A tree hollow dynamics simulation model

A tree hollow dynamics simulation model
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DOI:
10.1016/s0378-1127(99)00026-2
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发表时间:
1999-11-08
影响因子:
3.7
通讯作者:
Possingham, HP
Possingham, HP
中科院分区:
农林科学1区
文献类型:
--
作者:
Ball, IR;Lindenmayer, DB;Possingham, HP

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本文描述了一个模拟森林动态的确定性计算机模型。该模型预测了在几个世纪的时间尺度内,在一系列不同的木材采伐制度下,单物种(单型)森林林分中空心树的长期动态。它被应用到一些不同的木材采伐方案在山灰(Eucalyptus regnans F。Muell.)澳大利亚东南部维多利亚的森林。计算机实验得出的结果对森林管理具有深远的影响,如果没有模型,就不可能轻易预测。其中包括:(1)在采伐周期为100年以下的情况下,仅保留已出现空洞的树木,无法确保空洞树木的供给;(2)如果因采伐而损失了一部分树木,空洞树木的数量受到的影响就被夸大了。例如,如果一半保留的树木因伐木而死亡,那么为了保持相同数量的空心树,保留的树木数量增加一倍是不够的。HOLSIM是森林和野生动物管理人员的规划工具。它将协助它们预测特定森林管理制度造成的长期林分状况。在几个采伐周期内作出预测的能力对于审查采伐战略对森林生态系统的动态和结构的影响、确定特定的管理战略是否能达到特定的目标、预测林业作业对依赖空心的动物的影响以及帮助更好地将生物多样性养护纳入木材生产林是极其重要的。(C)1999 Elsevier Science B. V.保留所有权利。
This paper describes a deterministic computer model for simulating forest dynamics. The model predicts the long-term dynamics of hollow-bearing trees which occur in a single-species (monotypic) forest stand under an array of different timber harvesting regimes over a time scale of centuries. It is applied to a number of different timber harvesting scenarios in the mountain ash (Eucalyptus regnans F. Muell.) forests of Victoria, south-eastern Australia. Computer experiments give results that have far-reaching implications for forest management and could not have easily been predicted without a model. These include: (1) when the harvest rotation time is 100 years or less, a supply of trees with hollows cannot be ensured by only retaining trees which already have hollows: and (2) when some retained trees are lost through logging-related mortality, the effect on the number of trees with hollows is exaggerated. For instance, if half of the retained trees are lost via logging-related mortality, it is not sufficient to double the number of trees retained in order to maintain the same number of hollow-bearing trees.HOLSIM is a planning tool for forest and wildlife managers. it will assist them in forecasting long-term stand conditions that result from particular forest management regimes. The ability to make predictions over several harvesting cycles is extremely important for examining the effects of harvesting strategies on the dynamics and structure of forest ecosystems, determining if given management strategies will meet particular targets, anticipating the impacts of forestry operations on hollow-dependent fauna, and helping to better integrate biodiversity conservation within wood production forests. (C) 1999 Elsevier Science B.V. All rights reserved.