Így kutattunk mi! tudományos cikkgyűjtemény

A Nemzeti Kiválóság Program gondozásában megjelent az Így kutattunk mi! tudományos cikkgyűjtemény.


Dr. Sándor Renáta (A2-JÁDJ-12-0001)

Jedlik Ányos Doktorjelölt Ösztöndíj-2012
Talaj-növény-légkör rendszer anyagforgalmi modellparamétereinek léptékfüggő meghatározása
Agrártudományok/ Multidiszciplináris agrártudományok

http://nemzetikivalosag.kih.gov.hu/data/cikk/a2-jadj-12-0001.pdf

Modelling of grassland fluxes in Europe

This article is published in the frame of MACSUR model intercomparison:


R. Sándor Z. Barcza, D. Hidy, E. Lellei-Kovács, S. Ma,1, G. Bellocchi:
Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models
Agriculture, Ecosystems and Environment 215 (2016) 1–19

Abstract

Two independently developed simulation models – the grassland-specific PaSim and the biome-generic Biome-BGC MuSo (BBGC MuSo) – linking climate, soil, vegetation and management to ecosystem biogeochemical cycles were compared in a simulation of carbon (C) and water fluxes. The results were assessed against eddy-covariance flux data from five observational grassland sites representing a range of conditions in Europe: Grillenburg in Germany, Laqueuille in France with both extensive and intensive management, Monte Bondone in Italy and Oensingen in Switzerland. Model comparison (after calibration) gave substantial agreement, the performances being marginal to acceptable for weekly-aggregated gross primary production and ecosystem respiration (R2 ~0.66-0.91), weekly evapotranspiration (R2 ~0.78-0.94), soil water content in the topsoil (R2 ~0.1-0.7) and soil temperature (R2 ~0.88-0.96). The bias was limited to the range -13 to 9 g C m-2 week-1 for C fluxes (-11 to 8 g C m-2 week-1 in case of BBGC MuSo, and -13 to 9 g C m-2 week-1 in case of PaSim) and -4 to 6 mm week-1 for water fluxes (with BBGC MuSo providing somewhat higher estimates than PaSim), but some higher relative root mean square errors indicate low accuracy for prediction, especially for net ecosystem exchange The sensitivity of simulated outputs to changes in atmospheric carbon dioxide concentration ([CO2]), temperature and precipitation indicate, with certain agreement between the two models, that C outcomes are dominated by [CO2] and temperature gradients, and are less due to precipitation. ET rates decrease with increasing [CO2] in PaSim (consistent with experimental knowledge), while lack of appropriate stomatal response could be a limit in BBGC MuSo responsiveness. Results of the study indicate that some of the errors might be related to the improper representation of soil water content and soil temperature. Improvement is needed in the model representations of soil processes (especially soil water balance) that strongly influence the biogeochemical cycles of managed and unmanaged grasslands.

 

Sensitivity and uncertainty analysis

I took a part in the MACSUR Conference 2015 Integrated Climate Risk Assessment in Agriculture & Food, University of Reading, UK, Wednesday 8th – Friday 10th April 2015

You can find my presentation with the help of the following link:

MACSUR Conference presentation

The International Livestock Modelling and Research Colloquium

LiveM organized the International Livestock Modelling and Research Colloqium in October 2014 in Bilbao, Spain, at the Maritime Museum on the banks of the Nervión-Ibaizabal estuary, bringing together around 45 MACSUR researchers from LiveM, CropM and TradeM, as well as representatives of ATF (Animal Task Force), EAAP (European Federation of Animal Science), the GRA Animal Health and GHG Emissions Intensity Network, AgMIP (Agricultural Modelling Improvement Programme) and the SOLID (Sustainable, Organic and Low Input Dairying) project.

The aims of the meeting were to showcase modelling research related to LiveM and MACSUR, to bring closer ties between partners and the external initiatives represented, and to hold discussions on the future direction and purpose of the theme as the MACSUR knowledge hub moves towards its second phase from 2015-2017.

Video summary of the meeting and the activities of LiveM here:  livestock-modelling video