{"pageNumber":"422","pageRowStart":"10525","pageSize":"25","recordCount":46638,"records":[{"id":70174236,"text":"70174236 - 2016 - Post-release survival and movement of Western Grebes (<i>Aechmophorus occidentalis</i>) implanted with intracoelomic satellite transmitters","interactions":[],"lastModifiedDate":"2017-10-30T09:48:35","indexId":"70174236","displayToPublicDate":"2016-06-08T06:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Post-release survival and movement of Western Grebes (<i>Aechmophorus occidentalis</i>) implanted with intracoelomic satellite transmitters","docAbstract":"<p>The main goal of this study was to gain knowledge on post-release survival and movement of Western Grebes (<i>Aechmophorus occidentalis</i>) using a modified technique for implanting satellite transmitters. This technique had improved post-surgical survival in an earlier study. Nine Western Grebes, implanted with intracoelomic (within the body cavity) satellite transmitters with percutaneous antennae, were released close to their capture site in San Francisco Bay, California, USA. Eight survived at least 25 days (average number of transmittal days was 140.8), while two had transmitters that provided data for greater than 1 year (436 and 454 days). The average cumulative distance recorded for all Western Grebes (<i>n</i> = 9) was 829 km with two round-trip movements documented. One individual Western Grebe traveled a cumulative round-trip distance of 2,144 km in July and November 2011, while another individual traveled a round-trip distance of 1,514 km between 8 and 14 December 2011. This study provides a step forward in testing implantable satellite transmitters in Western Grebes and highlights the need to further improve tracking methods, potentially improving our understanding of their population threats.</p>","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.039.0208","usgsCitation":"Mills, K.L., Gaydos, J.K., Fiorello, C.V., Whitmer, E., De La Cruz, S., Mulcahy, D.M., Vilchis, L.I., and Ziccardi, M.H., 2016, Post-release survival and movement of Western Grebes (<i>Aechmophorus occidentalis</i>) implanted with intracoelomic satellite transmitters: Waterbirds, v. 39, no. 2, p. 175-186, https://doi.org/10.1675/063.039.0208.","productDescription":"12 p.","startPage":"175","endPage":"186","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051534","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":324763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Clear Lake, Drews Reservoir, San Francisco Bay, Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.07958984375001,\n              32.602361666817515\n            ],\n            [\n              -124.07958984375001,\n              43.24520272203359\n            ],\n            [\n              -116.3232421875,\n              43.24520272203359\n            ],\n            [\n              -116.3232421875,\n              32.602361666817515\n            ],\n            [\n              -124.07958984375001,\n              32.602361666817515\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577e2bb1e4b0ef4d2f445a36","contributors":{"authors":[{"text":"Mills, Kyra L.","contributorId":172677,"corporation":false,"usgs":false,"family":"Mills","given":"Kyra","email":"","middleInitial":"L.","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaydos, Joseph K.","contributorId":28456,"corporation":false,"usgs":true,"family":"Gaydos","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":641546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fiorello, Christine V.","contributorId":172678,"corporation":false,"usgs":false,"family":"Fiorello","given":"Christine","email":"","middleInitial":"V.","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitmer, Emily","contributorId":172679,"corporation":false,"usgs":false,"family":"Whitmer","given":"Emily","email":"","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":641549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":641550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vilchis, L. Ignacio","contributorId":172680,"corporation":false,"usgs":false,"family":"Vilchis","given":"L.","email":"","middleInitial":"Ignacio","affiliations":[{"id":24831,"text":"San Diego Zoo Institute for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":641551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ziccardi, Michael H.","contributorId":16677,"corporation":false,"usgs":true,"family":"Ziccardi","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":641552,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70174899,"text":"ds1011 - 2016 - Total Petroleum Systems of the Michigan Basin—Petroleum geology and geochemistry and assessment of undiscovered resources","interactions":[],"lastModifiedDate":"2016-07-26T11:16:59","indexId":"ds1011","displayToPublicDate":"2016-06-08T02:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1011","title":"Total Petroleum Systems of the Michigan Basin—Petroleum geology and geochemistry and assessment of undiscovered resources","docAbstract":"<p>[None available]</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ds1011","usgsCitation":"Swezey, C.S., 2016, Total Petroleum Systems of the Michigan Basin—Petroleum geology and geochemistry and assessment of undiscovered resources: U.S. Geological Survey Data Series 1011, https://doi.org/10.3133/ds1011.","numberOfPages":"162","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077857","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":325640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":325562,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/publication/ds69T"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579889cce4b0589fa1c6bbb9","contributors":{"authors":[{"text":"Swezey, Christopher S. 0000-0003-4019-9264 cswezey@usgs.gov","orcid":"https://orcid.org/0000-0003-4019-9264","contributorId":173033,"corporation":false,"usgs":true,"family":"Swezey","given":"Christopher","email":"cswezey@usgs.gov","middleInitial":"S.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":643356,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70170774,"text":"sir20165057 - 2016 - Vulnerabilities of national parks in the American Midwest to climate and land use changes","interactions":[],"lastModifiedDate":"2016-06-08T15:43:53","indexId":"sir20165057","displayToPublicDate":"2016-06-08T00:00:00","publicationYear":"2016","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":"2016-5057","title":"Vulnerabilities of national parks in the American Midwest to climate and land use changes","docAbstract":"<p>Many national parks in the American Midwest are surrounded by agricultural or urban areas or are in highly fragmented or rapidly changing landscapes. An environmental stressor is a physical, chemical, or biological condition that affects the functioning or productivity of species or ecosystems. Climate change is just one of many stressors on park natural resources; others include urbanization, land use change, air and water pollution, and so on. Understanding and comparing the relative vulnerability of a suite of parks to projected climate and land use changes is important for region-wide planning. A vulnerability assessment of 60 units in the 13-state U.S. National Park Service Midwestern administrative region to climate and land use change used existing data from multiple sources. Assessment included three components: individual park exposure (5 metrics), sensitivity (5 metrics), and constraints to adaptive capacity (8 metrics) under 2 future climate scenarios. The three components were combined into an overall vulnerability score. Metrics were measures of existing or projected conditions within park boundaries, within 10-kilometer buffers surrounding parks, and within ecoregions that contain or intersect them. Data were normalized within the range of values for all assessed parks, resulting in high, medium, and low relative rankings for exposure, sensitivity, constraints to adaptive capacity, and overall vulnerability. Results are consistent with assessments regarding patterns and rates of climate change nationwide but provide greater detail and relative risk for Midwestern parks. Park overall relative vulnerability did not differ between climate scenarios. Rankings for exposure, sensitivity, and constraints to adaptive capacity varied geographically and indicate regional conservation planning opportunities. The most important stressors for the most vulnerable Midwestern parks are those related to sensitivity (intrinsic characteristics of the park) and constraints on adaptive capacity (characteristics of the surrounding landscape) rather than exposure to external forces, including climate change. Output will allow individual park managers to understand which metrics weigh most heavily in the overall vulnerability of their park and can be used for region-wide responses and resource allocation for adaptation efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165057","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Stroh, E.D., Struckhoff, M., Shaver, D., and Karstensen, K., 2016, Vulnerabilities of national parks in the American Midwest to climate and land use changes: U.S. Geological Survey Scientific Investigations Report 2016–5057, 20 p., https://dx.doi.org/10.3133/sir20165057.","productDescription":"Report: iv, 20 p.; Appendix","startPage":"1","endPage":"20","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070869","costCenters":[{"id":192,"text":"Columbia Environmental Research 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Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-94.042964,33.019219],[-94.043375,33.542315],[-94.485577,33.65331],[-94.432015,35.367391],[-94.699735,36.998805],[-102.000447,36.993249],[-102.051614,41.002377],[-104.039238,41.001502],[-103.992467,48.999567],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.982227,47.479236],[-87.730804,47.449112],[-88.236892,47.189236],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.517242,45.923614],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-87.661964,44.973035],[-87.972654,44.733687],[-87.943801,44.529693],[-87.238229,45.167238],[-86.978697,45.227538],[-87.467089,44.553557],[-87.910172,43.236634],[-87.779527,42.732482],[-87.812461,42.232278],[-87.511043,41.696535],[-87.187651,41.629653],[-86.824828,41.76024],[-86.321803,42.310743],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.069573,45.459239],[-85.079528,45.617083],[-84.94565,45.708621],[-85.011433,45.757962],[-84.774156,45.788918],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.643166,43.852468],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.40822,41.832654],[-83.37573,41.686647],[-82.481214,41.381342],[-81.69325,41.514161],[-80.533774,41.973475],[-80.518991,40.638801],[-80.667957,40.582496],[-80.619297,40.26517],[-80.88036,39.620706],[-81.656138,39.277355],[-81.874857,38.881174],[-82.068864,38.984878],[-82.318111,38.457876],[-82.569368,38.406258],[-82.923694,38.750076],[-83.301951,38.598178],[-83.512571,38.701716],[-83.762445,38.652103],[-84.212904,38.805707],[-84.445242,39.114461],[-84.744149,39.147458],[-84.888873,39.066376],[-84.816506,38.80532],[-85.448862,38.713368],[-85.415272,38.555416],[-85.816164,38.282969],[-86.042354,37.958018],[-86.33281,38.182938],[-86.634271,37.843845],[-86.810913,37.99715],[-87.065388,37.810481],[-87.402632,37.942267],[-87.666522,37.827455],[-87.921744,37.907885],[-88.158374,37.639948],[-88.063311,37.515755],[-88.450127,37.411717],[-88.490068,37.067874],[-88.98326,37.228685],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.554289,36.277751],[-89.703511,36.243412],[-89.615128,36.113816],[-89.704351,35.835726],[-89.950278,35.738493],[-89.851176,35.657432],[-89.904392,35.535701],[-90.169002,35.421853],[-90.064612,35.140621],[-90.291996,35.041793],[-90.301957,34.880053],[-90.453916,34.891122],[-90.613944,34.390723],[-91.048367,33.985078],[-91.000107,33.799549],[-91.125527,33.70878],[-91.046778,33.706313],[-91.205377,33.700819],[-91.191973,33.417728],[-91.064701,33.453775],[-91.124639,33.064127],[-94.042964,33.019219]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Arkansas\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, Columbia Environmental Research Center <br>U.S. Geological Survey<br>4200 New Haven Road <br>Columbia, Missouri 65203</p><p><a href=\"http://www.cerc.usgs.gov/\" data-mce-href=\"http://www.cerc.usgs.gov/\">http://www.cerc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Table containing raw and normalized scores used to calculate vulnerability of 60 American Midwestern national parks to projected climate and land use changes for 2080–2099</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-06-08","noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"575933b3e4b04f417c253d1c","contributors":{"authors":[{"text":"Stroh, Esther D. 0000-0003-4291-4647 estroh@usgs.gov","orcid":"https://orcid.org/0000-0003-4291-4647","contributorId":2813,"corporation":false,"usgs":true,"family":"Stroh","given":"Esther","email":"estroh@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":628360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Struckhoff, Matthew A. 0000-0002-4911-9956 mstruckhoff@usgs.gov","orcid":"https://orcid.org/0000-0002-4911-9956","contributorId":2095,"corporation":false,"usgs":true,"family":"Struckhoff","given":"Matthew","email":"mstruckhoff@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":628361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaver, David","contributorId":24265,"corporation":false,"usgs":true,"family":"Shaver","given":"David","affiliations":[],"preferred":false,"id":628362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karstensen, Krista A. kkarstensen@usgs.gov","contributorId":286,"corporation":false,"usgs":true,"family":"Karstensen","given":"Krista","email":"kkarstensen@usgs.gov","middleInitial":"A.