scholarly journals Climate Predictions for Ludhiana District of Indian Punjab under RCP 4.5 and RCP 8.5

2019 ◽  
pp. 128-141 ◽  
Author(s):  
Mehraj U. Din Dar ◽  
Rajan Aggarwal ◽  
Samanpreet Kaur
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Water Resources ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Climate Prediction ◽  
Global Food Security ◽  
Rcp 8.5 ◽  
Global Food

Climate change poses significant threats to global food security and water resources. In a present study, a Global Climate Model HAD GEM2-ES under RCPs 4.5 and 8.5 was used for climate prediction study. The study spanned 46 years of baseline (1970-2015) as well as two future periods’ mid-century (MC) (2020-2050) and end century EC (2060-2090). The results showed that the temperature would increase by 1.56°C and rainfall would decrease by 98 mm in MC (2020-2050); and 3.11°C and 90 mm in EC (2060-2090), respectively under RCP 4.5. In RCP 8.5 the increase in temperature and rainfall was 2.75°C and 153 mm, respectively in MC and the corresponding values in EC was 5.46°C and 251 mm, respectively.

Population and Global Food Security

2017 ◽  
pp. 40-63 ◽  
Author(s):  
Supriya Tiwari ◽  
Barkha Vaish ◽  
Pooja Singh
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Global Climate Change ◽  
Food Production ◽  
Global Climate ◽  
Arable Land ◽  
Population Increase ◽  
Global Food Security ◽  
Near Future ◽  
Global Food

Global food security is one if the major issues that needs utmost attention of the scientific community in near future. The growing food demand of the society is putting enormous pressure on the resources over which the food supply of the civilization depends. The two major components affecting the global food security are population and global climate change. The rate at which the population of the World is increasing, the food production needs to be doubled to meet the growing requirements. Consequences of global climate change not only reduce the productivity of major staple crops, but also cause destruction of the arable land that can be used for agricultural purposes. The present chapter discusses the effects of population increase and climate change upon food production, which will play a significant role in food security around the globe in near future.

Population and Global Food Security

2018 ◽  
pp. 41-64
Author(s):  
Supriya Tiwari ◽  
Barkha Vaish ◽  
Pooja Singh
Keyword(s):  
Climate Change ◽  
Food Security ◽  
Global Climate Change ◽  
Food Production ◽  
Global Climate ◽  
Arable Land ◽  
Population Increase ◽  
Global Food Security ◽  
Near Future ◽  
Global Food

Global food security is one if the major issues that needs utmost attention of the scientific community in near future. The growing food demand of the society is putting enormous pressure on the resources over which the food supply of the civilization depends. The two major components affecting the global food security are population and global climate change. The rate at which the population of the World is increasing, the food production needs to be doubled to meet the growing requirements. Consequences of global climate change not only reduce the productivity of major staple crops, but also cause destruction of the arable land that can be used for agricultural purposes. The present chapter discusses the effects of population increase and climate change upon food production, which will play a significant role in food security around the globe in near future.

scholarly journals Climatic impacts on water resources in a tropical catchment in Uganda and adaptation measures proposed by resident stakeholders

2021 ◽  
Vol 164 (1-2) ◽  
Author(s):  
Bano Mehdi ◽  
Julie Dekens ◽  
Mathew Herrnegger
Keyword(s):  
Climate Change ◽  
Water Resources ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Mean Annual Precipitation ◽  
Adaptation Measures ◽  
The Mean ◽  
The Impact ◽  
Far Future

AbstractThe Ruhezamyenda catchment in Uganda includes a unique lake, Lake Bunyonyi, and is threatened by increasing social and environmental pressures. The COSERO hydrological model was used to assess the impact of climate change on future surface runoff and evapotranspiration in the Lake Bunyonyi catchment (381 km2). The model was forced with an ensemble of CMIP5 global climate model (GCM) simulations for the mid-term future (2041–2070) and for the far future (2071–2100), each with RCP4.5 and RCP8.5. In the Ruhezamyenda catchment, compared to 1971–2000, the median of all GCMs (for both RCPs) showed the mean monthly air temperature to increase by approximately 1.5 to 3.0 °C in the mid-term future and by roughly 2.0 to 4.5 °C in the far future. The mean annual precipitation is generally projected to increase, with future changes between − 25 and + 75% (RCP8.5). AET in the Lake Bunyonyi catchment was simulated to increase for the future by approximately + 8 mm/month in the median of all GCMs for RCP8.5 for the far future. The runoff for future periods showed much uncertainty, but with an overall increasing trend. A combination of no-regrets adaptation options in the five categories of: governance; communication and capacity development; water, soil, land management and livelihoods improvement; data management; and research, was identified and validated with stakeholders, who also identified additional adaptation actions based on the model results. This study contributes to improving scientific knowledge on the impacts of climate change on water resources in Uganda with the purpose to support adaptation.

