Opendata, web and dolomites

RESOLVE SIGNED

Remote sensing of photosynthetic traits for high latitude plant productivity modelling

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 RESOLVE project word cloud

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

sensing    dynamics    model    status    documented    arctic    anywhere    exposed    earth    chl    indicators    variability    vegetation    local    terrestrial    quantifying    leaf    productivity    changing    chlorophyll    remote    spatial    melting    offset    questions    species    temperature    browning    technologies    saturates    atmospheric    ecosystem    faster    implications    plant    scales    varies    climate    sink    composition    ing    ndvi    magnitude    accounting    predicted    reveal    dominant    drivers    net    sources    lai    budgets    budget    abb    forest    regional    boreal    co2    data    greening    dependent    structure    warm    question    biome    environmental    emissions    satellite    consequent    photosynthetic    fluorescence    inventories    impacts    opened    annual    dependence    concentration    season    physiological    inter    unreliable    function    feedbacks    permafrost    relationships    sensitive    moderate    unprecedented    ecologists    time    longer    carbon    accurately   

Project "RESOLVE" data sheet

The following table provides information about the project.

Coordinator
THE UNIVERSITY OF SHEFFIELD 

Organization address
address: FIRTH COURT WESTERN BANK
city: SHEFFIELD
postcode: S10 2TN
website: www.shef.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-RI
 Starting year 2018
 Duration (year-month-day) from 2018-10-01   to  2020-09-30

 Partnership

Take a look of project's partnership.

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

Map

 Project objective

The arctic is predicted to warm faster and to a greater extent than anywhere on earth. Environmental drivers such as increased temperature and atmospheric CO2 concentration, are resulting in unprecedented changes to the structure, function and/or species composition of Arctic-Boreal biome (ABB) vegetation. However, the ecosystem response to a changing climate varies spatially within the ABB, even in areas exposed to the same changes in climate. Changes in vegetation dynamics have been documented from a range of sources, including atmospheric CO2 data, forest inventories and other field measurements. However, accounting for the spatial-dependence of climate-vegetation-ecosystem feedbacks to model plant carbon uptake is challenging over biome scales. Accurately quantifying the photosynthetic carbon uptake by vegetation is important to carbon budgets, due to its magnitude and inter-annual variability. A particularly time-sensitive question is whether potential increases in vegetation productivity will offset CO2 emissions from melting permafrost, and what the net impacts will be on the terrestrial carbon sink. NDVI satellite-derived data has been well-used by ecologists to reveal ‘greening’ or ‘browning’ trends across the biome and a longer growing season. However, NDVI saturates at moderate leaf chlorophyll (Chl) and LAI values, leading to unreliable relationships with vegetation productivity. Recent developments in remote sensing methods and satellite technologies and has opened up exciting new opportunities to use fluorescence and Chl as indicators of plant physiological status, to address biome-scale questions on climate-induced changes in vegetation productivity. This research will contribute to: improving our understanding of the spatially-dependent dominant environmental drivers affecting ABB vegetation change at local and regional scales, determining the terrestrial carbon budget for the ABB, and the consequent implications on atmospheric CO2 concentration.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "RESOLVE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

MITafterVIT (2020)

Unravelling maintenance mechanisms of immune tolerance after termination of venom immunotherapy by means of clonal mast cell diseases

Read More  

SCAPA (2019)

Functional analysis of Alternative Polyadenylation during neuronal differentiation at single cell resolution

Read More  

deCrYPtion (2019)

Decrypting Mycobacterium cytochrome P450 (CYP) physiological functions by testing hypotheses emitted form large-scale comparative genomics analysis

Read More