Browsing by Author "Qu Z"

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    Dynamic economic valuation of coastal wetland restoration: A nature-based solution for climate and biodiversity
    (Elsevier B V, 2025-09) Yang W; Tanner CC; Holland P; Qu Z
    This paper explores the dynamic linkage between coastal wetland restoration and the resulting economic benefits, with a focus on nonmarket values such as climate regulation and biodiversity conservation. Coastal wetlands are recognised as highly effective natural carbon sinks, offering significant ecosystem services that contribute to climate change mitigation and adaptation. By utilising a modelling framework that integrates ecological recovery processes and economic valuations over a 100-year period, we provide insights into optimising long-term returns from wetland restoration. This study emphasises the importance of accounting for the temporal dynamics of ecosystem recovery, highlighting the lag between restoration activities and full ecosystem functionality. Our findings highlight the importance of nature-based solutions in global climate finance strategies and emphasise the need for more accurate, targeted investment in wetland restoration. This approach ensures that resources are allocated efficiently over time, maximising the benefits of enhancing coastal resilience and achieving long-term climate goals.
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    Economic indicator system for adaptive monitoring of compound climate change risks
    (Elsevier B.V., 2024-07-26) Qu Z; Yang W; Allison A; Blackett P
    Climate change adaptation requires proactive development of adaptive planning strategies. To implement such strategies, it is crucial to identify indicators that can monitor and signal approaching adaptation thresholds. While existing research has focused on physical and hazard-based indicators, addressing social and economic indicators is essential for informed decision-making. This research aims to fill this gap by compiling 298 economic indicators across six categories: fiscal factors for central, regional, and local governments; financial system indicators; indicators for industries, businesses, and public organisations; and indicators for identifying socially vulnerable populations due to climate change. Derived from previous studies and the national climate change risk assessment framework, these indicators aim to provide policymakers at all levels and communities with a ready-to-use toolbox for monitoring climate change economic risks. Additionally, the research identifies measurable indicators as well as those that cannot currently be measured but could potentially be quantified. Future work involves further analysis and mapping of these indicators to form a cohesive set warning of the need for adaptation measures, aiming to equip decision-makers with tools to address the economic impacts of climate change.