{"pageNumber":"825","pageRowStart":"20600","pageSize":"25","recordCount":40778,"records":[{"id":70044481,"text":"70044481 - 2010 - Mid-Piacensian mean annual sea surface temperature: an analysis for data-model comparisons","interactions":[],"lastModifiedDate":"2013-04-30T11:18:00","indexId":"70044481","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Piacensian mean annual sea surface temperature: an analysis for data-model comparisons","docAbstract":"Numerical models of the global climate system are the primary tools used to understand and project climate disruptions in the form of future global warming. The Pliocene has been identified as the closest, albeit imperfect, analog to climate conditions expected for the end of this century, making an independent data set of Pliocene conditions necessary for ground truthing model results. Because most climate model output is produced in the form ofmean annual conditions, we present a derivative of the USGS PRISM3 Global Climate Reconstruction which integrates multiple proxies of sea surface temperature (SST) into single surface temperature anomalies. We analyze temperature estimates from faunal and floral assemblage data,Mg/Ca values and alkenone unsaturation indices to arrive at a single mean annual SST anomaly (Pliocene minus modern) best describing each PRISM site, understanding that multiple proxies should not necessarily show concordance. The power of themultiple proxy approach lies within its diversity, as no two proxies measure the same environmental variable. This data set can be used to verify climate model output, to serve as a starting point for model inter-comparisons, and for quantifying uncertainty in Pliocene model prediction in perturbed physics ensembles.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Stratigraphy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Micropaleontology Press","usgsCitation":"Dowsett, H.J., Robinson, M.M., Foley, K.M., and Stoll, D.K., 2010, Mid-Piacensian mean annual sea surface temperature: an analysis for data-model comparisons: Stratigraphy, v. 7, no. 2-3, p. 189-198.","productDescription":"10 p.","startPage":"189","endPage":"198","additionalOnlineFiles":"N","ipdsId":"IP-025169","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271645,"type":{"id":11,"text":"Document"},"url":"https://www.micropress.org/micropen2/articles/1/6/16999_articles_article_file_1696.pdf"},{"id":271646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5180e7e7e4b0df838b924d6e","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":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":475699,"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":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":475700,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":475701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoll, Danielle K.","contributorId":88236,"corporation":false,"usgs":true,"family":"Stoll","given":"Danielle","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":475702,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037567,"text":"70037567 - 2010 - Analysis of the Arctic system for freshwater cycle intensification: Observations and expectations","interactions":[],"lastModifiedDate":"2019-09-05T08:23:57","indexId":"70037567","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of the Arctic system for freshwater cycle intensification: Observations and expectations","docAbstract":"Hydrologic cycle intensification is an expected manifestation of a warming climate. Although positive trends in several global average quantities have been reported, no previous studies have documented broad intensification across elements of the Arctic freshwater cycle (FWC). In this study, the authors examine the character and quantitative significance of changes in annual precipitation, evapotranspiration, and river discharge across the terrestrial pan-Arctic over the past several decades from observations and a suite of coupled general circulation models (GCMs). Trends in freshwater flux and storage derived from observations across the Arctic Ocean and surrounding seas are also described.\n\nWith few exceptions, precipitation, evapotranspiration, and river discharge fluxes from observations and the GCMs exhibit positive trends. Significant positive trends above the 90% confidence level, however, are not present for all of the observations. Greater confidence in the GCM trends arises through lower interannual variability relative to trend magnitude. Put another way, intrinsic variability in the observations tends to limit confidence in trend robustness. Ocean fluxes are less certain, primarily because of the lack of long-term observations. Where available, salinity and volume flux data suggest some decrease in saltwater inflow to the Barents Sea (i.e., a decrease in freshwater outflow) in recent decades. A decline in freshwater storage across the central Arctic Ocean and suggestions that large-scale circulation plays a dominant role in freshwater trends raise questions as to whether Arctic Ocean freshwater flows are intensifying. Although oceanic fluxes of freshwater are highly variable and consistent trends are difficult to verify, the other components of the Arctic FWC do show consistent positive trends over recent decades. The broad-scale increases provide evidence that the Arctic FWC is experiencing intensification. Efforts that aim to develop an adequate observation system are needed to reduce uncertainties and to detect and document ongoing changes in all system components for further evidence of Arctic FWC intensification.","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2010JCLI3421.1","issn":"08948755","usgsCitation":"Rawlins, M., Steele, M., Holland, M., Adam, J., Cherry, J., Francis, J., Groisman, P., Hinzman, L., Huntington, T., Kane, D., Kimball, J., Kwok, R., Lammers, R., Lee, C., Lettenmaier, D., McDonald, K., Podest, E., Pundsack, J., Rudels, B., Serreze, M.C., Shiklomanov, A., Skagseth, O., Troy, T., Vorosmarty, C., Wensnahan, M., Wood, E., Woodgate, R., Yang, D., Zhang, K., and Zhang, T., 2010, Analysis of the Arctic system for freshwater cycle intensification: Observations and expectations: Journal of Climate, v. 23, no. 21, p. 5715-5737, https://doi.org/10.1175/2010JCLI3421.1.","productDescription":"23 p.","startPage":"5715","endPage":"5737","ipdsId":"IP-017451","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":475785,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/2010jcli3421.1","text":"Publisher Index Page"},{"id":245980,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218005,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1175/2010JCLI3421.1"}],"volume":"23","issue":"21","noUsgsAuthors":false,"publicationDate":"2010-11-01","publicationStatus":"PW","scienceBaseUri":"5059eb38e4b0c8380cd48cc3","contributors":{"authors":[{"text":"Rawlins, M.A.","contributorId":73445,"corporation":false,"usgs":true,"family":"Rawlins","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":461641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steele, M.","contributorId":96122,"corporation":false,"usgs":true,"family":"Steele","given":"M.","email":"","affiliations":[],"preferred":false,"id":461649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holland, M.M.","contributorId":13074,"corporation":false,"usgs":true,"family":"Holland","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":461625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adam, J.C.","contributorId":23793,"corporation":false,"usgs":true,"family":"Adam","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":461626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, J.E.","contributorId":77398,"corporation":false,"usgs":true,"family":"Cherry","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":461642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Francis, J.A.","contributorId":64490,"corporation":false,"usgs":true,"family":"Francis","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":461636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Groisman, P.Y.","contributorId":43603,"corporation":false,"usgs":true,"family":"Groisman","given":"P.Y.","email":"","affiliations":[],"preferred":false,"id":461631,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hinzman, L. 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J.","contributorId":104232,"corporation":false,"usgs":false,"family":"Vorosmarty","given":"C. 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,{"id":70037566,"text":"70037566 - 2010 - Future dryness in the Southwest US and the hydrology of the early 21st century drought","interactions":[],"lastModifiedDate":"2012-03-12T17:21:58","indexId":"70037566","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Future dryness in the Southwest US and the hydrology of the early 21st century drought","docAbstract":"Recently the Southwest has experienced a spate of dryness, which presents a challenge to the sustainability of current water use by human and natural systems in the region. In the Colorado River Basin, the early 21st century drought has been the most extreme in over a century of Colorado River flows, and might occur in any given century with probability of only 60%. However, hydrological model runs from downscaled Intergovernmental Panel on Climate Change Fourth Assessment climate change simulations suggest that the region is likely to become drier and experience more severe droughts than this. In the latter half of the 21st century the models produced considerably greater drought activity, particularly in the Colorado River Basin, as judged from soil moisture anomalies and other hydrological measures. As in the historical record, most of the simulated extreme droughts build up and persist over many years. Durations of depleted soil moisture over the historical record ranged from 4 to 10 years, but in the 21st century simulations, some of the dry events persisted for 12 years or more. Summers during the observed early 21st century drought were remarkably warm, a feature also evident in many simulated droughts of the 21st century. These severe future droughts are aggravated by enhanced, globally warmed temperatures that reduce spring snowpack and late spring and summer soil moisture. As the climate continues to warm and soil moisture deficits accumulate beyond historical levels, the model simulations suggest that sustaining water supplies in parts of the Southwest will be a challenge.