MACSUR science pick of the month: Regional-scale analysis of carbon and water cycles on managed grassland systems.
Sándor, R., Barcza, Z., Hidy, D., Lellei-Kovács, E., Ma, S., Bellocchi, G., 2016. Modelling of grassland fluxes in Europe: Evaluation of two biogeochemical models. Agriculture Ecosystems & Enviroment 215, 1-19.
Ma, S., Lardy, R., Graux, A.-I., Ben Touhami, H., Klumpp, K., Martin, R., Bellocchi, G., 2015. Regional-scale analysis of carbon and water cycles on managed grassland systems. Environmental Modelling & Software 72, 356-371.
The accurate quantification of carbon (C) and water flows in terrestrial ecosystems is essential for understanding the feedbacks between the biosphere and the atmosphere in the context of global change and climate policies. This knowledge is necessary for selecting adaptation and mitigation options to reduce the risks associated with climate change.
In recent decades, significant progress has been made in the quantification of C and water fluxes in regional studies, but mostly in forest systems and arable crops, while less attention has been paid to grasslands. The pasture simulation model PaSim used flow measurements from 12 grassland sites (http://www.europe-fluxdata.eu) to adapt the PaSim model for assessing C and water flows, for evaluating its performance and for assessing the uncertainties in its estimates.
The studies showed that European grasslands are significant C sinks (on average, 200 g C m-2 yr-1). Thanks to the evaluation of the quality of a grassland-specific biogeochemical model, this study opens up to the exploration of scenarios on European grasslands, e.g. related to the use of resources or to the impacts of (and adaptations to) climate change. The studies showed further that advanced calibration techniques (e.g. Bayesian calibration) can help in reducing projection uncertainties that are likely due to an incomplete knowledge of the species composition of grassland vegetation. However, the satisfactory performance of the model justifies the use of PaSim to represent the dynamics of water and C fluxes in European grasslands.
[Edited by M. Köchy]
The Knowledge Hub FACCE MACSUR brings together the excellence of research in modelling grasslands, livestock, crops, farms, and agricultural trade in order to improve the modelling of climate change impacts on European agriculture and in order to illustrate to political decision makers how climate will affect regional farming systems and food production in Europe. To achieve this goal, MACSUR engages in a range of activities, including methodological comparisons of models and use of their outputs (scaling, uncertainty), linking of complementary models from different sectors, involvement of stakeholders, training of young scientists, and establishing a community of practice across a broad range of scientific disciplines. The five-year project started in June 2012.
FACCE MACSUR is organized as a Knowledge Hub, a new financial and organizational instrument. The novelty of MACSUR lies in the in-kind contributions of 2 million euros which, in addition to the 6 million euros of new money, contribute to facilitating the convergence of already funded and ongoing research, as well as funding new research [financial figures refer to the period 1 June 2012 - 31 May 2015 and were established on preliminary accounting data]. The project includes currently 70 institutions from 18 countries. Activities are funded by national agencies, with the amount of funds and the regulation of their use governed at the national level.
|Collaboration across countries and disciplines||Advancing modelling for risk assessment of climate change impacts||Outlook and remaining challenges||Interaction with stakeholders: bridging the gap|
|Video summary of the Bilbao Colloquium|
- Creating a forum for knowledge exchange across science disciplines.
- Adoption of good-practice examples from other scientific communities.
- Structured description of models and comparisons of model performance.
- Selection of regional case studies as showcases of integrated and inter-disciplinary modelling work.
- Training of young scientists.
- Development of European Representative Agricultural Pathways as input to global scenario exercises.
- Development of a data classification and rating tool for exploration of existing data sets.
- Advancement of knowledge in modelling of crop production, grassland production, price development.
- Collaboration on new funded projects.
- About a dozen manuscripts on methodological aspects of modelling food security published or submitted for publication in peer-reviewed journals.
- Overview papers in high-profile journals.
- Major international scientific conferences and workshops.
Regional case studies
The purpose of regional case studies is a simultaneous and interlinked development of a common conceptual framework and actual models and model links to assist policy makers and actors in the agri-food chain in identifying effective and efficient adaptation and mitigation measures and potential consequence scenarios, e.g. impact on food yield, quality, nutritive value, disease load etc. in perceived hotspots of climate impacts. The studies are geared to ansower the question "what would be the different contributions of different European adaptation strategies to global food security until 2050 at different scales (farm to EU) while keeping the GHG targets?"
Three case studies in Northern Savo (Finland), Mostviertel (Austria), and Oristano (Sardinia, Italy) have been selected as showcase pilot studies to represent the farming systems in northern, central and southern Europe. The case studies expand existing case studies. For compatibility with international research networks AgMIP and ISIMIP the Regional Pilot Studies will apply the new Shared Socioeconomic Pathways (especially SSP2 "continuation" but also SSP3 "fragmentation") in conjunction with the Representative CO2 Concentration Pathway of 8.5 W/m2 (most similar to the SRES A2 emission scenario of the IPCC reports).
FACCE MACSUR integrated Regional Pilot Studies, Workshop results