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Mathematical and Computational Challenges in Population Biology and Ecosystems ScienceMathematical and computational approaches provide powerful tools in the study of problems in population biology and ecosystems science. The subject has a rich history intertwined with the development of statistics and dynamical systems theory, but recent analytical advances, coupled with the enhanced potential of high-speed computation, have opened up new vistas and presented new challenges. Key challenges involve ways to deal with the collective dynamics of heterogeneous ensembles of individuals, and to scale from small spatial regions to large ones. The central issues-understanding how detail at one scale makes its signature felt at other scales, and how to relate phenomena across scales-cut across scientific disciplines and go to the heart of algorithmic development of approaches to high-speed computation. Examples are given from ecology, genetics, epidemiology, and immunology.
Document ID
19990019273
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Levin, Simon A.
(Princeton Univ. NJ United States)
Grenfell, Bryan
(Cambridge Univ. Cambridge, United Kingdom)
Hastings, Alan
(California Univ. Davis, CA United States)
Perelson, Alan S.
(Los Alamos National Lab. NM United States)
Date Acquired
August 19, 2013
Publication Date
January 17, 1997
Publication Information
Publication: Science
Publisher: American Association for the Advancement of Science
Volume: 275
Subject Category
Environment Pollution
Funding Number(s)
CONTRACT_GRANT: NAG5-6422
Distribution Limits
Public
Copyright
Other

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