Evaluation of the ECOSSE Model for Estimating Soil Respiration from Eight European Permanent Grassland Sites

Author:

Abdalla Mohamed1ORCID,Feigenwinter Iris2ORCID,Richards Mark1,Vetter Sylvia Helga1,Wohlfahrt Georg3ORCID,Skiba Ute4,Pintér Krisztina5ORCID,Nagy Zoltán5ORCID,Hejduk Stanislav6,Buchmann Nina2ORCID,Newell-Price Paul7ORCID,Smith Pete1ORCID

Affiliation:

1. Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, 23 St. Machar Drive, Aberdeen AB24 3UU, UK

2. Department of Environmental Systems Science, Institute of Agricultural Sciences, ETH Zürich, 8092 Zurich, Switzerland

3. Department of Ecology, University of Innsbruck, Sternwartestrasse 15, 6020 Innsbruck, Austria

4. UK Centre for Ecology & Hydrology, Penicuik EH26 0QB, UK

5. MTA-MATE Agroecology Research Group, Department of Plant Physiology and Plant Ecology, Institute of Agronomy, Hungarian University for Agricultural and Life Sciences, Pater 1, 2100 Godollo, Hungary

6. Department of Animal Nutrition and Forage Production, Mendel University in Brno, 61300 Brno, Czech Republic

7. ADAS, Mansfield NG20 9PD, UK

Abstract

This study used the ECOSSE model (v. 5.0.1) to simulate soil respiration (Rs) fluxes estimated from ecosystem respiration (Reco) for eight European permanent grassland (PG) sites with varying grass species, soils, and management. The main aim was to evaluate the strengths and weaknesses of the model in estimating Rs from grasslands, and to gain a better understanding of the terrestrial carbon cycle and how Rs is affected by natural and anthropogenic drivers. Results revealed that the current version of the ECOSSE model might not be reliable for estimating daily Rs fluxes, particularly in dry sites. The daily estimated and simulated Rs ranged from 0.95 to 3.1 g CO2-C m−2, and from 0.72 to 1.58 g CO2-C m−2, respectively. However, ECOSSE could still be a valuable tool for predicting cumulative Rs from PG. The overall annual relative deviation (RD) value between the cumulative estimated and simulated annual Rs was 11.9%. Additionally, the model demonstrated accurate simulation of Rs in response to grass cutting and slurry application practices. The sensitivity analyses and attribution tests revealed that increased soil organic carbon (SOC), soil pH, temperature, reduced precipitation, and lower water table (WT) depth could lead to increased Rs from soils. The variability of Rs fluxes across sites and years was attributed to climate, weather, soil properties, and management practices. The study suggests the need for additional development and application of the ECOSSE model, specifically in dry and low input sites, to evaluate the impacts of various land management interventions on carbon sequestration and emissions in PG.

Funder

EU Horizon 2020 programme

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference72 articles.

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