From individual plants to landscapes, from field observations to Earth observation: we study how biodiversity is organised, how it changes and how ecological evidence can inform conservation.
Ecological patterns depend on where, when and how we observe them. Our research connects quantitative plant ecology with remote sensing and spatial analysis to understand biodiversity in a changing world.
We start from ecological questions, select the evidence needed to address them and bring together field measurements, experiments, models and geospatial data.
These directions are interconnected, not disciplinary boundaries. Select one to explore the publications and methods behind it.
01 / 06How do communities change when we look closer, further or over longer periods?
We connect field surveys, diversity metrics, sampling theory and long-term observations to distinguish ecological signals from the effects of scale and sampling.
02 / 06Which traits shape community responses to disturbance and environmental stress?
Functional diversity, plant ecophysiology and community composition reveal the mechanisms linking biodiversity to ecosystem response.
03 / 06Can spectral and structural information reveal habitats that are difficult to map from the ground?
Satellite imagery, UAV surveys, hyperspectral sensors, LiDAR and machine learning are combined with field evidence to map vegetation and habitats.
04 / 06How does landscape configuration affect ecological processes and movement?
We examine fragmentation, corridors, land-cover mosaics and infrastructure through spatially explicit modelling and multi-scale landscape analysis.
05 / 06What do climate extremes, wildfire, land-use change and invasions mean for ecological communities?
Long-term datasets and environmental models help us understand disturbance, recovery and changes in community composition and function.
06 / 06Where should monitoring, restoration and biodiversity safeguards be concentrated?
We integrate community data, habitat assessment and spatial prioritisation in protected areas, agricultural landscapes and environmental impact assessment.
+Across every direction: biodiversity measurement, reproducible inference, ecosystem services and socio-ecological applications.
Three examples of how our research connects a scientific question to an explicit analytical approach and a published output.
Multi-resolution convolutional neural networks are used to identify coastal dune habitats, connecting image analysis with vegetation science.
Sentinel / high-resolution imagery · CNNsRead the study Journal of Vegetation Science · 2026
Rarefaction profiles for repeated surveys reveal how temporal variability and directional change shift from expected alpha diversity to sampled gamma diversity as sampling units are accumulated.
Repeated surveys · Rarefaction · Temporal profilesRead the study Ecological Informatics · 2026
A plant-community analysis examines how conservation value differs among ecosystems embedded within agricultural landscapes.
Plant communities · Conservation prioritisationRead the study Biological Conservation · 2026Choose an ecological question, ecosystem or method to discover connections in our scientific literature. This is a selective window into the research, not another publications catalogue.
Showing the three most recent mapped outputs. Select a theme to narrow the evidence.
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205 topically classified records from the site catalogue and linked researcher bibliographies; the index includes a clearly identified preprint. Topical inclusion does not imply that every co-authored output originated in the present laboratory.