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Distribution patterns of fire regime in the Pendjari Biosphere Reserve, West Africa

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Abstract

Pendjari Biosphere Reserve (PBR), a primary component of the W-Arly-Pendjari transboundary biosphere reserve, represents the largest intact wild ecosystem and pristine biodiversity spot in West Africa. This savannah ecosystem has long been affected by fire, which is the main ecological driver for the annual rhythm of life in the reserve. Understanding the fire distribution patterns will help to improve its management plan in the region. This study explores the fire regime in the PRB during 2001–2021 in terms of burned area, seasonality, fire frequency, and mean fire return interval (MFRI) by analysing moderate resolution imaging spectroradiometer (MODIS) burned area product. Results indicated that the fire season in the PBR extends from October to May with a peak in early dry season (November–December). The last two fire seasons (2019–2020 and 2020–2021) recorded the highest areas burned in the PBR out of the twenty fire seasons studied. During the twenty years period, 8.2% of the reserve burned every 10–11 months and 11.5% burned annually. The largest part of the reserve burned every one to two years (63.1%), while 8.3% burned every two to four years, 5.8% burned every four to ten years, and 1.9% burned every ten to twenty years. Only 1.3% of the entire area did not fire during the whole study period. Fire returned to a particular site every 1.39 a and the annual percentage of area burned in the PBR was 71.9%. The MFRI (MFRI<2.00 a) was low in grasslands, shrub savannah, tree savannah, woodland savannah, and rock vegetation. Fire regime must be maintained to preserve the integrity of the PBR. In this context, we suggest applying early fire in tree and woodland savannahs to lower grass height, and late dry season fires every two to three years in shrub savannah to limit the expansion of shrubs and bushes. We propose a laissez-faire system in areas in woodland savannah where the fire frequency is sufficient to allow tree growth. Our findings highlight the utility of remote sensing in defining the geographical and temporal patterns of fire in the PBR and could help to manage this important fire prone area.

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References

  • Agee J K. 1997. Fire management for the 21st century. In: Kohm K A, Franklin J F. Creating a Forestry for the 21st Century: The Science of Ecosystem Management. Washington DC: Island Press, 191–201.

    Google Scholar 

  • Agee J K. 1998. The landscape ecology of western forest fire regimes. Northwest Science, 72: 24–34.

    Google Scholar 

  • Archibald S, Nickless A, Govender N, et al. 2010a. Climate and the inter-annual variability of fire in southern Africa: A meta-analysis using long-term field data and satellite-derived burnt area data. Global Ecology and Biogeography, 19(6): 794–809.

    Google Scholar 

  • Archibald S, Scholes R J, Roy D, et al. 2010b. Southern African fire regimes as revealed by remote sensing. International Journal of Wildland Fire, 19(7): 861–878.

    Google Scholar 

  • Archibald S, Lehmann C E, Gómez-Dans J L, et al. 2013. Defining pyromes and global syndromes of fire regimes. Proceedings of the National Academy of Sciences, 110(16): 6442–6447.

    CAS  Google Scholar 

  • Archibald S, Beckett H, Bond W J, et al. 2017. Interactions between fire and ecosystem processes. In: Cromsigt J P G M, Archibald S, Owen-Smith M. Conserving Africa’s Mega-diversity in the Anthropocene. The Hluhluwe-iMfolozi Park Story. Cambridge: Cambridge University Press, 233–264.

    Google Scholar 

  • Asgary A, Ghaffari A, Levy J. 2010. Spatial and temporal analyses of structural fire incidents and their causes: A case of Toronto, Canada. Fire Safety Journal, 45(1): 44–57.

    Google Scholar 

  • Bond W J, Archibald S. 2003. Confronting complexity: Fire policy choices in South African savanna parks. International Journal of Wildland Fire, 12(4): 381–389.

    Google Scholar 

  • Bond W J, Woodward F I, Midgley G F. 2005. The global distribution of ecosystems in a world without fire. New Phytologist, 165(2): 525–538.

    CAS  PubMed  Google Scholar 

  • Bradstock R A. 2010. A biogeographic model of fire regimes in Australia: Current and future implications. Global Ecology and Biogeography, 19(2): 145–158.

    Google Scholar 

  • Cangela A. 2014. Mapping the burning regime (2000–2012) in the Niassa National Reserve. MSc Thesis. Maputo: Eduardo Mondlane University.

    Google Scholar 

  • Chidumayo E N. 1997. Miombo Ecology and Management: An Introduction. Stockholm: Stockholm Environment Institute, 110.

