基于MODIS-EVI的西南地区植被覆盖时空变化及驱动因素研究
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家重点研发计划项目(2016YFC0502102);第二次青藏高原综合科学考察研究(2019QZKK0308);中国科学院战略性先导科技专项课题(XDA20020402);中国科学院青年创新促进会(2018056)


Spatio-temporal dynamics of fractional vegetation coverage based on MODIS-EVI and its driving factors in Southwest China
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 文章评论
    摘要:

    基于MODIS-EVI和气象数据,利用最大值合成法、像元二分模型、趋势分析和相关分析等方法,探讨了西南地区2001-2015年植被覆盖时空变化特征及其对气候因子的响应,并分析了温度和降水对植被覆盖时空变化的驱动作用。结果表明:(1)2001-2015年,西南地区植被EVI以0.1%/a的变化率呈波动增加趋势,但空间异质性显著,呈现出从东南向西北逐渐递减的趋势;(2)西南地区以高和极高植被覆盖度为主,极低植被覆盖度区域约占研究区总面积的8.6%,植被覆盖度增加的区域集中分布在广西省北海-钦州、贵州省邵通-毕节-遵义、四川省广元-广安以及西藏那曲等地区,植被覆盖度呈减少趋势区域主要集中在西藏拉萨-阿里地区和四川成都-阿坝州-甘孜州等地区;(3)植被EVI与同期温度和降水相关性较好,均以正相关为主。在0.05显著水平下,受降水驱动的区域呈斑块状分布在西藏自治区和青海省交界处,以及云南和广西部分地区,约占研究区总面积的3.4%;受温度驱动的区域零星分布在各省、自治区,约占研究区总面积的1.6%;受温度和降水共同驱动的区域约占研究区总面积的7.2%,主要分布在西藏自治区的阿里地区北部,青海省的三江源地区以及四川和贵州两省交界处的小部分地区;西南地区大部分区域的植被EVI指数变化表现为非气候因素驱动。

    Abstract:

    Based on MODIS-EVI and meteorological data, methods of Maximum Value Composite (MVC), dimidiate pixel model, trend analysis, and correlation analysis were used to investigate the temporal and spatial changes of Fractional Vegetation Coverage (FVC) and to clarify driving factors on dynamic changes of enhanced vegetation index (EVI) from 2001 to 2015 in Southwest China. Our results showed that: (1) from 2001 to 2015, the EVI in Southwest China showed a volatility increasing trend with the change rate of 0.1%/a. However, the spatial heterogeneity of EVI dynamic was significant, showing a trend of gradually decreasing from southeast to northwest of the study area. (2) Southwest China was dominated by the high and extremely high FVC types, while the areas of extremely low FVC only accounted for about 8.6% of the study area. The areas with increased FVC were concentrated in Beihai-Qinzhou of Guangxi Autonomous Region, Shaotong-Bijie-Zunyi of Guizhou Province, Guangyuan-Guang'an of Sichuan Province and Naqu of Tibet Autonomous Region. The areas with decreased FVC were mainly located in the Lhasa-Ali of Tibet Autonomous Region and Chengdu-Aba-Garzê of Sichuan Province. (3) The changes of the EVI had positive correlations with temperature and precipitation from 2001 to 2015. At a significant level of 0.05, the areas with EVI changes mainly driven by precipitation accounted for about 3.4% of the study area, which were distributed in patches at the junction of Qinghai Province and Tibet Autonomous region, as well as some parts of Yunnan and Guangxi Province. The areas with EVI changes mainly driven by temperature accounted for about 1.6% of the study area, which were distributed sporadically throughout Southwest China. Moreover, the areas with EVI changes mainly driven by both temperature and precipitation accounted for approximately 7.2% of the study area, which were distributed in the northern Ali area of Tibet Autonomous region, the Sanjiangyuan headwater area of Qinghai Province, and the junction of Sichuan and Guizhou Provinces. Therefore, the EVI dynamics were mainly driven by non-climate factors in most areas of Southwest China.

    参考文献
    相似文献
    引证文献
引用本文

李美丽,尹礼昌,张园,苏旭坤,刘国华,王晓峰,奥勇,伍星.基于MODIS-EVI的西南地区植被覆盖时空变化及驱动因素研究.生态学报,2021,41(3):1138~1147

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数: