The Charlevoix, Quebec, earthquake of 20 October 1870 caused damage to several towns in Quebec and was felt throughout much of southeastern Canada and along the U.S. Atlantic seaboard from Maine to Maryland. Site‐specific damage and felt reports from Canadian and U.S. cities and towns were used in analyses of the location and magnitude of the earthquake. The macroseismic center of the earthquake was very close to Baie‐St‐Paul, where the greatest damage was reported, and the intensity magnitude MI was found to be 5.8, with a 95% probability range of 5.5–6.0. After corrections for epicentral‐distance differences are applied, the modified Mercalli intensity (MMI) data for the 1870 earthquake and for the moment magnitude M 6.2 Charlevoix earthquake of 1925 at common sites show that on average, the MMI readings are about 0.8 intensity units smaller for the 1870 earthquake than for the 1925 earthquake, suggesting that the 1870 earthquake was MI 5.7. A similar comparison of the MMI data for the 1870 earthquake with the corresponding data for the M 5.9 1988 Saguenay event suggests that the 1870 earthquake was MI 6.0. These analyses all suggest that the magnitude of the 1870 Charlevoix earthquake is between MI 5.5 and MI 6.0, with a best estimate of MI 5.8.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120110063","usgsCitation":"Ebel, J.E., Dupuy, M., and Bakun, W.H., 2013, Assessing the location and magnitude of the 20 October 1870 Charlevoix, Quebec, earthquake: Bulletin of the Seismological Society of America, v. 103, no. 1, p. 588-594, https://doi.org/10.1785/0120110063.","productDescription":"7 p.","startPage":"588","endPage":"594","ipdsId":"IP-028002","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85,\n 35\n ],\n [\n -60,\n 35\n ],\n [\n -60,\n 50\n ],\n [\n -85,\n 50\n ],\n [\n -85,\n 35\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"103","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"59f98bbee4b0531197afa042","contributors":{"authors":[{"text":"Ebel, John E.","contributorId":198671,"corporation":false,"usgs":false,"family":"Ebel","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dupuy, Megan","contributorId":198672,"corporation":false,"usgs":false,"family":"Dupuy","given":"Megan","email":"","affiliations":[],"preferred":false,"id":716725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakun, William H.","contributorId":39361,"corporation":false,"usgs":true,"family":"Bakun","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":716723,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70135130,"text":"70135130 - 2013 - Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis)","interactions":[],"lastModifiedDate":"2026-02-03T16:52:04.783422","indexId":"70135130","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis)","docAbstract":"Climate cycling during the Quaternary played a critical role in the diversification of avian lineages in North America, greatly influencing the genetic characteristics of contemporary populations. To test the hypothesis that North American Northern Goshawks (Accipitergentilis) were historically isolated within multiple Late Pleistocene refugia, we assessed diversity and population genetic structure as well as migration rates and signatures of historical demography using mitochondrial control-region data. On the basis of sampling from 24 locales, we found that Northern Goshawks were genetically structured across a large portion of their North American range. Long-term population stability, combined with strong genetic differentiation, suggests that Northern Goshawks were historically isolated within at least three refugial populations representing two regions: the Pacific (CascadesSierra-Vancouver Island) and the Southwest (Colorado Plateau and Jemez Mountains). By contrast, populations experiencing significant growth were located in the Southeast Alaska-British Columbia, Arizona Sky Islands, Rocky Mountains, Great Lakes, and Appalachian bioregions. In the case of Southeast Alaska-British Columbia, Arizona Sky Islands, and Rocky Mountains, Northern Goshawks likely colonized these regions from surrounding refugia. The near fixation for several endemic haplotypes in the Arizona Sky Island Northern Goshawks (A. g apache) suggests long-term isolation subsequent to colonization. Likewise, Great Lakes and Appalachian Northern Goshawks differed significantly in haplotype frequencies from most Western Northern Goshawks, which suggests that they, too, experienced long-term isolation prior to a more recent recolonization of eastern U.S. forests.
","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2013.12120","usgsCitation":"Bayard De Volo, S., Reynolds, R.T., Sonsthagen, S.A., Talbot, S.L., and Antolin, M.F., 2013, Phylogeography, post-glacial gene flow, and population history of North American goshawks (Accipeter gentilis): The Auk, v. 130, no. 2, p. 342-354, https://doi.org/10.1525/auk.2013.12120.","productDescription":"13 p.","startPage":"342","endPage":"354","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044035","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":296573,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":474041,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2013.12120","text":"Publisher Index Page"}],"country":"United States","volume":"130","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54897cbfe4b027aeab78129d","contributors":{"authors":[{"text":"Bayard De Volo, Shelley","contributorId":127814,"corporation":false,"usgs":false,"family":"Bayard De Volo","given":"Shelley","email":"","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526915,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Richard T. 0000-0002-5193-786X","orcid":"https://orcid.org/0000-0002-5193-786X","contributorId":105393,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard","middleInitial":"T.","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":526916,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526861,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":526862,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Antolin, Michael F.","contributorId":85469,"corporation":false,"usgs":false,"family":"Antolin","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":526917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188866,"text":"70188866 - 2013 - Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","interactions":[],"lastModifiedDate":"2017-06-27T10:04:18","indexId":"70188866","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world","docAbstract":"The practice of geologic mapping is undergoing conceptual and methodological transformation. Profound changes in digital technology in the past 10 yr have potential to impact all aspects of geologic mapping. The future of geologic mapping as a relevant scientific enterprise depends on widespread adoption of new technology and ideas about the collection, meaning, and utility of geologic map data. It is critical that the geologic community redefine the primary elements of the traditional paper geologic map and improve the integration of the practice of making maps in the field and office with the new ways to record, manage, share, and visualize their underlying data. A modern digital geologic mapping model will enhance scientific discovery, meet elevated expectations of modern geologic map users, and accommodate inevitable future changes in technology.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2013.2502(05)","usgsCitation":"House, K., Clark, R., and Kopera, J., 2013, Overcoming the momentum of anachronism: American geologic mapping in a twenty-first-century world: GSA Special Papers, v. 502, p. 103-125, https://doi.org/10.1130/2013.2502(05).","productDescription":"23 p.","startPage":"103","endPage":"125","ipdsId":"IP-044938","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"502","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eafe4b062508e3c7ab9","contributors":{"authors":[{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Ryan","contributorId":193538,"corporation":false,"usgs":false,"family":"Clark","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":700747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kopera, Joe","contributorId":193537,"corporation":false,"usgs":false,"family":"Kopera","given":"Joe","email":"","affiliations":[],"preferred":false,"id":700746,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70138191,"text":"70138191 - 2013 - Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","interactions":[],"lastModifiedDate":"2015-01-15T11:45:59","indexId":"70138191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?","docAbstract":"In the United States, estimation of flood frequency quantiles at ungauged locations has been largely based on regional regression techniques that relate measurable catchment descriptors to flood quantiles. More recently, spatial interpolation techniques of point data have been shown to be effective for predicting streamflow statistics (i.e., flood flows and low-flow indices) in ungauged catchments. Literature reports successful applications of two techniques, canonical kriging, CK (or physiographical-space-based interpolation, PSBI), and topological kriging, TK (or top-kriging). CK performs the spatial interpolation of the streamflow statistic of interest in the two-dimensional space of catchment descriptors. TK predicts the streamflow statistic along river networks taking both the catchment area and nested nature of catchments into account. It is of interest to understand how these spatial interpolation methods compare with generalized least squares (GLS) regression, one of the most common approaches to estimate flood quantiles at ungauged locations. By means of a leave-one-out cross-validation procedure, the performance of CK and TK was compared to GLS regression equations developed for the prediction of 10, 50, 100 and 500 yr floods for 61 streamgauges in the southeast United States. TK substantially outperforms GLS and CK for the study area, particularly for large catchments. The performance of TK over GLS highlights an important distinction between the treatments of spatial correlation when using regression-based or spatial interpolation methods to estimate flood quantiles at ungauged locations. The analysis also shows that coupling TK with CK slightly improves the performance of TK; however, the improvement is marginal when compared to the improvement in performance over GLS.
