An important principle of forest management worldwide is the sustained conservancy of
regional biodiversity. The aim of this study was to investigate the effects of climate and …

This research aimed to develop statistical models to predict basal area increment (BAI) for
Araucaria angustifolia using Artificial Neural Networks (ANNs). Tree species were measured …

Aboveground biomass (AGB) of shrub communities in the desert is a basic quantitative
characteristic of the desert ecosystem and an important index to measure ecosystem …

The assessment of uncertainty in water quality prediction models is crucial for understanding
the reliability of these models. This research focuses on the southern basin area of the …

The maintenance of connectivity is critical to the proper functioning of an ecosystem. The
present study was conducted with the aim of comparing graph theory connectivity indices …

The Hyrcanian forests of Iran are mainly managed with the single-selection silvicultural
technique. Despite significant ecological benefits associated with selection cutting, this type …

This study presents an approach to improve landslide spatial prediction along the Tuyen
Quang-Ha Giang (TQ-HG) Expressway in northern Vietnam by employing advanced deep …

森林径级结构是树木生长, 竞争, 死亡等过程的综合反映, 也是估算森林生物量,
判断森林演替阶段与健康状态以及预测森林碳汇潜力的基础依据. 林学领域早期对径级结构的 …

Artificial intelligence (AI) seeks to simulate the human ability to reason, make decisions, and
solve problems. Several AI methodologies have been introduced in forestry to reduce costs …

This study compares the performance of various machine learning models for predicting
landslide susceptibility using a geospatial dataset from the Lai Chau province, Vietnam. The …