Evaluating the performance of five global gridded potential evapotranspiration products in hydrological simulation: Application in the upper Han River Basin by Minxin Li, Lei Zou, Jun Xia, Hui Cao, Hairong Zhang, Benjun Jia, Jiarui Yu

“…Additionally, the effect of different PET inputs on simulated runoff components, evapotranspiration, and soil moisture were investigated. New hydrological insights for the region: The results indicate that there are large discrepancies in spatial-temporal distribution of five PET products. …”
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Using satellite-based Sun-induced chlorophyll fluorescence and spectral reflectance for improving terrestrial CO2 flux estimates of India by Aparnna Ravi, Dhanyalekshmi Pillai, Christoph Gerbig, Stephen Sitch, Sönke Zaehle, Vishnu Thilakan, Chandra Sekhar Jha, Thara Anna Mathew

“…We improve these model predictions by additionally using satellite-based solar-induced chlorophyll fluorescence (SIF), soil temperature , and soil moisture specific to the vegetation classes of the domain. …”
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Mutual-information of meteorological-soil and spatial propagation: Agricultural drought assessment based on network science by Qingzhi Wen, Xinjun Tu, Lei Zhou, Vijay P Singh, Xiaohong Chen, Kairong Lin

“…Results showed that the meteorological and soil mutual-information index was superior to the standardized soil moisture index in monitoring agricultural drought. …”
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Effects of irrigation and organic fertilizer on pumpkin yield, quality, and water-fertilizer use efficiency in arid northwest China by Meng Yin, Jinxia Zhang, Liangliang Du, Lin Ding, Tao Zhong, Pengliang Tian, Runheng Yang

“…The results showed that the organic fertilizer application significantly enhanced soil moisture content, which peaked at a depth of 50 cm. …”
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Influence of climate factors on the formation of radial increment of walnut wood by Leonid Osadсhuk, Volodymyr Mahuran, Liubov Kondratiuk

“…This factor plays an essential role in ensuring a favorable soil moisture regime. In the second half of the growing season (July-August), on the contrary, a decrease in precipitation was observed, which has an ambiguous effect on the productive reserves of moisture in the soil. …”
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Optimizing Growth and Yield in Mulched Cotton Through Aerated Subsurface Drip Irrigation in Southern Xinjiang by Yuxi Zhang, Baolin Yao, Peining Niu, Zhu Zhu, Yan Mo, Fayong Li, Sanmin Sun

“…The findings revealed that ASDI significantly promoted soil moisture depletion from 0 to 40 cm during the cotton flowering and boll opening stages. …”
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Effects of Sewage Sludge Compost on Carbon, Nitrogen, Phosphorus, and Sulfur Ratios and Soil Enzyme Activities in a Long-Term Experiment by Csilla Almási, Viktória Orosz, Timea Tóth, Mostafa M. Mansour, Ibolya Demeter, István Henzsel, Zsolt Bogdányi, Tamás András Szegi, Marianna Makádi

“…The results showed that basic soil parameters (pH, OM content, E4/E6 ratio, NO₃-NO₂-N, AL-P₂O₅, and soil moisture content) were increased, along with the SSC doses in soil for the rye. …”
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The hydraulic performance and clogging characteristics of a subsurface drip irrigation system operating for five years in the North China plain by Li Zaiyu, Mo Yan, Gao Hao, Gong Shihong, Zhang Yanqun, Li Guangyong, Wu Feng

“…Owing to the well-designed pressure regulation and air exhaust system used in this SDI research, along with higher soil moisture in the crop root zone, the negative linear relationship between Dra and mc was most significant (p < 0.01). …”
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A novel agricultural drought index based on multi-source remote sensing data and interpretable machine learning by Hao Chen, Ni Yang, Xuanhua Song, Chunhua Lu, Menglan Lu, Tan Chen, Shulin Deng

“…Here, we used solar-induced chlorophyll fluorescence, water balance, soil moisture, and land surface temperature to develop a new integrated remote sensing drought index, namely interpretable machine learning drought index (IMLDI), based on the Bayesian optimized tree-based Light Gradient Boosting Machine and SHapley Additive exPlainations. …”
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Linking winter wheat (Triticum aestivum L) root traits and root water uptake with electrical resistivity tomography by Huijie Gu, Yanzhe Wang, Luca Peruzzo, Baoru Li, Yang Lu, Xiuwei Liu

“…It was observed that wheat tends to utilize deep soil moisture in later growth stages, even with sufficient water conditions. …”
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Response of Soil Respiration to Snowfall in a Kubuqi Salix Plantation Forest of During Freeze-thaw Period by WANG Jixuan, LAN Xiaozhen, PEI Zhiyong, ZHANG Junyao, WANG Xinping, LI Ying, WANG Haichao, SUN Xiaotian, SUN Kai

“…Soil respiration was significantly correlated with soil temperature under each treatment, and the single factor model could explain 51%~68% of the variation in soil respiration (p<0.001), but the correlation between soil respiration and soil moisture was not significant. The two-factor composite model of soil temperature and moisture explained soil respiration better than the single factor model, and it explained 81% of the variation in soil respiration. …”
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Optimizing plant density to improve the soil microenvironment and enhance crop productivity in cotton/cumin intercropping systems by Humei Zhang, Humei Zhang, Liwen Tian, Xianzhe Hao, Nannan Li, Xiaojuan Shi, Feng Shi, Yu Tian, Wenbo Wang, Honghai Luo

