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description Publicationkeyboard_double_arrow_right Article , Journal 2014 ItalyPublisher:Cambridge University Press (CUP) Authors: FERRISE, ROBERTO; TROMBI, GIACOMO; Moriondo, Marco; BINDI, MARCO;doi: 10.1017/jwe.2014.30
handle: 20.500.14243/404846 , 2158/1013753
AbstractThe present paper aims to assess the impacts of climate change on grapevine cultivation in the Mediterranean basin by using three regional climatic models (RCMs), which were designed specifically for high-resolution simulation of climate in that region. RCM outputs were used to feed a grapevine growth simulation model, which was developed, tested, and calibrated for the Sangiovese variety. The study area was identified by implementing a bioclimatic classification of the regions based on the Winkler Index (ranging from 1,700 to 1,900 thermal units). The results indicated that the projected increasing temperatures will result in a general acceleration and shortening of the phenological stages compared to the present period. Accordingly, the reduction in time for biomass accumulation negatively affected the final yield. Few exceptions were found in the northern and central regions of the study area (southern France and western Balkans) for which changes in climatic conditions were not limiting and the crop benefited from the enhanced atmospheric concentration of carbon dioxide. (JEL Classifications: Q100, Q540)
Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository)Article . 2016Full-Text: https://flore.unifi.it/bitstream/2158/1013753/2/Ferrise%20et%20al_2016_J_Wine_Economics.pdfData sources: Flore (Florence Research Repository)Journal of Wine EconomicsArticle . 2014 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/jwe.2014.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu34 citations 34 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository)Article . 2016Full-Text: https://flore.unifi.it/bitstream/2158/1013753/2/Ferrise%20et%20al_2016_J_Wine_Economics.pdfData sources: Flore (Florence Research Repository)Journal of Wine EconomicsArticle . 2014 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/jwe.2014.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book 2012 France, Italy, FrancePublisher:Springer Netherlands Agnew M. D.; Goodess C. M.; Hemming D.; Giannakopoulos C.; BINDI, MARCO; DIBARI, CAMILLA; El Askary H.; El Hattab M.; El Raey M.; FERRISE, ROBERTO; Harzallah A.; Hatzaki M.; Kostopoulou E.; Lionello P.; Sahabi Abed S.; Sanchez Arcilla A.; Senouci M.; Sommer R.; Zoheir Taleb M.; Tanzarella A.;handle: 2158/862905 , 10568/51388
The active participationof the stakeholder communityis viewed as a crucial consideration in the regional assessment of climate change in the Mediterranean. Each of the CIRCE integrating case studies has benefitted from the real-life experience and expertise of local and regional stakeholders. The level of involvment has included stakeholder dialogue on an informal basis throughout the project, culminating in a series of more formal regional stakeholders workshops in the final year of the project. For each case study, stakeholders were chosen from the arena for which decisions are made at the regional-to-local level, and comprise local and regional decision and policy makers within government departments, agencies, and public/private sector entities. The CIRCE experience suggests that a more participatory approach, which involves sharing of “best” practice and accessible targeted information,will be fundamental to successful adaptation planning in the Mediterranean region. This experience ha salso been used to develop a good practice checklist for facilitating stakeholder involvement in research projects.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2014Full-Text: https://hdl.handle.net/10568/51388Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-94...Part of book or chapter of book . 2012 . Peer-reviewedLicense: Springer TDMData sources: CrossrefFlore (Florence Research Repository)Part of book or chapter of book . 2013Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2014Full-Text: https://hdl.handle.net/10568/51388Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-94...Part of book or chapter of book . 2012 . Peer-reviewedLicense: Springer TDMData sources: CrossrefFlore (Florence Research Repository)Part of book or chapter of book . 2013Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-94-007-5769-1_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 ItalyPublisher:Springer Science and Business Media LLC PIERANGIOLI, LEONE; CELLAI, GIANFRANCO; FERRISE, ROBERTO; TROMBI, GIACOMO; BINDI, MARCO;handle: 2158/1076401
This paper focuses on the effectiveness of passive adaptation measures against climate change, in the medium (2036–2065) and long term (2066–2095), for three case studies located in Florence (central Italy). In order to identify and highlight the passive measures which can provide comfort conditions with the lowest net heating and cooling energy demand, the input assumptions consider a constant thermal comfort level and don’t take into account either the effect of HVAC system’s performance and the degradation of the materials by ageing. The study results show that, in case of poorly insulated buildings, on the medium term, the reduction of energy needed for heating could be bigger than the increase for cooling, resulting in a total annual net energy need decrease, while in the long term the opposite happens. Conversely, considering a high level of thermal insulation, due to the large increase in cooling demand, the total annual energy need rises in both periods. Furthermore, attention should be paid to internal loads and solar gains that, due to the projected climate change, could become main contributors to the energy balance. In general, since the magnitude of energy need increase for cooling and decrease for heating is very significant on the long term, and varies in function of the type of building, the passive measure adopted and the level of thermal insulation, the research results lead to pay close attention to different types of energy refurbishment interventions, that should be selected in function of their effectiveness over time.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12273-016-0346-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12273-016-0346-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2011 ItalyPublisher:Resilience Alliance, Inc. DALLA MARTA, ANNA; NATALI, FRANCESCA; MANCINI, MARCO; FERRISE, ROBERTO; BINDI, MARCO; ORLANDINI, SIMONE;handle: 2158/532858
