Publications by authors named "Giovanni Lumia"
J Environ Manage
February 2024
Article Synopsis
- Ecological connectivity models are valuable tools for understanding how organisms move and interact within environments impacted by climate change and habitat loss, but their effectiveness in predicting actual movement patterns is still not fully understood.
- This study compares various connectivity models, specifically looking at how their predictions align with simulated animal movements, finding that the choice of model significantly affects prediction accuracy.
- The resistant kernels model stood out as the most reliable method, and the research emphasizes the agent-based approach as an effective analytical framework for future connectivity studies, hinting at the need for research across different species to enhance understanding of ecological connectivity.
