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Predictors of pollinator service

Pollinator service is essential for successful sexual reproduction and long-term population persistence of animal-pollinated plants, and innumerable studies have shown that insufficient service by pollinators results in impaired sexual reproduction ("pollen limitation"). Studies directly addressing the predictors of variation in pollinator service across species or habitats remain comparatively scarce, which limits our understanding of the primary causes of natural variation in pollen limitation. This paper evaluates the importance of pollination-related features, evolutionary history and environment as predictors of pollinator service in a large sample of plant species from undisturbed montane habitats in southeastern Spain. Quantitative data on pollinator visitation were obtained for 191 insect-pollinated species belonging to 142 genera in 43 families, and the predictive values of simple floral traits (perianth type, class of pollinator visitation unit, and visitation unit dry mass), phylogeny, and habitat type were assessed. A total of 24,866 pollinator censuses accounting for 5,414,856 flower-min of observation were conducted on 510 different dates. Flowering patch and single flower visitation probabilities by all pollinators combined were significantly predicted by the combined effects of perianth type (open vs. restricted), class of visitation unit (single flower vs. flower packet), mass of visitation unit, phylogenetic relationships, and habitat type. Pollinator composition at insect order level varied extensively among plant species, largely reflecting the contrasting visitation responses of Coleoptera (beetles), Diptera (flies), Hymenoptera (bees) and Lepidoptera (butterflies) to variation in floral traits. For example, Lepidoptera responded positively to increasing mass of visitation unit in species with flowers packets, but negatively in species with single flowers and restrictive perianths. Pollinator composition had a strong phylogenetic component, and the distribution of phylogenetic autocorrelation hotspots of visitation rates across the plant phylogeny differed widely among insect orders. Habitat type was a key predictor of pollinator composition, as major insect orders exhibited decoupled variation across habitat types in visitation rates. Comprehensive pollinator sampling of a regional plant community has shown that pollinator visitation and composition can be parsimoniously predicted by a combination of simple floral features, habitat type and evolutionary history. Ambitious community-level studies can help to formulate novel hypotheses and questions, shed fresh light on long-standing controversies in pollination research (e.g., "pollination syndromes"), and identify methodological cautions that should be considered in pollination community studies dealing with small, phylogenetically-biased plant species samples. informacion[at]ebd.csic.es: Herrera (2019) Flower traits, habitat, and phylogeny as predictors of pollinator service: a plant community perspective. Ecol Monographs DOI 10.1002/ecm.1402


https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecm.1402
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A risk assessment in Spain reveals that 30 invasive plant species are available for sale

A risk assessment in Spain reveals that 30 invasive plant species are available for sale

Horticulture is one of the main pathways of deliberate introduction of non-native plants, some of which might become invasive. Of the 914 commercial ornamental outdoor plant species sold in Spain, 700 (77%) are non-native (archaeophytes excluded) marketed species. These species were classified into six different lists based on their invasion status in Spain and elsewhere, their climatic suitability in Spain, and their potential environmental and socioeconomic impacts. Sufficient information for 270 species was available. A Priority List of eight regulated invasive species that were still available on the market is provided. Additionally an Attention List with 68 non-regulated invasive and potentially invasive species that might cause various impacts was established. To prioritise the species within the Attention List, the risk of invasion of these species was further assessed by using an adaptation of the Australian WRA protocol and the level of societal interest estimated from values of the Google Trends tool. Three other lists were proposed: A Green List of seven species with probably no potential to become invasive, a Watch List with 27 potentially invasive species with few potential impacts, and an Uncertainty List with 161 species of known status but with insufficient information to include them in any of the previous lists. For 430 (61%) of the marketed non-native plant species no sufficient information was available, which were compiled into a Data Deficient List. These findings of prohibited species for sale highlight the need for stronger enforcement of the regulations on invasive plant species in Spain. In addition, our results highlight the need for additional information on potential impacts and climate suitability of horticultural plants being sold in Spain, as insufficient information could be found to assess the invasion risk for a majority of species. informacion[at]ebd.csic.es: Bayon & Vilà (2019) Horizon scanning to identify invasion risk of ornamental plants marketed in Spain. NeoBiota 52: 47–86 (2019). DOI: 10.3897/neobiota.52.38113


https://neobiota.pensoft.net/article/38113/