“…Through a two-year field experiment, the effects of cotton-cumin intercropping on the soil moisture, temperature, salt, respiration rate, weed density, cotton yield formation and intercropping advantages were studied.Results and discussionCompared with the CK treatment, the ID2 treatment decreased the water content in the 0–30 cm soil layer by 8.3%, increased the water consumption by 9.1%, increased the soil temperature by 0.5°C, and decreased the electrical conductivity of the 0–15 cm soil layer by 17.7%. …”
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Climate Warming Controls Vegetation Growth with Increasing Importance of Permafrost Degradation in the Northern Hemisphere During 1982–2022 by Yadong Liu, Xiaodong Wu, Tonghua Wu, Guojie Hu, Defu Zou, Yongping Qiao, Xianhua Wei, Xiaoying Fan, Xuchun Yan

“…Climate factors affect multiple aspects of the environment, while permafrost degradation has a significant impact on soil moisture and nutrient availability, both of which are crucial for ecosystem health and vegetation growth. …”
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Temporal dynamics of climate sensitivity of litter decomposition in a semi-arid grassland by Zhen Li, Fuwei Wang, Yue Wen, Chenglong Ye, Peng Wang, Tongshuo Bai, Xudong Gu, Liang Guo, Yunpeng Qiu, Yi Zhang, Yi Wang, Shuijin Hu

“…The temperature sensitivity of decomposition was affected by both soil moisture and N addition. Increased precipitation significantly accelerated litter decomposition initially, but not in the later stages. …”
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Effects of Brackish Water with Different Sodium-Potassium Ratios on Soil Water-Salt Characteristics and Winter Wheat Growth by GAO Weiqiang, ZHANG Tibin, TONG Jiankang, LIU Zhenyuan, LIANG Qing, KUANG Yuxin, CHENG Yu, FENG Hao

“…[Results] Compared with CK, the 0-40 cm soil moisture content under T1, T2 and T3 brackish water irrigation increased by 19%, 8% and 14% (p<0.05), respectively. …”
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Digital technologies for water use and management in agriculture: Recent applications and future outlook by Carlos Parra-López, Saker Ben Abdallah, Guillermo Garcia-Garcia, Abdo Hassoun, Hana Trollman, Sandeep Jagtap, Sumit Gupta, Abderrahmane Aït-Kaddour, Sureerat Makmuang, Carmen Carmona-Torres

“…UAV-mounted multispectral cameras) can accurately monitor soil moisture to optimise irrigation scheduling, while AI-driven models (e.g. random forest or neural networks) can predict groundwater recharge or forecast rainfall events. …”
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Elevation gradient effects on grassland species diversity and phylogenetic in the two-river source forest region of the Altai Mountains, Xinjiang, China by Jing Che, Jing Che, Mao Ye, Mao Ye, Qingzhi He, Qingzhi He, Guoyan Zeng, Guoyan Zeng, Miaomiao Li, Miaomiao Li, Weilong Chen, Weilong Chen, Xiaoting Pan, Xiaoting Pan, Jiaorong Qian, Jiaorong Qian, Yexin Lv, Yexin Lv

“…Further analysis reveals significant correlations between species diversity and environmental factors such as temperature, precipitation, forest cover, and soil moisture. However, no environmental factors were found to have a significant correlation with the phylogenetic indices.…”
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Interactions of fertilisation and crop productivity in soil nitrogen cycle microbiome and gas emissions by L. Kuusemets, Ü. Mander, J. Escuer-Gatius, A. Astover, K. Kauer, K. Soosaar, M. Espenberg

“…Our study did not find soil moisture to be significantly linked to N<span class="inline-formula">₂</span>O emissions. …”
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Cyberinfrastructure for machine learning applications in agriculture: experiences, analysis, and vision by Lucas Waltz, Sushma Katari, Chaeun Hong, Adit Anup, Julian Colbert, Anirudh Potlapally, Taylor Dill, Canaan Porter, John Engle, John Engle, Christopher Stewart, Hari Subramoni, Scott Shearer, Raghu Machiraju, Osler Ortez, Laura Lindsey, Arnab Nandi, Sami Khanal

“…The data collected and processed from this study were used to train ML models to make predictions of crop growth stage, soil moisture, and final yield.ResultsThe exercise of processing this dataset resulted in four CI components that can be used to provide higher accuracy predictions in the agricultural domain. …”
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Study on the Synergistic Regulation Model for <i>Lycium barbarum</i> Berries Under Integrated Irrigation and Fertigation in Northwest Arid Regions by Yanlin Ma, Huile Lv, Yanbiao Wang, Yayu Wang, Minhua Yin, Yanxia Kang, Guangping Qi, Rong Zhang, Jinwen Wang, Junxian Chen

“…The coordinated application of water and nitrogen significantly influenced yield and efficiencies (<i>p</i> < 0.05) by modifying rhizosphere conditions such as soil moisture, temperature, salinity, and enzyme activities. …”
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