Strategies for Selecting Potentially Effective Biofumigant Species for Optimal Biofumigation Outcomes by Juan Manuel Arroyo, Jose Soler, Rubén Linares, Daniel Palmero

“…These findings support the selection of specific <i>Brassicaceae</i> species adapted to climatic conditions and crop cycles for effective biofumigation in sustainable agricultural practices.…”
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Traceability simulation of drainage in irrigation areas along the south bank of the Yellow River based on the SWAT model by Zheng Hexiang, Han Yujing, Han Yujing, Bao Rongxuan, Wang Biyu, Wu Jiabin, Tian Delong, Yan Haofang, Yan Haofang, Hao Beibei

“…The simulation of drainage sources in irrigation areas at the watershed scale is of great significance for understanding the characteristics and drainage status of irrigation districts under various water-saving irrigation and climatic conditions. In this study, our focus was on the irrigation areas located on the south bank of the Yellow River in Hangjin Banner. …”
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Energy and CO2 fluxes in the early stage development of reclaimed and unreclaimed post-mining areas by Aysan Badraghi, Ondřej Mudrák, Jiří Kučera, Leonardo Montagnani, Jan Frouz

“…By 2023, alder growth (GPP) became the primary factor differentiating the two sites. Climatic variables influenced fluxes similarly at both sites, although correlations were stronger at the unreclaimed site. …”
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Is There Synchronicity in Nitrogen Input and Output Fluxes at the Noland Divide Watershed, a Small N-Saturated Forested Catchment in the Great Smoky Mountains National Park? by H. Van Miegroet, I.F. Creed, N.S. Nicholas, D.G. Tarboton, K.L. Webster, J. Shubzda, B. Robinson, J. Smoot, D. W. Johnson, S. E. Lindberg, G. Lovett, S. Nodvin, S. Moore

“…It also examined the role of climatic conditions in causing interannual variations in the N output signal. …”
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Wild pea (<i>Pisum sativum</i>Pisum sativum L. subsp. <i>elatius</i> (Bieb.) Aschers. et Graebn. s.l.) at the periphery of its range: Zagros Mountains by O. E. Kosterin, V. S. Bogdanova, A. V. Mglinets

“…In such regions, wild pea populations are rare, small in size and suffer from climatic change and land exploitation, hence their focused search is strongly desirable. …”
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Population genomics of a natural Cannabis sativa L. collection from Iran identifies novel genetic loci for flowering time, morphology, sex and chemotyping by Mahboubeh Mostafaei Dehnavi, Annabelle Damerum, Sadegh Taheri, Ali Ebadi, Shadab Panahi, George Hodgin, Brian Brandley, Seyed Alireza Salami, Gail Taylor

“…Results This study investigated the population genomics of a natural cannabis collection comprising male and female individuals from various climatic zones in Iran. Using Genotyping-By-Sequencing (GBS), we sequenced 228 individuals from 35 populations. …”
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Impact of Long-Term Forest Enrichment Planting on the Biological Status of Soil in a Deforested Dipterocarp Forest in Perak, Malaysia by D. S. Karam, A. Arifin, O. Radziah, J. Shamshuddin, N. M. Majid, A. H. Hazandy, I. Zahari, A. H. Nor Halizah, T. X. Rui

“…Deforestation leads to the deterioration of soil fertility which occurs rapidly under tropical climates. Forest rehabilitation is one of the approaches to restore soil fertility and increase the productivity of degraded areas. …”
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Temporal segmentation method for 30-meter long-term mapping of abandoned and reclaimed croplands in Inner Mongolia, China by Deji Wuyun, Liang Sun, Zhongxin Chen, Luís Guilherme Teixeira Crusiol, Jinwei Dong, Nitu Wu, Junwei Bao, Ruiqing Chen, Zheng Sun, Hasituya, Hongwei Zhao

“…Considering regional climatic, hydrological, and phenological conditions improves sample collection efficiency and cropland status monitoring. …”
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Impact of long-term cyanotoxin exposure on cattle: Biochemical, histological, and oxidative stress assessment by Mounira Bensalem, Amina Amrani, Hadjer Zaidi, Fateh Sedrati, Omar Laouar, Zhi Wang, Hichem Nasri

“…Background and Aim: Cyanobacterial blooms, driven by anthropogenic and climatic changes, pose significant ecological and health threats. …”
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Prevalence of Japanese encephalitis in pigs in Mainland China during 2000–2024: a systemic review and meta-analysis by Xue-Tong Liu, Li-Dong Jiang, Yu-Ting Lin, Ran Zhao, Qi Wang, Shu-Ying Zhang, Shu-Ying Zhang, Shu-Ying Zhang, Emad Beshir Ata, Xin Liu, Yuan Wang, Zi-Xuan Liu, Cui Xu, Ying Xiao, Yi-Fan Wang, Xue Leng, Qing-Long Gong, Rui Du, Rui Du, Rui Du

“…While the lowest was 2.5% (95% CI: 0.2–6.6) in temperate climates. Serum samples showed the highest prevalence 38.1% (95% CI: 27.9–48.9), and ELISA testing had a higher detection rate 38.2% (95% CI: 24.5–52.9). …”
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Performance augmentation of triangular solar still using sensible energy storage materials: thermo-exergo-economic and sustainability analyses by Sharma, Naveen, Patel, Ashutosh, Deep, Raman, Gautam, Shivam

