Results 41 to 50 of about 12,942 (245)

Statistical filtering to aid in the sorting of phytoplankton: The effects of image library size and phytoplankton shape

Limnology and Oceanography: Methods, EarlyView.
Abstract The demand for efficient image sorting methods has increased due to technological advancements that enable more intensive phytoplankton monitoring. Both statistical and machine learning algorithms can misidentify algal taxa in taxonomically diverse samples, in which phytoplankton morphology and image traits can vary.
Christopher R. Farrow, Josef D. Ackerman
wiley   +1 more source

A Copula-based Method for River Ecological Flow Quantification and Algal Bloom Risk Assessment in the Hanjiang River [PDF]

长江科学院院报
[Objective] Riverine ecological flow quantification is essential for maintaining riverine ecological health. Traditional methods often overlook the joint risks of hydrological and ecological factors and tend to rely on single-scenario calculations.
NONG Xi-zhi, LAI Cheng, JING Zheng, YE Ye
doaj   +1 more source

Refining techniques for high‐frequency monitoring of chlorophyll a fluorescence in estuarine systems

Limnology and Oceanography: Methods, EarlyView.
Abstract Concentrations of the photosynthetic pigment chlorophyll a are commonly used as a proxy for phytoplankton biomass in aquatic systems. Traditional methods for extracting chlorophyll a in discrete samples limit measurement frequency, while in situ sensor technology provides high frequency chlorophyll a fluorescence measurements at a more ...
Nicole Dix, Hannah Nicklay, Jacob Cianci‐Gaskill, Shannon Dunnigan Kimmel, J. Silas Tanner, Kim Cressman, Steven E. McMurray, Yoshimi M. Rii, Rikke Jeppesen, Rachel Guy, Erik Smith   +10 more
wiley   +1 more source

A novel approach to estimate non‐algal particle absorption for improved retrieval of pigment concentrations in coastal waters

Limnology and Oceanography: Methods, EarlyView.
Abstract Phytoplankton play a central role in ocean biogeochemistry and understanding their composition and variability is critical for monitoring marine ecosystem dynamics. Continuous spectrophotometric measurements (using a Seabird Sci. AC‐S) along ship tracks enable high‐resolution measurements of particle spectral absorption (apλ$$ {a}_p\left ...
Margherita Costanzo, Vittorio E. Brando, Emmanuel Boss, Alison Chase, David Doxaran   +4 more
wiley   +1 more source

A Comparative Analysis of Machine Learning Methods for Algal Bloom Detection Using Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Algal blooms are a major environmental challenge for lakes and reservoirs and pose severe threats to water on both aquatic and human health. Conventional algorithms used for algal bloom detection based on remote sensing reflectance proved to be effective
Chen Yang, Zhenyu Tan, Yimin Li, Ming Shen, Hongtao Duan   +4 more
doaj   +1 more source

Sustainable Metal Recovery From E‐Waste: Exploring Greener Leachates in Hydrometallurgical Processes

MetalMat, EarlyView.
Recycling of electronic waste to synthesize valuable metals using green leachate. ABSTRACT The accumulation of electronic waste (e‐waste) poses environmental hazards and leads to the loss of valuable metals such as gold, silver, copper, and rare earth elements.
Shassatha Paul Saikat, Nazim Uddin, Md. Kawsar, Samina Ahmed, Md. Sahadat Hossain   +4 more
wiley   +1 more source

Surface primary producer phenology in Dease Strait, NU, Canada, examined using submersed oceanographic sensors and satellite remote sensing

Arctic Science
Thinning sea ice cover and earlier melt in the Arctic impact primary producer (PP) phenology, causing earlier ice algal bloom termination and phytoplankton bloom commencement.
Kiran Yendamuri, Julienne Stroeve, Jens K. Ehn, William J. Williams, Vishnu Nandan, Brent G.T. Else, Alexander S. Komarov, Christina A. Braybrook, Mike Dempsey, C.J. Mundy   +9 more
doaj   +1 more source

Integrating and assessing metacommunity drivers of ecosystem function and resilience in benthic algal systems

Oikos, EarlyView.
Understanding the scales and mechanisms by which species composition interacts with ecosystem functions is critical for forecasting the effects of environmental perturbations on ecosystem services. However, the linkages between what regulates the ecosystem functions of dispersal‐capable networks of communities (metacommunities) and what regulates a ...
Thomas P. Shannon, Evelyn E. Gaiser
wiley   +1 more source

A novel algal bloom risk assessment framework by integrating environmental factors based on explainable machine learning

Ecological Informatics
In recent years, the algal blooms have intensified, posing mounting threats to aquatic ecosystems and water security. However, most previous studies merely detected algal blooms according to the characteristics of the water body at the time of algal ...
Lingfang Gao, Yulin Shangguan, Zhong Sun, Qiaohui Shen, Lianqing Zhou   +4 more
doaj   +1 more source

Forecasting the impact of food‐provisioning and other stressors on a marine top‐predator population

Oikos, EarlyView.
Wildlife tourism can alter animal behavior, affect vital rates and diminish population viability but its impact in the context of other human‐ and environmental disturbances, remain largely unstudied. Using simulation models and leveraging a robust long‐term dataset spanning eight years, we evaluated the contribution of wildlife feeding, in the context
Valeria Senigaglia, Leslie New, Oliver Manlik, Kate R. Sprogis, Lars Bejder   +4 more
wiley   +1 more source