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摘要:
Subtropical “Yambaru” forest, situated in the northern part of Okinawa Island of Japan, has a precious ecosystem inhabited by many endemic species. However, this region is also the center for forestry on Okinawa. Therefore, sustainable forestry activities should take into consideration the natural environment. To contribute to sustainable forest management in the region, we conducted prediction of the site index at fine-scale resolution by using multiple regression analysis with easily calculated topographic factors. For the multiple regression analysis with site index as a dependent variable, three topographic factors (the effective relief, openness, and elevation) were adopted as independent variables. Approximately 68% of the variance was explained, and the effective relief was the variable with the greatest influence. This means that it is possible to predict forest productivity at a finer scale of resolution than ever before. For sustainable forest management of sites where environmental conservation and forestry are conflicting, it is useful to estimate the site index at the finest scale of resolution practically available in the field. It might be possible to improve estimation accuracy by examining further environmental factors in the future.
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篇名 Prediction of the Site Index for a Subtropical Broad-Leaved Forest on Okinawa Island Using Topographic Factor
来源期刊 林学期刊(英文) 学科 医学
关键词 FOREST PRODUCTIVITY FOREST Management Digital ELEVATION Model (DEM) Ge-ographic Information Systems (GIS)
年,卷(期) 2018,(3) 所属期刊栏目
研究方向 页码范围 267-282
页数 16页 分类号 R73
字数 语种
DOI
五维指标
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FOREST
PRODUCTIVITY
FOREST
Management
Digital
ELEVATION
Model
(DEM)
Ge-ographic
Information
Systems
(GIS)
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研究来源
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研究去脉
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相关学者/机构
期刊影响力
林学期刊(英文)
季刊
2163-0429
武汉市江夏区汤逊湖北路38号光谷总部空间
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314
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0
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