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Weather and Climate Data and Information for Agriculture in Argentina
Roberto SEILER
Universidad Nacional de RUniversidad Nacional de Ríío Cuarto o Cuarto –– CCóórdoba rdoba -- ArgentinaArgentina
Fac.de Agron. y Vet .- Agrometeorología |Ruta Nac. 36 Km 601-X5804 BYA Río Cuarto, Córdoba, Argentina
E-mail: [email protected]@ayv.unrc.edu.ar
“International Conference on Promoting Weather and Climate Information for Agricultural and Food Security”
Antalya‐Turkey, April 7‐9, 2014
Objectives of the conference
n To identify needs and limitations of the weather and climate information
n To summarize weather and climate services (or sources of data and information for) currently available
n Current means of communication of weather and climate information and services to the farming communities
What are the needs and limitations in Argentina; what are the services available and means of communications?
Survey about
n farmers motivation to use climate information
n the perception and sensibility to climate sensibility to climate change and climate variability change and climate variability in different areas and farming systems
nn participatory communication and dialog for participatory communication and dialog for successful climate services applicationsuccessful climate services application
Oncativo
Laboulaye
Río Cuarto
Marco Juárez
CCóórdoba Provincerdoba Province
ArgentinaArgentina
Study areaStudy area
Questions:• What are extreme climatic events do you identify that affect
more your activity in area?
• Which do you think that are the causes of farmers vulnerability to adverse climatic events?
• What actions/strategies do you think are needed or to be developed to reduce vulnerability to CV and CC?
• What do you think about agrometeorological services? Are they providing valuable information for making decisions at different levels?
Age, Education and Farm Size FeaturesFarmers’ age 30‐45 years 29%
45‐60 years 45%> 60 years 21%
Education level Primary 51%High 26%Univer. 21%
Farm size > 2000 ha 4 %500‐2000 ha 42%250‐500 ha 33%< 250 ha 21%
Weather events and major farmer´s concern in in the area??Weather events and major farmer´s concern in in the area??
Final Report Submitted to Assessments of Impacts and Adaptations to Climate Change (AIACC), Project No. LA29. Published by The International START Secretariat. 2000 Florida Avenue, NW, Washington, DC 20009 – USA. 173 pp. http://www.aiaccproject.org/Final%20Reports/final_reports.html
Type of climate information
received by the farmer
16.2%
18.1%
61.9%
3.8%None
Climate+Weather For.
Weather Forecast
Climate Forecast
Age
> 6045-6030-4515-30
Per
cent
100
90
80
70
60
50
40
30
20
10
0
Information
None
Weather+Climate For.
Weather Forecast
Climate Forecast
Preferences for Weather and Climate Information according to the Age of the Farmers
Farmer's perception of ENSO impactson regional climate
Farmer's perception
Never heard aboutthem
Not understand impactNiño<rain-Niña>rain
Niño>rain-Niña<rain
Perc
ent
80
70
60
50
40
30
20
10
0
1711
67
Age
> 6045-6030-4515-30
Per
cent
100
90
80
70
60
50
40
30
20
10
0
Farmers'perception
Never heard
Not understand
Niño<rain-Niña>rain
Niño >rain-Niña<rain
Farmer’s perception of ENSO impacts related to age
How much does climate information
influence farmer's management decisions
not at allsomewhatmoderatelystrongly
Per
cent
70
60
50
40
30
20
10
09
20
58
13
Weather and climate forecast: limitations for the use
5.8%
15.4%
3.8%
8.7%
1.9%
5.8%
58.7%
Lack of interest
Not credibles
Bad distr.channels
Very general
Tables/charts unclear
Difficult to understand
None
Weather and Climate Forecast: Obstacles to their use
by qualified groups
5.9%
5.9%
17.6%
2.9%67.6%
Lack of credibility
Bad distrib. channel
Very general
Not clearNone
Decisions in response to weather/climate date and information:
• crop mix (area planted) 54%• plant density 76%• pesticide and fertilizer amount 55%• planting date 69%• other type 2%
Preferences for weather/climate data and formats:
Spring rainfall; spring rainfall+summer temperature.
Means; means+actual data; past years comparison; above normal, near normal or below normal, probabilities.
Graphs only - 37%; charts only - 8%; charts and graphs - 43%; data & comments- 11%
n To summarize weather and climate services (or sources of data and information for) currently available
• Current means of communication of weather and climate information and services to the farming communities
Dissemination of the climate information
by qualified groups
6.7%
33.3%
6.7% 10.0%
43.3%
None
Internal use
General Public
Farmers
Other inst. and prevention agencies
How qualified groups disseminate
climate information?
27.8%
5.6%
55.6%
11.1%Massive comm.media
Fax
Meetings-conferences
Bulletins-booklets
Weather during the crop season – Severe drought 2011‐2012Weather during the crop season – Severe drought 2011‐2012
10-Ju
l31
-Jul
20-A
ug10
-Sep
30-S
ep20
-Oct
10-N
ov30-N
ov20
-Dec
10-Ja
n31
-Jan
20-F
eb10
-Mar
31-M
ar20
-Apr
10-M
ay31
-May
20-Ju
n
Fechas/Décadas
-40
0
40
80Ciclo 2011-2012
Fig. 3. Sequía ciclo 2011-2012. Lluvias decádicasregistradas durante el ciclo en Río Cuarto 10
-Jul
31-Ju
l20
-Aug
10-S
ep30
-Sep
20-O
ct10
-Nov
30-N
ov20
-Dec
10-Ja
n31
-Jan
20-F
eb10
-Mar
31-M
ar20
-Apr
10-M
ay31
-May
20-Ju
n
Lluv
ias
decá
dica
s (m
m, D
esv
de la
nor
mal
)
What decisions to take in the Spring base on the moisture storage during the last six months?What decisions to take in the Spring base on the moisture storage during the last six months?
1970 1980 1990 2000 2010 2020Years of the serie
-4
-2
0
2
4
What decisions to take in the Early Summer base on the moisture storage during the Winter and spring?What decisions to take in the Early Summer base on the moisture storage during the Winter and spring?
SPI6
_Sep
t
Main problems detected
• Farmer/users do not know what data/information to ask for, even the simplest
• It is not clear for them what kind of data or agrometeorologicalproducts may be useful for their decisions
• Well known products are the weather forecasts so they become the main product requested
• Agrometeorological data (when it is available) and analytical tools are passively delivery
Main problems detected (cont)
• While there are tools that have been developed and are available to end users, few have been properly designed as decision support tools with proper consideration of user needs or, user stories
• Agrometeorological services in Argentina are tied to the information of the National Weather Service, where agrometeorological divisions/departments are lack of resources
• Lack of Agrometeorologists or the professionals trained for agrometeorological services and data applications
Some recommendations:
• Building capacity is needed for agrometeorological service development and applications
• The capacity building must include human resources, sources of data, availability, research on analytical tools, communication and extension in agrometeorological services.
• More agrometeorologists and well trained are needed to intermediate between organizations/ institutions and final users(farmers, politicians, etc)
Some recommendations
• Promote and reinforce collaboration among specialized centers into the country and also with specialized centers overseas
• Studies on the users should be done about the satisfaction on the agrometeorological services and as a feed back to improve services
• Promote research on the analytical tools encompassed with training and capabilities of the farmers or associations to absorb such aprogress
• To promote the dialog among the different actors of the agrometeorological services