Policy implications of a pan-tropic assessment of the simultaneous hydrological and biodiversity impacts of deforestation

  • Ellen M. Douglas
  • Stanley Wood
  • Kate Sebastian
  • Charles J. Vörösmarty
  • Kenneth M. Chomitz
  • Thomas P. Tomich


Tropical deforestation has many consequences, amongst which alteration of the hydrological cycle and loss of habitat and biodiversity are the focus of much public interest and scientific research. Here we examine the potential biodiversity and hydrological impacts of an extreme deforestation scenario — the loss of all tropical forest areas currently identified by the World Wildlife Fund as being threatened. Existing tropical forest areas are first classified according to two categories of biological distinctiveness — high and low — using indicators developed by the WWF. We apply the tropical deforestation scenario to a macroscale hydrologic model, keeping track of the share of change in basin runoff that originates from the deforestation of areas of high versus low biological distinctiveness and where that change could impact human populations. Of particular interest are those basins where loss of the most threatened tropical forest areas would give rise to significant biodiversity loss and to potentially large hydrological impacts. In such cases it is conceivable that biodiversity conservation could “free-ride” on the concerns of resident populations to maintain the forests for the purpose of minimizing hydrological change. Where such an outcome seems likely, biodiversity conservation efforts might be better targeted elsewhere, perhaps to basins where the loss of forest areas with high biological distinctiveness would have less population impacts, hence requiring an alliance between biological and hydrological interests to gain sufficient social and financial support for conservation.


