The population of American black bears (Ursus americanus) in southern New York, USA has been growing and expanding in range since the 1990s. This has motivated a need to anticipate future patterns of range expansion. We conducted a non-invasive, genetic, spatial capture-recapture (SCR) study to estimate black bear density and identify spatial patterns of population density that are potentially associated with range expansion. We collected hair samples in a 2,519-km2 study area in southern New York with barbed-wire hair snares and identified individuals and measured genetic diversity using 7 microsatellite loci and 1 sex-linked marker. We estimated a mean density of black bears in the region of 13.7 bears/100 km2, and detected a slight latitudinal gradient in density consistent with the documented range expansion. However, elevation and the amounts of forest, crop, and developed landcover types did not influence density, suggesting that bears are using a diversity of resources in this heterogeneous landscape outside their previously described distribution. These results provide the first robust baseline estimates for population density and distribution associated with different landcover types in the expanded bear range. Further, genetic diversity was comparable to that of non-expanding black bear populations in the eastern United States, and in combination with the latitudinal density gradient, suggest that the study area is not at the colonizing front of the range expansion. In addition, the diversity of landcover types used by bears in the study area implies a possible lack of constraints for further northern expansion of the black bear range. Our non-invasive, genetic, spatial capture-recapture approach has utility for studying populations of other species that may be expanding in range because SCR allows for the testing of explicit, spatial ecological hypotheses.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21248","usgsCitation":"Sun, C.C., Fuller, A.K., Hare, M.P., and Hurst, J.E., 2017, Evaluating population expansion of black bears using spatial capture-recapture: Journal of Wildlife Management, v. 81, no. 5, p. 814-823, https://doi.org/10.1002/jwmg.21248.","productDescription":"10 p.","startPage":"814","endPage":"823","ipdsId":"IP-060611","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","volume":"81","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-29","publicationStatus":"PW","scienceBaseUri":"5a06c8cce4b09af898c8611a","contributors":{"authors":[{"text":"Sun, Catherine C.","contributorId":70274,"corporation":false,"usgs":false,"family":"Sun","given":"Catherine","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":719082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurst, Jeremy E.","contributorId":177504,"corporation":false,"usgs":false,"family":"Hurst","given":"Jeremy","email":"","middleInitial":"E.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":719083,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189327,"text":"70189327 - 2017 - Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","interactions":[],"lastModifiedDate":"2017-07-11T13:09:40","indexId":"70189327","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain","docAbstract":"While global climate models (GCMs) provide useful projections of near-surface wind vectors into the 21st century, resolution is not sufficient enough for use in regional wave modeling. Statistically downscaled GCM projections from Multivariate Adaptive Constructed Analogues provide daily averaged near-surface winds at an appropriate spatial resolution for wave modeling within the orographically complex region of San Francisco Bay, but greater resolution in time is needed to capture the peak of storm events. Short-duration high wind speeds, on the order of hours, are usually excluded in statistically downscaled climate models and are of key importance in wave and subsequent coastal flood modeling. Here we present a temporal downscaling approach, similar to constructed analogues, for near-surface winds suitable for use in local wave models and evaluate changes in wind and wave conditions for the 21st century. Reconstructed hindcast winds (1975–2004) recreate important extreme wind values within San Francisco Bay. A computationally efficient method for simulating wave heights over long time periods was used to screen for extreme events. Wave hindcasts show resultant maximum wave heights of 2.2 m possible within the Bay. Changes in extreme over-water wind speeds suggest contrasting trends within the different regions of San Francisco Bay, but 21th century projections show little change in the overall magnitude of extreme winds and locally generated waves.
","language":"English","publisher":"AGU","doi":"10.1002/2016EA000193","usgsCitation":"O'Neill, A., Erikson, L.H., and Barnard, P., 2017, Downscaling wind and wavefields for 21st century coastal flood hazard projections in a region of complex terrain: Earth and Space Science, v. 4, no. 5, p. 314-334, https://doi.org/10.1002/2016EA000193.","productDescription":"21 p.","startPage":"314","endPage":"334","ipdsId":"IP-075780","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469785,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016ea000193","text":"Publisher Index Page"},{"id":343574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.06610107421876,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 37.411618795843026\n ],\n [\n -121.86035156249999,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 38.16911413556086\n ],\n [\n -123.06610107421876,\n 37.411618795843026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"5965b1b8e4b0d1f9f05b379a","contributors":{"authors":[{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":704190,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193476,"text":"70193476 - 2017 - Grassland bird productivity in warm season grass fields in southwest Wisconsin","interactions":[],"lastModifiedDate":"2017-11-10T14:51:05","indexId":"70193476","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5153,"text":"The American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Grassland bird productivity in warm season grass fields in southwest Wisconsin","docAbstract":"Surrogate grasslands established through federal set-aside programs, such as U.S. Department of Agriculture's Conservation Reserve Program (CRP), provide important habitat for grassland birds. Warm season grass CRP fields as a group have the potential for providing a continuum of habitat structure for breeding birds, depending on how the fields are managed and their floristic composition. We studied the nesting activity of four obligate grassland bird species, Bobolink (Dolichonyx oryzivorus), Eastern Meadowlark (Sturnella magna), Grasshopper Sparrow (Ammodramus savannarum), and Henslow's Sparrow (A. henslowii), in relation to vegetative composition and fire management in warm season CRP fields in southwest Wisconsin during 2009–2011. Intraspecific variation in apparent nest density was related to the number of years since the field was burned. Apparent Grasshopper Sparrow nest density was highest in the breeding season immediately following spring burns, apparent Henslow's Sparrow nest density was highest 1 y post burn, and apparent Bobolink and Eastern Meadowlark nest densities were higher in post fire years one to three. Grasshopper Sparrow nest density was highest on sites with more diverse vegetation, specifically prairie forbs, and on sites with shorter less dense vegetation. Bobolink, Eastern Meadowlark, and Henslow's Sparrow apparent nest densities were higher on sites with deeper litter; litter was the vegetative component that was most affected by spring burns. Overall nest success was 0.487 for Bobolink (22 d nesting period), 0.478 for Eastern Meadowlark (25 d nesting period), 0.507 for Grasshopper Sparrow (22 d nesting period), and 0.151 for Henslow's Sparrow (21 d nesting period). The major nest predators were grassland-associated species: thirteen-lined ground squirrel (Ictidomys tridecemlineatus), striped skunk (Mephitis mephitis), milk snake (Lampropeltis triangulum), American badger (Taxidea taxus), and western fox snake (Elaphe vulpina). Overall depredation rate was not affected by the number of years since the site had been burned. The diversity of vegetation on warm season CRP fields created by management using fire provides a continuum of structure for obligate grassland birds to use for breeding and habitat for a diversity of nest predators.