Jun matsumoto
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- Year-to-year variations in rice production in Bangladesh are not strongly correlated with summer monsoon rainfall and are more influenced by water from outside sources. Severe floods have interesting impacts, such as decreased aman rice production due to reduced cultivation area, but increased boro rice production in the following dry season due to expanded cultivation area. - After severe floods in 1998, boro rice production in the dry season exceeded aman rice production in the wet season, and boro rice has now become the major rice crop in Bangladesh due to increased irrigation. Rice cultivation has adapted over time to overcome flood damages. - The results suggest Bangladesh rice production has strong resilience and effective adaptation strategies to frequent flooding, so floods
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Rainfall Trend Analysis of Hassan District in Karnataka
Abstract: The daily rainfall data of Hassan district of Karnataka for last 39 years (1971-2009) were analyzed to study its variability. Being a part of the semi-arid region it receives mean annual rainfall of 784.6 mm with 28.2 per cent variability. The contributing from winter, pre-monsoon, monsoon and post monsoon period to the total rainfall was 0.8, 8.3, 56.5 and 23.3 per cent, respectively. Each standard meteorological week (SMW) from 18th to 45th receive a rainfall of above 20 mm with less variability (within 145%) indicating the crop growing period from 1st fortnight of May to 1st fortnight of November. The monthly mean rainfall was observed to be 87.2, 106.6, 126.3, 101.3, 109.0, 127.5 and 46.5 for May, June, July, August, September, October and November months, respectively. The trend analysis of rainfall indicated that, the mean annual rainfall was more or less similar since 1971, however, the variability was showed increasing trend from 1971-1980 to 2001-2009. Being a semi-arid climate, Hassan district was frequently affected by periodical drought and the study indicated out of past 39 years 5years were experienced the slight drought (-19 to -25% D from N), 5 years were falls under moderate drought (-26 to -50% D from N) and one year (1996) was severe drought with -72.3% deviation from Normal.
climatre.pdf
This document is a research article that assesses the impact of climate variability and change on maize yield in Gamo Zone, Southern Ethiopia using crop modeling. It uses output from 3 CMIP5 climate models under 2 climate scenarios (RCP4.5 and RCP8.5) as inputs to the APSIM crop model to simulate maize yields. The results show inconsistent temperature and rainfall trends due to climate change. Simulated maize yields match observed yields with low error. Median yields are projected to decrease by up to 36.5% by 2041-2070 due to less rainfall, but increase by up to 29.2% from 2010-2040 under both climate scenarios.
Effects of Floods on Rice Production in Bangladesh
The actual situation of the effect of flood is examined with a view to evaluate the rice production in Bangladesh. Ten villages by taking two villages from five sub districts of the Gazipur district of Bangladesh were selected for the study. Of the two villages, one village is located comparatively nearer to the sub district headquarter while the other one is located comparatively away from the sub district headquarter. Total 1000 farmers by taking 100 from each village were surveyed through pre structured questionnaire. The study is done through regression analyses. It is found that the coefficient of flood has significant and negative effects on rice production of all villages. Evidences show from the study that production of rice in the flood affected areas can rise by taking some steps.
Economic Impact of Climate Change on Wheat and Cotton in Major Districts of P...
Economic Impact of Climate Change on Wheat and Cotton in Major Districts of P...International Journal of Economics and Financial Research
The long run impact of climate change on the productivity of major crops in the districts of Punjab is analyzed for the time period of 1970 to 2010. This study used deviations from average maximum annual temperature and deviations from average rainfall are used as indicators for climate change. While other variables include sale price, fertilizer use and number of tube wells. In order to incorporate long timer periods, this study used Panel ARDL model. The results show that cotton productivity is more positively sensitive to price changes; an increase in temperature, tube wells and fertilizers while wheat productivity is more positively sensitive to the rainfall in the long run. Consequently, in the short run, wheat productivity equilibrium is faster converging. Hence deviations from average rainfall are harmful to cotton crop in the long run and cotton & wheat in the short run, while deviations in maximum temperature is only harmful for cotton crop in the short run.Association of cropping system over the period in Dharwad district of Karnataka
Association of cropping system over the period in Dharwad district of Karnatakahindagrihorticulturalsociety
This document discusses the impacts of climate change on agriculture in the Dharwad district of Karnataka, India. It aims to study the association between cropping systems in the district over time. Key findings include:
- Global warming is projected to significantly impact agricultural conditions like temperature, precipitation, etc. Assessing climate change impacts can help adapt suitable farming practices.
