Shenao Ma | Rural development | Best Researcher Award

Posted on 02/04/202502/04/2025 by TOT Awards

Mr. Shenao Ma | Rural development | Best Researcher Award

Graduate Student at School of Management, Gansu Agricultural University, China.

Shenao Ma is a graduate student at the School of Management, Gansu Agricultural University. With a keen interest in rural development, his research focuses on sustainable revitalization strategies for traditional communities. His work integrates public policy and cultural identity to create replicable models for inclusive transformation. He has published peer-reviewed articles and is actively involved in field research, particularly in Tibetan villages. His studies bridge ethnographic surveys with policy evaluation, contributing to the advancement of rural modernization frameworks. His dedication to research and innovation positions him as a promising academic in the field of rural governance.

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Education

Shenao Ma is currently pursuing a Master’s degree in Agronomy at Gansu Agricultural University, specializing in rural development. His academic journey is marked by a strong foundation in public policy, sustainable governance, and agricultural economics. He has participated in rigorous coursework and field studies that emphasize integrating cultural-tourism strategies into rural revitalization models. His education is complemented by hands-on research experience, allowing him to develop practical insights into modernizing rural communities. Through his studies, he aims to address policy gaps and propose evidence-based solutions for sustainable rural development in China.

work Experience

Shenao Ma has actively contributed to academic research and fieldwork focusing on rural modernization. He leads field studies in Tibetan villages, analyzing the impact of cultural-tourism integration on local economies. His expertise in policy evaluation and ethnographic research has enabled him to design and implement models that enhance tourism revenue while preserving cultural heritage. He has published peer-reviewed papers that influence provincial policy frameworks. His research coordination and data analysis skills have made significant contributions to community-based decision-making processes, bridging grassroots initiatives with institutional planning.

Research Focus

Shenao Ma’s research revolves around public policy and rural development, with an emphasis on integrating cultural identity and economic growth mechanisms. His studies explore sustainable governance models, ethnographic surveys, and policy evaluation techniques. His key research projects include cultural-tourism integration for revitalizing Tibetan villages and spatial-temporal analysis of rural modernization barriers. His findings have influenced regional policies, showcasing effective strategies for inclusive economic development. A pending patent on community-based decision-support tools reflects his commitment to bridging traditional knowledge with digital governance solutions.

Conclusion

Temporal and Spatial Evolution Characteristics and Obstacle Factor Analysis of Rural Modernization Development Level in China
Sustainability
2025-03-25 | Journal article
Part of ISSN: 2071-1050
Contributors: Mingting Shi; Shenao Ma; Sheng Zhong

Hiwa Hossaini | pollution control | Best Researcher Award

Posted on 24/02/202524/02/2025 by TOT Awards

Assoc. Prof. Dr. Hiwa Hossaini | pollution control | Best Researcher Award

faculty at Kermanshah University of Medical Sciences, Iran.

Assoc. Prof. Dr. Hiwa Hossaini is a distinguished scholar in Environmental Health Engineering, currently serving as an Associate Professor at Kermanshah University of Medical Sciences, Iran. With a strong academic background and extensive research contributions, he has significantly impacted the fields of advanced oxidation, air pollution control, and sanitary engineering. Dr. Hossaini has held several prestigious positions, including Head of the Environmental Health Engineering Department (2019-2021) and a key researcher at the Research Center for Environmental Determinants of Health and the Research Institute for Health. His research focuses on developing sustainable solutions for water treatment, air quality management, and pollution control technologies. He has authored numerous high-impact publications in leading scientific journals, demonstrating his expertise in environmental remediation. His dedication to teaching, research, and academic leadership continues to shape the future of environmental health engineering, influencing both national and international policies in the field.

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Education

Dr. Hiwa Hossaini pursued his higher education in Environmental Health Engineering, earning degrees from some of the most prestigious universities in Iran. He completed his Bachelor of Science (B.Sc.) in Environmental Health at Tehran University of Medical Sciences, where he gained foundational knowledge in sanitation, water quality, and pollution control. His passion for environmental sustainability led him to pursue a Master of Science (M.Sc.) at Kerman University of Medical Sciences, where he specialized in water and wastewater treatment technologies. To further advance his expertise, he obtained a Ph.D. in Environmental Health Engineering from Tarbiat Modares University, Tehran, Iran. His doctoral research focused on advanced oxidation processes and air pollution mitigation, contributing to innovative methods for environmental protection. Through his academic journey, Dr. Hossaini has developed a strong theoretical and practical understanding of environmental challenges, equipping him with the necessary skills to drive impactful research and policy changes.

