Although development and urbanization are typically believed to have negative impacts on carnivoran species, some species can successfully navigate an urban matrix. Sympatric carnivorans compete for limited resources in urban areas, likely with system-specific impacts to their distributions and activity patterns. We used automatically triggered wildlife cameras to assess the local distribution and co-existence of Canis latrans (Coyote), Vulpes vulpes (Red Fox), and Urocyon cinereoargenteus (Gray Fox) across the Pioneer Valley, MA, in relation to different levels of human development. We placed cameras at 79 locations in forested, altered, and urban land-use areas from September to November 2012 and accumulated 1670 trap nights. We determined site characteristics and detection rates for 12 other wildlife species for each camera location to develop a generalized linear model for the local distribution of each focal canid species across the study area. We also compared diel activity patterns among Coyotes, Red Foxes, and Gray Foxes, and calculated coefficients of overlap between each pair. The local distribution of Coyotes was positively associated with the detection rates of their prey and not associated with detection rates of sympatric carnivoran species. Red Foxes and Gray Foxes had negative relationships with the detection rate of Coyotes, and none of the 3 canid species showed a positive correlation with increased levels of urbanization. There was a high degree of temporal overlap in diel activity patterns and limited spatial overlap of our focal species, which suggests that any competition avoidance across our study area occurred at the spatial level. Coyotes fill the role of top predator in the Pioneer Valley, and likely have a negative impact on the local distributions of smaller canids, while their own local distributions seem to be driven by prey availability.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.026.0208","usgsCitation":"LeFlore, E.G., Fuller, T.K., Finn, J.T., Organ, J.F., and DeStefano, S., 2019, Wild canid distribution and co-existence in a natural–urban matrix of the Pioneer Valley of Western Massachusetts: Northeastern Naturalist, v. 26, no. 2, p. 325-342, https://doi.org/10.1656/045.026.0208.","productDescription":"18 p.","startPage":"325","endPage":"342","ipdsId":"IP-070732","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":364399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachesetts","county":"Franklin County, Hampshire County","otherGeospatial":"Pioneer Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.58255004882812,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.30067461858169\n ],\n [\n -72.38616943359375,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.50551526821832\n ],\n [\n -72.58255004882812,\n 42.30067461858169\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"LeFlore, Eric G.","contributorId":216045,"corporation":false,"usgs":false,"family":"LeFlore","given":"Eric","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":763749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Todd K.","contributorId":216046,"corporation":false,"usgs":true,"family":"Fuller","given":"Todd","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":763750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":763751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Organ, John F. 0000-0002-0959-0639 jorgan@usgs.gov","orcid":"https://orcid.org/0000-0002-0959-0639","contributorId":189047,"corporation":false,"usgs":true,"family":"Organ","given":"John","email":"jorgan@usgs.gov","middleInitial":"F.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":763432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":763433,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203850,"text":"70203850 - 2019 - Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","interactions":[],"lastModifiedDate":"2019-06-18T15:29:29","indexId":"70203850","displayToPublicDate":"2019-05-31T15:27:43","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017","docAbstract":"Whitebark pine (Pinus albicaulis) grows at high elevations and in subalpine communities in the Pacific Northwest and Northern Rocky Mountains. Limber pine (Pinus flexilis) occurs in western North America across a broad elevational gradient from the Canadian Rocky Mountains into parts of New Mexico and Arizona and from southern California eastward to the few, isolated populations existing on the western boundary of the Dakotas and Nebraska (Steele 1990, Schoettle and Rochelle 2000). Both of these five-needle pine species play a variety of ecological roles and are considered key components in the their environments. Currently, whitebark pine and limber pine are being impacted by multiple ecological disturbances. White pine blister rust, caused by the introduced fungus Cronartium ribicola, mountain pine beetle (Dendroctonus ponderosae), dwarf mistletoe (Arceuthobium spp.), wildfires, and drought all pose significant threats to the persistence of healthy five-needle populations. An effort was initiated in 2013 by the National Park Service and the Wyoming Bureau of Land Management (WYBLM) to evaluate and monitor the long-term health trajectory of five-needle pines on WYBLM lands within the Greater Yellowstone Ecosystem (GYE). With guidance from the Interagency Whitebark Pine Monitoring Program protocol, and employing a rapid assessment survey technique specifically designed for this endeavor, we monitored whitebark pine trees in 2013, 2014, 2016, 2017. We estimated the proportion of live, five-needle pine trees (>1.4 m tall) infected with white pine blister rust, documented blister rust infection severity by the occurrence and location of persisting and new infections, determined mortality of five-needle pine trees and described potential factors contributing to the death of trees, and assessed the multiple components of recruitment of understory five-needle pine into the reproductive population. White pine blister rust was widespread throughout WYBLM lands within the GYE. Using a combined ratio estimator we found that the proportion of live, >1.4 m tall five-needle pine trees infected with white pine blister rust was 0.156 (±0.054 SE; this estimate combines all surveyed trees). Bole cankers were 25% more prevalent than branch cankers in all five-needle pines observed. Mortality of surveyed trees on WYBLM lands was predominantly attributed to mountain pine beetle. For seedlings and saplings, a total of 4003 live, ≤1.4 m tall five-needle pines were documented. Cones or cone scars were recorded on 745 of the live trees. Of these reproducing trees, 44 were recorded with white pine blister rust infection. Long-term monitoring on five-needle pines on WYBLM lands will continue into the future.","language":"English","publisher":"National Park Service","usgsCitation":"Erin Shanahan, Kristin Legg, Daley, R., Irvine, K., Siri Wilmoth, and Jackson, J., 2019, Monitoring five-needle pine on Bureau of Land Management lands in Wyoming summary report for 2013, 2014, 2016, 2017, 102 p.","productDescription":"102 p.","ipdsId":"IP-107458","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":364804,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364730,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/DownloadFile/626202"}],"country":"United 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\"}}]}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erin Shanahan","contributorId":216296,"corporation":false,"usgs":false,"family":"Erin Shanahan","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kristin Legg","contributorId":216297,"corporation":false,"usgs":false,"family":"Kristin Legg","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":764452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":172333,"corporation":false,"usgs":false,"family":"Daley","given":"Rob","email":"","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":764453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irvine, Kathryn","contributorId":216295,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":764450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siri Wilmoth","contributorId":173520,"corporation":false,"usgs":false,"family":"Siri Wilmoth","affiliations":[{"id":27240,"text":"Wilmoth Statistical Consulting, Gardiner, MT","active":true,"usgs":false}],"preferred":false,"id":764454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, Joshua","contributorId":216298,"corporation":false,"usgs":false,"family":"Jackson","given":"Joshua","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":764455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203690,"text":"70203690 - 2019 - Surrogate model development for coastal dune erosion under storm conditions","interactions":[],"lastModifiedDate":"2019-06-21T15:33:04","indexId":"70203690","displayToPublicDate":"2019-05-31T15:27:38","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Surrogate model development for coastal dune erosion under storm conditions","docAbstract":"Early coastal dune erosion predictions are essential to avoid potential flood consequences but most dune erosion numerical models are computationally expensive, hence their application in Early Warning Systems is limited. Here, based on a combination of optimally sampled synthetic sea storms with a calibrated and validated XBeach model, we develop a surrogate model capable of producing fast and accurate dune erosion predictions under storm conditions when water level and wave forecasts are available. The analysis is performed on Dauphin Island, AL, where we train Multiple Linear Regression Models with oceanographic forcing from the selected sea storms (i.e., XBeach input) and predicted changes in the dune system (i.e., XBeach output). Surrogate model performance is assessed with a rigorous k-fold cross validation. Although changes in the location of dune features are not well predicted, the model attains good performance when predicting changes in dune elevation, barrier-island width and volume.