Intra-seasonal climate variability and crop diversification strategies in the Peruvian Andes: A word of caution on the sustainability of adaptation to climate change

2020 ◽  
Vol 127 ◽  
pp. 104740 ◽  
Author(s):  
Carmen Ponce
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Crop Diversification ◽  
Adaptation To Climate Change ◽  
Peruvian Andes ◽  
Seasonal Climate ◽  
Diversification Strategies

Elderly smallholder farmers’ perceptions of and adaptation to climate variability and change in rural Ghana

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Divine Odame Appiah ◽  
Felix Asante ◽  
Lois Antwi-Boadi ◽  
Richard Serbeh
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Formal Education ◽  
Social Protection ◽  
Smallholder Farmers ◽  
Well Being ◽  
Pension Scheme ◽  
Adaptation To Climate Change ◽  
Climate Variability And Change ◽  
Content Type

Purpose This paper aims to examine elderly smallholder farmers’ perceptions of and adaptation to climate variability and change in the Offinso Municipality, Ghana. Design/methodology/approach This paper used quantitative and qualitative methods. Quantitative data were analyzed with frequencies and chi-square tests, whereas qualitative data were thematically analyzed. Findings The results showed that elderly smallholder farmers’ knowledge of climate variability and climate change were based on their sex, level of formal education and experience in farming. Elderly smallholder farmers adopted both on-farm and off-farm strategies to cope with climate change and variability. The vulnerability of elderly smallholder farmers to climate change calls for social protection mechanisms such as a pension scheme that guarantees access to monthly cash transfers. Such a scheme will ease constraints to livelihood and ensure improved well-being. Originality/value Elderly smallholder farmers have remained invisible in discourses on perceptions and adaptation to climate change despite the surge in number of this category of farmers. This paper therefore represents an attempt to highlight the experiences of elderly smallholder farmers with climate variability and change.

scholarly journals Impacts of Climate Variability and Climate Change and Adaptation Strategy among Small Scale Farmers of Kurfa Chele District, East Hararghe Zone, Oromia Region, Ethiopia

2020 ◽  
pp. 113-125
Author(s):  
Suleyman Abdureman Omer ◽  
Nuradin Abdi Hassen
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Information Dissemination ◽  
Statistical Significance ◽  
Adaptation Strategy ◽  
Small Scale ◽  
Research Strategies ◽  
Adaptation To Climate Change ◽  
Agriculture Sector ◽  
Small Scale Farmers

Climate variability and change has caused instability in production and decline in productivity exacerbating food insecurity particularly in Latin America, Africa including Ethiopia and some parts of Asia. The magnitude and frequency of extreme climatic events is projected to increase. The effects of these climatic changes will become even more pronounced among small scale farmers whose farming activities are weather dependent and vulnerable to climate change, and already affected by environmental degradation and socio-economic risks. Effective adaptation to climate change among small scale farmers is therefore of critical importance, and is dependent on adoption of climate smart practices. However, studies have shown low adoption of climate smart farming practices among small scale farmers world over, in East Hararghe Zone and Kurfa Chele District. This study therefore examined factors influencing adoption of climate smart practices among farmers Kurfa Chele District, East Hararghe Zone, evaluated their existing knowledge, attitude and practice of these practices, assessed their perception of climate change, examined the extent of climate information dissemination, and the resultant impact on uptake of these practices. The research adopted a survey research design, where both quantitative and qualitative research strategies were used. Data was gathered through Focus Group Discussions, questionnaires, key informant interviews, observations and desk review. Both simple random and purposive sampling was used to sample 420 small scale farmers and technical officers of the agriculture sector respectively. Data was analysed using both quantitative and qualitative techniques. To test the statistical significance of the findings and relationships between the variables, chi-square test was used.

