Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucuruí hydroelectricdam in the Amazon basin

Applied Geography

Volumn 63, Issue , 2015, Pages 1-8

  Chen, Gang ^a   Powers, Ryan P ^b   de Carvalho, Luis M T ^c   Mora, Brice ^d  

^a UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

^b YALE UNIVERSITY   (United States)

^c FEDERAL UNIVERSITY OF LAVRAS   (Brazil)

^d WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Amazon basin; Deforestation; Forest degradation; GIS; Hydroelectric dam; Remote sensing; Spatiotemporal pattern; Statistical analysis

Indexed keywords

DAM; DEFORESTATION; DEGRADATION; GIS; HYDROELECTRIC POWER; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; STATISTICAL ANALYSIS; TROPICAL FOREST;

AMAZON BASIN; BRAZIL; PARA [BRAZIL]; TUCURUI LAKE;

EID: 84931262999     PISSN: 01436228     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeog.2015.06.001     Document Type: Article

References (40)

1. Abril G., Parize M., Pérez M.A.P., Filizola N. Wood decomposition in Amazonian hydropower reservoirs: an additional source of greenhouse gases. Journal of South American Earth Sciences 2013, 44:104-107.
2. Asner G.P., Heidebrecht K.B. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: comparing multispectral and hyperspectral observations. International Journal of Remote Sensing 2002, 23:3939-3958.
3. Asner G.P., Knapp D.E., Balaji A., Páez-Acosta G. Automated mapping of tropical deforestation and forest degradation: CLASlite. Journal of Applied Remote Sensing 2009, 3(1):033543.
4. Asner G.P., Knapp D.E., Broadbent E.N., Oliveira P.J.C., Keller M., Silva J.N. Selective logging in the Brazilian Amazon. Science 2005, 310:480-482.
5. Canova N.P., Hickey G.M. Understanding the impacts of the 2007-08 global financial crisis on sustainable forest management in the Brazilian Amazon: a case study. Ecological Economics 2012, 83:19-31.
6. Canty M.J., Nielsen A.A., Schmidt M. Automatic radiometric normalization of multitemporal satellite imagery. Remote Sensing of Environment 2004, 91:441-451.
7. Chen G., Wulder M.A., White J.C., Hilker T., Coops N.C. Lidar calibration and validation for geometric-optical modeling with landsat imagery. Remote Sensing of Environment 2012, 124:384-393.
8. City Population The population development of Tucuruí 2014, Available online. http://www.citypopulation.de/php/brazil-para.php?adm2id=M1508100.
9. Fearnside P.M. Greenhouse gas emissions from a hydroelectric reservoir (Brazil's Tucuruí dam) and the energy policy implications. Water Air Soil Pollut. 2002, 133:69-96.
10. Fearnside P.M. Do hydroelectric dams mitigate global warming? the case of Brazil's Curuá Una dam. Mitigation and Adaptation Strategies for Global Change 2005, 10:675-691.
11. Ferreira L.V., Cunha D.A., Chaves P.P., Matos D.C.L., Parolin P. Impacts of hydroelectric dams on alluvial riparian plant communities in eastern Brazilian Amazonian. Annals of the Brazilian Academy of Sciences 2013, 85:1013-1023.
12. Finer M., Jenkins C.N. Proliferation of hydroelectric dams in the Andean Amazon and implications for Andes-Amazon connectivity. PLoS One 2012, 7:e35126.
13. Ford C.R., Brooks Rene J. Detecting forest stress and decline in response to increasing river flow in southwest Florida, USA. Forest Ecology and Managementrest 2002, 160:45-64.
14. Fuller J.L., Foster D.R., McLachlan J.S., Drake N. Impact of human activity on regional forest composition and dynamics in central New England. Ecosystems 1998, 1:76-95.
15. Gerwing J.J. Degradation of forests through logging and fire in the eastern Brazilian Amazon. Forest Ecology and Management 2002, 157:131-141.
16. Gibson L., Lee T.M., Koh L.P., Brook B.W., Gardner T.A., Barlow J., et al. Primary forests are irreplaceable for sustaining tropical biodiversity. Nature 2011, 478:378-381.
17. Goetz S.J., Baccini A., Laporte N.T., Johns T., Walker W., Kellndorfer J., et al. Mapping and monitoring carbon stocks with satellite observations: a comparison of methods. Carbon Balance and Management 2009, 4:2.
18. GOFC-GOLD Asourcebook of methods and procedures for monitoring and reporting anthropogenic greenhouse gas emissions and removals associated with deforestation, gains and losses of carbon stocks in forests remaining forests, and forestation 2014, GOFC-GOLD Report version COP20-1, GOFC-GOLD Land Cover Project Office, Wageningen University, The Netherlands.
