Changes in soil organic C-stocks from land use change to estimate CO2 emissions and removals from the LUISA Territorial Reference Scenario 2017

The land use changes of the LUISA Territorial Reference Scenario (TRS) 2017 with the Common Agricultural Policy (CAP) option were evaluated for changes in soil organic C-stocks and subsequent emissions and removals of CO2. The procedure applied follows the 2006 IPCC Guidelines for a Tier 1 method and is implemented as a spatial application in a GIS to conform to Approach 3. The TRS scenario data from LUISA was processed under two suppositions, one treating the scenario data as a continuation of the previously processed statistical data (historic period) and a second that directly processed the scenario data. Another processing option evaluated was the treatment of a mixed class in the scenario data. Under all processing options the TRS scenario data continues the trend in soil organic C-stocks from the historic period. Soil organic C-stocks in mineral soils continue to increase, albeit with a decrease in the annual rate of accumulation after 2020. Under the TRS-CAP scenario soil organic carbon stocks are approx. 0.6% higher than in 2005, which corresponds to a removal of 628 Mt CO2 until 2030. Emissions from managed organic soils remain notably higher than removals on mineral soils, but with higher uncertainty of estimates. An evaluation of an option without CAP pointed to a 0.1% higher accumulation of soil organic carbon in most regions than under the CAP in 2030. However, it should be noted that this evaluation did not take any supporting measures of the CAP for of management practices and input levels into account that are designed to increase soil organic carbon stocks.JRC.D.3-Land Resource

An analysis of water consumption in Europe’s energy production sector: The potential impact of the EU Energy Reference Scenario 2013 (LUISA configuration 2014)

This report presents the outcome of a study carried out in the frame of a wider assessment performed with the LUISA (Land Use-based Integrated Sustainability Assessment) modelling platform, configured in compliance with the “EU Energy, Transport and GHG emissions trends until 2050” (EU Energy Reference Scenario 2013). A new methodology has been implemented to estimate and map water requirements for energy production in Europe. In this study, the category of dedicated energy crops (ENCR) played an important role. These crops are expected to emerge as additional fuel sources within the EU28 by 2020. Water requirements in the remaining energy sectors have also been estimated in order to assess whether the introduction of these ENCR may, in any way, compete with the existing water requirements for energy production. More specifically, the study tackles the following questions: • Where and to what extent will there be potential competition with cooling water required for electricity generation related to the introduction of these crops? • How will these trends evolve over time? • How will the introduction of energy crops affect the overall water consumption trends in Europe? The analysis indicates that high irrigation requirements for ENCR are foreseen in France, Poland, Spain, eastern Germany, and regions of Italy and the UK. Substantial increases in requirements are seen for several regions from 2020 to 2030. ENCR are absent in Finland, Denmark, Greece, Malta, Cyprus and Croatia for the whole simulation period. Water consumption for cooling in electricity production has been quantified for the years 2020 and 2030 for 2 scenarios with a minimum and a maximum value. There is notable variation in overall water consumption, both over time and between the scenarios. There is an increase in cooling water consumption for most regions in both scenarios over the period 2020 to 2030, which is especially high in France for the minimum scenario. The values given by the two scenarios vary greatly due to the wide range in water consumption between the different cooling technologies assumed in the two cases. In some regions there is even up to a factor 10 difference in total consumption for cooling. As for any modelling exercise, the study presents a level of uncertainty due to the number of external models giving input and to the assumptions made. In the case of the cooling water mapping, a possible range of minimum/maximum values has been used to reflect the large variation due to the type of cooling system used by each power plant. For the energy crop water requirements we relied on estimates found in the literature. Nevertheless, the study presents an overall continental scale analysis of the potential impacts of the 2013 Energy Reference scenario, covering many of the involved sectors and provides the framework for further refinements and improvements.JRC.B.3-Territorial Developmen

Configuration of a reference scenario for the land use modelling platform

The definition of the Reference Scenario, given in the Energy Trends to 2030 publication by DG ENER (2009 update ), assumes full implementation of the Climate and Energy package. The legislation included within the Climate and Energy Package is reflective of the legally binding targets to ensure that the EU meets its climate and energy targets for 2020. This scenario assumes that national targets under the Renewables directive (2009/28/EC) and the GHG Effort-sharing decision (2009/406/EC) are achieved. The Reference scenario is one of three energy trends scenarios, used so far for the Energy 2050 Roadmap Impact assessment . The scenarios are derived with the PRIMES model by a consortium led by the National Technical University of Athens (E3MLab). The PRIMES model is key to the definition of the scenarios because of its energy focus. The Reference Scenario itself is derived within PRIMES and is supported by other specialised models downstream. The purpose of this document is to describe how the LUMP was configured in order to be consistent with the PRIMES and other upstream models within the integrated modelling chain, including the incorporation of the legally binding objectives, directives and guidelines. In order to be coherent with the IA accompanying the Communication on the Energy Roadmap 2050, new policies adopted up until March 2010 were implemented in so far as possible. The implementation has not yet been finalized and this document will be refreshed and re-distributed in its final form once the Reference Scenario has been fully configured.JRC.H.8-Sustainability Assessmen

