{"pageNumber":"1014","pageRowStart":"25325","pageSize":"25","recordCount":40827,"records":[{"id":5224607,"text":"5224607 - 2005 - Modeling association among demographic parameters in analysis of open population capture-recapture data","interactions":[],"lastModifiedDate":"2016-12-06T13:14:27","indexId":"5224607","displayToPublicDate":"2010-06-16T12:18:51","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Modeling association among demographic parameters in analysis of open population capture-recapture data","docAbstract":"<p><span>We present a hierarchical extension of the Cormack–Jolly–Seber (CJS) model for open population capture–recapture data. In addition to recaptures of marked animals, we model first captures of animals and losses on capture. The parameter set includes capture probabilities, survival rates, and birth rates. The survival rates and birth rates are treated as a random sample from a bivariate distribution, thus the model explicitly incorporates correlation in these demographic rates. A key feature of the model is that the likelihood function, which includes a CJS model factor, is expressed entirely in terms of identifiable parameters; losses on capture can be factored out of the model. Since the computational complexity of classical likelihood methods is prohibitive, we use Markov chain Monte Carlo in a Bayesian analysis. We describe an efficient candidate-generation scheme for Metropolis–Hastings sampling of CJS models and extensions. The procedure is illustrated using mark-recapture data for the moth </span><i>Gonodontis bidentata</i><span>.</span></p>","language":"English","publisher":"International Biometric Society","doi":"10.1111/j.0006-341X.2005.030906.x","usgsCitation":"Link, W., and Barker, R., 2005, Modeling association among demographic parameters in analysis of open population capture-recapture data: Biometrics, v. 61, no. 1, p. 46-54, https://doi.org/10.1111/j.0006-341X.2005.030906.x.","productDescription":"9 p.","startPage":"46","endPage":"54","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":197946,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2005-02-28","publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60fa3d","contributors":{"authors":[{"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":342059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barker, Richard J.","contributorId":6987,"corporation":false,"usgs":true,"family":"Barker","given":"Richard J.","affiliations":[],"preferred":false,"id":342060,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224605,"text":"5224605 - 2005 - Modeling anuran detection and site occupancy on North American Amphibian Monitoring Program (NAAMP) routes in Maryland","interactions":[],"lastModifiedDate":"2022-05-24T14:52:15.18942","indexId":"5224605","displayToPublicDate":"2010-06-16T12:18:51","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling anuran detection and site occupancy on North American Amphibian Monitoring Program (NAAMP) routes in Maryland","docAbstract":"<p><span>One of the most fundamental problems in monitoring animal populations is that of imperfect detection. Although imperfect detection can be modeled, studies examining patterns in occurrence often ignore detection and thus fail to properly partition variation in detection from that of occurrence. In this study, we used anuran calling survey data collected on North American Amphibian Monitoring Program routes in eastern Maryland to investigate factors that influence detection probability and site occupancy for 10 anuran species. In 2002, 17 calling survey routes in eastern Maryland were surveyed to collect environmental and species data nine or more times. To analyze these data, we developed models incorporating detection probability and site occupancy. The results suggest that, for more than half of the 10 species, detection probabilities vary most with season (i.e., day-of-year), air temperature, time, and moon illumination, whereas site occupancy may vary by the amount of palustrine forested wetland habitat. Our results suggest anuran calling surveys should document air temperature, time of night, moon illumination, observer skill, and habitat change over time, as these factors can be important to model-adjusted estimates of site occupancy. Our study represents the first formal modeling effort aimed at developing an analytic assessment framework for NAAMP calling survey data.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/0022-1511(2005)039[0627:MADASO]2.0.CO;2","usgsCitation":"Weir, L., Royle, J., Nanjappa, P., and Jung, R.E., 2005, Modeling anuran detection and site occupancy on North American Amphibian Monitoring Program (NAAMP) routes in Maryland: Journal of Herpetology, v. 39, no. 4, p. 627-639, https://doi.org/10.1670/0022-1511(2005)039[0627:MADASO]2.0.CO;2.","productDescription":"13 p.","startPage":"627","endPage":"639","numberOfPages":"13","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196002,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":5224503,"text":"5224503 - 2005 - Rejoinder to \"The performance of mixture models in heterogeneous closed population capture-recapture\"","interactions":[],"lastModifiedDate":"2021-06-07T16:04:30.220402","indexId":"5224503","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Rejoinder to \"The performance of mixture models in heterogeneous closed population capture-recapture\"","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1111/j.1541-020X.2005.00411_2.x","usgsCitation":"Dorazio, R., and Royle, J.A., 2005, Rejoinder to \"The performance of mixture models in heterogeneous closed population capture-recapture\": Biometrics, v. 61, no. 3, p. 874-876, https://doi.org/10.1111/j.1541-020X.2005.00411_2.x.","productDescription":"3 p.","startPage":"874","endPage":"876","numberOfPages":"3","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":197977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"3","noUsgsAuthors":false,"publicationDate":"2005-08-31","publicationStatus":"PW","scienceBaseUri":"4f4e4a7ee4b07f02db64858a","contributors":{"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":172151,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":341901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224502,"text":"5224502 - 2005 - Fossil shrews from Honduras and their significance for late glacial evolution in body size (Mammalia: Soricidae: Cryptotis)","interactions":[],"lastModifiedDate":"2022-03-29T15:59:08.574934","indexId":"5224502","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1635,"text":"Fieldiana Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Fossil shrews from Honduras and their significance for late glacial evolution in body size (Mammalia: Soricidae: <i>Cryptotis</i>)","title":"Fossil shrews from Honduras and their significance for late glacial evolution in body size (Mammalia: Soricidae: Cryptotis)","docAbstract":"<p id=\"ID0EF\" class=\"first\">Our study of mammalian remains excavated in the 1940s from McGrew Cave, north of Copán, Honduras, yielded an assemblage of 29 taxa that probably accumulated predominantly as the result of predation by owls. Among the taxa present are three species of small-eared shrews, genus<span>&nbsp;</span><i><span class=\"genus-species\">Cryptotis</span></i>. One species,<span>&nbsp;</span><i><span class=\"genus-species\">Cryptotis merriami</span></i>, is relatively rare among the fossil remains. The other two shrews,<span>&nbsp;</span><i><span class=\"genus-species\">Cryptotis goodwini</span></i><span>&nbsp;</span>and<span>&nbsp;</span><i><span class=\"genus-species\">Cryptotis orophila</span></i>, are abundant and exhibit morphometrical variation distinguishing them from modern populations. Fossils of<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i><span>&nbsp;</span>are distinctly and consistently smaller than modern members of the species. To quantify the size differences, we derived common measures of body size for fossil<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i><span>&nbsp;</span>using regression models based on modern samples of shrews in the<span>&nbsp;</span><i><span class=\"genus-species\">Cryptotis mexicana</span></i>-group. Estimated mean length of head and body for the fossil sample is 72–79 mm, and estimated mean mass is 7.6–9.6 g. These numbers indicate that the fossil sample averaged 6–14% smaller in head and body length and 39–52% less in mass than the modern sample and that increases of 6–17% in head and body length and 65–108% in mass occurred to achieve the mean body size of the modern sample. Conservative estimates of fresh (wet) food intake based on mass indicate that such a size increase would require a 37–58% increase in daily food consumption. In contrast to<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i>, fossil<span>&nbsp;</span><i><span class=\"genus-species\">C. orophila</span></i><span>&nbsp;</span>from the cave is not different in mean body size from modern samples. The fossil sample does, however, show slightly greater variation in size than is currently present throughout the modern geographical distribution of the taxon. Moreover, variation in some other dental and mandibular characters is more constrained, exhibiting a more direct relationship to overall size. Our study of these species indicates that North American shrews have not all been static in size through time, as suggested by some previous work with fossil soricids.</p><p id=\"ID0ELB\">Lack of stratigraphic control within the site and our failure to obtain reliable radiometric dates on remains restrict our opportunities to place the site in a firm temporal context. However, the morphometrical differences we document for fossil<span>&nbsp;</span><i><span class=\"genus-species\">C. orophila</span></i><span>&nbsp;</span>and<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i><span>&nbsp;</span>show them to be distinct from modern populations of these shrews. Some other species of fossil mammals from McGrew Cave exhibit distinct size changes of the magnitudes experienced by many northern North American and some Mexican mammals during the transition from late glacial to Holocene environmental conditions, and it is likely that at least some of the remains from the cave are late Pleistocene in age. One curious factor is that, whereas most mainland mammals that exhibit large-scale size shifts during the late glacial/postglacial transition experienced dwarfing,<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i><span>&nbsp;</span>increased in size. The lack of clinal variation in modern<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i><span>&nbsp;</span>supports the hypothesis that size evolution can result from local selection rather than from cline translocation. Models of size change in mammals indicate that increased size, such as that observed for<span>&nbsp;</span><i><span class=\"genus-species\">C. goodwini</span></i>, are a likely consequence of increased availability of resources and, thereby, a relaxation of selection during critical times of the year.