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Monitoring succession from space: A case study from the North Carolina Piedmont

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Abstract:

Question: Is the successional transition from pine to hardwood, which has been inferred from chronosequence plots in previous studies, validated through a time line of satellite imagery?

Location: Durham, North Carolina, USA.

Methods: We examined successional trends in a time-series of winter-summer pairs of Thematic Mapper imagery from 1986 to 2000. We calculated the normalized difference of vegetation index (NDVI) for winter and summer, as well as the difference between summer and winter NDVI (i.e., summer increment NDVI). A set of approximately 50 forest stands of known age and phenology were used to interpret patterns in winter and summer increment NDVI over successional time, and a continuum was found to exist between pine-dominance and hardwood-dominance. We fitted a series of linear regressions that modeled the change in winter and summer increment NDVI as a function of initial winter and summer increment NDVI, and additional explanatory variables.

Results: All regressions were highly significant (P < 0.0001, R2 = ca. 0.3). Predicted dynamics are in accord with successional theory, with pixels moving from evergreen dominance to deciduous dominance along a line of fairly constant summer NDVI. A large disturbance event that occurred over the course of this study, Hurricane Fran, appeared to slow rates of succession in the short term (1-3 years), but increase the rate of conversion to hardwoods over longer time spans.

Conclusions: We conclude that temporal sequences of remote sensing images provide an excellent opportunity for broad-scale monitoring of successional processes, and that continuous metrics of that change are essential to accurate monitoring.

Keywords: CHRONOSEQUENCE; CONDITIONAL AUTO-REGRESSION; DARK OBJECT SUBTRACTION; DEFORESTATION; DUKE FOREST; EDGE EFFECT; LOBLOLLY PINE; NDVI; PINUS TAEDA; SELF-THINNING; THEMATIC MAPPER

Document Type: Research Article

Publication date: 2007-09-01

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