Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems
Idioma: inglés
Editorial: Springer, Berlin|Springer International Publishing|Springer, 2024
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- Nuevo

Librería: moluna, Greven, Alemaniamoluna
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EUR 180,07
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book on the climate change, natural resources, landscape and agricultural ecosystems describes the contributing challenges related to natural resources, soil erosion, irrigation planning, water, landscape, sustainable crop yield agriculture and biom.
N° de ref. del artículo 1362013041
- Título
- Climate Change Impacts on Natural Resources, Ecosystems and Agricultural Systems
- Editorial
- Springer, Berlin|Springer International Publishing|Springer
- Año de publicación
- 2024
- Estado
- New
- Encuadernación
- Encuadernación de tapa blanda
- Idioma
- inglés
- ISBN 10
- 3031190610
- ISBN 13
- 9783031190612
- Serie
- Libro 36 de 44: Springer Climate
This book on the climate change, natural resources, landscape and agricultural ecosystems describes the contributing challenges related to natural resources, soil erosion, irrigation planning, water, landscape, sustainable crop yield agriculture and biomass estimation. Natural resources and agricultural ecosystems include factors from nearby regions where landscape and agriculture practices (direct or indirect) interface with the water, vegetation, irrigation planning and ecology. Changes in climatic situations impact all the natural resources, ecology, and landscape of agricultural systems, which affects productivity.
This book summarizes the various aspects of soil erosion, soil compaction, soil nutrients, aquifer and water with respect to vegetation, crops, pest and sustainable yields and management for the future. It also focuses on the use of precision techniques, remote sensing, GIS technologies, IOT and climate related technology for the sustainability of ecology, natural resources and agricultural areas, along with the capacity and flexibility of natural resources and agricultural societies under climate change. This book presents both theoretical and applied aspects and will help as a guide for future research. The contents will appeal to researchers, scientists, and NGOs working in climate change, environmental sciences, agriculture engineering, remote sensing, natural resources management, remote sensing, GIS, hydrologist, soil sciences, agricultural microbiology, plant pathology and agronomy.“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Dr. Chaitanya B. Pande: (Dr. PDKV, Akola), Ph.D.(Sant Gadge Baba Amravati University, Amravati). I have more than one decade of research and industrial experience. I have reviewers of Earth Science Research Journal, American Journal of Geophysics, Geochemistry, and Geosystems, Sustainable Water Resource Management, Modelling Earth system and Environmental, Applied Geomatics, Journal of Agriculture Sciences (Bioinfo Publication), Applied Water Science, Journal of the Institution of Engineers (India): series A Springer, Groundwater Sustainable Development and Environmental Sustainable Development.
Dr. Kanak B. Moharir Ph.D. Sant Gadge Baba Amravati University, Amravati is a Researcher, at Department of Geology, Dr. PDKV, Akola, India. With more than 5 years teaching and research experience, and published more than 36 research papers in various national and international journals and 15 research papers presented in national and international conferences with citations more than 265. My research interests include remote sensing, watershed management, hydrology, land use and land cover, aquifer mapping, groundwater modeling, hydrogeology, geomorphology and geology. I worked as reviewers of eight Springer journals and other journals.
Dr. Sudhir Kumar Singh: (University of Allahabad), Ph.D.
Offers basics of remote sensing & GIS, Remote Sensing and Satellite Meteorology courses to M. Tech. Students at K. Banerjee Centre of Atmospheric and Ocean Studies, University of Allahabad, Prayagraj, India. He has worked on the application of geochemical and hydrological model (SWAT) to study the impact of land use/land cover change on water quality and quantity of the drought-affected river basin. He has opted for a challenge to study Land use land cover studies in a; north-eastern part of Punjab using multi-date satellite data. He has also studied the impact of land-use and land-cover change on groundwater quality inthe Lower Shiwalik hills: remote sensing and GIS-based approach. These studies also have socio-economic and environmental implications in achieving the objectives of sustainability. Worked as PI and Co-PI funded by University Grants Commission, Department of Science and Technology, New Delhi, India and Ministry of Earth Sciences, Government of India. He has published his results in peer-reviewed journals with high impact factors. Also, a part of the BRICS international team to look at the impact of land use/land cover and climate change on river basins. Research focuses on Remote sensing and geographical information system applications in the environment with special reference to land use/land cover change and water resource management. He has published more than 167 research papers in international journals with springer and Elsevier, Taylor and Francis with citations more than 3497. He has published two edited and one reference book. Worked as Associate Editor in Arabian Journal ofGeoscience, Water Science Conservation and Engineering and Guest editor in many leading journals such as Physics, Chemistry and Earth, Remote Sensing and Water.
Quoc Bao Pham
Institute of Applied Technology, Thu Dau Mot University, Thu Dau Mot, Binh Duong, Vietnam; Email: phambaoquoc@tdmu.edu.vn
Dr. Quoc Bao Pham got master and PhD degrees at Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Taiwan. He has been reviewing for many journals such as Science of the Total Environment, Renewable & Sustainable Energy Reviews, Irrigation and Drainages, Ain Shams Engineering Journal, WATER, Stochastic Environmental Research and Risk Assessment, Geocarto International, Environmental Science and Research Pollution, Natural Hazards, Atmosphere (was also invited to be the Topic Editor), Applied Sciences, Arabian Journal of Geosciences, Alexandria Engineering Journal, Remote Sensing Applications: Society and Environment, Journal of Environmental Quality, Frontiers in Water, Acta Geophysica, Journal of Engineering Science & Technology. He is currently serving as topic editor of Frontiers in Water (Special Issue: Transitional Areas, Interactions, Feedbacks, Cascading Effects and Management Challenges).
He has published more than 60 ISI research papers in international journals with Springer, Taylor and Francis, MDPI, IEEE, Nature, Wiley, and Elsevier publications with citations more than 378.
His research interest includes remote sensing, GIS, drought analysis, climate change, watershed management, hydrological modeling, water quality.
Ahmed Elbeltagi
Ahmed Elbeltagi is a researcher at Agricultural Engineering Dept., Faculty of Agriculture, Mansoura University, Egypt. He obtained his M. Degree in Agricultural Engineering about using remote sensing for predicting moisture and nitrogen status for crops and Ph.D. in applications of remote sensing, GIS, and artificial intelligence methods for water management, scheduling, and future planning, from Zhejiang University, Hangzhou, China, respectively. He is currently serving as a guest Editor for Special Issue on Water Pollution and Treatment from American Journal of Agricultural and Biological Sciences. Simultaneously, He is currently serving as Editorial Board member in Journal of Agricultural Studies, American Journal of Agricultural and Biological Sciences, Agricultural Water Management, Computers and Electronic in Agriculture, Advances in Water Resources, Journal of Hydrology, and Water Resources Management. He has published many research papers in various national and international journals in the area of water footprint, water management, hydrologic modeling – machine learning, deep learning and GIS and RS techniques.
“Acerca de” puede pertenecer a otra edición de este título.
moluna
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