work Experience

With an extensive career in research and academia, Dr. Hiwa Hossaini has played a pivotal role in environmental health engineering. He began his tenure at Kermanshah University of Medical Sciences as an Assistant Professor (2015-2020) before being promoted to Associate Professor (2020-present). From 2019 to 2021, he served as Head of the Environmental Health Engineering Department, where he led various research projects and academic programs. Since 2018, he has been a key researcher at both the Research Center for Environmental Determinants of Health and the Research Institute for Health, contributing to studies on pollution control, sustainable sanitation, and water treatment solutions. His research collaborations with international experts have resulted in cutting-edge environmental technologies, influencing industry practices and government policies. Through his leadership and scientific contributions, Dr. Hossaini continues to play an integral role in advancing sustainable environmental practices worldwide.

Research Focus

Dr. Hiwa Hossaini’s research primarily revolves around environmental health engineering, with a focus on developing sustainable solutions for pollution control. His work in advanced oxidation processes explores efficient treatment methods for removing organic contaminants from water, significantly improving water quality. He is also deeply involved in air pollution control, researching techniques to minimize airborne pollutants and industrial emissions. His expertise in sanitary engineering allows him to contribute to innovative wastewater treatment solutions. Additionally, he applies nanotechnology in environmental science, utilizing catalytic materials to enhance pollutant degradation. His research integrates experimental studies, computational modeling, and field applications to address critical environmental issues. By collaborating with global experts and research institutions, Dr. Hossaini actively contributes to developing eco-friendly technologies that promote environmental sustainability. His work continues to drive policy reforms and technological advancements in water and air quality management.

Awards & Honors🏆

Dr. Hiwa Hossaini has been widely recognized for his outstanding contributions to environmental health engineering. He has received numerous awards for his innovative research, academic excellence, and impactful publications. He was honored with the Outstanding Researcher Award from Kermanshah University of Medical Sciences for his contributions to air pollution control and wastewater treatment. His work in advanced oxidation processes earned him the Best Paper Award in a prestigious international conference. Additionally, he received the Excellence in Teaching Award for his commitment to educating and mentoring future environmental scientists. His groundbreaking research on catalytic oxidation techniques for pollutant removal won him the Top Innovator Recognition. Dr. Hossaini was also granted a Research Fellowship Award by an international environmental organization for his work in wastewater treatment and sustainability. His contributions continue to shape global approaches to environmental remediation and sustainability.

💡 Skills

Dr. Hiwa Hossaini possesses a diverse skill set that enhances his contributions to environmental health engineering. He is an expert in advanced water treatment technologies, including oxidation processes, filtration methods, and wastewater management. His knowledge of air quality management allows him to develop solutions for reducing airborne pollutants and improving indoor air quality. He has extensive experience in nanomaterial applications, using nanotechnology for environmental remediation and pollutant removal. His proficiency in data analysis and environmental modeling helps in designing effective environmental solutions. As a scientific writer, he has authored numerous high-impact journal articles and conference papers. Additionally, Dr. Hossaini is an experienced educator and mentor, with strong public speaking skills, making him an effective communicator in academic and research settings. His ability to collaborate with international researchers and industry experts further strengthens his impact in the field of environmental sustainability.

Conclusion

Publications to Noted

Removal of heavy metals from paint industry’s wastewater using Leca as an available adsorbent
👥 Authors: M. Malakootian, J. Nouri, H. Hossaini
📅 Year: 2009
📊 Citations: 229

The investigation of the LED-activated FeFNS-TiO2 nanocatalyst for photocatalytic degradation and mineralization of organophosphate pesticides in water
👥 Authors: H. Hossaini, G. Moussavi, M. Farrokhi
📅 Year: 2014
📊 Citations: 161

Pb and Co removal from paint industries effluent using wood ash
👥 Authors: M. Malakootian, A. Almasi, H. Hossaini
📅 Year: 2008
📊 Citations: 119

Comparing the efficacy of UVC, UVC/ZnO and VUV processes for oxidation of organophosphate pesticides in water
👥 Authors: G. Moussavi, H. Hossaini, S.J. Jafari, M. Farokhi
📅 Year: 2014
📊 Citations: 80