Land Cover Tropical Forest Water Resour Manage Forest Biome World Wildlife Fund 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. Bailey, RG (1998) Ecoregions: the ecosystem geography of oceans and continents. Springer-Verlag, New YorkGoogle Scholar
  2. Bonell M, Balek J (1993) Recent scientific developments and research needs in hydrological processes. In: Bonell M, Hufschmidt M, Gladwell J (eds) Hydrology and water management in the humid tropics. Cambridge University Press, Cambridge, UKGoogle Scholar
  3. Bruinjzeel, LA (1990) Hydrology of moist tropical forests and effects of conversion: a state of knowledge review. UNESCO, International Hydrologic Programme, Paris, p 224Google Scholar
  4. Bruijnzeel LA (1991) Hydrological impacts of tropical forest conversion. Nat Resour 27(2):36–46Google Scholar
  5. Bruijnzeel LA (1996) Chapter 2 — Predicting the hydrological impacts of land cover transformation in the humid tropics: the need for more research. In: Gash JHC, Nobre CA (eds) Amazonian deforestation and climate. John Wiley & SonsGoogle Scholar
  6. Bruijnzeel LA (2004) Hydrological functions of tropical forests: not seeing the soil for the trees? Agriculture, ecosystems and the environment. Agr Ecosyst Environ 104:185–228CrossRefGoogle Scholar
  7. Bruijnzeel LA (2005) Tropical montane cloud forest: a unique hydrological case. In: Bonell M, Bruijnzeel LA (eds) Forests, water and people in the humid tropics: Past, present and future hydrological research for integrated land and water management. UNESCO International Hydrology Series, Cambridge University Press, UKGoogle Scholar
  8. Bruijnzeel LA, Bonell M, Gilmour DA, Lamb D (2005) Forests, water and people in the humid tropics: an emerging view. In: Bonell M, Bruijnzeel LA (eds) Forests, water and people in the humid tropics: Past, present and future hydrological research for integrated land and water management. UNESCO International Hydrology Series, Cambridge University Press, UKGoogle Scholar
  9. Bruinjzeel LA, Proctor J (1995) Hydrology and biogeochemistry of tropical montane cloud forests: what do we really know? In: Hamilton LS, Juvik JO, Scatena FN (eds) Tropical montane cloud forests, ecological studies 110. Springer Verlag, New YorkGoogle Scholar
  10. Bruinsma J (ed) (2003) World agriculture towards 2015/2030. Rome: Food and Agriculture OrganizationGoogle Scholar
  11. Calder IR (1990) Evaporation in the uplands. Wiley, New York, p 148Google Scholar
  12. Calder IR (2005) The blue revolution: land use and integrated water resources management. Earthscan, LondonGoogle Scholar
  13. Convention on Biological Diversity [CBD] (2002) Text of convention on biological diversity: Article 2 (1992). Available on-line at, (accessed October 20, 2005)Google Scholar
  14. Chomitz K, Kumari K (2005) The domestic benefits of tropical forest preservation: a critical review emphasizing hydrological functions. World Bank Res Obs 13(1):13–35Google Scholar
  15. CIESIN (2005) Global Urban-Rural Mapping Project, Center for International Earth Science Information Network (CIESIN), Columbia University,; accessed online on September 8, 2005Google Scholar
  16. Costa MH (2005) Large-scale hydrological impacts of tropical forest conversion. In: Bonell M, Bruijnzeel LA (eds) Forests, water and people in the humid tropics: past, present and future hydrological research for integrated land and water management. UNESCO International Hydrology Series, Cambridge University Press, UKGoogle Scholar
  17. Defries R, Hansen M, Townshend J (1995) Global discrimination of land cover types from metrics derived from AVHRR pathfinder data. Remote Sensing Environ 5–4:209–222CrossRefGoogle Scholar
  18. Dinerstein E, Olson DM, Graham DJ, Webster AL, Primm SA, Bookbinder MP, Ledec G (1995) A conservation assessment of the terrestrial ecoregions of Latin America and the Caribbean. World, Washington, D.C.Google Scholar
  19. Döll P, Siebert S (2000) A digital global map of irrigated areas. ICID J 49(2):55–66Google Scholar
  20. Douglas EM, Sebastian K, Vörösmarty CJ, Wood S (2005) The role of tropical forests in supporting biodiversity and hydrologic integrity. World Bank Policy Research Working Paper No. 3635, Social Science Research Network, Washington, DC, 2005. Available on-line at (accessed October 20, 2005)Google Scholar
  21. Dudley N, Stolton S (2003) Running pure. World Bank/WWF AllianceGoogle Scholar
  22. Elvidge CD, Imhoff ML, Baugh KE, Hobson VR, Nelson I, Safran J, Dietz JB, Tuttle BT (2001) Nighttime lights of the world: 1994–1995. ISPRS J Photogrammetry Remote Sensing 56:81–99CrossRefGoogle Scholar
  23. Federer CA, Vörösmarty C, Fekete B (2003) Sensitivity of annual evaporation to soil and root properties in two models of contrasting complexity. J. Hydrometeorology 4:1276–1290CrossRefGoogle Scholar
  24. Federer CA, Vörösmarty C, Fekete B (1996) Intercomparison of methods for calculating potential evaporation in regional and global water balance models. Water Resour Res 32(7):2315–2321CrossRefGoogle Scholar
  25. Fekete BM, Vörösmarty CJ, Lammers RB (2001) Scaling gridded river networks for macro scale hydrology: development, analysis, and control of error. Water Resour Res 3(77):1955–1967CrossRefGoogle Scholar
  26. FAO/ CIFOR (2005) Forests and floods: drowning in fiction or thriving on the facts? Bangkok, FAO. RAP Publication 2005/03Google Scholar
  27. Food and Agriculture Organization of the United Nations (FAO) (2001) Global Forest Resources Assessment 2000: Main Report, FAO Forestry Paper 140, Rome, ItalyGoogle Scholar
  28. Food and Agriculture Organization of the United Nations (FAO) (1995) Digital Soil Map of the World, Version 3.5. FAO, Rome, ItalyGoogle Scholar
  29. Global Land Cover [GLC] (2000) Available on-line at Accessed on October 20, 2005Google Scholar
  30. Global Land Cover Characteristics Database. Version 2.0 [GLCCD] (2001) Available online at: Scholar
  31. Global Soil Data Task (2000) Global Soil Data Products CD-ROM (IGBP-DIS). CD-ROM. International Geosphere-Biosphere Programme, Data and Information System, Potsdam, Germany. Available fromGoogle Scholar
