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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

0

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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.

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

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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