Tracing forest resource development in Ghana through forest transition pathways

Oduro, Kwame Antwi; Mohren, Frits; Peña-Claros, Marielos; Kyereh, Boateng; Arts, B.J.M.

doi:10.1016/j.landusepol.2015.05.020

Cited by 41 publications

(25 citation statements)

References 24 publications

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“…However, the extent to which agricultural expansion and other factors cause deforestation in Ghana has not been spatially established. Most research have been focusing on reporting the trends in deforestation in Ghana but failing to report on the factors contributing to the forest cover loss especially agriculture (Alo & Pontius Jr, 2008;Oduro et al, 2015). Some researchers have reported the causes of deforestation from the views of community members but no spatial analyses have been performed to assess the dominance of the causative agents (Damnyag et al, 2012;Damnyag et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Road improvement enhances smallholder productivity and reduces forest encroachment in Ghana

Acheampong

Sayer

Macgregor

2018

Environmental Science & Policy

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Section: Introductionmentioning

confidence: 99%

Road improvement enhances smallholder productivity and reduces forest encroachment in Ghana

Acheampong

Sayer

Macgregor

2018

Environmental Science & Policy

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“…Various approaches have been reported to explain landscape transitions, ranging from describing parallel phenomena to cause-effect relationships, from linear to multi-sectoral explanations. In many cases, straightforward sectoral approaches have successfully been used so far, such as for forests (Oduro et al 2015) or farmland (Van Doorn and Bakker 2007). Paying tribute to the complexity of the land system, Wilson (2007) proposes a multidisciplinary approach to explain agricultural landscape transitions.…”

Section: Landscape Transitions and Drivers Of Changementioning

confidence: 99%

The impact of European landscape transitions on the provision of landscape services: an explorative study using six cases of rural land change

et al. 2018

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Context The reasons for recent landscape change in the European countryside are complex and poorly substantiated. Identification of drivers of landscape transition and assessment of the effects on the provision of landscape services are subject of recent debate. Objectives Aims of the paper are to explore what implications rural landscape transitions (as identified by land use and land cover changes) have for the provision of landscape services, and whether these changes can be related to specific drivers of change. Methods The paper records gross landscape change on the basis of land use and land cover changes in six case study areas in five countries, and assesses the impacts on the provision of landscape services in the past 25 years. Results In the past decades the observed land use and land cover changes in the case studies are relatively small, with a dominance of urbanisation and afforestation processes. However, the impacts of these changes are clearly reflected in a change in landscape services. Conclusions Although the landscape transitions do affect the services, spatial data alone is insufficient to Electronic supplementary material The online version of this article (

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“…To implement REDD+, many graphs have been prepared by applying forest transition hypothesis [7,[30][31][32][33][34]. Usually, four stages are shown.…”

Section: Stages Of Forest Transition Curvesmentioning

confidence: 99%

Approximating Forest Resource Dynamics in Peninsular Malaysia Using Parametric and Nonparametric Models, and Its Implications for Establishing Forest Reference (Emission) Levels under REDD+

Michinaka

2018

Land

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Forest reference (emission) levels (FREL/FRLs) are baselines for REDD+, and 34 countries have submitted their FREL/FRLs to UNFCCC by January 2018. Most of them used simple historical average without considering the stages of forest transition. This research suggested that the period of calculating FREL/FRLs of simple historical average should be properly chosen if these countries are occupying multiple stages or sub-stages of forest transition. Moreover, as a case study, this research applied both parametric and nonparametric models to approximate forest area dynamics with regard to per capita GDP in Peninsular Malaysia from 1971 to 2016. This research found that, in the case of Peninsular Malaysia, among the parametric models, the biexponential model outperformed the other growth models, while two of the nonparametric models i.e. Friedman local averaging and Nadaraya-Watson kernel smoothing models are the best among all the models on the basis of their RSS, RMSE, and MAE indices. Based on the results of our leave-last-five-out CV, however, the research found that the biexponential and Nadaraya-Watson kernel smoothing models performed best, although the performance of the other two nonparametric models remains unknown. Nonparametric model results indicated that Peninsular Malaysia experienced four sub-stages since 1971 and each sub-stage had different linear trends, yet it still did not reach the turning point of forest transition. This research also found that a linear projection using historical deforestation data when the per capita GDP level reached US$8000 was appropriate for setting FREL/FRLs.

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Tracing forest resource development in Ghana through forest transition pathways

Cited by 41 publications

References 24 publications

Road improvement enhances smallholder productivity and reduces forest encroachment in Ghana

Road improvement enhances smallholder productivity and reduces forest encroachment in Ghana

The impact of European landscape transitions on the provision of landscape services: an explorative study using six cases of rural land change

Approximating Forest Resource Dynamics in Peninsular Malaysia Using Parametric and Nonparametric Models, and Its Implications for Establishing Forest Reference (Emission) Levels under REDD+

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