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Published on: March 19, 2018
Spatiotemporal variation in Coffea canephora leaf traits and iWUE in Congo Basin forests
Yves Hatangi1,2,3,4, An-Sofie Tas3,5, Jonas Depecker5
1Department of Botany, University of Kisangani, Kisangani 2012, Democratic Republic of the Congo.
Background And Aims:
Understanding spatiotemporal variation in plant functional traits and intrinsic water use efficiency (iWUE) is essential to evaluate how plants respond to environmental change. In forests of the Congo Basin, we examined spatial and century-scale temporal trends in the morphological and physiological characteristics of the leaves of Coffea canephora, a widespread understorey species from West Africa to the African rift (Uganda).
Methods:
Using 179 herbarium samples collected during two periods (1900-60 and 2016-21), we measured the specific leaf area (SLA), stomatal size (S), stomatal pore size (SPS), stomatal density (SD) and maximum diffusive stomatal conductance to CO2 (gcmax). Stable carbon and oxygen isotope ratios (δ13C, δ18O) were measured from leaf cellulose to infer variation in photosynthetic activity iWUE.
Key Results:
We found a significant spatiotemporal variation in leaf morphological and physiological traits and iWUE. δ13C ranged from -34.84 to -24.11 ‰, and δ18O from +26.96 to +34.16 ‰. Over the past century, SLA and S increased, whereas SPS, SD, gcmax, δ13C and iWUE decreased. Spatially, morphological traits appeared shaped by long-term environmental adaptation, while physiological traits responded more to short-term drivers such as atmospheric CO2 and precipitation, highlighting a functional decoupling that may limit photosynthetic performance of C. canephora under future climate change. The trait correlations showed coordinated functional trade-offs: SLA was negatively correlated with iWUE, while S, SD and gcmax were positively associated, reflecting trade-offs between carbon gain and water conservation.
Conclusions:
Our study underscores the value of herbarium-based multitrait approaches in reconstructing long-term plant responses and their relevance for understanding climate sensitivity in tropical understorey species.
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