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Advances in modelling and decision support systems for vegetation management in young forest plantations.

机译:幼林人工林植被管理的建模和决策支持系统的进展。

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The two most common forest vegetation management objectives were to: (1) minimize resource competition, and (2) to develop methods for managing specific weed species. This paper reviews relevant models and decision support systems for assisting in achieving these objectives. The aim of reducing resource competition was to increase crop-tree growth and survival. Several modelling approaches were applied to this problem and these generally estimate crop survival and growth benefits following some form of generalized weed control. Linkages with models of older tree crops were needed for comparing vegetation management strategies in the context of complete silvicultural regimes. More refined individual tree models use competition indices to estimate the quantity of weed vegetation within the growing space around each tree. The indices reflect resource use by the weeds and were sensitive to changes in weed growth over time and to the application of specific vegetation management treatments. Hybrid and process-based models have the potential to provide more generalized models of interspecific competition, but their usefulness for forest practitioners has yet to be proven. Some forest vegetation management problems require a more detailed understanding of the biology and ecology of a specific species. In this case, different modelling approaches that consider overall weed population dynamics, distribution or spread may be appropriate..
机译:森林植被管理的两个最常见目标是:(1)最小化资源竞争,(2)开发用于管理特定杂草物种的方法。本文回顾了有助于实现这些目标的相关模型和决策支持系统。减少资源竞争的目的是增加农作物的生长和生存。针对此问题采用了几种建模方法,这些方法通常可以通过某种形式的广义杂草控制来估计作物的存活和生长效益。需要与较早的树种模型建立联系,以便在完整的造林制度背景下比较植被管理策略。更精细的单个树模型使用竞争指数来估计每棵树周围生长空间内的杂草植被数量。该指数反映了杂草对资源的利用,并且对杂草生长随时间的变化以及对特定植被管理措施的应用敏感。基于过程的混合模型有可能提供更广泛的种间竞争模型,但是它们对森林从业者的有用性尚未得到证实。一些森林植被管理问题需要对特定物种的生物学和生态学有更详细的了解。在这种情况下,考虑整体杂草种群动态,分布或扩散的不同建模方法可能是合适的。

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