We used 25 years of conventional tagging (n = 6173 recoveries) and 3 years of ultrasonic telemetry data (n = 105 transmitters deployed) to examine movement rates and directional preferences of four age classes of red drum Sciaenops ocellatus in North Carolina. Movement rates of tagged red drum were dependent on the age, region, and season of tagging. Age-1 and age-2 red drum tagged along the coast generally moved along the coast, while fish tagged in oligohaline waters far from the coast were primarily recovered in coastal regions in fall months. Adult (age-4+) red drum moved from overwintering grounds on the continental shelf through inlets into Pamlico Sound in spring and summer months and departed in fall. Few tagged red drum were recovered in adjacent states (0.6% of all recoveries); however, some adult red drum migrated seasonally from overwintering grounds in coastal North Carolina northward to Virginia in spring, returning in fall. Telemetered age-2 red drum displayed seasonal emigration from a small tributary, but upstream and downstream movements within the tributary were correlated with fluctuating salinity regimes and not season. Large-scale tagging and telemetry programs can provide valuable insights into the complex movement patterns of estuarine fish.
","language":"English","publisher":"SouthEast Data, Assessment, and Review","usgsCitation":"Bacheler, N.M., Paramore, L.M., Burdick, S.M., Buckel, J.A., and Hightower, J.E., 2013, Seasonal variation in age-specific movement patterns of red drum Sciaenops ocellatus inferred from conventional tagging and telemetry, 42 p.","productDescription":"42 p.","ipdsId":"IP-012460","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349484,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349483,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://sedarweb.org/s18rd54-seasonal-variation-age-specific-movement-patterns-red-drum-sciaenops-ocellatus-inferred"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254ce","contributors":{"authors":[{"text":"Bacheler, Nathan M.","contributorId":34403,"corporation":false,"usgs":true,"family":"Bacheler","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paramore, Lee M.","contributorId":104368,"corporation":false,"usgs":true,"family":"Paramore","given":"Lee","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":723901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":723902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckel, Jeffery A.","contributorId":42872,"corporation":false,"usgs":true,"family":"Buckel","given":"Jeffery","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":723903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178388,"text":"70178388 - 2013 - Northern Great Plains Network water quality monitoring design for tributaries to the Missouri National Recreational River","interactions":[],"lastModifiedDate":"2017-10-12T20:16:30","indexId":"70178388","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":54,"text":"Natural Resource Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRTR-2013/783","title":"Northern Great Plains Network water quality monitoring design for tributaries to the Missouri National Recreational River","docAbstract":"The National Park Service (NPS) organized more than 270 parks with important natural resources into 32 ecoregional networks to conduct Inventory and Monitoring (I&M) activities for assessment of natural resources within park units. The Missouri National Recreational River (NRR) is among the 13 parks in the NPS Northern Great Plain Network (NGPN). Park managers and NGPN staff identified surface water resources as a high priority vital sign to monitor in park units. The objectives for the Missouri NRR water quality sampling design are to (1) assess the current status and long-term trends of select water quality parameters; and (2) document trends in streamflow at high-priority stream systems. Due to the large size of the Missouri River main stem, the NGPN water quality design for the Missouri NRR focuses on wadeable tributaries within the park unit. To correlate with the NGPN water quality protocols, monitoring of the Missouri NRR consists of measurement of field core parameters including dissolved oxygen, pH, specific conductance, and temperature; and streamflow. The purpose of this document is to discuss factors examined for selection of water quality monitoring on segments of the Missouri River tributaries within the Missouri NRR.
Awareness of the complex history of the Missouri NRR aids in the current understanding and direction for designing a monitoring plan. Historical and current monitoring data from agencies and entities were examined to assess potential NGPN monitoring sites. In addition, the U.S. Environmental Protection Agency 303(d) list was examined for the impaired segments on tributaries to the Missouri River main stem. Because major tributaries integrate water quality effects from complex combinations of land use and environmental settings within contributing areas, a 20-mile buffer of the Missouri NRR was used to establish environmental settings that may impact the water quality of tributaries that feed the Missouri River main stem. For selection of monitoring sites, anthropogenic and natural influences to water quality were assessed for Missouri NRR tributaries. Factors that were examined include the size and contributions of tributaries within watersheds to the main stem; population density; and land use such as urban development and agricultural practices including concentrated animal feeding operations. Based on examination of these data in addition to the park’s legislation and management considerations, two sites were selected for monitoring water quality on Missouri NRR tributaries for the ice-free season (mid-May to mid-October) on a rotational basis every third year. Bow Creek at St. James was selected for water quality monitoring based on lack of long-term water quality monitoring, current recreational use, and proximity of the tributary to intense agricultural practices. In addition, land within the Bow Creek watershed is owned by the NPS. The Niobrara River at Verdel was selected for monitoring due to high use for public recreational activities, adjacent agricultural land use, and documented impairments for designated beneficial uses. Both sites will have access to real-time streamgages that will aid in a greater understanding of water quality.
","language":"English","publisher":"National Park Service","usgsCitation":"Rowe, B.L., Wilson, S.K., Yager, L., and Wilson, M.H., 2013, Northern Great Plains Network water quality monitoring design for tributaries to the Missouri National Recreational River: Natural Resource Technical Report NPS/NGPN/NRTR-2013/783, xi, 38 p.","productDescription":"xi, 38 p.","numberOfPages":"54","ipdsId":"IP-043441","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":339826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331055,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2197799"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d444e4b0f2e20545e433","contributors":{"authors":[{"text":"Rowe, Barbara L. blrowe@usgs.gov","contributorId":2673,"corporation":false,"usgs":true,"family":"Rowe","given":"Barbara","email":"blrowe@usgs.gov","middleInitial":"L.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":691294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Stephen K.","contributorId":191011,"corporation":false,"usgs":false,"family":"Wilson","given":"Stephen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":691295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yager, Lisa","contributorId":176898,"corporation":false,"usgs":false,"family":"Yager","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":691296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Marcia H.","contributorId":6149,"corporation":false,"usgs":true,"family":"Wilson","given":"Marcia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":691297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142504,"text":"70142504 - 2013 - NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","interactions":[],"lastModifiedDate":"2017-01-18T11:51:16","indexId":"70142504","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA","docAbstract":"In this study, we developed a new approach that adjusted normalized difference vegetation index (NDVI) pixel values that were near saturation to better characterize the cropland performance (CP) in the Greater Platte River Basin (GPRB), USA. The relationship between NDVI and the ratio vegetation index (RVI) at high NDVI values was investigated, and an empirical equation for estimating saturation-adjusted NDVI (NDVIsat_adjust) based on RVI was developed. A 10-year (2000–2009) NDVIsat_adjust data set was developed using 250-m 7-day composite historical eMODIS (expedited Moderate Resolution Imaging Spectroradiometer) NDVI data. The growing season averaged NDVI (GSN), which is a proxy for ecosystem performance, was estimated and long-term NDVI non-saturation- and saturation-adjusted cropland performance (CPnon_sat_adjust, CPsat_adjust) maps were produced over the GPRB. The final CP maps were validated using National Agricultural Statistics Service (NASS) crop yield data. The relationship between CPsat_adjust and the NASS average