{"pageNumber":"2649","pageRowStart":"66200","pageSize":"25","recordCount":184563,"records":[{"id":5224330,"text":"5224330 - 2004 - Contribution of natural history collection data to biodiversity assessment in national parks","interactions":[],"lastModifiedDate":"2021-08-06T16:05:04.706768","indexId":"5224330","displayToPublicDate":"2010-06-16T12:18:53","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of natural history collection data to biodiversity assessment in national parks","docAbstract":"<p>There has been mounting interest in the use of museum and herbaria collections to assess biodiversity; information is often difficult to locate and access, however, and few recommendations are available for effectively using natural history collections. As part of an effort to inventory vertebrates and vascular plants in U.S. national parks, we searched manually and by computer for specimens originating within or adjacent to 14 parks throughout the northeastern United States. We compared the number of specimens located to collection size to determine whether there was any effect on detection rate of specimens. We evaluated the importance of park characteristics (e.g., age since establishment, size, theme [natural vs. cultural]) for influencing the number of specimens found in a collection. We located &gt;31,000 specimens and compiled associated records (hereafter referred to as specimens) from 78 collections; &gt;9000 specimens were park-significant, originating either within park boundaries or in the local township where the park was located. We found &gt;2000 specimens by means of manual searches, which cost <span>$0.001–0.15</span> per specimen searched and <span>$0.81–151.95</span> per specimen found. Collection effort appeared relatively uniform between 1890 and 1980, with low periods corresponding to significant sociopolitical events. Detection rates for specimens were inversely related to collection size. Although specimens were most often located in collections within the region of interest, specimens can be found anywhere, particularly in large collections international in scope, suggesting that global searches will be necessary to evaluate historical biodiversity. Park characteristics indicated that more collecting effort occurred within or adjacent to larger parks established for natural resources than in smaller historical sites. Because many institutions have not yet established electronic databases for collections, manual searches can be useful for retrieving specimens. Our results show that thorough, systematic searching of natural history collections for park-significant specimens can provide a historical perspective on biodiversity for park managers.</p>","language":"English","publisher":"Wiley Online Library","doi":"10.1111/j.1523-1739.2004.00034.x-i1","usgsCitation":"O'Connell, A., Gilbert, A., and Hatfield, J., 2004, Contribution of natural history collection data to biodiversity assessment in national parks: Conservation Biology, v. 18, no. 5, p. 1254-1261, https://doi.org/10.1111/j.1523-1739.2004.00034.x-i1.","productDescription":"8 p.","startPage":"1254","endPage":"1261","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201658,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"5","noUsgsAuthors":false,"publicationDate":"2004-09-28","publicationStatus":"PW","scienceBaseUri":"4f4e4af3e4b07f02db69198a","contributors":{"authors":[{"text":"O'Connell, A.F. Jr. 0000-0001-7032-7023","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":24055,"corporation":false,"usgs":true,"family":"O'Connell","given":"A.F.","suffix":"Jr.","affiliations":[],"preferred":false,"id":341301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilbert, A.T.","contributorId":14547,"corporation":false,"usgs":true,"family":"Gilbert","given":"A.T.","email":"","affiliations":[],"preferred":false,"id":341300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatfield, Jeff S.","contributorId":41372,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff S.","affiliations":[],"preferred":false,"id":341302,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224335,"text":"5224335 - 2004 - Estimating population trends with a linear model:  Technical comments","interactions":[],"lastModifiedDate":"2016-10-27T11:49:40","indexId":"5224335","displayToPublicDate":"2010-06-16T12:18:53","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population trends with a linear model:  Technical comments","docAbstract":"Controversy has sometimes arisen over whether there is a need to accommodate the limitations of survey design in estimating population change from the count data collected in bird surveys.  Analyses of surveys such as the North American Breeding Bird Survey (BBS) can be quite complex; it is natural to ask if the complexity is necessary, or whether the statisticians have run amok.  Bart et al. (2003) propose a very simple analysis involving nothing more complicated than simple linear regression, and contrast their approach with model-based procedures.  We review the assumptions implicit to their proposed method, and document that these assumptions are unlikely to be valid for surveys such as the BBS.  One fundamental limitation of a purely design-based approach is the absence of controls for factors that influence detection of birds at survey sites.  We show that failure to model observer effects in survey data leads to substantial bias in estimation of population trends from BBS data for the 20 species that Bart et al. (2003) used as the basis of their simulations.  Finally, we note that the simulations presented in Bart et al. (2003) do not provide a useful evaluation of their proposed method, nor do they provide a valid comparison to the estimating- equations alternative they consider.","language":"English","publisher":"American Ornithological Society","doi":"10.1650/7431","usgsCitation":"Sauer, J., Link, W., and Royle, J., 2004, Estimating population trends with a linear model:  Technical comments: Condor, v. 106, no. 2, p. 435-440, https://doi.org/10.1650/7431.","productDescription":"6 p.","startPage":"435","endPage":"440","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477986,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/7431","text":"Publisher Index Page"},{"id":202043,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc8bc","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341322,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. wlink@usgs.gov","contributorId":3465,"corporation":false,"usgs":true,"family":"Link","given":"William A.","email":"wlink@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":341323,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224336,"text":"5224336 - 2004 - Reproduction in nondomestic birds: Physiology, semen collection, artificial insemination and cryopreservation","interactions":[],"lastModifiedDate":"2012-02-02T00:15:07","indexId":"5224336","displayToPublicDate":"2010-06-16T12:18:53","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":950,"text":"Avian and Poultry Biology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction in nondomestic birds: Physiology, semen collection, artificial insemination and cryopreservation","docAbstract":"Pioneering work by Quinn and Burrows in the late 1930s led to successful artificial insemination (AI) programs in the domestic poultry industry.  A variety of species specific modifications to the Quinn and Burrows massage technique made AI possible in nondomestic birds.  Massage semen collection and insemination techniques span the entire range of species from sparrows to ostriches.  Also, cooperative semen collection and electroejaculation have found limited use in some nondomestic species.  Artificial insemination produces good fertility, often exceeding fertility levels in naturally copulating populations.  However, aviculturists should explore other ways to improve fertility before resorting to AI.  Artificial insemination is labor intensive and may pose risks to nondomestic birds as well as handlers associated with capture and insemination.  Semen collection and AI makes semen cryopreservation and germ plasma preservation possible.  Yet, semen cryopreservation techniques need improvement before fertility with frozen-thawed semen will equal fertility from AI with fresh semen.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Avian and Poultry Biology Reviews","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6199_Gee.pdf","usgsCitation":"Gee, G., Bertschinger, H., Donoghue, A., Blanco, J., and Soley, J., 2004, Reproduction in nondomestic birds: Physiology, semen collection, artificial insemination and cryopreservation: Avian and Poultry Biology Reviews, v. 15, no. 2, p. 47-101.","productDescription":"47-101","startPage":"47","endPage":"101","numberOfPages":"55","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198116,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db69829f","contributors":{"authors":[{"text":"Gee, G.F.","contributorId":70335,"corporation":false,"usgs":true,"family":"Gee","given":"G.F.","email":"","affiliations":[],"preferred":false,"id":341326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertschinger, H.","contributorId":80381,"corporation":false,"usgs":true,"family":"Bertschinger","given":"H.","email":"","affiliations":[],"preferred":false,"id":341327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donoghue, A.M.","contributorId":46653,"corporation":false,"usgs":true,"family":"Donoghue","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":341325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blanco, J.","contributorId":90418,"corporation":false,"usgs":true,"family":"Blanco","given":"J.","email":"","affiliations":[],"preferred":false,"id":341328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soley, J.","contributorId":45028,"corporation":false,"usgs":true,"family":"Soley","given":"J.","email":"","affiliations":[],"preferred":false,"id":341324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224313,"text":"5224313 - 2004 - Blarina brevicauda as a biological monitor of polychlorinated biphenyls:  Evaluation of hepatic cytochrome p450 induction","interactions":[],"lastModifiedDate":"2021-08-23T15:31:35.738029","indexId":"5224313","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Blarina brevicauda</i> as a biological monitor of polychlorinated biphenyls:  Evaluation