</p>","language":"English","publisher":"Field Museum of Natural History","doi":"10.3158/0096-2651(2005)51[1:FSFHAT]2.0.CO;2","usgsCitation":"Woodman, N., and Croft, D.A., 2005, Fossil shrews from Honduras and their significance for late glacial evolution in body size (Mammalia: Soricidae: Cryptotis): Fieldiana Geology, v. 51, 1534, 30 p., https://doi.org/10.3158/0096-2651(2005)51[1:FSFHAT]2.0.CO;2.","productDescription":"1534, 30 p.","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477616,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3158/0096-2651(2005)51[1:fsfhat]2.0.co;2","text":"External Repository"},{"id":201665,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Honduras","otherGeospatial":"McGraw Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.20623779296875,\n              14.79347208021435\n            ],\n            [\n              -89.12933349609375,\n              14.79347208021435\n            ],\n            [\n              -89.12933349609375,\n              14.887723217337792\n            ],\n            [\n              -89.20623779296875,\n              14.887723217337792\n            ],\n            [\n              -89.20623779296875,\n              14.79347208021435\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","noUsgsAuthors":false,"publicationDate":"2005-07-20","publicationStatus":"PW","scienceBaseUri":"4f4e4b1ce4b07f02db6a9423","contributors":{"authors":[{"text":"Woodman, N. 0000-0003-2689-7373","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":104176,"corporation":false,"usgs":true,"family":"Woodman","given":"N.","affiliations":[],"preferred":false,"id":341900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croft, D. A.","contributorId":55941,"corporation":false,"usgs":true,"family":"Croft","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":341899,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224591,"text":"5224591 - 2005 - Nonlinearity and seasonal bias in an index of brushtail possum abundance","interactions":[],"lastModifiedDate":"2022-05-26T14:33:51.983169","indexId":"5224591","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","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":"Nonlinearity and seasonal bias in an index of brushtail possum abundance","docAbstract":"<p><span>Introduced brushtail possums (</span><i><span class=\"genus-species\">Trichosurus vulpecula</span></i><span>) are a widespread pest of conservation and agriculture in New Zealand, and considerable effort has been expended controlling populations to low densities. A national protocol for monitoring the abundance of possums, termed trap catch index (TCI), was adopted in 1996. The TCI requires that lines of leghold traps set at 20-m spacing are randomly located in a management area. The traps are set for 3 fine nights and checked daily, and possums are killed and traps reset. The TCI is the mean percentage of trap nights that possums were caught, corrected for sprung traps and nontarget captures, with trap line as the sampling unit. We studied 1 forest and 1 farmland area in the North Island, New Zealand, to address concerns that TCI estimates may not be readily comparable because of seasonal changes in the capture probability of possums. We located blocks of 6 trap lines at each area and randomly trapped 1 line in each block in 3 seasons (summer, winter, and spring) in 2000 and 2001. We developed a model to allow for variation in local population size and nightly capture probability, and fitted the model using the Bayesian analysis software&nbsp;</span><i>BUGS</i><span>. Capture probability declined with increasing abundance of possums, generating a nonlinear TCI. Capture probability in farmland was lower during spring relative to winter and summer, and to forest during summer. In the absence of a proven and cost-effective alternative, our results support the continued use of the TCI for monitoring the abundance of possums in New Zealand. Seasonal biases in the TCI should be minimized by conducting repeat sampling in the same season.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.2193/0022-541X(2005)069[0976:NASBIA]2.0.CO;2","usgsCitation":"Forsyth, D.M., Link, W., Webster, R., Nugent, G., and Warburton, B., 2005, Nonlinearity and seasonal bias in an index of brushtail possum abundance: Journal of Wildlife Management, v. 69, no. 3, p. 976-984, https://doi.org/10.2193/0022-541X(2005)069[0976:NASBIA]2.0.CO;2.","productDescription":"9 p.","startPage":"976","endPage":"984","numberOfPages":"9","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202284,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a60e4b07f02db6352b8","contributors":{"authors":[{"text":"Forsyth, David M.","contributorId":147652,"corporation":false,"usgs":false,"family":"Forsyth","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":16881,"text":"Department of Zoology, University of Melbourne, Victoria 3000, Australia","active":true,"usgs":false}],"preferred":false,"id":342013,"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":342010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webster, R.","contributorId":29548,"corporation":false,"usgs":false,"family":"Webster","given":"R.","email":"","affiliations":[],"preferred":false,"id":342012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nugent, G.","contributorId":14089,"corporation":false,"usgs":false,"family":"Nugent","given":"G.","email":"","affiliations":[],"preferred":false,"id":342011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warburton, B.","contributorId":102984,"corporation":false,"usgs":false,"family":"Warburton","given":"B.","email":"","affiliations":[],"preferred":false,"id":342014,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224590,"text":"5224590 - 2005 - Estimating site occupancy and abundance using indirect detection indices","interactions":[],"lastModifiedDate":"2022-05-26T14:28:57.914806","indexId":"5224590","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","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":"Estimating site occupancy and abundance using indirect detection indices","docAbstract":"<p><span>Knowledge of factors influencing animal distribution and abundance is essential in many areas of ecological research, management, and policy-making. Because common methods for modeling and estimating abundance (e.g., capture–recapture, distance sampling) are sometimes not practical for large areas or elusive species, indices are sometimes used as surrogate measures of abundance. We present an extension of the&nbsp;</span>Royle and Nichols (2003)<span>&nbsp;generalization of the&nbsp;</span>MacKenzie et al. (2002)<span>&nbsp;site-occupancy model that incorporates length of the sampling interval into the model for detection probability. As a result, we obtain a modeling framework that shows how useful information can be extracted from a class of index methods we call indirect detection indices (IDIs). Examples of IDIs include scent station, tracking tube, snow track, tracking plate, and hair snare surveys. Our model is maximum likelihood, and it can be used to estimate site occupancy and model factors influencing patterns of occupancy and abundance in space. Under certain circumstances, it can also be used to estimate abundance. We evaluated model properties using Monte Carlo simulations and illustrate the method with tracking tube and scent station data. We believe this model will be a useful tool for determining factors that influence animal distribution and abundance.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.2193/0022-541X(2005)069[0874:ESOAAU]2.0.CO;2","usgsCitation":"Stanley, T.R., and Royle, J., 2005, Estimating site occupancy and abundance using indirect detection indices: Journal of Wildlife Management, v. 69, no. 3, p. 874-883, https://doi.org/10.2193/0022-541X(2005)069[0874:ESOAAU]2.0.CO;2.","productDescription":"10 p.","startPage":"874","endPage":"883","numberOfPages":"10","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202097,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ce4b07f02db5fc887","contributors":{"authors":[{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":342008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":342009,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224588,"text":"5224588 - 2005 - Vulnerability of northern prairie wetlands to climate change","interactions":[],"lastModifiedDate":"2021-06-07T16:32:16.796559","indexId":"5224588","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of northern prairie wetlands to climate change","docAbstract":"The prairie pothole region (PPR) lies in the heart of North America and contains millions of glacially formed, depressional wetlands embedded in a landscape matrix of natural grassland and agriculture.  These wetlands provide valuable ecosystem services and produce 50% to 80% of the continent's ducks.  We explored the broad spatial and temporal patterns across the PPR between climate and wetland water levels and vegetation by applying a wetland simulation model (WETSIM) to 18 stations with 95-year weather records.  Simulations suggest that the most productive habitat for breeding waterfowl would shift under a drier climate from the center of the PPR (the Dakotas and southeastern Saskatchewan) to the wetter eastern and northern fringes, areas currently less productive or where most wetlands have been drained.  Unless these wetlands are protected and restored, there is little insurance for waterfowl against future climate warming.  WETSIM can assist wetland managers in allocating restoration dollars in an uncertain climate future.","language":"English","publisher":"Oxford Academic","doi":"10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2","usgsCitation":"Johnson, W., Millett, B., Gilmanov, T., Voldseth, R.A., Guntenspergen, G.R., and Naugle, D., 2005, Vulnerability of northern prairie wetlands to climate change: BioScience, v. 55, no. 10, p. 863-872, https://doi.org/10.1641/0006-3568(2005)055[0863:VONPWT]2.0.CO;2.","productDescription":"10 p.","startPage":"863","endPage":"872","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477617,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1641/0006-3568(2005)055[0863:vonpwt]2.0.co;2","text":"Publisher Index Page"},{"id":196337,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, Iowa, Manitoba, Minnesota, Montana, Nebraska, North Dakota, Saskatchewan, South Dakota","otherGeospatial":"Prairie Potholes region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.625,\n              44.402391829093915\n            ],\n            [\n              -93.6474609375,\n              41.1455697310095\n            ],\n            [\n              -91.1865234375,\n              42.00032514831621\n            ],\n            [\n              -93.8671875,\n              47.040182144806664\n            ],\n            [\n              -96.1962890625,\n              50.064191736659104\n            ],\n            [\n              -96.6357421875,\n              50.764259357116465\n            ],\n            [\n              -97.20703125,\n              51.56341232867588\n            ],\n            [\n              -98.61328125,\n              51.01375465718821\n            ],\n            [\n              -100.8544921875,\n              50.958426723359935\n            ],\n            [\n              -117.6416015625,\n              53.25206880589411\n            ],\n            [\n              -116.1474609375,\n              51.6180165487737\n            ],\n            [\n              -114.2578125,\n              48.951366470947725\n            ],\n            [\n              -111.4453125,\n              47.040182144806664\n            ],\n            [\n              -108.28125,\n              47.78363463526376\n            ],\n            [\n              -105.4248046875,\n              47.60616304386874\n            ],\n            [\n              -101.7333984375,\n              46.98025235521883\n            ],\n            [\n              -100.5029296875,\n              45.61403741135093\n            ],\n            [\n              -99.4482421875,\n              43.26120612479979\n            ],\n            [\n              -97.6025390625,\n              41.86956082699455\n            ],\n            [\n              -95.5810546875,\n              44.24519901522129\n            ],\n            [\n              -95.625,\n              