We present an open-source computational tool for the 2D simulation of the Diffusive-Logistic Growth (DLG) model. The r.recovery module offers a complete environment for the simulation of forestry regeneration in conservation areas and includes a built-in tool for calibration and validation of the model parameters through the use of standard and freely available satellite imagery. It was implemented as an add-on to the GRASS software, a largely applied open-source Geographic Information System (GIS). To illustrate its application, we present a complete case study of forest regeneration carried out in the Espigão Alto State Park (EASP), Brazil, from which we assess typical values of forest diffusion and growth rate parameters, along with the prognostics of forest density status for the coming decades. We observe that the r.recovery tool can be advantageously applied by forestry managers and policy-makers as a form of acquiring technical and scientifically-based information for strategy development and decision-making.

我们提出了一种用于扩散后勤增长（DLG）模型的2D模拟的开源计算工具。r.recovery模块为模拟保护区的林业更新提供了一个完整的环境，并包括一个内置工具，可通过使用标准和免费提供的卫星图像来校准和验证模型参数。它是作为GRASS软件的一个附加组件而实现的，GRASS软件是一种广泛应用的开源地理信息系统（GIS）。为了说明其应用，我们提供了一个在巴西埃斯皮瓜奥多州立公园（EASP）进行的森林更新的完整案例研究，从中我们评估了森林扩散和生长速率参数的典型值以及森林密度状况的预测在未来的几十年中。我们观察到r。