Cartographie de la déforestation  dans le département de l'Alibori (nord du Benin) grâce aux images satellitaires SPOT

Djaouga, Mama; Arouna, Ousséni; Zakari, Soufouyane; Kouta, Sébastien; Moumouni, Yaya Issifou; Mertens, Benoı̂t; Imorou, Ismaïla Toko; Thomas, Omer

doi:10.52638/rfpt.2021.577

Cited by 4 publications

(5 citation statements)

References 8 publications

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“…This result does not entirely support local knowledge/perception, which ranked deforestation as the primary driver of pangolin decline in Benin (Zanvo et al, 2020). However, considering the significant deforestation rate and land use change observed in Benin during the 20th century (Djaouga et al, 2021; Padonou et al, 2017), it is likely that habitat degradation and defaunation of large‐bodied animals (rare) changed the hunting pattern that has recently been focusing on medium and small animals as pangolins (see Djagoun et al, 2022). The latter probably exacerbated by recent international demand in pangolins in West Africa (Emogor et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

“…Understanding drivers of species distribution across space and over time is an essential step for establishing spatial conservation priorities (Addison et al, 2013; Mouquet et al, 2015), particularly in a context of rapid anthropogenic habitat changes, as observed in Benin (Djaouga et al, 2021; Mama et al, 2013; Padonou et al, 2017). In this context, the long‐term persistence of pangolins may be negatively affected by infrastructure development (e.g., road networks), deforestation, and land cover changes, but also positively by the natural permeability of the landscape to dispersing individuals (e.g., watercourses).…”

Section: Introductionmentioning

confidence: 99%

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Modeling population extirpation rates of white‐bellied and giant pangolins in Benin using validated local ecological knowledge

Zanvo

Djagoun

Gaubert

et al. 2023

Conservat Sci and Prac

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Pangolins are globally threatened by unsustainable hunting for local use and illegal international trade, plus habitat loss. In Benin (West Africa), white‐bellied and giant pangolins have experienced a contraction in their distribution areas and population decline during the last two decades. To better understand the factors underlying declines in these species, we investigated extirpation rates of populations over the last 20 years. Because pangolins are elusive species difficult to monitor by standard methods, the status of populations has been assessed through a local ecological knowledge (LEK) approach. We collected information on persistence or extirpation status of pangolins from 156 localities. A binomial model was built to predict population persistence probability as a function of past and ongoing landscape changes, initial abundance (1998), human pressures, and density of the protected area network. The LEK‐based model was highly accurate (97% correct classification rate) in predicting the presence of white‐bellied pangolin in 52 localities where its presence has been confirmed independently. According to model outputs, persistence probability of pangolins is positively related to distance to main road, initial population abundance, and negatively related to deforestation, shrinkage of favorable habitat, and distance to protected areas. When those factors are controlled for, the white‐bellied pangolin has a higher probability of persistence than the giant pangolin. Even assuming no further habitat change, the distribution area of the white‐bellied pangolin is predicted to keep decreasing against an unavoidable extinction of the giant pangolin in Benin in the next two decades. Besides validating the usefulness of LEK as a population assessment method, this study emphasizes that, despite a demonstrated positive effect of protected areas, the current situation is not sustainable for pangolins and calls for urgent conservation actions to stop or reduce overhunting.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling population extirpation rates of white‐bellied and giant pangolins in Benin using validated local ecological knowledge

Zanvo

Djagoun

Gaubert

et al. 2023

Conservat Sci and Prac

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“…Other recent studies report a decline in national forest cover, which fell from 31.6% in 1990 to 30.6% in 2015 (Biaou et al, 2019;FAO, 2018). For Djaouga et al (2021) between 2005 and 2015, the deforestation rate for the entire Alibori department was 1.83% per year, including 0.70% in protected areas. Thus, 14.96% of the total area of the department is affected by deforestation.…”

Section: Discussionmentioning

confidence: 99%

“…Other similar studies in part of the basin, or in the region have shown that the regression of vegetation types is in favour of anthropogenic formations such as farms and fallows, bare soil, and settlements. Based on diachronic studies (Avakoudjo et al, 2014;Djaouga et al, 2021;Issiaka et al, 2016;Issiako & Arouna, 2018;Kouta & Imorou, 2019) respectively in Benin's Park W, Karimama District, Sudano-Guinean Zone, Alibori Upper Basin and Cotton, there is a correlation between the economic activities of the study area and vegetation regression.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal dynamics of land use and land cover in the Alibori basin in Northern Benin Republic (West Africa)

Alamou,

Arouna,

Oloukoi

2023

Geoplanning J. Geomatics Plann.

