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References

  • Ackerly DD, Dudley SA, Sultan SE et al. (2000) The evolution of plant ecophysiological traits: recent advances and future directions. BioScience, 50, 979995.
  • Achten WMJ, Maes WH, Aerts R et al. (2010) Jatropha: from global hype to local opportunity. Journal of Arid Environments, 1, 164165.
  • Achten WMJ, Verchot L, Franken YJ et al. (2008) Jatropha bio-diesel production and use. Biomass and Bioenergy, 32, 10631084.
  • Araujo MB, Whittaker RJ, Ladle RJ, Erhard M. (2005) Reducing uncertainty in projections of extinction risk from climate change. Global Ecology and Biogeography, 14, 529538.
  • Biswas S, Kaushik N, Srikanth G (2006) Biodiesel: technology and business opportunities – an insight. In: Proceedings of the Biodiesel Conference Toward Energy Independence—Focus of Jatropha (eds SinghB, SwaminathanR, PonrajV), pp. 303330. Rashtrapati Bhawan, New Delhi, India.
  • Bondeau A, Smith PC, Zaehle S et al. (2007) Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13, 679706.
  • Boyer JS (1982) Plant productivity and environment. Science, 218, 443448.
  • Brisson N, Gary C, Justes E (2003) An overview of the crop model STICS. European Journal of Agronomy, 18, 309332.
  • Bruijnzeel LA, Proctor J (1995) Hydrology and biogeochemistry of tropical montane cloud forests: what do we really know? In: Tropical Montane Cloud Forests (eds HamiltonLS, JuvikJO, ScatenaFN), pp. 3878. Springer-Verlag, New York.
  • Burnham KP, Anderson DR (2002) Model Selection and Multi-Model Inference. A Practical Information—Theoretic Approach, 2 edn. Springer-Verlag, Heidelberg.
  • Chapman DG (1961) In: Proceedings of 4th Berkeley Symposium on Mathematical Statistics and Probability, Vol. 4 (ed. NeymanJ), pp. 153168. Berkeley, CA.
  • Daey Ouwens K, Francis G, Franken YJ et al. (2007) Position paper on Jatropha curcas. State of the art, small and large scale project development. Fact Foundation.
  • Elith J, Graham CH, Anderson RP et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography, 29, 129151.
  • Fairless D (2007) Biofuel: the little shrub that could – maybe. Nature, 449, 652655.
  • FAO (1983) Guidelines: Land Evaluation for Rainfed Agriculture. FAO, Rome.
  • FAO (1985) Guidelines: Land Evaluation for Irrigated Agriculture. FAO, Rome.
  • Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 3849.
  • Foidl N, Foidl G, Sanchez M, Mittelbach M, Hackel S (1996) Jatropha curcas L. as a source for the production of biofuel in Nicaragua. Bioresource Technology, 58, 7782.
  • Forget PM, Lambert JE, Hulme PE, Vander Wall SB (2005) Seed Fate Predation, Dispersal, and Seedling Establishment. CABI Pub., Wallingford, Oxfordshire, UK.
  • Gallup JK, Sachs JD. (2000) Agriculture, climate, and technology: why are the Tropics Falling Behind? American Journal of Agricultural Economics, 82, 731737.
    Direct Link:
  • Gaston KJ, Borges Pa, He F, Gaspar C (2006) Abundance, spatial variance and occupancy: arthropod species distribution in the Azores. The Journal of Animal Ecology, 75, 646656.
  • GEXSI (2008) Global market study on Jatropha– final report. GEXSI LLP, Berlin, Germany:
  • Global Gazetteer (2006) Global gazetteer, version 2.2. Falling Rain Genomics Inc. Database. Available at: http://www.fallingrain.com/world/index.html (accessed 1 December 2008).
  • Graham CH, Elith J, Hijmans RJ, Guisan A, Peterson AT, Loiselle BA (2008) The influence of spatial errors in species occurrence data used in distribution models. Journal of Applied Ecology, 45, 239247.
