IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v133y2021ics1389934121002318.html
   My bibliography  Save this article

Prediction of forest parameters and carbon accounting under different fire regimes in Miombo woodlands, Niassa Special Reserve, Northern Mozambique

Author

Listed:
  • Ribeiro, N.S.
  • Armstrong, Amanda Hildt
  • Fischer, Rico
  • Kim, Yeon-Su
  • Shugart, Herman Henry
  • Ribeiro-Barros, Ana I.
  • Chauque, Aniceto
  • Tear, T.
  • Washington-Allen, Robert
  • Bandeira, Romana R.

Abstract

Miombo woodlands are the most extensive dry forest type in southern Africa, covering ca. 1.9 million km2 across seven countries. Fire is a key ecosystem process that has structured miombo for the last 200,000 years. However, how fires affect the ecosystem's functioning is not well understood. In this study, we used the individual-based forest model called FORMIND to analyze the carbon balance in the miombo woodlands of Niassa Special Reserve (NSR), northern Mozambique. The 42.000 km2 NSR represents the most important conservation area in Mozambique (~31% of the total conservation area in the country) and of miombo woodlands worldwide. Long-term inventory data from 2004 to 2019 for NSR were used to calibrate FORMIND. The primary ecosystem processes of this model are tree growth, mortality, regeneration, and competition. Fire is set as one of the main factors that affect these processes, after the woodland reaches an equilibrium at 200 years of age. We also calculated the Net Present Value (NPV) of carbon credits resulting from altering the fire regime (e.g., reducing or eliminating fires). The FORMIND model successfully reproduced important characteristics of the woodlands (aboveground biomass, stem size distribution and basal area). NPV estimates of above-ground woody biomass carbon stocks were highly dependent on the woodland age. The maximum NPV estimates were generated for a 30-year project starting with 200 year old woodlands (the current forest age) at 192–1339 USD based on a realistic range of carbon values (i.e., 3–20 USD MgCO2e−1). While fire plays an important role in miombo woodlands by reducing stock and changing species composition, its effects on the capacity of the woodland to mitigate the effects of climate change varies depending on the age of stands. Our results show that FORMIND model reliably reproduce the field inventory data, thus can be used to improve carbon accounting standards. We recommend the development of a fire management system to sustain the miombo woodlands of NSR for multiple reasons. NSR is a globally significant protected area, but perhaps more importantly it could become a regional example for how to improve miombo woodland management. Given that miombo woodlands provide a myriad of ecosystem services to rural Africans, investing in improving fire management could increase the benefits to local communities. Altering fire regimes could improve habitat quality and promote greater resilience to climate change while sequestering carbon. In addition, local employment opportunities in fire management could be created via carbon financing from a carbon project. However, much more outreach and education will be needed to local and national stakeholders for fire management to be perceived more positively and realize the potential to generate multiple benefits for nature and people.

