In the second chapter, I distinguished at least three possible approaches to understanding the landscape: the Individual-Based Perceptional Landscape (IBPL), the Individual-Based Cognitive Landscape (IBCL), and the Neutrality-Based Landscape (NBL). These three different perspectives generate processes and patterns that can be perceived moving around. If these perspectives are indicators of real processes and related patterns, we can expect to see some results in a higherrank meta-domain. The idea that the landscape is a space in which relationships and interactions happen, or is the geography of every domain, is common to all three visions. In other words, the space is the container in which complexity happens continuously. This complexity embarrasses our science which is based more on separate parts than on relationships.

According to Biocomplexity theory (Thompson et al. 2001), landscape is one of the possible dimensions or domains in which the complexity of our planet is realized.

In this chapter, I'll address the problem of the ontogenesis of the "landscape" and deal with the immediately appearing question: what type of landscape do we have to consider?

The aim of this chapter is to develop a theory about the origin of the landscape that helps us to understand the patterns of the present-time mosaics and their evolutionary dynamics. I try to describe possible mechanisms to develop a real landscape in an unknown temporal status without any presumption of discussing evolutionary dynamics and a universal goal function (Wilhelm and Bruggemann 2000).

Several studies deal with the emergent properties of the ecosystems and landscapes, and most of these try to understand the behavior of such systems (see Morowitz 2002 for a synthesis).

For every paradigm we can find empirical evidence, and this seems a general rule in the biocomplexity domain. The infinite complexity of our living and nonliving systems allows us to observe all things that we can imagine.

A. Farina, Ecology, Cognition and Landscape, Landscape Series 11,

DOI 10.1007/978-90-481-3138-9_5, © Springer Science+Business Media B.V. 2010

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