“…Four different configurations—standard TSS, TSS with bricks (TSS-B), TSS with paper napkins wrapped around the brick (TSS-NB), and TSS with sand bed (TSS-S)—were tested under the climatic conditions of New Delhi (28° 35' N, 76° 54' E), India, during October 2023. …”
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Impacts of IOD and ENSO on the phytoplankton’s vertical variability in the Northern Indian Ocean by Qiwei Hu, Xiaoyan Chen, Xianqiang He, Yan Bai, Tingchen Jiang, Yu Huan, Zhanlin Liang

“…The Indian Ocean Dipole (IOD) and El Niño–Southern Oscillation (ENSO) are the primary climatic modes that profoundly impact physical and biological processes in the Northern Indian Ocean (NIO). …”
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A life stage resolved habitat model for guiding seagrass restoration in coastal lagoons by Sherry Y. Zhai, Michelle Waycott, Ryan Lewis, Emma O’Loughlin, Paul L.A. Erftemeijer, Peisheng Huang, Justin D. Brookes, Claire Sims, Zhenming Zhang, Matthew R. Hipsey

“…High-resolution predictions from a coupled hydrodynamic-habitat suitability model were validated against individual life stage data and reproductive outcomes (sexual and asexual) under both typical and atypical (La Niña) climatic conditions, achieving statistically significant (P < 0.05) correlation coefficients for all life stages under typical conditions. …”
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The use of kinematic photogrammetry and LiDAR for reconstruction of a unique object with extreme topography: a case study of Dutchman’s Cap, Baltic seacoast, Lithuania by Birutė Ruzgienė, Lina Kuklienė, Indrius Kuklys, Dainora Jankauskienė, Dainora Jankauskienė, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada, Sérgio Lousada

“…This area has been significantly eroded by the sea due to the climatic changes of the last few decades, which have caused substantial damage to the coastline. …”
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Spatiotemporal changes of ecosystem health and the impact of its driving factors on the Loess Plateau in China by Xuepeng Zhang, Taixia Wu, Qiqi Du, Ninglei Ouyang, Wei Nie, Yang Liu, Peng Gou, Guangchao Li

“…The efficient machine learning model (light gradient boosting machine model) and the variable explanation model (SHapley Additive exPlanation model) are combined to quantify the functional relationships between various driving factors and EH, thereby exploring the impacts of climatic factors, socioeconomic development (SED), and ecological restoration projects (ERP) on EH. …”
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Previous Crop and Cultivar Effects on Methane Emissions from Drill-Seeded, Delayed-Flood Rice Grown on a Clay Soil by Alden D. Smartt, Kristofor R. Brye, Christopher W. Rogers, Richard J. Norman, Edward E. Gbur, Jarrod T. Hardke, Trenton L. Roberts

“…In order to adequately estimate CH4 emissions, it is important to include data representing the range of environmental, climatic, and cultural factors occurring in rice production, particularly from Arkansas, the leading rice-producing state in the US, and from clay soils. …”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…Accurate and reliable precipitation forecasting is vital for effective water resource management and disaster mitigation, especially in geographically diverse and climatically complex regions like China. This study proposes an advanced methodology for medium- and long-term hydrological forecasting by integrating multiple machine learning models through a modified stacking ensemble strategy (MSES). …”
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Genome-Wide Association Study on Imputed Genotypes of 180 Eurasian Soybean <i>Glycine max</i> Varieties for Oil and Protein Contents in Seeds by Nadezhda A. Potapova, Irina V. Zorkoltseva, Alexander S. Zlobin, Andrey B. Shcherban, Anna V. Fedyaeva, Elena A. Salina, Gulnara R. Svishcheva, Tatiana I. Aksenovich, Yakov A. Tsepilov

“…The data obtained from this study provide valuable genetic markers that can be used in breeding programs to optimize oil and protein content, particularly in varieties adapted to Russian climates, and contribute to the development of high-yielding, nutritionally enhanced soybean cultivars.…”
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Pollutant removal by Canna Generalis in tropical constructed wetlands for domestic wastewater treatment by H.D. Tran, H.M.T. Vi, H.T.T. Dang, R.M. Narbaitz

“…Constructed wetlands have not been commonly used in Vietnam due to the lack of information in the selection of proper types of constructed wetlands, type of reeds, design parameters and performance efficiency, in tropical climates. This paper focuses on <em>Canna generalis,</em> which is a common reed and easy to grow both in water and wet land conditions. …”
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Altitudinal patterns of bacterial communities across soil layers in the alpine meadows of the Qinghai-Tibet Plateau by Zhiyuan Chen, Yeteng Xu, Xinyue Wang, Tong Ma, Yang Liu, Xiang Qin, Wei Zhang, Tuo Chen, Guangxiu Liu, Binglin Zhang

“…This enhanced understanding is critical for advancing knowledge regarding the functional roles of soil microorganisms in alpine meadow ecosystems and their adaptive responses to climatic fluctuations.…”
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