{"pageNumber":"1126","pageRowStart":"28125","pageSize":"25","recordCount":40871,"records":[{"id":70026097,"text":"70026097 - No Year - Inverse modeling of interbed storage parameters using land subsidence observations, Antelope Valley, California","interactions":[],"lastModifiedDate":"2019-09-06T11:22:37","indexId":"70026097","displayToPublicDate":"2003-01-01T00:00:00","publicationYear":"2003","noYear":true,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Inverse modeling of interbed storage parameters using land subsidence observations, Antelope Valley, California","docAbstract":"We use land-subsidence observations from repeatedly surveyed benchmarks and interferometric synthetic aperture radar (InSAR) in Antelope Valley, California, to estimate spatially varying compaction time constants, ??, and inelastic specific skeletal storage coefficients, Skv*, in a previously calibrated regional groundwater flow and subsidence model. The observed subsidence patterns reflect both the spatial distribution of head declines and the spatially variable inelastic skeletal storage coefficient. Using the nonlinear parameter estimation program UCODE we estimate compaction time constants between 3.8 and 285 years. The Skv* values are estimated by linear estimation and range from 0 to almost 0.09. We find that subsidence observations over long time periods are necessary to constrain estimates of the large compaction time constants in Antelope Valley. The InSAR data used in this study cover only a three-year period, limiting their usefulness in constraining these time constants. This problem will be alleviated as more SAR data become available in the future or where time constants are small. By incorporating the resulting parameter estimates in the previously calibrated regional model of groundwater flow and land subsidence we can significantly improve the agreement between simulated and observed land subsidence both in terms of magnitude and spatial extent. The sum of weighted squared subsidence residuals, a common measure of model fit, was reduced by 73% with respect to the original model. However, the ability of the model to adequately reproduce the subsidence observed over only a few years is impaired by the fact that the simulated hydraulic heads over small time periods are often not representative of the actual aquifer hydraulic heads. Errors in the simulated hydraulic aquifer heads constitute the primary limitation of the approach presented here.","largerWorkTitle":"Water Resources Research","language":"English","doi":"10.1029/2001WR001252","issn":"00431397","usgsCitation":"Hoffmann, J., Galloway, D., and Zebker, H., 2003, Inverse modeling of interbed storage parameters using land subsidence observations, Antelope Valley, California: Water Resources Research, v. 39, no. 2, p. 5-1-5-10, https://doi.org/10.1029/2001WR001252.","productDescription":"10 p.","startPage":"5-1","endPage":"5-10","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":478575,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001wr001252","text":"Publisher Index Page"},{"id":235027,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2003-02-13","publicationStatus":"PW","scienceBaseUri":"505a3e4de4b0c8380cd63c79","contributors":{"authors":[{"text":"Hoffmann, J.","contributorId":43530,"corporation":false,"usgs":true,"family":"Hoffmann","given":"J.","affiliations":[],"preferred":false,"id":407892,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Galloway, D. L. 0000-0003-0904-5355","orcid":"https://orcid.org/0000-0003-0904-5355","contributorId":31383,"corporation":false,"usgs":true,"family":"Galloway","given":"D. L.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":407891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zebker, H. A.","contributorId":90457,"corporation":false,"usgs":false,"family":"Zebker","given":"H. A.","affiliations":[],"preferred":false,"id":407893,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":45082,"text":"wri024036 - 2002 - Inventory and review of aquifer storage and recovery in southern Florida","interactions":[],"lastModifiedDate":"2021-10-14T11:57:40.608068","indexId":"wri024036","displayToPublicDate":"2021-10-13T12:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4036","displayTitle":"Inventory and Review of Aquifer Storage and Recovery in Southern Florida","title":"Inventory and review of aquifer storage and recovery in southern Florida","docAbstract":"<p>Aquifer storage and recovery in southern Florida has been proposed on an unprecedented scale as part of the Comprehensive Everglades Restoration Plan. Aquifer storage and recovery wells were constructed or are under construction at 27 sites in southern Florida, mostly by local municipalities or counties located in coastal areas. The Upper Floridan aquifer, the principal storage zone of interest to the restoration plan, is the aquifer being used at 22 of the sites. The aquifer is brackish to saline in southern Florida, which can greatly affect the recovery of the freshwater recharged and stored.</p><p>Well data were inventoried and compiled for all wells at most of the 27 sites. Construction and testing data were compiled into four main categories: (1) well identification, location, and construction data; (2) hydraulic test data; (3) ambient formation water-quality data; and (4) cycle testing data. Each cycle during testing or operation includes periods of recharge of freshwater, storage, and recovery that each last days or months. Cycle testing data include calculations of recovery efficiency, which is the percentage of the total amount of potable water recharged for each cycle that is recovered.</p><p>Calculated cycle test data include potable water recovery efficiencies for 16 of the 27 sites. However, the number of cycles at most sites was limited; except for two sites, the highest number of cycles was five. Only nine sites had a recovery efficiency above 10 percent for the first cycle, and 10 sites achieved a recovery efficiency above 30 percent during at least one cycle. The highest recovery efficiency achieved per cycle was 84 percent for cycle 16 at the Boynton Beach site.</p><p>Factors that could affect recovery of freshwater varied widely between sites. The thickness of the open storage zone at all sites ranged from 45 to 452 feet. For sites with the storage zone in the Upper Floridan aquifer, transmissivity based on tests of the storage zones ranged from 800 to 108,000 feet squared per day, leakance values indicated that confinement is not good in some areas, and the chloride concentration of ambient water ranged from 500 to 11,000 milligrams per liter.</p><p>Based on review of four case studies and data from other sites, several hydrogeologic and design factors appear to be important to the performance of aquifer storage and recovery in the Floridan aquifer system. Performance is m aximized when the storage zone is thin and located at the top of the Upper Floridan aquifer, and transmissivity and salinity of the storage zone are moderate (less than 30,000 feet squared per day and 3,000 milligrams per liter of chloride concentration, respectively). The structural setting at a site could also be important because of the potential for updip migration of a recharged freshwater bubble due to density contrast or loss of overlying confinement due to deformation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024036","usgsCitation":"Reese, R.S., 2002, Inventory and review of aquifer storage and recovery in southern Florida: U.S. Geological Survey Water-Resources Investigations Report 2002-4036, vi, 56 p., https://doi.org/10.3133/wri024036.","productDescription":"vi, 56 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":3929,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4036/wri024036.pdf","text":"Report","size":"3.57 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":169087,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4036/pdf_cover.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.15600585937499,\n              25.035838555635017\n            ],\n            [\n              -80.3924560546875,\n              25.140311914680755\n            ],\n            [\n              -80.145263671875,\n              25.730632525531913\n            ],\n            [\n              -79.991455078125,\n              26.765230565697482\n            ],\n            [\n              -82.21618652343749,\n              26.725986812271756\n            ],\n            [\n              -81.15600585937499,\n              25.035838555635017\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b7e4b07f02db5cc837","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":231072,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":45083,"text":"wri024050 - 2002 - Interactions between surface water and ground water and effects on mercury transport in the north-central Everglades","interactions":[],"lastModifiedDate":"2021-10-14T11:56:30.437952","indexId":"wri024050","displayToPublicDate":"2021-10-13T12:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4050","displayTitle":"Interactions between Surface Water and Ground Water and Effects on Mercury Transport in the North-central Everglades","title":"Interactions between surface water and ground water and effects on mercury transport in the north-central Everglades","docAbstract":"The hydrology of the north-central Everglades was altered substantially in the past century by canal dredging, land subsidence, ground-water pumping, and levee construction. Vast areas of seasonal and perennial wetlands were converted to uses for agriculture, light industry, and suburban development. As the catchment area for the Everglades decreased, so did the sources of water from local precipitation and runoff from surrounding uplands. Partly in response to those alterations, water-resources managers compartmentalized the remaining wetlands in the north-central Everglades into large retention basins, called Water Conservation Areas (WCAs). In spite of efforts to improve how water resources are managed, the result has been frequent periods of excessive drying out or flooding of the WCAs because the managed system does not have the same water-storage capacity as the pre-drainage Everglades. Linked to the hydrological modifications are ecological changes including large-scale invasions of cattail, loss of tree islands, and diminishing bird populations in the Everglades. Complex interactions among numerous physical, chemical, and biological factors are responsible for the long-term degradation of the ecological character of the Everglades.Over the past 15 years, a new set of smaller wetland basins, called Stormwater Treatment Areas (STAs), have been designed and constructed by water-resources engineers on the former wetlands adjacent to WCAs. The purpose of STAs is to remove excess nutrients from agricultural drainage water prior to its input to WCAs. STAs tend to be about one-tenth the size of a WCA, and they are located on former wetlands on the northwestern side of WCAs on sites that were managed as farmland for much of the twentieth century in an area referred to as the Everglades Agricultural Area, or EAA.  The objective of the present investigation was to quantify interactions between surface water and ground water in the Everglades Nutrient Removal Project (ENR), a prototype project for the STAs that began operation in 1994. Determining the effect of ground water on the mercury balance of the ENR treatment wetland was an important additional objective. In order to broaden the relevance of conclusions to all parts of the north-central Everglades, interactions between surface water and ground water and mercury also were investigated in Water Conservation Area 2A (WCA-2A) and, to a lesser extent, in two other WCA basins, WCA-2B and WCA-3A.An important conclusion of this study is that creation of the WCA basins, and accompanying water-resources management, have appreciably increased both recharge and discharge in the north-central Everglades compared with pre-drainage conditions. Recharge and discharge are highest near the northern and northwestern edges of the Everglades, in the relatively small basins such as ENR and the STAs that share borders with both WCA-1 and the EAA. All basins experienced greater increases in recharge relative to discharge, because of the effects that land subsidence and ground-water pumping outside the Everglades had on hydraulic gradients. The highest basin-wide estimate of recharge was measured in ENR, where recharge averaged 0.9 centimeter per day (cm/d) over a 4-year study period. For perspective, that estimate of recharge is the equivalent of 30 percent of pumped surface-water inflows and 230 percent of average daily precipitation in ENR. Ground-water discharge was 10 times smaller than recharge at ENR. The present study estimated a basin-averaged recharge for WCA-2A (0.2 cm/d) that was a factor of 4 smaller than ENR. Although preliminary, that estimate of recharge is 5 times higher than previous estimates (approximately 0.04 cm/d), probably because the newer measurements were able to quantify recharge and discharge at finer spatial and temporal scales. Recharge at WCA-2A is smaller than ENR because WCA-2A has a smaller topographic gradient (3 x 10-5 and 2 x 10-4 in WCA-2A and ENR, respective","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024050","usgsCitation":"Harvey, J.W., Krupa, S.L., Gefvert, C., Mooney, R., Choi, J., King, S.A., and Giddings, J.B., 2002, Interactions between surface water and ground water and effects on mercury transport in the north-central Everglades: U.S. Geological Survey Water-Resources Investigations Report 2002-4050, vi, 82 p., https://doi.org/10.3133/wri024050.","productDescription":"vi, 82 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":99381,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4050/wri024050.