4.7 Article

Balancing the Effects of Forest Conservation and Restoration on South China Karst Greening

Journal

EARTHS FUTURE
Volume 11, Issue 6, Pages -

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2023EF003487

Keywords

forest conservation; forest restoration; karst vegetation greening; Generalized Additive Model

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In this study, the spatial pattern of forest conservation and restoration in South China karst from 2000 to 2020 was explored using land use data, forest cover loss data, and satellite imagery. The contribution of forest conservation and restoration to vegetation greening was quantitatively calculated. The results showed that forest conservation and restoration areas accounted for a significant percentage of vegetation greening, and there was a nonlinear relationship between these two components.
Forest conservation and restoration are key components of ecological engineering. Previous studies often focused on the forest restoration impact on vegetation greening, ignoring the importance of forest conservation, and the link between forest conservation and restoration remains unclear. Based on land use data, forest cover loss data, and Moderate Resolution Imaging Spectroradiometer Leaf Area Index, in this study, we explored the spatial pattern of forest conservation and restoration from 2000 to 2020, and quantitatively calculated the contribution of forest conservation and restoration to vegetation greening. The results showed that the forest conservation area was 821,888 km(2), and the forest restoration area was 100,266 km(2) in South China karst. The forest conservation and restoration area with vegetation greenness increasing were 358,236 and 54,397 km(2), respectively, which contributed 39.85% and 6.05% to vegetation greening. Moreover, there was a nonlinear relationship between forest conservation and restoration, and the results showed an inverted U-shape in most provinces. This study evaluated ecological engineering from the perspective of forest conservation and restoration, which could provide the scientific basis for differentiated ecological engineering planning.

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