测试非对称响应概念:模拟多重压力因素暴露和释放在流食物网中的模型
Annabel Kuppels1, Helena S Bayat2, Svenja M Gillmann3
1Ruhr University Bochum, Faculty of Biology and Biotechnology, Theoretical and Applied Biodiversity Research, Bochum, Germany.
The Science of the total environment
|July 14, 2024
概括
河流生态系统表现出对压力因素的不对称反应,原因是耐受性,分散性和生物相互作用. 一个食物网模型揭示了功能组是功能组.
科学领域:
- 生态生态学 生态生态学
- 环境科学 环境科学
- 水生生态系统 水生生态系统
背景情况:
- 流社区经常表现出从压力因素中缓慢和不完全的恢复,这种现象被称为不对称反应.
- 非对称响应概念 (ARC) 认为,这是由耐受性,分散性和生物相互作用的转变所驱动的.
- 复杂的食物网中的间接影响可能会使这些反应复杂化,其机制尚不清楚.
研究的目的:
- 为了研究耐受性,分散性和生物相互作用如何影响不同压力场景下的流食物网络动态.
- 为了确定物种群体是否像个体耐受性排名预测的那样在动态食物网背景下下降.
- 评估生态系统功能是否反映了社区对压力因素的反应.
主要方法:
- 使用流食物网模型来模拟各种时间压力因素场景,包括单个和多个压力因素 (盐和温度增加).
- 个人容忍度的数据被汇总到功能组级别.
- 该研究分析了对食物网动态和营养循环的影响,并将实验室耐受性数据与模型结果进行比较.
主要成果:
- 与实验室实验相比,功能组在动态食物网模型中显示了不同的相对耐受度排名.
- 高度的盐导致功能组损失,而高温导致显著损失,无论盐的存在.
- 在压力因素的影响下,社区反应和生态系统功能往往有所不同.
结论:
- 该研究强调,个体耐受性排名不能完全预测复杂的流食物网中的物种群衰退.
- 在这个模型中,温度出现了比盐更强大的压力因素,影响了测试水平的功能组.
- 社区和生态系统功能反应之间的差异凸显了压力下流生态系统动态的复杂性,需要在ARC框架内进一步调查.
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