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Research Article

Landscape-scale effects of farmers’ restoration decision making and investments in central Malawi: an agent-based modeling approach

ORCID Icon, ORCID Icon & ORCID Icon
Pages 281-306 | Received 31 Jul 2021, Accepted 04 May 2022, Published online: 24 May 2022

References

  • Aker, J. C., & Jack, K. (2021). Harvesting the rain: The adoption of environmental technologies in the Sahel (No. w29518). National Bureau of Economic Research. Working Paper 29518. http://www.nber.org/papers/w29518
  • An, L. (2012). Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling, 229, 25–36. https://doi.org/10.1016/j.ecolmodel.2011.07.010
  • Andersson, J.A., & D’Souza, S. (2014). From adoption claims to understanding farmers and contexts: A literature review of Conservation Agriculture (CA) adoption among smallholder farmers in Southern Africa. Agriculture, Ecosystems & Environment, 187, 116–132. https://doi.org/10.1016/j.agee.2013.08.008
  • Asiama, K.O., Bennett, R., & Zevenbergen, J. (2017). Land consolidation for sub-Saharan Africa’s customary lands–the need for responsible approaches. American Journal of Rural Development, 5(2), 39–45. https://doi.org/10.12691/ajrd-5-2-2
  • Asiama, K., Bennett, R., & Zevenbergen, J. (2019). Towards responsible consolidation of customary lands: A research synthesis. Land, 8(11), 161. https://doi.org/10.3390/land8110161
  • Bakker, M.M., & van Doorn, A.M. (2009). Farmer-specific relationships between land use change and landscape factors: Introducing agents in empirical land use modelling. Land Use Policy, 26(3), 809–817. https://doi.org/10.1016/j.landusepol.2008.10.010
  • Berger, T. (2001). Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics, 25(2–3), 245–260. https://doi.org/10.1111/j.1574-0862.2001.tb00205.x
  • Bert, F.E., Podestá, G.P., Rovere, S.L., Menéndez, Á.N., North, M., Tatara, E., & Toranzo, F.R. (2011). An agent-based model to simulate structural and land use changes in agricultural systems of the Argentine pampas. Ecological Modelling, 222(19), 3486–3499. https://doi.org/10.1016/j.ecolmodel.2011.08.007
  • Besseau, P., Graham, S., & Christophersen, T. (2018). Restoring forests and landscapes: The key to a sustainable future Global Partnership on Forest and Landscape Restoration.
  • Brandt, M., Tucker, C.J., Kariryaa, A. (2020). An unexpectedly large count of trees in the West African Sahara and Sahel. Nature, 587, 78–82. https://doi.org/10.1038/s41586-020-2824-5
  • Castella, J.C., Trung, T.N., & Boissau, S. (2005). Participatory simulation of land-use changes in the northern mountains of Vietnam: The combined use of an agent-based model, a role-playing game, and a geographic information system. Ecology and Society, 10(1), 27. https://doi.org/10.5751/ES-01328-100127
  • Chinangwa, L., Sinclair, F., Pullin, A.S., & Hockley, N. (2016). Can co-management of government forest reserves achieve devolution? Evidence from Malawi. Forests, Trees and Livelihoods, 25(1), 41–58. https://doi.org/10.1080/14728028.2015.1087886
  • Cohen-Shacham, E., Andrade, A., Dalton, J., Dudley, N., Jones, M., Kumar, C., … Walters, G. (2019). Core principles for successfully implementing and upscaling Nature-based Solutions. Environmental Science & Policy, 98, 20–29. https://doi.org/10.1016/j.envsci.2019.04.014
  • Curtis, P.G., Slay, C.M., Harris, N.L., Tyukavina, A., & Hansen, M.C. (2018). Classifying drivers of global forest loss. Science, 361(6407), 1108–1111. https://doi.org/10.1126/science.aau3445
  • Didan, K. (2015). MOD13Q1 MODIS/Terra Vegetation Indices 16-Day l3 global 250m sin grid v006 [data set]. NASA EOSDIS Land Processes DAAC. Accessed in February 2021. from. https://doi.org/10.5067/MODIS/MOD13Q1.006
  • Djenontin, I.N.S., Foli, S., & Zulu, L.C. (2018). Revisiting the factors shaping outcomes for forest and landscape restoration in sub-Saharan Africa: A way forward for policy, practice and research. Sustainability, 10(4), 906. https://doi.org/10.3390/su10040906
  • Djenontin, I.N., Zulu, L.C., & Etongo, D. (2020a). Ultimately, what is forest landscape restoration in practice? Embodiments in sub-Saharan Africa and implications for future design. Environmental Management, 1–23.
