Using pattern-oriented modeling for revealing hidden information: a key for reconciling ecological theory and application

By T. Wiegand, Florian Jeltsch, Ilkka Hanski, Volker Grimm. 2003

378 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/58d650ec7274b8e1dcfb14966375ddd97bae17a2

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In Ecological Modeling

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In Nature and Landscape Conservation

Citations in the corpus

A physiological analogy of the niche for projecting the potential distribution of plants (2012, background): “The risk of non-identifiability can, in principle, be reduced by increasing the information content in the model structure and in the data (Wiegand et al., 2003).”
Fragmented landscapes, road mortality and patch connectivity: modelling influences on the dispersal of Eurasian lynx (2004, positive): “Thus, we inferred parameters from the low scale (intraday) by matching patterns on the higher interday scale (Wiegand et al. 2003).”
Dealing with Uncertainty in Spatially Explicit Population Models (2004, methodology): “Only recently, pattern-oriented modeling (Grimm 1994; Grimm et al. 1996; Wiegand et al. 2003) has been proposed as a framework for exploiting the available data at all steps of the modeling process: from the initial model construction to parameter estimation and to detection of deficiencies in the…”
InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change (2016, methodology): “InSTREAMGen was calibrated within the pattern-oriented framework (Wiegand et al., 2003; Grimm et al., 2005) by using 12 years (1993–2004) of population data from the Belagua River (see Sections 3.2, pages 28–29, and 6 of the TRACE document for further details).”
Representing the acquisition and use of energy by individuals in agent‐based models of animal populations (2013, background): “Comparisons of patterns with model outputs may eliminate many competing model structures and parameterizations (Wiegand et al. 2003; Wiegand, Revilla & Knauer 2004; Railsback & Grimm 2012).”
The state of plant population modelling in light of environmental change (2008, background): “…related to ideas of pattern-oriented modelling in population ecology where prior information defines the range over which parameters are varied and independent data are used to narrow down this range to a subset of parameter values for which the model provides a good fit (Wiegand et al., 2003).”
The ODD Protocol for Describing Agent-Based and Other Simulation Models: A Second Update to Improve Clarity, Replication, and Structural Realism (2020, methodology): “…variables, and scales so that the patterns could be reproduced; (b) testing “theory” for agent behaviours by showing whether alternative submodels for behaviour cause the patterns to emerge from the model; and (c) using quantitative patterns to identify useful parameter values (Wiegand et al. ).”
Assessing functional connectivity using empirical data (2008, methodology): “The basic idea of pattern-oriented modeling is to include in the model the constraining factors and the minimal set of processes that are necessary for reproducing the patterns, and to systematically compare the observed patterns with patterns produced by different modifications of the model ( Wiega”
Species associations in an old‐growth temperate forest in north‐eastern China (2010, neutral): “…with contrasting characteristics (e.g. tropical vs. temperate forest) may finally allow us to identify indicative patterns in the data to distinguish among competing theories of species coexistence (Wiegand et al. 2003; Grimm et al. 2005; McIntire & Fajardo 2009; Wiegand, Huth &Martı́nez 2009).”
Analyzing the effect of stepping stones on target patch colonisation in structured landscapes for Eurasian lynx (2011, methodology): “Individual-based and spatially explicit population models (Wiegand et al. 2004a; Kramer-Schadt et al. 2005) that are optimized using the pattern-oriented modelling strategy (Wiegand et al. 2003; Grimm et al. 2005; Kramer-Schadt et al. 2007) are ideally suited for this purpose.”
Competition among plants: Concepts, individual-based modelling approaches, and a proposal for a future research strategy (2008, methodology): “Pattern-oriented parameterization as employed by Wiegand et al. (2003, 2004), which can also be referred to as Monte-Carlo filtering, has been shown to be powerful for parameterizing grid- and individual-based models of plant and animal population dynamics.”