| Evaluation of climate suitability of spring maize during the whole growth period in Northeast China |
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| DOI：10.7606/j.issn.1000-7601.2022.03.28 |
| Key Words: climate suitability spring maize effective precipitation agroclimatic elements |
| Author Name | Affiliation | | SHUAI Yanmin | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China
Xinjiang Institute of Ecology and Geography Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
Research Center for Ecology and Environment of Central Asia, Chinese Academy of Science, Urumqi, Xinjiang 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China | | WU Mengjin | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | WU Hao | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | WANG Peijuan | Chinese Academy of Meteorological Sciences, Beijing 100081, China | | PENG Xiuyuan | Institute of Information, Liaoning Academy of Agricultural Sciences, Shenyang, Liaoning 110161, China | | GU Lingxiao | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | TIAN Yanjun | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | SHAO Congying | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | QU Ge | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | SHI Ying | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China | | MU Cen | College of Surveying and Mapping and Geographical Sciences, Liaoning Technical University, Fuxin, Liaoning 123000, China |
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| Abstract: |
| Suitable climatic elements are essential to ensure healthy growth and high and stable yields of spring maize in Northeast China. Based on the influence of temperature, insolation, and precipitation on the growth of spring maize, we constructed the suitability models of temperature, insolation, and precipitation separately. The effective precipitation was introduced to improve the accuracy of the model, and then coupled with temperature and insolation to establish the synthetic climate suitability model I and model II. Then we adopt the available meteorological and phonological data from 1994 to 2013 and the time-series remote sensing monitoring information of the pixel-scale field maize growth from 2003 to 2010 to validate the models through the Hailun and Tailai typical agricultural stations in Northeast China. The most suitable model was applied to estimate the suitability of various climatic elements in different growth periods at 25 stations in 2008 and 2009 in the typical maize planting areas of Northeast China. The results showed that the correlation coefficients (0.58, 0.29) of the synthetic climate suitability of the whole growth period estimated by the model I and NDVI and EVI were better than the model II (0.52, 0.18), revealing that the model I of integrating effective precipitation more effectively captured the stress phenomenon of climatic factors on spring maize growth. Our application results showed that the synthetic climate suitability of the whole growth period in 2008 and 2009 were 0.67 and 0.56, respectively, which was consistent with the actual yield of spring maize in 2008, which was higher than that in 2009. The climate suitability of spring maize in Northeast China was temperature > insolation > effective precipitation during the two years. The temperature and effective precipitation suitability of in Liaoning and Jilin Provinces were mostly in the range of 0.84~0.95 and 0.60~0.80, respectively, which were higher than those in Heilongjiang Province (0.77~0.93 and 0.60~0.65). While insolation suitability was in 0.60~0.80, which was lower than that in Heilongjiang Province (0.80~0.85). In addition, the temperature suitability of the three provinces fluctuated slightly, while the insolation and effective precipitation suitability changed significantly, and the variation was concentrated in -0.40~0.40, which coincided with the increase of drought disasters of the Northeast China in 2009. The climate suitability model has the ability to assist in capturing agroclimatic disaster phenomena and can provide effective information for agricultural production management. |
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