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Estimation of the share of Landscape Features in agricultural land based on the LUCAS 2022 survey
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Estimation of the share of Landscape Features in agricultural land based on the LUCAS 2022 survey

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Landscape features (LF) in agricultural land have potentially positive effects on biodiversity and ecosystem services, consequently their importance has been recognized by several European sectoral policies, amongst which the Common Agricultural Policy (CAP) and key European Union (EU) biodiversity legislation such as the Nature Restoration Law. As the amount of landscape features is often considered an important factor for agricultural biodiversity, indicator development was needed to assess policy performance with respect to biodiversity. European Commission services (Eurostat, JRC, AGRI, ENV, DEFIS) have agreed to bundle resources for developing a policy-relevant EU survey for the consistent quantification of the area of different types of landscape features at MS level, and possibly at regional level (NUTS2). The Land Use/Cover Area frame Survey LUCAS landscape features module was designed to fulfil this need and was first implemented in 2022 (LUCAS LF 2022). A total of 92,633 quadrats (square of 1ha with 41 sub-points inside) were surveyed for the presence of landscape features (encompassing 3.8 million sub-points). At EU level, it is estimated that landscape features cover 5.6% of agricultural land, with the larger share for Woody features (3.2%), followed by Grassy (1.9%), Wet (0.4%), and Stony (0.2%) types. After delving into a comprehensive analysis of landscape feature distributions across the EU, providing estimates at both national and sub-national levels. A detailed comparative analysis further evaluates the results from the LUCAS LF 2022 survey against various data sources such as previous LUCAS transects survey and the Copernicus Small Woody Features dataset, enriching our understanding of landscape feature dynamics and their regional variations. This comparative approach not only highlights the nuances in landscape feature estimation but also assists in validating the survey methodology, offering a robust framework for future enhancements.
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ISSN 1831-9424
ISBN 978-92-68-20569-3
DOI 10.2760/5923183
Kataloška številka KJ-01-24-007-EN-N
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ISSN 1831-9424 ISBN 978-92-68-20569-3 DOI 10.2760/5923183 Kataloška številka KJ-01-24-007-EN-N
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