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of the National Academy of Sciences of the United States of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1073/pnas.0912391107","issn":"00278424","usgsCitation":"Cayan, D., Das, T., Pierce, D., Barnett, T., Tyree, M., and Gershunova, A., 2010, Future dryness in the Southwest US and the hydrology of the early 21st century drought: Proceedings of the National Academy of Sciences of the United States of America, v. 107, no. 50, p. 21271-21276, https://doi.org/10.1073/pnas.0912391107.","startPage":"21271","endPage":"21276","numberOfPages":"6","costCenters":[],"links":[{"id":475782,"rank":10000,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3003012","text":"External Repository"},{"id":217988,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.0912391107"},{"id":245963,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"50","noUsgsAuthors":false,"publicationDate":"2010-12-07","publicationStatus":"PW","scienceBaseUri":"505a1431e4b0c8380cd5494c","contributors":{"authors":[{"text":"Cayan, D.R.","contributorId":25961,"corporation":false,"usgs":false,"family":"Cayan","given":"D.R.","email":"","affiliations":[{"id":16196,"text":"Scripps Institution of Oceanography, La Jolla, CA","active":true,"usgs":false}],"preferred":false,"id":461618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Das, T.","contributorId":99383,"corporation":false,"usgs":true,"family":"Das","given":"T.","email":"","affiliations":[],"preferred":false,"id":461622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, D.W.","contributorId":23342,"corporation":false,"usgs":true,"family":"Pierce","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":461617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barnett, T.P.","contributorId":54763,"corporation":false,"usgs":true,"family":"Barnett","given":"T.P.","email":"","affiliations":[],"preferred":false,"id":461620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyree, Mary","contributorId":85414,"corporation":false,"usgs":true,"family":"Tyree","given":"Mary","email":"","affiliations":[],"preferred":false,"id":461621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gershunova, A.","contributorId":35993,"corporation":false,"usgs":true,"family":"Gershunova","given":"A.","email":"","affiliations":[],"preferred":false,"id":461619,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70034076,"text":"70034076 - 2010 - Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","interactions":[],"lastModifiedDate":"2012-03-12T17:21:50","indexId":"70034076","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003","docAbstract":"The overarching goal of this research was to develop methods and protocols for mapping irrigated areas using a Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series, to generate irrigated area statistics, and to compare these with ground- and census-based statistics. The primary mega-file data-cube (MFDC), comparable to a hyper-spectral data cube, used in this study consisted of 952 bands of data in a single file that were derived from MODIS 500 m, 7-band reflectance data acquired every 8-days during 2001-2003. The methods consisted of (a) segmenting the 952-band MFDC based not only on elevation-precipitation-temperature zones but on major and minor irrigated command area boundaries obtained from India's Central Board of Irrigation and Power (CBIP), (b) developing a large ideal spectral data bank (ISDB) of irrigated areas for India, (c) adopting quantitative spectral matching techniques (SMTs) such as the spectral correlation similarity (SCS) R<sup>2</sup>-value, (d) establishing a comprehensive set of protocols for class identification and labeling, and (e) comparing the results with the National Census data of India and field-plot data gathered during this project for determining accuracies, uncertainties and errors. The study produced irrigated area maps and statistics of India at the national and the subnational (e.g., state, district) levels based on MODIS data from 2001-2003. The Total Area Available for Irrigation (TAAI) and Annualized Irrigated Areas (AIAs) were 113 and 147 million hectares (MHa), respectively. The TAAI does not consider the intensity of irrigation, and its nearest equivalent is the net irrigated areas in the Indian National Statistics. The AIA considers intensity of irrigation and is the equivalent of \"irrigated potential utilized (IPU)\" reported by India's Ministry of Water Resources (MoWR). The field-plot data collected during this project showed that the accuracy of TAAI classes was 88% with a 12% error of omission and 32% of error of commission. Comparisons between the AIA and IPU produced an R<sup>2</sup>-value of 0.84. However, AIA was consistently higher than IPU. The causes for differences were both in traditional approaches and remote sensing. The causes of uncertainties unique to traditional approaches were (a) inadequate accounting of minor irrigation (groundwater, small reservoirs and tanks), (b) unwillingness to share irrigated area statistics by the individual Indian states because of their stakes, (c) absence of comprehensive statistical analyses of reported data, and (d) subjectivity involved in observation-based data collection process. The causes of uncertainties unique to remote sensing approaches were (a) irrigated area fraction estimate and related sub-pixel area computations and (b) resolution of the imagery. The causes of uncertainties common in both traditional and remote sensing approaches were definitions and methodological issues. ?? 2009 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"ISPRS Journal of Photogrammetry and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.isprsjprs.2009.08.004","issn":"09242716","usgsCitation":"Dheeravath, V., Thenkabail, P., Chandrakantha, G., Noojipady, P., Reddy, G., Biradar, C., Gumma, M., and Velpuri, M., 2010, Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003: ISPRS Journal of Photogrammetry and Remote Sensing, v. 65, no. 1, p. 42-59, https://doi.org/10.1016/j.isprsjprs.2009.08.004.","startPage":"42","endPage":"59","numberOfPages":"18","costCenters":[],"links":[{"id":216511,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.isprsjprs.2009.08.004"},{"id":244388,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3f08e4b0c8380cd641f0","contributors":{"authors":[{"text":"Dheeravath, V.","contributorId":55234,"corporation":false,"usgs":true,"family":"Dheeravath","given":"V.","affiliations":[],"preferred":false,"id":443959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, P.S.","contributorId":66071,"corporation":false,"usgs":true,"family":"Thenkabail","given":"P.S.","email":"","affiliations":[],"preferred":false,"id":443960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandrakantha, G.","contributorId":39610,"corporation":false,"usgs":true,"family":"Chandrakantha","given":"G.","email":"","affiliations":[],"preferred":false,"id":443957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noojipady, P.","contributorId":42453,"corporation":false,"usgs":true,"family":"Noojipady","given":"P.","affiliations":[],"preferred":false,"id":443958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reddy, G.P.O.","contributorId":14666,"corporation":false,"usgs":true,"family":"Reddy","given":"G.P.O.","email":"","affiliations":[],"preferred":false,"id":443955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biradar, C.M.","contributorId":35563,"corporation":false,"usgs":true,"family":"Biradar","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":443956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gumma, M.K.","contributorId":12286,"corporation":false,"usgs":true,"family":"Gumma","given":"M.K.","email":"","affiliations":[],"preferred":false,"id":443954,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Velpuri, M. 0000-0002-6370-1926","orcid":"https://orcid.org/0000-0002-6370-1926","contributorId":7935,"corporation":false,"usgs":true,"family":"Velpuri","given":"M.","affiliations":[],"preferred":false,"id":443953,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70037252,"text":"70037252 - 2010 - Standards for documenting and monitoring bird reintroduction projects","interactions":[],"lastModifiedDate":"2019-06-05T08:09:54","indexId":"70037252","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Standards for documenting and monitoring bird reintroduction projects","docAbstract":"<p>It would be much easier to assess the effectiveness of different reintroduction methods, and so improve the success of reintroductions, if there was greater standardization in documentation of the methods and outcomes. We suggest a series of standards for documenting and monitoring the methods and outcomes associated with reintroduction projects for birds. Key suggestions are: documenting the planned release before it occurs, specifying the information required on each release, postrelease monitoring occurring at standard intervals of 1 and 5 years (and 10 for long-lived species), carrying out a population estimate unless impractical, distinguishing restocked and existing individuals when supplementing populations, and documenting the results. We suggest these principles would apply, largely unchanged, to other vertebrate classes. Similar methods could be adopted for invertebrates and plants with appropriate modification. We suggest that organizations publicly state whether they will adopt these approaches when undertaking reintroductions. Similar standardization would be beneficial for a wide range of topics in environmental monitoring, ecological studies, and practical conservation.