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NonlinearEBM SIGNED

Nonlinearity of Key Economic and Environmental Variables in Coastal/Marine Ecosystem-Based Management (EBM)

Total Cost €

0

EC-Contrib. €

0

Partnership

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 NonlinearEBM project word cloud

Explore the words cloud of the NonlinearEBM project. It provides you a very rough idea of what is the project "NonlinearEBM" about.

ebm    discharged    strategy    cwq    coastal    ecosystem    decisions    informative    bioaccumulation    economic    optimization    models    marine    industrial    mercury    species    assumed    human    cd    implication    social    validation    incorrect    heavy    single    humans    momentum    world    lack    combines    accumulate    bioconcentration    resource    natural    published    assumptions    gained    metals    utilize    capital    decision    instrumental    hg    insufficient    foundation    pressures    combined    traditional    concentrate    union    trade    ecosystems    toxicity    model    kabam    modeling    primary    conservation    waters    linearly    bio    goals    conflicting    mainstreaming    underestimation    benefit    mathematical    practical    worldwide    variables    previously    pb    relationships    assessing    protecting    optimizing    environments    building    basis    united    offs    wastewater    ecological    data    caesar    sustainability    frequently    overestimation    organisms    ineffective    advancing    cadmium    quantitative   

Project "NonlinearEBM" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.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 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 195˙454.00

Map

 Project objective

Traditional approaches of natural resource management that focus on a single species or sector is widely seen as insufficient/ineffective in protecting coastal/marine systems from human pressures. As a result, ecosystem-based management (EBM) has been proposed as a benefit optimization and decision-making strategy that combines often conflicting human development and ecosystem conservation goals. EBM has recently gained momentum in coastal/marine management initiatives in both United States and European Union. In assessing trade-offs during EBM analysis, due to the lack of data it is frequently assumed that the key ecosystem variables change linearly with the change of key economic variables. If incorrect, such assumptions can lead to a significant overestimation or underestimation of the human impact on coastal/marine ecosystems. Validation of such mathematical relationships/trade-offs would be instrumental in further advancing EBM approach and its practical implication around the world as well as natural resource management in general. This study would focus on mercury (Hg), lead (Pb) and Cadmium (Cd), three heavy metals that are of primary concern in European marine environments because of their toxicity, ability to bio-accumulate and bio-concentrate in marine organisms/humans, and its wide presence in industrial wastewater which is discharged into coastal waters. The proposed project would utilize a modeling approach combined with validation of model data with previously published field data. Three models would be applied: Natural Capital Project CWQ, CAESAR Bioconcentration and KABAM Bioaccumulation. This study would contribute to the building of foundation for mainstreaming natural capital into decisions for numerous marine coastal social-ecological systems in Europe and worldwide by providing evidence based, quantitative basis to make informative decisions in optimizing the economic development and sustainability goals.

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

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