植物生态学报 ›› 2019, Vol. 43 ›› Issue (6): 490-500.DOI: 10.17521/cjpe.2019.0006

所属专题: 遥感生态学

• 研究论文 • 上一篇    下一篇

2000-2017年新疆天山植被水分利用效率时空特征及其与气候因子关系分析

艾则孜提约麦尔·麦麦提1,玉素甫江·如素力1,2,*(),何辉1,拜合提尼沙·阿不都克日木1   

  1. 1 新疆师范大学地理科学与旅游学院流域信息集成与生态安全实验室, 乌鲁木齐 830054
    2 新疆干旱区湖泊环境与资源重点实验室, 乌鲁木齐 830054
  • 收稿日期:2019-01-08 修回日期:2019-06-12 出版日期:2019-06-20 发布日期:2019-09-30
  • 通讯作者: 玉素甫江·如素力
  • 基金资助:
    国家自然科学基金(U1703341);国家自然科学基金(41764003)

Spatio-temporal characteristics of vegetation water use efficiency and its relationship with climate factors in Tianshan Mountains in Xinjiang from 2000 to 2017

Aizezitiyuemaier MAIMAITI1,Yusufujiang RUSULI1,2,*(),HE Hui1,Baihetinisha ABUDUKERIMU1   

  1. 1 Laboratory of Information Integration and Ecological Safety, Institute of Geographical Science and Tourism, Xinjiang Normal University, ürümqi 830054, China;
    2 Xinjiang Key Laboratory of Lake Environment and Resources in Arid Zone, ürümqi 830054, China;
  • Received:2019-01-08 Revised:2019-06-12 Online:2019-06-20 Published:2019-09-30
  • Contact: Yusufujiang RUSULI
  • Supported by:
    Supported by the National Natural Science Foundation of China(U1703341);Supported by the National Natural Science Foundation of China(41764003)

摘要:

水分利用效率(WUE)是衡量生态系统碳水循环耦合程度的重要指标, 估算新疆天山及南北主要绿洲的植被WUE并分析其时空变化规律, 探索其影响因素, 对该区域生态系统保护、农业水资源的合理利用与开发等方面具有重要的意义。基于MODIS遥感数据、气象数据和土地利用类型数据, 分析新疆天山近18年植被WUE时空变化特征以及与气候因子的关系。结果表明: (1) 2000-2017年新疆天山植被WUE变化范围为0.84-1.34 g·mm -1·m -2, 多年均值为1.11 g·mm -1·m -2, 整体呈减少趋势, 变化率为-0.014 1 g·mm -1·m -2·a -1; 空间分布具有较强的垂直地带性规律, 1 000 m以上的区域随着海拔的升高而减少。(2)植被WUE年内变化呈单峰型变化格局, 具有明显的季节性差异, 表现为: 夏季>春季>秋季>冬季。(3)相关分析和统计结果表明, 新疆天山植被WUE时空变化受到气温影响的区域占33.23%, 受降水影响的区域占8.57%, 受气温和降水综合强影响的区域占5.63%, 气温和降水综合弱影响的区域占13.13%; 因此气候因素中气温在新疆天山植被WUE的变化中起到主导作用。(4)水田与旱地水分利用效率随着时间变化呈持续减少趋势, 并且这些区域基本上受到非气候因子的影响, 说明当地人类活动存在不合理性。

关键词: 水分利用效率, 植被, 时空分布, 气候因子, 新疆天山

Abstract:

Aims Water use efficiency (WUE) is a key index to measure the coupling degree of carbon and water cycle in ecosystems. The WUE of vegetation in Tianshan Mountains in Xinjiang and the north and south sites of the main oasis was estimated and then the spatio-temporal distribution of vegetation WUE was analyzed to explore its influencing factors, which will be of great significance to the protection of ecosystem and the rational utilization and development of agricultural water resources in this region. Methods This study used data from moderate-resolution imaging spectroradiometer (MODIS), meteorological and land use type data to estimate the vegetation WUE. The spatio-temporal characteristics of vegetation WUE were analyzed in Tianshan Mountains in Xinjiang over the last 18 years, and the relationship of WUE with climatic factors was evaluated. Important findings The results indicated that: (1) From 2000 to 2017, the average annual vegetation WUE for Tianshan Mountains in Xinjiang was 1.11 g·mm -1·m -2, ranging from 0.84 to 1.34 g·mm -1·m -2. As a whole, the annual decrease trend of vegetation WUE was 0.014 1 g·mm -1·m -2·a -1, and vegetation WUE showed a strong vertical zonality in Tianshan Mountains in Xinjiang, as indicated by the decrease with the altitude above 1 000 m. (2) The vegetation WUE in Tianshan Mountains in Xinjiang showed a unimodal change pattern with significant seasonal difference, in order of summer > spring > autumn > winter. (3) Correlation analysis and statistical results indicated that the dynamic change of vegetation WUE in Tianshan Mountains in Xinjiang was closely related to temperature and rainfall. The regions with vegetation WUE changes resulting from non-climate factors accounted for 39.26% in Tianshan Mountains in Xinjiang. However, the factors of temperature and precipitation contributed to the change of vegetation WUE as 33.23% and 8.57%, respectively. On the other hand, the combination of temperature and precipitation with heavy impact and light impact contributed to WUE by 5.63% and 13.13%, respectively. Overall, temperature played the most important role among all climate factors in the changes in vegetation WUE. (4) The WUE of paddy field and dryland decreased continuously with time, and these areas were mainly affected by non-climatic factors, suggesting the irrationality in local human activities.

Key words: water use efficiency, vegetation, temporal and spatial distribution, climate factor, Tianshan Mountains in Xinjiang