Potential Impact Of Climate Change On Land Use In The Lao Pdr
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This study examined the potential impacts of climate change on land use in Laos. It found that temperatures have significantly increased over the 20th century, especially in southern parts of the country, and are projected to continue rising substantially by 2020 and 2050 according to climate models. Rainfall trends are less clear but also appear to be changing. These climate shifts could impact suitable areas for crops like sugarcane and coffee. Analysis of satellite data from 2000 to 2009 detected changes in vegetation cover and land use across the country. The study recommends more integrated and resilient farming systems to better cope with current climate variability and future changes.
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Overview of climate variability and climate change in GMS
This document provides an overview of climate variability and climate change impacts on agriculture in the Greater Mekong Sub-region. It discusses observed changes in temperature and precipitation trends based on historical data. Climate models project further increases in temperatures and changes in precipitation patterns, which could impact agriculture through changes in climate suitability and more frequent extreme weather events. The document emphasizes understanding historical climate variability and using downscaled climate projections to better assess impacts and develop adaptation strategies for agricultural systems in the region.
Mekonnen adnew
- The document analyzes trends and correlations between stream flows in the Omo-Ghibe River Basin in Ethiopia and large-scale climate signals over two time periods from 1972-2006 and 1982-2007.
- Results found no clear trends in annual or seasonal flow volumes but a tendency toward increasing trends for some low-flow events.
- Correlations found reasonable associations between streamflow indices and indices of sea surface temperatures from five oceanic regions known to affect Ethiopia's climate, but trends in streamflow did not fully reflect changes in atmospheric circulation or land use/land cover.
- The study provides information for local climate change adaptation and watershed management activities in the region.
Water-Energy-Food Nexus in Ethiopia: Constraints and Opportunities
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1) Ethiopia faces constraints in the water-energy-food nexus due to its reliance on rain-fed agriculture and hydropower, leaving it vulnerable to climate change impacts like changing rainfall patterns.
2) Climate change is projected to reduce crop yields and river flows in Ethiopia by 2050, negatively impacting food production, hydropower generation, and economic growth.
3) A modeling analysis found that under climate change, Ethiopia's real GDP growth and welfare could be 0.14-0.21 percentage points lower annually by 2050, accumulating to losses of $143-238 billion over 2010-2050. Agriculture is most severely affected.internet.pptbfjgjjjjjjjjjjjjjjjjjjjjjjggggggggggg
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Mina nath paudel
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Revitalizing the Ganges Coastal Zone Conference
21-23 October 2014, Dhaka, Bangladesh
http://waterandfood.org/ganges-conference/Impact of Climate Change on Agriculture
Climate change is causing rising global temperatures and changes in precipitation patterns. This is impacting agriculture in India in several ways:
1) Cereal production is projected to decrease by 10-40% by 2100 due to rising temperatures, with wheat production decreasing by 4-5 million tons for every 1C rise in temperature.
2) Increased droughts and floods will make agricultural production more variable from year to year.
3) Rising sea levels could cause loss of land for agriculture and flooding in coastal areas.
Impact of climate change on wheat yield using remote sensing technique | JBES...
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Climate change and agriculture lecture by MUHAMMAD FAHAD ANSARI 12IEEM 14
This document discusses the impacts of climate change on agriculture. It begins by defining climate change and outlining some of the key drivers influencing agriculture, including population growth, urbanization, and globalization. It then examines how climate change is affecting global temperatures, greenhouse gas emissions, and precipitation patterns. The document outlines projections for increased global temperatures and impacts on agriculture in India like reduced wheat production. It discusses how different sectors contribute to climate change and strategies for agricultural adaptation.
Simulating Optimal future land use in the Nordic area
Presented at: TradeM International Workshop
Hurdal (near Oslo) Norway - 25-27 November 2014
25-27 November 2014, Hurdal (near Oslo), Norway Economics of integrated assessment approaches for agriculture and the food sector
The LiveM theme of the FACCE-JPI MACSUR Knowledge Hub brings together 30 institutes from 14 European countries with expertise in a diverse range of disciplines, from grassland and farm-scale modelling through to livestock disease and health research.
Climate change, food security, and agricultural production interact in complex ways. A major challenge for scientists is to understand and assess the biological, economic, and ecological interdependencies in the context of climate change and food security. More and better knowledge is necessary to aid politicians, stakeholders and farmers in their decisions.
The event has four major goals:
• to critically discuss the state-of-the-art and future perspectives of integrated assessment approaches
• to study and assess examples of applied modelling approaches integrating crop, livestock, and economic models
• to foster international collaboration in the research areas of food security, climate change, and agrosystem modelling
• to plan and identify next steps to achieve TradeM contributions to MACSUR goals
Keynote-speaker: John Antle (Oregon State University), and co-leader of the Economics Team of AgMIP
BSU Assessments Study - Benguet
Highlights of the study on Vulnerability and Adaptation Capacity Assessments in the Cordillera Region - Benguet.
Similar to Potential Impact Of Climate Change On Land Use In The Lao Pdr (20)
IFPRI- Climate Change and Food Security - P S Birthal, NCAP
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Climate change impact on se aagric-070511 [compatibility mode]-3
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Climate change, its impact on agriculture and mitigation strategies
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Climate change and food security in West Africa: Demand for climate and envir...
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Day 3 obaidullah salehie, kabul university, afghanistan, arrcc-carissa workshop
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Drylands Climate: knowledge and projections, Jasper Batureine Mwesigwa ICPAC
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Climate change and agriculture lecture by MUHAMMAD FAHAD ANSARI 12IEEM 14
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Simulating Optimal future land use in the Nordic area
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- 1. Potential Impact of Climate Change on Land Use in the Lao PDR Mike Salazar / Laura Collet A short study implemented by the International Center for Tropical Agriculture (Centro Internacional de Agricultura Tropical – CIAT)
- 6. Results 2020 & 2050: Annual Mean Temp. 2
- 7. Results 2020 & 2050: Annual Mean Temp. 2 Example: Sayabouri Annual Mean Temperature 1982 – 2002: 23.7 °C Modeled 2020: 24.4 °C Modeled 2050: 25.7 °C
- 10. Impacts
- 11. Sugarcane: Current & Future Suitability
- 12. Arabica coffee: Current & Future Suitability
- 13. Land Use Change
- 15. Detecting Land Use Change – Results 2000 2009 Bare Land: < 0.5 Dense Vegetation: > 0.75
- 16. Detecting Land Use Change – Results Example of Sayabouri Province 2000 2009 Maiz
- 17. Detecting Land Use Change – Results Main Decrease: -150 - -7 Main Increase: 20 - 100 Mean: -2.32
- 18. Fire Patterns Spatial distribution of fire mapped over an elevation gradient by the years 2002, 2003, 2004, 2005, 2006 & 2007, 2008 and 2009 in Xieng Ngeung and Botene districts
- 19. Spatial pattern of vegetation activity Geographical distribution of 5 clusters classified in a time series (8-years) and labeled to land coverage in Botene
- 20. Spatial pattern of vegetation activity Geographical distribution of 5 clusters classified in a time series (8-years) and labeled to land coverage in Xieng Ngeun
- 22. Thank you
Editor's Notes
- A three-level hierarchical land use classification scheme based on the time series of forest/crop related land use change maps
- (A & B) Comparison of variability NDVI data in vegetation covers on day 81/Mar. 22 for 2000 and 2009 series.
- (C) Trends map depicting patterns of change vegetation. (D) Preliminary spatial pattern map of land cover on day 81 2009.
- (C) Trends map depicting patterns of change vegetation. (D) Preliminary spatial pattern map of land cover on day 81 2009.