Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 255

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Virtual water content of temperate cereals and maize: Present and potential future patterns

Fader, Marianela, Rost, Stefanie, Müller, Christoph, Bondeau, Alberte, Gerten, Dieter·2010·Journal of Hydrology

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jhydrol.2009.12.011

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Research works printed but not linked: 41

  1. Ainsworth, 2005, What have we learned from 15 years of free-air CO2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis, canopy properties and plant production to rising CO2, New Phytologist, 165, 351, 10.1111/j.1469-8137.2004.01224.x · DOI · Paper page
  2. Ainsworth, 2008, FACE-ing the facts: inconsistencies and interdependence among field, chamber and modeling studies of elevated [CO2] impacts on crop yield and food supply, New Phytologist, 179, 5, 10.1111/j.1469-8137.2008.02500.x · DOI · Paper page
  3. Bates, B.C., Kundzewicz, Z.W., Wu, S., Palutikof, J.P. (Eds.), 2008. Climate Change and Water. Technical Paper of the Intergovernmental Panel on Climate Change, IPCC Secretariat, Geneva, 210 pp.
  4. Bavec, 2002, Effects of plant population on leaf area index, cob characteristics and grain yield of early maturing maize cultivars (FAO 100–400), European Journal of Agronomy, 16, 151, 10.1016/S1161-0301(01)00126-5 · doi:10.1016/s1161-0301(01)00126-5
  5. Bessembinder, 2005, Which crop and which drop, and the scope for improvement of water productivity, Agricultural Water Management, 73, 113, 10.1016/j.agwat.2004.10.004 · DOI
  6. Biemans, 2009, Impacts of precipitation uncertainty on discharge calculations for main river basins, Journal of Hydrometeorology, 10, 1011, 10.1175/2008JHM1067.1 · DOI · Paper page
  7. Bondeau, 2007, Modelling the role of agriculture for the 20th century global terrestrial carbon balance, Global Change Biology, 13, 1, 10.1111/j.1365-2486.2006.01305.x · DOI · Paper page
  8. Collatz, 1992, Coupled photosynthesis-stomatal conductance model for leaves of C4 plants, Australian Journal of Plant Physiology, 19, 519, 10.1071/PP9920519 · DOI · Paper page
  9. Collins, 2006, The community climate system model version 3 (CCSM3), Journal of Climate, 19, 2122, 10.1175/JCLI3761.1 · DOI · Paper page
  10. Cox, 1999, The impact of new land surface physics on the GCM simulation of climate and climate sensitivity, Climate Dynamics, 15, 183, 10.1007/s003820050276 · DOI · Paper page
  11. Gerten, 2004, Terrestrial vegetation and water balance. Hydrological evaluation of a dynamic global vegetation model, Journal of Hydrology, 286, 249, 10.1016/j.jhydrol.2003.09.029 · DOI · Paper page
  12. Gerten, 2007, Potential future changes in water limitations of the terrestrial biosphere, Climatic Change, 80, 277, 10.1007/s10584-006-9104-8 · DOI
  13. Haxeltine, 1996, BIOME3: an equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types, Global Biochemical Cycles, 10, 693, 10.1029/96GB02344 · DOI · Paper page
  14. Haxeltine, 1996, A general model for the light use efficiency of primary production, Functional Ecology, 10, 551, 10.2307/2390165 · DOI · Paper page
  15. Hickler, 2008, CO2 fertilization in temperate FACE experiments not representative of boreal and tropical forests, Global Change Biology, 14, 1531, 10.1111/j.1365-2486.2008.01598.x · DOI · Paper page
  16. Hoff, H., Falkenmark, M., Gerten, D., Gordon, L., Karlberg, L., Rockström, J., in this issue. Greening the global water system. Journal of Hydrology.
  17. Jungclaus, 2006, Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM, Journal of Climate, 19, 3952, 10.1175/JCLI3827.1 · DOI · Paper page
  18. Kimball, 2002, Responses of agricultural crop mono-cultures to free-air CO2 enrichment, Advances in Agronomy, 77, 293, 10.1016/S0065-2113(02)77017-X · DOI · Paper page
  19. Klein Goldewijk, K., van Drecht, G., 2006. HYDE 3. Current and historical population and land cover. In: Bouwman, A.F., Kram, T., Klein Goldewijk, K. (Eds.), MNP, 2006. Integrated Modelling of Global Environmental Change. An overview of IMAGE 2.4. Netherlands Environmental Assessment Agency (MNP), Bilthoven, The Netherlands. <ftp.//ftp.mnp.nl/hyde/> (accessed 27.02.09).
  20. Lenderink, 2007, Estimates of future discharges of the river Rhine using two scenario methodologies: direct versus delta approach, Hydrology and Earth System Sciences, 11, 1143, 10.5194/hess-11-1145-2007 · DOI · Paper page
  21. Liu, 2007, GEPIC-modelling wheat yield and crop water productivity with high resolution on global scale, Agricultural Systems, 94, 478, 10.1016/j.agsy.2006.11.019 · DOI · Paper page
  22. Liu, 2009, A GIS-based tool for modelling large-scale crop-water relations, Environmental Modelling & Software, 24, 411, 10.1016/j.envsoft.2008.08.004 · DOI · Paper page