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 9th Coastal Sediments Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","doi":"10.1142/9789811204487_0116","usgsCitation":"Malagon-Santos, V., Wahl, T., Long, J.W., Passeri, D., and Plant, N.G., 2019, Surrogate model development for coastal dune erosion under storm conditions, in Proceedings of the 9th Coastal Sediments Conference, p. 1327-1339, https://doi.org/10.1142/9789811204487_0116.","productDescription":"13 p.","startPage":"1327","endPage":"1339","ipdsId":"IP-104933","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":364930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.3469009399414,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.22377177047543\n ],\n [\n -88.07464599609375,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.293164187062253\n ],\n [\n -88.3469009399414,\n 30.22377177047543\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagon-Santos, Victor","contributorId":216004,"corporation":false,"usgs":false,"family":"Malagon-Santos","given":"Victor","email":"","affiliations":[{"id":18879,"text":"University of Central Florida","active":true,"usgs":false}],"preferred":false,"id":763629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, Thomas","contributorId":141017,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":763630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, Joseph W","contributorId":216005,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":763632,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70206426,"text":"70206426 - 2019 - Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","interactions":[],"lastModifiedDate":"2019-11-04T11:49:31","indexId":"70206426","displayToPublicDate":"2019-05-31T11:48:36","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska","docAbstract":"The Cordilleran Ice sheet covered most of southeastern Alaska during the Last Glacial Interval (LGI: Marine Isotope Stage 2). Ice began to recede from western Alexander Archipelago ~17,000 + 700 yr BP. In this study pollen analysis and radiocarbon dating of three sediment cores were used to reconstruct, for the first time, the postglacial development of vegetation of the northwestern Alexander Archipelago during the past ~15,240 cal yr. Hummingbird Lake (HL), on southwestern Baranof Island, yielded a sediment core with one of the longest dated records from southeastern Alaska. The earliest part of the HL pollen record (~15,240-14,040 yr BP) indicates that the earliest vegetation was pine (Pinus contorta subsp. contorta) parkland with willows (Salix), heaths (Ericaceae), sedges (Cyperaceae), grasses (Poaceae), herbs and ferns. Starting at ~14,040 yr BP, alder (Alnus) rapidly colonized the area as pine populations declined. By 11,400 yr BP, Sitka spruce (Picea sitchensis) colonized the area, and soon became the dominant conifer. Mountain hemlock (Tsuga mertensiana) also colonized the area by ~11,400 yr BP, followed by western hemlock (Tsuga heterophylla) at ~10,200 yr BP. By ~9200 yr BP, western hemlock had become the dominant species in the area. During the late Holocene yellow cedar (Chamaecyparis nootkatensis) became established. Two marine sediment cores were also analyzed for pollen, with the oldest core from Lower Sitka Sound, between Kruzof and Baranof Islands. The lower part of the core consists of interlayered tephras and freshwater lake muds that are estimated to be ~13,150 to 14,000 yr BP. Pollen evidence indicates that the early postglacial vegetation around Sitka Sound was pine parkland with alders and abundant ferns. Damage to vegetation around Sitka Sound by volcanic eruptions is suggested by abrupt, large shifts in alder and pine pollen, and fern spores in samples adjacent to tephra layers. A marine sediment core from Slocum Arm, a fjord on the western coast of Chichagof Island, has a basal age of ~10,000 yr BP. The pollen record is similar to the Holocene pollen record at Hummingbird Lake. The sequence of vegetation changes interpreted from the three northwestern Alexander Archipelago pollen records are similar to those from other well-dated sites in southeastern Alaska, although chronologies differ between sites.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2019.00104","collaboration":"none","usgsCitation":"Ager, T.A., 2019, Late Quaternary vegetation development following deglaciation of northwestern Alexander Archipelago, Alaska: Frontiers in Earth Science, v. 7, p. 1-25, https://doi.org/10.3389/feart.2019.00104.","productDescription":"104, 25 p.","startPage":"1","endPage":"25","ipdsId":"IP-103102","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":460373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00104","text":"Publisher Index Page"},{"id":368923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368904,"type":{"id":15,"text":"Index Page"},"url":"https://www.frontiersin.org/articles/10.3389/feart.2019.00104/full"}],"country":"United States","state":"Alaska","otherGeospatial":"Western coastal areas of northwestern Alexander Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -140.09765625,\n 60.13056361691419\n ],\n [\n -140.9765625,\n 59.5343180010956\n ],\n [\n -133.4619140625,\n 54.1109429427243\n ],\n [\n -130.341796875,\n 55.32914440840507\n ],\n [\n -130.3857421875,\n 56.022948079627454\n ],\n [\n -132.5390625,\n 56.92099675839107\n ],\n [\n -132.626953125,\n 57.27904276497778\n ],\n [\n -134.912109375,\n 59.153403092050375\n ],\n [\n -135.615234375,\n 59.66774058164963\n ],\n [\n -137.197265625,\n 58.88194208135912\n ],\n [\n -137.76855468749997,\n 58.790978406215565\n ],\n [\n -139.3505859375,\n 60.28340847828243\n ],\n [\n -140.09765625,\n 60.13056361691419\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Ager, Thomas A. 0000-0002-5029-7581","orcid":"https://orcid.org/0000-0002-5029-7581","contributorId":220219,"corporation":false,"usgs":false,"family":"Ager","given":"Thomas","email":"","middleInitial":"A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":774506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70205810,"text":"70205810 - 2019 - Handbook to the partners in flight population estimates database, version 3.0","interactions":[],"lastModifiedDate":"2019-10-08T07:08:41","indexId":"70205810","displayToPublicDate":"2019-05-31T11:45:35","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5870,"text":"Partners in Flight Technical Publication","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"7","title":"Handbook to the partners in flight population estimates database, version 3.0","docAbstract":"This document describes the content of Version 3.0 of the Partners in Flight (PIF) Population Estimates Database, which provides population estimates for breeding USA/Canada landbirds at several geographic scales following the Partners in Flight approach described initially in Rich et al. (2004) and by Rosenberg and Blancher (2005) and most recently refined by Stanton et al. (2019). The Handbook also provides details about how the estimates were derived, information on limitations and caveats, a guide to using the estimates, and future desired directions for improving the estimates.\n\nThis version of the database is intended as a companion to the Partners in Flight Landbird Conservation Plan: 2016 Revision for Canada and Continental United States (Rosenberg et al. 2016), although estimates for most species included in the database have been updated from those used in the 2016 Plan. Most of the estimates in the database are based on North American Breeding Bird Survey (BBS) data for landbirds from the decade 2006–2015. The information in this 2019 Version of the Handbook, for Version 3.0 of the database, describes all changes that have been made to the database since 2007 (Version 1.0, cf. Blancher et al. 2007)—including the additions documented in the Handbook for Version 2.0 (Blancher et al. 2013)—and therefore serves as a single source document describing the current database.