Article (Scientific journals)
Building a framework towards climate-smart agriculture in the Yangambi landscape, Democratic Republic of Congo (DRC)
Mangaza Nondo, Lisette; Sonwa, Denis Jean; Batsi, Germain et al.
2021In International Journal of Climate Change Strategies and Management, 13 (3), p. 320 - 338
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Keywords :
Climate change; Climate-smart agriculture; Congo Basin; DRC (Democratic Republic of the Congo); Farmers' perceptions; Yangambi; Global and Planetary Change; Geography, Planning and Development; Development; Management, Monitoring, Policy and Law
Abstract :
[en] Purpose: This paper aims to produce a framework for climate-smart agriculture (CSA) in the Yangambi landscape, Democratic Republic of the Congo (DRC). This would enable the authors to identify agricultural practices, assess vulnerability to climate change, identify options for improving agricultural systems from a climate change mitigation and adaptation perspective and finally provide climate-smart agricultural options. Design/methodology/approach: The study used household survey methods of data collection. The data were collected using a structured questionnaire survey by interviewing 250 farm households, subdivided using three axes of the Yangambi landscape. Fisher’s exact test was used to determine relationships between two or more variables. Findings: Results of the survey revealed that the vast majority (98%) of respondents perceived changes in temperature, rainfall and weather patterns. Reduction of crop yields and the emergence of new weed species and new crop pests are the main impacts on agricultural activities. Although 87.6% of respondents have no means of adaptation and resilience, some of them use crops rotation, fallow practice, fertilizers and bio-pesticides. A framework for CSA is proposed for the Yangambi landscape. Practical implications: Policies and strategies to promote CSA in the study area should take into account local farmers' perceptions of climate change and consider first the adequacy of CSA practices for the specific conditions of the target area before its promotion. This study is thus useful for many REDD+ initiatives that are currently being promoted in DRC and particularly in the Tshopo Province. Originality/value: This study is one of the first studies to focus on CSA in the Yangambi landscape, DRC. It assists the use of agriculture as a response to reducing deforestation while at the same time lowering agriculture’s carbon footprint and promoting a resilient and more productive farming system.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Mangaza Nondo, Lisette  ;  Université de Liège - ULiège > TERRA Research Centre ; UNIGOM - University of Goma > Faculty of Sciences and Technologies
Sonwa, Denis Jean;  Center for International Forestry Research (CIFOR), Yaoundé, Cameroon
Batsi, Germain;  Faculty of Renewable Natural Resources Management, University of Kisangani, Kisangani, Democratic Republic Congo
Ebuy, Jérôme;  Faculty of Renewable Natural Resources Management, University of Kisangani, Kisangani, Democratic Republic Congo
Kahindo, Jean-Marie;  Faculty of Sciences, University of Kisangani, Kisangani, Democratic Republic Congo
Language :
English
Title :
Building a framework towards climate-smart agriculture in the Yangambi landscape, Democratic Republic of Congo (DRC)
Publication date :
2021
Journal title :
International Journal of Climate Change Strategies and Management
ISSN :
1756-8692
eISSN :
1756-8706
Publisher :
Emerald Group Holdings Ltd.
Volume :
13
Issue :
3
Pages :
320 - 338
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
Funding: This research was funded by EU (Contrat FED/2016/381–145) and NORAD Grant agreement code No: NOR114.The authors would like to thank the European Union and the Centre for International Forestry Research (CIFOR) for funding, through the Training and Research in Tshopo (FORETS) project, this research carried out as part of master's degree work but also as part of the CIFOR Global Comparative Study for achieving REDD+ (GCS-REDD+) project funded by the Norwegian Agency for Development Cooperation (NORAD). The authors would also like to thank the R&SD (Resources and Synergies Development) design office for its support in logistics. The authors would like to thanks all farmers in the Yangambi landscape for their support during the data collection period.
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