Chinese Journal of Agrometeorology

Analysis of Agroclimatic Characteristics of Wine Grape in Ili Region

YANG Fan, LIU Yuan, LIU Bu-chun, YANG Xing-yuan, CUI Cheng, CHEN Yu-bao

2023, 44(04): 261-273. doi:10.3969/j.issn.1000-6362.2023.04.001

Asbtract ( 310 )

PDF (2707KB) ( 228 )

Related Articles | Metrics

Based on the daily climate and wine grape growth data of 10 meteorological stations in wine grape cultivable area of Ili Kazak Autonomous Prefecture, Xinjiang Uygur Autonomous Region, spatial distribution and variation of wine grape climate resources and agricultural meteorological disasters in the study area from 1961 to 2020 were analyzed. Those were calculated by M-K test, trend test and other statistical methods, combined with ArcGIS spatial expression. It can be provided a scientific basis for more efficient and reasonable use of local snow resources to alleviate drought and freezing injury and optimize wine grape overwintering methods. The results showed that: (1) the light and heat resources in Ili region were rich except Zhaosu and Nilke, while the spatial distribution of precipitation was uneven and less than 455mm. The precipitation in the whole area increased by 5.1mm·10y⁻¹ from 1961 to 2020, which generally met the climatic requirements for the wine grapes growth and development. The snowfall during the wine grapes overwinter period in the whole region increased by 7.4mm·10y⁻¹, while the probability of snow cover in 0−10cm was greater than 90%. (2) The frequency and intensity of frost damage decreased during the overwintering period in the whole region from 1961 to 2020, while drought was more serious in July and September in the potential growing season.

Establishment of Meteorological Index Prediction Model for Ornamental Flowers of Korla Fragrant Pear in Xinjiang by Introducing Human Comfort Index

HUANG Juan, HUANG Jian, LI Ying-chun, GU Ya-wen

2023, 44(04): 274-284. doi:10.3969/j.issn.1000-6362.2023.04.002

Asbtract ( 165 )

PDF (455KB) ( 139 )

Related Articles | Metrics

In order to explore the prediction model of the initial flowering period of fragrant pears in Xinjiang, and identify the most suitable flower viewing day of fragrant pears during the flowering period, the meteorological elements and the daily sequences of the initial flowering period of fragrant pears production areas in Aksu, Alar, Luntai and Korla of Xinjiang from 1990 to 2020 were analyzed by the stepwise regression method, and the prediction model of the meteorological index of fragrant pears main production areas in Korla of Xinjiang was established in combination with the human comfort index, which was expected to provide reference for Xinjiang Tourism meteorological service. The results showed that: (1) the composition factors of the prediction model for the initial flowering period of Korla fragrant pear in Xinjiang were the average maximum temperature in March, the soil temperature in depth of 0cm in March, the average temperature in March, and the soil temperature in depth of 40cm in March. There was a linear relationship (negative correlation) between the diurnal sequence and the air temperature at the beginning of flowering in Alar and Korla, and a linear relationship (multiple correlation) between the soil temperature and air temperature in Aksu and Luntai. The probability of model error within 3 days in normal years was 93.5% in Alar, 93.5% in Aksu, 100% in Korla and 96.8% in Luntai. (2) The optimized human comfort index was divided into four levels: the most suitable, sub-suitable, general and unsuitable. The most suitable days for the optimized human comfort index were 22 days in Alar, 24 days in Aksu, 16 days in Korla and 18 days in Luntai before and after the flowering period in 2022. (3) The meteorological index of fragrant pear flower appreciation takes the intersection of the suitable flowering period and the human comfort index, and was divided into four grades: the most suitable (five-star recommended index), sub-suitable (four-star recommended index), general (three-star recommended index) and unsuitable (one-star recommended index). In 2022, the five-star recommended flower viewing days were from April 11 to April 14 in Aksu, from April 10 to April 15 in Alar, from April 10 to April 15 in Korla, and from April 11 to April 14 in Luntai, respectively. The simulation results were in line with the reality. The meteorological index of fragrant pear flower appreciation, combined with the body temperature and the flowering period, had good application value and potential in the follow-up prediction of fragrant pear initial flowering period and the tourism meteorological service in Xinjiang.

Community Response of Arbuscular Mycorrhizal Fungi to Restoration Managements and Sites in Coal Gangue Hills

LI Xia, YE Cheng-cheng, ZHANG Yong-fang, ZHANG Xun, HUO Li-juan, SU Shi-ming

2023, 44(04): 285-294. doi:10.3969/j.issn.1000-6362.2023.04.003

Asbtract ( 191 )

PDF (423KB) ( 88 )

