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    20 June 2026, Volume 47 Issue 6
    Response of Spatiotemporal Variations of Meteorological Drought to Changes in Climatic Factors in Gansu Province
    MA Ya-li, NIU Zui-rong, ZHANG Yan-hong
    2026, 47(6):  813-826.  doi:10.3969/j.issn.1000-6362.2026.06.001
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    Based on the measured data from ground monitoring meteorological stations in Gansu province, this paper used the standardized precipitation evaporation index (SPEI) to explore the temporal and spatial evolution characteristics of meteorological drought at the annual and seasonal scales in Gansu. Scatter plots and correlation coefficients were used to reveal the correlation between drought changes and climatic factors. The Gumbel−copula function was selected to construct a joint distribution model of SPEI and precipitation at the annual scale in Gansu province, to explore and identify the spatio−temporal evolution characteristics of drought and the driving climatic factors, and to clarify the possibility of precipitation influencing dry and wet changes. The results showed that: (1) from 1984 to 2019, the change in precipitation (P) was not significant, while the average temperature (T) showed a significant upward trend, and potential evapotranspiration (ET0) showed a significant increase in Gansu province. (2) The annual−scale drought index in Gansu showed a non−significant downward trend, and it tended to become drier over the years. The overall drought trend tended to be stable. The severity of drought in the Hexi region was more severe than in other areas of Gansu province, and the area around Zhangye had suffered the most severe droughts for many years. (3) The order of drought severity in the four seasons was spring, summer, autumn and winter. The drought in spring was the most severe. The drought severity in the Hexi region was more severe in summer and autumn than in spring and winter, while the Longdong region and Longnan region showed more severe drought in spring and winter. (4) During the research period, the increase in precipitation across the province had raised the possibility of less severe droughts. The possibility of the maximum values of annualscale SPEI and precipitation occurring simultaneously was 91.60%, showing a high degree of correlation. The maximum possibilities of light drought, moderate drought, severe drought and extreme drought were 80.38%, 61.15%, 38.62% and 18.81%, respectively. 

    Homogeneity Test and Revision of Temperature Data in Shandong Province
    LIU Si-yu, GAO Jing, ZHANG Ping, ZHAO Yu-fei, GUO Qing-yan, FENG Teng-qi
    2026, 47(6):  827-840.  doi:10.3969/j.issn.1000-6362.2026.06.002
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    The homogeneity of the temperature series is fundamental to the accuracy of climate change assessments. To enhance the reliability of temperature records in Shandong province, monthly mean, maximum and minimum temperature data from 123 national basic meteorological stations up to 2023 were compiled. A combined detection framework that integrates the Penalized maximum F−test (PMF), Penalized maximum T−test (PMT) and Standard normal homogeneity test (SNHT), supplemented by comprehensive metadata, was applied to perform systematic homogeneity testing and adjustment. The results showed that: (1) inhomogeneity proved spatially ubiquitous with 63, 71 and 114 statistically significant breakpoints were identified in the monthly mean, maximum and minimum temperature series, respectively. Station relocation was the dominant driver of these discontinuities. (2) After applying a one−segment linear regression adjustment, the warming trend for annual mean maximum temperature increased from 0.230℃·10y1 to 0.260℃·10y1, while the trend for annual mean minimum temperature rose from 0.330℃·10y1 to 0.400℃·10y1. (3) Homogenization markedly improved the continuity and homogeneity of individual station records, yet it did not alter the overall warming pattern across Shandong, only subtle spatial differences emerged, most notably an intensifying warming trend in the southeast of Shandong, which was attributed to station relocation. The homogenized dataset developed in this study provides a robust scientific basis for more precise evaluation of climate change risks and impacts in Shandong province.

