Abstract
Natural forests in Uganda have experienced both spatial and temporal modifications from different drivers which need to be monitored to assess the impacts of such changes on ecosystems and prevent related risks of reduction in ecosystem service benefits. Ground investigations may be complex because of dual ownership, whereas remote sensing techniques and GIS application enable a fast multi-temporal detection of changes in forest cover and offer a cost-effective option for inaccessible areas and their use to detect ecosystem service change. The overarching goal of this study was to use satellite measurements to study forest change and link it to ecosystem service benefit reduction (fresh water) in the study area using a representative sample of Landsat scenes, also testing whether the inclusion of ecosystem service benefits improves the classification. In this paper, an integrated approach of remotely derived indices was used together with post-classification comparison to detect forest cover and ecosystem service changes. Our contribution novelty is the ability to detect at multi-temporal scale private and central reserve forest cover decline along with ecosystem benefit reduction using remotely derived indices in the 20 year period (1986-2005). Change detection analysis showed that forest cover declined significantly in five sub-counties of Mpigi, than in Butambala by 5.99%, disturbed forest was 3%, farm land increased by 44%, grassland declined by 62.5% and light vegetation increased by63.6%. The two most affected areas also experienced fresh water reductions. For sustainable supply of ecosystem service benefits, resource managers must also involve private resource owners in the conservation effort. Keywords: Change detection, forest cover, ecosystem service, remotely sensed derived indices, central districts of Uganda
Highlights
Changes in natural resources as manifested in land-cover and land-use-change (LCLUC) is one of the most important components of global environmental change (Foley et al, 2005)
Results showed that areas with low Normalized Difference Water Index (NDWI) corresponded to the location of springs that dried or reduced in flow giving strong evidence that forest cover loss affect ecosystem services negatively implying accuracy in classification of land cover during the period
Our analysis of combined Normalized Difference Vegetation Index (NDVI) and NDWI revealed that using remotely sensed derived indices are powerful in monitoring ecosystem services change
Summary
Changes in natural resources as manifested in land-cover and land-use-change (LCLUC) is one of the most important components of global environmental change (Foley et al, 2005). The global concern in terms of climate change is related to changes in forests their ability to sequester atmospheric carbon, and the mitigation of climate change (FAO, 2010). Mitigation of climate change impacts on ecosystem services requires more attention and monitoring of forest cover changes. Forests provide crucial ecosystem services for human wellbeing among which is provisioning services such as fresh water and regulating services like water flow. The loss and degradation of natural forests is accompanied by decline in supply of many ecosystem service benefits used by riparian rural communities (Byron and Anold, 1999), in particular fresh water reduction. While global climate change has received scientific explanation, local climate change or forest cover loss with impact on ecosystem service benefits has not been given deserved attention and empirical testing (Williams et al, 2013; Coeet al., 2011; Brown et al, 2012)
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