G2TT
来源类型Monograph (IIASA Interim Report)
规范类型报告
Spatio-Temporal Processes in Plant Communities.
Dieckmann U; Herben T; Law R
发表日期1997
出版者IIASA, Laxenburg, Austria: IR-97-026
出版年1997
语种英语
摘要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.
主题Adaptive Dynamics Network (ADN)
URLhttp://pure.iiasa.ac.at/id/eprint/5265/
来源智库International Institute for Applied Systems Analysis (Austria)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/124716
推荐引用方式
GB/T 7714
Dieckmann U,Herben T,Law R. Spatio-Temporal Processes in Plant Communities.. 1997.
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