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-178.1.47","usgsCitation":"Byers, C.M., Ribic, C., Sample, D.W., Dadisman, J.D., and Guttery, M., 2017, Grassland bird productivity in warm season grass fields in southwest Wisconsin: The American Midland Naturalist, v. 178, no. 1, p. 47-63, https://doi.org/10.1674/0003-0031-178.1.47.","productDescription":"17 p.","startPage":"47","endPage":"63","ipdsId":"IP-079728","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"178","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a06c8cbe4b09af898c8610c","contributors":{"authors":[{"text":"Byers, Carolyn M.","contributorId":200253,"corporation":false,"usgs":false,"family":"Byers","given":"Carolyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719183,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sample, David W.","contributorId":19484,"corporation":false,"usgs":true,"family":"Sample","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dadisman, John D.","contributorId":171934,"corporation":false,"usgs":false,"family":"Dadisman","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":721614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guttery, Michael","contributorId":191425,"corporation":false,"usgs":false,"family":"Guttery","given":"Michael","email":"","affiliations":[],"preferred":false,"id":721615,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192889,"text":"70192889 - 2017 - Reproductive ecology, spawning behavior, and juvenile distribution of Mountain Whitefish in the Madison River, Montana","interactions":[],"lastModifiedDate":"2017-11-07T13:47:51","indexId":"70192889","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive ecology, spawning behavior, and juvenile distribution of Mountain Whitefish in the Madison River, Montana","docAbstract":"Mountain Whitefish Prosopium williamsoni were historically common throughout much of the U.S. Intermountain West. However, within the last decade Mountain Whitefish have exhibited population-level declines in some rivers. In the Madison River, Montana, anecdotal evidence indicates Mountain Whitefish abundance has declined and the population is skewed toward larger individuals, which is typically symptomatic of recruitment problems. Describing reproductive development, spawning behavior, and juvenile distribution will form a foundation for investigating mechanisms influencing recruitment. We collected otoliths and gonadal samples from fish of all size-classes to characterize fecundity, age at maturity, and spawning periodicity. We implanted radio tags in mature Mountain Whitefish and relocated tagged fish in autumn 2012–2014. Timing of spawning was determined from spawning status of captured females and from density of eggs collected on egg mats. In spring 2014, we seined backwater and channel sites to describe age-0 whitefish distribution. Mountain Whitefish were highly fecund (18,454 eggs/kg body weight) annual spawners, and age at 50% maturity was 2.0 years for males and 2.6 years for females. In 2013 and 2014, spawning occurred between the third week of October and first week of November. During spawning, spawning adults and collected embryos were concentrated in the downstream 26 km of the study site, a reach characterized by a complex, braided channel. This reach had the highest CPUE of age-0 Mountain Whitefish, and the percentage of spawning adults in the 25 km upstream from a sampling site was positively associated with juvenile CPUE. Within this reach, age-0 Mountain Whitefish were associated with silt-laden backwater and eddy habitats. Future investigations on mechanisms influencing recruitment should be focused on the embryological phase and age-0 fish.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1313778","usgsCitation":"Boyer, J.K., Guy, C.S., Webb, M.A., Horton, T.B., and McMahon, T., 2017, Reproductive ecology, spawning behavior, and juvenile distribution of Mountain Whitefish in the Madison River, Montana: Transactions of the American Fisheries Society, v. 146, no. 5, p. 939-954, https://doi.org/10.1080/00028487.2017.1313778.","productDescription":"16 p.","startPage":"939","endPage":"954","ipdsId":"IP-083909","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348392,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Madison River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.0001220703125,\n 44.67841867818858\n ],\n [\n -111.06353759765625,\n 44.67841867818858\n ],\n [\n -111.06353759765625,\n 45.48324350868221\n ],\n [\n -112.0001220703125,\n 45.48324350868221\n ],\n [\n -112.0001220703125,\n 44.67841867818858\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-24","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba5","contributors":{"authors":[{"text":"Boyer, Jan K.","contributorId":193588,"corporation":false,"usgs":false,"family":"Boyer","given":"Jan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":720974,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":720975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Travis B.","contributorId":193589,"corporation":false,"usgs":false,"family":"Horton","given":"Travis","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":720976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McMahon, Thomas E.","contributorId":189425,"corporation":false,"usgs":false,"family":"McMahon","given":"Thomas E.","affiliations":[],"preferred":false,"id":720977,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192522,"text":"70192522 - 2017 - Species distribution models for a migratory bird based on citizen science and satellite tracking data","interactions":[],"lastModifiedDate":"2017-10-26T13:33:14","indexId":"70192522","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Species distribution models for a migratory bird based on citizen science and satellite tracking data","docAbstract":"Species distribution models can provide critical baseline distribution information for the conservation of poorly understood species. Here, we compared the performance of band-tailed pigeon (Patagioenas fasciata) species distribution models created using Maxent and derived from two separate presence-only occurrence data sources in New Mexico: 1) satellite tracked birds and 2) observations reported in eBird basic data set. Both models had good accuracy (test AUC > 0.8 and True Skill Statistic > 0.4), and high overlap between suitability scores (I statistic 0.786) and suitable habitat patches (relative rank 0.639). Our results suggest that, at the state-wide level, eBird occurrence data can effectively model similar species distributions as satellite tracking data. Climate change models for the band-tailed pigeon predict a 35% loss in area of suitable climate by 2070 if CO2 emissions drop to 1990 levels by 2100, and a 45% loss by 2070 if we continue current CO2 emission levels through the end of the century. These numbers may be conservative given the predicted increase in drought, wildfire, and forest pest impacts to the coniferous forests the species inhabits in New Mexico. The northern portion of the species’ range in New Mexico is predicted to be the most viable through time.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.08.001","usgsCitation":"Coxen, C.L., Frey, J.K., Carleton, S.A., and Collins, D.P., 2017, Species distribution models for a migratory bird based on citizen science and satellite tracking data: Global Ecology and Conservation, v. 11, p. 298-311, https://doi.org/10.1016/j.gecco.2017.08.001.","productDescription":"14 p.","startPage":"298","endPage":"311","ipdsId":"IP-087235","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.08.001","text":"Publisher Index Page"},{"id":347476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Mexico\",\"nation\":\"USA \"}}]}","volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cbab","contributors":{"authors":[{"text":"Coxen, Christopher L.","contributorId":198545,"corporation":false,"usgs":false,"family":"Coxen","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":716378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jennifer K.","contributorId":198546,"corporation":false,"usgs":false,"family":"Frey","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":716379,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carleton, Scott A. 0000-0001-9609-650X scarleton@usgs.gov","orcid":"https://orcid.org/0000-0001-9609-650X","contributorId":4060,"corporation":false,"usgs":true,"family":"Carleton","given":"Scott","email":"scarleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Daniel P.","contributorId":198065,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":716380,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192631,"text":"70192631 - 2017 - Fine particle retention within stream storage areas at base flow and in response to a storm event","interactions":[],"lastModifiedDate":"2017-11-06T12:31:21","indexId":"70192631","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Fine particle retention within stream storage areas at base flow and in response to a storm event","docAbstract":"Fine particles (1–100 µm), including particulate organic carbon (POC) and fine sediment, influence stream ecological functioning because they may contain or have a high affinity to sorb nitrogen and phosphorus. These particles are immobilized within stream storage areas, especially hyporheic sediments and benthic biofilms. However, fine particles are also known to remobilize under all flow conditions. This combination of downstream transport and transient retention, influenced by stream geomorphology, controls the distribution of residence times over which fine particles influence stream ecosystems. The main objective of this study was to quantify immobilization and remobilization rates of fine particles in a third-order sand-and-gravel bed stream (Difficult Run, Virginia, USA) within different geomorphic units of the stream (i.e., pool, lateral cavity, and thalweg). During our field injection experiment, a thunderstorm-driven spate allowed us to observe fine particle dynamics during both base flow and in response to increased flow. Solute and fine particles were measured within stream surface waters, pore waters, sediment cores, and biofilms on cobbles. Measurements were taken at four different subsurface locations with varying geomorphology and at multiple depths. Approximately 68% of injected fine particles were retained during base flow until the onset of the spate. Retention was evident even after the spate, with 15.4% of the fine particles deposited during base flow still retained within benthic biofilms on cobbles and 14.9% within hyporheic sediment after the spate. Thus, through the combination of short-term remobilization and long-term retention, fine particles can serve as sources of carbon and nutrients to downstream ecosystems over a range of time scales.