辽东栎林潜在地理分布及其主导因子

doi:10.11707/j.1001-7488.20130802

林业科学 ›› 2013, Vol. 49 ›› Issue (8): 10-14.doi: 10.11707/j.1001-7488.20130802

辽东栎林潜在地理分布及其主导因子

殷晓洁¹, 周广胜^1,2, 隋兴华¹, 何奇瑾², 李荣平³

1. 中国科学院植物研究所植被与环境变化国家重点实验室北京 100093;
2. 中国气象科学研究院北京 100081;
3. 中国气象局沈阳大气环境研究所沈阳 110016

收稿日期:2012-03-19 修回日期:2013-06-24 出版日期:2013-08-25 发布日期:2013-08-17
通讯作者: 周广胜
基金资助:
国家重点基础研究发展计划项目(2010CB951303)。

Potential Geographical Distribution of Quercus wutaishanica Forest and Its Dominant Factors

Yin Xiaojie¹, Zhou Guangsheng^1,2, Sui Xinghua¹, He Qijin², Li Rongping³

1. State Key Laboratory of Vegetation and Environmental Change Institute of Botany, Chinese Academy of Sciences Beijing 100093;
2. Chinese Academy of Meteorological Sciences Beijing 100081;
3. Institute of Atmospheric Environment, China Meteorological Administration Shenyang 110016

Received:2012-03-19 Revised:2013-06-24 Online:2013-08-25 Published:2013-08-17

摘要/Abstract

摘要：

利用影响植物分布的8个变量(年均降水量、气温年较差、最冷月温度、最暖月温度、大于5℃积温、湿润指数、年辐射量和海拔)以及辽东栎林地理分布资料,结合最大熵模型,筛选出影响辽东栎林地理分布的主导因子,即年均降水量、最冷月气温、大于5℃积温和年辐射量。在此基础上,构建辽东栎林地理分布与气候的关系模型。结果表明: 模型能够很好地模拟辽东栎林的潜在地理分布,其潜在分布区覆盖了我国东北南部、华北中南部、华中西北部、华东北部、西南东部部分地区及西北东部地区。影响辽东栎林潜在分布的各主导因子阈值分别为: 年均降水量340~1 060 mm、最冷月气温-17~4℃、大于5℃积温800~3 700℃·d^-1、年辐射量1.08×10⁵~1.41×10⁵ W·m^-2。

关键词: 辽东栎林, 潜在地理分布, 主导因子, 最大熵模型

Abstract:

In terms of the geographical distribution data of Quercus wutaishanica forest and the eight variables that potentially affect distribution of plants, including annual precipitation (P), annual range of monthly mean temperature (DTY), temperature of the coldest month (T_c) and temperature of the warmest month (T_w), growingday degrees above 5℃ (GDD₅), moisture index (MI),annual amount of solar radiation (Radi) and elevation (Elev), four dominant factors, including P, T_c, GDD₅ and Radi, influencing Q. wutaishanica forest distribution were selected with the MaxEnt Model. Thus, a relationship model between the geographical distribution of Q. wutaishanica forest and dominant variables was constructed. The results showed that this relationship model could effectively simulate the potential geographical distribution of Q. wutaishanica forest. The potential distribution regions include southern Northeast, central and south of North China, northwest of Central China, north of East China, eastern parts of Southwest and east of Northwest. The thresholds of the four dominant factors were 340 mm≤P≤1 060 mm,-17℃≤T_c≤4℃, 800℃·d^-1≤GDD₅≤3 700℃·d^-1, 1.08×10⁵ W·m^-2≤Radi≤1.41×10⁵ W·m^-2.

Key words: Quercus wutaishanica forest, potential geographical distribution, dominant factors, maximum entropy model

中图分类号:

殷晓洁, 周广胜, 隋兴华, 何奇瑾, 李荣平. 辽东栎林潜在地理分布及其主导因子[J]. 林业科学, 2013, 49(8): 10-14.

Yin Xiaojie, Zhou Guangsheng, Sui Xinghua, He Qijin, Li Rongping. Potential Geographical Distribution of Quercus wutaishanica Forest and Its Dominant Factors[J]. Scientia Silvae Sinicae, 2013, 49(8): 10-14.

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辽东栎林潜在地理分布及其主导因子

Potential Geographical Distribution of Quercus wutaishanica Forest and Its Dominant Factors

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