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Cited by 612

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GLOBIO3: A Framework to Investigate Options for Reducing Global Terrestrial Biodiversity Loss

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Alkemade, Rob, van Oorschot, Mark, Miles, Lera, Nellemann, Christian, Bakkenes, Michel, ten Brink, Ben·2009·Ecosystems
DOI 10.1007/s10021-009-9229-5
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Abstract

The GLOBIO3 model has been developed to assess human-induced changes in biodiversity, in the past, present, and future at regional and global scales. The model is built on simple cause–effect relationships between environmental drivers and biodiversity impacts, based on state-of-the-art knowledge. The mean abundance of original species relative to their abundance in undisturbed ecosystems (MSA) is used as the indicator for biodiversity. Changes in drivers are derived from the IMAGE 2.4 model. Drivers considered are land-cover change, land-use intensity, fragmentation, climate change, atmospheric nitrogen deposition, and infrastructure development. GLOBIO3 addresses (i) the impacts of environmental drivers on MSA and their relative importance; (ii) expected trends under various future scenarios; and (iii) the likely effects of various policy response options. GLOBIO3 has been used successfully in several integrated regional and global assessments. Three different global-scale policy options have been evaluated on their potential to reduce MSA loss. These options are: climate-change mitigation through expanded use of bio-energy, an increase in plantation forestry, and an increase in protected areas. We conclude that MSA loss is likely to continue during the coming decades. Plantation forestry may help to reduce the rate of loss, whereas climate-change mitigation through the extensive use of bioenergy crops will, in fact, increase this rate of loss. The protection of 20% of all large ecosystems leads to a small reduction in the rate of loss, provided that protection is effective and that currently degraded protected areas are restored.

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Research works printed but not linked: 51