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1755-263X.2010.00113.x","issn":"1755263X","usgsCitation":"Sutherland, W., Armstrong, D., Butchart, S., Earnhardt, J., Ewen, J., Jamieson, I., Jones, C., Lee, R., Newbery, P., Nichols, J., Parker, K., Sarrazin, F., Seddon, P., Shah, N., and Tatayah, V., 2010, Standards for documenting and monitoring bird reintroduction projects: Conservation Letters, v. 3, no. 4, p. 229-235, https://doi.org/10.1111/j.1755-263X.2010.00113.x.","productDescription":"7 p.","startPage":"229","endPage":"235","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":475928,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1755-263x.2010.00113.x","text":"Publisher Index Page"},{"id":245220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-08-02","publicationStatus":"PW","scienceBaseUri":"505b96b3e4b08c986b31b677","contributors":{"authors":[{"text":"Sutherland, W.J.","contributorId":21011,"corporation":false,"usgs":true,"family":"Sutherland","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":460088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armstrong, D.","contributorId":104486,"corporation":false,"usgs":true,"family":"Armstrong","given":"D.","email":"","affiliations":[],"preferred":false,"id":460098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butchart, S.H.M.","contributorId":77774,"corporation":false,"usgs":true,"family":"Butchart","given":"S.H.M.","affiliations":[],"preferred":false,"id":460093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earnhardt, J.M.","contributorId":108344,"corporation":false,"usgs":true,"family":"Earnhardt","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":460099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ewen, J.","contributorId":13466,"corporation":false,"usgs":true,"family":"Ewen","given":"J.","email":"","affiliations":[],"preferred":false,"id":460085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jamieson, I.","contributorId":80120,"corporation":false,"usgs":true,"family":"Jamieson","given":"I.","email":"","affiliations":[],"preferred":false,"id":460094,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, C.G.","contributorId":26164,"corporation":false,"usgs":true,"family":"Jones","given":"C.G.","email":"","affiliations":[],"preferred":false,"id":460089,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lee, R.","contributorId":97153,"corporation":false,"usgs":true,"family":"Lee","given":"R.","affiliations":[],"preferred":false,"id":460097,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newbery, P.","contributorId":76164,"corporation":false,"usgs":true,"family":"Newbery","given":"P.","email":"","affiliations":[],"preferred":false,"id":460092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nichols, J.D. 0000-0002-7631-2890","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":14332,"corporation":false,"usgs":true,"family":"Nichols","given":"J.D.","affiliations":[],"preferred":false,"id":460086,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Parker, K.A.","contributorId":88182,"corporation":false,"usgs":true,"family":"Parker","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":460095,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sarrazin, F.","contributorId":44390,"corporation":false,"usgs":true,"family":"Sarrazin","given":"F.","email":"","affiliations":[],"preferred":false,"id":460090,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Seddon, P.J.","contributorId":55242,"corporation":false,"usgs":true,"family":"Seddon","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":460091,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shah, N.","contributorId":91278,"corporation":false,"usgs":true,"family":"Shah","given":"N.","email":"","affiliations":[],"preferred":false,"id":460096,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tatayah, V.","contributorId":15862,"corporation":false,"usgs":true,"family":"Tatayah","given":"V.","affiliations":[],"preferred":false,"id":460087,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70035360,"text":"70035360 - 2010 - Modelling detection probabilities to evaluate management and control tools for an invasive species","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035360","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Modelling detection probabilities to evaluate management and control tools for an invasive species","docAbstract":"For most ecologists, detection probability (p) is a nuisance variable that must be modelled to estimate the state variable of interest (i.e. survival, abundance, or occupancy). However, in the realm of invasive species control, the rate of detection and removal is the rate-limiting step for management of this pervasive environmental problem. For strategic planning of an eradication (removal of every individual), one must identify the least likely individual to be removed, and determine the probability of removing it. To evaluate visual searching as a control tool for populations of the invasive brown treesnake Boiga irregularis, we designed a mark-recapture study to evaluate detection probability as a function of time, gender, size, body condition, recent detection history, residency status, searcher team and environmental covariates. We evaluated these factors using 654 captures resulting from visual detections of 117 snakes residing in a 5-ha semi-forested enclosure on Guam, fenced to prevent immigration and emigration of snakes but not their prey. Visual detection probability was low overall (= 0??07 per occasion) but reached 0??18 under optimal circumstances. Our results supported sex-specific differences in detectability that were a quadratic function of size, with both small and large females having lower detection probabilities than males of those sizes. There was strong evidence for individual periodic changes in detectability of a few days duration, roughly doubling detection probability (comparing peak to non-elevated detections). Snakes in poor body condition had estimated mean detection probabilities greater than snakes with high body condition. Search teams with high average detection rates exhibited detection probabilities about twice that of search teams with low average detection rates. Surveys conducted with bright moonlight and strong wind gusts exhibited moderately decreased probabilities of detecting snakes. Synthesis and applications. By emphasizing and modelling detection probabilities, we now know: (i) that eradication of this species by searching is possible, (ii) how much searching effort would be required, (iii) under what environmental conditions searching would be most efficient, and (iv) several factors that are likely to modulate this quantification when searching is applied to new areas. The same approach can be use for evaluation of any control technology or population monitoring programme. ?? 2009 The Authors. Journal compilation ?? 2009 British Ecological Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1365-2664.2009.01753.x","issn":"00218901","usgsCitation":"Christy, M., Yackel Adams, A., Rodda, G., Savidge, J.A., and Tyrrell, C., 2010, Modelling detection probabilities to evaluate management and control tools for an invasive species: Journal of Applied Ecology, v. 47, no. 1, p. 106-113, https://doi.org/10.1111/j.1365-2664.2009.01753.x.","startPage":"106","endPage":"113","numberOfPages":"8","costCenters":[],"links":[{"id":475805,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1365-2664.2009.01753.x","text":"Publisher Index Page"},{"id":215129,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2664.2009.01753.x"},{"id":242907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-01-29","publicationStatus":"PW","scienceBaseUri":"505a5c66e4b0c8380cd6fc78","contributors":{"authors":[{"text":"Christy, M.T.","contributorId":20968,"corporation":false,"usgs":true,"family":"Christy","given":"M.T.","email":"","affiliations":[],"preferred":false,"id":450327,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, A. A. 0000-0002-7044-8447","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":16792,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"A. A.","affiliations":[],"preferred":false,"id":450326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodda, G.H.","contributorId":103998,"corporation":false,"usgs":true,"family":"Rodda","given":"G.H.","email":"","affiliations":[],"preferred":false,"id":450330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Savidge, J. A.","contributorId":36078,"corporation":false,"usgs":false,"family":"Savidge","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tyrrell, C.L.","contributorId":84551,"corporation":false,"usgs":true,"family":"Tyrrell","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":450329,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046771,"text":"dds49131 - 2010 - Catchments by major river basins in the conterminous United States: 30-Year average daily minimum temperature, 1971-2000","interactions":[],"lastModifiedDate":"2024-09-25T17:02:12.262653","indexId":"dds49131","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-31","title":"Catchments by major river basins in the conterminous United States: 30-Year average daily minimum temperature, 1971-2000","docAbstract":"This tabular data set represents thecatchment-average for the 30-year (1971-2000) average daily minimum temperature in Celsius multiplied by 100 compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were the United States Average Monthly or Annual Minimum Temperature, 1971 - 2000 raster data set produced by the PRISM Group at Oregon State University. The MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49131","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Catchments by major river basins in the conterminous United States: 30-Year average daily minimum temperature, 1971-2000: U.S. Geological Survey Data Series 491-31, Dataset, https://doi.org/10.3133/dds49131.