Knowledge Network Node
Chinese Journal of Ecology. 2014, (06) Core

Geographic distribution of Larix gmelinii natural forest in China and its climatic suitabilityChinese Full Text

YANG Zhi-xiang;ZHOU Guang-sheng;YIN Xiao-jie;JIA Bing-rui;State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences;University of Chinese Academy of Sciences;Chinese Academy of Meteorological Sciences;

Abstract: It is necessary to accurately assess the geographic distribution of Larix gmelinii natural forest and its climatic suitability for forest management. There were eight potential climatic factors influencing L. gmelinii forest’s geographic distribution,including mean temperature of the coldest month（ Tc）,mean temperature of the warmest month（ Tw）,annual range of monthly mean temperature（ DTY）,accumulated temperature no less than 5 ℃（ GDD5）,annual precipitation（ P）,precipitation in autumn and winter（ Pa＆w）,moisture index（ MI） and solar radiation（ RAD）. We confirmed the dominant climatic factors using the MaxEnt model and Jackknife analysis method. The results showed that Tc,DTY,RAD and GDD5were the dominant climatic factors for the distribution of L. gmelinii natural forest,and the cumulative contribution rate of these factors reached 87. 8%. This indicated that thermal factors（ temperature and solar radiation）were the key factors rather than water conditions. The relationship between the distribution of L. gmelinii forest and the dominant climatic factors was developed by the MaxEnt model,whose accuracy reached the "excellent"level with an AUC value of 0. 956. Furthermore,the distribution of L. gmelinii natural forest in China mainly located in low and moderate climatic suitability zones. The thresholds of the four dominant climatic factors were given by their relationship with the geographic distribution probability of L. gmelinii,i. e.,- 28. 8 ℃ ≤Tc≤-19.5 ℃; 39. 0℃ ≤DTY≤46. 2 ℃; 2871. 7 MJ·m- 2≤RAD≤3519. 8 MJ·m- 2; 1000. 0 ℃·d≤GDD5≤2100. 0 ℃ ·d.
Keywords：

Larix gmelinii forest; geographic distribution; climatic suitability; MaxEnt model.;

  • DOI：

    10.13292/j.1000-4890.2014.0122

  • Series：

  • Subject：

  • Classification Code：

    S791.222

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