5 research outputs found

    Data 1: Seedling and adult Density and Basal Area for Pentadesma

    No full text
    Data 1: Population density and basal area data for 18 Pentadesma butyraceae populations in Benin, West Africa This data set includes for each plot in each of the 18 populations of Pentadesma butyraceae in Benin, seedling, clonal and adult densities, and population level fruit harvesting intensity and gallery forest width

    Effect of fruit harvest (Harvest: L = low, M = medium, H = high), gallery forest width (FSize) on <i>Pentadesma butyracea</i> seedlings density in two ecological regions of Benin (RegSG vs. RegS).

    No full text
    <p>Regression coefficients, adjusted 1 SE and P-values are estimated from information theoretic model averaging approach following a generalized mixed effect model with negative binomial error structure.</p

    Size class distribution for <i>Pentadesma butyracea</i> populations with low, medium and high fruit harvesting rates in two ecological regions.

    No full text
    <p>Size class distribution for <i>Pentadesma butyracea</i> populations with low, medium and high fruit harvesting rates in two ecological regions.</p

    Data 2: Individual Demography of Pentadesma butyraceae in Benin

    No full text
    Data 2: This data set includes dbh, total height, trunk height, number of fruits, distance to river bed data for 482 Pentadesma butyraceae trees in 18 populations in Benin, West Africa distributed across two climatic regions. For each of these individual trees, we also added fruit harvesting intensity at the plot level, the gallery forest width and river width

    Effect of fruit harvest (Harvest: L = low, M = medium, H = high), gallery forest width (FSize) on <i>Pentadesma butyracea</i> adult density in two ecological regions (RegSG vs. RegS).

    No full text
    <p>Regression coefficients, adjusted 1 standard error (SE) and p-values are estimated from information theoretic model averaging approach following a generalized mixed effect model with negative binomial error structure.</p
    corecore