A nationwide multi-criteria classification of agricultural land parcels for shape optimisation in the Czech Republic

Efficient agricultural land management increasingly requires the integration of operational, environmental, and spatial factors influencing field performance.This study presented an updated nationwide classification of agricultural land parcels in the Czech Republic according to their suitability for shape optimisation.The classification was based on a multi-criteria analysis (MCA) integrating ten criteria describing terrain morphology, parcel geometry, accessibility constraints, and soil susceptibility to machinery-induced compaction.The analysis was applied to 301 558 arable land parcel identification system (LPIS) agricultural parcels covering 2.49 million hectares.The resulting suitability index classified parcels into four categories representing increasing levels of spatial complexity and optimisation potential.The results revealed a strong relationship between parcel suitability classes and terrain conditions.Classes III and IV, representing the parcels with high optimisation potential, accounted for 39.3% of the national arable land area and were most frequently associated with larger parcels and topographically heterogeneous landscapes.The resulting nationwide map layer provides a decision-support tool for the identification of the agricultural parcels requiring shape optimisation or spatial reconfiguration.

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Publication Details

Journal
Journal of Ecological Engineering
Published
2026-10-28
DOI
https://doi.org/10.12911/22998993/235693
Primary Topic
Soil and Land Suitability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A nationwide multi-criteria classification of agricultural land parcels for shape optimisation in the Czech Republic

Milan Kroulík, Josef Kučera, Václav Vít, V. Brant et al.
Journal of Ecological Engineering
Soil and Land Suitability Analysis
article

A nationwide multi-criteria classification of agricultural land parcels for shape optimisation in the Czech Republic

Milan Kroulík, Josef Kučera, Václav Vít, V. Brant, Věra Kolbabová, Pavel Hamouz, Jan Lang
article en

Abstract

Efficient agricultural land management increasingly requires the integration of operational, environmental, and spatial factors influencing field performance.This study presented an updated nationwide classification of agricultural land parcels in the Czech Republic according to their suitability for shape optimisation.The classification was based on a multi-criteria analysis (MCA) integrating ten criteria describing terrain morphology, parcel geometry, accessibility constraints, and soil susceptibility to machinery-induced compaction.The analysis was applied to 301 558 arable land parcel identification system (LPIS) agricultural parcels covering 2.49 million hectares.The resulting suitability index classified parcels into four categories representing increasing levels of spatial complexity and optimisation potential.The results revealed a strong relationship between parcel suitability classes and terrain conditions.Classes III and IV, representing the parcels with high optimisation potential, accounted for 39.3% of the national arable land area and were most frequently associated with larger parcels and topographically heterogeneous landscapes.The resulting nationwide map layer provides a decision-support tool for the identification of the agricultural parcels requiring shape optimisation or spatial reconfiguration.

Journal of Ecological EngineeringVol. 27(12)
Czech University of Life Sciences Prague (CZ), Výzkumný ústav monitoringu a ochrany půdy, v. v. i. (CZ)
Ministerstvo Zemědělství, Národní Agentura pro Zemědělský Výzkum
Life on land
Openalex Percentile: Top 10%
Soil and Land Suitability Analysis
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