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      Rate of tree carbon accumulation increases continuously with tree size.

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          Abstract

          Forests are major components of the global carbon cycle, providing substantial feedback to atmospheric greenhouse gas concentrations. Our ability to understand and predict changes in the forest carbon cycle--particularly net primary productivity and carbon storage--increasingly relies on models that represent biological processes across several scales of biological organization, from tree leaves to forest stands. Yet, despite advances in our understanding of productivity at the scales of leaves and stands, no consensus exists about the nature of productivity at the scale of the individual tree, in part because we lack a broad empirical assessment of whether rates of absolute tree mass growth (and thus carbon accumulation) decrease, remain constant, or increase as trees increase in size and age. Here we present a global analysis of 403 tropical and temperate tree species, showing that for most species mass growth rate increases continuously with tree size. Thus, large, old trees do not act simply as senescent carbon reservoirs but actively fix large amounts of carbon compared to smaller trees; at the extreme, a single big tree can add the same amount of carbon to the forest within a year as is contained in an entire mid-sized tree. The apparent paradoxes of individual tree growth increasing with tree size despite declining leaf-level and stand-level productivity can be explained, respectively, by increases in a tree's total leaf area that outpace declines in productivity per unit of leaf area and, among other factors, age-related reductions in population density. Our results resolve conflicting assumptions about the nature of tree growth, inform efforts to undertand and model forest carbon dynamics, and have additional implications for theories of resource allocation and plant senescence.

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          Most cited references38

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          Age-Related Decline in Forest Productivity: Pattern and Process

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            Use of Logarithmic Regression in the Estimation of Plant Biomass

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              Global allocation rules for patterns of biomass partitioning in seed plants.

              A general allometric model has been derived to predict intraspecific and interspecific scaling relationships among seed plant leaf, stem, and root biomass. Analysis of a large compendium of standing organ biomass sampled across a broad sampling of taxa inhabiting diverse ecological habitats supports the relations predicted by the model and defines the boundary conditions for above- and below-ground biomass partitioning. These canonical biomass relations are insensitive to phyletic affiliation (conifers versus angiosperms) and variation in averaged local environmental conditions. The model thus identifies and defines the limits that have guided the diversification of seed plant biomass allocation strategies.
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                Author and article information

                Journal
                Nature
                Nature
                1476-4687
                0028-0836
                Mar 6 2014
                : 507
                : 7490
                Affiliations
                [1 ] US Geological Survey, Western Ecological Research Center, Three Rivers, California 93271, USA.
                [2 ] Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama.
                [3 ] School of Biological Sciences, University of Nebraska, Lincoln, Nebraska 68588, USA.
                [4 ] Department of Forest and Ecosystem Science, University of Melbourne, Victoria 3121, Australia.
                [5 ] 1] School of Biological Sciences, University of Nebraska, Lincoln, Nebraska 68588, USA [2] Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio 43210, USA (N.G.B.); German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany (N.R.).
                [6 ] Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK.
                [7 ] Department of Geography, University College London, London WC1E 6BT, UK.
                [8 ] School of Botany, University of Melbourne, Victoria 3010, Australia.
                [9 ] 1] Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama [2] Spezielle Botanik und Funktionelle Biodiversität, Universität Leipzig, 04103 Leipzig, Germany [3] Mathematical Biosciences Institute, Ohio State University, Columbus, Ohio 43210, USA (N.G.B.); German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig, 04103 Leipzig, Germany (N.R.).
                [10 ] Jardín Botánico de Medellín, Calle 73, No. 51D-14, Medellín, Colombia.
                [11 ] Instituto de Ecología Regional, Universidad Nacional de Tucumán, 4107 Yerba Buena, Tucumán, Argentina.
                [12 ] Research Office, Department of National Parks, Wildlife and Plant Conservation, Bangkok 10900, Thailand.
                [13 ] Department of Botany and Plant Physiology, Buea, Southwest Province, Cameroon.
                [14 ] Smithsonian Institution Global Earth Observatory-Center for Tropical Forest Science, Smithsonian Institution, PO Box 37012, Washington, DC 20013, USA.
                [15 ] Universidad Nacional de Colombia, Departamento de Ciencias Forestales, Medellín, Colombia.
                [16 ] Wildlife Conservation Society, Kinshasa/Gombe, Democratic Republic of the Congo.
                [17 ] Unité Mixte de Recherche-Peuplements Végétaux et Bioagresseurs en Milieu Tropical, Université de la Réunion/CIRAD, 97410 Saint Pierre, France.
                [18 ] School of Environmental and Forest Sciences, University of Washington, Seattle, Washington 98195, USA.
                [19 ] State Key Laboratory of Forest and Soil Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China.
                [20 ] Department of Forest Ecosystems and Society, Oregon State University, Corvallis, Oregon 97331, USA.
                [21 ] 1] Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama [2] Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California 90095, USA.
                [22 ] Department of Life Science, Tunghai University, Taichung City 40704, Taiwan.
                [23 ] Facultad de Ciencias Agrarias, Universidad Nacional de Jujuy, 4600 San Salvador de Jujuy, Argentina.
                [24 ] Faculty of Forestry, Kasetsart University, ChatuChak Bangkok 10900, Thailand.
                [25 ] Taiwan Forestry Research Institute, Taipei 10066, Taiwan.
                [26 ] Department of Natural Resources and Environmental Studies, National Dong Hwa University, Hualien 97401, Taiwan.
                [27 ] Sarawak Forestry Department, Kuching, Sarawak 93660, Malaysia.
                [28 ] Department of Botany and Plant Pathology, Oregon State University, Corvallis, Oregon 97331, USA.
                [29 ] US Geological Survey, Western Ecological Research Center, Arcata, California 95521, USA.
                [30 ] Landcare Research, PO Box 40, Lincoln 7640, New Zealand.
                [31 ] Forest Ecology and Restoration Group, Department of Life Sciences, University of Alcalá, Alcalá de Henares, 28805 Madrid, Spain.
                Article
                nature12914
                10.1038/nature12914
                24429523
                0695bd6e-88d7-4876-a11d-25cba0be096c
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