Copaifera oleoresin is an important traditional non-timber forest product in the Amazon; however, the Carajás National Forest has no plans to harvest this product to benefit extractive families. The objective of this study was to determine Copaifera oleoresin extraction potential in the Carajás National Forest, Eastern Amazon, identifying variables that could increase the chances of finding oleoresin. We mapped 129 trees and formulated a multiple logistic regression model (logit) with the collected variables: diameter at breast height (DBH), tree crown, tree health, presence of termites, and presence of damage or bifurcation. Among the mapped trees, we perforated 50 trees to harvest the oleoresin. Most of the oleoresin production occurred in trees with a DBH between 50 and 75 cm. The logit model predicted that an increase in DBH, dense crown, unhollowed trunk, and presence of damage or bifurcation increased the chances of oleoresin extraction, whereas termites did not. The model could contribute to the sustainable management of forest resources by avoiding random perforation of trees and establishing rational routes and cycles of extraction. Since the variables are easily measured, the model can be continuously used for future extractions.

中文翻译：

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Copaifera 属的潜力。用于亚马逊东部可持续开采的油树脂

Copaifera oleresin 是亚马逊地区重要的传统非木材林产品；然而，Carajás 国家森林没有计划收获这种产品以造福采掘业家庭。本研究的目的是确定亚马逊东部 Carajás 国家森林中 Copaifera 油树脂的提取潜力，确定可能增加发现油树脂机会的变量。我们绘制了 129 棵树，并使用收集的变量制定了多元逻辑回归模型 (logit)：胸高直径 (DBH)、树冠、树木健康、白蚁的存在以及损坏或分叉的存在。在映射的树木中，我们对 50 棵树进行了穿孔以收获油树脂。大多数油树脂生产发生在 DBH 在 50 到 75 厘米之间的树木中。logit 模型预测 DBH 的增加，密集的冠，未挖空的树干以及损坏或分叉的存在增加了油树脂提取的机会，而白蚁则没有。该模型可以通过避免树木的随机穿孔和建立合理的采伐路线和循环来促进森林资源的可持续管理。由于变量易于测量，因此该模型可以继续用于未来的提取。