Nuyts Siegmund, Wartman Melissa, Macreadie Peter I, Costa Micheli D P
Deakin Marine Research and Innovation Centre, School of Life and Environmental Sciences, Deakin University, Burwood, VIC, Australia.
Deakin Marine Research and Innovation Centre, School of Life and Environmental Sciences, Deakin University, Burwood, VIC, Australia.
Sci Total Environ. 2024 Nov 1;949:175085. doi: 10.1016/j.scitotenv.2024.175085. Epub 2024 Jul 28.
Blue carbon ecosystems (BCEs), encompassing mangroves, saltmarshes, and seagrasses, are vital ecosystems that deliver valuable services such as carbon sequestration, biodiversity support, and coastal protection. However, these ecosystems are threatened by various anthropogenic factors, including tidal restrictions like levees, barriers, and embankments. These structures alter the natural seawater flow, often converting coastal ecosystems into freshwater environments. Identifying tidal restrictions and assessing their suitability for tidal restoration in areas amenable for coastal management is a crucial first step to successfully restore BCEs and the associated ecosystem services they provide, i.e., managed realignment. This study presents a novel approach for detecting tidal restrictions in the state of Victoria, Australia, using high-resolution LiDAR data, geospatial analysis techniques, and a multi-criteria scoring system. Our model successfully identified 90 % of known tidal restrictions from an existing dataset, while also detecting an additional 118 potential tidal restrictions, representing a 35 % increase. The model performance analysis revealed trade-offs between precision, recall, and noise ratio when using different noise reduction thresholds, highlighting the importance of selecting an appropriate threshold based on project objectives. The multi-criteria scoring system, which considered factors such as proximity to BCEs and current land use, enabled the selection of tidal restrictions based on their hydrological suitability for restoration. The results of this study have significant implications for BCE restoration efforts not only in Victoria, but more broadly across Australia and globally, providing a systematic approach to identifying and targeting areas with the greatest potential for successful restoration projects. While the approach is low-cost and user-friendly, it is dependent on the availability of LiDAR data for the study area. This can make it accessible to researchers and practitioners worldwide, allowing for its adaptation and application in diverse regions to support global efforts in restoring BCEs through tidal restoration.
蓝碳生态系统（BCEs）包括红树林、盐沼和海草床，是重要的生态系统，能提供诸如碳固存、生物多样性支持和海岸保护等有价值的服务。然而，这些生态系统受到各种人为因素的威胁，包括诸如堤坝、屏障和路堤等潮汐限制。这些结构改变了自然海水流动，常常将沿海生态系统转变为淡水环境。识别潮汐限制并评估其在适合海岸管理的区域进行潮汐恢复的适宜性，是成功恢复蓝碳生态系统及其提供的相关生态系统服务（即管理性海岸地貌调整）的关键第一步。本研究提出了一种利用高分辨率激光雷达数据、地理空间分析技术和多标准评分系统来检测澳大利亚维多利亚州潮汐限制的新方法。我们的模型成功地从现有数据集中识别出了90%已知的潮汐限制，同时还检测到了另外118个潜在的潮汐限制，增幅达35%。模型性能分析揭示了使用不同降噪阈值时在精度、召回率和噪声比之间的权衡，凸显了根据项目目标选择合适阈值的重要性。多标准评分系统考虑了诸如与蓝碳生态系统的距离和当前土地利用等因素，能够根据其水文恢复适宜性来选择潮汐限制。本研究的结果不仅对维多利亚州的蓝碳生态系统恢复工作具有重要意义，而且在更广泛的澳大利亚乃至全球范围内都有重要意义，为识别和确定具有最大成功恢复项目潜力的区域提供了一种系统方法。虽然该方法成本低且用户友好，但它依赖于研究区域激光雷达数据的可用性。这使得全球的研究人员和从业者都能够使用，允许其在不同地区进行调整和应用，以支持通过潮汐恢复来恢复蓝碳生态系统的全球努力。
