Changes in the potential multiple cropping system in response to climate change in China from 1960–2010
Open accessAbstract
The multiple cropping practice is essential to agriculture because it has been shown to significantly increase the grain yield and promote agricultural economic development. In this study, potential multiple cropping systems in China are calculated based on meteorological observation data by using the Agricultural Ecology Zone (AEZ) model. Following this, the changes in the potential cropping systems in response to climate change between the 1960s and the 2010s were subsequently analyzed. The results indicate that the changes of potential multiple cropping systems show tremendous heterogeneity in respect to the spatial pattern in China. A key finding is that the magnitude of change of the potential cropping systems showed a pattern of increase both from northern China to southern China and from western China to eastern China. Furthermore, the area found to be suitable only for single cropping decreased, while the area suitable for triple cropping increased significantly from the 1960s to the 2000s. During the studied period, the potential multiple cropping index (PMCI) gap between rain-fed and irrigated scenarios increased from 18% to 24%, which indicated noticeable growth of water supply limitations under the rain-fed scenario. The most significant finding of this research was that from the 1960s to the 2000s climate change had led to a significant increase of PMCI by 13% under irrigated scenario and 7% under rain-fed scenario across the whole of China. Furthermore, the growth of the annual mean temperature is identified as the main reason underlying the increase of PMCI. It has also been noticed that across China the changes of potential multiple cropping systems under climate change were different from region to region.
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.
Integrity signals
Registry
Cites
Statistics
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
It is viable in many regions to intensify cropping by expanding current multiple cropping areas, growing biofuel crops during fallow season, or bringing back previous abandoned multiple cropping.
“It is viable in many regions to intensify cropping by expanding current multiple cropping areas [56,106], growing biofuel crops during fallow season [107,108] or bringing back previous abandoned multiple cropping (which was converted to lower intensity because of high farming cost or other reasons) [56,109].”
From Biomass and biofuels in China: Toward bioenergy resource potentials and their impacts on the environment (2018) · cites this paper as [106]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 35 · Cited by 74
Research works printed but not linked: 5
- [6]Shulan J, Lichun H, Lei X (2011a) The Relationship of Multiple Cropping Index of Arableland Change and National Food Security in the Middle and Lower Reaches of Yangtze River. Chinese Agricultural Science Bulletin 27: 208– 212.
- [8]Jing L, Zhiyuan R (2011) The Monitoring for cropping index of arable land in northwest region using SPOTNDVI-A case of Shaanxi Province. Journal of Arid Land Resources and Environment 25: 86– 91.
- [29]FAO (1984) Guidelines: Land Evaluation for Rain-fed Agriculture. FAO Soils Bulletin. 52.
- [30]FAO (1985) Guidelines: Land Evaluation for Irrigated Agriculture. FAO Soils Bulletin. 55.
- [37]Monteith JL (1981) Evapotranspiration and surface temperature. Quarterly Journal Royal Meteorological Society 107: 1– 27.
- Authors
- Liu, L., Xu, X., Zhuang, D., Chen, X., & Li, S.
- Affiliations
- Chinese Academy of Sciences (CN)
- Corresponding author
- Xu, Xinliang
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-12-03
- Volume
- 8
- Issue
- 12
- Pages
- e80990
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3849037
- OpenAlex
- W1998831224
- Cited by
- 74
- References
- 35
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 7 · 2023: 11 · 2022: 9 · 2021: 10 · 2020: 5 · 2019: 4 · 2018: 8 · 2017: 5 · 2016: 1 · 2015: 5 · 2014: 3
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Institute of Geographic Sciences and Natural Resources Research, CAS Institutional Repository (submittedVersion)
- Funders
- National Key Research and Development Program of China (2010CB950901)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Climate change impacts on agriculture
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Soil and Land Suitability Analysis
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- multiple cropping, climate change impacts on agriculture, triple cropping, rainfed agriculture, irrigated agriculture, temperature rise, China
- MeSH terms
- Agriculture, China, Crops, Agricultural, Climate Change
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