  1. Alcamo J, Leemans R, Kreileman E (eds.). 1998. Global change scenarios of the 21st century. Results from the IMAGE 2.1 model. Elsevier Science, Oxford, 296 pp.
  2. Allen CR, Pearlstine LG, Kitchens WM. 2001. Modeling viable populations in gap analyses. Biol Conserv 99:135–144. · doi:10.1016/s0006-3207(00)00084-7
  3. Araújo MB, New M. 2006. Ensemble forecasting of species distributions. Trends Ecol Evol 22(1):42–47. · DOI · Paper page
  4. Araujo MB, Thuiller W, Pearson RG. 2006. Climate warming and the decline of amphibians and reptiles in Europe. J Biogeogr 33:1712–1728. · DOI · Paper page
  5. Bakkenes M, Alkemade JRM, Ihle F, Leemans R, Latour JB. 2002. Assessing effects of forecasted climate change on the diversity and distribution of European higher plants for 2050. Glob Chang Biol 8:390–407. · DOI · Paper page
  6. Bakkenes M, Eickhout B, Alkemade R. 2006. Impacts of different climate stabilisation scenarios on plant species in Europe. Glob Environ Change 16:19–28. · DOI
  7. Bender DJ, Contreras TA, Fahrig L. 1998. Habitat loss and population decline: a meta-analysis of the patch size effect. Ecology 79:517–533. · DOI · Paper page
  8. Bouwman AF, Van Vuuren DP, Derwent RG, Posch M. 2002. A global analysis of acidification and eutrophication of terrestrial ecosystems. Water Air Soil Pollut 141:349–382. · DOI · Paper page
  9. Brown C. 2000. The global outlook for future wood supply from forest plantations. In: Working Paper No GFPOS/WP/03. FAO, Rome, p 141.
  10. de Heer M, Kapos V, Ten Brink BJE. 2005. Biodiversity trends in Europe: development and testing of a species trend indicator for evaluating progress towards the 2010 target. Phil Trans R Soc B 360:297–308. · DOI
  11. DMA. 1992. Digital Chart of the World. Defense Mapping Agency, Fairfax, Virginia.
  12. Duellman, WE (ed) 1999. Patterns of distribution of amphibians: a global perspective. John Hopkins University Press, Baltimore, USA.
  13. Faith DP, Ferrier S, Williams KJ. 2008. Getting biodiversity intactness indices right: ensuring that ‘biodiversity’ reflects ‘diversity’. Glob Chang Biol 14:207–21. · DOI
  14. Fritz S, See L. 2008. Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications. Glob Chang Biol. Available from: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2486.2007.01519.x (online early) · DOI
  15. Gaston KJ, Blackburn TM, Klein Goldewijk K. 2003. Habitat conversion and global avian biodiversity loss. Proc R Soc Lond B 270:1293–1300 · DOI · Paper page
  16. Guisan A, Zimmermann NE. 2000. Predictive habitat distribution models in ecology. Ecol Modell 135:147–186. · DOI · Paper page
  17. Hannah L, Lohse D, Hutchinson C, Carr JL, Lankerani A. 1994. A preliminary Inventory of Human Disturbance of world ecosystems. Ambio 23:246–250.
  18. Hui D, Biggs R, Scholes RJ, Jackson RB. 2008. Measuring uncertainty in estimates of biodiversity loss: the example of biodiversity intactness variance. Biol Conserv 141:1091–1094. · DOI
  19. IMAGE-team. 2001. The IMAGE 2.2 implementation of the SRES scenarios. CD-ROM publication 481508018, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  20. Imhoff ML, Bounoua L, Ricketts T, Loucks C, Hariss R, Lawrence WT. 2004. Global patterns in human consumption of the net primary production. Nature 429:870–873. · DOI · Paper page
  21. IPCC. 2007. Climate Change 2007—The Physical Science basis: contribution of working group 1 to the fourth assessment report of the IPCC. Cambridge University Press, UK.
  22. Leemans R, Eickhout B. 2004. Another reason for concern: regional and global impact of ecosystems for different levels of climate change. Glob Environ Change A 14:219–228. · DOI · Paper page
  23. MA. 2003. Ecosystems and Human Well-being, A framework for assessment. In. Island Press, Washington, Covelo, London.
  24. MA 2005. Millennium Ecosystem assessment. Ecosystems and Human Well-being: Scenarios, Volume 2. Island Press, Washington, DC.
  25. Majer JD, Beeston G. 1996. The Biodiversity Integrity Index: an illustration using ants in Western Australia. Conserv Biol 10:65–73. · doi:10.1046/j.1523-1739.1996.10010065.x
  26. McKee JK, Sciulli PW, Fooce CD, Waite TA. 2003. Forecasting global biodiversity threats associated with human population growth. Biol Conserv 115:161–164. · DOI · Paper page
  27. Metz B, Van Vuuren DP. 2006. How, and at what costs, can low-level stabilsation be achieved?—An overview. In: Avoiding Dangerous Climate Change. Cambridge University Press, Cambridge.
  28. Nakicenovic N, Alcamo J, Davis G, De Vries B., Fenhann J, Gaffin S, Gregory K, Grübler A, Jung TY, Kram T, Rovere EEl, Michaelis L, Mori S, Morita T, Pepper W, Pitcher H, Price L, Riahi K, Roehrl A, Rogner H, Sankovski A, Schlesinger M, Shukla P, Smith S, Swart R, Van Rooyen S., Victor N, Dadi Z. 2000. Special Report on Emissions Scenarios. Cambridge University Press, Cambridge.
  29. Nellemann C. (ed.). 2004. The fall of the water. United Nations Environmental Programme -GRID Arendal, Norway.
  30. Nichols E, Larsen T, Spector S, Davis AL, Escobar F, Favila M, Vulinec K, The Scarabaeinae Research Network. 2007. Global dung beetle response to tropical forest modification and fragmentation: a quantitative literature review and meta-analysis. Biol Conserv 137:1–19. · DOI · Paper page
