Arthropods as bioindicators of sustainable forest management, with a focus on plantation forests
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- Maleque M. Abdul
- Graduate School of Agricultural Science, Kobe University
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- Maeto Kaoru
- Graduate School of Agricultural Science, Kobe University
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- Ishii Hiroaki T.
- Graduate School of Agricultural Science, Kobe University
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説明
Here we review the bioindicator potentials of several arthropod groups in forest management. First, we describe the indicator potentials of frequently used arthropod groups in general forest management, and then evaluate ecosystem function and plural taxonomic groups to infer forest biodiversity. We then review indicator potentials of arthropod groups to explore the ecological consequences of forest management practices. Different arthropod groups respond differently to forest management. Ants, carabid beetles, and spiders often respond to local-scale, disturbance-induced vegetation development caused by thinning and can be used to infer the ecological suitability of forest management treatments. Dung beetles and moths respond to habitat alterations caused by forest fragmentation and can indicate the suitability of landscape-level forest management techniques. Butterflies and cerambycid beetles respond highly positively to the presence of herbaceous plants and understory trees and can be used to infer the integrity of thinning treatments in forest management. Syrphid flies, which are strong flyers associated with vegetation complexity, can be used as bioindicators of landscape-level forest management practices. Monitoring regulatory service providers may also help when designing forest management practices. We propose using arthropod bioindicator groups to effectively design and assess ecologically sustainable management plans for both natural and plantation forests.
収録刊行物
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- Applied Entomology and Zoology
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Applied Entomology and Zoology 44 (1), 1-11, 2009
日本応用動物昆虫学会
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詳細情報 詳細情報について
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- CRID
- 1390282681219406848
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- NII論文ID
- 110007125715
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- NII書誌ID
- AA00543238
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- ISSN
- 1347605X
- 00036862
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- NDL書誌ID
- 10165030
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- CiNii Articles
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可