Scaling in Integrated Assessment
D.S. Rothman, J. Rotmans
CRC Press, Aug 9, 2005 - Technology & Engineering - 374 pages
A collection of papers prepared for the European Forum on Integrated Environmental Assessment's (EFIEA) Policy Workshop on Scaling Issues in Integrated Assessment, held from 12-19 July 2000.
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Diverging and Converging Issues in the Physical and Social Sciences
Lessons from Ten Years with ICAM
5 Scaling Issues in the Social Sciences
a Matter of Scale?
7 Scales in Economic Theory
from Points Upward and from Global Models Downwards
Bridging Five Orders of Magnitude Scale Gaps in Climatic and Ecological Studies
10 The Syndromes Approach to Scaling Describing Global Change on an Intermediate Functional Scale
11 Polycentric Integrated Assessment
12 Emergent Properties of Scale in Global Environmental Modeling Are There Any?
the Challenge for Integrated Assessment
Problem or Challenge?
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adaptation agents aggregation agricultural analysis applied approach behavior cellular automata climate change impacts climate change scenarios climate models Climatic Variability complex concept context crop model decision different scales dimension downscaling dynamics Easterling ecological Ecological Economics economic ecosystems emergent properties emissions environment Environmental Change Environmental Change Institute example factors Figure functional scale geographic Global Change global climate change global climate models greenhouse gas grid Hazardous Functional holarchy holon household human hurricane Mitch IA-models implies important individual input institutional integrated assessment modeling interactions IPCC land large-scale markets methods micro multi-scale natural observed perspective possible predict problem processes production qualitative regional scale relationships relevant represent representation returns to scale Rotmans SAHEL scale issues scale levels scientific simulation social sciences soil space spatial scale specific stakeholders statistical structure sustainability Syndrome temperature temporal scale uncertainty understanding University University of Oxford valid yield