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CHOCOLATE4LIFE SIGNED

Achieving sustainable agriculture in African cacao through DNA metabarcoding and food web models

Total Cost €

0

EC-Contrib. €

0

Partnership

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Project "CHOCOLATE4LIFE" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY OF GLASGOW 

Organization address
address: UNIVERSITY AVENUE
city: GLASGOW
postcode: G12 8QQ
website: www.gla.ac.uk

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 195˙454 €
 EC max contribution 195˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-08-01   to  2021-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF GLASGOW UK (GLASGOW) coordinator 195˙454.00

Map

 Project objective

Anthropocentric destruction of natural ecosystems, such as tropical rainforests, has created an urgent need to balance agricultural production with biodiversity. To achieve sustainability, we must manage ecosystems to prioritise both species that both maximise ecosystem support for crops (“ecosystem service species”) and those that maximise biodiversity (“keystone species”). The framework of community models offers an ideal platform for managing a balance between keystone and ecosystem service species, but two principle components remain: 1) a method for rapidly identifying key species and quantifying interactions between species, and 2) quantitative methods that can fit dynamic community models to such novel data. To overcome the first issue, I will characterize species interactions by implementing state-of-the-art diet metabarcoding, in which the prey of hundreds of animals as well as the plant taxa consumed by prey can be simultaneously identified through predator faeces. With my host at the University of Glasgow, these data will enable me to develop a step-change in food-web modelling. Using Bayesian statistical inference I will construct models in which the strength of connections among species will dynamically adapt to changes in their abundance. With species identifications from metabarcoding, I will build multi-trophic food web models of African shade cacao plantations to address three objectives: 1) identify keystone trees that maximize richness of birds and arthropods (i.e., biodiversity); 2) determine ecosystem service species that maximize predation of damaging pest arthropods and 3) identify “crossover species”: those with both ecosystem service and keystone properties. This cutting edge approach will provide an ecosystem-level understanding of factors affecting the relationship between biodiversity and agricultural production, allowing sustainable management and many further applications in agriculture, ecology, disease control and beyond.

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The information about "CHOCOLATE4LIFE" are provided by the European Opendata Portal: CORDIS opendata.

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