Application of an expert knowledge system in the study of forest spatial patterns |
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| Authors: | Chun-yan Li Xiao-li Zhang |
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| Institution: | Key Laboratory for Silviculture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,E R.China |
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| Abstract: | For the sake of exploring how the pattern of Chinese pine (Pinus massoniana Lamb) community changed after the invasion of the pine wood nematode (Bursaphelenchus xylophilus (Steiner & Buhrer) Niclde) in Zhoushan, Zhejiang Province, we established a test area in the local Chinese pine community.
Landsat5 TM images from 1991 and 2006 were integrated with auxiliary data from field investigation and spectral data as additional
sources of information. A method of expert knowledge classifier was applied to establish the expert knowledge dataset of the
main vegetation cover types from which we obtained a forest type distribution map. The spatial patterns and stability of the
forest, before and after the invasion of the pine wood nematode, were analyzed in terms of community patterns. The results
indicated that the predominant coniferous forest type changed to a mixed forest. As a result, the forest structure became
complex and the interaction between coniferous forest patches became weakened over the period from 1991 to 2006. Therefore,
the resistance of the forest eco-system to plant diseases and insect pests and the stability of forest eco-system enhanced. |
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| Keywords: | expert knowledge system TM image forest pattern stability |
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