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In recent years, land use (LU) and landscape structure in ecoregions around the world have been faced with enormous pressures, from rapid population growth to urban sprawl. A preliminary account of changes in land cover (LC) and landscape structure in the ecoregions of Ghana is missing from the academic and research literature. The study therefore provides a preliminary assessment of the changing LU and landscape structure in the ecoregions of Ghana, identifying the causes and assessing their impact on land-based resources, and on urban and agricultural development. LU/LC maps produced from 30 m resolution Landsat TM5 in 1990 and ETM+ + + in 2000 were classified into dominant land cover types (LCTs) and used to survey the changing landscape of Ghana. LC-change map preparation was done with change detection extension "Veränderung" (v3) in an ArcGIS 10.1 environment. At the class level, Patch Analyst version 5.1 was used to calculate land use (LU) statistics and to provide landscape metrics for LU maps extracted from the satellite imagery. The results showed that commonly observed LCCs in the ecoregions of Ghana include conversion of natural forest land to various forms of cultivated lands, settlements, and open land, particularly in closed and open forest and savannah woodland. The dominant LU types in the ecoregions of Ghana are arable lands, which increased by 6168.98 km 2 2 2 . Forest and plantation LCTs decreased in area and were replaced by agricultural land, forest garden, and open land. Afforestation rarely occurred except in the rainforests. The mean patch size (MPS), a measure of fragmentation, was generally reduced consistently from 1990 to 2000 in all the ecoregions. Similar results that indicated increased fragmentation were an increased number of patches (NumP) and the Shannon diversity index (SDI). Habitat shape complexity inferred from mean shape index (MSI) decreased in all ecore-gions except for rainforest and wet evergreen. The SDI and Shannon evenness index (SEI) showed that habitat diversity was highest in the coastal savannah and the deciduous forest ecoregions. The main drivers of changes in the LUs and landscape structure are demand for land and land-based natural resources to support competing livelihoods and developmental activities in the different ecoregions.

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In recent times, there has been increasing interest in the importance of agricultural soils as global carbon sinks, and the opportunity of enhancing the resilience of degraded agroecosystems – particularly in savannah regions of the world. However, this opportunity is largely a function of land use and/or land management choices, which differ between and within regions. In the present study, we investigated the role of agriculture land use and farm management practices on soil organic carbon (SOC) storage in the savannah regions of northern Ghana. We evaluated selected land use types by using an integrated approach, involving on-farm interviews, community transect walks, land use monitoring, and soil sampling. Our results indicated that, at the landscape level, community land use and resource needs are important determinants of SOC storage in farmlands. We determined low SOC accumulation across the investigated landscape; however, the relatively high SOC stock in protected lands compared with croplands implies the potential for increasing SOC build-up by using recommended management practices. Low incomes, constraints to fertilizer use, low biomass availability, and reductions in fallow periods remain as barriers to SOC buildup. In this context, global soil carbon storage potential and smallholder food production systems will benefit from an ecosystembased adaptation strategy that prioritizes building a portfolio of carbon stores at the landscape level.

Due to an oversight during the editorial process, the first author's name was incorrectly given as William Kojo Paul Yankson instead of Paul William Kojo Yankson in the initial online publication of this article. The original article has been corrected.

Faced with adversarial climatic and physical conditions and an inept socioeconomic development priorities, Northern Ghana remains one of the regions that are most vulnerable to climate-related shocks and disturbances in semi-arid Africa. Because of the effect of frequent floods, droughts, and bushfires, entire livelihoods in Ghana's predominantly smallholder agricultural population are under threat. In this paper, we present a model for community-based resilience assessment. This model was developed through an experiment conducted in selected rural communities in the Tolon and Wa West Districts in the Northern and Upper West Regions of Ghana. This experiment underpinned an ongoing five-year collaborative research project, Climate and Ecosystem Change Adaptation and Resilience Research in Semi-Arid Africa: AnIntegrated Approach (CECAR-Africa), and involved researchers and scientists from institutions in Ghana and Japan. Drawing on the findings from extensive literature review, field surveys, focus group discussions, unstructured interviews with various stakeholders, and participatory observations, we developed a matrix for assessing the different categories of community 1 United Nations University-Institute for the Advanced Study of Sustainability (UNU-IAS), Tokyo, Japan 2 University for Development Studies, Wa and Tamale, Ghana. 3 University of Ghana, Department of Geography and Resource Development, Legon, Accra, Ghana 4 United Nations University-Institute for Natural Resource in Africa (UNU-INRA), Accra, Ghana 5 Ghana Meteorological Agency, Accra, Ghana. 6 The University of Tokyo, Todai Institute for Advanced Study, Integrated Research System for Sustainability Science (IR3S), Tokyo, Japan. resilience (ecological, engineering, and socioeconomic). The outcome of this resilience matrix, herein called an "integrated" assessment model, offers a mix of factors that could improve societal reorganization when faced with shocks or disturbances. The integrated model provides a workable assessment criteria and key indicators for community level resilience assessments. This experiment proved valuable and highly effective in selecting case study communities for CECAR-Africa. The next step will involve the testing and development of similar criteria and indicators to measure household level resilience.