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. 2017 Aug 9;12(8):e0182274. doi: 10.1371/journal.pone.0182274

Table 1. Shifts for each crop analyzed considering A) the decrease and B) the increase in the pollinator occurrence probability and the number of municipalities potentially affected (scientific name of each crop can be found in S1 Table).

Occurrence probability % Occurrence probability STD Number of municipalities Total number of municipalities that produce each crop %
A) Decrease in pollinator occurrence probability
acerola 14.0 10.2 150 201 74.6
annatto 14.7 8.7 220 258 85.3
avocado 10.4 7.3 613 673 91.1
bean 9.9 8.8 3527 4188 84.2
coconut 5.6 4.4 1522 1753 86.8
coffee 15.3 8.6 1631 1708 95.5
cotton 6.9 6.3 318 321 99.1
guava 16.0 11.1 793 838 94.6
mandarin 15.1 9.8 1263 13645 9.3
passion fruit 10.8 9.9 973 1155 84.2
persimmon 2.8 2.2 503 579 86.9
sunflower 17.7 15.6 101 101 100.0
tomato 25.5 15.4 1521 1743 87.3
B) Increase in pollinator occurrence probability
acerola 4.8 5.2 51 201 25.4
annatto 2.5 2.0 38 258 14.7
avocado 4.4 4.8 60 673 8.9
bean 1.7 2.2 661 4188 15.8
coconut 2.8 2.9 231 1753 13.2
coffee 4.8 4.7 77 1708 4.5
cotton 20.4 13.7 3 321 0.9
guava 3.1 3.8 45 838 5.4
mandarin 3.8 4.2 82 1345 6.1
passion fruit 7.3 9.0 182 1155 15.8
persimmon 3.5 2.5 76 579 13.1
sunflower 0.0 0.0 0 101 0.0
tomato 4.3 3.1 222 1743 12.7