کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6295281 | 1617166 | 2013 | 9 صفحه PDF | دانلود رایگان |

- Anopheles quadrimaculatus and Culex erraticus mosquito larvae were associated with agricultural wetlands.
- Culex territans mosquito larvae were associated with forested reference wetlands.
- Landscape development intensity indices predicted the distributions of mosquito species in an agricultural landscape.
- Mosquitoes are valuable bioindicators of wetland condition in an agroecosystem.
This study is the first to report on the relationships between immature mosquitoes (larvae and pupae) and landscape and environmental habitat characteristics in wetlands associated with row crop agriculture. Indicator species analysis (ISA) was used to test for associations among mosquito species and groups of wetland sites with similar Landscape Development Intensity (LDI) values. Results indicated that Anopheles quadrimaculatus, Culex erraticus, and Psorophora columbiae were associated with agricultural wetlands (LDIÂ >Â 2.0), whereas Anopheles crucians and Culex territans were associated with forested reference wetlands (LDIÂ <Â 2.0) in both wet and dry years. The species fidelity to wetland type, regardless of the hydrologic regime, demonstrates these species are robust indicators of wetland condition. Data on immature mosquito assemblages were compared to selected landscape and environmental habitat variables using Akaike's Information Criterion (AICc) model selection. LDI indices, dissolved oxygen concentration, the proportion of emergent vegetation, and the proportion of bare ground in wetlands were important factors associated with the selected mosquito species. These results indicate that LDI indices are useful in predicting the distributions of disease vectors or other nuisance mosquito species across broad geographic areas. Additionally, these results suggest mosquitoes are valuable bioindicators of wetland condition that reflect land use and hydrologic variability.
Journal: Ecological Indicators - Volume 34, November 2013, Pages 304-312