全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Monitoring Forest Recovery in Protected Forests of Northern C?te d’Ivoire Using Landsat Imagery and Intensity Change Analysis

DOI: 10.4236/ars.2022.112002, PP. 17-37

Keywords: Forest Degradation, Reforestation, Forest Cover Monitoring, Intensity Change Analysis, Desertification

Full-Text   Cite this paper   Add to My Lib

Abstract:

In this paper, the initiatives of reforestation of the national forests of the North of the Côte d’Ivoire were examined using geomatics and the analysis of change of intensity by taking the case of the protected Forest of Badénou (PFB). A spatial analysis based on multi-spectral and multi-temporal Landsat imagery was carried out to assess land cover changes in the (PFB) over the past two decades and determine whether patterns of change in terms of the intensity of gains/losses of each of the land cover classes were active or dormant between the period before (2000-2013) and after (2013-2019) the reforestation initiative. Five main classes were identified: forest (dry deciduous and gallery forests), tree savannah, shrub/grassy savannah (including agricultural lands), bare lands (bare soils and degraded land areas), and water course. All classes were satisfactorily classified, with an excellent producer’s and user’s and overall accuracies and very good Kappa coefficients. The results showed that between 2000 and 2019, the forest cover in the PFB increased from 7778 ha to 5054 ha, a decrease was marked between 2000 and 2013 of approximately 60% compared to its size in 2000, while a slight increase between 2013 and 2019 (4645 ha to 5054 ha) i.e. around 9%) certainly due to the reforestation since 2016. As for the annual intensities of change for each class in both study periods, changes (gain or loss) in forest and tree savanna were relatively dormant after reforestation, while annual bare land gain was relatively active and marked, indicating that degradation of forests remains a threat to the sustainability of the PFB. Forest degradation has occurred mainly in the eastern parts of the PFB, while the central parts have regained more tree cover. These results can help identify conservation and restoration priorities and improve the overall management of the PFB.

