Modelled impacts of policies and climate change on land use and water quality in Austria

Abstract Climate change is a major driver of land use with implications for the quality and quantity of water resources. We apply a novel integrated impact modelling framework (IIMF) to analyze climate change impacts until 2040 and stakeholder driven scenarios on water protection policies for sustainable management of land and water resources in Austria. The IIMF mainly consists of the sequentially linked bio-physical process model EPIC, the regional land use optimization model PASMA[grid], the quantitative precipitation/runoff TUWmodel, and the nutrient emission model MONERIS. Three climate scenarios with identical temperature trends but diverging precipitation patterns shall represent uncertainty ranges from climate change, i.e. a dry and wet situation. Water protection policies are clustered to two policy portfolios WAP_I and WAP_II, which are targeted to regions (WAP_I) or applied at the national scale (WAP_II). Policies cover agri-environmental programs and legal standards and tackle management measures such as restrictions in fertilizer, soil and crop rotation management as well as establishment of buffer strips. Results show that average national agricultural gross margin varies by ±2%, but regional impacts are more pronounced particularly under a climate scenario with decreasing precipitation sums. WAP_I can alleviate pressures compared to the business as usual scenario but does not lead to the achievement of environmental quality standards for P in all rivers. WAP_II further reduces total nutrient emissions but at higher total private land use costs. At the national average, total private land use costs for reducing nutrient emission loads in surface waters are 60–200 €/kg total N and 120–250 €/kg total P with precipitation and the degree of regional targeting as drivers. To conclude, the IIMF is able to capture the interfaces between climate change, land use, and water quality in a policy context. Despite efforts to improve model linkages and the robustness of model output, uncertainty propagations in integrated modelling frameworks need to be tackled in subsequent studies.

[1]  E. Schmid,et al.  Climate change impacts on farm production, landscape appearance, and the environment: Policy scenario results from an integrated field-farm-landscape model in Austria , 2016 .

[2]  Martin Volk,et al.  Towards the implementation of the European Water Framework Directive?: Lessons learned from water quality simulations in an agricultural watershed , 2009 .

[3]  Chunlian Jin,et al.  Investigating the nexus of climate, energy, water, and land at decision-relevant scales: the Platform for Regional Integrated Modeling and Analysis (PRIMA) , 2015, Climatic Change.

[4]  E. Schmid,et al.  Spatial modeling of robust crop production portfolios to assess agricultural vulnerability and adaptation to climate change , 2015 .

[5]  Erwin Schmid,et al.  High resolution climate data for Austria in the period 2008–2040 from a statistical climate change model , 2013 .

[6]  Roger Pierrard,et al.  Cost-efficient choice of measures in agriculture to reduce the nitrogen load flowing from the Danube River into the Black Sea An analysis for Austria, Bulgaria, Hungary and Romania , 2008 .

[7]  J. Martin-Ortega,et al.  A transdisciplinary approach to the economic analysis of the European Water Framework Directive , 2015 .

[8]  J. Martin-Ortega,et al.  Integrated cost-effectiveness analysis of agri-environmental measures for water quality. , 2015, Journal of environmental management.

[9]  Jean Poesen,et al.  The use of riparian vegetated filter strips to reduce river sediment loads: an overestimated control measure? , 2006, Hydrological Processes.

[10]  Matthias Zessner,et al.  A novel integrated modelling framework to assess the impacts of climate and socio-economic drivers on land use and water quality. , 2017, Science of the Total Environment.

[11]  J.C.M. van Meijl,et al.  Climate change impacts on agriculture in 2050 under a range of plausible socioeconomic and emissions scenarios , 2015 .

[12]  J. Eom,et al.  The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview , 2017 .

[13]  E. Schmid,et al.  Spatial impacts of the CAP post-2013 and climate change scenarios on agricultural intensification and environment in Austria , 2016 .

[14]  Martin Volk,et al.  How Can We Make Progress with Decision Support Systems in Landscape and River Basin Management? Lessons Learned from a Comparative Analysis of Four Different Decision Support Systems , 2010, Environmental management.

[15]  I. Bateman,et al.  Spatially explicit integrated modeling and economic valuation of climate driven land use change and its indirect effects. , 2016, Journal of environmental management.

[16]  Karl Schneider,et al.  Integrated Modeling of Global Change Impacts on Agriculture and Groundwater Resources , 2012, Water Resources Management.

[17]  Ximing Cai,et al.  Impacts of climate change on agricultural water management: a review , 2015 .

[18]  Ralf Seppelt,et al.  Scenario analysis and management options for sustainable river basin management: Application of the Elbe DSS , 2009, Environ. Model. Softw..

[19]  D. Lapen,et al.  Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin. , 2015, Journal of environmental management.

[20]  Kris A. Johnson,et al.  The Impact of Land-Use Change on Ecosystem Services, Biodiversity and Returns to Landowners: A Case Study in the State of Minnesota , 2011 .

[21]  Edzer J. Pebesma,et al.  rtop: An R package for interpolation of data with a variable spatial support, with an example from river networks , 2014, Comput. Geosci..

[22]  M. Jha,et al.  LUMINATE: linking agricultural land use, local water quality and Gulf of Mexico hypoxia , 2014 .

[23]  Horst Behrendt,et al.  Retention of nutrients in river systems: dependence on specific runoff and hydraulic load , 1999, Hydrobiologia.

[24]  Matthias Zessner,et al.  Identification of phosphorus emission hotspots in agricultural catchments , 2012, The Science of the total environment.

[25]  Tommy Dalgaard,et al.  Buffers for biomass production in temperate European agriculture: A review and synthesis on function, ecosystem services and implementation , 2013 .

[26]  Daniel G. Brown,et al.  Optimizing Spatial Land Management to Balance Water Quality and Economic Returns in a Lake Erie Watershed , 2018 .

