Climate Sense

271 / 287

[ ] 272
Notes & R eferences
5. Yamano H., Kayanne H., Yamaguchi T., et al (2007) ‘Atoll island
vulnerability to flooding and inundation revealed by historical
reconstruction: Fongafale Islet, Funafuti Atoll, Tuvalu’, Global And
Planetary Change, Volume. 57, Issue. 3-4, Pages: 407-416.
6. Connell, J., Roy, P. (1990), ‘The Greenhouse Effect: the impact of
sea-level rise on low coral islands in the South Pacific’ in J. C. Pernetta
and P. J. Hughes (Eds.), ‘Implications of expected climate changes in
the South Pacific region: an overview’, UNEP Regional Seas Reports
and Studies No. 128.
7. Lang, O. (2009), ‘Heightened fears for lowering lands’, BBC, http://
Rakova, U. (2009), Tulele Peisa,
8. Shaig, A. (2009), ‘Settlement planning for natural hazard resilience
in small island states: the population and development consolidation
approach’, unpublished PhD, James Cook University, Townsville,
Australia.
9. O’Collins, Maev. (1990), ‘Carteret islanders at the Atolls Resettlement
Scheme: a response to land loss and population growth’, in J. C.
Pernetta and P. J. Hughes (Eds.), ‘Implications of expected climate
changes in the South Pacific region: an overview’, UNEP Regional
Seas Reports and Studies No. 128.
10. Ibid.
11. Bayliss-Smith, T. (1974). Constraints on Population Growth: The
Case of the Polynesian Outlier Atolls in the Precontact Period.
Human Ecology Vol 2, No 4, p259-295.
Climate in the Pacific: building capacity for climate services
1. Seasonal Climate Prediction in Pacific Island Countries is a statistical
based model.
2. Cook Islands, Fiji, Kiribati, Niue, Papua New Guinea, Samoa,
Solomon Islands, Tonga, Tuvalu and Vanuatu.
3. ClimSoft was developed by Zimbabwe Meteorological Service Inc.
ClimSoft has the important advantage of being built around an open
source database (which means that countries deploying it are not
saddled with ongoing license fees, as is the case with proprietary
systems such as Oracle).
Further references
- Droughts in Small Coral Islands: Case Study, South Tarawa, Report
under International Hydrological Programme, Kiribati, Ian White,
Tony Falkland and David Scott, UNESCO, Paris 1999
- Pacific Islands Climate Prediction Project – Phase 2, Project Design
Document, Final version, November 2006
- Pacific Islands Climate Prediction Project website:
climate/pi-cpp
- (Draft) Position Paper on Users Liaison in RCOF, Rodney Martínez
Güingla, WMO RCOF Review 2008
Combating climate change: how prepared are poor fishing communities
in South Asia?
1. IPCC, 2007. Climate Change 2007: The Physical Science Basis.
Summary for Policy Makers. Intergovernmental Panel on Climate
Change, Geneva 18pp.
2. Emery and Aubrey, 1989; Das and Radhakrishna, 1993
3. International Comprehensive Ocean – Atmosphere Data Set
(ICOADS) (ESRL PSD www.cdc.noaa.gov).
Nine-kilometre resolution monthly SST obtained from AVHRR
satellite data (provided by the NOAA/NASA at
gov/
3. WHO (2005). ‘Using Climate to Predict Infectious Disease
Outbreaks: A Review’. Geneva, Communicable Diseases Surveillance
and Response Protection of the Human Environment, Roll Back
Malaria WHO.
4. Chalmers, I. (1993). ‘The Cochrane Collaboration: preparing,
maintaining, and disseminating systematic reviews of the effects of
health care’, Annals of the New York Academy of Sciences, 703:
p156-165.
5. WHO-EURO (2009). ‘Improving public health responses to extreme
weather/heat-waves’ – EuroHEAT Technical Summary, Rome, World
Health Organization: 60.
6. Thomson, M. C., F. J. Doblas-Reyes, et al. (2006). ‘Malaria early
warnings based on seasonal climate forecasts from multi-model
ensembles’, Nature 439: p576-579.
7. Thomson, M. C., S. J. Connor, et al. (2005). ‘Rainfall and Sea-Surface
temperature monitoring for malaria early warning in Botswana’,
American Journal of Tropical Medicine and Hygiene 73 (1): p214-
221.
8. Connor, S. J., J. DaSilva, et al. (2007). ‘Malaria control in Southern
Africa’, Climate Risk Management in Africa: Learning from Practice.
M. E. Hellmuth, A. Moorhead, M. C. Thomson and J. Williams. New
York, International Research Institute for Climate and Society (IRI),
Columbia University: p45-57.
9. DaSilva, J., B. Garanganga, et al. (2004). ‘Improving Epidemic Malaria
Planning, Preparedness and Response in Southern Africa’, Malaria
Journal 3(1): 37.
10. Worrall, E., S. Connor, et al. (2007). ‘A model to simulate the impact
of timing, coverage and transmission intensity on effectiveness of
indoor residual spraying (IRS)’, Tropical Medicine and International
Health 12 (2): p1-14.
Worrall, E., S. J. Connor, et al. (2008). ‘Improving the cost-
effectiveness of IRS with climate informed health surveillance
systems’, Malaria Journal 7.
11. Ghebreyesus, T. A., Z. Tadesse, et al. (2008). ‘Public Health
Services and Public Weather Services: Increasing the Usefulness of
Climate Information in the Health Sector’, Bulletin of the World
Meteorological Organization 57 (4): p256-261.
12. Campbell-Lendrum, D.,R. Bertollini, et al. (2009). ‘Health and
climate change: a roadmap for applied research’, The Lancet 373:
p1664-1665.
Further references
- Costello, A. and a. others (2009). ‘Managing the health effects of
climate change’, The Lancet 373: p1693-1732.
Climate change migration from low-lying small island communities
1. ISDR (2008), ‘Climate Change and Disaster Risk Reduction: weather,
climate and climate change’, Briefing Note 01, Geneva.
2. Duerden, F. (2004), ‘Translating Climate Change Impacts at the
Community Level’, Arctic Vol. 57, No. 2, p.209.
3. Handmer, J., Dovers, S. and Downing T. (1999). Societal
Vulnerability to Climate Change and Variability. Mitigation and
Adaptation Strategies for Global Change 4: 267-281. Kluwer.
4. Church J.A., White N.J., Hunter J.R. (2006) Sea-level rise at tropical
Pacific and Indian Ocean islands. Global And Planetary Change
Volume: 53 Issue:3 Pages: 155-168.
Woodroffe, C.D. (2008), ‘Reef-island topography and the
vulnerability of atolls to sea-level rise’, Global And Planetary Change,
Volume 62, Issue 1-2, pages 77-96.