NETWORK

Developing a biological network approach to quantify indirect costs and benefits of natural ecosystems to tropical agriculture

 Coordinatore THE UNIVERSITY OF EXETER 

 Organization address address: Northcote House, The Queen's Drive
city: EXETER
postcode: EX4 4QJ

contact info
Titolo: Ms.
Nome: Samantha
Cognome: Irish
Email: send email
Telefono: +44 1392 722375
Fax: +44 1392 263686

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 168˙000 €
 EC contributo 168˙000 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2012-IRSES
 Funding Scheme MC-IRSES
 Anno di inizio 2012
 Periodo (anno-mese-giorno) 2012-08-01   -   2016-07-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF EXETER

 Organization address address: Northcote House, The Queen's Drive
city: EXETER
postcode: EX4 4QJ

contact info
Titolo: Ms.
Nome: Samantha
Cognome: Irish
Email: send email
Telefono: +44 1392 722375
Fax: +44 1392 263686

UK (EXETER) coordinator 90˙300.00
2    UNIVERSITE PIERRE ET MARIE CURIE - PARIS 6

 Organization address address: Place Jussieu 4
city: PARIS
postcode: 75252

contact info
Titolo: Prof.
Nome: Ouerdia
Cognome: Oumohand
Email: send email
Telefono: 3344272656
Fax: +33 1 44 27 74 67

FR (PARIS) participant 77˙700.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

natural    models    es    decision    tropical    themselves    components    benefit    benefits    effect    biological    strategies    pests    organisms    biodiversity    mango    first    crop    near    vegetation    empirical    pest    africa    supporting    france    ess    entire    adjacent    ecological    services    agricultural    pollinators    insects    farmers    surrounding    ecosystem    quantify    interactions    network    ways    ecosystems    data    south    farmland    plantation    dynamics   

 Obiettivo del progetto (Objective)

'Ecosystem services (ES) have risen to prominence as a motivation for conserving biodiversity. The role of biodiversity in ES is however complex and depends on the intricate ways in which the components of ecosystems interact. We have long been aware that “tinkering” with one part of an ecosystem can have unforeseen consequences elsewhere in that system, as effects are transmitted through the network of biological interactions. Advances in network theory, and empirical studies, are now providing insight into how these complex ecological systems operate, and how influencing one part of a network can have consequences for the entire system. NETWORK will bring together scientist with expertise in the empirical (UK), theoretical (France) and applied (South Africa) aspects that are required to make the transition from fundamental ecology to practice possible. It will focus on a proof-of-concept case study on the interactions between mango plantations and surrounding natural ecosystems. Natural vegetation near farmland can sustain populations of natural enemies of pest insects and of pollinators and thereby provide an important ecosystem service but can also be a source of the pest insects themselves (as farmers believe is the case in the mango system). A dynamic ecological network approach will be employed in this project to quantify these opposing effects in an important tropical crop (mango) under different management conditions. The project will be one of the first studies to take an in-depth ecological look at the tradeoffs between ES and the costs of natural systems, by studying the dynamics of, and interactions between, all the component species in the network. This will give insight into the quantitative effect of the natural ecosystem on crop production, and the development of methodology for testing alternative management strategies in silico to aid informed decision making.'

Introduzione (Teaser)

Researchers are investigating biological networks within a complex ecosystem to determine how natural vegetation adjacent to agricultural land can benefit farmers.

Descrizione progetto (Article)

Ecosystems benefit humankind in many ways, from providing food, water and pollinators to regulating climate and disease. Collectively, these benefits are known as ecosystem services (ESs).

The contribution of various organisms to ESs is complex, with countless interactions affecting how the entire system operates. For example, natural vegetation near farmland can provide ESs by supporting pollinators and providing a home for organisms that prey on pests.

It can also perform a disservice, however, by supporting the pest insects themselves; managing this delicate balance between costs and benefits is therefore critical.

The EU-funded NETWORK project aimed to quantify the costs and benefits of natural ecosystems to adjacent farmland, and to develop environmental management models.

NETWORK will provide the first in-depth study of ecosystem dynamics under different management strategies. To this end, researchers from France, South Africa and the United Kingdom will study interactions of a mango plantation with surrounding natural vegetation.

After consulting with farmers to identify economically important pest insects, researchers gathered year-round data on all interacting components of the ecological network. As guidance for managing the trade-off between costs and benefits of ESs, they also developed computer models to predict the effect of ESs on crop production.

They found that numbers of pollinating insects and pests within the mango plantation were dependent on the distance between the natural vegetation and the plantation. This indicates that ESs provided by natural vegetation can easily be managed at farm level rather than regionally.

Researchers will use their growing collection of ecosystem data to establish the link between biodiversity, ESs provision and crop yields. Insights into the effect of a natural ecosystem on tropical crop production are relevant to global agriculture and will help inform agricultural decision makers.

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