\n\nVersion 3.0 of the database addresses some of the recommendations suggested by Thogmartin et al. (2006) but does not yet fully address other limitations noted by Thogmartin et al. (2006), Blancher et al. (2007), Thogmartin (2010), Matsuoka et al. (2012), and Twedt (2015). By far, the most substantial change to the database comprises the incorporation of quantitative uncertainty bounds around population estimates for most species (see Stanton et al. 2019 for details). PIF Science anticipates that future versions of the database will occur in stages: first, improving elements of the basic PIF approach (e.g., incorporating more recent BBS data, updating Time of Day Adjustments, and refining Pair Adjustments); next, addressing additional concerns inherent in the PIF approach (e.g., replacing average maximum detection distance bins with research-derived species-specific effective detection radii); and later, perhaps replacing the sample-based PIF approach with a spatially-explicit, model-based (pixel-based) approach that more deliberately incorporates habitat and road biases and the proportion of birds available but not detected by current sampling methodology.\n\nThis current Version 3.1 of the Handbook updates citations in the Literature Cited and incorporates relatively minor improvements in text clarity over the previous 3.0 version. The content of the Population Estimates Database itself remains the same except for changes to the global and USA/Canada estimates for Northern Bobwhite and Black Vulture.","language":"English","publisher":"Partners in Flight and Bird Conservancy of the Rockies","usgsCitation":"Will, T., Stanton, J.C., Rosenberg, K.V., Panjabi, A.O., Camfield, A., Shaw, A., Thogmartin, W.E., and Blancher, P.J., 2019, Handbook to the partners in flight population estimates database, version 3.0: Partners in Flight Technical Publication 7, 38 p.","productDescription":"38 p.","ipdsId":"IP-106689","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":368039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368002,"type":{"id":15,"text":"Index Page"},"url":"https://pif.birdconservancy.org/PopEstimates/"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Will, Tom","contributorId":149777,"corporation":false,"usgs":false,"family":"Will","given":"Tom","email":"","affiliations":[{"id":17821,"text":"U.S. Fish and Wildlife Service, Division of Migratory Birds","active":true,"usgs":false}],"preferred":false,"id":772445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":772444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberg, Kenneth V.","contributorId":171463,"corporation":false,"usgs":false,"family":"Rosenberg","given":"Kenneth","email":"","middleInitial":"V.","affiliations":[{"id":27615,"text":"Cornell Lab of Ornithology, Conservation Science Program","active":true,"usgs":false}],"preferred":false,"id":772446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Panjabi, Arvind O.","contributorId":169967,"corporation":false,"usgs":false,"family":"Panjabi","given":"Arvind","email":"","middleInitial":"O.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Camfield, Alaine","contributorId":219517,"corporation":false,"usgs":false,"family":"Camfield","given":"Alaine","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":772448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, Allison","contributorId":219518,"corporation":false,"usgs":false,"family":"Shaw","given":"Allison","email":"","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":772449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":772450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blancher, Peter J.","contributorId":175182,"corporation":false,"usgs":false,"family":"Blancher","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":772451,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70205618,"text":"70205618 - 2019 - Using a GIS to populate 3D geocellular geologic models","interactions":[],"lastModifiedDate":"2019-09-27T11:25:58","indexId":"70205618","displayToPublicDate":"2019-05-31T11:25:48","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Using a GIS to populate 3D geocellular geologic models","docAbstract":"No abstract available
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geologic Mapping Forum 2019 Abstracts","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geologic Mapping Forum","conferenceDate":"April 10-12, 2019","conferenceLocation":"Minneapolis, MN","language":"English","publisher":"Minnesota Geological Survey","usgsCitation":"Sweetkind, D., and Cromwell, G., 2019, Using a GIS to populate 3D geocellular geologic models, in Geologic Mapping Forum 2019 Abstracts, Minneapolis, MN, April 10-12, 2019, p. 86-87.","productDescription":"2 p.","startPage":"86","endPage":"87","ipdsId":"IP-105944","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":367779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367772,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11299/202386"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":771884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":771885,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223409,"text":"70223409 - 2019 - Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","interactions":[],"lastModifiedDate":"2021-08-27T13:17:55.770407","indexId":"70223409","displayToPublicDate":"2019-05-31T10:54:45","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales","docAbstract":"Shoreline variability over timescales ranging from days to decades is examined at NASA-Kennedy Space Center on the Atlantic coast of Florida. Three sources of shoreline position data are utilized to complete this analysis: hourly video-image observations, monthly Real Time Kinematic GPS observations, and historical aerial imagery dating back to 1943. We find that shoreline positions tend to respond coherently to monthly variations in wave energy, except during storm-driven shoreline change. A seasonal signal in shoreline behavior is also evident, however this signal becomes indiscernible after a rapid change in morphologic behavior following Hurricane Sandy’s impact in October 2012. Further, the spatial pattern of shoreline change following Sandy’s impact mimics decadal-scale trends, suggesting that response to large storms may be controlling decadal shoreline change behavior at this site.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Conference on Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0194","usgsCitation":"Conlin, M.P., Adams, P., Plant, N., Jaeger, J., and Mackenzie, R., 2019, Daily to decadal variability of beach morphology at NASA-Kennedy Space Center: Storm influences across timescales, in Coastal sediments 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 2268-2281, https://doi.org/10.1142/9789811204487_0194.","productDescription":"14 p.","startPage":"2268","endPage":"2281","ipdsId":"IP-105374","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":388546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -440.9046936035156,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.396232711680433\n ],\n [\n -440.518798828125,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.843470765934224\n ],\n [\n -440.9046936035156,\n 28.396232711680433\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Conlin, Matthew P.","contributorId":239947,"corporation":false,"usgs":false,"family":"Conlin","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":821980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Peter N.","contributorId":264783,"corporation":false,"usgs":false,"family":"Adams","given":"Peter N.","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":821981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plant, Nathaniel 0000-0002-5703-5672","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":81234,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":821982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaeger, John M.","contributorId":264788,"corporation":false,"usgs":false,"family":"Jaeger","given":"John M.","affiliations":[{"id":54552,"text":"U. Floridaw","active":true,"usgs":false}],"preferred":false,"id":821983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackenzie, Richard","contributorId":264789,"corporation":false,"usgs":false,"family":"Mackenzie","given":"Richard","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":821984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203939,"text":"70203939 - 2019 - Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","interactions":[],"lastModifiedDate":"2019-06-25T10:49:47","indexId":"70203939","displayToPublicDate":"2019-05-31T10:49:40","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park","docAbstract":"We examined habitat use and foraging activity of the endangered Hawaiian hoary bat (Lasiurus cinereus semotus), as well as nocturnal aerial insect abundance at Kaloko-Honōkohau National Historical Park located in the coastal region of Kailua-Kona, Hawai‘i Island. We evaluated bat activity in two habitat types, wooded shorelines beside brackish water fishponds and xeric lava fields dominated by two invasive plant species: white leadwood (Leucaena leucocephala, Fabaceae), and fountain grass (Cenchrus setaceus, Poaceae). We recorded bat echolocation calls at seven acoustic stations