Drought Dynamics and Vegetation Productivity in Different Land Management Systems of Eastern Cape, South Africa—A Remote Sensing Perspective

• Published in: Sustainability 2017-09, Vol.9 (10), p.1728
• Main Authors: Graw, Valerie, Ghazaryan, Gohar, Dall, Karen, Delgado Gómez, Andoni, Abdel-Hamid, Ayman, Jordaan, Andries, Piroska, Ruben, Post, Joachim, Szarzynski, Jörg, Walz, Yvonne, Dubovyk, Olena
• Format: Article
• Language: English
• Subjects: Agricultural land; Correlation coefficients; Drought; Environmental hazards; Farming; Grasslands; Hydrologic data; Impact analysis; Land degradation; Land management; Land tenure; Land use; Land use planning; MODIS; Precipitation; Productivity; Rain; Rainfall; Remote sensing; Subsistence agriculture; Sustainability; Trends; Vegetation
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su9101728

Eastern Cape Province in South Africa has experienced extreme drought events during the last decade. In South Africa, different land management systems exist belonging to two different land tenure classes: commercial large scale farming and communal small-scale subsistence farming. Communal lands are often reported to be affected by land degradation and drought events among others considered as trigger for this process. Against this background, we analyzed vegetation response to drought in different land management and land tenure systems through assessing vegetation productivity trends and monitoring the intensity, frequency and distribution of the drought hazard in grasslands and communal and commercial croplands during drought and non-drought conditions. For the observation period 2000-2016, we used time series of 250 m Vegetation Condition Index (VCI) based on the Moderate Resolution Imaging Spectroradiometer (MODIS) Enhanced Vegetation Index (EVI) and Climate Hazard Group InfraRed Precipitation with Station data (CHIRPS) precipitation data with 5 km resolution. For the assessment of vegetation dynamics, we: (1) analyzed vegetation productivity in Eastern Cape over the last 16 years with EVI; (2) analyzed the impact of drought events on vegetation productivity in grasslands as well as commercial and communal croplands; and (3) compared precipitation-vegetation dynamics between the drought season 2015/2016 and the non-drought season 2011/2012. Change in total annual vegetation productivity could detect drought years while drought dynamics during the season could be rather monitored by the VCI. Correlation of vegetation condition and precipitation indicated areas experiencing significant vegetation productivity trends showing low and even negative correlation coefficients indicating other drivers for productivity change and drought impact besides rainfall.