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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.

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

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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