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":169187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4050/pdf_cover.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.8758544921875,\n              25.730632525531913\n            ],\n            [\n              -80.145263671875,\n              25.730632525531913\n            ],\n            [\n              -80.145263671875,\n              26.765230565697482\n            ],\n            [\n              -80.8758544921875,\n              26.765230565697482\n            ],\n            [\n              -80.8758544921875,\n              25.730632525531913\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab0e4b07f02db66d52b","contributors":{"authors":[{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":231073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krupa, Steven L.","contributorId":93558,"corporation":false,"usgs":true,"family":"Krupa","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":231079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gefvert, Cynthia","contributorId":79154,"corporation":false,"usgs":true,"family":"Gefvert","given":"Cynthia","affiliations":[],"preferred":false,"id":231078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mooney, Robert H.","contributorId":37400,"corporation":false,"usgs":true,"family":"Mooney","given":"Robert H.","affiliations":[],"preferred":false,"id":231075,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":231077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Susan A.","contributorId":65904,"corporation":false,"usgs":true,"family":"King","given":"Susan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":231076,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Giddings, Jefferson B.","contributorId":17293,"corporation":false,"usgs":true,"family":"Giddings","given":"Jefferson","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":231074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":31579,"text":"ofr0232 - 2002 - Habitat assessment, Missouri River at Hermann, Missouri","interactions":[],"lastModifiedDate":"2020-07-06T15:07:20.343792","indexId":"ofr0232","displayToPublicDate":"2020-07-01T16:20:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2002-32","displayTitle":"Habitat Assessment, Missouri River at Hermann, Missouri","title":"Habitat assessment, Missouri River at Hermann, Missouri","docAbstract":"<p>This report documents methods and results of aquatic habitat assessment in the Missouri River near Hermann, Missouri. The assessment is intended to improve understanding of spatial and temporal variability of aquatic habitat, including habitats thought to be critical for the endangered pallid sturgeon (<i>Scaphirhynchus albus</i>). Physical aquatic habitat – depth, velocity, and substrate – was assessed around 9 wing dikes and adjacent to the U.S. Route 19 bridge, at discharges varying from 44,000 cubic feet per second (cfs) to 146, 000 cfs during August 2000 – May, 2001. For the river as a whole, velocities are bi-modally distributed with distinct peaks relating to navigation channel and wing-dike environments. Velocities predictably showed an increasing trend with increasing discharge. Substrate within wing dikes was dominated by mud at low discharges, whereas the navigation channel had patches of transporting sand, rippled sand, and coarse sand. Discharges that overtopped the wing dikes (about 93,000 cfs, March 2001) were associated with increases of patchy sand, rippled sand, and coarse sand within the wing dikes. When flows were substantially over the wing dikes (146,000 cfs, May 2001) substrates within most wing dikes showed substantial reorganization and coarsening.</p><p>The habitat assessment provides a geospatial database that can be used to query wing dikes for distributions of depth, velocity, and substrate for comparison with fish samples collected by US Fish and Wildlife Service biologists (Grady and others, 2001). In addition, the assessment documented spatial and temporal variation in habitat within the Hermann reach and over a range of discharges. Measurable geomorphic change – alteration of substrate conditions plus substantial erosion and deposition – was associated with flows equaled or exceeded 12–40% of the time (40–140 days per year). Documented geomorphic change associated with high-frequency flows underscores the natural temporal variability of physical habitat in the Lower Missouri River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr0232","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Jacobson, R.B., Laustrup, M.S., and Reuter, J.M., 2002, Habitat assessment, Missouri River at Hermann, Missouri: U.S. Geological Survey Open-File Report 2002—32, 22 p., https://doi.org/10.3133/ofr0232.","productDescription":"Report: 22 p.; 2 Appendixes","numberOfPages":"22","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":160577,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2002/0032/coverthb.jpg"},{"id":7895,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2002/0032/ofr20020032_appendix2.pdf","text":"Appendix 2","size":"908 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Reach Map"},{"id":7894,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2002/0032/ofr20020032_appendix1.pdf","text":"Appendix 1","size":"61.6 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Dike Field Maps"},{"id":376076,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2002/0032/ofr20020032.pdf","text":"Report","size":"4.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2002-32"}],"country":"United States","state":"Missouri","city":"Hermann","otherGeospatial":"Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.10937499999999,\n              38.348118547988065\n            ],\n            [\n              -90.41473388671875,\n              38.348118547988065\n            ],\n            [\n              -90.41473388671875,\n              38.79904887985135\n            ],\n            [\n              -92.10937499999999,\n              38.79904887985135\n            ],\n            [\n              -92.10937499999999,\n              38.348118547988065\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/cerc\" data-mce-href=\"https://www.usgs.gov/centers/cerc\">Columbia Environmental Research Center</a><br>U.S. Geological Survey<br>4200 New Haven Road<br>Columbia, MO 65201</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2002-04-01","noUsgsAuthors":false,"publicationDate":"2002-04-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6496af","contributors":{"authors":[{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":206442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laustrup, Mark S.","contributorId":31028,"corporation":false,"usgs":true,"family":"Laustrup","given":"Mark","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":206443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reuter, Joanna M.","contributorId":50179,"corporation":false,"usgs":true,"family":"Reuter","given":"Joanna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":206444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":33035,"text":"wri024044 - 2002 - Estimation of nitrogen yields and loads from basins draining to Long Island Sound, 1988–98","interactions":[],"lastModifiedDate":"2020-05-19T14:25:06.51257","indexId":"wri024044","displayToPublicDate":"2020-04-30T13:05:00","publicationYear":"2002","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2002-4044","displayTitle":"Estimation of Nitrogen Yields and Loads from Basins Draining to Long Island Sound, 1988–98","title":"Estimation of nitrogen yields and loads from basins draining to Long Island Sound, 1988–98","docAbstract":"Monitoring data on total nitrogen concentrations\r\nand streamflow were used to estimate annual\r\nnonpoint nitrogen loads for 1988?98 at 28 monitoring\r\nsites and 26 unmonitored basins that drain\r\nto Long Island Sound. The estimated total nitrogen\r\nyields at monitoring sites were used with basin\r\ncharacteristics and ancillary data to develop a\r\nmultiple-linear regression equation to estimate\r\nnonpoint nitrogen yields from monitored and\r\nunmonitored basins. The estimated nonpoint\r\nnitrogen load to Long Island Sound from the\r\nbasins studied ranged from 21 million pounds in\r\nwater year 1995 to 50 million pounds in water year\r\n1990.\r\nStatistically significant regression variables\r\ninclude time, population density, annual mean\r\nrunoff (minus wastewater return flow), pointsource\r\nnitrogen yields, percentage of basin area\r\nclassified as urban/recreational grasses,\r\npercentage of the basin classified as agricultural\r\nland, and the ratio of deciduous to total forest area.\r\nNonpoint nitrogen loads from monitored and\r\nunmonitored basins were computed using the\r\nregression equation by setting the point-source\r\nnitrogen yields and wastewater return variables to\r\nzero, and incorporating streamflow information\r\nfrom index stations in or near unmonitored basins.\r\nNonpoint nitrogen load information obtained\r\nthrough use of this equation was summarized by\r\nsix Long Island Sound management zones.\r\nEstimates of nonpoint nitrogen loads from\r\nthese basins can be improved by additional\r\nsampling, and by developing data on nitrogen\r\nloads from municipal wastewater-treatment facilities\r\noutside of Connecticut, compiling information\r\non annual interbasin diversions of flow, studying\r\ninstream losses of nitrogen, and analyzing the\r\nprocessing and storage of atmospheric nitrogen in\r\ndifferent forest types.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri024044","usgsCitation":"Mullaney, J.R., Schwarz, G.E., Trench, E.C.T., 2002, Estimation of nitrogen yields and loads from basins draining to Long Island Sound, 1988–98: U.S. Geological Survey Water-Resources Investigations Report 2002-4044, 84 p., https://doi.org/10.3133/wri024044.","productDescription":"viii, 84 p.","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":126797,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2002/4044/coverthb.jpg"},{"id":3206,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2002/4044/wri20024044.pdf","text":"Report","size":"8.82 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2002-4044"}],"country":"United States","state":"New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.861083984375,\n              40.85537053192494\n            ],\n            [\n              -73.98193359375,\n              40.74725696280421\n            ],\n            [\n              -73.828125,\n              40.74725696280421\n            ],\n            [\n              -73.377685546875,\n              40.79717741518766\n            ],\n            [\n              -72.18017578125,\n              40.9218144123785\n            ],\n            [\n              -71.35620117187499,\n              41.18692242290296\n            ],\n            [\n              -71.455078125,\n              41.42625319507269\n            ],\n            [\n              -71.96044921875,\n              41.42625319507269\n            ],\n            [\n              -72.982177734375,\n              41.343824581185686\n            ],\n            [\n              -73.773193359375,\n              41.0130657870063\n            ],\n            [\n              -73.861083984375,\n              40.85537053192494\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"dc_nweng@usgs.gov\" data-mce-href=\"dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Collection