that operated nightly from November 2013 through February 2015. Additionally, three UV light traps were used to collect insects at three locations from dusk to dawn in January, April, July and November 2014. Bat acoustic activity showed seasonal patterns in pulse counts, call-events, feeding buzzes and frequency of occurrence with three major peaks in bat echolocation activity in November–December 2013, April–May 2014, and August–December 2014. Overall, bat acoustic activity was greatest at the shoreline of Kaloko Fishpond. Although there were no significant differences in insect biomass among collection stations, Hawaiian hoary bats use the Park as an important foraging habitat.","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","usgsCitation":"Montoya-Aiona, K., Pinzari, C., and Bonaccorso, F.J., 2019, Hawaiian hoary bat (Lasiurus cinereus semotus) activity and prey availability at Kaloko-Honokohau National Historical Park, 32 p.","productDescription":"32 p.","ipdsId":"IP-107487","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":365006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364942,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/4598"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.03495597839355,\n 19.683323713331085\n ],\n [\n -156.0329818725586,\n 19.679686975321534\n ],\n [\n -156.03057861328125,\n 19.67847471097097\n ],\n [\n -156.02783203124997,\n 19.6770199816421\n ],\n [\n -156.02620124816895,\n 19.67289817681867\n ],\n [\n -156.02740287780762,\n 19.67095846727654\n ],\n [\n -156.02808952331543,\n 19.670392714238027\n ],\n [\n -156.02474212646484,\n 19.670796823755015\n ],\n [\n -156.0161590576172,\n 19.67225160957976\n ],\n [\n -156.02002143859863,\n 19.67960615798355\n ],\n [\n -156.02070808410645,\n 19.68469757064597\n ],\n [\n -156.02242469787598,\n 19.689869633655256\n ],\n [\n -156.02482795715332,\n 19.693344519658552\n ],\n [\n -156.03650093078613,\n 19.689950445814254\n ],\n [\n -156.03495597839355,\n 19.683323713331085\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":764849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pinzari, Corinna A. 0000-0001-9794-7564","orcid":"https://orcid.org/0000-0001-9794-7564","contributorId":208455,"corporation":false,"usgs":false,"family":"Pinzari","given":"Corinna A.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":764850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonaccorso, Frank J 0000-0002-5490-3083","orcid":"https://orcid.org/0000-0002-5490-3083","contributorId":216486,"corporation":false,"usgs":false,"family":"Bonaccorso","given":"Frank","email":"","middleInitial":"J","affiliations":[{"id":39456,"text":"USGS-PIERC (formerly)","active":true,"usgs":false}],"preferred":false,"id":764851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215493,"text":"70215493 - 2019 - Insights into pāhoehoe lava emplacement using visible and thermal structure-from-motion photogrammetry","interactions":[],"lastModifiedDate":"2020-10-21T15:51:11.366318","indexId":"70215493","displayToPublicDate":"2019-05-31T10:47:05","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Insights into pāhoehoe lava emplacement using visible and thermal structure-from-motion photogrammetry","docAbstract":"We present the evolution over 3 months of a 2016–2017 pāhoehoe flow at Kīlauea as it changed from a narrow sheet flow into a compound lava field fed by a stable system of tubes. The portion of the flow located on Kīlauea's coastal plain was characterized using helicopter‐based visible and thermal structure‐from‐motion photogrammetry to construct a series of georeferenced digital surface models and thermal maps on eight different days. Results reveal key influences on the emplacement and evolution of such long‐lived pāhoehoe flows. This region of the flow grew by ~12 × 106 m3 with a near‐constant time‐average discharge rate of 1.2–2.7 m3/s. The development of two tube systems is captured and shows an initial nascent tube enhanced by a narrow topographic confinement, which later inflated and created a topographic inversion that modulated the emplacement of a second flow lobe with its own tube system. The analysis of breakouts at various stages of the field's life suggests that the evolution of the thermal and morphological properties of the flow surface reflect its maturity. Thermal properties of breakouts were used to expand the empirical relationship of breakout cooling to longer timescales. This study contributes to the long‐term development and validation of more accurate predictive models for pāhoehoe, required during the management of long‐lasting lava flow crises in Hawai'i and elsewhere.
Satellite derived shorelines are extracted using the Google Earth Engine API for Landsat and Sentinel satellites from 1984 through 2018. These shorelines are evaluated against existing surveys and show satellite-derived breach shorelines are in good agreement with directly-observed shorelines and capture the trend of the Fire Island wilderness breach evolution. Results of this study show the wilderness breach resulted in down drift shoreline erosion at a rate greater than the historical average within 4 km of the breach. This study demonstrates the benefits of utilizing satellite observations for monitoring the full extent of breach development and resulting shoreline changes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Coastal Sediments 2019","conferenceDate":"May 27-31, 2019","conferenceLocation":"Tampa/St. Petersburg, FL","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0007","usgsCitation":"Nelson, T., and Miselis, J.L., 2019, Method for observing breach geomorphic evolution: Satellite observation of the Fire Island Wilderness breach, in Coastal Sediments 2019, Tampa/St. Petersburg, FL, May 27-31, 2019, p. 71-84, https://doi.org/10.1142/9789811204487_0007.","productDescription":"14 p.","startPage":"71","endPage":"84","ipdsId":"IP-105818","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island Wilderness breach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.88045704857345,\n 40.7386289733175\n ],\n [\n -72.9229595443374,\n 40.7386289733175\n ],\n [\n -72.9229595443374,\n 40.70933604608808\n ],\n [\n -72.88045704857345,\n 40.70933604608808\n ],\n [\n -72.88045704857345,\n 40.7386289733175\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelson, Timothy 0000-0002-5005-7617 trnelson@usgs.gov","orcid":"https://orcid.org/0000-0002-5005-7617","contributorId":191933,"corporation":false,"usgs":true,"family":"Nelson","given":"Timothy","email":"trnelson@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888679,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888680,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223766,"text":"70223766 - 2019 - Forest restoration, wildfire, and habitat selection by female mule deer","interactions":[],"lastModifiedDate":"2021-09-07T15:42:59.985176","indexId":"70223766","displayToPublicDate":"2019-05-31T10:32:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Forest restoration, wildfire, and habitat selection by female mule deer","docAbstract":"Decades of fire suppression, logging, and overgrazing have led to increased densities of small diameter trees which have been associated with decreases in biodiversity, reduced habitat quality for wildlife species, degraded foraging conditions for ungulates, and more frequent and severe wildfires. In response, land managers are implementing forest restoration treatments using prescribed fire and thinning to mitigate the risk of catastrophic wildfires and improve habitat conditions for a variety of wildlife species. We monitored habitat selection by female mule deer (Odocoileus hemionus) in relation to forest restoration treatments and wildfires in northern New Mexico in 2015. Our specific objectives were to assess changes in forage abundance and determine habitat selection patterns of mule deer in relation to recent wildfires, forest restoration treatments, including duration of the post-treatment recovery, and other habitat characteristics. Herbaceous forage biomass was greater in wildfire-burned areas than in untreated areas or those treated with prescribed burns or thinning. Oak forage biomass was greater in wildfire-burned areas compared to prescribed burns, forest thinning, and untreated areas. However, thinned areas tended to have higher oak forage biomass than untreated areas. Mule deer selected for areas burned by prescribed fire and generally avoided wildfire-burned and thinned areas <5 years old. Mule deer strongly selected for thinned areas ≥5 years old. At both the landscape and home-range scale, grasslands were avoided during most seasons, pinyon-juniper woodlands were selected in winter, and oak vegetation and mixed-conifer forests were selected during summer. Our data suggests that mule deer may benefit from recent prescribed burns and older forest thinning, but the duration of post-treatment vegetation recovery influences the strength and direction of selection. Knowledge of the short- and long-term effects of restoration treatments will provide managers with the means to make more informed decisions regarding implementation of forest restoration and other vegetation treatments intended to benefit mule deer.