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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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21#
發(fā)表于 2025-3-25 04:21:55 | 只看該作者
22#
發(fā)表于 2025-3-25 10:29:20 | 只看該作者
Harvesting Rules and Modules for Predicting Commercial Timber Assortmentsfferent stand treatments and forest management scenarios as well as giving results in terms of not only cubic metres or biomass, but also commercial assortments, including measures of wood quality. In the context of the ITM EU project, several known growth simulators were supplemented by incorporati
23#
發(fā)表于 2025-3-25 12:31:08 | 只看該作者
Applications of Tree Growth Modelling in Decision Support for Sustainable Forest Management development (SD) is associated with abandoning the concept of even-aged forests. In view of this extended SD perception, the conventional forest planning procedure has to be revised. By relying on yield tables and the model of normative forests at the overall enterprise planning level, the conventi
24#
發(fā)表于 2025-3-25 18:19:01 | 只看該作者
Evaluating Individual Tree Growth Models to achieve a consistent and reliable management output. Generally, a forest growth model consists of a set of model components or functions, estimated independently or simultaneously using a range of different techniques. While an evaluation should examine each individual model component, the overa
25#
發(fā)表于 2025-3-25 23:04:49 | 只看該作者
Modeling Regeneration in Even and Uneven-Aged Mixed Species Forestse how routine inventory data may be used to assess the probability of regeneration within the last 5 years, the species composition and the regeneration density within pure and mixed as well as even and uneven-aged forests. We also propose an approach for predicting juvenile tree height growth and m
26#
發(fā)表于 2025-3-26 01:13:30 | 只看該作者
27#
發(fā)表于 2025-3-26 06:42:08 | 只看該作者
28#
發(fā)表于 2025-3-26 10:35:57 | 只看該作者
29#
發(fā)表于 2025-3-26 16:28:06 | 只看該作者
The Use of Multi-Criteria Decision Analysis and Multi-Objective Optimisation in Forest Planning discussed methods include SMART (the Simple Multi-Attribute Rating Technique), AHP (the Analytic Hierarchy Process), outranking methods, and voting methods. The second part of the chapter summarises various methods of heuristic search, which can be used to find good combinations of management alter
30#
發(fā)表于 2025-3-26 16:56:01 | 只看該作者
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