| Titre : | Integrated cross-realm planning: A decision-makers' perspective |
| Auteurs : | Jorge G. Alvarez-Romero, Auteur ; Vanessa M. Adams, Auteur ; Robert L. Pressey, Auteur ; Michael Douglas, Auteur ; Allan P. Dale, Auteur ; Amelie A. Auge, Auteur ; Derek Ball, Auteur ; John Childs, Auteur ; Michael Digby, Auteur ; Rebecca Dobbs, Auteur ; Niilo Gobius, Auteur ; David Hinchley, Auteur ; Ian Lancaster, Auteur ; Mirjam Maughan, Auteur ; Ian Perdrisat, Auteur |
| Type de document : | Article |
| Dans : | Biological Conservation (191 NOV 2015) |
| Article en page(s) : | 799-808 |
| Langues: | Anglais |
| Résumé : | Pursuing development and conservation goals often requires thinking and planning across terrestrial, freshwater and marine realms because many threats and social-ecological processes transcend realm boundaries. Consequently, effective conservation planning must consider the social and ecological links between realms and follow a cross-realm approach to allocate land/water uses and conservation actions to mitigate cross-realm threats and maintain cross-realm ecological processes. Cross-realm planning requires integrating multiple objectives for conservation and development, and assessing the potential co-benefits and trade-offs between them under alternative development scenarios. Despite progress in cross-realm planning theory, few fully-integrated and applied cross-realm plans exist. The gaps between research and implementation are not unique to cross-realm planning, but are accentuated by the complexity of spatial decision-making entailed. Based on a collaborative process including scientists, resource managers and policy-makers, we developed an operational framework for cross-realm planning based on up-to-date thinking in conservation science, but offering practical guidance to operationalise real-world planning. Our approach has a strong theoretical basis while addressing the visions and needs of decision-makers. We discuss the foundations and limitations of current approaches in cross-realm planning, describe key requirements to undertake this approach, and present a real-world application of our framework. (C) 2015 Elsevier Ltd. All rights reserved. |



