The increasing competition for forest resources will necessitate new forestrelated policies across different sectors These policies demand relevant harmonised comprehensive reliable and uptodate information As a response to this challenge the DIABOLO project brings together 33 partners fro ID: 615409
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DIABOLO has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 633464. Project duration: 1.3.2015–28.2.2019. Coordinator: Natural Resources Institute Finland (Luke)Slide2
The increasing competition for forest resources will necessitate new forest-related policies across different sectors. These policies demand relevant, harmonised, comprehensive, reliable and up-to-date information. As a response to this challenge, the DIABOLO project brings together 33 partners from scientific institutions in 25 European countries, including experts in the fields of policy analysis, forest inventory and forest modelling, who have live linkages to European and national policy institutions and stakeholder networks.
DIABOLO tackles Europe’s social, ecological and economic challenges
Countries involved in DIABOLO (in green). Shaded countries contribute also as WP leaders.Slide3
DIABOLO has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 633464. Project duration: 1.3.2015–28.2.2019.
Coordinator: Natural Resources Institute Finland (Luke).
DIABOLO PartnersSlide4
DIABOLO tackles Europe’s social, ecological and economic challenges
Increasing competition for forest resources
Requires new forest-related policies across different sectorsThese policies demand relevant, harmonised, comprehensive, reliable and up-to-date informationDIABOLO aims to:Strengthen the methodological framework for more accurate, harmonised and timely information from forest inventories and monitoring systems, to feed into EU information systems (SEIS, EFDAC)Support the development of EU policies and international processes relying on consistent forest informationMake innovative use of field collected data and EC space-based applications of Earth observation and satellite positioning systems.Slide5
The specific objectives of DIABOLO are to:
Identify demands for and gaps in the provision of forest information (WP1)
Develop new models for Europe-wide harmonised forest information (WP2)Improve the availability and quality of forest information and explore the combined use of NFI and Earth observation data to improve methods for delivering indicators on forest spatial patterns and their changes (WP3)Improve forest disturbance monitoring systems using new European satellite data, providing near real-time information on forest disturbance (WP4)Deepen insight into the sustainability of biomass supply and trade-offs with other ecosystem products and services, using the EFDM and GLOBIOM models (WP5)Increase the impact of the project outcomes by disseminating results through WP-specific end user panels and an international advisory group (WP6)Slide6
Expected impacts based on the harmonised information of DIABOLO:
Improved coherence of support for forestry-related policies
Harmonised and improved European estimation of biomass suppliesImproved knowledge communication and information exchange between political decision makers and forest data providersImproved UN-ECE statistics that use NFI dataStrengthened capacity for assessing risks and monitoring forest disturbances using new Earth Observation dataImproved understanding of trade-offs between biomass supply and other ecosystem products and servicesKnowledge transfer among NFIs, emerging NFIs avail Better knowledge of Europe’s forest resources, their availability and their sustainable future supplySlide7
WP1 Policy analysis of demands for and provision of forest data
Objectives
Mapping the demands for forest data of political decision-makers and other relevant stakeholders (e.g. key forest managers) at the different political levels (EU, national, sub-national)Mapping the provision of policy-relevant forest data different political levelsIdentifying and bridging gaps between policy demands and supply of forest related informationImproving knowledge communication and information exchange between political decision-makers, key forest management and data providers of the forest sectorDeliverables List of policies relevant for sustainable multi-purpose forestry at EU level List of data demanded by policy makers and stakeholders at EU and national levelSynthesis report on forest data demand and provision, incl data flows at the science-policy interface and barriersReport on strategies for improving knowledge communication and information exchange at the science-policy interfaceTwo peered reviewed publications PartnersUniversity of Freiburg, Swedish University of Agricultural Sciences (SLU), Bundesforschungs-und Ausbildungszentrum für Wald, Naturgefahren
und
Landschaft
(BFW) Slide8
WP2
