Director, Lower Mississippi Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211
Many stream channel infrastructure, habitat, and restoration projects are being undertaken on small streams throughout Arkansas by various Federal, State, and local agencies and by private organizations and businesses with limited data on local geomorphology and streamflow relations. Equations are needed that relate drainage area above stable stream reaches and the associated basin characteristics to bankfull streamflow and the associated channel dimensions. These equations, along with streambed material particle information, provide information that can improve stream channel projects. The U.S. Geological Survey and the Arkansas Natural Resources Commission in cooperation with the U.S. Army Corps of Engineers, Little Rock District, undertook a study to develop these equations for streams in the Ouachita Mountains of Arkansas.
Seventeen streamgages operated by the U.S. Geological Survey, located on streams in the Ouachita Mountains, were selected for analysis. Regional hydraulic geometry curves that express the mathematical relation between the bankfull channel dimensions (cross-sectional area, top width, mean depth, and streamflow) and the contributing drainage areas were developed. Streambed material measurements were collected to develop descriptive statistics of the streambed particle-size distributions and percentages of substrate type at each study site. Stream reaches at each study site were classified to the Rosgen level II stream type based on the average of stream channel metrics collected from site cross sections and profiles. Of the 17 selected Ouachita Mountain stream reaches, 6 were classified as B stream types, and 11 were classified as C stream types. The B stream types have infrequently spaced pools; very stable plan forms, profiles, and banks; and narrow, gently sloping valleys, where bank vegetation is a moderate component of stability. The C stream types are meandering, point bar, riffle-pool channels associated with broad valleys having well-defined flood plains and terraces composed of alluvial soils, where bank vegetation is typically a high component of stability.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1104","collaboration":"Prepared in cooperation with the Arkansas Natural Resources Commission and the U.S. Army Corps of Engineers, Little Rock District","usgsCitation":"Pugh, A.L., and Redman, R.K., 2019, Regional hydraulic geometry characteristics of stream channels in the Ouachita Mountains of Arkansas: U.S. Geological Survey Data Series 1104, 25 p., https://doi.org/10.3133/ds1104.","productDescription":"Report: v, 25 p.; Data Release","numberOfPages":"35","onlineOnly":"Y","ipdsId":"IP-076095","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364361,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1104/ds1104.pdf","text":"Report","size":"8.10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1104"},{"id":364362,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7BC3WNX","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Regional Hydraulic Geometry Characteristics of Stream Channels in the Ouachita Mountains of Arkansas"},{"id":364360,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1104/coverthb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Ouachita Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.350341796875,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 33.6420625047537\n ],\n [\n -93.306884765625,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 35.34425514918409\n ],\n [\n -95.350341796875,\n 33.6420625047537\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Ste 100
Nashville, TN 37211
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Geochemical data for more than 120,000 oil and natural gas wells from the major sedimentary basins in the USA are listed in the USGS National Produced Waters Geochemical Database [1]. In this summary, we report and discuss the geochemical data on produced waters obtained from published literature and the Colorado Oil and Gas Conservation Commission (COGCC) from close to 4,000 new oil and gas wells in Colorado. We emphasize geochemical data of produced waters from shale and tight reservoirs that have increased dramatically in Colorado since 2011, due to deep horizontal drilling, downhole telemetry and massive multi-stage hydraulic fracturing. These operations require large volumes of fresh water, but contamination of groundwater is the major environmental concern. Also, induced seismicity caused by water injection has been reported from several areas in Colorado, including Trinidad, Raton basin, and Greely, Denver basin. Produced water salinities in Colorado obtained from unconventional oil and gas wells are relatively low, generally less than 30,000 mg/L TDS. Produced water salinities from conventional oil and gas wells overlap those from unconventional wells, but many wells have higher salinities (up to 90,000 mg/L TDS) and different chemical compositions.
From 1997 to the present, the U.S. Geological Survey and other agencies have been collecting water samples for chemical analyses on Mount Emmons in central Colorado, USA. The geology of Mount Emmons is dominated by Upper Cretaceous to Paleogene sediments of marine to continental origin, with felsic intrusive rocks interrupting the sedimentary block. Extensive sulphide-rich alteration accompanied the intrusive events and forms an alteration halo in the sediments. Weathering of these sulphide minerals has led to numerous springs and seeps with a naturally low pH and high concentrations of metals, especially Fe and Zn. Superimposed on the natural geochemical signature are acid, metal-rich drainages from several mines and drill holes. Thus, streams on Mt. Emmons have a mix of natural and anthropogenic metal sources. Nearly 450 samples compose the database, with numerous sample locations replicated from the late 1990s to the present. Although there does not appear to be any temporal pattern in the data, consistent spatial variations are observed that allow us to characterize the natural and anthropogenic water sources.
Submarine canyons are conduits for episodic and powerful sediment density flows (commonly called turbidity currents) that move globally significant amounts of terrestrial sediment and organic carbon into the deep sea, forming some of the largest sedimentary deposits on Earth. The only record available for most turbidity currents is the deposit they leave behind. Therefore, to understand turbidity current processes, we need to determine the degree to which these flows are represented by their deposits. However, linking flows and deposits is a major long-standing scientific challenge. There are few detailed measurements from submarine turbidity currents in action, and even fewer direct measurements that can be compared to resulting seabed deposits. Recently, an extensive array of moorings along Monterey Canyon, offshore California, took measurements and samples during sediment density flow events, providing the most comprehensive dataset to date of turbidity current flows and their deposits. Here, we use sediment trap samples, velocity measurements, and seafloor cores to document how sand is transported through a submarine canyon, and how the transported sediment is represented in seafloor deposits. Sediment trap samples from events contain primarily fine to medium-grained sand with sharp bases, normal grading, and muddy tops. Sediment captured from the water column during the flow shows normal grading, which is broadly consistent with the initial peak and waning of flow velocities measured at a single height within the flow, and may be enhanced by collapsing flows. Flow events contain coarser sand concentrated toward the seafloor and larger grain sizes on the seafloor or in the dense near-bed layer, possibly representative of stratified flows. Although flow velocity varies, sand grain sizes in sediment traps are similar over distances of 50 km down-canyon, suggesting that grain size is an unfaithful record of down-canyon changes in maximum flow speeds. Sand transported within flow events and sampled in sediment traps is similar to sand sampled from the seafloor shortly after the events, but traps do not contain pebbles and gravel common in seabed deposits. Seabed deposits thus appear to faithfully record the sand component that is transported in the water column during sub-annual turbidity currents.
