Quantitative tracking of the vegetative integrity and distinctness of forested ecological communities: a case study of plantation impacts

Abstract

Ecological land classification (ELC) is central to forestry and environmental management. Few methods exist for the statistical confirmation of the distinctness and continued integrity of the ecological character of ELC regions. Consequently, forest managers lack the tools to measure the impact of ecosystem stressors such as harvest practices and climate change. We develop a framework for tracking the distinctness and modification of vegetative communities of ELC natural regions. We base the framework on principles of numerical taxonomy using the Kolmogorov–Smirnov measure of distributional difference. We demonstrate the utility of the framework using data from a 1986 Forest Development Survey of tree species abundances on 13 508 sample plots from natural regions of the New Brunswick, Canada, ELC. Using the framework, we found vegetative communities of the ELC statistically distinct in the 1986 sampling. We also investigated the impacts of plantations on forest composition using vegetation profiles from a 1999 Forest Development Survey of planted stands. Simulated planting to 20% levels suggests that past and projected planting practices will modify the vegetative character of several natural regions on a scale comparable with interregion variation. The results demonstrate the potential of the framework to track changes to a variety of biotic communities impacted by natural and anthropogenic disturbance.