14 research outputs found

    Appendix B. Continental variation in richness and MDEs.

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    Continental variation in richness and MDEs

    Appendix C. Discussion of further examples of MDE predictions that are strongly collinear with environmental gradients.

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    Discussion of further examples of MDE predictions that are strongly collinear with environmental gradients

    Appendix A. Sources of data and notes used in the compilation of Table 1.

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    Sources of data and notes used in the compilation of Table 1

    Categorical map of predicted malaria prevalence.

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    <p>Predicted <i>P. falciparum</i> prevalence in children 2 to 9 years old as a function of altitude and vector habitat availability within 1.5 km of grid cells (predicted from niche models) is shown on a categorical scale.</p

    Regression model goodness-of-fit.

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    <p>Area of predicted malaria vector habitat improves the goodness-of-fit of models of malaria prevalence, assessed by regression of observed versus predicted malaria prevalence in children 2 to 9 years old. Assessments were performed for (A) an ordinary least squares regression model of <i>P. falciparum</i> prevalence as a function of altitude, and (B) a conditional autoregressive model of <i>P. falciparum</i> prevalence as a function of altitude and habitat. Data points represent 24 villages in north eastern Tanzania. The 1:1 line is shown for reference.</p

    Appendix B. Map showing change in mean growing season temperature between 1900–1930 and 1960–1990.

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    Map showing change in mean growing season temperature between 1900–1930 and 1960–1990
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