본문 바로가기
KERD
논문KCI 등재

Impact of Land Use Land Cover Change on the Forest Area of Okomu National Park, Edo State, Nigeria

2

조회

0

다운로드

0

인용

0

참고문헌

키워드

초록

The extent of change in the Land use/Land cover (LULC) of Okomu National Park (ONP) and fringe communities was evaluated. High resolution Landsat imagery was used to identify the major vegetation cover/land use systems and changes around the national park and fringe communities while field visits/ground truthing, involving the collection of coordinates of the locations was carried out to ascertain the various land cover/land use types identified on the images, and the extent of change over three-time series (2000, 2010 and 2020). The change detection was analyzed using area calculation, change detection by nature and normalized difference vegetation index (NDVI). The result of the classification and analysis of the LULC Change of ONP and fringe communities revealed an alarming rate of encroachment into the protected area. All the classification features analyzed had notable changes from 2000-2020. The forest, which was the dominant LULC feature in 2000, covering about 66.19% of the area reduced drastically to 36.12% in 2020. Agricultural land increased from 6.14% in 2000 to 34.06% in 2020 while vegetation (degraded land) increased from 27.18% in 2000 to 38.89% in 2020. The magnitude of the change in ONP and surroundings showed the forest lost -247.136 km2 (50.01%) to other land cover classes with annual rate change of 10%, implying that 10% of forest land was lost annually in the area for 20 years. The NDVI classification values of 2020 indicate that the increase in medium (399.62 km2) and secondary high (210.17 km2) vegetation classes which drastically reduced the size of the high (38.07 km2) vegetation class. Consequent disappearance of the high forests of Okomu is inevitable if this trend of exploitation is not checked. It is pertinent to explore other forest management strategies involving community participation.

Abstract

The extent of change in the Land use/Land cover (LULC) of Okomu National Park (ONP) and fringe communities was evaluated. High resolution Landsat imagery was used to identify the major vegetation cover/land use systems and changes around the national park and fringe communities while field visits/ground truthing, involving the collection of coordinates of the locations was carried out to ascertain the various land cover/land use types identified on the images, and the extent of change over three-time series (2000, 2010 and 2020). The change detection was analyzed using area calculation, change detection by nature and normalized difference vegetation index (NDVI). The result of the classification and analysis of the LULC Change of ONP and fringe communities revealed an alarming rate of encroachment into the protected area. All the classification features analyzed had notable changes from 2000-2020. The forest, which was the dominant LULC feature in 2000, covering about 66.19% of the area reduced drastically to 36.12% in 2020. Agricultural land increased from 6.14% in 2000 to 34.06% in 2020 while vegetation (degraded land) increased from 27.18% in 2000 to 38.89% in 2020. The magnitude of the change in ONP and surroundings showed the forest lost -247.136 km2 (50.01%) to other land cover classes with annual rate change of 10%, implying that 10% of forest land was lost annually in the area for 20 years. The NDVI classification values of 2020 indicate that the increase in medium (399.62 km2) and secondary high (210.17 km2) vegetation classes which drastically reduced the size of the high (38.07 km2) vegetation class. Consequent disappearance of the high forests of Okomu is inevitable if this trend of exploitation is not checked. It is pertinent to explore other forest management strategies involving community participation.

참고문헌 (23)

