Chapitre 36. Dynamique spatio-temporelle de la forêt classée de l’Alibori-Supérieur et impact sur la biodiversité végétale

Biaou, Séverin; Gouwakinnou, Gérard Nounagnon; Houessou, Gbènato Laurent; Ahononga, Codjo Fiacre; Idjigberou, Shègoun Eudes; Houeto, Ogoubiyi Félix

doi:10.4000/books.irdeditions.41897

Cited by 4 publications

(7 citation statements)

References 11 publications

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“…On a larger scale, a study carried out by [38] in the Sahelian region in Africa shows similar rainfall pattern results, structured into three main periods: a wet period called 'fat cow' from 1947 to 1969; secondly, a severe drought period from 1970; and a third period with a return to wet conditions from 1990. The rainfall pattern is almost the same in the whole of West Africa and is reported by the studies of [39][40][41] [44][45][46], the variability of West African rainfall has been linked to several climate oscillation indices and to atmospheric factors such as the African Easterly Jet (AEJ), the Tropical Easterly Jet (TEJ), the position of the Inter-Tropical Convergence Zone (ITCZ), and regional SST. In the Niger basin in particular, the dry trends observed across the basin in the 1970s and 1980s might be the result of the approximately 150 to 250 km southward shift in isohyet lines observed in the whole Niger Basin which was attributed to global climate change [47].…”

Section: Climate Assessment Of the Sota Catchmentsupporting

confidence: 59%

“…The primary objective of these corrections was to eliminate any undesired noise and artifacts present in the images, thereby substantially enhancing their visual clarity and information quality. Furthermore, these meticulous corrections primed the images for subsequent supervised classification [42][43][44]. Following the pre-processing phase, a series of operations encompassing image extraction and mosaicking were employed to generate consolidated and spatially consistent image datasets.…”

Section: Land Cover Classification and Assessment Of The Changesmentioning

confidence: 99%

“…To facilitate an accurate supervised classification process, training areas were meticulously delineated through the application of the maximum likelihood algorithm. Maximum likelihood is one of the most popular supervised classification methods used with remote sensing image data among several algorithms of supervised approach [44]. The maximum likelihood classification assumes that the statistics for each class in each band are normally distributed and calculates the probability that a given pixel belongs to a specific class [45].…”

Section: Land Cover Classification and Assessment Of The Changesmentioning

confidence: 99%

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Climate and Land Use/Land Cover Changes within the Sota Catchment (Benin, West Africa)

Sambieni,

Hountondji,

Sintondji

et al. 2024

Hydrology

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Climate and land cover changes are key factors in river basins’ management. This study investigates on the one hand 60-year (1960 to 2019) rainfall and temperature variability using station data combined with gridded data, and on the other hand land cover changes for the years 1990, 2005, and 2020 in the Sota catchment (13,410 km2, North Benin, West Africa). The climate period is different from the chosen land use change period due to the unavailability of satellite images. Standardized anomaly index, break points, trend analysis, and Thiessen’s polygon were applied. Satellite images were processed and ground truthing was carried out to assess land cover changes. The analyses revealed a wet period from 1960 to 1972, a dry period from 1973 to 1987, and another wet period from 1988 to 2019. The annual rainfall decreases from the south to the north of the catchment. In addition, rainfall showed a non-significant trend over the study period, and no significant changes were identified between the two normals (1960–1989 and 1990–2019) at catchment scale, although some individual stations exhibited significant trends. Temperatures, in contrast, showed a significant increasing trend over the study period at catchment scale, with significant break points in 1978, 1990, and 2004 for Tmax, and 1989 for Tmin. An increase of 0.4 °C and 1.2 °C is noted, respectively, for Tmax and Tmin between the two normals. The study also revealed increases in agricultural areas (212.1%), settlements (76.6%), waterbodies (2.9%), and baresoil (52%) against decreases in woodland (49.6%), dense forest (42.2%), gallery forest (21.2%), and savanna (31.9%) from 1990 to 2020. These changes in climate and land cover will have implications for the region. Appropriate adaptation measures, including Integrated Water Resources Management and afforestation, are required.