- The study analyzed data on area and price of major crops (chilli, maize, groundnut, sorghum, cotton, soybean) in Dharwad district from 1995-2009.
- Results found that while crop areas saw some variation, cotton crop area was consistently first based on the Kendall's coefficient of concordance testClimatic Variations and Cereal Production in India: An Empirical Analysis
The study is an attempt to forecast the impact of climate variations on the production of two main cereal crops, i.e., wheat and paddy, by employing a crop model using cross-section data for the year 2014-2015. The findings predict that the yield of the wheat crop is expected to go down in the farms in the plains by 10.11 per cent, while set to increase in the farms in the hills by 6.70 per cent, respectively by 2100 AD. The results, further pinpoint that the production of paddy crop is expected to decline in both farms in the plains and farms at hills by 15.04 percent and 12.83 per cent respectively for farms in the plains and farms in the hills by the turn of this century. The study recommends the expansion of area under wheat cultivation for the farms in the hills in order to compensate the loss in production of wheat farming in farms in the plains to maintain the aggregate production of wheat at the same level. There found a dire need for the development and adoption of climate responsive varieties of both crops along with the spatial diversification of crops (full or partial), to cope with the future shocks of climate variability.
Enhancing Farmers' Resilience of Sri Lankan Dry Zones to a Changing Climate
Enhancing Farmers' Resilience of Sri Lankan Dry Zones to a Changing Climate
Presented by:
Mr. Mohamed Fazal Mohamed Ajwaad – Project Officer, ACCEND / Project, Oxfam Italia, Sri Lanka
Ms. Dolgorsuren Sanjjav – Technical Officer / CBIT Project / UNFAO, Mongolia
Mr. Pratik Singh Thakuri – Program and Research Officer, Centre of Research for Environment, Energy and Water (CREEW), Nepal
Mr. Bart David Quibod – Instructor, Department of Pharmaceutical Chemistry; Chairperson, Disaster Preparedness and Emergency Response Committee; NSTP Coordinator, College of Pharmacy, University of the Philippines Manila
2019 ProSPER.Net Leadership Programme
24-30 November, 2019
Irrigation Efficiency
Irrigation Efficiency Enhancement in Hotriculture- Govt Initiative Policies- 5th Asian Regional Conference. New Delhi
Climate_Variability_and_Its_implication.pdf
This document summarizes a study on climate variability and its implications for wheat productivity and farmers' adaptation strategies in Robe Town and surrounding areas of Ethiopia. The study used descriptive and survey research methods to analyze climate trends over 30 years and their effects on wheat yields. Statistical analyses including ARIMA modeling found increasing temperatures (0.04°C annually) and decreasing rainfall (-0.28mm annually) in the region. The results also showed wheat yield reductions of 0.014 quintals per 1mm decrease in spring rainfall and 1.41 quintals per 10°C increase in annual temperature. Farmers' current coping strategies were found to be largely traditional and potentially destructive. The conclusion was that temperatures are projected to increase further
From land reform to pump energisation a shift in agricultural drivers in west...
