What drives conversion of tropical forest in Carrasco Province, Bolivia?

Ambio

Volumn 35, Issue 2, 2006, Pages 81-85

  Van Gils, Hein A M J ^a   Loza Armand Ugon, Analia V ^b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b UNIVERSIDAD MAYOR DE SAN SIMÓN   (Bolivia)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL LAND; SATELLITE IMAGERY; SPATIAL DATA; TOPOGRAPHY; TROPICAL FOREST;

AGRICULTURE; ARTICLE; BOLIVIA; TREE; TROPIC CLIMATE;

AGRICULTURE; BOLIVIA; TREES; TROPICAL CLIMATE;

BOLIVIA; CARRASCO; COCHABAMBA [BOLIVIA]; SOUTH AMERICA;

EID: 33646466485     PISSN: 00447447     EISSN: None     Source Type: Journal    
DOI: 10.1579/0044-7447(2006)35[81:WDCOTF]2.0.CO;2     Document Type: Article

References (16)

1. Myers, N. 1993. Tropical forests: the main deforestation fronts. Environ. Conserv. 20, 9-16.
2. Steiniger, M.K., Tucker, C.J., Townsend, J.R.G., Killeen, T.J., Desch, A., Bell, V. and Ersts, P. 2001. Tropical deforestation in the Bolivian Amazon. Environ. Conserv. 28, 127-135.
3. Geist, H.J. and Lambin, E.F. 2001. What Drives Tropical Deforestation? A Meta-analysis of Proximate and Underlying Causes of Deforestation Based on Subnational Case Study Evidence. LUCC Report Series 4; CIACO, Louvian-la-Neuve, 116 pp.
4. Viňa, A., Echavarria, F.R. and Rundquist, D.C. 2004. Satellite change detection analysis of deforestation rates and patterns along the Colombia-Ecuador border. Ambio 33, 118-125.
5. Uusivuori, J., Lehto, E. and Palo, M. 2002. Population, income and ecological conditions as determinants of forest area variation in the tropics. Global Environ. Change 12, 313-323.
6. Barbier, E.B. 2001. The economics of tropical deforestation and land use: an introduction to the special issue. Land Econ. 77, 155-171.
7. Wunder, S. 2000. The Economics of Deforestation: The Example of Ecuador. Macmillan Press, London, 262 pp.
8. Feder, G. and Nishio, A. 1999. The benefits of land registration and land titling: economic and social perspectives. Land Use Policy 15, 25-43.
9. Kerle, N., Janssen, L. and Huurneman, G. (eds.). 2004. Principles of Remote Sensing. ITC Educational Textbook Series 2, Enschede, The Netherlands, 250 pp.
10. FAO 2001. Global forest resources assessment 2000. FAO Forestry Papers 140, 366 pp.
11. Fox, J. 1997. Applied regression analysis: linear models and related methods. Sage, Thousand Oaks, CA, 597 pp.
12. Fox, J. 2002. An R and S-Plus companion to applied regression. Sage, Thousand Oaks, CA, 162 pp.
13. Pontius, R.G. and Schneider, L. 2001. Land use change model validation by a ROC method. Agric. Ecosys. Environ. 85, 239-248.
14. Pradhan, A.S. and Parks, P.J. 1995. Environmental and socio-economic linkages of deforestation and forest land use change in the Nepal Himalaya. In: Property Rights in a Social and Ecological Context. Hanna, S. and Munasinghe, M. (eds). Beijer International Institute of Ecological Economy and the World Bank, Washington, DC, 167-181.
15. Dr. David G. Rossiter (ITC, Enschede) is acknowledged for his expert advice on modeling and reclassification of the soil-mapping units. We are grateful to the two anonymous referees for their stimulating comments on our first submission. Eduardo Westinga (ITC, Enschede) formatted the satellite images analysis (done in ILWIS) outputs into compatible ArcGIS input. The geodata layers underlying the three figures have been kindly supplied by Patrick van Laacke (ITC, Enschede).
16. First submitted 16 Dec. 2004. Accepted for publication 13 May 2005.