Climate Change in the Philippines

2021 ◽  
Vol 3 (4) ◽  
pp. 72-74
Author(s):  
Jameena Reynon
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Sea Level Rise ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Sea Level ◽  
Environmental Problem ◽  
The Philippines ◽  
Rice Yields ◽  
Impacts Of Climate Change

Impacts of Climate Change in the Philippines include threats to biodiversity such as coral loss, declining rice yields, more intense droughts, and higher sea-level rise. While there is a strong scientific consensus that human-caused greenhouse gas emissions are generating climate change that then contributes to stronger typhoons, the Filipinos have low responsibility for causing climate change. The struggle that is faced by the Philippines, as well as other developing countries, is more than just an environmental problem, it is an example of climate injustice.

Could climate engineering save the Greenland Ice Sheet?

2016 ◽  
Author(s):  
Patrick J. Applegate ◽  
K. Keller
Keyword(s):  
Sea Level Rise ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Sea Level ◽  
Computer Model ◽  
Ice Sheet ◽  
Greenland Ice Sheet ◽  
Upper Atmosphere ◽  
Climate Engineering ◽  
Air Temperatures

Engineering the climate through albedo modification (AM) could slow, but probably would not stop, melting of the Greenland Ice Sheet. Albedo modification is a technology that could reduce surface air temperatures through putting reflective particles into the upper atmosphere. AM has never been tested, but it might reduce surface air temperatures faster and more cheaply than reducing greenhouse gas emissions. Some scientists claim that AM would also prevent or reverse sea-level rise. But, are these claims true? The Greenland Ice Sheet will melt faster at higher temperatures, adding to sea-level rise. However, it's not clear that reducing temperatures through AM will stop or reverse sea-level rise due to Greenland Ice Sheet melting. We used a computer model of the Greenland Ice Sheet to examine its contributions to future sea level rise, with and without AM. Our results show that AM would probably reduce the rate of sea-level rise from the Greenland Ice Sheet. However, sea-level rise would likely continue even with AM, and the ice sheet would not regrow quickly. Albedo modification might buy time to prepare for sea-level rise, but problems could arise if policymakers assume that AM will stop sea-level rise completely.

Reducing greenhouse gas emissions and adapting agricultural management for climate change in developing countries: providing the basis for action

2013 ◽  
Vol 20 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Stephen M. Ogle ◽  
Lydia Olander ◽  
Lini Wollenberg ◽  
Todd Rosenstock ◽  
Francesco Tubiello ◽  
...  
Keyword(s):  
Climate Change ◽  
Developing Countries ◽  
Greenhouse Gas Emissions ◽  
Greenhouse Gas ◽  
Agricultural Management ◽  
Gas Emissions

scholarly journals "Property Purgatory"

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Ben Dudley Tombs ◽  
Janet Stephenson ◽  
Ben France-Hudson ◽  
Elisabeth Ellis
Keyword(s):  
Climate Change ◽  
Local Government ◽  
Sea Level Rise ◽  
Sea Level ◽  
Institutional Arrangements ◽  
Storm Events ◽  
Physical Damage ◽  
Value Loss ◽  
Practical Challenge ◽  
Impacts Of Climate Change

Climate change will place increasing numbers of homeowners in ‘property purgatory’, a state of financial insecurity arising from the foreseeability of eventual damage and uncertainty about means to recover their losses. The impacts of climate change-induced sea level rise and storm events are now certain, and exposed properties will likely incur insurance, mortgage and value loss. These effects could occur prior to physical damage, and existing inequities will be magnified. Current legal and institutional arrangements offer no clear pathway for those affected to recover funds in order to relocate themselves. We position property purgatory as an immediate practical challenge for those affected seeking to recover their losses, and as a legal question regarding undefined responsibilities of central and local government.

Climate Change – Livelihood – Migration Nexus: A Case Study from Sundarbans, India

2021 ◽  
Author(s):  
Malay Pramanik ◽  
Sylvia Szabo ◽  
Indrajit Pal ◽  
Parmeshwar Udmale
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Coastal Areas ◽  
Coastal Communities ◽  
Poor People ◽  
High Exposure ◽  
Coastal Belt ◽  
The Sundarbans ◽  
Impacts Of Climate Change

<p><strong>Abstract:</strong></p><p>Climate change is one of the most pressing challenges of the 21st century and is likely to increase migration of the marginal communities from the coastal areas throughout the world. It is projected that 200 million people worldwide will be climate refugees by 2050. Owing to high exposure and poor adaptive capacity, low-lying coastal areas and islands in developing countries are the most vulnerable to the impacts of climate change. Therefore, it is imperative to understand how climate change is affecting the livelihoods, in turn, driving the migration in these regions.</p><p>The present study focuses on the Sundarbans region located along the coastal belt of West Bengal (India) as a part of Ganga-Brahmaputra mega delta. It is also a home of 4.7 million poor people, who earn below US$10 per month. The region is an exceedingly flat, low-lying, alluvial plain highly exposed to sea level rise, storm surge, tornedoes, cyclonic activity, riverbank erosion, salinization and subsequent mangrove depletion. Due to the climatic hazards, the basic livelihoods are at risk and their strategies towards livelihood collection remains largely unknown. Therefore, the present study provides insights into the nexus among climate stimuli, livelihood risks, and households’ strategies in the region, with special emphasize on climate change.</p><p>The study is based on field survey of 150 respondents representing migrant and non-migrant coastal communities from Gosaba, Basanti and Hingalganj block using structured questionnaires. More than 70% of respondents stated that livelihood risks mainly from climate change impacts as the major reason for inter-state migration, which is the main source of income supporting livelihood in the region. This environmental displacement in the Sundarbans region symbolizes the failure of adaptation to mitigate climate change induced sea level rise increasing the exposure to coastal flooding and storm surges, salinization, and erosion.  This study discusses potential mitigation strategies to combat the impacts of climate change on livelihoods of the coastal communities in the region.</p>

scholarly journals Future sea level rise constrained by observations and long-term commitment

2016 ◽  
Vol 113 (10) ◽  
pp. 2597-2602 ◽  
Author(s):  
Matthias Mengel ◽  
Anders Levermann ◽  
Katja Frieler ◽  
Alexander Robinson ◽  
Ben Marzeion ◽  
...  
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Greenhouse Gas ◽  
Sea Level ◽  
Past Century ◽  
Intergovernmental Panel ◽  
Adaptation Measures ◽  
Equilibrium Response ◽  
Semiempirical Models

Sea level has been steadily rising over the past century, predominantly due to anthropogenic climate change. The rate of sea level rise will keep increasing with continued global warming, and, even if temperatures are stabilized through the phasing out of greenhouse gas emissions, sea level is still expected to rise for centuries. This will affect coastal areas worldwide, and robust projections are needed to assess mitigation options and guide adaptation measures. Here we combine the equilibrium response of the main sea level rise contributions with their last century's observed contribution to constrain projections of future sea level rise. Our model is calibrated to a set of observations for each contribution, and the observational and climate uncertainties are combined to produce uncertainty ranges for 21st century sea level rise. We project anthropogenic sea level rise of 28–56 cm, 37–77 cm, and 57–131 cm in 2100 for the greenhouse gas concentration scenarios RCP26, RCP45, and RCP85, respectively. Our uncertainty ranges for total sea level rise overlap with the process-based estimates of the Intergovernmental Panel on Climate Change. The “constrained extrapolation” approach generalizes earlier global semiempirical models and may therefore lead to a better understanding of the discrepancies with process-based projections.

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