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Acclimatise

Country: United Kingdom
3 Projects, page 1 of 1
  • Funder: UK Research and Innovation Project Code: NE/I022183/1
    Funder Contribution: 99,283 GBP

    Our vision: To impel climate change mitigation action by motivating private investments in sustainably managed forest ecosystem services. Our contribution: To address a critical KE gap between expertise on the mapping, modelling and quantification of the risk of forest carbon loss, and investor's confidence in forest investments (including in REDD+). Our focus: To address 4 categories of risks (i) Climatic (ii) Fire (iii) Anthropogenic and (iv) Regulatory. Our aim: To stimulate the exploitation of UK's world-class knowledge base -NERC and elsewhere - in forest loss and risk mapping by the UK knowledge brokers and financial institutions. Our impacts: To deliver, as a consequence of this work, a more accurate and holistic understanding of the real risk represented by forest propositions around the world; a more stable and mainstream investment environment for forestry and; to bring forestry from the margins of business, to a business line as common as aviation, motor or life and pensions. We request funding for a period of 12 months to support the creation of a ForestRisks-for-Finance Network. Partners, including WillisRE Ltd., ForestRe Ltd., Ecometrica Ltd, Acclimatise Ltd. The Edinburgh Centre on Climate Change, and Forest Research will contribute more than £55,000 in-cash and in-kind to this KE initiative. A PDRA will be appointed to effectively bring together the NERC funded and UK research community (on forest-loss risks) as well as to proactively engage with potential users (Brokers & End users). This initiative stems from (a) recommendations made at the NERC-funded Long Finance symposia on "Forestry and Finance: Where's the data" (London, July 2010 and Sept 2010), to which the PI (Patenaude) was an invited panellist and (b) the wider KE activities led by Richard Max-Lino (NERC Knowledge and Innovation Manager, Financial Services) and the Long Finance initiative (http://www.zyen.com/long-finance.html).

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  • Funder: UK Research and Innovation Project Code: NE/J019720/1
    Funder Contribution: 100,502 GBP

    We are losing forests at a rate of circa one football pitch every 3 seconds. Urgent and large scale financing is required to prevent further deforestation and forest degradation. Yet, securing sufficient and long-term investments in carbon-related forest assets is a challenge, partly because of the liability of reversals and because the risks associated with such investments are perceived as either high or unknown. Better information on risks of forest loss are needed. We therefore propose a knowledge exchange forest-specific risk-toolbox for adoption by the investment community. Five Demonstrator Case Studies will be used to illustrate how NERC science can be converted and used in meaningful ways by the financial sector interested in forest assets. The five case studies are structured along key investment themes reflecting current and forecasted demand for forest investments (Timber, Afforestation/ Reforestation, REDD+, Voluntary Carbon Market and Forest Bonds). We propose to leverage the ongoing NERC KE network 'Forest-Finance risk network: towards stable investment environments' (thereafter referred to as Network -NE/IO22183/1). Key deliverables to this ongoing work include a database of experts and tools for the assessment of risks of forest loss. Early findings highlight that while significant expertise and datasets in the UK are available, the financial community requires demonstration for their potential use (Davies & Patenaude, in press). We request NERC funding for a period of 12 months to support the following three activities: the development of the forest specific risk toolbox to be adopted by the forest investment community; the identification of missing risk assessment opportunities and tools; and the dissemination of the demonstrator case studies illustrating how NERC data and research can be converted into a form that can be readily used. The continuous support from our existing (as well as new) partners (including Willis RE Ltd., ForestRe Ltd., the Global Canopy Programme, Verified Carbon Standard Ltd, Enviromarkets Ltd. Ecometrica Ltd, Bosques Amazonicas Ltd., Acclimatise Ltd., The Edinburgh Centre on Climate Change, and the Forest Research) is a clear demonstration of the need for this KE activity. Combined, they will contribute more than £100,000 in-cash and in-kind to this KE initiative. Our Knowledge Translator will effectively develop the toolbox, bring together the case studies and proactively engage with the users.

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  • Funder: UK Research and Innovation Project Code: NE/V017756/1
    Funder Contribution: 5,212,430 GBP

    Climate and environmental (CE) risks (CER) to our economy and society are accelerating. CER include climate-related physical risks such as floods, storms, or changing growing seasons; climate-related transition risks such as carbon pricing and climate litigation; and environmental risks such as biodiversity loss. It is now well accepted that CER can impact asset values across multiple sectors and pose a threat to the solvency of financial institutions (FIs). This can cause cascading effects with the potential to undermine financial stability. The adoption of CER analytics will ensure that CE risks can be properly measured, priced, and managed by individual FIs and across the financial system. This is also a necessary condition to ensure that capital is allocated by FIs towards technologies, infrastructure, and business models that lower CER, which are also those required to deliver the net zero carbon transition, climate resilience, and sustainable development. These twin tracks - greening finance and financing green - are both enabled by CER analytics being appropriately used by FIs. The UK is a world-leader in Green Finance (GF). UK FIs have played a key role in GF innovation. Yet, despite these advances and leadership in almost every aspect of GF, UK FIs cannot secure the data and analytics needed to properly measure and manage their exposures to CER. While the last decade has seen the exponential growth of CE data, as well as improved analytics and methods, often produced by world-leading UK science, the vast majority of this has not found its way into FI decision-making. Our vision for CERAF is to establish a new national centre to resolve this disconnect. CERAF aims to enable a step-change in the provision and accessibility of data, analytics, and guidance and accelerate the integration of CER into products and decisions by FIs to manage CER risks and drive efficient and sustainable investment decisions, thereby delivering the following impacts: - Enhance the solvency of individual FIs in the UK and globally and so contribute to the resilience of the global financial system as a whole for all, as well the efficient pricing and reallocation of capital away from assets at risk to those that are more resilient. - Underpin the development and the growth of UK GF-related products and services. - Enable a vibrant ecosystem of UK enterprises providing CER analytics and realise the opportunity for UK plc of being a world-leader in the creation and provision of CER services. Our vision is that CERAF will be the nucleus of a new national centre established to deliver world-leading research, information, and innovation to systematically accelerate the adoption and use of CER data and analytics by FIs and to unlock opportunities for the UK to lead internationally in delivering CER services to support advancements in greening finance and financing green globally It aims to overcome the following barriers: 1) Making existing data on hazards, vulnerabilities, and exposures more accessible and useable for FIs, with clearly communicated confidence and with analytics that does not yet exist being secured; 2) Consistency and standards to reduce fragmentation, facilitate innovative products and enable the efficient flow and use of data; 3) Assurance and suitability are needed to understand which CER analytics are best suited for particular uses and provide transparency into underlying data and methodologies, so that CER analytics can be trusted and used; 4) Unlocking innovation through supporting FIs to test new approaches in a lower-risk way; and 5) Building capability, knowledge, and skills within FIs to analyse and interpret CER data. Resolving these barriers is a necessary condition for repricing capital and avoiding its misallocation, and achieving the UK's ambitions on GF.

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