适应性堆叠物种分布建模:用于支持海洋管理的蓝色碳大规模量化新方法
Jack Sheehy1, Sandy Kerr1, Michael Bell1
1International Centre for Island Technology, Heriot-Watt University, Orkney Campus, Robert Rendall Building, Franklin Road, Stromness, Orkney, KW16 3AW, Scotland, United Kingdom of Great Britain and Northern Ireland.
The Science of the total environment
|July 24, 2024
概括
本研究介绍了适应堆叠物种分布模型 (AS-SDMs),用于绘制奥克尼岛的蓝色碳息地图. 这些模型确定了碳补偿项目的关键领域,这些项目具有重要的碳储量和封存潜力.
科学领域:
- 海洋生态海洋生态学
- 气候变化科学 气候变化科学
- 生态建模 生态建模
背景情况:
- 蓝色碳息地对于碳捕获至关重要.
- 准确地绘制这些息地的地图对于保护和减缓气候变化至关重要.
- 现有的模型可能无法完全捕捉蓝碳生态系统的复杂性.
研究的目的:
- 引入和应用自适应堆叠物种分布模型 (AS-SDMs) 来预测奥克尼岛的蓝色碳息地分布,丰度,碳库存和封存潜力.
- 开发一种新的方法来表征影响关键蓝碳物种的基质类型.
- 识别和评估潜在的蓝色碳抵消项目领域.
主要方法:
- 使用加权增强回归树 (WBRT) 开发AS-SDM.
- 基于泥土,沙子和石输入的新型基板特性.
- 应用索引以减轻混合物种模型中的双重计数.
主要成果:
- 估计的海草,马,马和混合息地的最大覆盖面为657平方公里.
- 据估计,沉积碳总储量为16万. C,每年封存6000 C年−1.1.
- 确定了六个关键的蓝色碳抵消项目领域 (约. 9公里2) 拥有大量的碳库存和封存潜力,价值数百万英.
结论:
- AS-SDMs为评估蓝色碳资源提供了一个强大的框架.
- 确定的地区为蓝色碳抵消项目提供了巨大的潜力.
- 该研究强调了奥克尼群岛海洋碳捕获的经济价值.
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