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":274441,"rank":1,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_tmin30yr.xml"},{"id":274442,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n      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,{"id":70046768,"text":"dds49128 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:06:07","indexId":"dds49128","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-28","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002","docAbstract":"This tabular data set represents the average daily maximum temperature in Celsius multiplied by 100 for 2002, compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster data set produced by the Spatial Climate Analysis Service at Oregon State University.\nThe MRB_E2RF1 catchments are based on a modified version of the Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2008). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49128","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Average Daily Maximum Temperature, 2002: U.S. Geological Survey Data Series 491-28, Dataset, https://doi.org/10.3133/dds49128.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274436,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_tmax02.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f662e4b09630fbdc5275","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480195,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037535,"text":"70037535 - 2010 - Numerical simulation of a low-lying barrier island's morphological response to Hurricane Katrina","interactions":[],"lastModifiedDate":"2012-03-12T17:22:05","indexId":"70037535","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulation of a low-lying barrier island's morphological response to Hurricane Katrina","docAbstract":"Tropical cyclones that enter or form in the Gulf of Mexico generate storm surge and large waves that impact low-lying coastlines along the Gulf Coast. The Chandeleur Islands, located 161. km east of New Orleans, Louisiana, have endured numerous hurricanes that have passed nearby. Hurricane Katrina (landfall near Waveland MS, 29 Aug 2005) caused dramatic changes to the island elevation and shape. In this paper the predictability of hurricane-induced barrier island erosion and accretion is evaluated using a coupled hydrodynamic and morphodynamic model known as XBeach. Pre- and post-storm island topography was surveyed with an airborne lidar system. Numerical simulations utilized realistic surge and wave conditions determined from larger-scale hydrodynamic models. Simulations included model sensitivity tests with varying grid size and temporal resolutions. Model-predicted bathymetry/topography and post-storm survey data both showed similar patterns of island erosion, such as increased dissection by channels. However, the model under predicted the magnitude of erosion. Potential causes for under prediction include (1) errors in the initial conditions (the initial bathymetry/topography was measured three years prior to Katrina), (2) errors in the forcing conditions (a result of our omission of storms prior to Katrina and/or errors in Katrina storm conditions), and/or (3) physical processes that were omitted from the model (e.g., inclusion of sediment variations and bio-physical processes). ?? 2010.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Coastal Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.coastaleng.2010.06.004","issn":"03783839","usgsCitation":"Lindemer, C., Plant, N., Puleo, J., Thompson, D., and Wamsley, T., 2010, Numerical simulation of a low-lying barrier island's morphological response to Hurricane Katrina: Coastal Engineering, v. 57, no. 11-12, p. 985-995, https://doi.org/10.1016/j.coastaleng.2010.06.004.","startPage":"985","endPage":"995","numberOfPages":"11","costCenters":[],"links":[{"id":246008,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218031,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.coastaleng.2010.06.004"}],"volume":"57","issue":"11-12","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6906e4b0c8380cd73b1f","contributors":{"authors":[{"text":"Lindemer, C.A.","contributorId":11862,"corporation":false,"usgs":true,"family":"Lindemer","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":461492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, N.G.","contributorId":94023,"corporation":false,"usgs":true,"family":"Plant","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":461495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Puleo, Jack A.","contributorId":108287,"corporation":false,"usgs":true,"family":"Puleo","given":"Jack A.","affiliations":[],"preferred":false,"id":461496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, D.M.","contributorId":16570,"corporation":false,"usgs":true,"family":"Thompson","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":461493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wamsley, T.V.","contributorId":60477,"corporation":false,"usgs":true,"family":"Wamsley","given":"T.V.","email":"","affiliations":[],"preferred":false,"id":461494,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046761,"text":"dds49125 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Surficial Geology","interactions":[],"lastModifiedDate":"2013-11-25T16:05:41","indexId":"dds49125","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-25","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Surficial Geology","docAbstract":"This tabular data set represents the area of surficial geology types in square meters compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data set is the \"Digital data set describing surficial geology in the conterminous US\" (Clawges and Price, 1999).The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2008). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49125","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Surficial Geology: U.S. Geological Survey Data Series 491-25, Dataset, https://doi.org/10.3133/dds49125.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274415,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_sgeol.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d3f663e4b09630fbdc5281","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480180,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046735,"text":"dds49113 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Nutrient Ecoregions, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:09:00","indexId":"dds49113","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-13","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Nutrient Ecoregions, 2002","docAbstract":"This tabular data set represents the area of each level 3 nutrient ecoregion in square meters compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data are from the 2002 version of the U.S. Environmental Protection Agency's (USEPA) Aggregations of Level III Ecoregions for National Nutrient Assessment & Management Strategy (USEPA, 2002). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49113","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Nutrient Ecoregions, 2002: U.S. Geological Survey Data Series 491-13, Dataset, https://doi.org/10.3133/dds49113.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274355,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_neco.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e3e4b0ca18483389ef","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046734,"text":"dds49112 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: NLCD 2001 Imperviousness","interactions":[],"lastModifiedDate":"2013-11-25T16:08:32","indexId":"dds49112","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-12","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: NLCD 2001 Imperviousness","docAbstract":"This tabular data set represents the mean percent impervious surface from the Imperviousness Layer of the National Land Cover Dataset 2001,  (LaMotte and Wieczorek, 2010), compiled for every MRB_E2RF1 catchment of selected Major River Basins (MRBs, Crawford and others, 2006). The source data set represents imperviousness for the conterminous United States for 2001. The Imperviousness Layer of the National Land Cover Data Set for 2001 was produced through a cooperative project conducted by the Multi-Resolution Land Characteristics (MRLC) Consortium. The MRLC Consortium is a partnership of Federal agencies (http://www.mrlc.gov), consisting of the U.S. Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the U.S. Environmental Protection Agency (USEPA), the U.S. Department of Agriculture (USDA), the U.S. Forest Service (USFS), the National Park Service (NPS), the U.S. Fish and Wildlife Service (USFWS), the Bureau of Land Management (BLM), and the USDA Natural Resources Conservation Service (NRCS). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002;Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49112","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: NLCD 2001 Imperviousness: U.S. Geological Survey Data Series 491-12, Dataset, https://doi.org/10.3133/dds49112.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[],"links":[{"id":274348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274347,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_imperv.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e3e4b0ca18483389fb","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480134,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046732,"text":"dds49110 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions","interactions":[],"lastModifiedDate":"2013-11-25T16:08:33","indexId":"dds49110","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-10","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions","docAbstract":"This tabular data set represents the area of Hydrologic Landscape Regions (HLR) compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data set is a 100-meter version of Hydrologic Landscape Regions of the United States (Wolock, 2003). HLR groups watersheds on the basis of similarities in land-surface form, geologic texture, and climate characteristics. The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49110","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Hydrologic Landscape Regions: U.S. Geological Survey Data Series 491-10, Dataset, https://doi.org/10.3133/dds49110.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274342,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274341,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_hlr.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e2e4b0ca18483389e7","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480129,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480130,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046731,"text":"dds49109 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Ecoregions","interactions":[],"lastModifiedDate":"2013-11-25T16:08:51","indexId":"dds49109","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-09","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Ecoregions","docAbstract":"This tabular data set represents the estimated area of level 3 ecological landscape regions (ecoregions), as defined by Omernik (1987), compiled for every MRB_E2RF1 catchment of the Major River Basins (MRBs, Crawford and others, 2006). The source data set is Level III Ecoregions of the Continental United States (U.S. Environmental Protection Agency, 2003). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49109","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Level 3 Ecoregions: U.S. Geological Survey Data Series 491-09, Dataset, https://doi.org/10.3133/dds49109.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274337,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_eco3.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e2e4b0ca18483389eb","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046730,"text":"dds49108 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Nutrient Application (Phosphorus and Nitrogen) for Fertilizer and Manure Applied to Crops (Cropsplit), 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:07:00","indexId":"dds49108","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-08","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Nutrient Application (Phosphorus and Nitrogen) for Fertilizer and Manure Applied to Crops (Cropsplit), 2002","docAbstract":"This tabular data set represents the estimated amount of phosphorus and nitrogen fertilizers applied to selected crops for the year 2002, compiled for every MRB_E2RF1 catchment of Major River Basins (MRBs, Crawford and others, 2006). The source data set is based on 2002 fertilizer data (Ruddy and others, 2006) and tabulated by crop type per county (Alexander and others, 2007). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for MRB_E2RF1 catchments for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49108","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Nutrient Application (Phosphorus and Nitrogen) for Fertilizer and Manure Applied to Crops (Cropsplit), 2002: U.S. Geological Survey Data Series 491-08, Dataset, https://doi.org/10.3133/dds49108.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274333,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_cropsplit.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e5e4b0ca1848338a0f","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480126,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037027,"text":"70037027 - 2010 - Migration of northern yellowstone elk: Implications of spatial structuring","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037027","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Migration of northern yellowstone elk: Implications of spatial structuring","docAbstract":"Migration can enhance survival and recruitment of mammals by increasing access to higher-quality forage or reducing predation risk, or both. We used telemetry locations collected from 140 adult female elk during 20002003 and 20072008 to identify factors influencing the migration of northern Yellowstone elk. Elk wintered in 2 semidistinct herd segments and migrated 10140 km to at least 12 summer areas in Yellowstone National Park (YNP) and nearby areas of Montana. Spring migrations were delayed after winters with increased snow pack, with earlier migration in years with earlier vegetation green-up. Elk wintering at lower elevations outside YNP migrated an average of 13 days earlier than elk at higher elevations. The timing of autumn migrations varied annually, but elk left their summer ranges at about the same time regardless of elevation, wolf numbers, or distance to their wintering areas. Elk monitored for multiple years typically returned to the same summer (96 fidelity, n 52) and winter (61 fidelity, n 41) ranges. Elk that wintered at lower elevations in or near the northwestern portion of the park tended to summer in the western part of YNP (56), and elk that wintered at higher elevations spent summer primarily in the eastern and northern parts of the park (82). Elk did not grossly modify their migration timing, routes, or use areas after wolf restoration. Elk mortality was low during summer and migration (8 of 225 elk-summers). However, spatial segregation and differential mortality and recruitment between herd segments on the northern winter range apparently contributed to a higher proportion of the elk population wintering outside the northwestern portion of YNP and summering in the western portion of the park. This change could shift wolf spatial dynamics more outside YNP and increase the risk of transmission of brucellosis from elk to cattle north of the park. ?? 2010 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/08-MAMM-A-252.1","issn":"00222372","usgsCitation":"White, P., Proffitt, K., Mech, L., Evans, S., Cunningham, J., and Hamlin, K., 2010, Migration of northern yellowstone elk: Implications of spatial structuring: Journal of Mammalogy, v. 91, no. 4, p. 827-837, https://doi.org/10.1644/08-MAMM-A-252.1.","startPage":"827","endPage":"837","numberOfPages":"11","costCenters":[],"links":[{"id":475985,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/08-mamm-a-252.1","text":"Publisher Index Page"},{"id":217157,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/08-MAMM-A-252.1"},{"id":245078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2010-08-16","publicationStatus":"PW","scienceBaseUri":"505a5709e4b0c8380cd6d9eb","contributors":{"authors":[{"text":"White, P.J.","contributorId":91436,"corporation":false,"usgs":true,"family":"White","given":"P.J.","affiliations":[],"preferred":false,"id":459037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Proffitt, K.M.","contributorId":34235,"corporation":false,"usgs":true,"family":"Proffitt","given":"K.M.","email":"","affiliations":[],"preferred":false,"id":459034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mech, L.D. 0000-0003-3944-7769","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":75466,"corporation":false,"usgs":false,"family":"Mech","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":459036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, S.B.","contributorId":19359,"corporation":false,"usgs":true,"family":"Evans","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":459033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cunningham, J.A.","contributorId":101872,"corporation":false,"usgs":true,"family":"Cunningham","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":459038,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamlin, K.L.","contributorId":37174,"corporation":false,"usgs":true,"family":"Hamlin","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":459035,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046729,"text":"dds49107 - 2010 - Attributes for MRB_E2RF1 Catchments in Selected Major River Basins of the Conterminous United States: Contact Time, 2002","interactions":[],"lastModifiedDate":"2013-11-25T16:05:09","indexId":"dds49107","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-07","title":"Attributes for MRB_E2RF1 Catchments in Selected Major River Basins of the Conterminous United States: Contact Time, 2002","docAbstract":"This tabular data set represents the average contact time, in units of days, compiled for every MRB_E2RF1 catchment of Major River Basins (MRBs, Crawford and others, 2006). Contact time, as described in Vitvar and others (2002), is defined as the baseflow residence time in the subsurface. The source data set was the U.S. Geological Survey's (USGS)  1-kilometer grid for the conterminous United States (D.M. Wolock, U.S. Geological Survey, written commun., 2008). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) RF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49107","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments in Selected Major River Basins of the Conterminous United States: Contact Time, 2002: U.S. Geological Survey Data Series 491-07, Dataset, https://doi.org/10.3133/dds49107.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274332,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274331,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_contact.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e6e4b0ca1848338a1f","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046727,"text":"dds49105 - 2010 - Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology","interactions":[],"lastModifiedDate":"2013-11-25T16:07:45","indexId":"dds49105","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"491-05","title":"Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology","docAbstract":"This tabular data set represents the area of bedrock geology types in square meters compiled for every catchment of MRB_E2RF1 catchments for  Major River Basins (MRBs, Crawford and others, 2006). The source data set is the \"Geology of the Conterminous United States at 1:2,500,000 Scale--A Digital Representation of the 1974 P.B. King and H.M. Beikman Map\" (Schuben and others, 1994). The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection Agency's (USEPA) ERF1_2 and include enhancements to support national and regional-scale surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011). Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49105","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for MRB_E2RF1 Catchments by Major River Basins in the Conterminous United States: Bedrock Geology: U.S. Geological Survey Data Series 491-05, Dataset, https://doi.org/10.3133/dds49105.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274327,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/mrb_e2rf1_bgeol.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51d2a4e2e4b0ca18483389df","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480120,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037051,"text":"70037051 - 2010 - Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","interactions":[],"lastModifiedDate":"2012-03-12T17:22:10","indexId":"70037051","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification","docAbstract":"Natural tags based on DNA fingerprints or natural features of animals are now becoming very widely used in wildlife population biology. However, classic capture-recapture models do not allow for misidentification of animals which is a potentially very serious problem with natural tags. Statistical analysis of misidentification processes is extremely difficult using traditional likelihood methods but is easily handled using Bayesian methods. We present a general framework for Bayesian analysis of categorical data arising from a latent multinomial distribution. Although our work is motivated by a specific model for misidentification in closed population capture-recapture analyses, with crucial assumptions which may not always be appropriate, the methods we develop extend naturally to a variety of other models with similar structure. Suppose that observed frequencies f are a known linear transformation f = A???x of a latent multinomial variable x with cell probability vector ?? = ??(??). Given that full conditional distributions [?? | x] can be sampled, implementation of Gibbs sampling requires only that we can sample from the full conditional distribution [x | f, ??], which is made possible by knowledge of the null space of A???. We illustrate the approach using two data sets with individual misidentification, one simulated, the other summarizing recapture data for salamanders based on natural marks. ?? 2009, The International Biometric Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biometrics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1111/j.1541-0420.2009.01244.x","issn":"0006341X","usgsCitation":"Link, W., Yoshizaki, J., Bailey, L., and Pollock, K.H., 2010, Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification: Biometrics, v. 66, no. 1, p. 178-185, https://doi.org/10.1111/j.1541-0420.2009.01244.x.","startPage":"178","endPage":"185","numberOfPages":"8","costCenters":[],"links":[{"id":475979,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1541-0420.2009.01244.x","text":"Publisher Index Page"},{"id":217074,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1541-0420.2009.01244.x"},{"id":244986,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationDate":"2010-03-17","publicationStatus":"PW","scienceBaseUri":"505bbc31e4b08c986b328ac5","contributors":{"authors":[{"text":"Link, W.A. 0000-0002-9913-0256","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":8815,"corporation":false,"usgs":true,"family":"Link","given":"W.A.","affiliations":[],"preferred":false,"id":459153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoshizaki, J.","contributorId":79596,"corporation":false,"usgs":true,"family":"Yoshizaki","given":"J.","email":"","affiliations":[],"preferred":false,"id":459156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":459154,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pollock, K. H.","contributorId":65184,"corporation":false,"usgs":false,"family":"Pollock","given":"K.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":459155,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037504,"text":"70037504 - 2010 - Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska","interactions":[],"lastModifiedDate":"2018-01-04T12:54:38","indexId":"70037504","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska","docAbstract":"The central Platte River valley (CPRV) in Nebraska, USA, is a key spring-staging area for approximately 80 of the midcontinent population of sandhill cranes (Grus canadensis; hereafter cranes). Evidence that staging cranes acquired less lipid reserves during the 1990s compared to the late 1970s and increases in use of the CPRV by snow geese (Chen caerulescens) prompted us to investigate availability of waste corn and quantify spatial and temporal patterns of crane and waterfowl use of the region. We developed a predictive model to assess impacts of changes in availability of corn and snow goose abundance under past, present, and potential future conditions. Over a hypothetical 60-day staging period, predicted energy demand of cranes and waterfowl increased 87 between the late 1970s and 19982007, primarily because peak abundances of snow geese increased by 650,000 and cranes by 110,000. Compared to spring 1979, corn available when cranes arrived was 20 less in 1998 and 68 less in 1999; consequently, the area of cornfields required to meet crane needs increased from 14,464 ha in 1979 to 32,751 ha in 1998 and 90,559 ha in 1999. Using a pooled estimate of 88 kg/ha from springs 19981999 and 20052007, the area of cornfields needed to supply food requirements of cranes and waterfowl increased to 65,587 ha and was greatest in the eastern region of the CPRV, where an estimated 54 of cranes, 47 of Canada geese (Branta canadensis), 45 of greater white-fronted geese (Anser albifrons), and 46 of snow geese occurred during ground surveys. We estimated that a future reduction of 25 in available corn or cornfields would increase daily foraging flight distances of cranes by 2738. Crane use and ability of cranes to store lipid reserves in the CPRV could be reduced substantially if flight distance required to locate adequate corn exceeded a physiological maximum distance cranes could fly in search of food. Options to increase carrying capacity for cranes include increasing accessibility of cornfields by restoring degraded river channels to disperse roosting cranes and increasing wetland availability in the Rainwater Basin to attract snow geese using the CPRV. ?? The Wildlife Society.