coping capacity, in particular in the light of infectious diseases. Studies have attempted to reveal the relationship between occurrence rate and climatic conditions. Some found a relationship to temperature and/or precipitation for dengue (Su et al., 2008; Tseng et al., 2009; Hii et al., 2009), but other results seemed not to be consistent and significant. This can be traced back to non-climatic reasons being a large factor in the distribution of the illness (Khasnis and Nettleman, 2005), but also to the varying conditions in the country (particularly precipitation), which is often discussed as a factor. The study could only supply a limited amount of knowledge about the spatial distribution of vulnerability to climate change. The most vulnerable areas are arguably the areas that are prone to droughts and whose inhabitants are strongly dependent on agricultural yields as food and income source. Above, we mentioned the reason why densely populated areas are strongly affected by climate change – so population density can be taken as a measure to localize vulnerable regions. If these regions are further situated at the coast – additional risks contribute to an even higher vulnerability. All the coastal areas where coral reefs and mangroves are still present should be seen as vulnerable and the same for the corresponding communities nearby. The possible disappearance of an ecotype seems to be of particular importance as reversal is almost impossible. A lot of detailed knowledge regarding the spatial distribution can potentially be found in the listed case studies of Table 2. The combination of the sector-wise vulnerability evaluation of this report and the spatial information of the case studies should be done in a follow-up report. While compiling the literature on the impacts of climate change in the country, some research questions remain unanswered. For example, the impacts on mortality and morbidity due to changes in climate have to be analyzed in more detail with epidemiological studies. This literature review was completed at the end of April 2017. 7 References Acosta-Michlik, L. (2005). Intervulnerability Assessment: Shifting Foci from Generic Indices to Adaptive Agents in Assessing Vulnerability to Global Environmental Change (A Pilot Project in the Philippines). Project Report of the Advanced Institute on Vulnerability to Global Enviro (pp. 0–37). Washington DC, USA. Acosta-Michlik, L., & Espaldon, V. (2008). Assessing vulnerability of selected farming communities in the Philippines based on a behavioural model of agent’s adaptation to global environmental change. Global Environmental Change, 18(4), 554–563. ADB. (2009). The Economics of Climate Change in Southeast Asia : A Regional Review (p. 255). ADB. (2011). Accounting for Health Impacts of Climate Change (pp. 1–44). Metro Manila, Philippines. ADB. (2012). Climate Change and Migration in Asia and the Pacific (p. 87). ADB. (2014). State of the coral triangle: Philippines (p. 128). ADPC. (2013). INTEGRATING DISASTER RISK MANAGEMENT INTO CLIMATE CHANGE ADAPTATION. In Disaster Risk Management Practitioner’s Handbook Series. Bangkok. Akasaka, I. (2010). Interannual variations in seasonal march of rainfall in the Philippines. International Journal of Climatology, 30(9), 1301– 1314. Allen, K. M. (2006). Community-based disaster preparedness and climate adaptation: Local capacity-building in the Philippines. Disasters, 30(1), 81–101. Amadore, L. A. (2005). Crisis or opportunities - climate change impacts and the Philippines. Greenpeace, 58. Amano, L. O., Amano, V. L., & Candelaria, A. P. (2012). GOOD PRACTICES FOR DISASTER RISK REDUCTION AND CLIMATE CHANGE ADAPTATION FOR RAINFED AND UPLAND AGRO-ECOLOGICAL ZONES , PHILIPPINES. Final Report BICOL UNIVERSITY. 31