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016WR020202","usgsCitation":"Drummond, J.D., Larsen, L.G., González-Pinzón, R., Packman, A.I., and Harvey, J., 2017, Fine particle retention within stream storage areas at base flow and in response to a storm event: Water Resources Research, v. 53, no. 7, p. 5690-5705, https://doi.org/10.1002/2016WR020202.","productDescription":"16 p.","startPage":"5690","endPage":"5705","ipdsId":"IP-085237","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469725,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr020202","text":"Publisher Index Page"},{"id":348266,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Difficult Run","volume":"53","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-16","publicationStatus":"PW","scienceBaseUri":"5a07e8b9e4b09af898c8cba9","contributors":{"authors":[{"text":"Drummond, J. D.","contributorId":198633,"corporation":false,"usgs":false,"family":"Drummond","given":"J.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":716597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, L. G.","contributorId":198634,"corporation":false,"usgs":false,"family":"Larsen","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":716598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"González-Pinzón, R.","contributorId":198635,"corporation":false,"usgs":false,"family":"González-Pinzón","given":"R.","affiliations":[],"preferred":false,"id":716599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Packman, A. I.","contributorId":198636,"corporation":false,"usgs":false,"family":"Packman","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":716600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":716596,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196812,"text":"70196812 - 2017 - Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","interactions":[],"lastModifiedDate":"2018-05-02T11:40:36","indexId":"70196812","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams","docAbstract":"Headwater stream responses to climate change will depend in part on groundwater‐surface water exchanges. We used linear modeling techniques to partition likely effects of shallow groundwater seepage and air temperature on stream temperatures for 79 sites in nine focal watersheds using hourly air and water temperature measurements collected during summer months from 2012 to 2015 in Shenandoah National Park, Virginia, USA. Shallow groundwater effects exhibited more variation within watersheds than between them, indicating the importance of reach‐scale assessments and the limited capacity to extrapolate upstream groundwater influences from downstream measurements. Boosted regression tree (BRT) models revealed intricate interactions among geomorphological landform features (stream slope, elevation, network length, contributing area, and channel confinement) and seasonal precipitation patterns (winter, spring, and summer months) that together were robust predictors of spatial and temporal variation in groundwater influence on stream temperatures. The final BRT model performed well for training data and cross‐validated samples (correlation = 0.984 and 0.760, respectively). Geomorphological and precipitation predictors of groundwater influence varied in their importance between watersheds, suggesting differences in spatial and temporal controls of recharge dynamics and the depth of the groundwater source. We demonstrate an application of the final BRT model to predict groundwater effects from landform and precipitation covariates at 1075 new sites distributed at 100 m increments within focal watersheds. Our study provides a framework to estimate effects of groundwater seepage on stream temperature in unsampled locations. We discuss applications for climate change research to account for groundwater‐surface water interactions when projecting future thermal thresholds for stream biota.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020455","usgsCitation":"Johnson, Z.C., Snyder, C.D., and Hitt, N.P., 2017, Landform features and seasonal precipitation predict shallow groundwater influence on temperature in headwater streams: Water Resources Research, v. 53, no. 7, p. 5788-5812, https://doi.org/10.1002/2017WR020455.","productDescription":"25 p.","startPage":"5788","endPage":"5812","ipdsId":"IP-086899","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":469716,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020455","text":"Publisher Index Page"},{"id":438280,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7B56H72","text":"USGS data release","linkHelpText":"Air-water temperature data for the study of groundwater influence on stream thermal regimes in Shenandoah National Park, Virginia (ver. 2.0, May 3, 2018)"},{"id":353918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.85986328125,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.09133660751176\n ],\n [\n -78.10455322265625,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.90172091499795\n ],\n [\n -78.85986328125,\n 38.09133660751176\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"7","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-20","publicationStatus":"PW","scienceBaseUri":"5afee845e4b0da30c1bfc40b","contributors":{"authors":[{"text":"Johnson, Zachary C. 0000-0002-0149-5223","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":204647,"corporation":false,"usgs":false,"family":"Johnson","given":"Zachary","email":"","middleInitial":"C.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":734560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734559,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568 nhitt@usgs.gov","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":4435,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"nhitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":734561,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191900,"text":"70191900 - 2017 - Spatiotemporal analysis of changes in lode mining claims around the McDermitt Caldera, northern Nevada and southern Oregon","interactions":[],"lastModifiedDate":"2018-02-15T14:29:28","indexId":"70191900","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal analysis of changes in lode mining claims around the McDermitt Caldera, northern Nevada and southern Oregon","docAbstract":"Resource managers and agencies involved with planning for future federal land needs are required to complete an assessment of and forecast for future land use every ten years. Predicting mining activities on federal lands is difficult as current regulations do not require disclosure of exploration results. In these cases, historic mining claims may serve as a useful proxy for determining where mining-related activities may occur. We assess the utility of using a space–time cube (STC) and associated analyses to evaluate and characterize mining claim activities around the McDermitt Caldera in northern Nevada and southern Oregon. The most significant advantage of arranging the mining claim data into a STC is the ability to visualize and compare the data, which allows scientists to better understand patterns and results. Additional analyses of the STC (i.e., Trend, Emerging Hot Spot, Hot Spot, and Cluster and Outlier Analyses) provide extra insights into the data and may aid in predicting future mining claim activities.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-017-9324-9","usgsCitation":"Coyan, J.A., Zientek, M.L., and Mihalasky, M.J., 2017, Spatiotemporal analysis of changes in lode mining claims around the McDermitt Caldera, northern Nevada and southern Oregon: Natural Resources Research, v. 26, no. 3, p. 319-337, https://doi.org/10.1007/s11053-017-9324-9.","productDescription":"19 p.","startPage":"319","endPage":"337","ipdsId":"IP-081467","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":461467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-017-9324-9","text":"Publisher Index Page"},{"id":346970,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada, Oregon","otherGeospatial":"McDermitt Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.20190429687501,\n 41.64726212881368\n ],\n [\n -117.81463623046875,\n 41.64726212881368\n ],\n [\n -117.81463623046875,\n 42.09210825254959\n ],\n [\n -118.20190429687501,\n 42.09210825254959\n ],\n [\n -118.20190429687501,\n 41.64726212881368\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"59e9b994e4b05fe04cd65c86","contributors":{"authors":[{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":713591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mihalasky, Mark J. 0000-0002-0082-3029 mjm@usgs.gov","orcid":"https://orcid.org/0000-0002-0082-3029","contributorId":3692,"corporation":false,"usgs":true,"family":"Mihalasky","given":"Mark","email":"mjm@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":713590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191828,"text":"70191828 - 2017 - Real-time geomagnetic monitoring for space weather-related applications: Opportunities and challenges","interactions":[],"lastModifiedDate":"2020-07-13T14:35:30.811512","indexId":"70191828","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Real-time geomagnetic monitoring for space weather-related applications: Opportunities and challenges","docAbstract":"An examination is made of opportunities and challenges for enhancing global, real-time geomagnetic monitoring that would be beneficial for a variety of operational projects. This enhancement in geomagnetic monitoring can be attained by expanding the geographic distribution of magnetometer stations, improving the quality of magnetometer data, increasing acquisition sampling rates, increasing the promptness of data transmission, and facilitating access to and use of the data. Progress will benefit from new partnerships to leverage existing capacities and harness multisector, cross-disciplinary, and international interests.
