Table 1.
State | wetlands within 100 km of coast by state Ws (ha) | Wetland area in average swath Wsw (ha) | GDP in average swath (million $ yr−1) | Probability of state being hit by cyclones of a category by cyclone category (%) | Annual expected MV per average swath MVsw ($ ha−1 yr−1) | Total value of wetland protection TVs (million $ yr−1) | |||||
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |||||||
(1) Australia | |||||||||||
WA | 361744 | 5281 | 10364 | 4.35 | 0.00 | 8.70 | 8.70 | 17.39 | 44502 | 16098 | |
NT | 316526 | 33542 | 33678 | 8.70 | 4.35 | 8.70 | 0.00 | 17.39 | 49240 | 15586 | |
QLD | 542616 | 8385 | 13167 | 4.35 | 0.00 | 4.35 | 4.35 | 17.39 | 39067 | 21198 | |
(2) China | |||||||||||
Province/Municipality | wetlands within 100 km of coast by state W s (ha) | Wetland area in average swath W sw (ha) | Minimum central pressure of cyclones | GDP in average swath (million $ yr −1 ) | Probability of state being hit by cyclones of a category by cyclone category (%) | Annual expected MV per average swath MV sw ($ ha −1 yr −1 ) | Total value of wetland protection TV s (million $ yr −1 ) | ||||
1 | 2 | 3 | 4 | 5 | |||||||
Shanghai | 32400 | 123 | 965 | 1212 | 8.70 | 0.00 | 0.00 | 0.00 | 0.00 | 3647 | 118 |
Hong Kong | 10800 | 297 | 956 | 4187 | 17.39 | 4.35 | 0.00 | 0.00 | 0.00 | 28979 | 313 |
Guangxi | 108100 | 478 | 958 | 8892 | 69.57 | 30.43 | 4.35 | 0.00 | 0.00 | 218785 | 23651 |
Guangdong | 216200 | 436 | 952 | 9525 | 73.91 | 52.17 | 13.04 | 0.00 | 0.00 | 371403 | 80297 |
Zhejiang | 86500 | 80 | 945 | 15390 | 34.78 | 17.39 | 17.39 | 0.00 | 0.00 | 585022 | 50593 |
Jiangsu | 64900 | 384 | 931 | 4423 | 0.00 | 4.35 | 13.04 | 0.00 | 0.00 | 35205 | 2283 |
Hainan | 10800 | 135 | 956 | 4987 | 30.43 | 17.39 | 4.35 | 0.00 | 0.00 | 105358 | 1139 |
Fujian | 75700 | 79 | 940 | 7052 | 56.52 | 30.43 | 34.78 | 4.35 | 0.00 | 532193 | 40271 |
Note: WA denotes Western Australia, NT denotes Northern Territory and QLD denotes Queensland.