text":"External Repository"},{"id":377527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ceres","volume":"12","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":796247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buczkowski, D. L","contributorId":238460,"corporation":false,"usgs":false,"family":"Buczkowski","given":"D.","email":"","middleInitial":"L","affiliations":[{"id":47710,"text":"Johns Hopkins Applied Physics Lab","active":true,"usgs":false}],"preferred":false,"id":796248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sizemore, H. G.","contributorId":238462,"corporation":false,"usgs":false,"family":"Sizemore","given":"H.","email":"","middleInitial":"G.","affiliations":[{"id":27220,"text":"Planetary Science Inst.","active":true,"usgs":false}],"preferred":false,"id":796249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ermakov, A. I.","contributorId":238464,"corporation":false,"usgs":false,"family":"Ermakov","given":"A.","email":"","middleInitial":"I.","affiliations":[{"id":47712,"text":"Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":796250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, S. D","contributorId":238466,"corporation":false,"usgs":false,"family":"King","given":"S.","email":"","middleInitial":"D","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":796251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sori, M. M.","contributorId":238467,"corporation":false,"usgs":false,"family":"Sori","given":"M.","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":796252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raymond, C. A.","contributorId":238468,"corporation":false,"usgs":false,"family":"Raymond","given":"C. A.","affiliations":[{"id":47712,"text":"Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":796253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Castillo-Rogez, J. C.","contributorId":177375,"corporation":false,"usgs":false,"family":"Castillo-Rogez","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":796254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Russell, C. T.","contributorId":238469,"corporation":false,"usgs":false,"family":"Russell","given":"C. T.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":796255,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70227145,"text":"70227145 - 2019 - Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","interactions":[],"lastModifiedDate":"2022-01-03T16:27:23.029256","indexId":"70227145","displayToPublicDate":"2019-09-27T09:10:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","title":"Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations","docAbstract":"Golden alga Prymnesium parvum Carter is a euryhaline, ichthyotoxic haptophyte (Chromista). Because of its presumed coastal/marine origin where SO42- levels are high, the relatively high SO42- concentration of its brackish inland habitats, and the sensitivity of marine chromists to sulfur deficiency, this study examined whether golden alga growth is sensitive to SO42- concentration. Fluoride is a ubiquitous ion that has been reported at higher levels in golden alga habitat; thus, the influence of F- on growth also was examined. In low-salinity (5 psu) artificial seawater medium, overall growth was SO42—dependent up to 1000 mg l-1 using MgSO4 or Na2SO4 as source; the influence on growth rate, however, was more evident with MgSO4. Transfer from 5 to 30 psu inhibited growth when salinity was raised with NaCl but in the presence of seawater levels of SO42-, these effects were fully reversed with MgSO4 as source and only partially reversed with Na2SO4. Growth inhibition was not observed after acute transfer to 30 psu in a commercial sea salt mixture. In 5-psu medium, F- inhibited growth at all concentrations tested. These observations support the hypothesis that spatial differences in SO42- –but not F-–concentration help drive the inland distribution and growth of golden alga and also provide physiological relevance to reports of relatively high Mg2+ concentrations in golden alga habitat. At high salinity, however, the ability of sulfate to maintain growth under osmotic stress was weak and overshadowed by the importance of Mg2+. A mechanistic understanding of growth responses of golden alga to SO42-, Mg2+ and other ions at environmentally relevant levels and under different salinity scenarios will be necessary to clarify their ecophysiological and evolutionary relevance.