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.2193/2008-539","issn":"0022541X","usgsCitation":"Pearse, A., Krapu, G., Brandt, D., and Kinzel, P., 2010, Changes in agriculture and abundance of snow geese affect carrying capacity of sandhill cranes in Nebraska: Journal of Wildlife Management, v. 74, no. 3, p. 479-488, https://doi.org/10.2193/2008-539.","productDescription":"10 p.","startPage":"479","endPage":"488","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":246021,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":218043,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2193/2008-539"}],"volume":"74","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-12-13","publicationStatus":"PW","scienceBaseUri":"5059f409e4b0c8380cd4bada","contributors":{"authors":[{"text":"Pearse, A.T.","contributorId":56333,"corporation":false,"usgs":true,"family":"Pearse","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":461358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krapu, Gary L.","contributorId":56994,"corporation":false,"usgs":true,"family":"Krapu","given":"Gary L.","affiliations":[],"preferred":false,"id":461359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, D.A.","contributorId":67448,"corporation":false,"usgs":true,"family":"Brandt","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":461360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinzel, P.J.","contributorId":27834,"corporation":false,"usgs":true,"family":"Kinzel","given":"P.J.","affiliations":[],"preferred":false,"id":461357,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70037503,"text":"70037503 - 2010 - Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia","interactions":[],"lastModifiedDate":"2017-05-10T15:08:58","indexId":"70037503","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia","docAbstract":"<p><i>Ammocrypta clara</i><span>&nbsp;Jordan and Meek (western sand darter) occurs primarily in the western portions of Mississippi River system, but also has been reported from a Lake Michigan drainage and a few eastern Texas Gulf Slope rivers. Additional range records depict a semi-disjunct distribution within the Ohio River drainage, including collections from Wabash River in Indiana, the Cumberland, Green, Kentucky and Big Sandy rivers of Kentucky, and the upper Tennessee River in Tennessee and Virginia. This paper documents the occurrence of&nbsp;</span><i>A. clara</i><span>&nbsp;from the upper Ohio River drainage within the lower Elk River, West Virginia, based on collections from 1986, 1991, 1995, 2005 and 2006. The Elk River population, consistent with those of other Ohio River drainages, has slightly higher counts for numbers of dorsal-fin rays, scales below lateral line and lateral line scales when compared to data from populations outside of the Ohio River drainage. Modal counts of meristic characters are similar among populations, except for higher modal counts of lateral line scales in the Ohio River population. The discovery of the Elk River population extends the range distribution of&nbsp;</span><i>A. clara</i><span>&nbsp;in the Eastern Highlands region, documents wide distributional overlap and additional sympatry with its sister species,</span><i>A. pellucida</i><span>&nbsp;(eastern sand darter), and softens support for an east-west Central Highlands vicariance hypothesis for the present distribution of&nbsp;</span><i>A. clara</i><span>&nbsp;and&nbsp;</span><i>A. pellucida</i><span>.</span></p>","language":"English","publisher":"University of Notre Dame","publisherLocation":"Notre Dame, IN","doi":"10.1674/0003-0031-163.2.318","issn":"00030031","usgsCitation":"Cincotta, D.A., and Welsh, S.A., 2010, Discovery of ammocrypta clara (western sand darter) in the Upper Ohio River of West Virginia: American Midland Naturalist, v. 163, no. 2, p. 318-325, https://doi.org/10.1674/0003-0031-163.2.318.","productDescription":"8 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]\n}","volume":"163","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a01f0e4b0c8380cd4fdd6","contributors":{"authors":[{"text":"Cincotta, Dan A.","contributorId":29611,"corporation":false,"usgs":false,"family":"Cincotta","given":"Dan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":461356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":1483,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart","email":"swelsh@usgs.gov","middleInitial":"A.","affiliations":[{"id":205,"text":"Cooperative Research Units","active":false,"usgs":true}],"preferred":false,"id":461355,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70037087,"text":"70037087 - 2010 - Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","interactions":[],"lastModifiedDate":"2012-03-12T17:22:11","indexId":"70037087","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival","docAbstract":"We used markrecapture estimation techniques and radiography to test hypotheses about 3 important aspects of recruitment in big brown bats (Eptesicus fuscus) in Fort Collins, Colorado: adult breeding probabilities, litter size, and 1st-year survival of young. We marked 2,968 females with passive integrated transponder (PIT) tags at multiple sites during 2001-2005 and based our assessments on direct recaptures (breeding probabilities) and passive detection with automated PIT tag readers (1st-year survival). We interpreted our data in relation to hypotheses regarding demographic influences of bat age, roost, and effects of years with unusual environmental conditions: extreme drought (2002) and arrival of a West Nile virus epizootic (2003). Conditional breeding probabilities at 6 roosts sampled in 2002-2005 were estimated as 0.64 (95% confidence interval [95% CI] = 0.530.73) in 1-year-old females, but were consistently high (95% CI = 0.940.96) and did not vary by roost, year, or prior year breeding status in older adults. Mean litter size was 1.11 (95% CI = 1.051.17), based on examination of 112 pregnant females by radiography. Litter size was not higher in older or larger females and was similar to results of other studies in western North America despite wide variation in latitude. First-year survival was estimated as 0.67 (95% CI = 0.610.73) for weaned females at 5 maternity roosts over 5 consecutive years, was lower than adult survival (0.79; 95% CI = 0.770.81), and varied by roost. Based on model selection criteria, strong evidence exists for complex roost and year effects on 1st-year survival. First-year survival was lowest in bats born during the drought year. Juvenile females that did not return to roosts as 1-year-olds had lower body condition indices in late summer of their natal year than those known to survive. ?? 2009 American Society of Mammalogists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Mammalogy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1644/08-MAMM-A-295.1","issn":"00222372","usgsCitation":"O'Shea, T., Ellison, L., Neubaum, D., Neubaum, M., Reynolds, C., and Bowen, R.A., 2010, Recruitment in a Colorado population of big brown bats: Breeding probabilities, litter size, and first-year survival: Journal of Mammalogy, v. 91, no. 2, p. 418-428, https://doi.org/10.1644/08-MAMM-A-295.1.","startPage":"418","endPage":"428","numberOfPages":"11","costCenters":[],"links":[{"id":487919,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/08-mamm-a-295.1","text":"Publisher Index Page"},{"id":217134,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/08-MAMM-A-295.1"},{"id":245053,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"91","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"50e4a353e4b0e8fec6cdb821","contributors":{"authors":[{"text":"O'Shea, T. J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":50100,"corporation":false,"usgs":true,"family":"O'Shea","given":"T. J.","affiliations":[],"preferred":false,"id":459313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, L.E.","contributorId":103610,"corporation":false,"usgs":true,"family":"Ellison","given":"L.E.","email":"","affiliations":[],"preferred":false,"id":459317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neubaum, D.J.","contributorId":43720,"corporation":false,"usgs":true,"family":"Neubaum","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":459312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neubaum, M.A.","contributorId":50866,"corporation":false,"usgs":true,"family":"Neubaum","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":459314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reynolds, C.A.","contributorId":102301,"corporation":false,"usgs":true,"family":"Reynolds","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":459316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, R. A.","contributorId":80623,"corporation":false,"usgs":false,"family":"Bowen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":459315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70037416,"text":"70037416 - 2010 - Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses","interactions":[],"lastModifiedDate":"2012-03-12T17:22:09","indexId":"70037416","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":827,"text":"Applied Animal Behaviour Science","active":true,"publicationSubtype":{"id":10}},"title":"Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses","docAbstract":"Managers concerned with shrinking habitats and limited resources for wildlife seek effective tools for limiting population growth in some species. Fertility control is one such tool, yet little is known about its impacts on the behavioral ecology of wild, free-roaming animals. We investigated influences of the immunocontraceptive porcine zona pellucida (PZP) on individual and social behavior in bands of feral horses (Equus caballus) in three discrete populations and used 14 hierarchical mixed effect models to gain insight into the influences of PZP treatment on feral horse behavior. A model of body condition was the strongest predictor of feeding, resting, maintenance, and social behaviors, with treated females allocating their time similarly to control females. Time spent feeding declined 11.4% from low condition to high condition females (F<sub>1,154</sub> = 26.427, P &lt; 0.001) and was partially reciprocated by a 6.0% increase in resting (F<sub>1,154</sub> = 7.629, P = 0.006), 0.9% increase in maintenance (F<sub>1,154</sub> = 7.028, P = 0.009), and 