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":628363,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173659,"text":"70173659 - 2016 - Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012","interactions":[],"lastModifiedDate":"2016-06-07T15:31:49","indexId":"70173659","displayToPublicDate":"2016-06-07T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012","docAbstract":"<p><span>An acoustic Doppler velocity meter (ADVM) was deployed in the narrows between Namakan and Kabetogama Lakes in Voyageurs National Park, Minnesota, from November 3, 2010, through October 3, 2012. The ADVM can account for wind, seiche, and changing flow direction in hydrologically complex areas. The objectives were to (1) estimate discharge and document the direction of water flow, (2) assess whether specific conductance can be used to determine flow direction, and (3) document nutrient and chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations at the narrows. The discharge direction through the narrows was seasonal. Water generally flowed out of Kabetogama Lake and into Namakan Lake throughout the ice-covered season. During spring, water flow was generally from Namakan Lake to Kabetogama Lake. During the summer and fall, the water flowed in both directions, affected in part by wind. Water flowed into Namakan Lake 70% of water year 2011 and 56% of water year 2012. Nutrient and chlorophyll&nbsp;</span><i>a</i><span>&nbsp;concentrations were highest during the summer months when water-flow direction was unpredictable. The use of an ADVM was effective for assessing flow direction and provided flow direction under ice. The results indicated the eutrophic Kabetogama Lake may have a negative effect on the more pristine Namakan Lake. The results also provide data on the effects of the current water-level management plan and may help determine if adjustments are necessary to help protect the aquatic ecosystem of Voyageurs National Park.</span></p>","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12412","collaboration":"National Park Service","usgsCitation":"Christensen, V.G., Wakeman, E., and Maki, R., 2016, Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012: Journal of the American Water Resources Association, v. 52, no. 3, p. 578-591, https://doi.org/10.1111/1752-1688.12412.","productDescription":"14 p.","startPage":"578","endPage":"591","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025168","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":323203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.17779541015624,\n              48.423277147739206\n            ],\n            [\n              -93.17779541015624,\n              48.62337807671534\n            ],\n            [\n              -92.62779235839844,\n              48.62337807671534\n            ],\n            [\n              -92.62779235839844,\n              48.423277147739206\n            ],\n            [\n              -93.17779541015624,\n              48.423277147739206\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-16","publicationStatus":"PW","scienceBaseUri":"5757e21ee4b04f417c242691","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wakeman, Eric ewakeman@usgs.gov","contributorId":171444,"corporation":false,"usgs":true,"family":"Wakeman","given":"Eric","email":"ewakeman@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":637467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173696,"text":"70173696 - 2016 - Management decision making for fisher populations informed by occupancy modeling","interactions":[],"lastModifiedDate":"2016-06-16T11:30:57","indexId":"70173696","displayToPublicDate":"2016-06-07T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Management decision making for fisher populations informed by occupancy modeling","docAbstract":"<p><span>Harvest data are often used by wildlife managers when setting harvest regulations for species because the data are regularly collected and do not require implementation of logistically and financially challenging studies to obtain the data. However, when harvest data are not available because an area had not previously supported a harvest season, alternative approaches are required to help inform management decision making. When distribution or density data are required across large areas, occupancy modeling is a useful approach, and under certain conditions, can be used as a surrogate for density. We collaborated with the New York State Department of Environmental Conservation (NYSDEC) to conduct a camera trapping study across a 70,096-km</span><sup>2</sup><span>&nbsp;region of southern New York in areas that were currently open to fisher (</span><i>Pekania</i><span>&nbsp;[</span><i>Martes</i><span>]&nbsp;</span><i>pennanti</i><span>) harvest and those that had been closed to harvest for approximately 65 years. We used detection&ndash;nondetection data at 826 sites to model occupancy as a function of site-level landscape characteristics while accounting for sampling variation. Fisher occupancy was influenced positively by the proportion of conifer and mixed-wood forest within a 15-km</span><sup>2</sup><span>&nbsp;grid cell and negatively associated with road density and the proportion of agriculture. Model-averaged predictions indicated high occupancy probabilities (&gt;0.90) when road densities were low (&lt;1&thinsp;km/km</span><sup>2</sup><span>) and coniferous and mixed forest proportions were high (&gt;0.50). Predicted occupancy ranged 0.41&ndash;0.67 in wildlife management units (WMUs) currently open to trapping, which could be used to guide a minimum occupancy threshold for opening new areas to trapping seasons. There were 5 WMUs that had been closed to trapping but had an average predicted occupancy of 0.52 (0.07 SE), and above the threshold of 0.41. These areas are currently under consideration by NYSDEC for opening a conservative harvest season. We demonstrate the use of occupancy modeling as an aid to management decision making when harvest-related data are unavailable and when budgetary constraints do not allow for capture&ndash;recapture studies to directly estimate density.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21077","usgsCitation":"Fuller, A.K., Linden, D.W., and Royle, J., 2016, Management decision making for fisher populations informed by occupancy modeling: Journal of Wildlife Management, v. 80, no. 5, p. 794-802, https://doi.org/10.1002/jwmg.21077.","productDescription":"9 p.","startPage":"794","endPage":"802","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067072","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5757e21fe4b04f417c2426a7","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linden, Daniel W.","contributorId":171466,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":637518,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173697,"text":"70173697 - 2016 - Understanding landowner intentions to create early successional forest habitat in the northeastern United States","interactions":[],"lastModifiedDate":"2016-06-07T13:18:56","indexId":"70173697","displayToPublicDate":"2016-06-07T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Understanding landowner intentions to create early successional forest habitat in the northeastern United States","docAbstract":"<p><span>Early successional forest habitat (ESH) and associated wildlife species in the northeastern United States are in decline. One way to help create early successional forest conditions is engaging private forest landowners in even-aged forest management because their limited participation may have contributed to declines in ESH for wildlife species of high conservation concern. We applied the reasoned action approach from social psychology to predict intentions of landowners in the 13-county Southern Tier of New York State, USA, to conduct patch-cuts, which is a type of even-aged forest management. We tested the predictive ability of the model using data from a mail survey of landowners conducted from November 2010 to January 2011. Landowner intention to conduct patch-cuts was high (55% of respondents), with attitude being the strongest direct predictor of behavioral intention. Our results suggest that patch-cutting intentions are most likely expressed by landowners who think the behavior is good for their land and wildlife, believe in positive outcomes of land and wildlife management, belong to a game wildlife organization, and have conducted patch-cuts in the past. Strategies to engage more landowners in ESH management will have the highest likelihood of success if outreach efforts focus on influencing behavioral beliefs and subsequently attitudes, possibly working with game wildlife organizations to communicate a unified message for habitat conservation, including the importance of maintaining and creating ESH. Our results demonstrate the importance of social science research to increase the likelihood that conservation targets for declining wildlife species are met. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.613","usgsCitation":"Dayer, A.A., Stedman, R.C., Allred, S.B., Rosenberg, K.V., and Fuller, A.K., 2016, Understanding landowner intentions to create early successional forest habitat in the northeastern United States: Wildlife Society Bulletin, v. 40, no. 1, p. 59-68, https://doi.org/10.1002/wsb.613.","productDescription":"10 p.","startPage":"59","endPage":"68","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061017","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500058,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/bbc9707bfb48429f8ae7e8f901d11dc6","text":"External Repository"},{"id":323111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70173635,"text":"70173635 - 2016 - Age-specific survival of reintroduced swift fox in Badlands National Park and surrounding lands","interactions":[],"lastModifiedDate":"2016-06-24T11:41:01","indexId":"70173635","displayToPublicDate":"2016-06-07T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Age-specific survival of reintroduced swift fox in Badlands National Park and surrounding lands","docAbstract":"<p><span>In 2003, a reintroduction program was initiated at Badlands National Park (BNP), South Dakota, USA, with swift foxes (</span><i>Vulpes velox</i><span>) translocated from Colorado and Wyoming, USA, as part of a restoration effort to recover declining swift fox populations throughout its historical range. Estimates of age-specific survival are necessary to evaluate the potential for population growth of reintroduced populations. We used 7 years (2003&ndash;2009) of capture&ndash;recapture data of 243 pups, 29 yearlings, and 69 adult swift foxes at BNP and the surrounding area to construct Cormack&ndash;Jolly&ndash;Seber model estimates of apparent survival within a capture&ndash;mark&ndash;recapture framework using Program MARK. The best model for estimating recapture probabilities included no differences among age classes, greater recapture probabilities during early years of the monitoring effort than later years, and variation among spring, winter, and summer. Our top ranked survival model indicated pup survival differed from that of yearlings and adults and varied by month and year. The apparent annual survival probability of pups (0.47, SE&thinsp;=&thinsp;0.10) in our study area was greater than the apparent annual survival probability of yearlings and adults (0.27, SE&thinsp;=&thinsp;0.08). Our results indicate low survival probabilities for a reintroduced population of swift foxes in the BNP and surrounding areas. Management of reintroduced populations and future reintroductions of swift foxes should consider the effects of relative low annual survival on population demography.</span></p>","language":"English","publisher":"Wiley Online Library","doi":"10.1002/wsb.641","usgsCitation":"Sasmal, I., Klaver, R.W., Jenks, J., and Schroeder, G.M., 2016, Age-specific survival of reintroduced swift fox in Badlands National Park and surrounding lands: Wildlife Society Bulletin, v. 40, no. 2, p. 217-223, https://doi.org/10.1002/wsb.641.","productDescription":"7 p.","startPage":"217","endPage":"223","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054537","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470906,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/224","text":"External Repository"},{"id":323098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-17","publicationStatus":"PW","scienceBaseUri":"5757e21de4b04f417c242687","contributors":{"authors":[{"text":"Sasmal, Indrani","contributorId":52826,"corporation":false,"usgs":true,"family":"Sasmal","given":"Indrani","email":"","affiliations":[],"preferred":false,"id":637435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":637436,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schroeder, Greg M.","contributorId":54845,"corporation":false,"usgs":true,"family":"Schroeder","given":"Greg","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":637437,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179178,"text":"70179178 - 2016 - Archiving and access systems for remote sensing: Chapter 6","interactions":[],"lastModifiedDate":"2017-04-17T10:02:45","indexId":"70179178","displayToPublicDate":"2016-06-07T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Archiving and access systems for remote sensing: Chapter 6","docAbstract":"<p><span>Focuses on major developments inaugurated by the Committee on Earth Observation Satellites, the Group on Earth Observations System of Systems, and the International Council for Science World Data System at the global level; initiatives at national levels to create data centers (e.g. the National Aeronautics and Space Administration (NASA) Distributed Active Archive Centers and other international space agency counterparts), and non-government systems (e.g. Center for International Earth Science Information Network). Other major elements focus on emerging tool sets, requirements for metadata, data storage and refresh methods, the rise of cloud computing, and questions about what and how much data should be saved. The sub-sections of the chapter address topics relevant to the science, engineering and standards used for state-of-the-art operational and experimental systems.