Multi-scale analysis and modelling of natural resource management options

Problems related to natural resource management (NRM) are typically complex and require integration of information across several scales and disciplines. Operational concepts to support such integration are scarce. Systems analysis and modelling can be helpful but the complexity of environmental systems also requires application of appropriate upscaling methods. Simultaneous assessment and modelling of system behaviour at several levels of organisation poses particular problems. Here, we provide an introductory overview on the critical issues related to multi-scale analysis and modelling of NRM. We describe the problems related to NRM within the context of systems thinking and hierarchy theory. Methods of upscaling commonly used in natural sciences are presented and discussed for application to NRM. The use of indicators is considered as alternative where systems understanding is less developed. The need for involving stakeholders in integrated assessments is stressed. We conclude that systems understanding required to support sustainable NRM is fragmented but that available knowledge can be utilised through integrated assessment modelling of sustainability indicators developed in close interaction with stakeholders. Advancement in multi-scale analysis and modelling will require (i) a problem driven approach; (ii) appropriate upscaling methods to reduce complexity of composite models; (iii) proper methods of stakeholder involvement; and (iv) software solutions to support flexible development of composite models;

[1]  Aft,et al.  Integrated natural resource management , 1992 .

[2]  Anthony W King,et al.  Aggregating Fine-Scale Ecological Knowledge to Model Coarser-Scale Attributes of Ecosystems. , 1992, Ecological applications : a publication of the Ecological Society of America.

[3]  Dale S. Rothman,et al.  growing pains: a conceptual framework for considering integrated assessments , 1997 .

[4]  Roy F. Weston,et al.  A dynamic, hierarchical approach to understanding and managing natural economic systems , 1997 .

[5]  James W. Jones,et al.  Wheat yield functions for analysis of land-use change in China , 1998 .

[6]  Ana Iglesias,et al.  Agricultural impacts of climate change in Spain: developing tools for a spatial analysis , 2000 .

[7]  M. B. Beck,et al.  The Potential for Integrated Assessment and Modeling to Solve Environmental Problems: Vision, Capacity, and Direction , 2002 .

[8]  Ravi Prabhu,et al.  Assessing the Performance of Natural Resource Systems , 2002 .

[9]  G. Harris,et al.  Integrated Assessment and Modeling — Science for Sustainability , 2002 .

[10]  E. Rastetter,et al.  Using Mechanistic Models to Scale Ecological Processes across Space and Time , 2003 .

[11]  Martha C. Anderson,et al.  Upscaling and Downscaling—A Regional View of the Soil–Plant–Atmosphere Continuum , 2003 .

[12]  Jeffrey Sayer,et al.  Integrated Natural Resources Management: Linking Productivity, the Environment and Development , 2003 .

[13]  G. Fischer,et al.  Effects of climate change on global food production under SRES emissions and socio-economic scenarios , 2004 .

[14]  K. T. Ingram.  Integrated natural resource management: linking productivity, the environment and development, B.M. Campbell, J.A. Sayer (Eds.). CABI Publishing, Wallingford, Oxon, UK (2003), 320, Price US$60(paperback), ISBN: 0-85199-731-7 , 2005 .

[15]  S. López Ridaura,et al.  Multi-Scale Sustainability Evaluation. A framework for the derivation and quantification of indicators for natural resource management systems , 2005 .

[16]  Herman van Keulen,et al.  Resource use dynamics and interactions in the tropics: Scaling up in space and time , 2006 .

[17]  A.G.J.M. Oude Lansink,et al.  Integrated assessment of agricultural and environmental policies - towards a computerized framework for the EU (SEAMLESS-IF) , 2006 .