    Differences Comparison of Daily-Scale NDVI Time Series Reconstruction Methods in Guizhou Province
    TIAN Tong-qi, ZENG Kang, SHEN Xuan-ying, CHEN Lin-lin, LIU Sui-hua
    2026, 47(6):  841-853.  doi:10.3969/j.issn.1000-6362.2026.06.003
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    Dailyscale NDVI time series data can more precisely reflect the temporal dynamics of vegetation. However, the combination of persistent cloud cover and fog in Guizhou province with factors such as satellite revisit cycles has severely compromised its dailyscale NDVI time series data. In this study, dailyscale surface reflectance products from MOD09GQ and MYD09GQ were used to calculate the dailyscale NDVI time series data of Guizhou province in 2023, followed by maximum value compositing. 6 models belonging to three categories of time series reconstruction methodslinear interpolation, SavitzkyGolay (SG) filtering, and Whittaker filteringwere selected. Among them, the SG filter was configured with three different combinations of sliding time window sizes and polynomial fitting coefficients, while the Whittaker filtering was set with two different roughness parameters. The NDVI simulation effects of the 6 models at the single-scene and monthly scales were compared and verified to evaluate their performance in Guizhou province, including gapfilling capability, fidelity, correlation, fitting performance and reconstruction accuracy. The results showed that the 6 models exhibit differences in their performance on the dailyscale NDVI time series data of Guizhou province in 2023. The Linear interpolation performed the best in gapfilling capability. Both Linear interpolation and SG_2_3 demonstrated optimal fidelity with their R² values reaching 1.000. SG_3_5 showed the strongest correlation with the existing 2023 250m×250m monthly NDVI dataset for Guizhou province on a monthly scale, with a correlation coefficient (R) of 0.557. In terms of fitting performance and reconstruction accuracy, the SG_2_15 was the bestperforming method, with simulated NDVI annual average RMSE and MAE being 0.0138 and 0.0871, respectively. These findings indicate that each model has its own strengths, and the most suitable technical approach can be flexibly selected based on specific application requirements and scenario characteristics.

    Temporal Characteristics of Compound Hot and Dry Events and Their Impact on Soil Moisture Across Different Land Use Types in Ningxia
    LI Wen-di, SEKA M. Ayalkibet, KALISA Wilson, ZHANG Jia-hua
    2026, 47(6):  854-866.  doi:10.3969/j.issn.1000-6362.2026.06.004
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    Based on daily temperature and precipitation data from 1981 to 2020, a standardized compound dry−hot index (SCDHI) was constructed. Pearson correlation, Spearman rank correlation and quantile regression methods were used in combination with soil moisture data and land cover types to assess temporal variability in SCDHI and its impact on soil moisture. The results showed that: (1) from 1981 to 2020, compound hot−drought events in Ningxia exhibited a phased and fluctuating upward trend, mainly concentrated in July and August, with an overall increase in frequency. (2) SCDHI and soil moisture exhibited a significant overall positive correlation. Among different land cover types, grassland and farmland showed the strongest correlations (r=0.58), followed by forest (r=0.56) and bare land (r=0.51), indicating stronger ecological buffering capacity in forested areas. (3) Quantile regression results revealed that grassland and bare land were most sensitive to SCDHI in the medium to high quantile range (30%−70%), farmland showed a certain degree of buffering effect due to human intervention, while forest showed no significant response. This method effectively reveals asymmetric relationships that cannot be detected by conventional meanbased analyses. In summary, compound hot−dry events have increased in frequency during the growing season in Ningxia, and their impact on soil moisture shows significant variability across land use types and quantile levels. The findings provide scientific support for regional drought monitoring and land management strategies.

