Search

Forest conversion for farming remains an issue of scientific and societal concern due to its growing impacts on biodiversity and climate change. Therefore, scientists and policymakers emphasise the urgent need to find a balance between forest conservation and agriculture. Meanwhile, across tropical Africa, subsistence farmers account for nearly two-thirds of forest conversion to farms annually. These farmers' perceptions and experiences about forest conversion may offer alternative perspectives about the problem and how to tackle it. However, such viewpoints remain scanty in the sustainable forestry literature. This paper employs narrative policy analysis to disentangle the stories that underpin farming by forest-fringe communities (FFCs) in protected forests. The FFCs' narratives were identified through fieldwork in 12 forest communities of Southwestern Ghana and juxtaposed with forest regulators and cocoa sector actors' narrativization of forest conversion in Ghana. The results indicate that a combination of factors incite FFCs to farm in protected forests, but the perceived need to respond to food insecurity is the most crucial factor. In the absence of strong grassroots organisations, FFCs cannot convey this crucial need to the forest policy arena, leaving it largely unaddressed in forest policy. Thus, forest encroachment has become a tool for FFCs to resist forest conservation, and generally, as a means for their survival. The paper proposes food security corridors (FSCs) as an integrated landscape management option that can enable FFCs and other policy actors to negotiate and institute food security and conservation goalswithin communities trapped in blocks of forest reserves. The potential FSCs hold to overcome forest conversion for subsistence farming can be unleashed when governments, development partners invest to refine and pilot the concept. Overall, the paper contributes to the land-use conflict literature, showing how context-specific food insecurity can accelerate deforestation. Forestry sector actors need to guard against oversimplifying their assumptions about forest conversion in order to find pragmatic and sustainable solutions to the problem. • Smallholder farmers account for about 65% of forest conversion to farmlands in tropical Africa. • The experiences of these farmers have often been neglected in forest policy formulation. • Disentangling the farmers' narratives show food insecurity is most crucial reason why they farm in protected forests. • Food security corridors offer an opportunity to produce food permanently in forest-fringe communities. • Governments and development agencies need to invest to refine and pilot FSCs in communites trapped by protected forests. [ABSTRACT FROM AUTHOR]

Tropical deforestation is a serious environmental and economic problem that has become a global issue due to climate change and biodiversity loss. Reducing tropical deforestation is seen as national and international priority, given its impacts on carbon emissions, biodiversity and rural livelihoods. Some developing countries have achieved a forest transition: a shift from net deforestation to net reforestation, whereby a few generic pathways have been identified. Such pathways usually depend on the social, economic, ecological and political contexts of a country. A better understanding of trends related to the pathways at the country level is necessary to identify which factors drive forest transition. This paper analyzes forest resources development trends in Ghana by focusing on forest transition pathways and discussing the implications for a forest transition in the country. The analysis indicates that there is currently no strong force toward a forest transition through any of the generic pathways. Existing trends are either too small-scale or too ineffective. To accelerate a forest transition in Ghana, policy and management options should target measures that reduce current degradation of closed natural forests, increase the area and productivity of commercial forest plantations, promote sustainable forest management, and support and encourage forest conservation and integration of trees into farming systems. [ABSTRACT FROM AUTHOR]

The ecological, economic and socio-cultural roles of forests are under threat in Ghana due to the high rate of deforestation. Efforts are being made to combat this problem through rehabilitation measures. However, the costs of deforestation and restoration benefits are not adequately estimated. This paper fills in the gap in knowledge by providing an empirical estimation of the cost of deforestation in monetary terms. Primary data collected regarding timber, non-timber forest products and soils in semi-deciduous forests were analyzed using opportunity cost and replacement cost techniques. The results emphasize differences in the value of these forest goods and services lost annually. The largest losses were in stumpage fees, edible fruits, and avoided carbon emissions values. The results show that US$133,650,000 gross revenue, equivalent to 2.6% of the 2008 agricultural sector Gross Domestic Product, is lost annually. It can be concluded that restoring the degraded forest lands would bring benefits particularly to the local communities through increased stumpage revenues and harvest of non-timber forest products, as well as additional funds from carbon credits. It is recommended that stakeholders of forest resources are made aware of these costs in order to raise awareness of what they are losing through deforestation. [Copyright &y& Elsevier]

The paper analyses land use trajectories in savannah woodlands in the Central-West Region, Burkina Faso and the Upper East Region in northern Ghana by use of satellite images and historical archives. Observed trends differ in terms of spatial location and correlation with population pressure from normally accepted characterizations. Colonial forestry policies are proposed as key determinants of present-day land use patterns. However, these reinforced pre-colonial land use patterns inasmuch as land gazetted as forest reserves were tracts affected by vectors of human and livestock disease. It is suggested that the transformation of wooded agricultural landscapes in the Sudano-Sahelian region is the outcome of historically and culturally embedded interactions between complex social, economic and ecological processes which operate at widely varying scales and which change over time; the implications hereof for modelling of global environmental issues is discussed. [Copyright &y& Elsevier]

Artisanal Small-scale Mining (ASM) is a critical source of livelihoods for large areas of the Global South but it can bring with it many problems, including deforestation, water pollution and low worker safety. Timely and comprehensive management of ASM is crucial to ensure that it can take place safely and cleanly, supporting sustainable development. The informal nature of the sector presents challenges related to documenting the locations of ASM. Remote sensing methods have been used to detect ASM, although difficulties with accuracy, resolution and persistent cloud cover have been encountered. This paper proposes a method of ASM detection using a deep convolutional neural network model applied to open source Sentinel-2 multispectral satellite imagery. Firstly, the model is evaluated against both existing ASM detection methods and visual inspection of randomly sampled points. Secondly, the model is used to map mining and urban land use changes over a dataset spanning four years and 6 million hectares of southern Ghana, demonstrating the ability of this method to process very large areas. The omission and commission errors of less than 8% from the sampled points indicate that this model has achieved unprecedented levels of accuracy for the task of detecting ASM from satellite imagery. When applied to the case study area, the data on ASM trends over time demonstrate a correlation between the Ghanaian government's 2017 clampdown and ASM activities. The ASM land use category decreased by 6000 ha in 2017, despite a net increase of 15000 ha over the period 2015–2019. Additionally, the model was applied to quantify the extent of illegal mining related deforestation within Ghana's protected forests, measured at over 3500 ha, with 2400 of these lost since 2015. The results demonstrate that this methodology can detect ASM in Ghana with a high degree of accuracy at a minimal cost in terms of financial and human resources. The model shows strong generalisation abilities, offering exciting potential for using this methodology to further monitor and analyse ASM related land use changes worldwide. Unlabelled Image • Multispectral U-Net convolutional neural network to detect artisanal scale mining. • Uses open source Sentinel-2 MSI imagery. • Significant accuracy improvements over traditional machine learning methods. • Mining related deforestation increased by 15,000 ha over the study period. • Potential for low-cost monitoring system to process mining land use changes. [ABSTRACT FROM AUTHOR]