    Google Scholar 

  • Chuvieco E, Roteta E, Sali M, et al. 2022. Building a small fire database for sub-Saharan Africa from Sentinel-2 high-resolution images. Science of the total Environment, 845: 157139, doi: https://doi.org/10.1016/j.scitotenv.2022.157139.

    CAS  PubMed  Google Scholar 

  • Clerici N. 2006. Monitoring and assessing fire impacts and land-cover change in tropical and subtropical ecosystems using satellite remote sensing and GIS techniques. PhD Dissertation. Parma: Università degli Studi di Parma.

    Google Scholar 

  • DeBano L F, Neary D G, Ffolliott P F. 1998. Fire’s Effect on Ecosystems. New York: Wiley, 352.

    Google Scholar 

  • Delvingt W, Heymans J C, Sinsin B. 1989. Pendjari National Park Guide. Bruxelles: CCE/Cellule de Prospective, 119.

    Google Scholar 

  • Devineau J L. 1986. Ecological impact of the recolonization of Onchocerciasis-free areas in the Burkinabe valleys (Nazinon, Nakambé, Mouhoun, Bougouriba). Final report WHO, Ouagadougou, Burkina-Faso: ORSTOM. [2022-10-18]. https://hal.ird.fr/ird-00362434v1/document.

    Google Scholar 

  • Devineau J L, Fournier A, Nignan S. 2010. Savanna fire regimes assessment with MODIS fire data: Their relationship to land cover and plant species distribution in western Burkina Faso (West Africa). Journal of Arid Environments, 74(9): 1092–1101.

    Google Scholar 

  • Dolidon H. 2007. The multiplicity of scales in the analysis of a phenomenon at the nature/society interface. The example of bushfires in West Africa. Cybergeo, 363: 4805, doi: https://doi.org/10.4000/cybergeo.4805.

    Google Scholar 

  • Eby S L, Anderson T M, Mayemba E P, et al. 2014. The effect of fire on habitat selection of mammalian herbivores: The role of body size and vegetation characteristics. Journal of Animal Ecology, 83(5): 1196–1205.

    PubMed  Google Scholar 

  • Frost P. 1996. The ecology of Miombo woodlands. In: Campbell B. The Miombo in Transition: Woodlands and Welfare in Africa. Bogor: Center for International Forestry Research (CIFOR), 11–55.

    Google Scholar 

  • Giglio L, Boschetti L, Roy D, et al. 2021. MODIS burned area product user’s guide, version 1.0. [2022-12-21]. https://modis-land.gsfc.nasa.gov/burn.html.

  • Gnonlonfoun I, Kassa B, Azihou F, et al. 2019. Perceived effects of elephants (Loxodonta africana Cuvier) presence and impacts on ecosystem services supply in the Pendjari Biosphere Reserve, West Africa. Tropical Conservation Science, 12(1): 1–13.

    Google Scholar 

  • Govender N, Trollope W, van Wilgen B. 2006. The effect of fire season, fire frequency, rainfall and management on fire intensity in savanna vegetation in South Africa. Journal of Applied Ecology, 43(4): 748–758.

    Google Scholar 

  • Gueguim C D, Tchamba N M, Fotso C R. 2018. Dynamic of spatial distribution of forest fire in the Mbam and Djerem Conservation Region (Cameroun). International Journal of Biological and Chemical Sciences, 12(2): 728–748. (in French)

    Google Scholar 

  • Houehanou T D, Assédé E S P, Habiyaremye F M, et al. 2017. Pendjari Biosphere Reserve (Benin): Guide & Lexicon for Monitoring Natural Areas: Habitats, Fauna and Fires. Belgium: Royal Belgian Institute of Natural Sciences, 141.

    Google Scholar 

  • Kasischke E S, Williams D, Barry D. 2002. Analysis of the patterns of large fires in the boreal forest region of Alaska. International Journal of Wildland Fire, 11(2): 131–144.

    Google Scholar 

  • Keane R E. 2019. Fire ecology. In: Manzello S. Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires. Cham: Springer, 1–12.

    Google Scholar 

  • Keeley J E, Rundel P W. 2005. Fire and the Miocene expansion of C4 grasslands. Ecology Letters, 8(7): 683–690.

    Google Scholar 

  • Kodandapani N, Cochrane M A, Sukumar R. 2008. A comparative analysis of spatial, temporal, and ecological characteristics of forest fires in seasonally dry tropical ecosystems in the Western Ghats, India. Forest Ecology and Management, 256(4): 607–617.