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2019.05.067","usgsCitation":"Roerick, T.M., Cain, J.W., and Gedir, J., 2019, Forest restoration, wildfire, and habitat selection by female mule deer: Forest Ecology and Management, v. 447, p. 169-179, https://doi.org/10.1016/j.foreco.2019.05.067.","productDescription":"11 p.","startPage":"169","endPage":"179","ipdsId":"IP-105337","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467576,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2019.05.067","text":"Publisher Index Page"},{"id":388880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.88873291015625,\n 35.575799570297406\n ],\n [\n -106.63192749023438,\n 35.575799570297406\n ],\n [\n -106.63192749023438,\n 35.94688293218141\n ],\n [\n -106.88873291015625,\n 35.94688293218141\n ],\n [\n -106.88873291015625,\n 35.575799570297406\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"447","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roerick, Tanya M.","contributorId":265344,"corporation":false,"usgs":false,"family":"Roerick","given":"Tanya","email":"","middleInitial":"M.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":822584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":822585,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gedir, J. V.","contributorId":265345,"corporation":false,"usgs":false,"family":"Gedir","given":"J. V.","affiliations":[{"id":27575,"text":"NMSU","active":true,"usgs":false}],"preferred":false,"id":822586,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228866,"text":"70228866 - 2019 - Evaluation of five pulicides to suppress fleas on black-tailed prairie dogs: Encouraging long-term results with systemic 0.005% fipronil","interactions":[],"lastModifiedDate":"2022-02-23T16:19:28.279668","indexId":"70228866","displayToPublicDate":"2019-05-31T10:12:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of five pulicides to suppress fleas on black-tailed prairie dogs: Encouraging long-term results with systemic 0.005% fipronil","docAbstract":"Plague, a flea-borne disease, hampers efforts to restore populations of black-footed ferrets (Mustela nigripes), which occupy colonies of prairie dogs (Cynomys spp.) in North America. Plague is managed by infusing prairie dog burrows with DeltaDust® 0.05% deltamethrin, a pulicide that kills fleas. Experiments are needed to identify pulicides that can be used in rotation with DeltaDust for integrated plague management. In South Dakota, USA, we tested the efficacy of four pulicide dusts when applied at a rate of 8 g per burrow on colonies of black-tailed prairie dogs (Cynomys ludovicianus): Sevin® 5% carbaryl; Dusta-cide® 6% malathion; Alpine® 0.25% dinotefuran with 95% diatomaceous earth; and Tri-Die® 1% pyrethrum with 40% amorphous silica and 10% piperonyl butoxide. We also tested systemic 0.005% fipronil, which was distributed as ½ cup of laced grain per burrow. We sampled prairie dogs on 3294 occasions and detected 10,041 fleas. Sevin and Dusta-cide suppressed fleas but only for 1 month. Neither Alpine nor Tri-Die had any noticeable, consistent effect on fleas. Fipronil suppressed fleas by 97–100% for 3 months. The residual effect of fipronil persisted for ∼12 months. Efficacy of fipronil seems comparable with DeltaDust, which exhibited a residual effect for ∼10 months in prior studies. Continued research is needed to optimize fipronil treatments for plague management on prairie dog colonies.
","language":"English","publisher":"Mary Ann Liebert Inc.","doi":"10.1089/vbz.2018.2339","usgsCitation":"Eads, D.A., Biggins, D.E., Broerman, K., Bowser, J., Livieri, T., Childers, E., Dobesh, P., and Griebel, R., 2019, Evaluation of five pulicides to suppress fleas on black-tailed prairie dogs: Encouraging long-term results with systemic 0.005% fipronil: Vector-Borne and Zoonotic Diseases, v. 19, p. 400-406, https://doi.org/10.1089/vbz.2018.2339.","productDescription":"7 p.","startPage":"400","endPage":"406","ipdsId":"IP-103574","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":437436,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MGGR4Q","text":"USGS data release","linkHelpText":"Data on the Efficacy of Five Pulicides as Tools for Suppressing Fleas on Black-tailed Prairie Dogs, South Dakota, 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Symposium on the application of geophysics to engineering and environmental problems proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems 2019","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.4133/sageep.32-031","usgsCitation":"Johnson, C., White, E.A., Werkema, D.D., Terry, N., Phillips, S.N., Ford, R., and Lane, J., 2019, Geophysical assessment of a proposed landfill site in Fredericktown, Missouri, in Symposium on the application of geophysics to engineering and environmental problems proceedings, p. 124-128, https://doi.org/10.4133/sageep.32-031.","productDescription":"5 p.","startPage":"124","endPage":"128","ipdsId":"IP-119905","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":460375,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7510955","text":"External Repository"},{"id":437438,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EL99BD","text":"USGS data release","linkHelpText":"Geophysical Data Collected for an Assessment of a Proposed Landfill Site in Fredericktown, Missouri, June 2018"},{"id":380976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Fredericktown","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.4669189453125,\n 37.45741810262938\n ],\n [\n -90.1593017578125,\n 37.45741810262938\n ],\n [\n -90.1593017578125,\n 37.67512527892127\n ],\n [\n -90.4669189453125,\n 37.67512527892127\n ],\n [\n -90.4669189453125,\n 37.45741810262938\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":806051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Eric A. 0000-0002-7782-146X eawhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7782-146X","contributorId":1737,"corporation":false,"usgs":false,"family":"White","given":"Eric","email":"eawhite@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":806055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":806052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":806053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, Stephanie N. 0000-0002-2022-7726","orcid":"https://orcid.org/0000-0002-2022-7726","contributorId":214857,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":806056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, Robert","contributorId":214858,"corporation":false,"usgs":false,"family":"Ford","given":"Robert","email":"","affiliations":[{"id":37063,"text":"U.S. Environmental Protection Agency, Cincinnati, OH","active":true,"usgs":false}],"preferred":false,"id":806057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":806058,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70217380,"text":"70217380 - 2019 - Signatures of adaptive divergence among populations of an avian species of conservation","interactions":[],"lastModifiedDate":"2021-01-20T14:32:15.730333","indexId":"70217380","displayToPublicDate":"2019-05-31T08:30:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Signatures of adaptive divergence among populations of an avian species of conservation","docAbstract":"Understanding the genetic underpinning of adaptive divergence among populations is a key goal of evolutionary biology and conservation. Gunnison sage‐grouse (Centrocercus minimus) is a sagebrush obligate species with a constricted range consisting of seven discrete populations, each with distinctly different habitat and climatic conditions. Though geographically close, populations have low levels of natural gene flow resulting in relatively high levels of differentiation. Here, we use 15,033 SNP loci in genomic outlier analyses, genotype–environment association analyses, and gene ontology enrichment tests to examine patterns of putatively adaptive genetic differentiation in an avian species of conservation concern. We found 411 loci within 5 kbp of 289 putative genes associated with biological functions or pathways that were overrepresented in the assemblage of outlier SNPs. The identified gene set was enriched for cytochrome P450 gene family members (CYP4V2, CYP2R1, CYP2C23B, CYP4B1) and could impact metabolism of plant secondary metabolites, a critical challenge for sagebrush obligates. Additionally, the gene set was also enriched with members potentially involved in antiviral response (DEAD box helicase gene family and SETX). Our results provide a first look at local adaption for isolated populations of a single species and suggest adaptive divergence in multiple metabolic and biochemical pathways may be occurring. This information can be useful in managing this species of conservation concern, for example, to identify unique populations to conserve, avoid translocation or release of individuals that may swamp locally adapted genetic diversity, or guide habitat restoration efforts.
