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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/4391 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/4391 http://eprints.org/relation/isCoversheetVersionOf https://pure.iiasa.ac.at/id/document/4391 archive 351 disk0/00/00/52/65 2016-01-15 02:09:04 2021-08-27 17:16:07 2016-01-15 02:09:04 monograph show 3 Dieckmann U. 1668 0000-0001-7089-0393 Herben T. Law R. pub iis_ecl iis_mod iis_sys prog_adn Ecological systems evolve in space and time. Until recently, however, research in ecology separately has focused either on the spatial domain (patterns) or on the temporal domain (processes). In this paper we describe novel approaches for progressing towards an integration of pattern and process, a goal long called for in ecology. First, we present a sequence of alternative stochastic models of spatially extended processes. Second, we advance two new methods for the estimation, or calibration, of model parameters from spatio-temporal processes observed in the field. Third, we provide tools for reducing the complexity of spatially extended ecological processes to manageable dynamical systems. Steps and techniques are illustrated in the context of data from a montane grassland community from the Czech Republic. 1997-08 published IR-97-026 IR-97-026 66 public interim_report IIASA, Laxenburg, Austria 30 FALSE info:eu-repo/semantics/book