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A comprehensive analysis of multiple...
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Coggins, Laura Michelle.
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A comprehensive analysis of multiple variables correlated with avian extinction risk and conservation status.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A comprehensive analysis of multiple variables correlated with avian extinction risk and conservation status./
作者:
Coggins, Laura Michelle.
面頁冊數:
95 p.
附註:
Source: Masters Abstracts International, Volume: 51-06.
Contained By:
Masters Abstracts International51-06(E).
標題:
Biology, Bioinformatics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1536451
ISBN:
9781303048173
A comprehensive analysis of multiple variables correlated with avian extinction risk and conservation status.
Coggins, Laura Michelle.
A comprehensive analysis of multiple variables correlated with avian extinction risk and conservation status.
- 95 p.
Source: Masters Abstracts International, Volume: 51-06.
Thesis (M.S.)--College of Charleston, 2013.
Many studies have attempted to quantify conservation threats to birds, but virtually all have been limited to particular sites, habitats, or taxonomic groups. We merged three data sets, including information on taxonomy, habitat type, region, body mass, specific threats, and conservation status for nearly all bird species. Each was included in a comprehensive analysis of threats facing birds today. Categories were analyzed independently in order to identify a reduced set of factors, before combining these into one regression model. We suggest that although 1% of species are classified as extinct, conservation efforts should focus on the 21% of birds that are threatened with extinction in the near future. We found that the proportion of threatened species is roughly the same across habitat types and geographic regions, in contrast with conventional wisdom that threatened species are concentrated in specific areas. While we confirm a statistically significant positive correlation between body size and degree of threat, the small R-squared values suggest that this may have little biological significance. We show that among threat categories, those directly affecting habitats and ecosystem health appear to be most significant in determining threat status. Therefore, while intrinsic traits such as body size and taxonomic group have some obvious relationships with threat level; they may be secondarily related to external factors that determine risk, such as how habitat destruction may affect the rate and success of reproduction, niche specialization, and resource use, which can make some species more susceptible than others to extinction risk. This project represents an effort to combine resources and available data in order to help predict which species may be in danger in the near future, and to direct conservation efforts toward where they are needed most. This information would be invaluable to researchers trying to understand and protect these organisms.
ISBN: 9781303048173Subjects--Topical Terms:
1018415
Biology, Bioinformatics.
A comprehensive analysis of multiple variables correlated with avian extinction risk and conservation status.
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Many studies have attempted to quantify conservation threats to birds, but virtually all have been limited to particular sites, habitats, or taxonomic groups. We merged three data sets, including information on taxonomy, habitat type, region, body mass, specific threats, and conservation status for nearly all bird species. Each was included in a comprehensive analysis of threats facing birds today. Categories were analyzed independently in order to identify a reduced set of factors, before combining these into one regression model. We suggest that although 1% of species are classified as extinct, conservation efforts should focus on the 21% of birds that are threatened with extinction in the near future. We found that the proportion of threatened species is roughly the same across habitat types and geographic regions, in contrast with conventional wisdom that threatened species are concentrated in specific areas. While we confirm a statistically significant positive correlation between body size and degree of threat, the small R-squared values suggest that this may have little biological significance. We show that among threat categories, those directly affecting habitats and ecosystem health appear to be most significant in determining threat status. Therefore, while intrinsic traits such as body size and taxonomic group have some obvious relationships with threat level; they may be secondarily related to external factors that determine risk, such as how habitat destruction may affect the rate and success of reproduction, niche specialization, and resource use, which can make some species more susceptible than others to extinction risk. This project represents an effort to combine resources and available data in order to help predict which species may be in danger in the near future, and to direct conservation efforts toward where they are needed most. This information would be invaluable to researchers trying to understand and protect these organisms.
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