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Assessing and improving global grassland restoration: Drivers, current effectiveness and future design

Year: 2025

Type: article

Study designs: Systematic Review, Meta-Analysis

Source: Journal of Applied Ecology

DOI: 10.1111/1365-2664.70221

Authors: Lingfan Wan, Guohua Liu, Bojie Fu, Ying Hu, Xukun Su

Institutions: Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Urban and Regional Ecology

Language: English

Topic: Ecology and Vegetation Dynamics Studies

Subfield: Nature and Landscape Conservation

Field: Environmental Science

Domain: Physical Sciences

SDGs: Life on land, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China - State Grid Corporation Joint Fund for Smart Grid

Award: G2999508557

OpenAlex ID: W4416237549

FWCI: 2.709

Cites: 64

Cited by: 4

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