{"title":"推动和拉动藻华:近岸浮游植物生物量变化的物理控制","authors":"Medea Zanoli, Gotzon Basterretxea, Idan Tuval","doi":"10.1016/j.ecolmodel.2025.111290","DOIUrl":null,"url":null,"abstract":"<div><div>High-biomass microalgal blooms frequently occur in littoral environments worldwide, often causing noxious effects on aquatic ecosystems and coastal communities. Here, we combine field observations and a simple retention–dispersion model to disentangle the short-term (<span><math><mo>∼</mo></math></span>hours) environmental drivers shaping the nearshore dynamics of such outbreaks. Temperature, salinity, fluorescence, current velocities, and meteorological variables were measured in the nearshore waters of a coastal location in Mallorca (Balearic Islands) during the summer of 2018. Daily averages from field data were used to adjust wind and buoyancy flow variations into a one-dimensional advection–diffusion model in the cross-shore direction. Results reveal that the interplay between wind forcing and cross-shore density gradients drives an alternating retention–dispersion mechanism, effectively explaining the observed diel chlorophyll variability within the nearshore boundary. This simplified model captures the primary dynamics of the bloom, isolating key factors that influence its behavior and offering practical insights for coastal water quality monitoring and management.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"510 ","pages":"Article 111290"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pushing and pulling an algal bloom: Physical controls of diel variability in nearshore phytoplankton biomass\",\"authors\":\"Medea Zanoli, Gotzon Basterretxea, Idan Tuval\",\"doi\":\"10.1016/j.ecolmodel.2025.111290\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>High-biomass microalgal blooms frequently occur in littoral environments worldwide, often causing noxious effects on aquatic ecosystems and coastal communities. Here, we combine field observations and a simple retention–dispersion model to disentangle the short-term (<span><math><mo>∼</mo></math></span>hours) environmental drivers shaping the nearshore dynamics of such outbreaks. Temperature, salinity, fluorescence, current velocities, and meteorological variables were measured in the nearshore waters of a coastal location in Mallorca (Balearic Islands) during the summer of 2018. Daily averages from field data were used to adjust wind and buoyancy flow variations into a one-dimensional advection–diffusion model in the cross-shore direction. Results reveal that the interplay between wind forcing and cross-shore density gradients drives an alternating retention–dispersion mechanism, effectively explaining the observed diel chlorophyll variability within the nearshore boundary. This simplified model captures the primary dynamics of the bloom, isolating key factors that influence its behavior and offering practical insights for coastal water quality monitoring and management.</div></div>\",\"PeriodicalId\":51043,\"journal\":{\"name\":\"Ecological Modelling\",\"volume\":\"510 \",\"pages\":\"Article 111290\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Modelling\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0304380025002765\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025002765","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
Pushing and pulling an algal bloom: Physical controls of diel variability in nearshore phytoplankton biomass
High-biomass microalgal blooms frequently occur in littoral environments worldwide, often causing noxious effects on aquatic ecosystems and coastal communities. Here, we combine field observations and a simple retention–dispersion model to disentangle the short-term (hours) environmental drivers shaping the nearshore dynamics of such outbreaks. Temperature, salinity, fluorescence, current velocities, and meteorological variables were measured in the nearshore waters of a coastal location in Mallorca (Balearic Islands) during the summer of 2018. Daily averages from field data were used to adjust wind and buoyancy flow variations into a one-dimensional advection–diffusion model in the cross-shore direction. Results reveal that the interplay between wind forcing and cross-shore density gradients drives an alternating retention–dispersion mechanism, effectively explaining the observed diel chlorophyll variability within the nearshore boundary. This simplified model captures the primary dynamics of the bloom, isolating key factors that influence its behavior and offering practical insights for coastal water quality monitoring and management.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).