Richard Asante

Mr. Richard Asante

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Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 August 2024 in Green and Low-Carbon Economy
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Journal Article
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JAJohn Tennyson Afele
John Tennyson Afele
OAOlivia Agbenyega
Olivia Agbenyega
VBVictor Rex Barnes
Victor Rex Barnes
SASteve Amisah
Steve Amisah
FPFinn Plauborg
Finn Plauborg
EDEvans Dawoe
Evans Dawoe
This study investigates the perceptions of cocoa farmers in Offinso and Adansi Districts, Ghana, regarding the impact of climate change on their yields, income, and food security. The findings aim to inform policy development and potential mitigation and adaptation strategies. A total of 282 cocoa farmers participated alongside Key Informants. The results indicate a strong consensus among farmers that climate change has negatively affected their yields (0.518 ± 0.501), increased pest and disease prevalence (0.518 ± 0.501), and contributed to cocoa tree mortality (0.482 ± 0.501). This perception is reinforced by the ranking of challenges, where poor yields and increased pest/disease emerged as the most prominent challenges (Relative Importance Index of 0.87 and 0.79, respectively). Interestingly, farmers' perceptions diverged regarding food security. They expressed neutrality towards statements suggesting a negative climate change impact on their food security status (Perception Index = 2.89). These findings highlight the critical challenge of reduced cocoa yield due to climate change for farmers. It is therefore recommended that the Ghana Cocoa Board (COCOBOD), through its extension division, implement immediate actions to educate farmers within the two districts on climate change mitigation strategies. This intervention aligns with achieving the Sustainable Development Goals 1 (No Poverty), 2 (Zero Hunger), and 13 (Climate Action). Received: 26 April 2024 | Revised: 18 June 2024 | Accepted: 6 August 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement John Tennyson Afele: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Data Curation, Writing - Original Draft, Writing - Review & Editing, Visualization. Olivia Agbenyega: Conceptualization, Methodology, Validation, Resources, Writing - Review & Editing, Supervision, Funding acquisition. Victor Rex Barnes: Conceptualization, Resources, Supervision, Project administration, Funding acquisition. Steve Amisah: Conceptualization, Project administration, Funding acquisition. Finn Plauborg: Writing - Review & Editing. Søren Marcus Pedersen: Writing - Review & Editing. Torsten Rødel Berg: Conceptualization. Joseph Anokye: Methodology, Data Curation. Stephen Yaw Opoku: Methodology, Data Curation. Richard Asante: Methodology, Data Curation. Eunice Nimo: Conceptualization, Data Curation, Writing - Review & Editing, Visualization. Evans Dawoe: Conceptualization, Supervision.

11 September 2024 in Applied Sciences
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Journal Article
Open access
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RARichard Asante
Richard Asante
SPSøren Marcus Pedersen
Søren Marcus Pedersen
TBTorsten Rodel Berg
Torsten Rodel Berg
OAOlivia Agbenyega
Olivia Agbenyega
SASteve Amisah
Steve Amisah
JAJoseph Anokye
Joseph Anokye
The application of the resilience concept within socioecological systems has recently received much attention. Assessing the characteristics of cocoa agroecosystems in the dry and moist semi-deciduous ecological zones has become critical for resilience analysis in this era of climate change and the constant shrinking of cocoa suitability areas. Previous studies have used one of the dimensions of resilience to analyse complex adaptive systems, excluding critical factors and variables. This study applied a multi-criteria decision-making process, the Analytic Hierarchy Process (AHP) that accommodates the three dimensions of resilience, i.e., buffer capacity, adaptive capacity and self-organisation. The AHP is a multi-criteria decision-making tool that proceeds with the design of a hierarchy system for the goal, criteria, attributes and variables. Selected cocoa farmers were assigned weights related to criteria, attributes and variables in a comparison matrix. The resilience of the cocoa agroecosystems in Offinso Municipal and Adansi North Districts was 2.75 ± 0.06 (mean ± SD) and 3.23 ± 0.10 (mean ± SD), respectively. Buffer capacity contributed the highest proportion (44.3%) in the Offinso Municipal District, followed by adaptive capacity (38.7%) and self-organisation (17%). A similar trend was recorded for the Adansi North District: buffer capacity (42.9%), adaptive capacity (42.9%) and self-organisation (14.3%). Across the two study areas, shade trees, crop diversification, soil quality, cocoa variety, farm size, farm age, alternative livelihood, annual income and co-operative membership contributed prominently to the construction of cocoa agroecosystem resilience. The assessment of agroecosystem resilience is location-specific, and the study provides a simplified methodology for evaluating resilience. The paper aims to understand the importance of the components of the cocoa agroecosystem, and a simplified methodology for evaluating its resilience to perturbations. It presents a conceptual and methodological framework for the analysis and measurement of agroecosystem resilience in a participatory manner.