If you have a hammer everything looks like a nail: traditional versus participatory model building

被引:100
|
作者
Prell, Christina [1 ]
Hubacek, Klaus
Reed, Mark
Quinn, Claire
Jin, Nanlin
Holden, Joe
Burt, Tim
Kirby, Mike
Sendzimir, Jan
机构
[1] Univ Sheffield, Dept Sociol Studies, Sheffield S10 2TU, S Yorkshire, England
[2] Univ Leeds, Sch Earth & Environm, Sustainabil Res Inst, Leeds LS2 9JT, W Yorkshire, England
[3] Univ Leeds, Sch Geog, Leeds LS2 9JT, W Yorkshire, England
[4] Univ Durham, Dept Geog, Durham DH1 3LE, England
[5] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria
关键词
D O I
10.1179/030801807X211720
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The modelling of complex, dynamic and uncertain socioenvironmental systems requires close collaboration between research disciplines and stakeholders at all levels, for if such models are representations of aspects of reality, how can it be possible to build them without inputs from people who interact with the systems in reality? This paper reflects on findings of case study research involving stakeholders in knowledge creation through conceptual and formal model building to support upland water catchment management. The uncertainty, multiple scales and conflicting understandings of stakeholders inherent in natural resource management necessitate a strong focus on participatory processes in integrated modelling. This leads to the recognition that problems and solutions should be identified by the stakeholders themselves, emphasising the intersection and complementarity of lay and expert knowledge. Stakeholders in this context comprise varied groups such as land managers ( e. g. grouse moor managers and sheep farmers), water companies and water users, tourists, residents, policy-makers and researchers. Models are used at multiple stages to help formulate problems, create and compare conceptual understanding, and explore implications. This requires the involvement of stakeholders early in the problem formulation and research process to help answer the 'right' questions and provide 'relevant' outputs. This poses a number of interesting new challenges for the organisation of research. In contrast to traditional approaches of matching model components to expertise in the research team, modelling expertise must adapt to answer the questions and priorities that emerge from stakeholder engagement.
引用
收藏
页码:263 / 282
页数:20
相关论文