Related Experiment Video
Updated: May 20, 2025

Field-Based Thermal Physiology Assay: Cold Shock Recovery under Ambient Conditions
Published on: March 9, 2021
Intraspecific Variation on Thermal Acclimation of Phragmites australis, a Widespread Wetland Plant Species in
Linjing Ren1,2, Emil Jespersen2, Maja B Juulsager2
1State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai, China.
Abstract:
The temperature sensitivity of photosynthesis remains a significant uncertainty in wetland plants, critically impacting predictions of vegetation dynamics and ecosystem functions under global warming scenarios. This study investigates the photosynthetic responses of Phragmites australis, a model wetland plant with a broad geographic distribution, to temperature variations across three distinct temporal scales. We analysed short-term responses using net photosynthesis rate temperature curves, medium-term acclimation across three growth temperature regimes, and long-term adaptation of phylogeographical groups to their genotypic origins' climate. We demonstrated that the overall photosynthetic performance of P. australis is principally driven by thermal acclimation to growth temperature, comparing with local adaptation to climate of origin. Genotypes from diverse geographical regions demonstrated varied physiological strategies: those from higher latitudes exhibited remarkable plasticity, adjusting rapidly to optimise photosynthetic performances under changing thermal conditions. These intraspecific differences highlighted the role of evolutionary history in shaping species' potential resilience and adaptive capacity. This study also underscored the complex interplay between temperature, O2 sensitivity and photosynthetic efficiency, advancing our understanding of how widespread wetland species respond to ongoing global climate dynamics.
Related Concept Videos
Responses to Heat and Cold Stress
Adaptations that Reduce Water Loss
Biological Clocks and Seasonal Responses
Light Acquisition
Speciation Rates
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...

