建模时间变化的浮游植物补贴,揭示了智利潮间生态系统中的危物种
Casey Duckwall1,2, John L Largier3,4, Evie A Wieters5
1Department of Environmental Science and Policy, University of California, Davis, Wickson Hall, 1 Shields Avenue, Davis, CA, 95616, USA. csduckwall@ucdavis.edu.
Scientific reports
|March 25, 2024
概括
这项研究将智利的潮间生态系统模拟为使用全米热带网络 (ATN) 框架,并纳入可变植物浮游生物输入. 结果揭示了不同物种对食物网脉冲的反应,捕食者面临更高的灭绝风险.
科学领域:
- 生态生态学 生态生态学
- 海洋生物学 海洋生物学
- 生态系统建模 生态系统建模
背景情况:
- 全尺度热量网络 (ATN) 框架模型人口动态和生态系统运行.
- 潮间生态系统通常依赖于邻近环境的初级生产力补贴.
- 以前的ATN模型使用了恒定的植物浮游生物输入,不反映现实世界的变化.
研究的目的:
- 扩展ATN建模,将实证的,可变的海色素a度数据纳入潮间生态系统模型.
- 模拟潮间生态系统对海底浮游植物脉冲的反应.
- 评估可变初级生产率对食物网结构和物种生物质的影响.
主要方法:
- 扩展了全尺度热量网络 (ATN) 框架,包括鱼类叶绿素-a度的时间序列数据.
- 在智利中部模拟了一个潮间生态系统,模拟对可变植物浮游生物输入的反应.
- 分析了浮游生物和潮间生物混合率对物种生物质波动的影响.
主要成果:
- 包括密切相关的海牛在内的物种对植物浮游生物的变异性表现出不同的反应,这与食物网结构有关.
- 增加的海和潮间混合导致了更大的生物质波动,增加了当地除风险.
- 捕食物种对植物浮游生物质波动最敏感,面临更高的局部灭绝风险.
结论:
- 可变的植物浮游生物输入显著影响潮间生态系统动态和物种的生存.
- 食物网的结构调解了物种对环境变化的弹性.
- 该研究提出了一种将经验时间序列数据集成到ATN模型中的方法,提高了它们的适用性.
更多相关视频
相关概念视频
01:07Speciation Rates
Speciation can proceed at markedly different rates, and evolutionary biologists commonly describe these differences through the models of gradualism and punctuated equilibrium. Both patterns explain how new species arise, but they differ in the tempo and continuity of evolutionary change. In both cases, evolutionary change arises from heritable variation within populations, with natural selection often shaping traits that improve survival and reproduction under specific environmental conditions.
01:30Marine Microbial Ecology
Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...
01:24Freshwater Microbial Ecology
Freshwater systems such as streams, rivers, and lakes exhibit distinct physical and biological characteristics that influence their microbial communities. These environments are broadly categorized into lotic systems—those with flowing waters like streams and most rivers—and lentic systems, which include still or slow-moving waters such as lakes, ponds, and marshes.In lentic systems, phytoplankton drive primary production, generating autochthonous organic carbon. In contrast, lotic systems...