  • Djenontin, I.N.S., Zulu, L.C., & Ligmann-Zielinska, A. (2020b). Improving representation of decision rules in LUCC-ABM: An example with an elicitation of farmers’ decision making for landscape restoration in central Malawi. Sustainability, 12(13), 5380. https://doi.org/10.3390/su12135380
  • Djenontin, I.N.S., & Zulu, L.C. (2021). The quest for context-relevant governance of agro-forest landscape restoration in Central Malawi: Insights from local processes. Forest Policy and Economics, 131, 124–102555. https://doi.org/10.1016/j.forpol.2021.102555
  • Djenontin, I.N.S., Zulu, L.C., & Richardson, R. (forthcoming). Farmers’ forest landscape restoration in sub-Saharan Africa. Evidence from Central Malawi.
  • Erbaugh, J.T., Pradhan, N., Adams, J., Oldekop, J.A., Agrawal, A., Brockington, D., Chhatre, A. (2020). Global forest restoration and the importance of prioritizing local communities. Nature Ecology & Evolution, 4(11), 1472–1476. https://doi.org/10.1038/s41559-020-01282-2
  • [FAO]. Food and Agriculture Organization. (2020). Global forest resources assessment 2020 – key findings. Rome. https://doi.org/10.4060/ca8753en
  • Gilbert, N. (2008). Agent-Based Models. Quantitative applications in the social science London, Thousand Oaks.
  • Gondwe, M.F., Cho, M.A., Chirwa, P.W., & Geldenhuys, C.J. (2019). Land use land cover change and the comparative impact of co-management and government-management on the forest cover in Malawi (1999-2018). Journal of Land Use Science, 14(4–6), 281–305. https://doi.org/10.1080/1747423X.2019.1706654
  • Grimm, V., Berger, U., DeAngelis, D.L., Polhill, J.G., Giske, J., & Railsback, S.F. (2010). The ODD protocol: A review and first update. Ecological Modelling, 221(23), 2760–2768. https://doi.org/10.1016/j.ecolmodel.2010.08.019
  • Grimm, V., Polhill, G., & Touza, J. (2017). Documenting social simulation models: the odd protocol as a standard. In B. Edmonds & R. Meyer (Eds.), Simulating social complexity. understanding complex systems. Springer. https://doi.org/10.1007/978-3-319-66948-9_15
  • Grimm, V., Railsback, S.F., Vincenot, C.E., Berger, U., Gallagher, C., DeAngelis, D.L., & Ayllón, D. (2020). The ODD protocol for describing agent-based and other simulation models: A second update to improve clarity, replication, and structural realism. Journal of Artificial Societies and Social Simulation, 23(2). https://doi.org/10.18564/jasss.4259
  • Hansen, M.C., Potapov, P.V., Moore, R., Hancher, M., Turubanova, S.A., Tyukavina, A., & Townshend, J. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693
  • Harrell, F.E., Jr. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. Springer.
  • Hughes, K., Oduol, J., Kegode, H., Ouattara, I., Vagen, T., Winowiecki, L.A., Bourne, M., Neely, C., Ademonla, D.A., Carsan, S., Van Schoubroeck, F., & Chomba, S. (2020). Regreening Africa Consolidated Baseline Survey Report. World Agroforestry.Nairobi, Kenya.
