Adaptive learning for science-based policy: the Everglades restoration

Citation
Cf. Kiker et al., Adaptive learning for science-based policy: the Everglades restoration, ECOL ECON, 37(3), 2001, pp. 403-416
Citations number
15
Categorie Soggetti
Environment/Ecology,Economics
Journal title
ECOLOGICAL ECONOMICS
ISSN journal
09218009 → ACNP
Volume
37
Issue
3
Year of publication
2001
Pages
403 - 416
Database
ISI
SICI code
0921-8009(200106)37:3<403:ALFSPT>2.0.ZU;2-0
Abstract
The Everglades ecosystem restoration is totally unprecedented. The spatial scale involves all of southern Florida and the temporal scale is decades. A lthough it is one of the most studied ecosystems in the world, much additio nal knowledge will have to be acquired for the restoration to ultimately re establish a naturally functioning ecosystem. Additionally, political suppor t will have to be maintained throughout the endeavor, and this will require a different form of understanding, a form useful to decision-makers and po litical representatives. Adaptive ecological learning embedded in an adapti ve ecosystem assessment and management structure is offered as a possible s upplement to the ongoing scientific learning. The goal of such an adaptive ecological learning approach is to facilitate more holistic understanding u seful to decision-makers and political representatives. (C) 2001 Elsevier S cience B.V. All rights reserved.