","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2019.00144","usgsCitation":"Maier, K.L., Gales, J., Paull, C.K., Rosenberger, K.J., Talling, P.J., Simmons, S., Gwiazda, R., McGann, M., Cartigny, M.J., Lundsten, E.M., Anderson, K., Clare, M., Xu, J., Parsons, D., Barry, J., Wolfson-Schwher, M., Nieminski, N.M., and Sumner, E., 2019, Linking direct measurements of turbidity currents to submarine canyon-floor deposits: Frontiers in Earth Science, v. 7, 144; 18 p., https://doi.org/10.3389/feart.2019.00144.","productDescription":"144; 18 p.","ipdsId":"IP-104483","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2019.00144","text":"Publisher Index Page"},{"id":364978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.2283935546875,\n 37.03325468997236\n ],\n [\n -122.398681640625,\n 37.02886944696474\n ],\n [\n -122.38494873046875,\n 36.47872381162464\n ],\n [\n -121.94000244140624,\n 36.48976535146369\n ],\n [\n -121.95648193359374,\n 36.52067329034796\n ],\n [\n -121.9317626953125,\n 36.527294814546245\n ],\n [\n -121.94549560546875,\n 36.56039393337068\n ],\n [\n -121.96197509765625,\n 36.558187766360675\n ],\n [\n -121.98394775390625,\n 36.58024660149866\n ],\n [\n -121.93450927734375,\n 36.63536611993544\n ],\n [\n -121.88507080078125,\n 36.6045040426166\n ],\n [\n -121.86309814453124,\n 36.608913667193676\n ],\n [\n -121.827392578125,\n 36.65079252503471\n ],\n [\n -121.8109130859375,\n 36.71026542647845\n ],\n [\n -121.79168701171875,\n 36.80708566272707\n ],\n [\n -121.87683105468749,\n 36.94550173495345\n ],\n [\n -121.93450927734375,\n 36.97183825093165\n ],\n [\n -121.9757080078125,\n 36.954281585675965\n ],\n [\n -122.01141357421875,\n 36.96306042436515\n ],\n [\n -122.03887939453125,\n 36.94550173495345\n ],\n [\n -122.11029052734374,\n 36.94989178681327\n ],\n [\n -122.2283935546875,\n 37.03325468997236\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Maier, Katherine L. 0000-0003-2908-3340","orcid":"https://orcid.org/0000-0003-2908-3340","contributorId":206421,"corporation":false,"usgs":false,"family":"Maier","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":764903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gales, Jenny","contributorId":216506,"corporation":false,"usgs":false,"family":"Gales","given":"Jenny","email":"","affiliations":[{"id":39461,"text":"University of Plymouth, UK","active":true,"usgs":false}],"preferred":false,"id":764904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":764905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":764902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Talling, Peter J.","contributorId":195515,"corporation":false,"usgs":false,"family":"Talling","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":764906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simmons, Stephen","contributorId":216507,"corporation":false,"usgs":false,"family":"Simmons","given":"Stephen","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":764907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gwiazda, Roberto","contributorId":147193,"corporation":false,"usgs":false,"family":"Gwiazda","given":"Roberto","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764908,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":764909,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cartigny, Matthieu J.B.","contributorId":195513,"corporation":false,"usgs":false,"family":"Cartigny","given":"Matthieu","email":"","middleInitial":"J.B.","affiliations":[],"preferred":false,"id":764910,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lundsten, Eve M.","contributorId":147191,"corporation":false,"usgs":false,"family":"Lundsten","given":"Eve","email":"","middleInitial":"M.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764911,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Anderson, Krystle","contributorId":147192,"corporation":false,"usgs":false,"family":"Anderson","given":"Krystle","email":"","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764912,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Clare, Michael","contributorId":213585,"corporation":false,"usgs":false,"family":"Clare","given":"Michael","email":"","affiliations":[{"id":38805,"text":"National Oceanography Centre, University of Southampton Waterfront Campus, European Way, Southampton, SO14 3ZH, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":764913,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Xu, Jingping","contributorId":195514,"corporation":false,"usgs":false,"family":"Xu","given":"Jingping","affiliations":[],"preferred":false,"id":764914,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parsons, Daniel","contributorId":216508,"corporation":false,"usgs":false,"family":"Parsons","given":"Daniel","affiliations":[{"id":39462,"text":"University of Hull, UK","active":true,"usgs":false}],"preferred":false,"id":764915,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Barry, James P.","contributorId":140935,"corporation":false,"usgs":false,"family":"Barry","given":"James P.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764916,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wolfson-Schwher, Monica","contributorId":216509,"corporation":false,"usgs":false,"family":"Wolfson-Schwher","given":"Monica","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":764917,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nieminski, Nora M.","contributorId":216510,"corporation":false,"usgs":false,"family":"Nieminski","given":"Nora","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":764918,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sumner, Esther J.","contributorId":147189,"corporation":false,"usgs":false,"family":"Sumner","given":"Esther J.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":false,"id":764919,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70203724,"text":"70203724 - 2019 - Viable long-term gas hydrate testing site confirmed on the Alaska north slope","interactions":[],"lastModifiedDate":"2019-06-07T16:30:36","indexId":"70203724","displayToPublicDate":"2019-06-06T15:37:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1641,"text":"Fire in the Ice: NETL Methane Hydrate Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Viable long-term gas hydrate testing site confirmed on the Alaska north slope","docAbstract":"In December 2018, data acquired in a Stratigraphic Test Well drilled from the 7-11-12 pad in the western part of the Prudhoe Bay Unit, Alaska North Slope confirmed the occurrence of two high-quality reservoirs fully saturated with gas hydrate. The drilling was the initial phase of a planned, three-well program designed to conduct an extended duration test of the response to gas hydrate reservoirs to controlled depressurization. The Stratigraphic Test Well (formally “PBU Hydrate-01”) was operated by the PBU Operator BP Exploration, (Alaska), Inc. (BPXA) using the Parker 272 drilling rig (Figure 1) through a Drilling Services Agreement executed with Petrotechnical Resources of Alaska (PRA) in association with a contract between NETL and PRA. The science program executed by BPXA was developed over a two-year period through extensive discussions and scientific evaluation undertaken by NETL, the Japan, Oil, Gas, and Metals, National Corporation (JOGMEC), the U.S. Geological Survey (USGS), and PRA. The effort also benefitted greatly from the support of the Alaska Department of Natural Resources (ADNR) and the PBU Working Interest Owners (WIOs).
