Using Climate Variables and Aireborne Lidar Derived Vegetation Structure for Accessing the Habitat of Breeding Birds: A Case Study in Minnesota
| dc.contributor.advisor | Chen, Qi | |
| dc.contributor.author | Fu, Yazhou | |
| dc.contributor.department | Oceanography | |
| dc.contributor.department | Global Environmental Science | |
| dc.date.accessioned | 2020-04-25T01:36:12Z | |
| dc.date.available | 2020-04-25T01:36:12Z | |
| dc.date.issued | 2017 | |
| dc.description.course | OCN 499 - Undergraduate Thesis | |
| dc.identifier.uri | http://hdl.handle.net/10125/67745 | |
| dc.publisher.place | Honolulu | |
| dc.subject | biological oceanography | |
| dc.subject | LiDAR | |
| dc.subject | ecology | |
| dc.title | Using Climate Variables and Aireborne Lidar Derived Vegetation Structure for Accessing the Habitat of Breeding Birds: A Case Study in Minnesota | |
| dc.type | Thesis | |
| dcterms.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. | |
| dcterms.extent | 47 pages | |
| dcterms.language | English | |
| dcterms.publisher | University of Hawaiʻi at Mānoa | |
| dcterms.rights | All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. | |
| dcterms.rightsholder | Fu, Yazhou | |
| dcterms.type | Text |
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