Change in Licence Policy for CAAS Journals
We would like to inform you that the journals published by the Czech Academy of Agricultural Sciences (CAAS) will change their licence policy. All articles submitted to CAAS journals from 2026 will be published under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0).
The Creative Commons Attribution 4.0 International Licence (CC BY 4.0) allows broad reuse, distribution, and adaptation of published articles, provided that appropriate credit to the original authors is given.
Articles submitted by 2025 are distributed under the Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC 4.0) license.
Impact factor (WoS):
2024: 1.7
Q3 – Water Resources
Q4 – Soil Science
5-Year Impact Factor: 2.5
SCImago Journal Rank (SCOPUS):
Soil and Water Research
- ISSN 1801-5395 (Print)
- ISSN 1805-9384 (On-line)
An international open access peer-reviewed journal published by the Czech Academy of Agricultural Sciences and financed by the Ministry of Agriculture of the Czech Republic. Published since 2006
- The journal is administered by an international Editorial Board
- Editor-in-Chief: prof. Ing. Josef Kozák, DrSc., Dr.h.c.
- Co-editors: prof. Ing. Radka Kode¹ová, CSc., doc. RNDr. Lubica Pospí¹ilová, CSc., prof. Dr. Ing. Boøivoj ©arapatka, CSc., prof. Ing. Radim Vácha, Ph.D., prof. Ing. Tomá¹ Vogel, CSc.
- Executive Editor: Bc. Michaela Polcarová
- The journal is published quarterly
Aims & Scope
original papers, short communications and critical reviews from all fields of science and engineering related to soil and water and their interactions in natural and man-modified landscapes, with a particular focus on agricultural land use. The fields encompassed include, but are not limited to, the basic and applied soil science, soil hydrology, soil erosion research and control, drought and flood control, soil contamination, land use, wetland restoration and protection, surface and ground water protection in terms of their quantity and quality, good agricultural practices, land consolidation and other measures for improving and protecting soils and all other elements of the environment in small agricultural and forested catchments. Socio-economic issues are not excluded. The journal is open to authors from all parts of the world irrespective of their professional background and affiliation. Papers are published in English.
Current issue
Potential of micropollutants originated from irrigation water to contaminate soil and groundwaterOriginal Paper
Radka Kode¹ová, Alina Sadchenko, Martin Koèárek, Miroslav Fér, Helena ©vecová, Ale¹ Klement, Antonín Nikodem, Jindøich Zelinka, Marek Kuèírek, Lenka Pavlù, Vít Kode¹, Roman Grabic
Soil & Water Res., 2026, 21(2):67-77 | DOI: 10.17221/35/2026-SWR 
Sorption of organic contaminants in soils and sediments is a crucial factor affecting their mobility in the vadose zone environment. Freundlich sorption isotherms were evaluated for six micropollutants identified in areas irrigated with river-water and sixteen soils. The highest Freundlich sorption coefficients, KF, were obtained for 1,3-diphenylguanidine (11.6 ± 5.0 cm3/nμg1−1/n/g) followed by triethyl citrate (4.57 ± 4.91), 4-acetamidoantipyrine (1.43 ± 0.24), 6 : 2 fluorinated telomer sulfonate (1.18 ± 0.42), benzo(d)thiazole-2-sulfonic acid...
Spatial assessment of potential wind-driven soil loss using the Wind Erosion EquationOriginal Paper
Josef Kuèera, Martin Blecha, Jana Podhrázská, Jan Szturc, Hana Støedová, Tomá¹ Støeda, Petra Fukalová
Soil & Water Res., 2026, 21(2):78-88 | DOI: 10.17221/17/2026-SWR
Wind erosion represents a locally significant soil degradation process in the Czech Republic, particularly in intensively farmed lowland regions. While areas susceptible to wind erosion have been previously identified, spatially explicit quantification of potential soil loss expressed in t/ha per year at the national scale has so far been lacking. This study presents a comprehensive assessment of potential wind-driven soil loss across the Czech Republic using the Wind Erosion Equation (WEQ). Special attention is given to the soil erodibility index (I), which was derived from extensive laboratory analyses of soil aggregates and evaluated using...
Balancing data quality in predictive geochemical mapping using machine learning: A Czech regional case study on topsoil nickelOriginal Paper
Jan Skála, Daniel ®í¾ala, Robert Minaøík
Soil & Water Res., 2026, 21(2):89-97 | DOI: 10.17221/128/2025-SWR
Machine learning makes geochemical mapping highly adaptable, as its data-driven nature allows predictions to evolve with new information. In this study, topsoil nickel (Ni) data were compiled from various sources, each with different sampling times and analytical methods. To effectively use such imbalanced data into spatial modelling, it was necessary to test how the data uncertainty propagated through the final maps. A comprehensive benchmark of the quantile random forest algorithm was conducted to identify conditions under which the model performs optimally. Predictive maps of topsoil Ni at a 20-metre resolution were subsequently generated and compared...
Use of agricultural wastes to reduce toxicity effect of tetracycline on soil nematode communityOriginal Paper
Shuang Zhong, Ting-Ting Song, Yan QIN, Yun-Hui Li, Xue-Yuan Bai
Soil & Water Res., 2026, 21(2):98-106 | DOI: 10.17221/148/2025-SWR
In order to remove soil tetracycline residue and identify the effect of tetracycline on soil nematode community, agricultural waste returning was applied in a maize monocropping field, northeast China. The results showed that plant parasites were the dominant genera in high concentration of soil tetracycline; however, bacterivores were the dominant genera in all organic matter amendments. Maturity index, structure index and enrichment index showed the highest values in biochar and compost mixed amendments and these treatments had the highest tetracycline removal rate and the highest concentration of macro-aggregates, total organic C and available...
Linking seasonal fractional vegetation cover dynamics with soil organic carbon stock and microbial indicators in tropical agroecosystemsOriginal Paper
Ni Made Trigunasih, Moh Saifulloh, Ida Bagus Putu Bhayunagiri, Zulkarnain Zulkarnain
Soil & Water Res., 2026, 21(2):107-120 | DOI: 10.17221/96/2025-SWR
Reliable indicators of early soil biological change remain limited in tropical agroecosystems, where soil organic carbon (SOC) stocks may respond more slowly than microbial processes. We evaluated whether seasonal vegetation dynamics derived from Sentinel-2 fractional vegetation cover (FVC) are associated with spatial variation in SOC stock and microbial indicators in Jembrana, Bali, Indonesia. We mapped seasonal FVC from 2019 to 2024 and derived site-level metrics of mean cover and temporal variability (standard deviation, anomaly, coefficient of variation, and a temporal stability index). In July 2023, we sampled topsoil (0–30 cm) at 12...
Evapotranspiration and crop coefficient of drip irrigated walnut trees in semi-arid climatic conditions, TürkiyeOriginal Paper
Tolga Erdem, Erhan Göçmen, Mehmet ªener, Zafer Çoºkun, Ahmet Semih Yaºasın, Buse Önler
Soil & Water Res., 2026, 21(2):121-132 | DOI: 10.17221/72/2025-SWR
This study was conducted to find out the seasonal evapotranspiration (ETc) and crop coefficient (Kc) for walnut trees (ages one to nine) that were grown with drip irrigation in Türkiye’s semi-arid climate. Three different irrigation levels were applied at five-day intervals based on cumulative Class A pan evaporation using irrigation treatment coefficients (Kt = 0.75, 1.00, and 1.25) during the 2015, 2016, 2017, 2018, 2019, 2021, 2022, and 2023 growing seasons. The amount of irrigation water applied to the treatments varied from year to year according to the measured Class A pan evaporation...