Proposal of a new forest zoning method to link the diverse demands of people concerned with the park to forest management
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- Niwa Hideyuki
- Faculty of Bioenvironmental Science, Kyoto University of Advanced Science
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- Kamada Mahito
- Graduate School of Technology, Industrial and Social Sciences, Tokushima University
Bibliographic Information
- Other Title
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- 公園に関係する人々の多様な要望を森づくりにつなげるための新しい森林ゾーニング方法の提案
Description
<p>In satoyama parks, new zoning methods are needed that can accommodate requests to use the forest and indicate appropriate activity sites. We proposed a new zoning concept for Satoyama parks using Multi-Functional Landscape Planning (MFLP) and phytosociological vegetation maps. The 109.4 ha of forest in Takaragaike Park (Sakyo-ku, Kyoto) (hereafter referred to as "Takaragaike Forest") was selected for the study, and requests for the Takaragaike Forest were extracted from the results of the "The annual study session of Takaragaike" which has been held since 2013. A phytosociological vegetation map created by low altitude remote sensing (LARS) using an unmanned aerial vehicle (UAV) was used as the spatial unit for dividing the space into zones. Using the phytosociological vegetation map as the spatial unit and the constancy table, we were able to select zones suitable for realizing the requests. In addition, by adding existing data on vegetation, such as fallen trees and alien species, we were able to respond to requests that could not be evaluated based on the constancy table. The method of selecting zones suitable for activities based on the phytosociological vegetation map and the constancy table is clear and easy to understand, and can be fully used for decision making by various entities. The zoning method proposed in this study using MFLP and phytosociological vegetation map will be a new zoning method for Satoyama parks.</p>
Journal
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- Landscape Ecology and Management
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Landscape Ecology and Management 28 (1-2), 125-136, 2023
Japan Association for Landscape Ecology
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Keywords
Details 詳細情報について
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- CRID
- 1390862953420459520
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- ISSN
- 18846718
- 18800092
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
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- Abstract License Flag
- Disallowed