","language":"English","publisher":"AGU","doi":"10.1002/2017SW001665","usgsCitation":"Love, J.J., and Finn, C., 2017, Real-time geomagnetic monitoring for space weather-related applications: Opportunities and challenges: Space Weather, v. 15, no. 7, p. 820-827, https://doi.org/10.1002/2017SW001665.","productDescription":"8 p.","startPage":"820","endPage":"827","ipdsId":"IP-085207","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":347338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-24","publicationStatus":"PW","scienceBaseUri":"59f1a2a5e4b0220bbd9d9f48","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finn, Carol 0000-0003-3144-1645","orcid":"https://orcid.org/0000-0003-3144-1645","contributorId":13201,"corporation":false,"usgs":true,"family":"Finn","given":"Carol","affiliations":[],"preferred":false,"id":713247,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70190677,"text":"70190677 - 2017 - Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","interactions":[],"lastModifiedDate":"2018-08-07T12:43:44","indexId":"70190677","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1024,"text":"Biological Trace Element Research","active":true,"publicationSubtype":{"id":10}},"title":"Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories","docAbstract":"Fish provide a valuable source of beneficial nutrients and are an excellent source of low fat protein. However, fish are also the primary source of methylmercury exposure in humans. Selenium often co-occurs with mercury and there is some evidence that selenium can protect against mercury toxicity yet States issue fish consumption advisories based solely on the risks that methylmercury pose to human health. Recently, it has been suggested the selenium: mercury molar ratio be considered in risk management. In order for agencies to utilize the ratio to set consumption guidelines, it is important to evaluate the variability in selenium and mercury in different fish species. We examined 10 different freshwater fish species found within the Columbia River Basin in order to determine the inter- and intra-specific variability in the selenium: mercury molar ratios and the selenium health benefit values. We found significant variation in selenium: mercury molar ratios. The mean molar ratios for each species were all above 1:1, ranging from 3.42:1 in Walleye to 27.2:1 in Chinook salmon. There was a positive correlation between both mercury and selenium with length for each fish species apart from yellow perch and rainbow trout. All species had health benefit values greater than 2. We observed considerable variability in selenium: mercury molar ratios within fish species collected in the Columbia River Basin. Although incorporating selenium: mercury molar ratios into fish consumption holds the potential for refining advisories and assessing the risk of methylmercury exposure, the current understanding of how these ratios apply is insufficient, and further understanding of drivers of variability in the ratios is needed.
","language":"English","publisher":"Springer","doi":"10.1007/s12011-016-0907-9","usgsCitation":"Cusack, L.K., Eagles-Smith, C.A., Harding, A.K., Kile, M., and Stone, D., 2017, Selenium: Mercury molar ratios in freshwater fish in the Columbia River Basin: Potential applications for specific fish consumption advisories: Biological Trace Element Research, v. 178, no. 1, p. 136-146, https://doi.org/10.1007/s12011-016-0907-9.","productDescription":"11 p.","startPage":"136","endPage":"146","ipdsId":"IP-081806","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":345642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"178","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-12-08","publicationStatus":"PW","scienceBaseUri":"59b8f21ee4b08b1644e0aee0","contributors":{"authors":[{"text":"Cusack, Leanne K.","contributorId":196356,"corporation":false,"usgs":false,"family":"Cusack","given":"Leanne","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":710142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harding, Anna K.","contributorId":170035,"corporation":false,"usgs":false,"family":"Harding","given":"Anna","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":710143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kile, Molly","contributorId":196357,"corporation":false,"usgs":false,"family":"Kile","given":"Molly","email":"","affiliations":[],"preferred":false,"id":710144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stone, Dave","contributorId":196358,"corporation":false,"usgs":false,"family":"Stone","given":"Dave","email":"","affiliations":[],"preferred":false,"id":710145,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186181,"text":"70186181 - 2017 - Gypsum, 2016","interactions":[],"lastModifiedDate":"2018-03-28T14:09:44","indexId":"70186181","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Gypsum, 2016","docAbstract":"No abstract available.
","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Crangle, R., 2017, Gypsum, 2016: Mining Engineering, v. 69, no. 7, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-085819","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":352859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352858,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=7624&page=29"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42c","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":687775,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70186867,"text":"70186867 - 2017 - Borates, 2016","interactions":[],"lastModifiedDate":"2018-03-28T14:11:22","indexId":"70186867","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Borates, 2016","docAbstract":"No abstract available.
","language":"English","publisher":"Society for Mining, Metallurgy & Exploration","usgsCitation":"Crangle, R., 2017, Borates, 2016: Mining Engineering, v. 69, no. 7, p. 29-29.","productDescription":"1 p.","startPage":"29","endPage":"29","ipdsId":"IP-086078","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":352861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352860,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://me.smenet.org/abstract.cfm?preview=1&articleID=7624&page=29"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee854e4b0da30c1bfc42a","contributors":{"authors":[{"text":"Crangle, Robert Jr. 0000-0002-8120-3760 rcrangle@usgs.gov","orcid":"https://orcid.org/0000-0002-8120-3760","contributorId":141008,"corporation":false,"usgs":true,"family":"Crangle","given":"Robert","suffix":"Jr.","email":"rcrangle@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70194506,"text":"70194506 - 2017 - Puffins reveal contrasting relationships between forage fish and ocean climate in the North Pacific","interactions":[],"lastModifiedDate":"2018-03-26T14:44:53","indexId":"70194506","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Puffins reveal contrasting relationships between forage fish and ocean climate in the North Pacific","docAbstract":"Long-term studies of predator food habits (i.e., ‘predator-based sampling’) are useful for identifying patterns of spatial and temporal variability of forage nekton in marine ecosystems. We investigated temporal changes in forage fish availability and relationships to ocean climate by analyzing diet composition of three puffin species (horned puffin Fratercula corniculata, tufted puffin Fratercula cirrhata, and rhinoceros auklet Cerorhinca monocerata) from five sites in the North Pacific from 1978–2012. Dominant forage species included squids and hexagrammids in the western Aleutians, gadids and Pacific sand lance (Ammodytes personatus) in the eastern Aleutians and western Gulf of Alaska (GoA), and sand lance and capelin (Mallotus villosus) in the northern and eastern GoA. Interannual fluctuations in forage availability dominated variability in the western Aleutians, whereas lower-frequency shifts in forage fish availability dominated elsewhere. We produced regional multivariate indicators of sand lance, capelin, and age-0 gadid availability by combining data across species and sites using Principal Component Analysis, and related these indices to environmental factors including sea level pressure (SPL), winds, and sea surface temperature (SST). There was coherence in the availability of sand lance and capelin across the study area. Sand lance availability increased linearly with environmental conditions leading to warmer ocean temperatures, whereas capelin availability increased in a non-linear manner when environmental changes led to lower ocean temperatures. Long-term studies of puffin diet composition appear to be a promising tool for understanding the availability of these difficult-to-survey forage nekton in remote regions of the North Pacific.