","language":"English","publisher":"Department of Energy","usgsCitation":"Boswell, R., Marsteller, S., Nori Okinaka, Wakatsuki, M., Collett, T.S., Hunter, R., Tom Walsh, David Itter, and Crumley, S., 2019, Viable long-term gas hydrate testing site confirmed on the Alaska north slope: Fire in the Ice: NETL Methane Hydrate Newsletter, v. 19, no. 1, p. 1-5.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-106571","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":364480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364463,"type":{"id":15,"text":"Index Page"},"url":"https://www.netl.doe.gov/sites/default/files/publication/MHNews_2019_Spring.pdf"}],"country":"United States","state":"Alaska","otherGeospatial":"Prudhoe Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152.55615234375,\n 69.31055846850984\n ],\n [\n -148.82080078125,\n 69.31055846850984\n ],\n [\n -148.82080078125,\n 71.05266461121374\n ],\n [\n -152.55615234375,\n 71.05266461121374\n ],\n [\n -152.55615234375,\n 69.31055846850984\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":173139,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","email":"","affiliations":[{"id":17887,"text":"National Energy Technology Laboratory, Department of Energy","active":true,"usgs":false}],"preferred":false,"id":763825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsteller, Scott","contributorId":216073,"corporation":false,"usgs":false,"family":"Marsteller","given":"Scott","email":"","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":763826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nori Okinaka","contributorId":216074,"corporation":false,"usgs":false,"family":"Nori Okinaka","affiliations":[{"id":39359,"text":"JOGMEC","active":true,"usgs":false}],"preferred":false,"id":763827,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wakatsuki, Motoi","contributorId":216075,"corporation":false,"usgs":false,"family":"Wakatsuki","given":"Motoi","email":"","affiliations":[{"id":39359,"text":"JOGMEC","active":true,"usgs":false}],"preferred":false,"id":763828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, Robert","contributorId":216076,"corporation":false,"usgs":false,"family":"Hunter","given":"Robert","email":"","affiliations":[{"id":39360,"text":"PRA","active":true,"usgs":false}],"preferred":false,"id":763829,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tom Walsh","contributorId":216077,"corporation":false,"usgs":false,"family":"Tom Walsh","affiliations":[{"id":39360,"text":"PRA","active":true,"usgs":false}],"preferred":false,"id":763830,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"David Itter","contributorId":216078,"corporation":false,"usgs":false,"family":"David Itter","affiliations":[{"id":39361,"text":"BP Alaska","active":true,"usgs":false}],"preferred":false,"id":763831,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crumley, Stephen","contributorId":216079,"corporation":false,"usgs":false,"family":"Crumley","given":"Stephen","email":"","affiliations":[{"id":39361,"text":"BP Alaska","active":true,"usgs":false}],"preferred":false,"id":763832,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203721,"text":"70203721 - 2019 - Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","interactions":[],"lastModifiedDate":"2019-06-18T12:21:17","indexId":"70203721","displayToPublicDate":"2019-06-06T15:14:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program","docAbstract":"Dynamic occupancy models provide a flexible framework for estimating and mapping species occupancy patterns\nover space and time for large-scale monitoring programs (e.g., the North American Bat Monitoring Program\n(NABat), the Amphibian Research and Monitoring Initiative). Challenges for designing surveys using the dynamic\noccupancy modeling framework include defining appropriate derived trend parameters, and providing\nusable tools for researchers to conduct project-specific sample size investigations. We present a simulation-based\npower analysis framework for dynamic occupancy models that allows for the incorporation of the underlying\nenvironmental space (i.e., as covariates) within a specific study region to inform sample size estimation. We\ninvestigate two definitions of temporal trend: (1) a gradual, sustained (linear or nonlinear) change over a period\nof many years, and (2) an abrupt increase or decrease between two time periods. We draw upon pilot data\ncollected following NABat protocols to inform assumed data generating values in a demonstration of our approach.\nDue to the complicated parameter structure of dynamic occupancy models, we emphasize the importance\nof visualizing simulated changes over time based on different parameter settings prior to conducting a\npower analysis. Our simulations revealed that the linearity of short-term trends (five years in our investigation)\nconferred higher power with lower sample size than longer trends where occupancy probabilities approached\nzero (ten years in our investigation). We provide an example of how to use our tools to conduct customized\ninvestigations using questions posed by NABat, and in doing so, we shed light on general guidelines that can be\napplied to programs monitoring species occupancy for other taxa. Importantly, we created an R package to\nexecute our approach for informing program-, species-, and study-specific investigations aimed at identifying\nchanges in species occupancy.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.05.047","usgsCitation":"Banner, K., Irvine, K., Rodhouse, T.J., Donner, D.M., and Litt, A.R., 2019, Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program: Ecological Indicators, v. 105, p. 166-176, https://doi.org/10.1016/j.ecolind.2019.05.047.","productDescription":"11 p.","startPage":"166","endPage":"176","ipdsId":"IP-103005","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":460363,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zotero.org/groups/5435545/items/2EKFYEYQ","text":"Publisher Index Page"},{"id":437428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WHOH6D","text":"USGS data release","linkHelpText":"Online supporting information for "Statistical power of dynamic occupancy models to identify temporal change: informing the North American Bat Monitoring Program""},{"id":364476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Banner, Katherine","contributorId":216067,"corporation":false,"usgs":false,"family":"Banner","given":"Katherine","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":214591,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":763806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Tom J","contributorId":176228,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Tom","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":763808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donner, Deahn M.","contributorId":171823,"corporation":false,"usgs":false,"family":"Donner","given":"Deahn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":763809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Litt, Andrea R.","contributorId":208358,"corporation":false,"usgs":false,"family":"Litt","given":"Andrea","email":"","middleInitial":"R.