Rainfall and temperature affect tree species distributions in Ghana
| Autor: | Frans Bongers, Lourens Poorter, Lucy Amissah, Godefridus M. J. Mohren, William D. Hawthorne |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Range (biology)
growth Species distribution Distribution (economics) Climate change drought Logistic regression Atmospheric sciences distribution patterns amazon forest tropical forest trees medicine Bosecologie en Bosbeheer environmental gradients Ecology Evolution Behavior and Systematics response curves Ecology business.industry Seasonality medicine.disease PE&RC Forest Ecology and Forest Management continuum theory Environmental science soil nutrients business Global biodiversity Woody plant logistic-regression |
| Zdroj: | Journal of Tropical Ecology, 30(5), 435-446 Journal of Tropical Ecology 30 (2014) 5 |
| ISSN: | 0266-4674 |
| DOI: | 10.1017/s026646741400025x |
| Popis: | We evaluated the relative importance of annual rainfall, temperature and their seasonality to tree species distribution in Ghana. We used species presence/absence data from 2505 1-ha plots systematically distributed over Ghana's forests. Logistic regression was used to determine species responses to four climatic variables generated from the Worldclim database. The distribution of 95% of 20 species was significantly associated with annual rainfall, 60% with rainfall seasonality, 45% with isothermality and 40% with temperature seasonality. Annual rainfall explained on average most of the variation (17%, range = 0.5–52%) in species distribution, followed by rainfall seasonality 5% (range = 0.5–27%), isothermality 4% (range = 0.8–24%) and temperature seasonality 1% (range = 0.4–4.5%). Our results suggest that, out of the climatic variables investigated, rainfall is the main factor determining tree species distribution in Ghana; temperature also influences the distribution of a number of species, although it explains much less of the variation. The reduction in annual rainfall that prevailing climate-change scenarios predict for the region will result in a shift in the distribution of most species, whereas the predicted increase in temperature variation is likely to have little effect. |
| Databáze: | OpenAIRE |
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