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Section: Climate Assessment Of the Sota Catchmentsupporting

confidence: 59%

Section: Land Cover Classification and Assessment Of The Changesmentioning

confidence: 99%

Section: Land Cover Classification and Assessment Of The Changesmentioning

confidence: 99%

See 1 more Smart Citation

Climate and Land Use/Land Cover Changes within the Sota Catchment (Benin, West Africa)

Sambieni,

Hountondji,

Sintondji

et al. 2024

Hydrology

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“…With the exception of the Abdoulaye wildlife reserve [43], all protected areas of Togo experience anthropogenic pressure conducing to regression of forest lands [38,42,52,53]. The same trends were described in West African protected areas [54,55].…”

Section: Discussionmentioning

confidence: 84%

Dynamic and Floristic Structure of Kouampante Community Forest (Savannahs’ Region, Togo)

EHLUI

2024

Preprint

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Community forests are being promoted in Togo as an alternative to the degradation of protected areas and as a means of restoring forest landscapes. The present study is carried out within Kouampante Community Forest (KCF) in Ogaro (Togo, West Africa). It intends to contribute to the sustainable management of KCF. Specially, it aims at: (i) mapping forest ecosystems and analysing their dynamic and (ii) characterising the floristic diversity of the KCF. Forest ecosytems are mapped and their dynamic evaluated based on Google Earth images of 2010 and 2020. The floristic and silvicultural analyses are based on inventories carried out in 13 plots of 1,000 m² each. The KCF is made up mainly by tree/shrub savannahs (58.73%) and croplands/fallow (41.27%) in 2010. These two land use types have undergone changes over the period. In 2020, the KCF had two land use types: tree/shrub savannahs (84.30%) and croplands/fallows (15.70%). The flora census consisted of 59 species grouped in 6 families. The most important plant species are Detarium microcarpum and Vitellaria paradoxa. The Fabaceae were the most abundant and diversified families, followed by the Combretaceae. The demographic structure showed a high abundance of individuals with small diameter and height. This indicates the possibility of a rapid restoration of the native vegetation. Protecting the forest from anthropogenic threats could be crucial for achieving the desired objective.

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“…The rural areas of the KCA deserve special attention as they are constantly experiencing unplanned local changes in land cover (Mpanda et al 2022), while the spatial pattern of the landscape is timidly evolving at the scale of the KCA (Mwitwa et al 2012). In turn, these changes in the spatial pattern of landscape (composition and configuration) are likely to lead to local climatic disturbances, contributing to global change and affect biodiversity (Bogaert and André 2013;Biaou et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Anthropogenic pressures and spatio-temporal dynamics of forest ecosystems in the rural and border municipality of Kasenga (DRC)

Useni Sikuzani,

Kipili Mwenya,

Khoji Muteya

et al. 2024

Landscape Ecol Eng

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Migration and the dependence of rural communities on forest resources for subsistence have profoundly altered the composition and spatial structure of the landscapes of the border municipality of Kasenga in the southeast of DR Congo. The spatio-temporal dynamics of anthropogenic effects on forest ecosystems were mapped and quantified in the municipality of Kasenga using Landsat image classification from 1989 to 2022, combined with landscape ecology metrics to analyze spatial patterns. Our results show that the landscape has undergone profound disturbances. The area of large patches of forest that used to dominate the landscape has been reduced by a factor of 4 from 1989 to 2022, thus indicating the anthropogenic impact on the fragmentation of forest ecosystems. If in 33 years (from 1989 to 2022) forest has lost more than a third of their coverage through the dissection, fragmentation and attrition of patches, agriculture, grassland and wetland, and built-up and bare land have recorded a progressive dynamic resulting from the creation and aggregation of patches. These anthropogenic transformations, coupled with a lack of land management planning, will compromise the future of forest ecosystems since the level of landscape disturbance has quintupled from 1.1 to 5.5 in 33 years. There is then an urgent need to develop an integrated and participatory land management strategy to preserve forest resources and guarantee their resilience.

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Chapitre 36. Dynamique spatio-temporelle de la forêt classée de l’Alibori-Supérieur et impact sur la biodiversité végétale

Cited by 4 publications

References 11 publications

Climate and Land Use/Land Cover Changes within the Sota Catchment (Benin, West Africa)

Climate and Land Use/Land Cover Changes within the Sota Catchment (Benin, West Africa)

Dynamic and Floristic Structure of Kouampante Community Forest (Savannahs’ Region, Togo)

Anthropogenic pressures and spatio-temporal dynamics of forest ecosystems in the rural and border municipality of Kasenga (DRC)

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