Spatial and temporal dynamic of land-cover/land-use and carbon stocks in Eastern Cameroon: a case study of the teaching and research forest of the University of Dschang

Temgoua, Lucie Félicité; Solefack, Marie Caroline Momo; Voufo, Vianny Nguimdo; Belibi, Chr etien Tagne; Tanougong, Armand Delanot

doi:10.1080/21580103.2018.1520743

Cited by 17 publications

(10 citation statements)

References 25 publications

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“…The knowledge of the terrain has made it possible to identify the constituent elements of the environment and to accurately characterize the occupation modes through thresholding methods and supervised classification. The use of remote sensing has already been used in the analysis of land cover dynamics by many authors (Tabopda, 2012;Ellis et al, 2010;Temgoua et al, 2018;Momo et al, 2018;Djiongo et al, 2020;Tsewoue et al, 2020), but this approach has the advantage of allowing for more accurate extraction of vegetation information. The confusion matrix reveals that the pixels of some land use units were confused with others; but the Kappa index obtained which varies between 0.90 and 0.98 for the images of each site confirms the statistical acceptability of these classifications.…”

Section: Land Use/land Cover Dynamicsmentioning

confidence: 99%

Spatio-temporal dynamics of land use on the expansion of coffee agroforestry systems in Cameroons production basins

Fogang¹,

Tientcheu²,

Tankou³

et al. 2021

Afr. J. Environ. Sci. Technol.

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Diachronic analysis of satellite images was used to assess the spatiotemporal dynamics of land use and land cover change in the coffee production basins of Cameroon, located in the forest agroecological zones (Moungo and Haut-Nyong) and the highland humid savannah (Noun). A survey of farmers was carried out to identify land use and changes in the area of coffee agroforests over time. While the period 1980 to 2001 was marked by an increase in the area of the forest/agroforest land-use unit, the period 2001 to 2019 shows significant regressions ranging from 14 to 22% of the total area of each basin. Significant changes in the land use units have repercussions on the areas dedicated to coffee growing, which have decreased significantly; today, the largest areas under cultivation are in Haut-Nyong (1.51±1.27 ha), the medium areas in Moungo (1.14±1.13 ha) and the smallest in Noun (0.67±0.72 ha). Coffee abandonment coupled with anthropogenic factors such as agriculture and housing expansion are mainly responsible for the degradation of coffee agroforests, with notable repercussions on land cover changes. The cocoa-coffee revival encouraged by sectoral Ministries in recent years seems to have encouraged cocoa production, since in agro-ecological regions; the increase in forest/agroforest area is mainly attributable to Theobroma cacao and Elaies guineensis.

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Section: Land Use/land Cover Dynamicsmentioning

confidence: 99%

Spatio-temporal dynamics of land use on the expansion of coffee agroforestry systems in Cameroons production basins

Fogang¹,

Tientcheu²,

Tankou³

et al. 2021

Afr. J. Environ. Sci. Technol.

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“…FAO (2016) reports an increase in agricultural land of 6 million hectares per year in tropical countries. But other direct and indirect factors of this change are wood extraction, infrastructure extension, the development of the mining sector and other activities that change the physical attributes of the land cover (Gillet et al, 2016;Lambin et al, 2003;Momo Solefack et al, 2018;Temgoua et al, 2018a). In Congo basin, deforestation and forest degradation are concentrated around densely populated areas (Megevand, 2013).…”

Section: Introduction and Background Of The Studymentioning

confidence: 99%

“…Between 2000 and 2005, annual net deforestation in the Congo Basin was estimated at 0.17% and annual net degradation at 0.09% over the same period (Ernst et al, 2013;De Wasseige et al, 2012). Recent studies show that even classified forests are facing many anthropogenic pressures that lead to their degradation and deforestation (Djiongo et al, 2020;Fokeng et al, 2020;Kyale et al, 2019;Temgoua et al, 2018a;Zekeng et al, 2019).…”

Section: Introduction and Background Of The Studymentioning

confidence: 99%

“…For the planning and sustainable management of the natural forest resources, detailed knowledge of land use and land cover, as well as the detection of changes, is considered as key parameter for the assessment of the environment and its evolution over time (Verburg et al, 2011;Usman et al, 2015). Thus, remote sensing emerges as a fundamental technology to assist in this spatial and temporal planning of land use types and vegetation cover evolution (Hansen et al, 2013;Loveland & Dwyer, 2012;Temgoua et al, 2018a;Tsayem, 2010).…”

