Applications of spatial data structures: Computer graphics, image processing, and GIS
Applications of spatial data structures: Computer graphics, image processing, and GIS
A scalable simulator for forest dynamics
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
A scalable simulator for forest dynamics
SCG '04 Proceedings of the twentieth annual symposium on Computational geometry
Exploiting temporal coherence in forest dynamics simulation
Proceedings of the twenty-seventh annual symposium on Computational geometry
Model-Driven dynamic control of embedded wireless sensor networks
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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Models of forest ecosystems are needed to understand how climate and land-use change can impact biodiversity. In this paper we describe an ecological dispersal model developed for the specific case of predicting seed dispersal by trees on a landscape for use in a forest simulation model. We present efficient approximation algorithms for computing seed dispersal. These algorithms allow us to simulate large landscapes for long periods of time. We also present experimental results that (1) quantify the inherent uncertainty in the dispersal model and (2) describe the variation of the approximation error as a function of the approximation parameters. Based on these experiments, we provide guidelines for choosing the right approximation parameters, for a given model simulation.