Mittal, N orcid.org/0000-0002-7875-9952, Rowell, DP, Dougill, AJ orcid.org/0000-0002-3422-8228 et al. (7 more authors) (2021) Tailored climate projections to assess site-specific vulnerability of tea production. Climate Risk Management, 34. 100367. ISSN 2212-0963
Abstract
Tailored climate change information is essential to understand future climate risks and identify relevant adaptation strategies. However, distilling and effectively communicating decision-relevant information from climate science remains challenging. In this paper, we develop and apply an iterative stakeholder engagement approach and a Site Specific Synthesis of Projected Range (SPR), to co-produce future climate information for Africa’s largest tea producing nations - Kenya and Malawi - for the mid-and late-21st century. SPR provides a novel analysis approach, which combines long-term station observations with projections from 29 global climate models and the first convection-permitting high-resolution climate projection for Africa (CP4A). This addresses the mismatch between spatial scales of projections, large-scale modelling uncertainties and stakeholder need for site-specific information. Iterative stakeholder engagement and communication helped to build trust, allowed use of new observation data and improved visualisations of climate information for stakeholders. SPR demonstrates site-specificity in changes in all metrics, showing risks of large changes in tea crop sensitive metrics. All nine locations analysed show substantial (up to four times) increases in heatwave days and large decreases in cold nights by 2050s compared to the current climate. While tea producers are already witnessing changing climatic conditions, potential future changes will greatly affect the resilience of tea production, thereby affecting the sustainability and quality of tea production in the region. Site specific climate information iteratively co-produced with stakeholders helps them to identify location-specific adaptation strategies and investment priorities, potentially safeguarding supply-chains and millions of livelihoods.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC-BY license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | Climate information; Co-production; Observations; Sub-Saharan Africa; Malawi; Kenya |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Inst for Climate & Atmos Science (ICAS) (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Funding Information: | Funder Grant number NERC (Natural Environment Research Council) NE/M017176/1 NERC (Natural Environment Research Council) NE/M02038X/1 Climate & Development Knowledge Network Not Known PwC (PricewaterhouseCoopers) No External Reference NERC (Natural Environment Research Council) NE/M02038X/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Oct 2021 15:05 |
Last Modified: | 17 Jan 2023 16:37 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.crm.2021.100367 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179105 |