Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo
The Babagulu forest region here concerns the Babagulu Forest Reserve (BFR) and its periphery. In the Democratic Republic of Congo, the forest region of Babagulu is under anthropogenic pressure, notably due to its proximity to the city of Kisangani. These anthropic pressures remain little documented...
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| Format: | Article |
| Language: | fra |
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Éditions en environnement VertigO
2020-10-01
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| Series: | VertigO |
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| Online Access: | https://journals.openedition.org/vertigo/28347 |
| _version_ | 1797223430016204800 |
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| author | Joël Masimo Kabuanga Blaise Adipalina Guguya Elvis Ngenda Okito Nicolas Maestripieri Mehdi Saqalli Vivien Rossi Léon Iyongo Waya Mongo |
| author_facet | Joël Masimo Kabuanga Blaise Adipalina Guguya Elvis Ngenda Okito Nicolas Maestripieri Mehdi Saqalli Vivien Rossi Léon Iyongo Waya Mongo |
| author_sort | Joël Masimo Kabuanga |
| collection | DOAJ |
| description | The Babagulu forest region here concerns the Babagulu Forest Reserve (BFR) and its periphery. In the Democratic Republic of Congo, the forest region of Babagulu is under anthropogenic pressure, notably due to its proximity to the city of Kisangani. These anthropic pressures remain little documented and their impacts on this forest landscape remain poorly understood. The purpose of this study is to regularly monitor the anthropization of the landscape of the RFB. The methodological approach adopted is based on techniques of remote sensing, cartography and landscape ecology. The Landsat TM (1984, 1986, 1990, 1994 and 2010), ETM + (2001 and 2005) and OLI (2015 and 2018) satellite images, all of 30m spatial resolution, were used to map the land cover in three classes (primary forest, fallow land/degraded forest and rural complex). The calculation of ten spatial indices made it possible to characterize the composition and configuration of the landscape between 1984 and 2018. These spatial indices include the number of spots, the average spot size, the perimeter density, the aggregation index, largest fragment index, landscape shape index, mean Euclidean distance to nearest neighbor and fractal dimension, variation and absolute, fractal dimension and contagion index. The results show a significant regression of the primary forest for the benefit of the anthropic classes (rural complexes and fallow land and degraded forests) outside (R²= 0.98; p |
| first_indexed | 2024-03-08T02:29:27Z |
| format | Article |
| id | doaj.art-f4d3f67447fa4433853d8cca0f93577e |
| institution | Directory Open Access Journal |
| issn | 1492-8442 |
| language | fra |
| last_indexed | 2024-04-24T13:37:06Z |
| publishDate | 2020-10-01 |
| publisher | Éditions en environnement VertigO |
| record_format | Article |
| series | VertigO |
| spelling | doaj.art-f4d3f67447fa4433853d8cca0f93577e2024-04-04T09:09:04ZfraÉditions en environnement VertigOVertigO1492-84422020-10-0120210.4000/vertigo.28347Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du CongoJoël Masimo KabuangaBlaise Adipalina GuguyaElvis Ngenda OkitoNicolas MaestripieriMehdi SaqalliVivien RossiLéon Iyongo Waya MongoThe Babagulu forest region here concerns the Babagulu Forest Reserve (BFR) and its periphery. In the Democratic Republic of Congo, the forest region of Babagulu is under anthropogenic pressure, notably due to its proximity to the city of Kisangani. These anthropic pressures remain little documented and their impacts on this forest landscape remain poorly understood. The purpose of this study is to regularly monitor the anthropization of the landscape of the RFB. The methodological approach adopted is based on techniques of remote sensing, cartography and landscape ecology. The Landsat TM (1984, 1986, 1990, 1994 and 2010), ETM + (2001 and 2005) and OLI (2015 and 2018) satellite images, all of 30m spatial resolution, were used to map the land cover in three classes (primary forest, fallow land/degraded forest and rural complex). The calculation of ten spatial indices made it possible to characterize the composition and configuration of the landscape between 1984 and 2018. These spatial indices include the number of spots, the average spot size, the perimeter density, the aggregation index, largest fragment index, landscape shape index, mean Euclidean distance to nearest neighbor and fractal dimension, variation and absolute, fractal dimension and contagion index. The results show a significant regression of the primary forest for the benefit of the anthropic classes (rural complexes and fallow land and degraded forests) outside (R²= 0.98; phttps://journals.openedition.org/vertigo/28347deforestationfragmentationland useLandsatBabagulu |
| spellingShingle | Joël Masimo Kabuanga Blaise Adipalina Guguya Elvis Ngenda Okito Nicolas Maestripieri Mehdi Saqalli Vivien Rossi Léon Iyongo Waya Mongo Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo VertigO deforestation fragmentation land use Landsat Babagulu |
| title | Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo |
| title_full | Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo |
| title_fullStr | Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo |
| title_full_unstemmed | Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo |
| title_short | Suivi de l’anthropisation du paysage dans la région forestière de Babagulu, République Démocratique du Congo |
| title_sort | suivi de l anthropisation du paysage dans la region forestiere de babagulu republique democratique du congo |
| topic | deforestation fragmentation land use Landsat Babagulu |
| url | https://journals.openedition.org/vertigo/28347 |
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