Article
Green & Sustainable Science & Technology
Shipra Shah, D. P. Sharma
Summary: The study assessed the spatial distribution and changes in forest carbon stocks in the Solan Forest Division of the Indian Himalayan Region from 1998-2010. It found a significant relationship between carbon stock and Normalised Difference Vegetation Index (NDVI), and suggested that the increase in carbon stock could be attributed to felling bans, afforestation, natural aging of secondary forests, and natural regeneration. The study concluded that NDVI derived from optical imagery can be used to assess vegetation carbon dynamics in subtropical forests of the region.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Biodiversity Conservation
Shubhi Patel, R. K. Mall, Abhiraj Chaturvedi, Rakesh Singh, Ramesh Chand
Summary: This study aimed to understand farmers' perception of climate change and its impact on agriculture. The results showed that a large percentage of farmers perceived changes in temperature and rainfall, and believed that these changes reduced production and revenue. The majority of farmers adopted strategies such as shifting sowing dates, changing crop varieties, and increasing irrigation, while resource saving strategies were not considered. The motivation behind farmers' adaptation choices was monetary benefit rather than knowledge. Constructive policies should prioritize raising awareness and sensitizing farmers through a participatory approach.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Md Kamrul Hasan, Lalit Kumar
Summary: This study investigated changes in coastal farm management in Bangladesh, finding that farmers perceived climate change to have a greater impact on farm management than non-climatic factors. Adoption of rice crop-related adaptations was higher than other agricultural practices.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Ru Guo, Yunyang Li, Li Shang, Cuiyang Feng, Xin Wang
Summary: Agriculture is heavily impacted by climate change, particularly in developing countries where farmers are both key players in adaptation and highly vulnerable. This study used a binary logistic regression model to examine local farmers' perceptions and behaviors towards climate change, finding that factors such as agricultural training, perceived temperature change, and education level significantly influence adaptive behavior. Key measures to enhance local climate adaptation include tailored training programs and improvement of scientific research.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Meteorology & Atmospheric Sciences
Saurav Raj, Roopam Shukla, Ricardo M. Trigo, Bruno Merz, Maheswaran Rathinasamy, Alexandre M. Ramos, Ankit Agarwal
Summary: This study uses 113 years of precipitation data to rank and characterize precipitation extremes in the Indian Western Himalayas, finding that critical long duration events are often missed in shorter duration rankings, emphasizing the importance of multi-day precipitation extremes ranking. The proposed ranking method provides valuable information on event duration and their impact on society, benefiting flood risk management and disaster risk reduction.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2021)
Article
Biodiversity Conservation
Manoj Kumar, Naveen Kalra, Hukum Singh, Subrat Sharma, Praveen Singh Rawat, Ram Kumar Singh, Ajay Kumar Gupta, Pavan Kumar, N. H. Ravindranath
Summary: Assessing the vulnerability of forests in the Indian Western Himalayan region involved using six indicators and mapping vulnerability across different grid sizes, with the highest concentration of very high and high vulnerable grids located in Uttarakhand. The study showed that forests at higher elevations were less vulnerable compared to forests at lower altitudes.
ECOLOGICAL INDICATORS
(2021)
Article
Forestry
Shinny Thakur, Rupesh Dhyani, Vikram S. Negi, M. K. Patley, R. S. Rawal, I. D. Bhatt, A. K. Yadava
Summary: The study developed a spatial map of inherent forest vulnerability in the western Himalaya, revealing temperate and mixed forests to be more vulnerable, while subtropical pine, broadleaf, and subalpine forests are less vulnerable. The major drivers of forest vulnerability in the Himalayan region were found to be elevation, population density, slope, rainfall, forest fragmentation, temperature, and aspect.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Computer Science, Interdisciplinary Applications
Manoj Kumar, Sweta Nisha Phukon, Akshay Chandrakant Paygude, Keshav Tyagi, Hukum Singh
Summary: This study utilized phenological research methods to classify landscapes into different Phenological Functional Types (PhFT) using remote sensing data and machine learning algorithms, laying the groundwork for studying the impacts of climate change on vegetation.
