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Dryad

Data on tree traits and shade generation in a South African forest-savanna mosaic

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Jul 08, 2026 version files 15.93 KB

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Abstract

Forests and mesic savannas can both exist under the same climatic conditions across the tropics and subtropics but differ greatly in ecosystem function. Grass fuels are one key difference: flammable grasses promote fire in savanna but are shade intolerant and thus excluded from forest. While fire suppression via shading is widespread in forests, the extent to which shade results from the traits of individual forest trees versus from a high density of trees remains poorly understood. We examined whether individual or ecosystem-level traits are responsible for excluding shade-intolerant grasses (and hence fire) in forest understory in southern Africa using a simple mathematical model linking tree traits to ecosystem function via their impact on shade and grass-exclusion.

To parameterize the model, we used trait data collected along a Leaf Area Index (LAI) gradient spanning across a savanna-forest mosaic in Hluhluwe iMfolozi Park, South Africa. We contrasted two versions of the model, one based on individual tree functional traits and another that also incorporated tree neighbor density, and evaluated which model better predicted measured LAI. This dataset includes trait data and model-predicted shade values for individual trees in savanna and forest habitats, as well as grass biomass and cover data collected from transects in savanna and forest habitats to contextualize tree shade effects on grass.