Section: Introduction and Background Of The Studymentioning

confidence: 99%

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Land use and land cover dynamics in the Melap Forest Reserve, West Cameroon: implications for sustainable management

Temgoua

Elono

Njiaghait

et al. 2021

Geology, Ecology, and Landscapes

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The present study aims to analyse the dynamics of land use and land cover in the Melap Forest Reserve in West Cameroon on the basis of a diachronic analysis of Landsat 4 TM, Landsat 7 ETM + and Landsat 8 OLI_TIRS images for the years 1988, 2000 and 2018 respectively. Satellite images were processed using ENVI and ArcGIS software. The results showed that The Melap Forest Reserve consists of five main classes of land use/land cover; namely, forest, savannah, bare soil, cropland and built-up area. The analysis showed an ongoing deforestation and degradation of the forest. The forest class has been steadily decreasing from 1345 ha in 1988 to 664 ha in 2018, corresponding to a total loss of 680.9 ha (around 49%) over the 30-year period. The decrease in forest has led to an increase in savannah (+ 315 ha from 1988 to 2018); cropland (+ 351 ha); as well as built-up (+ 9 ha) and bare soil (+ 6 ha). The local communities are the main actors of these changes, principally through agriculture, wood extraction and breeding. Then, the present study suggests participatory management, which includes local communities, for the restoration and the management of the study area.

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“…Remote sensing methods are more advanced and combine ground measurement data with a wide range of both optical and microwave remote sensing data (e.g., [8,9]). The latter methods include a simple lookup table method that links ground measurement data to a land-cover map that is generated from satellite image classification (e.g., [10]), regression model development using different spectral variables and indices derived from satellite image data as predictors (e.g., [11,12]), a combination of regression modeling and kriging interpolation (e.g., [13]), and the application of LiDAR (light detection and ranging) (e.g., [14,15]) and RADAR (radio detection and ranging) (e.g., [16]) data. Developing an efficient method with an acceptable level of accuracy is a considerable challenge, particularly in countries and regions with limited resources, with limited access to high-resolution and high-quality remote sensing data.…”

Section: Introductionmentioning

confidence: 99%

Land-Cover and Elevation-Based Mapping of Aboveground Carbon in a Tropical Mixed-Shrub Forest Area in West Java, Indonesia

Sumarga

Nurudin

Suwandhi

2020

Forests

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Carbon sequestration and storage are among the most important ecosystem services provided by tropical forests. Improving the accuracy of the carbon mapping of tropical forests has always been a challenge, particularly in countries and regions with limited resources, with limited funding to provide high-resolution and high-quality remote sensing data. This study aimed to examine the use of land-cover and elevation-based methods of aboveground carbon mapping in a tropical forest composed of shrubs and trees. We tested a geostatistical method with an ordinary kriging interpolation using three stratification types: no stratification, stratification based on elevation, and stratification based on land-cover type, and compared it with a simple mapping technique, i.e., a lookup table based on a combination of land cover and elevation. A regression modelling with land cover and elevation as predictors was also tested in this study. The best performance was shown by geostatistical interpolation without stratification and geostatistical interpolation based on land cover, with a coefficient of variation (CV) of the root mean square error (RMSE) of 0.44, better than the performance of lookup table techniques (with a CV of the RMSE of more than 0.48). The regression modeling provided a significant model, but with a coefficient of determination (R2) of only 0.29, and a CV of the RMSE of 0.49. The use of other variables should thus be further investigated. We discuss improving aboveground carbon mapping in the study area and the implications of our results for forest management.

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Spatial and temporal dynamic of land-cover/land-use and carbon stocks in Eastern Cameroon: a case study of the teaching and research forest of the University of Dschang

Cited by 17 publications

References 25 publications

Spatio-temporal dynamics of land use on the expansion of coffee agroforestry systems in Cameroons production basins

Spatio-temporal dynamics of land use on the expansion of coffee agroforestry systems in Cameroons production basins

Land use and land cover dynamics in the Melap Forest Reserve, West Cameroon: implications for sustainable management

Land-Cover and Elevation-Based Mapping of Aboveground Carbon in a Tropical Mixed-Shrub Forest Area in West Java, Indonesia

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