Complexity in Landscape Ecology (Landscape Series) by David G. Green, Nicholas Klomp

By David G. Green, Nicholas Klomp

Interactions subject. to appreciate the distributions of vegetation and animals in a panorama you want to know how they have interaction with one another, and with their atmosphere. The ensuing networks of interactions make ecosystems hugely advanced. contemporary examine on complexity and synthetic lifestyles offers many new insights approximately styles and approaches in landscapes and ecosystems. This publication presents the 1st evaluation of that paintings for basic readers. It covers such themes as connectivity, criticality, suggestions, and networks, in addition to their influence at the balance and predictability of atmosphere dynamics. With over 60 years of study event of either ecology and complexity, the authors are uniquely certified to supply a brand new viewpoint on conventional ecology. They argue that figuring out ecological complexity is essential in today’s globalized and interconnected global. winning administration of the world's ecosystems must mix types of surroundings complexity with biodiversity, environmental, geographic and socioeconomic info.

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As we shall see in later chapters, it is related to several important ideas about complexity, such as chaos (see Chapter 4). The repeating nature of fractal patterns is intimately related to basic computation, which consists of repeating operations. It also ties fractals closely to iterative processes in nature, such as cell division. Branching patterns arising during plant growth, for example, are inherently fractal in nature, as we saw in Chapter 2. 2 Fractals in nature Many natural structures have fractal properties.

Epidemic processes assume that a disturbance spreading across a landscape follows the path of least time from its starting point to any arbitrary location. The cellular automaton representation of landscapes described above readily lends itself to modelling epidemics, and other cases of percolation. Here we treat fire spread as an example of an epidemic-like process. In this case, we treat the cells in the landscape as packets of fuel. Within a fuel bed, fire spread is a percolation process, in which ignition of one patch of fuel eventually leads other nearby fuel to ignite.

The ants (black figures) wander around the landscape and pick up any loose sand particles they find. The activity of the ants transforms the initially flat landscapes (left) into a system of hills, valleys and tunnels (right) (after Poskanzer 1991). These artificial life studies of bumblebees, ants and other systems have shown that intricate forms of order can emerge from relatively simple interactions 30 CHAPTER 2 between organisms with each other and with their environment. 8 There is no need for an overall plan.

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