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GEOSPATIAL MODELLING OF FOREST CARBON STOCKS IN BURKINA FASO, WEST AFRICA
Keywords:
carbon stocks, spatial distribution, variogram, stationary process.DOI:
https://doi.org/10.17654/0972361723058Abstract
Protected areas in West Africa play a crucial role in climate change mitigation as the major carbon pools. Yet, the spatial distribution of forest carbon stocks is poorly documented, but required for forest management and carbon monitoring. Assessing the spatial distribution of aboveground biomass and carbon stocks is important for the monitoring of carbon sinks and sources within the national adaptation framework. This paper analyzes the spatial distribution of tree aboveground carbon stocks in two forests using geostatistical tools. We derived tree aboveground biomass and carbon stocks from two forests using field data of 2844 trees from 174 inventory plots. The distribution of forest carbon stocks was analyzed using geospatial modelling methods. We fitted different variogram models to carbon data and selected the best model for each forest. The best fitted model was then used to predict the spatial distribution of forest carbon stock using geostatistical analysis. The findings showed that the exponential variogram model better explains the spatial dependence of carbon stock in Bontioli forest, whereas the power variogram model better explains the spatial dependence of stock in Nazinga game ranch. The values of carbon density ranged between 10-45 Mg/ha in Nazinga to 18-35 Mg/ha in Bontioli reserve. This study provides a baseline for the geospatial modelling of forest carbon in West African ecosystems. Such studies should be extended to other forests for a better management of forest carbon in the region.
Received: May 28, 2023
Accepted: July 1, 2023
References
A. Baccini, S. J. Goetz, W. S. Walker, N. T. Laporte, M. Sun, D. Sulla Menashe, J. Hackler, P. S. A. Beck, R. Dubayah, M. A. Friedl, S. Samanta and R. A. Houghton, Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps, Nature Climate Change 2(3) (2012), 182-185.
https://doi.org/10.1038/nclimate1354
A. Baccini, W. Walker, L. Carvalho, M. Farina, D. Sulla-Menashe and R. A. Houghton, Tropical forests are a net carbon source based on aboveground measurements of gain and losses, Science 358(6360) (2017), 230-234.
http://dx.doi.org/10.1126/science.aam5962
L. B. Balima, F. G. Kouam, P. Bayen, M. Ganam, B. M. I. Nacoulma, A. Thiombiano and D. Soro, Influence of Climate and Forest Attributes on Aboveground Carbon Storage in Burkina Faso, West Africa, 2021.
https://doi.org/10.1016/j.envc.2021.100123
L. H. Balima, B. M. I. Nacoulma, P. Bayen, N. F. Kouamé and A. Thiombiano, Agricultural land uses reduce plant biodiversity and carbon storage in tropical West African savanna ecosystems: implications for sustainability, Global Ecology and Conservation 21(e0875) (2020). https://doi.org/10.1016/j.gecco.2019.e00875
L. H. Balima, B. M. I. Nacoulma, P. Bayen, K. Dimobe, F. G. Kouam and A. Thiombiano, Aboveground biomass allometric equations and distribution of carbon stocks of the African oak (Afzelia africana Sm.) in Burkina Faso, 2019. https://doi.org/10.1016/j.envc.2021.100123
D. Barro, S. Diouf and B. Kot, Geostatistical analysis with conditional extremal copulas, International Journal of Statistics and Probability 1(2) (2012), 244-249. http://dx.doi.org/10.5539/ijsp.v1n2p244
T. M. Basuki, P. E. van Laake, A. K. Skidmore and Y. A. Hussin, Allometric equations for estimating the aboveground biomass in tropical lowland Dipterocarp forests, Forest Ecology and Management 257 (2009), 1684-1694.
