Table Of ContentSpringer Climate
Chaitanya B. Pande · Kanak N. Moharir ·
Sudhir Kumar Singh · Quoc Bao Pham ·
Ahmed Elbeltagi Editors
Climate Change
Impacts on Natural
Resources,
Ecosystems and
Agricultural
Systems
Springer Climate
Series Editor
John Dodson , Institute of Earth Environment, Chinese Academy of Sciences,
Xian, Shaanxi, China
Springer Climate is an interdisciplinary book series dedicated to climate research.
This includes climatology, climate change impacts, climate change management,
climate change policy, regional climate studies, climate monitoring and modeling,
palaeoclimatology etc. The series publishes high quality research for scientists,
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Chaitanya B. Pande
Kanak N. Moharir • Sudhir Kumar Singh
Quoc Bao Pham • Ahmed Elbeltagi
Editors
Climate Change Impacts on
Natural Resources,
Ecosystems and Agricultural
Systems
Editors
Chaitanya B. Pande Kanak N. Moharir
Indian Institute of Tropical Department of Earth Science
Meteorology (IITM) Banasthali University
Pune, Maharashtra, India Aliyabad, Rajasthan, India
Sudhir Kumar Singh Quoc Bao Pham
K. Banerjee Centre of Atmospheric Institute of Applied Technology
and Ocean Studies Thu Dau Mot University
University of Allahabad Thu Dau Mot, Vietnam
Allahabad, Uttar Pradesh, India
Ahmed Elbeltagi
Department of Agricultural Engineering
Mansoura University
Al Manşūrah, Egypt
ISSN 2352-0698 ISSN 2352-0701 (electronic)
Springer Climate
ISBN 978-3-031-19058-2 ISBN 978-3-031-19059-9 (eBook)
https://doi.org/10.1007/978-3-031-19059-9
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Dedicated to my parents
Preface
This book on the impact of climate change on natural resources, landscape and
agricultural ecosystems describes the contributing aspects of climate change related
to natural resources, soil erosion, irrigation planning, water, landscape, sustainable
crop yield agriculture, biomass estimation, problems of climate change and dis-
cusses the related resulting mitigation system. Natural resources and agricultural
ecosystems include factors from nearby regions where climate change, landscape,
and agricultural practices directly or indirectly interface with the water, vegetation,
irrigation planning, and ecology present. Changes in climatic situations impact all
natural resources, ecology, and landscape of agricultural systems, which can possi-
bly poorly affect their productivity. This book covers the various aspects of soil
erosion, soil compaction, soil nutrients, aquifer, water of climate change in respect
to vegetation’s, crops, pest, water and sustainable yield for the development of the
climate change factors and agricultural sector, sustainable development and man-
agement for the future. It also focuses on the use of precision techniques, remote
sensing, GIS technologies, IoT, and climate-related technology for sustainability of
ecology, natural resources, and agricultural area along with the capacity and flexi-
bility of natural resources, ecology, and agricultural societies under climate change.
Climate change, natural resources, landscape, irrigation planning, water, sustain-
able yield, and agricultural ecosystems include both theoretical and applied aspects,
and help as guideline information for future research. This is a very important book
for researchers, scientists, NGOs, and academicians working in the fields of climate
change, environmental sciences, agricultural engineering, remote sensing, natural
resources management, GIS, hydrology, soil sciences, agricultural microbiology,
plant pathology, and agronomy.
This volume comprises 29 chapters contributed by various researchers, scien-
tists, and professors from around the world. It includes research work by professors,
planners, scientists, and research scholars from various universities, international
organizations, and institutions of India as well as of other countries. The chapters
provide an in-depth analysis of climate change, impact analysis, sustainability of
agroecosystems, vulnerability assessment of stakeholders, climate-smart farming,
land use and land cover change detection, precision farming, land surface
vii
viii Preface
temperature, flood impact analysis, crop yield, irrigation to mitigate agriculture, and
climate change impacts on natural resources, agriculture, and ecosystems.
We sincerely thank Robert Doe, Publishing Editor, Springer, and Fairle T Thattil
(Ms.) for their generous assistance, constant support, and patience in finalizing
this book.