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":763810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204697,"text":"70204697 - 2019 - Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","interactions":[],"lastModifiedDate":"2019-08-09T12:10:34","indexId":"70204697","displayToPublicDate":"2019-06-06T12:02:38","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":"Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010","docAbstract":"Domestic wells provide drinking water supply for approximately 40 million people in the United States. Knowing the location of these wells, and the populations they serve, is important for identifying heavily used aquifers, locations susceptible to contamination, and populations potentially impacted by poor-quality groundwater. The 1990 census was the last nationally consistent survey of a home’s source of water, and has not been surveyed since. This paper presents a method for projecting the population dependent on domestic wells for years after 1990, using information from the 1990 census along with population data from subsequent censuses. The method is based on the “domestic ratio” at the census block-group level, defined here as the number of households dependent on domestic wells divided by the total population. Analysis of 1990 data (>220,000 block-groups) indicates that the domestic ratio is a function of the household density. As household density increases, the domestic ratio decreases, once a household density threshold is met. The 1990 data were used to develop a relationship between household density and the domestic ratio. The fitted model, along with household density data from 2000 and 2010, was used to estimate domestic ratios for each decadal year. In turn, the number of households dependent on domestic wells was estimated at the block-group level for 2000 and 2010. High-resolution census-block population data were used to refine the spatial distribution of domestic-well usage and to convert the data into population numbers. The results are presented in two downloadable raster datasets for each decadal year. It is estimated that the total population using domestic-well water in the contiguous U.S. increased 1.5% from 1990 to 2000 to a total of 37.25 million people and increased slightly from 2000 to 2010 to 37.29 million people.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.06.036","usgsCitation":"Johnson, T., Belitz, K., and Lombard, M.A., 2019, Estimating domestic well locations and populations served in the contiguous U.S. for years 2000 and 2010: Science of the Total Environment, v. 687, p. 1261-1273, https://doi.org/10.1016/j.scitotenv.2019.06.036.","productDescription":"13 p.","startPage":"1261","endPage":"1273","ipdsId":"IP-101767","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467555,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.06.036","text":"Publisher Index Page"},{"id":437429,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FSLU3B","text":"USGS data release","linkHelpText":"Domestic well locations and populations served in the contiguous U.S.: datasets for decadal years 2000 and 2010"},{"id":366443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"687","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":768105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":201889,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":768107,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250179,"text":"70250179 - 2019 - The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage","interactions":[],"lastModifiedDate":"2023-11-27T16:53:33.19877","indexId":"70250179","displayToPublicDate":"2019-06-06T10:46:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage","docAbstract":"Over the last half century, climate change, coral disease, and other anthropogenic disturbances have restructured coral-reef ecosystems on a global scale. The disproportionate loss of once-dominant, reef-building taxa has facilitated relative increases in the abundance of “weedy” or stress-tolerant coral species. Although the recent transformation of coral-reef assemblages is unprecedented on ecological timescales, determining whether modern coral reefs have truly reached a novel ecosystem state requires evaluating the dynamics of reef composition over much longer periods of time. Here, we provide a geologic perspective on the shifting composition of Florida's reefs by reconstructing the millennial-scale spatial and temporal variability in reef assemblages using 59 Holocene reef cores collected throughout the Florida Keys Reef Tract (FKRT). We then compare the relative abundances of reef-building species in the Holocene reef framework to data from contemporary reef surveys to determine how much Florida's modern reef assemblages have diverged from long-term baselines. We show that the composition of Florida's reefs was, until recently, remarkably stable over the last 8000 yr. The same corals that have dominated shallow-water reefs throughout the western Atlantic for hundreds of thousands of years, Acropora palmata, Orbicella spp., and other massive coral taxa, accounted for nearly 90% of Florida's Holocene reef framework. In contrast, the species that now have the highest relative abundances on the FKRT, primarily Porites astreoides and Siderastrea siderea, were rare in the reef framework, suggesting that recent shifts in species assemblages are unprecedented over millennial timescales. Although it may not be possible to return coral reefs to pre-Anthropocene states, our results suggest that coral-reef management focused on the conservation and restoration of the reef-building species of the past, will optimize efforts to preserve coral reefs, and the valuable ecosystem services they provide into the future.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2781","usgsCitation":"Toth, L., Stathakopoulos, A., Kuffner, I.B., Ruzicka, R.R., Colella, M.A., and Shinn, E.A., 2019, The unprecedented loss of Florida's reef-building corals and the emergence of a novel coral-reef assemblage: Ecology, v. 100, no. 9, e02781, 14 p., https://doi.org/10.1002/ecy.2781.","productDescription":"e02781, 14 p.","ipdsId":"IP-104540","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467556,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2781","text":"Publisher Index Page"},{"id":437430,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93XXXA0","text":"USGS data release","linkHelpText":"The Absolute and Relative Composition of Holocene Reef Cores From the Florida Keys Reef Tract"},{"id":422972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.52594320175321,\n 24.764514561822665\n ],\n [\n -83.03873267817458,\n 24.764514561822665\n ],\n [\n -83.08197998341461,\n 24.427458630027616\n ],\n [\n -81.47565150305881,\n 24.41058205242757\n ],\n [\n -80.33268700742039,\n 24.92709848702593\n ],\n [\n -80.06702498951552,\n 25.525116607289604\n ],\n [\n -80.25854876986541,\n 25.53069165144869\n ],\n [\n -80.598349025326,\n 25.03910062993201\n ],\n [\n -81.3644441467264,\n 24.826209468694913\n ],\n [\n -82.52594320175321,\n 24.764514561822665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"100","issue":"9","noUsgsAuthors":false,"publicationDate":"2019-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruzicka, Robert R.","contributorId":204569,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888684,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colella, Michael A.","contributorId":139979,"corporation":false,"usgs":false,"family":"Colella","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13340,"text":"Fish & Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":888685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shinn, Eugene