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应用生态学报 ›› 2000, Vol. 11 ›› Issue (4): 513-517.

• 研究论文 • 上一篇    下一篇

林窗模型BKPF模拟伊春地区红松针阔叶混交林采伐迹地对气候变化的潜在反应

陈雄文1, 王凤友2   

  1. 1. 中国科学院植物研究所植被数量生态开放研究实验室, 北京100093;
    2. 东北林业大学森林资源与环境学院, 哈尔滨150040
  • 收稿日期:1999-05-20 修回日期:1999-11-01 发布日期:2000-07-25
  • 通讯作者: 陈雄文,男,31岁,博士,现在中国科学院植物研究所植被数量生态开放研究实验室从事博士后研究.主要从事全球气候变化对森林生态系统及景观动态的影响研究.发表论文10余篇.
  • 基金资助:

    国家重点基础研究专项经费资助(G1999043407);国家自然科学基金重点资助项目(39730110)

Simulation of potential responses of clear-cut of mixed coniferous and broadleaved Korean pine forest in Yichun to climate change by BKPF model

CHEN Xiongwen1, WANG Fengyou2   

  1. 1. Laboratory of Quantitative Vegetation Ecology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093;
    2. Northeast Forestry University, Harbin 150040
  • Received:1999-05-20 Revised:1999-11-01 Published:2000-07-25

摘要: 用森林演替模型BKPF研究黑龙江省伊春地区红松针阔叶混交林采伐迹地上森林演替在未来50年气候变化和CO2浓度增加的反应得出:伊春地区采伐迹地演替50年后红松和硬阔叶树的数量增加,落叶松、山杨与白桦减少;林分密度略有降低;林分生产力增加约7%~28%;林分地上部分总生物量增加15%~24%;叶面积指数增加约5%~8%.气候变化有利于采伐迹地阔叶红松林恢复.

关键词: BKPF模型, 红松, 针阔叶混交林, 采伐迹地, 气候变化, 潜在反应, 南四湖流域, 景观格局脆弱度, 景观格局

Abstract: The potential responses of forest succession in the clear-cut site of mixed coniferous and broad leaved Korean pine forest(MCBL KPF)in Yichun,Heilongjiang Province to global climate change and elevated CO2 after 50 years by BKPF model were simulated.The results indicated that the densities of Pinus koraiensis and hardwood species(Fraxinus mandshurica,Tilia amurensis,Juglans mandshurica and Phellodendron amurense) would increase,while the densities of Larix olgensis,Betula platyphylla and Populus davidiana would decrease after 50 years.The stand densities would be slightly lower than those at the same age under the current climate condition.The stand productivity,total aboveground biomass and leaf area index will increase by 7~28%,15~24% and 5~8%,respectively.Climate change would be beneficial to the forest succession from the clear-cut site to MCBL KPF.

Key words: B KPF model, Mixed coniferous and broad-leaved Korean pine forest, Clear-cut site, Climate change, Potential response, landscape pattern, landscape pattern vulnerability, Nansihu Lake basin.