Spatial approaches to ecological population monitoring and management
Tuesday, June 15 at 05:45pm (PDT)Wednesday, June 16 at 01:45am (BST)Wednesday, June 16 09:45am (KST)
Tae-Soo Chon (Pusan National University/Ecology and Future Research Association, Republic of Korea), Fugo Takasu (Nara Women’s University, Japan)
Population stability is at stake in ecosystems due to abrupt establishment or unexpected extinction of species, resulting from anthropogenic disturbances (e.g., industrial development, climate change) directly and indirectly. In ecology population dispersal phases of entering, establishment and proliferation/extinction are presented on spatial domain through individual life processes including reproduction, death, movement and environmental adaptation. Consequently, the degree of internal and external constraints would be enormous during the dispersal processes: objective methods are required for expressing population dispersal effectively. In the symposium we focus on how methodologies could be applied to addressing complex spatial phases for monitoring and management either locally or globally. In small scale stochastic processes on spatial habitat change will be dealt with, utilizing models on behavior state determination (e.g., Markov chain, Hidden Markov model, machine learning). In large scale the causality of population increase/decrease will be addressed in spatio-temporal domain using spatially explicit models, individual based models, network models and other data-driven models to obtain information on monitoring, risk factor analysis, prognosis and management in population dispersal. The target populations for model applications include terrestrial/aquatic species and disease. The participants could join the session and share information on model developments and practical applications.