COMPUTERS & GEOSCIENCES
(2022)
Article
Agronomy
Ghulam Mustafa, Bader Alhafi Alotaibi, Roshan K. Nayak
Summary: This study assessed farmers' climate change awareness in Pakistan and found that the majority of respondents were aware of climate change but had differing perceptions of it. Education, experience, distance to markets, access to agricultural credit, and marketing of produce were found to be significantly related to farmers' climate change awareness. The study also showed that climate change awareness is a significant predictor of adaptation to climate change. Therefore, there is a need to reshape households' perception of climate change and enhance farmers' climate change awareness through existing extension services.
Article
Food Science & Technology
Patricia Pinamang Acheampong, Stephen Yeboah, Richard Adabah, James Y. Asibuo, Eileen B. Nchanji, Monica Opoku, Jonhworker Toywa, Cosmas Kweyu Lutomia
Summary: This study investigated gender differences in the adoption of climate change adaptation strategies among bean and cowpea farmers in Ghana. The findings revealed that socioeconomic and institutional factors significantly influenced the choice of adaptation strategies, with notable differences between men and women. Farmers' perceptions of the impacts of dry spells and delayed onset of rains also influenced the use of climate change adaptation strategies. Policy makers and local institutions need to encourage and facilitate farmers' involvement in climate change planning processes to enable designing of effective, context-relevant, inclusive, and sustainable climate change adaptation strategies.
FRONTIERS IN SUSTAINABLE FOOD SYSTEMS
(2023)
Article
Soil Science
Tseganesh Wubale Tamirat, Soren Marcus Pedersen, Robert John Farquharson, Sytze de Bruin, Patrick Dermot Forristal, Claus Gron Sorensen, David Nuyttens, Hans Henrik Pedersen, Maria Nygard Thomsen
Summary: This study enhances the understanding of farmers' needs and perceptions concerning the application of Controlled Traffic Farming (CTF) by analyzing survey data from 103 farmers in 8 European countries. Despite limitations in machinery compatibility and lack of knowledge, surveyed farmers are aware of traffic-induced soil compaction and have positive perceptions about the potential of CTF.
SOIL & TILLAGE RESEARCH
(2022)
Article
Environmental Sciences
Sarah Ann Wheeler, Celine Nauges, Alec Zuo
Summary: The study explores the dynamic relationship between climate change risk perceptions and farm adaptation behavior among farmers in the southern Murray-Darling Basin. It found that farmers with increased risk exposure were more likely to agree climate change posed a risk, but their attitudes were unstable over time. The presence of a feedback loop between risk perceptions and behavior was suggested as a reason for this instability.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2021)
Article
Biology
Shiekh Marifatul Haq, Musheerul Hassan, Hammad Ahmad Jan, Abdullah Ahmed Al-Ghamdi, Khalid Ahmad, Arshad Mehmood Abbasi
Summary: This study assessed the impact of geographical, political, social, and economic scenarios on food and foraging practices in the former princely state of Jammu and Kashmir. The results show that the geopolitical scenario in the region has influenced the usage of different animal and plant species for food. This study documents extensive traditional knowledge and provides a scientific description of wild food species in the Western Himalayas, Jammu, and Kashmir.
Review
Environmental Sciences
Isael Fierros-Gonzalez, Alejandro Lopez-Feldman
Summary: Global climate change poses a significant challenge to agricultural producers in developing countries. Farmers need to be aware of and take action on climate change. However, research on Latin American farmers' perceptions of climate change remains limited.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2021)
Article
Environmental Sciences
Pritha Datta, Bhagirath Behera
Summary: This study examines the efficiency of local farmers' adaptation measures in response to climate change in the Indian agricultural sector. The results show that farmers are aware of climate change and are implementing various adaptation measures. Agroforestry, shifting to low water-intensive commercials, irrigation, and intensification of winter crops are the preferred measures. However, there is a misalignment between the perceived efficiency of the measures and their scale of adoption.