    Review of Capability and Shortcomings of Meteorological Services for Agriculture in the High−standard Farmland Construction
    AI Yan, ZHANG Li, WANG Yu-can, FAN Bao-song
    2026, 47(6):  867-874.  doi:10.3969/j.issn.1000-6362.2026.06.005
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    This study assessed the current status and application progress of agricultural meteorological services in high−standard farmland (HSF) through a systematic review of literature and policies, comprehensive analysis of operational and in−situ station data, and case studies in typical regions including Henan and Inner Mongolia. Authors identified three core capabilities: high−precision monitoring, intelligent decision support and proactive disaster intervention. A closed−loop "monitoring–analysis–decision–intervention" service chain was found to transform HSF management from experience−based to data−driven precision agriculture, achieving seamless fusion of meteorological, soil, crop and operational data. This system enhanced environmental responsiveness, enabling water conservation, green pest control and optimized field operations. By translating model forecasts into actionable workflows, it strengthened risk prevention and advanced disaster intervention upstream, supporting stable and increased yields. Key constraints included insufficient station coverage, incomplete element observations, non−uniform data standards and weak maintenance. The results propose a sustainable service framework driven by mechanistic intelligent forecasting and multi−source model−data fusion. These findings provide actionable insights for optimizing HSF management and ensuring food security.

    Effect of Uncovering and Covering Time of the Insulating Quilts on the Growth and Development of Grapes Based on Automation
    LI Dong-heng, ZHANG Ya-hong, GE Jing, ZHOU Juan, WEI Feng, DANG Zheng-wei, YANG Xue-Long, WANG Jian-xun, MA Rui , HU Hao
    2026, 47(6):  875-892.  doi:10.3969/j.issn.1000-6362.2026.06.006
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    To study the effect of the insulating quilts uncovering and covering time on the microclimate and the growth and development of facility crops in greenhouses, the table grape cultivar 'Wuhecuibao' was used as the experimental material and used the traditional empirical management of the insulating quilts uncovering and covering time served as the control treatment (CK), and designed the program of the insulating quilts uncovering and covering time based on the time of sunrise and sunset at the location of the facility, and the minimum temperature outside the greenhouse at sunrise, as well as the minimum air temperature within 24h, and applied it to the automated control device (T treatment). Microclimate parameters (light, temperature) and fruit quality were compared between CK and T treatments in two greenhouses, aiming to provide a reference for greenhouse environmental control in the automated management of facility fruit trees. The results showed that the T treatment significantly extended the duration of uncovering and covering quilts and received more light during the grape growing period, with an average increase of 7.6% compared to the CK treatment, while photosynthetic active radiation (PAR) and light intensity showed no significant differences. Under the same weather conditions, the average air temperature inside the greenhouse and the underground 20cm soil temperature under the T treatment were higher than those under the CK treatment, and the average air temperature inside the greenhouse and the underground 20cm soil temperature under the T and CK treatments under typical sunny conditions were 21.1°C, 20.0°C and 18.5°C, 17.2°C respectively,and the average air temperature inside the greenhouse and the underground 20cm soil temperature under the two treatments under cloudy conditions were 17.6°C, 16.7°C and 17.4°C, 16.4°C, respectively. During the ripening stage, fruit quality in the T treatment was significantly better than that in the CK treatment. At harvest, the contents of soluble solids and soluble sugar increased by 1.3 and 3.9 percentage points, respectively, and the contents of VC and soluble protein increased by 27.9% and 29.2%, respectively. Grape yields increased by 23.4% per unit area under T treatment compared to CK treatment, resulting in an economic benefit of per hectare reached 1008839.4 yuan, representing a 23.4% increase over CK treatment. Overall, this study provided a reference for the automated management of greenhouse microclimate control in facility fruit trees and an accurate environmental regulation scheme for greenhouse grape cultivation. This solution optimizes microclimate environment of the greenhouse and significantly improves fruit quality, yield and economic benefits.