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Manual of Remote Sensing","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Society for Photogrammetry","publisherLocation":"New York, NY","usgsCitation":"Faundeen, J., Percivall, G., Baros, S., Baumann, P., Becker, P.H., Behnke, J., Benedict, K., Colaiacomo, L., Di, L., Doescher, C., Dominguez, J., Edberg, R., Ferguson, M., Foreman, S., Giaretta, D., Hutchison, V.B., Ip, A., James, N., Khalsa, S.J., Lazorchak, B., Lewis, A., Li, F., Lymburner, L., Lynnes, C., Martens, M., Melrose, R., Morris, S., Mueller, N., Navale, V., Navulur, K., Newman, D., Oliver, S., Purss, M., Ramapriyan, H., Rew, R., Rosen, M., Savickas, J., Sixsmith, J., Sohre, T., Thau, D., Uhlir, P., Wang, L., and Young, J., 2016, Archiving and access 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,{"id":70170488,"text":"sir20165043 - 2016 - Flood-Inundation Maps for Sugar Creek at Crawfordsville, Indiana","interactions":[],"lastModifiedDate":"2016-06-08T10:45:32","indexId":"sir20165043","displayToPublicDate":"2016-06-06T15:30:00","publicationYear":"2016","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":"2016-5043","title":"Flood-Inundation Maps for Sugar Creek at Crawfordsville, Indiana","docAbstract":"<p>Digital flood-inundation maps for a 6.5-mile reach of Sugar Creek at Crawfordsville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" data-mce-href=\"http://water.usgs.gov/osw/flood_inundation/\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind. Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at <a href=\"http://waterdata.usgs.gov/\" data-mce-href=\"http://waterdata.usgs.gov/\">http://waterdata.usgs.gov/</a> or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at <a href=\"http://water.weather.gov/ahps/\" data-mce-href=\"http://water.weather.gov/ahps/\">http://water.weather.gov/ahps/</a>, which also forecasts flood hydrographs at this site (NWS site CRWI3).</p><p>Flood profiles were computed for the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind., reach by means of a one-dimensional step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current stage-discharge rating at the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind., and high-water marks from the flood of April 19, 2013, which reached a stage of 15.3 feet. The hydraulic model was then used to compute 13 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 4.0 ft (the NWS “action stage”) to 16.0 ft, which is the highest stage interval of the current USGS stage-discharge rating curve and 2 ft higher than the NWS “major flood stage.” The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar]) data having a 0.49-ft root mean squared error and 4.9-ft horizontal resolution) to delineate the area flooded at each stage.</p><p>The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165043","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Martin, Z.W., 2016, Flood-inundation maps for Sugar Creek at Crawfordsville, Indiana: U.S. Geological Survey Scientific Investigations Report 2016–5043, 11 p., https://dx.doi.org/10.3133/sir20165043.","productDescription":"Report: vi, 11 p.; Metadata; Spatial Data","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068569","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":322125,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5043/coverthb.jpg"},{"id":322126,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5043/sir20165043.pdf","text":"Report","size":"8.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5043"},{"id":322129,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_metadata_depthgrids.txt","text":"Depth Grids","size":"16.1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5043"},{"id":322130,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_metadata_shapefiles.txt       ","text":"Shapefiles","size":"17.6 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5043"},{"id":322131,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_shapefiles.zip","text":"Shapefiles","size":"1.50 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5043"},{"id":322132,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_depthgrids.zip","text":"Depth Grids","size":"11.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5043"}],"country":"United States","state":"Indiana","city":"Crawfordsville","otherGeospatial":"Sugar Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.956787109375,\n              40.04115213981706\n            ],\n            [\n              -86.95318222045898,\n              40.035369372460266\n            ],\n            [\n              -86.89807891845703,\n              40.04548889350432\n            ],\n            [\n              -86.88434600830078,\n              40.07557573609214\n            ],\n            [\n              -86.89498901367188,\n              40.07807142745009\n            ],\n            [\n              -86.9073486328125,\n              40.05442436453555\n            ],\n            [\n              -86.92811965942383,\n              40.052322006146916\n            ],\n            [\n              -86.956787109375,\n              40.04115213981706\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Indiana-Kentucky Water Science Center<br> U.S. Geological Survey<br> 5957 Lakeside Blvd<br> Indianapolis, IN 46278<br> <a href=\"http://in.water.usgs.gov/\" data-mce-href=\"http://in.water.usgs.gov/\">http://in.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Creation of Flood-Inundation-Map Library</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-06-06","noUsgsAuthors":false,"publicationDate":"2016-06-06","publicationStatus":"PW","scienceBaseUri":"5756909ee4b023b96ec20aa2","contributors":{"authors":[{"text":"Martin, Zachary W. 0000-0001-5779-3548 zmartin@usgs.gov","orcid":"https://orcid.org/0000-0001-5779-3548","contributorId":156296,"corporation":false,"usgs":true,"family":"Martin","given":"Zachary","email":"zmartin@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627413,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70178697,"text":"70178697 - 2016 - The Montaguto earth flow: nine years of observation and analysis","interactions":[],"lastModifiedDate":"2016-12-20T14:03:57","indexId":"70178697","displayToPublicDate":"2016-06-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The Montaguto earth flow: nine years of observation and analysis","docAbstract":"This paper summarizes the methods, results, and interpretation of analyses carried out between 2006 and 2015 at the Montaguto earth flow in southern Italy. We conducted a multi-temporal analysis of earth-flow  activity  to  reconstruct  the  morphological  and  structural  evolution  of  the  flow.  Data  from  field mapping were combined with a geometric reconstruction of the basal slip surface in order to investigate relations between basal-slip surface geometry and deformation styles of earth-flow material. Moreover, we reconstructed the long-term pattern of earth-flow movement using both historical observations and modeled hydrologic  and  climatic  data.  Hydrologic  and  climatic  data  were  used  to  develop  a  Landslide  Hydrological Climatological (LHC) indicator model.","largerWorkTitle":"Proceedings of the 12th International Symposium on Landslides","conferenceTitle":"12th International Symposium on Landslides","conferenceDate":"12-19 June 2016","conferenceLocation":"Napoli, Italy","language":"English","publisher":"CRC Press","doi":"10.1201/b21520-123","usgsCitation":"Guerriero, L., Revellino, R., Grelle, G., Diodato, N., Guadagno, F., and Coe, J.A., 2016, The Montaguto earth flow: nine years of observation and analysis, <i>in</i> Proceedings of the 12th International Symposium on Landslides, Napoli, Italy, 12-19 June 2016, p. 1035-1042, https://doi.org/10.1201/b21520-123.","productDescription":"8 p.","startPage":"1035","endPage":"1042","ipdsId":"IP-072568","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":332348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331456,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Landslides-and-Engineered-Slopes-Experience-Theory-and-Practice-Proceedings/Aversa-Cascini-Picarelli-Scavia/p/book/9781138029880"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-09","publicationStatus":"PW","scienceBaseUri":"585a51bee4b01224f329b5e9","contributors":{"authors":[{"text":"Guerriero, L.","contributorId":177147,"corporation":false,"usgs":false,"family":"Guerriero","given":"L.","affiliations":[],"preferred":false,"id":654853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revellino, R","contributorId":177169,"corporation":false,"usgs":false,"family":"Revellino","given":"R","email":"","affiliations":[],"preferred":false,"id":654854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grelle, G.","contributorId":177149,"corporation":false,"usgs":false,"family":"Grelle","given":"G.","affiliations":[],"preferred":false,"id":654855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diodato, N","contributorId":177170,"corporation":false,"usgs":false,"family":"Diodato","given":"N","email":"","affiliations":[],"preferred":false,"id":654856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guadagno, F.M.","contributorId":177171,"corporation":false,"usgs":false,"family":"Guadagno","given":"F.M.","affiliations":[],"preferred":false,"id":654857,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":654858,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171306,"text":"70171306 - 2016 - Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps","interactions":[],"lastModifiedDate":"2016-07-07T10:02:39","indexId":"70171306","displayToPublicDate":"2016-06-03T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps","docAbstract":"<p><span>The recent discovery of active methane venting along the US northern and mid-Atlantic margin represents a new source of global methane not previously accounted for in carbon budgets from this region. However, uncertainty remains as to the origin and history of methane seepage along this tectonically inactive passive margin. Here we present the first isotopic analyses of authigenic carbonates and methanotrophic deep-sea mussels,<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Bathymodiolus &nbsp;</i><span><span class=\"Apple-converted-space\">&nbsp;</span>sp., and the first direct constraints on the timing of past methane emission, based on samples collected at the upper slope Baltimore Canyon (&sim;385 m water depth) and deepwater Norfolk (&sim;1600 m) seep fields within the area of newly-discovered venting. The authigenic carbonates at both sites were dominated by aragonite, with an average<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi1\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si1.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=e4af81721271906e1d56932247b0631a\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X16302400-si1.gif\" alt=\"View the MathML source\" width=\"29\" height=\"13\" data-inlimgeid=\"1-s2.0-S0012821X16302400-si1.gif\" data-loaded=\"true\" /></a></span><span><span class=\"Apple-converted-space\">&nbsp;</span>signature of<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi2\" class=\"mathmlsrc\"><span class=\"formulatext stixSupport mathImg\" title=\"Click to view the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si2.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=712ebbd3a609aac7d57c411e11886f7b\">&minus;47&permil;</span></span><span>, a value consistent with microbially driven anaerobic oxidation of methane-rich fluids occurring at or near the sediment&ndash;water interface. Authigenic carbonate U and Sr isotope data further support the inference of carbonate precipitation from seawater-derived fluids rather than from formation fluids from deep aquifers. Carbonate stable and radiocarbon (</span><span id=\"mmlsi1\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si1.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=e4af81721271906e1d56932247b0631a\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X16302400-si1.gif\" alt=\"View the MathML source\" width=\"29\" height=\"13\" data-inlimgeid=\"1-s2.0-S0012821X16302400-si1.gif\" data-loaded=\"true\" /></a></span><span><span class=\"Apple-converted-space\">&nbsp;</span>and<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi4\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si4.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=c59326a458cb002bf0129ad1c69ded4e\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X16302400-si4.gif\" alt=\"View the MathML source\" width=\"33\" height=\"13\" data-inlimgeid=\"1-s2.0-S0012821X16302400-si4.gif\" data-loaded=\"true\" /></a></span><span>) isotope values from living<span class=\"Apple-converted-space\">&nbsp;</span></span><i>Bathymodiolus &nbsp;</i><span><span class=\"Apple-converted-space\">&nbsp;</span>sp. specimens are lighter than those of seawater dissolved inorganic carbon, highlighting the influence of fossil carbon from methane on carbonate precipitation. U&ndash;Th dates on authigenic carbonates suggest seepage at Baltimore Canyon between<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi5\" class=\"mathmlsrc\"><span class=\"formulatext stixSupport mathImg\" title=\"Click to view the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si5.