Global Climate Models (GCMs) have been the primary source of information for constructing climate scenarios, and they provide the basis for climate change impacts assessments of climate change at all scales, from local to global. However, impact studies rarely use GCM outputs directly because err...
Navarro-Racines, Carlos E.
,
Tarapues JE
,
[Bias-correction in the CCAFS-Climate Portal: A description of methodologies]
,
Bias-correction in the CCAFS-Climate Portal: A description of methodologies
We used 500m gridded historical and future climate surfaces for Risaralda, Colombia and coffee presences and absences to train species distribution models (suitability). Five methods were used: Generalized Boosting Model (GBM) (Friedman, 2001), Random Forest (RF) (Breiman, 2001), Maxent (Phillips...
Vallejo Arango, Eliana
,
Navarro-Racines, Carlos E.
,
Ramírez Villegas, Julián
,
Aguilar-Ariza, Andrés
,
Delerce, Sylvain Jean
,
[500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia]
,
500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia
This chapter provides an overview of predicted global climate change, placing special emphasis on the implications for agriculture. The power of modelling for understanding both impacts on productivity and adaptation options is demonstrated. The models on agricultural production for
50 crops pred...