44.402391829093915\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd5da","contributors":{"authors":[{"text":"Johnson, W. Carter","contributorId":97237,"corporation":false,"usgs":true,"family":"Johnson","given":"W. Carter","affiliations":[],"preferred":false,"id":342000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millett, Bruce","contributorId":102194,"corporation":false,"usgs":true,"family":"Millett","given":"Bruce","affiliations":[],"preferred":false,"id":341999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gilmanov, Tagir","contributorId":6351,"corporation":false,"usgs":true,"family":"Gilmanov","given":"Tagir","affiliations":[],"preferred":false,"id":342001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Voldseth, Richard A.","contributorId":98453,"corporation":false,"usgs":true,"family":"Voldseth","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":342002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":342004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naugle, David E.","contributorId":255114,"corporation":false,"usgs":false,"family":"Naugle","given":"David E.","affiliations":[{"id":51432,"text":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA","active":true,"usgs":false}],"preferred":false,"id":342003,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224477,"text":"5224477 - 2005 - Modeling avian abundance from replicated counts using binomial mixture models","interactions":[],"lastModifiedDate":"2016-10-27T11:21:14","indexId":"5224477","displayToPublicDate":"2010-06-16T12:18:49","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Modeling avian abundance from replicated counts using binomial mixture models","docAbstract":"<p><span>Abundance estimation in ecology is usually accomplished by capture–recapture, removal, or distance sampling methods. These may be hard to implement at large spatial scales. In contrast, binomial mixture models enable abundance estimation without individual identification, based simply on temporally and spatially replicated counts. Here, we evaluate mixture models using data from the national breeding bird monitoring program in Switzerland, where some 250 1-km</span><sup>2</sup><span> quadrats are surveyed using the territory mapping method three times during each breeding season. We chose eight species with contrasting distribution (wide–narrow), abundance (high–low), and detectability (easy–difficult). Abundance was modeled as a random effect with a Poisson or negative binomial distribution, with mean affected by forest cover, elevation, and route length. Detectability was a logit-linear function of survey date, survey date-by-elevation, and sampling effort (time per transect unit). Resulting covariate effects and parameter estimates were consistent with expectations. Detectability per territory (for three surveys) ranged from 0.66 to 0.94 (mean 0.84) for easy species, and from 0.16 to 0.83 (mean 0.53) for difficult species, depended on survey effort for two easy and all four difficult species, and changed seasonally for three easy and three difficult species. Abundance was positively related to route length in three high-abundance and one low-abundance (one easy and three difficult) species, and increased with forest cover in five forest species, decreased for two nonforest species, and was unaffected for a generalist species. Abundance estimates under the most parsimonious mixture models were between 1.1 and 8.9 (median 1.8) times greater than estimates based on territory mapping; hence, three surveys were insufficient to detect all territories for each species. We conclude that binomial mixture models are an important new approach for estimating abundance corrected for detectability when only repeated-count data are available. Future developments envisioned include estimation of trend, occupancy, and total regional abundance.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/04-1120","usgsCitation":"Kery, M., Royle, J., and Schmid, H., 2005, Modeling avian abundance from replicated counts using binomial mixture models: Ecological Applications, v. 15, no. 4, p. 1450-1461, https://doi.org/10.1890/04-1120.","productDescription":"12 p.","startPage":"1450","endPage":"1461","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202207,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db6999a2","contributors":{"authors":[{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":341819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmid, Hans","contributorId":19648,"corporation":false,"usgs":true,"family":"Schmid","given":"Hans","affiliations":[],"preferred":false,"id":341818,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224471,"text":"5224471 - 2005 - Plant species invasions along the latitudinal gradient in the United States","interactions":[],"lastModifiedDate":"2021-07-07T15:11:38.425189","indexId":"5224471","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Plant species invasions along the latitudinal gradient in the United States","docAbstract":"<p><span>It has been long established that the richness of vascular plant species and many animal taxa decreases with increasing latitude, a pattern that very generally follows declines in actual and potential evapotranspiration, solar radiation, temperature, and thus, total productivity. Using county-level data on vascular plants from the United States (3000 counties in the conterminous 48 states), we used the Akaike Information Criterion (AIC) to evaluate competing models predicting native and nonnative plant species density (number of species per square kilometer in a county) from various combinations of biotic variables (e.g., native bird species density, vegetation carbon, normalized difference vegetation index), environmental/topographic variables (elevation, variation in elevation, the number of land cover classes in the county, radiation, mean precipitation, actual evapotranspiration, and potential evapotranspiration), and human variables (human population density, cropland, and percentage of disturbed lands in a county). We found no evidence of a latitudinal gradient for the density of native plant species and a significant, slightly positive latitudinal gradient for the density of nonnative plant species. We found stronger evidence of a significant, positive productivity gradient (vegetation carbon) for the density of native plant species and nonnative plant species. We found much stronger significant relationships when biotic, environmental/topographic, and human variables were used to predict native plant species density and nonnative plant species density. Biotic variables generally had far greater influence in multivariate models than human or environmental/topographic variables. Later, we found that the best, single, positive predictor of the density of nonnative plant species in a county was the density of native plant species in a county. While further study is needed, it may be that, while humans facilitate the initial establishment invasions of nonnative plant species, the spread and subsequent distributions of nonnative species are controlled largely by biotic and environmental factors.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/04-1195","usgsCitation":"Stohlgren, T.J., Barnett, D., Flather, C., Kartesz, J., and Peterjohn, B.G., 2005, Plant species invasions along the latitudinal gradient in the United States: Ecology, v. 86, no. 9, p. 2298-2309, https://doi.org/10.1890/04-1195.","productDescription":"12 p.","startPage":"2298","endPage":"2309","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477621,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://cdr.lib.unc.edu/downloads/sq87c371h","text":"External Repository"},{"id":202139,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad9e4b07f02db6850a7","contributors":{"authors":[{"text":"Stohlgren, Thomas J.","contributorId":213895,"corporation":false,"usgs":false,"family":"Stohlgren","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":38925,"text":"Natural Resource Ecology Laboratory, Colorado State University, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":341794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnett, David","contributorId":174944,"corporation":false,"usgs":false,"family":"Barnett","given":"David","affiliations":[],"preferred":false,"id":341796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flather, Curtis","contributorId":104779,"corporation":false,"usgs":true,"family":"Flather","given":"Curtis","affiliations":[],"preferred":false,"id":341798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kartesz, John","contributorId":11132,"corporation":false,"usgs":true,"family":"Kartesz","given":"John","affiliations":[],"preferred":false,"id":341795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterjohn, Bruce G. bpeterjohn@usgs.gov","contributorId":4493,"corporation":false,"usgs":true,"family":"Peterjohn","given":"Bruce","email":"bpeterjohn@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":341797,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224452,"text":"5224452 - 2005 - Double-observer approach to estimating egg mass abundance of vernal pool breeding amphibians","interactions":[],"lastModifiedDate":"2022-06-06T15:49:36.391444","indexId":"5224452","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Double-observer approach to estimating egg mass abundance of vernal pool breeding amphibians","docAbstract":"<p><span>Interest in seasonally flooded pools, and the status of associated amphibian populations, has initiated programs in the northeastern United States to document and monitor these habitats. Counting egg masses is an effective way to determine the population size of pool-breeding amphibians, such as wood frogs (</span><i>Rana sylvatica</i><span>) and spotted salamanders (</span><i>Ambystoma maculatum</i><span>). However, bias is associated with counts if egg masses are missed. Counts unadjusted for the proportion missed (i.e., without adjustment for detection probability) could lead to false assessments of population trends. We used a dependent double-observer method in 2002–2003 to estimate numbers of wood frog and spotted salamander egg masses at seasonal forest pools in 13 National Wildlife Refuges, 1 National Park, 1 National Seashore, and 1 State Park in the northeastern United States. We calculated detection probabilities for egg masses and examined whether detection probabilities varied by species, observers, pools, and in relation to pool characteristics (pool area, pool maximum depth, within-pool vegetation). For the 2&nbsp;years, model selection indicated that no consistent set of variables explained the variation in data sets from individual Refuges and Parks. Because our results indicated that egg mass detection probabilities vary spatially and temporally, we conclude that it is essential to use estimation procedures, such as double-observer methods with egg mass surveys, to determine population sizes and trends of these species.