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.

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

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.)

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

DEF2DEV (2019)

Identification of the mode of action of plant defensins during root development and plant defense responses.

Read More  

GrowthDevStability (2020)

Characterization of the developmental mechanisms ensuring a robust symmetrical growth in the bilateral model organism Drosophila melanogaster

Read More