Algorithm improvements and applications for biological conservation security patterns

A novel approach to biological conservation, leveraging gradient descent algorithms and utility formulas, identifies critical areas for ecological restoration within buffer zones. The study maps landscape security patterns for Macaca mulatta in the Wulingyuan Scenic and Historic Interest Area (WSA), pinpointing four core habitats and three potential source candidates while delineating key ecological corridors to enhance connectivity between populations. By categorizing regions based on resistance levels and proximity to suitable sources, the research provides a strategic framework for conservation efforts, emphasizing high-resistance areas within buffer zones as priority restoration targets. This method offers practical significance for preserving biodiversity, exemplified by its application to the Macaca mulatta population in WSA.

Chen, J., Zhou, N., & Tao, Z. (2018). Algorithm improvements and applications for biological conservation security patterns. Biodiversity Science, 26(1), 36–43. https://doi.org/10.17520/biods.2017124