草地学报

草地学报 ›› 2020, Vol. 28 ›› Issue (5): 1460-1472.DOI: 10.11733/j.issn.1007-0435.2020.05.034

• 技术研发 • 上一篇    下一篇

基于地理探测器的内蒙古植被NDVI时空变化与驱动力分析

张思源1, 聂莹2, 张海燕3, 李永利1, 韩燕东1, 刘晓煌4, 王兵5   

  1. 1. 中国地质调查局呼和浩特自然资源综合调查中心, 内蒙古 呼和浩特 010010;
    2. 北京市农林科学院农业信息与经济研究所, 北京 100097;
    3. 中国科学院地理科学与资源研究所, 北京 100101;
    4. 中国地质调查局自然资源综合调查指挥中心, 北京 100055;
    5. 中国地质调查局烟台海岸带地质调查中心, 山东 烟台 264004
  • 收稿日期:2020-08-14 修回日期:2020-08-30 发布日期:2020-09-19
  • 通讯作者: 聂莹
  • 作者简介:张思源(1991-),男,内蒙古巴彦淖尔人,硕士,工程师,研究方向为地质学与自然资源学,E-mail:zhangsy5@qq.com
  • 基金资助:
    中国地质调查局项目（DD20208066；DD20208036；DD20208063；DD20208077）；北京市农林科学院青年基金（QNJJ202012）资助

Spatiotemporal Variation of Vegetation NDVI and its Driving Forces in Inner Mongolia Based on Geodetector

ZHANG Si-yuan1, NIE Ying2, ZHANG Hai-yan3, LI Yong-li1, HAN Yan-dong1, LIU Xiao-huang4, WANG Bing5   

  1. 1. Hohhot Center for Integrated Natural Resources Survey, China Geological Survey, Hohhot, Inner Mongolia 010010, China;
    2. Institute of Agricultural Information and Economics Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China;
    3. Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    4. Command Center for Integrated Natural Resources Survey, China Geological Survey, Beijing 100055, China;
    5. Yantai Geological Survey Center of Coastal Zone, China Geological Survey, Yantai, Shandong Province 264004, China
  • Received:2020-08-14 Revised:2020-08-30 Published:2020-09-19

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摘要： 研究植被归一化植被指数（Normalized Difference Vegetation Index，NDVI）时空变化及驱动力有助于区域生态环境保护和自然资源管理。本研究基于2000—2015年SPOT NDVI遥感数据和同时期18种自然因子与社会经济因子，分析了内蒙古植被NDVI时空变化特征，并利用地理探测器探讨其空间分异特征与驱动力。研究表明：空间尺度上，内蒙古NDVI分布呈现东北高西南低，变化格局为东部增加，中西部减少；时间尺度上，年际NDVI呈缓慢增加趋势（0.32%·a-1），并呈现高植被覆盖度（8.6%）和低植被覆盖度（2.8%）均增加的“两极化”特征。年降水量的解释力最高（0.75），与土壤类型、植被类型和年均温共同主导植被NDVI时空格局；因子交互作用为增强关系，自然因子与社会经济因子交互影响力显著增强；研究时段气候因子解释力减弱，农林牧业因子略有增强。本研究探讨了不同土地利用类型的因子解释力差异及各因子促进植被生长的最适宜范围，有助于植被生长的驱动力机制研究。

关键词: NDVI, 时空变化, 驱动力, 地理探测器, 内蒙古

Abstract: The study of spatiotemporal variation and driving forces of NDVI (Normalized Difference Vegetation Index) is conducive to regional ecological environment protection and natural resource management. Based on SPOT NDVI remote sensing data from 2000 to 2015 and 18 types of natural and socio-economic factors in the same period,the spatiotemporal variation characteristics of vegetation NDVI in Inner Mongolia were analyzed. Furthermore,based on the Geodetector model,we explored the spatial stratified heterogeneity and driving forces. On the spatial scale,the vegetation coverage of the whole region was characterized by high in the east and low in the west,and the region of variation was increasing in the east and decreasing in the middle and west. On the time scale,the annual NDVI showed a slow increasing trend in 16 years,with a growth rate of 0.32%·a-1. The vegetation coverage increased in both the dense grade (8.6%) and the sparse grade (2.8%),showing the feature of polarization. Annual precipitation that was the factor with the highest explanatory power (0.75),together with soil type,vegetation type and annual mean temperature,controlled the spatial pattern of vegetation NDVI. The interaction of factors showed mutual or nonlinear enhancement,and the explanatory power of interaction between human factors and natural factors was significantly enhanced. During the study period,the explanatory power of climatic factors was weakened,while the statistical factors of agriculture,forestry and animal husbandry were slightly enhanced. Here we studied the differences in explanatory power of different land use types and the optimal characteristic of each factor,which would provide scientific basis for the driving mechanism of vegetation growth.

Key words: NDVI, Spatiotemporal variation, Driving forces, Geodetector, Inner Mongolia

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