    Simulation and Future Projections of Tobacco in Southwest China Based on Crop Model
    SUN Qing, ZHAO Yan-xia, ZHANG Yi, CHEN Si-ning, Liu Li, WANG Fei, YANG Shi-yu, ZHANG Tao, DUAN Xue-mei, ZHANG Hai-yan, CHE Xiang-hong
    2026, 47(6):  893-906.  doi:10.3969/j.issn.1000-6362.2026.06.007
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    The southwestern region of China contributes more than 50% of the nation’s total tobacco (Nicotiana tabacum L.) production. Consequently, climate change impacts in this region pose significant risks to tobacco cultivation and production, both domestically and globally. Based on tobacco growing stage and yield observation data from 11 agro−meteorological stations in southwest China from 2016 to 2023, a sensitivity analysis and simulation validation of tobacco growth and yield was conducted by using the WOrld FOod Studies (WOFOST) model. After model validation, the calibrated WOFOST mode was combined with 5 General Circulation Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under 3 Shared Socioeconomic Pathways (SSP245, SSP370 and SSP585). This framework was employed to analyze extreme hazards during the tobacco growing days and to project future changes in tobacco yield and phenology across southwest China for the period 2030–2100 at a spatial resolution of 0.25°×0.25°. The results provided a scientific foundation for adaptive strategies in tobacco cultivation and production under climate change. The results showed that: (1) the WOFOST model exhibited strong performance in simulating the tobacco phenology and yield across southwest China, with normalized root mean square error (NRMSE) values ranging from 11% to 14%. (2) From 2030 to 2100 in the future, tobacco yield and growing days were projected to experience a declining trend. The higher the emission scenario, the more pronounced the reduction in both yield and growing seasons. By the end of the 21st century, tobacco yield and growing days were projected to decline by 3.67%−7.24% and 4.66%−7.78%, respectively, while the associated uncertainties increase over time. The reduction region of yield was concentrated primarily in Yunnan province. (3) With increasing emission scenarios, the correlation between extreme meteorological indicators and the tobacco yield and growing days strengthen, particularly for temperature−related extremes, which exhibited stronger positive or negative correlations than precipitation−related indices. Moreover, the frequency of extreme meteorological events is projected to rise more rapidly in Yunnan than in Guizhou and Sichuan, suggesting that tobacco cultivation in Yunnan may face higher climatic risks in the future.

    Dry Matter Accumulation Response to Row Ratio−density Interactions in Silage Maize−soybean Strip Inter−cropping Systems under Different Altitudes
    LIU Xin, GU Mi-chang, FENG Liang, YONG Tai-wen, YANG Wen-yu, WANG Xiao-chun
    2026, 47(6):  907-920.  doi:10.3969/j.issn.1000-6362.2026.06.008
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    To reveal the dynamic responses of dry matter accumulation (DMA) to silage maize−soybean row ratios and maize planting densities across different altitudes, thereby enabling effective prediction of DMA for this cropping system. A two−year field experiment (2023−2024) in Meigu county, Sichuan province, China was conducted. The experiment adopted a threefactor splitplot design with three altitude levels (1600m, 2000m and 2400m), two maize−soybean row ratios (2:3 and 2:4), and three maize planting densities (52500, 67500 and 82500plants·ha−1). Monocrop dry matter of silage maize and soybeans was determined at six growth stages of silage maize under 18 treatments. Using normalization methods and based on effective accumulated temperature (EAT), a Richards model for DMA in silage maize−soybean intercropping system was fitted through model screening under different altitudes and row ratio−density interactions. In addition, a DMA rate curve was employed to quantitatively analyze the relationship between EAT and DMA dynamics under different altitudes, row ratios and maize density. The results showed that EAT emerged as the key meteorological factor regulating both DMA pre− and postsilking in silage maize−soybean strip intercropping systems at different altitudes. A dynamic simulation model of DMA using relative effective accumulated temperature as the independent variable Richards model:  was developed, with fitting degree(R2)of 0.9967, which could well fit the dynamic of DMA in silage maize−soybean strip inter−cropping. DMA increased with rising altitude, and the 2:3 row ratio treatment exhibited higher DMA than the 2:4 treatment. The population relative dry matter accumulation rate (RV) was divided into three phases: a slow increase phase (0.0−0.2), a rapid increase phase (0.2−0.7) and a decline phase (0.7−1.0). With increasing altitude, the EAT requirement showed phase−dependent variability: it first decreased and then increased during the slow increase phase, gradually increased during the fast increase phase and decreased before increasing again during the decline phase. The maximum relative DMA rate followed the order: high altitude>low altitude>medium altitude. Under the three altitudes, the maximum population relative dry matter accumulation rates in the 2:3 row ratio treatment were 3.52%, 6.36%, and 6.41% higher than those in the 2:4 treatment, and the medium density resulted in 1.96%, 5.47%, and 6.52% greater increases compared to the low density, respectively, indicating that optimal row ratio and maize density interactions could enhance the RV. Throughout the whole growth period, the relative dry matter average accumulation rate (ARV) of silage maize−soybean intercrops did not differ significantly between row ratios at low altitude. In contrast, at medium and high altitudes, the 2:3 row ratio led to significantly higher ARV than the 2:4 ratioRegarding the plant density, ARV at low altitudes gradually decreased with increasing density, while at medium and high altitudes, it first increased and then decreased with increasing planting density.