Climate change is anticipated to exacerbate the extinction risk of species whose persistence is already compromised by habitat loss, invasive species, disease, or other stressors. In coastal areas of the southeastern United States (USA), many imperiled vertebrates are vulnerable to hurricanes, which climate models predict to become more severe in the 21st century. Despite this escalating threat, explicit adaptation strategies that address hurricane threats, in particular, and climate change more generally, are largely underrepresented in recovery planning and implementation. We provide a basis for stronger emphasis on strategic planning for imperiled species facing the increasing threat of catastrophic hurricanes. Our reasoning comes from observations of short‐term environmental and biological impacts of Hurricane Michael, which impacted the Gulf Coast of the southeastern USA in October 2018. During this storm, St. Marks National Wildlife Refuge, located along the northern Gulf of Mexico's coast in the panhandle region of Florida, received storm surge that was 3.0–3.6 m (NAVD88) above sea level. Storm surge pushed sea water into some ephemeral freshwater ponds used for breeding by the federally threatened frosted flatwoods salamander (Ambystoma cingulatum). After the storm, specific conductance across all ponds measured varied from 80 to 23,100 µS/cm, compared to 75 to 445 µS/cm in spring 2018. For 17 overwashed wetlands that were measured in both spring and fall 2018, posthurricane conductance observations were, on average, more than 90 times higher than in the previous spring, setting the stage for varying population responses across this coastal landscape. Importantly, we found live individual flatwoods salamanders at both overwashed and non‐overwashed sites, although we cannot yet assess the demographic consequences of this storm. We outline actions that could be incorporated into climate adaptation strategies and recovery planning for imperiled species, like A. cingulatum, that are associated with freshwater coastal wetlands in hurricane‐prone regions.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5277","usgsCitation":"Walls, S., Barichivich, W., Chandler, J., Meade, A.M., Milinichik, M., O'Donnell, K., Owens, M.E., Peacock, T., Reinman, J., Watling, R.C., and Wetsch, O.E., 2019, Seeking shelter from the storm: Conservation and management of imperiled species in a changing climate: Ecology and Evolution, v. 9, no. 12, p. 7122-7133, https://doi.org/10.1002/ece3.5277.","productDescription":"12 p.","startPage":"7122","endPage":"7133","ipdsId":"IP-104173","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467580,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5277","text":"Publisher Index Page"},{"id":437439,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V4A2GV","text":"USGS data release","linkHelpText":"Specific conductance of flatwood salamander breeding ponds: pre- and post-Hurricane Michael, 2013-2018"},{"id":364829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St Mark's National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.5013427734375,\n 29.897805610155874\n ],\n [\n -83.95889282226562,\n 29.897805610155874\n ],\n [\n -83.95889282226562,\n 30.18787014479982\n ],\n [\n -84.5013427734375,\n 30.18787014479982\n ],\n [\n -84.5013427734375,\n 29.897805610155874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","issue":"12","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":216362,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":764622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":216363,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":764623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Jonathan","contributorId":216364,"corporation":false,"usgs":false,"family":"Chandler","given":"Jonathan","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":764624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meade, Ashley M.","contributorId":216365,"corporation":false,"usgs":false,"family":"Meade","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":764625,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Milinichik, Marysa","contributorId":216366,"corporation":false,"usgs":false,"family":"Milinichik","given":"Marysa","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":764626,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O'Donnell, Katherine 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":216367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":764627,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Owens, Megan E. 0000-0002-6686-6873","orcid":"https://orcid.org/0000-0002-6686-6873","contributorId":216368,"corporation":false,"usgs":false,"family":"Owens","given":"Megan","email":"","middleInitial":"E.","affiliations":[{"id":39396,"text":"Conservation Legacy","active":true,"usgs":false}],"preferred":false,"id":764628,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Peacock, Terry","contributorId":187746,"corporation":false,"usgs":false,"family":"Peacock","given":"Terry","email":"","affiliations":[],"preferred":false,"id":764629,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reinman, Joseph","contributorId":187747,"corporation":false,"usgs":false,"family":"Reinman","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":764630,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watling, Rebecca C.","contributorId":216369,"corporation":false,"usgs":false,"family":"Watling","given":"Rebecca","email":"","middleInitial":"C.","affiliations":[{"id":39396,"text":"Conservation Legacy","active":true,"usgs":false}],"preferred":false,"id":764631,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wetsch, Olivia E.","contributorId":216370,"corporation":false,"usgs":false,"family":"Wetsch","given":"Olivia","email":"","middleInitial":"E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":764632,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70203762,"text":"70203762 - 2019 - Methane and nitrous oxide temporal and spatial variability in two midwestern USA streams containing high nitrate concentrations","interactions":[],"lastModifiedDate":"2019-06-11T10:02:10","indexId":"70203762","displayToPublicDate":"2019-05-30T09:51:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Methane and nitrous oxide temporal and spatial variability in two midwestern USA streams containing high nitrate concentrations","docAbstract":"Concentrations and emissions of greenhouse gases CO2, CH4, and N2O commonly are examined individually in aquatic environments in which each is expected to be relatively important; however, their co-occurrence and dynamic interactions in fluvial settings could provide important information about their controlling biogeochemical processes and potential contributions to global climate change. Spatial and temporal variability of CH4, N2O, and CO2 concentrations were measured from June 1999 to September 2003 in two nitrate-rich (40–1200 μM) streams draining agricultural land in the midwestern USA that differed ~13-fold in flow. Seasonal (biweekly), diel (hourly), and transport-oriented (reach-scale) sampling approaches were compared. Dissolved gas concentrations exceeded atmospheric equilibrium values up to 700- and 16-fold, for CH4 and N2O, respectively. Mean concentrations were higher in the larger stream than in the smaller stream. In both streams, CH4 emissions were generally higher in summer-fall and negatively correlated with flow and NO3− concentration while N2O emissions were generally higher in winter/spring and positively correlated with flow and NO3−. In the small stream, diel variations in the concentrations, emissions, and isotopic compositions of CH4, N2O, and NO2− resulted from diel variations in sources, sinks, and air-water gas exchange velocities. Seasonal mean total (CH4 + N2O) area-normalized emission rates, expressed as CO2 warming potential equivalents, were similar for the two streams, but the total reach-scale emission rate for the larger stream, including CO2, was about 2.9 times that of the smaller stream (131.6 vs 46.0 kg CO2 equivalents km−1 day−1, respectively). The CH4contribution to this flux was 9–28%, despite the relatively high NO3−and O2 concentrations in the streams, indicating contributions from upwelling groundwater or reactions in streambed sediment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.05.374","usgsCitation":"Smith, R.L., and Bohlke, J., 2019, Methane and nitrous oxide temporal and spatial variability in two midwestern USA streams containing high nitrate concentrations: Science of the Total Environment, v. 685, p. 574-588, https://doi.org/10.1016/j.scitotenv.2019.05.374.","productDescription":"15 p.","startPage":"574","endPage":"588","ipdsId":"IP-080054","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467581,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.05.374","text":"Publisher Index Page"},{"id":437440,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TH8KWZ","text":"USGS data release","linkHelpText":"Methane and nitrous oxide temporal and spatial concentrations in the Iroquois River and Sugar Creek in Northwestern Indiana and Northeastern Illinois, 1999-2003."},{"id":364586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana","otherGeospatial":"Iroquois River, Sugar Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.8961181640625,\n 40.46993497635156\n ],\n [\n -87.11334228515625,\n 40.46993497635156\n ],\n [\n -87.11334228515625,\n 40.89067715064627\n ],\n [\n -87.8961181640625,\n 40.89067715064627\n ],\n [\n -87.8961181640625,\n 40.46993497635156\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"685","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Richard L. 0000-0002-3829-0125 rlsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-3829-0125","contributorId":1592,"corporation":false,"usgs":true,"family":"Smith","given":"Richard","email":"rlsmith@usgs.gov","middleInitial":"L.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":764011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":764012,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251345,"text":"70251345 - 2019 - Variability in shelf sedimentation in response to fluvial sediment supply and coastal erosion over the past 1,000 years in Monterey Bay, CA, United States","interactions":[],"lastModifiedDate":"2024-02-07T00:55:28.857949","indexId":"70251345","displayToPublicDate":"2019-05-29T18:52:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Variability in shelf sedimentation in response to fluvial sediment supply and coastal erosion over the past 1,000 years in Monterey Bay, CA, United States","docAbstract":"Continental shelf environments are uniquely situated to capture some of the most dynamic processes on Earth including climatic variability and anthropogenic modifications to coastal systems. Understanding how these processes have affected sediment delivery and accumulation on the shelf in the past may provide insight into potential changes in the future. To address this, we investigated shelf sedimentation within Monterey Bay, California. Sediment cores were collected from four locations throughout the bay to capture both the modern and late Holocene sedimentological record using grain size analysis, and sediment chronologies determined from 210Pb, 137Cs, and 14C. From the grain size results we focused on the total percent sand, and established a Littoral Sand Fraction (LSF) index to assess sediment contribution from the littoral zone as a result coastal erosion. Grain size results from the multicores consistently showed an increase in sand over the past several decades (post 1970s). For the cores located within the bay proximal to three major rivers, the increase in sand corresponded to a general increase in the LSF over the same period. We attributed these trends to increased sediment contributions to the shelf due to accelerated coastal erosion in the region. This accelerated coastal erosion was likely the combined result of dam construction in the mid-twentieth century that limited fluvial supply to the coast, and a shift in climate toward wetter, stormier period. Applying these sediment characteristics back over the past ∼1,000 years we found that dry climatic periods resulted in deposits that were limited in total sand but enriched in littoral material suggesting elevated coastal erosion. During wet periods deposits were enriched in total sand but limited in littoral sand suggesting elevated fluvial supply and low erosion. Compared to the late Holocene record, the previous several decades represent a shift to a new regime, uncharacteristic of deposits over the past millennia, highlighting the impact humans have had on shelf sedimentation.