A.","contributorId":210858,"corporation":false,"usgs":false,"family":"Shinn","given":"Eugene","email":"","middleInitial":"A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":888686,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70200969,"text":"fs20183069 - 2019 - Water Resources of West Carroll Parish, Louisiana","interactions":[],"lastModifiedDate":"2019-07-22T07:58:16","indexId":"fs20183069","displayToPublicDate":"2019-06-06T07:59:57","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-3069","displayTitle":"Water Resources of West Carroll Parish, Louisiana","title":"Water Resources of West Carroll Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in West Carroll Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 21.27 million gallons per day (Mgal/d) of water were withdrawn in West Carroll Parish, including 17.91 Mgal/d from groundwater sources and 3.37 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, and livestock, accounted for 93 percent (19.76 Mgal/d) of the total water withdrawn. Other use categories included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2000 at 31.7 Mgal/d. The large decreases in water use from 1985 to 1990 and again from 2005 to 2010 are primarily attributable to declines in groundwater withdrawals for rice irrigation from 10 Mgal/d in 1985 to 2.22 Mgal/d in 1990 and from 10.52 Mgal/d in 2005 to 5.14 Mgal/d in 2010. Surface-water withdrawals for general irrigation declined from 2.44 Mgal/d in 1985 to 0.42 Mgal/d in 1990 and from 2.2 Mgal/d in 2005 to 1.1 Mgal/d in 2010. Surface-water withdrawals for rice irrigation declined from 1.41 Mgal/d in 1985 to 0.66 Mgal/d in 1990 and from 2.06 Mgal/d in 2005 to 1.01 Mgal/d in 2010.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183069","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of West Carroll Parish, Louisiana: U.S. Geological Survey Fact Sheet 2018–3069, 6 p., https://doi.org/10.3133/fs20183069.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081704","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":362840,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":362839,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3069/fs20183069.pdf","text":"Report","size":"907 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3069"},{"id":362838,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3069/coverthb2.jpg"}],"country":"United States","state":"Louisiana ","county":"West Carroll County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.2605,33.005],[-91.2627,33.0009],[-91.2644,32.9918],[-91.2715,32.9896],[-91.2742,32.9859],[-91.2683,32.9773],[-91.2699,32.9732],[-91.2748,32.9755],[-91.2792,32.9759],[-91.2765,32.9609],[-91.2771,32.9545],[-91.2831,32.9504],[-91.2869,32.9505],[-91.2929,32.9491],[-91.3006,32.9482],[-91.3061,32.9414],[-91.3105,32.9359],[-91.3072,32.9318],[-91.3056,32.9305],[-91.3028,32.925],[-91.3138,32.9136],[-91.3149,32.9082],[-91.3155,32.9022],[-91.3138,32.8977],[-91.3106,32.8827],[-91.3133,32.8808],[-91.3161,32.8749],[-91.3155,32.8695],[-91.3205,32.8649],[-91.3232,32.8654],[-91.3254,32.8713],[-91.3303,32.8722],[-91.3347,32.8658],[-91.3396,32.8622],[-91.3418,32.8545],[-91.344,32.8454],[-91.3473,32.8395],[-91.3489,32.824],[-91.3413,32.8217],[-91.3419,32.8135],[-91.3435,32.8089],[-91.3424,32.8017],[-91.3425,32.7944],[-91.3425,32.7835],[-91.3447,32.7771],[-91.3474,32.763],[-91.3463,32.7602],[-91.3458,32.7561],[-91.3458,32.7502],[-91.3491,32.747],[-91.3534,32.7439],[-91.3584,32.7402],[-91.3616,32.7343],[-91.3677,32.7243],[-91.3726,32.7179],[-91.3753,32.7134],[-91.3753,32.7097],[-91.3764,32.7047],[-91.3775,32.6997],[-91.3748,32.6974],[-91.3737,32.692],[-91.3764,32.6888],[-91.383,32.6888],[-91.3873,32.6902],[-91.3922,32.6929],[-91.3977,32.6938],[-91.4004,32.6893],[-91.401,32.6815],[-91.4026,32.672],[-91.4021,32.6647],[-91.4015,32.6587],[-91.395,32.6565],[-91.395,32.6451],[-91.401,32.6423],[-91.4037,32.6369],[-91.3999,32.6337],[-91.4005,32.631],[-91.4016,32.6301],[-91.4054,32.6264],[-91.4048,32.6178],[-91.4021,32.615],[-91.3961,32.6146],[-91.3951,32.6118],[-91.4016,32.6059],[-91.4098,32.6032],[-91.4158,32.6036],[-91.419,32.6005],[-91.4277,32.5996],[-91.4326,32.5927],[-91.443,32.5868],[-91.4457,32.5818],[-91.4686,32.5823],[-91.5812,32.5822],[-91.5964,32.5822],[-91.597,32.6332],[-91.5976,32.6688],[-91.639,32.6696],[-91.633,32.6724],[-91.6298,32.6774],[-91.6249,32.6824],[-91.6249,32.686],[-91.6227,32.692],[-91.6271,32.6956],[-91.6287,32.6992],[-91.6326,32.7024],[-91.6347,32.7029],[-91.6375,32.7033],[-91.638,32.7061],[-91.6375,32.7124],[-91.6348,32.7161],[-91.6326,32.7197],[-91.6293,32.7211],[-91.6244,32.7216],[-91.619,32.7289],[-91.6173,32.7316],[-91.6157,32.733],[-91.613,32.7352],[-91.6141,32.7384],[-91.6119,32.7412],[-91.6081,32.7421],[-91.6043,32.7434],[-91.6015,32.7448],[-91.5988,32.7521],[-91.5956,32.758],[-91.5961,32.7644],[-91.5972,32.7685],[-91.5994,32.773],[-91.6038,32.7817],[-91.6054,32.7858],[-91.5994,32.7922],[-91.5912,32.7976],[-91.5907,32.8027],[-91.5929,32.8072],[-91.5885,32.8122],[-91.5847,32.8172],[-91.5804,32.8204],[-91.5765,32.8222],[-91.576,32.8245],[-91.5782,32.83],[-91.5782,32.8332],[-91.5776,32.835],[-91.5711,32.8496],[-91.5646,32.8564],[-91.5613,32.8591],[-91.5564,32.8646],[-91.5498,32.8664],[-91.5476,32.8705],[-91.546,32.8737],[-91.5422,32.8773],[-91.5367,32.8769],[-91.5312,32.8778],[-91.5269,32.8764],[-91.5192,32.876],[-91.511,32.881],[-91.5056,32.8842],[-91.5039,32.886],[-91.5029,32.8887],[-91.4996,32.8896],[-91.4952,32.8937],[-91.4974,32.8997],[-91.4974,32.9079],[-91.493,32.9097],[-91.4881,32.9124],[-91.4886,32.917],[-91.4865,32.9202],[-91.4837,32.9229],[-91.4799,32.9247],[-91.4766,32.9302],[-91.4799,32.9343],[-91.4777,32.9402],[-91.4739,32.9425],[-91.4733,32.947],[-91.4651,32.9506],[-91.4602,32.9634],[-91.4586,32.9661],[-91.4531,32.9679],[-91.4487,32.9707],[-91.4432,32.9739],[-91.4411,32.9775],[-91.4389,32.9811],[-91.44,32.9857],[-91.4394,32.9934],[-91.4383,32.9962],[-91.4378,33.0003],[-91.4378,33.0058],[-91.4361,33.0057],[-91.2605,33.005]]]},\"properties\":{\"name\":\"West Carroll\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Information concerning the availability, use, and quality of water in Morehouse Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 109.84 million gallons per day (Mgal/d) of water were withdrawn in Morehouse Parish: 78.05 Mgal/d from groundwater sources and 31.79 Mgal/d from surface-water sources. Withdrawals for agricultural use—including general irrigation, rice irrigation, and livestock—accounted for about 97 percent (106.29 Mgal/d) of the total water withdrawn. Other categories of use included public supply, rural domestic, and industrial. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1975 at 167.82 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183068","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Morehouse Parish, Louisiana: U.S. Geological Survey Fact Sheet 2018–3068, 6 p., https://doi.org/10.3133/fs20183068. ","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-081705","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":362723,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3068/fs20183068.pdf","text":"Report","size":"0.