Research on wildlife conservation strategy based on gray prediction and entropy weight method

This study provides an in-depth examination of nature reserve programs and their feasibility, focusing on the challenges posed by illegal wildlife trade. Through an extensive literature review of scientific databases such as SCI and EI, the thesis illuminates the frontiers of current conservation efforts and assesses the compatibility of nature reserve programs with stakeholders. The research includes a comprehensive case study of wetlands in Patagonia, Brazil, analyzing the correlation between illegal wildlife trade crime indicators and selected socio-economic factors. Using advanced modeling techniques, including the gray predictive model GM (1,1) and the information entropy weighting method (EWM), the paper predicts trends in endangered species such as the jaguar and assesses the effectiveness of conservation measures. In addition, an assessment improvement framework is proposed that integrates a perspective through vector autoregression (VAR) analysis to enhance the assessment of conservation strategies and stakeholder empowerment.