Rule-based Adaptive Management
Rule-Based Adaptive Management is a formal decision-making framework within fisheries and natural resource management that belongs to the class of adaptive management strategies, distinguished by its reliance on pre-specified, quantitative rules to guide management actions in response to monitoring data, thereby enabling systematic and transparent adjustments to harvest policies in dynamic ecological systems.
15
Publications
648
Citations
60
Authors
32
Institutions
Publications per year
2017–2026
6
Parents
15
1–5 of 15
60
2
h-index
2
h-index
2
h-index
1
h-index
Commonwealth Scientific and Industrial Research Organisation, Australia
1 publications · 65 citations
1
h-index
1–5 of 60
32
University of Oxford
Oxford, United Kingdom
2 h-index
7 publications
125 citations
Munster Technological University
Cork, Ireland
1 h-index
1 publications
27 citations

University College Cork
Cork, Ireland
1 h-index
2 publications
54 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
15 citations

Hunan Institute of Engineering
Xiangtan, China
1 h-index
3 publications
336 citations

Zhejiang University
Hangzhou, China
1 h-index
1 publications
18 citations
Ocean Conservancy
Washington D.C., United States
1 h-index
3 publications
45 citations

Commonwealth Scientific and Industrial Research Organisation
Canberra, Australia
1 h-index
5 publications
325 citations
1–8 of 32
2 publications · 114 citations
2
h-index
2 publications · 83 citations
2
h-index
IJOPM · 1 publications · 13 citations
1
h-index
JOS · 1 publications · 20 citations
1
h-index
1 publications · 78 citations
1
h-index
1–5