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Please use this identifier to cite or link to this item: http://hdl.handle.net/10023/685
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Title: The importance of analysis method for breeding bird survey population trend estimates
Authors: Thomas, Len
Martin, Kathy
Keywords: analysis of biological population trends
North American Breeding Bird Survey
Issue Date: 1996
Citation: Conservation Biology 10(2): 479-490 April 1996
Abstract: Population trends from the Breeding Bird Survey are widely used to focus conservation efforts on species thought to be in decline and to test preliminary hypotheses regarding the causes of these declines. A number of statistical methods have been used to estimate population trends, but there is no consensus us to which is the most reliable. We quantified differences in trend estimates or different analysis methods applied to the same subset of Breeding Bird Survey data. We estimated trends for 115 species in British Columbia using three analysis methods: U.S. National Biological Service route regression, Canadian Wildlife Service route regression, and nonparametric rank-trends analysis. Overall, the number of species estimated to be declining was similar among the three methods, but the number of statistically significant declines was not similar (15, 8, and 29 respectively). In addition, many differences existed among methods in the trend estimates assigned to individual species. Comparing the two route regression methods, Canadian Wildlife Service estimates had a greater absolute magnitude on average than those of the U.S. National Biological Service method. U.S. National Biological Service estimates were on average more positive than the Canadian Wildlife Service estimates when the respective agency's data selection criteria were applied separately. These results imply that our ability to detect population declines and to prioritize species of conservation concern depend strongly upon the analysis method used. This highlights the need for further research to determine how best to accurately estimate trends from the data. We suggest a method for evaluating the performance of the analysis methods by using simulated Breeding Bird Survey data.
Version: Postprint
URI: http://dx.doi.org/10.1046/j.1523-1739.1996.10020479.x
http://hdl.handle.net/10023/685
ISSN: 0888-8892
Type: Journal article
Publication Status: Published
Status: Peer reviewed
Appears in Collections:Statistics Research
Centre for Research into Ecological & Environmental Modelling (CREEM) Research



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