  • Kandel, M., Agaba, G., Alare, R.S., Addoah, T., & Schreckenberg, K. (2021). Assessing social equity in farmer-managed natural regeneration (FMNR) interventions: findings from ghana. Ecological Restoration, 39(1), 64–76. https://doi.org/10.3368/er.39.1-2.64
  • Kelly, R.A., Jakeman, A.J., Barreteau, O., Borsuk, M.E., ElSawah, S., Hamilton, S.H., van Delden, H. (2013). Selecting among five common modelling approaches for integrated environmental assessment and management. Environmental Modelling and Software, 47, 159–181. https://doi.org/10.1016/j.envsoft.2013.05.005
  • King, R., & Burton, S. (1982). Land fragmentation: Notes on a fundamental rural spatial problem. Progress in Human Geography, 6(4), 475–494. https://doi.org/10.1177/030913258200600401
  • Lawry, S., Samii, C., Hall, R., Leopold, A., Hornby, D., & Mtero, F. (2017). The impact of land property rights interventions on investment and agricultural productivity in developing countries: A systematic review. Journal of Development Effectiveness, 9(1), 61–81. https://doi.org/10.1080/19439342.2016.1160947
  • Le Polain de Waroux, Y., Garrett, R.D., Chapman, M., Friis, C., Hoelle, J., Hodel, L., Hopping, K., & Gwendolin Zaehringer, J. (2021). The role of culture in land system science. Journal of Land Use Science, 16(4), 450–466. https://doi.org/10.1080/1747423X.2021.1950229
  • Ligmann-Zielinska, A., & Sun, L. (2010). Applying time dependent variance-based global sensitivity analysis to represent the dynamics of an agent-based model of land use change. International Journal of Geographical Information Science, 24(12), 1829–1850. https://doi.org/10.1080/13658816.2010.490533
  • Ligmann-Zielinska, A., & Jankowski, P. (2014). Spatially-explicit integrated uncertainty and sensitivity analysis of criteria weights in multicriteria land suitability evaluation. Environmental Modelling and Software, 57, 235–247. https://doi.org/10.1016/j.envsoft.2014.03.007
  • Ligmann-Zielinska, A. (2018). Can you fix it? Using variance-based sensitivity analysis to reduce the input space of an agent-based model of land use change. In Thill, J.-C, Dragicevic, S (eds). GeoComputational analysis and modeling of regional systems, Advances in Geographic Information Science (pp. 77–99). Springer, Cham. doi:10.1007/978-3-319-59511-5_6
  • Lovo, S. (2016). Tenure insecurity and investment in soil conservation. Evidence from Malawi. World Development, 78, 219–229. https://doi.org/10.1016/j.worlddev.2015.10.023
  • Mansourian, S. (2021). Disciplines, sectors, motivations and power relations in forest landscape restoration. Ecological Restoration, 39(1), 16–26. https://doi.org/10.3368/er.39.1-2.16
  • Matthews, R.B., Gilbert, N.G., Roach, A., Polhill, J.G., & Gotts, N.M. (2007). Agent-based land-use models: A review of applications. Landscape Ecology, 22(10), 1447–1459. https://doi.org/10.1007/s10980-007-9135-1
  • McLain, R., Lawry, S., Guariguata, M.R., & Reed, J. (2018). Toward a tenure-responsive approach to forest landscape restoration: A proposed tenure diagnostic for assessing restoration opportunities. Land Use Policy, 104, 103748. https://doi.org/10.1016/j.landusepol.2018.11.053
  • Messina, J.P., Peter, B.G., & Snapp, S.S. (2017). Re-evaluating the Malawian farm input subsidy programme. Nature Plants, 3(4), 17013. https://doi.org/10.1038/nplants.2017.13
  • Meyfroidt, P. (2013). Environmental cognitions, land change, and social–ecological feedbacks: An overview. Journal of Land Use Science, 8(3), 341–367. https://doi.org/10.1080/1747423X.2012.667452
  • Miller, J.H., & Page, S.E. (2007). Complex adaptive systems. an introduction to computational models of social life.Princeton, NJ.
  • [MNREM]. Ministry of Natural Resources, Energy and Mining. (2017a). National forest landscape restoration strategy. Lilongwe, Malawi; 44pp.
  • [MNREM]. Ministry of Natural Resources, Energy and Mining. (2017b). Forest Landscape Restoration Opportunities Assessment for Malawi. NFLRA, IUCN, WRI. xv; Lilongwe, Malawi; 126pp .
  • [MNREM]. Ministry of Natural Resources, Energy and Mining. (2018). A framework for monitoring progress on Malawi’s national forest landscape restoration strategy.
  • Müller, B., Bohn, F., Dreßler, G., Groeneveld, J., Klassert, C., Martin, R., Schwarz, N. (2013). Describing human decisions in agent-based models–ODD+ D, an extension of the ODD protocol. Environmental Modelling and Software, 48, 37–48.
  • Mwangi, M. (2017). Effects of livelihood-diversification on sustainability of natural resources in the rangelands of East Africa: participatory field studies and results of an agent-based model using the knowledge of indigenous maasai pastoralists of Kenya. In S. Gray, M. Paolisso, R. Jordan, & S. Gray (Eds.), Environmental modeling with stakeholders (pp. 189-210). Springer, Cham. https://doi.org/10.1007/978-3-319-25053-3_10
  • Nagendra, H. (2007). Drivers of reforestation in human-dominated forests. Proceedings of the National Academy of Sciences, 104( 39), 15218–15223.
  • [NSO]. National Statistical Office (2019). 2018 Malawi population and housing census. Main Report. Government of Malawi.