","language":"English","publisher":"Wiley","doi":"10.1111/fog.12204","usgsCitation":"Sydeman, W., Piatt, J.F., Thompson, S.A., Garcia-Reyes, M., Hatch, S., Arimitsu, M.L., Slater, L., Williams, J.C., Rojek, N.A., Zador, S.G., and Renner, H.M., 2017, Puffins reveal contrasting relationships between forage fish and ocean climate in the North Pacific: Fisheries Oceanography, v. 26, no. 4, p. 379-395, https://doi.org/10.1111/fog.12204.","productDescription":"17 p.","startPage":"379","endPage":"395","ipdsId":"IP-063216","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469714,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/fog.12204","text":"External Repository"},{"id":349629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"5a60fb8de4b06e28e9c23274","contributors":{"authors":[{"text":"Sydeman, William J.","contributorId":172574,"corporation":false,"usgs":false,"family":"Sydeman","given":"William J.","affiliations":[],"preferred":false,"id":724160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":724159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":724161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia-Reyes, Marisol","contributorId":201043,"corporation":false,"usgs":false,"family":"Garcia-Reyes","given":"Marisol","affiliations":[],"preferred":false,"id":724162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatch, Scott A.","contributorId":201044,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott A.","affiliations":[],"preferred":false,"id":724163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":724164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Slater, Leslie","contributorId":201045,"corporation":false,"usgs":false,"family":"Slater","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":724165,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Jeffrey C.","contributorId":126882,"corporation":false,"usgs":false,"family":"Williams","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":724166,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rojek, Nora A.","contributorId":201046,"corporation":false,"usgs":false,"family":"Rojek","given":"Nora","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724167,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zador, Stephani G.","contributorId":201047,"corporation":false,"usgs":false,"family":"Zador","given":"Stephani","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724168,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Renner, Heather M.","contributorId":201048,"corporation":false,"usgs":false,"family":"Renner","given":"Heather","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724169,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70192089,"text":"70192089 - 2017 - Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product","interactions":[],"lastModifiedDate":"2017-10-23T15:52:11","indexId":"70192089","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product","docAbstract":"Seasonal vegetation phenology can significantly alter surface albedo which in turn affects the global energy balance and the albedo warming/cooling feedbacks that impact climate change. To monitor and quantify the surface dynamics of heterogeneous landscapes, high temporal and spatial resolution synthetic time series of albedo and the enhanced vegetation index (EVI) were generated from the 500 m Moderate Resolution Imaging Spectroradiometer (MODIS) operational Collection V006 daily BRDF/NBAR/albedo products and 30 m Landsat 5 albedo and near-nadir reflectance data through the use of the Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM). The traditional Landsat Albedo (Shuai et al., 2011) makes use of the MODIS BRDF/Albedo products (MCD43) by assigning appropriate BRDFs from coincident MODIS products to each Landsat image to generate a 30 m Landsat albedo product for that acquisition date. The available cloud free Landsat 5 albedos (due to clouds, generated every 16 days at best) were used in conjunction with the daily MODIS albedos to determine the appropriate 30 m albedos for the intervening daily time steps in this study. These enhanced daily 30 m spatial resolution synthetic time series were then used to track albedo and vegetation phenology dynamics over three Ameriflux tower sites (Harvard Forest in 2007, Santa Rita in 2011 and Walker Branch in 2005). These Ameriflux sites were chosen as they are all quite nearby new towers coming on line for the National Ecological Observatory Network (NEON), and thus represent locations which will be served by spatially paired albedo measures in the near future. The availability of data from the NEON towers will greatly expand the sources of tower albedometer data available for evaluation of satellite products. At these three Ameriflux tower sites the synthetic time series of broadband shortwave albedos were evaluated using the tower albedo measurements with a Root Mean Square Error (RMSE) less than 0.013 and a bias within the range of ±0.006. These synthetic time series provide much greater spatial detail than the 500 m gridded MODIS data, especially over more heterogeneous surfaces, which improves the efforts to characterize and monitor the spatial variation across species and communities. The mean of the difference between maximum and minimum synthetic time series of albedo within the MODIS pixels over a subset of satellite data of Harvard Forest (16 km by 14 km) was as high as 0.2 during the snow-covered period and reduced to around 0.1 during the snow-free period. Similarly, we have used STARFM to also couple MODIS Nadir BRDF Adjusted Reflectances (NBAR) values with Landsat 5 reflectances to generate daily synthetic times series of NBAR and thus Enhanced Vegetation Index (NBAR-EVI) at a 30 m resolution. While normally STARFM is used with directional reflectances, the use of the view angle corrected daily MODIS NBAR values will provide more consistent time series. These synthetic times series of EVI are shown to capture seasonal vegetation dynamics with finer spatial and temporal details, especially over heterogeneous land surfaces.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2017.03.008","usgsCitation":"Wang, Z., Schaaf, C.B., Sun, Q., Kim, J., Erb, A.M., Gao, F., Roman, M.O., Yang, Y., Petroy, S., Taylor, J., Masek, J.G., Morisette, J.T., Zhang, X., and Papuga, S.A., 2017, Monitoring land surface albedo and vegetation dynamics using high spatial and temporal resolution synthetic time series from Landsat and the MODIS BRDF/NBAR/albedo product: International Journal of Applied Earth Observation and Geoinformation, v. 59, p. 104-117, https://doi.org/10.1016/j.jag.2017.03.008.","productDescription":"14 p.","startPage":"104","endPage":"117","ipdsId":"IP-083678","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":469719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jag.2017.03.008","text":"Publisher Index 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When interbedded clay layers are present, the complexity is more pronounced because hydrate dissociation tends to occur preferentially in the sediments adjacent to the clay layers due to clay layers acting as a heat source. This would potentially lead to shearing deformation along the sand/clay contacts and may contribute to solid migration, which hindered past field-scale gas production tests. This paper presents a near-wellbore simulation of sand/clay interbedded hydrate-bearing sediments that have been subjected to depressurization and discusses the effect of clay layers on sand production.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of the 9th International Conference on Gas Hydrates","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Uchida, S., Lin, J., Myshakin, E., Seol, Y., Collett, T.S., and Boswell, R., 2017, Numerical simulations of sand production in interbedded hydrate-bearing sediments during depressurization, in Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 10 p.","productDescription":"10 p.","ipdsId":"IP-084858","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344335,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/Uchida-ICGH9-839-SUR1.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa54e4b0ec1a488b8bfe","contributors":{"authors":[{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":706347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jeen-Shang","contributorId":195141,"corporation":false,"usgs":false,"family":"Lin","given":"Jeen-Shang","email":"","affiliations":[],"preferred":false,"id":706348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":706349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":706350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":706346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195143,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706351,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189784,"text":"70189784 - 2017 - Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","interactions":[],"lastModifiedDate":"2017-07-26T14:57:40","indexId":"70189784","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model","docAbstract":"The numerical simulation of thin hydrate-bearing sand layers interbedded with mud layers is investigated. In this model, the lowest hydrate layer occurs at the base of gas hydrate stability and overlies a thinly-interbedded saline aquifer. The predicted gas rates reach 6.25 MMscf/day (1.77 x 105 m3 /day) after 90 days of continuous depressurization with manageable water production. Development of horizontal dissociating interfaces between hydrate-bearing sand and mud layers is a primary determinant of reservoir performance. A set of simulations has been executed to assess uncertainty in in situ permeability and to determine the impact of the saline aquifer on productivity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceeding of the 9th International Conference on Gas Hydrates","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"9th International Conference on Gas Hydrates","conferenceDate":"June 25-30, 2017","conferenceLocation":"Denver, CO","language":"English","usgsCitation":"Myshakin, E., Lin, J., Uchida, S., Seol, Y., Collett, T.S., and Boswell, R., 2017, Numerical studies of depressurization-induced gas production from an interbedded marine turbidite gas hydrate reservoir model, in Proceeding of the 9th International Conference on Gas Hydrates, Denver, CO, June 25-30, 2017, 18 p.","productDescription":"18 p.","ipdsId":"IP-084857","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":344338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344337,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/840-ICGH9-Myshakin.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5979aa54e4b0ec1a488b8c02","contributors":{"authors":[{"text":"Myshakin, Evgeniy","contributorId":195140,"corporation":false,"usgs":false,"family":"Myshakin","given":"Evgeniy","affiliations":[],"preferred":false,"id":706341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Jeen-Shang","contributorId":195141,"corporation":false,"usgs":false,"family":"Lin","given":"Jeen-Shang","email":"","affiliations":[],"preferred":false,"id":706342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uchida, Shun","contributorId":195142,"corporation":false,"usgs":false,"family":"Uchida","given":"Shun","email":"","affiliations":[],"preferred":false,"id":706343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":706344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":706340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":195137,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[],"preferred":false,"id":706345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189497,"text":"70189497 - 2017 - Intra-reach headwater fish assemblage structure","interactions":[],"lastModifiedDate":"2017-07-13T16:18:05","indexId":"70189497","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5462,"text":"The Open Ecology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Intra-reach headwater fish assemblage structure","docAbstract":"Large-scale conservation efforts can take advantage of modern large databases and regional modeling and assessment methods. However, these broad-scale efforts often assume uniform average habitat conditions and/or species assemblages within stream reaches.
