• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

大气稳定和气候变暖对蓝藻水华的影响:基于个体的建模方法。

Impacts of atmospheric stilling and climate warming on cyanobacterial blooms: An individual-based modelling approach.

机构信息

School of Engineering and Built Environment, Griffith University, QLD 4222, Australia.

Australian Rivers Institute, Griffith University, QLD 4111, Australia.

出版信息

Water Res. 2022 Aug 1;221:118814. doi: 10.1016/j.watres.2022.118814. Epub 2022 Jul 4.

DOI:10.1016/j.watres.2022.118814
PMID:35949066
Abstract

Harmful algal blooms of the freshwater cyanobacteria genus Microcystis are a global problem and are expected to intensify with climate change. In studies of climate change impacts on Microcystis blooms, atmospheric stilling has not been considered. Stilling is expected to occur in some regions of the world with climate warming, and it will affect lake stratification regimes. We tested if stilling could affect water column Microcystis distributions using a novel individual-based model (IBM). Using the IBM coupled to a three-dimensional hydrodynamic model, we assessed responses of colonial Microcystis biomass to wind speed decrease and air temperature increase projected under a future climate. The IBM altered Microcystis colony size using relationships with turbulence from the literature, and included light, temperature, and nutrient effects on Microcystis growth using input data from a shallow urban lake. The model results show that dynamic variations in colony size are critical for accurate prediction of cyanobacterial bloom development and decay. Colony size (mean and variability) increased more than six-fold for a 20% decrease in wind speed compared with a 2 °C increase in air temperature. Our results suggest that atmospheric stilling needs to be included in projections of changes in the frequency, distribution and magnitude of blooms of buoyant, colony-forming cyanobacteria under climate change.

摘要

淡水蓝藻微囊藻属的有害藻类水华是一个全球性问题,预计随着气候变化会加剧。在研究气候变化对微囊藻水华的影响时,大气稳定度尚未被考虑。随着气候变暖,预计世界上一些地区会出现大气稳定度,这将影响湖泊分层制度。我们使用一种新的基于个体的模型 (IBM) 来测试稳定度是否会影响水柱中的微囊藻分布。我们使用 IBM 与三维水动力模型耦合,评估了在未来气候下预计的风速下降和空气温度升高对群体微囊藻生物量的响应。IBM 使用文献中的与湍流相关的关系来改变微囊藻群体的大小,并使用来自浅城市湖泊的输入数据来包括光、温度和营养对微囊藻生长的影响。模型结果表明,群体大小的动态变化对于准确预测蓝藻水华的发展和衰减至关重要。与空气温度升高 2°C 相比,风速降低 20%时,群体大小(平均值和变异性)增加了六倍以上。我们的研究结果表明,在气候变化下,对于浮性、群体形成的蓝藻的水华频率、分布和规模的变化预测,需要考虑大气稳定度。

相似文献

1
Impacts of atmospheric stilling and climate warming on cyanobacterial blooms: An individual-based modelling approach.大气稳定和气候变暖对蓝藻水华的影响:基于个体的建模方法。
Water Res. 2022 Aug 1;221:118814. doi: 10.1016/j.watres.2022.118814. Epub 2022 Jul 4.
2
How physiological and physical processes contribute to the phenology of cyanobacterial blooms in large shallow lakes: A new Euler-Lagrangian coupled model.生理和物理过程如何影响大型浅水湖泊中蓝藻水华的物候学:一种新的欧拉-拉格朗日耦合模型。
Water Res. 2018 Sep 1;140:34-43. doi: 10.1016/j.watres.2018.04.018. Epub 2018 Apr 10.
3
How rising CO and global warming may stimulate harmful cyanobacterial blooms.随着二氧化碳浓度升高和全球变暖,可能会刺激有害蓝藻水华的形成。
Harmful Algae. 2016 Apr;54:145-159. doi: 10.1016/j.hal.2015.12.006.
4
Environmental factors associated with cyanobacterial assemblages in a mesotrophic subtropical plateau lake: A focus on bloom toxicity.与中营养型亚热带高原湖泊中蓝藻群落相关的环境因素:以水华毒性为重点。
Sci Total Environ. 2021 Jul 10;777:146052. doi: 10.1016/j.scitotenv.2021.146052. Epub 2021 Feb 24.
5
The influence of changes in wind patterns on the areal extension of surface cyanobacterial blooms in a large shallow lake in China.风向变化对中国大型浅水湖中水面蓝藻水华面积扩展的影响。
Sci Total Environ. 2015 Jun 15;518-519:24-30. doi: 10.1016/j.scitotenv.2015.02.090. Epub 2015 Mar 3.
6
[Analysis of the Spatiotemporal Distribution of Algal Blooms and Its Driving Factors in Chaohu Lake Based on Multi-source Datasets].基于多源数据集的巢湖藻华时空分布及其驱动因素分析
Huan Jing Ke Xue. 2024 May 8;45(5):2694-2706. doi: 10.13227/j.hjkx.202306047.
7
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency.基于温度依赖性预测气候变化对温带河流中蓝藻水华物候的影响。
Water Res. 2024 Feb 1;249:120928. doi: 10.1016/j.watres.2023.120928. Epub 2023 Nov 25.
8
Nutrient reduction mitigated the expansion of cyanobacterial blooms caused by climate change in Lake Taihu according to Bayesian network models.根据贝叶斯网络模型,营养物质减少缓解了气候变化导致的太湖蓝藻水华扩张。
Water Res. 2023 Jun 1;236:119946. doi: 10.1016/j.watres.2023.119946. Epub 2023 Apr 7.
9
Climate warming and heat waves alter harmful cyanobacterial blooms along the benthic-pelagic interface.气候变暖和热浪改变了沿底栖-水层界面的有害蓝藻水华。
Ecology. 2020 Jul;101(7):e03025. doi: 10.1002/ecy.3025. Epub 2020 Mar 20.
10
Temporal dependence of chlorophyll a-nutrient relationships in Lake Taihu: Drivers and management implications.太湖叶绿素 a-营养盐关系的时间依赖性:驱动因素与管理启示。
J Environ Manage. 2022 Mar 15;306:114476. doi: 10.1016/j.jenvman.2022.114476. Epub 2022 Jan 17.

引用本文的文献

1
Dynamics of surface scum formation under different wind conditions: the role of hydrodynamic processes at the air-water interface.不同风况下水面浮沫形成的动力学:气-水界面水动力过程的作用
Front Plant Sci. 2024 Mar 11;15:1370874. doi: 10.3389/fpls.2024.1370874. eCollection 2024.
2
Selection of photosynthetic traits by turbulent mixing governs formation of cyanobacterial blooms in shallow eutrophic lakes.湍流传质作用对光合作用特性的选择决定了浅水富营养化湖泊中蓝藻水华的形成。
ISME J. 2024 Jan 8;18(1). doi: 10.1093/ismejo/wrae021.