期刊论文详细信息
iForest: Biogeosciences and Forestry
Large-scale spatial distribution of deer browsing damage to young tree plantations
article
Kei K Suzuki1  Yasufumi Watanabe2  Takuya Kubota2  Yasumitsu Kuwano3  Yohei Kawauchi4  Hiromi Yamagawa1  Masatoshi Yasuda1  Hiroshi Kondoh1  Haruto Nomiya1  Teruki Oka5 
[1] Kyushu Research Center, Forestry and Forest Products Research Institute;Forest Management Center;Institute of Agricultural and Forest Resources, Fukuoka Agriculture and Forestry Research Center;Seikai National Fisheries Research Institute, Japan Fisheries Research and Education Agency;Department of Wildlife Biology, Forestry and Forest Products Research Institute
关键词: Cervus nippon;    Deer Browsing Damage;    Forest Management;    Generalized Additive Model;    Plantation;   
DOI  :  10.3832/ifor3387-013
学科分类:社会科学、人文和艺术(综合)
来源: Societa Italiana di Selvicoltura ed Ecologia Forestale (S I S E F)
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【 摘 要 】

The economic loss caused by herbivore browsing in forest plantations is a concerning problem in many areas around the world. Information on the spatial distribution of browsing damage is important for forest owners when selecting locations for new plantations, because planting trees in areas of high browsing pressure increases economic losses. Although it is difficult to survey browsing damage across large areas, sporadic sampling data on browsing damage are often collected by foresters, governments, and researchers. Thus, in this study, we applied a generalized additive model (GAM) for analysis of sporadic data to reveal large-scale spatial variation in deer (Cervus nippon) browsing damage. A map of browsing pressure produced by a GAM that used years after planting (plantation age) and location as independent factors showed a few areas of high browsing pressure. In addition, browsing damage increased with increasing plantation age, and plantation stands aged 2+ years showed more browsing damage. Areas with high browsing damage estimated based on plantation stands aged 2+ years generally coincided with areas of high deer abundance, with some exceptions. Thus, this model reflects large-scale browsing damage relatively well and will help forest owners to avoid locating new plantations in areas of high browsing pressure.

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