Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucurui hydroelectric dam in the Amazon basin

被引:64
作者
Chen, Gang [1 ]
Powers, Ryan P. [2 ]
de Carvalho, Luis M. T. [3 ]
Mora, Brice [4 ]
机构
[1] Univ N Carolina, Dept Geog & Earth Sci, Charlotte, NC 28223 USA
[2] Yale Univ, Dept Ecol & Evolutionary Biol, New Haven, CT 06520 USA
[3] Univ Fed Lavras, Dept Forest Sci, BR-37200000 Lavras, Brazil
[4] Univ Wageningen & Res Ctr, Global Observat Forest Cover & Land Dynam GOFC GO, Land Cover Project Off, NL-6700 AA Wageningen, Netherlands
基金
加拿大自然科学与工程研究理事会;
关键词
Deforestation; Forest degradation; Hydroelectric dam; Spatiotemporal pattern; Amazon basin; Remote sensing; GIS; Statistical analysis; COVER; DISTURBANCE; VEGETATION; RESERVOIR; IMPACTS; DECLINE; REGIONS;
D O I
10.1016/j.apgeog.2015.06.001
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
The planned construction of hundreds of hydroelectric dams in the Amazon basin has the potential to provide invaluable 'clean' energy resources for aiding in securing future regional energy needs and continued economic growth. These mega-structures, however, directly and indirectly interfere with natural ecosystem dynamics, and can cause noticeable tree loss. To improve our understanding of how hydroelectric dams affect the surrounding spatiotemporal patterns of forest disturbances, this case study integrated remote sensing spectral mixture analysis, GIS proximity analysis and statistical hypothesis testing to extract and evaluate spatially-explicit patterns of deforestation (clearing of entire forest patch) and forest degradation (reduced tree density) in the 80,000 km(2) neighborhoods of the Brazil's Tucurui Dam, the first large-scale hydroelectric project in the Amazon region, over a period of 25 years from 1988 to 2013. Results show that the average rates of deforestation were consistent during the first three time periods 1988-1995 (620 km(2) per year), 1995-2001 (591 km(2) per year), and 2001-2008 (660 km(2) per year). However, such rate dramatically fell to half of historical levels after 2008, possibly reflecting the 2008 global economic crisis and enforcement of the Brazilian Law of Environmental Crimes. The rate of forest degradation was relatively stable from 1988 to 2013 and, on average, was 17.8% of the rate of deforestation. Deforestation and forest degradation were found to follow similar spatial patterns across the dam neighborhoods, upstream reaches or downstream reaches at the distances of 5 km-80 km, suggesting that small and large-scale forest disturbances may have been influencing each other in the vicinity of the dam. We further found that the neighborhoods of the Tucuruf Dam and the upstream region experienced similar degrees of canopy loss. Such loss was mainly attributed to the fast expansion of the Tucurui town, and the intensive logging activities alongside major roads in the upstream reservoir region. In contrast, a significantly lower level of forest disturbance was discovered in the downstream region. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 38 条
  • [1] Wood decomposition in Amazonian hydropower reservoirs: An additional source of greenhouse gases
    Abril, Gwenael
    Parize, Marcelo
    Perez, Marcela A. P.
    Filizola, Naziano
    [J]. JOURNAL OF SOUTH AMERICAN EARTH SCIENCES, 2013, 44 : 104 - 107
  • [2] [Anonymous], SOURC METH PROC MON
  • [3] Selective logging in the Brazilian Amazon
    Asner, GP
    Knapp, DE
    Broadbent, EN
    Oliveira, PJC
    Keller, M
    Silva, JN
    [J]. SCIENCE, 2005, 310 (5747) : 480 - 482
  • [4] Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations
    Asner, GP
    Heidebrecht, KB
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2002, 23 (19) : 3939 - 3958
  • [5] Automated mapping of tropical deforestation and forest degradation: CLASlite
    Asner, Gregory P.
    Knapp, David E.
    Balaji, Aravindh
    Paez-Acosta, Guayana
    [J]. JOURNAL OF APPLIED REMOTE SENSING, 2009, 3
  • [6] Understanding the impacts of the 2007-08 Global Financial Crisis on sustainable forest management in the Brazilian Amazon: A case study
    Canova, Natalia P.
    Hickey, Gordon M.
    [J]. ECOLOGICAL ECONOMICS, 2012, 83 : 19 - 31
  • [7] Automatic radiometric normalization of multitemporal satellite imagery
    Canty, MJ
    Nielsen, AA
    Schmidt, M
    [J]. REMOTE SENSING OF ENVIRONMENT, 2004, 91 (3-4) : 441 - 451
  • [8] Lidar calibration and validation for geometric-optical modeling with Landsat imagery
    Chen, Gang
    Wulder, Michael A.
    White, Joanne C.
    Hilker, Thomas
    Coops, Nicholas C.
    [J]. REMOTE SENSING OF ENVIRONMENT, 2012, 124 : 384 - 393
  • [9] City Population, 2014, POP DEV TUC
  • [10] Do hydroelectric dams mitigate global warming? The case of Brazil's Curuá-Una Dam
    Fearnside P.M.
    [J]. Mitigation and Adaptation Strategies for Global Change, 2005, 10 (4) : 675 - 691