corn yield data (r = 0.78, 113 samples) is stronger than the relationship between CPnon_sat_adjust and the NASS average corn yield data (r = 0.67, 113 samples), indicating that the new CPsat_adjust map reduces the NDVI saturation effects and is in good agreement with the corn yield ground observations. Results demonstrate that the NDVI saturation adjustment approach improves the quality of the original GSN map and better depicts the actual vegetation conditions of the GPRB cropland systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2013.01.041","usgsCitation":"Gu, Y., Wylie, B.K., Howard, D., Phuyal, K.P., and Ji, L., 2013, NDVI saturation adjustment: a new approach for improving cropland performance estimates in the Greater Platte River Basin, USA: Ecological Indicators, v. 30, p. 1-6, https://doi.org/10.1016/j.ecolind.2013.01.041.","productDescription":"6 p.","startPage":"1","endPage":"6","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038440","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298320,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Nebraska, South Dakota, Wyoming","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.8193359375,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 43.992814500489914\n ],\n [\n -95.9326171875,\n 38.71980474264239\n ],\n [\n -109.8193359375,\n 38.71980474264239\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddbae4b02419550db6dd","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":541930,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541931,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phuyal, Khem P.","contributorId":28517,"corporation":false,"usgs":true,"family":"Phuyal","given":"Khem","email":"","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541932,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541933,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70140601,"text":"70140601 - 2013 - Spatial Relation Predicates in Topographic Feature Semantics","interactions":[],"lastModifiedDate":"2015-10-16T15:13:38","indexId":"70140601","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Spatial Relation Predicates in Topographic Feature Semantics","docAbstract":"Topographic data are designed and widely used for base maps of diverse applications, yet the power of these information sources largely relies on the interpretive skills of map readers and relational database expert users once the data are in map or geographic information system (GIS) form. Advances in geospatial semantic technology offer data model alternatives for explicating concepts and articulating complex data queries and statements. To understand and enrich the vocabulary of topographic feature properties for semantic technology, English language spatial relation predicates were analyzed in three standard topographic feature glossaries. The analytical approach drew from disciplinary concepts in geography, linguistics, and information science. Five major classes of spatial relation predicates were identified from the analysis; representations for most of these are not widely available. The classes are: part-whole (which are commonly modeled throughout semantic and linked-data networks), geometric, processes, human intention, and spatial prepositions. These are commonly found in the ‘real world’ and support the environmental science basis for digital topographical mapping. The spatial relation concepts are based on sets of relation terms presented in this chapter, though these lists are not prescriptive or exhaustive. The results of this study make explicit the concepts forming a broad set of spatial relation expressions, which in turn form the basis for expanding the range of possible queries for topographical data analysis and mapping.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Cognitive and Linguistic Aspects of Geographic Space","language":"English","publisher":"Springer-Verlag Berlin Heidelberg","doi":"10.1007/978-3-642-34359-9_10","usgsCitation":"Varanka, D.E., and Caro, H.K., 2013, Spatial Relation Predicates in Topographic Feature Semantics, chap. of Cognitive and Linguistic Aspects of Geographic Space, p. 175-193, https://doi.org/10.1007/978-3-642-34359-9_10.","productDescription":"19","startPage":"175","endPage":"193","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-020826","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":309988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-30","publicationStatus":"PW","scienceBaseUri":"56221fb5e4b06217fc47922b","contributors":{"authors":[{"text":"Varanka, Dalia E. 0000-0003-2857-9600 dvaranka@usgs.gov","orcid":"https://orcid.org/0000-0003-2857-9600","contributorId":1296,"corporation":false,"usgs":true,"family":"Varanka","given":"Dalia","email":"dvaranka@usgs.gov","middleInitial":"E.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":540224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caro, Holly K.","contributorId":59548,"corporation":false,"usgs":true,"family":"Caro","given":"Holly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":577756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193604,"text":"70193604 - 2013 - Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor","interactions":[],"lastModifiedDate":"2019-03-25T09:45:52","indexId":"70193604","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor","docAbstract":"The use of seismic noise interferometry to retrieve Green's functions and the analysis of volcanic tremor are both useful in studying volcano dynamics. Whereas seismic noise interferometry allows long-range extraction of interpretable signals from a relatively weak noise wavefield, the characterization of volcanic tremor often requires a dense seismic array close to the source. We here show that standard processing of seismic noise interferometry yields volcanic tremor signals observable over large distances exceeding 50 km. Our study comprises 2.5 yr of data from the U.S. Geological Survey Hawaiian Volcano Observatory short period seismic network. Examining more than 700 station pairs, we find anomalous and temporally coherent signals that obscure the Green's functions. The time windows and frequency bands of these anomalous signals correspond well with the characteristics of previously studied volcanic tremor sources at Pu'u 'Ō'ō and Halema'uma'u craters. We use the derived noise cross-correlation functions to perform a grid-search for source location, confirming that these signals are surface waves originating from the known tremor sources. A grid-search with only distant stations verifies that useful tremor signals can indeed be recovered far from the source. Our results suggest that the specific data processing in seismic noise interferometry—typically used for Green's function retrieval—can aid in the study of both the wavefield and source location of volcanic tremor over large distances. In view of using the derived Green's functions to image heterogeneity and study temporal velocity changes at volcanic regions, however, our results illustrate how care should be taken when contamination by tremor may be present.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gji/ggt112","usgsCitation":"Ballmer, S., Wolfe, C.J., Okubo, P.G., Haney, M.M., and Thurber, C.H., 2013, Ambient seismic noise interferometry in Hawai'i reveals long-range observability of volcanic tremor: Geophysical Journal International, v. 194, no. 1, p. 512-523, https://doi.org/10.1093/gji/ggt112.","productDescription":"12 p.","startPage":"512","endPage":"523","ipdsId":"IP-045362","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggt112","text":"Publisher Index Page"},{"id":348123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.23107910156247,\n 18.88030044453507\n ],\n [\n -154.7698974609375,\n 18.88030044453507\n ],\n [\n -154.7698974609375,\n 20.2982655686933\n ],\n [\n -156.23107910156247,\n 20.2982655686933\n ],\n [\n -156.23107910156247,\n 18.88030044453507\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"194","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-16","publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b27ff7","contributors":{"authors":[{"text":"Ballmer, Silke","contributorId":199612,"corporation":false,"usgs":false,"family":"Ballmer","given":"Silke","email":"","affiliations":[],"preferred":false,"id":719579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolfe, Cecily J. 0000-0003-3144-5697 cwolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3144-5697","contributorId":191613,"corporation":false,"usgs":true,"family":"Wolfe","given":"Cecily","email":"cwolfe@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Okubo, Paul G. 0000-0002-0381-6051 pokubo@usgs.gov","orcid":"https://orcid.org/0000-0002-0381-6051","contributorId":2730,"corporation":false,"usgs":true,"family":"Okubo","given":"Paul","email":"pokubo@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":719576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":719575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurber, Clifford H. 0000-0002-4940-4618","orcid":"https://orcid.org/0000-0002-4940-4618","contributorId":73184,"corporation":false,"usgs":false,"family":"Thurber","given":"Clifford","email":"","middleInitial":"H.