植物生态学报 ›› 2022, Vol. 46 ›› Issue (1): 18-26.DOI: 10.17521/cjpe.2021.0163

所属专题: 全球变化与生态系统 青藏高原植物生态学:生态系统生态学

• 研究论文 • 上一篇    下一篇

气候因子对青藏高原植被生长的时间效应

刘宁1,2, 彭守璋3,*(), 陈云明3   

  1. 1中国科学院水利部水土保持研究所, 陕西杨凌 712100
    2中国科学院大学, 北京 100049
    3西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌 712100
  • 收稿日期:2021-04-28 接受日期:2021-08-19 出版日期:2022-01-20 发布日期:2022-04-13
  • 通讯作者: 彭守璋
  • 作者简介:*(szp@nwsuaf.edu.cn)
  • 基金资助:
    第二次青藏高原综合科学考察研究项目(2019QZKK0603);国家自然科学基金(42077451)

Temporal effects of climate factors on vegetation growth on the Qingzang Plateau, China

Ning LIU1,2, Shou-Zhang PENG3,*(), Yun-Ming CHEN3   

  1. 1Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
    2University of Chinese Academy of Sciences, Beijing 100049, China; and 3 State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling, Shaanxi 712100, China
  • Received:2021-04-28 Accepted:2021-08-19 Online:2022-01-20 Published:2022-04-13
  • Contact: Shou-Zhang PENG
  • Supported by:
    the Second Tibetan Plateau Scientific Expedition and Research (STEP) Program(2019QZKK0603);the National Natural Science Foundation of China(42077451)

摘要:

植被生长与气候存在着不对称的时间关系, 考虑气候因子对植被生长的时间效应可为准确理解植被与气候关系、预测植被对全球气候变化的动态响应提供重要科学依据。该研究基于MODIS归一化植被指数(NDVI)、气候以及植被类型数据, 通过构建气候与植被NDVI之间的4种时间效应方程, 揭示了气候因子对青藏高原植被生长的时间效应以及影响植被生长的主导因子。在4种时间效应中, 同时考虑气候滞后和累加效应对植被生长的解释度最高(47%), 相比于不考虑时间效应, 其解释度可整体提高4%-18%; 同时考虑气候滞后和累加效应时, 青藏高原有超过43%的区域受时间滞后与累加联合效应的影响, 只受时间累加效应或滞后效应影响的区域面积次之, 而不受时间效应影响的区域面积最小; 青藏高原NDVI与降水的偏相关性整体上高于其与气温的偏相关性, 其中降水占主导地位的区域主要分布在青藏高原东北部和西南部, 面积占比约为40.1%, 而气温占主导地位的区域集中在青藏高原中部和东南部, 面积占比约为29.7%。

关键词: 气候因子, 归一化植被指数(NDVI), 时间滞后效应, 时间累加效应, 青藏高原

Abstract:

Aims The relationships between temporal changes in vegetation growth and climate change tend to be asymmetric. Considering the temporal effects of climate factors on vegetation growth can provide important scientific basis for accurately understanding vegetation-climate relationships and predicting the dynamic responses of vegetation to global climate change. Methods Based on the MODIS normalized difference vegetation index (NDVI), climate, and vegetation type data, this study investigated the temporal effects of climate factors on vegetation growth and the dominant factors influencing vegetation growth on the Qingzang Plateau through establishing four temporal effects equations between climate and vegetation NDVI. Important findings Among the four temporal effects, models considering both time lag and accumulation effects had the highest explanation degree (47%). Compared with model without considering temporal effect, the explanation power of the time lag and accumulation effects on vegetation would increase by 4%-18%. Vegetation dynamics on more than 43% of the Qingzang Plateau was dominated by the combined effects of time lag and accumulation, followed by the area only affected by time accumulation or lag effects, and the area without time effect. The partial correlation coefficient between NDVI and precipitation (0.25 ± 0.56) was overall higher than it between NDVI and temperature (0.08 ± 0.6). The areas dominated by the precipitation were mainly distributed on the northeast and southwest of the Qingzang Plateau with an area ratio of 40.1%, whereas the areas dominated by temperature were largely distributed on the center and southeast of the Qingzang Plateau with an area ratio of 29.7%. These research results can provide basic judgments for the relationships between vegetation growth and climate on the Qingzang Plateau.

Key words: climate factor, normalized difference vegetation index (NDVI), time lag effect, time accumulation effect, Qingzang Plateau