z-logo
open-access-imgOpen Access
Predicting species' tolerance to salinity and alkalinity using distribution data and geochemical modelling: a case study using Australian grasses
Author(s) -
C. Haris SaslisLagoudakis,
Xia Hua,
Elisabeth N. Bui,
Camile Moray,
Lindell Bromham
Publication year - 2014
Publication title -
annals of botany
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.567
H-Index - 176
eISSN - 1095-8290
pISSN - 0305-7364
DOI - 10.1093/aob/mcu248
Subject(s) - alkalinity , salinity , halophyte , biology , taxon , ecology , chemistry , organic chemistry
Salt 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom