Further reading

 

Dillon, M.E., G.B. Wang, and R.B. Huey. 2010. Global metabolic impacts of recent climate warming. Nature 467: 704–706.

Food and Agriculture Organization (FAO). 2007. International standards for phytosanitary measures ISPM 2. Framework for Pest Risk Analysis. Secretariat of the Plant Protection Convention, Food and Agriculture Organization, Rome.

Govindasamy, B., P.B. Buffy, and J. Coquard. 2003. High-resolution simulations of global climate, part 2: effects of increased greenhouse gases. Climate Dynamics 21: 391–404.

Hellmuth, M.E., A. Moorhead, M.C. Thomson, and J. Williams. 2007. Climate risk management in Africa: Learning from practice. International Research Institute for Climate and Society (IRI). New York: Columbia University Press.

Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones, and A. Jarvis. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965–1978.

Intergovernmental Panel on Climate Change (IPCC). 2001. In: Climate Change 2001: The Scientific Basis. Contribution of Working Group I to the Third Assessment Report of the Intergovernmental Panel on Climate Change [Houghton, J.T., Y. Ding, D.J. Griggs, M. Noguer, P.J. van der Linden, X. Dai, K. Maskell, and C.A. Johnson (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 881pp.

———. 2014: In: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Field, C.B., V.R. Barros, D.J. Dokken, K.J. Mach, M.D. Mastrandrea, T.E. Bilir, M. Chatterjee, K.L. Ebi, Y.O. Estrada, R.C. Genova, B. Girma, E.S. Kissel, A.N. Levy, S. MacCracken, P.R. Mastrandrea, and L.L. White (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1132pp.

Kroschel, J., M. Sporleder, H.E.Z. Tonnang, H. Juarez, P. Carhuapoma, J.C. Gonzales, and R. Simon. 2013. Predicting climate-change-caused changes in global temperature on potato tuber moth Phthorimaea operculella (Zeller) distribution and abundance using phenology modeling and GIS mapping. Agricultural and Forest Meteorology 170: 228–241.

Oerke, E.C. 2006. Crop losses to pests. Journal of Agricultural Science 144: 31–43.

Ramirez, J., and A. Jarvis. 2010. Downscaling Global Circulation Model Outputs: The Delta Method Decision and Policy Analysis. Working Paper 1. International Center for Tropical Agriculture (CIAT), Cali, Colombia. pp. 18.

Sporleder, M., H.E.Z. Tonnang, P. Carhuapoma, J.C. Gonzales, H. Juarez, and J. Kroschel. 2013. Insect Life Cycle Modeling (ILCYM) software – a new tool for Regional and Global Insect Pest Risk Assessments under Current and Future Climate Change Scenarios. Boston: CABI.

Thomas, D.S.G., and C. Twyman. 2005. Equity and justice in climate change adaptation amongst natural resource-dependent societies. Global Environmental Change 15: 115–124.

Tonnang, E.Z.H., P. Carhuapoma, H. Juarez, J.C. Gonzales, D. Mendoza, M. Sporleder, R. Simon, and J. Kroschel. 2013. ILCYM-Insect Life Cycle Modeling. User Guide. A software package for developing temperature-based insect phenology models with applications for regional and global analysis of insect population and mapping. International Potato Center (CIP), Lima, Peru, pp. 193.

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