cropclimate | using climate forecasts and crop modeling to transform data into value for farmers

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Using climate forecasts and crop modeling to transform data into value for farmers Guillermo A. Baigorria [email protected] School of Natural Resources – and – Dpt. of Agronomy & Horticulture International Consortium for Categorical Climate Forecast Applications

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Page 1: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Using climate forecasts and crop modeling to transform data into value for farmers

Guillermo A. Baigorria [email protected]

School of Natural Resources – and – Dpt. of Agronomy & Horticulture

International Consortium for Categorical Climate Forecast Applications

Page 2: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

Agricultural decisions

We can control and improve:

• Soils (fertilization, tillage/no-tillage, conservation, etc.)

• Land allocation (where to crop what)

• Genetics (variety, crop density, etc.)

• Competition (weeds, insects, etc.)

Page 3: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

Agricultural decisions

We can control and improve:

• Soils (fertilization, tillage/no-tillage, conservation, etc.)

• Land allocation (where to crop what)

• Genetics (variety, crop density, etc.)

• Competition (weeds, insects, etc.)

We can not control:

Climate Main cause for interannual variability

Page 4: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

Agricultural decisions

We can not control:

But we can forecast it

and used it for decision making

Climate

Page 5: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Type of decisions

Tactical decisions: When to plant, when to irrigate, when to fertilize, etc.

Strategic decisions: Land allocation for different crops, selection of crop

variety, insurance (type and level), etc.

Long term decisions: Sell/purchase land, Invest on an irrigation system,

machinery, etc.

CropClimate.org

Page 6: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Type of decisions

Tactical decisions: When to plant, when to irrigate, when to fertilize, etc.

Strategic decisions: Land allocation for different crops, selection of crop

variety, insurance (type and level), etc.

Long term decisions: Sell/purchase land, Invest on an irrigation system,

machinery, etc.

CropClimate.org

Page 7: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Type of decisions

Tactical decisions: When to plant, when to irrigate, when to fertilize, etc.

Strategic decisions: Land allocation for different crops, selection of crop

variety, insurance (type and level), etc.

Long term decisions: Sell/purchase land, Invest on an irrigation system,

machinery, etc.

CropClimate.org

Risk Taker vs Risk Averse

Page 8: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

CropClimate is a non-funded platform that

translates categorical seasonal climate information

into crop management decisions

to

take advantage and reduce impacts of climate on agriculture

Page 9: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

CropClimate will support Users in making decisions such as:

- Selecting cultivar

- Selecting planting date

- Selecting plant density

- Selecting crop insurance

and it will provide Users with information about

- Nationwide county level crop yield forecasts (prices?)

- Climate risk forecasts

Page 10: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Categorical Seasonal Climate monitoring & forecasts (teleconnection indices)

Categorical Discrete (e.g. El Niño, Neutral, La Niña)

Seasonal Climate

1 to 9 months in advance

CropClimate.org

Page 11: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Teleconnection indices

El Niño and the Southern Oscillation (ENSO)

El Niño La Niña

CropClimate.org

Page 12: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Teleconnection indices

El Niño and the Southern Oscillation (ENSO)

El Niño Neutral La Niña

CropClimate.org

Page 13: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Worldwide effects of ENSO

El Niño La Niña

CropClimate.org

Page 14: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

Worldwide effects of ENSO

Page 15: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Source: https://www2.ucar.edu/

Teleconnections Map

CropClimate.org

Page 16: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Yield timeseries

CropClimate.org

Page 17: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Technology de-trended yield timeseries

CropClimate.org

Page 18: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

So we know the effects, now

What can we do?

CropClimate.org

Page 19: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

CropClimate.org

Page 20: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

Using climate forecasts and crop modeling to transform data into value for farmers

Guillermo A. Baigorria [email protected]

School of Natural Resources – and – Dpt. of Agronomy & Horticulture

International Consortium for Categorical Climate Forecast Applications

Page 21: CropClimate | Using climate forecasts and crop modeling to transform data into value for farmers

• Because climate is non-stationary, global and regional climate driver trends are no longer important

Source: The University of Alabama in Huntsville