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Schönhart, M., Schauppenlehner, T., Kuttner, M., & Schmid, E. (2015). Integrated Assessment of Climate Change Mitigation and Adaptation Impacts at Landscape level: Mostviertel, Austria. In FACCE MACSUR Reports (Vol. 6, SPp. 6). Brussels.
Abstract: ConclusionsIncreasing productivity can increase intensification pressuresThreatened permanent (extensive) grasslands and landscape elements, butsubject to resource constraints, costs and prices andfuture production potential to increase global food supplyFuture RDP and environmental policy design (e.g. WFD) should take changing productivity into accountHeterogeneity matters at farm and regional levelChanging relative competitiveness of farmsFuture research: analyze uncertainties No Label
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Schönhart, M., Schauppenlehner, T., Kuttner, M., Kirchner, M., & Schmid, E. (2016). Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria. Agricultural Systems, 145, 39–50.
Abstract: Climate change is among the major drivers of agricultural land use change and demands autonomous farm adaptation as well as public mitigation and adaptation policies. In this article, we present an integrated land use model (ILM) mainly combining a bio-physical model and a bio-economic farm model at field, farm and landscape levels. The ILM is applied to a cropland dominated landscape in Austria to analyze impacts of climate change and mitigation and adaptation policy scenarios on farm production as well as on the abiotic environment and biotic environment. Changes in aggregated total farm gross margins from three climate change scenarios for 2040 range between + 1% and + 5% without policy intervention” and compared to a reference situation under the current climate. Changes in aggregated gross margins are even higher if adaptation policies are in place. However, increasing productivity from climate change leads to deteriorating environmental conditions such as declining plant species richness and landscape appearance. It has to be balanced by mitigation and adaptation policies taking into account effects from the considerable spatial heterogeneity such as revealed by the ILM. (C) 2016 Elsevier Ltd. All rights reserved.
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Schönhart, M., & Nadeem, I. (2015). Direct climate change impacts on cattle indicated by THI models. Advances in Animal Biosciences, 6, 17.
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Schönhart, M. (2016). Heat stress impacts on cows in a case study landscape measured by an integrated modelling framework. Advances in Animal Biosciences, 7(03), 235–237.
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Olesen, J. E., Niemeyer, S., Ceglar, A., Roggero, P. - P., Lehtonen, H., Schönhart, M., et al. (2017). Section 5.3. Agriculture. (pp. 223–243). Climate change, impacts and vulnerability in Europe 2016. An indicator-based report, EEA Report (1/2017). Copenhagen, Denmark: European Environmental Agency.
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