A fuzzy logic model to predict coral reef development under nutrient and sediment stress. (Curacao, Netherlands, Antilles)

Article Abstract:

An effective new fuzzy logic approach in coral reef modeling has been tested. The coral reef model predicts changes in diversity and coral cover under anthropogenic stress. The stress involves greater nutrient availability and more sedimentation. The model is within an integrated coastal zone managment model. Coral reefs are very complex systems which have mostly nonlinear relationships between abiotic and biotic components. The model reflects knowledge of fringing reefs of Curacao, Netherlands Antilles, and has seven input variables, each divided into three triangular fuzzy sets that reflect high, medium and low values. The model shows clearly how increases in sediment and nutrient inputs affect coral cover and diversity.

Methods, Analysis, Usage, Sediment control, Biology, Biological models, Coral reef conservation, Set theory, Coral reef ecology, Coral reef ecosystems, Fuzzy sets, Netherlands Antilles

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An alternative view on estimating subsistence consumption of coral reef fishes in the US Virgin Islands

Article Abstract:

This article examines the inconsistent methodology and skewed data in previous conservation reports estimating subsistence consumption of coral reef fishes in the US Virgin Islands. Topics discussed include the overestimation of local fish consumption rates, as well as other factors such as quantity and composition of the catch that may have affected the study results.

U.S. Virgin Islands, Statistical Data Included, Research, Natural history, Fishing, Fishing (Recreation), Fish populations, United States Virgin Islands

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Expert systems, fuzzy logic, and coral reff development under environmental stress

Article Abstract:

An expert system for organizing knowledge regarding reef development under environmental stress is presented. Expert systems need to be distinguished from conventional ecological models.

Ecology

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