Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa
DOI:
https://doi.org/10.31181/jscda21202435Keywords:
Climate change risks management, SWARA, WASPAS, MCDMAbstract
Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting and prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure to various and severe impacts of climate change. This study applied a two-stage model that integrates the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a unique framework under the influence of spherical fuzzy (SF) conditions. In the initial stage, SF-SWARA determines the relative importance of the criteria, while the subsequent stage involves the SF-WASPAS method to rank the strategies. While the most critical challenges are limited access to finance and inadequacies in climate data, scenarios, and impact models, the solution to be considered is the promotion of a well-coordinated capacity-building programme. Furthermore, a comprehensive sensitivity analysis was conducted to validate the applicability of the proposed model. This research not only identifies and explains the challenges associated with climate change risks management in the African context but also significantly contributes to the body of knowledge by outlining and prioritizing the strategies required to address these challenges.
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Carr, T. W., Mkuhlani, S., Segnon, A. C., Ali, Z., Zougmoré, R., Dangour, A. D., . . . Scheelbeek, P. (2022). Climate change impacts and adaptation strategies for crops in West Africa: a systematic review. Environmental research letters, 17(5), 053001. https://doi.org/10.1088/1748-9326/ac61c8
Blekking, J., Giroux, S., Waldman, K., Battersby, J., Tuholske, C., Robeson, S. M., & Siame, G. (2022). The impacts of climate change and urbanization on food retailers in urban sub-Saharan Africa. Current Opinion in Environmental Sustainability, 55, 101169. https://doi.org/10.1016/j.cosust.2022.101169
Wellard, K., Kambewa, D., & Snapp, S. (2012). Farmers on the frontline: adaptation and change in Malawi. Climate Change and Threatened Communities: Vulnerability, Capacity and Action [AP Castro, D. Taylor, and DW Brokensha (ed.)]. Practical Action Publications, Rugby, UK, 41-56. https://doi.org/10.3362/9781780447254.004
Adenle, A. A., Ford, J. D., Morton, J., Twomlow, S., Alverson, K., Cattaneo, A., . . . Helfgott, A. (2017). Managing climate change risks in Africa-A global perspective. Ecological Economics, 141, 190-201. https://doi.org/10.1016/j.ecolecon.2017.06.004
Fao, I. (2015). WFP (2014) The state of food insecurity in the world 2014: strengthening the enabling environment for food security and nutrition. FAO, Rome.
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., & Naylor, R. L. (2008). Prioritizing climate change adaptation needs for food security in 2030. Science, 319(5863), 607-610.
https://doi.org/10.1126/science.1152339
De Souza, K., Kituyi, E., Harvey, B., Leone, M., Murali, K. S., & Ford, J. D. (2015). Vulnerability to climate change in three hot spots in Africa and Asia: key issues for policy-relevant adaptation and resilience-building research. In (Vol. 15, pp. 747-753): Springer. https://doi.org/10.1007/s10113-015-0755-8
Bizikova, L., Parry, J.-E., Karami, J., & Echeverria, D. (2015). Review of key initiatives and approaches to adaptation planning at the national level in semi-arid areas. Regional Environmental Change, 15(5), 837-850. https://doi.org/10.1007/s10113-014-0710-0
Sherman, M. H., & Ford, J. (2014). Stakeholder engagement in adaptation interventions: an evaluation of projects in developing nations. Climate Policy, 14(3), 417-441. https://doi.org/10.1080/14693062.2014.859501
Conway, D., & Schipper, E. L. F. (2011). Adaptation to climate change in Africa: Challenges and opportunities identified from Ethiopia. Global environmental change, 21(1), 227-237. https://doi.org/10.1016/j.gloenvcha.2010.07.013
Ford, J. D., & King, D. (2015). A framework for examining adaptation readiness. Mitigation and Adaptation Strategies for Global Change, 20, 505-526. https://doi.org/10.1007/s11027-013-9505-8
Ford, J. D., Berrang-Ford, L., Bunce, A., McKay, C., Irwin, M., & Pearce, T. (2015). The status of climate change adaptation in Africa and Asia. Regional Environmental Change, 15, 801-814. https://doi.org/10.1007/s10113-014-0648-2
UNEP. (2016). The adaptation finance gap report 2016. In: United Nations Environment Programme (UNEP) Nairobi.
