基于PCLake模型和生态网络分析的Baiyangdian湖负荷的生态值
Yong Zeng1, Gaiguo Liu1, Jiaxin Li1
1State Key Laboratory of Heavy Oil Processing, Beijing Key Laboratory of Oil & Gas Pollution Control, College of Chemical Engineering and Environment, China University of Petroleum, Beijing 102249, China.
The Science of the total environment
|January 15, 2024
概括
用生态网络分析 (ENA) 指标确定了白阳地湖的生态值,揭示了系统级对负载的反应. 结合ENA和浮游植物值,可以提供更精确的湖泊管理策略.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 临界技术 临界技术
背景情况:
- 传统的湖泊管理通常依赖于叶绿素a (Chla) 值,忽视了生态系统的整体健康.
- 生态值对于有效的湖泊管理至关重要,但目前的方法可能不足.
- 白阳地 (BYD) 湖的生态系统功能和结构对营养物质负载,特别是很敏感.
研究的目的:
- 通过生态网络分析 (ENA) 指标量化比亚迪湖的整体生态状态.
- 根据系统级反应确定负荷的生态值,而不仅仅是Chla.
- 调查ENA指标的时间延迟影响,并提出综合管理策略.
主要方法:
- 为比亚迪湖建造了一个PCLake模型,结合了六个ENA指标.
- 使用不同负荷场景的模拟来评估生态反应.
- 分析了负载梯度和ENA指标之间的驾驶反应关系,以确定值.
主要成果:
- 负载对比亚迪湖的生态系统产生了重大影响,导致ENA指标的非线性过渡.
- 含量增加导致D/H,SOI和FCI等指标下降,而A/DC,TPP/TR和TPP/TB增加.
- 确定了对整体生态系统性能 (0.50-1.32 mg m-2 d-1) 的负荷值,在 ENA 指标响应中显著的时间延迟效应.
结论:
- 系统级ENA指标提供了比Chla.等单个参数更全面的湖泊生态系统健康的评估.
- 在ENA指标中发现的时间延迟效应为积极的生物多样性保护提供了机会.
- 建议采用综合管理策略,将系统级 (ENA) 和功能组级 (植物浮游生物) 门结合起来,以实现精确有效的湖泊管理.
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