Global ecology and Biogeography

Macroecology

Frontiers in Ecology and Evolution blog, 2015

Macroecology

Science,1989

Patterns of biodiversity not explained by small scale experiments
“Study of ecological patterns and processes that characterize the assembly of continental biotas”
North American mammals and birds

Macroecology

Brown & Maurer, 1989. Science

Macroecology

How multiple samples can help us to understand large scale patterns.

Patterns (mainly descriptive)
Processes and mechanisms

Macroecology

Humboldt, 1807. The Geography of Plants

Macroecology

Morueta-Holme et al., 2015. PNAS

Broad scale patterns of biodiversity

Taken from Maura 2017

Broad scale patterns of biodiversity

Taken from Maura 2017

Plot
Transect
Region
Continent
Globe

Broad scale patterns of biodiversity

Taken from Maura 2017

Individual
Species
Population
Assemblage
Community

Broad scale patterns of biodiversity

Taken from Maura 2017

Day
Month
Year
Century
Geological time

Questions in macroecology

Taken from Maura 2017

Traditional Ecology

Taken from Maura 2017

Questions in macroecology

Taken from Maura 2017

Orme et al., 2005

Questions in macroevolution

Taken from Maura 2017

Sansom et al., 2014

Sansom et al., 2014. Proc. R. Soc. B

Macroevolution

Large scale approach at any level (taxonomic, spatial, temporal), not all levels

Macroecology

As a result of increasing availability of information

High-resolution datasets (geographic records)
List of species
Molecular information (large molecular phylogenies)
Computational power
New analytical approaches

Data-intensive science

Page, 2013

Ecoinformatics challenges: the big data era

Taxonomic names

Page, 2013

Geographic records

Ecoinformatics challenges

Global Ecology and Biogeography

Broad-scale patterns of biodiversity

Diversity gradients
Range size
Body size
Biogeography
Anthropocene

Global Ecology and Biogeography

Ecoinformatics: Reproducibility!

Data wrangling
Data analysis and statistics
Visualizations
Spatial analysis

Ecoinformatics: Reproducibility!

Wickham & Grolemund, 2017.

Ecoinformatics skills

The big data era

Data scientists
Civil services
Banking, agriculture, food production, utilities, medicine, transport, architecture, car industry…

Ecoinformatics skills

Forecasting numbers of cancer patients in the future
Monitoring sewer network performance
Predicting car sales
Analysing amounts of green space in cities

Ecoinformatics skills

R community examples: https://www.r-bloggers.com/pwfslsmoke-1-0-visualizing-wildfire-smoke-data/