Modeling coffee (Coffea arabica L.) climate suitability under current and future scenario in Jimma zone, Ethiopia

Benti, Fedhasa; Diga, Girma Mamo; Feyisa, Gudina Legessie; Tolesa, Alemayehu Regassa

doi:10.1007/s10661-022-09895-9

Cited by 7 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the MaxEnt model applied in Indonesia and Zimbabwe produced climate suitability until 2050 and extended projections for China (2060) and Ethiopia (2070) [71][72][73][74]. It also assesses the coffee-pollinating species occurrence in Latin America in response to climate variability (temperature, precipitation, and dry season) and sets the suitable ecological zones in Costa Rica against temperature, elevation, and diurnal range [75,76].…”

Section: Species Distribution Modelsmentioning

confidence: 99%

A Systematic Review of Analytical and Modelling Tools to Assess Climate Change Impacts and Adaptation on Coffee Agrosystems

Faraz,

Mereu,

Spano

et al. 2023

Sustainability

View full text Add to dashboard Cite

Several modelling tools reported the climate change impact on the coffee agrosystems. This article has adopted a systematic approach to searching out information from the literature about different modelling approaches to assess climate change impacts or/and adaptation on coffee crops worldwide. The review included all scientific publications from the date of the first relevant article until the end of 2022 and screened 60 relevant articles. Most results report research conducted in America, followed by Africa. The models assessed in the literature generally incorporate Intergovernmental Panel on Climate Change (IPCC) emission scenarios (80% of manuscripts), particularly Representative Concentration Pathways (RCP) and Special Report on Emission Scenarios (SRES), with the most common projection periods until 2050 (50% of documents). The selected manuscripts contain qualitative and quantitative modelling tools to simulate climate impact on crop suitability (55% of results), crop productivity (25% of studies), and pests and diseases (20% of the results). According to the analysed literature, MaxEnt is the leading machine learning model to assess the climate suitability of coffee agrosystems. The most authentic and reliable model in pest distribution is the Insect Life Cycle Modelling Software (ILCYM) (version 4.0). Scientific evidence shows a lack of adaptation modelling, especially in shading and irrigation practices, which crop models can assess. Therefore, it is recommended to fill this scientific gap by generating modelling tools to understand better coffee crop phenology and its adaptation under different climate scenarios to support adaptation strategies in coffee-producing countries, especially for the Robusta coffee species, where a lack of studies is reported (6% of the results), even though this species represents 40% of the total coffee production.

show abstract

Section: Species Distribution Modelsmentioning

confidence: 99%

A Systematic Review of Analytical and Modelling Tools to Assess Climate Change Impacts and Adaptation on Coffee Agrosystems

Faraz,

Mereu,

Spano

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The preferential sampling technique was adopted since it assures that all of the necessary samples have a chance of being involved in the research. The three types of coffee sub-zones defined by Benti et al (2022) were used to sample coffee trees in the research area. Three small-scale representative coffee farms (50 m Â 60 m) were randomly selected from sub-zones.…”

Section: Biomass Datamentioning

confidence: 99%

Impacts of extreme agroclimatic indicators on the performance of coffee (Coffea arabica L.) aboveground biomass in Jimma Zone, Ethiopia

Benti

Diga

Feyisa

et al. 2022

Heliyon

Self Cite

View full text Add to dashboard Cite

“…It is the second most traded commodity in the world after oil [5] and for this it is of great interest to the agrifood sector. Currently, the most cultivated varieties are Coffea arabica L. [6] and Coffea Canephora (robusta) [7] which account for 99% of global production (Fig. 1), Coffea liberica and Coffea Excelsa [8].…”

Section: Introductionmentioning

confidence: 99%

An Overview of Life Cycle Assessment (LCA) in the Coffee Supply Chain

Vinci

Maddaloni

Prencipe

et al. 2022

New Innovations in Economics, Business and Management Vol. 9

View full text Add to dashboard Cite

Coffee is one of the most popular beverages globally, as well as an important source of income for some Countries. It is one of the psychoactive beverages and is the second most traded commodity after oil. Due to its economic and health relevance, it is of great interest to the agri-food sector, and it could be important to assess the environmental impacts associated with its production and consumption. Life Cycle Assessment (LCA) is recognized as a valid quantitative tool for assessing the sustainability of a product or process. Within this work, an overview of LCA applications in the coffee supply chain was conducted. The results show the studies are still limited, they focus as much on the production phase as on production and consumption, and that there is no agreement either between functional units (FU), which vary depending on the type of research and the type of Country, nor between system boundaries, which consider different stages of production and consumption. There is also no concordance between methodologies and impact categories chosen, which in turn vary according to the method, which is chosen according to the Country of origin of the study. The impact categories most considered are linked to the environmental macro-area, human health and resources.

show abstract

Modeling coffee (Coffea arabica L.) climate suitability under current and future scenario in Jimma zone, Ethiopia

Cited by 7 publications

References 35 publications

A Systematic Review of Analytical and Modelling Tools to Assess Climate Change Impacts and Adaptation on Coffee Agrosystems

A Systematic Review of Analytical and Modelling Tools to Assess Climate Change Impacts and Adaptation on Coffee Agrosystems

Impacts of extreme agroclimatic indicators on the performance of coffee (Coffea arabica L.) aboveground biomass in Jimma Zone, Ethiopia

An Overview of Life Cycle Assessment (LCA) in the Coffee Supply Chain

Contact Info

Product

Resources

About