4.6 Article

Three Decades of Land Cover Change in East Africa

期刊

LAND
卷 10, 期 2, 页码 -

出版社

MDPI
DOI: 10.3390/land10020150

关键词

land cover change; TimeSync; East Africa; Landsat; statistical inference; development

资金

  1. NASA under SERVIR Applied Science Team grant [NNH16AD021]

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This study analyzed land cover changes in Sub-Saharan East Africa using satellite observations, finding a significant increase in cropland area and a decrease in woody vegetation. The rapid population growth led to concerns about the conservation of natural ecosystems due to land conversion caused by human activities.
Population growth rates in Sub-Saharan East Africa are among the highest in the world, creating increasing pressure for land cover conversion. To date, however, there has been no comprehensive assessment of regional land cover change, and most long-term trends have not yet been quantified. Using a designed sample of satellite-based observations of historical land cover change, we estimate the areas and trends in nine land cover classes from 1998 to 2017 in Ethiopia, Kenya, Uganda, Malawi, Rwanda, Tanzania, and Zambia. Our analysis found an 18,154,000 (+/- 1,580,000) ha, or 34.8%, increase in the area of cropland in East Africa. Conversion occurred primarily from Open Grasslands, Wooded Grasslands, and Open Forests, causing a large-scale reduction in woody vegetation classes. We observed far more conversion (by approximately 20 million hectares) of woody classes to less-woody classes than succession in the direction of increasing trees and shrubs. Spatial patterns within our sample highlight regional land cover conversion hotspots, such as the Central Zambezian Miombo Woodlands, as potential areas of concern related to the conservation of natural ecosystems. Our findings reflect a rapidly growing population that is moving into new areas, with a 43.5% increase in the area of Settlements over the three-decade period. Our results show the areas and ecoregions most impacted by three decades of human development, both spatially and statistically.

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