    Google Scholar 

  • Lawes M J, Adie H, Russell-Smith J, et al. 2011. How do small savanna trees avoid stem mortality by fire? The roles of stem diameter, height and bark thickness. Ecosphere, 2(4): 1–13.

    Google Scholar 

  • Lee B, Park P S, Chung J. 2006. Temporal and spatial characteristics of forest fires in South Korea between 1970 and 2003. International Journal of Wildland Fire, 15(3): 389–396.

    Google Scholar 

  • Lehmann C E R, Archibald S A, Hoffmann W A, et al. 2011. Deciphering the distribution of the savanna biome. New Phytologist, 191(1): 197–209.

    PubMed  Google Scholar 

  • Lopes M, Frison P L, Durant S M, et al. 2020. Combining optical and radar satellite image time series to map natural vegetation: Savannas as an example. Remote Sensing in Ecology and Conservation, 6(3): 316–326.

    Google Scholar 

  • Machado N G, da Silva F C P, Biudes M S. 2014. The effect of weather conditions on fire risk and the number of urban fires and hotspots in Cuiabá-MT, Brazil. Ciência Natura, 36(3): 459–469.

    Google Scholar 

  • Mariki A. 2016. Addressing forest degradation in Miombo woodland through preventive community-based early burning in Tanzania. In: Ribeiro N S, Nhantumbo I, Nangoma D, et al. Miombo Network Meeting Report: Restoring Socio-ecological and Socio-economic Relationships in the Miombo Woodlands. Maputo: Universidade Eduardo Mondlane, 1–20.

    Google Scholar 

  • Mathieu R, Main R, Roy D P, et al. 2019. The effect of surface fire in savannah systems in the Kruger National Park (KNP), South Africa, on the backscatter of C-band Sentinel-1 images. Fire, 2(3): 37, doi: https://doi.org/10.3390/fire2030037.

    Google Scholar 

  • Menges C H, Bartolo R E, Bell D, et al. 2004. The effect of savanna fires on SAR backscatter in northern Australia. International Journal of Remote Sensing, 25(22): 4857–4871.

    Google Scholar 

  • Namukonde N, Kuebler D, Ganzhorn J U. 2017. Differential effects of fire on small mammal communities in the Busanga flood plain, Zambia. Tropical Conservation Science, 10: 1–13.

    Google Scholar 

  • N’Dri A B, Gignoux J, Barot S, et al. 2014. The dynamics of hollowing in annually burnt savanna trees and its effect on adult tree mortality. Plant Ecology, 215: 27–37.

    Google Scholar 

  • Nefabas L L, Gambiza J. 2007. Fire-tolerance mechanisms of common woody plant species in a semiarid savanna in south-western Zimbabwe. African Journal of Ecology, 45(4): 550–556.

    Google Scholar 

  • Oliveira S L J, Turkman M A A, Pereira J M C. 2013. An analysis of fire frequency in tropical savannas of northern Australia, using a satellite-based fire atlas. International Journal of Wildland Fire, 22(4): 479–492.

    Google Scholar 

  • Osborne C P. 2008. Atmosphere, ecology and evolution: What drove the Miocene expansion of C4 grasslands? Journal of Ecology, 96(1): 35–45.

    PubMed  Google Scholar 

  • Pereira Jñnior A C, Oliveira S L J, Pereira J M C, et al. 2014. Modelling fire frequency in a Cerrado savanna protected area. PLoS ONE, 9(7): e102380, doi:https://doi.org/10.1371/journal.pone.0102380.

    Google Scholar 

  • R Development Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.

    Google Scholar 

  • Reich P B, Peterson D W, Wedin D A, et al. 2001. Fire and vegetation effects on productivity and nitrogen cycling across a forest-grassland continuum. Ecology, 82(6): 1703–1719.

    Google Scholar 

  • Ribeiro N S. 2007. Interactions between fires and elephants in relation to vegetation composition and structure of Miombo woodlands in northern Mozambique. PhD Dissertation. Charlottesville: University of Virginia.

    Google Scholar 

  • Ribeiro N S, Shugart H H, Washington-Allen R. 2008. The effects of fire and elephants on species composition and structure of the Niassa Reserve, northern Mozambique. Forest Ecology and Management, 255(5–6): 1626–1636.

    Google Scholar 

  • Ribeiro N S, Cangela A, Chauque A, et al. 2017. Characterization of spatial and temporal distribution of the fire regime in Niassa National Reserve, northern Mozambique. International Journal of Wildland Fire, 26(12): 1021–1029.

