Short-Term and Long-Term Effects of Extreme Weather Events on Wildlife Survival Strategies and Behavioral Adaptations

Global climate change exacerbates extreme weather events, posing multi-dimensional challenges to the survival of wildlife. This study systematically reveals the behavioral adaptation mechanisms and evolutionary trajectories of species in response to climate stress by constructing a multi-scale analysis framework. By integrating relevant data such as satellite tracking, biotelemetry, and metagenomic technology, and using a logistic regression algorithm to fit the model, population dynamics can be effectively predicted. It was found that animals buffer climate shocks through multi-dimensional strategies such as behavioral adjustment (such as reverse migration), physiological regulation (such as metabolic rate optimization), and microbiome reconstruction. Studies have confirmed that short-term adaptation depends on individual immediate responses, while long-term evolution involves changes in gene frequencies and ecosystem cascade effects. This analysis enables the establishment of a real-time assessment system to achieve minute-level ecological early warnings, provides theoretical support for optimizing protected area networks and formulating climate resilience management plans, and supports promoting wildlife protection.