森林健康评价,博弈论,物元可拓模型,多时空动态


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,"/> <span>基于博弈论-物元可拓模型的多时空森林健康评价——以中朝俄跨境区域为例</span>

吉林大学学报(地球科学版) ›› 2025, Vol. 55 ›› Issue (5): 1742-1756.doi: 10.13278/j.cnki.jjuese.20240160

• 地球探测与信息技术 • 上一篇    下一篇

基于博弈论-物元可拓模型的多时空森林健康评价——以中朝俄跨境区域为例

马玮瞳1,纪雪1,朴东范2,王明常1,刘子维1,刘星男1   

  1. 1.吉林大学地球探测科学与技术学院,长春130026

    2.延边大学地理与海洋科学学院,吉林珲春133000

  • 出版日期:2025-09-26 发布日期:2025-11-15
  • 基金资助:

    国家自然科学基金项目(42301505, 22FAA01871, 52305445, 42171407)


Multi-Temporal and Spatial Forest Health Assessment Based on Game Theory-Matter-Element Extension Model: A Case Study of the Cross-Border Area Among China, North Korea, and Russia

Ma Weitong1, Ji Xue1, Piao Dongfan2, Wang Mingchang1, Liu Ziwei1, Liu Xingnan1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China

    2. College of Geography and Ocean Sciences, Yanbian University, Hunchun 133000, Jilin, China

  • Online:2025-09-26 Published:2025-11-15
  • Supported by:
    Supported by the National Natural Science Foundation of China (42301505, 22FAA01871, 52305445, 42171407)

摘要: 森林生态系统在陆地生态系统中发挥着不可替代的重要作用。中朝俄跨境森林拥有丰富的森林资源,为众多野生动植物提供了广阔的栖息地。科学评价森林健康,不仅有助于保护和管理自然资源,还能有效维护生物多样性,促进区域的可持续发展。本文以中朝俄边境地区为对象,采用主客观赋权法确定各评价指标的初始权重,利用博弈论思想对权重进行组合优化;确定权重后,基于可拓学原理,构建物元可拓模型对多年森林健康状态进行评价。研究表明:①博弈论优化后的权重分配显示,林分活力指标在四大类评价指标中占据主导地位,权重达到51.85%,凸显了林分活力指标在森林健康评价中的重要性;其次是系统恢复力指标(18.16%)、场地条件指标(16.43%)、土壤质量指标(13.56%)。②2000、2010和2020年三期结果显示,研究区森林中度健康状态占比最高,良好健康状态占比第二,不健康状态占比最少,分别为16.50%、15.53%、15.42%,呈下降趋势,反映出虽然部分区域处在不健康状态,但森林健康状态正在向更好的方向发展。③多年研究区内森林健康多时空特征状态以中等健康稳态为主,体现了森林健康的稳定性,但区域间差异显著,其中,中国区域波动与优质稳态并存,朝鲜以低位稳态为主但有改善迹象,俄罗斯西部与东部健康状态多样。

关键词: 森林健康评价')">

森林健康评价, 博弈论, 物元可拓模型,
')">多时空动态


Abstract:

Forest ecosystems play an irreplaceable role in terrestrial ecosystems. The cross-border forests among China, North Korea, and Russia have abundant forest resources, providing wide habitats for numerous wildlife and plants. Scientific evaluation of forest health not only helps to protect and manage natural resources, but also effectively maintains biodiversity and promotes regional sustainable development. This article takes the border area among  China, North Korea, and Russia as the object, uses subjective and objective weighting methods to determine the initial weights of each evaluation indicator, and uses game theory to combine and optimize the weights. After determining the weights, based on the principle of extension, a matter-element extension model is constructed to evaluate the long-term forest health status. This research has shown that: 1) The weight allocation optimized through game theory shows that the vitality indicator dominates the four major categories of indicators in the indicator system, with a weight of 51.85%. This highlights the importance of vitality in forest health assessment, followed by indicators of system resilience (18.16%), site condition (16.43%), and soil quality (13.56%). 2) The results of the three periods in 2000, 2010, and 2020 show that the forest in the research area has the highest proportion of moderate health status, followed by good health status, and the lowest proportion of unhealthy status, with 16.50%, 15.53%, and 15.42%, respectively, showing a downward trend. This reflects that although some areas are in an unhealthy state, the forest health status is developing towards a better direction. 3) For many years, the multi-temporal and spatial characteristics of forest health in the research area have been dominated by a moderate health steady state, reflecting the stability of forest health. However, there are significant regional differences. In some regions of China, fluctuations coexist with high-quality steady states. While in North Korea, low steady states dominate but show signs of improvement. The health status of the western and eastern regions of Russia is diverse.


Key words: forest health assessment, game theory, matter-element extension model, multi-temporal and spatial dynamics

中图分类号: 

  • TP79
[1] 吴栋哲, 姜琦刚, 顾宗瑞, 张森, 付长亮.

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