CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.
Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .
Livrables
This report will be developed in Task 3.1 and will consist of a review of existing national and sub-national frameworks and publications for funding measures with the objective to compile and describe a list of existing databases at EU, Norwegian and Swiss level and to identify and describe the policy measures and positions (TI supported by all partners listed above). The report will contain the outcomes of a questionnaire to the consortium partners to collect their data needs for ex-post and ex-ante assessments of LUM drivers and policies in WP4 & WP8. In addition, the report will provide and develop the technical concept of how the data, metadata and interfaces will operate and identify the measures and cases, where estimation approaches are needed to harmonise and/or downscale policy information in T3.2-T3.3.
Project management plan incl. l. risk register and quality assurance procedures (s’ouvre dans une nouvelle fenêtre)This project management and quality assurance plan will be developed in T10.1. It will describe the plan for project management and collaboration and coordination tools of the project, including the risk register and quality assurance procedures.
Dissemination and Communication Strategy Plan (s’ouvre dans une nouvelle fenêtre)This report (linked to T9.1) is the Dissemination and Communication Strategy Plan (DCSP) including all communication and dissemination activities over the duration of the project, adapted to the different stakeholder groups and objectives of the communication and dissemination measures.
Literature review of existing policy documents (s’ouvre dans une nouvelle fenêtre)A literature review of existing LUM related policy dociments and a narrative mappong of land-use related policy impacts to specific outcomes.
High resolution LUM geodatabase requirements and technical specifications (s’ouvre dans une nouvelle fenêtre)This report will contain an inventory of input data sets for the LUM geodatabase from the latest products from remote sensing, statistical data, data available form individual EU countries and relevant projects including GHG inventories. Additionally, the results of WS1 will be included, where the technical specifications of the LUM geodatabase will be defined.
LAMASUS communication toolkit (s’ouvre dans une nouvelle fenêtre)In T9.1 the first version of the LAMASUS project communications toolkit will be released and made available to all partners in M6.
Report on land-management stakeholder workshops (WS1, WS2, WS3) (s’ouvre dans une nouvelle fenêtre)In Task 1.1. the narrative mapping of land-use related policy impacts to specific outcomes will be developed and key stakeholders across scales (EU institutions, national and local administrations, policy makers and representatives of non-government organizations, landowners) identified who will constitute the Stakeholder Board for consultation in WS 1-4. This deliverable contains minutes and summaries of the WS1 and WS2 in Task 1.1 which focus on LUM & policy databases conceptualization and review. A draft version of the LUM and policy databases will be presented at WS2 (M18) for review by stakeholders.The deliverable also covers the minutes and reports on WS3 (M30) – ex-post assessment & policy scenario development. Additonally, EU and national plans to reach the land use sector specific targets in 2030 will be reviewed prior to the workshop, building on the first scoping of policies performed under T1.1. The objective is to develop, starting from an improved understanding of existing policies and their impacts, scenarios for medium- and long-term policy assessment (T8.2, T8.3), together with ex-ante modellers (EC, IIASA, PBL, WUR, VUA), environmental modellers (PBL, UPS, IIASA) and policy makers. These will also be contained in the deliverable report.
Data Management Plan (s’ouvre dans une nouvelle fenêtre)This report (linked to T10.4) constitutes the project's Data Management Plan (DMP), which willimplement the policy for publication of data. The adherence to FAIR principles within the project will be validated by the application of comprehensive self-assessments. The project will use the results of the FAIR assessment to formulate specific suggestions, which aim to improve the data management practice by project partners. The DMP will include plans on how the project's data would be technically managed, including the visualisation and mapping of data.
Progress report M6 (s’ouvre dans une nouvelle fenêtre)A short organisational progress reports describing the main achievements of each WP/tasks, the challenges, the participation/organisation of event(3-4 pages) and a summary of the Scientific and Policy Advisory Board meetings.
Policy brief on environmental impacts of LUM changes (s’ouvre dans une nouvelle fenêtre)This policy brief will summarize the efforts of Task 5.1 and Task 5.2 and describe methods to quantify climate and biodiversity impacts of LUM changes.