","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0223266","usgsCitation":"Rashel, R.B., and Patino, R., 2019, Growth response of the ichthyotoxic haptophyte, Prymnesium parvum Carter, to changes in sulfate and fluoride concentrations: PLoS ONE, v. 14, no. 9, p. 1-19, https://doi.org/10.1371/journal.pone.0223266.","productDescription":"e0223266, 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-107294","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0223266","text":"Publisher Index Page"},{"id":393741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Rashel, Rakib B.","contributorId":270695,"corporation":false,"usgs":false,"family":"Rashel","given":"Rakib","email":"","middleInitial":"B.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":829780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":829779,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70215281,"text":"70215281 - 2019 - Survival and movements of head‐started Mojave desert tortoises","interactions":[],"lastModifiedDate":"2020-10-14T23:12:57.741594","indexId":"70215281","displayToPublicDate":"2019-09-26T18:08:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival and movements of head‐started Mojave desert tortoises","docAbstract":"Head‐starting is a conservation strategy in which young animals are protected in captivity temporarily before their release into the wild at a larger size, when their survival is presumably increased. The Mojave desert tortoise (Gopherus agassizii) is in decline, and head‐starting has been identified as one of several conservation measures to assist in recovery. To evaluate the efficacy of indoor head‐starting, we released and radio‐tracked 68 juvenile tortoises from a 2015 cohort in the Mojave National Preserve, California, USA. We released 20 tortoises at hatching (control) in September 2015, and reared 28 indoors and 20 outdoors in predator‐proof enclosures for 7 months before releasing them in April 2016. We monitored tortoises at least weekly after release until 27 October 2016, and documented survivorship, movement, and surface activity. We estimated survivorship by treatment and evaluated effects of treatment, proximity to a raven (Corvus corax) nest (predator) coincidentally established after release, distance moved between monitoring events, surface activity, and release size on individual fate in a generalized linear model. Although indoor head‐start tortoises reached the size of 5–6‐year‐old wild tortoises by release at 7 months of age, survival did not differ significantly among the 3 treatment groups. Combined annual survival was 0.44 (95% CI = 0.34–0.58). Tortoises that were closer to an active raven nest were significantly more likely to die, as were those seen more often outside their burrows and active aboveground. Predicted estimates for short‐term probability of survival approached 1.0 as distance from a raven nest exceeded approximately 1.6 km. Rearing treatment, movement distance, and body size were not significant predictors of fate over the 1‐year monitoring period. Head‐started tortoises released ≥1.6 km from areas of raven activity will likely have higher short‐term survival. Population recovery through head‐starting alone is unlikely to be successful if systemic ecosystem‐level issues, such as habitat degradation and conditions that promote human‐subsidized predators, are not ameliorated. © 2019 The Wildlife Society.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21758","usgsCitation":"Daly, J., Buhlmann, K., Todd, B., Moore, C.T., Peaden, J., and Tuberville, T., 2019, Survival and movements of head‐started Mojave desert tortoises: Journal of Wildlife Management, v. 83, no. 8, p. 1700-1710, https://doi.org/10.1002/jwmg.21758.","productDescription":"11 p.","startPage":"1700","endPage":"1710","ipdsId":"IP-104712","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":379396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.51599121093749,\n 34.77771580360469\n ],\n [\n -114.686279296875,\n 34.93548199355901\n ],\n [\n -114.664306640625,\n 35.02999636902566\n ],\n [\n -115.23559570312499,\n 35.483038134069574\n ],\n [\n -116.3232421875,\n 35.38904996691167\n ],\n [\n -116.4935302734375,\n 34.94899072578227\n ],\n [\n -116.3067626953125,\n 34.70097741472011\n ],\n [\n -115.2740478515625,\n 34.54728700119802\n ],\n [\n -114.75219726562499,\n 34.40237742424137\n ],\n [\n -114.6368408203125,\n 34.51560953848204\n ],\n [\n -114.43359375,\n 34.465806327688526\n ],\n [\n -114.51599121093749,\n 34.77771580360469\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Daly, J. A.","contributorId":243070,"corporation":false,"usgs":false,"family":"Daly","given":"J. A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801474,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhlmann, K. A.","contributorId":239456,"corporation":false,"usgs":false,"family":"Buhlmann","given":"K. A.","affiliations":[{"id":47860,"text":"University of Georgia Savannah River Ecology Laboratory, Aiken, SC, USA","active":true,"usgs":false}],"preferred":false,"id":801475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, B. D.","contributorId":243071,"corporation":false,"usgs":false,"family":"Todd","given":"B. D.