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description Publicationkeyboard_double_arrow_right Article , Preprint 2024 SwitzerlandPublisher:American Association for the Advancement of Science (AAAS) Funded by:SNSF | Data-driven control appro..., EC | LeMo, SNSF | Perceptive Dynamic Locomo...SNSF| Data-driven control approaches for advanced legged locomotion ,EC| LeMo ,SNSF| Perceptive Dynamic Locomotion on Rough TerrainAuthors: Fabian Jenelten; Junzhe He; Farbod Farshidian; Marco Hutter;Fabian Jenelten; Junzhe He; Farbod Farshidian; Marco Hutter;Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been controlled using trajectory optimization with inverse dynamics. Such hierarchical model-based methods are appealing due to intuitive cost function tuning, accurate planning, generalization, and most importantly, the insightful understanding gained from more than one decade of extensive research. However, model mismatch and violation of assumptions are common sources of faulty operation. Simulation-based reinforcement learning, on the other hand, results in locomotion policies with unprecedented robustness and recovery skills. Yet, all learning algorithms struggle with sparse rewards emerging from environments where valid footholds are rare, such as gaps or stepping stones. In this work, we propose a hybrid control architecture that combines the advantages of both worlds to simultaneously achieve greater robustness, foot-placement accuracy, and terrain generalization. Our approach utilizes a model-based planner to roll out a reference motion during training. A deep neural network policy is trained in simulation, aiming to track the optimized footholds. We evaluate the accuracy of our locomotion pipeline on sparse terrains, where pure data-driven methods are prone to fail. Furthermore, we demonstrate superior robustness in the presence of slippery or deformable ground when compared to model-based counterparts. Finally, we show that our proposed tracking controller generalizes across different trajectory optimization methods not seen during training. In conclusion, our work unites the predictive capabilities and optimality guarantees of online planning with the inherent robustness attributed to offline learning. Science Robotics, 9 (86) ISSN:2470-9476
Research Collection arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.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 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Research Collection arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2024 FrenchPublisher:Zenodo Funded by:EC | FCCISEC| FCCISAuthors: European Organization for Nuclear Research;European Organization for Nuclear Research;Ce document défini le formulaire à utiliser pour la prise et l'analyse des échantillons de terre à la base du document "Liste d'analyses en laboratoire pour l'évaluation de la qualité du sol", identifié parFCC-2311091456-PLA (DOI 10.5281/zenodo.10492362).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 Netherlands, Switzerland, GermanyPublisher:American Geophysical Union (AGU) Funded by:EC | NunataryukEC| NunataryukDirk Jong; Lisa Bröder; Tommaso Tesi; George Tanski; Mickolai Oudenhuijsen; Michael Fritz; Hugues Lantuit; Negar Haghipour; Timothy Eglinton; Jorien Vonk;Erosion of permafrost coasts due to climate warming releases large quantities of organic carbon (OC) into the Arctic Ocean. While burial of permafrost OC in marine sediments potentially limits degradation, resuspension of sediments in the nearshore zone potentially enhances degradation and greenhouse gas production, adding to the “permafrost carbon feedback.” Recent studies, focusing on bulk sediments, suggest that permafrost OC derived from coastal erosion is predominantly deposited close to shore. However, bulk approaches disregard sorting processes in the coastal zone, which strongly influence the OC distribution and fate. We studied soils and sediments along a transect from the fast-eroding shoreline of Herschel Island—Qikiqtaruk (Yukon, Canada) to a depositional basin offshore. Sample material was fractionated by density (1.8 g cm−3) and size (63 μm), separating loose OC from mineral-associated OC. Each fraction was analyzed for element content (TOC, TN), carbon isotopes (δ13C, Δ14C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The OC partitioning between fractions changes considerably along the transect, highlighting the importance of hydrodynamic sorting in the nearshore zone. Additionally, OC and biomarker loadings decrease along the land-ocean transect, indicating significant loss of OC during transport. However, molecular proxies for degradation show contrasting trends, suggesting that OC losses are not always well reflected in its degradation state. This study, using fraction partitioning that crosses land-ocean boundaries in a way not done before, aids to disentangle sorting processes from degradation patterns, and provides quantitative insight into losses of thawed and eroded permafrost OC. Journal of Geophysical Research: Biogeosciences, 129 (1) ISSN:2169-8961 ISSN:0148-0227 ISSN:2169-8953