of hepatic cytochrome p450 induction","title":"Blarina brevicauda as a biological monitor of polychlorinated biphenyls:  Evaluation of hepatic cytochrome p450 induction","docAbstract":"<p>We assessed the value of short-tailed shrews (<i>Blarina brevicauda</i>) as a possible biomonitor for polychlorinated biphenyl pollution through measurement of the induction of hepatic cytochrome P450 and associated enzyme activities. First, we checked the inducibility of four monooxygenases (benzyloxyresorufin-O-dealkylase [BROD], ethoxyresorufin-O-dealkylase [EROD], methoxyresorufin-O-dealkylase [MROD], and pentoxyresorufin-O-dealkylase [PROD]) by measuring the activity of these enzymes in hepatic microsomes prepared from shrews injected with $-naphthoflavone ($NF) or phenobarbital (PB), typical inducers of cytochrome P4501A (CYP1A) and CYP2B enzyme families, respectively. Enzyme activity was induced in shrews that received $NF but not in shrews that received PB; PROD was not induced by either exposure. Later, shrews were exposed to a mixture of polychlorinated biphenyls (PCBs) (Aroclor 1242:1254, in 1:2 ratio) at 0.6, 9.6, and 150 ppm in food, for 31 d. Induction in these shrews was measured by specific enzyme activity (BROD, EROD, and MROD) in hepatic microsomes, by western blotting of solubilized microsomes against antibodies to CYP1A or CYP2B, and by duration of sodium pentobarbital-induced sleep. These three CYP enzymes were induced in shrews by PCBs at similar levels of exposure as in cotton rat (<i>Sigmodon hispidus</i>). Neither sleep time nor the amount of CYP2B family protein were affected by PCB exposure. <i>Blarina brevicauda</i> can be a useful biomonitor of PCBs that induce CYP1A, especially in habitats where they are the abundant small mammal.</p>","language":"English","publisher":"Wiley","doi":"10.1897/03-329","usgsCitation":"Russell, J., Halbrook, R., Woolf, A., French, J., and Melancon, M.J., 2004, Blarina brevicauda as a biological monitor of polychlorinated biphenyls:  Evaluation of hepatic cytochrome p450 induction: Environmental Toxicology and Chemistry, v. 23, no. 8, p. 1867-1873, https://doi.org/10.1897/03-329.","productDescription":"7 p.","startPage":"1867","endPage":"1873","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201595,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"8","noUsgsAuthors":false,"publicationDate":"2004-08-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a1be4b07f02db607830","contributors":{"authors":[{"text":"Russell, J.S.","contributorId":46658,"corporation":false,"usgs":true,"family":"Russell","given":"J.S.","email":"","affiliations":[],"preferred":false,"id":341243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halbrook, R.S.","contributorId":75664,"corporation":false,"usgs":true,"family":"Halbrook","given":"R.S.","affiliations":[],"preferred":false,"id":341244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woolf, A.","contributorId":18421,"corporation":false,"usgs":true,"family":"Woolf","given":"A.","affiliations":[],"preferred":false,"id":341241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, J.B. Jr.","contributorId":23252,"corporation":false,"usgs":true,"family":"French","given":"J.B.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":341242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melancon, M. J.","contributorId":96206,"corporation":false,"usgs":true,"family":"Melancon","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224318,"text":"5224318 - 2004 - Effects of lead-contaminated sediment and nutrition on mallard duckling brain growth and biochemistry","interactions":[],"lastModifiedDate":"2019-11-07T15:39:54","indexId":"5224318","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of lead-contaminated sediment and nutrition on mallard duckling brain growth and biochemistry","docAbstract":"<p>Day-old mallard (Anas platyryhnchos) ducklings received either a clean sediment (24%) supplemented control diet, Coeur d'Alene River Basin, Idaho (CDARB) sediment (3449 ug/g lead) supplemented diets at 12% or 24%, or a positive control diet (24% clean sediment with equivalent lead acetate to the 24% CDARB diet) for 6 weeks. The 12% CDARB diet resulted in a geometric mean concentration of 396 ppb (WW) brain lead with decreased brain protein and ATP concentrations but increased oxidized glutathione (GSSG) relative to the control diet. The 24% CDARB diet resulted in a concentration of 485 ppb brain lead with lower brain weight and ATP concentration than controls but higher concentrations of reduced glutathione (GSH) and calcium. Lead acetate accumulated twice as well as CDARB derived lead and resulted in histopathological lesions of the brain. With a combination of a suboptimal diet and 24% CDARB, brain lead concentration was higher (594 ppb) than with 24% CDARB in the standard diet, histopathological lesions became apparent and GSH was higher than suboptimal diet controls.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2004.02.002","usgsCitation":"Douglas-Stroebel, E., Hoffman, D.J., Brewer, G.L., and Sileo, L., 2004, Effects of lead-contaminated sediment and nutrition on mallard duckling brain growth and biochemistry: Environmental Pollution, v. 131, no. 2, p. 215-222, https://doi.org/10.1016/j.envpol.2004.02.002.","productDescription":"8 p.","startPage":"215","endPage":"222","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202321,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Cour d'Alene River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.9439697265625,\n              47.76517619125415\n            ],\n            [\n              -117.00439453125,\n              47.69867153529717\n            ],\n            [\n              -116.96319580078125,\n              47.55057928124212\n            ],\n            [\n              -116.9549560546875,\n              47.431803338643334\n            ],\n            [\n              -116.82037353515625,\n              47.355571314854764\n            ],\n            [\n              -116.60064697265625,\n              47.402067376409036\n            ],\n            [\n              -116.24633789062499,\n              47.46523622438362\n            ],\n            [\n              -116.21337890625,\n              47.57652571374621\n            ],\n            [\n              -116.46606445312499,\n              47.68573021131587\n            ],\n            [\n              -116.6748046875,\n              47.76148371616669\n            ],\n            [\n              -116.9439697265625,\n              47.76517619125415\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"131","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611ce6","contributors":{"authors":[{"text":"Douglas-Stroebel, E.","contributorId":27406,"corporation":false,"usgs":true,"family":"Douglas-Stroebel","given":"E.","email":"","affiliations":[],"preferred":false,"id":341256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, D. J.","contributorId":12801,"corporation":false,"usgs":true,"family":"Hoffman","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, G. L.","contributorId":76271,"corporation":false,"usgs":false,"family":"Brewer","given":"G.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":341258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sileo, L.","contributorId":46895,"corporation":false,"usgs":true,"family":"Sileo","given":"L.","email":"","affiliations":[],"preferred":false,"id":341257,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224329,"text":"5224329 - 2004 - Natural history notes: Rana spp. (multiple ranid species). Hibernacula","interactions":[],"lastModifiedDate":"2012-02-02T00:15:07","indexId":"5224329","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Natural history notes: Rana spp. (multiple ranid species). Hibernacula","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Review","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6192_Grant.pdf","usgsCitation":"Grant, E., Chellman, I., Nanjappa, P., and Jung, R., 2004, Natural history notes: Rana spp. (multiple ranid species). Hibernacula: Herpetological Review, v. 35, no. 3, p. 262-263.","productDescription":"262-263","startPage":"262","endPage":"263","numberOfPages":"2","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198115,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db6981d8","contributors":{"authors":[{"text":"Grant, E.H.C. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":87242,"corporation":false,"usgs":true,"family":"Grant","given":"E.H.C.","affiliations":[],"preferred":false,"id":341298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chellman, I.","contributorId":59534,"corporation":false,"usgs":true,"family":"Chellman","given":"I.","email":"","affiliations":[],"preferred":false,"id":341296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nanjappa, P.","contributorId":89247,"corporation":false,"usgs":true,"family":"Nanjappa","given":"P.","affiliations":[],"preferred":false,"id":341299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jung, R.E.","contributorId":66213,"corporation":false,"usgs":true,"family":"Jung","given":"R.E.","email":"","affiliations":[],"preferred":false,"id":341297,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224326,"text":"5224326 - 2004 - History and current status of the Bat Banding Office, National Museum of Natural History","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"5224326","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":973,"text":"Bat Research News","active":true,"publicationSubtype":{"id":10}},"title":"History and current status of the Bat Banding Office, National Museum of Natural History","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bat Research News","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6184_Peurach.pdf","usgsCitation":"Peurach, S., 2004, History and current status of the Bat Banding Office, National Museum of Natural History: Bat Research News, v. 45, no. 2, p. 35-41.","productDescription":"35-41","startPage":"35","endPage":"41","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":197944,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c0a0","contributors":{"authors":[{"text":"Peurach, S.C.","contributorId":20034,"corporation":false,"usgs":true,"family":"Peurach","given":"S.C.","email":"","affiliations":[],"preferred":false,"id":341292,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224328,"text":"5224328 - 2004 - The importance of environmental variability and management control error to optimal harvest policies","interactions":[],"lastModifiedDate":"2021-10-04T17:59:50.866036","indexId":"5224328","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","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":"The importance of environmental variability and management control error to optimal harvest policies","docAbstract":"<p>State-dependent strategies (SDSs) are the most general form of harvest policy because they allow the harvest rate to depend, without constraint, on the state of the system. State-dependent strategies that provide an optimal harvest rate for any system state can be calculated, and stochasticity can be appropriately accommodated in this optimization. Stochasticity poses 2 challenges to harvest policies: (1) the population will never be at the equilibrium state; and (2) stochasticity induces uncertainty about future states. We investigated the effects of 2 types of stochasticity, environmental variability and management control error, on SDS harvest policies for a white-tailed deer (<i>Odocoileus virginianus</i>) model, and contrasted these with a harvest policy based on maximum sustainable yield (MSY). Increasing stochasticity resulted in more conservative SDSs; that is, higher population densities were required to support the same harvest rate, but these effects were generally small. As stochastic effects increased, SDSs performed much better than MSY. Both deterministic and stochastic SDSs maintained maximum mean annual harvest yield (AHY) and optimal equilibrium population size (Neq) in a stochastic environment, whereas an MSY policy could not. We suggest 3 rules of thumb for harvest management of long-lived vertebrates in stochastic systems: (1) an SDS is advantageous over an MSY policy, (2) using an SDS rather than an MSY is more important than whether a deterministic or stochastic SDS is used, and (3) for SDSs, rankings of the variability in management outcomes (e.g., harvest yield) resulting from parameter stochasticity can be predicted by rankings of the deterministic elasticities.</p>","language":"English","publisher":"BioOne Complete","doi":"10.2193/0022-541X(2004)068[0585:TIOEVA]2.0.CO;2","usgsCitation":"Hunter, C., and Runge, M., 2004, The importance of environmental variability and management control error to optimal harvest policies: Journal of Wildlife Management, v. 68, no. 3, p. 585-594, https://doi.org/10.2193/0022-541X(2004)068[0585:TIOEVA]2.0.CO;2.","productDescription":"10 p.","startPage":"585","endPage":"594","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201657,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a85e4b07f02db64d618","contributors":{"authors":[{"text":"Hunter, C.M.","contributorId":19670,"corporation":false,"usgs":true,"family":"Hunter","given":"C.M.","email":"","affiliations":[],"preferred":false,"id":341294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341295,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224325,"text":"5224325 - 2004 - Estimation of tiger densities in the tropical dry forests of Panna, Central India, using photographic capture-recapture sampling","interactions":[],"lastModifiedDate":"2016-10-27T12:12:48","indexId":"5224325","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of tiger densities in the tropical dry forests of Panna, Central India, using photographic capture-recapture sampling","docAbstract":"<p><span>Tropical dry-deciduous forests comprise more than 45% of the tiger (</span><i>Panthera tigris</i><span>) habitat in India. However, in the absence of rigorously derived estimates of ecological densities of tigers in dry forests, critical baseline data for managing tiger populations are lacking. In this study tiger densities were estimated using photographic capture–recapture sampling in the dry forests of Panna Tiger Reserve in Central India. Over a 45-day survey period, 60 camera trap sites were sampled in a well-protected part of the 542-km</span><sup>2</sup><span> reserve during 2002. A total sampling effort of 914 camera-trap-days yielded photo-captures of 11 individual tigers over 15 sampling occasions that effectively covered a 418-km</span><sup>2</sup><span> area. The closed capture–recapture model M</span><sub>h</sub><span>, which incorporates individual heterogeneity in capture probabilities, fitted these photographic capture history data well. The estimated capture probability/sample, </span><i>p̂</i><span>= 0.04, resulted in an estimated tiger population size and standard error (</span><i>&amp;#x004e;̂</i><span>(</span><i>SÊ&amp;#x004e;̂</i><span>)) of 29 (9.65), and a density (</span><i>D̂</i><span>(</span><i>SÊD̂</i><span>)) of 6.94 (3.23) tigers/100 km</span><sup>2</sup><span>. The estimated tiger density matched predictions based on prey abundance. Our results suggest that, if managed appropriately, the available dry forest habitat in India has the potential to support a population size of about 9000 wild tigers.</span></p>","language":"English","publisher":"Wiley","doi":"10.1017/S1367943004001477","usgsCitation":"Karanth, K., Chundawat, R.S., Nichols, J., and Kumar, N.S., 2004, Estimation of tiger densities in the tropical dry forests of Panna, Central India, using photographic capture-recapture sampling: Animal Conservation, v. 7, no. 3, p. 285-290, https://doi.org/10.1017/S1367943004001477.","productDescription":"6 p.","startPage":"285","endPage":"290","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":203050,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-02-28","publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb20b","contributors":{"authors":[{"text":"Karanth, K.Ullas","contributorId":112954,"corporation":false,"usgs":true,"family":"Karanth","given":"K.Ullas","email":"","affiliations":[],"preferred":false,"id":341290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chundawat, Raghunandan S.","contributorId":81607,"corporation":false,"usgs":true,"family":"Chundawat","given":"Raghunandan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":341291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. jnichols@usgs.gov","contributorId":139082,"corporation":false,"usgs":true,"family":"Nichols","given":"James D.","email":"jnichols@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kumar, N. Samba","contributorId":52701,"corporation":false,"usgs":true,"family":"Kumar","given":"N.","email":"","middleInitial":"Samba","affiliations":[],"preferred":false,"id":341289,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224322,"text":"5224322 - 2004 - Capture-recapture analysis for estimating manatee reproductive rates","interactions":[],"lastModifiedDate":"2015-12-16T08:26:14","indexId":"5224322","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Capture-recapture analysis for estimating manatee reproductive rates","docAbstract":"<p>Modeling the life history of the endangered Florida manatee (Trichechus manatus latirostris) is an important step toward understanding its population dynamics and predicting its response to management actions. We developed a multi-state mark-resighting model for data collected under Pollock's robust design. This model estimates breeding probability conditional on a female's breeding state in the previous year; assumes sighting probability depends on breeding state; and corrects for misclassification of a cow with first-year calf, by estimating conditional sighting probability for the calf. The model is also appropriate for estimating survival and unconditional breeding probabilities when the study area is closed to temporary emigration across years. We applied this model to photo-identification data for the Northwest and Atlantic Coast populations of manatees, for years 1982?2000. With rare exceptions, manatees do not reproduce in two consecutive years. For those without a first-year calf in the previous year, the best-fitting model included constant probabilities of producing a calf for the Northwest (0.43, SE = 0.057) and Atlantic (0.38, SE = 0.045) populations. The approach we present to adjust for misclassification of breeding state could be applicable to a large number of marine mammal populations.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1748-7692.2004.tb01170.x","usgsCitation":"Kendall, W., Langtimm, C., Beck, C., and Runge, M., 2004, Capture-recapture analysis for estimating manatee reproductive rates: Marine Mammal Science, v. 20, no. 3, p. 424-437, https://doi.org/10.1111/j.1748-7692.2004.tb01170.x.","productDescription":"14 p.","startPage":"424","endPage":"437","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198244,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-08-26","publicationStatus":"PW","scienceBaseUri":"4f4e49fde4b07f02db5f5fab","contributors":{"authors":[{"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":341272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, C.A. 0000-0002-5388-5418","orcid":"https://orcid.org/0000-0002-5388-5418","contributorId":78674,"corporation":false,"usgs":true,"family":"Beck","given":"C.A.","affiliations":[],"preferred":false,"id":341275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":341273,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224321,"text":"5224321 - 2004 - A stage-based model of manatee population dynamics","interactions":[],"lastModifiedDate":"2015-12-16T09:02:47","indexId":"5224321","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"A stage-based model of manatee population dynamics","docAbstract":"<p>A stage-structured population model for the Florida manatee (Trichechus manatus latirostris) was developed that explicitly incorporates uncertainty in parameter estimates. The growth rates calculated with this model reflect the status of the regional populations over the most recent 10-yr period. The Northwest and Upper St. Johns River regions have growth rates (8) of 1.037 (95% interval, 1.016?1.056) and 1.062 (1.037?1.081), respectively. The Southwest region has a growth rate of 0.989 (0.946?1.024), suggesting this population has been declining at about 1.1% per year. The estimated growth rate in the Atlantic region is 1.010 (0.988?1.029), but there is some uncertainty about whether adult survival rates have been constant over the last 10 yr; using the mean survival rates from the most recent 5-yr period, the estimated growth rate in this region is 0.970 (0.938?0.998). Elasticity analysis indicates that the most effective management actions should seek to increase adult survival rates. Decomposition of the uncertainty in the growth rates indicates that uncertainty about population status can best be reduced through increased monitoring of adult survival rate.