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

By David G. Green, Nicholas Klomp

Interactions subject. to appreciate the distributions of crops 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 complicated. fresh study on complexity and synthetic lifestyles offers many new insights approximately styles and tactics in landscapes and ecosystems. This e-book presents the 1st assessment of that paintings for normal readers. It covers such subject matters as connectivity, criticality, suggestions, and networks, in addition to their impression at the balance and predictability of environment dynamics. With over 60 years of study event of either ecology and complexity, the authors are uniquely certified to supply a brand new point of view on conventional ecology. They argue that figuring out ecological complexity is essential in today’s globalized and interconnected international. winning administration of the world's ecosystems must mix versions of environment complexity with biodiversity, environmental, geographic and socioeconomic details.

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There are thousands of them: reminders of the distant Ice Age, they break up the landscape and have immense influence on the ecology of those regions. Likewise, if you fly over the scrublands of Western Australia, you see striations in the vegetation, which are the results of fires burning parallel to the sand dunes. To understand patterns such as these, we can model the processes that lead to them. One important class of processes is percolation. Percolation involves 40 CHAPTER 3 movement of a process through a medium.

The most important sources of connectivity for plants and animals are associated with landscapes. g. g. dispersal or fire). For instance, a tree growing within a forest can transmit and receive pollen from any other tree that lies within the range of bees or other pollinating vectors. Pollination provides a connection among the trees. We need to make clear several basic aspects of connectivity. First, it is important to realise that a landscape may be connected with respect to one process, but not with respect to another.

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. Most models of fire spread tacitly assume that the fuel bed is both continuous and homogeneous: there is plenty of fuel and it is spread evenly everywhere.

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