Local Spatialized Knowledge of Threats to Forest Conservation in Ghana's High Forest Zone.

Although deforestation rates are declining, protected forest areas remain under threat. While the importance of spatialized ('mapped') community knowledge for conservation planning is acknowledged in scientific literature, the integration of such knowledge in forest governance and conservation planning remains scarce, particularly in Ghana. This paper aims to make clear how participatory spatial knowledge tools and geographic information systems can be used to assess the threats to forest conservation in Ghana's high forest zone. The results show that holders of spatial community-embedded knowledge not only sketch-mapped the location and spatial distribution of the threats to forest conservation in the forest reserves, but also provided information on the actors they perceived to be causing such threats. Such information is not available in forest inventories conducted by the responsible government agencies, but is needed to focus conservation strategies and make them more effective. Maps with the anticipated condition of the forest in 10 years' time furthermore provided insights which can help governance actors to deal with the underlying drivers of forest degradation. This suggests that local spatialized knowledge needs to be integrated into the institutional arrangements for the governance of forested landscapes, and that such governance cannot be effective without the inclusion of local people's knowledge. Due consideration is however to be given to the conditions that ensure that spatialized knowledge production and its use in landscape management decision-making occurs in an inclusive manner.

Envisioning the Future of Mosaic Landscapes: Actor Perceptions in a Mixed Cocoa/Oil-Palm Area in Ghana.

The future and benefits of mosaic landscapes have been a source of scientific and societal concern due to increasing population growth, climate change, urbanization, and expanding agricultural commodities. There is a growing call for integrated landscape approaches in which landscape actors discuss trade-offs between different land uses with a view to reaching a negotiated decision on the allocation of land uses. Yet, the operationalization of such approaches is still in its infancy, and integrated methodologies to visualize actors' landscape visions are still scarce. This study therefore presents a participatory spatial scenario-building methodology that uncovers local perceptions of landscape dynamics and needed actions in a mixed cocoa-oil-palm landscape in Ghana's Eastern Region. The methodology visualizes landscape actors' perceived plausible changes and desired future landscapes, and is designed to trigger discussions on actions needed to achieve these desired futures. Findings show that farmers and institutional actors are aware of their landscapes with future preferences coming close to actual landscape composition and spatial configuration, and that-contrary to common assumptions-only those in the oil-palm-dominated landscape who already experienced the drawbacks of increasing landscape homogenization desire a mosaic landscape. The paper concludes that the collective mapping process makes actors aware of challenges at landscape level and increases farmers' negotiation power through active engagement in the process and visualization of their knowledge and visions. Application of the methodology requires dedicated funding, political will, and capacity to apply it as an ongoing process, as well as monitoring feedback loops.

Effects of Tree-crop Farming on Land-cover Transitions in a Mosaic Landscape in the Eastern Region of Ghana.

Tree crops such as cocoa and oil palm are important to smallholders' livelihoods and national economies of tropical producer countries. Governments seek to expand tree-crop acreages and improve yields. Existing literature has analyzed socioeconomic and environmental effects of tree-crop expansion, but its spatial effects on the landscape are yet to be explored. This study aims to assess the effects of tree-crop farming on the composition and the extent of land-cover transitions in a mixed cocoa/oil palm landscape in Ghana. Land-cover maps of 1986 and 2015 produced through ISODATA, and maximum likelihood classification were validated with field reference, Google Earth data, and key respondent interviews. Post-classification change detection was conducted and the transition matrix analyzed using intensity analysis. Cocoa and oil palm areas have increased in extent by 8.9% and 11.2%, respectively, mainly at the expense of food-crop land and forest. The intensity of forest loss to both tree crops is at a lower intensity than the loss of food-crop land. There were transitions between cocoa and oil palm, but the gains in oil palm outweigh those of cocoa. Cocoa and oil palm have increased in area and dominance. The main cover types converted to tree-crop areas are food-crop land and off-reserve forest. This is beginning to have serious implications for food security and livelihood options that depend on ecosystem services provided by the mosaic landscape. Tree-crop policies should take account of the geographical distribution of tree-commodity production at landscape level and its implications for food production and ecosystems services.