生态与农村环境学报 ›› 2019, Vol. 35 ›› Issue (3): 307-315.doi: 10.19741/j.issn.1673-4831.2018.0430

• 区域环境与发展 • 上一篇    下一篇

阿尔泰山地森林草原生态功能区植被覆盖对气候变化的响应

叶尔纳尔·胡马尔汗1,2, 徐向华1, 迪丽努尔·托列吾别克3, 李海东2   

  1. 1. 南京信息工程大学应用气象学院, 江苏 南京 210044;
    2. 生态环境部南京环境科学研究所, 江苏 南京 210042;
    3. 中国气象局乌鲁木齐沙漠气象研究所, 新疆 乌鲁木齐 830002
  • 收稿日期:2018-07-23 出版日期:2019-03-25 发布日期:2019-04-25
  • 通讯作者: 徐向华, 李海东 E-mail:xianghua_xu@163.com;lihd2020@163.com
  • 作者简介:叶尔纳尔·胡马尔汗(1990-),男,哈萨克族,新疆乌鲁木齐人,硕士生,主要从事气候变化与生态环境遥感研究。E-mail:yernar07@sina.com
  • 基金资助:

    中央级公益性科研院所基本科研业务专项(GYZX190101);生态环境部部门预算项目"生物多样性保护应对气候变化研究"(2024004088006);国家重点研发计划(2018YFD1100104)

Response of Vegetation Coverage to Climate Change in Altai Mountain Forest and Grassland Ecological Function Area in Xinjiang, China

YEERNAER Humaerhan1,2, XU Xiang-hua1, DILINUER Tuoliewubieke3, LI Hai-dong2   

  1. 1. School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, China;
    2. Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China;
    3. Institute of Desert and Meteorology, China Meteorological Administration, Urumqi 830002, China
  • Received:2018-07-23 Online:2019-03-25 Published:2019-04-25

摘要:

新疆阿尔泰山地森林草原生态功能区(简称阿尔泰生态功能区)是《全国主体功能区规划》中明确的8个水源涵养型重点生态功能区之一,但其植被生态系统对气候变化敏感而脆弱。为了解气候变化背景下阿尔泰生态功能区植被生长状况,基于1986-2015年阿尔泰生态功能区7个气象站气温和降水量、植被覆盖以及植被类型数据,采用遥感技术和相关分析方法,研究阿尔泰生态功能区植被覆盖对气候变化的响应关系。结果表明:(1)1986-2015年阿尔泰生态功能区年平均气温整体呈现明显上升趋势,倾向率为0.34℃·(10 a)-1;年降水量整体呈波动循环上升趋势,倾向率为6.19 mm·(10 a)-1;年平均归一化差分植被指数(NDVI)值整体呈现缓慢下降趋势,倾向率较小,为-0.001(10 a)-1;生长季NDVI呈明显上升趋势,倾向率为0.002(10 a)-1。(2)1986-2015年阿尔泰山生态功能区植被覆盖总体保持稳定,NDVI变化率为-0.001(10 a)-1~0.001(10 a)-1的区域面积占研究区总面积的60.4%;植被覆盖显著减少,即NDVI变化率<-0.002(10 a)-1的区域面积占总面积的3.1%,主要分布在西北阿尔泰山区;植被覆盖显著增加,即NDVI变化率>0.002(10 a)-1的区域面积占总面积的2.1%,主要分布在东南和中部地区。(3)1986-2015年阿尔泰生态功能区植被覆盖对降水量变化的响应大于气温变化。NDVI变化对气温和降水量变化存在一定滞后性现象,不同时段NDVI变化表现出不同的滞后期。

关键词: 国家重点生态功能区, 气候变化, NDVI, 滞后性, 相关性, 新疆

Abstract:

Xinjiang Altai Mountain Forest and Prairie Ecological Functional Area (referred as Altai Ecological Function Area hereafter) is one of the eight key water conservation ecological function areas defined by the Major Function Oriented Zoning of China. Understanding the responses of vegetation growth to climate change in the area is extremely important due to the strong sensitivity and vulnerability of the vegetation ecosystem in the area. Weather (temperature and precipitation) and vegetation (coverage and type) data (1986-2015) that derived from 7 meteorological stations across the Altai Ecological Function Area and the remote sensing data were used in this study for identifying the response relationship of vegetation coverage to climate change in the area. The results show that:(1) During the period of 1986-2015, changes in mean annual temperature (MAT) in the area represented as a significant upward trend, with a tendency rate of 0.34℃·(10 a)-1, while the mean annual precipitation (MAP) showed a cycle fluctuation increasing trend, with a tendency rate of 6.19 mm·(10 a)-1; The mean annual normalized difference vegetation index (NDVI) showed a slow overall downward trend, with a small tendency rate of -0.001 (10 a)-1; Meanwhile, the NDVI showed a significant upward trend during the growing season, with a tendency rate of 0.002 (10 a)-1. (2) Vegetation coverage in the area remained stable over the period of 1986-2015. The areas with rate of NDVI change -0.001 (10 a)-1 to 0.001 (10 a)-1 covered approximately 60.4% of the study area; The areas with significantly-declined vegetation coverage[rate of NDVI change <-0.002 (10 a)-1] covered approximately 3.1% of the area, and were mainly distributed in the northwestern parts of Altai Mountains; The areas with significantly-increased vegetation coverage[rate of NDVI change>0.002 (10 a)-1] covered 2.1%, and were mainly distributed in the southeast and central regions of the study area. (3) Across the Altai Ecological Function Area, the responses of vegetation coverage to changes in precipitation are more sensitive than to temperature, however, the responses of changes in NDVI to changes in temperature and precipitation have a lagging effect that differed significantly for different time periods.

Key words: key national ecological function area, climate change, NDVI, time-lag, correlation, Xinjiang

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