NDLI: Assessing the potential of remote sensing-derived water quality data to explain variations in fish assemblages and to support fish status assessments in large lakes

Content Provider	Springer Nature Link
Author	Sandström, Alfred Philipson, Petra Asp, Anders Axenrot, Thomas Kinnerbäck, Anders Ragnarsson Stabo, Henrik Holmgren, Kerstin
Copyright Year	2016
Abstract	Remote sensing techniques may provide a higher temporal and spatial resolution than traditional water monitoring methods. We tested if this auxiliary information can be used to (i) explain patterns in fish assemblage composition and (ii) test candidate metrics to assess ecological status in large lake water bodies. We used MERIS-derived layers describing chlorophyll a, total suspended matter, and colored dissolved organic matter (CDOM) overlaid on all available fish monitoring data from the four largest Swedish lakes (Vänern, Vättern, Mälaren, and Hjälmaren). We assessed the influence of remote sensing-derived parameters in the pelagic, offshore benthic, and the inshore benthic habitats. Our results demonstrated that chlorophyll a and CDOM together with depth at the sampling site explained a significant part of the variation in the distribution of fish assemblages. These predictors were particularly important not only in pelagic, but also in inshore benthic areas. Furthermore, we identified three potential candidate metrics to assess pressure from eutrophication in large lakes: density of pelagic fishes, biomass of planktivorous species, and the proportion of cyprinids when roach was excluded. Remote sensing was considered a useful tool to support analyses of fish community composition and dynamics.
Starting Page	71
Ending Page	84
Page Count	14
File Format	PDF
ISSN	00188158
Journal	Hydrobiologia
Volume Number	780
Issue Number	1
e-ISSN	15735117
Language	English
Publisher	Springer International Publishing
Publisher Date	2016-04-30
Publisher Place	Cham
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Large lakes Fish Remote sensing Metrics Eutrophication Freshwater & Marine Ecology Ecology Zoology
Content Type	Text
Resource Type	Article
Subject	Aquatic Science

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