A Classification Framework for Running Adaptive Management Rapids

Benson, M. H., R. R. Morrison and M. C. Stone (2013). “A Classification Framework for Running Adaptive Management Rapids.” Ecology and Society 18 (3):30

11 Pages Posted: 23 Feb 2013 Last revised: 6 Jun 2014

See all articles by Melinda Benson

Melinda Benson

affiliation not provided to SSRN

Ryan Morrison

University of New Mexico

Mark Stone

University of New Mexico

Date Written: February 22, 2013

Abstract

While adaptive management (AM) is becoming a preferred natural resource management approach, the conditions necessary to engage in AM are not always present. In order for AM to work, there must be an ability to engage in experimentation and then incorporate what is learned. Just as few rivers are unequivocally either “runnable” or “unrunnable” by a whitewater boater, successful AM depends on a number of factors, including legal frameworks and requirements, resource allocation regimes and existing infrastructure. We provide a classification framework for assessing the physical and institutional capacity necessary for AM using the international classification for whitewater. We then apply this classification framework to the design of an AM program for New Mexico’s Rio Chama. As the case study illustrates, the classification system facilitates learning and provides an engaging way of thinking through problems and involving stakeholders. It can also help keep perceived limitations from becoming fixed reality, and it can be used to develop the conceptual model on which AM is based. The classification system allows practitioners to assess whether AM is possible by providing a way of thinking though the issues involved.

Keywords: adaptive management, conceptual model, river restoration, Rio Chama

Suggested Citation

Benson, Melinda and Morrison, Ryan and Stone, Mark, A Classification Framework for Running Adaptive Management Rapids (February 22, 2013). Benson, M. H., R. R. Morrison and M. C. Stone (2013). “A Classification Framework for Running Adaptive Management Rapids.” Ecology and Society 18 (3):30 . Available at SSRN: https://ssrn.com/abstract=2222924 or http://dx.doi.org/10.2139/ssrn.2222924

Melinda Benson (Contact Author)

affiliation not provided to SSRN

Ryan Morrison

University of New Mexico ( email )

107 Humanitites Building
Albuquerque, NM 87131-1221
United States

Mark Stone

University of New Mexico ( email )

107 Humanitites Building
Albuquerque, NM 87131-1221
United States

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