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1748-7692.2004.tb01167.x","usgsCitation":"Runge, M., Langtimm, C., and Kendall, W., 2004, A stage-based model of manatee population dynamics: Marine Mammal Science, v. 20, no. 3, p. 361-385, https://doi.org/10.1111/j.1748-7692.2004.tb01167.x.","productDescription":"25 p.","startPage":"361","endPage":"385","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477988,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1748-7692.2004.tb01167.x","text":"Publisher Index Page"},{"id":202322,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2006-08-26","publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a6319","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":341270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":341269,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224317,"text":"5224317 - 2004 - Sex ratio estimation and survival analysis for Orthetrum coerulescens (Odonata, Libellulidae)","interactions":[],"lastModifiedDate":"2021-07-21T16:59:07.527578","indexId":"5224317","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sex ratio estimation and survival analysis for <i>Orthetrum coerulescens</i> (Odonata, Libellulidae)","title":"Sex ratio estimation and survival analysis for Orthetrum coerulescens (Odonata, Libellulidae)","docAbstract":"<p>There is controversy over whether uneven sex ratios observed in mature dragonfly populations are a mere artifact resulting from the higher observability of males. Previous studies have at best made indirect inference about sex ratios by analysis of survival or recapture rates. Here, we obtain direct estimates of sex ratio from capture-recapture data based on the Cormack-Jolly-Seber model. We studied <i>Orthetrum coerulescens</i> (Fabricius, 1798) at three sites in the Swiss Jura Mountains over an entire activity period. Recapture rates per 5-day interval were 3.5 times greater for males (0.67, SE 0.02) than for females (0.19, SE 0.02). At two sites, recapture rate increased over the season for males and was constant for females, and at one site it decreased with precipitation for both sexes. In addition, recapture rate was higher with higher temperature for males only. We found no evidence for higher male survival rates in any population. Survival per 5-day interval for both sexes was estimated to be 0.77 (<span>95% CI 0.75–0.79</span>) without significant site or time-specific variation. There were clear effects of temperature (positive) and precipitation (negative) on survival rate at two sites. Direct estimates of sex ratios were not significantly different from 1 for any time interval. Hence, the observed male-biased sex ratio in adult <i>O. coerulescens</i> was an artifact resulting from the better observability of males. The method presented in this paper is applicable to sex ratio estimation in any kind of animal.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/z04-004","usgsCitation":"Kery, M., and Juillerat, L., 2004, Sex ratio estimation and survival analysis for Orthetrum coerulescens (Odonata, Libellulidae): Canadian Journal of Zoology, v. 82, no. 3, p. 399-406, https://doi.org/10.1139/z04-004.","productDescription":"8","startPage":"399","endPage":"406","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201739,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","otherGeospatial":"Jura Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              6.921386718750007,\n              47.502358951968574\n            ],\n            [\n              6.547851562500008,\n              47.100044694025215\n            ],\n            [\n              5.932617187500008,\n              46.32417161725691\n            ],\n            [\n              5.888671875000007,\n              46.14939437647686\n            ],\n            [\n              6.108398437500008,\n              46.08085173686784\n            ],\n            [\n              6.679687500000008,\n              46.33175800051563\n            ],\n            [\n              6.844482421875007,\n              46.057985244793024\n            ],\n            [\n              7.261962890625007,\n              45.82114340079471\n            ],\n            [\n              7.965087890625,\n              45.92822950933618\n            ],\n            [\n              8.426513671875,\n              46.17983040759436\n            ],\n            [\n              8.931884765625,\n              45.882360730184025\n            ],\n            [\n              9.437255859375,\n              46.21785176740299\n            ],\n            [\n              10.030517578125,\n              46.18743678432541\n            ],\n            [\n              10.6787109375,\n              46.53619267489863\n            ],\n            [\n              10.48095703125,\n              46.98025235521883\n            ],\n            [\n              9.876708984375,\n              47.12995075666307\n            ],\n            [\n              9.6240234375,\n              47.52461999690651\n            ],\n            [\n              8.81103515625,\n              47.73193447949174\n            ],\n            [\n              7.415771484375003,\n              47.65058757118736\n            ],\n            [\n              6.921386718750007,\n              47.502358951968574\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"82","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f4b2e","contributors":{"authors":[{"text":"Kery, M.","contributorId":46637,"corporation":false,"usgs":true,"family":"Kery","given":"M.","affiliations":[],"preferred":false,"id":341254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Juillerat, L.","contributorId":45426,"corporation":false,"usgs":true,"family":"Juillerat","given":"L.","email":"","affiliations":[],"preferred":false,"id":341253,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224319,"text":"5224319 - 2004 - Forty-fifth supplement to the American Ornithologists' Union Check-list of North American Birds","interactions":[],"lastModifiedDate":"2020-09-01T21:15:03.108506","indexId":"5224319","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Forty-fifth supplement to the American Ornithologists' Union <i>Check-list of North American Birds</i>","title":"Forty-fifth supplement to the American Ornithologists' Union Check-list of North American Birds","docAbstract":"<p><span>This is the fourth Supplement since publication of the 7</span><sup>th</sup><span> edition of the </span><i>Check-list of North American Birds</i><span> (American Ornithologists' Union [AOU] 1998). It summarizes decisions made by the AOU's Committee on Classification and Nomenclature between 1 January 2003 and 31 December 2003. </span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1093/auk/121.3.985","usgsCitation":"Banks, R., Cicero, C., Dunn, J., Kratter, A., Rasmussen, P., Remsen, J., Rising, J., and Stotz, D., 2004, Forty-fifth supplement to the American Ornithologists' Union Check-list of North American Birds: The Auk, v. 121, no. 3, p. 985-995, https://doi.org/10.1093/auk/121.3.985.","productDescription":"11 p.","startPage":"985","endPage":"995","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477990,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/auk/121.3.985","text":"Publisher Index Page"},{"id":198242,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48c5e4b07f02db53f9a8","contributors":{"authors":[{"text":"Banks, R.C.","contributorId":20440,"corporation":false,"usgs":true,"family":"Banks","given":"R.C.","affiliations":[],"preferred":false,"id":341261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cicero, C.","contributorId":10508,"corporation":false,"usgs":true,"family":"Cicero","given":"C.","email":"","affiliations":[],"preferred":false,"id":341260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, J.L.","contributorId":7388,"corporation":false,"usgs":true,"family":"Dunn","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":341259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kratter, A.W.","contributorId":45023,"corporation":false,"usgs":true,"family":"Kratter","given":"A.W.","affiliations":[],"preferred":false,"id":341264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rasmussen, P.C.","contributorId":80777,"corporation":false,"usgs":true,"family":"Rasmussen","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":341265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Remsen, J.V. Jr.","contributorId":82258,"corporation":false,"usgs":true,"family":"Remsen","given":"J.V.