Climate Variability and Change Impact on Crop Production: Evidence from Ghana

This paper explores the impact of climate variability and/or change on two major crop yields (cassava and maize) and cash crop (cocoa) in two districts in different agroecological zones - Atwima Mponua (Semi-Deciduous Forest Zone) and Ejura-Sekyeredumase (Transition Zone) of the Ashanti Region of Ghana. A comparative-case mixed-methods research design was adopted for the study, involving household survey questionnaires, focus group discussions (FGDs) and in-depth interviews with key informants to discuss farmers’ perceptions about changes in climate and impact on crop yields. Three hundred participants were involved in the study - 150 from each district. The study also used time series panel data approach to analyse the impact of climate variables (mean annual maximum and minimum temperatures; and total rainfall) on the three crops over the period 1992 - 2014.Farmers perceived changes in the weather patterns - mainly increasing temperature and erratic and low rainfall. Besides, farmers had observed invasion of weeds; and dryness of aquatic habitats (especially, during dry periods); and loss of major staples. The findings from the analysis of secondary data corroborate farmers’ perceptions about changes in climate and its negative impacts on cassava and maize yields for the past 20-30 years. However, qualitative feedback about impact of climate variables on cocoa yield conflicted with the findings of analysis of secondary data. The findings from this study can form a basis for policy makers to develop region specific adaptation policies to address climate change impacts on crops studied and extend it to other crops. Keywords: Climate variability and change; Vulnerability; Food crop; Cash crop. DOI: 10.7176/JEES/12-12-03 Publication date: December 31st 202

Motivations behind farmers’ pesticide use in Bangladesh rice farming

This paper addresses the motivations behind farmers’ pesticide use in two regions of Bangladesh. The paper considers farmers’ knowledge of arthropods and their perceptions about pests and pest damage, and identifies why many farmers do not use recommended pest management practices. We propose that using the novel approach of classifying farmers according to their motivations and constraints rather than observed pesticide use can improve training approaches and increase farmers’ uptake and retention of more appropriate integrated pest management technologies

Proportion of protected areas with conservation activities between 1990 and 1999 across different African regions.

<p>The number of protected areas with available information on presence and absence of any conservation activity (research, tourism and law enforcement guards) over the considered period were in total 105.</p

Influence of tourism activities and PA size on threat level in 83 PAs.

<p>In bold are highlighted significant values (p <i><0.05</i>). See abbreviations in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0114154#pone-0114154-t002" target="_blank">Tab 2</a>. AIC, Akaike's Information Criterion; AICw, Akaike Information Criterion weight; Rank, model rank from the smallest to the largest AIC value; k, number of variables including the intercept.</p><p>Influence of tourism activities and PA size on threat level in 83 PAs.</p

Regional distribution of the protected areas (PAs) in tropical Africa considered in the analyses.

<p>The regions are coloured in different grey scale colours. Light grey represents West Africa, including 54 protected areas; medium grey represents Central Africa, including 31 protected areas; dark grey represents East Africa, including 14 protected areas. On the left-side bottom corner a MODIS NDVI image of Africa, with a red quadrant highlighting the tropical area considered in the study.</p