and Analysis</li><li>Nitrogen Loads and Yields from Basins Draining to Long Island Sound, 1988-98</li><li>Information to Improve Nitrogen Load Estimates</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Parameter estimates and coefficient of determination for explanatory variables used in ESTIMATOR total nitrogen load calculations at monitoring stations in basins draining to Long Island Sound</li><li>Appendix 2. Model calibration and prediction</li><li>Appendix 3. Regression model input data and nitrogen loads from monitored basins draining to Long Island Sound, 1988–98</li><li>Appendix 4. Nonpoint nitrogen yields and 90-percent confidence intervals for unmonitored and monitored basins draining to Long Island Sound, 1988–98</li><li>Appendix 5. Estimates of total nitrogen load from municipal wastewater-treatment facilities (1998) and estimates of return flow (1990) used in multiple regression analysis</li></ul>","publishedDate":"2002-06-01","noUsgsAuthors":false,"publicationDate":"2002-06-01","publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667ab6","contributors":{"authors":[{"text":"Mullaney, John R. 0000-0003-4936-5046 jmullane@usgs.gov","orcid":"https://orcid.org/0000-0003-4936-5046","contributorId":1957,"corporation":false,"usgs":true,"family":"Mullaney","given":"John","email":"jmullane@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":209746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwarz, Gregory E. 0000-0002-9239-4566 gschwarz@usgs.gov","orcid":"https://orcid.org/0000-0002-9239-4566","contributorId":218266,"corporation":false,"usgs":true,"family":"Schwarz","given":"Gregory E.","email":"gschwarz@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":209745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trench, Elaine C. Todd etrench@usgs.gov","contributorId":4557,"corporation":false,"usgs":true,"family":"Trench","given":"Elaine","email":"etrench@usgs.gov","middleInitial":"C. Todd","affiliations":[],"preferred":true,"id":209744,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70199890,"text":"70199890 - 2002 - Property transfer from particle and aggregate size to water retention [property-transfer models]","interactions":[],"lastModifiedDate":"2018-10-03T07:38:05","indexId":"70199890","displayToPublicDate":"2018-01-01T07:37:03","publicationYear":"2002","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Property transfer from particle and aggregate size to water retention [property-transfer models]","docAbstract":"<p>No abstract available.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods of soil analysis: Part 4 physical methods","language":"English","publisher":"Soil Science Society of America","publisherLocation":"Madison, Wisconsin","usgsCitation":"Nimmo, J.R., 2002, Property transfer from particle and aggregate size to water retention [property-transfer models], chap. <i>of</i> Methods of soil analysis: Part 4 physical methods, p. 777-782.","productDescription":"6 p.","startPage":"777","endPage":"782","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":358046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10efaae4b034bf6a804b09","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747149,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174622,"text":"70174622 - 2002 - Natural and management influences on freshwater inflows and salinity in the San Francisco Estuary at monthly to interannual scales","interactions":[],"lastModifiedDate":"2018-04-02T12:24:24","indexId":"70174622","displayToPublicDate":"2016-02-17T07:15:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Natural and management influences on freshwater inflows and salinity in the San Francisco Estuary at monthly to interannual scales","docAbstract":"<p><span>Understanding the processes controlling the physics, chemistry, and biology of the San Francisco Estuary and their relation to climate variability is complicated by the combined influence on freshwater inflows of natural variability and upstream management. To distinguish these influences, alterations of estuarine inflow due to major reservoirs and freshwater pumping in the watershed were inferred from available data. Effects on salinity were estimated by using reconstructed estuarine inflows corresponding to differing levels of impairment to drive a numerical salinity model. Both natural and management inflow and salinity signals show strong interannual variability. Management effects raise salinities during the wet season, with maximum influence in spring. While year‐to‐year variations in all signals are very large, natural interannual variability can greatly exceed the range of management effects on salinity in the estuary.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2001WR000360","usgsCitation":"Knowles, N., 2002, Natural and management influences on freshwater inflows and salinity in the San Francisco Estuary at monthly to interannual scales: Water Resources Research, v. 38, no. 12, p. 25-1-25-11, https://doi.org/10.1029/2001WR000360.","productDescription":"Article 1289; 11 p.","startPage":"25-1","endPage":"25-11","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":478577,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001wr000360","text":"Publisher Index Page"},{"id":325229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Francisco","city":"San Francisco","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","issue":"12","noUsgsAuthors":false,"publicationDate":"2002-12-13","publicationStatus":"PW","scienceBaseUri":"57876630e4b0d27deb36e196","contributors":{"authors":[{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642449,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70174623,"text":"70174623 - 2002 - Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary","interactions":[],"lastModifiedDate":"2018-11-28T07:55:40","indexId":"70174623","displayToPublicDate":"2015-12-09T03:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary","docAbstract":"<p><span>California's primary hydrologic system, the San Francisco estuary and its upstream watershed, is vulnerable to the regional hydrologic consequences of projected global climate change. Projected temperature anomalies from a global climate model are used to drive a combined model of watershed hydrology and estuarine dynamics. By 2090, a projected temperature increase of 2.1&deg;C results in a loss of about half of the average April snowpack storage, with greatest losses in the northern headwaters. Consequently, spring runoff is reduced by 5.6 km</span><span>3</span><span>(&sim;20% of historical annual runoff), with associated increases in winter flood peaks. The smaller spring flows yield spring/summer salinity increases of up to 9 psu, with larger increases in wet years.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2001GL014339","usgsCitation":"Knowles, N., and Cayan, D.R., 2002, Potential effects of global warming on the Sacramento/San Joaquin watershed and the San Francisco estuary: Geophysical Research Letters, v. 29, no. 18, p. 38-1-38-4, https://doi.org/10.1029/2001GL014339.","productDescription":"4 p.","startPage":"38-1","endPage":"38-4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":478582,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2001gl014339","text":"Publisher Index Page"},{"id":325232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Francisco","city":"San Francisco","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              38.30933576918588\n            ],\n            [\n              -121.2506103515625,\n              37.14499280340638\n            ],\n            [\n              -123.03314208984374,\n              37.14499280340638\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","issue":"18","noUsgsAuthors":false,"publicationDate":"2002-09-28","publicationStatus":"PW","scienceBaseUri":"57876630e4b0d27deb36e19c","contributors":{"authors":[{"text":"Knowles, Noah 0000-0001-5652-1049 nknowles@usgs.gov","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":1380,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","email":"nknowles@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":642450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cayan, Daniel R. 0000-0002-2719-6811 drcayan@usgs.gov","orcid":"https://orcid.org/0000-0002-2719-6811","contributorId":1494,"corporation":false,"usgs":true,"family":"Cayan","given":"Daniel","email":"drcayan@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":642451,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159906,"text":"70159906 - 2002 - Modeling and measuring snow for assessing climate change impacts in Glacier National Park, Montana","interactions":[],"lastModifiedDate":"2019-11-13T09:09:42","indexId":"70159906","displayToPublicDate":"2015-08-17T12:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling and measuring snow for assessing climate change impacts in Glacier National Park, Montana","docAbstract":"<p>A 12-year program of global change research at Glacier National Park by the U.S. Geological Survey and numerous collaborators has made progress in quantifying the role of snow as a driver of mountain ecosystem processes. Spatially extensive snow surveys during the annual accumulation/ablation cycle covered two mountain watersheds and approximately 1,000 km2 . Over 7,000 snow depth and snow water equivalent (SWE) measurements have been made through spring 2002. These augment two SNOTEL sites, 9 NRCS snow courses, and approximately 150 snow pit analyses. Snow data were used to establish spatially-explicit interannual variability in snowpack SWE. East of the Continental Divide, snowpack SWE was lower but also less variable than west of the Divide. Analysis of snowpacks suggest downward trends in SWE, a reduction in snow cover duration, and earlier melt-out dates during the past 52 years. Concurrently, high elevation forests and treelines have responded with increased growth. However, the 80 year record of snow from 3 NRCS snow courses reflects a strong influence from the Pacific Decadal Oscillation, resulting in 20-30 year phases of greater or lesser mean SWE. Coupled with the fine-resolution spatial snow data from the two watersheds, the ecological consequences of changes in snowpack can be empirically assessed at a habitat patch scale. This will be required because snow distribution models have had varied success in simulating snowpack accumulation/ablation dynamics in these mountain watersheds, ranging from R2=0.38 for individual south-facing forested snow survey routes to R2=0.95 when aggregated to the watershed scale. Key ecological responses to snowpack changes occur below the watershed scale, such as snow-mediated expansion of forest into subalpine meadows, making continued spatially-explicit snow surveys a necessity.