Opendata, web and dolomites


Remote sensing of photosynthetic traits for high latitude plant productivity modelling

Total Cost €


EC-Contrib. €






 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.

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

Project "RESOLVE" data sheet

The following table provides information about the project.


Organization address
postcode: S10 2TN

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


Take a look of project's partnership.

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


 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.

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

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