Analytics, C. (2013). Africa's adaptation gap.
Oates, N., Conway, D., & Calow, R. (2011). The'mainstreaming'approach to climate change adaptation: insights from Ethiopia's water sector.
Stringer, L. C., Dyer, J. C., Reed, M. S., Dougill, A. J., Twyman, C., & Mkwambisi, D. (2009). Adaptations to climate change, drought and desertification: local insights to enhance policy in southern Africa. Environmental Science & Policy, 12(7), 748-765. https://doi.org/10.1016/j.envsci.2009.04.002
Held, D., Roger, C., & Nag, E.-M. (2014). Climate governance in the developing world: John Wiley & Sons.
Zamani, R., Ali, A. M. A., & Roozbahani, A. (2020). Evaluation of adaptation scenarios for climate change impacts on agricultural water allocation using fuzzy MCDM methods. Water Resources Management, 34, 1093-1110. https://doi.org/10.1007/s11269-020-02486-8
Golfam, P., Ashofteh, P.-S., Rajaee, T., & Chu, X. (2019). Prioritization of water allocation for adaptation to climate change using multi-criteria decision making (MCDM). Water Resources Management, 33, 3401-3416. https://doi.org/10.1007/s11269-019-02274-z
Akbari, M., Memarian, H., Neamatollahi, E., Jafari Shalamzari, M., Alizadeh Noughani, M., & Zakeri, D. (2021). Prioritizing policies and strategies for desertification risk management using MCDM-DPSIR approach in northeastern Iran. Environment, Development and Sustainability, 23, 2503-2523. https://doi.org/10.1007/s10668-020-00684-3
Büyüközkan, G., Uztürk, D., & Karabulut, Y. (2023). Linguistic-Based MCDM Approach for Climate Change Risk Evaluation Methodology. In Decision Making Using AI in Energy and Sustainability: Methods and Models for Policy and Practice (pp. 77-89): Springer. https://doi.org/10.1007/978-3-031-38387-8_4
Ghoushchi, S. J., Ab Rahman, M. N., Soltanzadeh, M., Rafique, M. Z., Hernadewita, Marangalo, F. Y., & Ismail, A. R. (2023). Assessing Sustainable Passenger Transportation Systems to Address Climate Change Based on MCDM Methods in an Uncertain Environment. Sustainability, 15(4), 3558. https://doi.org/10.3390/su15043558
Kim, J. Y., Park, C. Y., Huh, J. Y., Hyun, J. H., & Lee, D. K. (2023). Prioritizing climate change adaptation options: Application of multi-criteria decision-making (MCDM) with stakeholder participation in water resources management. 한국기후변화학회지, 14(3), 219-239. https://doi.org/10.15531/KSCCR.2023.14.3.219
Simic, V., Gokasar, I., Deveci, M., & Švadlenka, L. (2022). Mitigating Climate Change Effects of Urban Transportation Using a Type-2 Neutrosophic MEREC-MARCOS Model. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2022.3207375
Deveci, M., Pamucar, D., Gokasar, I., Isik, M., & Coffman, D. M. (2022). Fuzzy Einstein WASPAS approach for the economic and societal dynamics of the climate change mitigation strategies in urban mobility planning. Structural Change and Economic Dynamics, 61, 1-17. https://doi.org/10.1016/j.strueco.2022.01.009
Pamucar, D., Deveci, M., Stević, Ž., Gokasar, I., Isik, M., & Coffman, D. M. (2022). Green strategies in mobility planning towards climate change adaption of urban areas using fuzzy 2D algorithm. Sustainable Cities and Society, 87, 104159. https://doi.org/10.1016/j.scs.2022.104159
Deveci, M., Gokasar, I., Mishra, A. R., Rani, P., & Ye, Z. (2023). Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model. Engineering Applications of Artificial Intelligence, 119, 105824. https://doi.org/10.1016/j.engappai.2023.105824
Mishra, A. R., Rani, P., Deveci, M., Gokasar, I., Pamucar, D., & Govindan, K. (2023). Interval-valued Fermatean fuzzy heronian mean operator-based decision-making method for urban climate change policy for transportation activities. Engineering Applications of Artificial Intelligence, 124, 106603. https://doi.org/10.1016/j.engappai.2023.106603
Alsattar, H. A., Mourad, N., Zaidan, A., Deveci, M., Qahtan, S., Jayaraman, V., & Khalid, Z. (2023). Developing IoT Sustainable Real-Time Monitoring Devices for Food Supply Chain Systems Based on Climate Change Using Circular Intuitionistic Fuzzy Set. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2023.3305910
