The algorithmic beauty of seaweeds, sponges, and corals
Part of: Prusinkiewicz, P. The Virtual Laboratory. ISSN 2016-1433, more
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| Keywords |
Algorithms
Animal products > Coral
Animal products > Sponges
Aquatic organisms > Marine organisms
Biology > Organism morphology > Animal morphology
Conservation
Ecosystems
Environmental conditions
Flora > Weeds > Marine organisms > Seaweeds
Modelling
Population functions > Growth
Restoration
Taxa > Species > Sessile species
Marine/Coastal |
| Authors | | Top |
- Kaandorp, J.A., editor
- Kübler, J.E., editor
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| Abstract |
This book gives a state-of-the-art overview of modeling growth and form of marine sessile organisms - such as stromatolites, algae, and metazoans including stony corals, hydrocorals, octocorals, and sponges -, using large-scale computing techniques, scientific visualization, methods for analyzing 2D and 3D forms, and particle-based modeling techniques. It originates from the workshop on Modeling Growth and Form of Marine Sessile Organisms, held at the National Center for Ecological Analysis and Synthesis, Santa Barbara, California, August 1999. Experts from various disciplines including developmental biology, ecology, computer science, physics and mathematics, who have research interests in modeling the development of these organisms have been invited to contribute. The book describes all the steps required to develop and experimentally validate morphological models including collecting biological information and methods for specifying and comparing forms. Examples are given of how models are currently being applied to simulate growth and form of marine sessile organisms. Potential applications of growth models and morphological analyses in modern and paleo-bio-monitoring, the detection of environmental change, and the conservation and restoration of marine ecosystems and aquaculture are addressed. The combination of simulation models with laboratory and field experiments provides a powerful tool to obtain insights on how the growth forms of marine organisms emerge from physical, genetic and environmental influences. |
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