Institution
Patuxent Wildlife Research Center
About: Patuxent Wildlife Research Center is a based out in . It is known for research contribution in the topics: Population & Occupancy. The organization has 488 authors who have published 1657 publications receiving 101024 citations. The organization is also known as: PWRC & USGS Patuxent Wildlife Research Center.
Topics: Population, Occupancy, Species richness, Habitat, Wetland
Papers published on a yearly basis
Papers
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United Nations Environment Programme1, BirdLife International2, Zoological Society of London3, Statistics Netherlands4, University of North Carolina at Chapel Hill5, Old Dominion University6, Conservation International7, Food and Agriculture Organization8, University of Virginia9, Royal Society for the Protection of Birds10, University of Queensland11, University of Cambridge12, National Center for Atmospheric Research13, World Wide Fund for Nature14, South African National Parks15, UNESCO16, University of British Columbia17, Tata Institute of Fundamental Research18, The Nature Conservancy19, Patuxent Wildlife Research Center20, American Bird Conservancy21, Stellenbosch University22, International Union for Conservation of Nature and Natural Resources23
TL;DR: Most indicators of the state of biodiversity showed declines, with no significant recent reductions in rate, whereas indicators of pressures on biodiversity showed increases, indicating that the Convention on Biological Diversity’s 2010 targets have not been met.
Abstract: In 2002, world leaders committed, through the Convention on Biological Diversity, to achieve a significant reduction in the rate of biodiversity loss by 2010. We compiled 31 indicators to report on progress toward this target. Most indicators of the state of biodiversity (covering species' population trends, extinction risk, habitat extent and condition, and community composition) showed declines, with no significant recent reductions in rate, whereas indicators of pressures on biodiversity (including resource consumption, invasive alien species, nitrogen pollution, overexploitation, and climate change impacts) showed increases. Despite some local successes and increasing responses (including extent and biodiversity coverage of protected areas, sustainable forest management, policy responses to invasive alien species, and biodiversity-related aid), the rate of biodiversity loss does not appear to be slowing.
3,993 citations
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TL;DR: In this paper, a model and likelihood-based method for estimating site occupancy rates when detection probabilities are 0.3 was proposed for American toads (Bufo americanus) and spring peepers (Pseudacris crucifer).
Abstract: Nondetection of a species at a site does not imply that the species is absent unless the probability of detection is 1. We propose a model and likelihood-based method for estimating site occupancy rates when detection probabilities are 0.3). We estimated site occupancy rates for two anuran species at 32 wetland sites in Maryland, USA, from data collected during 2000 as part of an amphibian monitoring program, Frogwatch USA. Site occupancy rates were estimated as 0.49 for American toads (Bufo americanus), a 44% increase over the proportion of sites at which they were actually observed, and as 0.85 for spring peepers (Pseudacris crucifer), slightly above the observed proportion of 0.83.
3,918 citations
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TL;DR: Surveys of recent intentional releases of native birds and mammals to the wild in Australia, Canada, Hawaii, New Zealand, and the United States were conducted to document current activities, identify factors associated with success, and suggest guidelines for enhancing future work.
Abstract: Surveys of recent (1973 to 1986) intentional releases of native birds and mammals to the wild in Australia, Canada, Hawaii, New Zealand, and the United States were conducted to document current activities, identify factors associated with success, and suggest guidelines for enhancing future work. Nearly 700 translocations were conducted each year. Native game species constituted 90 percent of translocations and were more successful (86 percent) than were translocations of threatened, endangered, or sensitive species (46 percent). Knowledge of habitat quality, location of release area within the species range, number of animals released, program length, and reproductive traits allowed correct classification of 81 percent of observed translocations as successful or not.
1,774 citations
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TL;DR: In this article, the authors present a model that enables direct estimation of these parameters when the probability of detecting the species is less than 1. The model does not require any assumptions of process stationarity, as do some previous methods, but does require detection/nondetection data to be collected in a manner similar to Pollock's robust design as used in mark-recapture studies.
Abstract: Few species are likely to be so evident that they will always be detected when present. Failing to allow for the possibility that a target species was present, but undetected, at a site will lead to biased estimates of site occupancy, colonization, and local extinction probabilities. These population vital rates are often of interest in long-term monitoring programs and metapopulation studies. We present a model that enables direct estimation of these parameters when the probability of detecting the species is less than 1. The model does not require any assumptions of process stationarity, as do some previous methods, but does require detection/nondetection data to be collected in a manner similar to Pollock's robust design as used in mark-recapture studies. Via simulation, we show that the model provides good estimates of parameters for most scenarios considered. We illustrate the method with data from monitoring programs of Northern Spotted Owls ( Strix occiden- talis caurina) in northern California and tiger salamanders (Ambystoma tigrinum) in Min- nesota, USA.
1,506 citations
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Colorado State University1, The Nature Conservancy2, Cooperative Research Centre3, University of Washington4, Patuxent Wildlife Research Center5, United States Geological Survey6, United States Forest Service7, UNESCO-IHE Institute for Water Education8, University of the Witwatersrand9, International Water Management Institute10
TL;DR: The ecological limits of hydrologic alteration (ELOHA) as mentioned in this paper is a framework for assessing environmental flow needs for many streams and rivers simultaneously to foster development and implementation of environmental flow standards at the regional scale.
Abstract: SUMMARY 1. The flow regime is a primary determinant of the structure and function of aquatic and riparian ecosystems for streams and rivers. Hydrologic alteration has impaired riverine ecosystems on a global scale, and the pace and intensity of human development greatly exceeds the ability of scientists to assess the effects on a river-by-river basis. Current scientific understanding of hydrologic controls on riverine ecosystems and experience gained from individual river studies support development of environmental flow standards at the regional scale. 2. This paper presents a consensus view from a group of international scientists on a new framework for assessing environmental flow needs for many streams and rivers simultaneously to foster development and implementation of environmental flow standards at the regional scale. This framework, the ecological limits of hydrologic alteration (ELOHA), is a synthesis of a number of existing hydrologic techniques and environmental flow methods that are currently being used to various degrees and that can support comprehensive regional flow management. The flexible approach allows
1,408 citations
Authors
Showing all 488 results
Name | H-index | Papers | Citations |
---|---|---|---|
James D. Nichols | 92 | 336 | 40738 |
J. Andrew Royle | 75 | 226 | 22480 |
James E. Hines | 68 | 218 | 18882 |
John R. Sauer | 61 | 170 | 17710 |
Marc Kéry | 50 | 153 | 8893 |
Donald R. Cahoon | 50 | 97 | 10987 |
Rafael Mateo | 46 | 238 | 7091 |
Richard F. Shore | 46 | 210 | 6530 |
Thierry Boulinier | 45 | 135 | 9107 |
William A. Link | 43 | 103 | 8199 |
Michael C. Runge | 42 | 140 | 6961 |
Larissa L. Bailey | 41 | 123 | 7271 |
William L. Kendall | 41 | 100 | 6882 |
Glenn R. Guntenspergen | 38 | 103 | 6840 |
Gary H. Heinz | 37 | 94 | 5674 |