  23. Monfreda, C., Ramankutty, N., Foley, J.A., 2008. Farming the planet: 2. Geographic distribution of crop areas, yields, physiological types, and net primary production in the year 2000. Global Biogeochemical Cycles 22, GB1022. · DOI · Paper page
  24. Österle, H., Gerstengarbe, F.-W., Werner, P.C., 2003. Homogenisierung und Aktualisierung des Klimadatensatzes der Climate Research Unit der Universität of East Anglia, Norwich. In: Terra Nostra 2003/6, 6. Deutsche Klimatagung, pp. 326–329.
  25. Portmann, F.T., Siebert, S., Döll, P., 2010, MIRCA2000 - Global monthly irrigated and rainfed crop areas around the year 2000; A new high-resolution data set for agricultural and hydrological modeling, Global Biogeochemical Cycles 24, GB1011, doi:10.1029/2008GB003435. · DOI · Paper page
  26. Postel, 1998, Water for food production: will there be enough in 2025?, BioScience, 48, 629, 10.2307/1313422 · DOI · Paper page
  27. Rockström, 1999, Linkages among water vapor flows, food production, and terrestrial ecosystem services, Conservation Ecology, 3, 1, 10.5751/ES-00142-030205 · DOI · Paper page
  28. Rockström, 2007, Water productivity in rainfed systems. Overview of challenges and analysis of opportunities in water scarcity prone savannahs, Irrigation Science, 25, 299, 10.1007/s00271-007-0062-3 · DOI · Paper page
  29. Rockström, 2007, Assessing the water challenge of a new green revolution in developing countries, PNAS, 104, 6253, 10.1073/pnas.0605739104 · DOI · Paper page
  30. Rockström, R., Falkenmark, M., Karlberg, L., Hoff, H., Rost, S., Gerten, D., 2009. Future water availability for global food production. The potential of green water for increasing resilience to global change. Water Resources Research 45, W00A12. doi:10.1029/2007WR006767. · DOI · Paper page
  31. Rost, 2008, Agricultural green and blue water consumption and its influence on the global water system, Water Resources Research, 44, W09405, 10.1029/2007WR006331 · DOI · Paper page
  32. Rost, S., Gerten, D., Hoff, H., Lucht, W., Falkenmark, M., Rockström, J., 2009. Global potential to increase crop production through water management in rainfed agriculture. Environmental Research Letters 4, 044002. doi:10.1088/1748-9326/4/4/044002. · DOI · Paper page
  33. Siebert, S., Döll, P., in this issue. Quantifying blue and green water uses and virtual water contents in global crop production as well as potential production losses without irrigation – development and application of the Global Crop Water Model (GCWM). Journal of Hydrology.
  34. Sitch, 2003, Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model, Global Change Biology, 9, 161, 10.1046/j.1365-2486.2003.00569.x · DOI · Paper page
  35. Tubiello, 2002, Simulating the effects of elevated CO2 on crops: approaches and 533 applications for climate change, European Journal of Agronomy, 18, 57, 10.1016/S1161-0301(02)00097-7 · DOI · Paper page
  36. Wagner, 2003, Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data, Journal of Geophysical Research, 108, 4611, 10.1029/2003JD003663 · DOI · Paper page
  37. Wall, 2008, Climate change and rural issues. Le plus ça change, le plus c’est la même chose, Journal of Rural and Community Development, 3, 1
  38. Wallace, 1997, Managing water resources for crop production, Philosophical Transactions of Royal Society of London B, 352, 937, 10.1098/rstb.1997.0073 · DOI
  39. Willmott, 1982, Some comments on the evaluation of model performance, Bulletin American Meteorological Society, 1309, 10.1175/1520-0477(1982)063<1309:SCOTEO>2.0.CO;2 · DOI · Paper page
  40. Yang, 2006, Virtual water trade: an assessment of water use efficiency in the international food trade, Hydrology and Earth System Science, 10, 443, 10.5194/hess-10-443-2006 · DOI
  41. Zwart, 2004, Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize, Agricultural Water Management, 69, 115, 10.1016/j.agwat.2004.04.007 · DOI · Paper page

Cited by

See all 255

Metadata

Authors
Fader, M., Rost, S., Müller, C., Bondeau, A., & Gerten, D.
Venue
Journal of Hydrology
Publisher
Elsevier BV
Published
2010-04
Volume
384
Issue
3-4
Pages
218-231
ISSN
0022-1694 (ISSN-L)
OpenAlex
W2034384341
Cited by
255
References
1
FWCI
14.17
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Virtual water content of temperate cereals and maize: Present and potential future patterns. https://app.cochat.ai/papers/10.1016/j.jhydrol.2009.12.011
The paper
Fader, M., Rost, S., Müller, C., Bondeau, A., & Gerten, D. (2010). Virtual water content of temperate cereals and maize: Present and potential future patterns. Journal of Hydrology. https://doi.org/10.1016/j.jhydrol.2009.12.011

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.