Converting simple vegetation surveys in functional dynamics

Abstract

This study assessed an integrated method for estimating the structural and functional trends of Mediterranean vegetation based on simple field characterizations. Despite considerable effort made by scientists to estimate vegetation dynamics, most methods are too complex to be applied and quantification achieved by non-specialists. We propose an alternative approach that converts simple measures such as generic vegetation cover into life forms or life traits. We used the Stochastic Dynamic Methodology, a dynamic approach based on a sequential process, to calculate the functional response to succession and anthropogenic disturbances using Raunkiaer's life form spectra. Using derived scenarios, the model was able to successfully translate functional and structural trends from simple field descriptions. The simulations demonstrate that this methodology can be used in environmental studies, particularly when specialised field botanists are not available.