Adaptation to climate change and climate variability in European agriculture: The importance of farm level responses

2010 ◽  
Vol 32 (1) ◽  
pp. 91-102 ◽  
Author(s):  
Pytrik Reidsma ◽  
Frank Ewert ◽  
Alfons Oude Lansink ◽  
Rik Leemans
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Adaptation To Climate Change ◽  
Farm Level ◽  
European Agriculture

scholarly journals Women’s empowerment and farmland allocations in Bangladesh: evidence of a possible pathway to crop diversification

2020 ◽  
Vol 163 (2) ◽  
pp. 1025-1043
Author(s):  
Alessandro De Pinto ◽  
Greg Seymour ◽  
Elizabeth Bryan ◽  
Prapti Bhandari
Keyword(s):  
Climate Change ◽  
Crop Production ◽  
Women's Empowerment ◽  
Women’S Empowerment ◽  
Management Tool ◽  
Crop Diversification ◽  
Micronutrient Deficiencies ◽  
Adaptation To Climate Change ◽  
Diet Diversity ◽  
Vegetables And Fruits

AbstractClimate change will likely affect several of the dimensions that determine people’s food security status in Bangladesh, from crop production to the availability and accessibility of food products. Crop diversification is a form of adaptation to climate change that reduces exposure to climate-related risks and has also been shown to increase diet diversity, reduce micronutrient deficiencies, and positively affect agro-ecological systems. Despite these benefits, the level of crop diversification in Bangladesh remains extremely low, requiring an examination of the factors that support uptake of this practice. This paper explores whether women’s empowerment, measured using the Women’s Empowerment in Agriculture Index (WEAI), leads to increased diversification in the use of farmland. Our results reveal that some aspects of women’s empowerment in agriculture, but not all, lead to more diversification and to a transition from cereal production to other crops like vegetables and fruits. These findings suggest a possible pathway for gender-sensitive interventions that promote crop diversity as a risk management tool and as a way to improve the availability of nutritious crops.

scholarly journals Compiling an Inventory of Glacier-Bed Overdeepenings and Potential New Lakes in De-Glaciating Areas of the Peruvian Andes: Approach, First Results, and Perspectives for Adaptation to Climate Change

Water ◽  
2017 ◽  
Vol 9 (5) ◽  
pp. 336 ◽  
Author(s):  
Daniel Colonia ◽  
Judith Torres ◽  
Wilfried Haeberli ◽  
Simone Schauwecker ◽  
Eliane Braendle ◽  
...  
Keyword(s):  
Climate Change ◽  
Adaptation To Climate Change ◽  
Peruvian Andes ◽  
First Results

Interdecadal Variations in AGCM Simulation Skills

2006 ◽  
Vol 19 (14) ◽  
pp. 3406-3419 ◽  
Author(s):  
Alice M. Grimm ◽  
A. K. Sahai ◽  
Chester F. Ropelewski
Keyword(s):  
Climate Change ◽  
Climate Variability ◽  
Climate Models ◽  
Lower Boundary ◽  
Climate Prediction ◽  
Global Climate Models ◽  
Future Climate Change ◽  
Model Assessment ◽  
Seasonal Climate ◽  
Seasonal Climate Prediction

Abstract Global climate models forced by sea surface temperature are standard tools in seasonal climate prediction and in projection of future climate change caused by anthropogenic emissions of greenhouse gases. Assessing the ability of these models to reproduce observed atmospheric circulation given the lower boundary conditions, and thus its ability to predict climate, has been a recurrent concern. Several assessments have shown that the performance of models is seasonally dependent, but there has always been the assumption that, for a given season, the model skill is constant throughout the period being analyzed. Here, it is demonstrated that there are periods when these models perform well and periods when they do not capture observed climate variability. The variations of the model performance have temporal scales and spatial patterns consistent with decadal/interdecadal climate variability. These results suggest that there are unmodeled climate processes that affect seasonal climate prediction as well as scenarios of climate change, particularly regional climate change projections. The reliability of these scenarios may depend on the time slice of the model output being analyzed. Therefore, more comprehensive model assessment should include a verification of the long-term stability of their performance.

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