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Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System

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dc.contributor.author Cui, X.
dc.contributor.author Gibbes, C.
dc.contributor.author Southworth, J.
dc.contributor.author Waylen, P.
dc.date.accessioned 2013-10-24T14:18:25Z
dc.date.available 2013-10-24T14:18:25Z
dc.date.issued 2013-04
dc.identifier.issn 2073-445X
dc.identifier.other doi:10.3390/land2020108
dc.identifier.uri http://www.taccire.sua.ac.tz/handle/123456789/212
dc.description.abstract This research extends upon land cover change studies by incorporating methodological approaches, which are compatible with heterogeneous ecosystems, are able to link landscape changes to system processes, such as climate change, and provide potential linkages to concepts of ecological resilience. The study region in southern Africa experienced a significant climatic shift in the 1970s, resulting in drier conditions. The state of these ecosystems and their response to such climatic shock is quantified in terms of vegetation amount and heterogeneity. We monitor these characteristics pre- and post-disturbance using a Landsat image series and examine the utility of continuous characterizations of land cover for measuring ecosystem resilience. Land cover change is evaluated using a mean-variance analysis in concert with a spatial persistence analysis. This investigation indicates that although the impact of the decreased precipitation is evident in the 1980s, recovery occurred by the 1990s and 2000s. We found the continuous methodological approach used holds potential for studying heterogeneous landscapes within a resilience framework. en_GB
dc.description.sponsorship NASA LCLUC Project en_GB
dc.language.iso en en_GB
dc.publisher MDPI, Basel, Switzerland en_GB
dc.relation.ispartofseries Land 2013;2, 108-130
dc.subject Vegetation en_GB
dc.subject Vegetation cover en_GB
dc.subject Climate change en_GB
dc.subject Land cover en_GB
dc.subject Resilience en_GB
dc.subject Land use en_GB
dc.subject Ecological resilience en_GB
dc.subject Climate variability en_GB
dc.subject Remote sensing en_GB
dc.subject Semi-arid en_GB
dc.title Using Remote Sensing to Quantify Vegetation Change and Ecological Resilience in a Semi-Arid System en_GB
dc.type Article en_GB

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