From land reform to pump energisation a shift in agricultural drivers in west...International Water Management Institute (IWMI)
by Archisman Mitra, Marie-Charlotte Buisson
Stockholm World Water Week
Workshop - Water, Energy, Food and Ecosystem Security
2 September 2014Similar to Jun matsumoto (20)
IFPRI-TAAS-ICAR- Climate Risks, Agriculture and SDG's- Ch. Srinivasa Rao
IFPRI-TAAS-ICAR- Climate Risks, Agriculture and SDG's- Ch. Srinivasa Rao
IFPRI- Climate Change and Food Security - P S Birthal, NCAP
IFPRI- Climate Change and Food Security - P S Birthal, NCAP
Sustainability of Pod Yields of Groundnut through Crop Seasonal Rainfall, Len...
Sustainability of Pod Yields of Groundnut through Crop Seasonal Rainfall, Len...
Rainfall Trend Analysis of Mandya District in Karnataka
Rainfall Trend Analysis of Mandya District in Karnataka
Economic benefits and ecological cost of green revaluation
Economic benefits and ecological cost of green revaluation
Relationship between Cotton Production and Virtual Water in India
Relationship between Cotton Production and Virtual Water in India
Impact of climate change on wheat yield using remote sensing technique | JBES...
Impact of climate change on wheat yield using remote sensing technique | JBES...
Rainfall Trend Analysis of Hassan District in Karnataka
Rainfall Trend Analysis of Hassan District in Karnataka
Effects of Floods on Rice Production in Bangladesh
Effects of Floods on Rice Production in Bangladesh
Economic Impact of Climate Change on Wheat and Cotton in Major Districts of P...
Economic Impact of Climate Change on Wheat and Cotton in Major Districts of P...
Association of cropping system over the period in Dharwad district of Karnataka
Association of cropping system over the period in Dharwad district of Karnataka
Climatic Variations and Cereal Production in India: An Empirical Analysis
Climatic Variations and Cereal Production in India: An Empirical Analysis
Enhancing Farmers' Resilience of Sri Lankan Dry Zones to a Changing Climate
Enhancing Farmers' Resilience of Sri Lankan Dry Zones to a Changing Climate
From land reform to pump energisation a shift in agricultural drivers in west...
From land reform to pump energisation a shift in agricultural drivers in west...
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Jun matsumoto
- 1. Effect of Rainfall and flood on rice production in Bangladesh Jun MATSUMOTO (Department of Geography, Tokyo Metropolitan Univ., JAMSTEC/DCOP） and Haruhisa ASADA (Nara Women’s Univ.) International Conference on Climate Change Innovation and Resilience for Sustainable Livelihood 12-14 January 2015, Kathmandu, Nepal
- 2. Foodgrain production (in rainy season) and Monsoon Rainfall in India: 1966-1988. (Parthasarathy et al. 1992) In India, rice production depends greatly on summer monsoon rainfall. Significant positive correlation (r = 0.878) exists between foodgrain production and summer monsoon rainfall (Jun.-Sep.) in the whole country. Introduction Wet year → Good harvest Dry year → Poor harvest Although regional differences are expected, little has been known. → Need to reveal the past and present linkage between climate parameters, farmer’s responses and rice production in regional level before considering future climate change adaptation.
- 3. Relationship between year to year changes of rice production and summer monsoon rainfall in India (left) and in Thailand (right) (Gadgil and Rupa Kumar, 2006) Purpose: How about the situation in Bangladesh?
