[1]高思琦,董国涛,蒋晓辉,等.基于地理探测器的三江源植被变化及自然驱动因子分析[J].水土保持研究,2022,29(04):336-343.
　GAO Siqi,DONG Guotao,JIANG Xiaohui,et al.Analysis of Vegetation Coverage Changes and Natural Driving Factors in the Three-River Headwaters Region Based on Geographical Detector[J].Research of Soil and Water Conservation,2022,29(04):336-343.
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基于地理探测器的三江源植被变化及自然驱动因子分析

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 29 期数: 2022年04期 页码: 336-343 栏目: 出版日期: 2022-06-20
Title:
Analysis of Vegetation Coverage Changes and Natural Driving Factors in the Three-River Headwaters Region Based on Geographical Detector
文章编号:
1005-3409(2022)04-0336-08
作者:
高思琦1,2, 董国涛2,3, 蒋晓辉1, 聂 桐1,2, 郭欣伟2, 党素珍2
(1.西北大学 城市与环境学院, 西安 710127; 2.黄河水利委员会 黄河水利科学研究院, 郑州 450003; 3.黑河水资源与生态保护研究中心, 兰州 730030)
Author(s):
GAO Siqi1,2, DONG Guotao2,3, JIANG Xiaohui1, NIE Tong1,2, GUO Xinwei2, DANG Suzhen2
(1.College of Urban and Environmental Sciences, Northwest University, Xi'an 710127, China; 2.Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China; 3.Heihe Water Resources and Ecological Protection Research Center, Lanzhou 730030, China)
关键词:
NDVI;  时空变化;  自然驱动因子;  地理探测器;  三江源
Keywords:
NDVI;  spatiotemporal changes;  natural driving forces;  geographical detector;  Three-River Headwaters region
分类号:
Q948.1
文献标志码:
A
摘要:
为了揭示自然因子对三江源植被覆盖度的影响,基于1982—2015年三江源GIMMS NDVI数据和同时期8种自然因子,运用一元线性回归法分析三江源NDVI时空变化特征,并利用地理探测器分析了其空间分异性及自然驱动因素。结果表明:三江源植被NDVI分布东南高西北低,变化格局为西部和北部增加,中部和南部减少,1982—2015年NDVI均值总体上呈增加趋势; 年降水量对三江源NDVI空间分布的影响力最大(0.551),年均温、植被类型、高程也很好地解释了三江源的植被覆盖状况; 自然因子对NDVI的影响存在交互作用,呈现相互增强和非线性增强关系。可见,年降水量是影响三江源NDVI空间分布的最主要因子,并且与其他因子交互作用能够增大对NDVI的影响。
Abstract:
To reveal the influence of natural factors on the vegetation coverage of the Three-River Headwaters region, based on the GIMMS NDVI data and 8 natural factors of the Three-River Headwaters region from 1982 to 2015, the temporal and spatial variation characteristics of the NDVI in the Three-River Headwaters region were analyzed by linear regression analysis, and the spatial heterogeneity and natural driving factors were analyzed by geographical detector. The results showed that: the distribution of the NDVI was high in the southeast and low in the northwest, the change pattern increased in the west and north, decreased in the middle and south, and the mean value of the NDVI from 1982 to 2015 increased; the annual precipitation had the greatest influence on the spatial distribution of the NDVI in the Three-River Headwaters region(0.551); the average annual temperature, vegetation type and elevation also explained the vegetation coverage in the Three-River Headwaters region well; the influence of natural factors on the NDVI was interactive, showing mutual enhancement and nonlinear enhancement. It was obvious that the annual precipitation was the most important factor affecting the spatial distribution of the NDVI in the Three-River Headwaters region, and the interaction with other factors can increase the influence on the NDVI.

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备注/Memo

收稿日期:2021-05-16 修回日期:2021-06-15
资助项目:国家自然科学基金(51779099,51779209,51909099); 国家重点研发计划项目(2016YFC0402400)
第一作者:高思琦(1998—),女,山东青岛人,在读硕士研究生,研究方向为社会水文学。E-mail:siqigao@stumail.nwu.edu.cn
通信作者:董国涛(1982—),男,山东青州人,博士,正高级工程师,主要从事水文水资源遥感研究。E-mail:dongguotao@hhglj.yrcc.gov.cn

更新日期/Last Update: 2022-06-20