Predicting Potential Cetacean Distribution by Meta-analysis on a Global Scale
Date Issued
2006
Date
2006
Author(s)
Chen, Yi-Hsiu
DOI
en-US
Abstract
Distribution researches are one of central issues in cetacean studies. Over the past few decades, there are several places which have been fully investigated. All these methods share largely similar procedures: small survey area and highly concentrated transect lines. The fractional information might lead to a misunderstanding of the entirety and generate inappropriate conclusion. In recent years, cetacean-habitat modeling has been given increased attention. However, these studies were still restricted in small study areas and hardly presented the entirety.
In this research, I collected the distribution information from 20 published studies and Ocean Biogeographic Information System (OBIS) database to establish a global distribution of cetacean. I used a geographic information system (GIS) to compile all available data of cetacean distributions. I also compiled environmental data, e.g., sea surface temperature (SST), chlorophyll concentration and depth. The data were in 1° X 1° square of latitude and longitude. My initial results indicate that there are 8 species in the dataset. Generalized linear model and Ecological-Niche Factor Analysis were used for model building. In this study, logistic regression was able to show the effect of different variables on species and generate better results. In conclusion, cetacean–habitat modeling represented the potentiality for predicting cetacean distributions and understanding the mechanisms determining these distributions by meta-analysis on a global scale.
Subjects
分布
鯨豚
預測
聚合性分析
cetacean
distribution
GIS modeling
prediction
meta-analysis
Type
other
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