Coffee and climate change. Effectively guiding forward looking climate change adaptation of global coffee supply chains

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Coffee and climate change Effectively guiding forward looking climate change adaptation of global coffee supply chains

The future of coffee production

The future of coffee production Picture: N. Palmer

Climate smart coffee Sustainable intensification Adaptation Mitigation

Climate smart coffee Sustainable intensification Adaptation Mitigation

The adaptation challenge Change Current 2050

The adaptation challenge Change Current 2050

The adaptation challenge Funded by:

The adaptation challenge Funded by:

The adaptation challenge Areas with a long dry season and high maximum temperatures will be most affected Area around equator least affected No latitudinal migration Altitudinal migration Funded by:

The adaptation challenge Global coffee production 1961-2013 Source: FAOstat 2015

The adaptation challenge Source: Van Vuuren et al. 2011

The adaptation challenge DEMAND Exogenous drivers Population, GDP Wood products Food Bioenergy PROCESS Process Primary wood Crops products G4M SUPPLY SPATIALLY EXPLICIT INPUT DATA Biophysical models Climate AGRICULTUR E EPIC Soil and topography RUMINANT Managemen t HRU = Altitude & Slope & Soil Altitude class, Slope class, Soil Class FORESTRY PX5 PX5 Altitude class (m): 0 300, 300 600, 600 1200, 1200 2500 and > 2500; Slope class (deg): 0 3, 3 6, 6 10, 10 15, 15 30, 30 50 and > 50; Soil texture class: coarse, medium, fine, stony and peat; Land cover Aggregation in larger units (max 200*200 km) Between 10*10 km and 50*50 km Havlik et al 2012

The adaptation challenge

The adaptation challenge

The adaptation challenge

Conclusion - The adaptation challenge 50% of available area 100% more coffee area 25% less total production 50% higher prices More Robusta Source: Bunn 2015

Reactive adaptation The climate has become unpredictable, it rains less and very irregularly, my yield has decreased and I have more pest and disease problems. Don Pedro, Nicaragua, Madriz, January, 2010 Income uncertainty results in increased migration

Climate attribute Reactive adaptation Expected losses Economic yield range Yield Expected losses The cost of avoiding damage is higher than expected loss!

Reactive adaptation In T 1 expectations shift. Incurred losses exceed costs of adaptation T 1

Reactive adaptation T 1 T 2 In T 2 expectations shift again

Reactive adaptation Yields were reduced in Tanzania Every 1 C increase reduces yields by 137 kg/ha

Reactive adaptation Coffee berry borer incidence increased Higher temperatures result in higher reproduction rate A. Kawabata

Reactive adaptation Rust crisis in Central America Increased night time temperatures a likely cause

Conclusions Reactive adaptation Observed impacts Rust Berry borer Reduced yields Drought Migration Damage already incurred Future damage not avoided Trends are disputable A forward looking approach is preferential

Pro-active adaptation

Pro-active adaptation

Pro-active adaptation Incremental Shade and irrigation; improved crop, pest and diseases, shade, soil, water and fertility management

Pro-active adaptation Systemic Breed new varieties; graft Arabica on Robusta varieties, diversification into Robusta coffee, cocoa, or other tree crops.

Pro-active adaptation - Transform Move from diversification to replacing crops, emigrate to other region, off farm employment

Pro-active adaptation Current coffee locations Likely unsuitable Uncertain Likely suitable Transform Systemic Incremental

Pro-active adaptation Funded by:

Pro-active adaptation Funded by:

Pro-active adaptation We can learn from low altitudes in proximity to coffee areas Funded by:

Pro-active adaptation Funded by: Thevada Estate, Paksong, Laos

Conclusions Pro-active adaptation Projected impacts Increased heat High precipitation uncertainty Overcoming heat and drought may mitigate impacts Climate risk will increase even in a perfect scenario

Mainstreaming Climate-Smart Coffee

Mainstreaming Climate-Smart Coffee Map the impact gradient to understand the risk of climate change over time Convene value chain actors along the exposure gradient Today 2030 2050s Areas that transition from one suitability type to another but remain suitable Locations where climate characteristics will not fundamentally change Production in these zones will likely become unviable and other crops should be considered Identify and prioritize relevant CSA practices by exposure gradient and analyze costs and benefits. Construct exposure specific portfolios of priority CSA practices for different investors Prioritized menus of CSA options with cost-benefit Tailored CSA investment plans

Mainstreaming Climate-Smart Coffee More intervention from the private sector More intervention from the public sector

Mainstreaming Climate-Smart Coffee High institutional support Knowledge exchange Insurance Close the yield gap Technical support Combat pests + diseases Improved varieties Climate smart practices Suitable climate Higher elevations Close to the equator

The elephant in the room

Thank you The 26th International Conference on Coffee Science Bunn, Christian, P Läderach, M Lundy, C Montagnon, A Mosnier