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Clinton T. 0000-0002-6053-2880 cmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-6053-2880","contributorId":3643,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton","email":"cmoore@usgs.gov","middleInitial":"T.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801477,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peaden, J. M.","contributorId":243072,"corporation":false,"usgs":false,"family":"Peaden","given":"J. M.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":801478,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tuberville, T. D.","contributorId":243073,"corporation":false,"usgs":false,"family":"Tuberville","given":"T. D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":801479,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204046,"text":"sir20195045 - 2019 - The hydrologic system of the south Florida peninsula—Development and application of the Biscayne and Southern Everglades Coastal Transport (BISECT) model","interactions":[],"lastModifiedDate":"2019-10-03T10:19:21","indexId":"sir20195045","displayToPublicDate":"2019-09-26T15:40:18","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5045","displayTitle":"The Hydrologic System of the South Florida Peninsula: Development and Application of the Biscayne and Southern Everglades Coastal Transport (BISECT) Model","title":"The hydrologic system of the south Florida peninsula—Development and application of the Biscayne and Southern Everglades Coastal Transport (BISECT) model","docAbstract":"The Biscayne and Southern Everglades Coastal Transport (BISECT) model was developed by the U.S. Geological Survey under the Greater Everglades Priority Ecosystem Studies Initiative to evaluate, both separately and in conjunction, the likely effects on surface-water stages and flows, hydroperiod, and groundwater levels and salinity in south Florida of (1) a vertical Biscayne aquifer barrier to maintain higher wetland levels, (2) possible future changes to current water-management practices, and (3) sea-level rise. The BISECT model is a combination of the Tides and Inflows to the Mangrove Everglades (TIME) and Biscayne models of the western and eastern parts of south Florida including Everglades National Park, the southern Miami-Dade urban area, and the Biscayne Bay coast and simulates hydrodynamic surface-water flow and three-dimensional groundwater conditions dynamically for the period 1996–2004 by using the Flow and Transport in a Linked Overland/Aquifer Density-Dependent System (FTLOADDS) simulator. BISECT includes a number of parameter and algorithmic refinements that improve simulation results relative to the TIME and Biscayne models and represents the hydrologic system more explicitly, including (1) improved topographic representations, (2) refined Manning’s friction coefficients, (3) improved evapotranspiration computation through spatially variable albedo, (4) increased vertical aquifer discretization, and (5) extension of the western boundary farther offshore.
Sensitivity analyses demonstrate that simulated flows into Long Sound have a different pattern of response to tidal amplitude, wind, and frictional resistance changes than do other coastal streams in the model; flows at Broad River and Lostmans River are most sensitive to tidal amplitude, wind, and frictional resistance changes; and flow to the Everglades coastal streams is substantially affected by surface-water/groundwater interactions in the eastern urban areas. Insight into the hydrologic system came from scenario simulations that represent proposed management actions, such as grouting of the aquifer to prevent seepage from the wetlands and changes to water deliveries proposed by the Comprehensive Everglades Restoration Plan (CERP), and projected sea-level rise. These scenario management changes are considered separately to isolate their specific effects and also in conjunction with sea-level rise. Scenario simulations show that (1) attempts to prevent seepage from the wetlands by grouting the aquifer along the L 31N levee produce minimal effects on surface-water levels; (2) the increased water deliveries proposed in the CERP redistribute flow to the northwestern coastal part of the study area with a minimal reduction to the southeast and a more substantial reduction in flows in the intervening coastal zones, mitigating some sea-level rise effects; (3) sea-level rise has a larger effect on the hydrology (water levels, flow, and salinity) than does CERP restoration; and (4) support for ecological models and hydrologic