Wright, C. Y., Kapwata, T., Du Preez, D. J., Wernecke, B., Garland, R. M., Nkosi, V., . . . Norval, M. (2021). Major climate change-induced risks to human health in South Africa. Environmental Research, 196, 110973. https://doi.org/10.1016/j.envres.2021.110973
Onyeneke, R. U., Amadi, M. U., Njoku, C. L., & Osuji, E. E. (2021). Climate change perception and uptake of climate-smart agriculture in rice production in Ebonyi State, Nigeria. Atmosphere, 12(11), 1503. https://doi.org/10.3390/atmos12111503
Kogo, B. K., Kumar, L., & Koech, R. (2021). Climate change and variability in Kenya: a review of impacts on agriculture and food security. Environment, Development and Sustainability, 23, 23-43. https://doi.org/10.1007/s10668-020-00589-1
Pasquini, L., van Aardenne, L., Godsmark, C. N., Lee, J., & Jack, C. (2020). Emerging climate change-related public health challenges in Africa: A case study of the heat-health vulnerability of informal settlement residents in Dar es Salaam, Tanzania. Science of The Total Environment, 747, 141355. https://doi.org/10.1016/j.scitotenv.2020.141355
Sertse, S. F., Khan, N. A., Shah, A. A., Liu, Y., & Naqvi, S. A. A. (2021). Farm households' perceptions and adaptation strategies to climate change risks and their determinants: Evidence from Raya Azebo district, Ethiopia. International Journal of Disaster Risk Reduction, 60, 102255. https://doi.org/10.1016/j.ijdrr.2021.102255
Revocatus, T., Hakimu, S., Catherine, M., Mukwaya, P. I., Alex, N., & Kato, A. M. (2021). Perceptions and vulnerability to climate change among the urban poor in Kampala City, Uganda. Regional Environmental Change, 21(2). https://doi.org/10.1007/s10113-021-01771-5
Dickerson, S., Cannon, M., & O'Neill, B. (2022). Climate change risks to human development in sub-Saharan Africa: a review of the literature. Climate and Development, 14(6), 571-589. https://doi.org/10.1080/17565529.2021.1951644
Ahmadalipour, A., Moradkhani, H., Castelletti, A., & Magliocca, N. (2019). Future drought risk in Africa: Integrating vulnerability, climate change, and population growth. Science of The Total Environment, 662, 672-686. https://doi.org/10.1016/j.scitotenv.2019.01.278
Steynor, A., & Pasquini, L. (2019). Informing climate services in Africa through climate change risk perceptions. Climate Services, 15, 100112. https://doi.org/10.1016/j.cliser.2019.100112
Ayanlade, A., SMUCKER, T., Nyasimi, M., Sterly, H., Weldemariam, L. F., & Simpson, N. P. (2023). Complex climate change risk and emerging directions for vulnerability research in Africa. Climate Risk Management, 100497. https://doi.org/10.1016/j.crm.2023.100497
Badi, I., Pamučar, D., Stević, Ž., & Muhammad, L. (2023). Wind farm site selection using BWM-AHP-MARCOS method: A case study of Libya. Scientific African, 19, e01511. https://doi.org/10.1016/j.sciaf.2022.e01511
Bouraima, M. B., Tengecha, N. A., Stević, Ž., Simić, V., & Qiu, Y. (2023). An integrated fuzzy MCDM model for prioritizing strategies for successful implementation and operation of the bus rapid transit system. Annals of Operations Research. https://doi.org/10.1007/s10479-023-05183-y
Qiu, Y. J., Bouraima, M. B., Kiptum, C. K., Ayyildiz, E., Stević, Ž., Badi, I., & Ndiema, K. M. (2023). Strategies for enhancing industry 4.0 adoption in East Africa: An integrated spherical fuzzy swara-waspas approach. J. Ind Intell, 1(2), 87-100. https://doi.org/10.56578/jii010202
Božanić, D., Pamucar, D., Badi, I., & Tešić, D. (2023). A decision support tool for oil spill response strategy selection: application of LBWA and Z MABAC methods. Opsearch, 60(1), 24-58. https://doi.org/10.1007/s12597-022-00605-0
Bouraima, M. B., Saha, A., Stević, Ž., Antucheviciene, J., Qiu, Y., & Marton, P. (2023). Assessment actions for improving railway sector performance using intuitionistic fuzzy-rough Multi-Criteria Decision-Making model. Applied Soft Computing, 110900. https://doi.org/10.1016/j.asoc.2023.110900