  • Gray JM, Humphreys GS, Deckers JA (2009) Relationships in soil distribution as revealed by a global soil database. Geoderma, 150, 309323.
  • Gunaseelan VN (2009) Biomass estimates, characteristics, biochemical methane potential, kinetics and energy flow from Jatropha curcas on dry lands. Biomass Bioenergy, 33, 589596.
  • Hartl DL (2000) A Primer of Population Genetics. Sinauer Associates, Sunderland, MA.
  • He F, Gaston KJ (2003) Occupancy, spatial variance, and the abundance of species. American Naturalist, 162, 366375.
  • Hernandez PA, Graham CH, Master LL, Albert DL (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography, 29, 773785.
  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology, 25, 19651978.
  • Hutchinson GE (1957) Concluding remarks. Cold Spring Harbor Symposium on Quantitative Biology.
  • IPCC (2007) The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
  • Jarvis A, Reuter HI, Nelson A, Guevara E (2008) Hole-filled SRTM for the globe Version 4, available from the CGIAR-CSI SRTM 90m. Database. Available at: http://www.srtm.csi.cgiar.org (accessed 1 September 2008).
  • Kigel J, Galili G (1995) Seed Development and Germination. Marcel Dekker, New York.
  • Köppen W (1923) Dle Klimate der Erde. Walter de Gruyter. Walter de Gruyter, Berlin.
  • Loiselle BA, Jørgensen PM, Consiglio T et al. (2008) Predicting species distributions from herbarium collections: does climate bias in collection sampling influence model outcomes? Journal of Biogeography, 35, 105116.
  • Mackey BG, Lindenmayer DB (2001) Towards a hierarchical framework for modelling the spatial distribution of animals. Journal of Biogeography, 28, 11471166.
  • Maes WH, Achten WMJ, Reubens B, Raes D, Samson R, Muys B (2009a) Plant–water relationships and growth strategies of Jatropha curcas L. seedlings under different levels of drought stress. Journal of Arid Environments, 73, 877884.
  • Maes WH, Trabucco A, Achten WMJ, Muys B (2009b) Climatic growing conditions of Jatropha curcas L. Biomass and Bioenergy, 10, 14811485.
  • Mateo RG, Croat TB, Felicísimo ÁM, Muñoz J (2010) Profile or group discriminative techniques? Generating reliable species distribution models using pseudo-absences and target-group absences from natural history collections. Diversity and Distributions, 1, 8494.
  • Moles AT, Falster DS, Leishman MR, Westoby M (2004) Small-seeded species produce more seed per square meter of canopy per year, but not per individual lifetime. Journal of Ecology, 92, 384396.
  • Moles AT, Westoby M (2002) Seed addition experiments are more likely to increase recruitment in larger-seeded species. Oikos, 99, 241248.
  • Morlini I (2006) On multicollinearity and concurvity in some nonlinear multivariate models. Statistical Methods and Applications, 15, 326.
  • Nachtergaele FO, Zanetti M, Bloise M, Ataman E (2007) Global Land Resources GIS Models and Databases for Poverty and Food Insecurity Mapping (accessed 1 November 2008).
  • National Oilseeds and Vegetable Oils Development (NOVOD) Board (2008) Third Research and Development Report on Tree Borne Oilseeds 2007–2008. NOVOD Board, Ministry of Agriculture, Government of India, New Delhi, India.
  • Ndong R, Montrejaud-Vignoles M, Girons OS et al. (2009) Life cycle assessment of biofuels from Jatropha curcas in West Africa: a field study. Global Change Biology and Bioenergy, 1, 197210.
  • Openshaw K (2000) A review of Jatropha curcas: an oil plant of unfulfilled promise. Biomass and Bioenergy, 19, 115.
  • Pearson RG, Dawson TP (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12, 361371.
  • Pearson RG, Raxworthy CJ, Nakamura M, Peterson AT (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography, 34, 102117.