ENVIRONMENTAL MANAGEMENT
(2022)
Article
Mathematics, Applied
Ankit Agarwal, Ravi Kumar Guntu, Abhirup Banerjee, Mayuri Ashokrao Gadhawe, Norbert Marwan
Summary: This study investigates the spatiotemporal relationship of extreme precipitation events in the Ganga river basin and reveals that the network degree decreases in a southwest to northwest direction. The timing of 50th percentile precipitation within a year influences the spatial distribution of the network degree, and the timing is inversely related to elevation. Lower elevation greatly influences the connectivity of the sites.
Article
Water Resources
Sridhara Setti, Kamal Kumar Barik, Bruno Merz, Ankit Agarwal, Maheswaran Rathinasamy
Summary: The choice of calibration time scale has implications on model sensitivity, best parameter ranges, and predictive uncertainty in hydrological modeling. Our study found that models calibrated at coarser time scales performed slightly better than those calibrated at finer time scales in terms of Nash-Sutcliffe efficiency and percentage bias. Parameter transfer across scales generally worsened the model performance in the three river basins.
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2022)
Article
Computer Science, Interdisciplinary Applications
Pavan Kumar Yeditha, Maheswaran Rathinasamy, Sai Sumanth Neelamsetty, Biswa Bhattacharya, Ankit Agarwal
Summary: This study evaluates the suitability of two satellite precipitation datasets for rainfall-runoff modeling, demonstrating different performances under various rainfall ranges. The results indicate that satellite precipitation data can be effectively combined with deep learning models for rainfall-runoff modeling and streamflow prediction in flood-prone catchments, providing a new horizon for flood forecasting.
JOURNAL OF HYDROINFORMATICS
(2022)
Article
Engineering, Civil
Karisma Yumnam, Ravi Kumar Guntu, Maheswaran Rathinasamy, Ankit Agarwal
Summary: Satellite precipitation products lack accuracy, and we have developed a QBMA approach to merge them, with bias-corrected QBMA outperforming traditional methods. Products perform better in July and September compared to June and August. QBMA approaches show slight superiority in some aspects over other methods.
JOURNAL OF HYDROLOGY
(2022)
Article
Engineering, Environmental
Satish Kumar, Ankit Agarwal, Abinesh Ganapathy, Vasant Govind Kumar Villuri, Srinivas Pasupuleti, Dheeraj Kumar, Deo Raj Kaushal, Ashwin Kumar Gosain, Bellie Sivakumar
Summary: Climate change exacerbates flood hazards in urban areas. Using future projected rainfall data and hydraulic modeling, this study found that urban flooding risks and potential damages will increase in Delhi under future climate conditions.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Engineering, Environmental
Tegegn Kassa Beyene, Manoj Kumar Jain, Brijesh K. Yadav, Ankit Agarwal
Summary: This study investigated the long-term spatiotemporal trends of precipitation extremes in Ethiopia, finding that most grid points experienced a change in time series during 1990 to 2012, with significant decreasing trends for the Kiremt and Belg seasons in the southeast. Most precipitation extreme indices show an increasing trend over the south and southwest region, except for consecutive wet days (CWD) which show a decreasing trend in similar locations.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Water Resources
Tarun Pant, Abinesh Ganapathy, Ankit Agarwal
Summary: This study examines the relationship between unregulated and regulated streamflow stations and global climate indicators. The results indicate contrasting trends for these stations, with unregulated stations experiencing abrupt changes while regulated stations show smoother fluctuations. Additionally, the study finds that unregulated stations have higher frequency variability at an intra-annual to inter-annual scale, while regulated stations exhibit variability at a larger scale (8-10 years). Therefore, both regulated and unregulated streamflow should be considered for water resource planning and management.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Water Resources
Pavan Kumar Yeditha, Tarun Pant, Maheswaran Rathinasamy, Ankit Agarwal
Summary: This study investigates the spatiotemporal characterization of streamflow in six unregulated catchments in India, revealing significant oscillations at different time scales and relationships between streamflow and precipitation as well as global climate indices. The analysis showed in-phase relationships between streamflow and IOD and NAO, while lag correlations were observed with Nino 3.4 and PDO indices at various time scales.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Multidisciplinary Sciences
Eva Steirou, Lars Gerlitz, Xun Sun, Heiko Apel, Ankit Agarwal, Sonja Totz, Bruno Merz
Summary: This study investigates the impact of catchment or climate state on the distribution of maximum seasonal streamflow. By fitting the Generalized Extreme Value distribution to extreme seasonal streamflow data from 600 stations across Europe, the researchers found that there is potential for seasonal forecasting of flood probabilities. The potential varies depending on the season and region, with season-ahead catchment wetness showing the highest potential.
