Swedish Bird Survey: Swedish coastal bird monitoring programme (Nationella kustfågelövervakningen)

Dataset type

This dataset that contains primary occurrence data for species.

Description

The Swedish coastal bird monitoring programme (aka the ”Archipelago squares”/”Kustfågelrutorna”) is one of several schemes within the Swedish Bird Survey (see below), run by the Department of Biology at Lund University. The survey scheme was initiated in 2015 as a standardized method for detecting and reporting changes in the abundance of coastal and archipelagic birds and their distributions in Sweden over time. The 200 archipelago squares are distributed along the Swedish coastline and are surveyed during the breeding season. In this dataset, some information is placed in the table ExtendedMeasurementOrFacts (eMoF), which is part of the Source Archive available to download directly from the dataset’s page here on gbif.org. The Source Archive contains the data exactly as uploaded to gbif (verbatim). Should you choose to download the dataset as GBIF Annotated Archive instead, the data has been interpreted and quality controlled by gbif, but, the data in the eMoF will not be included as the eMoF extension is not yet supported by gbif.

Geographic Description

All data is collected within Sweden.

Purpose

National environmental monitoring of birds.

Data quality

Data is checked and validated by the project leaders, specifically species identity, numbers and geographical location. Confidence in the data is good.

Methods

See sampling description.

Type of content

Includes: Point occurrence data.

Citation

Haas F, Green M, Jönsson A (2024). Swedish Bird Survey: Swedish coastal bird monitoring programme (Nationella kustfågelövervakningen). Version 1.7. Department of Biology, Lund University. Samplingevent dataset. https://www.gbif.se/ipt/resource?r=lu_sft_kfr&v=1.7

Rights

To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

Digitised records

Metadata last updated on 2024-08-27 06:54:10.0