Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Quantifying Forest Cover Loss during the COVID-19 Pandemic in the Charcoal Production Basin of Lubumbashi (DR Congo) through Remote Sensing and Landscape Analysis

Version 1 : Received: 29 April 2024 / Approved: 29 April 2024 / Online: 30 April 2024 (08:44:56 CEST)

A peer-reviewed article of this Preprint also exists.

Useni Sikuzani, Y.; Mpanda Mukenza, M.; Mwenya, I.K.; Muteya, H.K.; Nghonda, D.-D.N.; Mukendi, N.K.; Malaisse, F.; Kaj, F.M.; Mwembu, D.D.D.; Bogaert, J. Quantifying Forest Cover Loss during the COVID-19 Pandemic in the Lubumbashi Charcoal Production Basin (DR Congo) through Remote Sensing and Landscape Analysis. Resources 2024, 13, 95. Useni Sikuzani, Y.; Mpanda Mukenza, M.; Mwenya, I.K.; Muteya, H.K.; Nghonda, D.-D.N.; Mukendi, N.K.; Malaisse, F.; Kaj, F.M.; Mwembu, D.D.D.; Bogaert, J. Quantifying Forest Cover Loss during the COVID-19 Pandemic in the Lubumbashi Charcoal Production Basin (DR Congo) through Remote Sensing and Landscape Analysis. Resources 2024, 13, 95.

Abstract

In the context of the Lubumbashi Coal Production Basin (LCPB), the socio-economic repercussions of the COVID-19 pandemic have exacerbated pressures on populations dependent on forest resources for their subsistence. This study employs a comprehensive methodological approach, integrating advanced remote sensing techniques, including image classification, mapping, and detailed landscape analysis, to quantify alterations in forest cover within the LCPB during the pandemic period. Our findings reveal a consistent trend of declining forested area, characterized by processes of attrition and fragmentation observed throughout various study phases, spanning from May 2019 to November 2023. This reduction in forest cover, notably more pronounced in the vicinity of Lubumbashi city and the northern zone of the LCPB, proved to be less pronounced between November 2019 and September 2020, underscoring the influence of COVID-19 pandemic-induced confinement measures on forest management practices in the region. However, subsequent to this period of restriction, deforestation activity intensified, leading to significant landscape transformations within the LCPB, primarily attributable to expanded human activities, consequently resulting in a notable decrease in the proportion of land occupied by these natural ecosystems. Consequently, the size of the largest forest patch declined substantially, decreasing from 14.62% to 8.20% between May 2019 and November 2023, thereby fostering a heightened density of forest edges over time. Our findings provide a significant contribution to understanding the complex interactions between the COVID-19 pandemic and deforestation phenomena, emphasizing the urgent need to adopt adaptive management strategies and appropriate conservation measures in response to current economic challenges.

Keywords

Forest cover loss, COVID-19 pandemic, Remote sensing, Landscape analysis, Miombo woodland, Sustainable forestry

Subject

Environmental and Earth Sciences, Remote Sensing

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