MAPPING TROPICAL DEFORESTATION IN CENTRAL AFRICA

Abstract.The NASA Landsat Pathfinder Humid Tropical Deforestation Project was to map deforestation activities in the humid tropics using datasets from both the Landsat TM (Thematic Mapper) and MSS (Multispectral Scanner System). In Central Africa, its effort had been constrained by the availability of cloud-free satellite coverage, especially for the 1970s Landsat MSS imagery. Here, we reported the deforestation rate and its spatial variability in the region using 18 pairs of co-registered Landsat TM imagery from the 1980s to 1990s. Of the total classified area of 416 000 km, there were approximately 217 000 km2 of dense forest and 24 000 km2 of degraded forest in the 1980s. A total of 1012 km2 of forest, including 542 km2 of dense forest and 470 km2 of degraded forest, were cleared annually with an annual deforestation rate of 0.42%, varying among scenes ranging from 0.03 to 2.72%. Additionally, an average of 0.12% (ranging from 0.01 to 0.77% among scenes) or 257 km2 of dense forest was degraded annually. Regression analyses indicated that extensive deforestation occurred in areas with larger forest cover, including dense and degraded forests. Image interpretation also confirmed the hypothesized relationship between deforestation and forest accessibility. The annual clearance of the dense forest was significantly related to the rural population density, and there was a positive relationship between the dense forest degraded during the 1980s–1990s and the degraded forest area in the 1980s.

[1]  W. Cohen,et al.  Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery , 2000 .

[2]  A. Strahler,et al.  The use of temporal metrics for land cover change detection at coarse spatial scales , 2000 .

[3]  P. Garrigues,et al.  Evaluation of sediment contamination by polycyclic aromatic hydrocarbons in the Gironde estuary , 1997 .

[4]  F. Achard,et al.  Determination of Deforestation Rates of the World's Humid Tropical Forests , 2002, Science.

[5]  D. Wilkie,et al.  Mechanized Logging, Market Hunting, and a Bank Loan in Congo , 1992 .

[6]  J. Townshend,et al.  Carbon emissions from tropical deforestation and regrowth based on satellite observations for the 1980s and 1990s , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Gianfranco De Grandi,et al.  Central African Forest Cover Revisited: A Multisatellite Analysis , 2000 .

[8]  P. Boehm,et al.  Aspects of the polycyclic aromatic hydrocarbon geochemistry of recent sediments in the Georges Bank region. , 1984, Environmental science & technology.

[9]  C. Tucker,et al.  Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988 , 1993, Science.

[10]  B. Richardson,et al.  Petroleum hydrocarbons and polycyclic aromatic hydrocarbons (PAHs) in Hong Kong marine sediments , 1999 .

[11]  A. Mather,et al.  Global Forest Resources Assessment 2000 Main Report: FAO Forestry Paper 140, FAO, Rome, 2001, xxvii+479pp, price $40.00, ISBN 92 5 104642-5, ISSN 0258-6150 , 2003 .

[12]  Peter C. V An M Etre,et al.  Urban Sprawl Leaves Its PAH Signature , 2000 .

[13]  T. Bucheli,et al.  Polycyclic aromatic hydrocarbons, black carbon, and molecular markers in soils of Switzerland. , 2004, Chemosphere.

[14]  P. Walsham,et al.  Aliphatic hydrocarbons and polycyclic aromatic hydrocarbons (PAHs) in sediments collected from the 110 mile hole and along a transect from 58°58.32′N 1°10.38′W to the inner Moray Firth, Scotland , 2003 .

[15]  Charles Brochu,et al.  Determination of hydrocarbon sources using n-alkane and polyaromatic hydrocarbon distribution indexes: case study: Rio de La Plata Estuary, Argentina , 1989 .

[16]  R. Lucas,et al.  Characterizing tropical secondary forests using multi-temporal Landsat sensor imagery , 1993 .

[17]  P. Lam,et al.  Petroleum hydrocarbons and polycyclic aromatic hydrocarbons in the surficial sediments of Xiamen Harbour and Yuan Dan Lake, China. , 2004, Chemosphere.

[18]  E. Lambin,et al.  Land-Cover-Change Trajectories in Southern Cameroon , 2000 .

[19]  N. Myers,et al.  Conversion Of Tropical Moist Forests , 1980 .

[20]  D. L. Skole,et al.  A land cover change monitoring program: Strategy for an international effort , 1997 .

[21]  R. Barnes,et al.  Deforestation trends in tropical Africa , 1990 .

[22]  M. Reinhard,et al.  Petroleum-derived and indigenous hydrocarbons in recent sediments of Lake Zug, Switzerland , 1974 .

[23]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[24]  M. Fingas,et al.  Oil spill identification , 1999 .

[25]  William Salas,et al.  Physical and human dimensions of deforestation in Amazonia , 1994 .

[26]  N. Myers Conversion of tropical moist forests : a report prepared by Norman Myers for the Committee on Research Priorities in Tropical Biology of the National Research Council , 1980 .

[27]  J. Townshend,et al.  A new global 1‐km dataset of percentage tree cover derived from remote sensing , 2000 .

[28]  C. Justice,et al.  Impacts of simulated shifting cultivation on deforestation and the carbon stocks of the forests of central Africa , 2002 .

[29]  Doug Barnes,et al.  The Causes of Deforestation in Developing Countries , 1985 .

[30]  T. Wade,et al.  Partitioning of no. 2 fuel oil in controlled estuarine ecosystems. Sediments and suspended particulate matter , 1980 .

[31]  Scott J. Goetz,et al.  A new land cover map of central Africa derived from multi-resolution, multi-temporal AVHRR data , 1998 .

[32]  Christopher O. Justice,et al.  Central African forests, carbon and climate change , 2001 .

[33]  Ruth S. DeFries,et al.  Subpixel forest cover in central Africa from multisensor, multitemporal data , 1997 .

[34]  N. Myers Deforestation rates in tropical forests and their climatic implications : by Norman Myers , 1989 .

[35]  R. Macdonald,et al.  PAHs in the Fraser River basin: a critical appraisal of PAH ratios as indicators of PAH source and composition , 2002 .

[36]  R. Lucas,et al.  Identifying terrestrial carbon sinks: Classification of successional stages in regenerating tropical forest from Landsat TM data , 1996 .

[37]  John B. Adams,et al.  Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .

[38]  Eric F. Lambin,et al.  Spatial modelling of deforestation in southern Cameroon - Spatial disaggregation of diverse deforestation processes , 1997 .

[39]  R. Czaplewski,et al.  Can a sample of Landsat sensor scenes reliably estimate the global extent of tropical deforestation? , 2003 .

[40]  N. Laporte,et al.  Economic crisis, small-scale agriculture, and forest cover change in southern Cameroon , 2000, Environmental Conservation.

[41]  W. Salomons Long-term Strategies for Handling Contaminated Sites and Large-scale Areas , 1995 .

[42]  John R. G. Townshend,et al.  Strategies for monitoring tropical deforestation using satellite data , 2000 .

[43]  G. Witt Polycyclic aromatic hydrocarbons in water and sediment of the Baltic Sea , 1995 .

[44]  Louis R. Iverson,et al.  Rates and patterns of deforestation in the Philippines: application of geographic information system analysis , 1993 .

[45]  M. Bícego,et al.  Aliphatic and aromatic hydrocarbons in sediments of Santos and Cananéia, SP, Brazil. , 2001, Marine pollution bulletin.

[46]  C. Marrison,et al.  A preliminary analysis of the biomass energy production potential in Africa in 2025 considering projected land needs for food production. , 1996 .