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Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria / ADETOUN AFOLABI

Swansea University Author: ADETOUN AFOLABI

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Abstract

To address the issue of climate change, the United Nations Framework Convention on Climate Change introduced REDD+ “Reducing Emissions from Deforestation and Forest Degradation”. Nigeria has lost 90% of its natural forest. The Cross River State has the largest proportion of the remaining tropical fo...

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Published: Swansea 2022
Institution: Swansea University
Degree level: Master of Research
Degree name: MSc by Research
Supervisor: Robertson, Iain ; Sun, Yeran
URI: https://cronfa.swan.ac.uk/Record/cronfa62698
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spelling 2023-02-20T16:58:29.2267594 v2 62698 2023-02-20 Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria 05e7f27d19cb6c3c59156062bafeddfe ADETOUN AFOLABI ADETOUN AFOLABI true false 2023-02-20 To address the issue of climate change, the United Nations Framework Convention on Climate Change introduced REDD+ “Reducing Emissions from Deforestation and Forest Degradation”. Nigeria has lost 90% of its natural forest. The Cross River State has the largest proportion of the remaining tropical forests. In 2010, Nigeria joined the UN-REDD scheme to contribute to global climate change mitigation. Accordingly, the CRS became Nigeria's first REDD+ pilot state. Logging was therefore prohibited. A mixed-methods approach was used in this study to assess the impact of REDD+ in CRS. It involved key informant interviews, questionnaires, and remote sensing data. Sampling was done using a purposive and snowball approach. Autoregressive integrated moving average analysis was used to develop a model to predict the post-intervention period dependent on time. A simple linear regression of the residual values of the Normalized Difference Vegetation Index was used to determine the impact of the REDD+ program on the forest cover. The results indicate a slight positive impact. Time accounted for a 3.5% variation in vegetation cover of Akamkpa and Boki Local Government Areas after ten years of REDD+. However, more variables could be added to improve the model and identify the major drivers explaining variations in vegetation gain. A parametric t-test was also conducted, and the result was significant at (p<0.05) when compared to the ordinary least squares regression. Agriculture was the main economic activity in the study area. Furthermore, many respondents preferred agricultural skills\training and 67% desired more land for farming. This can have a detrimental effect on the CRS forest resources. The study proposes that future conservation efforts should consider forest community capacity-building preference before project commencement. Moreover, smallholder farmers should be empowered and trained to maximize yields on existing agricultural lands. Information, education, and communication materials should be made in local languages to raise awareness about REDD+, climate change, and forest conservation in Nigeria. E-Thesis Swansea Remote sensing, Vegetation cover, Benefit-sharing, Livelihood, Forest communities 25 11 2022 2022-11-25 COLLEGE NANME COLLEGE CODE Swansea University Robertson, Iain ; Sun, Yeran Master of Research MSc by Research 2023-02-20T16:58:29.2267594 2023-02-20T16:41:41.1331747 College of Science Geography ADETOUN AFOLABI 1 62698__26634__f88aed449d0647f5b35c8868a52fba86.pdf Afolabi_Adetoun_MSc_Research_Thesis_Final_Redacted_Signature_Redacted.pdf 2023-02-20T16:57:40.7583207 Output 4242685 application/pdf E-Thesis – open access true Copyright: The author, Adetoun Afolabi, 2022. true eng
title Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
spellingShingle Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
ADETOUN AFOLABI
title_short Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
title_full Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
title_fullStr Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
title_full_unstemmed Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
title_sort Beyond Forest Conservation: Exploring the Impact of REDD+ on Livelihood and Detection of Forest Cover Change in Cross River State, Nigeria
author_id_str_mv 05e7f27d19cb6c3c59156062bafeddfe
author_id_fullname_str_mv 05e7f27d19cb6c3c59156062bafeddfe_***_ADETOUN AFOLABI
author ADETOUN AFOLABI
author2 ADETOUN AFOLABI
format E-Thesis
publishDate 2022
institution Swansea University
college_str College of Science
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hierarchy_top_id collegeofscience
hierarchy_top_title College of Science
hierarchy_parent_id collegeofscience
hierarchy_parent_title College of Science
department_str Geography{{{_:::_}}}College of Science{{{_:::_}}}Geography
document_store_str 1
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description To address the issue of climate change, the United Nations Framework Convention on Climate Change introduced REDD+ “Reducing Emissions from Deforestation and Forest Degradation”. Nigeria has lost 90% of its natural forest. The Cross River State has the largest proportion of the remaining tropical forests. In 2010, Nigeria joined the UN-REDD scheme to contribute to global climate change mitigation. Accordingly, the CRS became Nigeria's first REDD+ pilot state. Logging was therefore prohibited. A mixed-methods approach was used in this study to assess the impact of REDD+ in CRS. It involved key informant interviews, questionnaires, and remote sensing data. Sampling was done using a purposive and snowball approach. Autoregressive integrated moving average analysis was used to develop a model to predict the post-intervention period dependent on time. A simple linear regression of the residual values of the Normalized Difference Vegetation Index was used to determine the impact of the REDD+ program on the forest cover. The results indicate a slight positive impact. Time accounted for a 3.5% variation in vegetation cover of Akamkpa and Boki Local Government Areas after ten years of REDD+. However, more variables could be added to improve the model and identify the major drivers explaining variations in vegetation gain. A parametric t-test was also conducted, and the result was significant at (p<0.05) when compared to the ordinary least squares regression. Agriculture was the main economic activity in the study area. Furthermore, many respondents preferred agricultural skills\training and 67% desired more land for farming. This can have a detrimental effect on the CRS forest resources. The study proposes that future conservation efforts should consider forest community capacity-building preference before project commencement. Moreover, smallholder farmers should be empowered and trained to maximize yields on existing agricultural lands. Information, education, and communication materials should be made in local languages to raise awareness about REDD+, climate change, and forest conservation in Nigeria.
published_date 2022-11-25T04:22:31Z
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score 11.012678

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