The Relative Importance of Generic vs. Specific Capacity in Addressing Drought Vulnerability in NE Brazil.
National Science Foundation
Partners: Arizona State University; University of Michigan
National Science Foundation
Partners: Arizona State University; University of Michigan
This project leverages a unique research design, covering two severe drought events 14 years apart, to ask fundamental questions about climate vulnerability, adaptation, disaster risk and adaptive capacity. Ceará, Brazil is a state in which two million people reside in rural areas and earn a living off the land. Debilitating droughts are a regular occurrence in this semi-arid region and one of our research objectives is to understand how vulnerability to drought at the household level has changed through time as a function of government-led interventions in specific and generic adaptive capacities. Specific capacities refer to those that associated specifically with climate risk reduction (e.g. early warning systems. Irrigation schemes, crop insurance). Generic capacities are associated with fundamental human development goals (health, education, wealth). We also explore the ways in which the two types of capacities relate to each other, both in terms of their relative importance in defining overall adaptive capacity and in terms of how they may create synergies or be mutually conditioning.
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PUBLICATIONS
King, E., Nelson, D.R., and J.R. McGreevy. 2019. Advancing the integration of ecosystem services and livelihood adaptation. Environmental Research Letters. doi.org/10.1088/1748-9326/ab5519.
Nelson, D.R., M.C. Lemos, H. Eakin, Y.J. Lo. 2016. The limits of poverty reduction in support of climate change adaptation. Environmental Research Letters. 11:094001. PDF
Barbosa, R. M., & Nelson, D. R. (2016). The Use of Support Vector Machine to Analyze Food Security in a Region of Brazil. Applied Artificial Intelligence, 30(4), 318-330. doi:10.1080/08839514.2016.1169048
Lemos, M.C., Y.J. Lo, D.R. Nelson, H. Eakin. 2016. Leveraging generic and specific capacities to reduce vulnerability to drought in NE Brazil. Global Environmental Change. 39:170-179.
Eakin, H. C., M. C. Lemos, and D. R. Nelson. 2014. Differentiating capacities as a means to sustainable climate change adaptation. Global Environmental Change 27:1–8.
Lemos, M. C., A. Agrawal, H. Eakin, D. R. Nelson, N. L. Engle, and O. Johns. 2013. Building Adaptive Capacity to Climate Change in Less Developed Countries. In Climate Science for Serving Society: Research, Modeling and Prediction Priorities. G. R. Asrar and J. W. Hurrell, eds. Pp. 437–57: Springer Verlag.
King, E., Nelson, D.R., and J.R. McGreevy. 2019. Advancing the integration of ecosystem services and livelihood adaptation. Environmental Research Letters. doi.org/10.1088/1748-9326/ab5519.
Nelson, D.R., M.C. Lemos, H. Eakin, Y.J. Lo. 2016. The limits of poverty reduction in support of climate change adaptation. Environmental Research Letters. 11:094001. PDF
Barbosa, R. M., & Nelson, D. R. (2016). The Use of Support Vector Machine to Analyze Food Security in a Region of Brazil. Applied Artificial Intelligence, 30(4), 318-330. doi:10.1080/08839514.2016.1169048
Lemos, M.C., Y.J. Lo, D.R. Nelson, H. Eakin. 2016. Leveraging generic and specific capacities to reduce vulnerability to drought in NE Brazil. Global Environmental Change. 39:170-179.
Eakin, H. C., M. C. Lemos, and D. R. Nelson. 2014. Differentiating capacities as a means to sustainable climate change adaptation. Global Environmental Change 27:1–8.
Lemos, M. C., A. Agrawal, H. Eakin, D. R. Nelson, N. L. Engle, and O. Johns. 2013. Building Adaptive Capacity to Climate Change in Less Developed Countries. In Climate Science for Serving Society: Research, Modeling and Prediction Priorities. G. R. Asrar and J. W. Hurrell, eds. Pp. 437–57: Springer Verlag.