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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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LC-MS determination of catecholamines and related metabolites in red deer urine and hair

LC-MS determination of catecholamines and related metabolites in red deer urine and hair

A novel analytical methodology for the determination and extraction of catecholamines (dopamine, epinephrine and norepinephrine) and their metabolites DL-3,4-dihydroxyphenyl glycol and DL-3,4-dihydroxymandelic acid by LC-MS is here developed and validated for application to human and animal urine and hair samples. The method is based on the preliminary extraction of analytes by a magnetic multi-walled carbon nanotube poly(styrene-co-divinylbenzene) composite. This is followed by a < 9 min chromatographic separation of the target compounds in an Onyx Monolithic C18 column using a mixture of 0.01% (v/v) heptafluorobutyric acid in water and methanol at 500 µL min-1 flow rate. Detection limits within range from 0.055 to 0.093 µg mL-1, and precision values of the response and retention times of analytes were > 90%. Accuracy values comprised the range 79.5–109.5% when the analytes were extracted from deer urine samples using the selected MMWCNT-poly(STY-DVB) sorbent. This methodology was applied to real red deer urine and hair samples, the resulting concentrations within range from 0.05 to 0.5 µg mL-1for norepinephrine and from 1.0 to 44.5 µg mL-1 for its metabolite 3,4-dihydroxyphenyl glycol. Analyses of red deer hair resulted in high amounts of 3,4-dihydroxyphenyl. informacion[at]ebd.csic.es: Murtada et al (2019) LC-MS determination of catecholamines and related metabolites in red deer urine and hair extracted using magnetic multi-walled carbon nanotube poly(styrene-co-divinylbenzene) composite. J Chromatogr B https://doi.org/10.1016/j.jchromb.2019.121878


https://www.sciencedirect.com/science/article/abs/pii/S157002321931150X