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Titlebook: Sustainable Forest Management; Growth Models for Eu Hubert Hasenauer Book 2006 Springer-Verlag Berlin Heidelberg 2006 Baumwachstum.Entschei

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11#
發(fā)表于 2025-3-23 13:46:35 | 只看該作者
Timo Pukkalaatoire. Parallèlement, des médiateurs anti-inflammatoires tendant à limiter le processus inflammatoire, sont également produits. Si le sepsis est associé dans les temps précoces à une production exacerbée de la majorité d’entre eux, on parle alors de tempête cytokinique, il faut garder en mémoire qu
12#
發(fā)表于 2025-3-23 15:19:14 | 只看該作者
13#
發(fā)表于 2025-3-23 20:31:22 | 只看該作者
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發(fā)表于 2025-3-23 22:12:10 | 只看該作者
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發(fā)表于 2025-3-24 03:16:53 | 只看該作者
16#
發(fā)表于 2025-3-24 06:38:23 | 只看該作者
three years of work related to the topic, carried out as a joint effort of leading tree growth modellers across Europe together with forest companies. By means of nine specific examples it demonstrates the problem-solving potential of tree growth modeling theory as required by various end-user groups..978-3-642-06551-4978-3-540-31304-5
17#
發(fā)表于 2025-3-24 12:22:50 | 只看該作者
d user groups.There is a strong movement towards uneven-aged forest management based on the idea that such stands increase or at least maintain soil fertility, increase biodiversity, and improve stand resilience. This shift in forest management practice renders existing yield tables increasingly unr
18#
發(fā)表于 2025-3-24 15:17:32 | 只看該作者
Concepts Within Tree Growth Modelingt management system, existing yield tables will become increasingly unreliable as the main forest management tool to ensure sustainable harvesting. As a potential alternative, tree growth models have been developed to forecast the growth of each tree within a stand independent of tree age, species m
19#
發(fā)表于 2025-3-24 21:13:34 | 只看該作者
20#
發(fā)表于 2025-3-25 00:29:55 | 只看該作者
Standardizing and Categorizing Tree Growth Modelsription and evaluation of growth models and growth simulators and indicates research needs. The recommendations aim to give users of growth simulators confidence in the transition to modern prediction systems and to increase the level of acceptance of new information technologies. The recommendation
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