特质
生物
比叶面积
光合作用
植被(病理学)
概括性
植物
光合能力
生态学
航程(航空)
农学
复合材料
心理治疗师
程序设计语言
材料科学
病理
医学
计算机科学
心理学
作者
Ian J. Wright,Peter B. Reich,J. H. C. Cornelissen,Daniel S. Falster,Éric Garnier,Kouki Hikosaka,Byron B. Lamont,William Lee,Jacek Oleksyn,Noriyuki Osada,Hendrik Poorter,Rafael Villar,David I. Warton,Mark Westoby
标识
DOI:10.1111/j.1469-8137.2005.01349.x
摘要
Global-scale quantification of relationships between plant traits gives insight into the evolution of the world's vegetation, and is crucial for parameterizing vegetation-climate models. A database was compiled, comprising data for hundreds to thousands of species for the core 'leaf economics' traits leaf lifespan, leaf mass per area, photosynthetic capacity, dark respiration, and leaf nitrogen and phosphorus concentrations, as well as leaf potassium, photosynthetic N-use efficiency (PNUE), and leaf N : P ratio. While mean trait values differed between plant functional types, the range found within groups was often larger than differences among them. Future vegetation-climate models could incorporate this knowledge. The core leaf traits were intercorrelated, both globally and within plant functional types, forming a 'leaf economics spectrum'. While these relationships are very general, they are not universal, as significant heterogeneity exists between relationships fitted to individual sites. Much, but not all, heterogeneity can be explained by variation in sample size alone. PNUE can also be considered as part of this trait spectrum, whereas leaf K and N : P ratios are only loosely related.
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