English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance

Sándor, R., Barcza, Z., Acutis, M., Doro, L., Hidy, D., Köchy, M., Minet, J., Lellei-Kovács, E., Ma, S., Perego, A., Rolinski, S., Ruget, F., Sanna, M., Seddaiu, G., Wu, L., Bellocchi, G. (2017): Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: Uncertainties and ensemble performance. - European Journal of Agronomy, 88, 22-40.
https://doi.org/10.1016/j.eja.2016.06.006

Item is

Files

show Files
hide Files
:
8007.pdf (Publisher version), 8MB
 
File Permalink:
-
Name:
8007.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Sándor, R.1, Author
Barcza, Z.1, Author
Acutis, M.1, Author
Doro, L.1, Author
Hidy, D.1, Author
Köchy, M.1, Author
Minet, J.1, Author
Lellei-Kovács, E.1, Author
Ma, S.1, Author
Perego, A.1, Author
Rolinski, Susanne2, Author              
Ruget, F.1, Author
Sanna, M.1, Author
Seddaiu, G.1, Author
Wu, L.1, Author
Bellocchi, G.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: This study presents results from a major grassland model intercomparison exercise, and highlights the main challenges faced in the implementation of a multi-model ensemble prediction system in grasslands. Nine, independently developed simulation models linking climate, soil, vegetation and management to grassland biogeochemical cycles and production were compared in a simulation of soil water content (SWC) and soil temperature (ST) in the topsoil, and of biomass production. The results were assessed against SWC and ST data from five observational grassland sites representing a range of conditions – Grillenburg in Germany, Laqueuille in France with both extensive and intensive management, Monte Bondone in Italy and Oensingen in Switzerland – and against yield measurements from the same sites and other experimental grassland sites in Europe and Israel. We present a comparison of model estimates from individual models to the multi-model ensemble (represented by multi-model median: MMM). With calibration (seven out of nine models), the performances were acceptable for weekly-aggregated ST (R2 > 0.7 with individual models and >0.8–0.9 with MMM), but less satisfactory with SWC (R2 < 0.6 with individual models and < ∼ 0.5 with MMM) and biomass (R2 < ∼0.3 with both individual models and MMM). With individual models, maximum biases of about −5 °C for ST, −0.3 m3 m−3 for SWC and 360 g DM m−2 for yield, as well as negative modelling efficiencies and some high relative root mean square errors indicate low model performance, especially for biomass. We also found substantial discrepancies across different models, indicating considerable uncertainties regarding the simulation of grassland processes. The multi-model approach allowed for improved performance, but further progress is strongly needed in the way models represent processes in managed grassland systems.

Details

show
hide
Language(s):
 Dates: 2017
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.eja.2016.06.006
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 8007
Research topic keyword: Food & Agriculture
Research topic keyword: Land use
Research topic keyword: Ecosystems
Model / method: LPJmL
Model / method: Model Intercomparison
Regional keyword: Europe
Organisational keyword: RD2 - Climate Resilience
Working Group: Land Use and Resilience
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: European Journal of Agronomy
Source Genre: Journal, SCI, Scopus
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 88 Sequence Number: - Start / End Page: 22 - 40 Identifier: Other: Elsevier
Other: 1873-7331
ISSN: 1161-0301
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/european-journal-of-agronomy