Using Climate Variables and Aireborne Lidar Derived Vegetation Structure for Accessing the Habitat of Breeding Birds: A Case Study in Minnesota
Date
2017
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Abstract
Understanding the relationship between environment and the spatial distribution
of species has always been important for environmental protections and ecological
conservations. Remote sensing technologies provide opportunities for acquiring
information on climate and vegetation more easily and faster, and have been applied
in many fields such as geography, biology, ecology, etc. Recent advance remote
sensing technologies such as airborne LiDAR provides useful information about
canopy structure in three-dimensional space. In this study, airborne LiDAR data in the
Northeast Minnesota were combined with conventional habitat variables to build
models for predicting bird species abundance. Correlations were examined between
different groups of variables and bird abundance. Results were discussed on the
ecological factors on bird species abundance and future potential developments. It was
found that airborne LiDAR derived canopy structure variables were important for
predicting bird abundance. This study could improve our understanding of the
relationship of bird species with vegetation and climate, which can help ecologists to
estimate the bird biomass and biodiversity using these environmental variables.
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biological oceanography, LiDAR, ecology
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47 pages
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