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Date of publication: June 20, 2024

Version 1

Date of publication: June 20, 2024

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Breeding distribution of farmland birds (EBBA LIVE)

by Sergi Herrando

Farmland birds in Europe have broadly shown significant decreases over the last decades. This dataset examines 50 farmland birds of the following families: Accipitridae, Alaudidae, Ardeidae, Burhinidae, Charadriidae, Ciconiidae, Columbidae, Coracidae, Corvidae, Emberizidae, Falconidae, Fringillidae, Hirundinidae, Laniidae, Muscicapidae, Motacillidae, Otididae, Passeridae, Phasianidae, Pteroclidae, Rallidae, Scolopacidae, Strigidae, Sturnidae, Syl ...(continue reading)

Data: netCDF (10.37MB)
Metadata: ACDD (JSON) | EML (XML)

EBBAEuropeBirdsFarmlandBreeding distribution

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The title of the dataset. Breeding distribution of farmland birds (EBBA LIVE)
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
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Farmland birds in Europe have broadly shown significant decreases over the last decades. This dataset examines 50 farmland birds of the following families: Accipitridae, Alaudidae, Ardeidae, Burhinidae, Charadriidae, Ciconiidae, Columbidae, Coracidae, Corvidae, Emberizidae, Falconidae, Fringillidae, Hirundinidae, Laniidae, Muscicapidae, Motacillidae, Otididae, Passeridae, Phasianidae, Pteroclidae, Rallidae, Scolopacidae, Strigidae, Sturnidae, Sylviidae, and Upupidae. The observational data are derived from harmonized multi-year monitoring programs at national and regional levels, integrated through the Pan-European Common Bird Monitoring Scheme (PECBMS). The dataset provides high-resolution breeding distribution maps at a 10x10 km scale. We validated the distribution maps with test data from PECBMS. We used a cross-validation method to find AUC and TSS metrics for each species. The dataset aligns with EU policy reporting requirements, such as Article 12 of the Birds Directive, assessing changes in breeding bird distributions over two five-year periods (2013-2017 and 2018-2022), providing valuable insights for conservation efforts and policy evaluation. This dataset was produced as part of the EuropaBON Birds Directive Showcase, contributing to EBBA Life, and funded by the European Union's Horizon 2020 research and innovation programme under grant agreement No 101003553.

https://europabon.org/
https://ebba2.info/live/farmland/
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The method of production of the original data.
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We used multiple species distribution models to predict the distribution of 50 farmland birds. The models were developed for two periods: 2013-2017 and 2018-2022. We accounted for detectability and intrinsic spatial bias. In this phase of the project, we utilized site-level PECBMS data, which was subsequently aggregated to 10x10 square kilometers. We developed and used 34 predictor variables (climatic, land cover, human use, geographical, etc.) to produce the models. We validate the distribution maps with a subset of PECBMS data. We used a cross-validation methods to find AUC and TSS metrics.
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. https://ebba2.info/live/farmland/
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. ornitologia@ornitologia.org
david.marti@ornitologia.org
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Essential Biodiversity Variables

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Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
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Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
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Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
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Ecosystem services
Pollination
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Cross-cutting

Biological entity

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Metric

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Scenario

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
meter
southWest lat: 940000, lon: 940000
northEast lat: 6410000, lon: 6530000

Temporal domain

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decadal
annually
monthly
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daily
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Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. N/A