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11273-004-7524-7","usgsCitation":"Campbell Grant, E.H., Jung, R.E., Nichols, J.D., and Hines, J.E., 2005, Double-observer approach to estimating egg mass abundance of vernal pool breeding amphibians: Wetlands Ecology and Management, v. 13, no. 3, p. 305-320, https://doi.org/10.1007/s11273-004-7524-7.","productDescription":"16 p.","startPage":"305","endPage":"320","numberOfPages":"16","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202031,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Vermont, West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.59628,41.471905],[-70.450431,41.420703],[-70.496162,41.346452],[-70.802083,41.314207],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-69.960277,41.278731],[-70.256164,41.288123],[-70.092142,41.297741]]],[[[-71.502487,45.013367],[-71.443882,45.235462],[-70.898482,45.244088],[-70.684614,45.395071],[-70.688214,45.563981],[-70.259117,45.890755],[-70.290896,46.185838],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.066715,47.43024],[-69.0402,47.2451],[-68.893204,47.182974],[-68.292679,47.359476],[-67.790515,47.067921],[-67.803148,45.696127],[-67.476704,45.604157],[-67.489464,45.282653],[-67.390579,45.154114],[-67.145652,45.146667],[-66.986318,44.820657],[-68.049334,44.33073],[-68.22939,44.463496],[-68.191924,44.306675],[-68.339498,44.222893],[-68.3791,44.430049],[-68.529905,44.39907],[-68.528153,44.241263],[-68.982449,44.426195],[-69.031878,44.079036],[-69.259838,43.921427],[-69.851297,43.703581],[-70.026193,43.822587],[-70.176023,43.76079],[-70.810999,42.892375],[-70.772267,42.711064],[-70.595474,42.660336],[-70.996097,42.271222],[-70.754488,42.228673],[-70.471552,41.761563],[-70.008462,41.800786],[-70.169781,42.059736],[-70.082624,42.054657],[-69.935952,41.809422],[-69.976478,41.603664],[-70.329924,41.634578],[-70.902763,41.421061],[-70.658659,41.543385],[-70.623652,41.707398],[-71.12057,41.497448],[-71.458104,42.017762],[-73.432812,42.050587],[-73.482709,41.21276],[-73.727775,41.100696],[-73.782577,40.837601],[-72.635374,40.990536],[-72.245348,41.161217],[-72.273657,41.051533],[-72.116368,40.999796],[-71.869558,41.075046],[-73.23914,40.6251],[-73.934512,40.545175],[-74.143387,40.641903],[-74.209788,40.447407],[-73.995683,40.468707],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.481242,39.829112],[-75.736489,39.775759],[-75.693521,38.460128],[-75.053483,38.451274],[-75.237538,38.033461],[-75.860727,37.91831],[-75.938577,38.272329],[-76.254473,38.31512],[-76.320843,38.459862],[-76.190902,38.621092],[-76.308922,38.813346],[-76.205063,38.892726],[-76.333703,38.984607],[-76.168332,38.996546],[-76.27566,39.160304],[-75.997396,39.430314],[-76.063379,39.546638],[-76.497977,39.204697],[-76.438845,39.0529],[-76.559697,38.767443],[-76.329433,38.073986],[-77.040638,38.444618],[-77.256412,38.396755],[-76.953696,38.858512],[-77.002498,38.96541],[-77.458202,39.073723],[-77.588235,39.301955],[-77.747287,39.295001],[-77.821413,39.15241],[-78.347087,39.466012],[-78.436658,39.141691],[-78.865905,38.767034],[-78.993997,38.850102],[-79.26291,38.444586],[-79.649075,38.591515],[-80.314806,37.500943],[-80.475601,37.422949],[-81.67821,37.201483],[-82.487556,37.916975],[-82.598189,38.357885],[-82.205171,38.591719],[-82.091565,38.973778],[-81.819692,38.947016],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.652436,40.562544],[-80.52566,40.636068],[-80.519345,41.929168],[-78.868556,42.770258],[-79.061388,43.251349],[-78.370221,43.376505],[-76.952174,43.270692],[-76.235834,43.529256],[-76.133697,43.940356],[-76.360306,44.070907],[-76.312647,44.199044],[-74.946686,44.984665],[-71.502487,45.013367]]],[[[-74.144428,40.53516],[-74.219787,40.502603],[-74.120186,40.642201],[-74.144428,40.53516]]]]},\"properties\":{\"name\":\"Massachusetts\",\"nation\":\"USA  \"}}]}","volume":"13","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a52e4b07f02db62aadd","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jung, Robin E.","contributorId":22434,"corporation":false,"usgs":true,"family":"Jung","given":"Robin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":341718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224457,"text":"5224457 - 2005 - Climate patterns as predictors of amphibians species richness and indicators of potential stress","interactions":[],"lastModifiedDate":"2018-11-05T10:45:08","indexId":"5224457","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":697,"text":"Alytes","active":true,"publicationSubtype":{"id":10}},"title":"Climate patterns as predictors of amphibians species richness and indicators of potential stress","docAbstract":"<p>Amphibians occupy a range of habitats throughout the world, but species richness is greatest in regions with moist, warm climates. We modeled the statistical relations of anuran and urodele species richness with mean annual climate for the conterminous United States, and compared the strength of these relations at national and regional levels. Model variables were calculated for county and subcounty mapping units, and included 40-year (1960-1999) annual mean and mean annual climate statistics, mapping unit average elevation, mapping unit land area, and estimates of anuran and urodele species richness. Climate data were derived from more than 7,500 first-order and cooperative meteorological stations and were interpolated to the mapping units using multiple linear regression models. Anuran and urodele species richness were calculated from the United States Geological Survey's Amphibian Research and Monitoring Initiative (ARMI) National Atlas for Amphibian Distributions. The national multivariate linear regression (MLR) model of anuran species richness had an adjusted coefficient of determination (R2) value of 0.64 and the national MLR model for urodele species richness had an R2 value of 0.45. Stratifying the United States by coarse-resolution ecological regions provided models for anUrans that ranged in R2 values from 0.15 to 0.78. Regional models for urodeles had R2 values. ranging from 0.27 to 0.74. In general, regional models for anurans were more strongly influenced by temperature variables, whereas precipitation variables had a larger influence on urodele models.</p>","language":"English","usgsCitation":"Battaglin, W., Hay, L., McCabe, G., Nanjappa, P., and Gallant, A.L., 2005, Climate patterns as predictors of amphibians species richness and indicators of potential stress: Alytes, v. 22, no. 3-4, p. 146-167.","productDescription":"22 p.","startPage":"146","endPage":"167","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":202182,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a08e4b07f02db5fa686","contributors":{"authors":[{"text":"Battaglin, W.","contributorId":80388,"corporation":false,"usgs":true,"family":"Battaglin","given":"W.","email":"","affiliations":[],"preferred":false,"id":341737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hay, L.","contributorId":72103,"corporation":false,"usgs":true,"family":"Hay","given":"L.","email":"","affiliations":[],"preferred":false,"id":341735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, G.","contributorId":77637,"corporation":false,"usgs":true,"family":"McCabe","given":"G.","affiliations":[],"preferred":false,"id":341736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nanjappa, P.","contributorId":89247,"corporation":false,"usgs":true,"family":"Nanjappa","given":"P.","affiliations":[],"preferred":false,"id":341738,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallant, Alisa L. 0000-0002-3029-6637","orcid":"https://orcid.org/0000-0002-3029-6637","contributorId":23508,"corporation":false,"usgs":true,"family":"Gallant","given":"Alisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":341734,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224472,"text":"5224472 - 2005 - A general class of multinomial mixture models for anuran calling survey data","interactions":[],"lastModifiedDate":"2021-07-07T15:18:58.52801","indexId":"5224472","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A general class of multinomial mixture models for anuran calling survey data","docAbstract":"<p><span>We propose a general framework for modeling anuran abundance using data collected from commonly used calling surveys. The data generated from calling surveys are indices of calling intensity (vocalization of males) that do not have a precise link to actual population size and are sensitive to factors that influence anuran behavior. We formulate a model for calling-index data in terms of the maximum potential calling index that could be observed at a site (the “latent abundance class”), given its underlying breeding population, and we focus attention on estimating the distribution of this latent abundance class. A critical consideration in estimating the latent structure is imperfect detection, which causes the observed abundance index to be less than or equal to the latent abundance class. We specify a multinomial sampling model for the observed abundance index that is conditional on the latent abundance class. Estimation of the latent abundance class distribution is based on the marginal likelihood of the index data, having integrated over the latent class distribution. We apply the proposed modeling framework to data collected as part of the North American Amphibian Monitoring Program (NAAMP).</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/04-1802","usgsCitation":"Royle, J., and Link, W.A., 2005, A general class of multinomial mixture models for anuran calling survey data: Ecology, v. 86, no. 9, p. 2505-2512, https://doi.org/10.1890/04-1802.","productDescription":"8 p.","startPage":"2505","endPage":"2512","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202047,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeb6c","contributors":{"authors":[{"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":341800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, William A. 0000-0002-9913-0256 wlink@usgs.gov","orcid":"https://orcid.org/0000-0002-9913-0256","contributorId":146920,"corporation":false,"usgs":true,"family":"Link","given":"William","email":"wlink@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224467,"text":"5224467 - 2005 - The effects of captive rearing on the behavior of newly-released whooping cranes (Grus americana)","interactions":[],"lastModifiedDate":"2012-02-02T00:15:31","indexId":"5224467","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":827,"text":"Applied Animal Behaviour Science","active":true,"publicationSubtype":{"id":10}},"title":"The effects of captive rearing on the behavior of newly-released whooping cranes (Grus americana)","docAbstract":"Rearing treatments used in captivity to prepare animals for reintroduction to the wild may have a profound effect on behavior and, possibly, affect their survival after reintroduction. This study examined the behaviors of captive-reared whooping cranes (Grus americana) upon their release in Florida to determine if rearing treatments may affect the behavior of the birds and how these affect their chances of survival in the wild. Individually tagged birds were observed at the rearing facility, the U.S. Geological Survey Patuxent Wildlife Research Center in Maryland, from hatch to 20 weeks of age and at the release site in Central Florida for up to 6 weeks post release. The rearing treatments were parent reared (PR), hand reared (HR), and hand reared with exercise (HRE). Observations at the rearing facility are described in a previous paper. At the release site, each bird was observed for 5 min every morning (0700?1000 h) and late afternoon (1500?1800 h) during the 6-week study period. Our results indicated that most of the time, the n = 34 birds were foraging (46.03 ? 1.48%), followed by nonvigilant (20.89 ? 0.73%), vigilant (19.21 ? 0.72%), or performing comfort behaviors (11.61 ? 1.28%). Data were analyzed using mixed models repeated measures ANOVA. There were no significant behavioral differences between HR and HRE birds. PR birds were found in larger groups than HR birds during the first 2 weeks post release and greater than HR and HRE birds afterwards. This may be interpreted as an antipredator strategy for birds that relied on parental guidance during rearing. HR and HRE birds foraged more than PR birds during the first 2 weeks post release and PR birds were more vigilant during the first 2 weeks post release. Across rearing treatments, the percentages of time spent foraging and engaged in vigilant behaviors during rearing were positively correlated with their behavior upon release. If any of these behaviors can be demonstrated to have relevance for the survival of the whooping cranes after release then it may be possible to establish behavioral interventions to increase the frequencies of such behavior, so that they are perpetuated after release.