The contribution of agrobiomasses, as a source of energy, to the reduction of greenhouse gas emissions was confirmed by several studies. Biomass from agriculture represents one of the larger and more diverse sources to exploit and in particular ethanol and diesel have the potential to be a sustainable replacement for fossil fuels, mainly for transport purposes. However, the cultivation of energy crops dedicated to the production of biofuels presents some potential problems, e.g., competitiveness with food crops, water needs, use of fertilizers, etc., and the economic, energy, and environmental convenience of such activity depends on accurate evaluations about the global efficiency of the production system. In this study, the processes related to the cultivation of energy crops were analyzed from an energy and water cost perspective. The crops studied, maize (Zea mais) and sunflower (Helianthus annuus), were identified for their different water requirements and cultivation management, which in turns induces different energy costs. A 50-year climatic series of meteorological data from 19 weather stations scattered in the Tuscany region was used to feed the crop model CropSyst for the simulation of crop production, water requirement, and cultivation techniques. Obtained results were analyzed to define the real costs of energy crop cultivation, depending on energy and water balances. In the energy crop cultivation, the only positive energy balance was obtained with the more efficient system of irrigation whereas all the other cases provided negative balances. Concerning water, the results demonstrated that more than 1.000 liters of water are required for producing 1 liter of bioethanol. As a consequence, the cultivation of energy crops in the reserved areas of the region will almost double the actual water requirement of the agricultural sector in Tuscany.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5751/es-03991-160202&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5751/es-03991-160202&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, United Kingdom, France, United Kingdom, France, France, Australia, France, Spain, Finland, Germany, Italy, France, Italy, France, United Kingdom, France, United Kingdom, Denmark, NetherlandsPublisher:Wiley Funded by:AKA | Integrated modelling of N..., AKA | Integrated modelling of N..., AKA | Pathways for linking unce... +1 projectsAKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,EC| AGREENSKILLSDavide Cammarano; Mikhail A. Semenov; Heidi Horan; Yujing Gao; Frank Ewert; Jørgen E. Olesen; Joost Wolf; Curtis D. Jones; M. Ali Babar; Belay T. Kassie; Manuel Montesino San Martin; Sebastian Gayler; Andrea Maiorano; Dominique Ripoche; Bing Liu; Bing Liu; Pierre Stratonovitch; Zhigan Zhao; Zhigan Zhao; Bruno Basso; Zhao Zhang; Liujun Xiao; Pierre Martre; Claudio O. Stöckle; Garry O'Leary; Mukhtar Ahmed; Mukhtar Ahmed; Elias Fereres; Taru Palosuo; Daniel Wallach; R. Cesar Izaurralde; R. Cesar Izaurralde; Matthew P. Reynolds; Reimund P. Rötter; Ann-Kristin Koehler; Marijn van der Velde; Andrew J. Challinor; Andrew J. Challinor; Peter J. Thorburn; Mohamed Jabloun; Rosella Motzo; Sara Minoli; Benjamin Dumont; Kurt Christian Kersebaum; Claas Nendel; Glenn J. Fitzgerald; Juraj Balkovic; Juraj Balkovic; Marco Bindi; Eckart Priesack; Heidi Webber; Enli Wang; Giacomo De Sanctis; Christian Klein; Christoph Müller; Gerrit Hoogenboom; Francesco Giunta; Alex C. Ruane; Christine Girousse; Margarita Garcia-Vila; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Thilo Streck; Iwan Supit; Roberto Ferrise; Christian Biernath; Soora Naresh Kumar; Pramod K. Aggarwal; Fulu Tao; Katharina Waha; Yan Zhu; Senthold Asseng; Ahmed M. S. Kheir; John R. Porter; John R. Porter; John R. Porter;doi: 10.1111/gcb.14481
pmid: 30549200
handle: 10261/207120 , 11388/220816 , 2158/1147460 , 11343/284917 , 10568/106685
doi: 10.1111/gcb.14481
pmid: 30549200
handle: 10261/207120 , 11388/220816 , 2158/1147460 , 11343/284917 , 10568/106685
AbstractWheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2020Copenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 386 citations 386 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 48visibility views 48 download downloads 74 Powered bymore_vert CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2020Copenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 ItalyPublisher:Elsevier BV Leolini, L.; Moriondo, M.; Fila, G.; Costafreda-Aumedes, S.; Ferrise, R.; Bindi, M.;handle: 20.500.14243/404834 , 2158/1131274
Viticulture is a worldwide agricultural sector with a relevant economic importance, especially in regions where the climate and environmental conditions meet requirements for the production of high quality wines. The impact of climate change combined with the increased frequency of extreme events predicted for the next future has already shown its potential detrimental effects on viticulture suitability, but few studies currently explored the effect of long-term climate change and extreme events by considering the inter-varietal variability of grapevine. In this study, the combined effect of mean climate change and extreme events (frost events at bud break and suboptimal temperatures for fruit-set) under future scenarios (RCP 4.5 and 8.5 for two time slices 2036-2065 and 2066-2095, respectively) was evaluated considering four grapevine varieties with very early, early, middle-early and late phenological cycles. The UniChill model calibrated for these varieties was applied in Europe to assess phenological dynamics (budbreak and flowering) using the outputs of a statistical downscaling procedure. Frost impact around budbreak stage as well as the impact of suboptimal temperature around flowering was estimated under present and future scenarios. The results showed a general earlier occurrence of budbreak and flowering stages with a particular relevance on northeastern Europe. The effect of warmer temperatures had a greater effect on late compared to very early and early varieties in western regions. The frequency of frost events at budbreak (T-min < 0 degrees C) showed wide variability across Europe, with a strong decrease in western regions (e.g. Spain and UK) and an increase in central Europe (e.g. Germany) for future scenarios. The decrease in the frequency of frost events was especially evident for very early and early varieties. The impact of suboptimal temperatures at flowering evidenced a significant variability across a latitudinal gradient while this effect did not show significant results when comparing cultivars and scenarios. The results of these studies highlighted that in a warmer climate frost events rather than stress at flowering will reshape the distribution of grapevine varieties in Europe.