https://doi:10.1016/j.foreco.2009.01.027
S. L. Brown, P. Schroeder and J. S. Kern, Spatial distribution of biomass in forests of the eastern USA, Forest Ecology and Management 123(1) (1999), 81-90. https://doi.org/10.1016/S0378-1127(99)00017-1
J. Chave, C. Andalo, S. Brown, M. A. Cairns, J. Q. Chambers, D. Eamus, H. Flster, F. Fromard, N. Higuchi, T. Kira, J.-P. Lescure, B. W. Nelson, H. Ogawa, H. Puig, B. Rira and T. Yamakura, Tree allometry and improved estimation of carbon stocks and balance in tropical forests, Oecologia 145 (2005), 78-99. https://doi:0.1007/s00442-005-0100-x
J. Chave, M. Rejou Mechain, A. Burquez, E. Chidumayo, M. S. Colgan, W. B. C. Delitti, A. Duque, T. Eid, P. M. Fearnside, R. C. Goodman, M. Henry, A. Martinez-Yrizar, W. A. Mugasha, H. C. Muller-Landau, M. Mencuccini, B. W. Nelson, A. Ngomanda, E. M. Nogueira, E. OrtizMalavassi, R. Plissier, P. Ploton, C. M. Ryan, J. G. Saldarriaga and G. Vieilledent, Improved allometric models to estimate the above ground biomass of tropical trees, Global Change Biology 20 (2014), 3177-3190. https://doi:10.1111/gcb.12629
N. Cressie, Les origines du krigeage, Mathematical Geology 22 (1990), 239-252. http://dx.doi.org/10.1007/BF00889887
S. D. Dayamba, H. Djoudi, M. Zida, L. Sawadogo and L. Verchot, Biodiversity and carbon stocks in different land use types in the Sudanian Zone of Burkina Faso, West Africa, Agriculture, Ecosystems and Environment 216 (2016), 61-72. http://dx.doi.org/10.1016/j.agee.2015.09.023
K. Dimobe, S. Kuyah, Z. Dab, A. Amad Oudraogo and A. Thiombiano, Diversity-carbon stock relationship across vegetation types in W National Park in Burkina Faso, Forest Ecology and Management 438 (2019), 243-254.
https://doi.org/10.1016/j.foreco.2019.02.027
K. Dimobe, D. Goetze, A. Ouedraogo, S. Mensah, K. Akpagana, S. Porembski and A. Thiombiano, Aboveground biomass allometric equations and carbon content of the shea butter tree (Vitellaria paradoxa CF Gaertn., Sapotaceae) components in Sudanian savannas (West Africa), Agroforestry Systems 71(3) (2018). https://doi.org/10.1007/s10457018-0213-y
A. N. Djomo, N. Picard, A. Fayolle, M. Henry, A. Ngomandan, P. Ploton, J. McLellan, J. Saborowski, I. Adamou and P. Lejeune, Tree allometry for estimation of carbon stocks in African tropical forests, Forestry 89 (2016), 446-455. https://doi.org/10.1093/forestry/cpw025
X. Emery, Krigeage multigaussien simple et ordinaire pour l’estimation des réserves récupérables, Géologie Mathématique 37 (2005), 295-319.
https://doi.org/10.1007/s11004-005-1560-6
A. Fayolle, J.-L. Doucet, J.-F. Gillet, N. Bourland and P. Lejeune, Tree allometry in Central Africa: testing the validity of pantropical multi-species allometric equations for estimating biomass and carbon stocks, Forest Ecology and Management 305 (2013), 29-37. https://doi:10.1016/j.foreco.2013.05.036
M. Ganamé, P. Bayen, I. Ouédraogo, L. H. Balima and A. Thiombiano, Allometric models for improving aboveground biomass prediction in West African Savanna ecosystems, Trees, Forests and People, 2022.
https://doi.org/10.1016/j.tfp.2021.100077
M. Ganamé, P. Bayen, K. Dimobe, I. Ouédraogo and A. Thiombiano, Aboveground biomass allocation, additive biomass and carbon sequestration models for Pterocarpus erinaceus Poir, in Burkina Faso, Heliyon 6 (2020). https://doi.org/10.1016/j.heliyon.2020.e03805
H. K. Gibbs, S. Brown, J. O. Niles, A. Jonathan and J. A. Foley, Monitoring and estimating tropical forest carbon stocks: making REDD a reality, Environmental Research Letters 2 (2007), 045023. https://doi:10.1088/17489326/2/4/045023
M. Henry, N. Picard, C. Trotta, R. Manlay, R. Valentini, M. Bernoux and L. Saint-André, Estimating tree biomass of sub-Saharan African forests: A review of available allometric equations, Silva Fennica 45 (2011), 477-569.
https://doi.org/10.14214/sf.38
M. Henry, A. Besnard, W. A. Asante, J. Eshun, S. A. Adu-Bredu, R. Valentini, M. Bernoux and L. Saint-André, Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa, For. Ecol. Manag. 260 (2010), 1375-1388. https://doi.org/10.1016/j.foreco.2010.07.040
R. A. Houghton, J. I. House, J. Pongratz, G. R. van der Werf, R. S. DeFries, M. C. Hansen, C. Le Quéré and N. Ramankutty, Carbon emissions from land use and land-cover change, Biogeosciences 9(12) (2012), 5125-5142.
https://doi.org/10.5194/bg-9-5125-2012
S. Kuyah, J. Dietz, C. Muthuri, R. Jamnadass, P. Mwangi, R. Coe and H. Neufeldt, Allometric equations for estimating biomass in agricultural landscapes, Agriculture, Ecosystems and Environment 158 (2012), 216-224.
