Can large-scale tree planting in China compensate for the loss of climate connectivity due to deforestation?

森林砍伐(计算机科学) 植树造林 气候变化 比例(比率) 农林复合经营 中国 树(集合论) 播种 环境科学 地理 自然地理学 生态学 数学 农学 地图学 生物 计算机科学 考古 数学分析 程序设计语言
作者
Qiyao Han,Ming Li,Greg Keeffe
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:927: 172350-172350 被引量:4
标识
DOI:10.1016/j.scitotenv.2024.172350
摘要

Extensive deforestation has been a major reason for the loss of forest connectivity, impeding species range shifts under current climate change. Over the past decades, the Chinese government launched a series of afforestation and reforestation projects to increase forest cover, yet whether the new forests can compensate for the loss of connectivity due to deforestation—and where future tree planting would be most effective—remains largely unknown. Here, we evaluate changes in climate connectivity across China's forests between 2015 and 2019. We find that China's large-scale tree planting alleviated the negative impacts of forest loss on climate connectivity, improving the extent and probability of climate connectivity by 0–0.2 °C and 0–0.03, respectively. The improvements were particularly obvious for species with short dispersal distances (i.e., 3 km and 10 km). Nevertheless, only ~55 % of the trees planted in this period could serve as stepping stones for species movement. This indicates that focusing solely on the quantitative target of forest coverage without considering the connectivity of forests may miss opportunities in tree planting to facilitate climate-induced range shifts. More attention should be paid to the spatial arrangement of tree plantations and their potential as stepping stones. We then identify priority areas for future tree planting to create effective stepping stones. Our study highlights the potential of large-scale tree planting to facilitate range shifts. Future tree-planting efforts should incorporate the need for species range shifts to achieve more biodiversity conservation benefits under climate change.
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
fhr发布了新的文献求助10
1秒前
ahtam发布了新的文献求助10
1秒前
1秒前
1秒前
蒋清仪完成签到 ,获得积分10
2秒前
2秒前
3秒前
Hello应助Ashore采纳,获得100
3秒前
小蘑菇应助自信的寄凡采纳,获得10
4秒前
朴实曼岚发布了新的文献求助10
4秒前
wu完成签到 ,获得积分10
4秒前
5秒前
6秒前
FashionBoy应助wwe采纳,获得50
6秒前
6秒前
晚秋发布了新的文献求助10
7秒前
Nexus应助Morgan采纳,获得20
7秒前
7秒前
7秒前
在水一方应助核桃采纳,获得10
7秒前
天天快乐应助核桃采纳,获得10
7秒前
yjh123应助核桃采纳,获得50
8秒前
科研通AI6.4应助核桃采纳,获得10
8秒前
付博完成签到,获得积分10
8秒前
关键词发布了新的文献求助10
8秒前
Lucas应助核桃采纳,获得10
8秒前
科研通AI6.2应助核桃采纳,获得30
8秒前
sarah发布了新的文献求助10
8秒前
8秒前
完美世界应助核桃采纳,获得10
8秒前
李健应助核桃采纳,获得10
8秒前
田様应助核桃采纳,获得30
8秒前
科目三应助核桃采纳,获得10
8秒前
bkagyin应助蒋俊杰采纳,获得10
8秒前
维拉帕米发布了新的文献求助10
9秒前
9秒前
9秒前
10秒前
10秒前
大模型应助NJK采纳,获得10
10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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7309192
求助须知:如何正确求助?哪些是违规求助? 8926325
关于积分的说明 18918042
捐赠科研通 6971324
什么是DOI,文献DOI怎么找? 3212929
关于科研通互助平台的介绍 2381391
邀请新用户注册赠送积分活动 2190698