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Applied Animal Behaviour Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.applanim.2004.12.004","collaboration":"6383_Kreger.pdf","usgsCitation":"Kreger, M., Hatfield, J., Estevez, I., Gee, G., and Clugston, D., 2005, The effects of captive rearing on the behavior of newly-released whooping cranes (Grus americana): Applied Animal Behaviour Science, v. 93, no. 1-2, p. 165-178, https://doi.org/10.1016/j.applanim.2004.12.004.","productDescription":"165-178","startPage":"165","endPage":"178","numberOfPages":"14","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":17299,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1016/j.applanim.2004.12.004","linkFileType":{"id":5,"text":"html"}},{"id":201727,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65e0f6","contributors":{"authors":[{"text":"Kreger, M.D.","contributorId":25664,"corporation":false,"usgs":true,"family":"Kreger","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":341775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatfield, Jeff S.","contributorId":41372,"corporation":false,"usgs":true,"family":"Hatfield","given":"Jeff S.","affiliations":[],"preferred":false,"id":341776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Estevez, I.","contributorId":98417,"corporation":false,"usgs":true,"family":"Estevez","given":"I.","email":"","affiliations":[],"preferred":false,"id":341778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, G.F.","contributorId":70335,"corporation":false,"usgs":true,"family":"Gee","given":"G.F.","email":"","affiliations":[],"preferred":false,"id":341777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clugston, D.A.","contributorId":19657,"corporation":false,"usgs":true,"family":"Clugston","given":"D.A.","email":"","affiliations":[],"preferred":false,"id":341774,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224463,"text":"5224463 - 2005 - Fine-scale spatial variation in plant species richness and its relationship to environmental conditions in coastal marshlands","interactions":[],"lastModifiedDate":"2019-10-24T13:33:09","indexId":"5224463","displayToPublicDate":"2010-06-16T12:18:46","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale spatial variation in plant species richness and its relationship to environmental conditions in coastal marshlands","docAbstract":"<p><span>Previous studies have shown that variations in environmental conditions play a major role in explaining variations in plant species richness at community and landscape scales. In this study, we considered the degree to which fine-scale spatial variations in richness could be related to fine-scale variations in abiotic and biotic factors. To examine spatial variation in richness, grids of 1&nbsp;m</span><sup>2</sup><span>&nbsp;plots were laid out at five sites within a coastal riverine wetland landscape. At each site, a 5&nbsp;×&nbsp;7 array of plots was established adjacent to the river’s edge with plots one meter apart. In addition to the estimation of species richness, environmental measurements included sediment salinity, plot microelevation, percent of plot recently disturbed, and estimated community biomass. Our analysis strategy was to combine the use of structural equation modeling (path modeling) with an assessment of spatial association. Mantel’s tests revealed significant spatial autocorrelation in species richness at four of the five sites sampled, indicating that richness in a plot correlated with the richness of nearby plots. We subsequently considered the degree to which spatial autocorrelations in richness could be explained by spatial autocorrelations in environmental conditions. Once data were corrected for environmental correlations, spatial autocorrelation in residual species richness could not be detected at any site. Based on these results, we conclude that in this coastal wetland, there appears to be a fine-scale mapping of diversity to microgradients in environmental conditions.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11258-004-2486-7","usgsCitation":"Mancera, J., Meche, G., Cardona-Olarte, P., Castaneda-Moya, E., Chiasson, R., Geddes, N., Schile, L., Wang, H., Guntenspergen, G., and Grace, J., 2005, Fine-scale spatial variation in plant species richness and its relationship to environmental conditions in coastal marshlands: Plant Ecology, v. 178, no. 1, p. 39-50, https://doi.org/10.1007/s11258-004-2486-7.","productDescription":"12 p.","startPage":"39","endPage":"50","numberOfPages":"12","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202324,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17295,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://commerce.metapress.com/content/p44510055574mg6w/resource-secured/?target=fulltext.pdf&sid=rilpgffuajt4gzqrblrdtqvr&sh=www.springerlink.com","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Louisiana","otherGeospatial":"Pearl River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.77752685546875,\n              30.135626231134587\n            ],\n            [\n              -89.53033447265625,\n              30.135626231134587\n            ],\n            [\n              -89.53033447265625,\n              30.44748978060767\n            ],\n            [\n              -89.77752685546875,\n              30.44748978060767\n            ],\n            [\n              -89.77752685546875,\n              30.135626231134587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"178","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f474d","contributors":{"authors":[{"text":"Mancera, J.E.","contributorId":42332,"corporation":false,"usgs":true,"family":"Mancera","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":341759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meche, G.C.","contributorId":29930,"corporation":false,"usgs":true,"family":"Meche","given":"G.C.","email":"","affiliations":[],"preferred":false,"id":341755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cardona-Olarte, P.P.","contributorId":41941,"corporation":false,"usgs":true,"family":"Cardona-Olarte","given":"P.P.","email":"","affiliations":[],"preferred":false,"id":341757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castaneda-Moya, E.","contributorId":7814,"corporation":false,"usgs":true,"family":"Castaneda-Moya","given":"E.","affiliations":[],"preferred":false,"id":341753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiasson, R.L.","contributorId":41942,"corporation":false,"usgs":true,"family":"Chiasson","given":"R.L.","email":"","affiliations":[],"preferred":false,"id":341758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geddes, N.A.","contributorId":22473,"corporation":false,"usgs":true,"family":"Geddes","given":"N.A.","email":"","affiliations":[],"preferred":false,"id":341754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schile, L.M.","contributorId":68013,"corporation":false,"usgs":true,"family":"Schile","given":"L.M.","affiliations":[],"preferred":false,"id":341760,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wang, H.G.","contributorId":72500,"corporation":false,"usgs":true,"family":"Wang","given":"H.G.","email":"","affiliations":[],"preferred":false,"id":341761,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guntenspergen, G.R. 0000-0002-8593-0244","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":95424,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"G.R.","affiliations":[],"preferred":false,"id":341762,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grace, J.B. 0000-0001-6374-4726","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":38938,"corporation":false,"usgs":true,"family":"Grace","given":"J.B.","affiliations":[],"preferred":false,"id":341756,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":5224451,"text":"5224451 - 2005 - Correlates of vernal pool occurrence in the Massachusetts USA, landscape","interactions":[],"lastModifiedDate":"2022-06-06T15:42:39.15594","indexId":"5224451","displayToPublicDate":"2010-06-16T12:18:45","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Correlates of vernal pool occurrence in the Massachusetts USA, landscape","docAbstract":"<p><span>Vernal pool wetlands are at risk of destruction across the northeast United States, due in part to their diminutive size and short hydroperiolds. These characteristics make it difficult to locate vernal pool habitats in the landscape during much of the year, and no efficient method exists for predicting their occurrence. A logistic regression procedure was used to identify large-scale variables that influence the presence of a potential vernal pool, including surficial geology, land use and land cover, soil classification, topography, precipitation, and surficial hydrologic features. The model was validated with locations of field-verified vernal pools. The model demonstrated that the probability of potential vernal pool occurrence is positively related to slope, negatively related to till/bedrock surficial geology, and negatively related to the proportion of cropland, urban/commercial, and high density residential development in the landscape. The relationship between vernal pool occurrence and large-scale variables suggests that these habitats do not occur at random in the landscape, and thus, protection</span><i>in situ</i><span>&nbsp;should be considered.</span></p>","language":"English","publisher":"Springer","doi":"10.1672/22","usgsCitation":"Campbell Grant, E.H., 2005, Correlates of vernal pool occurrence in the Massachusetts USA, landscape: Wetlands, v. 25, no. 2, p. 480-487, https://doi.org/10.1672/22.","productDescription":"8 p.","startPage":"480","endPage":"487","numberOfPages":"8","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202501,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"25","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad7e4b07f02db684643","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341715,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":5224438,"text":"5224438 - 2005 - Modelling occurrence and abundance of species when detection is imperfect","interactions":[],"lastModifiedDate":"2022-05-27T16:37:34.57351","indexId":"5224438","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Modelling occurrence and abundance of species when detection is imperfect","docAbstract":"<p><span>Relationships between species abundance and occupancy are of considerable interest in metapopulation biology and in macroecology. Such relationships may be described concisely using probability models that characterize variation in abundance of a species. However, estimation of the parameters of these models in most ecological problems is impaired by imperfect detection. When organisms are detected imperfectly, observed counts are biased estimates of true abundance, and this induces bias in stated occupancy or occurrence probability. In this paper we consider a class of models that enable estimation of abundance/occupancy relationships from counts of organisms that result from surveys in which detection is imperfect. Under such models, parameter estimation and inference are based on conventional likelihood methods. We provide an application of these models to geographically extensive breeding bird survey data in which alternative models of abundance are considered that include factors that influence variation in abundance and detectability. Using these models, we produce estimates of abundance and occupancy maps that honor important sources of spatial variation in avian abundance and provide clearly interpretable characterizations of abundance and occupancy adjusted for imperfect detection.