Modelling Forest Community Responses to Environmental Change
This project aims to develop a new modeling approach to predict forest community responses to climate change and invasive species, enhancing management strategies for resilient ecosystems in North America.
Projectdetails
Introduction
Forests encompass enormous biodiversity and provide a wealth of ecosystem services responsible for the health, well-being, and livelihoods of humans worldwide. As the climate changes, trees are expected to experience unique climate conditions far exceeding their native ranges—a situation compounded by the proliferation of non-native species worldwide.
Problem Statement
Yet there remain few approaches for reliably projecting how forests will change over the coming century, in part because current models struggle to predict how groups of species will respond.
Project Goal
The goal of this project is to overcome these limitations by pioneering a fundamentally new modelling approach to forecasting how communities—rather than single species—will respond to the twin threats of climate change and invasive species.
Methodology
To do this, the proposed work will incorporate a functional and abiotic backbone into a theoretical model of community-level coexistence, overcoming the key limitation of traditional species distribution models. By applying this model to high-resolution forest inventory data, we will quantify how species' traits interact with abiotic conditions, management history, and disturbance regimes to govern the composition and resilience of forests across North America.
Expected Outcomes
As a result, this approach will allow us to identify:
- How functional traits shape forest community composition.
- How abiotic conditions affect these relationships.
- How management history, disturbance, and extreme events mediate co-occurrence.
- How forest communities will change over the coming decades.
- How native and non-native species' ranges will respond.
- The cascading effects on biodiversity and ecosystem function.
Conclusion
By providing robust projections of forest change across North America, these results will directly inform management efforts to foster resilient forests, while also pioneering a new generation of models for understanding how ecosystems will respond to environmental change.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.498.147 |
Totale projectbegroting | € 1.498.147 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- UNIVERSITY COLLEGE LONDONpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
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Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions
BEFPREDICT aims to develop predictive models linking global change, biodiversity, and ecosystem functions to inform biodiversity-promoting policies and enhance sustainability efforts.
Forest vulnerability to compound extremes and disturbances in a changing climate
ForExD aims to enhance understanding of forest-climate-disturbance interactions using remote sensing and modeling to improve predictions of forests' CO2 sequestration potential under climate change.
Coevolutionary Consequences of Biodiversity Change
This project investigates how climate change alters plant-microbe interactions and coevolutionary dynamics, revealing impacts on biodiversity and ecosystem functioning over 35 years.
Long-term consequences of altered tree growth and physiology in the Earth System
This project aims to enhance climate projections by improving forest growth and water use efficiency simulations using tree-ring data to reduce uncertainties in carbon cycle feedbacks.
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