19. Government of Brazil Brazilian law of environmental crimes (Law No. 9.605 of February 12, 1998) 1998, Available online (in Portuguese). http://www.planalto.gov.br/ccivil_03/leis/l9605.htm.
20. Government of Brazil Administrative environmental misdemeanours law (Decree No. 6.514 of July 22, 2008) 2008, Available online (in Portuguese). http://www.planalto.gov.br/ccivil_03/_ato2007-2010/2008/decreto/D6514.htm.
21. Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A., Tyukavina A., et al. High-resolution global maps of 21st-century forest cover change. Science 2013, 342:850-853.
22. Herold M., Román-Cuesta R.M., Heymell V., Hirata Y., Van Laake P., Asner G.P., et al. Areview of methods to measure and monitor historical carbon emissions from forest degradation. Unasylva 2011, 238(62):16-24.
23. Hollander M., Wolfe D.A. Nonparametric statistical methods 1999, John Wiley & Sons, Inc, Hoboken, NJ.
24. Horton J.L., Clark J.L. Water table decline alters growth and survival of Salix gooddingii and Tamarix chinensis seedlings. Forest Ecology and Management 2001, 140(2-3):239-247.
25. Kennedy R.E., Yang Z., Cohen W.B. Detecting trends in forest disturbance and recovery using yearly landsat time series: 1. LandTrendr - temporal segmentation algorithms. Remote Sensing of Environment 2010, 114:2897-2910.
26. La Rovere E.L., Mendes F.E. Tucuruí hydropower complex, Brazil, A WCD case study prepared as an input to the World Commission on Dams, Cape Town 2000, Available online. http://www.internationalrivers.org/files/attached-files/csbrmain.pdf.
27. Lambin E.F. Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography 1997, 21:375-393.
28. Manyari W.V., de Carvalho O.A. Environmental considerations in energy planning for the Amazon region: downstream effects of dams. Energy Policy 2007, 35(12):6526-6534.
29. Nepstad D., Soares-filho B.S., Merry F., Lima A., Moutinho P., Carter J., et al. The end of deforestation in the Brazilian Amazon. Science 2009, 36:1350-1351.
30. Palmeirim A.F., Peres C.A., Rosas F.C.W. Giant otter population responses to habitat expansion and degradation induced by a mega hydroelectric dam. Biological Conservation 2014, 174:30-38.
31. Pan Y., Birdsey R.A., Fang J., Houghton R., Kauppi P.E., Kurz W.A., et al. Alarge and persistent carbon sink in the world's forests. Science 2011, 333:988-993.
32. Porvari P. Mercury levels of fish in Tucuruí hydroelectric reservoir and in river Mojú in Amazonia, in the state of Pará, Brazil. Science of the Total Environment 1995, 175:109-117.
33. Raksuntorn N., Du Q. Nonlinear spectral mixture analysis for hyperspectral imagery in an unknown environment. IEEE Geoscience and Remote Sensing Letters 2010, 7:836-840.
34. Roy D.P., Wulder M.A., Loveland T.R., Woodcock C.E., Allen R.G., Anderson M.C., et al. Landsat-8: science and product vision for terrestrial global change research. Remote Sensing of Environment 2014, 145:154-172.
35. Saatchi S.S., Harris N.L., Brown S., Lefsky M., Mitchard E.T.A., Salas W., et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences of the United States of America 2011, 108:9899-9904.
36. Souza C., Firestone L., Silvaa L.M., Roberts D. Mapping forest degradation in the eastern Amazon from SPOT 4 through spectral mixture models. Remote Sensing of Environment 2003, 87:494-506.
37. Stave J., Oba G., Stenseth N.C., Nordal I. Environmental gradients in the Turkwel riverine forest, Kenya: hypotheses on dam-induced vegetation change. Forest Ecology and Management 2005, 212:184-198.
38. Tundisi J.G., Goldemberg J., Matsumura-Tundisi T., Saraiva A.C.F. How many more dams in the Amazon?. Energy Policy 2014, 74:703-708.
39. Uriarte M., Canham C.D., Thompson J., Zimmerman J.K., Murphy L., Sabat A.M., et al. Natural and human disturbance land use as determinants of tropical forest results from a forest simulator dynamics: results from a forest simulation. Ecological Monographs 2009, 79:423-443.
40. Vermote E.F., Tanre D., Deuze J.L., Herman M., Morcrette J.-J. Second simulation of the satellite signal in the solar spectrum, 6S: an overview. IEEE Transactions on Geoscience and Remote Sensing 1997, 35:675-686.