Recruitment of brown bear (Ursus arctos) offspring into a population is the product of initial cub production and subsequent survival and is a critical component of overall population status and trend. We investigated the relationship between maternal body size, body condition, and age (as a surrogate for gained experience) and recruitment of dependent offspring (≥1 yr old) in 4 Alaska, USA (2014–2017), brown bear populations using logistic regression. Body size alone was our top predictor of the presence of offspring and appeared in all top models. Our data suggest that bear size is the primary driver of productivity across all 4 study populations, with larger bears having a greater chance of being observed with offspring. The effect of body condition was likely confounded by the increased energetic costs of supporting cubs through time and had a negative relationship with recruitment. Age (experience) was positively related to recruitment. Understanding the relative importance of body size, body condition, and age on the recruitment of offspring provides insights into life-history trade-offs female bears must manage as they strive to meet the nutritional costs of cub production and rearing, while minimizing risks to themselves and their offspring. Further assessment of long-term longitudinal studies of brown bears that assess the lifetime reproductive output of individuals would be highly informative to further assess the effect of experience on recruitment and to support the management of brown bear populations for recovery, conservation, sustained yield, and ecosystem function.
","language":"English","publisher":"BioOne","doi":"10.2192/URSUS-D-18-00008.1","usgsCitation":"Hilderbrand, G., Gustine, D., Joly, K., Mangipane, B., Leacock, W., Cameron, M., Sorum, M., Mangipane, L., and Erlenbach, J., 2019, The influence of body size, condition, and age on recruitment of four Alaskan brown bear populations: Ursus, v. 2, no. 29, p. 111-118, https://doi.org/10.2192/URSUS-D-18-00008.1.","productDescription":"8 p.","startPage":"111","endPage":"118","ipdsId":"IP-081284","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2192/ursus-d-18-00008.1","text":"Publisher Index Page"},{"id":364525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Brooks Range, Gates of the Arctic National Park & Preserve, Katmai National Park & Preserve, Kodiak National Wildlife Refuge, Lake Clark National Park & Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.33496093749997,\n 55.99838095535963\n ],\n [\n -150.9521484375,\n 55.99838095535963\n ],\n [\n -150.9521484375,\n 62.67414334669093\n ],\n [\n -158.33496093749997,\n 62.67414334669093\n ],\n [\n -158.33496093749997,\n 55.99838095535963\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.13769531249997,\n 66.31986144668052\n ],\n [\n -147.3046875,\n 66.31986144668052\n ],\n [\n -147.3046875,\n 68.70448628851169\n ],\n [\n -156.13769531249997,\n 68.70448628851169\n ],\n [\n -156.13769531249997,\n 66.31986144668052\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","issue":"29","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":763923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gustine, David","contributorId":200449,"corporation":false,"usgs":false,"family":"Gustine","given":"David","affiliations":[],"preferred":false,"id":763924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":763925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mangipane, Buck","contributorId":211731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Buck","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":763926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leacock, William","contributorId":192123,"corporation":false,"usgs":false,"family":"Leacock","given":"William","affiliations":[],"preferred":false,"id":763927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cameron, Matthew","contributorId":204963,"corporation":false,"usgs":false,"family":"Cameron","given":"Matthew","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":763928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sorum, Mathew","contributorId":204962,"corporation":false,"usgs":false,"family":"Sorum","given":"Mathew","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":763929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mangipane, Lindsey","contributorId":201731,"corporation":false,"usgs":false,"family":"Mangipane","given":"Lindsey","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":763930,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":763931,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70204502,"text":"70204502 - 2019 - Characterizing seismogenic fault structures in Oklahoma using a relocated template matched catalog","interactions":[],"lastModifiedDate":"2019-07-29T13:25:38","indexId":"70204502","displayToPublicDate":"2019-05-29T13:18:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing seismogenic fault structures in Oklahoma using a relocated template matched catalog","docAbstract":"Oklahoma is one of the most seismically active places in the United States as a result of industry activities. In order to characterize the fault networks responsible for these earthquakes in Oklahoma, we relocated a large-scale template matching catalog between 2010-2016 using the GrowClust algorithm . This relocated catalog is currently the most complete statewide catalog for Oklahoma during this seven-year window. Using this relocated catalog, we identified seismogenic fault segments by developing an algorithm that clusters earthquakes and then identifies linear trends within each cluster. Considering the large number of earthquakes in Oklahoma, this algorithm made the process of identifying previously unmapped seismogenic faults more approachable and objective. We identify approximately 2500 seismogenic fault segments which are in general agreement with focal mechanisms and optimally oriented relative to maximum principle stress measurements. We demonstrate that these fault orientations can be used to approximate the maximum principle stress orientations.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190045","usgsCitation":"Skoumal, R., Kaven, J., and Water, J., 2019, Characterizing seismogenic fault structures in Oklahoma using a relocated template matched catalog: Seismological Research Letters, v. 90, no. 4, p. 1535-1543, https://doi.org/10.1785/0220190045.","productDescription":"9 p.","startPage":"1535","endPage":"1543","ipdsId":"IP-102133","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":366031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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has the potential to shift the spatial distributions of habitats more rapidly than species can adapt. Rapid sea level rise and associated saltwater intrusion have negative impacts on coastal environments, including loss of habitat for species such as sea turtles and shorebirds. In Florida’s largest wetland, the Everglades, the availability of small fishes that are prey for wading birds serve as an indicator of ecosystem health. In the southwestern part of the ecosystem, sea level rise and a reduction in freshwater flow have converted formerly freshwater marsh into an estuarine mangrove-dominated landscape. In this study, we sampled fish communities in this southwest portion of the Everglades exposed to a range of saline conditions. Biomass of native fishes was highest at a salinity value of approximately 25 parts per thousand, while non-native biomass decreased with increasing salinity. Applying salinity change scenarios, we determined that a 10% reduction from the salinity levels recorded in this study would be optimal for biomass of native fishes. The baseline data we collected on non-native fishes at the site will be useful for monitoring as restoration progresses and for managers working on invasive species control. This region has been actively undergoing ecosystem restoration for the last decade, but restored freshwater flow closer to historical conditions is still years away. Without increased freshwater inflow from hydrologic restoration, rising sea levels and saltwater intrusion may provide conservation challenges for wading birds and their prey-base fishes.