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of International Snow Science Workshop","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"International Snow Science Workshop","conferenceDate":"September 29 - October 4, 2002","conferenceLocation":"Penticton, British Columbia","language":"English","publisher":"Montana State University","publisherLocation":"Bozeman, MT","usgsCitation":"Fagre, D.B., Selkowitz, D.J., Reardon, B., Holzer, K., and McKeon, L., 2002, Modeling and measuring snow for assessing climate change impacts in Glacier National Park, Montana, <i>in</i> Proceedings of International Snow Science Workshop, Penticton, British Columbia, September 29 - October 4, 2002, 8 p.","productDescription":"8 p","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":311861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311860,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://arc.lib.montana.edu/snow-science/search.php?workshop=International+Snow+Science+Workshop+Proceedings+2002"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.08178710937499,\n              49.005447494058096\n            ],\n            [\n              -114.9609375,\n              48.73807825631017\n            ],\n            [\n              -114.7796630859375,\n              48.669198799260045\n            ],\n            [\n              -114.4940185546875,\n              48.50932644976633\n            ],\n            [\n              -114.1754150390625,\n              48.381793961204984\n            ],\n            [\n              -113.9996337890625,\n              48.06706753191901\n            ],\n            [\n              -113.04931640625,\n              48.35989909002194\n            ],\n            [\n              -113.2470703125,\n              48.53479452317522\n            ],\n            [\n              -113.3843994140625,\n              48.75618876280552\n            ],\n            [\n              -113.4613037109375,\n              48.99824008113872\n            ],\n            [\n              -115.08178710937499,\n              49.005447494058096\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175dce4b06a3ea36c56d6","contributors":{"authors":[{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":580981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selkowitz, David J. 0000-0003-0824-7051 dselkowitz@usgs.gov","orcid":"https://orcid.org/0000-0003-0824-7051","contributorId":3259,"corporation":false,"usgs":true,"family":"Selkowitz","given":"David","email":"dselkowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":580982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reardon, Blase","contributorId":150198,"corporation":false,"usgs":true,"family":"Reardon","given":"Blase","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":580983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holzer, Karen","contributorId":89055,"corporation":false,"usgs":true,"family":"Holzer","given":"Karen","email":"","affiliations":[],"preferred":false,"id":580984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKeon, Lisa 0000-0002-1760-0235 lisa_mckeon@usgs.gov","orcid":"https://orcid.org/0000-0002-1760-0235","contributorId":3683,"corporation":false,"usgs":true,"family":"McKeon","given":"Lisa","email":"lisa_mckeon@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":580985,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159910,"text":"70159910 - 2002 - Modeling and monitoring ecosystem responses to climate change in 3 North American mountain ranges","interactions":[],"lastModifiedDate":"2015-12-03T11:31:02","indexId":"70159910","displayToPublicDate":"2015-07-13T09:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Modeling and monitoring ecosystem responses to climate change in 3 North American mountain ranges","docAbstract":"<p>No abstract available</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountain Biodiversity: A global assessment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Parthenon","usgsCitation":"Fagre, D.B., and Peterson, D.L., 2002, Modeling and monitoring ecosystem responses to climate change in 3 North American mountain ranges, chap. <i>of</i> Mountain Biodiversity: A global assessment, p. 251-261.","productDescription":"11 p.","startPage":"251","endPage":"261","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":311864,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175dce4b06a3ea36c56d8","contributors":{"editors":[{"text":"Korner, Ch.","contributorId":150207,"corporation":false,"usgs":false,"family":"Korner","given":"Ch.","email":"","affiliations":[],"preferred":false,"id":581003,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Spehn, E.M.","contributorId":150208,"corporation":false,"usgs":false,"family":"Spehn","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":581004,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Fagre, Daniel B. 0000-0001-8552-9461 dan_fagre@usgs.gov","orcid":"https://orcid.org/0000-0001-8552-9461","contributorId":2036,"corporation":false,"usgs":true,"family":"Fagre","given":"Daniel","email":"dan_fagre@usgs.gov","middleInitial":"B.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":581001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, D. L.","contributorId":36484,"corporation":false,"usgs":true,"family":"Peterson","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":581002,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70159751,"text":"70159751 - 2002 - Grizzly bear denning and potential conflict areas in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2015-11-19T13:27:50","indexId":"70159751","displayToPublicDate":"2015-07-06T08:00:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Grizzly bear denning and potential conflict areas in the Greater Yellowstone Ecosystem","docAbstract":"<p>Increasing winter use of steep, high-elevation terrain by backcountry recreationists has elevated concern about disturbance of denning grizzly bears (Ursus arctos) in the Greater Yellowstone Ecosystem (GYE). To help identify areas where such conflicts might occur, we developed a spatially explicit model to predict potential denning areas in the GYE. Using a scan area of 630 m around each location, we assigned site attributes to 344 den locations of radio-trackedg rizzly bears from 1975-99. Attributesi dentified as predictorsf or the analysis included elevation, slope, an index of solar radiation, and forest cover. We used the Mahalanobis distance statistic to model the similarity between sites used by denning bears and each cell in the data layers. We used the final Mahalanobis distance model to produce maps of the study area. Potential denning habitat, based upon the model, is abundantw ithin the GYE. Ourr esultsc an be used by land managementa gencies to identifyp otentialc onflict sites and minimize effects of regulated activities on denning grizzly bears. We illustrate how the Gallatin National Forest (GNF) used the model to examine the overlap between potential snowmobile use areas and potential denning habitat as part of a Biological Assessment submitted to the U.S. Fish and Wildlife Service.</p>","language":"English","publisher":"International Association for Bear Research & Management.","usgsCitation":"Podruzny, S., Cherry, S., Schwartz, C.C., and Landenburger, L., 2002, Grizzly bear denning and potential conflict areas in the Greater Yellowstone Ecosystem: Ursus, v. 13, p. 19-28.","productDescription":"10 p.","startPage":"19","endPage":"28","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":311573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":311572,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.bearbiology.com/index.php?id=ursvol13_10"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.6595458984375,\n              43.20517581723733\n            ],\n            [\n              -111.6595458984375,\n              45.3868773482704\n            ],\n            [\n              -108.7591552734375,\n              45.3868773482704\n            ],\n            [\n              -108.7591552734375,\n              43.20517581723733\n            ],\n            [\n              -111.6595458984375,\n              43.20517581723733\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"564f00c7e4b064dd1d095585","contributors":{"authors":[{"text":"Podruzny, Shannon","contributorId":45614,"corporation":false,"usgs":true,"family":"Podruzny","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":580340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cherry, Steve","contributorId":90450,"corporation":false,"usgs":true,"family":"Cherry","given":"Steve","email":"","affiliations":[],"preferred":false,"id":580341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwartz, Charles C.","contributorId":124574,"corporation":false,"usgs":false,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":5119,"text":"Retired from U.S. Geological Survey, Interagency Grizzly Bear Study Team, Northern Rocky Mountain Science Center, 2327 University Way, suite 2, Bozeman, MT 59715","active":true,"usgs":false}],"preferred":false,"id":580342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landenburger, Lisa 0000-0002-4325-3652 lisa_landenburger@usgs.gov","orcid":"https://orcid.org/0000-0002-4325-3652","contributorId":4106,"corporation":false,"usgs":true,"family":"Landenburger","given":"Lisa","email":"lisa_landenburger@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":580343,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70117710,"text":"70117710 - 2002 - Physiography of the Monterey Bay National Marine Sanctuary and implications about continental margin development","interactions":[],"lastModifiedDate":"2014-07-23T16:44:15","indexId":"70117710","displayToPublicDate":"2013-07-23T16:38:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Physiography of the Monterey Bay National Marine Sanctuary and implications about continental margin development","docAbstract":"Combined EM-300 multibeam bathymetric data and satellite photography reveal the physiography of the continental margin between 35°50′ and 37°03′N and from the shoreline west of 122°40′ and 122°37′W, which includes Monterey Bay, in a previously unprecedented detail. Patterns in these images clearly reveal the processes that are actively influencing the current geomorphology of the Monterey Bay region, including the Monterey Bay National Marine Sanctuary (MBNMS). Our data indicates that seafloor physiography within the MBNMS results from plate margin tectonic deformation, including uplift and erosion along structural lineaments, and from fluid flow. Mass wasting is the dominant process active within the Ascension–Monterey and Sur–Partington submarine canyon systems and along the lower slopes. Meanders, slump dams, and constricted channels within the submarine canyons, especially within Monterey Canyon, slow and interrupt down-canyon sediment transport. We have identified for the first time thin sediment flows, rotational slumps, rills, depressions that may be associated with pipes, and other fluid-induced features we call ‘scallops’ off the Ascension slope, and suggest that fluid flow has sculptured the seafloor morphologies here. These unusual seafloor morphologies are similar to morphologies found in terrestrial areas modified by ground-water flow.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/S0025-3227(01)00261-4","usgsCitation":"Greene, H., Maher, N., and Paull, C.K., 2002, Physiography of the Monterey Bay National Marine Sanctuary and implications about continental margin development: Marine Geology, v. 181, no. 1-3, p. 55-82, https://doi.org/10.1016/S0025-3227(01)00261-4.","productDescription":"28 p.","startPage":"55","endPage":"82","costCenters":[],"links":[{"id":290841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":290840,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/S0025-3227(01)00261-4"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.145263,36.629278 ], [ -122.145263,36.941309 ], [ -121.827806,36.941309 ], [ -121.827806,36.629278 ], [ -122.145263,36.629278 ] ] ] } } ] }","volume":"181","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57fe9961e4b0824b2d14e20c","contributors":{"authors":[{"text":"Greene, H.D.","contributorId":19881,"corporation":false,"usgs":true,"family":"Greene","given":"H.D.","email":"","affiliations":[],"preferred":false,"id":496066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maher, N.M.","contributorId":25312,"corporation":false,"usgs":true,"family":"Maher","given":"N.M.","email":"","affiliations":[],"preferred":false,"id":496067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":496068,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157405,"text":"70157405 - 2002 - Improving a regional model using reduced complexity and parameter estimation","interactions":[],"lastModifiedDate":"2022-01-21T16:51:07.573419","indexId":"70157405","displayToPublicDate":"2012-02-29T02:30:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Improving a regional model using reduced complexity and parameter estimation","docAbstract":"<div class=\"para\">\n<p>The availability of powerful desktop computers and graphical user interfaces for ground water flow models makes possible the construction of ever more complex models. A proposed copper-zinc sulfide mine in northern Wisconsin offers a unique case in which the same hydrologic system has been modeled using a variety of techniques covering a wide range of sophistication and complexity. Early in the permitting process, simple numerical models were used to evaluate the necessary amount of water to be pumped from the mine, reductions in streamflow, and the drawdowns in the regional aquifer. More complex models have subsequently been used in an attempt to refine the predictions. Even after so much modeling effort, questions regarding the accuracy and reliability of the predictions remain.