TY - JOUR

T1 - Recognising ecological and institutional landscapes in adaptive governance of natural resources

AU - Shkaruba, Anton

AU - Kireyeu, Viktar

N1 - Funding Information: This research was supported by grants from the CEU Budapest Foundation (Budapesti Közép-Európai Egyetem Alapítvány) and the International Visegrad Fund [contract number: 51000538 ]. The authors thank Ilona Otto for her contribution to the data collection, Katharine Farrell for inspiring discussions, Ruben Mnatsakanian, Matthijs Hisschemöller, and two anonymous reviewers for their valuable comments and suggestions. Copyright: Copyright 2013 Elsevier B.V., All rights reserved.

PY - 2013/11

Y1 - 2013/11

N2 - Spatially explicit information has become a de-facto standard for the analysis of natural systems. However, social science is much slower to pick up this approach, and with a few exceptions, governance structures are analysed out of the spatial contexts, despite spatial fit issues being recognised as central to the study of environmental institutions. Another problem arising from the limited use/low awareness of spatial analysis tools is that studies of social-ecological systems are rarely done consistently for a large area; instead they tend to rely on case studies that are often chosen for their idiosyncrasies. As a result, our knowledge of social-ecological systems is somewhat distorted. This study provides an account of quantitative and qualitative spatially-explicit analyses of a resource governance system, and in doing so offers a methodology for integrating biophysical and institutional dimensions of a social-ecological system in the evaluation of its adaptability. The focus is on forest systems, the scale is a nation (Belarus) and the unit of analysis is a square kilometre forest patch.

AB - Spatially explicit information has become a de-facto standard for the analysis of natural systems. However, social science is much slower to pick up this approach, and with a few exceptions, governance structures are analysed out of the spatial contexts, despite spatial fit issues being recognised as central to the study of environmental institutions. Another problem arising from the limited use/low awareness of spatial analysis tools is that studies of social-ecological systems are rarely done consistently for a large area; instead they tend to rely on case studies that are often chosen for their idiosyncrasies. As a result, our knowledge of social-ecological systems is somewhat distorted. This study provides an account of quantitative and qualitative spatially-explicit analyses of a resource governance system, and in doing so offers a methodology for integrating biophysical and institutional dimensions of a social-ecological system in the evaluation of its adaptability. The focus is on forest systems, the scale is a nation (Belarus) and the unit of analysis is a square kilometre forest patch.

KW - Adaptive governance

KW - Belarus

KW - Earth System Governance

KW - Forest ecosystems

KW - Socio-ecological systems

KW - Vulnerability mapping

UR - http://www.scopus.com/inward/record.url?scp=84885418897&partnerID=8YFLogxK

U2 - 10.1016/j.forpol.2012.10.004

DO - 10.1016/j.forpol.2012.10.004

M3 - Article

AN - SCOPUS:84885418897

VL - 36

SP - 87

EP - 97

JO - Forest Policy and Economics

JF - Forest Policy and Economics

SN - 1389-9341

ER -