Learning in Adaptive Management

Insights from Published Practice

Datos Bibliográficos

ID4941792
AutoresChristo Fabricius (0000-0003-2223-5671, Nelson Mandela University), Georgina Cundill (0000-0002-9024-8143, Rhodes University)
Año2014
Volumen19
Número1
Fecha de publicación2014-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaConservation Ecology (JOURNAL)
Identificadores de la revistaISSN: 1195-5449 • E-ISSN: 1708-3087
EditorialResilience Alliance (PUBLISHER • CA)
DOI10.5751/es-06263-190129
OpenAlexW2315322579
IdiomaEN
Citas recibidas25
Referencias citadas23

Adaptive management is often advocated as a solution to understanding and managing complexity in social-ecological systems. Given the centrality of learning in adaptive management, it remains unclear how learning in adaptive management is understood to occur, who learns, what they learn about, and how they learn. We conducted a systematic review using the Thomson Reuters Web of Science, and searched specifically for examples of the practical implementation of adaptive management between 2011 and 2013, i.e., excluding articles that suggested frameworks, models, or recommendations for future action. This provided a subset of 22 papers that were analyzed using five elements: the aims of adaptive management as stated in each paper; the reported achievements of adaptive management; what was learned; who learned; and how they learned. Our results indicate that, although most published adaptive management initiatives aimed at improvements in biological conservation or ecosystem management, scholars of adaptive management tend to report on learning more about governance and about learning, than about ecosystems or biological conservation. Whereas almost all the papers (91%) listed improvements in biological conservation and ecosystem management as aims, 59% reported these as achievements. Whereas only 27% listed improved governance as an aim, 73% mentioned this as an achievement. Conservation scientists and academics reporting on adaptive management tend to learn among themselves, and very seldom (18%) with external stakeholders. Adaptive ecosystem management is dominated by direct assessment and single-loop learning aimed at improving existing practices (86%), with about 50% engaged in double-loop learning and a similar number in deutero-learning (learning about learning). Some adaptive managers (36%) combined double-and single-loop learning and the majority of these (6/8) reported on conservation achievements. A possible explanation for these findings is that adaptive management is an evolutionary process and in most instances is still in an early pioneering stage, possibly held back by participants' capacity for learning. The constraint of learning capacity may also explain why so few adaptive management initiatives reported on learning with societal stakeholders

Adaptive Management · Biology · Climate change · Climate change adaptation · Data science · Environmental planning · Environmental resource management · Geography · Computer Science · Environmental Conservation and Management · Environmental Science · Forest Management and Policy · Sustainability and Climate Change Governance · Ecology