  • Ntihinyurwa, P.D., & de Vries, W.T. (2021). Farmland fragmentation concourse: Analysis of scenarios and research gaps. Land Use Policy, 100, 1–21, 104936. https://doi.org/10.1016/j.landusepol.2020.104936
  • Parker, D.C., Manson, S.M., Janssen, M.A., Hoffmann, M.J., & Deadman, P. (2003). Multi‐agent systems for the simulation of land‐use and land‐cover change: A review. Annals of the Association of American Geographers, 93(2), 314–337. https://doi.org/10.1111/1467-8306.9302004
  • Peter, B.G., Messina, J.P., & Snapp, S.S. (2018). A multiscalar approach to mapping marginal agricultural land: smallholder agriculture in Malawi. Annals of the American Association of Geographers, 1–17.
  • Qi, J., Tao, S., Pueppke, S.G., Espolov, T.E., Beksultanov, M., Chen, X., & Cai, X. (2020). Changes in land use/land cover and net primary productivity in the transboundary Ili-Balkhash basin of Central Asia, 1995–2015. Environmental Research Communications, 2(1), 011006. https://doi.org/10.1088/2515-7620/ab5e1f
  • Running, S., & Zhao, M. (2019). MOD17A3HGF MODIS/Terra Net Primary Production Gap-Filled Yearly L4 Global 500 m SIN Grid V006 [Data set]. NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD17A3HGF.006
  • Sayama, H. (2015). Introduction to the modeling and analysis of complex systems. Open SUNY Textbooks.
  • Schlecht, E., Buerkert, A., Tielkes, E., & Bationo, A. (2006). A critical analysis of challenges and opportunities for soil fertility restoration in Sudano-Sahelian West Africa. Nutrient Cycling in Agroecosystems, 76(2–3), 109–136. https://doi.org/10.1007/s10705-005-1670-z
  • Schreinemachers, P., & Berger, T. (2011). An agent-based simulation model of human–environment interactions in agricultural systems. Environmental Modelling and Software, 26(7), 845–859. https://doi.org/10.1016/j.envsoft.2011.02.004
  • Senganimalunje, T.C., Chirwa, P.W., Babalola, F.D., & Graham, M.A. (2016). Does participatory forest management program lead to efficient forest resource use and improved rural livelihoods? Experiences from mua-livulezi forest reserve. Agroforestry Systems, 90(4), 691–710. https://doi.org/10.1007/s10457-015-9826-6
  • Sigman, E., & Elias, M. (2021). Three approaches to restoration and their implications for social inclusion. Ecological Restoration, 39(1), 27–35. https://doi.org/10.3368/er.39.1-2.27
  • Sikor, T., He, J., & Lestrelin, G. (2017). Property rights regimes and natural resources: A conceptual analysis revisited. World Development, 93, 337–349. https://doi.org/10.1016/j.worlddev.2016.12.032
  • Singh, R., Shelar, K., Duraisami, M., Anderson, W., & Gautam, R.S. (2021). Equitable and inclusive landscape restoration planning: learning from a restoration opportunity assessment in India. Ecological Restoration, 39(1), 108–119. https://doi.org/10.3368/er.39.1-2.108
  • Ten Broeke, G., Van Voorn, G., & Ligtenberg, A. (2016). Which sensitivity analysis method should I use for my agent-based model? Journal of Artificial Societies and Social Simulation, 19(1), 5. https://doi.org/10.18564/jasss.2857
  • USGS-USAID. (2018). Malawi Land Use and Land Cover and On-Farm Tree Density 2017. Map of on-farm percent tree cover, prepared from visual analysis of high resolution imagery, mostly from the year 2017, using area frame samples spaced at 2-km intervals on a regular grid. Draft Maps prepared by USGS/USAID
  • Valbuena, D., Verburg, P. H., Veldkamp, A., Bregt, A. K, and Ligtenberg, A. (2010). Effects of farmers’ decisions on the landscape structure of a Dutch rural region: An agent-based approach. Landscape and Urban Planning, 97(2), 98–110. https://doi.org/10.1016/j.landurbplan.2010.05.001
  • Wimolsakcharoen, W., Dumrongrojwatthana, P., Le Page, C., Bousquet, F., & Trébuil, G. (2021). An agent-based model to support community forest management and non-timber forest product harvesting in northern Thailand. Socio-Environmental Systems Modelling, 3, 17894. https://doi.org/10.18174/sesmo.2021a17894
  • Wortley, L., Hero, J.M., & Howes, M. (2013). Evaluating ecological restoration success: A review of the literature. Restoration Ecology, 21(5), 537–543. https://doi.org/10.1111/rec.12028
  • Zulu, L.C. (2008). Community-forest management in Southern Malawi: Solution or part of the problem? Society And. Natural Resources, 21(8), 687–703. https://doi.org/10.1080/08941920802039242
  • Zulu, L.C. (2013). Bringing people back into protected forests in developing countries: Insights from co-management in Malawi. Sustainability, 5(5), 1917–1943. https://doi.org/10.3390/su5051917