Suggested Citation

  • Ribeiro, N.S. & Armstrong, Amanda Hildt & Fischer, Rico & Kim, Yeon-Su & Shugart, Herman Henry & Ribeiro-Barros, Ana I. & Chauque, Aniceto & Tear, T. & Washington-Allen, Robert & Bandeira, Romana R., 2021. "Prediction of forest parameters and carbon accounting under different fire regimes in Miombo woodlands, Niassa Special Reserve, Northern Mozambique," Forest Policy and Economics, Elsevier, vol. 133(C).
  • Handle: RePEc:eee:forpol:v:133:y:2021:i:c:s1389934121002318
    DOI: 10.1016/j.forpol.2021.102625
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934121002318
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.forpol.2021.102625?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Thierry Giordano & James N. Blignaut & Christo Marais, 2012. "Natural resource management - an employment catalyst," Working Papers hal-03117773, HAL.
    2. Kazmierczak, Martin & Wiegand, Thorsten & Huth, Andreas, 2014. "A neutral vs. non-neutral parametrizations of a physiological forest gap model," Ecological Modelling, Elsevier, vol. 288(C), pages 94-102.
    3. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.
    4. Thierry Giordano & James N. Blignaut & Christo Marais, 2012. "Natural resource management - an employment catalyst," Post-Print hal-03117773, HAL.
    5. Edward T. A. Mitchard, 2018. "The tropical forest carbon cycle and climate change," Nature, Nature, vol. 559(7715), pages 527-534, July.
    6. Hofstad, Ole & Araya, Meley Mekonen, 2015. "Optimal wood harvest in miombo woodland considering REDD+payments — A case study at Kitulangalo Forest Reserve, Tanzania," Forest Policy and Economics, Elsevier, vol. 51(C), pages 9-16.
    7. Armstrong, A.H. & Huth, A. & Osmanoglu, B. & Sun, G. & Ranson, K.J. & Fischer, R., 2020. "A multi-scaled analysis of forest structure using individual-based modeling in a costa rican rainforest," Ecological Modelling, Elsevier, vol. 433(C).
    8. Geoffrey J. Lipsett-Moore & Nicholas H. Wolff & Edward T. Game, 2018. "Emissions mitigation opportunities for savanna countries from early dry season fire management," Nature Communications, Nature, vol. 9(1), pages 1-8, December.
    9. Schild, Johanna E.M. & Vermaat, Jan E. & de Groot, Rudolf S. & Quatrini, Simone & van Bodegom, Peter M., 2018. "A global meta-analysis on the monetary valuation of dryland ecosystem services: The role of socio-economic, environmental and methodological indicators," Ecosystem Services, Elsevier, vol. 32(PA), pages 78-89.
    10. Köhler, Peter & Huth, Andreas, 2007. "Impacts of recruitment limitation and canopy disturbance on tropical tree species richness," Ecological Modelling, Elsevier, vol. 203(3), pages 511-517.
    11. Ning, Zhuo & Sun, Changyou, 2017. "Forest management with wildfire risk, prescribed burning and diverse carbon policies," Forest Policy and Economics, Elsevier, vol. 75(C), pages 95-102.
    12. Lehmann, Sebastian & Huth, Andreas, 2015. "Fast calibration of a dynamic vegetation model with minimum observation data," Ecological Modelling, Elsevier, vol. 301(C), pages 98-105.
    13. D. A. Bossio & S. C. Cook-Patton & P. W. Ellis & J. Fargione & J. Sanderman & P. Smith & S. Wood & R. J. Zomer & M. Unger & I. M. Emmer & B. W. Griscom, 2020. "The role of soil carbon in natural climate solutions," Nature Sustainability, Nature, vol. 3(5), pages 391-398, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ockert Rudolf Pretorius & Johannes Ernst Drewes & Trynos Gumbo, 2022. "Evidence to Inform Resilience Policy in the SADC: Current Limitations and Future Research Areas," World, MDPI, vol. 3(3), pages 1-21, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rau, E-Ping & Fischer, Fabian & Joetzjer, Émilie & Maréchaux, Isabelle & Sun, I Fang & Chave, Jérôme, 2022. "Transferability of an individual- and trait-based forest dynamics model: A test case across the tropics," Ecological Modelling, Elsevier, vol. 463(C).
    2. Armstrong, A.H. & Huth, A. & Osmanoglu, B. & Sun, G. & Ranson, K.J. & Fischer, R., 2020. "A multi-scaled analysis of forest structure using individual-based modeling in a costa rican rainforest," Ecological Modelling, Elsevier, vol. 433(C).
    3. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.
