A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait

dc.contributor.advisorWest, Adam
dc.contributor.advisorSkelton, Robert
dc.contributor.authorIrlam, Huw
dc.date.accessioned2025-11-24T09:00:53Z
dc.date.available2025-11-24T09:00:53Z
dc.date.issued2025
dc.date.updated2025-11-24T08:36:58Z
dc.description.abstractIn light of increased drought frequency and intensity due to climate change, knowledge of how plant drought tolerance is affected is important for understanding plant vulnerability to these changes. Minimum conductance (gmin) describes the residual rate of water loss by a plant through its leaves when it has closed its stomata in order to minimise that water loss rate. This includes contributions to water loss through incompletely closed or leaky stomata, the waxy cuticle layer, or through wounding and scarring. This understudied conductance parameter is a critical piece to understanding plant dry-down time to death. However, definitions of this trait have historically been inconsistent leading to non-standardised methods for measurement, which lack an underlying theoretical basis. This obscures assessment of the existing variability and sensitivity of this important trait. In this thesis, clear definitions for minimum conductance are provided. A theory-based and biologically meaningful framework for measuring this trait over the stomatal safety margin is proposed. There is a focus on standardisation of existing methods, while increasing applicability and reproducibility on plants with a variety of morphologies. Using this framework, an assessment of minimum conductance was carried out on three characteristic and well-studied plant families of the Cape Floristic Region, namely Proteaceae, Ericaceae, and Restionaceae, to improve our understanding of drought response in these groups while demonstrating how this framework helps to improve minimum conductance measurements. Results showed a diverse response of minimum conductance values indicative of diverse drought strategies. This highlights the importance of including accurate values of minimum conductance in models predicting plant mortality under changing climate conditions.
dc.identifier.apacitationIrlam, H. (2025). <i>A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait</i>. (). University of Cape Town ,Faculty of Science ,Department of Biological Sciences. Retrieved from http://hdl.handle.net/11427/42306en_ZA
dc.identifier.chicagocitationIrlam, Huw. <i>"A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait."</i> ., University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2025. http://hdl.handle.net/11427/42306en_ZA
dc.identifier.citationIrlam, H. 2025. A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait. . University of Cape Town ,Faculty of Science ,Department of Biological Sciences. http://hdl.handle.net/11427/42306en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Irlam, Huw AB - In light of increased drought frequency and intensity due to climate change, knowledge of how plant drought tolerance is affected is important for understanding plant vulnerability to these changes. Minimum conductance (gmin) describes the residual rate of water loss by a plant through its leaves when it has closed its stomata in order to minimise that water loss rate. This includes contributions to water loss through incompletely closed or leaky stomata, the waxy cuticle layer, or through wounding and scarring. This understudied conductance parameter is a critical piece to understanding plant dry-down time to death. However, definitions of this trait have historically been inconsistent leading to non-standardised methods for measurement, which lack an underlying theoretical basis. This obscures assessment of the existing variability and sensitivity of this important trait. In this thesis, clear definitions for minimum conductance are provided. A theory-based and biologically meaningful framework for measuring this trait over the stomatal safety margin is proposed. There is a focus on standardisation of existing methods, while increasing applicability and reproducibility on plants with a variety of morphologies. Using this framework, an assessment of minimum conductance was carried out on three characteristic and well-studied plant families of the Cape Floristic Region, namely Proteaceae, Ericaceae, and Restionaceae, to improve our understanding of drought response in these groups while demonstrating how this framework helps to improve minimum conductance measurements. Results showed a diverse response of minimum conductance values indicative of diverse drought strategies. This highlights the importance of including accurate values of minimum conductance in models predicting plant mortality under changing climate conditions. DA - 2025 DB - OpenUCT DP - University of Cape Town KW - Plant drought LK - https://open.uct.ac.za PB - University of Cape Town PY - 2025 T1 - A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait TI - A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait UR - http://hdl.handle.net/11427/42306 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/42306
dc.identifier.vancouvercitationIrlam H. A theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait. []. University of Cape Town ,Faculty of Science ,Department of Biological Sciences, 2025 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/42306en_ZA
dc.language.isoen
dc.language.rfc3066eng
dc.publisher.departmentDepartment of Biological Sciences
dc.publisher.facultyFaculty of Science
dc.publisher.institutionUniversity of Cape Town
dc.subjectPlant drought
dc.titleA theoretical and empirical framework for measuring minimum conductance, an understudied plant drought trait
dc.typeThesis / Dissertation
dc.type.qualificationlevelMasters
dc.type.qualificationlevelMSc
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