Spatial dynamics and quantification of deforestation in the central-plateau woodlands of Angola (1990-2009)

被引:46
作者
Cabral, A. I. R. [1 ]
Vasconcelos, M. J. [1 ]
Oom, D. [1 ]
Sardinha, R. [2 ]
机构
[1] Trop Res Inst, P-1300142 Lisbon, Portugal
[2] Inst Piaget, P-1900726 Lisbon, Portugal
关键词
Land cover change; Satellite images; Huambo province; Miombo; Deforestation rate; LAND-COVER; TROPICAL DEFORESTATION; CARBON EMISSIONS; AFRICA;
D O I
10.1016/j.apgeog.2010.09.003
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
Some authors argue that deforestation in Africa is one of the highest among the world's continents. However, for several regions, historical data and observations obtained by remote sensing raise some controversy over the portrait accepted in international circles. This case study, located in the central plateau of Angola, highlights the importance of medium to high resolution multi-temporal observations of land cover by remote sensing as a means of obtaining objective information and illustrates the complexity of deforestation processes. Land cover change in the Huambo province (Angola) is analyzed using maps produced for three dates (in the period between 1990 and 2009) by classification of Landsat TM and ETM+ images. The results are a first stepping stone for the development of a forest monitoring baseline for REDD projects under the scope of post-Kioto agreements, and they indicate an overall recovery in the forest extent of Huambo (negative deforestation rate of -0.16%, contrasting with the +0.20% reported for the entire country). However, this apparent recovery hides an inversion in the dynamics of the more densely wooded vegetation types, the miombo woodlands, which show a very slight expansion in the first decade analyzed and a marked reduction in the second, while agriculture shows a consistent and constant expansion. The deforestation rate of 1.49% in miombo woodlands in the last decade is found to be seven times higher when compared with official figures reported for the entire country. These results are discussed in the context of the socio-economic factors that may have driven the observed dynamics. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1185 / 1193
页数:9
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