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Geostatistical modeling applied to spatiotemporal dynamics of successional tree species groups in a natural Mixed Tropical Forest

机译:地统计模型应用于天然混合热带森林中演替树种群的时空动态

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A lack of ecological knowledge leads to innovative tools for investigating spatial relationships in natural forests, among which geostatistics stands out as a set of statistical techniques for modeling and mapping. Thus, this paper aims to apply geostatistical analysis to map and correlate the spatial patterns and dynamics of the basal area for successional tree species groups in a Mixed Tropical Forest remnant in the southern part of Brazil. The floristic composition was obtained through continuous inventory conducted in 400 plots, where the basal area was evaluated for total stock and ecological groups: pioneer, early secondary, late secondary and climax. Subsequently, geostatistical analysis was used for modeling the spatial patterns of the basal area, and ordinary kriging interpolation was applied to compose thematic maps. The results show that the forest structure presents spatial dependence and heterogeneous distribution, in which the spatial behavior of successional tree groups is associated with species aggregation patterns. Moreover, spatial dynamics are influenced by basal area increment, in which spatial changes indicate a natural forest in an advanced secondary successional stage, reflecting a favorable conservation status. This shows the importance of Conservation Units policies as preservation strategies and biodiversity sources for forest restoration. (C) 2017 Elsevier Ltd. All rights reserved.
机译:缺乏生态知识导致研究自然森林空间关系的创新工具,其中地统计学作为一套用于建模和制图的统计技术脱颖而出。因此,本文旨在应用地统计学分析来绘制和关联巴西南部混合热带森林遗迹中演替树种群的基础区域的空间格局和动态。通过在400个样地中连续进行盘点获得植物区系组成,其中对基础区域的总种群和生态组进行了评估:先驱,初次,后期和高潮。随后,利用地统计学方法对基础区域的空间格局进行建模,并使用普通克里金插值法制作专题图。结果表明,森林结构具有空间依赖性和异质性分布,其中演替树群的空间行为与物种聚集模式有关。此外,空间动力学受基础面积增加的影响,其中空间变化表明天然林处于次生演替的晚期,反映了良好的保护状况。这表明了保护单位政策作为森林恢复的保护战略和生物多样性来源的重要性。 (C)2017 Elsevier Ltd.保留所有权利。

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