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Blow Flies from Forest Fragments Embedded in Different Land Uses: Implications for Selecting Indicators in Forensic Entomology
Authors:Mirian S. de Souza M.Sc.  Mateus Pepinelli Ph.D.  Eduardo C. de Almeida M.Sc.  Jose M. Ochoa‐Quintero Ph.D.  Fabio O. Roque Ph.D.
Affiliation:1. Programa de Pós‐Gradua??o em Entomologia e Conserva??o da Biodiversidade, Faculdade de Ciencias Biologicas e Ambientais, Universidade Federal da Grande Dourados, Dourados, Brazil;2. University of Toronto, Department of Ecology and Evolutionary Biology, Toronto, Canada;3. Additional information and reprint requests:;4. Mateus Pepinelli, Ph.D.;5. Departamento de Hidrobiologia;6. Centro de Ciências Biológicas e da Saúde;7. Universidade Federal de S?o Carlos;8. Rod Washington Luis Km 235 Sao Carlos;9. S?o Carlos;10. Sao Paulo 13595‐605;11. Brazil;12. E‐mail:;13. Instituto de criminalística de Mato Grosso do Sul, Campo Grande, Brazil;14. Centro de Ciências Biológicas e da Saúde, Universidade Federal de Mato Grosso do Sul, Campo Grande, Brazil
Abstract:Given the general expectation that forest loss can alter biodiversity patterns, we hypothesize that blow fly species abundances differ in a gradient of native vegetation cover. This study was conducted in 17 fragments across different landscapes in central Brazil. Different land cover type proportions were used to represent landscape structure. In total, 2334 specimens of nine species of Calliphoridae were collected. We used principal component analysis (PCA) to reduce dimensionality and multicollinearity of the landscape data. The first component explained 70%, and it represented a gradient of forest‐pasture land uses. Alien species showed a wide distribution in different fragments with no clear relationship between the abundance values and the scores of PCA axes, whereas native species occurred only in areas with a predominance of forest cover. Our study revealed that certain native species may be sensitive to forest loss at the landscape scale, and they represent a bioindicator in forensic entomology.
Keywords:forensic science, calliphoridae  landscape ecology  landscape metrics
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