studies can be provided by applying BISECT to scenarios influenced by climatic and anthropogenic changes or by meteorological variability, such as extreme wet or dry periods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195045","collaboration":"USGS Greater Everglades Priority Ecosystem Studies Initiative","usgsCitation":"Swain, E.D., Lohmann, M.A., and Goodwin, C.R., 2019, The hydrologic system of the south Florida peninsula—Development and application of the Biscayne and Southern Everglades Coastal Transport (BISECT) model: U.S. Geological Survey Scientific Investigations Report 2019–5045, 114 p., https://doi.org/10.3133/sir20195045.","productDescription":"Report: viii, 114 p.; Data Release","numberOfPages":"126","onlineOnly":"Y","ipdsId":"IP-062750","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":367710,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/P9MDUQPK","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"FTLOADDS (combined SWIFT2D surface-water model and SEAWAT groundwater model) simulator used to assess proposed sea-level rise response and water-resource management plans for the hydrologic system of the south Florida peninsula for the Biscayne and Southern Everglades Coastal Transport (BISECT) model"},{"id":367709,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5045/sir20195045.pdf","text":"Report","size":"24.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5045"},{"id":367708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5045/coverthb2.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.49795532226562,\n 25.11544539706194\n ],\n [\n -80.15213012695312,\n 25.11544539706194\n ],\n [\n -80.15213012695312,\n 25.856751966503136\n ],\n [\n -81.49795532226562,\n 25.856751966503136\n ],\n [\n -81.49795532226562,\n 25.11544539706194\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Although most wildlife professionals agree that science should inform wildlife management decisions, disconnect still exists between researchers and managers. If researchers are not striving to incorporate their findings into management decisions, support for research programs by managers can wane. If managers are not using research findings to inform management decisions, those decisions may be less effective or more vulnerable to legal challenges. Both of these situations can have negative consequences for wildlife conservation. We outline a collaborative research‐management approach to bridging the gap between wildlife managers and researchers. We describe differences in perspectives, perceptions, and priorities between managers and researchers; outline how and why the divide between researchers and managers has likely occurred and continues to grow; and present specific strategies and recommendations to foster stronger collaborations between managers and researchers. We advocate increased synergy between managers and researchers based on a shared vision of conservation and a collaborative structure that rewards researchers and managers. Most importantly, we suggest that relationships and communication between managers and researchers must be established early in research development and decision‐making processes, fostering the trust needed for collaboration. Institutions and agencies can facilitate these relationships by creating opportunities and incentives for integrating collaborative research into management decisions. We suggest this approach will strengthen ties between researchers and managers, increase relevance of research to management decisions, promote effectiveness of management decisions, reduce legal challenges, and ultimately produce positive, tangible, and lasting effects on wildlife conservation.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21759","usgsCitation":"Merkle, J., Anderson, N.J., Baxley, D., Chopp, M., Gigliotti, L., Gude, J., Harms, T.M., Johnson, H.E., Merrill, E.H., Mitchell, M.S., Mong, T.W., Nelson, J., Norton, A.S., Sheriff, M.J., Tomasik, E., and VanBeek, K.R., 2019, A collaborative approach to bridging the gap between wildlife managers and researchers: Journal of Wildlife Management, v. 83, no. 8, p. 1644-1651, https://doi.org/10.1002/jwmg.21759.","productDescription":"8 p.","startPage":"1644","endPage":"1651","ipdsId":"IP-096490","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379384,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Merkle, Jerod","contributorId":172972,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod","affiliations":[{"id":35288,"text":"Wyoming Cooperative Fish and Wildlife Research Unit, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":801457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Neil