Vegetation restoration potential and its changes in Qinghai， China in 2001-2022

doi:10.7522/j.issn.1000-694X.2024.00127

Journal of Desert Research ›› 2025, Vol. 45 ›› Issue (5): 34-44.DOI: 10.7522/j.issn.1000-694X.2024.00127

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Vegetation restoration potential and its changes in Qinghai， China in 2001-2022

Yang Shi¹^,²(), Shulin Liu¹(), Wenping Kang¹, Ying Zhi¹^,², Ruijie Lu¹^,², Sihu Zhang¹^,²

^1.State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands，Northwest Institute of Eco-Environment and Resources，Chinese Academy of Sciences，Lanzhou 730000
^2.University of Chinese Academy of Sciences，Beijing 100049

Received:2024-08-20 Revised:2024-12-30 Online:2025-09-20 Published:2025-09-27
Contact: Shulin Liu

Abstract

Abstract:

As an important ecological security barrier in China， accurately assessing the vegetation restoration potential in Qinghai Province is of great significance for its future ecological protection and high-quality development. In this study， the vegetation net primary productivity index was used as the evaluation index， and with reference to the Similar Habitat Method， the K-means algorithm and box plot analysis were used to determine the ideal growth state of vegetation of each habitat unit， and investigated the spatial distribution and factors influencing the vegetation restoration potential in Qinghai Province from 2001 to 2022. The result shows that：（1） The spatial variability of the vegetation restoration potential index in Qinghai Province is significant， and the overall distribution is characterized by high in the west and low in the east， and high in the north and low in the south；（2） The vegetation restoration potential index in Qinghai Province shows an overall decreasing trend between 2001 and 2022. As a result， the potential for continued vegetation recovery is diminishing；（3） The eastern and southern parts of Qaidam Basin and Gonghe Basin have a high vegetation restoration potential index and are the key areas for future ecological restoration in Qinghai Province；（4） Driver analysis showed that precipitation and temperature were the main drivers of vegetation restoration potential in Qinghai Province， and the factor interaction explanatory power was greater than the single factor explanatory power.

Key words: Qinghai, net primary productivity, vegetation restoration potential, the Similar Habitat Method, K-means

CLC Number:

Q948.15

Yang Shi, Shulin Liu, Wenping Kang, Ying Zhi, Ruijie Lu, Sihu Zhang. Vegetation restoration potential and its changes in Qinghai， China in 2001-2022[J]. Journal of Desert Research, 2025, 45(5): 34-44.

Figures/Tables 12

Fig.1 Overview of the study area

Table 1 Data sources

数据类型	数据	分辨率	年份	数据来源
气象数据	气温	1 km	2001—2022	国家青藏高原科学数据中心
	降水量	1 km	2001—2022	国家青藏高原科学数据中心
	风速	4 km	2001—2022	Terra Climate数据集(GEE)
	太阳辐射	4 km	2001—2022	Terra Climate数据集(GEE)
基本自然环境数据	海拔	30 m	—	SRTM数据集(GEE)
	坡度	30 m	—	SRTM数据集(GEE)
	土壤有机碳	1∶100万	—	国家冰川冻土沙漠科学数据中心
人类活动数据	人类活动强度	1 km	2001—2020	国家青藏高原科学数据中心
人类活动数据	实际载畜量	250 m	2001—2019	国家青藏高原科学数据中心

Table 2 Types of the interaction between two influencing factors

评判依据	交互作用类型
q(X₁∩X₂)<Min(q(X₁), q(X₂))	非线性减弱
Min(q(X₁),q(X₂))<q(X₁∩X₂)	单因子非线性减弱
q(X₁∩X₂) >Max(q(X₁), q(X₂))	双因子增强
q(X₁∩X₂)=q(X₁)+q(X₂)	独立
q(X₁∩X₂)>q(X₁)+q(X₂)	非线性增强

Fig.2 Spatial distribution of homogeneous regions in Qinghai Province

Fig.3 Spatial distribution of INPP in Qinghai Province

Table 3 Classification statistics of vegetation restoration potential index in Qinghai Province

项目	等级
项目	低	较低	中等	较高	高
VRPI	<0.2	0.2~0.4	0.4~0.6	0.6~0.8	0.8~1
面积占比/%	5.1	22.2	33.9	30.2	8.7

Fig.4 Spatial distribution of vegetation restoration potential index in Qinghai Province

Fig.5 Spatial distribution of vegetation restoration potential index in different years In Qinghai Province

Fig.6 Interannual changes of vegetation restoration potential index of different grades in Qinghai Province from 2001 to 2022

Fig.7 Variation trend of vegetation restoration potential index in Qinghai Province from 2001 to 2022

Fig.8 Detection results of driving factors of vegetation restoration potential in Qinghai Province from 2001 to 2022

Fig.9 Interaction results of driving factors of vegetation restoration potential in Qinghai Province from 2001-2022

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Vegetation restoration potential and its changes in Qinghai， China in 2001-2022

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