Filters: Tags: occupancy models (X) > partyWithName: Northeast CSC (X)
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Appropriate ecological indicators of climate change can be used to measure concurrent changes in ecological systems, inform management decisions, and potentially to project the consequences of climate change. However, many of the available indicators for North American birds do not account for imperfect observation. We proposed to use correlated-detection occupancy models to develop indicators from the North American Breeding Bird Survey data. The indicators were used to test hypotheses regarding changes in range and distribution of breeding birds. The results will support the Northeast Climate Science Center’s Science Agenda, including the science priority: researching ecological vulnerability and species response...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2014,
2014,
Birds,
Birds,
CASC,
Abstract (from https://www.ncbi.nlm.nih.gov/pubmed/26990459): There is intense interest in basic and applied ecology about the effect of global change on current and future species distributions. Projections based on widely used static modeling methods implicitly assume that species are in equilibrium with the environment and that detection during surveys is perfect. We used multiseason correlated detection occupancy models, which avoid these assumptions, to relate climate data to distributional shifts of Louisiana Waterthrush in the North American Breeding Bird Survey (BBS) data. We summarized these shifts with indices of range size and position and compared them to the same indices obtained using more basic modeling...
Categories: Publication;
Types: Citation;
Tags: Birds,
Louisiana Waterthrush,
Northeast CASC,
Parkesia motacilla,
Wildlife and Plants,
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