SCIENTIFIC REPORTS
(2022)
Article
Meteorology & Atmospheric Sciences
Abinesh Ganapathy, Ankit Agarwal
Summary: This study investigates the association between sea surface temperature (SST) and streamflow in Germany using wavelet transform and complex network techniques. The results reveal scale-specific patterns in SST and streamflow relationships, with certain SST regions showing potential connections with different streamflow regions of Germany. Additionally, specific patterns in the Pacific, Indian, and Southern Ocean regions at different timescales are identified.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Engineering, Civil
Deva Charan Jarajapu, Maheswaran Rathinasamy, Ankit Agarwal, Axel Bronstert
Summary: Regional Flood Frequency Analysis (RFFA) is a widely used approach for estimating design floods. This study developed an XGB-based machine learning model for RFFA and flood estimation, which showed high accuracy in estimating design flood and visualized the importance of catchment features.
JOURNAL OF HYDROLOGY
(2022)
Article
Multidisciplinary Sciences
Shivam Rawat, Abinesh Ganapathy, Ankit Agarwal
Summary: This study conducts a spatiotemporal assessment of drought characteristics in sub-basins in India based on terrestrial water storage anomalies and precipitation data. The results show that most drought events are due to the depletion of terrestrial water storage, leading to a significant decrease in sub-basins across India. The Indo-Gangetic plains experience multiple drought events, making it the most affected region.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Environmental
B. Deepthi, Bellie Sivakumar
Summary: The present study evaluates the importance of individual stations in a hydrometric network using the concepts of complex networks. The analysis of a streamflow network in Australia reveals that different node ranking measures identify different stations as the most important and least important. Betweenness centrality and weighted degree betweenness perform the best in identifying the most important stations, while the clustering coefficient performs the worst.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2023)
Article
Water Resources
Sridhara Setti, Karisma Yumnam, Maheswaran Rathinasamy, Ankit Agarwal
Summary: In this study, the ability of three satellite precipitation products to capture rainfall was evaluated and compared. The results showed that GPM-IMERGv6 outperformed the other two products in statistical metrics and also exhibited better performance in hydrological evaluation.
JOURNAL OF WATER AND CLIMATE CHANGE
(2023)
Article
Engineering, Civil
J. Ashish Manoj, Teresa Perez Ciria, Gabriele Chiogna, Nadine Salzmann, Ankit Agarwal
Summary: Studies have shown that increased extreme precipitation does not directly lead to flooding. This study focuses on understanding the spatial and temporal patterns of the relationship between soil moisture and precipitation in Europe. By using an event-based analysis, the study quantifies the probability of soil moisture preceding precipitation and examines the statistical relationship between joint episodes of soil moisture and precipitation and reported flood events. The results highlight the importance of considering seasonality and interdependencies in flood risk mitigation and provide valuable insights for comprehensive flood risk assessment studies.
JOURNAL OF HYDROLOGY
(2023)
