Predicting alpha diversity of African rain forests: models based on climate and satellite-derived data do not perform better than a purely spatial model

Our aim was to evaluate the extent to which we can predict and map tree alpha diversity across broad spatial scales either by using climate and remote sensing data or by exploiting spatial autocorrelation patterns in tropical rain forest, West Africa and Atlantic Central Africa

The Odd Man Out? Might Climate Explain The Lower Tree Alpha-Diversity Of African Rain Forests Relative To Amazonian Rain Forests?

1. Comparative analyses of diversity variation among and between regions allow testing of alternative explanatory models and ideas. Here, we explore the relationships between the tree α-diversity of small rain forest plots in Africa and in Amazonia and climatic variables, to test the explanatory power of climate and the consistency of relationships between the two continents. 2. Our analysis included 1003 African plots and 512 Amazonian plots. All are located in old-growth primary non-flooded forest under 900 m altitude. Tree α-diversity is estimated using Fisher’s alpha calculated for trees with diameter at breast height ≥ 10 cm. Mean diversity values are lower in Africa by a factor of two. 3. Climate-diversity analyses are based on data aggregated for grid cells of 2.5 × 2.5 km. The highest Fisher’s alpha values are found in Amazonian forests with no climatic analogue in our African data set. When the analysis is restricted to pixels of directly comparable climate, the mean diversity of African forests is still much lower than that in Amazonia. Only in regions of low mean annual rainfall and temperature is mean diversity in African forests comparable with, or superior to, the diversity in Amazonia. 4. The climatic variables best correlated with the tree α-diversity are largely different in the African and Amazonian data, or correlate with African and Amazonian diversity in opposite directions. 5. These differences in the relationship between local/landscape-scale α-diversity and climate variables between the two continents point to the possible significance of an array of factors including: macro-scale climate differences between the two regions, overall size of the respective species pools, past climate variation, other forms of longterm and short-term environmental variation, and edaphics. We speculate that the lower α-diversity of African lowland rain forests reported here may be in part a function of the smaller regional species pool of tree species adapted to warm, wet conditions. 6. Our results point to the importance of controlling for variation in plot size and for gross differences in regional climates when undertaking comparative analyses between regions of how local diversity of forest varies in relation to other putative controlling factors

Chinese economic expansionism in Africa: A theoretical analysis of the environmental Kuznets Curve Hypothesis in the forest sector in Cameroon.

This paper, which is conceptually located at the intersection of trade–economics, resource politics, and environmental assessment, is a narrative-analytic review of Chinese economic expansionism in Africa especially its quest for the continent’s natural resources in the past 10 years. We seek to examine the environmental, ecological, and sociopolitical impacts of the current China–Africa engagement within the context of the Environmental Kuznets Curve (EKC) hypothesis. The EKC hypothesis posits that an inverted U-shape relationship exists between economic growth and environmental quality. This implies that the quality of a country’s environment will initially decrease due to its economic growth, but will soon start to improve when the country attains a certain threshold level of economic development/income per capita. We argue that by virtue of its ‘omission’ and/or ‘commission’ factors, the EKC hypothesis can be misleading if not dangerous. Using the case study of China’s engagement with Cameroon in the forest sector, the paper illustrates the high threshold level of economic development/income per capita that is required before the quality of the country’s environment can begin to improve. The paper ends with the environmental, ecological, and sociopolitical impacts of Chinese involvement in the Cameroonian forest sector and concludes that this engagement and the larger Chinese economic expansionism in Africa under current trading conditions is fairly detrimental to the welfare of African peoples and their environment