- 4. Data used in the study 3. Agricultural Data (1947-2010) Rice production (t), area (ha), yield (t/ha) and irrigated area (ha) of local variety and HYV. Source: Yearbook of Agricultural Statistics, BBS 2. Flood Data (1954-2010) 1. Rainfall Data (1980-2010) Flood affected area (percentage of country total area). Source: Bangladesh Water Development Board (BWDB) Monsoon rainfall (total amount of 34 stations during June-September) Source: Bangladesh Meteorological Department (BMD)
- 5. -20 -15 -10 -5 0 5 10 15 20 25 30000 35000 40000 45000 50000 55000 60000 65000 70000 75000 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 YeartoYearchangeofAmanyield Monsoonrainfall Monsoon rainfall - Aman rice yield (% change) during 1980-2010 Monsoon rainfall Aman rice yield (%) (mm) (%) Year to year changes of rice production, and summer monsoon rainfall in Bangladesh
- 6. R² = 0.1227 -25 -20 -15 -10 -5 0 5 10 15 20 25 -40 -30 -20 -10 0 10 20 30 40 Year to year change of Monsoon rainfall Monsoon rainfall - Aman rice yield (% change) during 1980-2010 (%) (%) Year to year change of Aman yield Relationship between year to year changes of rice production and summer monsoon rainfall in Bangladesh
- 7. Flood inundation map of Bangladesh in 1998 (Area of total inundation is 68%) Flood inundation map of Bangladesh in 2004 (Area of total inundation is 38%) Flood inundation map of Bangladesh in 2007 (Area of total inundation is 32%)
- 8. Rice cropping patterns in Bangladesh Aman: Wet season rice Boro: Dry season rice
- 9. Figure 1. The inter-annual variation of the rice production and flood affected area from 1947 to 2010. 0 5 10 15 20 25 30 35 0 10 20 30 40 50 60 70 80 90 100 1947 1949 1951 1953 1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Production(106ton) Floodaffectedarea(%) Flood affected area (%) Aus Aman Boro Total rice
- 10. Figure 2. The inter-annual variation of the rice cultivated area and flood affected area from 1947 to 2010 0 2 4 6 8 10 12 14 0 10 20 30 40 50 60 70 80 90 100 1947 1949 1951 1953 1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Cultivatedarea(106ha) Floodaffectedarea(%) Flood affected area (%) Aus Aman Boro Total rice
- 11. Figure 3. The inter-annual variation of the rice yield and flood affected area from 1947 to 2010. 0 0.5 1 1.5 2 2.5 3 3.5 4 0 10 20 30 40 50 60 70 80 90 100 1947 1949 1951 1953 1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Yield(ton/ha) Floodaffectedarea(%) Flood affected area(%) Aus Aman Boro
- 12. 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 5 0 10 20 30 40 50 60 70 80 90 100 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 Cultivatedandirrigatedareas(106ha) Floodaffectedarea(%) Flood affected area(%) Local Boro HYV Boro Irrigated area Figure 4. Variations of Boro rice, cultivated area, irrigated area and flood affected area (1969-2010)
- 13. Summary (1) • Year-to year variations of rice production were poorly correlated with those of summer monsoon rainfall in Bangladesh where water from outside is more important and interesting features associated with severe floods were found. • Amon rice production in the severe flood years was decreased due to the decrease of cultivation area. In the following dry season, boro rice production was increased due to the increase of cultivation area. The following wet season, both aman and boro rice productions were increased due to the increase of both yield and cultivation area resulting in the great increase of total rice productions in the following severe flood years.
- 14. Summary (2) • After severe flood in 1998, rice production in dry season exceeds that in wet season in Bangladesh, and it is now becoming the major rice due to the increase of irrigation. As such Bangladesh rice cultivation has been developed stepwise to overcome severe flood damages. • The results seem to show strong resilience or effective adaptation strategy of rice production to the recent frequent flood damages in Bangladesh. • Floods are not harmful for Bangladesh agriculture in a long-term perspective?
- 15. References •Asada, H., J. Matsumoto, and R. Rahman. (2005). “Impact of recent severe floods on rice production in Bangladesh.” Geographical Review of Japan, 78 (12): 783–793. •Asada, H. and J. Matsumoto. (2009). “Effects of rainfall variation on rice production in the Ganges-Brahmaputra basin.” Climate Research, 38 (3): 249–260. •Asada, H. (2012). Climate and Rice Cropping Systems in the Brahmaputra Basin: An Approach to Area Studies on Bangladesh and Assam. Rubi Enterprise, Dhaka, 115pp.