Human-induced fire is one of the most important determinants of forest cover and change in tropical and subtropical regions of the world. Yet its impact on forest cover and forest cover change remains unclear, as fires in Africa generally do not spread over very large area. This is particularly the case in the Democratic Republic of Congo (DRC), a region of the world that is still poorly investigated. Here, we propose to study the effect of human-induced fire on land use and land cover change in a protected area of the DRC, i.e. the Luki Biosphere Reserve (LBR). We investigate tree cover changes in and around the reserve between 2002 and 2019 using Landsat 7 ETM+, Landsat 8 OLI/TIRS and MODIS MCD12Q1 images and quantify human induced fires using MODIS MCD64A1 images. The study combines land use and land cover (LULC) change detection analysis of four images, two acquired in 2002 and two acquired in 2019, with multi-temporal assessment of annual burnt area acquired between 2002 and 2019 from MODIS MCD64A1 to assess the role of fire in LULC changes and the sensitivity of different LULC types to fire. The results show a dynamic conversion of primary forest to secondary forest over about 16% of the area, the evolution of savanna to secondary forest over 9.6% (Landsat image) and the replacement of secondary forest by savanna over 8.1% (MODIS image) of the total area of Luki Reserve. Of the total area undergoing land use change, 34.1% (Landsat image) and 35.7% (MODIS image) were caused by fire, which however did not cause a significant LULC change. For the LULC types that experienced fire events, the least stable type was primary forest, which had the lowest stability rate (34.2% and 23% for Landsat and MODIS image analysis, respectively) compared to others. This result illustrates the importance of fire as a driver of primary forest loss and degradation in the region. Despite the high exposure of savannas to fire events, they were not significantly destabilized by fire (stability rates of 86.3 and 97% for Landsat and MODIS analysis, respectively). Future analyses should focus on discriminating between different fire types to better understand the complex relationship between fire and ecosystem conditions.

The protected areas (PA) of the Democratic Republic of the Congo serve as vital carbon reservoirs and are crucial for biodiversity conservation and climate regulation. Despite their significance, these areas face escalating rates of deforestation and degradation, often poorly understood at the local level. This study focuses on the dynamics of tropical moist forest (TMF) and the relative importance of the driving factors in the landscape of Kahuzi-Biega National Park (KBNP), one of the country’s prominent PAs. Analyzing annual TMF dynamics from 1990 to 2022 using data classified by Vancutsem and his collaborators in 2021 from Landsat imagery alongside spatial datasets of deforestation and degradation drivers, we employed a comprehensive analytical approach. This included meshing, multi-scale analysis, principal component analysis, zoning, multiple linear regression, and relative importance analysis through bootstrapping. The findings indicate that the grid size considered does not significantly influence TMF dynamics in the KBNP landscape (p-value = 0.67, α = 0.05). The edge and outer zones experienced substantial dynamics, with approximately 30% forest cover loss in both areas, contrasting with the relatively stable TMF cover (~100%) in the inner zone. Fire emerged as the most influential driver, explaining TMF dynamics with a relative importance of approximately 55%, 30%, and 23% in the inner, edge, and outer zones, respectively. This study underscores KBNP’s efficacy in curbing TMF loss but highlights the need for enhanced protection around its periphery. Management efforts should prioritize sustainable land use practices, livelihood improvement, and the establishment of an officially recognized buffer zone.

Aim: This study was conducted to assess the prevalence of calf fetal wastage and its economic implications at ELAKAT slaughterhouse, Bukavu, Democratic Republic of Congo (DR Congo) to fill the research gap in relationship with this thematic. The study investigations took place from May to September 2018. Materials and Methods: A cross-sectional survey was carried at the slaughterhouse. For each visit, the number of cattle slaughtered, the number of pregnant cows slaughtered, and gestational ages (stage of pregnancy of the dam, and estimated by crown-rump length) of the fetuses were recorded. Results: Out of the 1035 cattle slaughtered during the study period, 970 were females. A total of 255 fetuses were recovered, representing a fetal recovery rate of 26.28%. The study established that one fetus was lost out of 4.5 cows slaughtered, and most of fetuses recovered (58.1%) were in the first trimester of gestation while 29.1% and 12.8% were, respectively, in the second and third trimester. Their age varied from 1.2 to 8.6 months, with body length ranging from 14 cm to 92 cm while their weight varied from 1.0 kg to 23.0 kg. The economic loss associated with the total cattle fetal wastages was estimated at Congo Democratic Francs (CDF) 29,906,400 ($15,787.5) with a monthly average of CDF 5,981,280 ($3,157.5). Conclusion: These results attested that slaughtering pregnant cows constitute a strong constraint on cattle industry development in DR Congo. Urgent measures, such as adequate enforcement of legislations on routine veterinary examinations at slaughterhouses as well as livestock owner's sensitization, are required to avoid selling pregnant cows during calving season.

