Results 71 to 80 of about 209,846 (299)
Phytoplankton periodicity: its motivation, mechanisms and manipulation [PDF]
, 1982 This review summarizes some recent work to find a generalized explanation of phytoplankton periodicity in lakes. Much of the observational and experimental evidence is drawn from work centred on the large enclosures (Lund Tubes) installed in Blelham Tarn,
Reynolds, C.S.
core
Oikos, EarlyView.Misinterpretation of p‐values, coupled with insufficient consideration of the prior plausibility of ecological hypotheses, leads to overconfident and often unreliable inference in ecological research. To address this issue, we present a methodological framework for p‐value calibration that reinterprets conventional p‐values through minimum Bayes ...
Rafael Dettogni Guariento +2 more
wiley +1 more source
Marine Ecology, EarlyView., 2023 Abstract Microplastic input into the ocean represents an increasing threat to marine biota and may endanger the functioning of marine ecosystems, especially in semi‐enclosed basins, such as the Mediterranean Sea. The size spectrum of microplastics overlaps with that of nano‐microplankton (2–200 μm), thus potentially misleading suspension‐feeding ...
Claudia Traboni +3 more
wiley +1 more source
STRUKTUR KOMUNITAS FITOPLANKTON DI DANAU TOBA, SUMATERA UTARA
Jurnal Ilmu Pertanian Indonesia, 2016 Lake Toba is the largest lake in Indonesia, located in the Province of North Sumatra. Lake Toba is used to aquaculture, agricultural, tourism, and residential areas. These activities will produce organic and anorganic matter that can affect water quality
Arif Rahman +2 more
doaj +1 more source
The phytoplankton of an enriched, soft-water lakel subject to intermittent hydraulic flushing (Grasmere, English Lake District) [PDF]
, 1982 This paper describes some characteristic features of the phytoplankton of Grasmere, one of the smaller of the principal lakes of the English Lake District, and attempts to relate these to distinctive physical and chemical properties of the lake ...
Lund, J.W.G., Reynolds, C.S.
core
People and Nature, EarlyView.Abstract Biological invasions are a major driver of biodiversity loss, yet inconspicuous or “cryptic” species often escape detection and public awareness, limiting management responses. We investigated the freshwater jellyfish Craspedacusta sowerbii, likely native to China and now present on six continents, through a 22‐month multilingual online survey
Guillaume Marchessaux +17 more
wiley +1 more source
Marine Ecology, EarlyView., 2023 Abstract Plankton play a key role in marine food webs by producing and transferring organic matter and energy to higher trophic levels. To define the trophic structure and interactions within the planktonic communities in the Gulf of Naples, we determined carbon and nitrogen stable isotope ratios in particulate organic matter (POM, <20 μm ...
Louise Merquiol +2 more
wiley +1 more source
Identification of environmental factors affecting the abundance and distribution of phytoplanktons in Shamil Dam Lake [PDF]
بومشناسی آبزیان, 2019 Microscopic suspended algae, or phytoplankton, are the prime source of organic matter supporting food webs in freshwater ecosystems. Studying the distribution of their population and understanding the interactions between environmental factors and the ...
Mahsa Katani +2 more
doaj
Biological activity in the wake of an island close to a coastal upwelling [PDF]
, 2008 Hydrodynamic forcing plays an important role in shaping the dynamics of marine organisms, in particular of plankton. In this work we study the planktonic biological activity in the wake of an island which is close to an upwelling region.
Feudel, U. +3 more
core +2 more sources
Quarterly Journal of the Royal Meteorological Society, EarlyView.This article demonstrates that assimilating machine‐learning‐derived surface nitrate can improve five‐day phytoplankton forecast substantially within the Met Office operational system for the Northwest European Shelf. We explain the reasons behind this improvement and propose that an online system where machine learning and data assimilation are cycled
Deep S. Banerjee +2 more
wiley +1 more source