Progress report M12 (s’ouvre dans une nouvelle fenêtre)A short organisational progress reports describing the main achievements of each WP/tasks, the challenges, the participation/organisation of event(3-4 pages) and a summary of the Scientific and Policy Advisory Board meetings.
Regional case studies to verify high-resolution model using ex-ante behavioural models (s’ouvre dans une nouvelle fenêtre)This deliverable linked to T6.3 will contain a report and codes on behavioural models at the level of land use decision makers, which will be developed to analyse microeconomic implications of policies consistent with the macro-level dynamics simulated with the large-scale economic models.
Guidance on econometric model-based assessment of land use dynamics (s’ouvre dans une nouvelle fenêtre)This report will summarize the efforts of T6.4 to improve the ex-ante land use modelling based on the findings of ex-post modelling of policy impacts on land use in WP4. Policy impacts of various policies, including the uptake rates and the effect size on land use and land management, are in current modelling approaches fully based on either economic rationale and optimisation (economic models) or assumed heuristics. The ex-post analysis of WP4 is expected to provide empirical evidence and confidence intervals that can directly inform the ex-ante modelling system. Model rules will be re-defined and/or calibrated based on WP4 evidence and uncertainties. Simulations of past policy events on land use will be used as a validation of the models using independent high-resolution data (of several countries, where available).
This deliverable based on the work in T5.1 will be a database, containing response functions that predict the impact of LUM changes on terrestrial C and GHG budgets, and on the regional energy balance through changes in albedo and evapotranspiration. The database will also contain the validated simulation applied to the high-resolution database created in WP2 to create maps of the potential impact of the different LUM changes at EU scale.
Open software interface for high-resolution spatial modelling to macro-level models (s’ouvre dans une nouvelle fenêtre)This deliverable (linked to T6.1) will be a report on a flexible approach (including a description of parameters) for translating outcomes from economic land use models with a spatial resolution of countries/NUTS2 regions to land use models that operate at high spatial resolution or farm level (all partners mentioned above). Additionally an open source software interface will be developed in T6.2. The model will integrate the land use modelling results with the environmental impacts from WP5, to produce high-resolution carbon, biodiversity, and albedo maps.
The LUM geodatabase and area estimates of LUM change to 2020 (s’ouvre dans une nouvelle fenêtre)Within Task 2.2 the thematically and spatially harmonised LUM geodatabase for the period 1990-2020 at a resolution of 100m will be developed, specifically including also measures of uncertainty. A draft version of this deliverable will be available in M18, to be presented in WS2. The database will be validated within Task 2.3, which then consitutes the finished version of this deliverable (M24).
Coefficients of estimated biodiversity responses to land use and maps of conservation priorities (s’ouvre dans une nouvelle fenêtre)This deliverable linked to T5.2 will be response functions of LUM impact on species communities in non-spatial tabular and spatial form at both the grid cell and NUTS 2 level. Building on existing maps of conservation priorities (BIOCLIMA project), the database will identify the areas where management for conservation would bring the greatest benefits that will also contribute to a policy brief on environmental impacts of LUM changes.
Database of economic costs of LUM transitions (s’ouvre dans une nouvelle fenêtre)This deliverable linked to T5.3. will be a documented database of economic costs related to different management systems. This will be defined to complement the environmental effects (as defined in Tasks 5.1 and 5.2) and will be taken up by the large-scale ex-ante models in WP7.
This deliverable contains the open source code and documentation of the following econometric models: - In T4.1 INRAE, WIFO, and IIASA will jointly develop a regional LUM change model at the EU scale, which will be used to supply price and policy elasticities to the CAPRI and GLOBIOM models and for the EU wide ex-post assessment of LUM policies. - In T4.2 the structural change model will be used in ex-ante CAPRI modelling in WP7 and the ex-post LUM policy assessment in the selected case study regions.- In T4.3 A harmonised EU-wide model interfacing with CLUE/CLUMondo (and other CLUE-based frameworks such as LUISA or LUISA-BEES) will be jointly developed by IIASA and INRAE, with the help of VUA, UV and UW. This model will be based on prototypes developed by UV, UW, and INRAE (focus on LUM change in France) and to inform the spatially ex-post assessment of LUM policies at local scale for the selected case studies.The employed models will explicitly go beyond the state-of-the-art by being conistently linked in a statistical framework, accounting for uncertainties with the dependent variable, including novel forms of spatial dependence and modelling of LUM changes.
