Conclusions
Quantitative measures of landscape pattern are useful for a variety of purposes. However, when analyzing or interpreting landscape metrics, one must pay close attention to the scale of the dta and the classification scheme used. Differences in scale among two data sets (e.g., between time periods or for different landscapes) can obscure or augment the actual amount of landscape change and limit the comparability of many landscape metrics. Research into the behavior of metrics must identify the relative sensitivity of various metrics to scale differences and work toward developing scaling rules for extrapolating across different scales.
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Bibliography
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Greenberg, J.D., Gergel, S.E., Turner, M.G. (2002). Understanding Landscape Metrics II. In: Gergel, S.E., Turner, M.G. (eds) Learning Landscape Ecology. Springer, New York, NY. https://doi.org/10.1007/0-387-21613-8_8
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DOI: https://doi.org/10.1007/0-387-21613-8_8
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