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018–3068"},{"id":362724,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":362722,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3068/coverthb2.jpg"}],"country":"United States","state":"Louisiana","county":"Morehouse County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.4607,33.0059],[-91.4378,33.0058],[-91.4378,33.0003],[-91.4383,32.9962],[-91.4394,32.9934],[-91.44,32.9857],[-91.4389,32.9811],[-91.4411,32.9775],[-91.4432,32.9739],[-91.4487,32.9707],[-91.4531,32.9679],[-91.4586,32.9661],[-91.4602,32.9634],[-91.4651,32.9506],[-91.4733,32.947],[-91.4739,32.9425],[-91.4777,32.9402],[-91.4799,32.9343],[-91.4766,32.9302],[-91.4799,32.9247],[-91.4837,32.9229],[-91.4865,32.9202],[-91.4886,32.917],[-91.4881,32.9124],[-91.493,32.9097],[-91.4974,32.9079],[-91.4974,32.8997],[-91.4952,32.8937],[-91.4996,32.8896],[-91.5029,32.8887],[-91.5039,32.886],[-91.5056,32.8842],[-91.511,32.881],[-91.5192,32.876],[-91.5269,32.8764],[-91.5312,32.8778],[-91.5367,32.8769],[-91.5422,32.8773],[-91.546,32.8737],[-91.5476,32.8705],[-91.5498,32.8664],[-91.5564,32.8646],[-91.5613,32.8591],[-91.5646,32.8564],[-91.5711,32.8496],[-91.5776,32.835],[-91.5782,32.8332],[-91.5782,32.83],[-91.576,32.8245],[-91.5765,32.8222],[-91.5804,32.8204],[-91.5847,32.8172],[-91.5885,32.8122],[-91.5929,32.8072],[-91.5907,32.8027],[-91.5912,32.7976],[-91.5994,32.7922],[-91.6054,32.7858],[-91.6038,32.7817],[-91.5994,32.773],[-91.5972,32.7685],[-91.5961,32.7644],[-91.5956,32.758],[-91.5988,32.7521],[-91.6015,32.7448],[-91.6043,32.7434],[-91.6081,32.7421],[-91.6119,32.7412],[-91.6141,32.7384],[-91.613,32.7352],[-91.6157,32.733],[-91.6173,32.7316],[-91.619,32.7289],[-91.6244,32.7216],[-91.6293,32.7211],[-91.6326,32.7197],[-91.6348,32.7161],[-91.6375,32.7124],[-91.638,32.7061],[-91.6375,32.7033],[-91.6347,32.7029],[-91.6326,32.7024],[-91.6287,32.6992],[-91.6271,32.6956],[-91.6227,32.692],[-91.6249,32.686],[-91.6249,32.6824],[-91.6298,32.6774],[-91.633,32.6724],[-91.639,32.6696],[-91.6396,32.6619],[-91.6406,32.6578],[-91.6423,32.6514],[-91.6444,32.6455],[-91.6466,32.6409],[-91.6488,32.6382],[-91.6526,32.6359],[-91.6553,32.6327],[-91.6547,32.6295],[-91.6558,32.6231],[-91.658,32.6213],[-91.6613,32.6204],[-91.664,32.6186],[-91.6656,32.6177],[-91.6667,32.6158],[-91.6705,32.6149],[-91.6765,32.6154],[-91.6798,32.6167],[-91.6847,32.6163],[-91.6874,32.6149],[-91.6885,32.6122],[-91.6895,32.6094],[-91.6923,32.6103],[-91.6944,32.6108],[-91.6977,32.6112],[-91.707,32.6144],[-91.7135,32.6103],[-91.7195,32.6062],[-91.7244,32.6021],[-91.7282,32.5989],[-91.7298,32.5952],[-91.7336,32.5893],[-91.7384,32.5793],[-91.7357,32.5711],[-91.7395,32.5602],[-91.7444,32.5583],[-91.7455,32.5579],[-91.7542,32.5597],[-91.759,32.5601],[-91.7677,32.5555],[-91.7705,32.5601],[-91.7721,32.5619],[-91.7786,32.5637],[-91.7835,32.5628],[-91.7884,32.5619],[-91.7923,32.5637],[-91.795,32.565],[-91.7961,32.5682],[-91.8015,32.5705],[-91.8053,32.57],[-91.8086,32.5686],[-91.8119,32.5659],[-91.814,32.565],[-91.8146,32.5627],[-91.8194,32.5577],[-91.8249,32.5549],[-91.8298,32.5531],[-91.8368,32.5467],[-91.8389,32.5412],[-91.84,32.5399],[-91.8427,32.5389],[-91.8427,32.5362],[-91.8416,32.5298],[-91.84,32.5244],[-91.8421,32.5207],[-91.8454,32.5166],[-91.8486,32.5161],[-91.8546,32.5175],[-91.8606,32.5207],[-91.8633,32.5225],[-91.8677,32.5247],[-91.8726,32.5279],[-91.8764,32.5338],[-91.8852,32.5438],[-91.8906,32.542],[-91.8933,32.5415],[-91.895,32.5392],[-91.896,32.536],[-91.8966,32.5342],[-91.8976,32.5296],[-91.8981,32.526],[-91.8998,32.5214],[-91.9008,32.5164],[-91.9046,32.51],[-91.9122,32.5077],[-91.9079,32.5187],[-91.9079,32.5287],[-91.9096,32.536],[-91.9167,32.5414],[-91.9189,32.551],[-91.9206,32.5542],[-91.9239,32.5628],[-91.9256,32.5692],[-91.9294,32.5828],[-91.9219,32.5888],[-91.9208,32.5942],[-91.9209,32.6038],[-91.9203,32.6125],[-91.921,32.6234],[-91.9215,32.632],[-91.9232,32.6375],[-91.9243,32.6439],[-91.9227,32.6466],[-91.9151,32.6471],[-91.9129,32.6517],[-91.9108,32.6535],[-91.9086,32.6558],[-91.907,32.6608],[-91.9124,32.6626],[-91.919,32.6662],[-91.9239,32.6685],[-91.9277,32.6671],[-91.9331,32.6621],[-91.938,32.6598],[-91.9408,32.6602],[-91.9462,32.6638],[-91.949,32.6647],[-91.9512,32.6697],[-91.9523,32.6743],[-91.9577,32.6775],[-91.9616,32.6792],[-91.9638,32.6811],[-91.967,32.6847],[-91.9703,32.6902],[-91.9715,32.6992],[-91.9705,32.7111],[-91.9732,32.7129],[-91.977,32.7093],[-91.9808,32.7074],[-91.9906,32.7051],[-91.9933,32.7046],[-91.9971,32.7046],[-92.0059,32.7078],[-92.0081,32.7087],[-92.0151,32.7013],[-92.02,32.7004],[-92.0276,32.7036],[-92.0326,32.7113],[-92.0364,32.7135],[-92.0402,32.7126],[-92.0435,32.7099],[-92.0446,32.7062],[-92.0407,32.7017],[-92.0352,32.6931],[-92.0477,32.688],[-92.0499,32.6893],[-92.0521,32.6984],[-92.0555,32.7062],[-92.0517,32.7126],[-92.0539,32.7144],[-92.0561,32.7189],[-92.0577,32.7225],[-92.0632,32.7225],[-92.0654,32.723],[-92.0605,32.7303],[-92.0589,32.7348],[-92.054,32.7371],[-92.0519,32.7435],[-92.0568,32.7481],[-92.0623,32.7508],[-92.0629,32.7558],[-92.0624,32.7576],[-92.0613,32.7617],[-92.0602,32.7663],[-92.0554,32.7699],[-92.0548,32.7722],[-92.0533,32.7941],[-92.0545,32.7981],[-92.0572,32.805],[-92.0633,32.814],[-92.0661,32.8213],[-92.0601,32.8241],[-92.0601,32.8277],[-92.0651,32.8313],[-92.0645,32.8341],[-92.0558,32.8378],[-92.0564,32.8446],[-92.0663,32.85],[-92.0751,32.8604],[-92.084,32.8777],[-92.0786,32.8877],[-92.0776,32.8968],[-92.0798,32.9091],[-92.0739,32.916],[-92.0728,32.9251],[-92.0767,32.9342],[-92.0779,32.9465],[-92.0807,32.951],[-92.0791,32.9565],[-92.0851,32.9569],[-92.0835,32.9619],[-92.0857,32.9651],[-92.083,32.9692],[-92.0759,32.9697],[-92.0754,32.9738],[-92.082,32.9815],[-92.0771,32.9861],[-92.0711,32.9875],[-92.0717,32.997],[-92.0641,33.0021],[-92.0647,33.0089],[-92.0171,33.0087],[-91.9071,33.008],[-91.6834,33.0075],[-91.667,33.0074],[-91.6659,33.0074],[-91.4607,33.0059]]]},\"properties\":{\"name\":\"Morehouse\",\"state\":\"LA\"}}]}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
Despite increasing interest in determining the population-level effects of emerging infectious diseases on wildlife, estimating effects of disease on survival rates remains difficult. Even for a well-studied disease such as amphibian chytridiomycosis (caused by the fungus Batrachochytrium dendrobatidis [Bd]), there are few estimates of how survival of wild hosts is affected. We applied hierarchical models to long-term capture-mark-recapture data (mean = 10.6 yrs, range = 6–15 yrs) from >5500 uniquely-marked individuals to estimate the effect of Bd on apparent survival of four threatened or endangered ranid frog species (Rana draytonii, R. muscosa, R. pretiosa, R. sierrae) at 14 study sites in California and Oregon (USA) and one bufonid toad (Anaxyrus boreas) at two study sites in Wyoming and Montana. Our models indicated that the presence of Bd on an individual reduced apparent survival of ranid frogs by ~6–15% depending on species and sex. The estimated difference between toads with and without Bd was 19% for the Montana population and 55% for the Wyoming population; however, the 95% Credible Interval of these estimates included zero. These results provide evidence for negative effects of Bd on survival in wild populations even in the absence of obvious die-offs. Determining what factors influence the magnitude of the effects of Bd on wildlife populations is an important next step toward identifying management actions. These estimates of Bd effects are important for understanding the extent and severity of disease, whether disease effects have changed over time, and for informing management actions.