Optimization of photocatalytic degradation of methyl orange using immobilized scoria-Ni/TiO2 nanoparticles
👥 Authors: M. Pirsaheb, H. Hossaini, S. Nasseri, N. Azizi, B. Shahmoradi, T. Khosravi
📅 Year: 2020
📊 Citations: 65

Reclamation of hospital secondary treatment effluent by sulfate radicals based–advanced oxidation processes (SR-AOPs) for removal of antibiotics
👥 Authors: M. Pirsaheb, H. Hossaini, H. Janjani
📅 Year: 2020
📊 Citations: 63

Oxidation of diazinon in cns-ZnO/LED photocatalytic process: catalyst preparation, photocatalytic examination, and toxicity bioassay of oxidation by-products
👥 Authors: H. Hossaini, G. Moussavi, M. Farrokhi
📅 Year: 2017
📊 Citations: 60

Preparation and characterization of TiO2 incorporated 13X molecular sieves for photocatalytic removal of acetaminophen from aqueous solutions
👥 Authors: M. Malakootian, M. Pourshaban-Mazandarani, H. Hossaini, …
📅 Year: 2016
📊 Citations: 51

Removal of metoprolol from water by sepiolite-supported nanoscale zero-valent iron
👥 Authors: M. Daneshkhah, H. Hossaini, M. Malakootian
📅 Year: 2017
📊 Citations: 48

Degradation and mineralization of diazinon pesticide in UVC and UVC/TiO2 process
👥 Authors: S.J. Jafari, G. Moussavi, H. Hossaini
📅 Year: 2016
📊 Citations: 47

Shoukat Ali Shah | Glacier melting | Young Scientist Award

Posted on 10/02/202510/02/2025 by TOT Awards

Mr. Shoukat Ali Shah| Glacier melting | Young Scientist Award

PhD (Research Scholar) at Wuhan University , China

Mr. Shoukat Ali Shah is a dedicated researcher and scholar specializing in cartography, geographical information engineering, and water resource management. Currently, he is pursuing a PhD at Wuhan University’s State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing. He holds a Master of Engineering in Hydraulics and Irrigation Engineering from Mehran University of Engineering and Technology (MUET), Jamshoro, and a Bachelor of Engineering in Agricultural Engineering from Sindh Agriculture University, Tandojam. With a strong academic background, Mr. Shah has contributed significantly to scientific research, focusing on hydrology, remote sensing, climate change, and geographic information systems. His expertise spans multiple disciplines, including water resources assessment, flood risk mapping, and agricultural crop monitoring. As a registered engineer with the Pakistan Engineering Council, he actively participates in academic and professional projects, making impactful contributions to the field of environmental engineering and geospatial analysis.

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Education

Mr. Shoukat Ali Shah has pursued an extensive academic journey, focusing on engineering and geographic sciences. He is currently enrolled in a PhD program at Wuhan University (2022-2026), specializing in Cartography and Geographical Information Engineering. His Master of Engineering degree (2014-2018) from MUET Jamshoro emphasized Hydraulics and Irrigation Engineering, with a CGPA of 3.14. He completed his Bachelor of Engineering in Agricultural Engineering from Sindh Agriculture University, Tandojam (2010-2014), securing a first-division ranking. His academic foundation was laid through intermediate education (Pre-Engineering) at BISE Sukkur (2006-2008) and matriculation (Science) at BISE Sukkur (2004-2006), achieving a ‘B’ grade. His final-year theses were based on GIS-based agricultural estimation and irrigation water requirements, demonstrating his commitment to applied research and technical innovation in geospatial sciences and water resource management.

work Experience

Mr. Shoukat Ali Shah has diverse professional experience in research and engineering. He served as a Research Coordinator (2019-2020) at the US-Pakistan Center for Advanced Studies in Water (US-PCASW), MUET Jamshoro, where he worked on hydrological assessments, gauge calibration, and data collection for the Sindh government’s water sector projects. He also worked as a Junior Engineer (2017-2018) at the Management Development Center (MDC), Hyderabad, focusing on discharge measurement, seepage loss evaluation, and GIS-based water resource mapping. Additionally, he contributed as a Research Assistant (2015) at ICARDA & IWREM, where he assessed irrigation water application and system efficiency. Earlier in his career, he gained administrative and event management experience at Fast Youth Network Development (FYND) in 2013. His multidisciplinary roles highlight his expertise in hydrological research, field surveys, GIS applications, and project coordination in water resource management.

