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Feist, Blake Edward; Levin, Phillip S. 2016. Novel indicators of anthropogenic influence on marine and coastal ecosystems. [Frontiers in Marine Science] . 3(113): 13 pp. DOI: https://doi.org/10.3389/fmars.2016.00113
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Hudson, Paul; Botzen, W. J. Wouter; Feyen, Luc; Aerts, Jeroen C. J. H. 2016. Incentivising flood risk adaptation through risk based insurance premiums: Trade-offs between affordability and risk reduction. [Ecological Economics] . 125: 1-13 DOI: https://doi.org/10.1016/j.ecolecon.2016.01.015
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Ercin, A. Ertug; Hoekstra, Arjen Y. 2014. Water footprint scenarios for 2050: A global analysis. [Environment International] . 64: 71-82 DOI: https://doi.org/10.1016/j.envint.2013.11.019
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Howard, Peter. 2014. Flammable Planet: Wildfires and the Social Cost of Carbon. pp: 46
Related URL(s): http://costofcarbon.org/reports/entry/flammable-planet-wildfires-and-the-social-…
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Kiguchi, Masashi; Shen, Yanjun; Kanae, Shinjiro; Oki, Taikan. 2014. Re-evaluation of future water stress due to socio-economic and climate factors under a warming climate. [Hydrological Sciences Journal] . 60(1): 14-29 DOI: https://doi.org/10.1080/02626667.2014.888067
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Sakschewski, Boris; von Bloh, Werner; Huber, Veronika; Müller, Christoph; Bondeau, Alberte. 2014. Feeding 10 billion people under climate change: How large is the production gap of current agricultural systems?. [Ecological Modelling] . 288: 103-111 DOI: https://doi.org/10.1016/j.ecolmodel.2014.05.019
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Schaub, Max. 2014. Solidarity With a Sharp Edge: Communal Conflict and Local Collective Action in Rural Nigeria. [HiCN Working Paper] University of Sussex. 183(183): 35
Related URL(s): http://www.hicn.org/wordpress/wp-content/uploads/2012/06/HiCN-WP-183.pdf
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Akpinar-Ferrand, Ezgi; Singh, Ashbindu. 2010. Modeling increased demand of energy for air conditioners and consequent CO2 emissions to minimize health risks due to climate change in India. [Environmental Science & Policy] . 13(8): 702-712 DOI: https://doi.org/10.1016/j.envsci.2010.09.009
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Perveen, Shama; James, L. 2010. Multiscale effects on spatial variability metrics in global water resources data. [Water Resources Management] . 24(9): 1903-1924 DOI: https://doi.org/10.1007/s11269-009-9530-2
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