  1. Admasu S, "Impact of land use land cover changes on ecosystem service values in the Dire and Legedadi watersheds, central highlands of Ethiopia: implication for landscape management decision making", Heliyon, 10, pp.e15352~ (2023)
  2. Aigbe HI, "Differential vegetation status of Okomu National Park and Okomu Forest Reserve, Edo State, Nigeria", Afr J Agric Res, 17, pp.682~689 (2021)
  3. "Case study 2: multipurpose forest management for bushmeat production: a success story from West Africa" (2011)[URL]
  4. A Land Use and Land Cover Classification System for Use with Remote Sensor Data, "Anderson JR", United States Government Printing Office, 28~, pp.Geological Survey Professional Paper 964 (1976)
  5. Atmopawiro VP, "Detection of single tree felling in the tropical forest using optical satellite data and image classification techniques", MS, pp.2004
  6. Bruner AG, "Effectiveness of parks in protecting tropical biodiversity", Science, 291, pp.125~128 (2001)
  7. Calders K, "Remote sensing technology applications in forestry and REDD+", Forests, 11, pp.188~ (2020)
  8. Fawzi NI, "Measuring deforestation using remote sensing and its implication for conservation in Gunung Palung National Park, West Kalimantan, Indonesia", IOP Conf Ser Earth Environ Sci, 149, pp.012038~ (2018)
  9. Global Forest Resources Assessment 2015: How are the world’s forests changing?, "Food and Agriculture Organization of the United Nations (FAO).", FAO, ~ (2016)
  10. Frohn RC, "Satellite remote sensing of isolated wetlands using object-oriented classification of Landsat-7 data", Wetlands, 29, pp.931~941 (2009)
  11. Ikusemoran M, "Landuse and landcover change detection in the Kainji Lake Basin Nigeria using remote sensing and GIS approach", Bayero J Pure Appl Sci, 2, pp.83~90 (2009)
  12. 2004 IUCN Red List of Threatened Species: A Global Species Assessment, "International Union for Conservation of Nature(IUCN)", IUCN, ~ (2004)
  13. Jande JA, "Land use", landcover change detection mapping of Apa local government area, Benue State, Nigeria, 2018, pp.10, 69~80
  14. Kraxner F, "Mapping certified forests for sustainable management-a global tool for information improvement through participatory and collaborative mapping", For Policy Econ, 83, pp.10~18 (2017)
  15. Mengistu DA, "Application of remote sensing and GIS inland use", land cover mapping and change detection in a part of South Western Nigeria, 2007, pp.1, 99~109
  16. Nageswara Rao K, "Land use capability studies from aerial photo interpretation-a case study from Krishna Delta, India", Geogr Rev India, 43, pp.226~238 (1981)
  17. Obayelu AE, "Assessment of land use dynamics and the status of biodiversity exploitation and preservation in Nigeria", J Adv Dev Econ, 3, pp.32~47 (2014)
  18. "Nigeria National Park Service" (2010)[URL]
  19. Oladejo SO, "Ecological and biodiversity status of Okomu National Park, Edo State Nigeria (case study: the white throated guenon)", Ecol Conserv Sci, 1 (2021)
  20. Othow OO, "Analyzing the rate of land use and land cover change and determining the causes of forest cover change in Gog district, Gambella Regional State, Ethiopia", J Remote Sens GIS, 6, pp.1000219~ (2017)
  21. Pant DN, "Forest Vegetation", Land use Change Detection and Impact Assessment in Part of Western Himalaya, 2000, pp.38, 1111~1118
  22. "2009: Second warmest year on record; end of warmest decade" (2010)[URL]
  23. Zaitunah A, "Analysis of physical factors affecting single tree felling of illegal logging using remote sensing and GIS (a case study in Labanan Concession, East Kalimantan, Indonesia)", MS, pp.2004

관련 논문AI추천

Assessment of Land Cover Changes from Protected Forest Areas of Satchari National Park in Bangladesh and Implications for ConservationKazi Mohammad Masum, Md. Mehedi Hasan산림과학연구소 · Journal of forest and environmental science2020 · 제36권 제3호Trends in Temporal Forest Cover Change and Its Degradation in Benchi-Sheko Zone, Southwestern EthiopiaAyalew Zeleke, Bedassa Regassa, Seyoum Robo, Tamirat Wato, Yideg Mamo산림과학연구소 · Journal of forest and environmental science2024 · 제40권 제3호Analysis of Factors Influencing Land Use Typologies among Farming Households in Akinyele Municipality of Oyo StateAdebayo Samson Adeoye산림과학연구소 · Journal of forest and environmental science2024 · 제40권 제3호Behaviour of Vegetation Health as a Response to Climate and Soil Dynamics between 2000 and 2015 in Different Ecological Zones of Rivers State, NigeriaOlatunde Sunday Eludoyin, Olawale Oluwamuyiwa Aladesoun산림과학연구소 · Journal of forest and environmental science2021 · 제37권 제4호Assessment of Tree Species Diversity, Aboveground Biomass and Diameter Distribution Modelling in Omo Biosphere Reserve, NigeriaPatricia Oladayo Shomide, Peter Oluwagbemiga Ige, Tolulope Ibraheem Omilabu, Winsome Omodiagbe Okofoh산림과학연구소 · Journal of forest and environmental science2025 · 제41권 제4호Impact of Quarrying Activities on the Surrounding Vegetation in Ogun State, NigeriaIsiaka Adio Hassan산림과학연구소 · Journal of forest and environmental science2022 · 제38권 제4호

이 간행물의 다른 논문 (6건)