Nonlinear water stress response functions can improve the performance of the DSSAT-CERES-Wheat model under water deficit conditions by Ning Yao, Yingnan Wei, Kunhao Jiang, Jian Liu, Yi Li, Hui Ran, Tehseen Javed, Hao Feng, Qiang Yu, Jianqiang He

“…The original model underestimated early soil moisture and overestimated soil water stress, leading to significant biomass simulation errors. …”
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Eco-friendly sustainable farming: Enhancing summer tomato (Lycopersicon esculentum mill.) yield with jute non-woven agro textile Mulch by Nilimesh Mridha, Dipak Nayak, Ashok Yadav, Tilak Mondal, Rakesh Kr Ghosh, Manik Bhowmick, Atul Singha, D.P. Ray, B.S. Manjunatha, Avijit Das, D.B. Shakyawar, Sourav Paul, Amit Das, Santanu Mukherjee, Ravinder Kumar

“…Jute non-woven fabrics of higher thickness with lower water flow and transmissivity increase soil moisture content over no mulch (∼70 %) and plastic mulch (∼9.3 %). …”
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CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India by N. K. Mangukiya, K. B. Kumar, P. Dey, S. Sharma, V. Bejagam, P. P. Mujumdar, P. P. Mujumdar, A. Sharma, A. Sharma

“…Notably, CAMELS-IND includes available observed streamflow and catchment mean time series of 19 meteorological forcings, including precipitation, maximum, minimum, average temperature, long-wave and short-wave radiation flux, <span class="inline-formula"><i>U</i></span> and <span class="inline-formula"><i>V</i></span> components of wind, relative humidity, evaporation rates from canopy and soil surface, actual and potential evapotranspiration, and soil moisture of four layers (covering depth up to 3 m below ground) for detailed hydrometeorological studies. …”
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Regional-scale precision mapping of cotton suitability using UAV and satellite data in arid environments by Jianqiang He, Yonglin Jia, Yi Li, Asim Biswas, Hao Feng, Qiang Yu, Shufang Wu, Guang Yang, Kadambot.H.M. Siddique

“…Key findings include: (1) Model Performance: The RF model outperformed others in predicting soil water and salt content, with R² values ranging from 0.763 to 0.846 for soil moisture and 0.703–0.843 for soil salinity. It showed greater accuracy at 0–10 cm depth than 10–20 cm depth. (2) Imagery Correlation: A significant correlation was observed between UAV and Sentinel-2A imagery (R² = 0.498–0.745). …”
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Utilizing rice-husk waste as an effective weed control mulch for Holy Basil (Ocimum sanctum ) production in a tropical environment by Vivian Ogechi Osadebe, Uchenna Noble Ukwu, Nathaniel Dauda, Ifesinachi M Nwamba, Amos Ejike Ede, Anthony I Onah

“… ·       Medicinal herbs like Ocimum sanctum can be cultivated effectively using rice-husk mulch which provides advantages  such as soil moisture retention, weed suppression, and improved growth performance.…”
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The Effect of Heat-treated Poultry Pellets and Composted Poultry Litter on E. coli Survival in Southeastern US Soils: Florida and Georgia by Karuna Kharel, Cameron A. Bardsley, Charles Bency Appolon, Laurel L. Dunn, Govindaraj Dev Kumar, Krishna Prabha, Manan Sharma, Michelle D. Danyluk, Keith R. Schneider

“…Weak to moderate correlations were observed for rainfall and soil moisture and their effect on E. coli survival; no other weather factors were impactful. …”
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The effect of groundwater depth on topsoil organic matter mineralization during a simulated dry summer in northwestern Europe by A. Françoys, A. Françoys, O. Mendoza, J. Hu, P. Boeckx, W. Cornelis, S. De Neve, S. Sleutel

“…However, the net effect on topsoil C mineralization is complex and warrants further investigation, including the integration of processes related to fluctuations in soil moisture following rewetting.</p>…”
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Vegetable Crop Growth Modeling in Digital Twin Platform Based on Large Language Model Inference by ZHAO Chunjiang, LI Jingchen, WU Huarui, YANG Yusen

“…This dataset incorporates continuous data streams such as soil moisture, nutrient levels, climate variables, pest occurrence, and historical growth records. …”
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Forest fire hazard assessment based on forest typology by Volodymyr P. Voron, Andriy D. Kuzyk, Sergiy V. Ivashyniuta, Yilia R. Tsipan

“…When assessing the potential fire hazards, a contradiction arises because the fire risk is minimal in wet hygrotopes, but on the other hand, the total supply of terrestrial combustible materials is greater in forest types with excessive soil moisture, where organic matter decomposes. In these conditions, along with the accumulation of fallen needles and branches, an important factor in the fire hazard is also the role of the live ground cover. …”
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Wireless Sensor Network of Typical Land Surface Parameters and Its Preliminary Applications for Coarse-Resolution Remote Sensing Pixel by Baocheng Dou, Jianguang Wen, Xiuhong Li, Qiang Liu, Jingjing Peng, Qing Xiao, Zhigang Zhang, Yong Tang, Xiaodan Wu, Xingwen Lin, Dongqin You, Hua Li, Li Li, Yelu Zeng, Erli Cai, Jialin Zhang

“…Time series observations of typical land surface parameters, including UVR, PAR, SWR, LWR, albedo, and land surface temperature (LST) from RadNet, multilayer soil moisture and soil temperature from SoilNet, and fraction of vegetation cover (FVC), clumping index (CI), and leaf area index (LAI) from VegeNet, have been obtained and shared on the web. …”
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La flore sauvage du boulevard Dr Henri-Henrot à Reims/Durocortorum : approche carpologique de l’environnement du site et des productions de denrées végétales by Véronique Matterne, Clémence Pagnoux

“…For 45 of the 49 grasslands, the soil moisture sensitivity index is around an average of 6 (hygrophytes) and range from 3 to 9, so they are more likely to have been wet grasslands, possessing variable soil quality and water content. …”
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Canopy structure modulates the sensitivity of subalpine forest stands to interannual snowpack and precipitation variability by M. Berkelhammer, G. F. M. Page, G. F. M. Page, F. Zurek, C. Still, C. Still, M. S. Carbone, M. S. Carbone, W. Talavera, L. Hildebrand, J. Byron, K. Inthabandith, A. Kucinski, M. Carlson, K. Foss, W. Brown, R. W. H. Carroll, A. Simonpietri, M. Worsham, I. Breckheimer, I. Breckheimer, A. Ryken, R. Maxwell, R. Maxwell, D. Gochis, M. S. Raleigh, E. Small, K. H. Williams, K. H. Williams

“…Using the sap velocity data along with supporting measurements of soil moisture and snow depth, we propose three mechanisms that lead to stand density modulating the tree-level response to changing seasonality of precipitation: </p><ol><li> <p id="d2e396"><span id="page702"/>Topographically mediated convergence zones have consistent access to recharge from snowmelt which supports denser stands with high water demands that are more reliant and sensitive to changing snow.…”
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Suitable Sowing Date Method of Winter Wheat at the County Level Based on ECMWF Long-Term Reanalysis Data by LIU Ruixuan, ZHANG Fangzhao, ZHANG Jibo, LI Zhenhai, YANG Juntao

“…However, the sowing date for winter wheat was still influenced by factors such as soil moisture, topography, and seeding quality. The suitable sowing date for a specific year still needed to be adjusted to local conditions and flexibly sown based on the specific situation of that year.…”
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