- Location: Ireland, Northern Ireland
- Institution: Queen's University Belfast, Trinity College Dublin
- Status: Active
- Type: Research
- Theme: Projections
- Timeframe: 2024 – 2029
Share on social
This project uses existing data to study how climate and human activities affect biodiversity. Biodiversity means many different things, from individual species to communities of plants and animals and the connections between them.
To understand this complexity, this project focuses on specific traits of different species, like how fast they grow, their life cycle, and their role in the environment.
By doing this, we can better understand how different species might be affected by changes in land use and climate. This will also help us predict which types of species might struggle or thrive in the future as the climate and land use continue to change.
Project Outputs
Communicating long-term changes in local climate risk using a physically plausible causal chain
Assessment of Biodiversity Considerations in the Carbon Budgets Process
The plant ecology of nature-based solutions for people, biodiversity and climate
Using dynamic documents to mend cracks in the reproducible research pipeline
Interactions among nutrients govern the global grassland biomass–precipitation relationship
Defining ecotourism for mainstream application and to support sustainable tourism governance
Genome size influences plant growth and biodiversity responses to nutrient fertilization in diverse grassland communities
When function, not origin, matters
Project Goals
-
Improve Biodiversity Maps
Help create better maps of biodiversity to support policy decisions. This includes gathering and reviewing the resources available for mapping biodiversity across the islands of Ireland and Great Britain.
-
Understand Species Responses
Study how different species are impacted by changes in climate and land use by looking at their traits, like how they grow and reproduce. If possible, this research will also include marine biodiversity.
-
Predict Future Changes
Use climate and land use data to predict which species are likely to thrive (“winners”) and which may struggle (“losers”) in different future scenarios.
Institutions
