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Books > Earth & environment > The environment > Applied ecology
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Understanding Complex Ecosystem Dynamics - A Systems and Engineering Perspective (Paperback)
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Understanding Complex Ecosystem Dynamics - A Systems and Engineering Perspective (Paperback)
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Understanding Complex Ecosystem Dynamics: A Systems and Engineering
Perspective takes a fresh, interdisciplinary perspective on complex
system dynamics, beginning with a discussion of relevant systems
and engineering skills and practices, including an explanation of
the systems approach and its major elements. From this perspective,
the author formulates an ecosystem dynamics functionality-based
framework to guide ecological investigations. Next, because complex
system theory (across many subject matter areas) is crucial to the
work of this book, relevant network theory, nonlinear dynamics
theory, cellular automata theory, and roughness (fractal) theory is
covered in some detail. This material serves as an important
resource as the book proceeds. In the context of all of the
foregoing discussion and investigation, a view of the
characteristics of ecological network dynamics is constructed. This
view, in turn, is the basis for the central hypothesis of the book,
i.e., ecological networks are ever-changing networks with
propagation dynamics that are punctuated, local-to-global, and
perhaps most importantly fractal. To analyze and fully test this
hypothesis, an innovative ecological network dynamics model is
defined, designed, and developed. The modeling approach, which
seeks to emulate features of real-world ecological networks, does
not make a priori assumptions about ecological network dynamics,
but rather lets the dynamics develop as the model simulation runs.
Model analysis results corroborate the central hypothesis.
Additional important insights and principles are suggested by the
model analysis results and by the other supporting investigations
of this book - and can serve as a basis for going-forward complex
system dynamics research, not only for ecological systems but for
complex systems in general.
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