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Table 2 Validation measures testing errors of omission for China waterfowl distribution maps at three scales: 1, 5, and 10 km

From: Species distribution modeling in regions of high need and limited data: waterfowl of China

Common species name Scientific name Omission error ratea Number of validation pointsb
1 km 5 km 10 km
Bar-headed Goose Anser indicus     
 Breeding season   0 0 0 13
 Wintering season   0.095 0.095 0.095 21
Common Goldeneye Bucephala clangula 0 0 0 74
Common Merganser Mergus merganser 0 0 0 18
Common Pochard Aythya ferina 0 0 0 1
Common Shelduck Tadorna tadorna 0 0 0 2
Common Teal Anas crecca 0 0 0 7
Greater Scaup Aythya marila 0 0 0 5
Greylag Goose Anser anser 0 0 0 1
Long-tailed Duck Clangula hyemalis 0 0 0 40
Mallard Anas platyrhyrnchos 0 0 0 166
Northern Pintail Anas acuta 0 0 0 1
Red-breasted Merganser Mergus serrator 0 0 0 64
Smew Mergellus albellus 0 0 0 2
Tufted Duck Aythya fuligala 0 0 0 8
Whooper Swan Cygnus cygnus 0 0 0 17
Total number of validation points      406
  1. aOmission rate is calculated by dividing the number of correctly predicted presence locations by the total number of validation (presence) points. For example, of the 21 validation locations where Bar-headed Geese were observed during the wintering season, two (or 9.5%) were incorrectly predicted as “absent” within the grid cell (within 1 km). In this example, increasing the number of neighboring cells to 5 or 10 km did not improve the error rate
  2. bAsian Waterbird Census data were used as validation points for all species listed. In addition, for the Bar-headed Goose we tested for errors of omission using location data (both the breeding and wintering seasons) from our satellite telemetry work (Prosser et al. 2011)