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":341266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rising, J.D.","contributorId":35415,"corporation":false,"usgs":true,"family":"Rising","given":"J.D.","affiliations":[],"preferred":false,"id":341263,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stotz, D.F.","contributorId":30710,"corporation":false,"usgs":true,"family":"Stotz","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":341262,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":5224320,"text":"5224320 - 2004 - A specimen of the Varied Thrush from Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:15:05","indexId":"5224320","displayToPublicDate":"2010-06-16T12:18:52","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1668,"text":"Florida Field Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"A specimen of the Varied Thrush from Florida","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Florida Field Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6173_Woolfenden.pdf","usgsCitation":"Woolfenden, G., and Banks, R., 2004, A specimen of the Varied Thrush from Florida: Florida Field Naturalist, v. 32, no. 2, p. 48-50.","productDescription":"48-50","startPage":"48","endPage":"50","numberOfPages":"3","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":198243,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a636b","contributors":{"authors":[{"text":"Woolfenden, G.E.","contributorId":105404,"corporation":false,"usgs":true,"family":"Woolfenden","given":"G.E.","email":"","affiliations":[],"preferred":false,"id":341268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banks, R.C.","contributorId":20440,"corporation":false,"usgs":true,"family":"Banks","given":"R.C.","affiliations":[],"preferred":false,"id":341267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224309,"text":"5224309 - 2004 - Passive tick surveillance, dog seropositivity, and incidence of human Lyme disease","interactions":[],"lastModifiedDate":"2016-12-07T14:42:58","indexId":"5224309","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Passive tick surveillance, dog seropositivity, and incidence of human Lyme disease","docAbstract":"<p class=\"p1\"><span class=\"s1\">Data on nymphal <i>Ixodes scapularis</i> ticks submitted by the public to the University of Rhode Island Tick Research Laboratory for testing from 1991 to 2000 were compared with human case data from the Rhode Island Department of Health to determine the efficacy of passive tick surveillance at assessing human risk of Lyme disease. Numbers of ticks submitted were highly correlated with human cases by county (<i>r</i> = 0.998, <i>n</i> = 5 counties) and by town (<i>r</i> = 0.916, <i>n</i> = 37 towns), as were the numbers of positive ticks submitted (<i>r</i> = 0.989 by county, <i>r</i> = 0.787 by town). Human cases were correlated with ticks submitted by town each year, and with positive ticks in all but 2 years. Thus, passive tick surveillance effectively assessed geographical risk of human Lyme disease. In contrast, tick submissions through time were not correlated with human cases from year to year. Dog seropositivity was significantly correlated with human cases by county in both years tested, but by town in only one of two years. Numbers of ticks submitted were correlated with dog seropositivity by county but not by town, apparently because of high variability among towns with small sample sizes. Our results suggest that passive tick surveillance, using ticks submitted by the public for Lyme spirochete testing, can be used to assess the geographical distribution of Lyme disease risk, but cannot reliably predict Lyme incidence from year to year.</span></p>","language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/1530366041210710","usgsCitation":"Johnson, J.L., Ginsberg, H.S., Zhioua, E., Whitworth, U.G., Markowski, D., Hyland, K.E., and Hu, R., 2004, Passive tick surveillance, dog seropositivity, and incidence of human Lyme disease: Vector-Borne and Zoonotic Diseases, v. 4, no. 2, p. 137-142, https://doi.org/10.1089/1530366041210710.","productDescription":"6 p.","startPage":"137","endPage":"142","numberOfPages":"6","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":487140,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/167","text":"External Repository"},{"id":201509,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4994e4b07f02db5b5f93","contributors":{"authors":[{"text":"Johnson, Jaree L.","contributorId":177249,"corporation":false,"usgs":false,"family":"Johnson","given":"Jaree","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":341231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. hginsberg@usgs.gov","contributorId":140901,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","email":"hginsberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhioua, Elyes","contributorId":177231,"corporation":false,"usgs":true,"family":"Zhioua","given":"Elyes","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitworth, Ulysses G.","contributorId":94415,"corporation":false,"usgs":true,"family":"Whitworth","given":"Ulysses","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":341230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Markowski, Daniel","contributorId":177250,"corporation":false,"usgs":false,"family":"Markowski","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":341229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hyland, Kerwin E.","contributorId":177251,"corporation":false,"usgs":false,"family":"Hyland","given":"Kerwin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":341228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hu, Renjie","contributorId":177252,"corporation":false,"usgs":false,"family":"Hu","given":"Renjie","email":"","affiliations":[],"preferred":false,"id":341227,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":5224276,"text":"5224276 - 2004 - Role of manganese oxides in the exposure of mute swans (Cygnus olor) to Pb and other elements in the Chesapeake Bay, USA","interactions":[],"lastModifiedDate":"2021-08-23T15:11:58.959882","indexId":"5224276","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Role of manganese oxides in the exposure of mute swans (<i>Cygnus olor</i>) to Pb and other elements in the Chesapeake Bay, USA","title":"Role of manganese oxides in the exposure of mute swans (Cygnus olor) to Pb and other elements in the Chesapeake Bay, USA","docAbstract":"<p><span>The aims of this study are to estimate exposure of waterfowl</span><span>&nbsp;to elements in contaminated sediments in the Chesapeake Bay and to consider the potential role of Mn in influencing bioavailability and exposure. Metal concentrations were measured in livers and digesta taken from mute swans living on the Aberdeen Proving Ground, whose sediment had elevated concentrations of Cu, S, Se, Zn, As, Co, Cr, Hg and Pb. Concentrations of only the first four of these elements were elevated in swan digesta. None of the concentrations detected in the digesta or livers of the swans was considered toxic, although the concentrations of Cu and Se were high compared to concentrations of these elements reported in other waterfowl. Lead was found to be scavenged by Mn and Fe oxides from the water and deposited on the surface of vegetation at a reference site. Under some environmental chemical conditions, this is an important route of exposure to Pb in waterfowl, not previously recognized.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/J.ENVPOL.2003.10.026","usgsCitation":"Beyer, W., and Day, D., 2004, Role of manganese oxides in the exposure of mute swans (Cygnus olor) to Pb and other elements in the Chesapeake Bay, USA: Environmental Pollution, v. 129, no. 2, p. 229-235, https://doi.org/10.1016/J.ENVPOL.2003.10.026.","productDescription":"7 p.","startPage":"229","endPage":"235","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":388355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17406,"rank":0,"type":{"id":11,"text":"Document"},"url":"https://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VB5-4B54091-3&_user=696292&_coverDate=05%2F31%2F2004&_rdoc=7&_fmt=summary&_orig=browse&_srch=doc-info(%23toc%235917%232004%23998709997%23482252%23FLA%23display%23Volume)&_cdi=5917&_sort=d&_docanchor=&_ct=18&_acct=C000038819&_version=1&_urlVersion=0&_userid=696292&md5=e0aabdb41477263d743b53be101866b9","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryland","otherGeospatial":"Aberdeen Proving Ground, Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.278076171875,\n              39.32686172585973\n            ],\n            [\n              -76.15447998046875,\n              39.32686172585973\n            ],\n            [\n              -76.15447998046875,\n              39.436192999314095\n            ],\n            [\n              -76.278076171875,\n              39.436192999314095\n            ],\n            [\n              -76.278076171875,\n              39.32686172585973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"129","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af3e4b07f02db691ba9","contributors":{"authors":[{"text":"Beyer, W. N. 0000-0002-8911-9141","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":55379,"corporation":false,"usgs":true,"family":"Beyer","given":"W. N.","affiliations":[],"preferred":false,"id":341125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, D. 0000-0001-9070-7170","orcid":"https://orcid.org/0000-0001-9070-7170","contributorId":20298,"corporation":false,"usgs":true,"family":"Day","given":"D.","affiliations":[],"preferred":false,"id":341124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224306,"text":"5224306 - 2004 - Comparative dynamics of small mammal populations in treefall gaps and surrounding understorey within Amazonian rainforest","interactions":[],"lastModifiedDate":"2021-10-18T15:48:54.454572","indexId":"5224306","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Comparative dynamics of small mammal populations in treefall gaps and surrounding understorey within Amazonian rainforest","docAbstract":"<p>Variation in food resource availability can have profound effects on habitat selection and dynamics of populations. Previous studies reported higher food resource availability and fruit removal in treefall gaps than in the understorey. Therefore, gaps have been considered 'keystone habitat' for Neotropical frugivore birds. Here we test if this prediction would also hold for terrestrial small mammals. In the Amazon, we quantified food resource availability in eleven treefall gaps and paired understorey habitats and used feeding experiments to test if two common terrestrial rodents (<i>Oryzomys megacephalus</i> and <i>Proechimys</i> spp.) would perceive differences between habitats. We live-trapped small mammals in eleven gaps and understorey sites for two years, and compared abundance, fitness components (survival and per capita recruitment) and dispersal of these two rodent species across gaps and understorey and seasons (rainy and dry). Our data indicated no differences in resource availability and consumption rate between habitats. Treefall gaps may represent a sink habitat for <i>Oryzomys</i> where individuals had lower fitness, apparently because of habitat-specific ant predation on early life stages, than in the understorey, the source habitat. Conversely, gaps may be source habitat for <i>Proechimys</i> where individuals had higher fitness, than in the understorey, the sink habitat. Our results suggest the presence of source-sink dynamics in a tropical gap-understorey landscape, where two rodent species perceive habitats differently. This may be a mechanism for their coexistence in a heterogeneous and species-diverse system.