  31. OECD. 2008. Environmental Outlook to 2030. Organisation fro Economic Cooperation and Development, Paris, France. · DOI · Paper page
  32. Olson DM, Dinerstein E. 1998. The Global 200: A Representation Approach to Conserving the Earth’s Most Biologically Valuable Ecoregions. Conserv Biol 12(3):502–515. · DOI · Paper page
  33. Osenberg CW, Sarnelle O, Cooper SD, Holt RD. 1999. Resolving ecological questions through meta-analysis: goals, metrics and models. Ecology 80:1105–1117. · DOI · Paper page
  34. Peterson AT, Ortega Huerrta MA, Bartley J, Sanchez Cordero V, Buddemeier RH, Stockwell DRB. 2002. Future projections for Mexican faunas under global climate change scenarios. Nature 416:626–629. · DOI · Paper page
  35. Petit S, Firbank L, Wytt B, Howard D. 2001. MIRABEL: Models for Integrated review and assessment of biodiversity in European landscapes. Ambio 30:81–88. · DOI
  36. Prentice C, Cramer W, Harrison SP, Leemans R, Monserud RA, Solomon AM. 1992. A global biome model based on plant physiology and dominance, soil properties and climate. J Biogeogr 19:117–134. · DOI · Paper page
  37. Ricketts TH, Dinerstein E, Boucher T, Brooks TM, Butchart SH, Hoffmann M, Lamoreux JF, Morrison J, Parr M, Pilgrim JD, Rodrigues AS, Sechrest W, Wallace GE, Berlin K, Bielby J, Burgess ND, Church DR, Cox N, Knox D, Loucks C, Luck GW, Master LL, Moore R, Naidoo R, Ridgely R, Schatz GE, Shire G, Strand H, Wettengel W, Wikramanayake E. 2005. Pinpointing and preventing imminent extinctions. Proc Natl Acad Sci USA 102(51):18497–18501. · DOI · Paper page
  38. Sanderson EW, Jaiteh M, Levy MA, Redford KH, Wannebo AV, Woolmer G. 2002. The human footprint and the last of the wild. Bioscience 52:891–904. · DOI · Paper page
  39. Stattersfield, AJ, Crosby, MJ, Long, AJ, Wege, DC. 1998. Endemic bird areas of the world. Birdlife International, Cambridge, UK.
  40. Thuiller, W., O. Broennimann, G. Hughes, JRM Alkemade, GF Midgley, F. Corsi. 2006. Vulnerability of African mammals to anthropogenic climate change under conservative land transformation assumptions. Glob Chang Biol 12:424–440. · DOI · Paper page
  41. UNEP. 2001. GLOBIO. Global methodology for mapping human impacts on the biosphere. In: Report UNEP/DEWA/TR 25. United Nations Environmental Programme, Nairobi.
  42. UNEP. 2002a. Decision VI/26: strategic plan for the convention on biological diversity. In: Seventh conference of the parties to the convention on biological diversity, The Hague, 2002
  43. UNEP. 2002b. Global Environment Outlook 3. Earthscan Publications Ltd., London.
  44. UNEP. 2004. Decisions adopted by the conference of the parties to the convention on biological diversity at its seventh meeting (UNEP/CBD/COP/7/21/Part 2), decision VII/30 (CBD 2004). http://www.biodiv.org/decisions/
  45. UNEP. 2006. Global Deserts Outlook. Division of early Warning and Assessment, United Nations Environmental Programme, Nairobi, Kenya.
  46. UNEP. 2007. Global Environmental Outlook 4. Environment for Development. United Nations Environmental Programme, Nairobi, Kenya.
  47. UNEP/RIVM. 2004. The GEO-3 Scenarios 2002-2032: Quantification and analysis of environmental impacts. In: Report UNEP/DEWA/RS03-04; RIVM 402001022. Division of Early Warning and Assessment. DEWA-UNEP./National Institute for Public Health and the Environment. RIVM., Nairobi, Kenya; Bilthoven, The Netherlands, p 216.
  48. Venables WN, Ripley BD. 1999. Modern Applied Statistics with S-PLUS, 3rd Edition Springer-Verlag, New York. · DOI · Paper page
  49. Verboom J, Alkemade R, Klijn J, Metzger MJ, Reijnen R. 2007. Combining biodiversity modeling with political and economical development scenarios for 25 countries. Ecol Econ 62:267–276. · DOI
  50. Wackernagel M, Schulz NB, Deumling D, Callejas Linares A, Jenkins M, Kapos V, Monfreda C, Loh J, Myers N, Norgaard R, Randers J. 2002. Tracking the ecological overshoot of the human economy. PNAS 99:9266–9271. · DOI · Paper page
  51. Woodroffe R, Ginsberg JR. 1998. Edge effects and the extinction of populations inside protected areas. Science 280:2126–2128. · DOI · Paper page

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Metadata

Authors
Alkemade, R., van Oorschot, M., Miles, L., Nellemann, C., Bakkenes, M., & ten Brink, B.
Venue
Ecosystems
Publisher
Springer Science and Business Media LLC
Published
2009-02-13
Volume
12
Issue
3
Pages
374-390
ISSN
  • 1432-9840 (ISSN-L)
  • 1435-0629
DOI
10.1007/s10021-009-9229-5
OpenAlex
W2035279307
Cited by
612
References
8
FWCI
23.95
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: GLOBIO3: A Framework to Investigate Options for Reducing Global Terrestrial Biodiversity Loss. https://app.cochat.ai/papers/10.1007/s10021-009-9229-5
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Alkemade, R., van Oorschot, M., Miles, L., Nellemann, C., Bakkenes, M., & ten Brink, B. (2009). GLOBIO3: A Framework to Investigate Options for Reducing Global Terrestrial Biodiversity Loss. Ecosystems. https://doi.org/10.1007/s10021-009-9229-5

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