TITLE

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

AUTHOR(S)
LIANG Yu; HE Hong-shi; WU Zhi-wei; LI Xiao-na; LUO Xu
PUB. DATE
May 2013
SOURCE
Yingyong Shengtai Xuebao;May2013, Vol. 24 Issue 5, p1183
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
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 land-scape 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.
ACCESSION #
91994025

 

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