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.0030-1299.2004.12864.x","usgsCitation":"Beck, H., Gaines, M., Hines, J., and Nichols, J., 2004, Comparative dynamics of small mammal populations in treefall gaps and surrounding understorey within Amazonian rainforest: Oikos, v. 106, no. 1, p. 27-38, https://doi.org/10.1111/j.0030-1299.2004.12864.x.","productDescription":"12 p.","startPage":"27","endPage":"38","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477993,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.0030-1299.2004.12864.x","text":"Publisher Index Page"},{"id":199516,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"World Biosphere Park Manu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.82617187499999,\n              -4.653079918274076\n            ],\n            [\n              -79.453125,\n              -8.320212289522969\n            ],\n            [\n              -77.255859375,\n              -13.325484885597936\n            ],\n            [\n              -74.267578125,\n              -16.214674588248542\n            ],\n            [\n              -69.87304687499997,\n              -18.396230138028837\n            ],\n            [\n              -68.90624999999997,\n              -16.3833911236084\n            ],\n            [\n              -68.99414062499999,\n              -14.944784875088386\n            ],\n            [\n              -68.81835937499999,\n              -12.811801316582631\n            ],\n            [\n              -69.52148437499999,\n              -11.092165893502013\n            ],\n            [\n              -70.400390625,\n              -9.535748998133615\n            ],\n            [\n              -71.455078125,\n              -9.535748998133615\n            ],\n            [\n              -72.77343749999997,\n              -9.102096738726468\n            ],\n            [\n              -73.47656249999999,\n              -7.188100871179045\n            ],\n            [\n              -72.42187499999999,\n              -5.5285105256928135\n            ],\n            [\n              -71.015625,\n              -5.003394345022175\n            ],\n            [\n              -70.04882812499997,\n              -3.6888551431470478\n            ],\n            [\n              -69.60937499999999,\n              -2.2845506602369827\n            ],\n            [\n              -73.12499999999999,\n              -1.406108835435185\n            ],\n            [\n              -75.32226562499999,\n              -2.5444437451708134e-14\n            ],\n            [\n              -75.93749999999999,\n              -1.3182430568620263\n            ],\n            [\n              -77.16796875,\n              -2.3723687086440757\n            ],\n            [\n              -79.01367187499997,\n              -4.039617826768462\n            ],\n            [\n              -80.59570312499999,\n              -3.162455530237873\n            ],\n            [\n              -81.82617187499999,\n              -4.653079918274076\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2004-05-17","publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae56d","contributors":{"authors":[{"text":"Beck, H.","contributorId":27587,"corporation":false,"usgs":true,"family":"Beck","given":"H.","email":"","affiliations":[],"preferred":false,"id":341210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaines, M.S.","contributorId":70887,"corporation":false,"usgs":true,"family":"Gaines","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":341212,"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":341211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":341209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224623,"text":"5224623 - 2004 - Detecting warning signs of trouble within population fluctuations: using capture-recapture modeling to uncover changes in population dynamics leading to declines","interactions":[],"lastModifiedDate":"2012-02-02T00:15:32","indexId":"5224623","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":803,"text":"Annual Meeting of the Association of Field Ornithologists and the Wilson Ornithological Society Program and Abstracts","active":true,"publicationSubtype":{"id":10}},"title":"Detecting warning signs of trouble within population fluctuations: using capture-recapture modeling to uncover changes in population dynamics leading to declines","docAbstract":"An intensive mark-recapture/resighting program has been carried out on the Roseate Terns nesting at Falkner Island, Connecticut, since the late 1980s as part of a regional study of the metapopulation dynamics and ecology of the endangered Northwest Atlantic breeding population of this species.  Substantial losses of tern eggs and chicks to predation at this colony site began in 1996 when at least five Black-crowned Night-Herons started nocturnal raids.  This depredation has been a major factor in the reduction of productivity from an average of about 1.0 chicks/pair for the 10 years before night-heron predation began to as low as about 0.2 chicks/pair in 2002.  Recent capture-recapture modelling analyses have detected other important impacts on the population dynamics of the Roseate Terns at this site including a reduction by about half in the 'development-of-residency' rates of first-time breeders, and a substantial decline in the local 'survival-and-fidelity' rates of experienced breeders believed due mostly to increased immigration rates to other colony sites.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Annual Meeting of the Association of Field Ornithologists and the Wilson Ornithological Society Program and Abstracts","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"Meeting held April 22-24, 2004 at the Cornell Laboratory of Ornithology, Ithaca, NY","usgsCitation":"Spendelow, J., Nichols, J., Kendall, W., Hines, J., Hatfield, J., and Nisbet, I., 2004, Detecting warning signs of trouble within population fluctuations: using capture-recapture modeling to uncover changes in population dynamics leading to declines: Annual Meeting of the Association of Field Ornithologists and the Wilson Ornithological Society Program and Abstracts.","productDescription":"P42","startPage":"P42","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201994,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa8e4b07f02db667ae4","contributors":{"authors":[{"text":"Spendelow, J. A. 0000-0001-8167-0898","orcid":"https://orcid.org/0000-0001-8167-0898","contributorId":72478,"corporation":false,"usgs":true,"family":"Spendelow","given":"J. A.","affiliations":[],"preferred":false,"id":342131,"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":342126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":342127,"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":342128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatfield, Jeff S.","contributorId":41372,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff S.","affiliations":[],"preferred":false,"id":342129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nisbet, I.C.T.","contributorId":54942,"corporation":false,"usgs":true,"family":"Nisbet","given":"I.C.T.","email":"","affiliations":[],"preferred":false,"id":342130,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224311,"text":"5224311 - 2004 - Sediment-quality assessment of the Lower Oconee River","interactions":[],"lastModifiedDate":"2012-02-02T00:15:30","indexId":"5224311","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Sediment-quality assessment of the Lower Oconee River","docAbstract":"Sediment quality was assessed at multiple sites in the lower Oconee River, GA to identify contaminants potentially affecting the survival of an endemic ?At-Risk? species of fish, the robust redhorse (Moxostoma robustum).  Five major tributaries that drain urban and agricultural watersheds enter this stretch of river and several carry permitted municipal and industrial effluents containing Cd, Cu, and Zn.  Sediments for chemical analyses and toxicity tests with Hyalella azteca (Amphipoda) were collected at 12 locations that included sites above and below the major tributaries. Compared to national data bases and to the nearby Apalachicola-Chattahoochee-Flint watershed, sediments from the Oconee River had elevated concentrations of Cr, Cu, Hg and Zn.  Zinc concentrations showed a marked increase in sediment downstream of the confluence of Buffalo Creek demonstrating contributions from permitted municipal and industrial effluents discharged to that tributary. When exposed to these sediments, growth of H. azteca was significantly reduced.  Amphipod growth was also reduced when exposed to sediments collected from another site due to toxicity from Cr. Sediments in the lower Oconee River appear to be impaired due to metal contamination and could pose a threat to organisms, such as the robust redhorse, that are closely associated with this matrix during their life cycle.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","collaboration":"6162_Lasier.pdf","usgsCitation":"Lasier, P., Winger, P.V., Shelton, J., and Bogenrieder, K.J., 2004, Sediment-quality assessment of the Lower Oconee River: Southeastern Naturalist, v. 3, no. 1, p. 139-154.","productDescription":"139-154","startPage":"139","endPage":"154","numberOfPages":"16","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":17411,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://www.bioone.org/perlserv/?request=get-abstract&doi=10.1656%2F1528-7092%282004%29003%5B0139%3ASAOTLO%5D2.0.CO%3B2","linkFileType":{"id":5,"text":"html"}},{"id":201782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb25a","contributors":{"authors":[{"text":"Lasier, P. J.","contributorId":79201,"corporation":false,"usgs":true,"family":"Lasier","given":"P. J.","affiliations":[],"preferred":false,"id":341235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winger, P. V.","contributorId":43075,"corporation":false,"usgs":true,"family":"Winger","given":"P.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":341234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shelton, J.L. Jr.","contributorId":90850,"corporation":false,"usgs":true,"family":"Shelton","given":"J.L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":341236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bogenrieder, K. J.","contributorId":22880,"corporation":false,"usgs":true,"family":"Bogenrieder","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341233,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224015,"text":"5224015 - 2004 - Mammalian sensitivity to elemental gold (Au?)