Jovanović, S., Zavadskas, E. K., Stević, Ž., Marinković, M., Alrasheedi, A. F., & Badi, I. (2023). An Intelligent Fuzzy MCDM Model Based on D and Z Numbers for Paver Selection: IMF D-SWARA-Fuzzy ARAS-Z Model. Axioms, 12(6), 573. https://doi.org/10.3390/axioms12060573
Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2023). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. Socio-Economic Planning Sciences, 86, 101475. https://doi.org/10.1016/j.seps.2022.101475
Kiptum, C. K., Bouraima, M. B., Stević, Ž., Okemwa, S., Birech, S., & Qiu, Y. (2022). Sustainable strategies for the successful operation of the bike-sharing system using an ordinal priority approach. J. Eng. Manag. Syst. Eng, 1(2), 43-50. https://doi.org/10.56578/jemse010201
Ayyildiz, E., & Erdogan, M. (2023). A decision support mechanism in the determination of organic waste collection and recycling center location: A sample application for Turkiye. Applied Soft Computing, 147, 110752. https://doi.org/10.1016/j.asoc.2023.110752
Ayyildiz, E., Yildiz, A., Taskin Gumus, A., & Ozkan, C. (2021). An integrated methodology using extended swara and dea for the performance analysis of wastewater treatment plants: Turkey case. Environmental Management, 67(3), 449-467. https://doi.org/10.1007/s00267-020-01381-7
Kose, Y., Civan, H. N., Ayyildiz, E., & Cevikcan, E. (2022). An Interval Valued Pythagorean Fuzzy AHP-TOPSIS Integrated Model for Ergonomic Assessment of Setup Process under SMED. Sustainability, 14(21), 13804. https://doi.org/10.3390/su142113804
Moslem, S., Farooq, D., Esztergár-Kiss, D., Yaseen, G., Senapati, T., & Deveci, M. (2023). A novel spherical decision-making model for measuring the separateness of preferences for drivers' behavior factors associated with road traffic accidents. Expert systems with applications, 122318. https://doi.org/10.1016/j.eswa.2023.122318
Moslem, S. (2023). A Novel Parsimonious Best Worst Method for Evaluating Travel Mode Choice. IEEE Access, 11, 16768-16773. https://doi.org/10.1109/ACCESS.2023.3242120
Moslem, S. (2024). A Novel Parsimonious Spherical Fuzzy Analytic Hierarchy Process for Sustainable Urban Transport Solutions. Engineering Applications of Artificial Intelligence, 128, 107447. https://doi.org/10.1016/j.engappai.2023.107447
Bouraima, M. B., Qiu, Y., Kiptum, C. K., & Ndiema, K. M. (2022). Evaluation of factors affecting road maintenance in Kenyan counties using the Ordinal Priority Approach. Journal of Computational and Cognitive Engineering, 00(00), 1-6. https://doi.org/10.47852/bonviewJCCE2202272
Kovač, M., Tadić, S., Krstić, M., & Bouraima, M. B. (2021). Novel Spherical Fuzzy MARCOS Method for Assessment of Drone-Based City Logistics Concepts. Complexity, 2021. https://doi.org/10.1155/2021/2374955
Więckowski, J., Kizielewicz, B., Shekhovtsov, A., & Sałabun, W. (2023). RANCOM: A novel approach to identifying criteria relevance based on inaccuracy expert judgments. Engineering Applications of Artificial Intelligence, 122, 106114. https://doi.org/10.1016/j.engappai.2023.106114
Abdulla, A., Baryannis, G., & Badi, I. (2023). An integrated machine learning and MARCOS method for supplier evaluation and selection. Decision Analytics Journal, 9, 100342. https://doi.org/10.1016/j.dajour.2023.100342
Bošković, S., Švadlenka, L., Jovčić, S., Dobrodolac, M., Simić, V., & Bačanin, N. (2023). An Alternative Ranking Order Method Accounting for Two-Step Normalization (AROMAN)-A Case Study of the Electric Vehicle Selection Problem. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3265818
Stević, Ž., Pamučar, D., Puška, A., & Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of alternatives and ranking according to COmpromise solution (MARCOS). Computers & Industrial Engineering, 140, 106231. https://doi.org/10.1016/j.cie.2019.106231
Pamucar, D., Badi, I., & Stevic, Z. (2022). An integrated FUCOM-RAFSI model for assessing the potential of a new gateway port in Libya for some African landlocked countries. International Journal for Quality Research, 16(2).