Pune, Maharashtra, India Chaitanya B. Pande
Aliyabad, Rajasthan, India Kanak N. Moharir
Allahabad, Uttar Pradesh, India Sudhir Kumar Singh
Thu Dau Mot, Vietnam Quoc Bao Pham
Al Manşūrah, Egypt Ahmed Elbeltagi
Contents
1 Impact of Climate Change on Livelihood Security
and Biodiversity – Issues and Mitigation Strategies . . . . . . . . . . . . . . 1
Gyanaranjan Sahoo, Prasannajit Mishra, Afaq Majid Wani,
Amita Sharma, Debasis Mishra, Dharitri Patra, Ipsita Mishra,
and Monalisa Behera
2 Desertification Intensity Assessment Within the Ukraine
Ecosystems Under the Conditions of Climate Change
on the Basis of Remote Sensing Data . . . . . . . . . . . . . . . . . . . . . . . . . . 29
Vadym І. Lyalko, Alexandr А. Apostolov, Lesya A. Elistratova,
Inna F. Romanciuc, and Iuliia V. Zakharchuk
3 Climate Change Effect on the Urbanization: Intensified
Rainfall and Flood Susceptibility in Sri Lanka . . . . . . . . . . . . . . . . . . 49
M. D. K. Lakmali Gunathilaka and W. T. S. Harshana
4 Climate Change, a Strong Threat to Food Security in India:
With Special Reference to Gujarat . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153
Diwakar Kumar
5 Livelihood Vulnerability Assessment and Drought Events
in South Africa. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 175
Israel R. Orimoloye
6 Possible Influence of Urbanisation on Rainfall in Recent Past . . . . . . 187
Prabhat Kumar, Archisman Barat, P. Parth Sarthi,
and Devendra Kumar Tiwari
7 Influence of Climate Change on Crop Yield
and Sustainable Agriculture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209
M. Aali Misaal, Syeda Mishal Zahra, Fahd Rasul, M. Imran, Rabeea
Noor, and M. Fahad
ix
x Contents
8 Hybrid Daily Streamflow Forecasting Based on Variational
Mode Decomposition Random Vector Functional Link
Network- Based Ensemble Forecasting . . . . . . . . . . . . . . . . . . . . . . . . . 225
Salim Heddam
9 Climate Change and Natural Hazards in the Senegal
River Basin: Dynamics of Hydrological Extremes
in the Faleme River Basin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245
Cheikh Faye
10 Review of Various Impacts of Climate Change
in South Asia Region, Specifically Pakistan . . . . . . . . . . . . . . . . . . . . . 269
Rabeea Noor, Chaitanya B. Pande, Syeda Mishal Zahra,
Aarish Maqsood, Azhar Baig, M. Aali Misaal,
Rana Shehzad Noor, Qaiser Abbas, and Mariyam Anwar
11 Future Hydroclimatic Variability Projections Using Combined
Statistical Downscaling Approach and Rainfall- Runoff Model:
Case of Sebaou River Basin (Northern Algeria) . . . . . . . . . . . . . . . . . 297
Bilel Zerouali, Mohamed Chettih, Zak Abda,
and Mohamed Mesbah
12 Predication of Sugarcane Yield in the Semi-Arid Region
Based on the Sentinel-2 Data Using Vegetation’s Indices
and Mathematical Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327
Chaitanya B. Pande, Sunil A. Kadam, J. Rajesh,
S. D. Gorantiwar, and Mukund G. Shinde
13 Effect of Urbanism on Land Surface Temperature (LST)
in a River Basin and an Urban Agglomeration . . . . . . . . . . . . . . . . . . 345
J. Brema, Ahmed Khalid Alsalmi, C. Mayilswami,
and Jenita Thinakaran
14 Estimation of Land Surface Temperature and Urban Heat
Island by Using Google Earth Engine and Remote
Sensing Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 367
Komal Gadekar, Chaitanya B. Pande, J. Rajesh, S. D. Gorantiwar,
and A. A. Atre
15 Study on Irrigated and Nonirrigated Lands in Ukraine
Under Climate Change Based on Remote Sensing Data . . . . . . . . . . . 391
Artur Ya. Khodorovskyi, Alexander A. Apostolov,
Lesya A. Yelistratova, and Tetiana A. Orlenko
16 Hybrid Kernel Extreme Learning Machine-Based Empirical
Wavelet Transform for Water Quality Prediction Using
Only River Flow as Predictor. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413
Salim Heddam
