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林业科学 ›› 2015, Vol. 51 ›› Issue (12): 1-8.doi: 10.11707/j.1001-7488.20151201

• 论文与研究报告 • 上一篇    下一篇

基于物种分布模型的新疆野生果树物种丰富度分布格局

刘会良1,2, 张玲卫3, 张宏祥1, 布海丽且姆·阿卜杜热合曼1,4, 张道远1,2, 管开云1,2   

  1. 1. 中国科学院新疆生态与地理研究所, 中国科学院干旱区生物地理与生物资源重点实验室, 乌鲁木齐 830011;
    2. 中国科学院吐鲁番沙漠植物园, 吐鲁番 838008;
    3. 新疆农业大学草业与环境科学学院, 乌鲁木齐 830052;
    4. 中国科学院大学, 北京 100049
  • 收稿日期:2014-12-10 修回日期:2015-10-29 出版日期:2015-12-25 发布日期:2015-12-29
  • 通讯作者: 张道远
  • 基金资助:
    新疆自治区重大专项(201330122-3);中国科学院"西部之光"人才培养计划"西部博士资助项目"(XBBS201303)。

Distribution Pattern of Species Richness for Wild Fruit Trees in Xinjiang Based on Species Distribution Modeling

Liu Huiliang1,2, Zhang Lingwei3, Zhang Hongxiang1, Buhailiqiemu Abudureheman1,4, Zhang Daoyuan1,2, Guan Kaiyun1,2   

  1. 1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences Key Laboratory of Biogeography and Bioresource in Arid Land, Chinese Academy of Sciences Urumqi 830011;
    2. Turpan Eremophytes Botanical Garden, Chinese Academy of Sciences Turpan 838008;
    3. College of Grassland and Environment Sciences, Xinjiang Agricultural University Urumqi 830052;
    4. University of Chinese Academy of Sciences Beijing 100049
  • Received:2014-12-10 Revised:2015-10-29 Online:2015-12-25 Published:2015-12-29

摘要: [目的]选取新疆56种野生果树为研究对象,利用物种分布区模型模拟其潜在分布区,并分析其与环境因子的关系,为有效保护和管理新疆野生果树资源提供基础资料。[方法]基于物种分布点数据,最终选取13个环境因子确定物种的生态位信息,使用Maxent软件构建分布区模型,获得新疆野生果树物种丰富度分布格局图,并分析其与环境因子的关系。[结果]野生果树在新疆具有广泛的潜在分布区,其面积占全区面积的54.5%;物种丰富度可划分为1~4,5~14,15~24和25~38这4个等级,但物种丰富度大的区域面积比较狭窄,主要分布于伊犁河谷周边的天山山脉、巴尔鲁克山-塔尔巴哈台山和阿尔泰山西部;通过计算物种丰富度格局与13个环境因子之间的相关系数,发现2个降水因子(最湿季降水和最干季降水)、1个气温因子(平均日较差)和1个土壤因子(土壤碳含量)与新疆野生果树分布格局相关性高(R2>0.35),说明最湿季降水、最干季降水、平均日较差气温和土壤碳含量显著影响新疆野生果树的物种丰富度和分布格局。[结论]从物种丰富度水平和物种保护的角度上说,具有高水平野生果树物种丰富度的天山西部的伊犁河谷、巴尔鲁克山-塔尔巴哈台山和阿尔泰山西部山地应该受到优先保护。

关键词: 野生果树, 物种丰富度, 分布格局, 物种分布区模型, 环境因子, 新疆

Abstract: [Objective]In this study, we have applied species distribution modeling (SDM) to model the potential distributions of 56 species of wild fruit trees, in order to provide baseline data for effective conservation and management of Xinjiang wild fruit tree resources.[Method] Distribution records of wild fruit trees were obtained from the Herbarium and 13 environmental variables were chosen to define the ecological niche for these sample species. The software package Maxen was employed to model species distributions. After overlapping these 56 distributions, the pattern map of species richness for Xinjiang's wild fruit trees was obtained.[Result]Results showed that wild fruit trees had a wide range of potential distributions in Xinjiang, accounting for 54.5% of the total land area. The species richness was divided into 4 levels:1-4, 5-14, 15-24, and 25-38. However, the areas with high species richness were narrow, and mostly distributed around Ili Valley in western Tianshan Mountains, from Barluk Mountains to Tarbagatai Mountains, and western Altai Mountains. Correlation coefficients between species richness and 13 environmental variables showed that 2 rainfall factors (precipitations respectively of the wettest and the driest seasons), 1 temperature factor (mean diurnal range) and 1 soil factor (carbon density) were closely correlated with the distribution pattern of the wild fruit tree resources (R2>0.35), indicating significant impacts of the four factors on richness and distribution pattern of the wild fruit trees in Xinjiang.[Conclusion] In terms of the level of species richness and species conservation, it is recommended that the Ili Valley in western Tianshan Mountains, the range from Barluk Mountains to Tarbagatai Mountains and the western Altai Mountains should be given priority for conservation.

Key words: wild fruit trees, species richness, distribution pattern, species distribution modeling, environmental factors, Xinjiang

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