Human Alterations, Deforestation, and its Adverse Affects

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Information from the Human Development Index (HDI) regarding life expectancy, education levels, adult literacy, and Gross Domestic Product (GDP) were used for comparison of countries with high deforestation rates. A World Bank database was used to obtain deforestation rates, population growth rates and HDI values. The statistical analyses used were t tests and correlation coefficients to examine correlations between different factors. Scatter plots were used to observe how closely the results mirrored the Kuznets curve; an inverted U- shaped curve predicting deforestation to increase, reach an equilibrium, and then decrease.
After two decades Jha and Bawa found that human population growth rate and HDI increased with deforestation rates ranging 1.2% - 3.1%, population growth ranging 0.9% - 3.8%, and HDI 0.34 – 0.80. The increase in HDI correlates with higher education, lower levels of fertility, and a longer life expectancy. A strong correlation (r = 0.53) was found between human population growth rate and deforestation (p<0.001) (CITATION). HDI and deforestation had a p value of 0.02 and a r-value of -0.40, a strongly negative correlation. The Kuznets curve was not supported by results, deforestation continued to increase rather than level off.
Population growth and HDI show correlation with deforestation rates but these correlations weakened over time, Jha and Bawa concluded that population and HDI values influence deforestation. Jha and Bawa’s hypothesis was supported but not as strongly as originally predicted. They concluded that in addition to population and HDI values policy changes and rates of development could be affecting deforestation rates. A generalized conclusion is that increasing population sizes in underdeve...

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