院报 ›› 2023, Vol. 40 ›› Issue (5): 77-84.DOI: 10.11988/ckyyb.20220041

• 水土保持与生态修复 • 上一篇    下一篇

川西高原植被物候及其对气候变化的响应

王叶兰1, 杨鑫1,2, 郝利娜1   

  1. 1.成都理工大学 地球科学学院,成都 610059;
    2.地球勘探与信息技术教育部重点实验室,成都 610059
  • 收稿日期:2022-01-14 修回日期:2022-04-24 出版日期:2023-05-01 发布日期:2023-05-22
  • 通讯作者: 杨鑫(1984-),男,宁夏中卫人,副教授,博士,研究方向为“3S”技术在地学中的应用。E-mail:yangxin2012@cdut.edu.cn
  • 作者简介:王叶兰(1998-),女,四川古蔺人,硕士研究生,主要研究方向为生态遥感。E-mail:1747473516@qq.com
  • 基金资助:
    中国博士后科学基金第13批特别项目(2020T130074);中国博士后科学基金项目(二等) (2017M622982)

Phenology of Vegetation and Its Response to Climate Change in the Western Sichuan Plateau

WANG Ye-lan1, YANG Xin1,2, HAO Li-na 1   

  1. 1. College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China;
    2. Key Laboratory of Earth Exploration and Information Technology, Ministry of Education, Chengdu 610059, China
  • Received:2022-01-14 Revised:2022-04-24 Online:2023-05-01 Published:2023-05-22

摘要: 为探究2001—2020年川西高原植被物候时空变化及其对气候变化的响应,利用MODIS NDVI数据、植被区划数据、数字高程数据以及气象数据,通过Savitzky-Golay滤波以及动态阈值法,提取了川西高原2001—2020年植被生长季始期(SOS)、生长季末期(EOS)以及生长季长度(LOS), 结合月平均气温与降水量,探讨了植被物候与气候因子(月平均气温、降水量)之间的关系。结果表明:①川西高原植被SOS主要集中在第90—第130天, EOS主要集中在第260—第290天,LOS主要为130~190 d;随着海拔不断升高,植被SOS呈提前趋势、EOS呈推迟趋势、LOS呈延长趋势。②植被SOS呈提前趋势的面积占60.56%;植被EOS呈推迟趋势的面积占51.21%;植被LOS呈延长趋势的面积占60.75%,其中7.19%呈显著延长趋势。③川西高原植被SOS与春季2—4月份平均气温呈负相关, 且存在较大的时空差异性;植被EOS与10月份平均温度、11月份降水量呈显著正相关;6月份平均气温和8月份降水对LOS的正向影响较大。整体来说,川西高原植被物候在不同植被区划具有明显的分布规律。研究成果可为高原地区植被物候变化规律研究提供参考。

关键词: 植被物候, 川西高原, 气温, 降水量, 动态阈值法

Abstract: The aim of this research is to investigate the spatiotemporal changes in vegetation phenology and their response to climate change in the Western Sichuan Plateau from 2001 to 2020 and provide insights for the study of vegetation phenology changes in the plateau. Based on MODIS NDVI data, vegetation zoning data, digital elevation data, and meteorological data, we extracted the SOS (start of the growing season), EOS (end of the growing season), and LOS (length of growing season) of vegetation by using the Savitzky-Golay filter and dynamic threshold method. We then explored the relationship between vegetation phenology and climatic factors, such as monthly mean temperature and precipitation. Results indicate that 1) the SOS, EOS, and LOS of vegetation in the Western Sichuan Plateau were mainly concentrated in the 90th to 130th days, 260th to 290th days, and 130-190 d, respectively. As altitude increased, the SOS trended towards an advance, while EOS trended towards a delay, and LOS trended towards an extension. 2) Specifically, 60.56% of the vegetation area exhibited an advanced SOS trend, 51.21% a delayed EOS, and 60.75% a prolonged LOS, of which 7.19% showing a significant prolonged LOS trend. 3) The SOS of vegetation was negatively correlated with mean temperature from February to April, displaying significant spatio-temporal differences. Additionally, a significant positive correlation was found between EOS and average temperature in October, and precipitation in November. Moreover, average temperature in June and precipitation in August had a significant positive effect on LOS. Overall, the phenology of vegetation in the Western Sichuan Plateau displayed distinct distribution rules in different vegetation divisions.

Key words: vegetation phenology, Western Sichuan Plateau, temperature, precipitation, dynamic threshold method

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