scholarly journals Benefits of Extensive Solar Electricity Generation in Reference to Current Climate Change Scenario

2021 ◽  
Vol 1714 ◽  
pp. 012048
Author(s):  
Rutvik Joshi
2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Magali García Rosero ◽  
Hugo Soplín ◽  
Julio Alegre ◽  
Alexander Rodríguez ◽  
Manuel Cantos ◽  
...  

Se determinó la distribución potencial de C. capitata bajo condiciones del clima actual y un escenario de cambio climático (A1B-2030) para el Ecuador, empleando el modelo CLIMEX versión 3. El modelo usó parámetros fisiológicos de C. capitata y datos meteorológicos globales para construir un Índice Ecoclimático (IE), el cual describió zonas muy favorables (IE>30), zonas menos favorables (IE<30) y zonas nulas (IE=0) para la distribución de C. capitata durante todo el año. Se estimó que el porcentaje de áreas muy favorables (IE>30) de C. capitata es 47.73% en condiciones actuales de clima y 33.3% en el escenario A1B-2030. Adicionalmente, se estimó que el porcentaje de áreas menos favorables (IE<30) es 47.61% en condiciones actuales de clima y 62.17% en el escenario A1B-2030. Las áreas de probabilidad nula para establecimiento de C. capitata es 4.65% para condiciones actuales de clima y 4.80% para el escenario A1B-2030.AbstractThis study determined the potential distribution of C. capitata under current climate conditions and a climate change scenario (A1B-2030) for the Ecuador using the CLIMEX model version 3. The model used physiological parameters of C. capitata and global meteorological data, to build an Ecoclimatic Index (EI), which described the very favorable areas (EI > 30), less favorable areas (EI < 30) and less favorable areas (EI = 0) for the distribution of C. capitata throughout the year. It was estimated that the percentage of very favorable areas (EI > 30) of C. capitata is 47.73% in current climate conditions and 33.3% in the scenario (A1B-2030). In addition, it was estimated that the percentage of less favorable areas (EI < 30) is 47.61% in current climate conditions and 62.17% in the scenario (A1B-2030). The areas with zero probability for establishment of C. capitata is 4.65% for current climate conditions and 4.80% for the scenario (A1B-2030). 


Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 385
Author(s):  
Beatrice Nöldeke ◽  
Etti Winter ◽  
Yves Laumonier ◽  
Trifosa Simamora

In recent years, agroforestry has gained increasing attention as an option to simultaneously alleviate poverty, provide ecological benefits, and mitigate climate change. The present study simulates small-scale farmers’ agroforestry adoption decisions to investigate the consequences for livelihoods and the environment over time. To explore the interdependencies between agroforestry adoption, livelihoods, and the environment, an agent-based model adjusted to a case study area in rural Indonesia was implemented. Thereby, the model compares different scenarios, including a climate change scenario. The agroforestry system under investigation consists of an illipe (Shorea stenoptera) rubber (Hevea brasiliensis) mix, which are both locally valued tree species. The simulations reveal that farmers who adopt agroforestry diversify their livelihood portfolio while increasing income. Additionally, the model predicts environmental benefits: enhanced biodiversity and higher carbon sequestration in the landscape. The benefits of agroforestry for livelihoods and nature gain particular importance in the climate change scenario. The results therefore provide policy-makers and practitioners with insights into the dynamic economic and environmental advantages of promoting agroforestry.


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