Will large-scale forestation lead to a soil water deficit crisis in China's drylands?

植树造林 中国 比例(比率) 铅(地质) 环境科学 气候学 农林复合经营 地理 地质学 地图学 地貌学 考古
作者
Qiuming Wang,Hongyan Liu,Boyi Liang,Liang Shi,Lu Wu,Jing Cao
出处
期刊:Science Bulletin [Elsevier BV]
卷期号:69 (10): 1506-1514 被引量:56
标识
DOI:10.1016/j.scib.2024.03.005
摘要

Trading water for carbon has cautioned large-scale afforestation in global drylands. However, model simulations suggested that the consumption of soil water could be partially offset by increasing precipitation due to vegetation feedback. A systematic meta-analysis of long-term and large-scale field observations is urgently required to address the abovementioned limitations, and the implementation of large-scale afforestation since 1978 in northern China provides an ideal example. This study collected data comprising 1226 observations from 98 sites in northern China to assess the variation in soil water content (SWC) with stand age after afforestation and discuss the effects of tree species, precipitation and conversions of land use types on SWC. We found that the SWC has been decreased by coniferous forest and broadleaf forest at rates of 0.6 and 3.2 mm decade–1, respectively, since 1978. There is a significant declining trend of SWC with the stand age of plantations, and the optimum growth stage for plantation forest is 0–20 a in northern China. However, we found increases in SWC for the conversion from grassland to forest and in the low-precipitation region, both are corresponding to the increased SWC in coniferous forest. Our study implies that afforestation might lead to a soil water deficit crisis in northern China in the long term at the regional scale but depends on prior land use types, tree taxa and the mean annual precipitation regime, which sheds light on decision-making regarding ecological restoration policies and water resource management in drylands.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
慕青应助pan采纳,获得10
1秒前
Lucas应助快乐的思天采纳,获得10
2秒前
Rita发布了新的文献求助10
3秒前
4秒前
zhouleiwang发布了新的文献求助10
4秒前
白羊发布了新的文献求助10
4秒前
4秒前
ISLAND完成签到,获得积分10
5秒前
5秒前
完美世界应助空心采纳,获得10
5秒前
神勇的博涛完成签到,获得积分20
6秒前
碧蓝傲蕾发布了新的文献求助10
6秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
健壮冬卉完成签到,获得积分10
7秒前
CodeCraft应助一定发发发采纳,获得10
8秒前
大个应助零零二采纳,获得10
8秒前
8秒前
8秒前
9秒前
9秒前
Thea完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
11秒前
12秒前
禹宙中欣发布了新的文献求助10
12秒前
Zhhh发布了新的文献求助10
13秒前
充电宝应助无糖乌龙茶采纳,获得10
13秒前
dier发布了新的文献求助10
13秒前
WWW完成签到,获得积分10
14秒前
14秒前
ShanYexia发布了新的文献求助10
14秒前
Vater发布了新的文献求助10
14秒前
timw发布了新的文献求助10
15秒前
15秒前
涵涵发布了新的文献求助10
15秒前
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Burger's Medicinal Chemistry, Drug Discovery and Development, Volumes 1 - 8, 8 Volume Set, 8th Edition 1800
Cronologia da história de Macau 1600
Contemporary Debates in Epistemology (3rd Edition) 1000
International Arbitration Law and Practice 1000
文献PREDICTION EQUATIONS FOR SHIPS' TURNING CIRCLES或期刊Transactions of the North East Coast Institution of Engineers and Shipbuilders第95卷 1000
BRITTLE FRACTURE IN WELDED SHIPS 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 计算机科学 化学工程 生物化学 物理 复合材料 内科学 催化作用 物理化学 光电子学 细胞生物学 基因 电极 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6156311
求助须知:如何正确求助?哪些是违规求助? 7984810
关于积分的说明 16593321
捐赠科研通 5266360
什么是DOI,文献DOI怎么找? 2810027
邀请新用户注册赠送积分活动 1790274
关于科研通互助平台的介绍 1657564