The importance of long-distance dispersal (LDD) in shaping geographical distributions has been debated since the nineteenth century. In terrestrial vertebrates, LDD events across large water bodies are considered highly improbable, but organismal traits affecting dispersal capacity are generally not taken into account. Here, we focus on a recent lizard radiation and combine a summary-coalescent species tree based on 1225 exons with a probabilistic model that links dispersal capacity to an evolving trait, to investigate whether ecological specialization has influenced the probability of trans-oceanic dispersal. Cryptoblepharus species that occur in coastal habitats have on average dispersed 13 to 14 times more frequently than non-coastal species and coastal specialization has, therefore, led to an extraordinarily widespread distribution that includes multiple continents and distant island archipelagoes. Furthermore, their presence across the Pacific substantially predates the age of human colonization and we can explicitly reject the possibility that these patterns are solely shaped by human-mediated dispersal. Overall, by combining new analytical methods with a comprehensive phylogenomic dataset, we use a quantitative framework to show how coastal specialization can influence dispersal capacity and eventually shape geographical distributions at a macroevolutionary scale.
","language":"English","publisher":"Royal Society","doi":"10.1098/rspb.2018.2575","usgsCitation":"Blom, M.P., Matzke, N.J., Bragg, J., Arida, E., Austin, C.C., Backlin, A.R., Carretero, M.A., Fisher, R.N., Glaw, F., Hathaway, S.A., Iskandar, D.T., McGuire, J.A., Karin, B.R., Reilly, S.B., Rittmeyer, E.N., Rocha, S., Sanchez, M., Stubbs, A.L., Vences, M., and Moritz, C., 2019, Habitat preference modulates trans-oceanic dispersal in a terrestrial vertebrate: Proceedings of the Royal Society B: Biological Sciences, v. 286, no. 1904, 20182575 , https://doi.org/10.1098/rspb.2018.2575.","productDescription":"20182575 ","ipdsId":"IP-104974","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467559,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.lsu.edu/biosci_pubs/29","text":"Publisher Index Page"},{"id":364993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","issue":"1904","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Blom, Mozes P.K.","contributorId":216467,"corporation":false,"usgs":false,"family":"Blom","given":"Mozes","email":"","middleInitial":"P.K.","affiliations":[{"id":39447,"text":"The Australian National University, Canberra, Australi","active":true,"usgs":false}],"preferred":false,"id":764803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matzke, Nicholas J","contributorId":216468,"corporation":false,"usgs":false,"family":"Matzke","given":"Nicholas","email":"","middleInitial":"J","affiliations":[{"id":39447,"text":"The Australian National University, Canberra, Australi","active":true,"usgs":false}],"preferred":false,"id":764804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bragg, Jason G","contributorId":216469,"corporation":false,"usgs":false,"family":"Bragg","given":"Jason G","affiliations":[{"id":39447,"text":"The Australian National University, Canberra, Australi","active":true,"usgs":false}],"preferred":false,"id":764805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arida, Evy","contributorId":216470,"corporation":false,"usgs":false,"family":"Arida","given":"Evy","email":"","affiliations":[{"id":39448,"text":", The Indonesian Institute of Sciences, Cibinong, Indonesia","active":true,"usgs":false}],"preferred":false,"id":764806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Austin, Christopher C.","contributorId":216471,"corporation":false,"usgs":false,"family":"Austin","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":39449,"text":"Louisiana State University, Baton Rouge","active":true,"usgs":false}],"preferred":false,"id":764807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carretero, Miguel A","contributorId":216472,"corporation":false,"usgs":false,"family":"Carretero","given":"Miguel","email":"","middleInitial":"A","affiliations":[{"id":39450,"text":"University of Porto, Porto, Portugal","active":true,"usgs":false}],"preferred":false,"id":764809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Glaw, Frank","contributorId":147482,"corporation":false,"usgs":false,"family":"Glaw","given":"Frank","email":"","affiliations":[],"preferred":false,"id":764810,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":206793,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764811,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Iskandar, Djoko T","contributorId":216473,"corporation":false,"usgs":false,"family":"Iskandar","given":"Djoko","email":"","middleInitial":"T","affiliations":[{"id":39451,"text":"Institut Teknologi, Bandung, Indonesia","active":true,"usgs":false}],"preferred":false,"id":764812,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McGuire, Jimmy A.","contributorId":216474,"corporation":false,"usgs":false,"family":"McGuire","given":"Jimmy","email":"","middleInitial":"A.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":764813,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Karin, Benjamin R.","contributorId":216475,"corporation":false,"usgs":false,"family":"Karin","given":"Benjamin","email":"","middleInitial":"R.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":764814,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Reilly, Sean B","contributorId":216476,"corporation":false,"usgs":false,"family":"Reilly","given":"Sean","email":"","middleInitial":"B","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":764815,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rittmeyer, Eric N","contributorId":216477,"corporation":false,"usgs":false,"family":"Rittmeyer","given":"Eric","email":"","middleInitial":"N","affiliations":[{"id":39452,"text":", The Australian National University, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":764816,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rocha, Sara","contributorId":216478,"corporation":false,"usgs":false,"family":"Rocha","given":"Sara","email":"","affiliations":[{"id":39453,"text":"University of Vigo, Vigo, Spain","active":true,"usgs":false}],"preferred":false,"id":764817,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Sanchez, Mickael","contributorId":216479,"corporation":false,"usgs":false,"family":"Sanchez","given":"Mickael","email":"","affiliations":[{"id":39454,"text":"Association Nature Océan Indien, Petite Ile, Réunion","active":true,"usgs":false}],"preferred":false,"id":764818,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Stubbs, Alexander L.","contributorId":216480,"corporation":false,"usgs":false,"family":"Stubbs","given":"Alexander","email":"","middleInitial":"L.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":764819,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Vences, Miguel","contributorId":216481,"corporation":false,"usgs":false,"family":"Vences","given":"Miguel","email":"","affiliations":[{"id":39455,"text":"Technical University of Braunschweig, Braunschweig, Germany","active":true,"usgs":false}],"preferred":false,"id":764820,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Moritz, Craig","contributorId":149462,"corporation":false,"usgs":false,"family":"Moritz","given":"Craig","email":"","affiliations":[{"id":17742,"text":"Research School of Biology, The Australian Nat'l U, Acton, Australia","active":true,"usgs":false}],"preferred":false,"id":764821,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70205957,"text":"70205957 - 2019 - The development and delivery of species distribution models to inform decision-making","interactions":[],"lastModifiedDate":"2019-10-14T06:54:31","indexId":"70205957","displayToPublicDate":"2019-06-05T06:53:44","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The development and delivery of species distribution models to inform decision-making","docAbstract":"Information on where species occur is central to conservation and management decisions, but knowledge of distributions can be coarse or incomplete. Species distribution models provide a tool for mapping suitable habitat, and can produce credible, defensible, and repeatable predictive information with which to inform decisions. However, these models are sensitive to data inputs and methodological choices, making it important to assess the reliability and utility of model predictions. We provide a rubric that model developers can use to communicate a model’s attributes and its appropriate uses. We emphasize the importance of tailoring model development and delivery to the species of interest and the intended use, and the advantages of iterative modeling and validation. We highlight how species distribution models have been used to design surveys for new populations, prioritize actions across space, and support regulatory decision-making and compliance, tying these examples back to our