dataset: Integrating connectivity and habitat availability to identify key wetlands for a critically endangered marsh passerine and guide its national-scale conservation

Description of the data and file structure In this study, “Integrating connectivity and habitat availability to identify key wetlands for a critically endangered marsh passerine and guide its national-scale conservation”, published in Ornithological Applications, we analyze habitat availability at the national level for the Eastern Iberian Reed Bunting and perform several connectivity analyses to identify critical locations for its conservation. The methods are described in detail in the methods section and in the Supplementary Material file due to limitations in the length of the paper. The data used, except for the habitat and suitability maps generated for each of the 64 wetlands, are described or available in the body of the manuscript, in the supplementary material, or are open access. The maps of each of the wetlands, as well as those of habitats, suitability, and standard deviation of variation of the 10 models predicting Eastern Iberian Reed Bunting breeding occurrence can be found in this repository. Files and variables File: Suitability_Maps.pdf Description: Habitat suitability maps of the wetlands analyzed to estimate habitat availability for the Eastern Iberian reed bunting (Emberiza schoeniclus witherbyi) in Spain. a): Shows satellite imagery of selected wetlands, extracted from Google Maps (April 2024). b): Classification of habitat types at the wetland scale. c): Wetland-scale mean probability of breeding territory presence, based on predictions from the 10 Random Forest models. d): Maps displaying standard deviation of variation of the 10 models predicting Eastern Iberian Reed Bunting breeding occurrence. Map legends are provided below. Access information Other publicly accessible locations of the data: https://seo.org/wp-content/uploads/2023/02/Monografia_58_Escribano-palustre.pdf This link contains the technical document resulting from the latest national census for the species carried out in 2021, which was the basis for the analyses conducted in this study. For further information, please do not hesitate to contact the authors. Corresponding author email: [e-mail]