Analysis of landscape configurations for enhancement of biodiversity in Yatsuda landscapes
| Project/Area Number |
15510195
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Resource conservation science
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| Research Institution | Tokyo University of Information Sciences |
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Principal Investigator |
HARA Keitarou Tokyo University of Information Sciences, Faculty of Informatics, Professor, 総合情報学部, 教授 (20208648)
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| Co-Investigator(Kenkyū-buntansha) |
SUSAKI Junichi TUIS, Lecturer, 総合情報学部(〜H16・7・31)東京大学・生産技術研究所(H16・8・1〜), 講師 (90327221)
KEVIN Short TUIS, Professor, 総合情報学部, 教授 (40337762)
FUJIHARA Michiro Himeji Institute of Technology, Associate Professor, 自然・環境研究所, 助教授 (80250158)
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| Project Period (FY) |
2003 – 2004
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| Project Status |
Completed (Fiscal Year 2004)
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| Budget Amount *help |
¥2,200,000 (Direct Cost: ¥2,200,000)
Fiscal Year 2004: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 2003: ¥1,300,000 (Direct Cost: ¥1,300,000)
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| Keywords | Biodiversity / Conservation / Landscape ecology / Yatsuda / GIS / Remote sensing |
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| Research Abstract |
The aim of this project is to identify and analyze the countryside landscape configurations which best support a high level of biodiversity. The first step in this process was to establish a method for precise but efficient analysis of landscape configurations in the Yatsu valleys, which are a typical countryside landscape of the South Kanto Region. To accomplish this, GIS and high resolution satellite imaging data were utilized. Next, the relationship among various landscape configurations and the distribution of key amphibian species was analyzed by correlating field data with the results of the remote sensing data. As a result of this research, remote sensing using LANDSAT ETM data was found to be a viable methodology for analyzing land cover. Data from four separate seasons were combined into a composite image which proved extremely capable of accurately distinguishing among various land cover types. In addition, high resolution IKONOS data was found to be effective for identifying micro vegetation patches in urbanized and semi-urbanized areas. From these trails, it was confirmed that remote sensing data is capable of identifying and analyzing areas that show high value as wildlife habitats. Based on this results, the habitat requirements of various species of frogs, as well as the landscape configurations which best meet these requirements, were identified. From our experience, it is clear that remote sensing data combined with field studies shows great promise as a tool for efficient and precise management of regional ecosystems and biodiversity.
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Report
(3 results)
Research Products
(25 results)
