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林业科学 ›› 2023, Vol. 59 ›› Issue (12): 1-12.doi: 10.11707/j.1001-7488.LYKX20230172

• 前沿与重点:典型树种空间分布的气候变化响应与适应 • 上一篇    下一篇

末次间冰期以来及未来气候情景下红皮云杉适生分布区模拟

王亚1,王军辉1,王福德3,刘逸夫2,谭灿灿2,袁艳超2,聂稳2,刘建锋1,常二梅1,贾子瑞1,*()   

  1. 1. 林木遗传育种国家重点实验室 中国林业科学研究院林业研究所 北京 100091
    2. 中国林业科学研究院森林生态环境与自然保护研究所 北京 100091
    3. 黑龙江省林业科学研究所 哈尔滨 150081
  • 收稿日期:2023-04-27 出版日期:2023-12-25 发布日期:2024-01-08
  • 通讯作者: 贾子瑞 E-mail:.jiazirui646@163.com
  • 基金资助:
    “十四五”国家重点研发计划(2023YFD2200605-02);国家自然科学基金青年项目(31500540)

Simulation of Suitable Distribution Areas of Picea koraiensis in China Since the Last Interglacial and Under Future Climate Scenarios

Ya Wang1,Junhui Wang1,Fude Wang3,Yifu Liu2,Cancan Tan2,Yanchao Yuan2,Wen Nie2,Jianfeng Liu1,Ermei Chang1,Zirui Jia1,*()   

  1. 1. State Key Laboratory of Tree Genetics and Breeding Research Institute of Forestry,Chinese Academy of Forestry Beijing 100091
    2. Ecology and Natural Conservation Institute, Chinese Academy of Forestry Beijing 100091
    3. Forestry Research Institute in Heilongjiang Province Harbin 150081
  • Received:2023-04-27 Online:2023-12-25 Published:2024-01-08
  • Contact: Zirui Jia E-mail:.jiazirui646@163.com

摘要:

目的: 探究红皮云杉地理分布格局与气候变化的关系,模拟红皮云杉在不同时期气候变化下的潜在适生分布区,为红皮云杉的资源管理和多样性保护提供科学依据。方法: 基于我国红皮云杉59个现有分布点数据和Worldclim网站下载的19个气候变量,采用最大熵模型(MaxEnt),模拟红皮云杉在现代、末次间冰期(LIG)、末次盛冰期(LGM)、全新世中期(MH)以及未来2个时期(2050s和2070s)2种排放气候场景(RCP4.5和RCP8.5)下的适生分布区,分析限制红皮云杉地理分布的主要环境因子,推测其生物避难所,预测其在未来气候变化情景下的变化趋势。结果: MaxEnt预测结果可靠,训练数据集和测试数据集的平均AUC均大于0.99,具有极高可信度。最暖季度降水量(Bio18)、气温季节性变动系数(Bio4)和降水量季节性变化(Bio15)是限制红皮云杉地理分布的主要变量,贡献率分别为40.6%、28.9%和24.6%。红皮云杉当前适生区包括中国的大兴安岭、小兴安岭、长白山地区;红皮云杉在LIG、LGM和MH时期的适生区面积分别为当前的102.59%,105.20%和100.53%;从末次盛冰期到现代,其分布中心具有向东南、再向东北、再向西南的迁移趋势。未来气候情景下红皮云杉的适生区面积呈减少趋势,RCP4.5-2050s、RCP4.5-2070s、RCP8.5-2050s和RCP8.5-2070s情景下的适生区面积分别为当前时期的99.06%、96.88%、98.05%和95.08%,高适生区边缘呈片段化分布,小兴安岭腹地和长白山腹地的种群较为稳定。结论: 相对于温度,降水对红皮云杉地理分布的影响更重要。红皮云杉在末次盛冰期发生种群扩张,从全新世中期到现代其种群持续收缩。通过种群遗传多样性、适生区预测和孢粉化石等推测长白山腹地和小兴安岭腹地是红皮云杉的间冰期避难所。未来气候情景下,红皮云杉适生区面积缩小,其分布中心有向高海拔和高纬度地区迁移的趋势,应考虑优先保护大兴安岭北部到中部、长白山西部和张广才岭北部等高适生区的边缘种群。

关键词: 红皮云杉, 最大熵模型, 气候变化, 适生区

Abstract:

Objective: This work aims to explore the relationship between the geographical distribution of Picea koraiensis and climate change and to simulate potential suitable distribution areas of P. koraiensis under climate change during different periods, so as to provide a scientific basis for resource management and the protection of P. koraiensis. Method: Based on data from 59 existing distribution sites of P. koraiensis and 19 climate variables obtained from the WorldClim website, the maximum entropy model (MaxEnt) was used to simulate the suitable distribution areas of P. koraiensis during different time periods: the present, last interglacial (LIG), last glacial maximum (LGM), mid-holocene (MH), and two future climate scenarios (RCP4.5 and RCP8.5) that would cover periods (2050s and 2070s). This paper discussed the main environmental factors that could limit the geographical distribution of P. koraiensis, identified potential biological sanctuaries, and predicted how the distribution of P. koraiensis might change under future climate change scenarios. Result: The prediction result from the MaxEnt model was reliable, and the average AUC values of the training dataset and test dataset were both greater than 0.99, indicating high reliability. Precipitation of warmest quarter (Bio18), temperature seasonality (Bio4) and precipitation seasonality (Bio15) were the main variables that limited the distribution of P. koraiensis, with contribution rates of 40.6%, 28.9% and 24.6%, respectively. The current suitable distribution areas of P. koraiensis included the Great Khingan Mountains, Lesser Khingan Mountains and Changbai Mountains in China. The suitable areas of P. koraiensis during the LIG, LGM and MH periods expanded by 107.78%, 110.28% and 105.25%, respectively. From the LIG to the present, its distribution centre followed a migratory trend toward the southeast, then to the northeast, and then to the southwest. The suitable distribution area of P. koraiensis under the future climate scenario shows a decreasing trend. The suitable area under the RCP4.5-2050s, RCP4.5-2070s, RCP8.5-2050s and RCP8.5-2070s scenarios would decrease to 99.06%, 96.88%, 98.05% and 95.08% compared to the current period, respectively. The highly suitable area shows a fragmented distribution. The population distributed in the hinterland of Changbai Mountains and Lesser Khingan Mountains would be relatively stable. Conclusion: Precipitation has a greater influence on the distribution range of P. koraiensis than temperature. P. koraiensis population has expanded during the LIG and shrunken continuously from the MH into the modern era. Based on population genetic diversity, the prediction of suitable areas and sporopollen fossils, it is speculated that the hinterlands of Changbai Mountains and the Lesser Khingan Mountains are the interglacial refuges for P. koraiensis. During future climate scenarios, the suitable distribution area of P. koraiensis will be reduced, and the distribution centre will migrate to high altitudes and high latitudes. The priority should be given to protecting the marginal populations in the northern to central Great Khingan Mountains, the western part of Changbai Mountains and the northern part of Zhangguangcai Mountains.

Key words: Picea koraiensis, maximum entropy model, climate change, suitable areas.

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