Title of article :
implications of complexity for integrated resources management*
Author/Authors :
C. Pahl-Wostl*، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2007
Abstract :
Integrated environmental resources management is a purposeful activity with the goal to maintain and improve the state of an environmental
resource affected by human activities. In many cases different goals are in conflict and the notion ‘‘integrated’’ clearly indicates that resources
management should be approached from a broad perspective taking all potential trade-offs and different scales in space and time into account.
However, we are yet far from putting into practice integrated resources management fully taking into account the complexity of human-technology-
environment systems. The tradition of resources management and of dealing with environmental problems is characterized by a command
and control approach. The increasing awareness for the complexity of environmental problems and of human-technology-environment systems
has triggered the development of new management approaches. The paper discusses the importance of focusing on the transition to new management
paradigms based on the insight that the systems to be managed are complex adaptive systems. It provides arguments for the role of
social learning processes and the need to develop methods combining approaches from hard and soft systems analysis. Soft systems analysis
focuses on the importance of subjective perceptions and socially constructed reality. Soft systems methods and group model building techniques
are quite common in management science where the prime target of management has always been the social system. Resources management is
still quite slow to take up such innovations that should follow as a logical consequence of adopting an integrated management approach. Integrated
water resources management is used as example to provide evidence for the need to implement participatory and adaptive management
approaches that are able to cope with increasing uncertainties arising from fast changing socio-economic conditions and global and climate
change. Promising developments and future research directions are discussed. The paper concludes with pointing out the need for changes
in the scientific community to improve the conditions for interdisciplinary, system-oriented and trans-disciplinary research.
Keywords :
Complex adaptive systems , Social learning , Complexity , mental models , Soft systems analysis , Adaptive management , Group model building
Journal title :
Environmental Modelling and Software
Journal title :
Environmental Modelling and Software