生物多样性 ›› 2020, Vol. 28 ›› Issue (1): 99-106.DOI: 10.17520/biods.2019158

• 编者按 • 上一篇    

物种分布模型在大型真菌红色名录评估及保护中的应用: 以冬虫夏草为例

李熠1,2,唐志尧3,闫昱晶3,4,王科2,5,蔡磊2,贺金生3,古松6,姚一建2,*()   

  1. 1. 扬州大学食品科学与工程学院, 扬州, 江苏 225127
    2. 中国科学院微生物研究所真菌学国家重点实验室, 北京 100101
    3. 北京大学城市与环境学院, 北京 100871
    5. 中国科学院大学, 北京 100049
    6. 南开大学生命科学学院, 天津 300071
  • 收稿日期:2019-05-08 接受日期:2019-08-01 出版日期:2020-01-20 发布日期:2019-12-24
  • 通讯作者: 姚一建
  • 基金资助:
    生态环境部生物多样性调查评估项目(2019HJ2096001006)

Incorporating species distribution model into the red list assessment and conservation of macrofungi: A case study with Ophiocordyceps sinensis

Yi Li1,2,Zhiyao Tang3,Yujing Yan3,4,Ke Wang2,5,Lei Cai2,Jinsheng He3,Song Gu6,Yijian Yao2,*()   

  1. 1. College of Food Science and Engineering, Yangzhou University, Yangzhou, Jiangsu 225127
    2. State Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101
    3. College of Urban and Environmental Sciences, Peking University, Beijing 100871
    4. Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Denmark
    5. University of Chinese Academy of Sciences, Beijing 100049
  • Received:2019-05-08 Accepted:2019-08-01 Online:2020-01-20 Published:2019-12-24
  • Contact: Yijian Yao

摘要:

我国大型真菌资源丰富, 由于受气候变化和人类活动等的影响, 近年来很多物种受到不同程度的威胁, 亟待保护。红色名录评估是物种保护的第一步, 为有效保护我国大型真菌多样性, 2016年生态环境部和中国科学院联合启动中国大型真菌红色名录评估项目。合理的评估依赖于完善的物种地理分布、种群数量规模及其动态变化信息。大型真菌评估信息较少, 需要引入新的方法解决评估信息不足的问题。冬虫夏草(Ophiocordyceps sinensis)是一种重要的食药用菌, 具有较高的经济价值, 受到全世界的广泛关注, 评估信息相对充足, 此次被评为易危物种。利用物种分布模型对冬虫夏草未来分布区变化的预测在评估过程中发挥了重要作用。为了将物种分布模型分析方法引入大型真菌的受威胁等级评估, 本文以此前我们利用物种分布模型预测冬虫夏草的潜在分布区及其对气候变化响应的研究为例, 介绍了应用物种分布模型预测大型真菌的潜在分布区、未来气候变化情景下分布区变化趋势的方法和流程, 以及在应用中可能存在的问题和解决方案。通过本文的分析, 我们认为物种分布模型在大型真菌的红色名录评估和保护中具有重要的应用潜力, 值得推广应用。

关键词: 物种分布模型, 冬虫夏草, 真菌保护, 生物多样性

Abstract:

China is rich in macrofungal biodiversity. However, many species have been threatened in recent years by human activity and climate change. Red list assessment is the first step towards species conservation. To protect this group of fungi, the Ministry of Ecology and Environment of the People’s Republic of China and the Chinese Academy of Sciences launched the Red List Assessment of Macrofungi in China in 2016. A reasonable assessment largely relies on the sufficient information of species’ geographic information, population numbers and sizes and population dynamics, which is lacked in most of macrofungal species. It is therefore necessary to employ new approaches to find and utilize more information for the assessment. Among the assessed species, Ophiocordyceps sinensis, which is an edible and medicinal fungus endemic to the Tibetan Plateau and its surrounding regions, has relatively abundant information. This species gained attention worldwide due to its obvious economic value and its importance to local societies. A species distribution modeling has also been an important component of its red list assessment. Here, we call on a previous study that aimed to predict the current potential distribution and to project the future distribution of Ophiocordyceps sinensis, and then we discuss how this modeling method can be employed in red list assessments to predict the current potential distribution and the range shifts of other macrofungal species in response to climate change. Challenges of using the model and possible solutions are also discussed. The species distribution modeling method is considered to have great potential for red list assessments and the subsequent conservation of macrofungi.

Key words: species distribution models, Ophiocordyceps sinensis, fungal conservation, biodiversity