Climate and southern Africa's water–energy–food nexus

Conway, Declan; Archer, Emma; Deryng, Delphine; Dorling, Stephen; Krueger, Tobias; Landman, Willem A.; Lankford, Bruce; Lebek, Karen; Osborn, Timothy J.; Ringler, Claudia; Thurlow, James; Zhu, Tingju; Dalin, Carole

doi:10.1038/nclimate2735

Cited by 346 publications

(201 citation statements)

References 60 publications

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“…This supports findings from complementary research across the SADC region (e.g. Conway et al 2015) which identifies the need to better use climate information to guide long-term development planning and sectoral policy development.…”

Section: Discussionsupporting

confidence: 77%

“…Effective adaptation planning is needed across all sectors in a way that recognises sectoral interdependencies and policy entry points (Conway and Mustelin 2014). Indeed, the post-2015 development agenda recognises the complexities associated with the prevailing sectoral approach to policy-making and emphasises the importance of policy coherence in addressing crosscutting challenges (Conway et al 2015;Nilsson et al 2016) and ensuring improved links between international climate policy and national sectoral policies (Cochrane et al 2017). Policy coherence is defined as Bthe systematic promotion of mutually reinforcing policy actions across government departments and agencies creating synergies towards achieving the agreed objectives^ (OECD 2004:3).…”

Section: Adaptation As a Cross-cutting Policy Issuementioning

confidence: 99%

“…This makes careful adaptation planning imperative, as climate change is projected to increase temperatures, alter the temporal and spatial distribution of rainfall and increase the severity of droughts and flooding across the region (Niang et al 2014). Climate impacts are taking place alongside rapid social, economic and demographic transitions that combine to influence development outcomes, including interacting challenges across the nexus of food security (Ford et al 2015), water availability and energy supply (Conway et al 2015). Climate adaptation planning is subject to challenges of the paucity of reliable climate information (Jones et al 2015) and uncertainties about the timing of impacts and their spatial distribution (Davis 2011).…”

Section: Introductionmentioning

confidence: 99%

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Climate change adaptation and cross-sectoral policy coherence in southern Africa

et al. 2018

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To be effective, climate change adaptation needs to be mainstreamed across multiple sectors and greater policy coherence is essential. Using the cases of Malawi, Tanzania and Zambia, this paper investigates the extent of coherence in national policies across the water and agriculture sectors and to climate change adaptation goals outlined in national development plans. A two-pronged qualitative approach is applied using Qualitative Document Analysis of relevant policies and plans, combined with expert interviews from non-government actors in each country. Findings show that sector policies have differing degrees of coherence on climate change adaptation, currently being strongest in Zambia and weakest in Tanzania. We also identify that sectoral policies remain more coherent in addressing immediate-term disaster management issues of floods and droughts rather than longer-term strategies for climate adaptation. Coherence between sector and climate policies and strategies is strongest when the latter has been more recently developed. However to date, this has largely been achieved by repackaging of existing sectoral policy statements into climate policies drafted by external consultants to meet international reporting needs and not by the establishment of new connections between national sectoral planning processes. For more effective mainstreaming of climate change adaptation, governments need to actively embrace longer-term cross-sectoral planning through cross-Ministerial structures, such as initiated through Zambia's Interim Climate Change Secretariat, to foster greater policy coherence and integrated adaptation planning.

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Section: Discussionsupporting

confidence: 77%

Section: Adaptation As a Cross-cutting Policy Issuementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Climate change adaptation and cross-sectoral policy coherence in southern Africa

et al. 2018

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“…Among them, a famous model is illustrated by Joao Marques taking the water issues into a broader circumstance [10]. In the following papers, a significant model is given out by the author Declan Conway and Emma Archer van Garderen who mainly focus on how the water scarcity happens and the mechanism of the water-food-energy nexus [11]. Then the ecology scientists continue to conduct a further study on the links between the detailed economic items and the water shortage.…”

Section: Introductionmentioning

confidence: 99%

A Supply-Demand Model on Allocation of Water Resources

Wu¹

2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

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Abstract. Two basic models are constructed in this paper to study water scarcity. The first model demonstrates an intuitive association between water supply and demand. The second model illustrates how to achieve the optimal allocation of water resources through our intervention. Taking Southwest America for example, this paper analyses the water scarcity condition by using supply-demand model and then gives qualitative analysis of inter basin water transfer. Conclusion shows our model has positive effect on alleviating water resources scarcity and making the distribution of water resources more reasonable. In the end, this paper analyses some strengths and weaknesses of our model to make the model more practice and applicable.

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“…Furthermore, the neural approach is particularly suitable to solve the problem of identification in the presence of noisy data (Rumelhart et al [9]; Hertz et al [10]. Gardner and Dorling [11] concluded that neural networks generally give better results compared with statistical linear methods, especially where the problem being analysed includes nonlinear behavior. Al-Alawi and Al-Hinai [12] have used ANN model to predict solar radiation in areas not covered by direct measurement instrumentation.…”

Section: Introductionmentioning

confidence: 99%

An application of the Multilayer Perceptron: Estimation of Global Solar Radiation and the Establishment of Solar Radiation Maps of Togo

Amou¹,

Boroze²,

Ouro-Djobo³

et al. 2017

RSE

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This paper presents a new neural network approach for the generation of synthetic monthly radiation data for nine localities in Togo. The neural model employed is the well-known Multi-Layer Perceptron (MLP) paradigm, in feedback architecture, using a record of historical values for the supervised network training. The method is based on the MLP ability to extract, from a sufficiently general training set, the existing relationships between variables whose interdependence is unknown a priori. Simulation results are compared to the measured values for the three towns where solar irradiation is measured in Togo. The results show that the generated values are of the real values. The method has been developed using data values from Lomé, Atakpamé and Mango, and is generalized to generate data of any location for the establishment of solar maps. Indeed, the proposed methodology is of general applicability to the estimation of highly complex temporal series.

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Climate and southern Africa's water–energy–food nexus

Abstract: Journal article;CRP5; ISI; Southern Africa‘s hydro-economy and water security (SAHEWS)EPTD; DSGDPRCGIAR Research Program on Water, Land and Ecosystems (WLE

Cited by 346 publications

References 60 publications

Climate change adaptation and cross-sectoral policy coherence in southern Africa

Climate change adaptation and cross-sectoral policy coherence in southern Africa

A Supply-Demand Model on Allocation of Water Resources

An application of the Multilayer Perceptron: Estimation of Global Solar Radiation and the Establishment of Solar Radiation Maps of Togo

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