Related Articles | Metrics

Illumina MiSeq high-throughput sequencing approach was applied to investigate arbuscular mycorrhizal fungi (AM fungi) community and relevant soil factors were analyzed in coal gangue hills with different restoration patterns (i.e., artificial restoration and natural restoration coal gangue hill of Jinhua palace in Datong City; natural restoration coal gangue hill of Xinzhou kiln). The results showed: α-diversity (Chao index and Shannon-Weiner index) of AM fungi community differed significantly between artificial restoration coal gangue hill of Jinhua palace and natural restoration coal gangue hill of Xinzhou kiln, but comparable α-diversity was observed between artificial restoration and natural restoration coal gangue hill of Jinhua palace. A total of 67 AM fungal OTUs assigned to 3 genus were recovered with Glomus being the predominant genus in all three coal gangue hills, while Diversispora and Paraglomus populations were exclusive to natural restoration coal gangue hill of Jinhua palace in Datong city. Integrated the permutational multivariate analysis and nonmetric multidimensional scaling analysis suggested that AM fungi community were similar between the two restorations of Jinhua palace coal gangue hill, while the community significantly differed between coal gangue hill of Jinhua palace and Xinzhou kiln. The AM fungal community appeared to significantly correlate with soil total nitrogen, soil organic matter and AM fungi spore density. In conclusion, artificial restoration for 10-20 years can exert a comparable effect on AM fungal community as natural restoration 50-60 years in coal gangue hill of Jinhua palace. AM fungal community of the two locations showed great variance, and soil total nitrogen, soil organic matter and soil AM fungi spore density were the main driving factors.

Comparison of Solar-induced Chlorophyll Fluorescence and Light Use Efficiency between Poplar and Cork Oak

CHENG Xiang-fen, REN Cheng-hao, ZHANG Jin-song, HU Mei-jun, JIANG Li-ya, HU Hai-yang, HUANG Hui, QIAO Yong-sheng

2023, 44(04): 295-304. doi:10.3969/j.issn.1000-6362.2023.04.004

Asbtract ( 266 )

PDF (425KB) ( 93 )

Related Articles | Metrics

Light use efficiency (LUE) is a key parameter connecting light absorption and carbon fixation and understanding the relationship between fluorescence and photosynthesis. Based on the absorbed energy dissipation pathways, LUE can be divided into light use efficiency of photosynthetic (LUE_p) and light use efficiency of fluorescence (LUE_f). The relationship between LUE_p and LUE_f of poplar and cork oak and the differences between species were explored in this study, to better understand the mechanism links between solar-induced chlorophyll fluorescence (SIF) and gross primary productivity (GPP) in deciduous broadleaf forests. In this study, the poplar (Populus alba × Populus gllandulosa) and cork oak (Quercus variabilis BI.) seedlings were used as the objects to measure the divergences in SIF and net photosynthetic rate (P_n) under the same soil moisture and nutrient conditions, to explore the responses of LUE_p/LUE_f to photosynthetically active radiation (PAR). The results showed that, (1) SIF was driven by incident PAR, SIF and PAR were significantly positively correlated. The coefficient of determination (R2) of poplar and cork oak were 0.965 and 0.973, respectively, and LUE_f was higher in poplar. P_n gradually increased with increasing PAR. The light saturation point (LSP) of poplar was significantly higher than that of cork oak, which were 998.59 and 674 μmolCO₂·m⁻²·s⁻¹, respectively. (2) P_n first increased with the increasing SIF, and then the P_n of poplar was gradually saturated, while that of cork oak continued to slowly increase. (3) LUE_p and LUE_f showed significant negative linear correlation, and LUE_p/LUE_f decreased exponentially with increasing PAR, there was no significant difference in the change pattern and amplitude between tree species. During the daytime, with the increase of PAR, LUE_f changed slightly, while LUE_p decreased significantly, and the proportion of light energy allocation to carbon assimilation decreased. Therefore, P_n saturated under high light intensity, SIF and GPP showed exponential correlation in intraday scale, and the exponential relationship was consistent across tree species.

Wind Disaster Risk Assessment of Apple in Hebei Province

SUN Yu-long, JING Hua, SUN Qing, LI Ting, WEI Tie-xin, GAO Shan-shan, YU Yan-wen

2023, 44(04): 305-316. doi:10.3969/j.issn.1000-6362.2023.04.005

Asbtract ( 225 )

PDF (2108KB) ( 208 )

Related Articles | Metrics

Long-term wind observation data from 142 meteorological stations, historical apple wind disaster data, apple growth stages data, etc. were used in this study. Firstly, the optimal machine learning model has been built to extend long-term extreme wind speed. Then the thresholds of different levels of wind disasters in different apple growth stages were determined. The spatial-temporal distribution characteristics and a comprehensive risk assessment of apple wind disasters were carried out. The results showed that the random forest model had the highest accuracy and showed good performance in extending the extreme wind speed time series which is suitable for Hebei province. The thresholds of apple wind disasters were extreme wind speed≥9.1m·s⁻¹ in flowering to fruit set, and extreme wind speed≥7.9m·s⁻¹ in fruit development to mature. Furthermore, 4 levels of wind disasters in different apple growth stages were determined and the validation were in good agreement with the historical records. The overall trends of apple wind disasters were first decreasing and then increasing. In the northwest Hebei province and eastern Cangzhou, the frequencies of wind disasters were higher than in other regions. The high and the severe comprehensive risk areas of apple wind disaster were scattered which accounted for nearly 20% of Hebei and mainly in eastern Zhangjiakou, southeast Hengshui, middle Hengshui, and eastern Shijiazhuang.