rubric.","language":"English","publisher":"Oxford academic","doi":"10.1093/biosci/biz045","usgsCitation":"Sofaer, H., Jarnevich, C.S., Pearse, I.S., Smyth, R.L., Auer, S., L, C.G., Edwards, T., Guala, G.F., Howard, T.G., Morisette, J., and Hamilton, H., 2019, The development and delivery of species distribution models to inform decision-making: BioScience, v. 69, no. 7, p. 544-557, https://doi.org/10.1093/biosci/biz045.","productDescription":"14 p.","startPage":"544","endPage":"557","ipdsId":"IP-097200","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biz045","text":"Publisher Index Page"},{"id":368291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":773041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smyth, Regan L","contributorId":219729,"corporation":false,"usgs":false,"family":"Smyth","given":"Regan","email":"","middleInitial":"L","affiliations":[{"id":17658,"text":"NatureServe","active":true,"usgs":false}],"preferred":false,"id":773042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Auer, Stephanie","contributorId":219730,"corporation":false,"usgs":false,"family":"Auer","given":"Stephanie","email":"","affiliations":[],"preferred":false,"id":773043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"L, Cook Gericke","contributorId":219731,"corporation":false,"usgs":false,"family":"L","given":"Cook","email":"","middleInitial":"Gericke","affiliations":[{"id":37295,"text":"USDA APHIS","active":true,"usgs":false}],"preferred":false,"id":773044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Edwards, Thomas C. Jr. 0000-0002-0773-0909 tce@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-0909","contributorId":191916,"corporation":false,"usgs":true,"family":"Edwards","given":"Thomas C.","suffix":"Jr.","email":"tce@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":773045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guala, Gerald F. 0000-0002-4972-3782 gguala@usgs.gov","orcid":"https://orcid.org/0000-0002-4972-3782","contributorId":206063,"corporation":false,"usgs":true,"family":"Guala","given":"Gerald","email":"gguala@usgs.gov","middleInitial":"F.","affiliations":[{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":773046,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Howard, Timothy G","contributorId":219732,"corporation":false,"usgs":false,"family":"Howard","given":"Timothy","email":"","middleInitial":"G","affiliations":[{"id":40055,"text":"NY Natural Heritage","active":true,"usgs":false}],"preferred":false,"id":773047,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Morisette, Jeffrey T.","contributorId":219733,"corporation":false,"usgs":false,"family":"Morisette","given":"Jeffrey T.","affiliations":[{"id":40056,"text":"National Invasive Species Council","active":true,"usgs":false}],"preferred":false,"id":773048,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hamilton, Healy","contributorId":192401,"corporation":false,"usgs":false,"family":"Hamilton","given":"Healy","email":"","affiliations":[],"preferred":false,"id":773049,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70203651,"text":"sir20195034 - 2019 - Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.","interactions":[],"lastModifiedDate":"2019-06-06T12:10:44","indexId":"sir20195034","displayToPublicDate":"2019-06-04T16:30:00","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":"2019-5034","title":"Gap Analysis Project (GAP) Terrestrial Vertebrate Species Richness Maps for the Conterminous U.S.","docAbstract":"The mission of the Gap Analysis Project (GAP) is to support national and regional assessments of the conservation status of vertebrate species and plant communities. This report explains conterminous United States species richness maps created by the U.S. Geological Survey for four major classes in the phylum Chordata: mammals, birds, reptiles, and amphibians. In this work, we focus on terrestrial vertebrate species and the spatial patterns of richness derived from species’ habitat distribution models. We created species’ habitat distribution models for 1,590 species (282 amphibians, 621 birds, 365 mammals, 322 reptiles) and an additional 129 subspecies (2 amphibians, 28 birds, 94 mammals, 5 reptiles) that occur in the conterminous United States. The 1,590 species level models were spatially combined to create the taxa richness maps at a spatial resolution of 30 meters. Based on those maps we identified the maximum species richness for each of the taxa (43 amphibians, 163 birds, 72 mammals, and 54 reptiles) and show variation in richness across the conterminous United States. Because these habitat models remove unsuitable areas within the range of the species, the patterns of richness presented here are different from the coarse-resolution species’ habitat distribution models commonly presented in the literature. These maps provide a new, more spatially refined richness map. In addition, since these models are logically linked to mapped data layers that constitute habitat suitability, this suite of data can provide an intuitive data system for further exploration of biodiversity and implications for change at ecosystem and landscape scales.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20195034","collaboration":"Prepared in cooperation with North Carolina State University, New Mexico State University, and Boise State University","usgsCitation":"Gergely, K.J., Boykin, K.G., McKerrow, A.J., Rubino, M.J., Tarr, N.M., and Williams, S.G., 2019, Gap Analysis Project (GAP) terrestrial vertebrate species richness maps for the conterminous U.S.: U.S. Geological Survey Scientific Investigations Report 2019–5034, 99 p., https://doi.org/10.3133/sir20195034.","productDescription":"v, 99 p.","numberOfPages":"110","onlineOnly":"Y","ipdsId":"IP-099179","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":364342,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V122T2","text":"USGS data release","linkHelpText":"U.S. Geological Survey - Gap Analysis Project Species Habitat Maps CONUS_2001"},{"id":364248,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7Q81B3R","text":"USGS data release","linkHelpText":"U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001"},{"id":364247,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2019/5034/sir20195034.pdf","text":"Report","size":"7.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2019–5034"},{"id":364246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2019/5034/coverthb.jpg"}],"contact":"Director, Core Science Analytics and Synthesis
U.S. Geological Survey
Box 25046, MS-302
Denver, CO 80225-0046
Guánica Bay in southwest Puerto Rico is highly turbid and has some of the highest PCB concentrations in the USA. To investigate how and to what extent the bay waters influence coral reef ecosystem health along the coastline, 6 months of hydrodynamic data were collected at 8 sites on the insular shelf. Bed shear stresses were primarily driven by waves and were weakest at the site closest to La Parguera, located downcoast to the west. Due to the prevailing westward shelf currents, suspended particulate material (SPM) exiting the bay likely settles out at these lower energy sites. We postulate the ecosystem in this area was adversely affected immediately after the hurricane because (1) the source concentration of SPM and PCBs in the bay was greatly increased, and (2) regional waves in the months after the hurricane season were less energetic and, thus, less frequently mobilized and flushed the material.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coastal Sediments 2019 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0079","usgsCitation":"Cheriton, O., Storlazzi, C.D., Rosenberger, K.J., and Sherman, C., 2019, Controls on sediment transport over coral reefs off southwest Puerto Rico: Seasonal patterns and Hurricane Maria, in Coastal Sediments 2019 Proceedings, p. 903-915, https://doi.org/10.1142/9789811204487_0079.","productDescription":"13 p.","startPage":"903","endPage":"915","ipdsId":"IP-103770","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":365994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Guanica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.07599639892577,\n 17.92516935349583\n ],\n [\n -66.78485870361328,\n 17.92516935349583\n ],\n [\n -66.78485870361328,\n 17.997672483883054\n ],\n [\n -67.07599639892577,\n 17.997672483883054\n ],\n [\n -67.07599639892577,\n 17.92516935349583\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheriton, Olivia 0000-0003-3011-9136 ocheriton@usgs.gov","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":149003,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","email":"ocheriton@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":767225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherman, Clark","contributorId":9795,"corporation":false,"usgs":true,"family":"Sherman","given":"Clark","affiliations":[],"preferred":false,"id":767226,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}