Skills

Mr. Shoukat Ali Shah possesses expertise in various technical and research-oriented skills. He is proficient in GIS and remote sensing applications, utilizing software such as ArcGIS, ENVI, and CROPWAT for spatial analysis. His hydrological modeling skills include working with HEC-RAS and ADCP for water flow measurement. He excels in technical report writing, project management, and data analysis. Additionally, he has experience in social survey planning, research paper writing, and scientific presentations. His digital skills extend to programming, statistical modeling, and web-based geospatial tools. His ability to integrate technological advancements with environmental science makes him a valuable asset in hydrology and geographic research.

Research Focus

Mr. Shoukat Ali Shah specializes in remote sensing, GIS, hydrology, and climate change impact analysis. His research focuses on flood susceptibility mapping, glacial lake monitoring, irrigation water management, and land use change detection. His recent studies include evaluating water level fluctuations in glacier-fed lakes using ensemble models, assessing major crop irrigation water requirements, and analyzing climate variability impacts on hydrological systems. He employs advanced geospatial techniques, machine learning, and big data analytics to enhance environmental decision-making. His work contributes to sustainable water resource management, disaster risk reduction, and agricultural planning, aligning with global efforts to address climate change challenges.

Conclusion

Mr. Shoukat Ali Shah is a strong candidate for the Research for Young Scientist Award due to his academic achievements, extensive research contributions, and practical experience in water resource management and GIS applications. His ability to merge scientific research with practical solutions, coupled with international exposure and editorial contributions, makes him a deserving nominee. By focusing on higher-impact publications, leadership roles, and securing research funding, he can further enhance his scientific standing. Nonetheless, his current contributions already make him an exceptional contender for the award.

Publications to Noted

Title: Predicting Water Level Fluctuations in Glacier-Fed Lakes by Ensembling Individual Models into a Quad-Meta Model

Authors: Shah, S.A. (Shoukat Ali); Ai, S. (Songtao); Yuan, H. (Hanxiao)

Journal: Engineering Applications of Computational Fluid Mechanics

Year: 2025

Md Lal Mamud | Hydrogeophysics | Best Researcher Award

Posted on 08/02/202508/02/2025 by TOT Awards

Dr. Md Lal Mamud | Hydrogeophysics | Best Researcher Award

Postdoctorate at Pacific Northwest National Laboratory , United States

Md Lal Mamud is a Postdoctoral Research Associate in the Subsurface Science Group at the Pacific Northwest National Laboratory (PNNL). His expertise lies in hydrology, computational hydroscience, and geophysics, with a focus on predictive modeling of complex geosystems, groundwater flow, contaminant transport, and deep learning applications in geophysical exploration. His academic journey spans across Bangladesh and the United States, earning advanced degrees in Geology, Geophysics, and Hydrology. Throughout his career, he has contributed to cutting-edge Physics-Informed Machine Learning (PIML) models for CO₂ storage capacity prediction, geophysical data analysis, and critical mineral identification using AI-driven approaches. Before joining PNNL, he held research and teaching positions at Los Alamos National Laboratory (LANL), the University of Mississippi, and the National Center for Physical Acoustics (NCPA). His research contributions are widely recognized, with multiple peer-reviewed publications and international conference presentations in the field of hydrogeology and computational modeling.

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Education

Md Lal Mamud holds a Ph.D. in Hydrology and Computational Hydroscience from the University of Mississippi, where he focused on advanced groundwater modeling, uncertainty quantification, and AI-based geophysical exploration. He also earned an M.S. in Hydrology from the same institution, refining his expertise in subsurface modeling and environmental fluid dynamics. Prior to his studies in the U.S., he completed an M.S. in Geophysics from the University of Dhaka, Bangladesh, where he specialized in geophysical imaging, electrical resistivity tomography (ERT), and subsurface exploration. His academic foundation began with a B.S. in Geology from the University of Dhaka, where he developed expertise in earth sciences, structural geology, and remote sensing applications. His multidisciplinary education has provided him with a strong foundation in hydrogeological research, computational geophysics, and AI-driven subsurface modeling.