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.fcr.2017.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu74 citations 74 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.fcr.2017.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 Netherlands, Italy, Denmark, France, Finland, Germany, United Kingdom, Spain, Netherlands, FrancePublisher:Elsevier BV Funded by:EC | IMPRESSIONS, AKA | Pathways for linking unce..., AKA | Integrated modelling of N... +3 projectsEC| IMPRESSIONS ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Pathways linking uncertainties in model projections of climate and its effects / Consortium: PLUMESJulien Minet; Kurt Christian Kersebaum; Françoise Ruget; A.J.W. de Wit; C. Nendel; Taru Palosuo; Marco Bindi; Holger Hoffmann; Zacharias Steinmetz; Piotr Baranowski; Nina Pirttioja; Pierre Stratonovitch; Iwan Supit; F. Ewert; Davide Cammarano; Mikhail A. Semenov; Roberto Ferrise; Reimund P. Rötter; Margarita Ruiz-Ramos; Manuel Montesino; Fulu Tao; František Jurečka; František Jurečka; Samuel Buis; Alfredo Rodríguez; Alfredo Rodríguez; Marcos Lana; Stefan Fronzek; John R. Porter; Jukka Höhn; Benjamin Dumont; Altaaf Mechiche-Alami; Ignacio J. Lorite; Yi Chen; Thomas Gaiser; Jaromir Krzyszczak; Timothy R. Carter; Miroslav Trnka; Miroslav Trnka; P. Hlavinka; P. Hlavinka;Climate change is expected to severely affect cropping systems and food production in many parts of the world unless local adaptation can ameliorate these impacts. Ensembles of crop simulation models can be useful tools for assessing if proposed adaptation options are capable of achieving target yields, whilst also quantifying the share of uncertainty in the simulated crop impact resulting from the crop models themselves. Although some studies have analysed the influence of ensemble size on model outcomes, the effect of ensemble composition has not yet been properly appraised. Moreover, results and derived recommendations typically rely on averaged ensemble simulation results without accounting sufficiently for the spread of model outcomes. Therefore, we developed an Ensemble Outcome Agreement (EOA) index, which analyses the effect of changes in composition and size of a multi-model ensemble (MME) to evaluate the level of agreement between MME outcomes with respect to a given hypothesis (e.g. that adaptation measures result in positive crop responses). We analysed the recommendations of a previous study performed with an ensemble of 17 crop models and testing 54 adaptation options for rainfed winter wheat (Triticum aestivum L.) at Lleida (NE Spain) under perturbed conditions of temperature, precipitation and atmospheric CO2 concentration. Our results confirmed that most adaptations recommended in the previous study have a positive effect. However, we also showed that some options did not remain recommendable in specific conditions if different ensembles were considered. Using EOA, we were able to identify the adaptation options for which there is high confidence in their effectiveness at enhancing yields, even under severe climate perturbations. These include substituting spring wheat for winter wheat combined with earlier sowing dates and standard or longer duration cultivars, or introducing supplementary irrigation, the latter increasing EOA values in all cases. There is low confidence in recovering yields to baseline levels, although this target could be attained for some adaptation options under moderate climate perturbations. Recommendations derived from such robust results may provide crucial information for stakeholders seeking to implement adaptation measures.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAgricultural and Forest MeteorologyArticle . 2019Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2019 . Peer-reviewedCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemGöttingen Research Online PublicationsArticle . 2019License: CC BYData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.1016/j.ag...Other literature typeData sources: European Union Open Data PortalNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.09.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAgricultural and Forest MeteorologyArticle . 2019Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2019 . Peer-reviewedCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemGöttingen Research Online PublicationsArticle . 2019License: CC BYData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.1016/j.ag...Other literature typeData sources: European Union Open Data PortalNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.09.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 ItalyPublisher:Elsevier BV Moriondo, Marco; FERRISE, ROBERTO; TROMBI, GIACOMO; Brilli, Lorenzo; DIBARI, CAMILLA; BINDI, MARCO;handle: 20.500.14243/270392 , 2158/1013499
The models developed for simulating olive tree and grapevine yields were reviewed by focussing on the major limitations of these models for their application in a changing climate. Empirical models, which exploit the statistical relationship between climate and yield, and process based models, where crop behaviour is defined by a range of relationships describing the main plant processes, were considered. The results highlighted that the application of empirical models to future climatic conditions (i.e. future climate scenarios) is unreliable since important statistical approaches and predictors are still lacking. While process-based models have the potential for application in climate-change impact assessments, our analysis demonstrated how the simulation of many processes affected by warmer and CO2-enriched conditions may give rise to important biases. Conversely, some crop model improvements could be applied at this stage since specific sub-models accounting for the effect of elevated temperatures and CO2 concentration were already developed.
Flore (Florence Rese... arrow_drop_down Environmental Modelling & SoftwareArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envsoft.2014.12.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu97 citations 97 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Flore (Florence Rese... arrow_drop_down Environmental Modelling & SoftwareArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envsoft.2014.12.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Finland, United Kingdom, Italy, FrancePublisher:Elsevier BV Tao, Fulu; Rotter, Reimund P.; Palosuo, Taru; Díaz-Ambrona, C.G.H.; Minguez, M. Ines; Semenov, Mikhail A.; Kersebaum, Kurt Christian; Nendel, Claas; Cammarano, Davide; Hoffmann, Holger; Ewert, Frank; Dambreville, Anaëlle; Martre, Pierre; Rodríguez, Lucía; Ruiz-Ramos, Margarita; Gaiser, Thomas; Höhn, Jukka G.; Salo, Tapio; Ferrise, Roberto; Bindi, Marco; Schulman, Alan H.;handle: 2158/1071328
Abstract Climate change and its associated higher frequency and severity of adverse weather events require genotypic adaptation. Process-based ecophysiological modelling offers a powerful means to better target and accelerate development of new crop cultivars. Barley ( Hordeum vulgare L.) is an important crop throughout the world, and a good model for study of the genetics of stress adaptation because many quantitative trait loci and candidate genes for biotic and abiotic stress tolerance have been identified in it. Here, we developed a new approach to design future crop ideotypes using an ensemble of eight barley simulation models (i.e. APSIM, CropSyst, HERMES, MCWLA, MONICA, SIMPLACE, SiriusQuality , and WOFOST), and applied it to design climate-resilient barley ideotypes for Boreal and Mediterranean climatic zones in Europe. The results showed that specific barley genotypes, represented by sets of cultivar parameters in the crop models, could be promising under future climate change conditions, resulting in increased yields and low inter-annual yield variability. In contrast, other genotypes could result in substantial yield declines. The most favorable climate-zone-specific barley ideotypes were further proposed, having combinations of several key genetic traits in terms of phenology, leaf growth, photosynthesis, drought tolerance, and grain formation. For both Boreal and Mediterranean climatic zones, barley ideotypes under future climatic conditions should have a longer reproductive growing period, lower leaf senescence rate, larger radiation use efficiency or maximum assimilation rate, and higher drought tolerance. Such characteristics can produce substantial positive impacts on yields under contrasting conditions. Moreover, barley ideotypes should have a low photoperiod and high vernalization sensitivity for the Boreal climatic zone; for the Mediterranean, in contrast, it should have a low photoperiod and low vernalization sensitivity. The drought-tolerance trait is more beneficial for the Mediterranean than for the Boreal climatic zone. Our study demonstrates a sound approach to design future barley ideotypes based on an ensemble of well-tested, diverse crop models and on integration of knowledge from multiple disciplines. The robustness of model-aided ideotypes design can be further enhanced by continuously improving crop models and enhancing information exchange between modellers, agro-meteorologists, geneticists, physiologists, and plant breeders.
Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2017European Journal of AgronomyArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eja.2016.10.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 95 citations 95 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2017European Journal of AgronomyArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eja.2016.10.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 Netherlands, Finland, France, Netherlands, Germany, Denmark, Italy, Germany, France, Germany, United Kingdom, SpainPublisher:Oxford University Press (OUP) Funded by:UKRI | Achieving Sustainable Agr..., DFG | Catchments as Reactors: M..., DFG +2 projectsUKRI| Achieving Sustainable Agricultural Systems (ASSIST) ,DFG| Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale (CAMPOS) ,DFG ,AKA| Diversifying cropping systems for Climate-Smart Agriculture (DivCSA) ,EC| FACCE ERA NET PLUSDueri, Sibylle; Brown, Hamish; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, Rob; Guarin, Jose Rafael; Pequeno, Diego N L; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D; Basso, Bruno; Berger, Andres G; Mujica, Gennady Bracho; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Rezaei, Ehsan Eyshi; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt C; Nendel, Claas; Olesen, Jørgen E; Padovan, Gloria; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes W M; Rodríguez, Alfredo; Rötter, Reimund P; Ramos, Margarita Ruiz; Semenov, Mikhail A; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre; Pierre;Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2022Full-Text: https://doi.org/10.7910/dvn/xa4va2Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2022Publication Server of Helmholtz Zentrum München (PuSH)Article . 2022Data sources: Publication Server of Helmholtz Zentrum München (PuSH)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Publikationsserver der Universität PotsdamArticle . 2022License: CC BYData sources: Publikationsserver der Universität Potsdamadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jxb/erac221&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 21 citations 21 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 61visibility views 61 download downloads 119 Powered bymore_vert Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2022Full-Text: https://doi.org/10.7910/dvn/xa4va2Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2022Publication Server of Helmholtz Zentrum München (PuSH)Article . 2022Data sources: Publication Server of Helmholtz Zentrum München (PuSH)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Publikationsserver der Universität PotsdamArticle . 2022License: CC BYData sources: Publikationsserver der Universität Potsdamadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/jxb/erac221&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Journal 2014 ItalyPublisher:Cambridge University Press (CUP) Authors: FERRISE, ROBERTO; TROMBI, GIACOMO; Moriondo, Marco; BINDI, MARCO;doi: 10.1017/jwe.2014.30
handle: 20.500.14243/404846 , 2158/1013753
AbstractThe present paper aims to assess the impacts of climate change on grapevine cultivation in the Mediterranean basin by using three regional climatic models (RCMs), which were designed specifically for high-resolution simulation of climate in that region. RCM outputs were used to feed a grapevine growth simulation model, which was developed, tested, and calibrated for the Sangiovese variety. The study area was identified by implementing a bioclimatic classification of the regions based on the Winkler Index (ranging from 1,700 to 1,900 thermal units). The results indicated that the projected increasing temperatures will result in a general acceleration and shortening of the phenological stages compared to the present period. Accordingly, the reduction in time for biomass accumulation negatively affected the final yield. Few exceptions were found in the northern and central regions of the study area (southern France and western Balkans) for which changes in climatic conditions were not limiting and the crop benefited from the enhanced atmospheric concentration of carbon dioxide. (JEL Classifications: Q100, Q540)
Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository)Article . 2016Full-Text: https://flore.unifi.it/bitstream/2158/1013753/2/Ferrise%20et%20al_2016_J_Wine_Economics.pdfData sources: Flore (Florence Research Repository)Journal of Wine EconomicsArticle . 2014 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/jwe.2014.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu34 citations 34 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Flore (Florence Rese... arrow_drop_down Flore (Florence Research Repository)Article . 2016Full-Text: https://flore.unifi.it/bitstream/2158/1013753/2/Ferrise%20et%20al_2016_J_Wine_Economics.pdfData sources: Flore (Florence Research Repository)Journal of Wine EconomicsArticle . 2014 . Peer-reviewedLicense: Cambridge Core User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1017/jwe.2014.30&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Part of book or chapter of book 2012 France, Italy, FrancePublisher:Springer Netherlands Agnew M. D.; Goodess C. M.; Hemming D.; Giannakopoulos C.; BINDI, MARCO; DIBARI, CAMILLA; El Askary H.; El Hattab M.; El Raey M.; FERRISE, ROBERTO; Harzallah A.; Hatzaki M.; Kostopoulou E.; Lionello P.; Sahabi Abed S.; Sanchez Arcilla A.; Senouci M.; Sommer R.; Zoheir Taleb M.; Tanzarella A.;handle: 2158/862905 , 10568/51388
The active participationof the stakeholder communityis viewed as a crucial consideration in the regional assessment of climate change in the Mediterranean. Each of the CIRCE integrating case studies has benefitted from the real-life experience and expertise of local and regional stakeholders. The level of involvment has included stakeholder dialogue on an informal basis throughout the project, culminating in a series of more formal regional stakeholders workshops in the final year of the project. For each case study, stakeholders were chosen from the arena for which decisions are made at the regional-to-local level, and comprise local and regional decision and policy makers within government departments, agencies, and public/private sector entities. The CIRCE experience suggests that a more participatory approach, which involves sharing of “best” practice and accessible targeted information,will be fundamental to successful adaptation planning in the Mediterranean region. This experience ha salso been used to develop a good practice checklist for facilitating stakeholder involvement in research projects.
CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2014Full-Text: https://hdl.handle.net/10568/51388Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-94...Part of book or chapter of book . 2012 . Peer-reviewedLicense: Springer TDMData sources: CrossrefFlore (Florence Research Repository)Part of book or chapter of book . 2013Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-94-007-5769-1_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 2 citations 2 popularity Average influence Average impulse Average Powered by BIP!
more_vert CGIAR CGSpace (Consu... arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Part of book or chapter of book . 2014Full-Text: https://hdl.handle.net/10568/51388Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.1007/978-94...Part of book or chapter of book . 2012 . Peer-reviewedLicense: Springer TDMData sources: CrossrefFlore (Florence Research Repository)Part of book or chapter of book . 2013Data sources: Flore (Florence Research Repository)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/978-94-007-5769-1_2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 ItalyPublisher:Springer Science and Business Media LLC PIERANGIOLI, LEONE; CELLAI, GIANFRANCO; FERRISE, ROBERTO; TROMBI, GIACOMO; BINDI, MARCO;handle: 2158/1076401
This paper focuses on the effectiveness of passive adaptation measures against climate change, in the medium (2036–2065) and long term (2066–2095), for three case studies located in Florence (central Italy). In order to identify and highlight the passive measures which can provide comfort conditions with the lowest net heating and cooling energy demand, the input assumptions consider a constant thermal comfort level and don’t take into account either the effect of HVAC system’s performance and the degradation of the materials by ageing. The study results show that, in case of poorly insulated buildings, on the medium term, the reduction of energy needed for heating could be bigger than the increase for cooling, resulting in a total annual net energy need decrease, while in the long term the opposite happens. Conversely, considering a high level of thermal insulation, due to the large increase in cooling demand, the total annual energy need rises in both periods. Furthermore, attention should be paid to internal loads and solar gains that, due to the projected climate change, could become main contributors to the energy balance. In general, since the magnitude of energy need increase for cooling and decrease for heating is very significant on the long term, and varies in function of the type of building, the passive measure adopted and the level of thermal insulation, the research results lead to pay close attention to different types of energy refurbishment interventions, that should be selected in function of their effectiveness over time.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12273-016-0346-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1007/s12273-016-0346-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2011 ItalyPublisher:Resilience Alliance, Inc. DALLA MARTA, ANNA; NATALI, FRANCESCA; MANCINI, MARCO; FERRISE, ROBERTO; BINDI, MARCO; ORLANDINI, SIMONE;handle: 2158/532858
The contribution of agrobiomasses, as a source of energy, to the reduction of greenhouse gas emissions was confirmed by several studies. Biomass from agriculture represents one of the larger and more diverse sources to exploit and in particular ethanol and diesel have the potential to be a sustainable replacement for fossil fuels, mainly for transport purposes. However, the cultivation of energy crops dedicated to the production of biofuels presents some potential problems, e.g., competitiveness with food crops, water needs, use of fertilizers, etc., and the economic, energy, and environmental convenience of such activity depends on accurate evaluations about the global efficiency of the production system. In this study, the processes related to the cultivation of energy crops were analyzed from an energy and water cost perspective. The crops studied, maize (Zea mais) and sunflower (Helianthus annuus), were identified for their different water requirements and cultivation management, which in turns induces different energy costs. A 50-year climatic series of meteorological data from 19 weather stations scattered in the Tuscany region was used to feed the crop model CropSyst for the simulation of crop production, water requirement, and cultivation techniques. Obtained results were analyzed to define the real costs of energy crop cultivation, depending on energy and water balances. In the energy crop cultivation, the only positive energy balance was obtained with the more efficient system of irrigation whereas all the other cases provided negative balances. Concerning water, the results demonstrated that more than 1.000 liters of water are required for producing 1 liter of bioethanol. As a consequence, the cultivation of energy crops in the reserved areas of the region will almost double the actual water requirement of the agricultural sector in Tuscany.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5751/es-03991-160202&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 19 citations 19 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5751/es-03991-160202&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2018 United Kingdom, United Kingdom, France, United Kingdom, France, France, Australia, France, Spain, Finland, Germany, Italy, France, Italy, France, United Kingdom, France, United Kingdom, Denmark, NetherlandsPublisher:Wiley Funded by:AKA | Integrated modelling of N..., AKA | Integrated modelling of N..., AKA | Pathways for linking unce... +1 projectsAKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,EC| AGREENSKILLSDavide Cammarano; Mikhail A. Semenov; Heidi Horan; Yujing Gao; Frank Ewert; Jørgen E. Olesen; Joost Wolf; Curtis D. Jones; M. Ali Babar; Belay T. Kassie; Manuel Montesino San Martin; Sebastian Gayler; Andrea Maiorano; Dominique Ripoche; Bing Liu; Bing Liu; Pierre Stratonovitch; Zhigan Zhao; Zhigan Zhao; Bruno Basso; Zhao Zhang; Liujun Xiao; Pierre Martre; Claudio O. Stöckle; Garry O'Leary; Mukhtar Ahmed; Mukhtar Ahmed; Elias Fereres; Taru Palosuo; Daniel Wallach; R. Cesar Izaurralde; R. Cesar Izaurralde; Matthew P. Reynolds; Reimund P. Rötter; Ann-Kristin Koehler; Marijn van der Velde; Andrew J. Challinor; Andrew J. Challinor; Peter J. Thorburn; Mohamed Jabloun; Rosella Motzo; Sara Minoli; Benjamin Dumont; Kurt Christian Kersebaum; Claas Nendel; Glenn J. Fitzgerald; Juraj Balkovic; Juraj Balkovic; Marco Bindi; Eckart Priesack; Heidi Webber; Enli Wang; Giacomo De Sanctis; Christian Klein; Christoph Müller; Gerrit Hoogenboom; Francesco Giunta; Alex C. Ruane; Christine Girousse; Margarita Garcia-Vila; Ehsan Eyshi Rezaei; Ehsan Eyshi Rezaei; Thilo Streck; Iwan Supit; Roberto Ferrise; Christian Biernath; Soora Naresh Kumar; Pramod K. Aggarwal; Fulu Tao; Katharina Waha; Yan Zhu; Senthold Asseng; Ahmed M. S. Kheir; John R. Porter; John R. Porter; John R. Porter;doi: 10.1111/gcb.14481