","language":"English","publisher":"Bentham Open","doi":"10.2174/1874213001710010001","usgsCitation":"McKenna, J., 2017, Intra-reach headwater fish assemblage structure: The Open Ecology Journal, v. 10, no. 1, p. 1-12, https://doi.org/10.2174/1874213001710010001.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-078892","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874213001710010001","text":"Publisher Index Page"},{"id":343826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5968869be4b0d1f9f05f5960","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":627,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":704911,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70195151,"text":"70195151 - 2017 - The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale","interactions":[],"lastModifiedDate":"2025-05-14T19:01:49.827094","indexId":"70195151","displayToPublicDate":"2017-07-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale","docAbstract":"Soil microbial communities control critical ecosystem processes such as decomposition, nutrient cycling, and soil organic matter formation. Continental scale patterns in the composition and functioning of microbial communities are related to climatic, biotic, and edaphic factors such as temperature and precipitation, plant community composition, and soil carbon, nitrogen, and pH. Although these relationships have been well explored individually, the examination of the factors that may act directly on microbial communities vs. those that may act indirectly through other ecosystem properties has not been well developed. To further such understanding, we utilized structural equation modeling (SEM) to evaluate a set of hypotheses about the direct and indirect effects of climatic, biotic, and edaphic variables on microbial communities across the continental United States. The primary goals of this work were to test our current understanding of the interactions among climate, soils, and plants in affecting microbial community composition, and to examine whether variation in the composition of the microbial community affects potential rates of soil enzymatic activities. A model of interacting factors created through SEM shows several expected patterns. Distal factors such as climate had indirect effects on microbial communities by influencing plant productivity, soil mineralogy, and soil pH, but factors related to soil organic matter chemistry had the most direct influence on community composition. We observed that both plant productivity and soil mineral composition were important indirect influences on community composition at the continental scale, both interacting to affect organic matter content and microbial biomass and ultimately community composition. Although soil hydrolytic enzymes were related to the moisture regime and soil carbon, oxidative enzymes were also affected by community composition, reflected in the abundance of soil fungi. These results highlight that soil microbial communities can be modeled within the context of multiple interacting ecosystem properties acting both directly and indirectly on their composition and function, and this provides a rich and informative context with which to examine communities. This work also highlights that variation in climate, microbial biomass, and microbial community composition can affect maximum rates of soil enzyme activities, potentially influencing rates of decomposition and nutrient mineralization in soils.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1883","usgsCitation":"Waldrop, M.P., Holloway, J.M., Smith, D.B., Goldhaber, M.B., Drenovsky, R.E., Scow, K.M., Dick, R., Howard, D.M., Wylie, B.K., and Grace, J.B., 2017, The interacting roles of climate, soils, and plant production on soil microbial communities at a continental scale: Ecology, v. 98, no. 7, p. 1957-1967, https://doi.org/10.1002/ecy.1883.","productDescription":"11 p.","startPage":"1957","endPage":"1967","ipdsId":"IP-079060","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":351294,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":469707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://collected.jcu.edu/fac_bib_2017/9","text":"Publisher Index Page"}],"volume":"98","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-14","publicationStatus":"PW","scienceBaseUri":"5a7c1e7be4b00f54eb22934d","contributors":{"authors":[{"text":"Waldrop, Mark P. 0000-0003-1829-7140 mwaldrop@usgs.gov","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":1599,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","email":"mwaldrop@usgs.gov","middleInitial":"P.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":727202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668 jholloway@usgs.gov","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":918,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","email":"jholloway@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, David B. 0000-0001-8396-9105 dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":138565,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldhaber, Martin B. 0000-0002-1785-4243 mgold@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":1339,"corporation":false,"usgs":true,"family":"Goldhaber","given":"Martin","email":"mgold@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":727205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drenovsky, R. 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Such indirect costs of predation risk have received increased attention in recent years, but the relative importance of direct vs. indirect predation costs to population growth (λ) across species remains unclear. We measured direct nest predation rates as well as indirect benefits (i.e., reduced predation rates) and costs (i.e., decreased reproductive output) arising from parental responses to perceived offspring predation risk for 10 songbird species breeding along natural gradients in nest predation risk. We show that reductions in seasonal fecundity from behavioral responses to perceived predation risk represent significant demographic costs for six of the 10 species. However, demographic costs from these indirect predation effects on seasonal fecundity comprised only 12% of cumulative predation costs averaged across species. In contrast, costs from direct predation mortality comprised 88% of cumulative predation costs averaged across species. Demographic costs from direct offspring predation were relatively more important for species with higher within-season residual-reproductive value (i.e., multiple-brooded species) than for species with lower residual-reproductive value (i.e., single-brooded species). Costs from indirect predation effects were significant across single- but not multiple-brooded species. Ultimately, demographic costs from behavioral responses to offspring predation risk differed among species as a function of their life-history strategies. Yet direct predation mortality generally wielded a stronger influence than indirect effects on seasonal fecundity and projected λ across species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1860","usgsCitation":"LaManna, J.A., and Martin, T.E., 2017, Seasonal fecundity and costs to λ are more strongly affected by direct than indirect predation effects across species: Ecology, v. 98, no. 7, p. 1829-1838, https://doi.org/10.1002/ecy.1860.","productDescription":"10 p.","startPage":"1829","endPage":"1838","ipdsId":"IP-075836","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","volume":"98","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-08","publicationStatus":"PW","scienceBaseUri":"5a0425b6e4b0dc0b45b45344","contributors":{"authors":[{"text":"LaManna, Joseph A.","contributorId":171738,"corporation":false,"usgs":false,"family":"LaManna","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716734,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189122,"text":"70189122 - 2017 - How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","interactions":[],"lastModifiedDate":"2017-06-30T12:08:19","indexId":"70189122","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?","docAbstract":"Suspended sediment concentration is an important estuarine health indicator. Estuarine ecosystems rely on the maintenance of habitat conditions, which are changing due to direct human impact and climate change. This study aims to evaluate the impact of climate change relative to engineering measures on estuarine fine sediment dynamics and sediment budgets. We use the highly engineered San Francisco Bay-Delta system as a case study. We apply a process-based modeling approach (Delft3D-FM) to assess the changes in hydrodynamics and sediment dynamics resulting from climate change and engineering scenarios. The scenarios consider a direct human impact (shift in water pumping location), climate change (sea level rise and suspended sediment concentration decrease), and abrupt disasters (island flooding, possibly as the results of an earthquake). Levee failure has the largest impact on the hydrodynamics of the system. Reduction in sediment input from the watershed has the greatest impact on turbidity levels, which are key to primary production and define habitat conditions for endemic species. Sea level rise leads to more sediment suspension and a net sediment export if little room for accommodation is left in the system due to continuous engineering works. Mitigation measures like levee reinforcement are effective for addressing direct human impacts, but less effective for a persistent, widespread, and increasing threat like sea level rise. Progressive adaptive mitigation measures to the changes in sediment and flow dynamics resulting from sea level rise may be a more effective strategy. Our approach shows that a validated process-based model is a useful tool to address long-term (decades to centuries) changes in sediment dynamics in highly engineered estuarine systems. In addition, our modeling approach provides a useful basis for long-term, process-based studies addressing ecosystem dynamics and health.
