Land Degradation Neutrality: Will Africa Achieve It? Institutional Solutions to Land Degradation and Restoration in Africa

Gnacadja, Luc; Wiese, Liesl

doi:10.1007/978-3-319-41238-2_5

Cited by 11 publications

(6 citation statements)

References 22 publications

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“…While all small-area archetypes are mostly dominated by the land-use management drivers, NGSAs 6 and 8 are the only small-area archetypes that are distinctly driven by the socio-economic drivers characterized by areas with low population density, i.e rural population with corresponding moderate information/knowledge access. Unlike other factors, poverty (high or low) is not a distinctive feature of these archetypes (Figure 5), hence this study cannot confirm the notion that 'the higher the poverty, the more the degradation' held by many studies of small-area degradation [38], as noted Table 1. Considering that poverty is widespread in the NGS, there is a need for integrating other social-demographic and social-relational data for a better understanding of the interactions between poverty and LD.…”

Section: Understanding the Archetypes Of Small-area Degradationcontrasting

confidence: 58%

“…Male and female literacy layers of high resolution at 1 km × 1 km gridded cells developed for 2003 in 2017, based on a geostatistics approach [37], were acquired [34]. These are necessary as they are proxies for access to agricultural extension information, as previous studies show that limited information on SLM drives LD [16,38]. The poverty headcount in percentages for Nigeria at 1 km for 2013 mapped through Bayesian model-based geostatistics analysis was downloaded from www.worldpop.org [34], because poverty can foster practices that cause LD, while LD can foster a poverty trap [38].…”

Section: Socio-economic Driversmentioning

confidence: 99%

“…These are necessary as they are proxies for access to agricultural extension information, as previous studies show that limited information on SLM drives LD [16,38]. The poverty headcount in percentages for Nigeria at 1 km for 2013 mapped through Bayesian model-based geostatistics analysis was downloaded from www.worldpop.org [34], because poverty can foster practices that cause LD, while LD can foster a poverty trap [38]. These drivers were selected in that they are known factors that influence decisions on land and SLM LD [28,29,38].…”

Section: Socio-economic Driversmentioning

confidence: 99%

“…Nearness to major roads is a measure of infrastructural development that influences accessibility and the spread of land-use management practices, including information [69]. Thus, NGSA 6 represents remote areas with restricted access, which can hamper the propagation of sustainable land-management initiatives [29,38,49]. As in NGSA 1 and NGSA 6, the very high livestock density configuration of NGSA 7 (Figure 5) is also associated with small-area degradation (Figure 7).…”

Section: Understanding the Archetypes Of Small-area Degradationmentioning

confidence: 99%

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Social-Ecological Archetypes of Land Degradation in the Nigerian Guinea Savannah: Insights for Sustainable Land Management

Adenle

Speranza

2020

Remote Sensing

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The Nigerian Guinea Savannah is the most extensive ecoregion in Nigeria, a major food production area, and contains many biodiversity protection areas. However, there is limited understanding of the social-ecological features of its degraded lands and potential insights for sustainable land management and governance. To fill this gap, the self-organizing map method was applied to identify the archetypes of both proximal and underlying drivers of land degradation in this region. Using 12 freely available spatial datasets of drivers of land degradation—4 environmental; 3 socio-economic; and 5 land-use management practices, the identified archetypes were intersected with the Moderate-Resolution Imaging Spectroradiometer (MODIS)-derived land-degradation status of the region, and the state administrative boundaries. Nine archetypes were identified. Archetypes are dominated by: (1) protected areas; (2) very high-density population; (3) moderately high information/knowledge access; (4) low literacy levels and moderate–high poverty levels; (5) rural remoteness; (6) remoteness from a major road; (7) very high livestock density; (8) moderate poverty level and nearly level terrain; and (9) very rugged terrain and remote from a major road. Four archetypes characterized by very high-density population, moderate–high information/knowledge access, and moderate–high poverty level, as well as remoteness from a major town, were associated with 61.3% large-area degradation; and the other five archetypes, covering 38.7% of the area, were responsible for small-area degradation. While different combinations of archetypes exist in all the states, the five states of Niger (40.5%), Oyo (29.6%), Kwara (24.4%), Nassarawa (18.6%), and Ekiti (17.6%), have the largest shares of the archetypes. To deal with these archetypical features, policies and practices that address increasing population in combination with poverty reduction; and that create awareness about land degradation and promote sustainable practices and various forms of land restoration, such as tree planting, are necessary for progressing towards land-degradation neutrality in the Nigerian Guinea Savannah.

