气候变化背景下中国不同区域玉米生育期高温胁迫时空变化特征

doi:10.3724/SP.J.1006.2023.23007

Abstract

Abstract:

Analysing the spatial-temporal distribution and the change of high temperature damage during crop growth period is of great significance for developing management techniques of crop cultivation under climate change. Based on the daily data of 558 meteorological stations and maize phenology period in China, we explored the spatiotemporal variation of heat degree days (HDD) and its trend of different maize growth periods from 1961 to 2020. The results showed that the HDD exhibited a general increased trend during the whole growth period and every growth stage of maize in China from 1961 to 2020, with HDD increased 1.19-9.27℃ d (10a)^-1 of different farming regions. The HDD increase range was higher in Sichuan Basin farming region, south China farming region and northwest farming region, and it increased significantly by 8.79, 9.27, and 5.81℃ d (10a)^-1, respectively. The change trend of HDD at different growth stages had obvious variation in different regions. HDD increased greatly in the early growth period of northern farming regions, while HDD increased greatly in late growth period of southern farming regions. During maize sowing-tassel period, the HDD increased significantly by 2.67 and 2.00℃ d (10a)^-1 in northwest farming region and north China farming region, respectively, and it increased by 1.41℃ d (10a)^-1 in Huang-Huai-Hai farming region, both of them were higher than that in other farming regions. During tassel-milk period, the HDD of southern farming regions increased greatly, which increased significantly by 3.68 and 2.11℃ d (10a)^-1 in south China farming region and Sichuan Basin farming region, respectively. During milk-maturity period, the HDD of southern farming regions increased higher by 0.88-5.31℃ d (10a)^-1 than -0.01-0.59℃ d (10a)^-1 in northern farming regions. In conclusion, to cope with the increasing risk of high temperature stress of maize, northern farming regions should focus on the impact of high temperature during maize sowing-milk period, and southern farming regions should focus on the impact of high temperature after maize tasseled.

Key words: maize, growth stages, high temperature stress, temporal and spatial variation, farming region

SHANG Meng-Fei, SHI Xiao-Yu, ZHAO Jiong-Chao, LI Shuo, CHU Qing-Quan. Spatiotemporal variation of high temperature stress in different regions of China under climate change[J].Acta Agronomica Sinica, 2023, 49(1): 167-176.

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References 43

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区域 Region	高温度日HDD (℃ d)
区域 Region	播种-抽穗期 Sowing-tassel	抽穗-乳熟期 Tassel-milk	乳熟-成熟期 Milk-maturity	全生育期 Whole growth period
春玉米Spring maize
东北农林区Northeast farming region	5.4±5.9	2.4±3.2	0.2±0.2	8.0±7.4
北部中低高原农牧区North China farming region	17.1±10.4	8.2±4.1	1.7±2.0	27.0±13.8
西北农牧区Northwest farming region	42.5±13.0	36.6±11.1	15.3±5.6	94.4±21.7
四川盆地农作区Sichuan Basin farming region	9.5±6.7	18.1±11.3	34.8±17.7	62.4±29.5
西南中高原农林区Southwest farming region	14.9±5.0	12.9±5.5	16.0±6.1	43.8±13.1
长江中下游平原农作区Yangtze Plain farming region	9.3±4.9	21.9±12.6	38.4±12.5	69.7±23.3
江南丘陵农林区Jiangnan farming region	6.9±4.8	16.4±8.7	32.8±10.5	56.1±19.2
华南农林渔区South China farming region	12.4±4.9	14.7±9.5	16.5±9.7	43.6±20.4
夏玉米Summer maize
黄淮海平原农作区Huang-Huai-Hai farming region	53.8±18.9	12.1±8.0	2.7±2.9	68.6±24.8

区域 Region	高温度日倾向率Trend of HDD (℃ d (10a)^-1)
区域 Region	播种-抽穗期 Sowing-tassel	抽穗-乳熟期 Tassel-milk	乳熟-成熟期 Milk-maturity	全生育期 Whole growth period
春玉米Spring maize
东北农林区Northeast farming region	0.76	0.45	-0.01	1.19
北部中低高原农牧区North China farming region	2.00^*	1.05^**	0.08	3.13^*
西北农牧区Northwest farming region	2.67^*	2.55^**	0.59	5.81^**
四川盆地农作区Sichuan Basin farming region	1.37^**	2.11^*	5.31^**	8.79^**
西南中高原农林区Southwest farming region	1.31^**	1.03^**	1.38^*	3.73^**
长江中下游平原农作区Yangtze Plain farming region	0.59	0.15	0.88	1.63
江南丘陵农林区Jiangnan farming region	-0.15	0.77	2.11^**	2.73^*
华南农林渔区South China farming region	1.23^**	3.68^**	4.36^**	9.27^**
夏玉米Summer maize
黄淮海平原农作区Huang-Huai-Hai farming region	1.41	0.79	0.22	2.42

Spatiotemporal variation of high temperature stress in different regions of China under climate change

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