This study examines the evolution of anthropogenic pressures on the Itombwe Nature Reserve and its periphery over the period 1990–2024 using satellite imagery. Two landscape ecology indices were employed: the Percentage of Landscape (PLAND) and the Largest Patch Index (LPI). The PLAND quantifies the overall extent of each habitat type, while the LPI provides insights into their spatial configuration. Eighty-three plots (each 2.5 km per side, i.e., 6.25 km²) were sampled in both the reserve and its periphery to generate robust landscape replications. Analysis focused on three key land use classes: forests, savannahs, and fields. Statistical comparisons using Kruskal–Wallis and Mann-Whitney U tests revealed a decline in forest cover within the reserve and its periphery, accompanied by a steady increase in savannahs and fields. The decline in forest cover is particularly pronounced along the reserve’s periphery. For instance, in the reserve, forest cover decreased from 78.4% in 1990 to approximately 60.2% in 2024, whereas on the periphery, it dropped from 37.5% to about 21.4%. In contrast, the savannah areas increased from 17.7% to 29.5% within the reserve and maintained a marked predominance on the periphery (rising from 53.9% to 55.2%). Additionally, the area dedicated to fields exhibited notable expansion, rising from 3.70% to 10.22% in the reserve and from 7.54% to 21.98% along the periphery. These findings underscore the significant impacts of anthropogenic pressure on the forest ecosystems in both the reserve and its periphery. They highlight the urgent need for enhanced conservation measures within the reserve, as well as the implementation of sustainable land use practices (e.g., agroforestry and sustainable agriculture) in the peripheral zones to reduce the local population’s dependence on forest resources.

Brachiaria grass (Urochloa spp.) is one of the key forage grasses utilized in sub‐Saharan Africa for improving livestock productivity, particularly in terms of milk production and feed sufficiency. Limited information on its genetic resources has hindered its breeding and conservation strategies. This study used a set of 199 accessions collected across the Democratic Republic of Congo, which were genotyped using the Diversity Arrays Technology Sequencing platform. A total of 5787 high‐quality single nucleotide polymorphisms (SNPs) were used to evaluate genetic diversity and population structure. Markers were moderately informative in differentiating the accessions with average polymorphic information content and gene diversity of 0.29 and 0.08, respectively. Structure analysis showed seven sub‐populations (K = 7) with admixture corresponding to the geographical sources of the accessions. Discriminant analysis of principal component (DAPC) and principal component analysis further classified the accessions into five and six clusters, respectively. Genetic clustering was consistent with the DAPC and showed five main clusters with variable membership coefficients. Most pairs of accessions (80.6%) had a Euclidean genetic distance above 0.25, suggesting that most of them were genetically diverse. Mantel tests revealed a positive correlation between geographic and genetic distance among populations (r = 0.315, p = 0.0001), demonstrating consistency with the isolation by distance model. Analysis of molecular variance revealed significant differences between sub‐populations, 74.41%, and a high fixation index (F_st = 0.77) and low number of migrants per generation (Nm = 0.08), indicating high genetic differentiation and a low gene exchange among the sub‐populations and suggesting the presence of different Brachiaria grass species in our collection. The results revealed significant genetic diversity in the Brachiaria grass collection, which could be explored in genetic improvement, marker‐assisted breeding, and to enhance conservation management of this germplasm in the future.

In the Lubumbashi charcoal production basin (LCPB) in south-eastern DR Congo, agricultural and charcoal production activities regularly give rise to fires that lead to considerable degradation of the miombo open forest. This study analyzes the drivers of the spatio-temporal distribution of active fires and burnt areas in the LCPB by processing MODIS and Landsat data. In addition, a Kernel density analysis method (KDE) was used to estimate fire risk, while the effect of the road network and dwellings on vegetation fires was highlighted in areas between 0-3000m radius. Obtained results revealed that fires in the LCPB generally occur between April and November mainly during the day, between 11am and 12pm. These fires are concentrated in the central and south-western part of the LCPB, more specifically in the savannahs and near roads. From 2002 to 2022, an average of 11,237 active fires and an average of 6,337 km2 of burnt areas were recorded in the LCPB. Each year, these fires peak in August, and despite their steady decline, the few fires that have affected the forests have caused more devastation (more than 2790 km2 / year) than those observed in the fields and savannah. These figures highlight the imperative need to put in place fire prevention and management measures in the LCPB, with particular emphasis on awareness, monitoring and fire-fighting measures.