Results 121 to 130 of about 229,504 (333)

How are Antarctic planktonic microbial food webs and algal blooms affected by melting of sea ice? Microcosm simulations [PDF]

, 1999
HC Giesenhagen, AE Detmer, J de Wall, Anke Weber, Rolf Gradinger, FJ Jochem   +5 more
openalex   +1 more source

Exploiting algal strains for robust cross‐domain phytoplankton classification via deep learning

Limnology and Oceanography: Methods, EarlyView.
Abstract Phytoplankton species are essential bioindicators for evaluating the status of freshwater ecosystems in accordance with the EU Water Framework Directive. However, manual identification of phytoplankton is time‐consuming and requires taxonomic expertise. Deep learning (DL) offers promising tools for automating the identification, but challenges
Ladislav Hodač, Susanne Dunker, Matthias Schmal, Edwin Carreño, Patrick Mäder, Maike Lorenz, Marie Jamroszczyk, David Šubrt, Sandra Meier, Claus‐Dieter Dürselen, Jana Wäldchen   +10 more
wiley   +1 more source

Algicidal Effects of a Novel Marine Pseudoalteromonas Isolate (Class Proteobacteria , Gamma Subdivision) on Harmful Algal Bloom Species of the Genera Chattonella , Gymnodinium , and Heterosigma [PDF]

, 1998
Connie Lovejoy, John P. Bowman, Gustaaf M. Hallegraeff   +2 more
openalex   +1 more source

A novel artificial intelligence–powered cell counting tool coupled with digital microscopy for rapid field‐assessment of harmful cyanobacterial blooms

Limnology and Oceanography: Methods, EarlyView.
ABSTRACT Historical quantification of cyanobacterial harmful algal blooms (cHABs) typically involved labor‐intensive manual cell counting. We developed a novel, cost‐effective, field‐validated system to perform cell counts of six common toxin‐producing cyanobacterial genera within 30 s of upload with 10‐min sample preparation.
Igor Mrdjen, Zacharias J. Smith, Abby M. Webster, Christopher C. Nack, Bryan Arndt, Danara Dormaeva, Gregory L. Boyer, N. Roxanna Razavi, Stephen B. Shaw   +8 more
wiley   +1 more source

AEDMA-NDMAI: Automatic Extraction and Daily Monitoring of Algal Blooms Using Normalized Difference MODIS Algae Index

Applied Sciences
Algal blooms are ecological phenomena with long-lasting effects on the ecosystem and on the climate. Often, they reduce the oxygen level underwater, creating adverse circumstances for aquatic species’ survival, development, and reproduction.
Vikash Kumar Mishra, James Falconer, Amit Kumar Mishra, Fred Nicolls, Stephen Paine   +4 more
doaj   +1 more source

Using environmental DNA to detect Microseira wollei (Oscillatoriales), a benthic harmful algal bloom, in Lake St. Clair (Michigan, USA)

Limnology and Oceanography: Methods, EarlyView.
Abstract Microseira wollei is a benthic cyanobacterium that can cause harmful algal blooms (HABs) and often requires management. However, a pervasive challenge for M. wollei management is characterizing the spatial and temporal extent of an impacted area, which can be time and resource intensive.
Alyssa J. Calomeni‐Eck, Madeleine P. Malmfeldt, Denise L. Lindsay, Andrew D. McQueen   +3 more
wiley   +1 more source

Lessons learned from mesocosm experiments with curcumin: Pilot studies of a harmful algal bloom mitigation technique

Limnology and Oceanography: Methods, EarlyView.
Abstract Curcumin, a natural plant product derived from Curcuma longa, was assessed as a mitigation technique against the toxic bloom‐forming dinoflagellate Karenia brevis in two mesocosm experiments taking place in 2022 and 2024. In these experiments, curcumin was applied at a dosage of 5 mg L−1 to K.
Victoria Devillier, Emily R. Hall, Cynthia A. Heil, Jessica D. Frankle, Sarah Klass, Jennifer H. Toyoda, Rich Pierce   +6 more
wiley   +1 more source

Unveiling environmental indicators of algal blooms using interpretable AI

Ecological Indicators
Harmful algal blooms represent a significant environmental challenge with substantial ecological and economic impacts worldwide. Traditional predictive approaches often fail to capture the complex, nonlinear relationships between environmental drivers ...
Zhi Huang, Pengxinyue Huang, Han Yuan, Jiang Yu, Hongbin Jiang, Pu Wang, Wei He, Siwei Deng, Yinying Jiang, Xiufeng Liu   +9 more
doaj   +1 more source

Quantifying the contribution of community trait mean and diversity to ecosystem functioning

Oikos, EarlyView.
Hundreds of experiments conducted over the last decades demonstrate a positive relationship between species diversity and ecosystem functions. Following good experimental practice, most of these studies have manipulated species richness artificially by assembling communities randomly. Yet, natural communities along ecological gradients often show niche‐
Lorena Pinheiro‐Silva, Andros T. Gianuca, Luc De Meester, Steven A. J. Declerck   +3 more
wiley   +1 more source

Kahru, M., Brown, C.W. (ed.): Monitoring Algal Blooms: New Techniques for Detecting Large-Scale Environmental Change [PDF]

, 1999
Blahoslav Maršálek
openalex   +1 more source