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/j.0030-1299.2005.13534.x","usgsCitation":"Royle, J., Nichols, J.D., and Kery, M., 2005, Modelling occurrence and abundance of species when detection is imperfect: Oikos, v. 110, no. 2, p. 353-359, https://doi.org/10.1111/j.0030-1299.2005.13534.x.","productDescription":"7 p.","startPage":"353","endPage":"359","numberOfPages":"7","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201973,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2005-05-13","publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699754","contributors":{"authors":[{"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":341676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341674,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kery, Marc","contributorId":38680,"corporation":false,"usgs":true,"family":"Kery","given":"Marc","affiliations":[],"preferred":false,"id":341675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":5224446,"text":"5224446 - 2005 - Efficient statistical mapping of avian count data","interactions":[],"lastModifiedDate":"2021-07-09T20:30:48.888533","indexId":"5224446","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Efficient statistical mapping of avian count data","docAbstract":"<p><span>We develop a spatial modeling framework for count data that is efficient to implement in high-dimensional prediction problems. We consider spectral parameterizations for the spatially varying mean of a Poisson model. The spectral parameterization of the spatial process is very computationally efficient, enabling effective estimation and prediction in large problems using Markov chain Monte Carlo techniques. We apply this model to creating avian relative abundance maps from North American Breeding Bird Survey (BBS) data. Variation in the ability of observers to count birds is modeled as spatially independent noise, resulting in over-dispersion relative to the Poisson assumption. This approach represents an improvement over existing approaches used for spatial modeling of BBS data which are either inefficient for continental scale modeling and prediction or fail to accommodate important distributional features of count data thus leading to inaccurate accounting of prediction uncertainty.</span></p>","language":"English","publisher":"SpringerLink","doi":"10.1007/s10651-005-1043-4","usgsCitation":"Royle, J., and Wikle, C.K., 2005, Efficient statistical mapping of avian count data: Environmental and Ecological Statistics, v. 12, no. 2, p. 225-243, https://doi.org/10.1007/s10651-005-1043-4.","productDescription":"19 p.","startPage":"225","endPage":"243","numberOfPages":"19","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":196264,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a26e4b07f02db60f3ed","contributors":{"authors":[{"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":341701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wikle, C. K.","contributorId":57975,"corporation":false,"usgs":true,"family":"Wikle","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":341700,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224444,"text":"5224444 - 2005 - Effects of forest structure and composition on food availability for Varecia variegata at Ranomafana National Park, Madagascar","interactions":[],"lastModifiedDate":"2012-02-02T00:15:32","indexId":"5224444","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":731,"text":"American Journal of Primatology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of forest structure and composition on food availability for Varecia variegata at Ranomafana National Park, Madagascar","docAbstract":"We present a summary of a long-term field study that examined the effects of forest disturbance on the availability of palatable fruit and its utilization by V. variegata.  Forest structure and tree species composition were measured in three adjacent study areas, with different histories of disturbance, in Ranomafana National Park (RNP), Madagascar. V. variegata abundance was monitored by frequent encounters with resident groups and periodic censuses conducted along trails.  Finally, the abundance of mature fruit in species used by V. variegata was scored monthly at representative trees at several locations.  V. variegata abundance was most consistent in the least anthropogenically disturbed site, while no established lemur groups were observed in the heavily logged site for over a decade post-harvest.  Lemur abundance was variable in the selectively logged site.  The presence of select food trees, particularly specimens with voluminous crowns capable of producing abundant fruit crops, appears to be key to the establishment and expansion of V variegata groups.  Our analysis of year-long fruit utilization revealed a high degree of preference for several species of trees.  Two species exhibited mature fruit in a low percentage of stems but were available for a protracted period of time, while two additional species showed high intraspecific fruiting synchrony and were available for a shorter period of time.  These contrasting phenologies, rather than the individual tree species, may be most important to V. variegata due to their coincident timing of fruit maturation with key lemur life-history events.  Any disturbance-natural or anthropogenic-that disrupts the phenology cycles of food trees has the potential to impact lemur abundance and dispersion. Intense disturbances, such as heavy logging or severe cyclones, have long-lasting impacts on fruit production, while selective logging or moderate cyclonic windthrow cause more transient impacts.  V. variegata is adapted to deal with an intrinsically erratic food supply by virtue of its reproductive biology and social behavior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"American Journal of Primatology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/ajp.20127","collaboration":"6347_Balko.pdf","usgsCitation":"Balko, E., and Underwood, H., 2005, Effects of forest structure and composition on food availability for Varecia variegata at Ranomafana National Park, Madagascar: American Journal of Primatology, v. 66, no. 1, p. 45-70, https://doi.org/10.1002/ajp.20127.","productDescription":"45-70","startPage":"45","endPage":"70","numberOfPages":"26","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":17229,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1002/ajp.20127","linkFileType":{"id":5,"text":"html"}},{"id":202136,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"1","noUsgsAuthors":false,"publicationDate":"2005-05-16","publicationStatus":"PW","scienceBaseUri":"4f4e4a2ee4b07f02db615457","contributors":{"authors":[{"text":"Balko, E.A.","contributorId":98017,"corporation":false,"usgs":true,"family":"Balko","given":"E.A.","affiliations":[],"preferred":false,"id":341695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Underwood, H.B. 0000-0002-2064-9128","orcid":"https://orcid.org/0000-0002-2064-9128","contributorId":90849,"corporation":false,"usgs":true,"family":"Underwood","given":"H.B.","affiliations":[],"preferred":false,"id":341694,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224442,"text":"5224442 - 2005 - Pathogenicity of <i>Metarhizium anisopliae</i> (Deuteromycetes) and permethrin to <i>Ixodes scapularis</i> (Acari: Ixodidae) nymphs","interactions":[],"lastModifiedDate":"2016-12-07T13:19:54","indexId":"5224442","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1610,"text":"Experimental and Applied Acarology","active":true,"publicationSubtype":{"id":10}},"title":"Pathogenicity of <i>Metarhizium anisopliae</i> (Deuteromycetes) and permethrin to <i>Ixodes scapularis</i> (Acari: Ixodidae) nymphs","docAbstract":"<p><span>Effectiveness of the entomopathogenic fungus </span><i class=\"EmphasisTypeItalic \">Metarhizium anisopliae</i><span>, for controlling nymphal </span><i class=\"EmphasisTypeItalic \">Ixodes scapularis</i><span>, was tested in laboratory and field trials. In the laboratory, </span><i class=\"EmphasisTypeItalic \">M. anisopliae&nbsp;</i><span>(Metschnikoff) Sorokin strain ESC1 was moderately pathogenic, with an LC</span><sub>50</sub><span> of 10</span><sup>7</sup><span> spores/ml and induced 70% mortality at 10</span><sup>9</sup><span> spores/ml. In a field study, however, 10</span><sup>9</sup><span> spores/ml </span><i class=\"EmphasisTypeItalic \">M. anisopliae</i><span> did not effectively control questing </span><i class=\"EmphasisTypeItalic \">I. scapularis</i><span> nymphs, and significant differences were not detected in pre- and post-treatment densities. For nymphs collected and returned to the laboratory for observation, mortality was low in treatment groups, ranging from 20 to 36%. To assess whether a chemical acaricide would synergistically enhance pathogenicity of the fungus, we challenged unfed nymphal </span><i class=\"EmphasisTypeItalic \">I. scapularis</i><span> with combinations of </span><i class=\"EmphasisTypeItalic \">M. anisopliae</i><span> and permethrin, a relatively safe pyrethroid acaricide, in two separate bioassays. Significant interactions between </span><i class=\"EmphasisTypeItalic \">M. anisopliae</i><span> and permethrin were not observed, supporting neither synergism nor antagonism.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10493-004-5437-z","usgsCitation":"Hornbostel, V., Zhioua, E., Benjamin, M.A., Ginsberg, H.S., and Ostfeld, R.S., 2005, Pathogenicity of <i>Metarhizium anisopliae</i> (Deuteromycetes) and permethrin to <i>Ixodes scapularis</i> (Acari: Ixodidae) nymphs: Experimental and Applied Acarology, v. 35, no. 4, p. 301-316, https://doi.org/10.1007/s10493-004-5437-z.","productDescription":"16 p.","startPage":"301","endPage":"316","numberOfPages":"16","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":487129,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/165","text":"External Repository"},{"id":202259,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b28e4b07f02db6b1677","contributors":{"authors":[{"text":"Hornbostel, V.L.","contributorId":107402,"corporation":false,"usgs":true,"family":"Hornbostel","given":"V.L.","email":"","affiliations":[],"preferred":false,"id":341692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benjamin, Michael A.","contributorId":177232,"corporation":false,"usgs":false,"family":"Benjamin","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":13654,"text":"Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":341691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":341690,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostfeld, Richard S.","contributorId":64800,"corporation":false,"usgs":true,"family":"Ostfeld","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":341688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224441,"text":"5224441 - 2005 - Estimating size and composition of biological communities by modeling the occurrence of species","interactions":[],"lastModifiedDate":"2022-05-25T13:18:26.496994","indexId":"5224441","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2527,"text":"Journal of the American Statistical Association","active":true,"publicationSubtype":{"id":10}},"title":"Estimating size and composition of biological communities by modeling the occurrence of species","docAbstract":"<p><span>We develop a model that uses repeated observations of a biological community to estimate the number and composition of species in the community. Estimators of community-level attributes are constructed from model-based estimators of occurrence of individual species that incorporate imperfect detection of individuals. Data from the North American Breeding Bird Survey are analyzed to illustrate the variety of ecologically important quantities that are easily constructed and estimated using our model-based estimators of species occurrence. In particular, we compute site-specific estimates of species richness that honor classical notions of species-area relationships. We suggest extensions of our model to estimate maps of occurrence of individual species and to compute inferences related to the temporal and spatial dynamics of biological communities.