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":719578,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70193443,"text":"70193443 - 2013 - Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","interactions":[],"lastModifiedDate":"2017-11-10T18:54:20","indexId":"70193443","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario","docAbstract":"We evaluated the influence of sex and reproductive condition on seasonal distribution and movement patterns of Lake Sturgeon Acipenser fulvescens in Namakan Reservoir, Minnesota–Ontario. Blood samples were collected from 133 Lake Sturgeon prior to spawning and plasma concentrations of testosterone and estradiol-17ß were analyzed using radioimmunoassay. Steroid concentrations were used to determine sex and the reproductive stage of each sturgeon. A subset of 60 adults were implanted with acoustic transmitters prior to spawning in 2007 and 2008. Movement was monitored using an array of 15 stationary receivers covering U.S. and Canadian waters of Namakan Reservoir and its tributaries. Of the monitored sturgeon, there was no significant difference in the minimum distance traveled between sexes or among seasons. Site residency did not differ between sexes but differed significantly among seasons, and Lake Sturgeon of both sexes had higher residency during winter (mean = 24 d). Five females implanted with transmitters were characterized as presumed reproductive and 14 as nonreproductive based on plasma steroid concentrations. In general, movement patterns (i.e., migration) of presumed reproductive females corresponded positively with availability of spawning habitat in tributaries. Moreover, presumed reproductive females traveled greater distances than nonreproductive females, particularly during prespawn, spawning, and fall time periods. Distance traveled by presumed reproductive females was highest in the fall compared with other seasons and may be linked to increased energy requirements during late oogenesis before spawning in spring. Combining movement data with information on Lake Sturgeon reproductive status and habitat suitability provided a robust approach for understanding their seasonal migration patterns and identifying spawning locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2012.720625","usgsCitation":"Shaw, S.L., Chipps, S.R., Windels, S.K., Webb, M.A., and McLeod, D.T., 2013, Influence of sex and reproductive status on seasonal movement of Lake Sturgeon in Namakan Reservoir, Minnesota–Ontario: Transactions of the American Fisheries Society, v. 142, no. 1, p. 10-20, https://doi.org/10.1080/00028487.2012.720625.","productDescription":"11 p.","startPage":"10","endPage":"20","ipdsId":"IP-034024","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Minnesota, Ontario","otherGeospatial":"Namakan Reservoir","volume":"142","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-12-04","publicationStatus":"PW","scienceBaseUri":"5a06c8d7e4b09af898c86181","contributors":{"authors":[{"text":"Shaw, Stephanie L.","contributorId":199420,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":721654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windels, Steve K.","contributorId":182422,"corporation":false,"usgs":false,"family":"Windels","given":"Steve","email":"","middleInitial":"K.","affiliations":[{"id":18939,"text":"Voyageurs National Park","active":true,"usgs":false}],"preferred":false,"id":721655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Molly A. H.","contributorId":152118,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A. H.","affiliations":[{"id":18870,"text":"Bozeman Fish Technology Center, U.S. Fish and Wildlife Service, Bozeman, Montana 59715","active":true,"usgs":false}],"preferred":false,"id":721656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McLeod, Darryl T.","contributorId":199419,"corporation":false,"usgs":false,"family":"McLeod","given":"Darryl","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":721657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195369,"text":"70195369 - 2013 - An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","interactions":[],"lastModifiedDate":"2018-02-12T12:41:08","indexId":"70195369","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data","docAbstract":"LiDAR (Light Detection and Ranging) surveys of karst terrains provide high-resolution digital elevation models (DEMs) that are particularly useful for mapping sinkholes. In this study, we used automated processing tools within ArcGIS (v. 10.0) operating on a 1.0 m resolution LiDAR DEM in order to delineate sinkholes and closed depressions in the Boyce 7.5 minute quadrangle located in the northern Shenandoah Valley of Virginia. The results derived from the use of the automated tools were then compared with depressions manually delineated by a geologist. Manual delineation of closed depressions was conducted using a combination of 1.0 m DEM hillshade, slopeshade, aerial imagery, and Topographic Position Index (TPI) rasters. The most effective means of visualizing depressions in the GIS was using an overlay of the partially transparent TPI raster atop the slopeshade raster at 1.0 m resolution. Manually identified depressions were subsequently checked using aerial imagery to screen for false positives, and targeted ground-truthing was undertaken in the field. The automated tools that were utilized include the routines in ArcHydro Tools (v. 2.0) for prescreening, evaluating, and selecting sinks and depressions as well as thresholding, grouping, and assessing depressions from the TPI raster. Results showed that the automated delineation of sinks and depressions within the ArcHydro tools was highly dependent upon pre-conditioning of the DEM to produce \"hydrologically correct\" surface flow routes. Using stream vectors obtained from the National Hydrologic Dataset alone to condition the flow routing was not sufficient to produce a suitable drainage network, and numerous artificial depressions were generated where roads, railways, or other manmade structures acted as flow barriers in the elevation model. Additional conditioning of the DEM with drainage paths across these barriers was required prior to automated 2delineation of sinks and depressions. In regions where the DEM had been properly conditioned, the tools for automated delineation performed reasonably well as compared to the manually delineated depressions, but generally overestimated the number of depressions thus necessitating manual filtering of the final results. Results from the TPI thresholding analysis were not dependent on DEM pre-conditioning, but the ability to extract meaningful depressions depended on careful assessment of analysis scale and TPI thresholding.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"National Cave and Karst Research Insititute","doi":"10.5038/9780979542275.1156","usgsCitation":"Doctor, D.H., and Young, J.A., 2013, An evaluation of automated GIS tools for delineating karst sinkholes and closed depressions from 1-meter LIDAR-derived digital elevation data, in Sinkholes and the Engineering and Environmental Impacts of Karst: Proceedings of the Thirteenth Multidisciplinary Conference, p. 449-458, https://doi.org/10.5038/9780979542275.1156.","productDescription":"9 p.","startPage":"449","endPage":"458","ipdsId":"IP-044120","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":488751,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.usf.edu/sinkhole_2013/Proceedings/Mapping_Management/8","text":"External Repository"},{"id":351475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afef06de4b0da30c1bfc7e6","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":728192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":728193,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70188867,"text":"70188867 - 2013 - Monte Carlo simulations of product distributions and contained metal estimates","interactions":[],"lastModifiedDate":"2018-02-15T14:30:08","indexId":"70188867","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Monte Carlo simulations of product distributions and contained metal estimates","docAbstract":"Estimation of product distributions of two factors was simulated by conventional Monte Carlo techniques using factor distributions that were independent (uncorrelated). Several simulations using uniform distributions of factors show that the product distribution has a central peak approximately centered at the product of the medians of the factor distributions. Factor distributions that are peaked, such as Gaussian (normal) produce an even more peaked product distribution. Piecewise analytic solutions can be obtained for independent factor distributions and yield insight into the properties of the product distribution. As an example, porphyry copper grades and tonnages are now available in at least one public database and their distributions were analyzed. Although both grade and tonnage can be approximated with lognormal distributions, they are not exactly fit by them. The grade shows some nonlinear correlation with tonnage for the published database. Sampling by deposit from available databases of grade, tonnage, and geological details of each deposit specifies both grade and tonnage for that deposit. Any correlation between grade and tonnage is then preserved and the observed distribution of grades and tonnages can be used with no assumption of distribution form.
