Electronic Atlas for All Marine Species

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Electronic Atlas for All Marine Species

• Rainer Froese
• IFM-GEOMAR
• rfroese_at_ifm-geomar.de

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Rainers Project

• Ambitious goals
• Create an online Atlas with standardized maps for
  eventually all marine species
• Maps for 100,000 species
• 3-D maps (with depth)
• Before-After maps
• Seasonal maps
• Predictive maps

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Rainers Project

• Assumptions
• Algorithms and partners available (BiOSC,
  WhyWhere, Lifemapper)
• Enough point data available (OBIS)
• Suitable future ocean data available
• Reality check
• LifeMapper stopped mapping, GARP-maps not
  reproducible, can not be edited
• Not enough points in OBIS

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Point Data in OBIS

• 13.7 million records for 80,000 species
• Only 22,000 species with gt 10 points
• (11/2007)

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Rainers Project

• Assumptions
• Algorithms and partners available (BiOSC,
  WhyWhere, Lifemapper)
• Enough point data available (OBIS)
• Suitable future ocean data available
• Reality check
• LifeMapper stopped mapping, GARP-maps not
  reproducible, can not be edited
• OBIS has points (gt10) for only 22,000 species
• Future ocean data problematic (modeling of
  primary production unsatisfactory)
• So???

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Actions

• More money INCOFISH WP Biomapping (0.5 M, Sven
  Kullander, Jonathan Ready)
• More support FishBase (Kathy Reyes), SealifeBase
  (M.D.L. Palomares), CSIRO (Tony Rees), SAUP
  (Kristin Kaschner, Reg Watson), Hexacorals
  (Daphne Fautin)
• Three workshops to develop, test and implement a
  suitable algorithm

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Environmental envelope type modeling approach
Species-specific environmental envelope
Predictor
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Getting Minimum Information
Grey triggerfish Balistes capriscus Gmelin, 1789

• Depth range
• Pelagic (No)
• FAO areas
• Bounding box coordinates
• occurrence points (minimum of 10)
• OBIS Ocean Biogeographic Information System
  (www.iobis,org)
• GBIF Global Biodiversity Information Facility
  (www.gbif.org)

Species and online point databases are primary
sources of key minimum input data.
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Selecting Good Point Data

• Occurrence points within bounding box or known
  FAO areas

Bounding box or FAO area limits serve as
independent verification of the validity of
occurrence records.
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Extracting Environmental Parameters
Global grid of 259,200 half degree cells
Good cells are used to derive the range of
environmental parameters within the species
native range.
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Building Environmental Envelopes

• depth from the literature
• range minima and maxima are derived from good
  cells
• preferred min 10th percentile preferred max
  90th percentile

The environmental envelopes describe tolerances
of a species with respect to each environmental
parameter.
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Predicting Probability of Occurrence
PMax
Relative probability of occurrence
Predictor
Preferred max
Min
Max
Preferred min
The overall probability of species occurrence for
a given cell is the product of the probabilities
under the different environmental parameters.
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Plotting Species AquaMaps
Predictions document large-scale and long-term
presence of a species. They cannot be assumed to
precisely represent local occurrence of a species
on a specific day of a specific year.
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Actions

• More money INCOFISH WP Biomapping (0.5 M, Sven
  Kullander, Johnathan Ready)
• More support FishBase (Kathy Reyes), SealifeBase
  (M.D.L. Palomares), CSIRO (Tony Rees), SAUP
  (Kristin Kaschner), Hexacorals (Daphne Fautin)
• Three workshops to develop, test and implement a
  suitable algorithm
• More data ZIN collection, Gazetteer (Nina
  Bogutskaya)

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St. Petersburg Fish Collection
30,000 records with 15,000 coordinates from Russia
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Gazetteer of Type Localities
7,000 coordinates from W. Eschmeyers Catalogue
of fishes
20,000 coordinates added by ZIN
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Actions

• More money INCOFISH WP Biomapping (0.5 M, Sven
  Kullander, Johnathan Ready)
• More support FishBase (Kathy Reyes), SealifeBase
  (M.D.L. Palomares), CSIRO (Tony Rees), SAUP
  (Kristin Kaschner), Hexacorals (Daphne Fautin)
• Three workshops to develop, test and implement a
  suitable algorithm
• More data ZIN collection, Gazetteer (Nina
  Bogutskaya)
• Design map interface, start mapping Internet
  Example

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www.aquamaps.org
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Whale Shark
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Latimeria chalumnae
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Blackfin Spiderfish (deep sea)
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Porbeagle (Lamna nasus)
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Actions

• More money INCOFISH WP Biomapping (0.5 M, Sven
  Kullander, Johnathan Ready)
• More support FishBase (Kathy Reyes), SealifeBase
  (M.D.L. Palomares), CSIRO (Tony Rees), SAUP
  (Kristin Kaschner), Hexacorals (Daphne Fautin)
• Three workshops to develop, test and implement a
  suitable algorithm
• More data ZIN collection, Gazetteer (Nina
  Bogutskaya)
• Design map interface Internet Example
• Start mass-production of maps
• Do cross-species maps

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Species Richness of 7,237 Species (of 230,000)
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(No Transcript)
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Species Richness of Sharks Rays
Including 437 maps of altogether 968 sharks
rays (45)
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Species Richness Merlucciidae
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Mean Trophic Level of Merlucciidae
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Atlantic Deep Lobster
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Seasonal distribution of Mola mola
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Before After Map
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Modelled effects of climate change from 2000 to
2050 on the suitable habitat for Bogue (Boops
boops)
Move north!
Predictive Map by Jonathan Ready
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Next Steps

• Involve OBIS (CoML), GBIF, EoL
• 10-12 December 2007 4th Mapping workshop in Kiel,
  on mass-production of maps
• Find more funding
• European SpeciesBase initiative
• Write 10,000 Maps paper in 2007
• Go freshwater
• NRM Stockholm
• Go terrestrial
• SMNS Stuttgart

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Thanks to thePew Fellows Programfor making this
possible