Identifying nascent wetland forest conversion in the Democratic Republic of the Congo

被引:11
|
作者
Bwangoy, Jean-Robert B. [1 ]
Hansen, Matthew C. [2 ]
Potapov, Peter [2 ]
Turubanova, Svetlana [2 ]
Lumbuenamo, Raymond S. [3 ]
机构
[1] S Dakota State Univ, Geog Informat Sci Ctr Excellence, Brookings, SD 57006 USA
[2] Univ Maryland, Dept Geog, College Pk, MD 20742 USA
[3] Worldwide Fund Nat CARPO, Kinshasa, Ngaliema, DEM REP CONGO
关键词
Congo Basin; Cuvette Centrale; Swamp forest; Wetlands; Radar; PALSAR; Landsat; SRTM; Remote sensing; Terra firma; Arable land; Potential vegetation cover; Climatic optimum; CLASSIFICATION TREES; DECISION TREE; VEGETATION; JERS-1; COVER; RADAR; AREA; FLOODPLAIN;
D O I
10.1007/s11273-012-9277-z
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wetlands cover large areas in the Democratic Republic of the Congo. However, their extent and distribution have not been accurately mapped. While wetland forests remain largely undisturbed, increasing threats by anthropogenic activities have been observed in areas with high population density per arable or exploitable land. The scarcity of terra firma forests in some territories of the Democratic Republic of the Congo has forced local communities to develop cropping methods that allow for cultivation in periodically flooded areas. Assessing wetlands extent and status is critical for long term conservation of these highly vulnerable ecosystems. In this study, we use multi-source and multi-resolution optical and radar remotely sensed data and elevation derived indices to map the wetlands of the Democratic Republic of the Congo. Results showed that wetlands are a significant part of the landscape in the country, covering an estimated 440,000 km(2) or 19.2 % of the total country area. By combining the wetlands map with a previously produced land cover depiction of the Democratic Republic of the Congo, a map including forested wetlands as a thematic class was derived. We investigated whether high terra firma population density and low percent remaining terra firma forest are related at the lowest administrative level (Sector); specifically, we tested these two variables as predictors of wetland forest cover loss. A polynomial regression relating population and primary terra firma forest to wetland forest cover loss yielded an r (2) of 0.76, illustrating a nascent and significant land cover change dynamic. Areas most at risk for future wetland forest loss lie in the western Cuvette, and include (north-south) the Sud-Ubangi, Mongala, Equateur and Mai-Ndombe Districts. By quantifying available upland forest resources and overlaying with population density, it was possible to identify stressed areas inside of the forest domain (traditionally known for having generically high levels of forest resources). Results illustrate the need for addressing issues of wetland forest management and protection in the Democratic Republic of the Congo, especially where increasing populations are exhausting primary terra firma forest resources.
引用
收藏
页码:29 / 43
页数:15
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