Several abiotic and biotic factors were investigated as possible predictors of local species richness in two sub-alpine grasslands of Jenna and Belles Mountains in Northern Greece.For species richness modelling a hier...Several abiotic and biotic factors were investigated as possible predictors of local species richness in two sub-alpine grasslands of Jenna and Belles Mountains in Northern Greece.For species richness modelling a hierarchical modelling framework based on generalized additive models was adopted.The two sub-alpine grasslands differed in aspect,altitude and soil parent material(volcanic origin,mostly trachyte,and andesite(TA) for Jenna and metamorphic rocks,mostly gneiss(G) for Belles).12 fenced squared plots,16 m2 each,were used per grassland,where soil properties,herbage production,species presence and cover of grasses,legumes and forbs were estimated.Mean herbage production was significantly affected by slope and altitude,soil K content and floristic composition as expressed by an ordination axis.Soil p H,floristic composition and average herbage production were significant predictors of forbs and total species richness.For the former,soil N content and for the latter the occurrence of Agrostis capillaris,were also included as significant terms in the predictive model.Thepredictors for grasses species richness were N content,having a positive effect,and average herbage production.In all cases higher species richness was predicted for intermediate values of average herbage production.Differential responses were found between forbs and grasses.The predictors of their species richness were different while for the case of the common predictor(N) the responses of the two groups were also different(grasses species numbers increase and forbs species numbers decreased with increasing N).Maximum species richness of grasses was observed at relatively low production levels while forbs species richness maximized at relatively high production levels.展开更多
Background:There is a long-term trend towards the abandonment of agro-pastoral activities in the mountain areas of Europe:the following encroachment process of semi-natural grasslands by shrubs is one of the main seve...Background:There is a long-term trend towards the abandonment of agro-pastoral activities in the mountain areas of Europe:the following encroachment process of semi-natural grasslands by shrubs is one of the main severe threats to the conservation of biodiversity in mountain environments.To better understand the impact of land abandonment,we analysed the reliability of plant functional groups,ant traits,and ant functional groups as indicators of land use changes.We carried out the research in Italy at four sites along a latitudinal/altitudinal gradient in three biogeo-graphic regions(Mediterranean,Continental,Alpine).We identified three stages of a chronosequence at each site as representative of the plant succession in response to pastoral land-use abandonment.Results:As expected,both the plant and ant assemblages considerably differed across sites at the species level and,within each site,among the three stages.This trend was found also using ant traits,functional groups of ants,and plant functional groups.Ant and plant communities were related in terms of composition and functionality.Harvester ants and ants with collective foraging strategy were associated with annual legumes and grasses(Therophytes);ants with a strictly individual foraging strategy with Phanerophytes.Ant traits and plant functional groups indicated significant differences among the three stages of the chronosequence.However,ant functional groups could not discriminate between the stages represented by secondary grasslands currently grazed and shrub-encroached grasslands ungrazed.Conclusion:Despite some limitations of ant functional groups in explaining the succession stages of land abandonment,our results suggest that ants are a good surrogate taxon and might be used as bioindicators of land-use changes and ecosystem functioning.Furthermore,our findings indicate that the functional group approach should be applied to other European ecosystems.Finally,reducing the taxonomic complexity could contribute to developing predictive models to detect early environmental changes and biodiversity loss in mountain habitats.展开更多
基金The Greek Ministry of Agriculture is gratefully acknowledged for their support
文摘Several abiotic and biotic factors were investigated as possible predictors of local species richness in two sub-alpine grasslands of Jenna and Belles Mountains in Northern Greece.For species richness modelling a hierarchical modelling framework based on generalized additive models was adopted.The two sub-alpine grasslands differed in aspect,altitude and soil parent material(volcanic origin,mostly trachyte,and andesite(TA) for Jenna and metamorphic rocks,mostly gneiss(G) for Belles).12 fenced squared plots,16 m2 each,were used per grassland,where soil properties,herbage production,species presence and cover of grasses,legumes and forbs were estimated.Mean herbage production was significantly affected by slope and altitude,soil K content and floristic composition as expressed by an ordination axis.Soil p H,floristic composition and average herbage production were significant predictors of forbs and total species richness.For the former,soil N content and for the latter the occurrence of Agrostis capillaris,were also included as significant terms in the predictive model.Thepredictors for grasses species richness were N content,having a positive effect,and average herbage production.In all cases higher species richness was predicted for intermediate values of average herbage production.Differential responses were found between forbs and grasses.The predictors of their species richness were different while for the case of the common predictor(N) the responses of the two groups were also different(grasses species numbers increase and forbs species numbers decreased with increasing N).Maximum species richness of grasses was observed at relatively low production levels while forbs species richness maximized at relatively high production levels.
文摘Background:There is a long-term trend towards the abandonment of agro-pastoral activities in the mountain areas of Europe:the following encroachment process of semi-natural grasslands by shrubs is one of the main severe threats to the conservation of biodiversity in mountain environments.To better understand the impact of land abandonment,we analysed the reliability of plant functional groups,ant traits,and ant functional groups as indicators of land use changes.We carried out the research in Italy at four sites along a latitudinal/altitudinal gradient in three biogeo-graphic regions(Mediterranean,Continental,Alpine).We identified three stages of a chronosequence at each site as representative of the plant succession in response to pastoral land-use abandonment.Results:As expected,both the plant and ant assemblages considerably differed across sites at the species level and,within each site,among the three stages.This trend was found also using ant traits,functional groups of ants,and plant functional groups.Ant and plant communities were related in terms of composition and functionality.Harvester ants and ants with collective foraging strategy were associated with annual legumes and grasses(Therophytes);ants with a strictly individual foraging strategy with Phanerophytes.Ant traits and plant functional groups indicated significant differences among the three stages of the chronosequence.However,ant functional groups could not discriminate between the stages represented by secondary grasslands currently grazed and shrub-encroached grasslands ungrazed.Conclusion:Despite some limitations of ant functional groups in explaining the succession stages of land abandonment,our results suggest that ants are a good surrogate taxon and might be used as bioindicators of land-use changes and ecosystem functioning.Furthermore,our findings indicate that the functional group approach should be applied to other European ecosystems.Finally,reducing the taxonomic complexity could contribute to developing predictive models to detect early environmental changes and biodiversity loss in mountain habitats.