scholarly journals Plant Adaptation to Global Climate Change

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 451
Author(s):  
Amit Kumar Mishra
Keyword(s):  
Climate Change ◽  
Food Security ◽  
High Temperature ◽  
Global Climate Change ◽  
Global Climate ◽  
Adverse Impact ◽  
Biotic Factors ◽  
Plant Adaptation ◽  
Global Food Security ◽  
Global Food

The problem of climate change is unavoidably accompanied by climate variabilities, such as high temperature, varying patterns of rainfall, and other environmental factors (including biotic factors), and causes an adverse impact on plant development and global food security [...]

scholarly journals Is Current Research on How Climate Change Impacts Global Food Security Really Objective?

Foods ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 2342
Author(s):  
Wangang Liu ◽  
Yiping Chen ◽  
Xinhua He ◽  
Ping Mao ◽  
Hanwen Tian
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Food Security ◽  
Field Research ◽  
Climate Change Impacts ◽  
Developed Countries ◽  
Hotspot Analysis ◽  
Global Food Security ◽  
The Impact ◽  
Global Food

Global food insecurity is becoming more severe under the threat of rising global carbon dioxide concentrations, increasing population, and shrinking farmlands and their degeneration. We acquired the ISI Web of Science platform for over 31 years (1988–2018) to review the research on how climate change impacts global food security, and then performed cluster analysis and research hotspot analysis with VosViewer software. We found there were two drawbacks that exist in the current research. Firstly, current field research data were defective because they were collected from various facilities and were hard to integrate. The other drawback is the representativeness of field research site selection as most studies were carried out in developed countries and very few in developing countries. Therefore, more attention should be paid to developing countries, especially some African and Asian countries. At the same time, new modified mathematical models should be utilized to process and integrate the data from various facilities and regions. Finally, we suggested that governments and organizations across the world should be united to wrestle with the impact of climate change on food security.

scholarly journals Threat to future global food security from climate change and ozone air pollution

2014 ◽  
Vol 4 (9) ◽  
pp. 817-821 ◽  
Author(s):  
Amos P. K. Tai ◽  
Maria Val Martin ◽  
Colette L. Heald
Keyword(s):  
Climate Change ◽  
Air Pollution ◽  
Food Security ◽  
Global Food Security ◽  
Global Food

scholarly journals Assessing the impact of global warming on worldwide open field tomato cultivation through CSIRO-Mk3·0 global climate model

2016 ◽  
Vol 155 (3) ◽  
pp. 407-420 ◽  
Author(s):  
R. S. SILVA ◽  
L. KUMAR ◽  
F. SHABANI ◽  
M. C. PICANÇO
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Open Field ◽  
Climate Models ◽  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Current Model ◽  
Global Climate Models ◽  
The Impact

SUMMARYTomato (Solanum lycopersicum L.) is one of the most important vegetable crops globally and an important agricultural sector for generating employment. Open field cultivation of tomatoes exposes the crop to climatic conditions, whereas greenhouse production is protected. Hence, global warming will have a greater impact on open field cultivation of tomatoes rather than the controlled greenhouse environment. Although the scale of potential impacts is uncertain, there are techniques that can be implemented to predict these impacts. Global climate models (GCMs) are useful tools for the analysis of possible impacts on a species. The current study aims to determine the impacts of climate change and the major factors of abiotic stress that limit the open field cultivation of tomatoes in both the present and future, based on predicted global climate change using CLIMatic indEX and the A2 emissions scenario, together with the GCM Commonwealth Scientific and Industrial Research Organisation (CSIRO)-Mk3·0 (CS), for the years 2050 and 2100. The results indicate that large areas that currently have an optimum climate will become climatically marginal or unsuitable for open field cultivation of tomatoes due to progressively increasing heat and dry stress in the future. Conversely, large areas now marginal and unsuitable for open field cultivation of tomatoes will become suitable or optimal due to a decrease in cold stress. The current model may be useful for plant geneticists and horticulturalists who could develop new regional stress-resilient tomato cultivars based on needs related to these modelling projections.

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