[1]段利民,李玮,罗艳云,等.锡林河流域植被叶面积指数时空变化特征及其对地形因子的响应[J].水土保持研究,2019,26(03):224-231.
　DUAN Limin,LI Wei,LUO Yanyun,et al.Spatiotemporal Variations of Vegetation Leaf Area Index and Its Response to Topographical Factors in Xilin River Basin[J].Research of Soil and Water Conservation,2019,26(03):224-231.
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锡林河流域植被叶面积指数时空变化特征及其对地形因子的响应

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 26 期数: 2019年03期 页码: 224-231 栏目: 出版日期: 2019-04-12
Title:
Spatiotemporal Variations of Vegetation Leaf Area Index and Its Response to Topographical Factors in Xilin River Basin
作者:
段利民1,2, 李玮1,2, 罗艳云1,2, 刘廷玺1,2, Buren Scharaw3, 于长翔4
1. 内蒙古农业大学 水利与土木建筑工程学院, 呼和浩特 010018;
2. 内蒙古自治区水资源保护与利用重点实验室, 呼和浩特 010018;
3. Application Center for System Technologies, Fraunhofer IOSB, Ilmenau 98693, Germany;
4. 通辽市水土保持局, 内蒙古 通辽 028099
Author(s):
DUAN Limin1,2, LI Wei1,2, LUO Yanyun1,2, LIU Tingxi1,2, BUREN Scharaw3, YU Changxiang4
1. Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China;
2. Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China;
3. Application Center for System Technologies, Fraunhofer IOSB, Ilmenau 98693, Germany;
4. Tongliao Bureau of Soil and Water Conservation, Tongliao, Inner Mongolia 028099, China
关键词:
植被指数; 地形因子; 转移矩阵; 趋势分析
Keywords:
vegetation index; topographical factors; transition matrix; trend analysis
分类号:
Q948
摘要:
为了摸清欧亚大陆大草原重要的组成部分锡林河流域在外界环境和人类活动干扰下植被的时空变异规律及其与地形因子的响应关系，利用遥感影像数据及基于大气阻抗植被指数（ARVI）的统计模型，反演了1985—2015年4个典型代表年份的LAI，从长时间尺度上分析了LAI的时空变化特征以及地形因子对其空间分布格局的影响。结果表明：近30 a，锡林河流域LAI总体呈上升趋势，多年平均值为0.8～1.5，从上游至下游逐渐降低。植被恢复状况空间差异明显，主要发展态势为恢复。LAI在0.78～0.82，0.82～0.86所占面积比例随着海拔、坡度的升高而降低，在东南方向上的面积占比大于其他方向；LAI在0.92～1.5，1.5～3.0所占面积比例随着海拔、坡度的升高而增大，在西、西南方向上的面积占比大于其他方向。高程对LAI的直接影响效应为0.438，远大于坡度和坡向对LAI的影响。本研究可为草原型流域陆面过程及生态水文研究提供理论基础和科学依据，对于天然生态系统的健康维持、退化生态系统的恢复重建等也具有一定的参考价值。
Abstract:
Xilin River Basin is a main component of Eurasia steppe land, whereas the vegetation heterogeneity is noticeable affected by external environment and human activities. Vegetation leaf area index (LAI) is the key parameter which decides the exchanges of substance and energy between steppe ecosystem and atmosphere, and can directly describe the growth status of vegetation. Remote sensing and statistical model based on atmospherically resistant vegetation index (ARVI) were applied to retrieve the LAI of 4 typical years of 1985-2015. The spatiotemporal variations of LAI and its spatial distribution affected by topographical factors were analyzed. The results indicated that:(1) in recent 30 years, the LAI showed the increasing trend with average annual mean value of 0.8 to 1.5, and decreased from upstream to downstream; (2) the spatial heterogeneity of vegetation restoration was obvious, the main development trend was restoration; (3) the area percentages of LAI ranging from 0.78 to 0.82 and from 0.82 to 0.86 decreased with the increasing of altitude and slope, and the proportion of the area in the southeast was greater than the other directions; LAIs ranging from 0.92 to 1.5 and from 1.5 to 3.0 increased with the increasing of altitude and slope, and the proportion of the area in the west and southwest was greater than the other directions. The direct effect of elevation on LAI was 0.438, which is far greater than that of slope and aspect. This study provides theoretical and scientific basis for land surface processes and eco-hydrological researches, and also can be used for the healthy maintenance of natural ecosystem as well as the restoration of degraded ecosystem.

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备注/Memo

收稿日期:2018-06-17;改回日期:2018-08-23。
基金项目:国家自然科学基金青年基金（51509131）；国家国际科技合作专项（2015DFA00530）；内蒙古自治区自然科学资助项目（2015BS0514）；内蒙古自治区高等学校科学研究项目（NJZY064）；教育部创新团队发展计划（IRT_17R60）；科技部重点领域创新团队（2015RA4013）资助
作者简介:段利民(1982-),男,内蒙古锡盟人,博士,副研究员,主要从事干旱区生态水文教学和科研工作。E-mail:dlm@imau.edu.cn
通讯作者:罗艳云(1985-),女,河南滑县人,博士,副教授,主要从事遥感生态水文教学和科研工作。E-mail:luo_yanyun@163.com

更新日期/Last Update: 1900-01-01