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The worldwide leaf economics spectrum

doi: 10.1038/nature02403
pmid: 15103368
Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.
- Tohoku University Japan
- Stanford University United States
- UNSW Sydney Australia
- Polish Academy of Learning Poland
- University of Concepción Chile
leaf traits, INVESTMENT, Climate, Rain, CLIMATE CHANGE, SEED PRODUCTION, spectrum, BIOMASS, dry mass, Biologie/Milieukunde (BIOL), MODELS, BIOLOGICAL, CLIMATE EFFECT, Nutritional Physiological Phenomena, Biomass, Photosynthesis, LAND USE, PRIORITY JOURNAL, functional-groups, biodiversity, ALLOMETRY, INVESTMENTS, Geography, BIOME, HUMAN, INFORMATION SCIENCE, Life sciences, tree, NUTRITION PHYSIOLOGY, leaf economics, LEAF ECONOMICS SPECTRUM, leaves, ECONOMIC AND SOCIAL EFFECTS, GEOGRAPHY, Leerstoelgroep Bosecologie en bosbeheer, Models, Biological, photosynthesis-nitrogen relations, LEAF, PLANT LEAF, nutrients, high-rainfall, DATA REDUCTION, NONHUMAN, PLANT LEAVES, NUTRIENT AVAILABILITY, ARTICLE, PHYSIOLOGY, Ecosystem, 580, life-span, ECONOMICS, PHOTOSYNTHESIS, RAIN, nutrient, land use, use efficiency, area, PLANT GROWTH, CLIMATE, Plant Leaves, SPECTRUM ANALYSIS, DRY MASS, ECOSYSTEM, BIODIVERSITY, VEGETATION
leaf traits, INVESTMENT, Climate, Rain, CLIMATE CHANGE, SEED PRODUCTION, spectrum, BIOMASS, dry mass, Biologie/Milieukunde (BIOL), MODELS, BIOLOGICAL, CLIMATE EFFECT, Nutritional Physiological Phenomena, Biomass, Photosynthesis, LAND USE, PRIORITY JOURNAL, functional-groups, biodiversity, ALLOMETRY, INVESTMENTS, Geography, BIOME, HUMAN, INFORMATION SCIENCE, Life sciences, tree, NUTRITION PHYSIOLOGY, leaf economics, LEAF ECONOMICS SPECTRUM, leaves, ECONOMIC AND SOCIAL EFFECTS, GEOGRAPHY, Leerstoelgroep Bosecologie en bosbeheer, Models, Biological, photosynthesis-nitrogen relations, LEAF, PLANT LEAF, nutrients, high-rainfall, DATA REDUCTION, NONHUMAN, PLANT LEAVES, NUTRIENT AVAILABILITY, ARTICLE, PHYSIOLOGY, Ecosystem, 580, life-span, ECONOMICS, PHOTOSYNTHESIS, RAIN, nutrient, land use, use efficiency, area, PLANT GROWTH, CLIMATE, Plant Leaves, SPECTRUM ANALYSIS, DRY MASS, ECOSYSTEM, BIODIVERSITY, VEGETATION
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7K popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.01% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 0.01% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.01%
