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John R. Sauer

Researcher at Patuxent Wildlife Research Center

Publications -  171
Citations -  19563

John R. Sauer is an academic researcher from Patuxent Wildlife Research Center. The author has contributed to research in topics: Population & Breeding bird survey. The author has an hindex of 61, co-authored 170 publications receiving 17710 citations. Previous affiliations of John R. Sauer include United States Geological Survey & United States Fish and Wildlife Service.

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Global Biodiversity: Indicators of Recent Declines

Stuart H. M. Butchart, +46 more
- 28 May 2010 - 
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.
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Decline of the North American avifauna

TL;DR: Using multiple and independent monitoring networks, population losses across much of the North American avifauna over 48 years are reported, including once-common species and from most biomes, demonstrating a continuing avifaunal crisis.
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Population declines in North American birds that migrate to the neotropics.

TL;DR: Neotropical migrant species that primarily use forested habitats in either wintering or breeding areas are declining, but a statistically significant association between habitat and population declines was detected only in the tropics.
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A double-observer approach for estimating detection probability and abundance from point counts

TL;DR: In this paper, a double-observer approach was applied to estimate detection probabilities for aerial surveys (Cook and Jacobson 1979) to avian point counts, where a designated primary observer indicates to another (secondary) observer all birds detected.
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Large scale wildlife monitoring studies: statistical methods for design and analysis

TL;DR: Basic concepts based on actual avian, amphibian, and fish monitoring studies are presented in this article and it is believed that the estimation of detection probability should be built into the monitoring design through a double sampling approach.