8 research outputs found

    Results of the partitioning variation between environmental variables and spatial effects for each of the 20 combinations of DBH and cell size using basal area data.

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    <p>Note: Adjusted R-squared statistics are shown. Fractions [a] – [d] are as follows: [a]  =  variation explained by the environmental variables and not spatially structured; [b]  =  variation explained by the environmental variables and spatially structured; [c]  =  spatially structured variation not explained by the environmental variables; [d]  =  residual variation. Fraction [b] is the intersection of the variation explained by linear models of the two groups of explanatory factors. Topographic and edaphic variables were used to compute fractions [a] and [b]. Principal coordinates of neighbor matrix eigenfunctions were used as explanatory variables to compute fractions [b] and [c]. class 0 (DBH ≥1 cm), class 1 (1 cm ≤ DBH <5 cm), class 2 (5 cm ≤ DBH <10 cm), class 3 (10 cm ≤ DBH <25 cm), class 4 (DBH ≥25 cm).</p

    Relationships between the R-squared values of the fitted SAR models and total species abundance for each of the 5 DBH classes at the 20-m scale.

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    <p>Circles and triangles represent count data and basal area data, respectively. Classes 0 to 4 are defined as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038247#pone-0038247-g001" target="_blank">Figure 1</a>.</p

    Cell connectivity at each of the four scales of cell size for <i>Sloanea tomentosa</i> in DBH class 4.

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    <p>Cell connectivity at each of the four scales of cell size for <i>Sloanea tomentosa</i> in DBH class 4.</p

    Results of partitioning variation between environmental variables and spatial effects for each of the 20 combinations of DBH and cell size using count data.

    No full text
    <p>Note: Adjusted R-squared statistics are shown. Fractions [a] – [d] are as follows: [a]  =  variation explained by the environmental variables and not spatially structured; [b]  =  variation explained by the environmental variables and spatially structured; [c]  =  spatially structured variation not explained by the environmental variables; [d]  =  residual variation. Fraction [b] is the intersection of the variation explained by linear models of the two groups of explanatory factors. Topographic and edaphic variables were used to compute fractions [a] and [b]. Principal coordinates of neighbor matrix eigenfunctions were used as explanatory variables to compute fractions [b] and [c]. class 0 (DBH ≥1 cm), class 1 (1 cm ≤ DBH <5 cm), class 2 (5 cm ≤ DBH <10 cm), class 3 (10 cm ≤ DBH <25 cm), class 4 (DBH ≥25 cm).</p

    Number of tree species in each of the 20 combinations of DBH and cell size.

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    <p>Note: class 0 (DBH ≥1 cm), class 1 (1 cm ≤ DBH <5 cm), class 2 (5 cm ≤ DBH <10 cm), class 3 (10 cm≤ DBH <25 cm), class 4 (DBH ≥25 cm).</p

    Principal component analysis ordinations (based on matrices of transformed p-values from the SAR models) of the 14 explanatory variables and the spatial autoregressive parameter λ for each of the 5 DBH classes at the 20-m scale, obtained with basal area data.

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    <p>Classes 0 to 4 are defined as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038247#pone-0038247-g001" target="_blank">Figure 1</a>. The abbreviations are defined as in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0038247#pone-0038247-g003" target="_blank">Figure 3</a>.</p

    Distribution patterns of the total explained variation in community composition for each of the four scales of cell size based on count data and basal area data.

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    <p>The reduplicate data at each scale consisting of the 5 total explained variations of the 5 DBH classes of the variation partitioning results at each of the four scales.</p

    Distributions of the R-squared values of the fitted SAR models based on count data and basal area data for each of the 20 combinations of DBH and cell size.

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    <p>Each row represents a distinct scale of cell size; 0 to 4 in the x-axis labels represent DBH class 0 to 4, sequentially; “-CO” and “-BA” in the x-axis labels represent count data and basal area data, respectively. Classes 0 to 4 are defined as follows: class 0 (DBH ≥1 cm), class 1 (1 cm ≤ DBH <5 cm), class 2 (5 cm≤ DBH <10 cm), class 3 (10 cm ≤ DBH <25 cm) and class 4 (DBH ≥25 cm).</p
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