Presentation of my PhD as used at the public defence in June 2017.
Thesis outline:
Chapter 1: General Introduction
Chapter 2: Fishing for data and sorting the catch: assessing the data quality, completeness and fitness for use of data in marine biogeographic databases
Chapter 3: sdmpredictors: an R package for species distribution modelling predictor datasets
Chapter 4: In search of relevant predictors for marine species distribution modelling using the MarineSPEED benchmark dataset
Chapter 5: Spatio-temporal patterns of introduced seaweeds in European waters, a critical review
Chapter 6: A risk assessment of aquarium trade introductions of seaweed in European waters
Chapter 7: Modelling the past, present and future distribution of invasive seaweeds in Europe
Chapter 8: General discussion
13. Aquaria ?
Sampling
• 217 samples
• 135 species
• 6 invasive or introduced
• 40 possibly invasive
14. Present 2055
• Rich species diversity
• Invasive species
• Potential for new introductions
15. More …
• Chapter 5
Bosch, S., De Clerck, O. and Frédéric Mineur, F.
Spatio-temporal patterns of introduced seaweeds in
European waters, a critical review.
• Chapter 6
Vranken, S., Bosch, S., Peña, V., Leliaert, F., Mineur,
F. and De Clerck, O. A risk assessment of aquarium
trade introductions of seaweed in European waters.
17. Image credit: Université de Lausanne
Species distribution modelling (SDM)
Species field
observations
Environmental data
Model fitting Predicted species
distributions
18. Ecological Niche
Hutchinson (1957)
“… the hypervolume
defined by the
environmental
dimensions within
which that species
can survive and
reproduce.”
Abiotic
Movement
Biotic
GO
GI
Geographic area
24. Aiello-Lammens, M. E. et al. 2015. spThin: an R package for spatial thinning of species occurrence
records for use in ecological niche models. - Ecography (Cop.). 38: 541–545.
33. sdmpredictors
library(sdmpredictors)
# view all available layers
View(list_layers())
# load SST mean from Bio-ORACLE and
# bathymetry from MARSPEC as lat/lon data
x <- load_layers(c("BO_sstmean","MS_bathy_5m"),
equalarea = FALSE)
34. Which one ?
• Calcite
• Chlorophyll A
• Cloud fraction
• Diffuse attenuation
coefficient at 490 nm
• Dissolved oxygen
• Nitrate
• Photosynthetically
available radiation
• pH
• Phosphate
• Salinity
• Silicate
• Sea surface temperature
• Bathymetry
• East/West aspect
• North/South Aspect
• Plan curvature
• Profile curvature
• Distance to shore
• Bathymetric slope
• Concavity
46. Can we predict invasive seaweeds?
Abiotic
Movement
Biotic
GO
GI
Geographic area
Sargassum muticum
Codium fragile
Dictyota
cyanoloma
Grateloupia turuturu
Undaria pinnatifida
55. More …
• Chapter 2
Vandepitte, L. et al. 2015. Fishing for data and sorting the catch:
assessing the data quality, completeness and fitness for use of data in
marine biogeographic databases. - Database
• Chapter 3
Bosch, S., Tyberghein, L., De Clerck, O. sdmpredictors: an R package for
species distribution modelling predictor datasets
• Chapter 4
Bosch, S., Tyberghein, L., Deneudt, K., Hernandez, F., De Clerck, O. In
search of relevant predictors for marine species distribution modelling
using the MarineSPEED benchmark dataset
• Chapter 7
Bosch, S., Gomez Giron, E., Martínez, B., De Clerck, O. Modelling the past,
present and future distribution of invasive seaweeds in Europe