    4. Maciel, Everton A. & Martins, Valeria F. & de Paula, Mateus D. & Huth, Andreas & Guilherme, Frederico A.G. & Fischer, Rico & Giles, André & Barbosa, Reinaldo I. & Cavassan, Osmar & Martins, Fernando R, 2021. "Defaunation and changes in climate and fire frequency have synergistic effects on aboveground biomass loss in the brazilian savanna," Ecological Modelling, Elsevier, vol. 454(C).
    5. Licheng Liu & Wang Zhou & Kaiyu Guan & Bin Peng & Shaoming Xu & Jinyun Tang & Qing Zhu & Jessica Till & Xiaowei Jia & Chongya Jiang & Sheng Wang & Ziqi Qin & Hui Kong & Robert Grant & Symon Mezbahuddi, 2024. "Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    6. Pütz, S. & Groeneveld, J. & Alves, L.F. & Metzger, J.P. & Huth, A., 2011. "Fragmentation drives tropical forest fragments to early successional states: A modelling study for Brazilian Atlantic forests," Ecological Modelling, Elsevier, vol. 222(12), pages 1986-1997.
    7. Vacchiano, Giorgio & Ascoli, Davide & Berzaghi, Fabio & Lucas-Borja, Manuel Esteban & Caignard, Thomas & Collalti, Alessio & Mairota, Paola & Palaghianu, Ciprian & Reyer, Christopher P.O. & Sanders, T, 2018. "Reproducing reproduction: How to simulate mast seeding in forest models," Ecological Modelling, Elsevier, vol. 376(C), pages 40-53.
    8. Claudia Dislich & Elisabeth Hettig & Jan Salecker & Johannes Heinonen & Jann Lay & Katrin M Meyer & Kerstin Wiegand & Suria Tarigan, 2018. "Land-use change in oil palm dominated tropical landscapes—An agent-based model to explore ecological and socio-economic trade-offs," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-20, January.
    9. Mohamed A. M. Abd Elbasit & Jasper Knight & Gang Liu & Majed M. Abu-Zreig & Rashid Hasaan, 2021. "Valuation of Ecosystem Services in South Africa, 2001–2019," Sustainability, MDPI, vol. 13(20), pages 1-18, October.
    10. Sangha, Kamaljit K & Evans, Jay & Edwards, Andrew & Russell-Smith, Jeremy & Fisher, Rohan & Yates, Cameron & Costanza, Robert, 2021. "Assessing the value of ecosystem services delivered by prescribed fire management in Australian tropical savannas," Ecosystem Services, Elsevier, vol. 51(C).
    11. Telmo José Mendes & Diego Silva Siqueira & Eduardo Barretto Figueiredo & Ricardo de Oliveira Bordonal & Mara Regina Moitinho & José Marques Júnior & Newton La Scala Jr., 2021. "Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16410-16427, November.
    12. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
    13. Vorpahl, Peter & Elsenbeer, Helmut & Märker, Michael & Schröder, Boris, 2012. "How can statistical models help to determine driving factors of landslides?," Ecological Modelling, Elsevier, vol. 239(C), pages 27-39.
    14. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    15. Wernsdörfer, H. & Rossi, V. & Cornu, G. & Oddou-Muratorio, S. & Gourlet-Fleury, S., 2008. "Impact of uncertainty in tree mortality on the predictions of a tropical forest dynamics model," Ecological Modelling, Elsevier, vol. 218(3), pages 290-306.
    16. Jones, Sarah K. & Boundaogo, Mansour & DeClerck, Fabrice A. & Estrada-Carmona, Natalia & Mirumachi, Naho & Mulligan, Mark, 2019. "Insights into the importance of ecosystem services to human well-being in reservoir landscapes," Ecosystem Services, Elsevier, vol. 39(C).
    17. Petter, Gunnar & Kreft, Holger & Ong, Yongzhi & Zotz, Gerhard & Cabral, Juliano Sarmento, 2021. "Modelling the long-term dynamics of tropical forests: From leaf traits to whole-tree growth patterns," Ecological Modelling, Elsevier, vol. 460(C).
    18. Stephen M. Bell & Samuel J. Raymond & He Yin & Wenzhe Jiao & Daniel S. Goll & Philippe Ciais & Elsa Olivetti & Victor O. Leshyk & César Terrer, 2023. "Quantifying the recarbonization of post-agricultural landscapes," Nature Communications, Nature, vol. 14(1), pages 1-4, December.
    19. Rossi, Vivien & Claeys, Florian & Bastin, Didier & Gourlet-Fleury, Sylvie & Guizol, Philippe & Eba’a-Atyi, Richard & Sonwa, Denis J. & Lescuyer, Guillaume & Picard, Nicolas, 2017. "Could REDD+ mechanisms induce logging companies to reduce forest degradation in Central Africa?," Journal of Forest Economics, Elsevier, vol. 29(PB), pages 107-117.
    20. Andreas Scheba, 2018. "Market-Based Conservation for Better Livelihoods? The Promises and Fallacies of REDD+ in Tanzania," Land, MDPI, vol. 7(4), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:forpol:v:133:y:2021:i:c:s1389934121002318. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.