work Experience

Md Lal Mamud has a diverse background in academic research, national laboratories, and industrial collaborations. Currently, he is a Postdoctoral Research Associate at PNNL, where he is developing Physics-Informed Machine Learning (PIML) models for subsurface flow and contaminant transport. He previously worked as a Graduate Research Assistant at the National Center for Physical Acoustics (NCPA), where he conducted aquifer characterization, groundwater flow modeling, and geophysical data inversion. At Los Alamos National Laboratory (LANL), he contributed to high-performance computing (HPC) models for subsurface flow, uncertainty quantification, and deep learning applications in hydrology. Throughout his academic career at the University of Mississippi, he served as a Graduate Teaching Assistant, instructing courses in hydrogeology, geophysics, and computational modeling. His extensive fieldwork experience includes seismic surveys, electrical resistivity tomography (ERT), self-potential (SP) measurements, and electromagnetic (EM) surveys for environmental and energy applications.

Skills

Md Lal Mamud is proficient in multiple programming languages, including Python, MATLAB, FORTRAN, and Julia, for scientific computing and numerical modeling. His expertise in hydrogeological software includes PFLOTRAN, STOMP, MODFLOW, and PHREEQC, which he uses for groundwater and contaminant transport simulations. He is skilled in geophysical data analysis, utilizing tools such as EarthImager, Res2Dinv, GPRPy, and Petrel for subsurface characterization. His experience in GIS applications and geospatial modeling includes working with QGIS, ArcGIS, and Surfer for spatial data analysis and visualization. Additionally, he has hands-on experience with seismic data acquisition, ground-penetrating radar (GPR), and electromagnetic (EM) surveying techniques. His interdisciplinary skillset allows him to bridge geoscience, computational modeling, and artificial intelligence for innovative research solutions.

Research Focus

Md Lal Mamud’s research focuses on advanced computational modeling of hydrogeological and geophysical processes. He specializes in Physics-Informed Machine Learning (PIML) applications for subsurface flow, contaminant transport, and energy resource exploration. His work in AI-driven geophysical inversion includes deep learning models for CO₂ storage prediction, critical mineral identification, and multiphase flow modeling. He is actively involved in parameter estimation, uncertainty quantification, and high-performance computing (HPC) techniques for geoscience applications. His research also extends to remote sensing and UAV-based geophysical surveys, integrating drone-based electromagnetic and hyperspectral data for mineral exploration and environmental monitoring. With expertise in fluid dynamics, reservoir characterization, and predictive simulation, he aims to develop innovative solutions for sustainable energy and environmental challenges.

Awards & Honors🏆

Md Lal Mamud’s research excellence has been recognized through multiple prestigious awards. He received the David Miller Young Scientist Scholarship (2022) from the American Geophysical Union (AGU) for his outstanding contributions to geophysical modeling. His excellence in teaching earned him the Outstanding Teaching Assistant Award (2022) from the National Association of Geoscience Teachers (NAGT). He was honored with the Outstanding Ph.D. Graduate Student Award (2020 & 2022) at the University of Mississippi, acknowledging his exceptional research contributions. He also received the On To the Future (OTF) Award (2022) from the Geological Society of America (GSA), which supports emerging researchers in the geosciences. Additionally, he has been awarded travel grants and summer research assistantship awards from esteemed institutions to support his participation in international conferences and field research.

Conclusion

Lal Mamud is a strong candidate for the Best Researcher Award, given his outstanding contributions to hydrology, geophysics, AI-driven modeling, and computational sciences. His scientific rigor, technical expertise, and leadership roles make him a distinguished researcher in his field. While he can further enhance his research profile by increasing his publication count and securing independent research funding, his innovative research, academic excellence, and impact on the scientific community make him a deserving nominee for the award.

Publications to Noted

Integrating ERT and SP Techniques for Characterizing Aquifers and Surface-Groundwater Interactions (2024)

Authors: M. L. Mamud, R. M. Holt, C. J. Hickey, A. M. O’Reilly, L. T. Wodajo, P. B. Rad, M. A. Samad

Journal: Groundwater

Quantifying Local and Global Mass Balance Errors in Physics-Informed Neural Networks (2024)

Authors: M. L. Mamud, M. K. Mudunuru, S. Karra, B. Ahmmed

Journal: Scientific Reports

Integrated Agrogeophysical Approach for Investigating Soil Pipes in Agricultural Fields (2022)

