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Using the spatial grain of regeneration to select harvestable tree species in subtropical forest

机译:利用再生空间粒数选择亚热带森林可采树种

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We describe a graphic model for selecting tree species suitable for harvesting of pole-sized stems. Pole size stems are the most harvested size class by rural users of African forest. Increasing harvesting pressure on this size class has created an urgent need for tree species selection and harvest off-take strategies that differ from large-scale and canopy tree-logging processes. Methods for selecting species suitable for harvesting are constrained in their complexity by the need to use available data that are typically from single survey, size-class frequency distributions (SCDs) of population structure. Using SCD data sets from three subtropical Afromontane forests in South Africa, we use the spatial scale (grain) of regeneration of the harvestable fraction of pole-sized stems to identify species that can be harvested. In fine-grained species the sub-canopy individuals are well represented beneath the canopy of mature conspecifics and thus display high levels of natural regeneration over a small spatial scale. Fine-grained species are suitable for harvesting because there is a large supply of pole-sized trees whose exploitation has potentially less effect on forest structure and composition than the use of coarse-grained species. Furthermore, because the abundant fine-grained species may experience strong neighbourhood effects in time, and their stem densities are likely to be regulated by density-dependent factors, judicious exploitation of these species is arguably an extension of the natural process of density-dependent self-thinning. In contrast, coarse-grained species regenerate over large areas and at low densities and their use requires careful management and should probably be restricted. Unfortunately, most species being targeted for harvesting are coarse- to medium-grained and appear to regenerate at levels insufficient for replacement. Using the spatial grain of regeneration to select harvestable species does not provide estimates of sustainable harvesting rates. These critical harvesting limits (stems ha(-1) per annum) are set from experience. Incorporated into the management process, this model provides a simple means of ensuring that levels of natural regeneration are maintained without the need for intervention to maintain either tree species diversity, or potential economic value for pole production, in heavily used subtropical forests.
机译:我们描述了一个图形模型,用于选择适合收割极杆茎的树木。杆径茎是非洲森林的农村使用者收成最多的尺寸。这种规模的采伐压力越来越大,迫切需要树种的选择和采伐策略,这些策略不同于大规模和冠层采伐树木的过程。由于需要使用通常来自单次调查,种群结构的大小级频率分布(SCD)的可用数据,因此选择适合收获物种的方法的复杂性受到限制。使用来自南非三个亚热带Afromontane森林的SCD数据集,我们使用极大小的茎的可收获部分的再生的空间尺度(颗粒)来识别可收获的物种。在细粒物种中,亚冠层个体在成熟同种的冠层之下得到了很好的表现,因此在较小的空间尺度上显示出高水平的自然更新。细粒树种很适合采伐,因为极杆树的供应量很大,其砍伐对森林结构和组成的影响可能比使用粗粒树种的影响小。此外,由于丰富的细粒物种可能会及时经历强烈的邻域效应,并且它们的茎密度很可能受到密度依赖性因素的调节,因此明智地利用这些物种可以说是密度依赖性自我的自然过程的延伸。 -变薄。相反,粗粮物种在大面积和低密度下可再生,其使用需要谨慎管理,可能应加以限制。不幸的是,大多数要收获的物种都是粗粒到中粒的,并且似乎以不足以替代的水平再生。使用再生的空间粒度来选择可收获的物种并不能提供可持续的收获率估计。这些关键的收获极限(每年茎ha(-1))是根据经验确定的。在管理过程中,该模型提供了一种简单的方法,可确保在频繁使用的亚热带森林中维持自然再生水平,而无需干预以维持树木物种多样性或极地生产的潜在经济价值。

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