","language":"English","publisher":"Springer","doi":"10.1007/s11053-013-9206-8","usgsCitation":"Gettings, M.E., 2013, Monte Carlo simulations of product distributions and contained metal estimates: Natural Resources Research, v. 22, no. 3, p. 239-254, https://doi.org/10.1007/s11053-013-9206-8.","productDescription":"16 p.","startPage":"239","endPage":"254","ipdsId":"IP-045215","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":342941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"59536eaee4b062508e3c7ab7","contributors":{"authors":[{"text":"Gettings, Mark E. 0000-0002-2910-2321 mgetting@usgs.gov","orcid":"https://orcid.org/0000-0002-2910-2321","contributorId":602,"corporation":false,"usgs":true,"family":"Gettings","given":"Mark","email":"mgetting@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700748,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70136386,"text":"70136386 - 2013 - Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","interactions":[],"lastModifiedDate":"2015-01-05T09:46:02","indexId":"70136386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model","docAbstract":"Winter cover crops are an effective conservation management practice with potential to improve water quality. Throughout the Chesapeake Bay Watershed (CBW), which is located in the Mid-Atlantic US, winter cover crop use has been emphasized and federal and state cost-share programs are available to farmers to subsidize the cost of winter cover crop establishment. The objective of this study was to assess the long-term effect of planting winter cover crops at the watershed scale and to identify critical source areas of high nitrate export. A physically-based watershed simulation model, Soil and Water Assessment Tool (SWAT), was calibrated and validated using water quality monitoring data and satellite-based estimates of winter cover crop species performance to simulate hydrological processes and nutrient cycling over the period of 1991–2000. Multiple scenarios were developed to obtain baseline information on nitrate loading without winter cover crops planted and to investigate how nitrate loading could change with different winter cover crop planting scenarios, including different species, planting times, and implementation areas. The results indicate that winter cover crops had a negligible impact on water budget, but significantly reduced nitrate leaching to groundwater and delivery to the waterways. Without winter cover crops, annual nitrate loading was approximately 14 kg ha−1, but it decreased to 4.6–10.1 kg ha−1 with winter cover crops resulting in a reduction rate of 27–67% at the watershed scale. Rye was most effective, with a potential to reduce nitrate leaching by up to 93% with early planting at the field scale. Early planting of winter cover crops (~30 days of additional growing days) was crucial, as it lowered nitrate export by an additional ~2 kg ha−1 when compared to late planting scenarios. The effectiveness of cover cropping increased with increasing extent of winter cover crop implementation. Agricultural fields with well-drained soils and those that were more frequently used to grow corn had a higher potential for nitrate leaching and export to the waterways. This study supports the effective implement of winter cover crop programs, in part by helping to target critical pollution source areas for winter cover crop implementation.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hessd-10-14229-2013","collaboration":"Department of Geographical Sciences, University of Maryland, College Park, MD; USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD; Dream it Do it Western New York, Jamestown, NY; USDA Forest Service, Northern Research Station, Beltsville, MD","usgsCitation":"Yeo, I., Lee, S., Sadeghi, A.M., Beeson, P.C., Hively, W., McCarty, G.W., and Lang, M.W., 2013, Assessing winter cover crop nutrient uptake efficiency using a water quality simulation model: Hydrology and Earth System Sciences, v. 10, no. 11, p. 14229-14263, https://doi.org/10.5194/hessd-10-14229-2013.","productDescription":"35 p.","startPage":"14229","endPage":"14263","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056041","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474018,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hessd-10-14229-2013","text":"Publisher Index Page"},{"id":296981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay Watershed","volume":"10","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2b3ce4b08de9379b32bf","contributors":{"authors":[{"text":"Yeo, In-Young","contributorId":131145,"corporation":false,"usgs":false,"family":"Yeo","given":"In-Young","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Sangchui","contributorId":131146,"corporation":false,"usgs":false,"family":"Lee","given":"Sangchui","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":537474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadeghi, Ali M.","contributorId":131147,"corporation":false,"usgs":false,"family":"Sadeghi","given":"Ali","email":"","middleInitial":"M.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beeson, Peter C.","contributorId":131148,"corporation":false,"usgs":false,"family":"Beeson","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":7263,"text":"Dream it Do it Western New York, Jamestown, NY 14701","active":true,"usgs":false}],"preferred":false,"id":537476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hively, W. Dean whively@usgs.gov","contributorId":4919,"corporation":false,"usgs":true,"family":"Hively","given":"W. Dean","email":"whively@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":537472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537477,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lang, Megan W.","contributorId":131150,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":7264,"text":"USDA Forest Service, Northern Research Station, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":537478,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192523,"text":"70192523 - 2013 - Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics","interactions":[],"lastModifiedDate":"2017-11-28T13:51:10","indexId":"70192523","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics","docAbstract":"Hydroacoustic surveys have proven valuable for estimating reservoir forage fish abundance but are more challenging for adult predators such as striped bass Morone saxatilis. Difficulties in assessing striped bass in reservoirs include their low density and the inability to distinguish species with hydroacoustic data alone. Despite these difficulties, mobile hydroacoustic surveys have potential to provide useful data for management because of the large sample volume compared to traditional methods such as gill netting and the ability to target specific areas where striped bass are aggregated. Hydroacoustic estimates of reservoir striped bass have been made using mobile surveys, with data analysis using a threshold for target strength in order to focus on striped bass-sized targets, and auxiliary sampling with nets to obtain species composition. We provide recommendations regarding survey design, based in part on simulations that provide insight on the level of effort that would be required to achieve reasonable estimates of abundance. Future surveys may be able to incorporate telemetry or other sonar techniques such as side-scan or multibeam in order to focus survey efforts on productive habitats (within lake and vertically). However, species apportionment will likely remain the main source of error, and we see no hydroacoustic system on the horizon that will identify fish by species at the spatial and temporal scale required for most reservoir surveys. In situations where species composition can be reliably assessed using traditional gears, abundance estimates from hydroacoustic methods should be useful to fishery managers interested in developing harvest regulations, assessing survival of stocked juveniles, identifying seasonal aggregations, and examining predator–prey balance.
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Hightower, J.E., Taylor, J.C., and Degan, D.J., 2013, Estimating abundance of adult striped bass in reservoirs using mobile hydroacoustics: American Fisheries Society Symposium, v. 80, p. 279-289.","productDescription":"11 p.","startPage":"279","endPage":"289","ipdsId":"IP-019542","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254ca","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, J. Christopher","contributorId":200939,"corporation":false,"usgs":false,"family":"Taylor","given":"J.","email":"","middleInitial":"Christopher","affiliations":[],"preferred":false,"id":723864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Degan, Donald J.","contributorId":81979,"corporation":false,"usgs":true,"family":"Degan","given":"Donald","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":723865,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174969,"text":"70174969 - 2013 - The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","interactions":[],"lastModifiedDate":"2017-02-13T14:55:05","indexId":"70174969","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift","docAbstract":"Global palaeoclimate reconstructions have been invaluable to our understanding of the causes and effects of climate change, but single-temperature representations of the oceanic mixed layer for data–model comparisons are outdated, and the time for a paradigm shift in marine palaeoclimate reconstruction is overdue. The new paradigm in marine palaeoclimate reconstruction stems the loss of valuable climate information and instead presents a holistic and nuanced interpretation of multi-dimensional oceanographic processes and responses. A wealth of environmental information is hidden within the US Geological Survey's Pliocene Research,Interpretation and Synoptic Mapping (PRISM) marine palaeoclimate reconstruction, and we introduce here a plan to incorporate all valuable climate data into the next generation of PRISM products. Beyond the global approach and focus, we plan to incorporate regional climate dynamics with emphasis on processes, integrating multiple environmental proxies wherever available in order to better characterize the mixed layer, and developing a finer time slice within the Mid-Piacenzian Age of the Pliocene, complemented by underused proxies that offer snapshots into environmental conditions. The result will be a proxy-rich, temporally nested, process-oriented approach in a digital format - a relational database with geographic information system capabilities comprising a three-dimensional grid representing the surface layer, with a plethora of data in each cell.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsta.2012.0524","usgsCitation":"Dowsett, H.J., Robinson, M.M., Stoll, D.K., Foley, K.M., Johnson, A.L., Williams, M., and Riesselman, C., 2013, The PRISM (Pliocene Palaeoclimate) reconstruction: Time for a paradigm shift: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, https://doi.org/10.1098/rsta.2012.0524.","productDescription":"Article 20120524; 24 p.","startPage":"1-24","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042157","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":474039,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0524","text":"Publisher Index Page"},{"id":325601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"57973832e4b021cadec8ff58","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","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}],"preferred":true,"id":643454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoll, Danielle K.","contributorId":88236,"corporation":false,"usgs":true,"family":"Stoll","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":643453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":643455,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Andrew L. A.","contributorId":173158,"corporation":false,"usgs":false,"family":"Johnson","given":"Andrew","email":"","middleInitial":"L. A.","affiliations":[{"id":27166,"text":"Univ. of Derby","active":true,"usgs":false}],"preferred":false,"id":643457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Mark","contributorId":15098,"corporation":false,"usgs":true,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":643458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":643452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70193293,"text":"70193293 - 2013 - A comparison of data-driven groundwater vulnerability assessment methods","interactions":[],"lastModifiedDate":"2017-11-11T16:26:15","indexId":"70193293","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of data-driven groundwater vulnerability assessment methods","docAbstract":"Increasing availability of geo-environmental data has promoted the use of statistical methods to assess groundwater vulnerability. Nitrate is a widespread anthropogenic contaminant in groundwater and its occurrence can be used to identify aquifer settings vulnerable to contamination. In this study, multivariate Weights of Evidence (WofE) and Logistic Regression (LR) methods, where the response variable is binary, were used to evaluate the role and importance of a number of explanatory variables associated with nitrate sources and occurrence in groundwater in the Milan District (central part of the Po Plain, Italy). The results of these models have been used to map the spatial variation of groundwater vulnerability to nitrate in the region, and we compare the similarities and differences of their spatial patterns and associated explanatory variables. We modify the standard WofE method used in previous groundwater vulnerability studies to a form analogous to that used in LR; this provides a framework to compare the results of both models and reduces the effect of sampling bias on the results of the standard WofE model. In addition, a nonlinear Generalized Additive Model has been used to extend the LR analysis. Both approaches improved discrimination of the standard WofE and LR models, as measured by the c-statistic. Groundwater vulnerability probability outputs, based on rank-order classification of the respective model results, were similar in spatial patterns and identified similar strong explanatory variables associated with nitrate source (population density as a proxy for sewage systems and septic sources) and nitrate occurrence (groundwater depth).
