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Data from: Historic land use modifies impacts of climate and isolation in rear edge European beech (Fagus sylvatica L.) populations

Rhoades, Jazz1; Vilà-Cabrera, Albert2; Ruiz-Benito, Paloma3; Bullock, James M.4; Jump, Alistair S.1; Chapman, Daniel1

Research facility: University of Stirling
Published Oct 25, 2024 on Dryad. https://doi.org/10.5061/dryad.n2z34tn65

Data files

Oct 25, 2024 version files 3.54 MB

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Abstract

Legacies of human land use have the potential to impact demographic responses to climate. However, few studies have investigated the interactive effects of land use legacies and climate change on tree demography. The demographic performance of rear edge populations in particular is an important determinant of a species’ long-term persistence. In this study, we investigated whether human land use legacies affect demographic responses to climate and population isolation in rear edge European beech populations (Fagus sylvatica L.) at the temperate-Mediterranean transition zone in the NE Iberian Peninsula. We utilised data from the Spanish Forest Inventory and generalised linear mixed models to compare the potential interactions across four different demographic rates (tree growth, survival probability, new adult recruitment and sapling recruitment). We found that the demographic rates were affected by the combination of land use legacies, climate and population isolation in different ways, which could potentially lead to complex shifts in future population dynamics under climate change. We identified that intense historic management either magnified negative relationships between tree demography and climate or population isolation, or reduced demographic performance in favourable climates to levels observed in unfavourable climates. Through either form of interaction, we found that intense historic forest management had a negative impact on tree demography, which has the potential to compromise future carbon stocks and long-term population viability. Overall, we show that disentangling human and environmental factors can enable us to better understand heterogeneous demographic performance across the rear edge of species distributions.