</p>\n</div>\n<div class=\"para\">\n<p>We have performed a new analysis of the proposed mine using the two-dimensional analytic element code GFLOW coupled with the nonlinear parameter estimation code UCODE. The new model is parsimonious, containing fewer than 10 parameters, and covers a region several times larger in areal extent than any of the previous models. The model demonstrates the suitability of analytic element codes for use with parameter estimation codes. The simplified model results are similar to the more complex models; predicted mine inflows and UCODE-derived 95% confidence intervals are consistent with the previous predictions. More important, the large areal extent of the model allowed us to examine hydrological features not included in the previous models, resulting in new insights about the effects that far-field boundary conditions can have on near-field model calibration and parameterization. In this case, the addition of surface water runoff into a lake in the headwaters of a stream while holding recharge constant moved a regional ground watershed divide and resulted in some of the added water being captured by the adjoining basin. Finally, a simple analytical solution was used to clarify the GFLOW model's prediction that, for a model that is properly calibrated for heads, regional drawdowns are relatively unaffected by the choice of aquifer properties, but that mine inflows are strongly affected. Paradoxically, by reducing model complexity, we have increased the understanding gained from the modeling effort.</p>\n</div>","language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2002.tb02498.x","usgsCitation":"Kelson, V.A., Hunt, R.J., and Haitjema, H.M., 2002, Improving a regional model using reduced complexity and parameter estimation: Groundwater, v. 40, no. 2, p. 132-143, https://doi.org/10.1111/j.1745-6584.2002.tb02498.x.","productDescription":"12 p.","startPage":"132","endPage":"143","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":308388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Forest County, Langlade County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.6833,46.0144],[-88.6844,45.9823],[-88.6746,45.9823],[-88.6757,45.8958],[-88.6761,45.8093],[-88.6758,45.7247],[-88.5519,45.723],[-88.4665,45.7224],[-88.4254,45.7225],[-88.4255,45.6356],[-88.4262,45.5492],[-88.4263,45.5071],[-88.4258,45.4925],[-88.4261,45.4774],[-88.4257,45.4633],[-88.4259,45.4505],[-88.4261,45.4358],[-88.4263,45.4212],[-88.4272,45.4066],[-88.4283,45.3769],[-88.5542,45.3778],[-88.6418,45.3784],[-88.6587,45.3785],[-88.6781,45.3787],[-88.6783,45.3654],[-88.6784,45.3554],[-88.6791,45.2946],[-88.6802,45.2051],[-88.6395,45.2048],[-88.6399,45.1171],[-88.6574,45.1172],[-88.6826,45.1174],[-88.7343,45.1172],[-88.8118,45.1177],[-88.8623,45.1175],[-88.9301,45.1182],[-88.9818,45.118],[-88.9812,45.0299],[-89.1019,45.0293],[-89.2239,45.0297],[-89.2242,45.1187],[-89.3024,45.1184],[-89.3457,45.1184],[-89.4258,45.1189],[-89.4257,45.2057],[-89.4256,45.293],[-89.4268,45.3802],[-89.4274,45.4707],[-89.3013,45.4692],[-89.174,45.4681],[-89.0467,45.4668],[-89.0468,45.5518],[-89.0475,45.6391],[-89.0469,45.7265],[-89.047,45.8097],[-89.0477,45.8953],[-89.0478,45.9822],[-88.9332,45.9822],[-88.9329,46.0746],[-88.8507,46.0409],[-88.8473,46.0368],[-88.8431,46.0336],[-88.8426,46.0333],[-88.8371,46.0312],[-88.8325,46.0294],[-88.828,46.0294],[-88.8248,46.0294],[-88.8207,46.0289],[-88.819,46.0284],[-88.8169,46.0278],[-88.8143,46.026],[-88.8123,46.0247],[-88.8103,46.0238],[-88.8083,46.0238],[-88.8077,46.0238],[-88.8051,46.0238],[-88.8031,46.0252],[-88.803,46.0275],[-88.8024,46.0302],[-88.8017,46.032],[-88.7991,46.0338],[-88.7974,46.0344],[-88.7968,46.0346],[-88.7948,46.0341],[-88.7928,46.0332],[-88.7914,46.0318],[-88.7895,46.0324],[-88.7873,46.0334],[-88.786,46.0336],[-88.7843,46.0329],[-88.7828,46.0311],[-88.7828,46.0292],[-88.7841,46.0274],[-88.7847,46.026],[-88.7866,46.0232],[-88.7865,46.0209],[-88.7856,46.0196],[-88.7848,46.0186],[-88.7824,46.0178],[-88.7798,46.0178],[-88.7777,46.0179],[-88.7758,46.0181],[-88.7753,46.0197],[-88.7747,46.0203],[-88.7734,46.0216],[-88.7715,46.024],[-88.7691,46.0239],[-88.7669,46.0226],[-88.7662,46.0208],[-88.7637,46.02],[-88.7632,46.02],[-88.7615,46.02],[-88.7565,46.0212],[-88.754,46.0226],[-88.7507,46.0248],[-88.7458,46.0267],[-88.7408,46.028],[-88.7363,46.028],[-88.7334,46.0277],[-88.7317,46.0273],[-88.7284,46.0256],[-88.7251,46.0239],[-88.7232,46.0219],[-88.7221,46.0209],[-88.7216,46.0202],[-88.7241,46.0183],[-88.7254,46.0165],[-88.7253,46.0146],[-88.724,46.0133],[-88.7214,46.0133],[-88.7168,46.0139],[-88.7144,46.015],[-88.7129,46.0157],[-88.7084,46.0167],[-88.7023,46.0177],[-88.6977,46.0177],[-88.6953,46.0173],[-88.6913,46.0166],[-88.6846,46.0149],[-88.6833,46.0144]]]},\"properties\":{\"name\":\"Forest\",\"state\":\"WI\"}}]}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2005-12-13","publicationStatus":"PW","scienceBaseUri":"56027bd9e4b03bc34f544856","contributors":{"authors":[{"text":"Kelson, Victor A.","contributorId":41713,"corporation":false,"usgs":true,"family":"Kelson","given":"Victor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":573025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":573026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haitjema, Henk M.","contributorId":74678,"corporation":false,"usgs":true,"family":"Haitjema","given":"Henk","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":573027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70007011,"text":"70007011 - 2002 - Lichens from Simeonof Wilderness, Shumagin Island, Southwestern Alaska","interactions":[],"lastModifiedDate":"2021-12-13T15:56:19.676149","indexId":"70007011","displayToPublicDate":"2012-01-01T16:23:00","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1087,"text":"Bryologist","active":true,"publicationSubtype":{"id":10}},"title":"Lichens from Simeonof Wilderness, Shumagin Island, Southwestern Alaska","docAbstract":"One hundred eighty-eight taxa of lichens are reported from Simeonof Island in the Shumagin Islands of southwestern Alaska. Wide-ranging arctic-alpine and boreal species dominate the lichens; a coastal element is moderately represented, while amphi-Beringian species form a minor element. The lichen component of Empetrum nigrum dwarf shrub heath, the dominant vegetation type, was analyzed to identify the most frequently occurring lichens within this community.","language":"English","publisher":"BioOne","doi":"10.1639/0007-2745(2002)105[0111:LFSWSI]2.0.CO;2","usgsCitation":"Talbot, S., Talbot, S.L., Thomson, J., Daniels, F., and Schofield, W., 2002, Lichens from Simeonof Wilderness, Shumagin Island, Southwestern Alaska: Bryologist, v. 105, no. 1, p. 111-121, https://doi.org/10.1639/0007-2745(2002)105[0111:LFSWSI]2.0.CO;2.","productDescription":"11 p.","startPage":"111","endPage":"121","costCenters":[{"id":106,"text":"Alaska Biological Science Center","active":false,"usgs":true}],"links":[{"id":259521,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Shumagin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -160.3125,\n              54.667477840945715\n            ],\n            [\n              -159.093017578125,\n              54.667477840945715\n            ],\n            [\n              -159.093017578125,\n              55.46017083861815\n            ],\n            [\n              -160.3125,\n              55.46017083861815\n            ],\n            [\n              -160.3125,\n              54.667477840945715\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a474ee4b0c8380cd67807","contributors":{"authors":[{"text":"Talbot, Stephen S.","contributorId":73266,"corporation":false,"usgs":true,"family":"Talbot","given":"Stephen S.","affiliations":[],"preferred":false,"id":355662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":355660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomson, J.W.","contributorId":46251,"corporation":false,"usgs":true,"family":"Thomson","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":355661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Daniels, F.J.A.","contributorId":92838,"corporation":false,"usgs":true,"family":"Daniels","given":"F.J.A.","email":"","affiliations":[],"preferred":false,"id":355664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schofield, W.B.","contributorId":76488,"corporation":false,"usgs":true,"family":"Schofield","given":"W.B.","email":"","affiliations":[],"preferred":false,"id":355663,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224172,"text":"5224172 - 2002 - Sources of variation in breeding-ground fidelity of mallards (Anas platyrhynchos)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:30","indexId":"5224172","displayToPublicDate":"2010-06-16T12:18:56","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variation in breeding-ground fidelity of mallards (Anas platyrhynchos)","docAbstract":"Generalizations used to support hypotheses about the evolution of fidelity to breeding areas in birds include the tendency for fidelity to be greater in adult birds than in yearlings.  In ducks, in contrast to most bird species, fidelity is thought to be greater among females than males.  Researchers have suggested that fidelity in ducks is positively correlated with pond availability.  However, most estimates of fidelity on which these inferences have been based represent functions of survival and recapture-resighting probabilities in addition to fidelity.  We applied the modeling approach developed by Burnham to recapture and band recovery data of mallard ducks to test the above hypotheses about fidelity.  We found little evidence of sex differences in adult philopatry, with females being slightly more philopatric than males in one study area, but not in a second study area.  However, yearling females were more philopatric than yearling males in both study areas.  We found that adults were generally more philopatric than yearlings.  We could find no relationship between fidelity and pond availability.  Our results, while partially supporting current theory concerning sex and age differences in philopatry, suggest that adult male mallards are more philopatric than once thought, and we recommend that other generalizations about philopatry be revisited with proper estimation techniques.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Behavioral Ecology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1093/beheco/13.4.543","collaboration":"5919_Doherty.pdf","usgsCitation":"Doherty, P., Nichols, J., Tautin, J., Voelzer, J., Smith, G., Benning, D., Bentley, V., Bidwell, J., Bollinger, K., Brazda, A., Buelna, E., Goldsberry, J., King, R., Roetker, F., Solberg, J., Thorpe, P., and Wortham, J., 2002, Sources of variation in breeding-ground fidelity of mallards (Anas platyrhynchos): Behavioral Ecology, v. 13, no. 4, p. 543-550, https://doi.org/10.1093/beheco/13.4.543.","productDescription":"543-550","startPage":"543","endPage":"550","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":478587,"rank":201,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/13.4.543","text":"Publisher Index Page"},{"id":201907,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17586,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1093/beheco/13.4.543","linkFileType":{"id":5,"text":"html"}}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc4dd","contributors":{"authors":[{"text":"Doherty, P.F. Jr.","contributorId":74096,"corporation":false,"usgs":true,"family":"Doherty","given":"P.F.