Automated Organization Profile

Náttúrustofa Vestfjarða

Current S-Index

2.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

2.2

Average Dataset Index per dataset

Total Datasets

1

Total datasets in this organization

Average FAIR Score

76.9%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Predicting the breeding distribution of wader species across climatic and environmental gradients (Version: 7)

Developing and applying species distribution models is particularly urgent for species currently facing high levels of environmental change. Waders (Charadrii) are among the most species rich groups of birds breeding at higher latitudes and the one where species are declining fastest. Iceland holds a large part of the global population of several wader species breeding sympatrically across unusual climate and environmental gradients. This provides an opportunity to assess synergy in habitat selection and occurrence of species usually occupying wide latitudinal ranges from temperate to arctic. In addition, the Icelandic wader habitats are facing significant and increasing pressures from anthropogenic sources putting in risk these populations. We built distribution models for several waders with the aim of identifying synergies in occurrence which allows better prioritisation of conservation efforts.

Authors

  • Méndez Aragón, Verónica ;
  • Guðmundsson, Guðmundur A. ;
  • Skarphéðinsson, Kristinn H. ;
  • Katrínardottir, Borgný ;
  • Auhage, Svenja ;
  • Þórisson, Böðvar ;
  • Snæþórsson, Aðalsteinn Ö. ;
  • Kolbeinsson, Yann ;
  • Þórarinsson, Þorkell L. ;
  • Stefánsson, Halldór W. ;
  • Helgason, Hálfdán H. ;
  • Þórarinsdóttir, Rán ;
  • Þórisson, Skarphéðinn G. ;
  • Gallo, Cristian ;
  • Alves, José A. ;
  • Gunnarsson, Tómas G.
1 Citation0 Mentions77% FAIR2.2 Dataset Index
10.5061/dryad.bzkh189m9July 2025