J.","contributorId":243060,"corporation":false,"usgs":false,"family":"Anderson","given":"Neil","email":"","middleInitial":"J.","affiliations":[{"id":48627,"text":"mtfwp","active":true,"usgs":false}],"preferred":false,"id":801458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxley, Danna L.","contributorId":243061,"corporation":false,"usgs":false,"family":"Baxley","given":"Danna L.","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":801459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chopp, 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Only about 500 ha (< 0.01%) of pre-settlement bottomland hardwood forest habitat in the Mississippi Alluvial Valley (MAV) in the UME remained by the 1940s because the timber was clearcut and the wetlands drained for agriculture. By 1983 only a few scattered cypress-tupelo swamps remained. We studied the freshwater turtle community in Allred Lake, Missouri, a rare remnant of this ecosystem and compared these results to those from two other study sites in the MAV, Big Oak Tree State Park (BOTSP), Missouri, and Coldwater River National Wildlife Refuge (CRNWR), Mississippi. Species richness included six species commonly found throughout the MAV. One species (Red-eared Slider, Trachemys scripta elegans) dominated density and biomass in all three assemblages. The occurrence of the six species we studied in man-made restored wetlands such as those in BOTSP and CRNWR indicate these turtles would adapt to restored wetlands in the MAV in southeastern Missouri and elsewhere in the ecosystem. We provide information on habitat features that could be included in restoration design and construction that would benefit turtles. Given the ongoing worldwide decline of turtles, consideration of turtle ecology and behavior in wetland restoration projects in the MAV may be warranted.","language":"English","publisher":"Springer","doi":"10.1007/s11273-019-09686-z","usgsCitation":"Nickerson, M.A., Mitchell, J.C., and Glorioso, B., 2019, The importance of turtle populations to wetland restoration in the upper Mississippi embayment of the Mississippi Alluvial Valley: Wetlands Ecology and Management, v. 27, no. 5-6, p. 683-692, https://doi.org/10.1007/s11273-019-09686-z.","productDescription":"10 p.","startPage":"683","endPage":"692","ipdsId":"IP-104693","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":367928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, Tennessee","otherGeospatial":"Allred Lake, Big Oak Tree State Park, Coldwater River National Wildlife Refuge ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.571044921875,\n 31.015278981711266\n ],\n [\n -90.439453125,\n 32.10118973232094\n ],\n [\n -90,\n 34.96699890670367\n ],\n [\n -89.000244140625,\n 36.677230602346214\n ],\n [\n -88.92333984375,\n 36.98500309285596\n ],\n [\n -89.351806640625,\n 37.17782559332976\n ],\n [\n -91.60400390625,\n 35.7286770448517\n ],\n [\n -91.42822265625,\n 35.505400093441324\n ],\n [\n -92.4169921875,\n 34.867904962568716\n ],\n [\n -92.3291015625,\n 34.50655662164561\n ],\n [\n -92.1533203125,\n 34.15272698011818\n ],\n [\n -91.658935546875,\n 33.669496972795535\n ],\n [\n -91.702880859375,\n 33.054716488042736\n ],\n [\n -91.900634765625,\n 32.96258644191747\n ],\n [\n -92.04345703125,\n 33.04550781490999\n ],\n [\n -92.274169921875,\n 32.97180377635759\n ],\n [\n -92.1533203125,\n 32.69486597787505\n ],\n [\n -92.252197265625,\n 32.32427558887655\n ],\n [\n -92.16430664062499,\n 32.05464469054932\n ],\n [\n -91.92260742187499,\n 31.83089906339438\n ],\n [\n -92.35107421874999,\n 31.456782472114313\n ],\n [\n -92.691650390625,\n 31.606609719226917\n ],\n [\n -92.83447265624999,\n 31.438037173124464\n ],\n [\n -91.12060546875,\n 29.036960648558267\n ],\n [\n -90.47241210937499,\n 29.248063243796576\n ],\n [\n -90.318603515625,\n 29.0273547804184\n ],\n [\n -89.7967529296875,\n 29.267232865200878\n ],\n [\n -89.3463134765625,\n 28.835049972635176\n ],\n [\n -88.9068603515625,\n 29.094577077511826\n ],\n [\n -88.9453125,\n 29.334298230315675\n ],\n [\n -89.4891357421875,\n 29.54000879252545\n ],\n [\n -89.12109375,\n 29.90732937685153\n ],\n [\n -89.5111083984375,\n 30.107117887092357\n ],\n [\n -90.450439453125,\n 29.90256760730233\n ],\n [\n -91.571044921875,\n 31.015278981711266\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"5-6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Nickerson, Max A","contributorId":219361,"corporation":false,"usgs":false,"family":"Nickerson","given":"Max","email":"","middleInitial":"A","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":772129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Joseph C.","contributorId":205168,"corporation":false,"usgs":false,"family":"Mitchell","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":772130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glorioso, Brad M. 