Carbon-based forest conservation requires the establishment of âreference emission levelsâ against which to measure a country or region's progress in reducing their carbon emissions. In East Africa, landscape-scale estimates of carbon fluxes are uncertain and factors such as deforestation poorly resolved due to a lack of data.
Processes of deforestation, known to threaten tropical forest biodiversity, have not yet been studied sufficiently in East Africa. To shed light on the patterns and causes of human influences on protected forest ecosystems, comparisons of different study areas regarding land cover dynamics and potential drivers are needed. We analyze the development of land cover since the early 1970s for three protected East African rainforests and their surrounding farmlands and assess the relationship between the observed changes in the context of the protection status of the forests.
Fresh water provisioning is a crucial ecosystem service (ES) in the agrarian societies of East Africa. Water resources are highly dependent on several other ES such as the water retention capacity of vegetation and the purification properties of soil. However, ES are constantly challenged by dynamic changes within water–land–vegetation–human relations. Environmental policies usually address immediate anthropic pressures but overlook multiple historical stressors, or ‘drivers’.
RothC and Century are two of the most widely used soil organic matter (SOM) models. However there are few examples of specific parameterisation of these models for environmental conditions in East Africa. The aim of this study was therefore, to evaluate the ability of RothC and the Century to estimate changes in soil organic carbon (SOC) resulting from varying land use/management practices for the climate and soil conditions found in Kenya.
The FAO land-cover classification system (LCCS) represents an innovative approach to standardizing and harmonizing land-cover classifications based on remote sensing data. The thematic information considered by the LCCS, however, is intrinsically related to vegetation physiognomy and does not report important eco-climatic features. Our aim is to develop a methodology to enrich LCCS maps with information on vegetation productivity and phenology derived from Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) data.
As the losses of tropical forests have accumulated over the past three decades, largely deforested areas have increased in extent in the tropics, and observers have begun to ask questions about the circumstances under which tropical forests reemerge in deforested areas. This article addresses these questions through a meta-analysis of 63 case studies of tropical forest cover change that report net regrowth in forests. Regrowth tends to occur in largely deforested highlands.
Despite the 2005 Comprehensive Peace Agreement, which brought to an end 20 years of civil warin the Sudan, this country continues to experience smaller-scale conflicts, particularly aroundaccess to and control of natural resources. Some observers lay the blame for this onethnopolitical or tribal divisions.
This work presents a new four-tier hierarchical change-point algorithm designed to detect land-cover change from satellite data. We tested the algorithm using Global Inventory Modelling and Mapping Studies (GIMMS) data for eastern Africa. Using a unique sequence of four statistical change-point detection methods, we identified significant increases or decreases in normalized difference vegetation index (NDVI), estimated the approximate time of change, and characterized the likely forms of change (i.e. linear trend, abrupt mean and/or variability change, and hockey-stick shaped change).
The three East African (EA) countries Tanzania, Kenya and Uganda have a population of about 95 million people and Gross Domestic Product (GDP) of USD 34.2 billion. In recent years efforts has been made among the three East African countries, towards forging economic and regional co-operation by establishing the East African Community (EAC). The premise for economic and regional co-operation has been underpinned for the need for a common market and boost regional trade.
Geographic information systems and remote sensing technologies have become an important tool for visualizing conservation management and developing solutions to problems associated with conservation. When multiple organizations separately develop spatial data representations of protected areas, implicit error arises due to variation between data sets.