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Mark V. Hoyer

Researcher at University of Florida

Publications -  90
Citations -  3195

Mark V. Hoyer is an academic researcher from University of Florida. The author has contributed to research in topics: Macrophyte & Eutrophication. The author has an hindex of 30, co-authored 86 publications receiving 2929 citations. Previous affiliations of Mark V. Hoyer include University of Missouri.

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Relations between trophic state indicators and fish in Florida (U.S.A.) lakes

TL;DR: The authors of as mentioned in this paper found that the number of poissons per unit area was positively correlated with total phosphorus, total nitrogen, chlorophyll a, and inversely correlated with Secchi disk transparency in 65 Florida (U.S.A.) lakes selected to range from oligotrophic to hypereutrophic.
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Factors Affecting the Relation Between Phosphorus and Chlorophyll a in Midwestern Reservoirs

TL;DR: The mean chlorophyll a (mg/m3) yield per unit of total phosphorus (P-C relation) in 96 midwest reservoirs and the variance about this yield was similar to relations for natural lakes report as discussed by the authors.
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Stable isotopes of carbon and nitrogen as indicators of diet and trophic structure of the fish community in a shallow hypereutrophic lake

TL;DR: Stable isotope data revealed no trophic links between blue tilapia, an abundant fish in the near-shore area, and piscivores, and the food web was based primarily on plankton production with diatoms, Microcystis and zooplankton dominating the diet of fish.
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Sportfish Harvest Predicted by Summer Chlorophyll‐α Concentration in Midwestern Lakes and Reservoirs

TL;DR: An index based on the relationship between angler harvest and mean summer phytoplankton standing crop (chlorophyll α) is a basis for estimating the annual yield of sportfishes in midwestern lakes and reservoirs as mentioned in this paper.
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Global variation in the beta diversity of lake macrophytes is driven by environmental heterogeneity rather than latitude

TL;DR: Gecheva et al. as mentioned in this paper proposed a method to identify the root cause of gender discrimination in the media and found that women are more likely to be discriminated against than men.