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":772128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205601,"text":"70205601 - 2019 - Climate-driven shifts in soil temperature and moisture regimes suggest opportunities to enhance assessments of dryland resilience and resistance","interactions":[],"lastModifiedDate":"2019-09-30T10:01:23","indexId":"70205601","displayToPublicDate":"2019-09-26T10:50:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Climate-driven shifts in soil temperature and moisture regimes suggest opportunities to enhance assessments of dryland resilience and resistance","docAbstract":"Assessing landscape patterns in climate vulnerability, as well as resilience and resistance to drought, disturbance, and invasive species, requires appropriate metrics of relevant environmental conditions. In dryland systems of western North America, soil temperature and moisture regimes have been widely utilized as an indicator of resilience to disturbance and resistance to invasive plant species by providing integrative indicators of long-term site aridity, which relates to ecosystem recovery potential and climatic suitability to invaders. However, the impact of climate change on these regimes, and the suitability of the indicator for estimating resistance and resilience in the context of climate change have not been assessed. Here we utilized a daily time-step, process-based, ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, and evaluate the impact of these changes on estimation of resilience and resistance. Soil temperature increases in the twenty-first century are substantial, relatively uniform geographically, and robust across climate models. Higher temperatures will expand the areas of mesic and thermic soil temperature regimes while decreasing the area of cryic and frigid temperature conditions. Projections for future precipitation are more variable both geographically and among climate models. Nevertheless, future soil moisture conditions are relatively consistent across climate models for much of the region. Projections of drier soils are expected in most of Arizona and New Mexico, as well as the central and southern U.S. Great Plains. By contrast, areas with projections of increasing soil moisture include northeastern Montana, southern Alberta and Saskatchewan, and many areas dominated by big sagebrush, particularly the Central and Northern Basin and Range and the Wyoming Basin ecoregions. In addition, many areas dominated by big sagebrush are expected to experience pronounced shifts toward cool season moisture, which will create more area with xeric moisture conditions and less area with ustic conditions. In addition to indicating widespread geographic shifts in the distribution of soil temperature and moisture regimes, our results suggest opportunities for enhancing the integration of these conditions into a quantitative framework for assessing climate change impacts on dryland ecosystem resilience and resistance that is responsive to long-term projections.
","language":"English","publisher":"Frontiers Media, Inc.","doi":"10.3389/fevo.2019.00358","usgsCitation":"Bradford, J., Schlaepfer, D., Lauenroth, W.K., Palmquist, K.A., Chambers, J.C., Maestas, J.D., and Campbell, S.B., 2019, Climate-driven shifts in soil temperature and moisture regimes suggest opportunities to enhance assessments of dryland resilience and resistance: Frontiers in Ecology and Evolution, v. 7, 358, 16 p., https://doi.org/10.3389/fevo.2019.00358.","productDescription":"358, 16 p.","ipdsId":"IP-107352","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":459723,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00358","text":"Publisher Index Page"},{"id":437323,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PJFE82","text":"USGS data release","linkHelpText":"Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada"},{"id":367777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, Arizona, British Columbia, California, Colorado, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Saskatchewan, South Dakota, Texas, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -129.462890625,\n 28.497660832963472\n ],\n [\n -94.74609375,\n 28.497660832963472\n ],\n [\n -94.74609375,\n 53.98193516209167\n ],\n [\n -129.462890625,\n 53.98193516209167\n ],\n [\n -129.462890625,\n 28.497660832963472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":771811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":771812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":771813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":771814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chambers, Jeanne