http://dx.doi.org/10.1016/j.agee.2012.05.011
G. Matheron, Les concepts de base et l’évolution de la géostatistique minière, In: M. Guarascio, M. David, C. Huijbregts, eds., Advanced Geostatistics in the Mining Industry, NATO Advanced Study Institutes Series 24 (1976), 3-10.
http://doi:10.1007/978-94-010-1470-0_1
S. Mensah, O. L. Pienaar, A. Kunneke, B. du Toit, A. Seydack, E. Uhl, H. Pretzsch and T. Seifert, Height-diameter allometry in South Africa’s indigenous high forests: Assessing generic models’ performance and function forms, Forest Ecology and Management 410 (2018), 1-11.
https://doi.org/10.1016/j.foreco.2017.12.030
S. Mensah, R. Veldtman and T. Seifert, Allometric models for height and aboveground biomass of dominant tree species in South African Mistbelt forests, Southern Forests: a Journal of Forest Science 79(1) (2016), 19-30.
https://doi.org/10.2989/20702620.2016.1225187
C. Mbow, M. M. Verstraete, B. Sambou, A. T. Diaw and H. Neufeldt, Allometric models for aboveground biomass in dry savanna trees of the Sudan and Sudan Guinean ecosystems of Southern Senegal, Journal of Forest Research 19 (2013), 340-347. https://doi.org/10.1007/s10310013-0414-1
F. Ouoba, D. Barro and H. Y. Talkibing, Geostatistical analysis with copula-based models of madograms, correlograms and variograms, European Journal of Pure and Applied Mathematics 12(3) (2019), 1052-1068.
https://doi.org/10.29020/nybg.v12i3.3389
Y. Pan, R. A. Birdsey, J. Fang, R. Houghton, P. E. Kauppi, W. A. Kurz, O. L. Philips, A. Shvidenko, S. L. Lewis, J. G. Canadell, P. Ciais, R. B. Jackson, S. W. Pacala, A. D. McGuire, S. Piao, A. Rautiainen, S. Sitch and D. Hayes, A large and persistent carbon sink in the world’s forests, Science 333(6045) (2011), 988-993.
https://doi.org/10.1126/science.1201609
M. Qasim, S. Porembski, D. Sattler, K. Stein, A. Thiombiano and A. Lindner, Vegetation structure and carbon stocks of two protected areas within the South-Sudanian savannas of Burkina Faso, Environments 3(4) (2016).
https://doi.org/10.3390/environments3040025
M. Rahman, M. Islam, R. Islam and N. A. Sobuj, Towards sustainability of tropical forests: implications for enhanced carbon stock and climate change mitigation, Journal of Forest and Environmental Science 33(4) (2017), 281-294. https://doi.org/10.7747/JFES.2017.33.4.281
M. Réjou-Méchain, A. Tanguy, C. Piponiot, J. Chave and B. Hérault, Biomass: an R package for estimating aboveground biomass and its uncertainty in tropical forests, Methods in Ecology and Evolution 8 (2017), 1163-1167.
https://doi.org/10.1111/2041-210X.12753
L. Sawadogo, P. Savadogo, D. Tiveau, S. D. Dayamba, D. Zida, Y. Nouvellet, P. C. Oden and S. Guinko, Allometric prediction of aboveground biomass of eleven woody tree species in the Sudanian savanna woodland of West Africa, Journal of Forestry Research 21 (2010), 475-481. https://doi:10.1007/s11676-010-0101-4
S. Traoré, A. N. Djomo, A. K. N’guessan, B. Coulibaly, A. Ahoba, G. M. Gnahoua, E. K. N’guessan, C. Y. Adou Yao, J. K. N’Dja and N. Z. Guede, Stand structure, allometric equations, biomass and carbon sequestration capacity of Acacia Mangium Wild (Mimosaceae) in Cote d’Ivoire, Open Journal of Forestry 8 (2018), 42-60. https://doi.org/10.4236/ojf.2018.81004
K. T. Vashum and S. Jayakumar, Methods to estimate above-ground biomass and carbon stock in natural forests-a review, Ecosystem and Ecography 2(116) (2012), 1-7. https://doi.org/10.4172/2157-7625.1000116
A. E. Zanne, G. Lopez-Gonzale, D. A. Coomes, J. Ilic, S. Jansen, S. L. Lewis, R. B. Miller, N. G. Swenson, M. C. Wiemann and J. Chave, Towards a worldwide wood economics spectrum, Ecology Letters 12 (2009), 351-366.
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