Publications
Auteurs:
Lien Imbrechts; João C. Azevedo; Peter Verburg
Publié dans:
Regional Environmental Change, 2024, ISSN 1436-378X
Éditeur:
Springer
DOI:
10.1007/S10113-024-02325-1
Auteurs:
Ronny Lauerwald, George H. Allen, Bridget R. Deemer, Shaoda Liu, Taylor Maavara, Peter Raymond, Lewis Alcott, David Bastviken, Adam Hastie, Meredith A. Holgerson, Matthew S. Johnson, Bernhard Lehner, Peirong Lin, Alessandra Marzadri, Lishan Ran, Hanqin Ti
Publié dans:
Global Biogeochemical Cycles, 2023, ISSN 0886-6236
Éditeur:
American Geophysical Union
DOI:
10.1029/2022GB007657
Auteurs:
Linda See; Myroslava Lesiv; Dmitry Schepaschenko
Publié dans:
Land, 2024, ISSN 2073-445X
Éditeur:
MDPI
DOI:
10.3390/LAND13060769
Auteurs:
Josef Baumert, Thomas Heckelei, Hugo Storm
Publié dans:
Ecological Informatics, Numéro 83, 2024, ISSN 1574-9541
Éditeur:
Elsevier BV
DOI:
10.1016/J.ECOINF.2024.102836
Auteurs:
Mario Figueira; Carmen Guarner; David Conesa; Antonio López-Quílez; Tamás Krisztin
Publié dans:
Journal of Agricultural, Biological and Environmental Statistics, 2025, ISSN 1537-2693
Éditeur:
Springer
DOI:
10.48550/ARXIV.2407.21695
Auteurs:
Pohanková, E.; Hlavinka, P.; Kersebaum, K. C.; Nendel, C.; Rodríguez, A.; Balek, J.; Balkovič, J.; Dubrovský, M.; Hoogenboom, G.; Moriondo, M.; Olesen, J. E.; Pullens, J. W. M.; Rötter, R. P.; Ruiz-Ramos, M.; Shelia, V.; Skalský, R.; Hoffmann, M. P.; Takáč, J.; Thaler, S.; Eitzinger, J.; Dibari, C.; Ferrise, R.; Leolini, L.; Bohuslav, J.; Bláhová, M.; Fischer, M.; Trnka, M.
Publié dans:
European Journal of Agronomy, 2024, ISSN 1873-7331
Éditeur:
Science direct
DOI:
10.1016/J.EJA.2024.127456
Auteurs:
Babak Ghassemi, Emma Izquierdo-Verdiguier, Astrid Verhegghen, Momchil Yordanov, Guido Lemoine, Álvaro Moreno Martínez, Davide De Marchi, Marijn van der Velde, Francesco Vuolo, Raphaël d’Andrimont
Publié dans:
Scientific Data, Numéro 11, 2024, ISSN 2052-4463
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1038/s41597-024-03884-y
Auteurs:
Koen J. J. Kuipers et.al.
Publié dans:
Global Change Biology, 2023, ISSN 1354-1013
Éditeur:
Blackwell Publishing Inc.
DOI:
10.1111/gcb.16932
Auteurs:
François Bareille, Raja Chakir, Derya Keles
Publié dans:
European Review of Agricultural Economics, Numéro 51, 2024, ISSN 0165-1587
Éditeur:
Oxford University Press (OUP)
DOI:
10.1093/ERAE/JBAE008
Auteurs:
Žiga Malek; Zoriana Romanchuk; Orysia Yashchun; Linda See
Publié dans:
Scientific Data, 2024, ISSN 2052-4463
Éditeur:
Nature
DOI:
10.1038/S41597-024-03983-W
Auteurs:
Žiga Malek, Zoriana Romanchuk, Orysia Yaschun, Gwyn Jones, Jan-Erik Petersen, Steffen Fritz, Linda See
Publié dans:
Environmental Research Letters, Numéro 19, 2024, ISSN 1748-9326
Éditeur:
IOP Publishing
DOI:
10.1088/1748-9326/AD858A
Auteurs:
Ronny Lauerwald et al.