    Suitable Irrigation Quota Differences for Film Mulched−drip Irrigated Cotton in Southern and Northern Xinjiang Based on Meta−analysis
    ZHU Jia-li, HU Gui-qing, ZHANG Wen-tai
    2026, 47(6):  921-934.  doi:10.3969/j.issn.1000-6362.2026.06.009
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    In order to solve the problem of efficient utilization of water resources in film−mulched drip irrigation cotton fields under film in the arid areas of Xinjiang,this study integrated the yield of 123 groups of seed cotton and66 groups of irrigation water use efficiency (IWUE)data from 40 Chinese and English literatures from 2000 to 2023, quantified the deficit irrigation effect by Meta−analysis,and combined with the entropy weighted−TOPSIS method to construct a multi−objective optimization model including yield,IWUE and economic benefits.In order to reveal the differences in the effects of irrigation quota on yield,IWUE and economic benefits in the cotton areas in southern and northern Xinjiang,the optimal irrigation quota were screened.The results showed that from 2000 to 2023,the average cotton yield of fully irrigated (3897m³·ha−1)and deficit irrigation (2928m³·ha−1)in the cotton area of southern Xinjiang was 5272kg·ha−1 and 4723kg·ha−1,respectively.The IWUE was 1.30kg·m−3 and 1.49kg·m−3, respectively,and the average cotton yields of fully irrigated (4018m3·ha−1)and deficit irrigated (2950m3·ha−1)in northern Xinjiang were 5487 kg·ha−1 and 4241 kg·ha−1,respectively,and the IWUE was 1.39kg·m−3 and 1.56kg·m−3

    respectively.The cotton yield in southern Xinjiang and northern Xinjiang decreased by 11.04%(P<0.01)and 25.38%(P<0.01),respectively,while IWUE significantly increased by 16.23%(P<0.05)and 12.33%(P<0.05).Based on the entropy weight−TOPSIS method,the recommended irrigation quota is 3150m³·ha−1 in the cotton area of southern Xinjiang and 3071m³·ha−1 in the cotton area of northern Xinjiang,both of which were the optimal solutions for the comprehensive benefits of water saving,stable yield,economic benefits and ecological security.

