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Biomass partitioning and growth efficiency in four naturally regenerated forest tree species
Authors:B Konôpka  J Pajtík  M Morav?ík  M Lukac
Institution:1. National Forest Centre, Forest Research Institute, Zvolen, 960 92, Slovak Republic;2. NERC Centre for Population Biology, Imperial College London, Ascot, SL5 7PY, UK;1. Department of Forest Sciences, P.O. Box 27, 00014 University of Helsinki, Finland;2. Natural Resources Institute Finland, Jokiniemenkuja 1, 01301 Vantaa, Finland;1. The Nature Conservancy, Arizona Chapter, United States;2. Department of Forest Ecosystems and Society, Oregon State University, United States;3. Oregon Natural Resource Education Program, Forestry Extension, Oregon State University, United States;1. Institute of Dendrology, Polish Academy of Sciences, Parkowa 5, 62-035 Kórnik, Poland;2. Poznań University of Life Sciences, Faculty of Forestry, Department of Game Management and Forest Protection, Wojska Polskiego 71c, 60-625 Poznań, Poland;1. Jomo Kenyatta University of Agriculture and Technology (JKUAT), P.O. Box 62000, 00200 Nairobi, Kenya;2. World Agroforestry Centre (ICRAF), P.O. Box 30677, Nairobi 00100, Kenya;3. World Agroforestry Centre (ICRAF), P.O. Box 1558, Lima 12, Peru;4. World Agroforestry Centre (ICRAF), P.O. Box 161, Bogor 16001, Indonesia
Abstract:Current forest growth models and yield tables are almost exclusively based on data from mature trees, reducing their applicability to young and developing stands. To address this gap, young European beech, sessile oak, Scots pine and Norway spruce trees approximately 0–10 yr old were destructively sampled in a range of naturally regenerated forest stands in Central Europe. Diameter at base and height was first measured in situ for up to 175 individuals per species. Subsequently, the trees were excavated and dry biomass of foliage, branches, stems and roots was measured. Allometric relations were then used to calculate biomass allocation coefficients (BAC) and growth efficiency (GE) patterns in young trees. We found large differences in BAC and GE between broadleaves and conifers, and also between species within these categories. Both BAC and GE are strongly age-specific in young trees, their rapidly changing values reflecting different growth strategies in the earliest stages of growth. We show that linear relationships describing biomass allocation in older trees are not applicable in young trees. To accurately predict forest biomass and carbon stocks, forest growth models need to include species and age-specific parameters of biomass allocation patterns.
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