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":340780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":340769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tautin, J.","contributorId":95168,"corporation":false,"usgs":true,"family":"Tautin","given":"J.","affiliations":[],"preferred":false,"id":340784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voelzer, J.E.","contributorId":43474,"corporation":false,"usgs":true,"family":"Voelzer","given":"J.E.","affiliations":[],"preferred":false,"id":340778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, G.W.","contributorId":6561,"corporation":false,"usgs":true,"family":"Smith","given":"G.W.","email":"","affiliations":[],"preferred":false,"id":340768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Benning, D.S.","contributorId":19671,"corporation":false,"usgs":true,"family":"Benning","given":"D.S.","affiliations":[],"preferred":false,"id":340771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bentley, V.R.","contributorId":43317,"corporation":false,"usgs":true,"family":"Bentley","given":"V.R.","email":"","affiliations":[],"preferred":false,"id":340777,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bidwell, J.K.","contributorId":27169,"corporation":false,"usgs":true,"family":"Bidwell","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":340773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bollinger, K.S.","contributorId":85542,"corporation":false,"usgs":true,"family":"Bollinger","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":340783,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brazda, A.R.","contributorId":78443,"corporation":false,"usgs":true,"family":"Brazda","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":340782,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Buelna, E.K.","contributorId":32650,"corporation":false,"usgs":true,"family":"Buelna","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":340775,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Goldsberry, J.R.","contributorId":33013,"corporation":false,"usgs":true,"family":"Goldsberry","given":"J.R.","affiliations":[],"preferred":false,"id":340776,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"King, R.J.","contributorId":19268,"corporation":false,"usgs":true,"family":"King","given":"R.J.","email":"","affiliations":[],"preferred":false,"id":340770,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roetker, F.H.","contributorId":24475,"corporation":false,"usgs":true,"family":"Roetker","given":"F.H.","affiliations":[],"preferred":false,"id":340772,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Solberg, J.W.","contributorId":78055,"corporation":false,"usgs":true,"family":"Solberg","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":340781,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thorpe, P.P.","contributorId":66819,"corporation":false,"usgs":true,"family":"Thorpe","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":340779,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wortham, J.S.","contributorId":31503,"corporation":false,"usgs":true,"family":"Wortham","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":340774,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":5224185,"text":"5224185 - 2002 - Metal concentrations in zebra mussels and sediments from embayments and riverine environments of eastern Lake Erie, southern Lake Ontario, and the Niagara River","interactions":[],"lastModifiedDate":"2021-12-10T16:44:43.22897","indexId":"5224185","displayToPublicDate":"2010-06-16T12:18:56","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Metal concentrations in zebra mussels and sediments from embayments and riverine environments of eastern Lake Erie, southern Lake Ontario, and the Niagara River","docAbstract":"<p>Concentrations of 14 metals were studied in the soft tissues of zebra mussels (<i>Dreissena polymorpha</i>) and sediments from 16 Great Lakes embayments and riverine environments. Samples were collected in 1993 and 1994 during the early and late autumn period when the body mass of mussels is least affected by reproductive activities. There was a significant difference in geometric mean concentrations of all metals except Cu in mussels sampled from different sites, and there was a significant difference in the geometric mean concentrations of all metals but Cd, Mn, and Zn between years. The higher metal concentrations in mussels from this study were generally similar to those in mussels from contaminated European and U.S. locations, and those with lower concentrations were similar to those from uncontaminated European and U.S. locations. Geometric mean sediment concentrations of all metals differed significantly among sites. Sediment concentrations of metals from some sites were above EPA guidelines for moderately polluted harbor sediments. Sites where zebra mussels had higher concentrations of Al, Cr, and V tended to be the same sites as those where sediment concentrations of these metals were also higher. However, there was not a significant statistical relationship between concentrations of metals in zebra mussels and sediments, except for Mg.</p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-002-1176-5","usgsCitation":"Lowe, T., and Day, D.D., 2002, Metal concentrations in zebra mussels and sediments from embayments and riverine environments of eastern Lake Erie, southern Lake Ontario, and the Niagara River: Archives of Environmental Contamination and Toxicology, v. 43, no. 3, p. 301-308, https://doi.org/10.1007/s00244-002-1176-5.","productDescription":"8 p.","startPage":"301","endPage":"308","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201742,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie, Lake Ontario, Niagara River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.14501953125,\n              42.293564192170095\n            ],\n            [\n              -81.309814453125,\n              41.68932225997044\n            ],\n            [\n              -79.1455078125,\n              42.407234661551875\n            ],\n            [\n              -78.73901367187499,\n              42.72280375732727\n            ],\n            [\n              -78.85986328125,\n              43.229195113965005\n            ],\n            [\n              -78.42041015625,\n              43.30919109985686\n            ],\n            [\n              -77.991943359375,\n              43.28520334369384\n            ],\n            [\n              -77.5634765625,\n              43.205175817237304\n            ],\n            [\n              -76.83837890625,\n              43.229195113965005\n            ],\n            [\n              -76.09130859375,\n              43.55651037504758\n            ],\n            [\n              -76.124267578125,\n              43.8028187190472\n            ],\n            [\n              -76.025390625,\n              44.04811573082351\n            ],\n            [\n              -78.50830078125,\n              43.50872101129684\n            ],\n            [\n              -79.25537109375,\n              43.31718491566705\n            ],\n            [\n              -79.420166015625,\n              43.08493742707592\n            ],\n            [\n              -80.2001953125,\n              42.83569550641452\n            ],\n            [\n              -81.14501953125,\n              42.293564192170095\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db6258e2","contributors":{"authors":[{"text":"Lowe, T. P.","contributorId":26028,"corporation":false,"usgs":true,"family":"Lowe","given":"T. P.","affiliations":[],"preferred":false,"id":340826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, D. D.","contributorId":28711,"corporation":false,"usgs":true,"family":"Day","given":"D.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":340827,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224182,"text":"5224182 - 2002 - How should detection probability be incorporated into estimates of relative abundance?","interactions":[],"lastModifiedDate":"2021-12-29T19:34:43.673702","indexId":"5224182","displayToPublicDate":"2010-06-16T12:18:56","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How should detection probability be incorporated into estimates of relative abundance?","docAbstract":"<p>Determination of the relative abundance of two populations, separated by time or space, is of interest in many ecological situations. We focus on two estimators of relative abundance, which assume that the probability that an individual is detected at least once in the survey is either equal or unequal for the two populations. We present three methods for incorporating the collected information into our inference. The first method, proposed previously, is a traditional hypothesis test for evidence that detection probabilities are unequal. However, we feel that, a priori, it is more likely that detection probabilities are actually different; hence, the burden of proof should be shifted, requiring evidence that detection probabilities are practically equivalent. The second method we present, equivalence testing, is one approach to doing so. Third, we suggest that model averaging could be used by combining the two estimators according to derived model weights. These differing approaches are applied to a mark-recapture experiment on Nuttail's cottontail rabbit (<i>Sylvilagus nuttallii</i>) conducted in central Oregon during 1974 and 1975, which has been previously analyzed by other authors.</p>","language":"English","publisher":"Wiley","doi":"10.1890/0012-9658(2002)083[2387:HSDPBI]2.0.CO;2","usgsCitation":"MacKenzie, D., and Kendall, W., 2002, How should detection probability be incorporated into estimates of relative abundance?: Ecology, v. 83, no. 9, p. 2387-2393, https://doi.org/10.1890/0012-9658(2002)083[2387:HSDPBI]2.0.CO;2.","productDescription":"7 p.","startPage":"2387","endPage":"2393","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200139,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.541015625,\n              42.71473218539458\n            ],\n            [\n              -124.4091796875,\n              41.934976500546604\n            ],\n            [\n              -116.89453125,\n              41.934976500546604\n            ],\n            [\n              -117.02636718749999,\n              44.5278427984555\n            ],\n            [\n              -116.49902343749999,\n              45.644768217751924\n            ],\n            [\n              -116.89453125,\n              45.98169518512228\n            ],\n            [\n              -119.5751953125,\n              45.9511496866914\n            ],\n            [\n              -120.2783203125,\n              45.73685954736049\n            ],\n            [\n              -121.025390625,\n              45.706179285330855\n            ],\n            [\n              -121.728515625,\n              45.706179285330855\n            ],\n            [\n              -122.431640625,\n              45.55252525134013\n            ],\n            [\n              -122.6953125,\n              45.767522962149876\n            ],\n            [\n              -122.6953125,\n              46.13417004624326\n            ],\n            [\n              -123.92578125,\n              46.042735653846506\n            ],\n            [\n              -124.541015625,\n              42.71473218539458\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae12b","contributors":{"authors":[{"text":"MacKenzie, D.I.","contributorId":69522,"corporation":false,"usgs":true,"family":"MacKenzie","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":340815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, W. L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":32880,"corporation":false,"usgs":true,"family":"Kendall","given":"W. L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":340814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224176,"text":"5224176 - 2002 - Estimating site occupancy rates when detection probabilities are less than one","interactions":[],"lastModifiedDate":"2021-12-29T19:41:53.01096","indexId":"5224176","displayToPublicDate":"2010-06-16T12:18:56","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating site occupancy rates when detection probabilities are less than one","docAbstract":"<p>Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are &lt; 1. The model provides a flexible framework enabling covariate information to be included and allowing for missing observations. Via computer simulation, we found that the model provides good estimates of the occupancy rates, generally unbiased for moderate detection probabilities (&gt;0.3). We estimated site occupancy rates for two anuran species at 32 wetland sites in Maryland, USA, from data collected during 2000 as part of an amphibian monitoring program, Frogwatch USA. Site occupancy rates were estimated as 0.49 for American toads (<i>Bufo americanus</i>), a 44% increase over the proportion of sites at which they were actually observed, and as 0.85 for spring peepers (<i>Pseudacris crucifer</i>), slightly above the observed proportion of 0.83.