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=87ff9092112a48f72be84c37fcf1c19f\">14.7&plusmn;0.6&nbsp;ka</span></span><span><span class=\"Apple-converted-space\">&nbsp;</span>to<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi6\" class=\"mathmlsrc\"><span class=\"formulatext stixSupport mathImg\" title=\"Click to view the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si6.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=29394fb7438735b2b6955bc24ea2e7f6\">15.7&plusmn;1.6&nbsp;ka</span></span><span>, and at the Norfolk seep field between<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi114\" class=\"mathmlsrc\"><span class=\"formulatext stixSupport mathImg\" title=\"Click to view the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si114.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=7d6150ecc589707a77e49048aa0b388c\">1.0&plusmn;0.7&nbsp;ka</span></span><span><span class=\"Apple-converted-space\">&nbsp;</span>to<span class=\"Apple-converted-space\">&nbsp;</span></span><span id=\"mmlsi8\" class=\"mathmlsrc\"><span class=\"formulatext stixSupport mathImg\" title=\"Click to view the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X16302400&amp;_mathId=si8.gif&amp;_user=111111111&amp;_pii=S0012821X16302400&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=be509822d85b96002e68d438d031e7dc\">3.3&plusmn;1.3&nbsp;ka</span></span><span>, providing constraint on the longevity of methane efflux at these sites. The age of the brecciated authigenic carbonates and the occurrence of pockmarks at the Baltimore Canyon upper slope could suggest a link between sediment delivery during Pleistocene sea-level lowstand, accumulation of pore fluid overpressure from sediment compaction, and release of overpressure through subsequent venting. Calculations show that the Baltimore Canyon site probably has not been within the gas hydrate stability zone (GHSZ) in the past 20 ka, meaning that in-situ release of methane from dissociating gas hydrate cannot be sustaining the seep. We cannot rule out updip migration of methane from dissociation of gas hydrate that occurs farther down the slope as a source of the venting at Baltimore Canyon, but consider that the history of rapid sediment accumulation and overpressure may play a more important role in methane emissions at this site.</span></p>","language":"English","publisher":"Elsevier BV","doi":"10.1016/j.epsl.2016.05.023","usgsCitation":"Prouty, N.G., Sahy, D., Ruppel, C., Roark, E., Condon, D., Brooke, S., Ross, S., and Demopoulos, A.W., 2016, Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps: Earth and Planetary Science Letters, v. 449, p. 332-344, https://doi.org/10.1016/j.epsl.2016.05.023.","productDescription":"13 p.","startPage":"332","endPage":"344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070389","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470913,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1398679","text":"Publisher Index Page"},{"id":322142,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Baltimore Canyon seep fields, Norfolk seep fields","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73,\n              36\n            ],\n            [\n              -73,\n              39\n            ],\n            [\n              -76,\n              39\n            ],\n            [\n              -76,\n              36\n            ],\n            [\n              -73,\n              36\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"449","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57529c1ae4b053f0edd0824c","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":630511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sahy, Diana","contributorId":169649,"corporation":false,"usgs":false,"family":"Sahy","given":"Diana","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":630513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":630519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roark, E. Brendan","contributorId":25464,"corporation":false,"usgs":true,"family":"Roark","given":"E. Brendan","affiliations":[],"preferred":false,"id":630512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Condon, Dan","contributorId":169651,"corporation":false,"usgs":false,"family":"Condon","given":"Dan","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":630518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooke, Sandra","contributorId":101570,"corporation":false,"usgs":true,"family":"Brooke","given":"Sandra","affiliations":[],"preferred":false,"id":630515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":630517,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"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":630516,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171548,"text":"70171548 - 2016 - Flexible characterization of animal movement pattern using net squared displacement and a latent state model","interactions":[],"lastModifiedDate":"2016-06-03T11:14:39","indexId":"70171548","displayToPublicDate":"2016-06-03T06:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Flexible characterization of animal movement pattern using net squared displacement and a latent state model","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Background</h5>\n<p id=\"Par1\" class=\"Para\">Characterizing the movement patterns of animals is an important step in understanding their ecology. Various methods have been developed for classifying animal movement at both coarse (e.g., migratory vs. sedentary behavior) and fine (e.g., resting vs. foraging) scales. A popular approach for classifying movements at coarse resolutions involves fitting time series of net-squared displacement (NSD) to models representing different conceptualizations of coarse movement strategies (i.e., migration, nomadism, sedentarism, etc.). However, the performance of this method in classifying actual (as opposed to simulated) animal movements has been mixed. Here, we develop a more flexible method that uses the same NSD input, but relies on an underlying discrete latent state model. Using simulated data, we first assess how well patterns in the number of transitions between modes of movement and the duration of time spent in a mode classify movement strategies. We then apply our approach to elucidate variability in the movement strategies of eight giant tortoises (<i class=\"EmphasisTypeItalic\">Chelonoidis</i>&nbsp;sp.) using a multi-year (2009&ndash;2014) GPS dataset from three different Galapagos Islands.</p>\n</div>\n<div id=\"ASec2\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Results</h5>\n<p id=\"Par2\" class=\"Para\">With respect to patterns of time spent and the number of transitions between modes, our approach out-performed previous efforts to distinguish among migration, dispersal, and sedentary behavior. We documented marked inter-individual variation in giant tortoise movement strategies, with behaviors indicating migration, dispersal, nomadism and sedentarism, as well as hybrid behaviors such as &ldquo;exploratory residence&rdquo;.</p>\n</div>\n<div id=\"ASec3\" class=\"AbstractSection\">\n<h5 class=\"Heading\">Conclusions</h5>\n<p id=\"Par3\" class=\"Para\">Distilling complex animal movement into discrete modes remains a fundamental challenge in movement ecology, a problem made more complex by the ever-longer duration, ever-finer resolution, and gap-ridden trajectories recorded by GPS devices. By clustering into modes, we derived information on the time spent within one mode and the number of transitions between modes which enabled finer differentiation of movement strategies over previous methods. Ultimately, the techniques developed here address limitations of previous approaches and provide greater insights with respect to characterization of movement strategies across scales by more fully utilizing long-term GPS telemetry datasets.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s40462-016-0080-y","usgsCitation":"Bastille-Rousseau, G., Potts, J., Yackulic, C.B., Frair, J.L., Ellington, H., and Blake, S., 2016, Flexible characterization of animal movement pattern using net squared displacement and a latent state model: Movement Ecology, v. 4, no. 15, 12 p., https://doi.org/10.1186/s40462-016-0080-y.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068586","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-016-0080-y","text":"Publisher Index Page"},{"id":322133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"15","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"57529c1ae4b053f0edd0823e","contributors":{"authors":[{"text":"Bastille-Rousseau, Guillaume","contributorId":169986,"corporation":false,"usgs":false,"family":"Bastille-Rousseau","given":"Guillaume","affiliations":[{"id":25645,"text":"State Uni. of New York","active":true,"usgs":false}],"preferred":false,"id":631729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Potts, Jonathan","contributorId":169987,"corporation":false,"usgs":false,"family":"Potts","given":"Jonathan","email":"","affiliations":[{"id":25646,"text":"Uni. of Sheffield","active":true,"usgs":false}],"preferred":false,"id":631730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":631728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frair, Jacqueline L.","contributorId":140184,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":13404,"text":"SUNY College of Environmental Science & Forestry","active":true,"usgs":false}],"preferred":false,"id":631731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellington, Hance","contributorId":169988,"corporation":false,"usgs":false,"family":"Ellington","given":"Hance","email":"","affiliations":[{"id":16985,"text":"Trent University & Iowa State University","active":true,"usgs":false}],"preferred":false,"id":631732,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Stephen","contributorId":65339,"corporation":false,"usgs":false,"family":"Blake","given":"Stephen","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false},{"id":30787,"text":"Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":631733,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169023,"text":"70169023 - 2016 - A new panel of SNP markers for the individual identification of North American pumas","interactions":[],"lastModifiedDate":"2016-06-24T11:40:19","indexId":"70169023","displayToPublicDate":"2016-06-03T03:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A new panel of SNP markers for the individual identification of North American pumas","docAbstract":"<div class=\"abstractSection\">\n<p class=\"last\">Pumas&nbsp;<i>Puma concolor</i>&nbsp;are one of the most studied terrestrial carnivores because of their widespread distribution, substantial ecological impacts, and conflicts with humans. Over the past decade, managing pumas has involved extensive efforts including the use of genetic methods. Microsatellites have been the most commonly used genetic markers; however, technical artifacts and little overlap of frequently used loci render large-scale comparison of puma genetic data across studies challenging. Therefore, a panel of genetic markers that can produce consistent genotypes across studies without the need for extensive calibrations is essential for range-wide genetic management of puma populations. Here, we describe the development of PumaPlex, a high-throughput assay to genotype 25 single nucleotide polymorphisms in pumas. We validated PumaPlex in 748 North American pumas&nbsp;<i>Puma concolor&nbsp;couguar,</i>&nbsp;and demonstrated its ability to generate reproducible genotypes and accurately identify individuals. Furthermore, in a test using fecal deoxyribonucleic acid (DNA) samples, we found that PumaPlex produced significantly more genotypes with fewer errors than 12 microsatellite loci, 8 of which are commonly used. Our results demonstrate that PumaPlex is a valuable tool for the genetic monitoring and management of North American puma populations. Given the analytical simplicity, reproducibility, and high-throughput capability of single nucleotide polymorphisms, PumaPlex provides a standard panel of markers that promotes the comparison of genotypes across studies and independent of the genotyping technology used.