ArticlePloS one2023
MaxEnt model strategies to studying current and future potential land suitability dynamics of wheat, soybean and rice cultivation under climatic change scenarios in East Asia.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 24 citations in OpenAlex.
- Climate resilient rubber cultivation zoning via species distribution and spatial optimization.iScience · 2026Article
- Modeling Neglected and Underutilized Crops for Future Food Resilience: A Regional MaxEnt Workflow.Plant-environment interactions (Hoboken, N.J.) · 2026Article
- Spatial distribution and driving factors of scalding tobacco risk in K326 flue-cured tobacco in Yunnan Province, China.Frontiers in plant science · 2026Article
- Thermal Vulnerability and Potential Cultivation Areas of Four Day-Neutral Strawberries in Chile: Implications for Climate Adaptation.Plants (Basel, Switzerland) · 2025Article
- Prediction of the potentially suitable areas of Elymus dahuricus Turcz in China under climate change based on maxent.Scientific reports · 2025Article
- Crop suitability analysis for the coastal region of India through fusion of remote sensing, geospatial analysis and multi-criteria decision making.Scientific reports · 2025Article
- Climate change and its impact on wheat distribution in semi-arid ecosystems: A case study from the Sultanate of Oman.PloS one · 2025Article
- Investigating the Spatial Distribution and Influencing Factors of Non-Grain Production of Farmland in South China Based on MaxEnt Modeling and Multisource Earth Observation Data.Foods (Basel, Switzerland) · 2024Article
- Predicting the distribution of potentially suitable habitat in China forEcology and evolution · 2024Article
- Potential Suitable Habitats of Chili Pepper in China under Climate Change.Plants (Basel, Switzerland) · 2024Article
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4 authors at 1 institution in 2 countries.
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Abstract
Climate change and variability are projected to alter the geographic suitability of lands for crops cultivation. Accurately predicting changes in the potential current and future land suitability distribution dynamics of wheat (Triticum aestivum), soybean (Glycine max) and rice (Oryza sativa) crops due to climate change scenarios is critical to adapting and mitigating the impacts of bioclimatic changes, and plays a significant role in securing food security in East Asia region. This study compiled large datasets of wheat, soybean and rice occurrence locations from GBIF and 19 bioclimatic variables obtained from the WorldClim database that affect crops growth. We recognized potential future suitable distribution regions for crops under the one socioeconomic pathway, (SSP585) for 2021-2040 and 2041-2060, using the MaxEnt model. The accuracy of the MaxEnt was highly significant with mean AUC values ranging from 0.833 to 0.882 for all models evaluated. The jackknife test revealed that for wheat, Bio4 and Bio12 contributed 17.6% and 12.6%, for soybean Bio10 and Bio12 contributed 15.6% and 49.5%, while for rice Bio12 and Bio14 contributed 12.9% and 36.0% to the MaxEnt model. In addition, cultivation aptitude for wheat, soybean, and rice increased in southeast China, North Korea, South Korea, and Japan, while decreasing in Mongolia and northwest China. Climate change is expected to increase the high land suitability for wheat, soybean, and rice in East Asia. Simulation results indicate an average decrease of unsuitable areas of -98.5%, -41.2% and -36.3% for wheat, soybean and rice from 2060 than that of current land suitability. In contrast, the high land suitable for wheat, soybean and rice cultivation is projected to increase by 75.1%, 68.5% and 81.9% from 2060 as compared with current. The findings of this study are of utmost importance in the East Asia region as they present an opportunity for policy makers to develop appropriate adaptation and mitigation strategies required to sustain crops distribution under future climates. Although the risks of wheat, soybean and rice cultivation may be significantly higher in the future because of high temperatures, heat waves, and droughts caused by climate change.
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