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Updated: Jan 28, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
Dynamic models of socio-ecological systems predict catastrophic shifts following unsustainable development
1University of Padova, Dept. IMAGE, Italy.
Abstract:
New interdisciplinary tools for sustainable development are expected to bridge across disciplines, to guide political decisions, and raise public awareness. A minimal socio-ecological model has been formulated to describe the co-evolution of economy, environment and society. The dynamics of wealth and population is simulated under two contrasting assumptions. The first is that the anthropogenic development produces negligible changes of the environmental conditions (blind land management). The second is that population and environmental resources change according to a predator/breeder-prey dynamic at comparable time scales (conscious land management). The model predicts catastrophic shift to migration and land abandonment or patterns of sustainable development, depending on the initial state of the socio-ecological system and investment in sustainable development actions. Man determines the fate of the system acting as predator or breeder of environmental resources. The evolution, fate and the risk of a catastrophic shift of the socio-ecological system are discussed.
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Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