</p>","language":"English","publisher":"Wiley","doi":"10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2","usgsCitation":"MacKenzie, D., Nichols, J., Lachman, G., Droege, S., Royle, J., and Langtimm, C., 2002, Estimating site occupancy rates when detection probabilities are less than one: Ecology, v. 83, no. 8, p. 2248-2255, https://doi.org/10.1890/0012-9658(2002)083[2248:ESORWD]2.0.CO;2.","productDescription":"8 p.","startPage":"2248","endPage":"2255","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202254,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.541015625,\n              39.16414104768742\n            ],\n            [\n              -79.013671875,\n              39.26628442213066\n            ],\n            [\n              -78.0908203125,\n              39.470125122358176\n            ],\n            [\n              -77.255859375,\n              38.8225909761771\n            ],\n            [\n              -75.76171875,\n              37.055177106660814\n            ],\n            [\n              -75.05859375,\n              38.51378825951165\n            ],\n            [\n              -75.5419921875,\n              38.54816542304656\n            ],\n            [\n              -75.6298828125,\n              39.67337039176558\n            ],\n            [\n              -79.62890625,\n              39.740986355883564\n            ],\n            [\n              -79.541015625,\n              39.16414104768742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc86e","contributors":{"authors":[{"text":"MacKenzie, D.I.","contributorId":69522,"corporation":false,"usgs":true,"family":"MacKenzie","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":340792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":340790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lachman, G.B.","contributorId":91217,"corporation":false,"usgs":true,"family":"Lachman","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":340794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Droege, Sam 0000-0003-4393-0403","orcid":"https://orcid.org/0000-0003-4393-0403","contributorId":64185,"corporation":false,"usgs":true,"family":"Droege","given":"Sam","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":340791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":96221,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[],"preferred":false,"id":340795,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Langtimm, C.A. 0000-0001-8499-5743","orcid":"https://orcid.org/0000-0001-8499-5743","contributorId":71133,"corporation":false,"usgs":false,"family":"Langtimm","given":"C.A.","affiliations":[],"preferred":false,"id":340793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224154,"text":"5224154 - 2002 - Sources of variation in survival and breeding site fidelity in three species of European ducks","interactions":[],"lastModifiedDate":"2022-06-28T16:21:15.34541","indexId":"5224154","displayToPublicDate":"2010-06-16T12:18:55","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of variation in survival and breeding site fidelity in three species of European ducks","docAbstract":"<p>1. We used long-term capture-recapture-recovery data and a modelling approach developed by Burnham (1993) to test <i>a priori</i> predictions about sources of variation in annual survival rates and fidelity within a population of individually marked females in three species of European ducks from a breeding ground study site in Latvia. 2. True annual survival was higher for diving ducks (tufted duck 0-72, common pochard 0-65) and lower for northern shoveler (0-52). Survival of female diving ducks was positively correlated with mean winter temperatures at Western European wintering areas, the relationship being much stronger for pochard. 3. We present the first unbiased estimates of breeding fidelity and permanent emigration in European ducks. Estimated fidelity rates were high (0'88-1-0) and emigration rates low (0-0-12) for all three species, and we found strong evidence for age-specific differences in fidelity of pochards. Unusual long-distance (up to 2500 km) breeding dispersal movements that we found in female tufted ducks have not been documented in any other European waterfowl and are most probably a result of saturated nesting habitats. 4. Fidelity was a function of patch reproductive success in the previous year for all three species providing support for the idea that patch success is an important cue influencing fidelity. 5. Fidelity probability increased to 1.0 for shovelers during the last 12 years of study following provision of critical improvements in nesting habitats and suggested that habitat conditions and reproductive success determined site fidelity and settling patterns for shoveler and probably also influenced fidelity of the two other species. In predictable habitats, fidelity is a parameter that reflects the integration of fitness components and is thus a good quantity for assessing the effectiveness of habitat management actions.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1046/j.1365-2656.2002.00613.x","usgsCitation":"Blums, P., Nichols, J., and Hines, J., 2002, Sources of variation in survival and breeding site fidelity in three species of European ducks: Journal of Animal Ecology, v. 71, no. 3, p. 438-450, https://doi.org/10.1046/j.1365-2656.2002.00613.x.","productDescription":"13 p.","startPage":"438","endPage":"450","numberOfPages":"13","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":478589,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1046/j.1365-2656.2002.00613.x","text":"Publisher Index Page"},{"id":199582,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","issue":"3","noUsgsAuthors":false,"publicationDate":"2002-05-08","publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e74ee","contributors":{"authors":[{"text":"Blums, Peter","contributorId":25652,"corporation":false,"usgs":false,"family":"Blums","given":"Peter","email":"","affiliations":[],"preferred":false,"id":340708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":340707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":340709,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224155,"text":"5224155 - 2002 - Hierarchical modeling of population stability and species group attributes from survey data","interactions":[],"lastModifiedDate":"2021-12-29T19:47:01.925392","indexId":"5224155","displayToPublicDate":"2010-06-16T12:18:55","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical modeling of population stability and species group attributes from survey data","docAbstract":"Many ecological studies require analysis of collections of estimates.  For example, population change is routinely estimated for many species from surveys such as the North American Breeding Bird Survey  (BBS), and the species are grouped and used in comparative analyses.  We developed a hierarchical model for estimation of group attributes from a collection of estimates of population trend.  The model uses information from predefined groups of species to provide a context and to supplement data for individual species; summaries of group attributes are improved by statistical methods that simultaneously analyze collections of trend estimates.  The model is Bayesian; trends are treated as random variables rather than fixed parameters.  We use Markov Chain Monte Carlo (MCMC) methods to fit the model. Standard assessments of population stability cannot distinguish magnitude of trend and statistical significance of trend estimates, but the hierarchical model allows us to legitimately describe the probability that a trend is within given bounds.  Thus we define population stability in terms of the probability that the magnitude of population change for a species is less than or equal to a predefined threshold.  We applied the model to estimates of trend for 399 species from  the BBS to estimate the proportion of species with increasing populations and to identify species with unstable populations.  Analyses are presented for the collection of all species and for 12 species groups commonly used in BBS summaries.  Overall, we estimated that 49% of species in the BBS have positive trends and 33 species have unstable populations.  However, the proportion of species with increasing trends differs among habitat  groups, with grassland birds having only 19% of species with positive  trend estimates and wetland birds having 68% of species with positive trend estimates.","language":"English","publisher":"Wiley","doi":"10.1890/0012-9658(2002)083[1743:HMOPSA]2.0.CO;2","usgsCitation":"Sauer, J., and Link, W., 2002, Hierarchical modeling of population stability and species group attributes from survey data: Ecology, v. 83, no. 6, p. 1743-1751, https://doi.org/10.1890/0012-9658(2002)083[1743:HMOPSA]2.0.CO;2.","productDescription":"9 p.","startPage":"1743","endPage":"1751","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":199647,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae22b","contributors":{"authors":[{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":340711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":340710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224135,"text":"5224135 - 2002 - Inferring the absence of a species: A case study of snakes","interactions":[],"lastModifiedDate":"2022-08-04T17:01:40.764265","indexId":"5224135","displayToPublicDate":"2010-06-16T12:18:54","publicationYear":"2002","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":"Inferring the absence of a species: A case study of snakes","docAbstract":"<p><span>Though the presence of a species can be unequivocally confirmed, its absence can only be inferred with a degree of probability. I used a model to calculate the minimum number of unsuccessful visits to a site that are necessary to assume that a species is absent. The model requires the probability of detection of the species per visit to be known. This probability may vary depending on habitat, year, season, the area surveyed, the population size of the species, and the observer. I studied 3 European snake species-asp viper (<i>Vipera aspis</i>), smooth snake (<i>Coronella austriaca</i>), and grass snake (<i>Natrix natrix</i>)-over a 5-yr (1994-1998) interval, and made 645 visits to 87 sites during their activity periods. I used a generalized logistic regression approach with random effects for years and sites to (1) estimate the probability of detection of these species from sites known to be occupied, (2) test factors affecting it, and (3) compute the minimum number of times that a site must be visited to infer the absence of the particular species. Probability of detection for all species was heavily influenced by an index of population size. For <i>V. aspis</i>, probability of detection increased from 0.23 to 0.50 and 0.70 in small, medium, and large populations, respectively. Similarly, probability of detection increased from 0.09 to 0.45 and 0.56 in small, medium, and large populations of <i>C. austriaca</i>, respectively, and from 0.11 in small to 0.25 in medium and large populations of <i>N. natrix</i>. Probability of detection also varied across months for all 3 species, among habitat types (<i>C. austriaca</i> only), and from year to year (<i>N. natrix</i> only). Sites with unknown occupancy status conservatively may be assumed to be occupied by small populations. I calculated that such sites need to be surveyed 12, 34, and 26 times for <i>V. aspis</i>, <i>C. austriaca</i>, and <i>N. natrix</i>, respectively, before assuming with 95% probability that the site is unoccupied. These results suggest that some species may be more wide-spread than thought. However, to ascertain the presence of such species at a site, search efforts need to be intensive.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.2307/3803165","usgsCitation":"Kery, M., 2002, Inferring the absence of a species: A case study of snakes: Journal of Wildlife Management, v. 66, no. 2, p. 330-338, https://doi.org/10.2307/3803165.","productDescription":"9 p.","startPage":"330","endPage":"338","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6adfb5","contributors":{"authors":[{"text":"Kery, M.","contributorId":46637,"corporation":false,"usgs":true,"family":"Kery","given":"M.","affiliations":[],"preferred":false,"id":340653,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224134,"text":"5224134 - 2002 - Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research","interactions":[],"lastModifiedDate":"2022-08-04T17:04:23.313037","indexId":"5224134","displayToPublicDate":"2010-06-16T12:18:54","publicationYear":"2002","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":"Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research","docAbstract":"<p><span>Markov chain Monte Carlo (MCMC) is a statistical innovation that allows researchers to fit far more complex models to data than is feasible using conventional methods. Despite its widespread use in a variety of scientific fields, MCMC appears to be underutilized in wildlife applications. This may be due to a misconception that MCMC requires the adoption of a subjective Bayesian analysis, or perhaps simply to its lack of familiarity among wildlife researchers. We introduce the basic ideas of MCMC and software <i>BUGS</i> (Bayesian inference using Gibbs sampling), stressing that a simple and satisfactory intuition for MCMC does not require extraordinary mathematical sophistication. We illustrate the use of MCMC with an analysis of the association between latent factors governing individual heterogeneity in breeding and survival rates of kittiwakes (<i>Rissa tridactyla</i>). We conclude with a discussion of the importance of individual heterogeneity for understanding population dynamics and designing management plans.