A review of spatial structure of freshwater food webs: Issues and opportunities modeling within‐lake meta‐ecosystems DOI
Jonathan J. Borrelli, Rick A. Relyea

Limnology and Oceanography, Год журнала: 2022, Номер 67(8), С. 1746 - 1759

Опубликована: Июнь 9, 2022

Abstract Lakes are currently facing multiple anthropogenic stressors impacting their ecological communities. The best way to understand how these systems will be affected by the changing environment is modeling community dynamics. Models of lake food webs have tended focus on pelagic organisms and treat lakes as if they contain single, uniform However, heterogeneity in environmental conditions resource availability generates within‐lake compartmentalization web structure. Turnover among species interactions resulting from differences depth substrate type creates unique different regions lakes. Food within can therefore represented a three‐dimensional meta‐ecosystem, where compartments connected flows nutrients, materials, consumers with variable degrees mobility lake. We review spatially structured processes that connect parts ecosystem. then discuss current approaches address spatial communities, highlighting key methods some constraints preventing more explicit representation webs. Finally, we recommend use allometric trophic networks make easier. By capitalizing empirically described relationships parameterize trophically complex webs, balance generalizable model system‐specific needs. Given nature many threats freshwater lakes, building an understanding space structures imperative create better for management conservation.

Язык: Английский

Distinct phytoplankton size classes respond differently to biotic and abiotic factors DOI Creative Commons

Stefanie Eyring,

Ewa Merz, Marta Reyes

и другие.

ISME Communications, Год журнала: 2025, Номер 5(1)

Опубликована: Янв. 1, 2025

Abstract The interplay between abiotic (resource supply, temperature) and biotic (grazing) factors determines growth loss processes in phytoplankton through resource competition trophic interactions, which are mediated by morphological traits like size. Here, we study the relative importance of grazers, water physics, chemistry on daily net accumulation rates (ARs) individual from natural communities, grouped into six size classes circa 10 to 500 μm. Using a Random Forest modelling approach 4 years data lake, find that temperature is generally pivotal control all ARs. At same time, nutrients light important for smallest largest classes. Mesozooplankton abundance key predictor AR small phytoplankton, with microzooplankton being middle-size range. In our data, large have different (seasonal) blooming patterns: forms favoured low grazing, high phosphorus levels. Larger show positive ARs at temperatures (being relatively insensitive zooplankton grazing). These results help us understand opportunities limitations using explain model responses environmental change.

Язык: Английский

Процитировано

2
Nitrogen-enriched discharges from a highly managed watershed intensify red tide (Karenia brevis) blooms in southwest Florida DOI Creative Commons
Miles Medina, David Kaplan, Eric C. Milbrandt

и другие.

The Science of The Total Environment, Год журнала: 2022, Номер 827, С. 154149 - 154149

Опубликована: Фев. 25, 2022

Язык: Английский

Процитировано

61
Prediction of chlorophyll a and risk assessment of water blooms in Poyang Lake based on a machine learning method DOI
Hua‐Dong Huang, Jing Zhang

Environmental Pollution, Год журнала: 2024, Номер 347, С. 123501 - 123501

Опубликована: Фев. 10, 2024

Язык: Английский

Процитировано

9
Rainstorm events trigger algal blooms in a large oligotrophic reservoir DOI
Pengcheng Shi, Mengyuan Zhu,

Rifu You

и другие.

Journal of Hydrology, Год журнала: 2023, Номер 622, С. 129711 - 129711

Опубликована: Май 25, 2023

Язык: Английский

Процитировано

22
Time-series modelling of harmful cyanobacteria blooms by convolutional neural networks and wavelet generated time-frequency images of environmental driving variables DOI Creative Commons
Hyo Gyeom Kim, Kyung Hwa Cho, Friedrich Recknagel

и другие.

Water Research, Год журнала: 2023, Номер 246, С. 120662 - 120662

Опубликована: Сен. 22, 2023

Early warning systems for harmful cyanobacterial blooms (HCBs) that enable precautional control measures within water bodies and in works are largely based on inferential time-series modelling. Among deep learning techniques, convolutional neural networks (CNNs) widely applied recognition of pictorial, acoustic thermal images. Time-frequency images environmental drivers generated by wavelets may provide crucial signals modelling HCBs to be recognized CNNs. This study applies CNNs Microcystis sp. four South Korean rivers between 2016 2022 means time-frequency the lead time HCBs. After estimating cardinal dates beginning, peak, ending HCBs, wavelet analysis identified key phase 3, 4 5 years. Performances were compared terms determinants input images: methods critical timings, number segments, continuity, image size. The resulting predicted high or low intensities with a mean accuracy 97.79 ± 0.06% F1-score 97.49 training dataset, 95.01 93.30 0.07% testing dataset. Predictions abundances achieved MSE 2.58 2.46 R2 0.78 0.20 training, 2.76 2.42 0.55 Precipitation discharge appeared best performing qualitative quantitative predictions pointing at nonstationary nature river habitats. highlights opportunities driven variables forecasting

Язык: Английский

Процитировано

22
Projected climate change impact on cyanobacterial bloom phenology in temperate rivers based on temperature dependency DOI
Hyo Gyeom Kim, YoonKyung Cha, Kyung Hwa Cho

и другие.

