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Using forest growth trajectory modelling to complement BioCondition assessment of mine vegetation rehabilitation

机译:使用森林生长轨迹模型来补充矿山植被恢复的生物条件评估

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摘要

The standard rehabilitation objective for open-cut mines in Queensland is to establish a self-sustaining native forest ecosystem. Consequently, mine regulators and managers need tools to project whether sites are likely or not to meet agreed completion criteria and to ensure timely remedial interventions. The Ecosystem Dynamics Simulator (EDS) is such a tool capable of modelling forest dynamics and projecting long-term growth of woody species only. Here, the model was applied to rehabilitation sites aged between 5 and 22 years in Meandu open-cut coal mine in southeast Queensland. EDS projected structural characteristics for trees (height, diameter, basal area, foliage pro-jective cover and stem density) and tree species composition as a function of rehabilitation age. Projected stand growth attributes were assessed against BioCondition benchmarks developed from eucalypt (Eucalyptus/ Corymbid) remnant forests adjacent to the mine. Growth trajectories indicated that sites with >30% eucalypt basal area composition were more likely to develop into euca-lypt-dominated self-sustaining ecosystems compared with sites that were initially dominated by acacias (Acacia spp.). Projections suggested that some benchmark attributes such as number of large eucalypt trees would take more than 70 years to be met. The application of EDS provided a framework to support decisions on early remedial intervention and assess the risk associated with lease relin-quishment.
机译:昆士兰州露天矿的标准恢复目标是建立一个自我维持的原生森林生态系统。因此,矿山监管者和管理者需要工具来预测场址是否可能达到商定的完井标准,并确保及时的补救措施。生态系统动力学模拟器(EDS)是一款能够对森林动力学建模并仅预测木本植物长期生长的工具。在这里,该模型被应用于昆士兰州东南部Meandu露天煤矿年龄在5至22岁之间的康复场所。 EDS预测了树木的结构特征(高度,直径,基面积,枝叶投射覆盖物和茎密度)以及树木种类组成与恢复年龄的关系。根据从矿山附近的桉树(桉树/ Corymbid)残余森林开发的生物状况基准评估了预计的林分生长属性。生长轨迹表明,与最初由阿拉伯树胶(Acacia spp。)占主导地位的站点相比,具有> 30%的桉树基面积组成的站点更可能发展为以桉树为主导的自我维持生态系统。预测表明,一些基准属性(例如大桉树的数量)需要花费70多年的时间才能实现。 EDS的应用提供了一个框架,可支持有关早期补救措施干预的决策并评估与放弃租赁相关的风险。

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