Estimating Decline and Distributional Change in Amphibians
By David Skelly, Kerry L. Yurewicz, E. Werner, Rick A. Relyea. 2003
113 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/d5f5bb4e25aaab978aa79d6b2daac76e6202dd6e
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In Ecological Modeling
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Citations in the corpus
- The amphibian decline crisis: A watershed for conservation biology? (2005, background): “Estimates of overall distributional changes are very sensitive to survey effort and require multipleyear resurveys for high confidence (Skelly et al., 2003).”
- Conservation Biology of Caecilian Amphibians (2005, background): “In addition to lack of published details on negative caecilian sampling mentioned previously and the need to consider resampling duration (Skelly et al. 2003), the baseline distribution data for almost all caecilian species are poor.”
- The chytrid fungus Batrachochytrium dendrobatidis is non‐randomly distributed across amphibian breeding habitats (2007, background): “Second, the shortage of long-term population trend data is a well-known problem in amphibian research (Pechmann et al., 1991; Skelly et al., 2003), and currently the threat status and population trends of approximately 23% of the world’s amphibian species cannot be assessed due to insufficient popul”
- RARITY, FRAGMENTATION, AND THE SCALE DEPENDENCE OF EXTINCTION RISK IN DESERT FISHES (2005, background): “…however, is a scale-dependent measure (Thomas and Abery 1995, Hartley and Kunin 2003), meaning that it may be valuable to view extinction dynamics from both a large network- or system-wide perspective and a local, site-by-site basis 3 E-mail: bfagan@glue.umd.edu (e.g., Skelly et al. 1999, 2003).”
- Population decline assessment, historical baselines, and conservation (2010, background): “While some studies have found an adequate correlation between population size and range size (Channell & Lomolino 2000), there is little consensus with regard to the accuracy of such inference (Skelly et al. 2003; Goehring et al. 2007).”