Assessing the Economic Contribution of Forest Use to Rural Livelihoods in the Rubi-Tele Hunting Domain, DR Congo

Mendako, Richard K.; Tian, Gang; Ullah, Saif; Sagali, Heri Labani; Kipute, Daddy D.

doi:10.3390/f13010130

Cited by 16 publications

(9 citation statements)

References 83 publications

(172 reference statements)

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“…Furthermore, the tropical rainforests of Congo are a key factor in producing oxygen and regulating global temperature through the absorption of solar radiation by forest massifs. Moreover, forest resources offer critical and principal support to the welfare of rural livelihoods and the socioeconomic wellbeing of the local population [87], which includes forest-related practices such as forest clearing. As a result, land use and shifting agriculture have become the major causes of the hydrological flow regime, environmental changes from the regional to global scale [88], as well as deforestation, along with the increased population density and associated urban growth [89].…”

Section: Study Areamentioning

confidence: 99%

R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC

Lemenkova

Debeir

2022

Applied Sciences

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In this paper, an image analysis framework is formulated for Landsat-8 Operational Land Imager and Thermal Infrared Sensor (OLI/TIRS) scenes using the R programming language. The libraries of R are shown to be effective in remote sensing data processing tasks, such as classification using k-means clustering and computing the Normalized Difference Vegetation Index (NDVI). The data are processed using an integration of the RStoolbox, terra, raster, rgdal and auxiliary packages of R. The proposed approach to image processing using R is designed to exploit the parameters of image bands as cues to detect land cover types and vegetation parameters corresponding to the spectral reflectance of the objects represented on the Earth’s surface. Our method is effective at processing the time series of the images taken at various periods to monitor the landscape dynamics in the middle part of the Congo River basin, Democratic Republic of the Congo (DRC). Whereas previous approaches primarily used Geographic Information System (GIS) software, we proposed to explicitly use the scripting methods for satellite image analysis by applying the extended functionality of R. The application of scripts for geospatial data is an effective and robust method compared with the traditional approaches due to its high automation and machine-based graphical processing. The algorithms of the R libraries are adjusted to spatial operations, such as projections and transformations, object topology, classification and map algebra. The data include Landsat-8 OLI-TIRS covering the three regions along the Congo river, Bumba, Basoko and Kisangani, for the years 2013, 2015 and 2022. We also validate the performance of graphical data handling for cartographic visualization using R libraries for visualising changes in land cover types by k-means clustering and calculation of the NDVI for vegetation analysis.

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Section: Study Areamentioning

confidence: 99%

R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC

Lemenkova

Debeir

2022

Applied Sciences

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“…There are many ways that forest ecosystem services support rural livelihoods (Ahammad et al, 2019). Households in the low-income group depended more on forest resources (Mendako et al, 2022) Communities living near forests rely heavily on forest resources (Munawaroh et al, 2011). This is because the forest provides basic needs like food and animal feed (Haryani & Rijanta, 2019).…”

Section: Introductionmentioning

confidence: 99%

'Women's Dependency Rate on the Kerinci Seblat National Park Area in Fulfilling Their Basic Needs

Juniar Andika,

Anwar,

Hendratiti

2024

IJALSR

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Kerinci Seblat National Park experienced an encroachment rate during 1990-2014 of 2,737 ha/year or 52.6% of the highest encroachment area in the Tropical Rainforest Heritage of Sumatera. Dependence on forests is done to meet basic needs such as food and animal feed. A study was required to determine the level of women's dependence on Kerinci Seblat National Park through the fulfillment of basic needs. The data collection methods used were a literature study, field observation, and an in-depth interview. Ranking the level of dependence of women in the Kerinci Seblat National Park conservation area through the fulfillment of basic needs based on the Indonesian High Conservation Value Toolkit Revision Consortium (2008). The existing land in Pal VIII Village is mainly agricultural land, namely coffee plantations. The research results through in-depth interviews showed that women in Pal VIII Village fulfill their needs for food, energy sources, and medicines, many of which are obtained from outside the area. Cultivation was carried out on their private land and utilized in their yard. Women's use of forest resources in the area was low because women met their basic needs from outside the Kerinci Seblat area. The characteristics of fulfilling women's basic needs were mostly met in several ways, namely cultivation, buying, and taking from private gardens. Thus, the level of dependence of Pal VIII Village women to fulfill their basic needs in the Kerinci Seblat National Park area was low.

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“…Two studies found that the percentage of rural households relying on forest income globally varies between 28% and 33% [4], [5]. Environmental revenue accounts for 28% of total household income, with 77% coming from natural forests [4].…”

Section: Introductionmentioning

confidence: 99%

“…Environmental revenue accounts for 28% of total household income, with 77% coming from natural forests [4]. Another study found that the proportion of forest income to total household income ranged from 32% to 33%, with wood fuel being the largest source of income [5].…”

Section: Introductionmentioning

confidence: 99%

Climate Change, Agricultural Production, Food Security, and Livelihoods of Rural Communities in Rural Districts: A Qualitative Approach

Rusmayandi¹,

Indriyani²,

Hertini³

et al. 2023

WSIS

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Climate change significantly impacts agricultural production, food security, and livelihoods of rural communities in Sukabumi District. This study examines the relationship between climate change, agricultural production, food security, and the livelihoods of rural communities in the Sukabumi District. The study used a qualitative approach, including household surveys, interviews with key informants, and focus group discussions, to gather in 20 villages. Studies have found that climate change has led to a decline in crop yields, which has led to food insecurity and decreased incomes and livelihood opportunities for rural communities. Studies have also found that rural communities have used various adaptation strategies to cope with the impacts of climate change. However, these strategies are not enough to fully address the challenges faced by rural communities. The study's findings highlight the need for effective adaptation strategies to help rural communities cope with the impacts of climate change. In addition, the study findings point to the need for more investment in climate change research and monitoring, especially at the local level, to better understand the impact of climate change on rural communities and to provide foundational information for evidence-based policymaking and decision-making. Studies have limitations, including limited sample size and reliance on self-reported data. Future research could use a longitudinal design and incorporate more objective measures of agricultural productivity and food security to understand better climate change's impact on rural communities in Sukabumi District.

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Assessing the Economic Contribution of Forest Use to Rural Livelihoods in the Rubi-Tele Hunting Domain, DR Congo

Cited by 16 publications

References 83 publications

R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC

R Libraries for Remote Sensing Data Classification by K-Means Clustering and NDVI Computation in Congo River Basin, DRC

'Women's Dependency Rate on the Kerinci Seblat National Park Area in Fulfilling Their Basic Needs

Climate Change, Agricultural Production, Food Security, and Livelihoods of Rural Communities in Rural Districts: A Qualitative Approach

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