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:39","indexId":"5224015","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1024,"text":"Biological Trace Element Research","active":true,"publicationSubtype":{"id":10}},"title":"Mammalian sensitivity to elemental gold (Au?)","docAbstract":"There is increasing documentation of allergic contact dermatitis and other effects from gold jewelry, gold dental restorations, and gold implants. These effects were especially pronounced among females wearing body-piercing gold objects.  One estimate of the prevalence of gold allergy worldwide is 13%, as judged by patch tests with monovalent organogold salts.  Eczema of the head and neck was the most common response of individuals hypersensitive to gold, and sensitivity can last for at least several years. Ingestion of beverages containing flake gold can result in allergic-type reactions similar to those seen in gold-allergic individuals exposed to gold through dermal contact and other routes.  Studies with small laboratory mammals and injected doses of colloidal gold showed increased body temperatures, accumulations in reticular cells, and dose enhancement in tumor therapy; gold implants were associated with tissue injuries.  It is proposed that Au? toxicity to mammals is associated, in part, with formation of the more reactive Au+ and Au3+ species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biological Trace Element Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.1385/BTER:100:1:001","collaboration":"6164_Eisler.pdf","usgsCitation":"Eisler, R., 2004, Mammalian sensitivity to elemental gold (Au?): Biological Trace Element Research, v. 100, no. 1, p. 1-18, https://doi.org/10.1385/BTER:100:1:001.","productDescription":"1-18","startPage":"1","endPage":"18","numberOfPages":"18","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":200378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17413,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1385/BTER:100:1:001","linkFileType":{"id":5,"text":"html"}}],"volume":"100","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a81e4b07f02db64a04f","contributors":{"authors":[{"text":"Eisler, R.","contributorId":51869,"corporation":false,"usgs":true,"family":"Eisler","given":"R.","affiliations":[],"preferred":false,"id":340247,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224312,"text":"5224312 - 2004 - Tumor prevalence and biomarkers of exposure in brown bullhead (Ameiurus nebulosus) from Back River, Furnace Creek, and Tuckahoe River, Maryland","interactions":[],"lastModifiedDate":"2021-11-24T18:20:26.503054","indexId":"5224312","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","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}},"displayTitle":"Tumor prevalence and biomarkers of exposure in brown bullhead (<i>Ameiurus nebulosus</i>) from Back River, Furnace Creek, and Tuckahoe River, Maryland","title":"Tumor prevalence and biomarkers of exposure in brown bullhead (Ameiurus nebulosus) from Back River, Furnace Creek, and Tuckahoe River, Maryland","docAbstract":"<p><span>Brown bullheads (</span><i>Ameiurus nebulosus</i><span>) were collected from 2 locations near Baltimore, Maryland, Back River and Furnace Creek, and 1 (reference) location, Tuckahoe River, to compare the prevalence of tumors (liver and skin) and visible skin lesions (fin erosion and abnormal barbels). Cytochrome P450 activity measured as ethoxyresorufin-</span><i>O</i><span>-deethylase, biliary PAH-like fluorescent metabolites, and fillet contaminant concentrations were determined as indicators of exposure in a randomly selected subset of the fish. There were no significant differences in liver tumor prevalence: Back River = 8% (4/50), Furnace Creek = 0% (0/50), and Tuckahoe River = 2.6% (1/39;&nbsp;</span><i>p</i><span>&nbsp;= 0.20, extension of Fisher’s exact test). Skin tumor prevalence was as follows: Furnace Creek = 12% (6/50), Back River = 8% (4/50), and Tuckahoe River = 0% (0/39;&nbsp;</span><i>p</i><span>&nbsp;= 0.063). In the Back River fish, there was a 40% (20/50) prevalence of fin erosion and a 28% (14/50) prevalence of abnormal (shortened, clubbed, or missing) barbels. Fin erosion was not observed in the other collections, and only 10% (5/50) of the Furnace Creek fish had abnormal barbels (</span><i>p</i><span>&nbsp;&lt; 0.001 for both lesions). There were statistically significant differences in mean EROD activity, with levels in Furnace Creek and Back River fish approximately twice that found in Tuckahoe River fish. There were also significant differences in mean benzo(a)pyrene-like bile metabolite concentrations: the lowest mean was in the Tuckahoe River fish, 8 times higher in Furnace Creek fish, and 13 times higher in Back River fish. Of the 3 groups, the Back River bullheads appear to be most adversely affected by contaminant exposure because they had the highest prevalence of liver tumors, fin erosion, and abnormal barbels.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-003-2252-1","usgsCitation":"Pinkney, A., Harshbarger, J., May, E., and Melancon, M.J., 2004, Tumor prevalence and biomarkers of exposure in brown bullhead (Ameiurus nebulosus) from Back River, Furnace Creek, and Tuckahoe River, Maryland: Archives of Environmental Contamination and Toxicology, v. 46, no. 4, p. 492-501, https://doi.org/10.1007/s00244-003-2252-1.","productDescription":"10 p.","startPage":"492","endPage":"501","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201594,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"46","issue":"4","noUsgsAuthors":false,"publicationDate":"2004-06-14","publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db6241bf","contributors":{"authors":[{"text":"Pinkney, A.E.","contributorId":87501,"corporation":false,"usgs":true,"family":"Pinkney","given":"A.E.","affiliations":[],"preferred":false,"id":341239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harshbarger, J.C.","contributorId":18303,"corporation":false,"usgs":true,"family":"Harshbarger","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":341238,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, E.B.","contributorId":6406,"corporation":false,"usgs":true,"family":"May","given":"E.B.","email":"","affiliations":[],"preferred":false,"id":341237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melancon, M. J.","contributorId":96206,"corporation":false,"usgs":true,"family":"Melancon","given":"M.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341240,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224286,"text":"5224286 - 2004 - Gold concentrations in abiotic materials, plants, and animals: A synoptic review","interactions":[],"lastModifiedDate":"2021-08-23T11:44:26.094983","indexId":"5224286","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Gold concentrations in abiotic materials, plants, and animals: A synoptic review","docAbstract":"<p>Gold (Au) is ubiquitous in the environment and mined commercially at numerous locations worldwide. It is also an allergen that induces dermatitis in sensitive individuals. Gold concentrations were comparatively elevated in samples collected near gold mining and processing facilities, although no data were found for birds and non-human mammals. Maximum gold concentrations reported in abiotic materials were <span>0.001 μg L</span><sup>-1</sup> in rainwater; <span>0.0015 μgL</span><sup>-1</sup> in seawater near hydrothermal vents vs. <span>&lt;0.00004–0.0007 μg L</span><sup>-1</sup> elsewhere; <span>5.0 μg kg</span><sup>-1</sup> dry weight (DW) in the Earth's crust; <span>19.0 μg L</span><sup>-1</sup> in a freshwater stream near a gold mining site; <span>440 μg kg</span><sup>-1</sup><span>&nbsp;</span> DW in atmospheric dust near a high traffic road; <span>843 μg kg</span><sup>-1</sup> DW in alluvial soil near a Nevada gold mine vs. <span>&lt;29 μg kg</span><sup>-1</sup> DW premining; <span>2.53 mg kg</span><sup>-1</sup> DW in snow near a Russian smelter vs. <span>&lt;0.35 mg kg</span><sup>-1</sup> DW at a reference site; <span>4.5 mg kg</span><sup>-1</sup> DW in sewage sludge; <span>28.7 mg kg</span><sup>-1</sup> DW in polymetallic sulfides from the ocean floor; and <span>256.0 mg kg</span><sup>-1</sup> DW in freshwater sediments near a gold mine tailings pile vs. <span>&lt;5 μg kg</span><sup>-1</sup> DW prior to mining. In plants, elevated concentrations of <span>19 μg Au kg</span><sup>-1</sup> DW were reported in terrestrial vegetation near gold mining operations vs. <span>&lt;4 μg kg</span><sup>-1</sup> DW at a reference site; <span>37 μg kg</span><sup>-1</sup> DW in aquatic bryophytes downstream from a gold mine; <span>150 μg Au kg</span><sup>-1</sup> DW in leaves of beans grown in soil containing <span>170 μg kg</span><sup>-1</sup> DW; up to <span>1.06 mg kg</span><sup>-1</sup> DW in algal mats of rivers receiving gold mine wastes; and <span>0.1–100 mg kg</span><sup>-1</sup> DW in selected gold accumulator plants. Fish and aquatic invertebrates contained <span>0.1–38.0 μg Au kg</span><sup>-1</sup> DW. In humans, gold concentrations up to <span>1.1 μg L</span><sup>-1</sup> were documented in urine of dental technicians vs. <span>0.002–0.85 μg L</span><sup>-1</sup> in reference populations; <span>2.1 μg L</span><sup>-1</sup> in breast milk, attributed to gold dental fillings and jewelry of mothers; <span>1.4 mg kg</span><sup>-1</sup> DW in hair of goldsmiths vs. a normal range of <span>6–880 μg kg</span><sup>-1</sup> DW; <span>2.39 mg L</span><sup>-1</sup> in whole blood of rheumatoid arthritis patients receiving gold thiol drugs to reduce inflammation (chrysotherapy) vs. a normal range of <span>0.2–2.0 μg L</span><sup>-1</sup>; and <span>60.0 to 233.0 mg kg</span><sup>-1</sup> fresh weight (FW) in kidneys of rheumatoid arthritis patients undergoing active chrysotherapy vs. <span>&lt;42.0 mg kg</span><sup>-1</sup> FW kidney 140 months posttreatment.