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<p>The demand for timber drives the need for sustainable forest management strategies informed by species-specific spatial patterns. This study evaluated the horizontal structure and spatial distribution of the 10 commercially most valuable tree species in a 1500&#xa0;ha management unit within the Tapajós-Arapiuns Extractive Reserve, Pará, Northern Brazil. A forest census of diameters recorded all trees with diameter at breast height ≥ 35&#xa0;cm, with precise Cartesian coordinates. Species were analyzed in two diameter classes: remnant (35–49.9&#xa0;cm) and commercial (≥ 50&#xa0;cm). Kernel density maps and Ripley’s K function were used to characterize spatial patterns. Results showed predominance of Fabaceae, Burseraceae, Sapotaceae, and Vochysiaceae families. Most species exhibited aggregated spatial patterns, with higher density in the commercial class, highlighting priority zones for management interventions. These findings demonstrate that knowledge of species-specific spatial structure supports optimized harvesting, effective sampling design, and sustainable management planning, contributing to both productivity and conservation in tropical managed forests.</p>

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Spatial Distribution Patterns and Horizontal Structure of Commercial Tree Species in the Tapajós-Arapiuns Extractive Reserve, Brazilian Amazon

  • 期刊论文

  • 发表日期：

    2026年1月7日

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  • Deiwisson Willam da Silva Santos,
  • Thiago Floriani Stepka,
  • André Felipe Hess

摘要

The demand for timber drives the need for sustainable forest management strategies informed by species-specific spatial patterns. This study evaluated the horizontal structure and spatial distribution of the 10 commercially most valuable tree species in a 1500 ha management unit within the Tapajós-Arapiuns Extractive Reserve, Pará, Northern Brazil. A forest census of diameters recorded all trees with diameter at breast height ≥ 35 cm, with precise Cartesian coordinates. Species were analyzed in two diameter classes: remnant (35–49.9 cm) and commercial (≥ 50 cm). Kernel density maps and Ripley’s K function were used to characterize spatial patterns. Results showed predominance of Fabaceae, Burseraceae, Sapotaceae, and Vochysiaceae families. Most species exhibited aggregated spatial patterns, with higher density in the commercial class, highlighting priority zones for management interventions. These findings demonstrate that knowledge of species-specific spatial structure supports optimized harvesting, effective sampling design, and sustainable management planning, contributing to both productivity and conservation in tropical managed forests.