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damaging to Bangladesh, forcing millions of people from their homes for long periods of time. Yet the people of Bangladesh showed a remarkable resiliency in responding to the 1988 flood, which inundated a large portion of the country , and this ability to adapt will be increasingly important to coastal countries that will experience increased inundation even under a low climate change scenario. The impacts are, however, quite unevenly distributed. At the aggregate level, developed countries experience an increase in productivity in all but the UKMO scenario. In contrast, developing regions suffer a loss in productivity in all estimates presented here. Table 9.9 shows the continentallevel results of scenarios assuming direct physiological effects of increased atmospheric CO concentrations and, where applicable, some farmlevel adaptations . Under the GISS and GFDL climate projections, crop productivity in developed regions benefits substantially, especially in the former USSR and in the Pacific OECD countries . Impacts on developing regions are all negative, except for the group of Centrally Planned Asia that includes China. Under the GISS and UKMO GCM scenarios, countries in Central and South America are most affected. The GFDL GCM estimates are worst for West Asia, South Asia, and Africa. Static impacts derived for the GISSA climate change scenario are mostly positive except for the GISSA scenario estimates which

bee kind lgbtq ally gay pride rainbow bumblebee positivity shirt 1
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