Harmonizing growing stock, biomass and carbon estimation and forest state monitoring based on field and high-resolution remote sensing data ObjectivesDevelop new methods and models to produce harmonised data and information on wood resources at the individual tree and sample plot levelsElaborate general, flexible and powerful estimation procedures that combine NFI field data and auxiliary information from remote sensing and mapsDeliverables Reports on harmonisation concept and methodology to bridge the gap between each national definition and the reference definition of COST Action E43established bridging functions for volume estimation and harmonised stem volume estimatesalgorithms for automatic tree detection, stem form in 3D and cloud density for small branches from terrestrial lidargeneral and flexible estimation procedure associating NFI field data with auxiliary data from various remote sensing sources and mapsplot data extraction algorithms from VHR images comparing various approaches on diverse forest types and structuresSets of total volume and biomass equations for the main tree species in Europe Application of total volume and biomass equations by the partners and report on the model evaluation and identification of potential causes of differencesPartners
26 Organisations in Europe from
23 countries, including 20 organisations responsible for country NFIsSlide9
WP3
Improving data collection and analyses for multipurpose inventory of forest resources
ObjectivesTo analyze NFIs as multipurpose data source To improve the forest information To explore the combined used of NFI and Earth observation data to improve current methods and input information for delivering biodiversity and conservation indicatorsDeliverables Methodology for biodiversity assessment and forest conservation status in Europe. Prospects and recommendations for European wide assessments. Estimation of non wood forest products indicators based on NFIs harmonized informationReport on the development and harmonization of social indicatorsProtective functions indicators and good practices guidelinesReport on the methods developed and results for characterizing canopy fuel loadsPartnersNational I. Agricultural and Food Research and Technology, (CIFOR-INIA); E.T.S.I. Montes. Universidad Politécnica de Madrid (UPM); University of Copenhagen (UCPH-IGN); Centro de Ecologia Aplicada (CEABN/ISA) Slide10
WP4
Monitoring disturbances in European forests based on space data
ObjectivesDesign & develop a methodology and demonstrate a European Forest Disturbance Monitoring System (EFDMS) based essentially on Sentinel 2 (supplementary Landsat 8, other optical & SAR) data that addresses two information needs:A -European scale harmonised data on forest disturbancesUser focus: national and EU level policy stakeholdersTypes of disturbances: fire, storm, drought, biotic damages, significant harvesting operationsUpdate frequency: annually• Satellite remote sensing based mapping of majors disturbance type• Satellite remote sensing based recovery monitoring of disturbed areasB -Near real time forest disturbance monitoring serviceUser focus: local and regional users that need information for disturbance managementDisturbances: as above• Satellite remote sensing based preliminary mapping of major disturbance typesDeliverables Status analysisMethodsImplemented workflowsTest cases and demonstrationsUniversity of Freiburg, Joanneum Research, University of Belgrade, Ukrainian National Forestry University, Norwegian Institute of Bioeconomy Research, University of
Patras
, IGN
Espace
PartnersSlide11
WP5
Model-based biomass supply
analyses for bioeconomyObjectivesTo improve policy and decision support related to the bioeconomy:to improve 1) the coherence of policy support for energy, industrial, environmental and other forest-related policies at EU and national level as well as 2) decision support for the bioeconomy industry at regional and local level by harmonizing the definition of sustainable biomass supply across European countries, across sectors, along value-chains and over time;to deepen insight of long-term sustainability of biomass supply by developing harmonized methodology for model-based biomass supply analyses, taking into account dynamics of forests and variation of forest-based value-chains across Europe;to increase the understanding of trade-offs between biomass supply and other ecosystem products and services by developing harmonized methodology to incorporate land-use constraints into model-based biomass supply analyses;to support forest-related policy processes and decisions related to bioeconomy industry in practice by productizing value-added information services based on the model-based biomass supply analyses.Deliverables PartnersGuidelines for harmonization of biomass supply analysisReport on global equilibrium between biomass supply and demand under sustainability constraints
Report on biomass
supply dynamics
modelling
methodology
A pilot for sustainable
biomass supply web-service
Luke,
SLU, IIASA + 20 DIABOLO consortium partners Slide12
Contact
Website:
www.diabolo-project.eu WP1 Policy analysis - Daniela Kleinschmit, ALU-FR, daniela.kleinschmit@ifp.uni-freiburg.de, Sara Holmgren, SLU, sara.holmgren@slu.se WP2 Harmonisation - Laurent Saint-André, CIRAD, standre@cirad.fr, Jean-Christophe Herve, IGN, Jean-Christophe.Herve@ign.frWP3 Improving data collection and analyses - Iciar Alberdi, INIA, alberdi.iciar@inia.esWP4 Monitoring disturbances - Matthias Dees, ALU-FR matthias.dees@felis.uni-freiburg.deWP5 Model-based biomass supply - Tuula Packalen, Luke, tuula.packalen@luke.fiWP6 Dissemination - Charles Harper, UCD, charles.harper@ucd.ie WP7 Management - Tuula Packalen (coordinator), Luke, tuula.packalen@luke.fi; Markus Lier (project manager), Luke markus.lier@luke.fi