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应用生态学报 ›› 2021, Vol. 32 ›› Issue (7): 2290-2300.doi: 10.13287/j.1001-9332.202107.012

• 研究论文 • 上一篇    下一篇

西南地区壳斗科物种丰富度和特有性分布格局模拟及其环境解释

张凤英1,2, 廖梓延2,3, 潘开文2, 张萌2, 赵玉林2,3, 张林2*   

  1. 1四川省林业和草原调查规划院, 成都 610081;
    2中国科学院成都生物研究所, 成都 610041;
    3中国科学院大学, 北京 100049
  • 收稿日期:2020-12-29 修回日期:2021-04-06 出版日期:2021-07-15 发布日期:2022-01-15
  • 通讯作者: *zhanglin@cib.ac.cn
  • 作者简介:张凤英,女,1994年生,硕士研究生。主要从事植物群落分布研究。E-mail:690554822@qq.com
  • 基金资助:
    国家重点研发计划项目(2016YFC0502101)和四川省科技计划项目(2021YFS0281)

Species richness and endemism pattern of Fagaceae in Southwest China and their environmental interpretation

ZHANG Feng-ying1,2, LIAO Zi-yan2,3, PAN Kai-wen2, ZHANG Meng2, ZHAO Yu-lin2,3, ZHANG Lin2*   

  1. 1Sichuan Forestry and Grassland Survey and Planning Institute, Chengdu 610081, China;
    2Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;
    3University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-12-29 Revised:2021-04-06 Online:2021-07-15 Published:2022-01-15
  • Contact: *zhanglin@cib.ac.cn
  • Supported by:
    National Key R&D Program of China (2016YFC0502101) and the Sichuan Science and Technology Project (2021YFS0281).

摘要: 如何准确地模拟物种宏观丰富度格局和特有性中心是生物多样性保护工作的重点,也是生物地理学的热点话题。西南地区是我国壳斗科植物最丰富的地区之一,但物种多样性格局及环境驱动机制尚不清楚。本研究基于西南地区161种壳斗科植物7258个分布点位数据,利用点格局法和物种分布模型两种方式构建了物种丰富度、加权特有性指数和校正加权特有性指数的分布格局,并采用空间自回归模型(SAR)分析上述3个多样性指数与环境因子间的关系。总体上看,物种分布模型模拟的3个指数在空间上比点格局法更为连续,但数值高低分布情况具有相似性: 两种方式模拟的物种丰富度高值区主要分布在滇南边缘、桂北部和桂西南部地区(62~89种);加权特有性指数最大值集中在滇南和桂西地区(1.77~5.02);藏东南、秦岭-大巴山、桂西南部和滇东南地区具有最高的校正加权特有性指数(0.07~0.17)。SAR模型结果显示:最干月降雨量、温度季节性变化标准差、海拔变幅和土壤有机碳含量对物种丰富度的影响均显著,最干月降雨量、温度季节性变化标准差、潜在蒸散量和海拔变幅对加权特有性有着显著影响,温度季节性变化标准差、最干月降雨量、历史温度变化、增强型植被指数变异系数和海拔变幅对校正加权特有性的影响显著;SAR模型对物种丰富度、特有性指数和加权特有性指数的拟合效果(R2=0.857、0.733、0.593)分别优于普通线性模型(R2=0.689、0.425、0.422)。综上,水分可获得性、气候季节性、生境异质性、历史气候变化和土壤状况是制约西南地区壳斗科丰富度和特有性分布的最重要因素。滇南、滇东南、桂西南、桂西、秦岭-大巴山以及藏东南地区是壳斗科物种丰富度中心或特有性中心,应受到重点关注和保护。

关键词: 物种丰富度, 特有性, 水热状况, 生境异质性

Abstract: How to accurately model species macro-richness patterns and endemism centers is a key focus of biodiversity conservation efforts and a hot biogeographical topic. Southwest China is one of regions with high Fagaceae species richness, the species diversity patterns and driving mechanisms are unclear. In this study, the distribution pattern of species richness (SR), weighted endemism (WE), and corrected weighted endemism (CWE) indices were estimated based on 7258 occurrence points of 161 Fagaceae species in Southwest China using both occurrence-to grid method and species distribution model (SDM). We used the spatial autoregressive (SAR) model to analyze the relationship between diversity indices and environmental factors. Overall, the three SDM-simulated diversity indices were more continuous in values than that of the occurrence-to grid method, though the distributions of those indices obtained by the two methods were similar. The areas with high SR value were mainly distributed in the south edge of Yunnan, north Guangxi and southwest Guangxi (62-89 species). The maximum of WE concentrated in south Yunnan and west Guangxi (1.77-5.02). The highest CWE (0.07-0.17) was found in southeast Tibet, Qinling-Daba Mountains, southwest Guangxi, and southeast Yunnan. The SAR models showed significant effect of precipita-tion in the driest month, standard deviations of seasonal temperature, altitude range and soil organic carbon content on SR. The effects of precipitation in the driest month, standard deviations of seaso-nal temperature, potential evaporation and altitude range on the WE were significant. The precipitation in the driest month, standard deviations of seasonal temperature, historical temperature change, coefficient of variation of enhanced vegetation index and altitude variation had significant effects on the CWE. The R2 of SAR model for SR, WE and CWE was 0.857, 0.733, 0.593, respectively, being higher than that of ordinary least squares (OLS) (R2=0.689, 0.425, 0.422). In conclusion, water availability, climate seasonality, habitat heterogeneity, historical climate change and soil condition were the most important factors limiting the distribution of SR and WE of Fagaceae in Southwest China. The SR and WE centers of Fagaceae were located in south and southeast Yunnan, southwest Guangxi, west Guangxi, Qinling-Daba Mountains, and southeast Tibet, where should be adequately protected.

Key words: species richness, endemism, water and energy condition, habitat heterogeneity