Ecosystem services from nature-based solutions: Assessment and valuation of mangroves in macao

Nature-based Solutions (NbS) offer a sustainable approach to mitigating climate change and biodiversity loss while delivering socio-economic benefits. This study examines mangroves as a key NbS in Macao, assessing their ecosystem services and economic valuation through a hedonic pricing model. Despite their limited spatial coverage, Macao's mangroves provide critical services, including coastal protection, carbon sequestration, and habitat provision, yet face threats from invasive species and urbanization. The research employs a hedonic pricing model to analyze the relationship between property prices and proximity to mangrove ecosystems in Macao Peninsula, Taipa, and Coloane. Results demonstrate a statistically significant negative correlation, indicating that residential properties closer to mangrove areas command higher prices, reflecting the premium placed on ecological amenities. The model explains 65.0% of price variation, underscoring mangroves' influence on real estate values. This study contributes a novel valuation framework for mangrove ecosystem services in high-density coastal cities, integrating ecological and economic perspectives. The findings support evidence-based policy recommendations for mangrove conservation and sustainable urban development. Future research should expand the model to incorporate additional variables and longitudinal data to enhance predictive accuracy and applicability across diverse coastal regions. Biodiversity assessment and conservation planning in highly urbanized environments. 基于自然的解决方案（NbS）为缓解气候变化和生物多样性丧失提供了一种可持续的方法，同时还能带来社会经济利益。本研究以澳门的红树林为例，探讨其作为关键的基于自然的解决方案的作用，通过享乐定价模型评估其生态系统服务和经济价值。尽管澳门红树林的分布面积有限，但它们提供了重要的服务，包括海岸保护、碳封存和栖息地提供，然而却面临着外来物种入侵和城市化的威胁。 研究采用享乐定价模型，分析澳门半岛、氹仔和路环地区房产价格与红树林生态系统距离之间的关系。结果表明，两者之间存在显著的负相关关系，即靠近红树林区域的住宅价格更高，这反映了人们对生态设施的重视。该模型解释了 65.0%的价格差异，突显了红树林对房地产价值的影响。 本研究为高密度沿海城市的红树林生态系统服务提供了一种新的估值框架，将生态和经济视角相结合。这些发现为红树林保护和可持续城市发展提供了基于证据的政策建议。未来的研究应扩展该模型，纳入更多变量和纵向数据，以提高预测的准确性和在不同沿海地区的适用性。在高度城市化环境中进行生物多样性评估和保护规划。