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Dataset 2016

Autor: Schroth, Götz Läderach, Peter Martínez Valle, Armando Isaac Bunn, Christian Jassogne, Laurence T.P.

We use a combination of a statistical model of climatic suitability (Maxent) and the analysis of individual, potentially limiting climate variables. We find that: 1) contrary to expectation, maximum dry season temperatures are projected to become as or more limiting for cocoa as dry season water ...

Enlace original: https://cgspace.cgiar.org/handle/10568/76699

Investigación en Agricultura
Enlace permanente
Schroth, Götz ,  Läderach, Peter ,  Martínez Valle, Armando Isaac ,  Bunn, Christian ,  Jassogne, Laurence T.P. ,  [Replication Data for: Vulnerability to climate change of cocoa in West Africa: Patterns, opportunities and limits to adaptation] ,  Replication Data for: Vulnerability to climate change of cocoa in West Africa: Patterns, opportunities and limits to adaptation
Dataset 2016

Autor: Schroth, Götz Läderach, Peter Martínez Valle, Armando Isaac Bunn, Christian

We discuss here such a regional approach for cocoa in West Africa, where 70 % of global cocoa supply originates. On the basis of a statistical model of relative climatic suitability calibrated on West African cocoa farming areas and average climate projections for the 2030s and 2050s of, respecti...

Enlace original: https://cgspace.cgiar.org/handle/10568/76700

Investigación en Agricultura
Enlace permanente
Schroth, Götz ,  Läderach, Peter ,  Martínez Valle, Armando Isaac ,  Bunn, Christian ,  [Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa] ,  Replication Data for: From site-level to regional adaptation planning for tropical commodities: cocoa in West Africa
Dataset 2014

Autor: Läderach, Peter Martínez Valle, Armando Isaac Schroth, Götz Castro, N.

Data for current and future suitability for cocoa farming of the world"s leading producer countries, Ghana and Ivory Coast. Based on species distribution modelling: MaxEnt.

Enlace original: https://cgspace.cgiar.org/handle/10568/77669

Investigación en Agricultura
Enlace permanente
Läderach, Peter ,  Martínez Valle, Armando Isaac ,  Schroth, Götz ,  Castro, N. ,  [Replication Data for: Predicting the future climatic suitability for cocoa farming of the leading producer countries, Ghana and Ivory Coast.] ,  Replication Data for: Predicting the future climatic suitability for cocoa farming of the leading producer countries, Ghana and Ivory Coast.
Dataset 2016-12-31

Autor: Baca, María Läderach, Peter Haggar, Jeremy P. Schroth, Götz Ovalle Rivera, Oriana

Experts predict that the climate change will affect all natural and human systems. Historical climate records show changes in average and extreme temperatures, as well as an increase in annual climate variability; this changes can affect all continents of our planet in different ways and the high...

Enlace original: https://cgspace.cgiar.org/handle/10568/79408

Investigación en Agricultura
Enlace permanente
Baca, María ,  Läderach, Peter ,  Haggar, Jeremy P. ,  Schroth, Götz ,  Ovalle Rivera, Oriana ,  [An Integrated Framework for Assessing Vulnerability to Climate Change and Developing Adaptation Strategies for Coffee Growing Families in Mesoamerica] ,  An Integrated Framework for Assessing Vulnerability to Climate Change and Developing Adaptation Strategies for Coffee Growing Families in Mesoamerica
Dataset 2015

Autor: Ovalle Rivera, Oriana Läderach, Peter Bunn, Christian Obersteiner, Michael Schroth, Götz

The dataset has 2194 coffee location points. Most of the data came from projects developed by the International Center for Tropical Agriculture (CIAT) in collaboration with other research centers and producer cooperatives. We modeled the global distribution of Arabica coffee under changes in cli...

Enlace original: https://cgspace.cgiar.org/handle/10568/77670

Investigación en Agricultura
Enlace permanente
Ovalle Rivera, Oriana ,  Läderach, Peter ,  Bunn, Christian ,  Obersteiner, Michael ,  Schroth, Götz ,  [Replication Data for: Projected shifts in Coffea arabica suitability among major global producing regions due to climate change] ,  Replication Data for: Projected shifts in Coffea arabica suitability among major global producing regions due to climate change

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