资源科学 ›› 2021, Vol. 43 ›› Issue (6): 1248-1259.doi: 10.18402/resci.2021.06.15

• 气候资源 • 上一篇    下一篇

白洋淀流域NDVI时空演变及其对气候变化的响应

陈婷1(), 夏军1,2, 邹磊2, 闫强3   

  1. 1.武汉大学水资源与水电工程科学国家重点实验室,武汉 430072
    2.中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京 100101
    3.中国地质科学院矿产资源研究所全球矿产资源战略研究中心,北京 100037
  • 收稿日期:2020-08-27 修回日期:2020-12-01 出版日期:2021-06-25 发布日期:2021-08-25
  • 作者简介:陈婷,女,江苏盐城人,硕士研究生,研究方向为流域水文。E-mail: Chenting123@whu.edu.cn
  • 基金资助:
    美丽中国生态文明建设科技工程专项(XDA23040304);地质矿产调查评价项目(DD20190652)

Spatiotemporal variations of NDVI of different vegetation types in the Baiyangdian Basin under the background of climate change

CHEN Ting1(), XIA Jun1,2, ZOU Lei2, YAN Qiang3   

  1. 1. State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China
    2. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    3. Center for Strategic Research on Global Mineral Resources,Institute of Mineral Resources, CAGS, Beijing 100037, China
  • Received:2020-08-27 Revised:2020-12-01 Online:2021-06-25 Published:2021-08-25

摘要:

了解植被覆盖的动态变化及其对气候变化的响应,对区域生态环境的保护和建设具有重要意义。基于SPOT/VEGETATION NDVI数据,本文采用Sen+Mann-Kendall、波动性分析和相关性分析等多元统计方法,探究了2001—2018年间白洋淀流域全区和不同植被类型区NDVI时空演变特征及其对气候变化响应的差异性。结果表明:①2001—2018年白洋淀流域NDVI以0.0031/a的速率增长,显著增长(P<0.05)的区域面积比例为53.79%;针叶林、阔叶林、灌丛、草原、草丛和草甸NDVI呈显著增长(P<0.05),沼泽和栽培植物NDVI增长趋势不显著。②全流域NDVI总体波动性较小,67.81%的区域NDVI为显著低波动性(P<0.05);除草原和草甸外,其余植被类型NDVI为显著低波动性的面积比例均超过50%。③除沼泽和栽培植物外,其余各植被类型NDVI对降水的响应较为一致,呈现显著正相关(P<0.05);气温在流域尺度和不同植被类型区内对NDVI的影响均不显著。本文结果对于理解气候变化对植被生长的作用机理和开展区域生态环境保护及治理有一定意义。

关键词: 植被类型, NDVI, 气候变化, 波动性分析, 相关性分析, 白洋淀流域

Abstract:

Understanding the dynamic changes of vegetation cover and its response to climate change is of great significance for the protection and construction of regional ecological environments. Based on the SPOT/VEGETATION NDVI data, the spatiotemporal variation characteristics of NDVI and its response to climate change between 2001-2018 in the whole area as well as in different types of vegetation cover zones of the Baiyangdian Basin were analyzed by using Sen+Mann-Kendall trend analysis, fluctuation analysis, and correlation analysis. The results indicate that: (1) From 2001 to 2018, vegetation NDVI in the whole region showed an increasing trend, with an increase rate of 0.0031/a, and 53.79% area passed the significance test (P<0.05). The NDVI of coniferous forests, broad-leaved forests, bushland, grassland, and meadows showed an obvious increasing trend (P<0.05), but the NDVI of swamp and cultivated land did not show obvious change. (2) The fluctuation of vegetation NDVI in the whole region was low. The fluctuation of NDVI was significantly low in 67.81% area of the region (P<0.05). Except in grassland and meadows, significantly low fluctuation was observed at over 50% of the area in all other vegetation types. (3) There was a weak correlation between NDVI and temperature. Except for swamp and cultivated land, the response of NDVI to precipitation was more consistent for the remaining vegetation types, with a significant positive correlation (P<0.05). The effect of temperature on NDVI was not significant at the watershed scale and in different vegetation types. The results of this study have certain significance for understanding the mechanism of impact of climate change on vegetation growth and for regional ecological environment protection and governance.

Key words: vegetation types, NDVI, climate change, fluctuation analysis, correlation analysis, Baiyangdian Basin