","language":"English","publisher":"Groundwater","doi":"10.1111/gwat.12012","usgsCitation":"Sorichetta, A., Ballabio, C., Masetti, M., Robinson, G.R., and Sterlacchini, S., 2013, A comparison of data-driven groundwater vulnerability assessment methods: Groundwater, v. 51, no. 6, p. 866-879, https://doi.org/10.1111/gwat.12012.","productDescription":"14 p.","startPage":"866","endPage":"879","ipdsId":"IP-033744","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":348612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","state":"Milan District","otherGeospatial":"Po Plain","volume":"51","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-01-03","publicationStatus":"PW","scienceBaseUri":"5a07ef4ae4b09af898c8cd87","contributors":{"authors":[{"text":"Sorichetta, Alessandro","contributorId":199291,"corporation":false,"usgs":false,"family":"Sorichetta","given":"Alessandro","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballabio, Cristiano","contributorId":199292,"corporation":false,"usgs":false,"family":"Ballabio","given":"Cristiano","email":"","affiliations":[{"id":18032,"text":"European Commission, Joint Research Centere, Institute for Environment and Sustainability, Ispra Varese, Italy","active":true,"usgs":false}],"preferred":false,"id":721674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masetti, Marco","contributorId":199293,"corporation":false,"usgs":false,"family":"Masetti","given":"Marco","email":"","affiliations":[{"id":29874,"text":"Università degli Studi di Milano, Milano, Italy","active":true,"usgs":false}],"preferred":false,"id":721675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Gilpin R. Jr. 0000-0002-9676-9564 grobinso@usgs.gov","orcid":"https://orcid.org/0000-0002-9676-9564","contributorId":172765,"corporation":false,"usgs":true,"family":"Robinson","given":"Gilpin","suffix":"Jr.","email":"grobinso@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":721676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sterlacchini, Simone","contributorId":199294,"corporation":false,"usgs":false,"family":"Sterlacchini","given":"Simone","email":"","affiliations":[{"id":35722,"text":"Istituto per la Dinamica dei Processi Ambientali, Consiglio Nazionale delle Ricerche (CNR-IDPA), Piazza della Scienza 1, 20126 Milan, Italy","active":true,"usgs":false}],"preferred":false,"id":721677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192541,"text":"70192541 - 2013 - Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","interactions":[],"lastModifiedDate":"2017-11-28T12:43:25","indexId":"70192541","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?","docAbstract":"I examined how land use influenced the distribution of Smallmouth Bass Micropterus dolomieu in channel units (discrete morphological features—e.g., pools) of streams in the Midwestern USA. Stream segments (n = 36), from four clusters of different soil and runoff conditions, were identified that had the highest percent of forest (n = 12), pasture (n = 12), and urban land use (n = 12) within each cluster. Channel units within each stream were delineated and independently sampled once using multiple gears in summer 2006. Data were analyzed using a generalized linear mixed model procedure with a binomial distribution and odds ratio statistics. Land use and channel unit were strong predictors of age-0, age-1, and age->1 Smallmouth Bass presence. Each age-class was more likely to be present in streams within watersheds dominated by forest land use than in those with pasture or urban land uses. The interaction between land use and channel unit was not significant in any of the models, indicating channel unit use by Smallmouth Bass did not depend on watershed land use. Each of the three age-classes was more likely to use pools than other channel units. However, streams with high densities of Smallmouth Bass age >1 had lower proportions of pools suggesting a variety of channel units is important even though habitat needs exist at the channel-unit scale. Management may benefit from future research addressing the significance of channel-unit quality as a possible mechanism for how land use impacts Smallmouth Bass populations. Further, management efforts aimed at improving stream habitat would likely be more beneficial if focused at the stream segment or landscape scale, where a variety of quality habitats might be supported.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2013.763878","usgsCitation":"Brewer, S.K., 2013, Channel unit use by Smallmouth Bass: Do land-use constraints or quantity of habitat matter?: North American Journal of Fisheries Management, v. 33, no. 2, p. 351-358, https://doi.org/10.1080/02755947.2013.763878.","productDescription":"8 p.","startPage":"351","endPage":"358","ipdsId":"IP-031249","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"MIssouri","volume":"33","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-06","publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c4","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716155,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193386,"text":"70193386 - 2013 - Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","interactions":[],"lastModifiedDate":"2017-11-15T11:25:37","indexId":"70193386","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data","docAbstract":"Livelihood systems that depend on mobile resources must constantly adapt to change. For people living in permanent settlements, environmental changes that affect the distribution of a migratory species may reduce the availability of a primary food source, with the potential to destabilize the regional social-ecological system. Food security for Arctic indigenous peoples harvesting barren ground caribou (Rangifer tarandus granti) depends on movement patterns of migratory herds. Quantitative assessments of physical, ecological, and social effects on caribou distribution have proven difficult because of the significant interannual variability in seasonal caribou movement patterns. We developed and evaluated a modeling approach for simulating the distribution of a migratory herd throughout its annual cycle over a multiyear period. Beginning with spatial and temporal scales developed in previous studies of the Porcupine Caribou Herd of Canada and Alaska, we used satellite collar locations to compute and analyze season-by-season probabilities of movement of animals between habitat zones under two alternative weather conditions for each season. We then built a set of transition matrices from these movement probabilities, and simulated the sequence of movements across the landscape as a Markov process driven by externally imposed seasonal weather states. Statistical tests showed that the predicted distributions of caribou were consistent with observed distributions, and significantly correlated with subsistence harvest levels for three user communities. Our approach could be applied to other caribou herds and could be adapted for simulating the distribution of other ungulates and species with similarly large interannual variability in the use of their range.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-05376-180201","usgsCitation":"Nicolson, C., Berman, M., West, C.T., Kofinas, G.P., Griffith, B., Russell, D., and Dugan, D., 2013, Seasonal climate variation and caribou availability: Modeling sequential movement using satellite-relocation data: Ecology and Society, v. 18, no. 2, Article 1; 19 p., https://doi.org/10.5751/ES-05376-180201.","productDescription":"Article 1; 19 p.","ipdsId":"IP-022189","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-05376-180201","text":"Publisher Index Page"},{"id":348874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon Territory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.04052734375,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 64.87693823228865\n ],\n [\n -130.2978515625,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 70.44415495538642\n ],\n [\n -149.04052734375,\n 64.87693823228865\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610312e4b06e28e9c254ba","contributors":{"authors":[{"text":"Nicolson, Craig","contributorId":8565,"corporation":false,"usgs":true,"family":"Nicolson","given":"Craig","email":"","affiliations":[],"preferred":false,"id":722126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berman, Matthew","contributorId":200375,"corporation":false,"usgs":false,"family":"Berman","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":722127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"West, Colin Thor","contributorId":200376,"corporation":false,"usgs":false,"family":"West","given":"Colin","email":"","middleInitial":"Thor","affiliations":[],"preferred":false,"id":722128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kofinas, Gary P.","contributorId":200377,"corporation":false,"usgs":false,"family":"Kofinas","given":"Gary","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":722129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffith, Brad","contributorId":190362,"corporation":false,"usgs":false,"family":"Griffith","given":"Brad","affiliations":[],"preferred":false,"id":722130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Russell, Don","contributorId":200378,"corporation":false,"usgs":false,"family":"Russell","given":"Don","email":"","affiliations":[],"preferred":false,"id":722131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dugan, Darcy","contributorId":200379,"corporation":false,"usgs":false,"family":"Dugan","given":"Darcy","email":"","affiliations":[],"preferred":false,"id":722132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192524,"text":"70192524 - 2013 - Tagging methods for estimating population size and mortality rates of inland striped bass populations","interactions":[],"lastModifiedDate":"2017-11-28T13:47:37","indexId":"70192524","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":718,"text":"American Fisheries Society Symposium","active":true,"publicationSubtype":{"id":10}},"title":"Tagging methods for estimating population size and mortality rates of inland striped bass populations","docAbstract":"Striped bass Morone saxatilis in inland reservoirs play an important role ecologically and in supporting recreational fishing. To manage these populations, biologists need information about abundance and mortality. Abundance estimates can be used to assess the effectiveness of stocking programs that maintain most reservoir striped bass populations. Mortality estimates can indicate the relative impact of fishing versus natural mortality and the need for harvest regulation. The purpose of this chapter is to evaluate tagging studies as a way of obtaining information about abundance and mortality. These approaches can be grouped into three broad categories: tag recapture, tag return, and telemetry. Tag-recapture methods are typically used to estimate population size and other demographic parameters but are often difficult to apply in large systems. A fishing tournament can be an effective way of generating tagging or recapture effort in large systems, compared to using research sampling only. Tag-return methods that rely on angler harvest and catch and release can be used to estimate fishing (F) and natural (M) mortality rates and are a practical approach in large reservoirs. The key to success in tag-return studies is to build in auxiliary studies to estimate short-term tagging mortality, short- and longterm tag loss, reporting rate, and mortality associated with catch and release. F and M can also be estimated using telemetry tags. Advantages of this approach are that angler nonreporting does not bias estimates and fish with transmitters provide useful ecological data. Cost can be a disadvantage of telemetry studies; thus, combining telemetry tags with conventional tag returns in an integrated analysis is often the optimal approach. In summary, tagging methods can be a powerful tool for assessing the effectiveness of inland striped bass stocking programs and the relative impact of fishing versus natural mortality
","language":"English","publisher":"American Fisheries Society","usgsCitation":"Hightower, J.E., and Pollock, K.H., 2013, Tagging methods for estimating population size and mortality rates of inland striped bass populations: American Fisheries Society Symposium, v. 80, p. 249-262.","productDescription":"14 p.","startPage":"249","endPage":"262","ipdsId":"IP-020098","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254c8","contributors":{"authors":[{"text":"Hightower, Joseph E. jhightower@usgs.gov","contributorId":835,"corporation":false,"usgs":true,"family":"Hightower","given":"Joseph","email":"jhightower@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":723863,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193552,"text":"70193552 - 2013 - A statistical analysis of the global historical volcanic fatalities record","interactions":[],"lastModifiedDate":"2019-03-26T09:00:05","indexId":"70193552","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"A statistical analysis of the global historical volcanic fatalities record","docAbstract":"A new database of volcanic fatalities is presented and analysed, covering the period 1600 to 2010 AD. Data are from four sources: the Smithsonian Institution, Witham (2005), CRED EM-DAT and Munich RE. The data were combined and formatted, with a weighted average fatality figure used where more than one source reports an event; the former two databases were weighted twice as strongly as the latter two. More fatal incidents are contained within our database than similar previous works; approximately 46% of the fatal incidents are listed in only one of the four sources, and fewer than 10% are in all four. 278,880 fatalities are recorded in the database, resultant from 533 fatal incidents. The fatality count is dominated by a handful of disasters, though the majority of fatal incidents have caused fewer than ten fatalities. Number and empirical probability of fatalities are broadly correlated with VEI, but are more strongly influenced by population density around volcanoes and the occurrence and extent of lahars (mudflows) and pyroclastic density currents, which have caused 50% of fatalities. Indonesia, the Philippines, and the West Indies dominate the spatial distribution of fatalities, and there is some negative correlation between regional development and number of fatalities. With the largest disasters removed, over 90% of fatalities occurred between 5 km and 30 km from volcanoes, though the most devastating eruptions impacted far beyond these distances. A new measure, the Volcano Fatality Index, is defined to explore temporal changes in societal vulnerability to volcanic hazards. The measure incorporates population growth and recording improvements with the fatality data, and shows prima facie evidence that vulnerability to volcanic hazards has fallen during the last two centuries. Results and interpretations are limited in scope by the underlying fatalities data, which are affected by under-recording, uncertainty, and bias. Attempts have been made to estimate the extent of these issues, and to remove their effects where possible.
The data analysed here are provided as supplementary material. An updated version of the Smithsonian fatality database fully integrated with this database will be publicly available in the near future and subsequently incorporate new data.
","language":"English","publisher":"Springer","doi":"10.1186/2191-5040-2-2","usgsCitation":"Auker, M.R., Sparks, R.S., Siebert, L., Crosweller, H.S., and Ewert, J.W., 2013, A statistical analysis of the global historical volcanic fatalities record: Journal of Applied Volcanology, v. 2, p. 1-24, https://doi.org/10.1186/2191-5040-2-2.","productDescription":"Article 2, 24 p.","startPage":"1","endPage":"24","ipdsId":"IP-042423","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":474043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/2191-5040-2-2","text":"Publisher Index Page"},{"id":348076,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2013-02-14","publicationStatus":"PW","scienceBaseUri":"59fc2eafe4b0531197b28003","contributors":{"authors":[{"text":"Auker, Melanie Rose","contributorId":149572,"corporation":false,"usgs":false,"family":"Auker","given":"Melanie","email":"","middleInitial":"Rose","affiliations":[],"preferred":false,"id":719488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparks, Robert Stephen John","contributorId":199575,"corporation":false,"usgs":false,"family":"Sparks","given":"Robert","email":"","middleInitial":"Stephen John","affiliations":[],"preferred":false,"id":719489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siebert, Lee","contributorId":29898,"corporation":false,"usgs":true,"family":"Siebert","given":"Lee","affiliations":[],"preferred":false,"id":719490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crosweller, H. S.","contributorId":149560,"corporation":false,"usgs":false,"family":"Crosweller","given":"H.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":719491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewert, John W. 0000-0003-2819-4057 jwewert@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-4057","contributorId":642,"corporation":false,"usgs":true,"family":"Ewert","given":"John","email":"jwewert@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":719492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70180163,"text":"70180163 - 2013 - On the identification of a Pliocene time slice for data–model comparison","interactions":[],"lastModifiedDate":"2017-01-25T10:27:28","indexId":"70180163","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3047,"text":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","active":true,"publicationSubtype":{"id":10}},"title":"On the identification of a Pliocene time slice for data–model comparison","docAbstract":"The characteristics of the mid-Pliocene warm period (mPWP: 3.264–3.025 Ma BP) have been examined using geological proxies and climate models. While there is agreement between models and data, details of regional climate differ. Uncertainties in prescribed forcings and in proxy data limit the utility of the interval to understand the dynamics of a warmer than present climate or evaluate models. This uncertainty comes, in part, from the reconstruction of a time slab rather than a time slice, where forcings required by climate models can be more adequately constrained. Here, we describe the rationale and approach for identifying a time slice(s) for Pliocene environmental reconstruction. A time slice centred on 3.205 Ma BP (3.204–3.207 Ma BP) has been identified as a priority for investigation. It is a warm interval characterized by a negative benthic oxygen isotope excursion (0.21–0.23‰) centred on marine isotope stage KM5c (KM5.3). It occurred during a period of orbital forcing that was very similar to present day. Climate model simulations indicate that proxy temperature estimates are unlikely to be significantly affected by orbital forcing for at least a precession cycle centred on the time slice, with the North Atlantic potentially being an important exception.
