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苹果属山荆子地理分布模拟

王雷宏 杨俊仙 郑玉红 汤庚国

北京林业大学学报2011,Vol.33Issue(3):70-74,5.
北京林业大学学报2011,Vol.33Issue(3):70-74,5.

苹果属山荆子地理分布模拟

Modelling the geographic distribution of Malus baccata.

王雷宏 1杨俊仙 2郑玉红 3汤庚国4

作者信息

  • 1. 安徽农业大学林学与园林学院
  • 2. 安徽农业大学理学院
  • 3. 江苏省中国科学院植物研究所,南京中山植物园
  • 4. 南京林业大学森林资源与环境学院
  • 折叠

摘要

Abstract

Specimens of Malus baccata from some herbaria including the Institute of Botany, Chinese Academy of Sciences Herbarium (PE) were re-identified in light of the latest taxonomic outcome of the genus Malus Mill. and 358 valuable distribution records were selected and digitized into the geographic coordinate data. Based on these data, the updated geographic distribution is mapped using DIVA-GIS. This distribution presents a pattern extending mainly from the northeast to southwest, and secondarily from northwest to southeast. There are almost equal numbers of varieties in the southwest, central and northeast regions. Nineteen climate variables of the distribution points that fall in the envelope of variables of the world climate (spatial resolution arc 30 s) were analyzed by principal component analysis. Annual precipitation, isothermality, precipitation of the warmest quarter were found to be dominant factors affecting the geographic distribution of M. baccata; moreover, there are certain niche intervals of the dominant factors among the varieties, and niche overlaps only to some outliers. The present and future potential distribution maps are predicted by BIOCLIM with current and future climate conditions that are the world climate (spatial resolution arc 30 s). The results show that some highly suitable areas of the present potential distribution migrate southeastward, the whole future potential distribution extends northward, and some most northerly distribution points disappear; the overall range of distribution reduces.

关键词

分布记录/GIS/潜在分布

Key words

distribution records/ geographic information system/ potential distribution

分类

农业科技

引用本文复制引用

王雷宏,杨俊仙,郑玉红,汤庚国..苹果属山荆子地理分布模拟[J].北京林业大学学报,2011,33(3):70-74,5.

基金项目

安徽省自然科学基金项目(10040606Q18)、"948"国家林业局引进项目(98-04-08). (10040606Q18)

北京林业大学学报

OA北大核心CSCDCSTPCD

1000-1522

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