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
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.
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