C.","contributorId":178256,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":771815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maestas, Jeremy D.","contributorId":219258,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":39978,"text":"USDA Natural Resources Conservation Service, Redmond, OR","active":true,"usgs":false}],"preferred":false,"id":771816,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B.","contributorId":219259,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","email":"","middleInitial":"B.","affiliations":[{"id":39979,"text":"USDA Natural Resources Conservation Service, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":771817,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70205597,"text":"70205597 - 2019 - Comparison of physical to numerical mixing with different tracer advection schemes in estuarine environments","interactions":[],"lastModifiedDate":"2019-09-27T10:26:11","indexId":"70205597","displayToPublicDate":"2019-09-26T09:18:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of physical to numerical mixing with different tracer advection schemes in estuarine environments","docAbstract":"The numerical simulation of estuarine dynamics requires accurate prediction for the transport of tracers such as temperature and salinity. During the simulation of these processes, all numerical models introduce two kinds of tracer mixing: 1) by parameterizing the tracer eddy diffusivity through turbulence models leading to a source of physical mixing and 2) discretization of the tracer advection term that leads to numerical mixing. Both physical and numerical mixing vary with the choice of horizontal advection schemes, grid resolution, and time step. By simulating four idealized cases, this study compares physical and numerical mixing for three different tracer advection schemes. Idealized domains involving only physical and numerical mixing are used to verify the implementation of mixing terms by equating them to total tracer variance. Among the three horizontal advection schemes, the scheme that causes the least numerical mixing while maintaining a sharp front also results in larger physical mixing. Instantaneous spatial comparison of mixing components shows that physical mixing is dominant in regions of large vertical gradients while numerical mixing dominates at sharp fronts that contain large horizontal tracer gradients. In the case of estuaries, numerical mixing may dominate locally over physical mixing; however, the amount of volume integrated numerical mixing through the domain compared to integrated physical mixing remains relatively small for this particular modeling system.","language":"English","publisher":"MDPI","doi":"10.3390/jmse7100338","usgsCitation":"Kalra, T., Li, X., Warner, J., Geyer, W.R., and Wu, H., 2019, Comparison of physical to numerical mixing with different tracer advection schemes in estuarine environments: Journal of Marine Science and Engineering, v. 10, no. 7, 338, 23 p., https://doi.org/10.3390/jmse7100338.","productDescription":"338, 23 p.","additionalOnlineFiles":"N","ipdsId":"IP-093994","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459726,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse7100338","text":"Publisher Index Page"},{"id":437325,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95E8LAS","text":"USGS data release","linkHelpText":"Numerical model of salinity transport and mixing in the Hudson River Estuary"},{"id":437324,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90KDWTX","text":"USGS data release","linkHelpText":"Idealized COAWST model cases for studying the comparison of physical to numerical mixing with different tracer advection schemes in estuarine environments."},{"id":367765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kalra, Tarandeep S. 0000-0001-5468-248X tkalra@usgs.gov","orcid":"https://orcid.org/0000-0001-5468-248X","contributorId":178820,"corporation":false,"usgs":true,"family":"Kalra","given":"Tarandeep S.","email":"tkalra@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":771876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Xiangyu","contributorId":219286,"corporation":false,"usgs":false,"family":"Li","given":"Xiangyu","email":"","affiliations":[],"preferred":false,"id":771877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Geyer, W. R.","contributorId":29757,"corporation":false,"usgs":true,"family":"Geyer","given":"W.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":771879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wu, Hui","contributorId":219287,"corporation":false,"usgs":false,"family":"Wu","given":"Hui","email":"","affiliations":[],"preferred":false,"id":771880,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}