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应用生态学报 ›› 2021, Vol. 32 ›› Issue (6): 2089-2097.doi: 10.13287/j.1001-9332.202106.016

• 研究论文 • 上一篇    下一篇

秦岭山区植被春季物候的海拔敏感性

李建豪1,2, 陶建斌1,2*, 程波1,2, 吴琪凡1,2, 彭宏杰1,2   

  1. 1地理过程分析与模拟湖北省重点实验室, 武汉 430079;
    2华中师范大学城市与环境科学学院, 武汉 430079
  • 收稿日期:2020-10-15 接受日期:2021-03-01 发布日期:2021-12-15
  • 通讯作者: * E-mail: taojb@mail.ccnu.edu.cn
  • 作者简介:李建豪, 男, 1994年生, 硕士研究生。主要从事植被物候学研究。E-mail: 18539156326@163.com
  • 基金资助:
    国家自然科学基金项目(41971371)资助

Sensitivity of spring phenology to elevation in Qinling Mountains, China

LI Jian-hao1,2, TAO Jian-bin1,2*, CHENG Bo1,2, WU Qi-fan1,2, PENG Hong-jie1,2   

  1. 1Hubei Province Laboratory for Geographical Process Analyzing & Modeling, Wuhan 430079, China;
    2College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
  • Received:2020-10-15 Accepted:2021-03-01 Published:2021-12-15
  • Contact: * E-mail: taojb@mail.ccnu.edu.cn
  • Supported by:
    National Natural Science Foundation of China (41971371).

摘要: 植被物候作为自然界规律性、周期性的现象,对自然环境尤其是气候变化有着重要的指示作用,研究其时空变化特征对陆地植被生态环境监测具有重要意义。本研究采用Savitzky-Golay滤波法重建秦岭山区2001—2018年MODIS增强植被指数时间序列影像,利用动态阈值法提取研究区春季物候信息(返青期),并对返青期多年平均值和年际变化与海拔、坡度进行相关分析。结果表明: 海拔每升高100 m,植被返青期推迟1.82 d;返青期的年际变化趋势主要集中在0~5 d·(10 a)-1。其中,呈推迟趋势的像元主要分布在低海拔地区,呈提前趋势的像元主要分布在高海拔地区。高海拔地区返青期的年际变化比低海拔地区复杂;秦岭山区植被返青期存在南北差异。北坡植被返青期多年平均值较南坡早2.9 d,南坡植被返青期的推迟程度大于北坡。南北坡植被返青期的年际变化在低海拔地区呈推迟趋势,且南北坡相差不大,而提前趋势在中高海拔地区存在显著差异。

关键词: 秦岭山区, MODIS EVI, 植被返青期, 海拔, 南北差异

Abstract: Vegetation phenology, a regular and periodic phenomenon in nature, is an important indicator for natural environment, especially climate change. The study of spatiotemporal variations of vegetation phenology is of great significance for monitoring the changes of terrestrial vegetation. In this study, the Savitzky-Golay (S-G) filtering method was used to reconstruct time-series MODIS enhanced vegetation index (EVI) data in the Qinling Mountains from 2001 to 2018. The dynamic threshold method was used to extract the spring phenological parameter (start of growth season, SOS). The correlation between multi-year mean SOS and interannual variation with altitude and slope was analyzed. The results showed that SOS was delayed by 1.82 d with every 100 m increase in altitude in the Qinling Mountains. The interannual change trends of SOS mainly concentrated in 0-5 d·(10 a)-1. The pixels with delaying trend were mainly distributed in low-altitude regions, with the delaying degree being gradually decreased with the elevation. The interannual change trend of SOS in high-altitude regions was more complex than that in lower-altitude regions. The multi-year average SOS in the northern slope was approximately 2.9 d earlier than that of the southern slope, whereas the southern slope had a more significant advancing trend. The interannual change trends of SOS in both north and south slopes showed a delaying trend in low-altitude, with little difference between north and south slopes. The advancing trend in middle and high altitude was significantly different.

Key words: Qinling Mountains, MODIS EVI, SOS, altitude, north-south difference