Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management

Future land cover changes may result in adjustments to biophysical drivers impacting on net ecosystem carbon exchange (NEE), catchment water use through evapotranspiration (ET), and the surface energy balance through a change in albedo. The Land Change Modeller (Idrisi Terrset 18.08) and land cover...

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Main Authors: Lesley Gibson, Zahn Münch, Anthony Palmer, Sukhmani Mantel
Format: Article
Language:English
Published: Elsevier 2018-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844018317626
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spelling doaj-b172700b544641419608e703fed5a0162020-11-25T03:27:13ZengElsevierHeliyon2405-84402018-07-0147e00693Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land managementLesley Gibson0Zahn Münch1Anthony Palmer2Sukhmani Mantel3School of Engineering, John Muir Building, The King's Buildings, Edinburgh, EH9 3JL, Scotland, United Kingdom; Corresponding author.Department of Geography and Environmental Studies, Stellenbosch University, Stellenbosch, 7600, South AfricaCentre for African Conservation Ecology, Nelson Mandela University, PO Box 77000, Port Elizabeth 6019, South AfricaInstitute for Water Research, Rhodes University, Grahamstown, 6140, South AfricaFuture land cover changes may result in adjustments to biophysical drivers impacting on net ecosystem carbon exchange (NEE), catchment water use through evapotranspiration (ET), and the surface energy balance through a change in albedo. The Land Change Modeller (Idrisi Terrset 18.08) and land cover for 2000 and 2014 are used to create a future scenario of land cover for two catchment with different land management systems in the Eastern Cape Province for the year 2030. In the S50E catchment, a dualistic farming system, the trend shows that grasslands represented 57% of the total catchment area in 2014 decreasing to 52% by 2030 with losses likely to favour a gain in woody plants and cultivated land. In T35B, a commercial system, persistence of grasslands is modelled with approximately 80% coverage in both years, representing a more stable system. Finally, for S50E, NEE and ET will increase under this land cover change scenario leading to increased carbon sequestration but less water availability and corresponding surface temperature increases. This implies that rehabilitation and land management initiatives should be targeted in catchments under a dualistic farming system, rather than those which are predominantly commercial systems.http://www.sciencedirect.com/science/article/pii/S2405844018317626Environmental scienceGeography
collection DOAJ
language English
format Article
sources DOAJ
author Lesley Gibson
Zahn Münch
Anthony Palmer
Sukhmani Mantel
spellingShingle Lesley Gibson
Zahn Münch
Anthony Palmer
Sukhmani Mantel
Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
Heliyon
Environmental science
Geography
author_facet Lesley Gibson
Zahn Münch
Anthony Palmer
Sukhmani Mantel
author_sort Lesley Gibson
title Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
title_short Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
title_full Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
title_fullStr Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
title_full_unstemmed Future land cover change scenarios in South African grasslands – implications of altered biophysical drivers on land management
title_sort future land cover change scenarios in south african grasslands – implications of altered biophysical drivers on land management
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2018-07-01
description Future land cover changes may result in adjustments to biophysical drivers impacting on net ecosystem carbon exchange (NEE), catchment water use through evapotranspiration (ET), and the surface energy balance through a change in albedo. The Land Change Modeller (Idrisi Terrset 18.08) and land cover for 2000 and 2014 are used to create a future scenario of land cover for two catchment with different land management systems in the Eastern Cape Province for the year 2030. In the S50E catchment, a dualistic farming system, the trend shows that grasslands represented 57% of the total catchment area in 2014 decreasing to 52% by 2030 with losses likely to favour a gain in woody plants and cultivated land. In T35B, a commercial system, persistence of grasslands is modelled with approximately 80% coverage in both years, representing a more stable system. Finally, for S50E, NEE and ET will increase under this land cover change scenario leading to increased carbon sequestration but less water availability and corresponding surface temperature increases. This implies that rehabilitation and land management initiatives should be targeted in catchments under a dualistic farming system, rather than those which are predominantly commercial systems.
topic Environmental science
Geography
url http://www.sciencedirect.com/science/article/pii/S2405844018317626
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