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1198/016214505000000015","usgsCitation":"Dorazio, R., and Royle, J., 2005, Estimating size and composition of biological communities by modeling the occurrence of species: Journal of the American Statistical Association, v. 100, no. 470, p. 389-398, https://doi.org/10.1198/016214505000000015.","productDescription":"10 p.","startPage":"389","endPage":"398","numberOfPages":"10","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":196219,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"470","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db648670","contributors":{"authors":[{"text":"Dorazio, Robert 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":149286,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":341686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":341687,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":5224440,"text":"5224440 - 2005 - Reservoir competence of native North American birds for the Lyme disease spirochete, Borrelia burgdorferi","interactions":[],"lastModifiedDate":"2022-05-24T15:41:33.185782","indexId":"5224440","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reservoir competence of native North American birds for the Lyme disease spirochete, <i>Borrelia burgdorferi</i>","title":"Reservoir competence of native North American birds for the Lyme disease spirochete, Borrelia burgdorferi","docAbstract":"<p class=\"p1\"><span>Reservoir competence for the Lyme disease spirochete,&nbsp;</span><i>Borrelia burgdorferi</i><span>, was tested for six species of native North American birds: American robin, gray catbird, brown thrasher, eastern towhee, song sparrow, and northern cardinal. Wild birds collected by mist netting on Fire Island, NY, were held in a field laboratory in cages over water and locally collected larval ticks were placed on the birds, harvested from the water after engorgement, and tested for infection by direct fluorescent-antibody staining after molting to the nymphal stage. American robins were competent reservoirs, infecting 16.1% of larvae applied to wild-caught birds, compared with 0% of control ticks placed on uninfected laboratory mice. Robins that were previously infected in the laboratory by nymphal feeding infected 81.8% of applied larvae. Wild-caught song sparrows infected 4.8% of applied larvae and 21.1% when infected by nymphal feeding. Results suggest moderate levels of reservoir competence for northern cardinals, lower levels for gray catbirds, and little evidence of reservoir competence for eastern towhees or brown thrashers. Lower infection rates in larvae applied to wild-caught birds compared with birds infected in the laboratory suggest that infected birds display temporal variability in infectiousness to larval ticks. Engorged larvae drop from birds abundantly during daylight, so the abundance of these bird species in the peridomestic environment suggests that they might contribute infected ticks to lawns and gardens.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmedent/42.3.445","usgsCitation":"Ginsberg, H.S., Buckley, P.A., Balmforth, M.G., Zhioua, E., Mitra, S., and Buckley, F.G., 2005, Reservoir competence of native North American birds for the Lyme disease spirochete, Borrelia burgdorferi: Journal of Medical Entomology, v. 42, no. 3, p. 445-449, https://doi.org/10.1093/jmedent/42.3.445.","productDescription":"5 p.","startPage":"445","endPage":"449","numberOfPages":"5","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmedent/42.3.445","text":"Publisher Index Page"},{"id":202258,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2005-05-01","publicationStatus":"PW","scienceBaseUri":"4f4e4ac7e4b07f02db67b142","contributors":{"authors":[{"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":341681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buckley, P. A.","contributorId":69264,"corporation":false,"usgs":true,"family":"Buckley","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":341683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balmforth, Maxon G.","contributorId":31090,"corporation":false,"usgs":true,"family":"Balmforth","given":"Maxon","email":"","middleInitial":"G.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":341682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":341680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitra, Shaibal","contributorId":177242,"corporation":false,"usgs":false,"family":"Mitra","given":"Shaibal","email":"","affiliations":[{"id":12576,"text":"College of Staten Island, Staten Island, New York","active":true,"usgs":false}],"preferred":false,"id":341685,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buckley, Francine G.","contributorId":111375,"corporation":false,"usgs":true,"family":"Buckley","given":"Francine","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":341684,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":5224420,"text":"5224420 - 2005 - Disturbance of eelgrass <i>Zostera marina</i> by commercial mussel <i>Mytilus edulis</i> harvesting in Maine: Dragging impacts and habitat recovery","interactions":[],"lastModifiedDate":"2016-10-27T11:30:29","indexId":"5224420","displayToPublicDate":"2010-06-16T12:18:44","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Disturbance of eelgrass <i>Zostera marina</i> by commercial mussel <i>Mytilus edulis</i> harvesting in Maine: Dragging impacts and habitat recovery","docAbstract":"<p><span>We studied the effects of commercial harvest of blue mussels </span><i>Mytilus edulis</i><span> on eelgrass </span><i>Zostera marina </i><span>L. in Maquoit Bay, Maine, USA, at a hierarchy of scales. We used aerial photography, underwater video, and eelgrass population- and shoot-based measurements to quantify dragging impacts within 4 sites that had been disturbed at different times over an approximate 7 yr interval, and to project eelgrass meadow recovery rates. Dragging had disturbed 10% of the eelgrass cover in Maquoit Bay, with dragged sites ranging from 3.4 to 31.8 ha in size. Dragging removed above- and belowground plant material from the majority of the bottom in the disturbed sites. One year following dragging, eelgrass shoot density, shoot height and total biomass of disturbed sites averaged respectively 2 to 3%, 46 to 61% and &lt;1% that of the reference sites. Substantial differences in eelgrass biomass persisted between disturbed and reference sites up to 7 yr after dragging. Dragging did not affect physical characteristics of the sediment. The pattern and rate of eelgrass bed recovery depended strongly on initial dragging intensity; areas of relatively light dragging with many remnant eelgrass patches (i.e. patches that were missed by the mussel dredge) showed considerable revegetation in 1 yr. However, by developing recovery trajectories from measurements at sites disturbed in different years, we projected that it would require a mean of 10.6 yr for recovery of eelgrass shoot density within the areas of intense dragging characterizing most of the disturbed sites. A spatial simulation model based on measured rates of lateral patch-expansion (mean 12.5 cm yr</span><sup>-1</sup><span>) and new-patch recruitment (mean 0.19 patches m</span><sup>-2</sup><span> yr</span><sup>-1</sup><span>) yielded a mean bed recovery time of 9 to 11 yr following dragging, depending on initial degree of plant removal. Model simulations suggested that with favorable environmental conditions, eelgrass beds might recover from dragging disturbance in 6 yr; conversely, recovery under conditions less conducive to eelgrass growth could require 20 yr or longer. This study shows that mussel dragging poses a severe threat to eelgrass in this region and that regulations to protect eelgrass from dragging impacts would maintain the integrity of a substantial amount of habitat.</span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/meps285057","usgsCitation":"Neckles, H.A., Short, F.T., Barker, S., and Kopp, B.S., 2005, Disturbance of eelgrass <i>Zostera marina</i> by commercial mussel <i>Mytilus edulis</i> harvesting in Maine: Dragging impacts and habitat recovery: Marine Ecology Progress Series, v. 285, p. 57-73, https://doi.org/10.3354/meps285057.","productDescription":"17 p.","startPage":"57","endPage":"73","numberOfPages":"17","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":477625,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps285057","text":"Publisher Index Page"},{"id":202225,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"285","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4789e4b07f02db4873e1","contributors":{"authors":[{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Short, Frederick T.","contributorId":72078,"corporation":false,"usgs":true,"family":"Short","given":"Frederick","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":341630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barker, Seth","contributorId":41536,"corporation":false,"usgs":true,"family":"Barker","given":"Seth","email":"","affiliations":[],"preferred":false,"id":341632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kopp, Blaine S.","contributorId":99648,"corporation":false,"usgs":true,"family":"Kopp","given":"Blaine","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":341631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":5224413,"text":"5224413 - 2005 - Effects of contaminant exposure on reproductive success of ospreys (Pandion haliaetus) nesting in Delaware River and Bay, USA","interactions":[],"lastModifiedDate":"2022-03-29T15:28:58.646629","indexId":"5224413","displayToPublicDate":"2010-06-16T12:18:43","publicationYear":"2005","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":"Effects of contaminant exposure on reproductive success of ospreys (<i>Pandion haliaetus</i>) nesting in Delaware River and Bay, USA","title":"Effects of contaminant exposure on reproductive success of ospreys (Pandion haliaetus) nesting in Delaware River and Bay, USA","docAbstract":"<p><span>Despite serious water-quality problems and pollutant loading and retention, Delaware River and Bay(USA) provide important wildlife habitat. In 2002, we conducted a comprehensive evaluation of contaminant exposure and reproduction of ospreys (</span><i>Pandion haliaetus</i><span>) breeding in Delaware River and Bay. Sample eggs were collected from 39 nests and analyzed for organochlorine pesticides, polychlorinated biphenyls (PCBs), and mercury; a subset of 15 eggs was analyzed for perfluorinated compounds and polybrominated diphenyl ethers (PBDEs). The fate of each nest was monitored weekly. Concentrations of 10 organochlorine pesticides or metabolites, total PCBs, and several toxic PCB congeners were greater (</span><i>p</i><span>&nbsp;&lt; 0.05) in eggs collected between the Chesapeake and Delaware Canal (C and D Canal) and Trenton (Delaware River and northern Bay) compared to other sites. Concentrations of&nbsp;</span><i>p,p</i><span>′-dichlorodiphenyldichloroethylene (</span><i>p,p</i><span>′-DDE; 0.785–3.84 μg/g wet wt) and total PCBs (5.50–14.5 μg/g wet wt) in eggs collected between the C and D Canal and Trenton were similar to levels recently found in the Chesapeake Bay. In all study segments, at least one young fledged from 66 to 75% of nests. Productivity for Delaware Inland Bays (reference area) and southern Delaware Bay was 1.17 and 1.42 fledglings/active nest, respectively; north of the C and D Canal, productivity was 1.00 fledgling/active nest, which is marginally adequate to maintain the population. Using these data, a logistic regression model found that contaminant concentrations (</span><i>p,p</i><span>′-DDE, heptachlor epoxide, chlordane and metabolites, and total PCBs) were predictive of hatching success. Several perfluorinated compounds and PBDEs were detected in eggs at concentrations approaching 1 μg/g wet weight. These findings provide evidence that contaminants continue to be a significant stressor on osprey productivity in the northern Delaware River and Bay.