</p>\n<p>&nbsp;</p>\n</div>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/112014-JFWM-080","usgsCitation":"Fitak, R.R., Naidu, A., Thompson, R.W., and Culver, M., 2016, A new panel of SNP markers for the individual identification of North American pumas: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 13-27, https://doi.org/10.3996/112014-JFWM-080.","productDescription":"15 p.","startPage":"13","endPage":"27","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061034","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/112014-jfwm-080","text":"Publisher Index Page"},{"id":322135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-01","publicationStatus":"PW","scienceBaseUri":"57529c19e4b053f0edd08227","contributors":{"authors":[{"text":"Fitak, Robert R.","contributorId":169991,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false},{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":631751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naidu, Ashwin","contributorId":170000,"corporation":false,"usgs":false,"family":"Naidu","given":"Ashwin","email":"","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":631752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ron W.","contributorId":170001,"corporation":false,"usgs":false,"family":"Thompson","given":"Ron","email":"","middleInitial":"W.","affiliations":[{"id":24784,"text":"Arizona Game and Fish Department, 5000 West Carefree Highway, Phoenix, Arizona 85086, United States","active":true,"usgs":false}],"preferred":false,"id":631753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":622560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70171508,"text":"70171508 - 2016 - Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high-elevation tropical ecosystem","interactions":[],"lastModifiedDate":"2017-11-22T17:27:55","indexId":"70171508","displayToPublicDate":"2016-06-02T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high-elevation tropical ecosystem","docAbstract":"<p>Few high-elevation tropical catchments worldwide are gauged and even fewer are studied using combined hydrometric and isotopic data. Consequently, we lack information needed to understand processes governing rainfall-runoff dynamics and to predict their influence on downstream ecosystem functioning. To address this need, we present a combination of hydrometric and water stable isotopic observations in the wet Andean p&aacute;ramo ecosystem of the Zhurucay Ecohydrological Observatory (7.53 km2). The catchment is located in the Andes of south Ecuador between 3400 and 3900 m a.s.l. Water samples for stable isotopic analysis were collected during 2 years (May 2011 &ndash; May 2013), while rainfall and runoff measurements were continuously recorded since late 2010. The isotopic data reveal that Andosol soils predominantly situated on hillslopes drain laterally to Histosols (Andean p&aacute;ramo wetlands) mainly located at the valley bottom. Histosols, in turn, feed water to creeks and small rivers throughout the year, establishing hydrologic connectivity between wetlands and the drainage network. Runoff is primarily comprised of pre-event water stored in the Histosols, which is replenished by rainfall that infiltrates through the Andosols. Contributions from the mineral horizon and the top of the fractured bedrock are small and only seem to influence discharge in small catchments during low flow generation (non-exceedance flows &lt; Q35). Variations in source contributions are controlled by antecedent soil moisture, rainfall intensity, and duration of rainy periods. Saturated hydraulic conductivity of the soils, higher than the year-round low precipitation intensity, indicates that Hortonian overland flow rarely occurs during high intensity precipitation events. Deep groundwater contributions to discharge seem to be minimal. These results suggest that, in this high-elevation tropical ecosystem: 1) subsurface flow is a dominant hydrological process and 2) (Histosols) wetlands are the major source of stream runoff. Our study highlights that detailed isotopic characterization during short time periods provides valuable information about ecohydrological processes in regions where very few basins are gauged.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10927","usgsCitation":"Mosquera, G.M., Celleri, R., Lazo, P.X., Vache, K.B., Perakis, S.S., and Crespo, P., 2016, Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high-elevation tropical ecosystem: Hydrological Processes, v. 30, no. 17, p. 2930-2947, https://doi.org/10.1002/hyp.10927.","productDescription":"18 p.","startPage":"2930","endPage":"2947","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069702","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470917,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.10927","text":"External 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Cuenca","active":true,"usgs":false}],"preferred":false,"id":631528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazo, Patricio X","contributorId":169920,"corporation":false,"usgs":false,"family":"Lazo","given":"Patricio","email":"","middleInitial":"X","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vache, Kellie B","contributorId":169922,"corporation":false,"usgs":false,"family":"Vache","given":"Kellie","email":"","middleInitial":"B","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":631531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":631526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crespo, Patricio","contributorId":169921,"corporation":false,"usgs":false,"family":"Crespo","given":"Patricio","email":"","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631530,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70170801,"text":"ofr20121024M - 2016 - Geologic framework for the national assessment of carbon dioxide storage resources—Southern Rocky Mountain Basins: Chapter M in <i>Geologic framework for the national assessment of carbon dioxide storage resources</i>","interactions":[{"subject":{"id":70170801,"text":"ofr20121024M - 2016 - Geologic framework for the national assessment of carbon dioxide storage resources—Southern Rocky Mountain Basins: Chapter M in <i>Geologic framework for the national assessment of carbon dioxide storage resources</i>","indexId":"ofr20121024M","publicationYear":"2016","noYear":false,"chapter":"M","title":"Geologic framework for the national assessment of carbon dioxide storage resources—Southern Rocky Mountain Basins: Chapter M in <i>Geologic framework for the national assessment of carbon dioxide storage resources</i>"},"predicate":"IS_PART_OF","object":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"id":1}],"isPartOf":{"id":70093199,"text":"ofr20121024 - 2012 - Geologic framework for the national assessment of carbon dioxide storage resources","indexId":"ofr20121024","publicationYear":"2012","noYear":false,"title":"Geologic framework for the national assessment of carbon dioxide storage resources"},"lastModifiedDate":"2023-06-16T15:51:58.652747","indexId":"ofr20121024M","displayToPublicDate":"2016-06-02T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-1024","chapter":"M","title":"Geologic framework for the national assessment of carbon dioxide storage resources—Southern Rocky Mountain Basins: Chapter M in <i>Geologic framework for the national assessment of carbon dioxide storage resources</i>","docAbstract":"<p><i></i>The U.S. Geological Survey has completed an assessment of the potential geologic carbon dioxide storage resources in the onshore areas of the United States. To provide geological context and input data sources for the resources numbers, framework documents are being prepared for all areas that were investigated as part of the national assessment. This report, chapter M, is the geologic framework document for the Uinta and Piceance, San Juan, Paradox, Raton, Eastern Great, and Black Mesa Basins, and subbasins therein of Arizona, Colorado, Idaho, Nevada, New Mexico, and Utah. In addition to a summary of the geology and petroleum resources of studied basins, the individual storage assessment units (SAUs) within the basins are described and explanations for their selection are presented. Although appendixes in the national assessment publications include the input values used to calculate the available storage resource, this framework document provides only the context and source of the input values selected by the assessment geologists. Spatial-data files of the boundaries for the SAUs, and the well-penetration density of known well bores that penetrate the SAU seal, are available for download with the release of this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20121024M","usgsCitation":"Merrill, M.D., Drake, R.M., II, Buursink, M.L., Craddock, W.H., East, J.A., Slucher, E.R., Warwick, P.D., Brennan, S.T., Blondes, M.S., Freeman, P.A., Cahan, S.M., DeVera, C.A., and Lohr, C.D., 2016, Geologic framework for the national assessment of carbon dioxide storage resources—Southern Rocky Mountain Basins, chap. M <i>of</i> Warwick, P.D., and Corum, M.D., eds., Geologic framework for the national assessment of carbon dioxide storage resources: U.S. Geological Survey Open-File Report 2012–1024–M, 59 p., at https://dx.doi.org/10.3133/ofr20121024M.","productDescription":"Report: viii, 60 p.; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056759","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":322007,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20121024","text":"Geologic Framework for the National Assessment of Carbon Dioxide Storage Resources","linkHelpText":"- (Main Report)"},{"id":322003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2012/1024/m/coverthb.jpg"},{"id":322005,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/m/downloads/ofr2012-1024m_storage-assessment-units.zip","text":"Storage Assessment Units","size":"478 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2012-1024m"},{"id":322004,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2012/1024/m/ofr20121024m.pdf","text":"Report","size":"79.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2012-1024m"},{"id":322006,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2012/1024/m/downloads/ofr2012-1024m_well-density.zip","text":"Well Density","size":"753 KB","linkFileType":{"id":6,"text":"zip"},"description":"OFR 2012-1024m"}],"country":"United States","state":"Arizona, Colorado, Idaho, Nevada, New Mexico, Utah","otherGeospatial":"Uinta Basin, Piceance Basin, San Juan Basin, Paradox Basin, Raton Basin, Eastern Great Basin, Black Mesa Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.59765625,\n              33.358061612778876\n            ],\n            [\n              -117.59765625,\n              44.96479793033104\n            ],\n            [\n              -103.18359375,\n              44.96479793033104\n            ],\n            [\n              -103.18359375,\n              33.358061612778876\n            ],\n            [\n              -117.59765625,\n              33.358061612778876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Energy Resources Program<br /> 12201 Sunrise Valley Drive<br /> 913 National Center<br /> Reston, VA 20192<br /> Email: <a href=\"mailto:gd-energyprogram@usgs.gov\">gd-energyprogram@usgs.gov</a><br /> <a href=\"http://energy.usgs.gov/GeneralInfo/AbouttheEnergyProgram.aspx\"><br /> http://energy.usgs.gov/GeneralInfo/<br />AbouttheEnergyProgram.aspx</a></p>","tableOfContents":"<ul>\n<li>Editors&rsquo; Preface</li>\n<li>References Cited&nbsp;</li>\n<li>Conversion Factors&nbsp;</li>\n<li>Abbreviations</li>\n<li>Abstract</li>\n<li>Report Overview&nbsp;</li>\n<li>Uinta and Piceance Basins</li>\n<li>Paradox Basin</li>\n<li>San Juan Basin</li>\n<li>Eastern Great Basin&nbsp;</li>\n<li>Raton Basin</li>\n<li>Black Mesa Basin</li>\n<li>Acknowledgments</li>\n<li>References Cited&nbsp;</li>\n</ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9ce4b053f0edd0175a","contributors":{"editors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":631244,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Corum, M.D. 0000-0002-9038-3935 mcorum@usgs.gov","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":2249,"corporation":false,"usgs":true,"family":"Corum","given":"M.D.","email":"mcorum@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":631245,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Merrill, Matthew D. 0000-0003-3766-847X mmerrill@usgs.gov","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":169111,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew","email":"mmerrill@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":628473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drake, Ronald M. II rmdrake@usgs.gov","contributorId":168352,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","email":"rmdrake@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":628475,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buursink, Marc L. 0000-0001-6491-386X mbuursink@usgs.gov","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":3362,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc","email":"mbuursink@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":628474,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Craddock, William H. 0000-0002-4181-4735 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,{"id":70270642,"text":"70270642 - 2016 - Geometric quality assessment of lidar data based on swath overlap","interactions":[],"lastModifiedDate":"2025-08-21T15:16:44.549768","indexId":"70270642","displayToPublicDate":"2016-06-02T10:00:54","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geometric quality assessment of lidar data based on swath overlap","docAbstract":"<p><span>This paper provides guidelines on quantifying the relative horizontal and vertical errors observed between conjugate features in the overlapping regions of lidar data. The quantification of these errors is important because their presence quantifies the geometric quality of the data. A data set can be said to have good geometric quality if measurements of identical features, regardless of their position or orientation, yield identical results. Good geometric quality indicates that the data are produced using sensor models that are working as they are mathematically designed, and data acquisition processes are not introducing any unforeseen distortion in the data. High geometric quality also leads to high geolocation accuracy of the data when the data acquisition process includes coupling the sensor with geopositioning systems. Current specifications (e.g. Heidemann 2014) do not provide adequate means to quantitatively measure these errors, even though they are required to be reported. Current accuracy measurement and reporting practices followed in the industry and as recommended by data specification documents also potentially underestimate the inter-swath errors, including the presence of systematic errors in lidar data. Hence they pose a risk to the user in terms of data acceptance (i.e. a higher potential for Type II error indicating risk of accepting potentially unsuitable data). For example, if the overlap area is too small or if the sampled locations are close to the center of overlap, or if the errors are sampled in flat regions when there are residual pitch errors in the data, the resultant Root Mean Square Differences (RMSD) can still be small. To avoid this, the following are suggested to be used as criteria for defining the inter-swath quality of data:</span><br><br><span>a) Median Discrepancy Angle</span><br><br><span>b) Mean and RMSD of Horizontal Errors using DQM measured on sloping surfaces</span><br><br><span>c) RMSD for sampled locations from flat areas (defined as areas with less than 5 degrees of slope)</span><br><br><span>It is suggested that 4000-5000 points are uniformly sampled in the overlapping regions of the point cloud, and depending on the surface roughness, to measure the discrepancy between swaths. Care must be taken to sample only areas of single return points only. Point-to-Plane distance based data quality measures are determined for each sample point. These measurements are used to determine the above mentioned parameters. This paper details the measurements and analysis of measurements required to determine these metrics, i.e. Discrepancy Angle, Mean and RMSD of errors in flat regions and horizontal errors obtained using measurements extracted from sloping regions (slope greater than 10 degrees). The research is a result of an ad-hoc joint working group of the US Geological Survey and the American Society for Photogrammetry and Remote Sensing (ASPRS) Airborne Lidar Committee.