Publié dans:
Global Biogeochemical Cycles, 2023, ISSN 0886-6236
Éditeur:
American Geophysical Union
DOI:
10.1029/2022GB007658
Auteurs:
Vasco Diogo, Tim G. Williams, Niels Debonne, Christian Levers, Felix Herzog, Matthias Bürgi, Peter H. Verburg
Publié dans:
Sustainability Science, 2025, ISSN 1862-4065
Éditeur:
Springer Science and Business Media LLC
DOI:
10.1007/S11625-024-01612-4
Auteurs:
Andrea Obweger; Hermine Mitter; Erwin Schmid
Publié dans:
Agriculture and Human Values, 2024, ISSN 1572-8366
Éditeur:
Springer Nature
DOI:
10.1007/S10460-024-10554-7
Auteurs:
Žiga Malek et. al.
Publié dans:
Landscape Ecology, 2024, ISSN 1572-9761
Éditeur:
Springer
DOI:
10.1007/S10980-024-01810-6
Auteurs:
Ronny Lauerwald, Ana Bastos, Matthew J. McGrath, Ana Maria Roxana Petrescu, François Ritter, Robbie M. Andrew, Antoine Berchet, Grégoire Broquet, Dominik Brunner, Frédéric Chevallier, Alessandro Cescatti, Sara Filipek, Audrey Fortems‐Cheiney, Giovanni Forzieri, Pierre Friedlingstein, Richard Fuchs, Christoph Gerbig, Sander Houweling, Piyu Ke, Bas J. W. Lerink, Wanjing Li, Wei Li, Xiaojun Li, Ingrid Luijkx, Guillaume Monteil, Saqr Munassar, Gert‐Jan Nabuurs, Prabir K. Patra, Philippe Peylin, Julia Pongratz, Pierre Regnier, Marielle Saunois, Mart‐Jan Schelhaas, Marko Scholze, Stephen Sitch, Rona L. Thompson, Hanqin Tian, Aki Tsuruta, Chris Wilson, Jean‐Pierre Wigneron, Karina Winkler, Yitong Yao, Sönke Zaehle, Philippe Ciais
Publié dans:
Global Biogeochemical Cycles, Numéro 38, 2024, ISSN 0886-6236
Éditeur:
American Geophysical Union (AGU)
DOI:
10.1029/2024GB008141
Auteurs:
Stefan Frank; Andrey Lessa Derci Augustynczik; Petr Havlík; Esther Boere; Tatiana Ermolieva; Oliver Fricko; Fulvio Di Fulvio; Mykola Gusti; Tamas Krisztin; Pekka Lauri; Amanda Palazzo; Michael Wögerer
Publié dans:
Nature Food, 2024, ISSN 2662-1355
Éditeur:
Nature
DOI:
10.1038/S43016-024-01039-1
Auteurs:
Andrea Loacker; Erwin Schmid; Hermine Mitter
Publié dans:
Agriculture and Human Values, 2025, ISSN 1572-8366
Éditeur:
Springer Nature
DOI:
10.1007/S10460-024-10689-7
Auteurs:
Thi Lan Anh Dinh; Daniel Goll; Philippe Ciais; Ronny Lauerwald
Publié dans:
Geoscientific Model Development, 2024, ISSN 1991-9603
Éditeur:
European Geosciences Union
DOI:
10.5194/gmd-2024-42
Auteurs:
Babak Ghassemi, Emma Izquierdo-Verdiguier, Raphaël d’Andrimont, Francesco Vuolo
Publié dans:
Remote Sensing, Numéro 17, 2025, ISSN 2072-4292
Éditeur:
MDPI AG
DOI:
10.3390/RS17081379
Auteurs:
Josef Baumert; Thomas Heckelei; Hugo Storm
Publié dans:
Data in Brief, 2025, ISSN 2352-3409
Éditeur:
Elsevier
DOI:
10.1016/J.DIB.2025.111472
Recherche de données OpenAIRE...
Une erreur s’est produite lors de la recherche de données OpenAIRE
Aucun résultat disponible