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林业科学 ›› 2024, Vol. 60 ›› Issue (11): 48-62.doi: 10.11707/j.1001-7488.LYKX20230540

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云南3种松树径向生长的气候因子响应异质性

申佳艳1,2,3,4,范泽鑫2,张慧2,彭新华2,李金花5,余潇5,杨文雄5,李云芳6,李新宇7,刘悦宁7,苏建荣1,3,4,*()   

  1. 1. 中国林业科学研究院高原林业研究所 昆明 650233
    2. 中国科学院西双版纳热带植物园 热带森林生态学重点实验室 勐腊 666303
    3. 国家林业和草原局云南普洱森林生态系统国家定位观测研究站 普洱 665000
    4. 普洱森林生态系统云南省野外科学观测研究站 普洱 665000
    5. 西南林业大学 昆明 650233
    6. 云南云龙天池国家级自然保护区管护局 云龙 672700
    7. 威远江省级自然保护区管护局 景谷 666400
  • 收稿日期:2023-11-13 出版日期:2024-11-25 发布日期:2024-11-30
  • 通讯作者: 苏建荣 E-mail:.jianrongsu@vip.sina.com
  • 基金资助:
    国家自然科学基金项目(32201523);科技部科技基础资源调查专项课题(2022FY100201);中国林业科学研究院中央级公益性科研院所基本科研业务费专项(CAFYBB2022SY036);云南省基础研究专项(202301AU070017)。

Response Heterogeneity of Radial Growth of the Three Pine Species to Climate Factors in Yunnan Province

Jiayan Shen1,2,3,4,Zexin Fan2,Hui Zhang2,Xinhua Peng2,Jinhua Li5,Xiao Yu5,Wenxiong Yang5,Yunfang Li6,Xinyu Li7,Yuening Liu7,Jianrong Su1,3,4,*()   

  1. 1. Institute of Highland Forest Science, Chinese Academy of Forestry Kunming 650233
    2. Key Laboratory of Tropical Forest Ecology Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences Mengla 666303
    3. Pu’er Forest Ecosystem Research Station, National Forestry and Grassland Administration Pu’er 665000
    4. Pu’er Forest Ecosystem Observation and Research Station of Yunnan Province Pu’er 665000
    5. Southwest Forestry University Kunming 650233
    6. Yunnan Yunlong Tianchi National Nature Reserve Authority Yunlong 672700
    7. Weiyuanjiang Provincial Nature Reserve Authority Jinggu 666400
  • Received:2023-11-13 Online:2024-11-25 Published:2024-11-30
  • Contact: Jianrong Su E-mail:.jianrongsu@vip.sina.com

摘要:

目的: 探究云南高原高山松、云南松和思茅松3种松树径向生长对区域气候因子的响应和适应性特征,为预测气候变化背景下西南林区树木生长动态及各树种地理分布区变化提供指导,为区域森林保护和管理提供理论依据。方法: 根据树木年轮学方法,采集各树种分布区内树轮样本,构建树轮宽度年表,结合各采样点1958—2018年的气温、降水、帕尔默干旱指数等气象资料,利用响应分析、多元回归分析和滑动相关分析等方法,确定影响3种松树径向生长的关键气候因子及其对气候变化的响应差异。结果: 3种松树采样点的气候均呈暖干化特征。限制松树径向生长的关键因子对高山松为当年5月降水量和1月平均气温,其对回归模型方差解释率的贡献分别达59.8%和27.5%;对云南松为上一年10月、12月和当年1月降水量,其对回归模型方差解释率的贡献分别达38.8%、15.4%和25.4%;对思茅松为当年生长季(7月)、上一年和当年生长季后期(9月)降水量,其对回归模型方差解释率的贡献分别达53.8%、30.9%和15.3%。云南松径向生长对干旱的敏感性高于高山松和思茅松。气候暖干化使高山松对生长季初期(5月)气温和降水量的敏感性增强;使云南松对生长季初期(5月)降水量的敏感性减弱,对生长季(8月)气温的敏感性增强;使思茅松对7月平均气温、平均最高温度的敏感性减弱,对上一年生长季后期(9月)降水量的敏感性增强。气候变暖使3种松树径向生长与气候因子的响应关系变得不稳定,主要发生在各采样点气候突变时间段,与区域气候波动同步,且不同树种具有一致性。结论: 高山松和思茅松对干旱的适应性强于云南松。气候变暖使气温对高海拔区高山松径向生长的促进效应减弱,使云南松对生长季初期低降水敏感转变为对生长季低温敏感;气候变暖抑制思茅松生长季充足水分条件的促生长作用,增强气候因子对径向生长影响的滞后效应,使3种松树对气候因子响应的敏感性变得不稳定。

关键词: 高山松, 云南松, 思茅松, 年轮, 气候变化, 气候响应, 敏感性, 稳定性

Abstract:

Objective: This study aims to investigate the response characteristics and adaptability of three main pine species (Pinus densata, Pinus yunnanensis, and Pinus kesiya var. langbianensis) to regional climate change in Yunnan, for guiding the prediction of forest growth dynamics in southwest China in the context of climate change, and providing a theoretical basis for forest protection and management in this area. Method: According to the standardized dendrochronological methods, tree ring samples were collected in the distribution areas of various tree species to construct tree-ring chronologies. Combined with climate data including temperature, precipitation, and Palmer drought index at each sampling point from 1958 to 2018, response analysis, multiple regression analysis, and moving correlation analysis were used to determine the critical climate factors affecting the radial growth of the three pine species and their differences in response to climate change. Result: The climate at the sampling sites of the three pine species was warming and drying. The key factors limiting radial growth of P. densata were the precipitation in May and the mean temperature in January, which contributed 59.8% and 27.5% to the variance interpretation rate of the regression model. The critical factors limiting radial growth of P. yunnanensis were the precipitation in October, December of the previous year and January, which contributed 38.8%, 15.4% and 25.4% respectively to the variance interpretation rate of the regression model. The critical factors limiting radial growth of P. kesiya var. langbianensis were the precipitation in the current growing season (July), and precipitation in late growing season (September) of the previous year and current year, and their contribution to the variance interpretation rate of the regression model reached 53.8%, 30.9% and 15.3%, respectively. The radial growth of P. yunnanensis trees was more sensitive to drought than that of P. densata and P. kesiya var. langbianensis trees. Warming and drying enhanced the sensitivity of P. densata to temperature and precipitation in early growing season (May), warming and drying weakened the sensitivity of P. yunnanensis to precipitation in early growing season (May) and enhanced the sensitivity to temperature in growing season, and warming and drying weakened the sensitivity of P. kesiya var. langbianensis to mean and maximum temperature in July and enhanced the sensitivity to precipitation in late growing season (September) of previous year. Climate warming caused the response relationship between radial growth of each pine species and climate factors unstable, which occurred during the period of climate change, synchronized with regional climate fluctuations, and had consistency among different pine species. Conclusion: P. densata and P. kesiya var. langbianensis trees have stronger adaptability to droughts than P. yunnanensis trees. Climate warming weakens the promoting effects of temperature on radial growth of P. densata at high altitude. Warming transforms the sensitivity of P. yunnanensis from being sensitive to low precipitation in early growing season to being sensitive to low temperatures in growing season. Climate warming inhibits the promotion effect of sufficient water conditions on radial growth of P. kesiya var. langbianensis in the growing season, and enhances the lag effect of climate factors on radial growth. The response sensitivity of the three pine species to climate factors becomes unstable due to climate warming.

Key words: Pinus yunnanensis, Pinus densata, Pinus kesiya var. langbianensis, annual rings, climate change, climate response, sensitivity, stability

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