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. 2023 Jan 12:13:1009577.
doi: 10.3389/fpls.2022.1009577. eCollection 2022.

Modeling of the potential geographical distribution of naked oat under climate change

Affiliations

Modeling of the potential geographical distribution of naked oat under climate change

Mingxing Qin et al. Front Plant Sci. .

Abstract

Introduction: Naked oat (Avena sativa L.), is an important miscellaneous grain crop in China, which is rich in protein, amino acids, fat and soluble dietary fiber. The demand for functional foods is gradually increasing as living standards rise, and the output of minor cereals in China is increasing annually. The planting layout of naked oat is scattered and lacks planning, which seriously restricts the development of the naked oat industry. The increase in miscellaneous grain production will not only be impacted by cultivation methods and management techniques, but the potential impact of global climate change needs to be considered. North China is the main area for naked oat production, worldwide.

Methods: In this study, the potential distribution range of naked oat in North China was forecast based on historical distribution data and the Maxent model under climate change conditions. The performance of the model was relatively high.

Results: The results indicated that the most suitable area for the potential geographic distribution of naked oat in North China was 27.89×104 km2, including central and northeastern Shanxi, and northeastern and western Hebei and Beijing, gradually moving northward. The core suitable area increased, and the distribution of naked oat had an obvious regional response to climate warming; the main environmental factors affecting the potential geographic distribution were precipitation factor variables (precipitation seasonality (variation coefficient)), terrain factor variables (elevation) and temperature factor variables (temperature seasonality (Standard Deviation*100)).

Discussion: In this study, the Maxent model was used to analyze and predict suitable areas for naked oat in North China, and the distribution of suitable areas was accurately divided, and the main climatic factors affecting the distribution of naked oat were identified. This research provides data support and theoretical support for the optimal planting zone of naked oat in North China.

Keywords: Maxent; North China; climate change; distribution; naked oat.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Distribution of naked oat in North China.
Figure 2
Figure 2
AICc value of parameter combinations based on the ENMeval calculation.
Figure 3
Figure 3
The results of pAUC.
Figure 4
Figure 4
Verification results of the naked oat environmental factor knife cutting method.
Figure 5
Figure 5
Response curve of naked oat existence probability to the main factors.
Figure 6
Figure 6
Suitable growing area for naked oat under modern climatic conditions.
Figure 7
Figure 7
The potential distribution of naked oat under future scenarios.
Figure 8
Figure 8
Changes in naked oat in the climate suitable area (habitat suitability>0.29) from 2020 to 2100 based on different shared socio-economic paths.

References

    1. Bellard Céline, Bertelsmeier C., Leadley P., Thuiller W., Courchamp F. (2012). Impacts of climate change on the future of biodiversity. Ecol. Letters. 15 (4), 365–377. doi: 10.1111/j.1461-0248.2011.01736.x - DOI - PMC - PubMed
    1. Bonan G., Doney S. (2018). Climate, ecosystems, and planetary futures: The challenge to predict life in earth system models. Science 359 (6375), eaam8328. doi: 10.1126/science.aam8328 - DOI - PubMed
    1. Bo X. Z., Shi X. Y., Zhao J. C., Lin Q., Shi M. X., Shang M. F., et al. (2021). Climatic suitability of naked oat (Avena nuda l.) planting in China based on MaxEnt model. J. China Agric. University. 26 (09), 1–10. doi: 10.11841/j.issn.1007-4333.2021.09.01 - DOI
    1. Cheng X. L., Ren L. L., Yangi X. L., Liu S. J., Tong R., Zhou M. (2016). CMIP5 multi-model prediction of spatial and temporal characteristics of temperature and precipitation in China and its sub-regions. Hydrology 36 (04), 37–43.
    1. Chejara V. K., Kriticos D. J., Kristiansen P., Sindel B. M., Whalley R. D. B., Nadolny C. (2010). The current and future potential geographical distribution of hyparrhenia hirta. Weed Res. 50, 174–184.

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