Objective
Problems to be solved
If sustainable management and restoration of biodiversity is to be successful, it is important to have cost-effective methods for reliable large-scale monitoring of biodiversity, to be able to assess the current state of biodiversity, determine trends and patterns and to evaluate the effectiveness of restoration measures. In addition, there is an urgent need for tools to predict the effects of human activity and restoration measures on the biodiversity of target ecosystems. The proposed project aims at providing the necessary methodologies and tools (indices, indicator species lists, predictive mathematical models) for monitoring biodiversity and assessing human impact on biodiversity in a specific type of habitat that is important in many areas of Europe: mesotrophic to eutrophic shallow lakes that are subject to natural or cultural eutrophication. Shallow lakes are abundant in Europe, are ecologically and economically very important, and are subject to many threats.
Scientific objectives and approach
The objectives of BIOMAN are
(1) to develop reliable and cost-effective indices for measuring overall biodiversity in the water column of shallow water bodies;
(2) to develop mathematical tools that allow prediction of the effects of human impact on biodiversity in shallow waters, including the prediction of the response to restoration measures;
(3) to compile a database on the current state of biodiversity in a representative sample of European shallow bodies, covering the classical food web (fish, zooplankton, phytoplankton) as well as the microbial loop (bacterioplankton and heterotrophic protists), and also covering genetic diversity of zooplankton and diversity as measured through the egg bank; and
(4) to develop a reliable method to evaluate the success of restoration measures. In a large-scale field survey covering 96 shallow standing waters along a north-south gradient in Europe, we focus on organisms occurring in the water column, belonging to the microbial loop (bacteria, heterotrophic nanoflagellates, ciliates) and the classical food web (phytoplankton, zooplankton, fish). The ponds and lakes studied differ widely in the degree of human impact (relatively pristine and successfully restored habitats versus heavily impacted ones), degree of isolation, structural diversity, nutrient loading and size. We compare different measures of biodiversity in terms of the indices used (e.g. Hill numbers), the functional resolution (trophic level), the type of biodiversity measured (taxon diversity, genetic diversity within taxa) and the approach used for taxon delimitation (morphological or genetic criteria). In parallel with our field survey, we also measure diversity in the resting egg pool, allowing a comparison of biodiversity in the active populations (field survey) and in the resting egg bank for specific groups of organisms (e.g. zooplankton) and potentially providing an estimate of potential diversity. A comparative multivariate analysis incorporating the data on the different trophic levels and levels of diversity (taxon versus genetic diversity) as well as the data on resting egg banks is used to develop a cost-effective and reliable measure of overall biodiversity. The field survey provides data on the current state of biodiversity and characteristics of the target state of biodiversity in European shallow lakes. The data are incorporated into mathematical models and an expert system to predict the response of lakes to specific impacts (e.g. restoration measures) in terms of biodiversity, given the starting conditions of the lake studied. To back up our survey results, we also explore the relation between biodiversities at different trophic levels (zooplankton and phytoplankton) experimentally, and validate our indices and mathematical tools using existing data sets on experimental lake manipulations.
Expected impacts
Our results (cost-effective methods to assess biodiversity in shallow lakes; databases on biodiversity in European shallow lakes; predictive mathematical tools on biodiversity changes upon changes in, e.g. human impact) will be of use to water managers and policy makers. Our results will contribute to the standardization of biodiversity studies, provide methods for the follow-up of restoration measures, and contribute to the development of common regulations and standards in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences databases
- natural sciences biological sciences microbiology bacteriology
- natural sciences computer and information sciences artificial intelligence expert systems
- natural sciences mathematics applied mathematics mathematical model
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
3000 LOUVAIN / LEUVEN
Belgium
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.