https://doi.org/10.24874/IJQR16.02-17
Bouraima, M. B., Qiu, Y., Ayyildiz, E., & Yildiz, A. (2023). Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach. Neural Computing and Applications, 1-20. https://doi.org/10.1007/s00521-023-08660-4
Bouraima, M. B., Gore, A., Ayyildiz, E., Yalcin, S., Badi, I., Kiptum, C. K., & Qiu, Y. (2023). Assessing of causes of accidents based on a novel integrated interval-valued Fermatean fuzzy methodology: towards a sustainable construction site. Neural Computing and Applications, 1-26. https://doi.org/10.1007/s00521-023-08948-5
Badi, I., Bouraima, M. B., & Muhammad, L. J. (2022). Risk assessment in construction projects using the grey theory. J. Eng. Manag. Syst. Eng, 1(2), 58-66. https://doi.org/10.56578/jemse010203
Bouraima, M. B., Qiu, Y., Stević, Ž., Marinković, D., & Deveci, M. (2023). Integrated Intelligent Decision Support Model for Ranking Regional Transport Infrastructure Programmes Based on Performance Assessment. Expert systems with applications, 119852. https://doi.org/10.1016/j.eswa.2023.119852
Kiptum, C. K., Bouraima, M. B., Badi, I., Zonon, B. I. P., Ndiema, K. M., & Qiu, Y. (2023). Assessment of the Challenges to Urban Sustainable Development Using an Interval-Valued Fermatean Fuzzy Approach. Systemic Analytics, 1(1), 11-26.
Bouraima, M. B., Ayyıldız, E., Badi, I., Özçelik, G., Yeni, F. B., & Pamucar, D. (2024). An integrated intelligent decision support framework for the development of photovoltaic solar power. Engineering Applications of Artificial Intelligence, 127, 107253. https://doi.org/10.1016/j.engappai.2023.107253
Badi, I., Stević, Ž., & Bouraima, M. B. (2023b). Overcoming Obstacles to Renewable Energy Development in Libya: An MCDM Approach towards Effective Strategy Formulation. Decision Making Advances, 1(1), 17-24. https://doi.org/10.31181/v120234
Badi, I., Bouraima, M. B., & Muhammad, L. J. (2022b). The role of intelligent transportation systems in solving traffic problems and reducing environmental negative impact of urban transport. Decision Making and Analysis, 1(1), 1-9. https://doi.org/10.55976/dma.1202311371-9
Badi, I., Stević, Ž., & Bouraima, M. B. (2023a). Evaluating free zone industrial plant proposals using a combined full consistency method-grey-cocoso model. J. Ind Intell, 1(2), 101-109. https://doi.org/10.56578/jii010203
Badi, I., & Bouraima, M. B. (2023). Development of MCDM-based Frameworks for Proactively Managing the Most Critical Risk Factors for Transport Accidents: A Case Study in Libya. Spectrum of Engineering and Management Sciences, 1(1), 38-47. https://doi.org/10.31181/sems1120231b
Ayyildiz, E., Yildiz, A., Taskin, A., & Ozkan, C. (2023). An interval valued Pythagorean Fuzzy AHP integrated Quality Function Deployment methodology for Hazelnut Production in Turkey. Expert systems with applications, 120708. https://doi.org/10.1016/j.eswa.2023.120708
Kavus, B. Y., Tas, P. G., Ayyildiz, E., & Taskin, A. (2022). A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions. Journal of air transport management, 99, 102179. https://doi.org/10.1016/j.jairtraman.2021.102179
Esangbedo, M. O., & Bai, S. (2020). Scaling Foreign-Service Premium Allowance Based on SWARA and GRA with Grey Numbers. Journal of Grey System, 32(1).
