ArticleAnnals of botany2015
Predicting species' tolerance to salinity and alkalinity using distribution data and geochemical modelling: a case study using Australian grasses.
Article in Annals of botany, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed.
- Multivariate statistical analysis of bioavailability of heavy metals and mineral characterization in selected species of coastal flora.Scientific reports · 2024Article
- Plant families exhibit unique geographic trends in C4 richness and cover in Australia.PloS one · 2022Article
- Prediction of temperature tolerance iniScience · 2021Article
- Pharmaceutical resource discovery from traditional medicinal plants: Pharmacophylogeny and pharmacophylogenomics.Chinese herbal medicines · 2020Review
- Prediction of Lime Tolerance inFrontiers in plant science · 2018Article
- Phytostabilization of mine tailings using compost-assisted direct planting: Translating greenhouse results to the field.The Science of the total environment · 2016Article
- Biodiversity analysis in the digital era.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Review
- Salt tolerance is evolutionarily labile in a diverse set of angiosperm families.BMC evolutionary biology · 2015Article
- Plant salt tolerance: adaptations in halophytes.Annals of botany · 2015Article
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5 authors.
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Abstract
BACKGROUND AND
aimsSalt tolerance has evolved many times independently in different plant groups. One possible explanation for this pattern is that it builds upon a general suite of stress-tolerance traits. If this is the case, then we might expect a correlation between salt tolerance and other tolerances to different environmental stresses. This association has been hypothesized for salt and alkalinity tolerance. However, a major limitation in investigating large-scale patterns of these tolerances is that lists of known tolerant species are incomplete. This study explores whether species' salt and alkalinity tolerance can be predicted using geochemical modelling for Australian grasses. The correlation between taxa found in conditions of high predicted salinity and alkalinity is then assessed.
methodsExtensive occurrence data for Australian grasses is used together with geochemical modelling to predict values of pH and electrical conductivity to which species are exposed in their natural distributions. Using parametric and phylogeny-corrected tests, the geochemical predictions are evaluated using a list of known halophytes as a control, and it is determined whether taxa that occur in conditions of high predicted salinity are also found in conditions of high predicted alkalinity. KEY
resultsIt is shown that genera containing known halophytes have higher predicted salinity conditions than those not containing known halophytes. Additionally, taxa occurring in high predicted salinity tend to also occur in high predicted alkalinity.
conclusionsGeochemical modelling using species' occurrence data is a potentially useful approach to predict species' relative natural tolerance to challenging environmental conditions. The findings also demonstrate a correlation between salinity tolerance and alkalinity tolerance. Further investigations can consider the phylogenetic distribution of specific traits involved in these ecophysiological strategies, ideally by incorporating more complete, finer-scale geochemical information, as well as laboratory experiments.
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