Water Research, Год журнала: 2023, Номер 249, С. 120928 - 120928

Опубликована: Ноя. 25, 2023

Язык: Английский

Процитировано

20
Patterns in the temporal complexity of global chlorophyll concentration DOI Creative Commons
Vitul Agarwal, Jonathan A. Chávez Casillas, Keisuke Inomura

и другие.

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Фев. 19, 2024

Abstract Decades of research have relied on satellite-based estimates chlorophyll- a concentration to identify oceanographic processes and plan in situ observational campaigns; however, the patterns intrinsic temporal variation not been investigated global scale. Here we develop metric quantify time series complexity (i.e., measure ups downs sequential observations) show that seemingly disparate regions (e.g., Atlantic vs Indian, equatorial subtropical) ocean can be inherently similar. These linked regularity change likelihood anomalous events within satellite record. Despite distinct spatial changes decadal concentration, relatively consistent. This work provides different metrics for monitoring suggests independent its magnitude.

Язык: Английский

Процитировано

4
Insights Into Protistan Plankton Blooms in the Highly Dynamic Patagonian Shelf and Adjacent Ocean Basin in the Southwestern Atlantic DOI Creative Commons
Carola Ferronato, Valeria A. Guinder, Martín Rivarossa

и другие.

Journal of Geophysical Research Oceans, Год журнала: 2025, Номер 130(3)

Опубликована: Март 1, 2025

Abstract Blooms of phototrophic protists play a crucial role in marine biogeochemical cycles, significantly impacting carbon fluxes and overall ecosystem productivity. Eukaryotes the nano‐ microplankton are responsible for large spring summer blooms visible from space highly dynamic southwestern Atlantic Ocean. Here, we investigated composition abundance protistan plankton during late 2021 across three contrasting oceanographic regions Ocean: Patagonian continental shelf, core Malvinas Current (MC), adjacent energetic open ocean Argentine basin. Using combination situ sampling satellite‐derived chlorophyll‐ , particulate inorganic carbon, sea surface temperature, geostrophic currents, identified marked differences water masses communities. High concentration over outer shelf was related to mixotrophic dinoflagellates diatoms. This accumulation associated with permanent thermohaline front that develops along shelf‐break, upwelling as main driver high However, waters MC exhibited lower biomass diversity, prevalence nanoflagellates coccolithophores. The results suggest column stability N:Si N:P nutrient ratios shape distinct bloom‐forming functional types. study contributes data on taxonomic diversity by microscopy which, remote sensing approaches, provide insights into how respond environmental changes at different spatial temporal scales.

Язык: Английский

Процитировано

0
Norfloxacin Pollution Reshapes Interspecific Relationships in Zooplankton: Impacts of Reduced Phytoplankton Defence and Altered Zooplankton Motility Across Individual, Population and Community Scales DOI Creative Commons

Changqun Duan,

Ruobing Wang,

Wenxiang Fang

и другие.

Freshwater Biology, Год журнала: 2025, Номер 70(3)

Опубликована: Март 1, 2025

ABSTRACT Recent studies indicate that antibiotics can inhibit the formation of phytoplankton colonies. This may affect zooplankton varying sizes differently, potentially altering interspecific competition. To investigate these effects, we established resource (predator‐free) and apparent competition (with a larval damselfly as predator) systems by co‐culturing Daphnia magna Moina affinis with algae Scenedesmus quadricauda food. We examined effects norfloxacin (NOR, 0, 31.25, 500 8000 μg L −1 ) on colony S. both individual‐ population‐level traits zooplankton, along competitive dynamics. NOR impaired ability to form large colonies, increasing grazing rates boosting population expansion grazer species, particularly enhancing advantage smaller M. , in system. However, caused oxidative damage reduced mobility, which impacted more severely, its predation risk larvae reducing dominance Our findings interspecies is highly sensitive antibiotic contamination. Moreover, combined differences individual body size sensitivity determine potential hazards pose communities, highlighting need for concern.

Язык: Английский

Процитировано

0
Five years of high-frequency data of phytoplankton zooplankton and limnology from a temperate eutrophic lake DOI Creative Commons
Stefanie Merkli, Marta Reyes, Ewa Merz

и другие.

Scientific Data, Год журнала: 2025, Номер 12(1)

Опубликована: Апрель 18, 2025

Abstract This study presents a comprehensive dataset from Lake Greifen, Switzerland, collected between April 2018 and June 2023, using high-frequency automated monitoring systems. The integrates meteorological data, nutrient chemistry, water column profiles for physics, plankton underwater imaging, offering insights into the lake’s physical biological processes. A dual-magnification dark field microscope captured hourly dynamics at 3 m depth, providing size, shape, taxonomic information. profiler with multiparametric probe monitored temperature, oxygen, other key parameters 1 to 17 while weekly sampling complemented measurements. Data processing involved rigorous cleaning protocols remove technical artefacts, ensuring data quality. Our showcases utility of integrating different approaches detect lake temporal processes, phytoplankton blooms zooplankton vertical migration seasonal shifts in stability. provides unique resource studying limnology community ecology. All related codes are publicly available further research, supporting interdisciplinary studies.

Язык: Английский

Процитировано

0