Authors: M. A. Samad, L. T. Wodajo, P. B. Rad, M. L. Mamud, C. J. Hickey

Journal: Journal of Environmental and Engineering Geophysics

Agrogeophysical Methods for Identifying Soil Pipes (2021)

Authors: L. T. Wodajo, P. B. Rad, S. I. Sharif, M. A. Samad, M. L. Mamud, C. J. Hickey, G. V. Wilson

Journal: Journal of Applied Geophysics

Structural Modeling of Fenchugang Gas Field, Sylhet, Bangladesh (2016)

Authors: M. L. Mamud, A. S. M. Woobaidullah, M. A. Baki, R. C. Chowdhury, M. Z. H. Sazal, M. S. Islam, M. A. Khan

Journal: International Journal of Emerging Technology and Advanced Engineering

Case Study on Surrounding Area of Barapukuria Coal Mine Impeding Soil Fertility (2016)

Authors: T. Mohanta, S. Akter, C. Quamruzzaman, M. L. Mamud, M. Z. H. Sazal, K. M. I. Hossain

Journal: International Journal of Scientific & Engineering Research

Salvador Aljazairi López | Plant Ecophysiology | Best Researcher Award

Posted on 01/02/202501/02/2025 by TOT Awards

Mr. Salvador Aljazairi López | Plant Ecophysiology| Best Researcher Award

Profesor doctor at International University of La Rioja, Spain

Dr. Salvador Aljazairi López is a distinguished professor at Universidad Internacional de la Rioja. He earned his PhD in Plant Physiology from the University of Barcelona in 2014 and has been accredited by ANECA since 2015. His expertise lies in environmental science, focusing on climate change mitigation, carbon flux monitoring, stable isotopes, stress factors, and biodiversity. With over 12 high-impact journal articles, a book chapter, and more than 100 conference papers, he has made significant contributions to his field. Dr. López has completed six international research stays and has taught courses in science, didactics, and innovation at multiple universities. His work has influenced modern environmental policies and teaching methodologies.

professional profiles

ORCID

Education

Dr. Salvador Aljazairi López earned his doctoral degree in Plant Physiology from the University of Barcelona in 2014. Accredited by ANECA since 2015, his research focuses on environmental issues, particularly climate change mitigation, carbon storage, stable isotopes, stress factors, and biodiversity. He has authored 12 high-impact journal articles and a book chapter, and presented over 100 papers at international conferences. Dr. Aljazairi López has completed six research stays in diverse institutions and countries and has taught various courses in science, didactics, and innovation at several universities.

work Experience

As a professor at Universidad Internacional de la Rioja, Salvador López has dedicated his career to environmental science and plant physiology. He has conducted extensive research on climate change and ecosystem resilience, sharing his knowledge through lectures in science, didactics, and innovation courses. His academic journey includes six international research stays at renowned institutions, where he collaborated on projects addressing ecological challenges. His contributions are well-documented in high-impact journals and conferences, solidifying his reputation in the scientific community.

Awards and Honors

Salvador López has been recognized by ANECA for his academic excellence and has received multiple grants for environmental research projects. His work in climate change mitigation has earned him prestigious honors, including funding from national and European research bodies. He has also been acknowledged for his significant advancements in biodiversity and ecosystem studies, reinforcing his influence in the scientific field.

Research Focus

His research revolves around climate change mitigation strategies, carbon storage, and flux monitoring. He has extensively studied the role of stable isotopes in environmental research and has explored the impact of stress factors on ecosystems and biodiversity preservation. Additionally, his innovative work integrates AI in science education, enhancing critical thinking and modernizing teaching methodologies.

Conclusion

Dr. Salvador Aljazairi López is a strong candidate for the Best Researcher Award due to his outstanding research contributions, international collaborations, and commitment to science education. His work in climate change mitigation and biodiversity monitoring aligns well with pressing global issues. However, further emphasis on citation impact, principal investigator roles, and industry applications would further strengthen his nomination.

Publications to Noted

“Sown Diversity Effects on the C and N Cycle and Interactions with Fertilization”

Authors: Salvador Aljazairi, Angela Ribas, Rosa Llurba, Juan Pedro Ferrio, Jordi Voltas, Salvador Nogués, Maria Teresa Sebastiá

Year: 2025

“C and N Allocation on Wheat under the Effects of Depleted, Current and Elevated [CO₂] are Modulated by Water Availability”