FishBase: Diving into the World of Fish - PDF

Summary

This presentation dives into the world of FishBase, a comprehensive database of fish information. It covers the origins of the database, the methods used for data collection and analysis, and the tools available to access and use this rich knowledge resource, including relevant links. The presentation provides a valuable overview for students and researchers.

Full Transcript

Diving into the world of FishBase Professor Jessica Meeuwig Marine Futures Lab The Founders: 30 years on Professor Daniel Pauly Professor Rainer Froese The origins of FishBase 600 note cards and the challenge of reprints a commitment to equity and free...

Diving into the world of FishBase Professor Jessica Meeuwig Marine Futures Lab The Founders: 30 years on Professor Daniel Pauly Professor Rainer Froese The origins of FishBase 600 note cards and the challenge of reprints a commitment to equity and free access www.fishbase.org www.fishbase.org who’s where’s your home? how big what’s family? do you your get? name? how long do you what live? food do you eat? how fast how do you how old much do grow? are you you now? weigh? how do are you humans use endangered? you? who’s where’s your home? how big what’s family? do you your get? name? how long do you what live? food do you eat? how fast how do you how old much do grow? are you you now? what’s your weigh? are you nutritional vulnerable to value? fisheries? Building on species - information by: Family Country/Island Ecosystem Topic Diet Growth Gill surface area Building on species - information by: Family Tools Country/Island Baited remote underwater video systems Nutrients Ecosystem Gill surface area Topic Graphs! Diet Growth Gill surface area Standardisation Weight = a∙Lengthb Total length (cm) Weight (g) Length conversions Fork Length =>Total Length Standard Length => Total Length Fork Length=> Standard Length Predictive modelling: Thomas Bayes 1701 –1761 Accuracy: some philosophical thoughts “But that trophic value is not correct – it should be 4.3 not 4.1” “But that length-weight relationship is not accurate” “That species lives to 70 years not 45” Accuracy: some philosophical thoughts “But that trophic value is not correct – it should be 4.3 not 4.1” “But that length-weight relationship is not accurate” “That species lives to 70 years not 45” 25 30 35 10% 20% 30% 25 30 20 25 20 15 Weight Weight Weight 20 15 10 15 10 10 5 5 5 0 0 0 Species 1 Species Species Species 3 Species 1 Species Species Species 3 Species 1 Species Species Species 3 2a 2b 2a 2b 2a 2b Dynamic Eliminates zombie data by deep- linking to other data bases for automatic updates (e.g. RedList) Dynamic Eliminates zombie data by deep- linking to other data bases for automatic updates (e.g. RedList) Data for new species continually added (the blue bastard) Dynamic Eliminates zombie data by deep- linking to other data bases for automatic updates (e.g. RedList) Data for new species continually added (the blue bastard) Taxonomy regularly updated Mobula birostris => Mobulidae © Nektos/Fred Buyle Application: FL Sample Binomial name n (cm) AIG_047 Elagatis bipinnulata 6 69.9 AIG_047 Tursiops truncates* 1 220.9 AIG_047 Carcharhinus falciformis 1 146.3 AIG_047 Psenes cyanophrys 1 2.8 AIG_047 Sphyrna lewini 1 125.8 AIG_047 Remora remora 2 9.8 * www.sealifebase.org Application: FL Sample Binomial name Common name n (cm) AIG_047 Elagatis bipinnulata rainbow runner 6 69.9 AIG_047 Tursiops truncates* bottlenose dolphin 1 220.9 AIG_047 Carcharhinus falciformis silky shark 1 146.3 AIG_047 Psenes cyanophrys freckled driftfish 1 2.8 AIG_047 Sphyrna lewini scalloped hammerhead 1 125.8 AIG_047 Remora remora shark sucker 2 9.8 * www.sealifebase.org Application: FL Wt Sample Binomial name Common name n B a b (cm) (kg) AIG_047 Elagatis bipinnulata rainbow runner 6 69.9 3.8 22.8 0.0100 2.85 AIG_047 Tursiops truncates* bottlenose dolphin 1 220.9 105.4 105.4 0.0159 2.91 AIG_047 Carcharhinus falciformis silky shark 1 146.3 32.7 32.7 0.0154 2.92 AIG_047 Psenes cyanophrys freckled driftfish 1 2.8 0.043 0.043 0.0200 3.01 AIG_047 Sphyrna lewini scalloped hammerhead 1 125.8 7.9 7.9 0.0110 2.79 AIG_047 Remora remora shark sucker 2 9.8 0.21 0.042 0.0008 3.36 * www.sealifebase.org Application: FL Wt Sample Binomial name Common name n B a b TR VulF IUCN (cm) (kg) AIG_047 Elagatis bipinnulata rainbow runner 6 69.9 3.8 22.8 0.0100 2.85 4.3 51 LC AIG_047 Tursiops truncates* bottlenose dolphin 1 220.9 105.4 105.4 0.0159 2.91 4.5 67 LC AIG_047 Carcharhinus falciformis silky shark 1 146.3 32.7 32.7 0.0154 2.92 4.5 79 VU AIG_047 Psenes cyanophrys freckled driftfish 1 2.8 0.043 0.043 0.0200 3.01 3.52 15 LC AIG_047 Sphyrna lewini scalloped hammerhead 1 125.8 7.9 7.9 0.0110 2.79 4.1 81 CR AIG_047 Remora remora shark sucker 2 9.8 0.21 0.042 0.0008 3.36 3.5 48 LC * www.sealifebase.org Attribute Value Species richness 6 Total abundance 12 Total biomass 168.9 kg Application: FL Wt Sample Binomial name Common name n B a b TR VulF IUCN (cm) (kg) AIG_047 Elagatis bipinnulata rainbow runner 6 69.9 3.8 22.8 0.0100 2.85 4.3 51 LC AIG_047 Tursiops truncates* bottlenose dolphin 1 220.9 105.4 105.4 0.0159 2.91 4.5 67 LC AIG_047 Carcharhinus falciformis silky shark 1 146.3 32.7 32.7 0.0154 2.92 4.5 79 VU AIG_047 Psenes cyanophrys freckled driftfish 1 2.8 0.043 0.043 0.0200 3.01 3.52 15 LC AIG_047 Sphyrna lewini scalloped hammerhead 1 125.8 7.9 7.9 0.0110 2.79 4.1 81 CR AIG_047 Remora remora shark sucker 2 9.8 0.21 0.042 0.0008 3.36 3.5 48 LC * www.sealifebase.org Attribute Value Species richness 6 Total abundance 12 Total biomass 168.9 kg no weight by Abundance by Biomass TR 4.07 4.11 4.45 VulF 56.8 53.6 67.8 Median IUCN LC LC LC Go to FishBase Tips and tricks Fishbase.de is faster than Fishbase.org R can be used to extract data Don’t miss: Aquamaps BRUVS database Species matrices Spend some time checking all the buttons Determine whether you are interested in single species (population biology) or assemblages (community ecology) Do the “pub test”

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