    Prediction of Changes in Potential Suitable Distribution Areas of Peucedanum praeruptorum under Future Climate Scenarios
    ZHANG Qing-xia, LIN Wei , XU Xiang-xin, FAN Guo-chun, LIU Yi-bing, DENG Min, WANG Yu-han, QI Jun-sheng
    2026, 47(6):  935-949.  doi:10.3969/j.issn.1000-6362.2026.06.010
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    Based on 89 geographical distribution records of Peucedanum praeruptorum Dunn and 36 environmental variables (including bioclimatic, topographic and soil factors), this study utilized an optimized the MaxEnt model to predict the suitable habitats of P. praeruptorum under historical (1970–2000) and future (2041–2060, 2061–2080) climate scenarios. The research also identified the dominant climatic factors influencing its distribution, aiming to provide a theoretical foundation for the management, conservation, and rational site selection of this species. The results showed that: (1) the MaxEnt model demonstrated high predictive accuracy, with an Area under the curve (AUC) of the Receiver operating characteristic (ROC) curve of 0.909. (2) The dominant factors influencing the distribution of P. praeruptorum were the mean temperature of the coldest quarter (bio11, 47.9%), annual precipitation (bio12, 30.8%) and temperature seasonality (bio4, 9.4%). These three variables collectively accounted for 88.1% of the contribution. (3) During the historical period, low−suitability areas for P. praeruptorum were primarily distributed in Shandong, Henan, Hebei and Shanxi provinces, while moderate and high−suitability areas were mainly concentrated in central and southern China. Under future climate change scenarios, the extent of potential suitable habitat showed relatively small changes, indicating a limited impact on the geographical distribution of P. praeruptorum. However, the distribution centroid exhibited a slight northeastward shift. (4) Under high−emission scenarios, niche overlap exhibited a declining trend, while niche breadth remained relatively stable across periods. This suggests that P. praeruptorum has broad ecological adaptability, tending to be a generalist species, although it may face reduced resource availability.

    Risk Assessment on High Temperature Heat Damage at Heading Period of Rice in Hunan
    LI Han-mao, XIE Wei, PENG Shuang-zi, CHEN Jian-xiang, ZENG Zi-xin, XU Yi, HE Hong-zhi
    2026, 47(6):  950-962.  doi:10.3969/j.issn.1000-6362.2026.06.011
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    Based on daily maximum temperature data from 96 meteorological stations in Hunan Province during 19612025, this study analyzed the spatiotemporal characteristics of high temperature heat damage and evaluated its risk during the heading stage of early rice and middle rice. The results showed that during 19612025, the harmful heat accumulation temperature during the heading stage of early rice in Hunan exhibited an insignificant increasing trend, with a climate tendency rate of 55.1℃·d·10y1. In contrast, both the the number of occurrences and the number of occurrence days of high temperature heat damage showed a significant upward trend, with climate tendency rates of 6.7times·10y1 and 39.3d·10y1, respectively. For middle rice, the harmful heat accumulation temperature, the number of occurrences and the number of occurrence days of high temperature heat damage during the heading stage all increased significantly during the study period, with climate tendency rates of 222.8℃·d·10y1, 10.7times·10y1, and 88.5d·10y1, respectively. Spatially, the climatic risk of high temperature heat damage during the heading stage of early and middle rice in Hunan was characterized by higher risk in the east and lower risk in the west, with highrisk areas mainly distributed in Hengyang, Zhuzhou and other regions, and lowrisk areas located in southwestern Hunan. These findings clarify the evolution pattern, spatiotemporal distribution characteristics, and climatic risk of hightemperature heat damage during the heading stage of early and middle rice in Hunan, providing important guidance for regional rice meteorological disaster risk management and planting structure adjustment.

