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Paalsson, A.

Publications and source records attributed to Paalsson, A..

2 recordsLinked to original sources

Life history traits mediate elevational adaptation in a perennial alpine plant

O_LISpatially divergent natural selection drives adaptation to contrasting environments and the evolution of ecotypes. Understanding this process in perennial plants is challenging because natural selection acts on multiple life history traits linked by fitness trade-offs. C_LIO_LIIn a multi-year reciprocal transplant experiment of high and low elevation populations of the alpine carnation Dianthus carthusianorum in the Central Alps, we tested how different stages of the life cycle contribute to adaptation. Moreover, we used matrix population models to infer the specific contributions of individual life stages to fitness, coupled with trade-off analyses. C_LIO_LIWe found genotype x environment interactions consistent with elevational adaptation both in single fitness components linked to reproduction and survival, and in integrative fitness estimates. Adaptation at low elevation is driven by early reproduction, in contrast to an opposite strategy at high elevation. Adaptive life-history differences between populations originating from low and high elevations are mediated by environmental effects on plant growth and trade-offs between reproduction and survival. C_LIO_LIOur work reveals elevational ecotypes of the perennial alpine plant D. carthusianorum that express alternative life history strategies in response to climatic differences shaping resource allocation. C_LI

evolutionary biology↗

Unravelling drivers of local adaptation through Evolutionary Functional-Structural Plant modelling

O_LILocal adaptation to contrasting environmental conditions along environmental gradients is a widespread phenomenon in plant populations, yet we lack a mechanistic understanding of how individual agents of selection contribute to local adaptation. C_LIO_LIHere, we developed a novel evolutionary functional-structural plant (E-FSP) model that simulates local adaptation of virtual plants along an environmental gradient. First, we validate the model by testing if it can recreate two elevational ecotypes of Dianthus carthusianorum occurring in the Swiss Alps. Second, we use the E-FSP model to disentangle the relative contribution of abiotic (temperature) and biotic (competition and pollination) selection pressures to elevational adaptation in D. carthusianorum. C_LIO_LIThe model reproduced the qualitative differences between the elevational ecotypes in two phenological (germination and flowering time) and one morphological trait (stalk height), as well as qualitative differences in four performance variables that emerge from GxE interactions (flowering time, number of stalks, rosette area and seed production). Our results suggest that elevational adaptation in D. carthusianorum is predominantly driven by the abiotic environment. C_LIO_LIOur approach shows how E-FSP models incorporating physiological, ecological and evolutionary mechanisms can be used in combination with experiments to examine hypotheses about patterns of adaptation observed in the field. C_LI

evolutionary biology↗