Your search found 2 records
1 Van Vuuren, D. P.; Ochola, W. O.; Riha, S.; Giampietro, M.; Ginzo, H.; Henrichs, T.; Hussain, S.; Kok, K.; Makhura, M.; Mirza, M.; Kuppannan, Palanisami; Ranganathan, C. R.; Ray, S.; Ringler, C.; Rola, A.; Westhoek, H.; Zurek, M.; de Fraiture, Charlotte. 2009. Outlook on agricultural change and its drivers. In McIntyre, B. D.; Herren, H. R.; Wakhungu, J.; Watson, R. T. (Eds.). International Assessment of Agricultural Knowledge, Science and Technology for Development (IAASTD): Agriculture at a Crossroads, global report. Washington, DC, USA: Island Press. pp.255-305.
Agricultural economics ; International trade ; Investment ; Political aspects ; Food consumption ; Irrigation water ; Land use ; Climate change ; Energy consumption ; Bioenergy ; Labor ; Crop production ; Livestock ; Forestry ; Fisheries ; Gender ; Women
(Location: IWMI HQ Call no: e-copy only Record No: H042171)
(3.62 MB)
2 de Jong, C. E.; Kok, K.. 2021. Ambiguity in social ecological system understanding: advancing modelling of stakeholder perceptions of climate change adaptation in Kenya. Environmental Modelling and Software, 141:105054. (Online first) [doi: https://doi.org/10.1016/j.envsoft.2021.105054]
Climate change adaptation ; Social aspects ; Ecological factors ; Stakeholders ; Participatory approaches ; Strategies ; Agreements ; Modelling ; Uncertainty ; Water use / Kenya
(Location: IWMI HQ Call no: e-copy only Record No: H050401)
https://www.sciencedirect.com/science/article/pii/S1364815221000979/pdfft?md5=c97071c8070b67a8bcb930c85f221088&pid=1-s2.0-S1364815221000979-main.pdf
https://vlibrary.iwmi.org/pdf/H050401.pdf
https://vlibrary.iwmi.org/pdf/H050401.pdf
(7.23 MB) (7.23 MB)
Climate change adaptation requires understanding of complex social ecological systems (SESs). One source of uncertainty in complex SESs is ambiguity, defined as the range and variety of existing perceptions in and of an SES, which are considered equally valid, resulting in a lack of a unique or single system understanding. Current modelling practices that acknowledge the presence of ambiguity in SESs focus on finding consensus with stakeholders; however, advanced methods for explicitly representing and aggregating ambiguity in SESs are underdeveloped. Moreover, understanding the influences of ambiguity on SES representation is limited. This paper demonstrates the presence and range of ambiguities in endogenous and exogenous system drivers and internal relationships based on individual fuzzy cognitive maps derived from stakeholder perceptions of climate change adaptation in Kenya and introduces an ambiguity based modelling process. Our results indicate that acknowledging ambiguity fundamentally changes SES representation and more advanced methods are required.
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