[1]王永红,鲁 恒*.2001—2018年云南省植被变化及驱动力[J].山地学报,2022,(4):531-541.[doi:10.16089/j.cnki.1008-2786.000691]
　WANG Yonghong,LU Heng*.Driving Force of Vegetation Cover Change in Yunnan Province from 2001 to 2018[J].Mountain Research,2022,(4):531-541.[doi:10.16089/j.cnki.1008-2786.000691]
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2001—2018年云南省植被变化及驱动力
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2022年第4期
页码:
531-541
栏目:
山地环境
出版日期:
2022-09-15

文章信息/Info

Title:
Driving Force of Vegetation Cover Change in Yunnan Province from 2001 to 2018
文章编号:
1008-2786-(2022)4-531-11
作者:
王永红1; 鲁 恒2*
1.湖南城市学院 信息与电子工程学院,湖南 益阳 413000; 2.四川大学 水利水电学院, 成都 610065
Author(s):
WANG Yonghong1;  LU Heng2*
1.College of Information and Electronic Engineering, Hunan City University, Yiyang 413000, Hunan, China; 2. College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China
关键词:
植被变化;  影响因素;  时空格局;  地理探测器;  云南省
Keywords:
vegetation change;  influencing factors;  spatio-temporal pattern;  geodetector;  Yunnan province
分类号:
Q948
DOI:
10.16089/j.cnki.1008-2786.000691
文献标志码:
A
摘要:
植被覆盖变化是评价区域生态、环境状况的重要指标。云南省是中国生物多样性最丰富、全球生物多样性最显著的地区,同时也是气候敏感区和典型生态环境脆弱地带。已有对云南植被时空变化主控因素的研究局限于考察单个因素与植被之间的关联,未考虑自然因素和人类活动因素协同对植被时空变化的影响,且大多是针对小尺度、小流域进行的,研究缺乏整体性,不能从时空上系统地理解云南省植被变化及驱动力。本研究基于2001—2018年MODIS数据,利用时空分析方法和地理探测器模型,研究云南省植被变化的时空格局和驱动力。研究发现:(1)在2001—2014年植被呈缓慢增长趋势(1.5%/10a),2014—2018年呈快速增长趋势(6.4%/10a);(2)滇东北、滇东南、滇西北地区是云南省植被主要上升区域;(3)气温和降水因子对云南植被变化影响最为显著,其次社会经济因素对云南植被变化也有一定的影响,植被类型和土壤类型对云南植被变化的影响最弱;(4)2001—2018年云南省植被的时空变化特征是自然因素和社会因素共同作用的结果,所有因子在交互作用下均具有协同增强作用,其中风速与降水(0.3262)、风速与气温(0.3040)以及降水与城乡居民可支配收入(0.2924)的交互作用对云南植被变化的影响最为显著。研究结果可为云南省生态系统环境质量评价提供数据支撑和理论参考。
Abstract:
Vegetation plays an important role in regulating ecological process and evaluating the environmental quality of an ecosystem. Yunnan province is a region with the richest biodiversity in China and the most significant biodiversity in the world. It is a typical ecological environment fragile area, susceptible to climate change. Most of the past studies were performed on small scale and based on a single watershed; and some investigations on vegetation differentiation were limited to the relationship between single factor and vegetation, ignoring the influence of natural factors and human factors on the spatial differentiation of vegetation; Therefore, past research lacks integrity and cannot comprehensively clarify the dynamic changes and driving forces of vegetation in Yunnan province from time and space. In this study, it collected MODIS data from 2001 to 2018 to reveal the spatio-temporal patterns and driving forces of vegetation change in Yunnan province by using a spatio-temporal analysis model and Geodetector model. We have the following results:(1)Vegetation had a slow growth trend from 2001 to 2014(1.5%/10a)in Yunnan, and a fast growth trend from 2014 to 2018(6.4%/10a).(2)Vegetation in northeast Yunnan, and the southeast and the northwest stood for the most growing areas.(3)Temperature and precipitation factors had the most significant effects on vegetation change in Yunnan, followed by socio-economic factors; Vegetation type and soil type had the weakest effect on vegetation change in Yunnan.(4)The spatial distribution and differentiation of vegetation in Yunnan province from 2001 to 2018 were attributed to joint actions of social and natural factors, and all factors had synergistic enhancement effect under interaction. The interaction between wind speed and precipitation(0.3262)had the most significant impact on vegetation change in Yunnan, and interaction between wind speed and air temperature(0.3040)also mattered a lot, as well as precipitation and disposable income of urban and rural residents(0.2924). This research could provide a sound support for environmental quality evaluation in Yunnan.

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备注/Memo

备注/Memo:
收稿日期(Received date):2022-04-13; 改回日期(Accepted date): 2022-07-29
基金项目(Foundation item):国家自然科学基金(41701499)[National Natural Science Foundation of China(41701499)]
作者简介(Biography):王永红(1978-),男,湖南株洲人,硕士研究生,主要研究方向:遥感与地理信息系统。[WANG Yonghong(1978-), male, born in Zhuzhou, Hunan province, M.Sc. candidate, research on remote sensing and geographic information system] E-mail: 45506034@qq.com
*通讯作者(Corresponding author):鲁恒(1984-),男,博士,副教授,主要研究方向:遥感与地理信息应用。[LU Heng(1984-), male, Ph.D., associate professor, specialized in remote sensing and geographic information] E-mail: luheng@scu.edu.cn
更新日期/Last Update: 2022-08-30