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Land cover change in marginalised landscapes of South Africa (1984-2014): Insights into the influence of socio-economic and political factors
被引:3
|作者:
Mogonong, Buster P.
[1
,3
]
Fisher, Jolene T.
[1
]
Furniss, David
[1
]
Jewitt, Debbie
[1
,2
]
机构:
[1] Univ Witwatersrand, Ctr African Ecol, Sch Anim Plant & Environm Sci, Johannesburg, South Africa
[2] Ezemvelo KZN Wildlife, Sci Serv, Conservat Res & Assessment, Pietermaritzburg, South Africa
[3] South African Environm Observat Network SAEON, Arid Lands Node, Kimberley, South Africa
基金:
新加坡国家研究基金会;
关键词:
rural landscapes grassland;
persistence systematic and intensity;
analysis uThukela Municipal District;
LIKANGALA RIVER CATCHMENT;
NATURAL-RESOURCE USE;
INTENSITY ANALYSIS;
DYNAMICS;
TRANSFORMATION;
SERVICES;
RESERVE;
FOREST;
D O I:
10.17159/sajs.2023/10709
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
Rural landscapes in South Africa experience high conversion rates due to intense land use; however, the changes are site specific and depend on the socio-economic and political history of the area. Land cover change (LCC) was assessed in response to socio-economic and political factors in uThukela Municipal District, KwaZulu-Natal, using Landsat imagery from 1984 to 2014, while making comparisons to other studies in South Africa. Socio-economic/political data were used to gain insights into the observed LCC patterns. Land cover was classified using a random forest classifier, and accuracies ranging from 87% to 92% were achieved. Systematic and intensity analysis methods were used to describe patterns, rates, and transitions of LCC in Imbabazane (ILM) and Okhahlamba (OLM) local municipalities. The results showed a reduced rate of change intensity from 3.4% to 0.9% in ILM and from 3.1% to 1.1% in OLM between 1984 and 2014. Grassland was persistent, covering over 70% in both local municipalities between 1984 and 2014. Although persistent, grassland experienced respective losses of 3.7% and 14.3% in both observation periods in ILM and of 10.2% and 13.3% in OLM. During the analysis period, settlements and cropland gained actively in both local municipalities. The changes represent a degree of population, local authority, and people's perception as influencers of land use and LCC. It is therefore argued that socio-economic and political changes can potentially influence land use and LCC; however, natural ecosystems can persist under those conditions, and this requires more research efforts.
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