    Google Scholar 

  • Roy D P, Boschetti L, Justice C O, et al. 2008. The collection 5 MODIS burned area product-Global evaluation by comparison with the MODIS active fire product. Remote Sensing of Environment, 112(9): 3690–3707.

    Google Scholar 

  • Santos J R. 1985. Automatic analysis of MSS/Landsat sensor data for the evaluation of burnt areas in the installation and conservation of agricultural projects. In: Final Report. IV Plenary Meeting SELPER. Santiago: Society of Latin American Specialists in Remote Sensing (SELPER), 95–102.

    Google Scholar 

  • Scholes R J, Archer S R. 1997. Tree-grass interactions in savannas. Annual Review of Ecological Systematics, 28: 517–544.

    Google Scholar 

  • Scott A C, Bowman D M J S, Bond W J, et al. 2014. Fire on Earth: An Introduction. Chichester: Wiley, 434.

    Google Scholar 

  • Setzer A W, Pereira M C, Pereira A C. 1994. Satellite studies of biomass burning in Amazonia-some practical aspects. Remote Sensing Reviews 10(1–3): 91–103.

    Google Scholar 

  • Shannon G, Thaker M, Vanak A T, et al. 2011. Relative impacts of elephant and fire on large trees in a savanna ecosystem. Ecosystems, 14: 1372–1381.

    Google Scholar 

  • Silva P S, Bastos A, Libonati R, et al. 2019. Impacts of the 1.5°C global warming target on future burned area in the Brazilian Cerrado. Forest Ecology and Management 446: 193–203.

    Google Scholar 

  • Smith A M S, Wooster M J. 2005. Remote classification of head and backfire types from MODIS fire radiative power and smoke plume observations. International Journal of Wildland Fire, 14(3): 249–254.

    Google Scholar 

  • Sogbohossou E A, de Iongh H H, Sinsin B, et al. 2011. Human carnivore conflict around Pendjari Biosphere Reserve, northern Benin. Oryx, 45(4): 569–578.

    Google Scholar 

  • Stellmes M, Frantz D, Finckh M, et al. 2013. Fire frequency, fire seasonality, and fire intensity within the Okavango region derived from MODIS fire products. Biodiversity & Ecology, 5: 351–362.

    Google Scholar 

  • Takacs S, Buhne H S, Pettorelli N. 2021. What shapes fire size and spread in African savannahs? Remote Sensing in Ecology and Conservation, 7(4): 610–620.

    Google Scholar 

  • Tarimo B, Dick Ø B, Gobakken T, et al. 2015. Spatial distribution of temporal dynamics in anthropogenic fires in Miombo savanna woodlands of Tanzania. Carbon Balance and Management, 10: 18, doi: https://doi.org/10.1186/s13021-015-0029-2.

    PubMed  PubMed Central  Google Scholar 

  • Ullah M R, Liu X D, Al-Amin M. 2013. Spatial-temporal distribution of forest fires and fire weather index calculation from 2000 to 2009 in China. Journal of Forest Science, 59(7): 279–287.

    Google Scholar 

  • Wittenberg L, Malkinson D. 2009. Spatio-temporal perspectives of forest fires regimes in a maturing Mediterranean mixed pine landscape. European Journal of Forest Research, 128: 297–304.

    Google Scholar 

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Acknowledgements

This research was partly supported by the Royal Belgian Institute of Natural Sciences (RBINS) under the CEBios Program in Benin. We thank Dr. Mailys LOPES, who made available the latest land cover map of the Pendjari Biosphere Reserve and the reviewers for their useful comments.

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Conceptualization: Omobayo G ZOFFOUN, Etotépé A SOGBOHOSSOU; Methodology: Omobayo G ZOFFOUN, Chabi A M S DJAGOUN; Formal analysis: Omobayo G ZOFFOUN; Writing - original draft preparation: Omobayo G ZOFFOUN; Writing - review and editing: Omobayo G ZOFFOUN, Etotépé A SOGBOHOSSOU, Chabi A M S DJAGOUN; Supervision: Etotépé A SOGBOHOSSOU.

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Correspondence to Omobayo G. Zoffoun.

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Zoffoun, O.G., Djagoun, C.A.M.S. & Sogbohossou, E.A. Distribution patterns of fire regime in the Pendjari Biosphere Reserve, West Africa. J. Arid Land 15, 1160–1173 (2023). https://doi.org/10.1007/s40333-023-0027-2

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