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Section: Understanding the Archetypes Of Small-area Degradationcontrasting

confidence: 58%

Section: Socio-economic Driversmentioning

confidence: 99%

Section: Socio-economic Driversmentioning

confidence: 99%

Section: Understanding the Archetypes Of Small-area Degradationmentioning

confidence: 99%

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Social-Ecological Archetypes of Land Degradation in the Nigerian Guinea Savannah: Insights for Sustainable Land Management

Adenle

Speranza

2020

Remote Sensing

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“…However, the rate at which tropical deforestation and forest degradation are taking place poses a major challenge toward meeting the LDN targets, calling for more commitments and actions to reverse the same. An overview by Gnacadja and Wiese (2016) establishes that Sub-Saharan Africa is one of the potential areas for restoration to meet the global LDN targets with over 60% of the global uncultivated land and a third of degraded lands. However, issues related to policy gaps, inadequate institutional framework, and insufficient coordination from international to national levels are cited as significant gaps toward the effective meeting of the set LDN targets.…”

Section: Kyoto Protocol and The Clean Development Mechanism Of Kyoto Protocolmentioning

confidence: 99%

A Review of Global Policy Mechanisms Designed for Tropical Forests Conservation and Climate Risks Management

Muthee¹,

Duguma²,

Wainaina³

et al. 2022

Front. For. Glob. Change

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Deforestation and forest degradation of tropical forests are major global concerns due to their ecological, social, and economic roles. In the wake of climate change and its diverse global effects, fragmentation and degradation of tropical forests have jeopardized their ability to support livelihoods and regenerate climate regulating services. Concerted efforts by local, national, and international players, which are primarily scientific, technological, or economic, have borne minimal results in safeguarding these forests from destruction, necessitating a more integrated and inclusive approach. The Rio Earth Summit (1992) brought together world leaders to set targets and priorities on the global sustainability agenda and laid a strong foundation for international policy cooperation in the future. This study employed a systematic review of articles published between 1992 and 2020 to establish how various policy mechanisms have been developed and evolved to bridge forests and climate change discourse in tropical forests while highlighting their strengths and weaknesses. The initial search of peer-reviewed publications and gray literature yielded 2622 records, which were subjected to inclusion and exclusion criteria based on The Preferred Reporting Items for Systematic Review and Meta Analyses guidelines, resulting in a final list of 65 records for in-depth qualitative analysis. The study establishes that the mechanisms in place have contributed mainly to more coordination and incentives to manage climate risks, primarily through tropical forests conservation. However, hurdles such as inadequate participation and involvement of the local and indigenous people, insufficient national and local policy frameworks and bureaucracies around emissions monitoring, measuring, reporting, and verification processes continue to slow tropical forest conservation. Thus, there is a need for more integrated, multilevel, and diverse stakeholder engagement to achieve the set global targets effectively.

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Traditional Land Use Systems’ Potential as the Framework for Soil Organic Carbon Plans and Policies

Akça¹,

Nagano²,

Kitamura³

et al. 2022

Plans and Policies for Soil Organic Carbon Management in Agriculture

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Land Degradation Neutrality: Will Africa Achieve It? Institutional Solutions to Land Degradation and Restoration in Africa

Cited by 11 publications

References 22 publications

Social-Ecological Archetypes of Land Degradation in the Nigerian Guinea Savannah: Insights for Sustainable Land Management

Social-Ecological Archetypes of Land Degradation in the Nigerian Guinea Savannah: Insights for Sustainable Land Management

A Review of Global Policy Mechanisms Designed for Tropical Forests Conservation and Climate Risks Management

Traditional Land Use Systems’ Potential as the Framework for Soil Organic Carbon Plans and Policies

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