气候变化领域集成服务门户(CCPortal): Optimizing China's Afforestation Strategy: Biophysical Impacts of Afforestation with Five Locally Adapted Forest Types

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DOI	10.3390/f15010182
	Optimizing China's Afforestation Strategy: Biophysical Impacts of Afforestation with Five Locally Adapted Forest Types
	Ma, Wei; Wang, Yue
发表日期	2024
EISSN	1999-4907
起始页码	15
结束页码	1
卷号	15 期号:1
英文摘要	Recent research has mapped potential afforestation land to support China's goal of achieving carbon neutrality and has proposed tree species selection to maximize carbon uptake. However, it overlooked biophysical climatic effects, which have a more significant impact on local temperature than CO2 reduction. This study aims to present a comprehensive understanding of how afforestation in China affects local and regional climates through biophysical processes. It focuses on the latitudinal patterns of land surface temperature differences (Delta LST) between five locally adapted forest types and adjacent grasslands using satellite-based observations. Our key findings are as follows: Firstly, broadleaf forests and mixed forests exhibit a stronger cooling effect than coniferous forests due to differences in canopy structure and distribution. Specifically, the net cooling effects of evergreen broadleaf forests (EBFs), deciduous broadleaf forests (DBFs), and mixed forests (MFs) compared to grasslands are -0.50 +/- 0.10 degrees C (mean +/- 95% confidence interval), -0.33 +/- 0.05 degrees C, and -0.36 +/- 0.06 degrees C, respectively, while evergreen needleleaf forests (ENFs) compared to grasslands are -0.22 +/- 0.11 degrees C. Deciduous needleleaf forests (DNFs) exhibit warming effects, with a value of 0.69 +/- 0.24 degrees C. In regions suitable for diverse forest types planting, the selection of broadleaf and mixed forests is advisable due to their enhanced local cooling impact. Secondly, temperate forests have a net cooling effect to the south of 43 degrees N, but they have a net warming effect to the north of 48 degrees N compared to grasslands. We recommend caution when planting DNFs, DBFs, and MFs in northeastern China, due to the potential for local warming. Thirdly, in the mountainous areas of southwestern China, especially when planting ENFs and MFs, tree planting may lead to local warming. Overall, our study provides valuable supplementary insights to China's existing afforestation roadmap, offering policy support for the country's climate adaptation and mitigation efforts.
英文关键词	afforestation; broadleaf forests; needleleaf forests; mixed forests; biophysical properties; latitudinal; satellite-based observations; China
语种	英语
WOS研究方向	Forestry
WOS类目	Forestry
WOS记录号	WOS:001148885200001
来源期刊	FORESTS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304169
作者单位	Central University of Finance & Economics
推荐引用方式 GB/T 7714	Ma, Wei,Wang, Yue. Optimizing China's Afforestation Strategy: Biophysical Impacts of Afforestation with Five Locally Adapted Forest Types[J],2024,15(1).
APA	Ma, Wei,&Wang, Yue.(2024).Optimizing China's Afforestation Strategy: Biophysical Impacts of Afforestation with Five Locally Adapted Forest Types.FORESTS,15(1).
MLA	Ma, Wei,et al."Optimizing China's Afforestation Strategy: Biophysical Impacts of Afforestation with Five Locally Adapted Forest Types".FORESTS 15.1(2024).