References

[1]  Rao, K.S. and Pant, R. (2001) Land Use Dynamics and Landscape Change Pattern in a Typical Micro Watershed in the Mid Elevation Zone of Central Himalaya, India. Agriculture, Ecosystems & Environment, 86, 113-124.
https://doi.org/10.1016/S0167-8809(00)00274-7
[2]  Ngono, F.A. (2017) La forêt, un patrimoine commun de l’humanité? Réflexion sur les conflits de représentations de la forêt à l’aune de sa patrimonialisation. éthique Publique, 19, 2999.
https://doi.org/10.4000/ethiquepublique.2999
[3]  FAO (2018) The State of the World’s Forests 2018—Forest Pathways to Sustainable Development. FAO (Food and Agriculture Organization of the United Nations), Rome, 139.
[4]  Wright, S.J. (2005) Tropical Forests in a Changing Environment. Trends in Ecology & Evolution, 20, 553-560.
https://doi.org/10.1016/j.tree.2005.07.009
[5]  Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R., et al. (2013) High-Resolution Global Maps of 21st-Century Forest Cover Change. Science, 342, 850.
https://doi.org/10.1126/science.1244693
[6]  MINEDD (2016) Plan d’Investissement Forestier de Côte d’Ivoire. Ministère de l’Environnement et du Développement Durable (MINEDD), République de Côte d’Ivoire, Abidjan.
[7]  Ahammad, R., Stacey, N., Eddy, I.M.S., Tomscha, S.A. and Sunderland, T.C.H. (2019) Recent Trends of Forest Cover Change and Ecosystem Services in Eastern Upland Region of Bangladesh. Science of the Total Environment, 647, 379-389.
https://doi.org/10.1016/j.scitotenv.2018.07.406
[8]  FAO (2010) Global Forest Resource Assessment 2010 Main Report. FAO Forestry Paper 163, Food and Agriculture Organization of the United Nations (FAO), Rome.
[9]  Andon, N.G.S. (2010) évaluation de la politique de protection forestière domaniale de la Côte d’Ivoire à partir d’outils géomatiques: Cas du parc national de la Marahoué. Université du Québec à Montréal, Montréal.
[10]  Andon, N.S., Alla, K.A. and Kouassi, K.S. (2018) Dynamique du couvert forestier de la Forêt classée du Mont Korhogo en Côte d’Ivoire par une approche de télédétection. Revue des Sciences Sociales, 18, 28-42.
[11]  Grassi, G., House, J., Dentener, F., Federici, S., den Elzen, M. and Penman, J. (2017) The Key Role of Forests in Meeting Climate Targets Requires Science for Credible Mitigation. Nature Climate Change, 7, 220-226.
https://doi.org/10.1038/nclimate3227
[12]  Mackey, B., Kormos, C.F., Keith, H., Moomaw, W.R., Houghton, R.A., Mittermeier, R.A., Hole, D. and Hugh, S. (2020) Understanding the Importance of Primary Tropical Forest Protection as a Mitigation Strategy. Mitigation and Adaptation Strategies for Global Change, 25, 763-787.
https://doi.org/10.1007/s11027-019-09891-4
[13]  Huang, J., Pontius, R.G., Li, Q. and Zhang, Y. (2012) Use of Intensity Analysis to Link Patterns with Processes of Land Change from 1986 to 2007 in a Coastal Watershed of Southeast China. Applied Geography, 34, 371-384.
https://doi.org/10.1016/j.apgeog.2012.01.001
[14]  Soro, T.D., Kouakou, B.D., Kouassi, E.A., Soro, G., Kouassi, A.M., Kouadio, K.E., Yéi, M.-S.O. and Soro, N. (2013) Hydroclimatologie et dynamique de l’occupation du sol du bassin versant du Haut Bandama à Tortiya (Nord de la Côte d’Ivoire). VertigO, 13, 14468.
https://doi.org/10.4000/vertigo.14468
[15]  Vittek, M., Brink, A., Donnay, F., Simonetti, D. and Desclée, B. (2014) Land Cover Change Monitoring Using Landsat MSS/TM Satellite Image Data over West Africa between 1975 and 1990. Remote Sensing, 6, 658-676.
https://doi.org/10.3390/rs6010658
[16]  Sangne, C.Y., Barima, Y.S.S., Bamba, I. and N’Doumé, C.-T.A. (2015) Dynamique forestière post-conflits armés de la Forêt classée du Haut-Sassandra (Côte d’Ivoire). VertigO, 15, 16784.
https://doi.org/10.4000/vertigo.16784
[17]  Tra Bi, Z.A., Noufé, D., Kamagaté, B., Effebi, K.R., N’tain, Y.J., Diallo, S., Nguetta, F., Hela, K., Goné, D.L., Louis, J. and Séguis, L. (2019) Statistique appliquée aux images NOAA pour le suivi du couvert végétal des bassins versants d’Aghien et de la Mé. VertigO—la revue électronique en sciences de l’environnement [En ligne].
https://doi.org/10.4000/vertigo.24911
http://journals.openedition.org/vertigo/24911
[18]  Ceccherini, G., Duveiller, G., Grassi, G., Lemoine, G., Avitabile, V., Pilli, R. and Cescatti, A. (2020) Abrupt Increase in Harvested Forest Area over Europe after 2015. Nature, 583, 72-77.
https://doi.org/10.1038/s41586-020-2438-y
[19]  Zida, W.A., Traoré, F., Bationo, B.A. and Waaub, J.-P. (2020) Dynamics of Woody Plant Cover in the Sahelian Agroecosystems of the Northern Region of Burkina Faso since the 1970s-1980s Droughts. Canadian Journal of Forest Research, 50, 659-669.
https://doi.org/10.1139/cjfr-2019-0247
[20]  Khalile, L., Rhinane, H., Kaoukaya, A. and Lahlaoi, H. (2018) Forest Cover Monitoring and Change Detection in Nfifikh Forest (Morocco). Journal of Geographic Information System, 10, 219-233.
https://doi.org/10.4236/jgis.2018.102011
[21]  Kouassi, K.J.L. (2018) Suivi de la dynamique de l’occupation du sol en Côte d’Ivoire. éditions Universitaire Européennes, Rīgā, 80.
[22]  Pontius, R.G., Gao, Y., Giner, N.M., Kohyama, T., Osaki, M. and Hirose, K. (2013) Design and Interpretation of Intensity Analysis Illustrated by Land Change in Central Kalimantan, Indonesia. Land, 2, 351-369.
https://doi.org/10.3390/land2030351