","language":"English","publisher":"Springer","doi":"10.1007/s10584-017-1954-8","usgsCitation":"Achete, F., Van der Wegen, M., Roelvink, J.A., and Jaffe, B.E., 2017, How can climate change and engineered water conveyance affect sediment dynamics in the San Francisco Bay-Delta system?: Climatic Change, v. 142, p. 375-389, https://doi.org/10.1007/s10584-017-1954-8.","productDescription":"15 p.","startPage":"375","endPage":"389","ipdsId":"IP-081766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461471,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-017-1954-8","text":"Publisher Index Page"},{"id":343222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.3709716796875,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 37.26968150969715\n ],\n [\n -120.6243896484375,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 39.39799959542146\n ],\n [\n -123.3709716796875,\n 37.26968150969715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"142","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f9","contributors":{"authors":[{"text":"Achete, Fernanda","contributorId":174686,"corporation":false,"usgs":false,"family":"Achete","given":"Fernanda","email":"","affiliations":[{"id":27497,"text":"UNESCO-IHE, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":703061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Wegen, Mick","contributorId":191095,"corporation":false,"usgs":false,"family":"Van der Wegen","given":"Mick","email":"","affiliations":[],"preferred":false,"id":703062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, Jan Adriaan","contributorId":194052,"corporation":false,"usgs":false,"family":"Roelvink","given":"Jan","email":"","middleInitial":"Adriaan","affiliations":[],"preferred":false,"id":703063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaffe, Bruce E. 0000-0002-8816-5920 bjaffe@usgs.gov","orcid":"https://orcid.org/0000-0002-8816-5920","contributorId":2049,"corporation":false,"usgs":true,"family":"Jaffe","given":"Bruce","email":"bjaffe@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":703060,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189120,"text":"70189120 - 2017 - Yellowstone grizzly bears: Ecology and conservation of an icon of wildness","interactions":[],"lastModifiedDate":"2017-06-30T13:17:35","indexId":"70189120","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Yellowstone grizzly bears: Ecology and conservation of an icon of wildness","docAbstract":"No abstract available.
The 2017 Desert Symposium field trip will highlight recent work by the U.S. Geological Survey geologists and geophysicists, who have been mapping young sediment and geomorphology associated with active tectonic features in the least well-known part of the eastern California Shear Zone (ECSZ). This area, stretching from Barstow eastward in a giant arc to end near the Granite Mountains on the south and the Avawatz Mountains on the north (Fig. 1-1), encompasses the two major structural components of the ECSZ—east-striking sinistral faults and northwest-striking dextral faults—as well as reverseoblique and normal-oblique faults that are associated with topographic highs and sags, respectively. In addition, folds and stepovers (both restraining stepovers that form pop-up structures and releasing stepovers that create narrow basins) have been identified.
The ECSZ is a segment in the ‘soft’ distributed deformation of the North American plate east of the San Andreas fault (Fig. 1-1), where it takes up approximately 20-25% of plate motion in a broad zone of right-lateral shear (Sauber et al., 1994) The ECSZ (sensu strictu) begins in the Joshua Tree area and passes north through the Mojave Desert, past the Owens Valley-to-Death Valley swath and northward, where it is termed the Walker Lane. It has been defined as the locus of active faulting (Dokka and Travis, 1990), but when the full history from about 10 Ma forward is considered, it lies in a broader zone of right shear that passes westward in the Mojave Desert to the San Andreas fault (Mojave strike-slip province of Miller and Yount, 2002) and passes eastward to the Nevada state line or beyond (Miller, this volume).
We will visit several accessible highlights for newly studied faults, signs of young deformation, and packages of syntectonic sediments. These pieces of a complex active tectonic puzzle have yielded some answers to longstanding questions such as:
Ammodramus savannarum ammolegus—commonly referred to as the Arizona Grasshopper Sparrow—occurs in the desert and plains grasslands of southeastern Arizona, southwestern New Mexico, and northern Sonora, Mexico. Although a subspecies of conservation concern, this is the first intensive study of its life history and breeding ecology, providing baseline data and facilitating comparisons with other North American Grasshopper Sparrow subspecies. Specifically, I found A. s. ammolegus males generally weighed less than other subspecies (16.0 ± 0.8 g) but with intermediate exposed culmen length (11.6 ± 0.5 mm) and wing chord length similar to the other two migratory subspecies (62.7 ± 1.5 mm). Territory size for A. s. ammolegus was 0.72 ± 0.37 ha, with some variation between sites and among years, possibly indicating variation in habitat quality across spatial and temporal scales. The return rate for A. s. ammolegus males was 39.2%. Nest initiation for A. s. ammolegus was early to mid-July after the monsoons had begun. Domed nests were constructed on the ground, primarily under native bunch grasses, and frequently with a tunnel extending beyond the nest rim, with nest openings oriented north. Clutch size was 3.97 ± 0.68, with no evidence of Brown-headed Cowbird (Molothrus ater) nest parasitism. Extreme climate factors in the arid Southwest may have affected the life history and morphology of A. s. ammolegus as compared to other subspecies, influencing body size and mass, culmen length, breeding phenology, and nest orientation. Other geographic variation occurred in return rates, clutch size, and nest parasitism rates. The baseline data for A. s. ammolegus obtained in this study will inform future taxonomic and ecological studies as well as conservation planning. Comparisons of A. s. ammolegus morphometrics with those of other subspecies will assist field biologists in distinguishing among subspecies where they overlap, especially on wintering grounds.
