Upward expansion and acceleration of forest clearance in the mountains of Southeast Asia

生物多样性 地理 气候变化 碳储量 雨林 森林覆盖 自然地理学 环境科学 农林复合经营 林业 生态学 生物
作者
Yu Feng,Alan D. Ziegler,Paul R. Elsen,Yang Liu,Xinyue He,Dominick V. Spracklen,Joseph Holden,Xin Jiang,Chunmiao Zheng,Zhenzhong Zeng
出处
期刊:Nature sustainability [Springer Nature]
卷期号:4 (10): 892-899 被引量:112
标识
DOI:10.1038/s41893-021-00738-y
摘要

Southeast Asia contains about half of all tropical mountain forests, which are rich in biodiversity and carbon stocks, yet there is debate as to whether regional mountain forest cover has increased or decreased in recent decades. Here, our analysis of high-resolution satellite datasets reveals increasing mountain forest loss across Southeast Asia. Total mean annual forest loss was 3.22 Mha yr−1 during 2001–2019, with 31% occurring on the mountains. In the 2010s, the frontier of forest loss moved to higher elevations (15.1 ± 3.8 m yr−1 during 2011–2019, P < 0.01) and steeper slopes (0.22 ± 0.05° yr−1 during 2009–2019, P < 0.01) that have high forest carbon density relative to the lowlands. These shifts led to unprecedented annual forest carbon loss of 424 Tg C yr−1, accelerating at a rate of 18 ± 4 Tg C yr−2 (P < 0.01) from 2001 to 2019. Our results underscore the immediate threat of carbon stock losses associated with accelerating forest clearance in Southeast Asian mountains, which jeopardizes international climate agreements and biodiversity conservation. Southeast Asia contains half the world’s tropical mountain forests. This study finds increasing mountain forest loss there, with the clearing frontier moving higher in the 2010s and causing unprecedented carbon loss.
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
刚刚
刚刚
刚刚
斯文败类应助快乐的大有采纳,获得10
刚刚
yaohaha发布了新的文献求助10
1秒前
1秒前
HUA完成签到,获得积分10
1秒前
cruel发布了新的文献求助10
2秒前
吾新完成签到,获得积分10
2秒前
HY发布了新的文献求助10
2秒前
2秒前
2秒前
远山完成签到,获得积分10
3秒前
小小明完成签到,获得积分20
4秒前
4秒前
nini发布了新的文献求助10
4秒前
固的曼完成签到,获得积分0
5秒前
zeyula发布了新的文献求助30
5秒前
上官若男应助舒心的初露采纳,获得10
5秒前
5秒前
马铃薯发布了新的文献求助80
6秒前
6秒前
6秒前
内向皮卡丘完成签到,获得积分10
6秒前
6秒前
6秒前
赘婿应助caicai采纳,获得10
6秒前
科研通AI6.3应助com采纳,获得10
6秒前
7秒前
科目三应助吾新采纳,获得10
7秒前
7秒前
bkagyin应助谢大喵采纳,获得10
8秒前
lhazcy发布了新的文献求助10
8秒前
酷酷语兰发布了新的文献求助10
8秒前
8秒前
搜集达人应助Zzx采纳,获得10
8秒前
kuokyt发布了新的文献求助10
8秒前
汉堡包应助FOOG采纳,获得10
9秒前
开放的寒梅完成签到,获得积分20
9秒前
楠楠完成签到,获得积分10
9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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6064920
求助须知:如何正确求助?哪些是违规求助? 7897254
关于积分的说明 16319646
捐赠科研通 5207631
什么是DOI,文献DOI怎么找? 2786029
邀请新用户注册赠送积分活动 1768784
关于科研通互助平台的介绍 1647655