1.8% increase in social behavior (F<sub>1,154</sub> = 15.064, P &lt; 0.001). There was no difference detected in body condition of treated versus control females (F<sub>1,154</sub> = 0.033, P = 0.856), but females with a dependent foal had lower body condition than those without a foal (F<sub>1,154</sub> = 4.512, P = 0.038). Herding behavior was best explained by a model of treatment and the interaction of band fidelity and foal presence (AIC<sub>c</sub> weight = 0.660) which estimated no difference in rate of herding behavior directed toward control versus treated females (F<sub>1,102</sub> = 0.196, P = 0.659), but resident females without a dependent foal were herded 50.9% more than resident females with a foal (F<sub>3,102</sub> = 8.269, P &lt; 0.001). Treated females received 54.5% more reproductive behaviors from stallions than control mares (F<sub>1,105</sub> = 5.155, P = 0.025), with the model containing only treatment being the most-supported (AIC<sub>c</sub> weight = 0.530). Treated and control females received harem-tending behaviors from stallions equally (F<sub>1,105</sub> = 0.001, P = 0.969) and agonistic behaviors from stallions equally (F<sub>1,105</sub> &lt; 0.001, P = 0.986). Direct effects of PZP treatment on the behavior of feral horses appear to be limited primarily to reproductive behaviors and most other differences detected were attributed to the effects of body condition, band fidelity, or foal presence. PZP is a promising alternative to traditional hormone-based contraceptives and appears to contribute few short-term behavioral modifications in feral horses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Animal Behaviour Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.applanim.2010.01.015","issn":"01681591","usgsCitation":"Ransom, J., Cade, B., and Hobbs, N., 2010, Influences of immunocontraception on time budgets, social behavior, and body condition in feral horses: Applied Animal Behaviour Science, v. 124, no. 1-2, p. 51-60, https://doi.org/10.1016/j.applanim.2010.01.015.","startPage":"51","endPage":"60","numberOfPages":"10","costCenters":[],"links":[{"id":217209,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.applanim.2010.01.015"},{"id":245136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"124","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3ba2e4b0c8380cd62700","contributors":{"authors":[{"text":"Ransom, J.I.","contributorId":68970,"corporation":false,"usgs":true,"family":"Ransom","given":"J.I.","email":"","affiliations":[],"preferred":false,"id":460955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, B.S.","contributorId":47315,"corporation":false,"usgs":true,"family":"Cade","given":"B.S.","affiliations":[],"preferred":false,"id":460954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, N.T.","contributorId":9498,"corporation":false,"usgs":true,"family":"Hobbs","given":"N.T.","email":"","affiliations":[],"preferred":false,"id":460953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70037414,"text":"70037414 - 2010 - A physiologically based toxicokinetic model for methylmercury in female American kestrels","interactions":[],"lastModifiedDate":"2018-10-20T09:05:08","indexId":"70037414","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"A physiologically based toxicokinetic model for methylmercury in female American kestrels","docAbstract":"<p>A physiologically based toxicokinetic (PBTK) model was developed to describe the uptake, distribution, and elimination of methylmercury (CH 3Hg) in female American kestrels. The model consists of six tissue compartments corresponding to the brain, liver, kidney, gut, red blood cells, and remaining carcass. Additional compartments describe the elimination of CH3Hg to eggs and growing feathers. Dietary uptake of CH 3Hg was modeled as a diffusion-limited process, and the distribution of CH3Hg among compartments was assumed to be mediated by the flow of blood plasma. To the extent possible, model parameters were developed using information from American kestrels. Additional parameters were based on measured values for closely related species and allometric relationships for birds. The model was calibrated using data from dietary dosing studies with American kestrels. Good agreement between model simulations and measured CH3Hg concentrations in blood and tissues during the loading phase of these studies was obtained by fitting model parameters that control dietary uptake of CH 3Hg and possible hepatic demethylation. Modeled results tended to underestimate the observed effect of egg production on circulating levels of CH3Hg. In general, however, simulations were consistent with observed patterns of CH3Hg uptake and elimination in birds, including the dominant role of feather molt. This model could be used to extrapolate CH 3Hg kinetics from American kestrels to other bird species by appropriate reassignment of parameter values. Alternatively, when combined with a bioenergetics-based description, the model could be used to simulate CH 3Hg kinetics in a long-term environmental exposure.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/etc.241","issn":"07307268","usgsCitation":"Nichols, J., Bennett, R., Rossmann, R., French, J.B., and Sappington, K., 2010, A physiologically based toxicokinetic model for methylmercury in female American kestrels: Environmental Toxicology and Chemistry, v. 29, no. 8, p. 1854-1867, https://doi.org/10.1002/etc.241.","productDescription":"14 p.","startPage":"1854","endPage":"1867","numberOfPages":"14","costCenters":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":245163,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":217235,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.241"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2010-08-01","publicationStatus":"PW","scienceBaseUri":"5059e4d9e4b0c8380cd46994","contributors":{"authors":[{"text":"Nichols, J.W.","contributorId":97290,"corporation":false,"usgs":true,"family":"Nichols","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":460949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, R.S.","contributorId":16533,"corporation":false,"usgs":true,"family":"Bennett","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":460947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rossmann, R.","contributorId":54702,"corporation":false,"usgs":true,"family":"Rossmann","given":"R.","email":"","affiliations":[],"preferred":false,"id":460948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, John B. 0000-0001-8901-7092 jbfrench@usgs.gov","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":377,"corporation":false,"usgs":true,"family":"French","given":"John","email":"jbfrench@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":460946,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sappington, K.G.","contributorId":8701,"corporation":false,"usgs":true,"family":"Sappington","given":"K.G.","email":"","affiliations":[],"preferred":false,"id":460945,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70043939,"text":"70043939 - 2010 - Introduction: Tagging, telemetry, and marking compendium project","interactions":[],"lastModifiedDate":"2022-12-27T14:58:57.819871","indexId":"70043939","displayToPublicDate":"2010-01-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":205,"text":"PNAMP Report Series","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"2010-002","chapter":"1","title":"Introduction: Tagging, telemetry, and marking compendium project","docAbstract":"<p>Goal and Objectives of the Compendium</p>\n<p>The goal of this compendium is to integrate profiles of on-going, individual, disparate efforts implementing the science of tagging, telemetry, and marking (TTM) into a compilation of experience to inform the development of fish population monitoring. This is accomplished by meeting the following objectives:</p>\n<p>&bull; Provide the region with information and peer reviewed analyses to facilitate optimization of the use of TTM technology and designs in a comparable and consistent manner.</p>\n<p>&bull; Provide findings that are organized, peer reviewed, and communicated widely.</p>\n<p>&bull; Increase the opportunity for data collection to provide more reliable information and result in improved analyses and higher confidence in data analyses for making informed and more relevant decisions.</p>","largerWorkTitle":"Tagging, telemetry, and marking measures for monitoring fish populations: A compendium of new and recent science for use in informing technique and decision modalities","language":"English","publisher":"Pacific Northwest Aquatic Monitoring Partnership","publisherLocation":"Seattle, WA","usgsCitation":"Wolf, K.S., and Waste, S., 2010, Introduction: Tagging, telemetry, and marking compendium project: PNAMP Report Series 2010-002, 4 p.","productDescription":"4 p.","startPage":"1","endPage":"4","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018295","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":307458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91b9e4b0518e354dd196","contributors":{"authors":[{"text":"Wolf, Keith S.","contributorId":177730,"corporation":false,"usgs":false,"family":"Wolf","given":"Keith","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":516963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waste, Stephen M. swaste@usgs.gov","contributorId":3837,"corporation":false,"usgs":true,"family":"Waste","given":"Stephen M.","email":"swaste@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":569840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}