Three Decades of Land Cover Change in East Africa

被引:51
作者
Bullock, Eric L. [1 ]
Healey, Sean P. [1 ]
Yang, Zhiqiang [1 ]
Oduor, Phoebe [2 ]
Gorelick, Noel [3 ]
Omondi, Steve [2 ]
Ouko, Edward [2 ]
Cohen, Warren B. [4 ]
机构
[1] US Forest Serv, Rocky Mt Res Stn, Ogden, UT 84401 USA
[2] Reg Ctr Mapping Resources Dev, Nairobi 00618, Kenya
[3] Google Switzerland, CH-8002 Zurich, Switzerland
[4] USDA Forest Serv, Pacific Northwest Res Stn, 3200 SW Jefferson Way, Corvallis, OR 97331 USA
关键词
land cover change; TimeSync; East Africa; Landsat; statistical inference; development; ESTIMATING AREA; ENCROACHMENT; ECOREGIONS; ACCURACY; GROWTH; MAP;
D O I
10.3390/land10020150
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 35 条
[1]  
[Anonymous], 2019, UN Population Prospects
[2]   Human population growth offsets climate-driven increase in woody vegetation in sub-Saharan Africa [J].
Brandt, Martin ;
Rasmussen, Kjeld ;
Penuelas, Josep ;
Tian, Feng ;
Schurgers, Guy ;
Verger, Aleixandre ;
Mertz, Ole ;
Palmer, John R. B. ;
Fensholt, Rasmus .
NATURE ECOLOGY & EVOLUTION, 2017, 1 (04)
[3]  
Bughin J., 2016, Lions on the Move II: Realizing the Potential of Africa's Economies
[4]   Increased tree densities in South African savannas: >50 years of data suggests CO2 as a driver [J].
Buitenwerf, R. ;
Bond, W. J. ;
Stevens, N. ;
Trollope, W. S. W. .
GLOBAL CHANGE BIOLOGY, 2012, 18 (02) :675-684
[5]  
Central Intelligence Agency, 2017, GDP CAP PPP
[6]  
Cochran W.G., 1977, Sampling techniques, V3rd, P428
[7]   Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync - Tools for calibration and validation [J].
Cohen, Warren B. ;
Yang, Zhigiang ;
Kennedy, Robert .
REMOTE SENSING OF ENVIRONMENT, 2010, 114 (12) :2911-2924
[8]  
Crowley H., 2004, Terrestrial Ecoregions of Africa and Madagascar. A Conservation Assessment
[9]   Future urban land expansion and implications for global croplands [J].
d'Amour, Christopher Bren ;
Reitsma, Femke ;
Baiocchi, Giovanni ;
Barthel, Stephan ;
Guneralp, Burak ;
Erb, Karl-Heinz ;
Haberl, Helmut ;
Creutzig, Felix ;
Seto, Karen C. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (34) :8939-8944
[10]  
Espejo A., 2020, Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: Methods and guidance from the Global Forest Observations Initiative