Forest fragmentation assessment using field-based sampling data from forest inventories

Forest fragmentation has a relevant impact on biodiversity. An interesting alternative to estimate these indices is use sampling data. This study aims aggregation index (AI) and the degree of clumping forested landscape based AI. The assessment was conducted using different point distances, inventory regions cardinal directions. For this purpose, dataset from one five-year periods (2007–2011) Swedish National Inventory (NFI) used. estimation AI field-based can give us general picture current status forest landscape. results also show that estimated distance dependent function. corresponding variance smaller for longer distances. obtained indicate depends both sample size pair Estimated showed values in To compare two or given region over time, should be main advantage applied procedure range produced rather than single number. Furthermore, inventory, are more reliable, because works implicitly with definition only.