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-019-00572-8","usgsCitation":"Romanach, S., Beerens, J.M., Patton, B., Chapman, J.P., and Hanson, M., 2019, Impacts of saltwater intrusion on wetland prey production and composition in a historically freshwater marsh: Estuaries and Coasts, v. 42, no. 6, p. 1600-1611, https://doi.org/10.1007/s12237-019-00572-8.","productDescription":"12 p.","startPage":"1600","endPage":"1611","ipdsId":"IP-088911","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":437441,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F73B5ZCD","text":"USGS data release","linkHelpText":"Fish data collected during 2015 and 2016 at 9 sites at the Ten Thousand Islands National Wildlife Refuge, Florida."},{"id":367221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.47186279296875,\n 25.109227976892218\n ],\n [\n -80.55038452148438,\n 25.109227976892218\n ],\n [\n -80.55038452148438,\n 25.88393659458397\n ],\n [\n -81.47186279296875,\n 25.88393659458397\n ],\n [\n -81.47186279296875,\n 25.109227976892218\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"6","noUsgsAuthors":false,"publicationDate":"2019-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":216117,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":770267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beerens, James M. 0000-0001-8143-916X jbeerens@usgs.gov","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":143722,"corporation":false,"usgs":true,"family":"Beerens","given":"James","email":"jbeerens@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":770268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":770269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Julia P. 0000-0002-7073-0012","orcid":"https://orcid.org/0000-0002-7073-0012","contributorId":218788,"corporation":false,"usgs":true,"family":"Chapman","given":"Julia","email":"","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":770270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Matt 0000-0002-2859-3878 mhanson@usgs.gov","orcid":"https://orcid.org/0000-0002-2859-3878","contributorId":208997,"corporation":false,"usgs":true,"family":"Hanson","given":"Matt","email":"mhanson@usgs.gov","affiliations":[],"preferred":true,"id":770271,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203531,"text":"sir20195035 - 2019 - Simulation of groundwater flow in the Brunswick Area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios","interactions":[],"lastModifiedDate":"2019-05-30T15:56:39","indexId":"sir20195035","displayToPublicDate":"2019-05-29T11:15:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-5035","displayTitle":"Simulation of Groundwater Flow in the Brunswick Area, Georgia, for 2004 and 2015, and Selected Groundwater-Management Scenarios","title":"Simulation of groundwater flow in the Brunswick Area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios","docAbstract":"The Upper Floridan aquifer (UFA) is the principal water source for industrial and public supply in Glynn County, Georgia. Wells in active pumping centers that tap the UFA for industries near the city of Brunswick have created an upward hydraulic-head gradient in the Floridan aquifer system, which has allowed high chloride (saline) groundwater from the Fernandina permeable zone of the Lower Floridan aquifer (LFA) to migrate upward into freshwater zones. Chloride concentrations of more than 250 milligrams per liter—the State and Federal secondary drinking-water standard—have been measured in a 2-square-mile area near downtown Brunswick.
An existing regional U.S. Geological Survey modular finite-difference groundwater-flow model (MODFLOW-2000) was modified using greater horizontal and vertical resolution to enable more detailed simulation of the effects of pumping in the vicinity of chloride contamination. Modifications to the regional model consisted of (1) limiting grid size to a maximum of 500 feet (ft) per side in the vicinity of the chloride plume; (2) representing the upper and lower Brunswick aquifers with distinct model layers; (3) similarly, representing upper and lower water-bearing zones of the UFA with distinct model layers in Glynn and Camden Counties, Ga.; and (4) establishing new hydraulic-property geographic zones in the UFA within Glynn County. The revised groundwater-flow model was calibrated to steady-state conditions that were assumed to exist during 2000 and 2004. The calibration and framework of the revised groundwater-flow model were documented in a separate report. For the current study, steady-state conditions were calibrated using October 2015 pumping rates in the Brunswick/Glynn County area as a 2015 Base Case. The 2015 Base Case simulation was used as the basis to evaluate seven groundwater-management scenarios in the Brunswick/Glynn County area.
Seven groundwater management-scenarios were developed on the basis of short- and long-term groundwater-use projections for the UFA in the Brunswick/Glynn County area. Scenarios A and B simulated additional pumping in the upper water-bearing zone (UWBZ) of the UFA at existing public-supply wells located near a chloride plume and planned public-supply wells to be constructed north of downtown Brunswick. Scenario C simulated a shutdown at Brunswick Cellulose Inc. and Pinova Inc. and the resulting deactivation of nine production wells, with a combined total pumping of 31.3 million gallons per day (Mgal/d) for the 2015 Base Case simulation. Scenario D (three scenarios) simulated 12.5, 25, and 50 percent (designated Scenarios D1, D2, and D3) of the total pumping of 31.3 Mgal/d at Brunswick Cellulose and Pinova. The objective of Scenario D was to determine pumping rates that may reverse groundwater-flow directions toward the Brunswick Cellulose well field and potentially allow groundwater with higher chloride concentration to migrate toward nearby public-supply wells. Scenario E simulated an additional pumping of 5 Mgal/d from the UWBZ of the UFA at a recently constructed production well within the Brunswick Cellulose well field.
Backward particle-tracking (MODPATH) analysis in public-supply wells located just outside the chloride plume to the north shows that predominant groundwater-flow directions are from the northeast toward the Brunswick Cellulose well field. The analysis covered 20- and 50-year periods for the 2015 Base Case and Scenario C simulations with 100 percent of backtracked particles remaining in the UWBZ and lower water-bearing zone of the UFA. Groundwater-flow directions are characterized by some vertical movement and dominant horizontal movement away from the chloride plume in the northern Brunswick area. For the 2015 Base Case simulation, the mean rate of particle movement ranged from 268 to 413 feet per year. For the Scenario C simulation, the mean rate of particle movement ranged from 89 to 182 feet per year with 50 percent of particles migrating from the chloride plume area. The rate of particle movement is influenced most by the horizontal hydraulic-head gradient in the UWBZ of the UFA.
The revised groundwater-flow model is subject to the limitations documented in the original model. In addition, the values used for the specified-head boundaries in the Floridan aquifer system for the 2004 calibrated model were based on the sparse data available and were not changed for the 2015 update to the model. These model boundaries control 80 percent of the inflows and about 60 percent of the outflows. Composite-scaled sensitivities of the model parameters indicate the revised model is most sensitive to pumping rates, followed by the horizontal hydraulic conductivity in the UFA for zones along coastal Georgia.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20195035","collaboration":"Prepared in cooperation with the Brunswick-Glynn County Joint Water and Sewer Commission and the Georgia Environmental Protection Division","usgsCitation":"Cherry, G.S., 2019, Simulation of groundwater flow in the Brunswick area, Georgia, for 2004 and 2015, and selected groundwater-management scenarios: U.S. Geological Survey Scientific Investigations Report 2019–5035, 70 p., https://doi.org/10.3133/sir20195035.","productDescription":"Report: vii, 70 p.; Data Release","numberOfPages":"82","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089920","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":364052,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5035/coverthb.jpg"},{"id":364054,"rank":3,"type":{"id":30,"text":"Data 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U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210