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Predictive Understanding of the effects of Global Change on Ecological Communities and Ecosystem Functions

Project description

Scope and limits of quantitative predictions of ecosystem functioning

The decline in critical ecosystem services underscores the necessity for policies that promote biodiversity. To implement these policies, it is crucial to understand whether changes directly result from global change or if changes in biodiversity mediate them. With this in mind, the ERC-funded BEFPREDICT project bridges the gap between global change and biodiversity and ecosystem functions. It builds upon recent advancements in community ecology, trait-based ecology and methods for predictive model comparison. The project will develop new predictive models (JEF models), create tools for model comparison and assessment, and apply the JEF models to long-term observational data sets. Its objective is to establish the scope and limitations of quantitative predictions of ecosystem functioning.

Objective

The observed degradation in essential ecosystem services has catalysed a demand for biodiversity promoting policies. To implement them we need quantitative information on how ecosystem functions are changing due to the direct effects of global change vs. effects mediated by changes in biodiversity. With BEFPREDICT, I will tackle this challenge by providing a novel framework for linking global change, through its effects on biodiversity, to ecosystem functions. My approach builds on three recent developments, each transformative in itself but so far essentially unlinked to each other. First, community ecology has significantly progressed our ability to predict how abiotic drivers shape biodiversity. Second, trait-based ecology offers a tool for learning mechanisms behind ecosystem functions. Third, methods developed by climate scientists and statisticians provide tools for predictive model comparison and assessment in ecology, which have so far largely been lacking. Building on these advances, I will: (Objective 1) develop novel predictive models of the joint distribution of species and ecosystem functions that build on community and trait-based ecology (JEF models); (Objective 2) develop a novel toolbox of model comparison and assessment methods for comparing and testing for the predictive limits of ecological models; (Objective 3) apply the JEF models to unique long-term observational datasets. Through this joint approach, I will tease apart the relative roles of direct effect of the abiotic environment on ecosystem functions and the effects mediated by changes in biodiversity. This proposal balances high risk and high gain by aiming at the truly ambitious goal of establish the scope and limits for quantitative predictions of ecosystem functioning. These conceptual and methodological breakthroughs will open new horizons for global change research and provide tools urgently needed for a transformative change to ecologically sustainable societies.

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Programme(s)

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Topic(s)

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Funding Scheme

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2022-COG

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Host institution

HELSINGIN YLIOPISTO
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 999 923,00
Address
FABIANINKATU 33
00014 HELSINGIN YLIOPISTO
Finland

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 999 923,00

Beneficiaries (1)

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