Land cover change in marginalised landscapes of South Africa (1984–2014): Insights into the influence of socio-economic and political factors

IF 1.5 4区 综合性期刊 Q2 MULTIDISCIPLINARY SCIENCES South African Journal of Science Pub Date : 2023-08-08 DOI:10.17159/sajs.2023/10709
Buster Mogonong, J. Fisher, D. Furniss, Debbie Jewitt
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Abstract

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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南非边缘景观的土地覆盖变化(1984-2014):对社会经济和政治因素影响的见解
由于土地使用密集,南非农村景观的转化率很高;然而,这些变化是特定地点的,取决于该地区的社会经济和政治历史。利用1984年至2014年的Landsat图像,评估了夸祖鲁-纳塔尔省乌图克拉市辖区土地覆盖变化(LCC)对社会经济和政治因素的响应,同时与南非的其他研究进行了比较。社会经济/政治数据被用来深入了解所观察到的低成本成本模式。使用随机森林分类器对土地覆盖进行分类,准确率在87% ~ 92%之间。采用系统分析和强度分析方法描述了Imbabazane (ILM)和Okhahlamba (OLM)两市LCC的模式、发生率和转变。结果表明,1984 - 2014年间,ILM的变化强度率从3.4%降至0.9%,OLM的变化强度率从3.1%降至1.1%。1984 - 2014年,两市草地覆盖率均在70%以上。尽管持续存在,但在两个观察期,草地在ILM中分别损失3.7%和14.3%,在OLM中分别损失10.2%和13.3%。在分析期间,两个地方直辖市的居民点和耕地都得到了积极的发展。这些变化代表了一定程度的人口、地方当局和人们对土地利用和最低成本的看法。因此,有人认为,社会经济和政治变化可能会影响土地利用和最低成本成本;然而,自然生态系统可以在这些条件下持续存在,这需要更多的研究努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
South African Journal of Science
South African Journal of Science 综合性期刊-综合性期刊
CiteScore
3.20
自引率
4.20%
发文量
131
审稿时长
1 months
期刊介绍: The South African Journal of Science is a multidisciplinary journal published bimonthly by the Academy of Science of South Africa. Our mandate is to publish original research with an interdisciplinary or regional focus, which will interest readers from more than one discipline, and to provide a forum for discussion of news and developments in research and higher education. Authors are requested to write their papers and reports in a manner and style that is intelligible to specialists and non-specialists alike. Research contributions, which are peer reviewed, are of three kinds: Review Articles, Research Articles and Research Letters.
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