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首页> 外文期刊>Ecological Applications >Modeling spatial decisions with graph theory: Logging roads and forest fragmentation in the Brazilian Amazon
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Modeling spatial decisions with graph theory: Logging roads and forest fragmentation in the Brazilian Amazon

机译:使用图论对空间决策建模:在巴西亚马逊地区记录道路和森林碎片

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This article addresses the spatial decision-making of loggers and implications for forest fragmentation in the Amazon basin. It provides a behavioral explanation for fragmentation by modeling how loggers build road networks, typically abandoned upon removal of hardwoods. Logging road networks provide access to land, and the settlers who take advantage of them clear fields and pastures that accentuate their spatial signatures. In shaping agricultural activities, these networks organize emergent patterns of forest fragmentation, even though the loggers move elsewhere. The goal of the article is to explicate how loggers shape their road networks, in order to theoretically explain an important type of forest fragmentation found in the Amazon basin, particularly in Brazil. This is accomplished by adapting graph theory to represent the spatial decision-making of loggers, and by implementing computational algorithms that build graphs interpretable as logging road networks. The economic behavior of loggers is conceptualized as a profit maximization problem, and translated into spatial decision-making by establishing a formal correspondence between mathematical graphs and road networks. New computational approaches, adapted from operations research, are used to construct graphs and simulate spatial decision-making as a function of discount rates, land tenure, and topographic constraints. The algorithms employed bracket a range of behavioral settings appropriate for areas of terras devolutas, public lands that have not been set aside for environmental protection, indigenous peoples, or colonization. The simulation target sites are located in or near so-called Terra do Meio, once a major logging frontier in the lower Amazon Basin. Simulation networks are compared to empirical ones identified by remote sensing and then used to draw inferences about factors influencing the spatial behavior of loggers. Results overall suggest that Amazonia's logging road networks induce more fragmentation than necessary to access fixed quantities of wood. The paper concludes by considering implications of the approach and findings for Brazil's move to a system of concession logging.
机译:本文讨论了伐木工人的空间决策以及对亚马逊河流域森林破碎化的影响。它通过对记录器如何建立道路网络(通常在移除硬木后便会废弃)进行建模来提供碎片化的行为解释。伐木公路网络提供了通往土地的通道,利用这些土地的定居者可以通过清晰的田野和牧场来强调其空间特征。尽管伐木者搬到其他地方,但在塑造农业活动时,这些网络组织了森林碎片化的新兴模式。本文的目的是阐明伐木工人如何塑造其道路网络,以便从理论上解释在亚马逊河流域(尤其是在巴西)发现的一种重要的森林碎片类型。这可以通过采用图论来表示记录器的空间决策,以及通过实施可构建可解释为测井道路网络的图的计算算法来实现。伐木工人的经济行为被概念化为利润最大化问题,并通过在数学图形和道路网络之间建立正式的对应关系而转化为空间决策。运筹学采用了新的计算方法,用于构造图并模拟折扣率,土地使用权和地形约束条件下的空间决策。所采用的算法对一系列行为设置进行了适当的设置,这些行为设置适用于自然界,尚未为环境保护而留出的公共土地,土著人民或殖民地。模拟目标站点位于所谓的Terra do Meio或附近,Terra do Meio曾经是亚马逊河下游盆地的主要采伐前沿。将模拟网络与通过遥感识别的经验网络进行比较,然后用于得出有关影响记录仪空间行为的因素的推论。总体而言,结果表明,亚马逊地区的伐木道路网络导致的碎片化程度超过了获取固定数量木材所需的碎片化程度。本文最后通过考虑该方法和结果对巴西转向特许采伐系统的意义进行总结。

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