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• 第七届中国青年生态学工作者学术研讨会会议专栏 • 上一篇    下一篇

样地数量对气候变化背景下树种分布预测的影响

梁宇**,贺红士,吴志伟,李晓娜,罗旭   

  1. (中国科学院沈阳应用生态研究所森林与土壤生态国家重点实验室, 沈阳 110016)
  • 出版日期:2013-05-18 发布日期:2013-05-18

Effects of sampling plot number on tree species distribution prediction under climate change.

LIANG Yu, HE Hong-shi, WU Zhi-wei, LI Xiao-na, LUO Xu   

  1. State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China)
  • Online:2013-05-18 Published:2013-05-18

摘要:

基于不同景观破碎化程度下的中性景观,探讨了气候变化背景下样地数量对景观尺度树种分布预测的影响.采用模型耦合的方法进行树种分布预测,设置了3个样地数量预案与1个参考预案.分别在每一破碎化程度下检验3种样地数量预案的预测结果与参考预案之间的差异.结果表明:样地数量会影响树种分布预测结果,具有不同生活史属性的树种对样地数量的需求不同,对普适性树种进行分布预测需要的样地数量较多;除极度特异种外,景观的破碎化程度也会影响样地数量对树种分布预测的影响;随着模拟时间的增加,样地数量对景观尺度树种分布预测的作用会发生变化,对于一些普适种树种来说,长期模拟需要较多的样地.
 

Abstract: Based on the neutral landscapes under different degrees of landscape fragmentation, this paper studied the effects of sampling plot number on the prediction of tree species distribution at landscape scale under climate change. The tree species distribution was predicted by the coupled modeling approach which linked an ecosystem process model with a forest landscape model, and three contingent scenarios and one reference scenario of sampling plot numbers were assumed. The differences between the three scenarios and the reference scenario under different degrees of landscape fragmentation were tested. The results indicated that the effects of sampling plot number on the prediction of tree species distribution depended on the tree species life history attributes. For the generalist species, the prediction of their distribution at landscape scale needed more plots. Except for the extreme specialist, landscape fragmentation degree also affected the effects of sampling plot number on the prediction. With the increase of simulation period, the effects of sampling plot number on the prediction of tree species distribution at landscape scale could be changed. For generalist species, more plots are needed for the long term simulation.