The global distribution and drivers of wood density and their impact on forest carbon stocks

环境科学 分布(数学) 生态学 碳储量 林业 碳纤维 气候变化 地理 生物 数学 算法 复合数 数学分析
作者
Lidong Mo,Thomas W. Crowther,Daniel S. Maynard,Johan van den Hoogen,Haozhi Ma,Lalasia Bialic‐Murphy,Jingjing Liang,Sergio de‐Miguel,G.J. Nabuurs,Peter B. Reich,Oliver L. Phillips,Meinrad Abegg,Constant Yves Adou Yao,Giorgio Alberti,Angélica M. Almeyda Zambrano,Braulio Vílchez Alvarado,Esteban Álvarez‐Dávila,Patricia Álvarez-Loayza,Luciana F. Alves,Iêda Leão do Amaral
出处
期刊:Nature Ecology and Evolution [Nature Portfolio]
卷期号:8 (12): 2195-2212 被引量:22
标识
DOI:10.1038/s41559-024-02564-9
摘要

The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems.
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
陈杰发布了新的文献求助10
1秒前
1秒前
cdercder应助wuyi采纳,获得10
2秒前
Tinker应助乔恩采纳,获得10
4秒前
Gibbs完成签到,获得积分20
5秒前
科研狗发布了新的文献求助10
5秒前
5秒前
8秒前
orixero应助111222采纳,获得10
9秒前
xcltzh2517完成签到,获得积分10
10秒前
Gibbs发布了新的文献求助10
11秒前
zhzzhz完成签到,获得积分0
13秒前
wanci应助科研通管家采纳,获得10
13秒前
13秒前
星辰大海应助科研通管家采纳,获得10
13秒前
慕青应助科研狗采纳,获得10
13秒前
Nole应助科研通管家采纳,获得10
13秒前
四喜丸子应助科研通管家采纳,获得10
14秒前
一马当先霄完成签到,获得积分10
14秒前
CipherSage应助科研通管家采纳,获得10
14秒前
在水一方应助科研通管家采纳,获得10
14秒前
英姑应助科研通管家采纳,获得10
14秒前
四喜丸子应助科研通管家采纳,获得10
14秒前
NexusExplorer应助加班熬夜采纳,获得10
14秒前
14秒前
情怀应助科研通管家采纳,获得10
14秒前
爆米花应助科研通管家采纳,获得10
15秒前
搜集达人应助科研通管家采纳,获得10
15秒前
15秒前
传奇3应助科研通管家采纳,获得10
15秒前
shark应助科研通管家采纳,获得10
15秒前
顾矜应助科研通管家采纳,获得10
15秒前
15秒前
15秒前
郭囯完成签到,获得积分10
16秒前
四喜丸子应助科研通管家采纳,获得10
16秒前
16秒前
16秒前
16秒前
科研通AI6.4应助dde采纳,获得10
17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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 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 7719278
求助须知:如何正确求助?哪些是违规求助? 9272954
关于积分的说明 20095084
捐赠科研通 7295235
什么是DOI,文献DOI怎么找? 3299806
关于科研通互助平台的介绍 2453549
邀请新用户注册赠送积分活动 2307063