Land allocation and suitability analysis for the production of food, feed and energy crops in the period 2010 - 2050 EU Reference Scenario 2013 LUISA platform – Updated Configuration 2014

Since land is a finite resource, the competition for land among different uses has become a real problem. Competition for land takes place when different alternative uses (such as agriculture, forestry, energy or/and natural conservation) are competing for the same piece of land. When the competition for land is highly intense in a given territory, a specific land use/cover might cause the displacement of another one, leading to land-use conversion and, potential negative environmental, economic and social impacts. In the long term, this exacerbated competition might increase the pressure on the land and the impacts on the land capacity to support ecosystems and productive systems. Methodologies and tools to assess the potential impacts of bioenergy development in the EU on land uses and functions provide useful insight to shed light on the environmental impacts of energy policies. The territorial assessment carried out by the Land Use-based Sustainability Assessment (LUISA) modelling platform highlights where in Europe the current macro-economic trends and energy policy targets might pose a threat to our land resources in the mid to long term. This might happen, for instance, in regions where the demand for energy crops and the need for residential and industry/commerce/services functions, is forecasted to increase. Essential land uses, such as agriculture for food and feed production, could therefore be transferred to less suitable lands at a regional or local scale. The herein report explores in detail the land uses that are expected to be in direct competition for land (food, feed and energy) as a result of the EU bioenergy targets and considering the suitability characteristics of the land for these uses. The analysis is carried out per main crop group (cereals, maize, root crops, other arable crops and energy crops), as simulated by the LUISA modelling platform. The results presented highlight where and how the displacement of food and feed crops from highly suitable land to lower levels of suitability can be caused by different drivers, among which the expansion of built-up areas and dedicated energy crops. In summary, the majority of cereal, maize and root crops in Europe are allocated on land classified as highly suitable (according to local biophysical conditions, possible fertiliser input and current cropping patterns) between 2020 and 2050. However, the amount of land cultivated with food crops (cereal, maize and root crop production) is shown to experience a substantial decrease in the majority of the MSs, on average higher than 10% across the entire simulation period. On the opposite, energy crop production increases at fast pace, at times doubling the amount of allocated land from the year 2020, when they first appears in the modelling, to 2050. Due to the growth of residential and ICS (industry, commercial and services) sites, land highly suitable for the cultivation of food crops and non-food crops is increasingly being used for artificial uses. In general terms, growing crops on highly suitable land results in a cost reduction associated to inputs use, such as fertilizers, pesticides and water. However, as result of the competition, there is – in several areas in Europa - an increasing shift towards low quality land for growing food and feed crops, with environmental and economic impacts to be carefully evaluated.JRC.H.8-Sustainability Assessmen

Accessibility and territorial cohesion in a case of transport infrastructure improvements with changing population distributions

In the last decade or so many studies have looked into the impacts of infrastructure improvements on decreasing territorial disparities. In those studies population levels are usually assumed static, although future population levels likely change in response to changing accessibility levels as well as to other factors. This study uses future population distributions simulated by the LUMP land-use model to assess the impacts of large transport network investments on regional accessibility disparities. The results indicate that contrasting local urbanization patterns only modestly affect average national accessibility levels, but that those patterns have a considerable effect on regional inequality indicators. This underpins the importance of incorporating future population levels when assessing cohesion impacts of infrastructure investments.JRC.H.8-Sustainability Assessmen

Direct and Indirect Land Use Impacts of the EU Cohesion Policy. Assessment with the Land Use Modelling Platform

The Cohesion policy for the programming period 2014-2020 is analyzed in terms of its likely land use and environmental impacts using the Land Use Modelling Platform (LUMP). This report describes in detail the process and the methodology by which the ex-ante impact assessment was made, and presents the results for Austria, Czech Republic, Germany, and Poland. The modelling approach can provide insights on the trade-offs between economic growth, investment policies (such as the Cohesion policy), and land use and the environment. In addition, ways to mitigate potentially negative land use and environmental impacts were explored. The future development of the LUMP is discussed in view of planned future work.JRC.H.8-Sustainability Assessmen

An assessment of dedicated energy crops in Europe under the EU Energy Reference Scenario 2013. Application of the LUISA modelling platform - Updated Configuration 2014