Evaluation and Optimization of the Applicability of Four Ci/Ca Models in the FVS Method for Partitioning the Evapotranspiration of Plantation Ecosystems

WANG Xin, ZHOU Yu, GAO Xiang, MENG Ping, ZHANG Jin-song

2023, 44(04): 317-326. doi:10.3969/j.issn.1000-6362.2023.04.006

Asbtract ( 222 )

PDF (829KB) ( 109 )

Related Articles | Metrics

The Flux Variance Similarity (FVS) method can directly decompose the ecosystem evapotranspiration components based on the observation data of the eddy covariance method. This method needs to calculate the key parameter Ci/Ca (ratio of intercellular CO₂ concentration to atmospheric CO₂ concentration), so the research and construction of the Ci/Ca model plays an important supporting role in the application research of FVS method. In this study, the poplar plantation was taken as the research object, and the transpiration was calculated by the concurrent eddy covariance (CEC) method. Four existing Ci models were inverted, evaluated and optimized: Constant Ci model, Constant Ci/Ca model, Linear model and Katul model. The results showed that the diurnal changes of ecosystem transpiration and soil evaporation based on CEC split showed obvious unimodal curves, and the peak of evaporation appeared before the peak of transpiration. The partitioning results for 83 consecutive days also showed obvious diurnal variation characteristics. TR/ET（transpiration/evaportranspiration）, daily transpiration and daily evaporation are 0.78, 2.46 and 0.63mm, respectively; linear regression deviation was calculated between TR measured by CEC and simulated of FVS method based on Const_Ci model, Const_k model, Linear model and Katul model. The deviation rates were 59%, −16%, −70%, and −31%, MAE were 0.18, 0.069, 0.21 and 0.085mm·h⁻¹, and RMSE were 0.25, 0.089, 0.27 and 0.10mm·h⁻¹ ,respectively. Compared with the original Katul model, the optimized Katul model and VPD0.26 model after parameter optimization have significantly improved accuracy in estimating canopy transpiration. MAE were 0.048 and 0.047mm·h⁻¹, and RMSE were 0.058 and 0.057mm·h⁻¹, and Pearson correlation coefficients were 0.83 and 0.73, respectively. It is feasible to apply the optimized Katul model for FVS to directly separate evapotranspiration components of poplar plantation ecosystem.

Current Situation and Research Prospect of Agrometeorology in the New Stage

PAN Zhi-hua

2023, 44(04): 327-332. doi:10.3969/j.issn.1000-6362.2023.04.007

Asbtract ( 449 )

PDF (285KB) ( 375 )

Related Articles | Metrics

At present, China has been entering a new stage of building an agricultural power, and agrometeorology is facing unprecedented challenges and opportunities for development. In view of the new situation of smart agricultural production, food security, green development and climate change, it is urgent for agrometeorology to establish the quantitative relationship between climate factors and agricultural production, make scientific and rational use of climate resources, and improve the utilization rate of climate resources. The major tasks of agrometeorology are to deepen the research content, expand the research field and innovate the theory and method, and the key research directions include agrometeorological basis, climate change adaptation, greenhouse gas emission reduction, efficient utilization of agro-climatic resources, agro-microclimate regulation, and climate-smart agriculture. Agrometeorology needs to accelerate its development and stay ahead of other basic agricultural disciplines.

Analysis Report of Growing Season Agrometeorological Conditions of Autumn Harvest Crops in 2022

HAN Li-juan, HE Liang, ZHAO Xiao-feng, SONG Ying-bo

2023, 44(04): 333-337. doi:10.3969/j.issn.1000-6362.2023.04.008

Asbtract ( 214 )

PDF (669KB) ( 146 )

Related Articles | Metrics

According to the observed meteorological data in 2022 and the historical data from 2467 meteorological stations in China, the agrometeorological evaluation index, the climate suitability degree model and agrometeorological disaster index model were used to evaluate the agrometeorological effects on yield of major autumn harvest crops, such as corn, single rice, later rice, soybean and cotton. The results showed that: the light conditions and thermal conditions were sufficient for crop growth and development in the growing season. The precipitation and soil water conditions were non-uniform distribution in time and space, which restricted the yield increase of corn, rice, soybean and other crops. The impact of low temperature, sunless, continuous rain, rainstorm and flood disasters during the main growth period was light, while the meteorological conditions were favorable for crop development growth and yield. The comprehensive intensity of high temperature in summer in the Yangtze River basin reached the highest level since 1961. The single rice during filling maturation suffered heat injury, while the corn suffered continuous drought in summer and autumn. The rainstorm disasters occurred frequently especially Jilin, Liaoning and Shandong provinces which caused the crops to heavy losses, and some crops were out of harvest.

Table of Content