Adapting to Climate Change in Eastern Europe and Cental Asia

Page 199

Index

malnutrition, 59 Mediterranean Sea, 78–79 Mexico, catastrophe bond in, 144 Middle East and North Africa (MENA), 103–4 migration, 55, 60–64, 63f, 65 models of climate change. See individual models (e.g., general circulation models) Moldova drought in, 59, 62, 91, 95 economic loss from catastrophic events in, 143 floods in, 56 natural disasters in, 20 weather forecasting in, 149 Mongolia, Altai-Sayan Mountains in, 88 Montenegro. See Serbia and Montenegro Moscow, heat wave in, 6, 56 mosquitoes, 57b mountains, 86–88 See also individual mountains and mountain ranges Mozambique, meteorological service expenditures in, 147

N Nakat, Ziad, 121 Natura 2000 Network, 85 natural disasters, impact of, 1, 20, 22f, 38, 38f See also disaster risk management and weather forecasting natural resource management, 146 New Zealand Climate Change Office, 25b Nieuwejaar, Sonja, 139

175

“no-regret” actions, 10, 134, 136 Norilsk (Russia), nickel smelting plants in, 88 nuclear power, 132

O Oder River, flooding of, 56 oil industry, 133, 134, 136 Ostrava (Czech Republic), Roma in, 123b

P Palmer Drought Severity Index, 49 Patel, Hrishi, 16–17 permafrost, 4, 80, 81m, 88, 133, 134, 136 pest damage, 105 phenological cycles, 89n11 phytoplankton growth. See algal blooms Plecas, Ana, 121 Poland agriculture in, 96 Baltic coastal vulnerability studies in, 76, 77 Carpathian Mountains in, 88 floods in, 54, 56 heating costs in, 130 housing in, 10, 122 natural disasters in, 139 number of hot days in, 4 sea-level rise in, 5 pollen concentrations, 60 Pollner, John, 139 pollution, 7, 70, 71, 73, 79, 88 post-traumatic stress disorder, 54, 56 poverty, 56, 88, 93–95, 93t, 116n2 Power generation, 59, 132 Prague, floods in, 124


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