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FIBER

Understanding soil fertility impacts on terrestrial biomass production in a changing environment

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 FIBER project word cloud

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

models    skills    offs    powerful    soils    multiple    labile    host    pioneering    demonstrated    productivity    inputs    inventories    bayesian    biomass    predictions    fail    carbon    nutrient    assessing    projections    lag    global    biota    cycling    limitation    root    cycle    accumulating    ecosystem    predict    combine    model    trade    accounting    plants    soil    simulate    building    plant    exploited    controls    conceived    dgvm    flexible    climate    limiting    sink    constraints    mining    allocation    integrate    expertise    statistical    dynamic    consistent    scenarios    hosts    poses    economy    land    balance    integrating    documents    strategies    services    unresolved    adjust    secondment    manipulation    optimality    forest    fiber    reduce    principles    deposition    fertility    vegetation    components    feedback    science    simulating    dgvms    experiments    export    data    infertile    fusing    diverging    generation    tools    bp    impacts    insights    observations   

Project "FIBER" data sheet

The following table provides information about the project.

Coordinator
CENTRO DE INVESTIGACION ECOLOGICA Y APLICACIONES FORESTALES 

Organization address
address: UNIVERSITAT AUTONOMA DE BARCELONA EDIFICI C
city: BELLATERRA
postcode: 8193
website: http://www.creaf.uab.es/

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 Spain [ES]
 Project website https://stineb.github.io/
 Total cost 158˙121 €
 EC max contribution 158˙121 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2015
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2017
 Duration (year-month-day) from 2017-02-28   to  2019-02-27

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    CENTRO DE INVESTIGACION ECOLOGICA Y APLICACIONES FORESTALES ES (BELLATERRA) coordinator 158˙121.00

Map

 Project objective

The feedback between climate and the land carbon (C) cycle poses one of the largest uncertainties in climate change projections. FIBER targets the unresolved challenge for Dynamic Global Vegetation Models (DGVM) to simulate effects of soil fertility and nutrient deposition on biomass productivity (BP) and the land C balance. Accumulating evidence documents how plants adjust their growth strategies and C allocation under multiple limiting resources. Current DGVMs lag behind these new insights, produce widely diverging results for C cycling and nutrient limitation under future scenarios and fail to explain the observed land C sink. This work will provide a new global modelling approach to simulating flexible plant C allocation following optimality principles. A better understanding of the controls on BP is crucial for assessing climate change impacts on ecosystem services and to reduce uncertainty in C cycle and climate change projections. I will develop a new type of plant growth model to predict increased root growth and export of labile C to soil biota on infertile soils and under low N inputs, consistent with powerful data from forest inventories and ecosystem manipulation experiments. By accounting for trade-offs between different growth strategies and a C cost of nutrient uptake, I will simulate the plant C economy under optimality constraints – a powerful approach, supported by observations but not exploited for DGVMs. The project is conceived to combine the relevant expertise and exploit the pioneering science of leading European researchers with my integrating role and demonstrated model development skills. Collaboration with two secondment hosts will facilitate the mining of their large data resources and fusing data into model predictions using Bayesian statistical tools. This project will integrate new model components developed at my current host institute and will be a crucial step on the way to building the next generation of vegetation models.

