Abstract
Models of landscape change are important tools for understanding the forces that shape landscapes. One motivation for modeling is to examine the implications of extrapolating short-term landscape dynamics over the longer term. This extrapolation of the status quo can serve as a frame of reference against which to assess alternative management scenarios or test hypotheses. There is a spectrum of ways to consider landscape change, ranging from simple and readily interpretable, to more realistic and less tractable. The goals of this lab are to.
Cite
CITATION STYLE
Urban, D. L., & Wallin, D. O. (2017). Introduction to Markov Models. In Learning Landscape Ecology: A Practical Guide to Concepts and Techniques, Second Edition (pp. 129–142). Springer New York. https://doi.org/10.1007/978-1-4939-6374-4_8
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