  32. Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A. []Google Scholar
  33. Holdridge LR (1967) Life zone ecology. Tropical Science Center, San José (Costa Rica)Google Scholar
  34. International Food Policy Research Institute (2002) Global Agricultural Extent v2.0. Available online at: datasets.htmGoogle Scholar
  35. Jackson IJ (1975) Relationship between rainfall parameters and interception by tropical forests. J Hydrol 24:215–238CrossRefGoogle Scholar
  36. Jackson RB, Canadell J, Ehleringer JR, Mooney HA, Sala OE, Schulze ED (1996) A global analysis of root distributions for terrestrial biomes. Oecologia 108:389–411CrossRefGoogle Scholar
  37. Kiedon A, Heimann M (1998) A method of determining rooting depth from a terrestrial biosphere model and its impacts on the global water and carbon cycles. Global Change Biol 4(3):275–286CrossRefGoogle Scholar
  38. LandScan (2002) LandScan Global Population Database, Oak Ridge National Laboratory, Oak Ridge, TN. Available at Scholar
  39. Mace G (2003) Personal Communication related to work on the Millennium Ecosystem AssessmentGoogle Scholar
  40. Millennium Ecosystem Assessment (2005) Ecosystems and human well-being: synthesis. Island Press, Washington DCGoogle Scholar
  41. Melillo JM, McGuire AD, Kickligher DW, Moore B, Vörösmarty CJ, Schloss AL (1993) Global climate change and terrestrial net primary production. Nature 363:234–240CrossRefGoogle Scholar
  42. Monteith JL (1965) Evaporation and environment. In: The state and movement of water in living organisms. In: Proceedings of the 19th Symposium of the Society of Experimental Biology. Cambridge University Press, Cambridge, UK, pp 205–233Google Scholar
  43. New M, Hulme M, Jones P (1998) Representing twentieth century space-time climate variability, Part II: development of 1901–1996 monthly grids. J Clim 13:2217–2238CrossRefGoogle Scholar
  44. Olson DM, Dinerstein E, Wikramanayake ED, Burgess ND, Powell GVN, Underwood EC, D’Amico JA, Itoua I, Strand HE, Morrison JC, Loucks CJ, Allnutt TF, Ricketts TH, Kura Y, Lamoreux JF, Wettengel WW, Hedao P, Kassem KR (2001) Terrestrial ecoregions of the world: a new map of life on earth. Bio Science 51(11):935–938Google Scholar
  45. Oyebande L (1988) Effects of tropical forest on water yield. In: Reynolds E, Thompson F (eds) Forest, climate, and hydrology: regional impacts. The United Nations University, Kefford Press, SingaporeGoogle Scholar
  46. Ramankutty N (2003) Global grazing lands dataset. Center for sustainability and the global environment (SAGE). University of Wisconsin, Madison. Data made available through personal communicationGoogle Scholar
  47. Ricketts TH, Dinerstein E, Olson DM, Loucks CJ, Eichbaum W (1999) Terrestrial ecoregions of North America: a conservation assessment. Island Press, Washington, D.CGoogle Scholar
  48. Schulze ED, Kelliher FM, Korner C, Lloyd J, Leuning R (1994) Relationships among maximum stomatal conductance, ecosystem surface conductance, and carbon assimilation rate and plant nitrogen nutrition: a global ecology scaling exercise. Annu Rev Ecol Syst 25:629–660CrossRefGoogle Scholar
  49. Sebastian K, Douglas E, Wood S, Vörösmarty C (2003) Functional value of biodiversity: pantropic/mesoscale analysis and synthesis — Phase II Final Report. (unpublished). Washington, D.C.: World Bank. Scholar
  50. Shuttleworth JW, Wallace JS (1985) Evaporation from sparse crops: an energy combination theory. Q J R Meteorol Soc 111:839–855CrossRefGoogle Scholar
  51. Tomich, TP, Chomitz KM, Francisco H, Izac AMN, Murdiyarso D, Ratner BD, Thomas DE, van Noordwijk M (2004) Policy analysis and environmental problems at different scales: asking the right questions. Agric Ecosyst Envir 104:5–18CrossRefGoogle Scholar
  52. Udvardy MDE (1975) A classification of the biogeographical provinces of the world. Morges (Switzerland): International Union of Conservation of Nature and Natural Resources. IUCN Occasional Paper no. 18Google Scholar
  53. United Nations Educational, Scientific and Cultural Organization [UNESCO] (1969) A framework for a classification of world vegetation. UNESCO, ParisGoogle Scholar
  54. Vörösmarty CJ, Federer CA, Schloss AL (1998) Potential evaporation functions compared on US watersheds: possible implications for global-scale water balance and terrestrial ecosystem modeling. J Hydrol 207:147–169CrossRefGoogle Scholar
  55. World Conservation Monitoring Centre [WCMC] (1992) Global biodiversity: status of the earth’s living resources. Chapman and Hall, LondonGoogle Scholar
  56. Wikramanayake E, Dinerstein E, Loucks CJ, Olson DM, Morrison J, Lamoreaux J, et al (2000) Terrestrial ecoregions of the Indo-Pacific: a conservation assessment. Island Press, Washington, DC, p. 643Google Scholar
  57. Wood S, Sebastian K, Scherr SJ (2000) Pilot analysis of global ecosystems: agroecosystems. World Resources Institute/International Food Policy Research Institute. Washington D.CGoogle Scholar
  58. World Bank (2002) Sustainable development in a dynamic world: transforming institution, growth, and the quality of life. Oxford University Press, New York. World Development Report, Washington, DCGoogle Scholar
  59. Zeng XB (2001) Global vegetation root distribution for land modeling. J Hydrometeorol 2(5):525–530CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2006

Authors and Affiliations

  • Ellen M. Douglas
    • 1
  • Stanley Wood
    • 2
  • Kate Sebastian
    • 2
  • Charles J. Vörösmarty
    • 1
  • Kenneth M. Chomitz
    • 3
  • Thomas P. Tomich
    • 4
  1. 1.Water Systems Analysis Group, Institute for the Study of Earth, Oceans and SpaceUniversity of New HampshireDurhamUSA
  2. 2.International Food Policy Research InstituteWashington, DCUSA
  3. 3.Development Research GroupThe World BankWashington, DCUSA
  4. 4.Alternatives to Slash and Burn ProgramWorld Agroforestry CentreNairobiKenya

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