</span></p>","conferenceTitle":"XXIII ISPRS Congress","conferenceDate":"July 12-19, 2016","conferenceLocation":"Prague, Czech Republic","language":"English","publisher":"ISPRS","doi":"10.5194/isprs-archives-XLI-B1-93-2016","usgsCitation":"Sampath, A., Heidemann, H.K., and Stensaas, G.L., 2016, Geometric quality assessment of lidar data based on swath overlap, XXIII ISPRS Congress, Prague, Czech Republic, July 12-19, 2016, p. 93-99, https://doi.org/10.5194/isprs-archives-XLI-B1-93-2016.","productDescription":"7 p.","startPage":"93","endPage":"99","ipdsId":"IP-075216","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494462,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xli-b1-93-2016","text":"Publisher Index Page"},{"id":494385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sampath, Aparajithan 0000-0002-6922-4913 asampath@usgs.gov","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":3622,"corporation":false,"usgs":true,"family":"Sampath","given":"Aparajithan","email":"asampath@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":946733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heidemann, Hans K. 0000-0003-4306-359X","orcid":"https://orcid.org/0000-0003-4306-359X","contributorId":17171,"corporation":false,"usgs":true,"family":"Heidemann","given":"Hans","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":946760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stensaas, Gregory L. 0000-0001-6679-2416 stensaas@usgs.gov","orcid":"https://orcid.org/0000-0001-6679-2416","contributorId":2551,"corporation":false,"usgs":true,"family":"Stensaas","given":"Gregory","email":"stensaas@usgs.gov","middleInitial":"L.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":946761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170859,"text":"sir20165028 - 2016 - Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013","interactions":[],"lastModifiedDate":"2017-01-18T13:23:48","indexId":"sir20165028","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","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":"2016-5028","title":"Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013","docAbstract":"<p>Two test wells were completed at the Barbour Pointe community in western Chatham County, near Savannah, Georgia, in 2013 to investigate the potential of using the Lower Floridan aquifer as a source of municipal water supply. One well was completed in the Lower Floridan aquifer at a depth of 1,080 feet (ft) below land surface; the other well was completed in the Upper Floridan aquifer at a depth of 440 ft below land surface. At the Barbour Pointe test site, the U.S. Geological Survey completed electromagnetic (EM) flowmeter surveys, collected and analyzed water samples from discrete depths, and completed a 72-hour aquifer test of the Floridan aquifer system withdrawing from the Lower Floridan aquifer.</p><p>Based on drill cuttings, geophysical logs, and borehole EM flowmeter surveys collected at the Barbour Pointe test site, the Upper Floridan aquifer extends 369 to 567 ft below land surface, the middle semiconfining unit, separating the two aquifers, extends 567 to 714 ft below land surface, and the Lower Floridan aquifer extends 714 to 1,056 ft below land surface.</p><p>A borehole EM flowmeter survey indicates that the Upper Floridan and Lower Floridan aquifers each contain four water-bearing zones. The EM flowmeter logs of the test hole open to the entire Floridan aquifer system indicated that the Upper Floridan aquifer contributed 91 percent of the total flow rate of 1,000 gallons per minute; the Lower Floridan aquifer contributed about 8 percent. Based on the transmissivity of the middle semiconfining unit and the Floridan aquifer system, the middle semiconfining unit probably contributed on the order of 1 percent of the total flow.</p><p>Hydraulic properties of the Upper Floridan and Lower Floridan aquifers were estimated based on results of the EM flowmeter survey and a 72-hour aquifer test completed in Lower Floridan aquifer well 36Q398. The EM flowmeter data were analyzed using an AnalyzeHOLE-generated model to simulate upward borehole flow and determine the transmissivity of water-bearing zones. Aquifer-test data were analyzed with a two-dimensional, axisymmetric, radial, transient, groundwater-flow model using MODFLOW–2005. The flowmeter-survey and aquifer-test simulations provided an estimated transmissivity of about 60,000 square feet per day for the Upper Floridan aquifer and about 5,000 square feet per day for the Lower Floridan aquifer.</p><p>Water in discrete-depth samples collected from the Upper Floridan aquifer, middle semiconfining unit, and Lower Floridan aquifer during the EM flowmeter survey in August 2013 was low in dissolved solids. Tested constituents were in concentrations within established U.S. Environmental Protection Agency drinking water-quality criteria. Concentrations of measured constituents in water samples from Lower Floridan aquifer well 36Q398 collected at the end of the 72-hour aquifer test in November 2013 were generally higher than in the discrete-depth samples collected during EM flowmeter testing in August 2013 but remained within established drinking water-quality criteria.</p><p>Water-level data for the aquifer test were filtered for external influences such as barometric pressure, earth-tide effects, and long-term trends to enable detection of small (less than 1 ft) water-level responses to aquifer-test withdrawal. During the 72-hour aquifer test, the Lower Floridan aquifer was pumped at a rate of 750 gallons per minute resulting in a drawdown response of 35.5 ft in the pumped well; 1.6 ft in the Lower Floridan aquifer observation well located about 6,000 ft west of the pumped well; and responses of 0.7, 0.6, and 0.4 ft in the Upper Floridan aquifer observation wells located about 36 ft, 6,000 ft, and 6,800 ft from the pumped well, respectively</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165028","collaboration":"Prepared in cooperation with Consolidated Utilities LLC, Chatham County, Georgia","usgsCitation":"Gonthier, G.J., and Clarke, J.S., 2016, Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013: U.S. Geological Survey Scientific Investigations Report 2016–5028, 56 p., https://dx.doi.org/10.3133/sir20165028.","productDescription":"viii, 56 p.","startPage":"1","endPage":"56","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045188","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":321737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5028/coverthb.jpg"},{"id":321738,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5028/sir20165028.pdf","text":"Report","size":"1.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR  2016–5028"}],"country":"United States","state":"Georgia","county":"Chatham County","city":"Savannah","otherGeospatial":"Barbour Pointe Community","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.75,\n              32.25\n            ],\n            [\n              -80.75,\n              31.75\n            ],\n            [\n              -81.75,\n              31.75\n            ],\n            [\n              -81.75,\n              32.25\n            ],\n            [\n              -80.75,\n              32.25\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Georgia Water Science Center<br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, Georgia 30093</p><p><a href=\"http://ga.water.usgs.gov/\" data-mce-href=\"http://ga.water.usgs.gov/\">http://ga.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeology and Water Quality of the Floridan Aquifer System</li><li>Effect of Lower Floridan Aquifer Withdrawals on the Upper Floridan Aquifer</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1—Estimation of Hydraulic Properties and Drawdown Response</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9de4b053f0edd01764","contributors":{"authors":[{"text":"Gonthier, Gerard  0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":628841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":628842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169115,"text":"ofr20161038 - 2016 - A software tool for rapid flood inundation mapping","interactions":[],"lastModifiedDate":"2017-01-18T09:18:07","indexId":"ofr20161038","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1038","title":"A software tool for rapid flood inundation mapping","docAbstract":"<p>The GIS Flood Tool (GFT) was developed by the U.S. Geological Survey with support from the U.S. Agency for International Development’s Office of U.S. Foreign Disaster Assistance to provide a means for production of reconnaissance-level flood inundation mapping for data-sparse and resource-limited areas of the world. The GFT has also attracted interest as a tool for rapid assessment flood inundation mapping for the Flood Inundation Mapping Program of the U.S. Geological Survey. The GFT can fill an important gap for communities that lack flood inundation mapping by providing a first-estimate of inundation zones, pending availability of resources to complete an engineering study. The tool can also help identify priority areas for application of scarce flood inundation mapping resources. The technical basis of the GFT is an application of the Manning equation for steady flow in an open channel, operating on specially processed digital elevation data. The GFT is implemented as a software extension in ArcGIS. Output maps from the GFT were validated at 11 sites with inundation maps produced previously by the Flood Inundation Mapping Program using standard one-dimensional hydraulic modeling techniques. In 80 percent of the cases, the GFT inundation patterns matched 75 percent or more of the one-dimensional hydraulic model inundation patterns. Lower rates of pattern agreement were seen at sites with low relief and subtle surface water divides. Although the GFT is simple to use, it should be applied with the oversight or review of a qualified hydraulic engineer who understands the simplifying assumptions of the approach.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161038","collaboration":"Prepared in cooperation with the U.S. Agency for International Development, Office of U.S. Foreign Disaster Assistance (USAID/OFDA)","usgsCitation":"Verdin, James; Verdin, Kristine; Mathis, Melissa; Magadzire, Tamuka; Kabuchanga, Eric; Woodbury, Mark; and Gadain, Hussein, 2016, A software tool for rapid flood inundation mapping: U.S. Geological Survey Open-File Report 2016–1038, 26 p., https://dx.doi.org/10.3133/ofr20161038.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055868","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":322105,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1038/ofr20161038.pdf","text":"Report","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1038"},{"id":322104,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1038/coverthb.jpg"}],"contact":"<p>Director, Earth Resources Observation and Science (EROS) Center<br>U.S. Geological Survey<br>47914 252nd Street <br>Sioux Falls, South Dakota 57198</p><p><a href=\"http://eros.usgs.gov/\" data-mce-href=\"http://eros.usgs.gov/\">http://eros.