Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Developing tools to identify marginal lands and assess their potential for bioenergy production Spyridon Galatsidas a , Nikolaos Gounaris a , Elias Dimitriadis a , Nils Rettenmaier b , Tobias Schmidt b , Despoina Vlachaki a a Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Greece b IFEU – Institute for Energy and Environmental Research, Germany Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Developing tools to identify marginal lands and assess their potential for bioenergy production Decision supporting tools: • ArcGIS toolset . • Web application Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Marginal land & • Neither specific nor firm definition; depends bioenergy Definition on management goals • Dynamic characteristics that may require reassessment (land marginality as a transitional state) Identification • Interrelated land functions and multiple benefits/ services provided have to be considered • Economic viability of the investment Exploitation • Policies & regulations that either promote or constrain the use of specific MagL for biomass Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Definition of MagL within the SEEMLA context A s s e s s in g s o il q u a lity a n d p o te n � a l y ie ld → T h e Mü n c h e b e rg S Q R Land with poor site conditions due to low soil fertility and clear B a s ic s o il in d ic a to rs S o il h a z a rd in d ic a to rs 1. S ubstrate/ tex ture (3) 1. C ontam ination economic inefficiencies with regard to agricultural usability. 2. A horizon depth (1) 2. S alinization 3. S odif i cation 3. Topsoil structure (1) 4. Acidif i cation 4. S ubsoil com paction (1) Excluding: 5. Low nutritional status 5. Rooting depth (3) 6. S oil depth above hard rock • 6. Prof i le av ailable water (3) sites with potentially high productivity set aside or 7. D roug ht 7. Wetness and ponding (3) 8. Flooding and ex trem e water log g ing 8. S lope and relief (2) temporarily abandoned due to certain socio-economic 9. S teep slope 10. Rock at the surface reasons 11. Hig h percent. of coarse soil tex ture farg . • 12. Unsuitable soil therm al reg im e badlands with naturally extreme low soil fertility as well as 13. Miscellaneeous haz ards most parts of brownfields or anthropogenic wastelands B a s ic s o il s c o re P o te n tia l h a z a r d Lowest m ultiplier is selected Σ (individual basic Indicators) x (Wf) 0,1 – 3 0 ‐34 Points Sites with calculated SQR scores below 40 indicate S o il s c o re → S Q R In d e x MagLs within the SEEMLA context. S QR = B asisc soil score x Potential hazard 0 ‐ 100 Points Muencheberg Soil Quality Rating system (SQR), developed by Mueller et al. (2007), and Very poor Poor Moderate Good Very g ood applied by BTU-CS in pilot fields survey < 20 20 – 40 40 – 60 60 – 80 > 80 S ourc e: Müller et al. 2007, adapted Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Identification of MagL within the SEEMLA context The SEEMLA Tools Algorithm 1. Localization of marginal lands using the SQR index 2. Exclusion of MagLs unsuitable for biomass production for bioenergy 3. Selection of suitable bioenergy crops 4. Rating of marginal lands Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Identification of MagL within the SEEMLA context 1. Localization of marginal lands using the SQR index i. Mueller, L., Schindler, U., Behrendt, A., Eulenstein, F., & Dannowski, R. (2007). The Muencheberg Soil Quality Rating (SQR): FIELD MANUAL FOR DETECTING AND ASSESSING PROPERTIES AND LIMITATIONS OF SOILS FOR CROPPING AND GRAZING (Vol. 2014). ii. Spatial datasets with European or global coverage (European Soil Data Centre, WorldClim, Copernicus and European Environment Agency) iii. Expert opinion from soil scientists in order to adapt the classification of the available data to the requirements of the SQR Very poor Poor Moderate Good Very good <20 20 ‐ 40 40 ‐ 60 60 ‐ 80 > 80 Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Identification of MagL within the SEEMLA context 2. Exclusion of MagLs unsuitable for biomass production for bioenergy Lands with regulatory and legal restrictions and constraints posed by national or EU policies (i.e. protected areas), according to the outputs of D2.4 and WP3. ArcGIS tool user interface Constraints with regard to sustainable cultivation of biomass crops: • Current land use (i.e. urban fabric, water surfaces, infrastructure etc.) • Protected areas (Natura sites & Nationally designated areas) • High levels of soil organic carbon (peatlands as protected areas) ArcGIS tool structure (model builder) Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Identification of MagL within the SEEMLA context Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe ArcGIS tool user interface Identification of MagL within the SEEMLA context 3. Selection of suitable bioenergy crops Suitability of bioenergy crops for MagL available for biomass production based on the ecological demands of selected plant species: ArcGIS tool output 1. Basket willow ( Salix viminalis L.) 2. Black locust ( Robinia pseudoacacia L.) 3. Black pine ( Pinus nigra ) 4. Miscanthus ( Miscanthus × giganteus ) 5. Poplar ( Populus sp. L.) 6. Switchgrass ( Panicum virgatum L. ) 4. Rating of marginal land ArcGIS tool structure Input from other WP is expected. (model builder) Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Web-based application for the identification of MagL Logical pathway to help possible stakeholders assess the suitability of a MagL for bioenergy production Calculation of SQR score functionality based on which: • Land marginality is identified for a specific parcel • Suitable bioenergy crops are selected Beta version available at: www.seemla.eu Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
Sustainable exploitation of biomass for bioenergy from marginal lands (MagL) in Europe Web-based application for the identification of MagL Logical pathway to help possible stakeholders assess the suitability of a MagL for bioenergy production Calculation of SQR score functionality based on which: • Land marginality is identified for a specific parcel • Suitable bioenergy crops are selected Beta version available at: www.seemla.eu Project coordinator Partners This project has received funding from the European Union‘s Horizon 2020 research and innovation programme under grant agreement No 691874
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