Drought susceptibility of southern African C4 grasses: phylogenetically and photosynthetically determined?
<ol> <li> <span>Factors that determine C</span><span>4 </span><span>grass distributions have been well documented, with evidence in the literature for C<sub>4</sub> photosynthetic subtypes displaying varying levels of drought susceptibility. However, the interactions between C</span><span>4 </span><span>photosynthetic subtype and phylogeny add complexity and are relatively under-studied. </span> </li> <li><span>We use species distribution modelling to determine the influence of rainfall on distribution patterns of representative C<sub>4</sub> grass families and subtypes. Select C<sub>4</sub> grass species, representing different photosynthetic subtypes (NADP-Me and NAD-Me) and lineages (Panicoideae and Aristidoideae), were then subjected to a progressive 58-day drought period and recovery phase, to explore drought responses through leaf water relations, gas exchange and chlorophyll fluorescence. </span></li> <li><span>We show Panicoideae NADP-Me species to be more susceptible to drought than both Panicoideae NAD-Me and Aristidoideae NADP-Me species due to apparent greater metabolic impairment. The differences between groups were related to how rapidly photosynthesis declines with exposure to drought and the rate of recovery post-drought, rather than the maximum extent of photosynthetic decline. The mechanisms for the relative maintenance of plant water status differed between the Panicoideae NAD-Me species, which utilised greater stomatal control, and the Aristidoideae NADP-Me species, which maintained water uptake through osmotic adjustment. </span></li> <li> <em><span>Synthesis:</span></em><span> We show here that drought susceptibility differs both phylogenetically and according to photosynthetic subtype, but that the role of phylogeny may outweigh physiological control. This research adds novel insight into the physiological differences behind observed rainfall-related differences in C<sub>4</sub> grass distribution patterns. </span> </li> </ol>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 12
- Access
- 12
- Reuse readiness
- 0
- Engagement
- 8
Topics
Dataset details
- Repository
- dryad
- Published
- April 19, 2023
- License
- cc-zero
- DOI
- 10.5061/dryad.tdz08kq46
Scored with release 0.9.0
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