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Forest ecosystems of the Alibori basin are subject to multiple anthropogenic pressures witch therefore modify their land use and their land cover. This research aims at analyzing the spatio-temporal dynamics of land use and land cover in the Alibori basin in Northern Benin. The methodological approach used is based on the diachronic analysis of land cover from Landsat 2, 7, and 8 satellite images acquired respectively in 1980, 2000, and 2020, and the evaluation of land cover change parameters (conversion rate, level of deforestation, intensity and speed of change of land cover units). The results obtained reveal that the number of classes has increased from 8 to 9 with the appearance of plantations between 1980 and 2000. Between 1980 and 2020 the basin recorded a degradation of forest formations and an anthrogenization of savannah formations. The intensity and speed of loss of area are quite rapid in dense dry forests, open forests, and wooded savannahs between 1980 and 2020. The average rate of deforestation decreased from 1.27% annually between 1980 and 2000 to 1.26% annually between 2000 and 2020.

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“…La littérature indique une large utilisation de la télédétection dans l'analyse des changements spatio-temporels de l'occupation des terres à travers les données géospatiales. Cette méthode est très courante d'utilisation notamment par les institutions intéressées par la gestion des ressources végétales [26]. Elle a été utilisée pour analyser l'impact de la dynamique de l'occupation du sol sur les berges dans la vallée du fleuve Niger au Bénin [27].…”

Section: Introductionunclassified

Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

Sidibé,

Aoudji,

Moumouni

et al. 2024

RIG

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Land use dynamics is a prerequisite for identifying natural resource management constraints, the evolution of agrarian practices and population growth. The objective of this research is to improve knowledge of the dynamics of agricultural land use in the dryland (Cinzana) and cotton (Kléla) areas of Mali. The methodology used consisted of planimetric data collection and diachronic analysis using Landsat TM (Thematic Mapper) satellite images from 2000 and OLI (Operational Land Image) from 2020. Degradation and deforestation rates of natural formations were calculated on the one hand, and on the other hand, the speed and intensity of changes were evaluated using the Pontius matrix22 and intensity analysis programs from the transition matrix. The results of the diachronic analysis revealed a clear increase in the area of anthropogenic formations, especially fields and fallow land, at the expense of natural formations. In Cinzana, this was reflected in an overall increase in the area of anthropogenic formations of 45% (i.e., 2.30% per year) and an overall reduction of 45.15% (2.26% per year) in the area of natural units. In Kléla, there was an overall increase of 131% (i.e., 6.54% per year) in the area of fields and fallow land to the detriment of natural formations, which underwent a reduction of 95% (i.e., 4.76% per year) between 2000 and 2020. Definitely, the evolution of landscape units in the research area between 2000 and 2020 points to excessive anthropization of natural formations, which could compromise the sustainability of these formations, with a risk to ecosystem services and agricultural productivity lost. The study recommends the use of agro-ecological practices, and the facilitation of access to agricultural technologies and support services with a view to agricultural intensification. Policy measures to promote an agro-ecological transition should be encouraged.

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Cartographie de la déforestation dans le département de l'Alibori (nord du Benin) grâce aux images satellitaires SPOT

Cited by 4 publications

References 8 publications

Modeling population extirpation rates of white‐bellied and giant pangolins in Benin using validated local ecological knowledge

Modeling population extirpation rates of white‐bellied and giant pangolins in Benin using validated local ecological knowledge

Spatio-temporal dynamics of land use and land cover in the Alibori basin in Northern Benin Republic (West Africa)

Dynamiques Spatio-Temporelles de l’Occupation des Terres dans les Zones de Production Cotonnière et Céréalière au Mali

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