干旱区研究

干旱区研究 ›› 2018, Vol. 35 ›› Issue (6): 1418-1426.doi: 10.13866/j.azr.2018.06.19

• 生物资源 • 上一篇    下一篇

巴音布鲁克地区植物物候时空动态变化及其驱动分析

高庆1,2, 艾里西尔·库尔班1, 肖昊1,2   

  1. 1.中国科学院新疆生态与地理研究所,新疆 乌鲁木齐 830011;
    2.中国科学院大学,北京 100049
  • 收稿日期:2018-01-24 修回日期:2018-03-16 出版日期:2018-11-15 发布日期:2025-11-18
  • 通讯作者: 艾里西尔·库尔班. E-mail: alishir@ms.xjb.ac.cn
  • 作者简介:高庆(1989-), 男, 在读硕士研究生.主要从事遥感应用研究. E-mail: gaoqing215@mails.ucas.ac.cn
  • 基金资助:
    国家重点研发计划(2017YFB0504204);国家自然科学基金(31570536)

Spatiotemporal Variation of Vegetation Phenology and Its Driving Factors in the Bayanbuluk Region

GAO Qing1,2, Alishir Kurban1, XIAO Hao1,2   

  1. 1. Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang,China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2018-01-24 Revised:2018-03-16 Published:2018-11-15 Online:2025-11-18

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摘要： 植物物候是反映气候变化最显著、直观的指标,对理解气候变化与植物物候的相互作用具有重要的意义。而不同的生态系统对气候变化的响应和反馈存在差异,科学分析气候变化趋势下多种生态系统植物物候变化特征及其驱动因子对理解植物物候变化机制具有重要意义。本文选取多种生态系统交错分布的巴音布鲁克为研究区域,基于MODIS NDVI时间序列,得到了研究区物候的空间格局特征、时空变化特征以及与海拔和气候因子之间的关系。结果表明:① 研究区植被返青期主要于4月上旬至5月下旬,枯黄期主要于9月中旬至10月中旬;② 2001—2017年,研究区植物返青期总体上呈提前趋势,其中草原、草甸和沼泽提前显著。枯黄期在北部呈提前趋势,在南部呈推迟趋势,其中高山植被和草原枯黄期提前显著;③ 植被的返青期总体上随着海拔的升高而推迟,枯黄期总体上随着海拔的升高而提前,各生态系统植被间的物候期差异随着海拔的升高而缩短。④ 研究区植物返青期与春季气温呈显著负相关,其中高山植被受5月气温影响较大,草原和沼泽受4月气温影响较大,草甸受4月和5月气温影响较大。

关键词: 植物物候, NDVI, 空间格局, 气候变化, 巴音布鲁克, 新疆

Abstract: Vegetation phenology is the most significant and intuitive indicator of climate change, and it is of great significance for understanding the interaction between climate change and vegetation phenology. The response and feedback of different ecosystems to climate change are different. It is of great significance for understanding the mechanism of phenological change to explore the relationship between spatiotemporal variation of vegetation phenology and its driving factors in various ecosystems under climate change. In this study, the Bayinbuluke with a variety of ecosystems was selected as the study area. The MODIS NDVI time-series data during the period of 1989-2011 were used to get the spatial distribution and spatiotemporal variation of vegetation phenology, and to analyze its relationship with elevation and climate factors. The results showed that: ① The beginning time of vegetation growth season was mainly from early April to mid-May, and the ending time was mainly from mid-September to mid-October; ② The beginning time of vegetation growth season in most regions of the study area became earlier during the period of 2001-2017, and that of the grassland, meadow and swamp became significantly earlier except for the alpine vegetation. The ending time of vegetation growth season became earlier in the north of the study area but was delayed in the south, and that of the alpine vegetation and grassland became significantly earlier; ③ On the whole, the beginning time of vegetation growth season was delayed but the ending time became earlier with the increase of elevation, and phenological difference among different ecosystems was decreased with the increase of elevation; ④ There was a negative correlation between the beginning time of vegetation growth season and the spring temperature. The beginning time of growth season of alpine vegetation was significantly affected by temperature in May, that of grassland and swamp by temperature in April, and that of meadow by temperature in April and May.

Key words: vegetation phenology, NDVI, spatial pattern, climate change, Bayanbuluk, Xinjiang