Spatial conservation prioritization concerns the effective allocation of conservation action.
Despite their importance, however, ecological interactions have not yet been explicitly incorporated into conservation prioritization methods.
This approach will facilitate conservation prioritization, systematic inventory and continuous monitoring.
More generally, using species' attractiveness to motivate conservation prioritization (via public support) could lead to overlook a large amount of the essential functional diversity in ecosystems.
The Collaborative Habitat Investment Atlas (CHIA) is a participatory tool for conservation prioritization with a strong visual and dynamic capability.
The framework of spatial conservation prioritization (SCP) can be used to identify areas of outstanding ecosystem services (ES) provision, and inform the allocation of different land uses.
Ball, I. R., Possingham, H. P. & Watts, M. in Spatial Conservation Prioritization: Quantitative Methods and Computational Tools (eds Moilanen, A., Wilson, K. H. & Possingham, H. P.) 185 195 (Oxford Univ. Press, Oxford, 2009).
Moilanen, A., Kujala, H. & Leathwick, J. R. in Spatial Conservation Prioritization: Quantitative Methods and Computational Tools (eds Moilanen, A., Wilson, K. H. & Possingham, H. P.) 196 210 (Oxford Univ. Press, Oxford, 2009).
Quantifying the degree to which natural or protected areas are representative of a specified baseline provides critical information to conservation prioritization schemes.
Incorporating movement behavior into connectivity assessments can improve our understanding of dispersal and provide a mechanistic basis for conservation prioritization in heterogeneous landscapes.
The present study sought to develop a spatial conservation prioritization approach based on remote sensing and geographical information system to identify areas of a wetland which require special protective measures during waterbirds' breeding season.
