Analysis of Spatiotemporal Evolution and Driving Forces of Vegetation from 2001 to 2020: A Case Study of Shandong Province, China

Author:

Dong Dejin1,Zhao Ziliang2ORCID,Gao Hongdi3,Zhou Yufeng2,Gong Daohong4,Du Huaqiang2ORCID,Fujioka Yuichiro5

Affiliation:

1. Graduate School of Integrated Sciences for Global Society, Kyushu University, Motooka 744, Nishi-ku, Fukuoka 819-0395, Japan

2. School of Environmental and Resources Science, Zhejiang A & F University, Hangzhou 311300, China

3. Zhejiang Forest Resources Monitoring Center, Hangzhou 310020, China

4. School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China

5. Faculty of Social and Cultural Studies, Kyushu University, Motooka 744, Nishi-ku, Fukuoka 819-0395, Japan

Abstract

As global climate change intensifies and human activities escalate, changes in vegetation cover, an important ecological indicator, hold significant implications for ecosystem protection and management. Shandong Province, a critical agricultural and economic zone in China, experiences vegetation changes that crucially affect regional climate regulation and biodiversity conservation. This study employed normalized difference vegetation index (NDVI) data, combined with climatic, topographic, and anthropogenic activity data, utilizing trend analysis methods, partial correlation analysis, and Geodetector to comprehensively analyze the spatiotemporal variations and primary driving factors of vegetation cover in Shandong Province from 2001 to 2020. The findings indicate an overall upward trend in vegetation cover, particularly in areas with concentrated human activities. Climatic factors, such as precipitation and temperature, exhibit a positive correlation with vegetation growth, while land use changes emerge as one of the key drivers influencing vegetation dynamics. Additionally, topography also impacts the spatial distribution of vegetation to a certain extent. This research provides a scientific basis for ecological protection and land management in Shandong Province and similar regions, supporting the formulation of effective vegetation restoration and ecological conservation strategies.

Funder

JST SPRING

JSPS KAKENHI

National Natural Science Foundation of China

Publisher

MDPI AG

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