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1897/04-141R.1","usgsCitation":"Toschik, P.C., Rattner, B., McGowan, P.C., Christman, M.C., Carter, D.B., Hale, R., Matson, C.W., and Ottinger, M.A., 2005, Effects of contaminant exposure on reproductive success of ospreys (Pandion haliaetus) nesting in Delaware River and Bay, USA: Environmental Toxicology and Chemistry, v. 24, no. 3, p. 617-628, https://doi.org/10.1897/04-141R.1.","productDescription":"12 p.","startPage":"617","endPage":"628","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201848,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania,","otherGeospatial":"Delaware Bay, Delaware River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.739990234375,\n              39.14710270770074\n            ],\n            [\n              -75.34423828125,\n              39.690280594818034\n            ],\n            [\n              -74.586181640625,\n              40.25437660372649\n            ],\n            [\n              -74.761962890625,\n              40.421860362045194\n            ],\n            [\n              -75.772705078125,\n              39.80853604144591\n            ],\n            [\n              -75.684814453125,\n              39.2832938689385\n            ],\n            [\n              -75.146484375,\n              38.41055825094609\n            ],\n            [\n              -74.739990234375,\n              39.14710270770074\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"24","issue":"3","noUsgsAuthors":false,"publicationDate":"2005-03-01","publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db6238c2","contributors":{"authors":[{"text":"Toschik, P. C.","contributorId":18879,"corporation":false,"usgs":true,"family":"Toschik","given":"P.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":341604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rattner, Barnett A. 0000-0003-3676-2843","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":95843,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":341609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, P. C.","contributorId":67191,"corporation":false,"usgs":false,"family":"McGowan","given":"P.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":341608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christman, M. C.","contributorId":55122,"corporation":false,"usgs":true,"family":"Christman","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":341607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carter, Daniel B.","contributorId":18880,"corporation":false,"usgs":true,"family":"Carter","given":"Daniel","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":341605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hale, R. C.","contributorId":11309,"corporation":false,"usgs":true,"family":"Hale","given":"R. C.","affiliations":[],"preferred":false,"id":341603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matson, C. W.","contributorId":24717,"corporation":false,"usgs":true,"family":"Matson","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":341606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ottinger, M. A.","contributorId":99078,"corporation":false,"usgs":true,"family":"Ottinger","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":341610,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":5224398,"text":"5224398 - 2005 - Assessing spatial coupling in complex population dynamics using mutual prediction and continuity statistics","interactions":[],"lastModifiedDate":"2012-02-02T00:15:32","indexId":"5224398","displayToPublicDate":"2010-06-16T12:18:42","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3593,"text":"Theoretical Population Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing spatial coupling in complex population dynamics using mutual prediction and continuity statistics","docAbstract":"A number of important questions in ecology involve the possibility of interactions or ?coupling? among potential components of ecological systems.  The basic question of whether two components are coupled (exhibit dynamical interdependence) is relevant to investigations of movement of animals over space, population regulation, food webs and trophic interactions, and is also useful in the design of monitoring programs.  For example, in spatially extended systems, coupling among populations in different locations implies the existence of redundant information in the system and the possibility of exploiting this redundancy in the development of spatial sampling designs.  One approach to the identification of coupling involves study of the purported mechanisms linking system components.  Another approach is based on time series of two potential components of the same system and, in previous ecological work, has relied on linear cross-correlation analysis.  Here we present two different attractor-based approaches, continuity and mutual prediction, for determining the degree to which two population time series (e.g., at different spatial locations) are coupled.  Both approaches are demonstrated on a one-dimensional predator?prey model system exhibiting complex dynamics.  Of particular interest is the spatial asymmetry introduced into the model as linearly declining resource for the prey over the domain of the spatial coordinate.  Results from these approaches are then compared to the more standard cross-correlation analysis.  In contrast to cross-correlation, both continuity and mutual prediction are clearly able to discern the asymmetry in the flow of information through this system.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Theoretical Population Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1016/j.tpb.2004.08.004","collaboration":"6274_Nichols.pdf  1.9 MB","usgsCitation":"Nichols, J., Moniz, L., Nichols, J., Pecora, L., and Cooch, E., 2005, Assessing spatial coupling in complex population dynamics using mutual prediction and continuity statistics: Theoretical Population Biology, v. 67, no. 1, p. 9-21, https://doi.org/10.1016/j.tpb.2004.08.004.","productDescription":"9-21","startPage":"9","endPage":"21","numberOfPages":"13","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":202223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":17160,"rank":200,"type":{"id":11,"text":"Document"},"url":"https://dx.doi.org/10.1016/j.tpb.2004.08.004","linkFileType":{"id":5,"text":"html"}}],"volume":"67","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4abbe4b07f02db672a56","contributors":{"authors":[{"text":"Nichols, J.M.","contributorId":18080,"corporation":false,"usgs":true,"family":"Nichols","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":341556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moniz, L.","contributorId":92783,"corporation":false,"usgs":true,"family":"Moniz","given":"L.","email":"","affiliations":[],"preferred":false,"id":341558,"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":341555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pecora, L.M.","contributorId":34236,"corporation":false,"usgs":true,"family":"Pecora","given":"L.M.","email":"","affiliations":[],"preferred":false,"id":341557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooch, E.","contributorId":13353,"corporation":false,"usgs":true,"family":"Cooch","given":"E.","email":"","affiliations":[],"preferred":false,"id":341554,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":5224401,"text":"5224401 - 2005 - Individual quality, survival variation and patterns of phenotypic selection on body condition and timing of nesting in birds","interactions":[],"lastModifiedDate":"2022-05-27T16:28:21.390624","indexId":"5224401","displayToPublicDate":"2010-06-16T12:18:42","publicationYear":"2005","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Individual quality, survival variation and patterns of phenotypic selection on body condition and timing of nesting in birds","docAbstract":"<p><span>Questions about individual variation in “quality” and fitness are of great interest to evolutionary and population ecologists. Such variation can be investigated using either a random effects approach or an approach that relies on identifying observable traits that are themselves correlated with fitness components. We used the latter approach with data from 1,925 individual females of three species of ducks (tufted duck,&nbsp;</span><i>Aythya fuligula</i><span>; common pochard,&nbsp;</span><i>Aythya ferina</i><span>; northern shoveler,&nbsp;</span><i>Anas clypeata</i><span>) sampled on their breeding grounds at Engure Marsh, Latvia, for over 15&nbsp;years. Based on associations with reproductive output, we selected two traits, one morphological (relative body condition) and one behavioral (relative time of nesting), that can be used to characterize individual females over their lifetimes. We then asked whether these traits were related to annual survival probabilities of nesting females. We hypothesized quadratic, rather than monotonic, relationships based loosely on ideas about the likely action of stabilizing selection on these two traits. Parameters of these relationships were estimated directly using ultrastructural models embedded within capture-recapture-band-recovery models. Results provided evidence that both traits were related to survival in the hypothesized manner. For all three species, females that tended to nest earlier than the norm exhibited the highest survival rates, but very early nesters experienced reduced survival and late nesters showed even lower survival. For shovelers, females in average body condition showed the highest survival, with lower survival rates exhibited by both heavy and light birds. For common pochard and tufted duck, the highest survival rates were associated with birds of slightly above-average condition, with somewhat lower survival for very heavy birds and much lower survival for birds in relatively poor condition. Based on results from this study and previous work on reproduction, we conclude that nest initiation date and body condition covary with both reproductive and survival components of fitness. These associations lead to a positive covariance of these two fitness components within individuals and to the conclusion that these two traits are indeed correlates of individual quality.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00442-004-1794-x","usgsCitation":"Blums, P., Nichols, J.D., Hines, J.E., Lindberg, M., and Mednis, A., 2005, Individual quality, survival variation and patterns of phenotypic selection on body condition and timing of nesting in birds: Oecologia, v. 143, no. 3, p. 365-376, https://doi.org/10.1007/s00442-004-1794-x.","productDescription":"12 p.","startPage":"365","endPage":"376","numberOfPages":"12","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":201975,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","issue":"3","noUsgsAuthors":false,"publicationDate":"2005-01-19","publicationStatus":"PW","scienceBaseUri":"4f4e49f2e4b07f02db5ef2a9","contributors":{"authors":[{"text":"Blums, Peter","contributorId":25652,"corporation":false,"usgs":false,"family":"Blums","given":"Peter","email":"","affiliations":[],"preferred":false,"id":341562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":341563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindberg, Mark S.","contributorId":89466,"corporation":false,"usgs":false,"family":"Lindberg","given":"Mark S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":341564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mednis, Aivars","contributorId":73695,"corporation":false,"usgs":false,"family":"Mednis","given":"Aivars","email":"","affiliations":[],"preferred":false,"id":341565,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}