Case Study on Multiphase and Multiscale Sampling
Only a small portion of any landscape can be affordably sampled. Estimating the patterns of plant diversity in the much larger, unsampled landscape is important and challenging. For example, many national and state parks, national forests, wildlife refuges, and nature reserves require detailed information at multiple scales to evaluate the status and trends of native plant species, non-native plant species invasions, and the effects of grazing and fire on plant diversity. In this case study, the methods were based on: remote sensing of homogenous and heterogeneous vegetation types, and small areas suspected of having unique species; random selection of plot locations in each type; multi-scale sampling of plant diversity; determination of species composition overlap within and among vegetation types; and assessment of native and non-native plant species patterns in the landscape.
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