Trans-scale information on biodiversity is fast becoming the critical for policy decision and action. Remote sensing systems addressing the structure and biophysical processes have the ability to achieve a seamless scalable information scheme. Necessity of down-scaling the coarse scale database to implementation scale is quite high under current circumstances, as practical schemes/ measures to reverse the erosion of biodiversity are needed. The nesting of information required should address the landscape heterogeneity and stakeholder coflicts arising out of socio-economic dimensions. Species level distributions can be predicted based on genetic algorithm-oriented fundamental niche mapping, enabling prioritization of areas for monitoring and conservation. Geoinformatics rendering of diversity on the principles of landscape ecology, integrated with spatialized anthropogenic demand patterns can be a potential interface to resolve conflicts in stake management.