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.2307/3803160","usgsCitation":"Link, W.A., Cam, E., Nichols, J.D., and Cooch, E.G., 2002, Of bugs and birds: Markov Chain Monte Carlo for hierarchical modeling in wildlife research: Journal of Wildlife Management, v. 66, no. 2, p. 277-291, https://doi.org/10.2307/3803160.","productDescription":"15 p.","startPage":"277","endPage":"291","numberOfPages":"15","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202104,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af4e4b07f02db691f01","contributors":{"authors":[{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":340649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cam, Emmanuelle","contributorId":78069,"corporation":false,"usgs":true,"family":"Cam","given":"Emmanuelle","email":"","affiliations":[],"preferred":false,"id":340650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":340651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooch, Evan G.","contributorId":100673,"corporation":false,"usgs":true,"family":"Cooch","given":"Evan","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":340652,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224133,"text":"5224133 - 2002 - The importance of functional form in optimal control solutions of problems in population dynamics","interactions":[],"lastModifiedDate":"2021-12-29T19:57:17.547467","indexId":"5224133","displayToPublicDate":"2010-06-16T12:18:54","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The importance of functional form in optimal control solutions of problems in population dynamics","docAbstract":"Optimal control theory is finding increased application in both theoretical and applied ecology, and it is a central element of adaptive resource management.  One of the steps in an adaptive management process is to develop alternative models of system dynamics, models that are all reasonable in light of available data, but that differ substantially in their implications for optimal control of the resource.  We explored how the form of the recruitment and survival functions in a general population model for ducks affected the patterns in the optimal harvest strategy, using a combination of analytical, numerical, and simulation techniques.  We compared three relationships between recruitment and population density (linear, exponential, and hyperbolic) and three relationships between survival during the nonharvest season and population density (constant, logistic, and one related to the compensatory harvest mortality hypothesis).  We found that the form of the component functions had a dramatic influence on the optimal harvest strategy and the ultimate equilibrium state of the system.  For instance, while it is commonly assumed that a compensatory hypothesis leads to higher optimal harvest rates than an additive hypothesis, we found this to depend on the form of the recruitment function, in part because of differences in the optimal steady-state population density.  This work has strong direct consequences for those developing alternative models to describe harvested systems, but it is relevant to a larger class of problems applying optimal control at the population level.  Often, different functional forms will not be statistically distinguishable in the range of the data.  Nevertheless, differences between the functions outside the range of the data can have an important impact on the optimal harvest strategy.  Thus, development of alternative models by identifying a single functional form, then choosing different parameter combinations from extremes on the likelihood profile may end up producing alternatives that do not differ as importantly as if different functional forms had been used.  We recommend that biological knowledge be used to bracket a range of possible functional forms, and robustness of conclusions be checked over this range.","language":"English","publisher":"Wiley","doi":"10.1890/0012-9658(2002)083[1357:TIOFFI]2.0.CO;2","usgsCitation":"Runge, M., and Johnson, F., 2002, The importance of functional form in optimal control solutions of problems in population dynamics: Ecology, v. 83, no. 5, p. 1357-1371, https://doi.org/10.1890/0012-9658(2002)083[1357:TIOFFI]2.0.CO;2.","productDescription":"15 p.","startPage":"1357","endPage":"1371","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201862,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611c0c","contributors":{"authors":[{"text":"Runge, M.C. 0000-0002-8081-536X","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":49312,"corporation":false,"usgs":true,"family":"Runge","given":"M.C.","affiliations":[],"preferred":false,"id":340647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Fred A.","contributorId":93863,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred A.","affiliations":[],"preferred":false,"id":340648,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224132,"text":"5224132 - 2002 - On the estimation of species richness based on the accumulation of previously unrecorded species","interactions":[],"lastModifiedDate":"2021-12-28T16:23:56.284528","indexId":"5224132","displayToPublicDate":"2010-06-16T12:18:54","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"On the estimation of species richness based on the accumulation of previously unrecorded species","docAbstract":"Estimation of species richness of local communities has become an important topic in community ecology and monitoring.  Investigators can seldom enumerate all the species present in the area of interest during sampling sessions.  If the location of interest is sampled repeatedly within a short time period, the number of new species recorded is typically largest in the initial sample and decreases as sampling proceeds, but new species may be detected if sampling sessions are added.  The question is how to estimate the total number of species.  The data collected by sampling the area of interest repeatedly can be used to build species-accumulation curves: the cumulative number of species recorded as a function of the number of sampling sessions (which we refer to as ?species-accumulation data?).  A classic approach used to compute total species richness is to fit curves to the data on species accumulation with sampling effort.  This approach does not rest on direct estimation of the probability of detecting species during sampling sessions and has no underlying basis regarding the sampling process that gave rise to the data.  Here we recommend a probabilistic, nonparametric estimator for species richness for use with species-accumulation data.  We use estimators of population size that were developed for capture-recapture data, but that can be used to estimate the size of species assemblages using species-accumulation data.  Models of detection probability account for the underlying sampling process.  They permit variation in detection probability among species.  We illustrate this approach using data from the North American Breeding Bird Survey (BBS).  We describe other situations where species accumulation data are collected under different designs (e.g., over longer periods of time, or over spatial replicates) and that lend themselves to use of capture-recapture models for estimating the size of the community of interest.  We discuss the assumptions and interpretations corresponding to each situation.","language":"English","publisher":"Wiley","doi":"10.1034/j.1600-0587.2002.250112.x","usgsCitation":"Cam, E., Nichols, J., Sauer, J., and Hines, J., 2002, On the estimation of species richness based on the accumulation of previously unrecorded species: Ecography, v. 25, no. 1, p. 102-108, https://doi.org/10.1034/j.1600-0587.2002.250112.x.","productDescription":"7 p.","startPage":"102","endPage":"108","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201489,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama,  Louisiana,  Maine,  Maryland,  New  Hampshire, New Mexico, Vermont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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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":340644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":340646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":340645,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224125,"text":"5224125 - 2002 - Disentangling sampling and ecological explanations underlying species-area relationships","interactions":[],"lastModifiedDate":"2021-12-29T20:18:59.372253","indexId":"5224125","displayToPublicDate":"2010-06-16T12:18:54","publicationYear":"2002","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling sampling and ecological explanations underlying species-area relationships","docAbstract":"We used a probabilistic approach to address the influence of sampling artifacts on the form of species-area relationships (SARs).  We developed a model in which the increase in observed species richness is a function of sampling effort exclusively.  We assumed that effort depends on area sampled, and we generated species-area curves under that model.  These curves can be realistic looking. We then generated SARs from avian data, comparing SARs based on counts with those based on richness estimates.  We used an approach to estimation of species richness that accounts for species detection probability and, hence, for variation in sampling effort.  The slopes of SARs based on counts are steeper than those of curves based on estimates of richness, indicating that the former partly reflect failure to account for species detection probability.  SARs based on estimates reflect ecological processes exclusively, not sampling processes.  This approach permits investigation of ecologically relevant hypotheses.  The slope of SARs is not influenced by the slope of the relationship between habitat diversity and area. In situations in which not all of the species are detected during sampling sessions, approaches to estimation of species richness integrating species detection probability should be used to investigate the rate of increase in species richness with area.","language":"English","publisher":"Wiley","doi":"10.1890/0012-9658(2002)083[1118:DSAEEU]2.0.CO;2","usgsCitation":"Cam, E., Nichols, J., Hines, J., Sauer, J., Alpizar-Jara, R., and Flather, C., 2002, Disentangling sampling and ecological explanations underlying species-area relationships: Ecology, v. 83, no. 4, p. 1118-1130, https://doi.org/10.1890/0012-9658(2002)083[1118:DSAEEU]2.0.CO;2.","productDescription":"13 p.","startPage":"1118","endPage":"1130","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203101,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.541015625,\n              39.16414104768742\n            ],\n            [\n              -79.013671875,\n              39.26628442213066\n            ],\n            [\n              -78.0908203125,\n              39.470125122358176\n            ],\n            [\n              -77.255859375,\n              38.8225909761771\n            ],\n            [\n              -75.76171875,\n              37.055177106660814\n            ],\n            [\n              -75.05859375,\n              38.51378825951165\n            ],\n            [\n              -75.5419921875,\n              38.54816542304656\n            ],\n            [\n              -75.6298828125,\n              39.67337039176558\n            ],\n            [\n              -79.62890625,\n              39.740986355883564\n            ],\n            [\n              -79.541015625,\n              39.16414104768742\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"83","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a428","contributors":{"authors":[{"text":"Cam, E.","contributorId":12952,"corporation":false,"usgs":true,"family":"Cam","given":"E.","affiliations":[],"preferred":false,"id":340617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":340618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, J.E. 0000-0001-5478-7230","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":36885,"corporation":false,"usgs":true,"family":"Hines","given":"J.E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":340620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, J.R. 0000-0002-4557-3019","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":66197,"corporation":false,"usgs":true,"family":"Sauer","given":"J.R.","affiliations":[],"preferred":false,"id":340621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alpizar-Jara, R.","contributorId":35434,"corporation":false,"usgs":true,"family":"Alpizar-Jara","given":"R.","email":"","affiliations":[],"preferred":false,"id":340619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flather, C.H.","contributorId":73161,"corporation":false,"usgs":true,"family":"Flather","given":"C.H.","affiliations":[],"preferred":false,"id":340622,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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