[23]  Braimoh, A.K. (2006) Random and Systematic Land-Cover Transitions in Northern Ghana. Agriculture, Ecosystems & Environment, 113, 254-263.
https://doi.org/10.1016/j.agee.2005.10.019
[24]  Alo, C.A. and Pontius, R.G. (2008) Identifying Systematic Land-Cover Transitions Using Remote Sensing and GIS: The Fate of Forests inside and outside Protected Areas of Southwestern Ghana. Environment and Planning B: Urban Analytics and City Science, 35, 280-295.
https://doi.org/10.1068/b32091
[25]  Aldwaik, S.Z. and Pontius, R.G. (2012) Intensity Analysis to Unify Measurements of Size and Stationarity of Land Changes by Interval, Category, and Transition. Landscape and Urban Planning, 106, 103-114.
https://doi.org/10.1016/j.landurbplan.2012.02.010
[26]  Diwediga, B., Agodzo, S., Wala, K. and Le, Q.B. (2017) Assessment of Multifunctional Landscapes Dynamics in the Mountainous Basin of the Mo River (Togo, West Africa). Journal of Geographical Sciences, 27, 579-605.
https://doi.org/10.1007/s11442-017-1394-4
[27]  Koglo, Y.S., Gaiser, T., Agyare, W.A., Sogbedji, J.M. and Kouami, K. (2019) Implications of Some Major Human-Induced Activities on Forest Cover Using Extended Change Matrix Quantity and Intensity Analysis Based on Historical Landsat Data from the Kloto District, Togo. Ecological Indicators, 96, 628-634.
https://doi.org/10.1016/j.ecolind.2018.09.042
[28]  Traoré, F., Bonkoungou, J., Compaoré, J., Kouadio, L., Wellens, J., Hallot, E. and Tychon, B. (2019) Using Multi-Temporal Landsat Images and Support Vector Machine to Assess the Changes in Agricultural Irrigated Areas in the Mogtedo Region, Burkina Faso. Remote Sensing, 11, 1442.
https://doi.org/10.3390/rs11121442
[29]  ITTO (2013) Réhabilitation des forêts classées dégradées du Mont Korhogo, de Foumbou et de Badenou au Nord de la Côte d’Ivoire avec la participation des populations riveraines. International Tropical Timber Organization (ITTO), Rapport de proposition de projet. 47 p.
[30]  Kone, D., Ouattara, N.D., Iritie, B.M. and Wandan, E.N. (2019) Caractéristiques structurales et importance relative de la flore ligneuse autour de deux ruchers installés dans la forêt classée de Badenou (Nord de la Côte d’Ivoire). International Journal of Innovation and Applied Studies, 26, 1052-1065.
[31]  Yaokokore-Beibro, H.K., Kassé, B.K., Soulemane, O., Koue-Bi, M.T., Kouassi, P.K. and Foua-Bi, K. (2010) Ethnozoologie de la faune mammalogique de la Forêt classée de Badénou (Korhogo, Côte d’Ivoire). Agronomie Africaine, 22, 185-193.
https://doi.org/10.4314/aga.v22i2.68366
[32]  Desjardins, R. (2000) La télédétection: Perspective analytique. éditions ESTEM, Paris.
[33]  Mas, J.F. (2000) Une revue des méthodes et des techniques de télédétection du changement. Canadian Journal of Remote Sensing, 26, 349-362.
https://doi.org/10.1080/07038992.2000.10874785
[34]  Congedo, L. (2016) Semi-Automatic Classification Plugin Documentation. Release 6.0.1.1. Technical report.
[35]  Shalaby, A. and Ryutaro, T. (2007) Remote Sensing and GIS for Mapping and Monitoring Land Cover and Land-Use Changes in the Northwestern Coastal Zone of Egypt. Applied Geography, 27, 28-41.
https://doi.org/10.1016/j.apgeog.2006.09.004
[36]  Landis, J.R. and Koch, G.G. (1977) The Measurement of Observer Agreement for Categorical Data. Biometrics, 33, 159-174.
https://doi.org/10.2307/2529310
[37]  Congalton, R.G. (1991) A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data. Remote Sensing of Environment, 37, 35-46.
https://doi.org/10.1016/0034-4257(91)90048-B
[38]  Congalton, R.G. and Green, K. (2009) Assessing the Accuracy of Remotely Sensed Data: Principles and Practices. Second Edition, CRC/Taylor & Francis, Boca Raton, 200.
https://doi.org/10.1201/9781420055139
[39]  Olofsson, P., Foody, G.M., Herold, M., Stehman, S.V., Woodcock, C.E. and Wulder, M.A. (2014) Good Practices for Estimating Area and Assessing Accuracy of Land Change. Remote Sensing of Environment, 148, 42-57.
https://doi.org/10.1016/j.rse.2014.02.015
[40]  Chalifoux, S., Nastev, M., Lamontagne, C. and Latifovic, R. (2006) Cartographie de l’occupation et de l’utilisation du sol par imagerie satellitaire Landsat en hydrogéologie. Télédétection, 6, 9-17.
[41]  Pontius, R.G.J. and Khallaghi, S. (2019) Intensity. Analysis: Intensity of Change for Comparing Categorical Maps from Sequential in Tervals. R Package Version 0.1.6.
[42]  R Core Team (2020) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
[43]  Streiner, D.L. and Norman, G.R. (2003) Health Measurement Scales: A Practical Guide to Their Development and Use. 3rd Edition, Oxford University Press, Oxford, 296.
[44]  ESRI (2016) ArcGIS for Desktop 10.5. Environmental Systems Research Institute, Redlands.
[45]  Poro Regional Council. Lutte contre l’orpaillage dans les forêts classées.
http://www.afriquegreenside.com/environnement-un-reseau-dorpailleurs-clandestins-demantele-dans-la-foret-classee-de-badenou
[46]  Andon, N.S. and Alla, K.A. (2016) La protection forestière dans les régions du nord de la Côte d’Ivoire: Le cas de la station forestière de Kamonon dans la Région du Poro. Ahoho, Revue de Géographie de Lomé, 16, 176-182.
[47]  Megevand, C. (2013) Dynamiques de déforestation dans le basin du Congo: Réconcilier la croissance économique et la protection de la forêt. The World Bank, Washington DC, 201.
https://doi.org/10.1596/978-0-8213-9827-2

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133