  • Peel MC, Finlayson BL, McMahon TA (2007) Updated world map of the Köppen-Geiger climate classification. Hydrology and Earth System Sciences, 11, 16331644.
  • Phillips SJ (2008) Transferability, sample selection bias and background data in presence-only modelling: a response to Peterson et al (2007). Ecography, 31, 272278.
  • Phillips SJ, Anderson RP, Schapire RE (2006) Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190, 231259.
  • Phillips SJ, Dudik KM (2008) Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31, 161175.
  • Phillips SJ, Dudik M, Schapire RE (2004) A maximum entropy approach to species distribution modeling. In: Proceedings of the Twenty-First International Conference on Machine Learning. ACM Press, New York, USA.
  • Planning Commission of India (2003) Report of the committee on development of bio-fuel. Planning Commission, Government of India, New Delhi, India.
  • Preston TR (2009) Environmentally sustainable production of food, feed and fuel from natural resources in the tropics. Tropical Animal Health and Production, 41, 10711080.
  • Rao VR (2006) The Jatropha hype: promise and performance. In: Proceedings of the Biodiesel Conference Toward Energy Independence—Focus of Jatropha, Hyderabad, India, June 9–10 (eds SinghB, SwaminathanR, PonrajV), pp. 1620. Rashtrapati Bhawan, New Delhi.
  • Reddy S, Davalos LM (2003) Geographical sampling bias and its implications for conservation priorities in Africa. Journal of Biogeography, 30, 17191727.
  • Reekie EG, Bazzaz FA (2005) Reproductive Allocation in Plants. Elsevier Academic Press, Burlington, MA.
  • Rey PJ, Alcantara JM (2000) Recruitment dynamics of a fleshy-fruited plant (Olea europaea): connecting patterns of seed dispersal to seedling establishment. Journal of Ecology, 88, 622633.
  • Rossiter DG (1996) A theoretical framework for land evaluation. Geoderma, 72, 165190.
  • Royle JA, Nichols JD, Kéry M (2005) Modelling occurrence and abundance of species when detection is imperfect. Oikos, 110, 353359.
  • Silvertown JW, Charlesworth D (2001) Introduction to Plant Population Biology. Blackwell Science, Oxford.
  • Singh L, Bargali SS, Swamy SL (2006) Production Practices and Post-Harvest Management in jatropha. In: Proceedings of the Biodiesel Conference Toward Energy Independence – Focus of Jatropha (eds SinghB, SwaminathanR, PonrajV), pp. 252267. Rashtrapati Bhawan, New Delhi, India.
  • Sys C, Van Ranst E, Debaveye J (1991) Land evaluation Part I: principles in land evaluation and crop production calculations. In: Agricultural Publication No. 7. General Administration for Development Cooperation, Brussels, Belgium.
  • Tan G, Shibasaki R (2003) Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration. Ecological Modelling, 168, 357370.
  • VanDerWal J, Shoo LP, Johnson CN, Williams SE (2009) Abundance and the environmental niche: environmental suitability estimated from niche models predicts the upper limit of local abundance. The American Naturalist, 174, 282291.
  • Vermeij GJ (2004) Nature: An Economic History. Princeton University Press, Princeton, NJ.
  • Wani SP, Osman M, Silva ED, Sreedevi TK (2006) Improved livelihoods and environmental protection through biodiesel plantations in Asia. Asian Biotechnology and Development Review, 8, 1129.
  • Wijgerse I (2008) The electricity system for a rural village in Mali. Msc Thesis, Delft University of Technology, Delft, 104 pp.
  • World Biodiversity Information Network (WBIN) (2002). Online network of herbarium databases, supported by CONABIO (National Commission for the Knowledge and Use of Biodiversity), Mexico. Available at: http://www.conabio.gob.mx/remib_ingles/doctos/remib_ing.html; 2008 (accessed 19 December 2008).
  • Zielinski WJ, Kucera TE (1995) American Marten, Fisher, Lynx, and Wolverine: Survey Methods for their Detection. Pacific Southwest Research Station, Albany, CA.