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Cited by 710

The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Challenges in adaptive management of riparian and coastal ecosystems

Open access
Walters, Carl·1997·Ecology and Society

Abstract

Many case studies in adaptive-management planning for riparian ecosystems have failed to produce useful models for policy comparison or good experimental management plans for resolving key uncertainties. Modeling efforts have been plagued by difficulties in representation of cross-scale effects (from rapid hydrologic change to long-term ecological response), lack of data on key processes that are difficult to study, and confounding of factor effects in validation data. Experimental policies have been seen as too costly or risky, particularly in relation to monitoring costs and risk to sensitive species. Research and management stakeholders have shown deplorable self-interest, seeing adaptive-policy development as a threat to existing research programs and management regimes, rather than as an opportunity for improvement. Proposals for experimental management regimes have exposed and highlighted some really fundamental conflicts in ecological values, particularly in cases in which endangered species have prospered under historical management and would be threatened by ecosystem restoration efforts. There is much potential for adaptive management in the future, if we can find ways around these barriers.

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Crossref · 10.5751/es-00026-010201

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Metadata

Authors
Walters, C.
Venue
Ecology and Society
Published
1997
Volume
1
Issue
2
ISSN
1708-3087 (ISSN-L)
OpenAlex
W4250004348
Cited by
710
References
16
FWCI
16.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Challenges in adaptive management of riparian and coastal ecosystems. https://app.cochat.ai/papers/10.5751/es-00026-010201
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Walters, C. (1997). Challenges in adaptive management of riparian and coastal ecosystems. Ecology and Society. https://doi.org/10.5751/es-00026-010201

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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