Jerome MW GIPPET, PhD - Urban Environmental Science

Interdisciplinary ecologist

Understanding how humans shape and exploit nature... and so what?

I am a interdisciplinary ecologist interested in basic and applied questions in ecology and conservation (and occasionally evolution). My academic journey began as a field myrmecologist specialising in the ecology and behaviour of ants in urbanised ecosystems. My research interests are diverse, but most of my research revolves around human-nature interactions. My approach is firmly grounded in data, both from my own field studies and from the compilation and harmonisation of open source datasets.

13 black ants passing screen top view transparent

Ecology of the Anthropocene

Research Themes

My work is driven by the conviction that humans are an integral part of nature and that our continued coexistence depends on the rapid development of sustainable relationships with the natural world, but also between human societies. This requires a deep understanding and recognition of the interdependence of ecological and human systems.

Wildlife Exploitation and Trade

Biological
Invasion

iEcology

Urban
Ecosystems

What I can do

Skills and Expertise

Jack of all trades, master of some

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Field
Field
- Systematic sampling of arthropods (Hand collection, Baiting, Pitfall trap, Berlese trap, Digging)
- Geotagging (field measurements, GPS/GNSS pointing)
- Field experiments (ant-plant interactions, invasive ant control)
Lab
Lab
- Taxonomic identification of arthropods
- Behavioural experiments in ants (foraging behaviour, aggressiveness)
- Common garden experiments
- Morphometry (Olympus SZX16 stereomicroscope, Olympus DP25 camera, cellD® software)
- DNA extraction
Coding & Programmation
Coding & Programmation

Advanced programming in R and Python
- Task automation and code optimization
- Web scraping (in Python BeautifulSoup, Requests, Selenium)
- Taxonomic harmonization (in R taxize, taxizedb)
- Text analysis (in R and Python)
Data Analysis
Data Analysis

Statistical analyses with R
- Generalized mixed models, incl. zero-inflation, overdispersion, phylogenetic
- Machine learning models, incl. Random forest, BRTs, Neural networks
- Multivariate analysis (GLM, PCA, NMDS)
R packages (ade4, gbm, glmmTMB, DHARMa, mgcv, phylolm, randomForest, vegan, ...)

Other softwares: Structure, CircuitScape, GitHub Desktop
Data Mining & Processing
Data Mining & Processing

Collection, harmonization and compilation of large databases
- LEMIS database (>5 million records)
- CITES wildlife trade database (> 2 million records)
- Social media data (>40,000 textual contents from Instagram posts)
- Species trait databases (COMBINE, AntProfiler, BirdLife)
GIS
GIS

Geographic Information System and Land Cover Classification
- ArcGIS 10.1 (Spatial analysist)
- QGIS
- R (packages ecospat, irr, raster, rgdal, RStoolbox, sf, sp, tmap, ...)
Visualization & Reporting
Visualization & Reporting

Advanced scientific visualization in R and Python
- Raw data visualization
- Methodological guides
- Temporal and spatial patterns
- Variations and correlations
- Models outputs (marginal effects, standardized effect size, predictions)
- Artistic rendering of scientific representations