
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Too dry to survive: Leaf hydraulic failure in two Salvia species can be predicted on the basis of water content

pmid: 34119871
handle: 11368/3018879 , 11577/3539477 , 11390/1207732 , 11570/3204920
Too dry to survive: Leaf hydraulic failure in two Salvia species can be predicted on the basis of water content
Global warming is exposing plants to increased risks of drought-driven mortality. Recent advances suggest that hydraulic failure is a key process leading to plant death, and the identification of simple and reliable proxies of species-specific risk of irreversible hydraulic damage is urgently required. We assessed the predictive power of leaf water content and shrinkage for monitoring leaf hydraulic failure in two Mediterranean native species, Salvia ceratophylloides (Sc) and S. officinalis (So). The study species showed significant differences in relative water content (RWC) thresholds inducing loss of rehydration capacity, as well as leaf hydraulic conductance (KL) impairment. Sc turned out to be more resistant to drought than So. However, Sc and So showed different leaf saturated water content values, so that different RWC values actually corresponded to similar absolute leaf water content. Our findings suggest that absolute leaf water content and leaf water potential, but not RWC, are reliable parameters for predicting the risk of leaf hydraulic impairment of two Salvia species, and their potential risk of irreversible damage under severe drought. Moreover, the lack of any KL decline until the turgor loss point in Sc, coupled to consistent leaf shrinkage, rejects the hypothesis to use leaf shrinkage as a proxy to predict KL vulnerability, at least in species with high leaf capacitance. Robust linear correlations between KL decline and electrolyte leakage measurements suggested a role of membrane damage in driving leaf hydraulic collapse.
- University of Trieste Italy
- University of Udine Italy
- Università degli studi di Salerno Italy
- University of Messina Italy
- University of Messina Italy
Climate change; Leaf hydraulic failure; Leaf shrinkage; Mediterranean species; Membrane damages; Rehydration capacity; Water content; Droughts; Plant Leaves; Species Specificity; Salvia; Water, Mediterranean specie, Membrane damage, Climate change; Leaf hydraulic failure; Leaf shrinkage; Mediterranean species; Membrane damages; Rehydration capacity; Water content, Species Specificity, Climate change, Leaf shrinkage, Salvia, Water content, Drought, Water, Rehydration capacity, Leaf hydraulic failure, Droughts, Plant Leaves, Plant Leave, Climate change, Leaf hydraulic failure, Leaf shrinkage, Mediterranean species, Membrane damages, Rehydration capacity, Water content
Climate change; Leaf hydraulic failure; Leaf shrinkage; Mediterranean species; Membrane damages; Rehydration capacity; Water content; Droughts; Plant Leaves; Species Specificity; Salvia; Water, Mediterranean specie, Membrane damage, Climate change; Leaf hydraulic failure; Leaf shrinkage; Mediterranean species; Membrane damages; Rehydration capacity; Water content, Species Specificity, Climate change, Leaf shrinkage, Salvia, Water content, Drought, Water, Rehydration capacity, Leaf hydraulic failure, Droughts, Plant Leaves, Plant Leave, Climate change, Leaf hydraulic failure, Leaf shrinkage, Mediterranean species, Membrane damages, Rehydration capacity, Water content
1 Research products, page 1 of 1
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).20 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
