Leaf biomechanical traits predict litter decomposability

植物凋落物 垃圾箱 生物 农学 生态学 环境科学 生态系统
作者
Hang Wang,Hongwei Li,Yusuke Onoda,Yuanjie Xu,Liangfan Ma,Jianfeng Zhao,Jinfeng Qi
出处
期刊:Journal of Ecology [Wiley]
被引量:1
标识
DOI:10.1111/1365-2745.70019
摘要

Abstract Leaf biomechanical strength is important not only in plant defence strategies but also in “after‐life” effects—determining leaf‐litter decomposability. It is a composite metric that can be evaluated by fracturing a leaf using multiple methods. However, such after‐life effects have not been systematically evaluated. We assessed 40 leaf functional traits, including 12 biomechanical traits measured through three standard tests (i.e. punch, tensile and shearing tests) and categorized as fracture length‐, fracture area‐ or mass‐based traits, to predict leaf‐litter decomposition dynamics among 186 species from diverse functional groups. Categorized as fracture length‐based traits, they outcompeted fracture area‐ and mass‐based traits in predicting decomposition rates, with “force to punch” emerging as the best predictor, followed by “work to shear”. After incorporating all studied traits into a multidimensional trait space, the first principal component axis accounted for 44.3% of the total variation in decomposition rates, whereas excluding biomechanical traits reduced the variation explained to 31.6%. The leaf's inherent resistance properties independently influenced litter decomposability beyond tissue density and lamina thickness, rendering leaf mass per area an incomplete proxy for biomechanical traits. Additionally, using the tensile force for leaves with parallel veins would underestimate leaf‐litter decomposition rates. In contrast, focusing on punch force and shearing work as principal biomechanical traits offers a promising research avenue for an improved understanding of how leaf decomposability is determined. Synthesis . Our results provide the first evaluation of leaf biomechanical traits from three standard physical resistance tests as predictors of leaf‐litter decomposability. These biomechanical traits complement chemical, structural and morphological traits and should be more effectively integrated into existing models to enhance our comprehension of the leaf‐litter decomposition process.
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
糖糖完成签到 ,获得积分10
刚刚
邵小庆完成签到,获得积分10
4秒前
称心的板栗完成签到,获得积分10
10秒前
坚强的卷儿完成签到 ,获得积分10
17秒前
17秒前
小乙猪完成签到 ,获得积分0
17秒前
危险的鲅鱼完成签到 ,获得积分10
18秒前
shaiiwe完成签到,获得积分10
19秒前
1111完成签到 ,获得积分10
23秒前
蛋斤发布了新的文献求助10
24秒前
清秀小海豚完成签到 ,获得积分10
26秒前
roundtree完成签到 ,获得积分10
26秒前
arniu2008应助科研通管家采纳,获得20
27秒前
27秒前
arniu2008应助科研通管家采纳,获得20
27秒前
Nature完成签到,获得积分10
27秒前
田様应助科研通管家采纳,获得10
27秒前
丸子完成签到 ,获得积分10
27秒前
Orange应助蛋斤采纳,获得10
29秒前
善良的汉堡完成签到 ,获得积分10
32秒前
Pami发布了新的文献求助10
34秒前
小金牛完成签到 ,获得积分10
34秒前
穆里完成签到 ,获得积分10
35秒前
36秒前
HZH完成签到 ,获得积分10
37秒前
科研浩完成签到 ,获得积分10
38秒前
楼观完成签到 ,获得积分10
43秒前
肉肉完成签到 ,获得积分10
45秒前
thanhmanhp完成签到,获得积分10
47秒前
12345678发布了新的文献求助10
47秒前
50秒前
郭1994完成签到 ,获得积分10
54秒前
57秒前
58秒前
自由的鱼发布了新的文献求助10
58秒前
蛋斤发布了新的文献求助10
1分钟前
科研通AI2S应助kouke80采纳,获得20
1分钟前
hnxxangel发布了新的文献求助10
1分钟前
1分钟前
盼盼完成签到,获得积分20
1分钟前
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
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
the fractional Laplacian 400
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 7668007
求助须知:如何正确求助?哪些是违规求助? 9236700
关于积分的说明 19880952
捐赠科研通 7237157
什么是DOI,文献DOI怎么找? 3284036
关于科研通互助平台的介绍 2442942
邀请新用户注册赠送积分活动 2285536