    Monitoring and Assessment as well as Risk Early Warning Techniques of Agrometeorological Disasters for Cotton in Xinjiang
    ZHAO Xiao-feng, ZHANG Lei, GUO An-hong, LIU Wei, HE Liang
    2026, 47(6):  963-976.  doi:10.3969/j.issn.1000-6362.2026.06.012
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    Based on daily meteorological data from 75 national basic meteorological stations in Xinjiang from 1981 to 2024, the events of high temperature damage and spring frost damage were selected and the station ratio, duration and harmful accumulated temperature were calculated to analyze the characteristics of high temperature damage and spring frost damage for cotton. Considering the formation mechanism of natural disaster risk and operational risk early warning requirements, sequences of disaster risk indices and historical daily percentages of disaster affected area with relatively high risks were constructed to evaluate disaster intensity, duration and affected area, as well as to determine risk early warning grade indicators and activation thresholds. Subsequently, the accuracy of risk early warning grade indicator thresholds was verified by comparing cumulative probabilities using the Copula function. The results showed that: (1) from 1981 to 2024, the station ratio, cumulative duration and harmful heat accumulated temperature of high temperature damage increased significantly, with climatic tendency rates of 3.7pp·10y−1, 0.8d·10y−1, 2.5℃·d·10y−1, respectively. The station ratio, cumulative duration and harmful cold accumulated temperature of spring frost damage decreased significantly, with climatic tendency rates of 7.1pp·10y−1, −0.7d·10y−1, −2.2℃·d·10y−1, respectively. The high incidence periods of high temperature damage and spring frost damage for cotton in Xinjiang were July 1st to August 10th and April 11th to May 20th, respectively. (2) The historical extreme years for high temperature damage and spring frost damage for cotton in Xinjiang were 2015 and 2003, respectively. Their risk indices were 3.2 and 2.7 higher than those of the second highest historical years, respectively. Among them, approximately 50% of the cotton suffered from high temperature damage or spring frost damage for consecutive 4d during July 2023, 2015 and April 1619, 2003. (3) There was spatial heterogeneity in the risk early warning grade indicator thresholds for cotton in Xinjiang. The high temperature damage showed a distribution characteristic of stronger in the east and weaker in the west, while spring frost damage showed a distribution characteristic of stronger in the northeast and weaker in the southwest. The risk early warning grade indicator thresholds were consistent with the thresholds derived from Copula function. The risk early warning activation thresholds for high temperature damage and spring frost damage for cotton in Xinjiang were 3.0% and 5.1% of the cotton planting area affected by disasters at or above the relatively high risk level, respectively. In summary, the risk early warning grade indicators for high temperature damage and spring frost damage for cotton in Xinjiang are reliable. The risk indices can effectively quantify disaster intensity and determine risk early warning indicators, thereby providing a technical reference for carrying out agrometeorological disaster risk early warning services.

    Comprehensive Weather Index Insurance of High and Low Temperatures for Dongting Biluochun Tea
    ZHAO Jing-xian, TAO Zheng-da, CHEN Xu, REN Yi-fang, LING Jia-wei, GU Jing-yi
    2026, 47(6):  977-986.  doi:10.3969/j.issn.1000-6362.2026.06.013
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    This study aimed to design and validate a meteorological index insurance scheme for Biluochun tea in Dongting mountains, Suzhou, to mitigate losses due to temperature extremes. Based on the daily temperature data (2010−2020) from the National Meteorological Observatory in Wuzhong district and the corresponding annual tea yield data in Dongshan town, induced hazard factors highly correlated with the relative meteorological yield of Biluochun tea were identified across its four critical growth periods. A comprehensive high−low temperature weather index (HLT) was constructed by integrating these factors. The insurance premium rate for this index was determined accordingly, and an insurance claim settlement scheme was then designed. The reasonableness of the proposed scheme was verified, demonstrating its potential to effectively compensate for the yield losses induced by temperature extremes. The results showed that the comprehensive high−low temperature weather index (HLT) showed a strong negative correlation with the relative meteorological yield of Biluochun tea (P<0.01), with a correlation coefficient of −0.946, confirming the high sensitivity of the index in reflecting tea yield reduction rates. The relative meteorological yield of Biluochun tea was found to follow a Gen.extreme value distribution. Based on the probability density function and premium calculation formula, the pure premium rate was 4.63% and the gross premium rate 6.71%. The designed claimed settlement scheme defined six indemnity levels with corresponding compensation ratios of 1%, 5%, 15%, 20%, 38% and 45%. Validation using data from 2021 to 2024 showed a strong alignment between the simulated compensation ratios and the actual yield reduction rates. Over the period of 2011 to 2024, the average loss ratio was 74.5%. After accounting for the insurer's operational costs (approximately 20%), this translates to an average profit margin of about 5.5%, adhering to the "break−even with modest profit" principle. In addition, the average self−retention loss ratio was 372.5%, indicating that the scheme effectively safeguards the income of growers against losses.