[27]  M. Zessner,et al.  Nitrogen fluxes on catchment scale: the influence of hydrological aspects. , 2005, Water science and technology : a journal of the International Association on Water Pollution Research.

[28]  H. E. Andersen,et al.  Quantifying the combined effects of land use and climate changes on stream flow and nutrient loads: A modelling approach in the Odense Fjord catchment (Denmark). , 2018, The Science of the total environment.

[29]  E. Schmid,et al.  Implications of agricultural bioenergy crop production in a land constrained economy – The example of Austria , 2013 .

[30]  Bano Mehdi,et al.  Simulated impacts of climate change and agricultural land use change on surface water quality with and without adaptation management strategies , 2015 .

[31]  Bill Slee,et al.  A review on cost-effectiveness analysis of agri-environmental measures related to the EU WFD: Key issues, methods, and applications , 2011 .

[32]  Günter Blöschl,et al.  Uncertainty and multiple objective calibration in regional water balance modelling: case study in 320 Austrian catchments , 2007 .

[33]  Iain Brown,et al.  Relationships between climate, water resources, land use and diffuse pollution and the significance of uncertainty in climate change , 2012 .

[34]  Integrated modelling of efficient crop management strategies in response to economic damage potentials of the Western Corn Rootworm in Austria , 2017 .

[35]  S. Olin,et al.  Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching , 2017 .

[36]  T. Christiansen,et al.  European waters assessment of status and pressures 2018. , 2012 .

[37]  Robert Finger,et al.  Bio-economic assessment of climate change impacts on managed grassland production , 2010 .

[38]  N. Schuwirth,et al.  Can integrative catchment management mitigate future water quality issues caused by climate change and socio-economic development? , 2016 .

[39]  A. M. Michalak,et al.  Eutrophication will increase during the 21st century as a result of precipitation changes , 2017, Science.

[40]  E. Schmid,et al.  CropRota – A crop rotation model to support integrated land use assessments , 2011 .

[41]  Ana Iglesias,et al.  Physical and economic consequences of climate change in Europe , 2011, Proceedings of the National Academy of Sciences.

[42]  I. Bateman,et al.  The environmental impact of climate change adaptation on land use and water quality , 2015 .

[43]  Suraje Dessai,et al.  Robust adaptation to climate change , 2010 .

[44]  Jimmy R. Williams,et al.  Simulating soil C dynamics with EPIC: Model description and testing against long-term data , 2006 .

[45]  Erwin Schmid,et al.  The Stimuli-Actions-Effects-Responses (SAER)-framework for exploring perceived relationships between private and public climate change adaptation in agriculture. , 2018, Journal of environmental management.

[46]  John M. Antle,et al.  Research Needs for Understanding and Predicting the Behavior of Managed Ecosystems: Lessons from the Study of Agroecosystems , 2001, Ecosystems.

[47]  Matthias Zessner,et al.  Point and diffuse nutrient emissions and loads in the transboundary Danube River Basin - II. Long-term changes , 2005 .

[48]  Peter Zander,et al.  ROTOR, a tool for generating and evaluating crop rotations for organic farming systems , 2007 .

[49]  M. Zessner,et al.  Primary productivity and climate change in Austrian lowland rivers. , 2018, Water science and technology : a journal of the International Association on Water Pollution Research.

[50]  Pierre-Alain Jayet,et al.  Farm-level Autonomous Adaptation of European Agricultural Supply to Climate Change , 2013 .

[51]  E. Schmid,et al.  Integrated Analysis of Climate Change Impacts and Adaptation Measures in Austrian Agriculture , 2014, German Journal of Agricultural Economics.

[52]  Carlos H. Díaz-Ambrona,et al.  Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models , 2007 .

[53]  Georg Kindermann,et al.  Ecosystem services and economic development in Austrian agricultural landscapes - The impact of policy and climate change scenarios on trade-offs and synergies , 2015 .

[54]  Dean Holzworth,et al.  Landscapes Toolkit: an integrated modelling framework to assist stakeholders in exploring options for sustainable landscape development , 2011, Landscape Ecology.

[55]  Armelle Elasri,et al.  OECD-FAO Agricultural Outlook 2019-2028 , 2018, OECD-FAO Agricultural Outlook.

[56]  J. Dymond,et al.  Integrating Environmental and Socio-Economic Indicators of a Linked Catchment–Coastal System Using Variable Environmental Intensity , 2010, Environmental management.

[57]  Hans W Paerl,et al.  Algal blooms: noteworthy nitrogen. , 2014, Science.

[58]  Heikki Lehtonen,et al.  Combining dynamic economic analysis and environmental impact modelling: Addressing uncertainty and complexity of agricultural development , 2007, Environ. Model. Softw..

[59]  H. Vereecken,et al.  Model Based Assessment of Nitrate Pollution of Water Resources on a Federal State Level for the Dimensioning of Agro-environmental Reduction Strategies , 2013, Water Resources Management.

[60]  Bano Mehdi,et al.  Evaluating the impacts of climate change and crop land use change on streamflow, nitrates and phosphorus: A modeling study in Bavaria , 2015 .

[61]  V. Singh,et al.  The EPIC model. , 1995 .

[62]  Matthias Zessner,et al.  Enhancement of the MONERIS Model for Application in Alpine Catchments in Austria , 2011 .

[63]  M. Viitasalo,et al.  Effects of climate change and agricultural adaptation on nutrient loading from Finnish catchments to the Baltic Sea. , 2015, The Science of the total environment.

[64]  M. Trnka,et al.  Drought trends over part of Central Europe between 1961 and 2014 , 2016 .

[65]  Katarina Elofsson,et al.  Cost-Effective Nutrient Reductions to the Baltic Sea , 1997 .