Complexity in Landscape EcologySpringer Science & Business Media, 2006 M02 17 - 208 páginas Interactions matter. To understand the distributions of plants and animals in a landscape you need to understand how they interact with each other, and with their environment. The resulting networks of interactions make ecosystems highly complex. Recent research on complexity and artificial life provides many new insights about patterns and processes in landscapes and ecosystems. This book provides the first overview of that work for general readers. It covers such topics as connectivity, criticality, feedback, and networks, as well as their impact on the stability and predictability of ecosystem dynamics. With over 60 years of research experience of both ecology and complexity, the authors are uniquely qualified to provide a new perspective on traditional ecology. They argue that understanding ecological complexity is crucial in today’s globalized and interconnected world. Successful management of the world's ecosystems needs to combine models of ecosystem complexity with biodiversity, environmental, geographic and socioeconomic information. |
Otras ediciones - Ver todas
Complexity in Landscape Ecology David G. Green,Nicholas Klomp,Glyn Rimmington,Suzanne Sadedin Sin vista previa disponible - 2009 |
Complexity in Landscape Ecology David G. Green,Nicholas Klomp,Glyn Rimmington,Suzanne Sadedin Sin vista previa disponible - 2009 |
Términos y frases comunes
Alife attractor Australia automata become behaviour biodiversity biological Biosphere cells cellular automaton Chapter climate change communities competition complex systems connectivity conservation critical Daisyworld distribution diversity ecological ecologists ecosystems edges effect emerge environment environmental gradient equilibrium evolutionary example feedback loops Figure fire food webs forest fractal fractal dimension fuel Gaia hypothesis genes genetic global globalisation graph Green grow growth habitat Hardy-Weinberg Law human idea important increases individuals instance interactions island isolated L-system landscape ecology limit cycles look mass extinctions metapopulation modularity natural nodes number of species occur organisation patches patterns phase change plants and animals pollen population positive feedback predict problem processes punctuated equilibrium questions rabbits rainforest random reef region represent result scale Scale-free networks scenarios simple simulation models soil spatial spread stability starfish studies subpopulations temperature theory trees understand variations virtual