2021
DOI: 10.19182/bft2020.346.a36295
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Vulnérabilité des terres des écosystèmes du domaine soudanien au Bénin de 1995 à 2015

Abstract: Le Nord du Bénin abrite 92,5 % de la couverture forestière nationale, principalement constituée des réserves de faune et de forêts classées, destinées à la conservation de la biodiversité. Ces zones du domaine classé, pourtant dotées pour la plupart de plans d’aménagement et d’un système de surveillance qui devraient limiter la dégradation du milieu, sont soumises à un fort taux de régression de la couverture forestière, dû aux pressions anthropiques. Cette étude vise à analyser la vulnérabilité des formations… Show more

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Cited by 12 publications
(9 citation statements)
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“…The rate of change (Tv) used by Ahononga et al (2020) was used to assess the evolution of land cover units.…”
Section: Land Use Change In Uvira Between 1995 and 2021mentioning
confidence: 99%
“…The rate of change (Tv) used by Ahononga et al (2020) was used to assess the evolution of land cover units.…”
Section: Land Use Change In Uvira Between 1995 and 2021mentioning
confidence: 99%
“…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%
“…The classification of the satellite images was executed by categorizing them into nine distinct land cover classes, namely agriculture, woodland, dense forest, gallery forest, settlements, waterbodies, savannah, baresoil, and rocky terrain. Typically, satellite image classification relies on a fusion of remotely sensed data with ground-based reference data or aerial photographs captured in close temporal proximity to the satellite pass [42,43]. However, in the context of Benin, the availability of such reference data was limited, necessitating the utilization of very high-resolution imagery sourced from various platforms within Google Earth [47] as the reference dataset for our classification efforts.…”
Section: Land Cover Classification and Assessment Of The Changesmentioning
confidence: 99%
“…Par exemple, la fréquence de prélèvement des individus matures et l'émondage régulier des pieds du samba lors des rituels du culte Orisha Oro peuvent exacerber la fragmentation de ses populations, empêcher sa régénération naturelle et conduire à terme à son extirpation des forêts vouées à sa préservation. L'effet de l'exploitation sur la structure et la stabilité des populations de plantes importantes a été mis en évidence (Gaoué et Ticktin, 2007 ;Assogba et al, 2020 ;Ahononga et al, 2020). La conséquence écologique la plus directe de l'extraction des organes d'une espèce est l'altération des taux de survie, de croissance et de reproduction des individus de l'espèce (Gaoué et Ticktin, 2007).…”
Section: Introductionunclassified