 Publications

year authors and title journal last update
List of publications.
2018 Yilong Wang, Philippe Ciais, Daniel Goll, Yuanyuan Huang, Yiqi Luo, Ying-Ping Wang, A. Anthony Bloom, Grégoire Broquet, Jens Hartmann, Shushi Peng, Josep Penuelas, Shilong Piao, Jordi Sardans, Benjamin D. Stocker, Rong Wang, Sönke Zaehle, Sophie Zechmeister-Boltenstern
GOLUM-CNP v1.0: a data-driven modeling of carbon, nitrogen and phosphorus cycles in major terrestrial biomes
published pages: 3903-3928, ISSN: 1991-9603, DOI: 10.5194/gmd-11-3903-2018
Geoscientific Model Development 11/9 2019-12-02
2019 Benjamin D. Stocker, Jakob Zscheischler, Trevor F. Keenan, I. Colin Prentice, Sonia I. Seneviratne, Josep Peñuelas
Drought impacts on terrestrial primary production underestimated by satellite monitoring
published pages: 264-270, ISSN: 1752-0894, DOI: 10.1038/s41561-019-0318-6
Nature Geoscience 12/4 2019-12-02
2018 Benjamin D. Stocker, Jakob Zscheischler, Trevor F. Keenan, I. Colin Prentice, Josep Peñuelas, Sonia I. Seneviratne
Quantifying soil moisture impacts on light use efficiency across biomes
published pages: 1430-1449, ISSN: 0028-646X, DOI: 10.1111/nph.15123
New Phytologist 218/4 2019-12-02
2018 César Terrer, Sara Vicca, Benjamin D. Stocker, Bruce A. Hungate, Richard P. Phillips, Peter B. Reich, Adrien C. Finzi, I. Colin Prentice
Ecosystem responses to elevated CO 2 governed by plant-soil interactions and the cost of nitrogen acquisition
published pages: 507-522, ISSN: 0028-646X, DOI: 10.1111/nph.14872
New Phytologist 217/2 2019-12-02
2018 Corinne Le Quéré, Robbie M. Andrew, Pierre Friedlingstein, Stephen Sitch, Julia Pongratz, Andrew C. Manning, Jan Ivar Korsbakken, Glen P. Peters, Josep G. Canadell, Robert B. Jackson, Thomas A. Boden, Pieter P. Tans, Oliver D. Andrews, Vivek K. Arora, Dorothee C. E. Bakker, Leticia Barbero, Meike Becker, Richard A. Betts, Laurent Bopp, Frédéric Chevallier, Louise P. Chini, Philippe Ciais, Catherine E. Cosca, Jessica Cross, Kim Currie, Thomas Gasser, Ian Harris, Judith Hauck, Vanessa Haverd, Richard A. Houghton, Christopher W. Hunt, George Hurtt, Tatiana Ilyina, Atul K. Jain, Etsushi Kato, Markus Kautz, Ralph F. Keeling, Kees Klein Goldewijk, Arne Körtzinger, Peter Landschützer, Nathalie Lefèvre, Andrew Lenton, Sebastian Lienert, Ivan Lima, Danica Lombardozzi, Nicolas Metzl, Frank Millero, Pedro M. S. Monteiro, David R. Munro, Julia E. M. S. Nabel, Shin-ichiro Nakaoka, Yukihiro Nojiri, X. Antonio Padin, Anna Peregon, Benjamin Pfeil, Denis Pierrot, Benjamin Poulter, Gregor Rehder, Janet Reimer, Christian Rödenbeck, Jörg Schwinger, Roland Séférian, Ingunn Skjelvan, Benjamin D. Stocker, Hanqin Tian, Bronte Tilbrook, Francesco N. Tubiello, Ingrid T. van der Laan-Luijkx, Guido R. van der Werf, Steven van Heuven, Nicolas Viovy, Nicolas Vuichard, Anthony P. Walker, Andrew J. Watson, Andrew J. Wiltshire, Sönke Zaehle, Dan Zhu
Global Carbon Budget 2017
published pages: 405-448, ISSN: 1866-3516, DOI: 10.5194/essd-10-405-2018
Earth System Science Data 10/1 2019-12-02
2019 Fernández-Martínez, Marcos and Yu, Rong and Gamon, John and Hmimina, Gabriel and Filella, Iolanda and Balzarolo, Manuela and Stocker, Benjamin and Peñuelas, Josep
Monitoring Spatial and Temporal Variabilities of Gross Primary Production Using MAIAC MODIS Data
published pages: 2072-4292, ISSN: 2072-4292, DOI: 10.3390/rs11070874
Remote Sensing 7 2019-12-02
2018 Sara Vicca, Benjamin D Stocker, Sasha Reed, William R Wieder, Michael Bahn, Philip A Fay, Ivan A Janssens, Hans Lambers, Josep Peñuelas, Shilong Piao, Karin T Rebel, Jordi Sardans, Bjarni D Sigurdsson, Kevin Van Sundert, Ying-Ping Wang, Sönke Zaehle, Philippe Ciais
Using research networks to create the comprehensive datasets needed to assess nutrient availability as a key determinant of terrestrial carbon cycling
published pages: 125006, ISSN: 1748-9326, DOI: 10.1088/1748-9326/AAEAE7
Environmental Research Letters 13/12 2019-12-02

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