</p>","language":"English","publisher":"Springer","doi":"10.1023/B:EMAS.0000003567.66682.d8","usgsCitation":"Eisler, R., 2004, Gold concentrations in abiotic materials, plants, and animals: A synoptic review: Environmental Monitoring and Assessment, v. 90, no. 1-3, p. 73-88, https://doi.org/10.1023/B:EMAS.0000003567.66682.d8.","productDescription":"16 p.","startPage":"73","endPage":"88","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201505,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"90","issue":"1-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abde4b07f02db674256","contributors":{"authors":[{"text":"Eisler, R.","contributorId":51869,"corporation":false,"usgs":true,"family":"Eisler","given":"R.","affiliations":[],"preferred":false,"id":341158,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224283,"text":"5224283 - 2004 - Mercury hazards from gold mining to humans, plants, and animals","interactions":[],"lastModifiedDate":"2021-06-30T15:46:59.498052","indexId":"5224283","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","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":"Mercury hazards from gold mining to humans, plants, and animals","docAbstract":"<p>Mercury contamination of the environment from historical and ongoing mining practices that rely on mercury amalgamation for gold extraction is widespread. Contamination was particularly severe in the immediate vicinity of gold extraction and refining operations; however, mercury, especially in the form of water-soluble methylmercury, may be transported to pristine areas by rainwater, water currents, deforestation, volatilization, and other vectors. Examples of gold mining-associated mercury pollution are shown for Canada, the United States, Africa, China, the Philippines, Siberia, and South America. In parts of Brazil, for example, mercury concentrations in all abiotic materials, plants, and animals--including endangered species of mammals and reptiles, collected near ongoing mercury-amalgamation gold mining sites were far in excess of allowable mercury levels promulgated by regulatory agencies for the protection of human health and natural resources. Although health authorities in Brazil are unable to detect conclusive evidence of human mercury intoxication, the potential exists in the absence of mitigation for epidemic mercury poisoning of the mining population and environs. In the United States, environmental mercury contamination is mostly from historical gold mining practices, and portions of Nevada remain sufficiently mercury-contaminated to pose a hazard to reproduction of carnivorous fishes and fish-eating birds. <span>Concentrations of total mercury lethal to sensitive representative natural resources range from 0.1 to 2.0 microg/L of medium for aquatic organisms; from 2,200 to 31,000 microg/kg BW (acute oral) and from 4,000 to 40,000 microg/kg (dietary) for birds; and from 100 to 500 microg/kg BW (daily dose) and from 1,000 to 5,000 microg/kg diet for mammals. Significant adverse sublethal effects were observed among selected aquatic species at water concentrations of 0.03-0.1 microg Hg/L. For some birds, adverse effects, mainly on reproduction, have been associated with total mercury concentrations (microg/kg FW) of 5,000 in feathers, 900 in eggs, and 50-100 in diet, and with daily intakes of 640 microg/kg BW. Sensitive nonhuman mammals showed significant adverse effects of mercury when daily intakes were 250 microg/kg BW, when dietary levels were 1,100 microg/kg, or when tissue concentrations exceeded 1,100 microg/kg. Proposed mercury criteria for protection of aquatic life range from 0.012 microg/L for freshwater life to 0.025 microg/L for marine life; for birds, less than 100 microg/kg diet FW; and for small mammals, less than 1,100 microg/kg FW diet. All these proposed criteria provide, at best, minimal protection.</span></p>","language":"English","publisher":"SpringerLink","doi":"10.1007/0-387-21733-9_4","usgsCitation":"Eisler, R., 2004, Mercury hazards from gold mining to humans, plants, and animals: Archives of Environmental Contamination and Toxicology, v. 181, p. 139-198, https://doi.org/10.1007/0-387-21733-9_4.","productDescription":"60 p.","startPage":"139","endPage":"198","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202450,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ae4b07f02db624bd3","contributors":{"authors":[{"text":"Eisler, R.","contributorId":51869,"corporation":false,"usgs":true,"family":"Eisler","given":"R.","affiliations":[],"preferred":false,"id":341155,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224292,"text":"5224292 - 2004 - Mercury accumulation and loss in mallard eggs","interactions":[],"lastModifiedDate":"2021-08-23T15:39:13.853384","indexId":"5224292","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mercury accumulation and loss in mallard eggs","docAbstract":"<p>Female mallards (<i>Anas platyrhynchos</i>) were fed diets containing 5, 10, or 20 ppm mercury as methylmercury chloride. One egg was collected from each bird before the start of the mercury diets and 15 eggs were collected from each bird while it was being fed mercury. The mercury diets were then replaced by uncontaminated diets, and each female was allowed to lay 29 more eggs. Mercury levels in eggs rose to about 7,18, and 35 ppm wet-weight in females fed 5,10, or 20 ppm mercury, respectively. Mercury levels fell to about 0.16,0.80, and 1.7 ppm in the last egg laid by birds that had earlier been fed 5, 10, or 20 ppm mercury, respectively. Higher concentrations of mercury were found in egg albumen than in yolk, and between 95 and 100% of the mercury in the eggs was in the form of methylmercury.</p>","language":"English","publisher":"Wiley","doi":"10.1897/03-111","usgsCitation":"Heinz, G.H., and Hoffman, D.J., 2004, Mercury accumulation and loss in mallard eggs: Environmental Toxicology and Chemistry, v. 23, no. 1, p. 222-224, https://doi.org/10.1897/03-111.","productDescription":"3 p.","startPage":"222","endPage":"224","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196206,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"1","noUsgsAuthors":false,"publicationDate":"2004-01-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a49e4b07f02db624479","contributors":{"authors":[{"text":"Heinz, G. H.","contributorId":85905,"corporation":false,"usgs":true,"family":"Heinz","given":"G.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":341183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, D. J.","contributorId":12801,"corporation":false,"usgs":true,"family":"Hoffman","given":"D.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":341182,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224303,"text":"5224303 - 2004 - Investigating species co-occurrence patterns when species are detected imperfectly","interactions":[],"lastModifiedDate":"2021-08-30T15:42:59.828089","indexId":"5224303","displayToPublicDate":"2010-06-16T12:18:50","publicationYear":"2004","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":"Investigating species co-occurrence patterns when species are detected imperfectly","docAbstract":"<p>1. Over the last 30 years there has been a great deal of interest in investigating patterns of species co-occurrence across a number of locations, which has led to the development of numerous methods to determine whether there is evidence that a particular pattern may not have occurred by random chance. 2. A key aspect that seems to have been largely overlooked is the possibility that species may not always be detected at a location when present, which leads to 'false absences' in a species presence/absence matrix that may cause incorrect inferences to be made about co-occurrence patterns. Furthermore, many of the published methods for investigating patterns of species co-occurrence do not account for potential differences in the site characteristics that may partially (at least) explain non-random patterns (e.g. due to species having similar/different habitat preferences). 3. Here we present a statistical method for modelling co-occurrence patterns between species while accounting for imperfect detection and site characteristics. This method requires that multiple presence/absence surveys for the species be conducted over a reasonably short period of time at most sites. The method yields unbiased estimates of probabilities of occurrence, and is practical when the number of species is small (&lt; 4). 4. To illustrate the method we consider data collected on two terrestrial salamander species, <i>Plethodon jordani</i> and members of the <i>Plethodon glutinosus</i> complex, collected in the Great Smoky Mountains National Park, USA. We find no evidence that the species do not occur independently at sites once site elevation has been allowed for, although we find some evidence of a statistical interaction between species in terms of detectability that we suggest may be due to changes in relative abundances.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.0021-8790.2004.00828.x","usgsCitation":"MacKenzie, D., Bailey, L., and Nichols, J., 2004, Investigating species co-occurrence patterns when species are detected imperfectly: Journal of Animal Ecology, v. 73, no. 3, p. 546-555, https://doi.org/10.1111/j.0021-8790.2004.00828.x.","productDescription":"10 p.","startPage":"546","endPage":"555","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477994,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.0021-8790.2004.00828.x","text":"Publisher Index Page"},{"id":199464,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Tennessee","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.968505859375,\n              35.29943548054545\n            ],\n            [\n              -83.0126953125,\n              35.29943548054545\n            ],\n            [\n              -83.0126953125,\n              35.746512259918504\n            ],\n            [\n              -83.968505859375,\n              35.746512259918504\n            ],\n            [\n              -83.968505859375,\n              35.29943548054545\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"73","issue":"3","noUsgsAuthors":false,"publicationDate":"2004-04-16","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699fe6","contributors":{"authors":[{"text":"MacKenzie, D.I.","contributorId":69522,"corporation":false,"usgs":true,"family":"MacKenzie","given":"D.I.","email":"","affiliations":[],"preferred":false,"id":341203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, L.L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":61006,"corporation":false,"usgs":true,"family":"Bailey","given":"L.L.","affiliations":[],"preferred":false,"id":341202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":341201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}