This report presents a comprehensive analysis of dedicated energy crops (ENCR) performed with the LUISA (Land Use-based Integrated Sustainability Assessment) modelling platform across Europe between 2020 and 2050. LUISA is configured in compliance with the “EU Energy, Transport and GHG emissions trends until 2050” document in order to ensure that the EU meet its climate and energy targets up to 2050 (EU Reference Scenario 2013, updated LUISA configuration 2014). The spatial modelling of ENCR in LUISA requires determining a set of elements such as the land demand, availability and suitability of the land, and other land categories for the ENCR cultivation. Thus, the assessment is focused on the following steps: 1) Land accounts and dominant land use/cover flows for the expansion of energy crops at European scale, 2) A suitability analysis of the land dedicated to these crops based on suitability maps, 3) Recuperation of degraded and contaminated lands for energy purpose, 4) A detailed regional analysis per each Member State (factsheets) with a summary of the main important findings, and 5) Evaluation of energy crops’ impacts on a selection of environmental indicators (provision of ecosystem services). In LUISA, the displacement and cultivation of crops solely dedicated to energy production takes place on a specific land-use class named ‘energy crop’ (ENCR), which competes in particular with the demand for others land-uses, such as for food, feed and forest. The amount of ENCR reaches about 13,549 kha in 2050 that represents, on average, 3.6% of Europe’s total available land. This expansion occurs mainly at expenses of land for food and feed (90%). Forest and natural land (9% and 1%,) represent respectively the second and third land flows towards ENCR among total land-use changes (with these flows represented respectively 9 and 1% of all land use changes). As result of this land competition, there is an increasing shift of food and feed crops towards low quality land, due not only to the ENCR expansion but also to the growth of residential and economic-driven land uses. It should also be noted that intensive agriculture practices for ENCR production might have some negative impacts on soil, water, biodiversity, amongst others. Owing to this potential impacts, the analysis performed on the supply of a set of ecosystem services identifies some services more sensitive than others to ENCR growth. In particular, pollination potential, habitat quality for birds and also the Green-Infrastructure network are expected to decrease due to ENCR growth, while patterns for recreational opportunities and water retention services are less evident.JRC.H.8-Sustainability Assessmen

European landscape changes between 2010 and 2050 under the EU Reference Scenario: EU Reference Scenario 2013 LUISA platform – Updated Configuration 2014

The ‘Land-Use-based Integrated Sustainability Assessment’ modelling platform (LUISA) is primarily used for the ex-ante evaluation of EC policies that have a direct or indirect territorial impact. It is based on the concept of ‘land function’ for cross-sector integration and for the representation of complex system dynamics. Beyond a traditional land use model, LUISA adopts a new approach towards activity-based modelling based upon the endogenous dynamic allocation of population, services and activities. LUISA has been applied to address the competition for land arising from the energy, transport and climate dimensions of EU policies and configured according to the EU Energy Reference scenario 2013 (updated configuration 2014) to produce high-resolution land use/cover projections up to 2050 and a related series of thematic indicators. This report describes the stocks and the main land cover/use flows (LCF) taking place in Europe in the period 2010-2050 and the processes that cause those flows, thus providing insight on how the European landscape might change if the future happens according to a reference scenario consistent with settings (economic and demographic in particular) and policies in place in 2013 (hence including in particular the 2020 renewable energy targets). Main findings: • The extent of the land for housing and leisure (urban) and industrial/commercial and services (ICS) increases, while the area of agriculture, forest and natural land decreases; • Urban and industrial land are expected to represent the highest share of net formation as % of the initial year (2010); • Energy crops appear in the model as of 2020 and are expected to reach 135,479 km2 across Europe in 2050; • Energy crops become the second most important land transformation in Europe (17%); approximately 90 % of the land consumed for energy purposes comes from land for food and feed, followed by forest and natural land; • While a large proportion of land dedicated to food and feed crops is expected to be converted into dedicated energy crops, the net land losses are very small as a results of the conversion from forest land into food and feed production; • New forest and natural land compensate in some way for quantity of losses or consumption by other uses; however the high value of the turnover indicator, reveal that those land-uses are unstable and vulnerable to the fast changes driven by economic development and climate changes, thus compromising the biodiversity and habitat conservation status; • The conversion between farming types represent 35% over the total land changes between 2010 and 2050; The results show the loss of natural and agricultural land because of ever-ongoing urbanisation and industrialization processes. The loss of natural and agricultural land for food production is even larger because of the advent of energy crops production incited by shifts in the European Energy supply system.JRC.H.8-Sustainability Assessmen

Territorial Facts and Trends in the EU Rural Areas within 2015-2030

The current analysis aims to highlight selected key territorial facts and trends in the EU rural areas at pan-European, national (NUTS 0) and regional (NUTS 3) level within 2015-2030. These trends are related to the status and potential evolution of rural population, agricultural land and agricultural land abandonment, as well as to their macro-economic aggregation into agriculture-driven clusters. A snapshot of employment and gross value added in agriculture by 2015 is provided, too. The analysis is performed by applying the LUISA Territorial Modelling Platform of the European Commissions' Joint Research Centre and in particular - its latest Territorial Reference Scenario 2017.JRC.B.3-Territorial Developmen

European Territorial Trends - Facts and Prospects for Cities and Regions Ed. 2017

This report analyses a set of territorial trends at continental and sub-national scale, looking at patterns and determinants of regional growth, while considering pan-European and national characteristics. Past and prospective demographic and economic trends are analysed to provide a picture of ‘what, where, when and how’ things happen in European cities and regions. Specific emphasis is placed on urban areas since acknowledged sources of both opportunities and challenges. The indicators used in the analysis herein presented are freely and openly accessible in the Territorial Dashboard of the Knowledge Centre for Territorial Policies at: http://urban.jrc.ec.europa.eu/t-board/index.htmlJRC.B.3-Territorial Developmen