Using lichen functional diversity to assess the effects of atmospheric ammonia in Mediterranean woodlands

摘要

Atmospheric ammonia (NH_3) is one of the main drivers for ecosystem changes world-wide, including biodiversity loss. Modelling its deposition to evaluate its impact on ecosystems has been the focus of many studies. For that, universal indicators are needed to determine and compare the early effects of NH_3 across ecosystems. 2.We evaluate the effects of atmospheric NH_3 in ecosystems using lichens, which are one of the most sensitive communities at the ecosystem level. Rather than measuring total diversity, we use a functional diversity approach because this is potentially a more universal tool. 3.We evaluated the spatial and temporal patterns of atmospheric NH_3 concentrations ([NH_3]_(atm)) emitted from a point-source over a 1-year period in a cork oak Mediterranean woodland. We observed a temporal pattern of [NH_3]_(atm), with maximum concentrations during autumn. 4.The distribution of lichen species was c. 90% explained by [NH_3]_(atm). The tolerance of lichen species to atmospheric NH_3, based on expert knowledge from literature, was tested for the first time against direct measurements of atmospheric NH_3. Most species were well classified, with the exception of Lecanora albella and Chrysothrix candelaris, which were more tolerant than expected. Our updated lichen classification can be used to establish lichen functional groups that respond to atmospheric NH_3, and these can be used in other Mediterranean countries. 5.Increasing [NH_3]_(atm) led to a complete replacement of oligotrophic by nitrophytic species within 65m of the NH_3 source. The geostatistical analysis of functional diversity variables yielded a spatial model with low non-spatial variance, indicating that these variables can cope robustly with high spatial variation in NH_3. 6.Synthesis and applications. Our results support the use of functional diversity variables, such as a lichen diversity value, as accurate and robust indicators of the effects of atmospheric NH_3 on ecosystems. The spatial modelling of these indicators can provide information with high spatial resolution about the effects of atmospheric NH_3 around point- and diffuse sources. As this methodology is based on functional groups, it can be applied to monitor both the impact of atmospheric NH_3 and the success of mitigation strategies.