","language":"English","publisher":"University of Notre Dame","doi":"10.1674/0003-0031-178.1.64","usgsCitation":"Ruth, J.M., 2017, Life history attributes of Arizona Grasshopper Sparrow (Ammodramus savannarum ammolegus) and comparisons with other North American subspecies: The American Midland Naturalist, v. 178, no. 1, p. 64-81, https://doi.org/10.1674/0003-0031-178.1.64.","productDescription":"18 p.","startPage":"64","endPage":"81","ipdsId":"IP-071337","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":343239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":343538,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7C53JCF","text":"Life history attributes data for Arizona Grasshopper Sparrow (Ammodramus savannarum ammolegus) in Arizona 2013"}],"country":"United States","state":"Arizona","county":"Santa Cruz County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.60245513916014,\n 31.69048967384248\n ],\n [\n -110.59026718139647,\n 31.69048967384248\n ],\n [\n -110.59026718139647,\n 31.700567706559042\n ],\n [\n -110.60245513916014,\n 31.700567706559042\n ],\n [\n -110.60245513916014,\n 31.69048967384248\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.51593780517578,\n 31.596229065564227\n ],\n [\n -110.5034065246582,\n 31.596229065564227\n ],\n [\n -110.5034065246582,\n 31.60675591735292\n ],\n [\n -110.51593780517578,\n 31.60675591735292\n ],\n [\n -110.51593780517578,\n 31.596229065564227\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"178","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f4","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":703095,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189130,"text":"70189130 - 2017 - Tracking the fate of nitrate through pulse-flow wetlands: A mesocosm scale 15N enrichment tracer study","interactions":[],"lastModifiedDate":"2017-06-30T14:31:10","indexId":"70189130","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tracking the fate of nitrate through pulse-flow wetlands: A mesocosm scale 15N enrichment tracer study","title":"Tracking the fate of nitrate through pulse-flow wetlands: A mesocosm scale 15N enrichment tracer study","docAbstract":"Quantitative information about the fate of applied nitrate (NO3-N) in pulse-flow constructed wetlands is essential for designing wetland treatment systems and assessing their nitrogen removal services for agricultural and stormwater applications. Although many studies have documented NO3-N losses in wetlands, controlled experiments indicating the relative importance of different processes and N sinks are scarce. In the current study, 15NO3-N isotope enrichment tracer experiments were conducted in wetland mesocosms of two different wetland soil types at two realistic agricultural NO3-N source loads. The 15N label was traced from the source NO3-N into plant biomass, soil (including organic matter and ammonium), and N-gas constituents over 7–10 day study periods. All sinks responded positively to higher NO3-N loading. Plant uptake exceeded denitrification 2–3 fold in the low NO3-N loading experiments, while both fates were nearly equivalent in the high loading experiments. One to two years later, soils largely retained the assimilated tracer N, whereas plants had lost much of it. Results demonstrated that plant and microbial assimilation in the soil (temporary N sinks) can exceed denitrification (permanent N loss) in pulse-flow environments and must be considered by wetland designers and managers for optimizing nitrogen removal potential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2017.06.016","usgsCitation":"Messer, T.L., Burchell, M.R., Bohlke, J., and Tobias, C.R., 2017, Tracking the fate of nitrate through pulse-flow wetlands: A mesocosm scale 15N enrichment tracer study: Ecological Engineering, v. 106, no. Part A, p. 597-608, https://doi.org/10.1016/j.ecoleng.2017.06.016.","productDescription":"12 p.","startPage":"597","endPage":"608","ipdsId":"IP-087527","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":461479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2017.06.016","text":"Publisher Index Page"},{"id":343237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"Part A","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59576333e4b0d1f9f051b4f1","contributors":{"authors":[{"text":"Messer, Tiffany L.","contributorId":194057,"corporation":false,"usgs":false,"family":"Messer","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burchell, Michael R.","contributorId":174553,"corporation":false,"usgs":false,"family":"Burchell","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":703098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":703096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tobias, Craig R.","contributorId":194058,"corporation":false,"usgs":false,"family":"Tobias","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":703099,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70189119,"text":"70189119 - 2017 - Two-step adaptive management for choosing between two management actions","interactions":[],"lastModifiedDate":"2025-01-29T15:50:41.671359","indexId":"70189119","displayToPublicDate":"2017-06-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Two-step adaptive management for choosing between two management actions","docAbstract":"Adaptive management is widely advocated to improve environmental management. Derivations of optimal strategies for adaptive management, however, tend to be case specific and time consuming. In contrast, managers might seek relatively simple guidance, such as insight into when a new potential management action should be considered, and how much effort should be expended on trialing such an action. We constructed a two-time-step scenario where a manager is choosing between two possible management actions. The manager has a total budget that can be split between a learning phase and an implementation phase. We use this scenario to investigate when and how much a manager should invest in learning about the management actions available. The optimal investment in learning can be understood intuitively by accounting for the expected value of sample information, the benefits that accrue during learning, the direct costs of learning, and the opportunity costs of learning. We find that the optimal proportion of the budget to spend on learning is characterized by several critical thresholds that mark a jump from spending a large proportion of the budget on learning to spending nothing. For example, as sampling variance increases, it is optimal to spend a larger proportion of the budget on learning, up to a point: if the sampling variance passes a critical threshold, it is no longer beneficial to invest in learning. Similar thresholds are observed as a function of the total budget and the difference in the expected performance of the two actions. We illustrate how this model can be applied using a case study of choosing between alternative rearing diets for hihi, an endangered New Zealand passerine. Although the model presented is a simplified scenario, we believe it is relevant to many management situations. Managers often have relatively short time horizons for management, and might be reluctant to consider further investment in learning and monitoring beyond collecting data from a single time period.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1515","usgsCitation":"Moore, A.L., Walker, L., Runge, M.C., McDonald-Madden, E., and McCarthy, M.A., 2017, Two-step adaptive management for choosing between two management actions: Ecological Applications, v. 27, no. 4, p. 1210-1222, https://doi.org/10.1002/eap.1515.","productDescription":"13 p.","startPage":"1210","endPage":"1222","ipdsId":"IP-076800","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":490045,"rank":3,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-01605477","text":"External Repository"},{"id":343215,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":357277,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70189119/70189119.pdf","text":"USGS open-access version of article","linkFileType":{"id":1,"text":"pdf"}}],"volume":"27","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-19","publicationStatus":"PW","scienceBaseUri":"59576334e4b0d1f9f051b4ff","contributors":{"authors":[{"text":"Moore, Alana L.","contributorId":194047,"corporation":false,"usgs":false,"family":"Moore","given":"Alana","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":703051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Leila","contributorId":194048,"corporation":false,"usgs":false,"family":"Walker","given":"Leila","email":"","affiliations":[],"preferred":false,"id":703052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":703050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald-Madden, Eve","contributorId":139968,"corporation":false,"usgs":false,"family":"McDonald-Madden","given":"Eve","email":"","affiliations":[{"id":13337,"text":"CSIRO Ecosystem Services, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":703053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Michael A","contributorId":173778,"corporation":false,"usgs":false,"family":"McCarthy","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":703054,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}