GISとAHPを用いた間伐優先度の決定方法  [in Japanese] A method to determine thinning priorities using a geographic information system and Analytic Hierarchy Process  [in Japanese]

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Abstract

本研究では森林管理者の意向と間伐予算を考慮して人工林の中から間伐林分を抽出する手法を提案した。対象森林は山梨県早川町内にある個人有林の針葉樹人工林小班とした。まず,GISを用いて各小班の地位指数を推定した。次に,各小班の平均樹高,本数密度,幹材積,収量比数を推定した。そして,GISを用いて人工林小班の中から間伐候補となる小班を抽出した。階層分析法(AHP)を用いて森林管理者の意向調査結果から小班の間伐優先度を判別した。さらに,各小班の属性を基に,各小班を間伐するために必要な費用を算出した。最後に,間伐予算を満たすように優先度が高い小班から順に今後5年間で間伐する小班を抽出した。AHPにより複数の属性を考慮して間伐林分を選択しなければならない森林管理者の意向を反映させ,間伐候補となる林分に優先度をつけることができた。GISによりいくつかの属性値から間伐候補を絞り込み,森林管理者の意向を沿った複数の属性を用いて林分を抽出できた。

This paper proposes a way to choose plantation forest stands to be thinned that satisfies the forest manager's intentions and meets the thinning budget. The study area was composed of sub-compartments of coniferous plantations owned by individuals in Hayakawa Town, Yamanashi Prefecture. First, the site index was estimated for each sub-compartment using a geographic information system (GIS). Next, the average height, density, stand volume, and yield index were estimated for each sub-compartment. Then, candidate sub-compartments were chosen from the plantation forests using GIS. The candidate sub-compartments were discriminated according to a thinning priority based on the forest manager's intentions using an analytic hierarchy process (AHP). Moreover, the thinning costs were calculated for each sub-compartment according to their attributes. Finally, sub-compartments to be thinning during the next 5 years were chosen from the candidates based on prioritization meeting the budget. Using AHP, we could identify candidate stands for thinning that reflected the forest manager's intentions considering several stand attributes. Using GIS, we could choose candidate stands for thinning based on several attributes and then choose the stands to be thinned based on attributes that reflected the forest manager's intentions and the thinning budget.

Journal

  • Japanese Journal of Forest Planning

    Japanese Journal of Forest Planning 46(2), 57-66, 2013

    Japan Society of Forest Planning

Keywords

Codes

  • NII Article ID (NAID)
    110009810139
  • NII NACSIS-CAT ID (NCID)
    AN10385361
  • Text Lang
    JPN
  • Article Type
    journal article
  • ISSN
    0917-2017
  • NDL Article ID
    025381243
  • NDL Call No.
    Z18-1745
  • Data Source
    NDL  NII-ELS  J-STAGE  JASI 
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