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通过使用随机森林分类模型,确定沿海湿地降级的驱动水体构成因素
Keqi He1, Wenhong Li1, Yu Zhang2
1Earth and Climate Sciences, Nicholas School of the Environment, Duke University, Durham, NC 27708, USA.
The Science of the total environment
|June 21, 2023
概括
沿海湿地退化是由各种水文地理因素驱动的. 盐水的入侵威胁着木质湿地,而洪水和干旱影响新兴的草本类型,需要有针对性的保护工作.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 气候变化科学 气候变化科学
背景情况:
- 沿海湿地提供重要的生态系统服务,但由于气候变化,海平面上升和人类活动而面临退化.
- 水文过程是干扰降低沿海湿地的关键途径,但关键驱动因素仍未得到充分研究.
研究的目的:
- 调查三个不同的沿海湿地降级类型的主要驱动因素:木质湿地损失,新兴草湿地损失和木质到新兴草湿地转换.
- 确定水体形过程的相对重要性,并确定影响这些湿地变化的主要变量.
主要方法:
- 采用随机森林分类模型来分析美国北卡罗来纳州鱼河国家野生动物保护区的湿地生态系统 (1995-2019).
- 评估了分类模型的准确性,总的准确性超过97%.
主要成果:
- 水态变量集体驱动沿海湿地的降级,主要因素因湿地类型而异.
- 森林湿地对盐水入侵非常脆弱 (如果盐水平面深度小于0.2米,则降级).
- 新兴的草生湿地对洪水和干旱很敏感 (最佳的地下水平面:地表上方0.34米至地表下方0.32米). 运河/沟的距离会影响木质湿地降级后的命运.
结论:
- 机器学习模型揭示了不同沿海湿地降级类型的关键水态变量值.
- 调查结果提供了有效,有针对性的保护,管理和恢复脆弱的沿海湿地的基本数据.
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