Land use/cover spatiotemporal dynamics, and implications on environmental and bioclimatic factors in Chingola district, Zambia

Kourouma, Jean Moussa; Phiri, Darius; Hudak, Andrew T.; Syampungani, Stephen

doi:10.1080/19475705.2022.2097132

Cited by 8 publications

(7 citation statements)

References 129 publications

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“…Today, the method is widely used throughout the nations of "Southern Africa" (Morgan, 2009). K in SLEMSA is defined as the rate of "soil loss" per unit of erosivity, which is a major departure from the RUSLE's definition of "K" as the rate of "soil loss" per unit of "erosivity" (Morgan, 2009). According to his findings, the "K-factor" and the dimensionless "soil erodibility index"both have a role in "SLEMSA", with the former being reliant on the latter in an exponential rather than linear fashion.…”

Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

“…However, it's not advised to use the formula for anything it wasn't designed to solve (Wischmeier, 1978). Since it was initially designed for "inter rill" and "rill erosion", it should not be used to predict gully or stream-bank erosion or estimate sediment output from drainage basins (Morgan, 2009).…”

Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

“…To assess the erosion caused by various agricultural methods and suggest suitable conservation measures, SLEMSA was first created using data from the "Zimbabwe Highveld". Today, the method is widely used throughout the nations of "Southern Africa" (Morgan, 2009). K in SLEMSA is defined as the rate of "soil loss" per unit of erosivity, which is a major departure from the RUSLE's definition of "K" as the rate of "soil loss" per unit of "erosivity" (Morgan, 2009).…”

Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

“…The applied "erosion model" incorporates multiple model concepts for recognizing distinct "soil erosion processes", such as "raindrop splash, sheet, rill, and gully erosion". According to Morgan (2009) the raindrop and run-off are the most important processes responsible for soil detachment along the hill slope and transportation. Though there are numerous plots and rainfall simulation location studies, a knowledge gap remains, whether climate change is responsible to cause hill slope erosion and what is the suitable soil erosion model combining both rainfall and run-off.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies

et al. 2022

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Climate change has an effect on ecosystems and people all around the globe and causes land degradation. A long‐term decline in biological output, loss of ecological integrity, and a fall in the economic worth of the land are all signs of “land degradation”, a downbeat trend in land condition. In the red lateritic zone of the tropical area, where “climate change” and “land degradation” are related, they impact one another. On the other hand, due to the emissions of greenhouse gases (GHGs), which slow the rate of carbon absorption, and the extent of various existing land degradation processes, which are worsened in pace and magnitude by “climate change”. The world's expanding population poses a challenge to supplying the rising demand for food in recent decades. The need for additional land for farming, feed, and other forms of production is fuelled by poverty and the destruction of the environment. In tropical regions, “soil erosion” caused by “water and wind, salinization and alkalinity, acidity, losses of organic carbon, nutrient imbalance, pollution/contamination by toxic substances, and soil sealing and capping” all call for immediate action to stop the land degradation process and sustainably restore productivity for environmental security and food security for the world's expanding population. After fulfilling the requirement systematic knowledge about soil, scientific use of natural resources (water, land, minerals, vegetation, air and biodiversity) will present a healthy planet with a healthy ecological system for future generations.

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Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

Section: Evaluation Of Modelling In Impact Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies

et al. 2022

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“…In Zambia, Mondoloka (2018) claimed that the mining industry in the northwestern province failed to mitigate the barrier to literacy within the host communities. Moreover, environmental pollution (Simukanga et al 2002), deforestation, degradation of water resources and modification of bioclimatic factors (Kourouma et al, 2022) as a result of mining activities have been reported as environmental shortcomings in the Copperbelt Province. A study by Von der Heyden and New (2004) revealed that the copper concentrations in the Kafue River sediments are far beyond that of other polluted river sediments worldwide.…”

Section: Introductionmentioning

confidence: 99%

Community‐centred approach for assessing social sustainability in mining regions: A case study of Chingola district, Zambia

Kourouma

Monde

Phiri

et al. 2023

Sustainable Development

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Social sustainability has received the least attention among the three-pillars of sustainable development in the mining regions of Africa. However, with the rapid population growth globally, social sustainability assessment using clearly defined indicators is becoming essential to ensuring urban sustainability, specifically in mining regions. This study assessed the contribution of the mining industry to the social sustainability of the Chingola district in terms of cumulative impacts and the extent to which CSR initiatives have contributed to a social sustainability profile. Mixed methods including in-depth key informant interviews guide and observation were used to collect data on social sustainability. The data were collected from 10 out of the 28 wards of Chingola, selected using a systematic random sampling. A total of 500 households of which 49 households (with a sampling unit of 10) and 10 key informants' stakeholders were purposively selected. Aggregation and normalization techniques were used to construct the composite indicators depicting the strength of each indicator. The social sustainability of the Chingola district based on the calculated composite indicators varies from weak-to-moderate sustainability. The proposed indicators could serve local government and mining companies, redirect development schemes, re-strategize the stakeholders' involvement, and support corporate governance.

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Landscape ecological risk assessment and its driving factors in the Weihe River basin, China

Chang,

Wei,

Dai

et al. 2024

J. Arid Land

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Land use/cover spatiotemporal dynamics, and implications on environmental and bioclimatic factors in Chingola district, Zambia

Cited by 8 publications

References 129 publications

RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies

RETRACTED: A systematic review on climate change and geo‐environmental factors induced land degradation: Processes, policy‐practice gap and its management strategies

Community‐centred approach for assessing social sustainability in mining regions: A case study of Chingola district, Zambia

Landscape ecological risk assessment and its driving factors in the Weihe River basin, China

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