Esangbedo, M. O., & Che, A. (2016). Evaluating Business Environment in Africa Using Grey Number Weights. Journal of Grey System, 28(3). https://doi.org/10.1155/2016/3824350
Bouraima, M. B., Kiptum, C. K., Ndiema, K. M., Qiu, Y., & Tanackov, I. (2022). Prioritization Road Safety Strategies Towards Zero Road Traffic Injury Using Ordinal Priority Approach. Operational Research in Engineering Sciences: Theory and Applications, 5(2), 206-221. https://doi.org/10.31181/oresta190822150b
Bouraima, M. B., Qiu, Y., Yusupov, B., & Ndjegwes, C. M. (2020). A study on the development strategy of the railway transportation system in the West African Economic and Monetary Union (WAEMU) based on the SWOT/AHP technique. Scientific African, 8, e00388. https://doi.org/10.1016/j.sciaf.2020.e00388
Stević, Ž., Bouraima, M. B., Subotić, M., Qiu, Y., Buah, P. A., Ndiema, K. M., & Ndjegwes, C. M. (2022). Assessment of Causes of Delays in the Road Construction Projects in the Benin Republic Using Fuzzy PIPRECIA Method. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/5323543
Bošković, S., Švadlenka, L., Dobrodolac, M., Jovčić, S., & Zanne, M. (2023). An Extended AROMAN Method for Cargo Bike Delivery Concept Selection. Decision Making Advances, 1, 1-9. https://doi.org/10.31181/v120231
Bouraima, M. B., Oyaro, J., Ayyildiz, E., Erdogan, M., & Maraka, N. K. (2023). An integrated decision support model for effective institutional coordination framework in planning for public transportation. Soft Computing. https://doi.org/10.1007/s00500-023-09425-w
Jafarzadeh Ghoushchi, S., Shaffiee Haghshenas, S., Memarpour Ghiaci, A., Guido, G., & Vitale, A. (2023). Road safety assessment and risks prioritization using an integrated SWARA and MARCOS approach under spherical fuzzy environment. Neural Computing and Applications, 35(6), 4549-4567. https://doi.org/10.1007/s00521-022-07929-4
Ayyildiz, E., & Taskin, A. (2022). A novel spherical fuzzy AHP-VIKOR methodology to determine serving petrol station selection during COVID-19 lockdown: A pilot study for İstanbul. Socio-Economic Planning Sciences, 101345. https://doi.org/10.1016/j.seps.2022.101345
Dinku, T. (2019). Challenges with availability and quality of climate data in Africa. In Extreme hydrology and climate variability (pp. 71-80): Elsevier. https://doi.org/10.1016/B978-0-12-815998-9.00007-5
Carnohan, S. A., Clifford-Holmes, J. K., Retief, H., McKnight, U. S., & Pollard, S. (2021). Climate change adaptation in rural South Africa: Using stakeholder narratives to build system dynamics models in data-scarce environments. Journal of Simulation, 15(1-2), 5-22. https://doi.org/10.1080/17477778.2020.1762516
Gebrechorkos, S. H., Hülsmann, S., & Bernhofer, C. (2018). Evaluation of multiple climate data sources for managing environmental resources in East Africa. Hydrology and Earth System Sciences, 22(8), 4547-4564. https://doi.org/10.5194/hess-22-4547-2018
Feng, X., Porporato, A., & Rodriguez-Iturbe, I. (2013). Changes in rainfall seasonality in the tropics. Nature Climate Change, 3(9), 811-815. https://doi.org/10.1038/nclimate1907
Kilroy, G. (2015). A review of the biophysical impacts of climate change in three hotspot regions in Africa and Asia. Regional Environmental Change, 15, 771-782. https://doi.org/10.1007/s10113-014-0709-6
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