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Acknowledgments</li>\n<li>Abstract</li>\n<li>Introduction</li>\n<li>Background</li>\n<li>GIS Flood Tool Concepts</li>\n<li>Software Tools</li>\n<li>Elevation Data</li>\n<li>Software Validation</li>\n<li>Applications of the GIS Flood Tool Software</li>\n<li>Technical Considerations</li>\n<li>Summary and Conclusions</li>\n<li>References Cited</li>\n</ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9ae4b053f0edd0174b","contributors":{"authors":[{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":623038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, Kristine 0000-0002-6114-4660","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":22067,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","affiliations":[],"preferred":false,"id":623039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathis, Melissa L. 0000-0003-4967-4770 mlmathis@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-4770","contributorId":5461,"corporation":false,"usgs":true,"family":"Mathis","given":"Melissa","email":"mlmathis@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":623040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magadzire, Tamuka","contributorId":145822,"corporation":false,"usgs":false,"family":"Magadzire","given":"Tamuka","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":623041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kabuchanga, Eric","contributorId":167657,"corporation":false,"usgs":false,"family":"Kabuchanga","given":"Eric","email":"","affiliations":[{"id":24791,"text":"Regional Center for Mapping of Resources for Development (RCMRD), Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":623042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodbury, Mark","contributorId":167658,"corporation":false,"usgs":false,"family":"Woodbury","given":"Mark","email":"","affiliations":[{"id":24792,"text":"Riverside Technology Incorporated, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":623043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gadain, Hussein","contributorId":6255,"corporation":false,"usgs":true,"family":"Gadain","given":"Hussein","email":"","affiliations":[],"preferred":false,"id":623044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160311,"text":"70160311 - 2016 - A fault-based model for crustal deformation, fault slip-rates and off-fault strain rate in California","interactions":[],"lastModifiedDate":"2016-06-01T13:34:44","indexId":"70160311","displayToPublicDate":"2016-06-01T14:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A fault-based model for crustal deformation, fault slip-rates and off-fault strain rate in California","docAbstract":"<p><span>We invert Global Positioning System (GPS) velocity data to estimate fault slip rates in California using a fault‐based crustal deformation model with geologic constraints. The model assumes buried elastic dislocations across the region using Uniform California Earthquake Rupture Forecast Version 3 (UCERF3) fault geometries. New GPS velocity and geologic slip‐rate data were compiled by the UCERF3 deformation working group. The result of least‐squares inversion shows that the San Andreas fault slips at 19&ndash;22&thinsp;&thinsp;mm/yr along Santa Cruz to the North Coast, 25&ndash;28&thinsp;&thinsp;mm/yr along the central California creeping segment to the Carrizo Plain, 20&ndash;22&thinsp;&thinsp;mm/yr along the Mojave, and 20&ndash;24&thinsp;&thinsp;mm/yr along the Coachella to the Imperial Valley. Modeled slip rates are 7&ndash;16&thinsp;&thinsp;mm/yr lower than the preferred geologic rates from the central California creeping section to the San Bernardino North section. For the Bartlett Springs section, fault slip rates of 7&ndash;9&thinsp;&thinsp;mm/yr fall within the geologic bounds but are twice the preferred geologic rates. For the central and eastern Garlock, inverted slip rates of 7.5 and 4.9&thinsp;&thinsp;mm/yr, respectively, match closely with the geologic rates. For the western Garlock, however, our result suggests a low slip rate of 1.7&thinsp;&thinsp;mm/yr. Along the eastern California shear zone and southern Walker Lane, our model shows a cumulative slip rate of 6.2&ndash;6.9&thinsp;&thinsp;mm/yr across its east&ndash;west transects, which is &sim;1&thinsp;&thinsp;mm/yr increase of the geologic estimates. For the off‐coast faults of central California, from Hosgri to San Gregorio, fault slips are modeled at 1&ndash;5&thinsp;&thinsp;mm/yr, similar to the lower geologic bounds. For the off‐fault deformation, the total moment rate amounts to 0.88&times;10</span><sup><span>19</span></sup><span>&thinsp;&thinsp;N&middot;m/yr, with fast straining regions found around the Mendocino triple junction, Transverse Ranges and Garlock fault zones, Landers and Brawley seismic zones, and farther south. The overall California moment rate is 2.76&times;10</span><sup><span>19</span></sup><span>&thinsp;&thinsp;N&middot;m/yr, which is a 16% increase compared with the UCERF2 model.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120140250","usgsCitation":"Zeng, Y., and Shen, Z., 2016, A fault-based model for crustal deformation, fault slip-rates and off-fault strain rate in California: Bulletin of the Seismological Society of America, v. 106, no. 2, p. 766-784, https://doi.org/10.1785/0120140250.","productDescription":"19 p.","startPage":"766","endPage":"784","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071033","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":322021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-15","publicationStatus":"PW","scienceBaseUri":"574ff91ae4b0ee97d51af4c9","contributors":{"authors":[{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":582499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shen, Zheng-Kang","contributorId":145691,"corporation":false,"usgs":false,"family":"Shen","given":"Zheng-Kang","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":582500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70170066,"text":"pp1826 - 2016 - Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska","interactions":[],"lastModifiedDate":"2022-04-22T14:21:36.662288","indexId":"pp1826","displayToPublicDate":"2016-06-01T09:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1826","title":"Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska","docAbstract":"<p>This assessment was conducted to fulfill the requirements of section 712 of the Energy Independence and Security Act of 2007 and to contribute to knowledge of the storage, fluxes, and balance of carbon and methane gas in ecosystems of Alaska. The carbon and methane variables were examined for major terrestrial ecosystems (uplands and wetlands) and inland aquatic ecosystems in Alaska in two time periods: baseline (from 1950 through 2009) and future (projections from 2010 through 2099). The assessment used measured and observed data and remote sensing, statistical methods, and simulation models. The national assessment, conducted using the methodology described in SIR 2010-5233, has been completed for the conterminous United States, with results provided in three separate regional reports (PP 1804, PP 1797, and PP 1897).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1826","usgsCitation":"Zhu, Zhiliang, and McGuire, A.D., eds., 2016, Baseline and projected future carbon storage and greenhouse-gas fluxes in ecosystems of Alaska: U.S. Geological Survey Professional Paper 1826, 196 p., https://dx.doi.org/10.3133/pp1826.","productDescription":"Report: viii, 196 p.","numberOfPages":"208","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-066384","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":320417,"rank":18,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20105233","text":"Scientific Investigations Report 2010-5233","linkHelpText":"- A Method for Assessing Carbon Stocks, Carbon Sequestration, and Greenhouse-Gas Fluxes in Ecosystems of the United States Under Present Conditions and Future Scenarios"},{"id":320416,"rank":17,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1787","text":"Professional Paper 1787","linkHelpText":"- Baseline and Projected Future Carbon Storage and Greenhouse-Gas Fluxes in the Great Plains Region of the United States"},{"id":320415,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1797","text":"Professional Paper 1797","linkHelpText":"- Baseline and Projected Future Carbon Storage and Greenhouse-Gas Fluxes in Ecosystems of the Western United States"},{"id":320414,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/pp1804","text":"Professional Paper 1804","linkHelpText":"- Baseline and Projected Future Carbon Storage and Greenhouse-Gas Fluxes in Ecosystems of the Eastern United States"},{"id":334983,"rank":19,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7SB43X2","text":"Alaska LandCarbon Wetland Distribution Map"},{"id":320412,"rank":14,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter9.pdf","text":"Chapter 9. Alaska Carbon Balance","size":"201 KB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By A. David McGuire, Hélène Genet, Yujie He, Sarah Stackpoole, David V. D’Amore, T. Scott Rupp, Bruce K. Wylie, Xiaoping Zhou, and Zhiliang Zhu"},{"id":320411,"rank":13,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter8.pdf","text":"Chapter 8. Carbon Transport, Emission, and Burial From Inland Aquatic Ecosystems in Alaska","size":"4.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By Sarah Stackpoole, David Butman, David Clow, Kris Verdin, Ben Gaglioti, and Robert Striegl"},{"id":320410,"rank":12,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter7.pdf","text":"Chapter 7. Terrestrial Carbon Modeling: Baseline and Projections in Lowland Ecosystems of Alaska","size":"2.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By Yujie He, Hélène Genet, A. David McGuire, Qianlai Zhuang, Bruce K. Wylie, and Yujin Zhang"},{"id":320409,"rank":11,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter6.pdf","text":"Chapter 6. Terrestrial Carbon Modeling: Baseline and Projections in Upland Ecosystems of Alaska","size":"1.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By Hélène Genet, Yujie He, A. David McGuire, Qianlai Zhuang, Yujin Zhang, Frances E. Biles, David V. D’Amore, Xiaoping Zhou, and Kristopher D. Johnson"},{"id":320408,"rank":10,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter5.pdf","text":"Chapter 5. 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Wylie, Neal J. Pastick, Kristopher D. Johnson, Norman Bliss, and Hélène Genet"},{"id":320403,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter2.pdf","text":"Chapter 2. Climate Scenarios, Land Cover, and Wildfire in Alaska","size":"1.41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By T. Scott Rupp, Paul Duffy, Matthew Leonawicz, Michael Lindgren, Amy Breen, Tom Kurkowski, Angelica Floyd, Alec Bennett, and Lena Krutikov"},{"id":320400,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_chapter1.pdf","text":"Chapter 1. Introduction","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br>By A. David McGuire, T. Scott Rupp, Tom Kurkowski, and Sarah Stackpoole"},{"id":320399,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1826/pp1826_executivesummary.pdf","text":"Executive Summary—Baseline and Projected Future Carbon Storage and Greenhouse-Gas Fluxes in Ecosystems of Alaska","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1826","linkHelpText":"<br> By A. David McGuire, Bruce K. Wylie, David V. D’Amore, Xiaoping Zhou, T. 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David","contributorId":18494,"corporation":false,"usgs":true,"family":"McGuire","given":"A. David","affiliations":[],"preferred":false,"id":627458,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70170569,"text":"70170569 - 2016 - One thousand years of fires: Integrating proxy and model data","interactions":[],"lastModifiedDate":"2020-12-17T21:13:58.236532","indexId":"70170569","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5093,"text":"Frontiers of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"One thousand years of fires: Integrating proxy and model data","docAbstract":"<p>The current fires raging across Indonesia are emitting more carbon than the annual fossil fuel emissions of Germany or Japan, and the fires are still consuming vast tracts of rainforest and peatlands. The National Interagency Fire Center (www.nifc.gov) notes that 2015 is one worst fire years on record in the U.S., where more than 9 million acres burned -- equivalent to the combined size of Massachusetts and New Jersey. The U.S. and Indonesian fires have already displaced tens of thousands of people, and their impacts on ecosystems are still unclear. In the case of Indonesia, the burning peat is destroying much of the existing soil, with unknown implications for the type of vegetation regrowth. Such large fires result from a combination of fire management practices, increasing anthropogenic land use, and a changing climate.</p>\n<p>The expected increase in fire activity in the upcoming decades has led to a surge in research trying to understand their causes, the factors that may have influenced similar times of fire activity in the past, and the implications of such fire activity in the future. Multiple types of complementary data provide information on the impacts of current fires and the extent of past fires. The wide array of data encompasses different spatial and temporal resolutions (Figure 1) and includes fire proxy information such as charcoal and tree ring fire scars, observational records, satellite products, modern emissions data, fire models within global land cover and vegetation models, and sociodemographic data for modeling past human land use and ignition frequency. Any single data type is more powerful when combined with another source of information. Merging model and proxy data enables analyses of how fire activity modifies vegetation distribution, air and water quality, and proximity to cities; these analyses in turn support land management decisions relating to conservation and development.