","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsta.2012.0515","usgsCitation":"Haywood, A.M., Dolan, A.M., Pickering, S.J., Dowsett, H.J., McClymont, E.L., Prescott, C.L., Salzmann, U., Hill, D.J., Hunter, S.J., Lunt, D.J., Pope, J.O., and Valdes, P.J., 2013, On the identification of a Pliocene time slice for data–model comparison: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, no. 2001, p. 1-21, https://doi.org/10.1098/rsta.2012.0515.","productDescription":"21 p.","startPage":"1","endPage":"21","ipdsId":"IP-039635","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsta.2012.0515","text":"Publisher Index Page"},{"id":333885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"2001","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"5889c79be4b0ba3b075e05df","contributors":{"authors":[{"text":"Haywood, Alan M.","contributorId":86663,"corporation":false,"usgs":true,"family":"Haywood","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, Aisling M.","contributorId":30117,"corporation":false,"usgs":true,"family":"Dolan","given":"Aisling","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":660570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pickering, Steven J.","contributorId":147378,"corporation":false,"usgs":false,"family":"Pickering","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660571,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","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}],"preferred":true,"id":660572,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClymont, Erin L.","contributorId":178700,"corporation":false,"usgs":false,"family":"McClymont","given":"Erin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660573,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prescott, Caroline L.","contributorId":178703,"corporation":false,"usgs":false,"family":"Prescott","given":"Caroline","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":660574,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Salzmann, Ulrich","contributorId":173101,"corporation":false,"usgs":false,"family":"Salzmann","given":"Ulrich","email":"","affiliations":[{"id":18103,"text":"Northumbria University, Newcastle Upon Tyne, UK","active":true,"usgs":false}],"preferred":false,"id":660575,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hill, Daniel J.","contributorId":80993,"corporation":false,"usgs":true,"family":"Hill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660576,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunter, Stephen J.","contributorId":55711,"corporation":false,"usgs":true,"family":"Hunter","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660577,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lunt, Daniel J.","contributorId":101168,"corporation":false,"usgs":true,"family":"Lunt","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660586,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pope, James O.","contributorId":173148,"corporation":false,"usgs":false,"family":"Pope","given":"James","email":"","middleInitial":"O.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":660587,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Valdes, Paul J.","contributorId":6354,"corporation":false,"usgs":true,"family":"Valdes","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":660588,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70193015,"text":"70193015 - 2013 - A critique of the use of indicator-species scores for identifying thresholds in species responses","interactions":[],"lastModifiedDate":"2017-11-21T13:56:53","indexId":"70193015","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"A critique of the use of indicator-species scores for identifying thresholds in species responses","docAbstract":"Identification of ecological thresholds is important both for theoretical and applied ecology. Recently, Baker and King (2010, King and Baker 2010) proposed a method, threshold indicator analysis (TITAN), to calculate species and community thresholds based on indicator species scores adapted from Dufrêne and Legendre (1997). We tested the ability of TITAN to detect thresholds using models with (broken-stick, disjointed broken-stick, dose-response, step-function, Gaussian) and without (linear) definitive thresholds. TITAN accurately and consistently detected thresholds in step-function models, but not in models characterized by abrupt changes in response slopes or response direction. Threshold detection in TITAN was very sensitive to the distribution of 0 values, which caused TITAN to identify thresholds associated with relatively small differences in the distribution of 0 values while ignoring thresholds associated with large changes in abundance. Threshold identification and tests of statistical significance were based on the same data permutations resulting in inflated estimates of statistical significance. Application of bootstrapping to the split-point problem that underlies TITAN led to underestimates of the confidence intervals of thresholds. Bias in the derivation of the z-scores used to identify TITAN thresholds and skewedness in the distribution of data along the gradient produced TITAN thresholds that were much more similar than the actual thresholds. This tendency may account for the synchronicity of thresholds reported in TITAN analyses. The thresholds identified by TITAN represented disparate characteristics of species responses that, when coupled with the inability of TITAN to identify thresholds accurately and consistently, does not support the aggregation of individual species thresholds into a community threshold.
","language":"English","publisher":"The University of Chicago Press","doi":"10.1899/12-056.1","usgsCitation":"Cuffney, T.F., and Qian, S.S., 2013, A critique of the use of indicator-species scores for identifying thresholds in species responses: Freshwater Science, v. 32, no. 2, p. 471-488, https://doi.org/10.1899/12-056.1.","productDescription":"18 p.","startPage":"471","endPage":"488","ipdsId":"IP-037231","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":474030,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1899/12-056.1","text":"External Repository"},{"id":349218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a610313e4b06e28e9c254be","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S.","contributorId":198934,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":717657,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70003695,"text":"70003695 - 2013 - Computationally efficient statistical differential equation modeling using homogenization","interactions":[],"lastModifiedDate":"2017-02-24T14:33:43","indexId":"70003695","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Computationally efficient statistical differential equation modeling using homogenization","docAbstract":"Statistical models using partial differential equations (PDEs) to describe dynamically evolving natural systems are appearing in the scientific literature with some regularity in recent years. Often such studies seek to characterize the dynamics of temporal or spatio-temporal phenomena such as invasive species, consumer-resource interactions, community evolution, and resource selection. Specifically, in the spatial setting, data are often available at varying spatial and temporal scales. Additionally, the necessary numerical integration of a PDE may be computationally infeasible over the spatial support of interest. We present an approach to impose computationally advantageous changes of support in statistical implementations of PDE models and demonstrate its utility through simulation using a form of PDE known as “ecological diffusion.” We also apply a statistical ecological diffusion model to a data set involving the spread of mountain pine beetle (Dendroctonus ponderosae) in Idaho, USA.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Agricultural, Biological, and Environmental Statistics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13253-013-0147-9","usgsCitation":"Hooten, M., Garlick, M.J., and Powell, J., 2013, Computationally efficient statistical differential equation modeling using homogenization: Journal of Agricultural, Biological, and Environmental Statistics, v. 18, no. 3, p. 405-428, https://doi.org/10.1007/s13253-013-0147-9.","productDescription":"24 p.","startPage":"405","endPage":"428","ipdsId":"IP-029256","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":273482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273481,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13253-013-0147-9"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-05-29","publicationStatus":"PW","scienceBaseUri":"51b6f565e4b0097a7158e59b","contributors":{"authors":[{"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":348376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garlick, Martha J.","contributorId":19067,"corporation":false,"usgs":true,"family":"Garlick","given":"Martha","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":348377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powell, James A.","contributorId":53514,"corporation":false,"usgs":true,"family":"Powell","given":"James A.","affiliations":[],"preferred":false,"id":348378,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173624,"text":"70173624 - 2013 - Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery","interactions":[],"lastModifiedDate":"2021-04-02T16:42:48.793655","indexId":"70173624","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery","docAbstract":"We evaluated use of MODIS 250 m imagery for remote lake monitoring in Maine. Despite limited spectral resolution (visible red and near infrared bands), the twice daily image capture has a potential advantage over conventionally used, often cloudy Landsat imagery (16 day interval) when short time windows are of interest. We analyzed 364 eligible (≥100 ha) Maine lakes during late summer (Aug–early Sep) 2000–2011. The red band was strongly correlated with natural log-transformed Secchi depth (SD), and the addition of ancillary lake and watershed variables explained some variability in ln(SD) (R2 = 0.68–0.85; 9 models). Weak spectral resolution and variable lake conditions limited accurate lake monitoring to relatively productive periods in late summer, as indicated by inconsistent, sometimes weak regressions during June and July when lakes were clearer and less stable (R2 = 0.19–0.74; 8 models). Additionally, SD estimates derived from 2 sets of concurrent MODIS and Landsat imagery generally did not agree unless Landsat imagery (30 m) was resampled to 250 m, likely owing to various factors related to scale. Average MODIS estimates exceeded those of Landsat by 0.35 and 0.49 m on the 2 dates. Overall, MODIS 250 m imagery are potentially useful for remote lake monitoring during productive periods when Landsat data are unavailable; however, analyses must occur when algal communities are stable and well-developed, are biased toward large lakes, may overestimate SD, and accuracy may be unreliable without non-spectral lake predictors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2013.778926","usgsCitation":"Ian M. McCullough, Loftin, C., and Sader, S.A., 2013, Lakes without Landsat? Implications of scale and an alternative approach to regional remote lake monitoring using MODIS 250 m imagery: Lake and Reservoir Management, v. 29, no. 2, p. 89-98, https://doi.org/10.1080/10402381.2013.778926.","productDescription":"10 p.","startPage":"89","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-039304","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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