pmid: 30549200
handle: 10261/207120 , 11388/220816 , 2158/1147460 , 11343/284917 , 10568/106685
doi: 10.1111/gcb.14481
pmid: 30549200
handle: 10261/207120 , 11388/220816 , 2158/1147460 , 11343/284917 , 10568/106685
AbstractWheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production.
CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2020Copenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 386 citations 386 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
visibility 48visibility views 48 download downloads 74 Powered bymore_vert CORE arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2020Full-Text: https://hdl.handle.net/10568/106685Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2019 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2020Copenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemUniversity of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2018 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)The University of Melbourne: Digital RepositoryArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Institut National de la Recherche Agronomique: ProdINRAArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)CIRAD: HAL (Agricultural Research for Development)Article . 2019Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.14481&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2018 ItalyPublisher:Elsevier BV Leolini, L.; Moriondo, M.; Fila, G.; Costafreda-Aumedes, S.; Ferrise, R.; Bindi, M.;handle: 20.500.14243/404834 , 2158/1131274
Viticulture is a worldwide agricultural sector with a relevant economic importance, especially in regions where the climate and environmental conditions meet requirements for the production of high quality wines. The impact of climate change combined with the increased frequency of extreme events predicted for the next future has already shown its potential detrimental effects on viticulture suitability, but few studies currently explored the effect of long-term climate change and extreme events by considering the inter-varietal variability of grapevine. In this study, the combined effect of mean climate change and extreme events (frost events at bud break and suboptimal temperatures for fruit-set) under future scenarios (RCP 4.5 and 8.5 for two time slices 2036-2065 and 2066-2095, respectively) was evaluated considering four grapevine varieties with very early, early, middle-early and late phenological cycles. The UniChill model calibrated for these varieties was applied in Europe to assess phenological dynamics (budbreak and flowering) using the outputs of a statistical downscaling procedure. Frost impact around budbreak stage as well as the impact of suboptimal temperature around flowering was estimated under present and future scenarios. The results showed a general earlier occurrence of budbreak and flowering stages with a particular relevance on northeastern Europe. The effect of warmer temperatures had a greater effect on late compared to very early and early varieties in western regions. The frequency of frost events at budbreak (T-min < 0 degrees C) showed wide variability across Europe, with a strong decrease in western regions (e.g. Spain and UK) and an increase in central Europe (e.g. Germany) for future scenarios. The decrease in the frequency of frost events was especially evident for very early and early varieties. The impact of suboptimal temperatures at flowering evidenced a significant variability across a latitudinal gradient while this effect did not show significant results when comparing cultivars and scenarios. The results of these studies highlighted that in a warmer climate frost events rather than stress at flowering will reshape the distribution of grapevine varieties in Europe.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.fcr.2017.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu74 citations 74 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.fcr.2017.11.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 Netherlands, Italy, Denmark, France, Finland, Germany, United Kingdom, Spain, Netherlands, FrancePublisher:Elsevier BV Funded by:EC | IMPRESSIONS, AKA | Pathways for linking unce..., AKA | Integrated modelling of N... +3 projectsEC| IMPRESSIONS ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Integrated modelling of Nordic farming systems for sustainable intensification under climate change (NORFASYS) ,AKA| Pathways for linking uncertainties in model projections of climate and its effects / Consortium: PLUMES ,AKA| Pathways linking uncertainties in model projections of climate and its effects / Consortium: PLUMESJulien Minet; Kurt Christian Kersebaum; Françoise Ruget; A.J.W. de Wit; C. Nendel; Taru Palosuo; Marco Bindi; Holger Hoffmann; Zacharias Steinmetz; Piotr Baranowski; Nina Pirttioja; Pierre Stratonovitch; Iwan Supit; F. Ewert; Davide Cammarano; Mikhail A. Semenov; Roberto Ferrise; Reimund P. Rötter; Margarita Ruiz-Ramos; Manuel Montesino; Fulu Tao; František Jurečka; František Jurečka; Samuel Buis; Alfredo Rodríguez; Alfredo Rodríguez; Marcos Lana; Stefan Fronzek; John R. Porter; Jukka Höhn; Benjamin Dumont; Altaaf Mechiche-Alami; Ignacio J. Lorite; Yi Chen; Thomas Gaiser; Jaromir Krzyszczak; Timothy R. Carter; Miroslav Trnka; Miroslav Trnka; P. Hlavinka; P. Hlavinka;Climate change is expected to severely affect cropping systems and food production in many parts of the world unless local adaptation can ameliorate these impacts. Ensembles of crop simulation models can be useful tools for assessing if proposed adaptation options are capable of achieving target yields, whilst also quantifying the share of uncertainty in the simulated crop impact resulting from the crop models themselves. Although some studies have analysed the influence of ensemble size on model outcomes, the effect of ensemble composition has not yet been properly appraised. Moreover, results and derived recommendations typically rely on averaged ensemble simulation results without accounting sufficiently for the spread of model outcomes. Therefore, we developed an Ensemble Outcome Agreement (EOA) index, which analyses the effect of changes in composition and size of a multi-model ensemble (MME) to evaluate the level of agreement between MME outcomes with respect to a given hypothesis (e.g. that adaptation measures result in positive crop responses). We analysed the recommendations of a previous study performed with an ensemble of 17 crop models and testing 54 adaptation options for rainfed winter wheat (Triticum aestivum L.) at Lleida (NE Spain) under perturbed conditions of temperature, precipitation and atmospheric CO2 concentration. Our results confirmed that most adaptations recommended in the previous study have a positive effect. However, we also showed that some options did not remain recommendable in specific conditions if different ensembles were considered. Using EOA, we were able to identify the adaptation options for which there is high confidence in their effectiveness at enhancing yields, even under severe climate perturbations. These include substituting spring wheat for winter wheat combined with earlier sowing dates and standard or longer duration cultivars, or introducing supplementary irrigation, the latter increasing EOA values in all cases. There is low confidence in recovering yields to baseline levels, although this target could be attained for some adaptation options under moderate climate perturbations. Recommendations derived from such robust results may provide crucial information for stakeholders seeking to implement adaptation measures.
Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAgricultural and Forest MeteorologyArticle . 2019Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2019 . Peer-reviewedCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemGöttingen Research Online PublicationsArticle . 2019License: CC BYData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.1016/j.ag...Other literature typeData sources: European Union Open Data PortalNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.09.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 41 citations 41 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Agricultural and For... arrow_drop_down Agricultural and Forest MeteorologyArticle . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAgricultural and Forest MeteorologyArticle . 2019Data sources: DANS (Data Archiving and Networked Services)Publikationenserver der Georg-August-Universität GöttingenArticle . 2019 . Peer-reviewedCopenhagen University Research Information SystemArticle . 2019Data sources: Copenhagen University Research Information SystemGöttingen Research Online PublicationsArticle . 2019License: CC BYData sources: Göttingen Research Online PublicationsWageningen Staff PublicationsArticle . 2019License: CC BYData sources: Wageningen Staff PublicationsInstitut National de la Recherche Agronomique: ProdINRAArticle . 2018Data sources: Bielefeld Academic Search Engine (BASE)University of Copenhagen: ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.1016/j.ag...Other literature typeData sources: European Union Open Data PortalNatural Resources Institute Finland: JukuriArticleData sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2018.09.018&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 ItalyPublisher:Elsevier BV Moriondo, Marco; FERRISE, ROBERTO; TROMBI, GIACOMO; Brilli, Lorenzo; DIBARI, CAMILLA; BINDI, MARCO;handle: 20.500.14243/270392 , 2158/1013499
The models developed for simulating olive tree and grapevine yields were reviewed by focussing on the major limitations of these models for their application in a changing climate. Empirical models, which exploit the statistical relationship between climate and yield, and process based models, where crop behaviour is defined by a range of relationships describing the main plant processes, were considered. The results highlighted that the application of empirical models to future climatic conditions (i.e. future climate scenarios) is unreliable since important statistical approaches and predictors are still lacking. While process-based models have the potential for application in climate-change impact assessments, our analysis demonstrated how the simulation of many processes affected by warmer and CO2-enriched conditions may give rise to important biases. Conversely, some crop model improvements could be applied at this stage since specific sub-models accounting for the effect of elevated temperatures and CO2 concentration were already developed.
Flore (Florence Rese... arrow_drop_down Environmental Modelling & SoftwareArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envsoft.2014.12.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu97 citations 97 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Flore (Florence Rese... arrow_drop_down Environmental Modelling & SoftwareArticle . 2015 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.envsoft.2014.12.016&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017 Germany, Finland, United Kingdom, Italy, FrancePublisher:Elsevier BV Tao, Fulu; Rotter, Reimund P.; Palosuo, Taru; Díaz-Ambrona, C.G.H.; Minguez, M. Ines; Semenov, Mikhail A.; Kersebaum, Kurt Christian; Nendel, Claas; Cammarano, Davide; Hoffmann, Holger; Ewert, Frank; Dambreville, Anaëlle; Martre, Pierre; Rodríguez, Lucía; Ruiz-Ramos, Margarita; Gaiser, Thomas; Höhn, Jukka G.; Salo, Tapio; Ferrise, Roberto; Bindi, Marco; Schulman, Alan H.;handle: 2158/1071328
Abstract Climate change and its associated higher frequency and severity of adverse weather events require genotypic adaptation. Process-based ecophysiological modelling offers a powerful means to better target and accelerate development of new crop cultivars. Barley ( Hordeum vulgare L.) is an important crop throughout the world, and a good model for study of the genetics of stress adaptation because many quantitative trait loci and candidate genes for biotic and abiotic stress tolerance have been identified in it. Here, we developed a new approach to design future crop ideotypes using an ensemble of eight barley simulation models (i.e. APSIM, CropSyst, HERMES, MCWLA, MONICA, SIMPLACE, SiriusQuality , and WOFOST), and applied it to design climate-resilient barley ideotypes for Boreal and Mediterranean climatic zones in Europe. The results showed that specific barley genotypes, represented by sets of cultivar parameters in the crop models, could be promising under future climate change conditions, resulting in increased yields and low inter-annual yield variability. In contrast, other genotypes could result in substantial yield declines. The most favorable climate-zone-specific barley ideotypes were further proposed, having combinations of several key genetic traits in terms of phenology, leaf growth, photosynthesis, drought tolerance, and grain formation. For both Boreal and Mediterranean climatic zones, barley ideotypes under future climatic conditions should have a longer reproductive growing period, lower leaf senescence rate, larger radiation use efficiency or maximum assimilation rate, and higher drought tolerance. Such characteristics can produce substantial positive impacts on yields under contrasting conditions. Moreover, barley ideotypes should have a low photoperiod and high vernalization sensitivity for the Boreal climatic zone; for the Mediterranean, in contrast, it should have a low photoperiod and low vernalization sensitivity. The drought-tolerance trait is more beneficial for the Mediterranean than for the Boreal climatic zone. Our study demonstrates a sound approach to design future barley ideotypes based on an ensemble of well-tested, diverse crop models and on integration of knowledge from multiple disciplines. The robustness of model-aided ideotypes design can be further enhanced by continuously improving crop models and enhancing information exchange between modellers, agro-meteorologists, geneticists, physiologists, and plant breeders.
Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2017European Journal of AgronomyArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eja.2016.10.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 95 citations 95 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2017European Journal of AgronomyArticle . 2017 . Peer-reviewedLicense: Elsevier TDMData sources: CrossrefInstitut National de la Recherche Agronomique: ProdINRAArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.eja.2016.10.012&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type 2022 Netherlands, Finland, France, Netherlands, Germany, Denmark, Italy, Germany, France, Germany, United Kingdom, SpainPublisher:Oxford University Press (OUP) Funded by:UKRI | Achieving Sustainable Agr..., DFG | Catchments as Reactors: M..., DFG +2 projectsUKRI| Achieving Sustainable Agricultural Systems (ASSIST) ,DFG| Catchments as Reactors: Metabolism of Pollutants on the Landscape Scale (CAMPOS) ,DFG ,AKA| Diversifying cropping systems for Climate-Smart Agriculture (DivCSA) ,EC| FACCE ERA NET PLUSDueri, Sibylle; Brown, Hamish; Asseng, Senthold; Ewert, Frank; Webber, Heidi; George, Mike; Craigie, Rob; Guarin, Jose Rafael; Pequeno, Diego N L; Stella, Tommaso; Ahmed, Mukhtar; Alderman, Phillip D; Basso, Bruno; Berger, Andres G; Mujica, Gennady Bracho; Cammarano, Davide; Chen, Yi; Dumont, Benjamin; Rezaei, Ehsan Eyshi; Fereres, Elias; Ferrise, Roberto; Gaiser, Thomas; Gao, Yujing; Garcia-Vila, Margarita; Gayler, Sebastian; Hochman, Zvi; Hoogenboom, Gerrit; Kersebaum, Kurt C; Nendel, Claas; Olesen, Jørgen E; Padovan, Gloria; Palosuo, Taru; Priesack, Eckart; Pullens, Johannes W M; Rodríguez, Alfredo; Rötter, Reimund P; Ramos, Margarita Ruiz; Semenov, Mikhail A; Senapati, Nimai; Siebert, Stefan; Srivastava, Amit Kumar; Stöckle, Claudio; Supit, Iwan; Tao, Fulu; Thorburn, Peter; Wang, Enli; Weber, Tobias Karl David; Xiao, Liujun; Zhao, Chuang; Zhao, Jin; Zhao, Zhigan; Zhu, Yan; Martre; Pierre;Abstract Crop multi-model ensembles (MME) have proven to be effective in increasing the accuracy of simulations in modelling experiments. However, the ability of MME to capture crop responses to changes in sowing dates and densities has not yet been investigated. These management interventions are some of the main levers for adapting cropping systems to climate change. Here, we explore the performance of a MME of 29 wheat crop models to predict the effect of changing sowing dates and rates on yield and yield components, on two sites located in a high-yielding environment in New Zealand. The experiment was conducted for 6 years and provided 50 combinations of sowing date, sowing density and growing season. We show that the MME simulates seasonal growth of wheat well under standard sowing conditions, but fails under early sowing and high sowing rates. The comparison between observed and simulated in-season fraction of intercepted photosynthetically active radiation (FIPAR) for early sown wheat shows that the MME does not capture the decrease of crop above ground biomass during winter months due to senescence. Models need to better account for tiller competition for light, nutrients, and water during vegetative growth, and early tiller senescence and tiller mortality, which are exacerbated by early sowing, high sowing densities, and warmer winter temperatures.
Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2022Full-Text: https://doi.org/10.7910/dvn/xa4va2Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2022Publication Server of Helmholtz Zentrum München (PuSH)Article . 2022Data sources: Publication Server of Helmholtz Zentrum München (PuSH)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Publikationsserver der Universität PotsdamArticle . 2022License: CC BYData sources: Publikationsserver der Universität Potsdamadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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visibility 61visibility views 61 download downloads 119 Powered bymore_vert Institut National de... arrow_drop_down Institut National de la Recherche Agronomique: ProdINRAArticle . 2022Full-Text: https://doi.org/10.7910/dvn/xa4va2Data sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTAPublikationenserver der Georg-August-Universität GöttingenArticle . 2022Publication Server of Helmholtz Zentrum München (PuSH)Article . 2022Data sources: Publication Server of Helmholtz Zentrum München (PuSH)Wageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsFlore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Publikationsserver der Universität PotsdamArticle . 2022License: CC BYData sources: Publikationsserver der Universität Potsdamadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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