</p>","language":"English","publisher":"University of California","doi":"10.21425/F5FBG29606","usgsCitation":"Kehrwald, N.M., Aleman, J.C., Coughlan, M., Courtney Mustaphi, C.J., Githumbi, E.N., Magi, B.I., Marlon, J.R., and Power, M.J., 2016, One thousand years of fires: Integrating proxy and model data: Frontiers of Biogeography, v. 8, no. 1, e29606; 7 p., https://doi.org/10.21425/F5FBG29606.","productDescription":"e29606; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071529","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470953,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21425/f5fbg29606","text":"Publisher Index Page"},{"id":324105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-28","publicationStatus":"PW","scienceBaseUri":"576a6546e4b07657d1a11e4c","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":627693,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleman, Julie C.","contributorId":168919,"corporation":false,"usgs":false,"family":"Aleman","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":25389,"text":"Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":627694,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coughlan, Michael","contributorId":168920,"corporation":false,"usgs":false,"family":"Coughlan","given":"Michael","email":"","affiliations":[{"id":25390,"text":"Department of Anthropology, University of Georgia, Athens, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":627695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Courtney Mustaphi, Colin J.","contributorId":168921,"corporation":false,"usgs":false,"family":"Courtney Mustaphi","given":"Colin","email":"","middleInitial":"J.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Githumbi, Esther N.","contributorId":168922,"corporation":false,"usgs":false,"family":"Githumbi","given":"Esther","email":"","middleInitial":"N.","affiliations":[{"id":25391,"text":"York Institute for Tropical Ecosystems, Environment Department, University of York, York, UK","active":true,"usgs":false}],"preferred":false,"id":627697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magi, Brian I.","contributorId":168923,"corporation":false,"usgs":false,"family":"Magi","given":"Brian","email":"","middleInitial":"I.","affiliations":[{"id":25392,"text":"Department of Geography and Earth Science, University of North Carolina at Charlotte, North Carolina, USA","active":true,"usgs":false}],"preferred":false,"id":627698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marlon, Jennifer R.","contributorId":23432,"corporation":false,"usgs":true,"family":"Marlon","given":"Jennifer","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":627699,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Power, Mitchell J.","contributorId":79032,"corporation":false,"usgs":true,"family":"Power","given":"Mitchell","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":627700,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187275,"text":"70187275 - 2016 - Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","interactions":[],"lastModifiedDate":"2017-04-28T10:58:17","indexId":"70187275","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest","docAbstract":"<p><span>The listing of the northern long-eared bat (</span><i><i>Myotis septentrionalis</i></i><span>) as federally threatened under the Endangered Species Act following severe population declines from white-nose syndrome presents considerable challenges to natural resource managers. Because the northern long-eared bat is a forest habitat generalist, development of effective conservation measures will depend on appropriate understanding of its habitat relationships at individual locations. However, severely reduced population sizes make gathering data for such models difficult. As a result, historical data may be essential in development of habitat models. To date, there has been little evaluation of how effective historical bat presence data, such as data derived from mist-net captures, acoustic detection, and day-roost locations, may be in developing habitat models, nor is it clear how models created using different data sources may differ. We explored this issue by creating presence probability models for the northern long-eared bat on the Fernow Experimental Forest in the central Appalachian Mountains of West Virginia using a historical, presence-only data set. Each presence data type produced outputs that were dissimilar but that still corresponded with known traits of the northern long-eared bat or are easily explained in the context of the particular data collection protocol. However, our results also highlight potential limitations of individual data types. For example, models from mist-net capture data only showed high probability of presence along the dendritic network of riparian areas, an obvious artifact of sampling methodology. Development of ecological niche and presence models for northern long-eared bat populations could be highly valuable for resource managers going forward with this species. We caution, however, that efforts to create such models should consider the substantial limitations of models derived from historical data, and address model assumptions.</span></p>","language":"English","publisher":"Scientific Journals","doi":"10.3996/012015-JFWM-004","usgsCitation":"Ford, W.M., Silvis, A., Rodrigue, J.L., Kniowski, A.B., and Johnson, J.B., 2016, Deriving habitat models for northern long-eared bats from historical detection data: A case study using the Fernow Experimental Forest: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 86-98, https://doi.org/10.3996/012015-JFWM-004.","productDescription":"13 p.","startPage":"86","endPage":"98","ipdsId":"IP-062420","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470949,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3996/012015-jfwm-004","text":"External Repository"},{"id":340601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Fernow Experimental Forest","volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-01","publicationStatus":"PW","scienceBaseUri":"590454a4e4b022cee40dc23c","contributors":{"authors":[{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":693456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kniowski, Andrew B.","contributorId":191558,"corporation":false,"usgs":false,"family":"Kniowski","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Joshua B.","contributorId":171598,"corporation":false,"usgs":false,"family":"Johnson","given":"Joshua","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":693459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188788,"text":"70188788 - 2016 - Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","interactions":[],"lastModifiedDate":"2017-06-23T15:37:06","indexId":"70188788","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes","docAbstract":"<p><span>Stratigraphic, sedimentologic (including CT 3D X-ray tomography scans), foraminiferal, and radiocarbon analyses show that at least six of seven abrupt peat-to-mud contacts in cores from a tidal marsh at Talbot Creek (South Slough, Coos Bay), record sudden subsidence (relative sea-level rise) during great megathrust earthquakes at the Cascadia subduction zone. Data for one contact are insufficient to infer whether or not it records a great earthquake—it may also have formed through local, non-seismic, hydrographic processes. To estimate the amount of subsidence marked by each contact, we expanded a previous regional modern foraminiferal dataset to 174 samples from six Oregon estuaries. Using a transfer function derived from the new dataset, estimates of coseismic subsidence across the six earthquake contacts vary from 0.31&nbsp;m to 0.75&nbsp;m. Comparison of subsidence estimates for three contacts in adjacent cores shows within-site differences of ≤0.10&nbsp;m, about half the ±0.22&nbsp;m error, although some estimates may be minimums due to uncertain ecological preferences for </span><i>Balticammina pseudomacrescens</i><span> in brackish environments and almost monospecific assemblages of </span><i>Miliammina fusca</i><span> on tidal flats. We also account for the influence of taphonomic processes, such as infiltration of mud with mixed foraminiferal assemblages into peat, on subsidence estimates. Comparisons of our subsidence estimates with values for correlative contacts at other Oregon sites suggest that some of our estimates are minimums and that Cascadia's megathrust earthquake ruptures have been heterogeneous over the past 3500 years.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.04.017","usgsCitation":"Milker, Y., Nelson, A.R., Horton, B.P., Engelhart, S.E., Bradley, L., and Witter, R., 2016, Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes: Quaternary Science Reviews, v. 142, p. 143-163, https://doi.org/10.1016/j.quascirev.2016.04.017.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-074549","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://durham-repository.worktribe.com/output/1320593","text":"Publisher Index Page"},{"id":342829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"142","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe2c","contributors":{"authors":[{"text":"Milker, Yvonne","contributorId":193405,"corporation":false,"usgs":false,"family":"Milker","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":700368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":700370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":700371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":700372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":700373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70169108,"text":"70169108 - 2016 - Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-28T14:08:47","indexId":"70169108","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","docAbstract":"<p>The National Ecological Observatory Network (NEON) intends to monitor mosquito populations across its broad geographical range of sites because of their prevalence in food webs, sensitivity to abiotic factors and relevance for human health. We describe the design of mosquito population sampling in the context of NEON&rsquo;s long term continental scale monitoring program, emphasizing the sampling design schedule, priorities and collection methods. Freely available NEON data and associated field and laboratory samples, will increase our understanding of how mosquito abundance, demography, diversity and phenology are responding to land use and climate change.</p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1320","usgsCitation":"Hoekman, D., Springer, Y.P., Barker, C., Barrera, R., Blackmore, M., Bradshaw, W., Foley, D.H., Ginsberg, H., Hayden, M.H., Holzapfel, C., Juliano, S., Kramer, L.D., LaDeau, S., Livdahl, T.P., Moore, C.G., Nasci, R., Reisen, W., and Savage, H.M., 2016, Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network: Ecosphere, v. 7, no. 5, e01320; 13 p., https://doi.org/10.1002/ecs2.1320.","productDescription":"e01320; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073978","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1320","text":"Publisher Index Page"},{"id":324521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-31","publicationStatus":"PW","scienceBaseUri":"57739faee4b07657d1a90cb8","contributors":{"authors":[{"text":"Hoekman, D.","contributorId":167627,"corporation":false,"usgs":false,"family":"Hoekman","given":"D.","email":"","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":622962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Yuri P.","contributorId":148010,"corporation":false,"usgs":false,"family":"Springer","given":"Yuri","email":"","middleInitial":"P.","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":622963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barker, C.M.","contributorId":167629,"corporation":false,"usgs":false,"family":"Barker","given":"C.M.","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":622964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, R.","contributorId":167630,"corporation":false,"usgs":false,"family":"Barrera","given":"R.","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":622965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackmore, M.S.","contributorId":167631,"corporation":false,"usgs":false,"family":"Blackmore","given":"M.S.","email":"","affiliations":[{"id":16978,"text":"Valdosta State University","active":true,"usgs":false}],"preferred":false,"id":622966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradshaw, W.E.","contributorId":167632,"corporation":false,"usgs":false,"family":"Bradshaw","given":"W.E.","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":622967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foley, D. H.","contributorId":167633,"corporation":false,"usgs":false,"family":"Foley","given":"D.","email":"","middleInitial":"H.","affiliations":[{"id":12519,"text":"Smithsonian Institution Research Assoicate","active":true,"usgs":false}],"preferred":false,"id":622968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":622961,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hayden, M. 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,{"id":70192617,"text":"70192617 - 2016 - Hierarchical species distribution models","interactions":[],"lastModifiedDate":"2017-11-10T11:14:28","indexId":"70192617","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical species distribution models","docAbstract":"<p><span>Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s40823-016-0008-7","usgsCitation":"Hefley, T.J., and Hooten, M., 2016, Hierarchical species distribution models: Current Landscape Ecology Reports, v. 1, no. 2, p. 87-97, https://doi.org/10.1007/s40823-016-0008-7.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-071733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40823-016-0008-7","text":"Publisher Index Page"},{"id":348570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5a06c8d3e4b09af898c8615c","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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