Evidence map›Paper›PMID 40759668›Full record

ArticleScientific data2025

ECIRA - European crop-specific irrigated area at 1 km resolution annually from 2010 to 2020.

Wanxue Zhu, Josef Baumert, Hugo Storm, Thomas Heckelei, Stefan Siebert

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. A cloud-computing framework for downscaled global 300 m SIF retrieval from Sentinel-3 and TROPOSIF.International journal of applied earth observation and geoinformation : ITC journal · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wanxue ZhuDepartment of Crop Sciences, University of Göttingen, Von-Siebold-Str. 8, 37075, Göttingen, Germany. wanxue.zhu@agr.uni-goettingen.de.ORCID http://orcid.org/0000-0002-2635-0688
Josef BaumertInstitute for Food and Resource Economics (ILR), University of Bonn, Bonn, Germany.ORCID http://orcid.org/0000-0003-0586-8565
Hugo StormInstitute for Food and Resource Economics (ILR), University of Bonn, Bonn, Germany.ORCID http://orcid.org/0000-0003-3791-3615
Thomas HeckeleiInstitute for Food and Resource Economics (ILR), University of Bonn, Bonn, Germany.ORCID http://orcid.org/0000-0002-6251-3480
Stefan SiebertDepartment of Crop Sciences, University of Göttingen, Von-Siebold-Str. 8, 37075, Göttingen, Germany.ORCID http://orcid.org/0000-0002-9998-0672

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 450058266
6 · The paper itself

Abstract

Irrigation significantly contributes to total water withdrawal and exhibits considerable spatial and temporal variability, particularly in more humid regions. This variability is caused by climate, soil properties, and crop water requirements. However, time series of high-resolution, crop-specific irrigated area data remain scarce in Europe. We developed and applied a method to harmonize input data on crop types and irrigation to obtain the European Crop-specific IRrigated Area (ECIRA) dataset, providing annual 1-km gridded crop-specific irrigated area for 16 crop types across 28 European countries for 2010-2020. The ECIRA dataset effectively identifies crop-specific irrigated hotspots, aligns with subnational census data, and strongly agrees with LUCAS field observations and other survey-based crop-specific irrigation area datasets. However, caution is needed for region- and location-specific studies, as the Europe-wide scope of ECIRA entails a trade-off between local details and overall consistency. It can be used in assessments of crop productivity and crop water use, as input in land surface-, crop-, and hydrological modeling, in climate impact studies and to support improved water resources management.

Identifiers

PMID40759668
PMCPMC12322114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.