Research Collection arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefJournal of Geophysical Research BiogeosciencesArticle . 2024add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Research Collection arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefJournal of Geophysical Research BiogeosciencesArticle . 2024add 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.eudescription Publicationkeyboard_double_arrow_right Article 2023 Spain, Italy, GermanyPublisher:American Meteorological Society Funded by:EC | A-LIFE, EC | EUNADICS-AV, EC | FRAGMENT +1 projectsEC| A-LIFE ,EC| EUNADICS-AV ,EC| FRAGMENT ,EC| ACTRIS IMPMona, Licia; Amiridis, Vassilis; Cuevas, Emilio; Gkikas, Antonis; Trippetta, Serena; Vandenbussche, Sophie; Benedetti, Angela; Dagsson-Waldhauserova, Pavla; Formenti, Paola; Haefele, Alexander; Kazadzis, Stelios; Knippertz, Peter; Laurent, Benoit; Madonna, Fabio; Nickovic, S.; Papagiannopoulos, Nikolaos; Pappalardo, Gelsomina; Perez Garcia-Pando, Carlos; Popp, Thomas; Rodriguez, Sergio; Sealy, Andrea; Sugimoto, Nobuo; Terradellas, Enric; Vukovic Vimic, Ana; Weinzierl, Bernadett; Basart, Sara;handle: 10261/339009 , 20.500.11765/15177 , 2117/393050
Authors acknowledge dr Sangboom Ryoo of Korean Meteorological Administration in Seoul for his help and support.The research leading to these results has received funding from the COST ActionCA16202, supported by COST Association (European Cooperation in Science and Technology), from DustClim Project as part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462) and by the European Union’s Horizon 2020 research program for societal challenges – smart, green and integrated transport under grant agreement no.723986 (project EUNADICS-AV – European Natural Disaster Coordination and Information System for Aviation). L. Mona acknowledges the ACTRIS-IMP (Implementation project), funded by the European Union’s Horizon 2020 research and innovation programme (Grant no 871115) and the contribution of the ACTRIS-ITALIA JRU (CNR prot. n. 0067310/2017). S. Basart acknowledges CAMS-84 and CAMS2-82 (part of the Copernicus Atmospheric Monitoring Services, CAMS) and the Spanish Jose Castillejo mobility programme (CAS18/0033). V. Amiridis acknowledges support from the European Research Council (grant no. 725698, D-TECT). A. Gkikas acknowledges support by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “2nd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (project acronym: ATLANTAS, project number: 544). S. Kazadzis acknowledges the ACTRIS-CH (Aerosol, Clouds and Trace Gases Research Infrastructure–- Swiss contribution) funded by the State Secretariat for Education, Research, and Innovation, Switzerland. Work of P. Dagsson-Waldhauserova was partly funded by the Czech Science Foundation (HLD-CHANGE project, no. 20-06168Y). C. Pérez García-Pando acknowledges the long-term support from the AXA Research Fund, as well as the support received through the Ramón y Cajal programme (grant RYC-2015-18690) of the Spanish Ministry of Economy and Competitiveness, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 773051).B. Weinzierl acknowledges funding under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 640458, A‐LIFE). Mineral dust produced by wind erosion of arid and semi-arid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socio-economic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust forecasts tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities including in-situ, ground-based and satellite remote sensing observations, in Northern Africa, the Middle East and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders "Article signat per 26 autors/es: Lucia Mona, Vassilis Amiridis, Emilio Cuevas, Antonis Gkikas, Serena Trippetta, Sophie Vandenbussche, Angela Benedetti, Pavla Dagsson-Waldhauserova, Paola Formenti, Alexander Haefele, Stelios Kazadzis, Peter Knippertz, Benoit Laurent, Fabio Madonna, Slobodan Nickovic, Nikolaos Papagiannopoulos, Gelsomina Pappalardo, Carlos Pérez García-Pando, Thomas Popp, Sergio Rodríguez, Andrea Sealy, Nobuo Sugimoto, Enric Terradellas, Ana Vukovic Vimic, Bernadette Weinzierl, and Sara Basart " Peer Reviewed
CNR ExploRA arrow_drop_down Bulletin of the American Meteorological Society; UPCommons. Portal del coneixement obert de la UPC; DLR publication serverOther literature type . Article . 2023 . Peer-reviewedUPCommons. Portal del coneixement obert de la UPCArticle . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.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 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 140visibility views 140 download downloads 146 Powered bymore_vert CNR ExploRA arrow_drop_down Bulletin of the American Meteorological Society; UPCommons. Portal del coneixement obert de la UPC; DLR publication serverOther literature type . Article . 2023 . Peer-reviewedUPCommons. Portal del coneixement obert de la UPCArticle . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:Elsevier BV Funded by:EC | SUPER-GEC| SUPER-GRuikun Gou; Nina Buchmann; Jinshu Chi; Yunpeng Luo; Lidong Mo; Ankit Shekhar; Iris Feigenwinter; Lukas Hörtnagl; Weizhi Lu; Xiaowei Cui; Yuchen Meng; Shanshan Song; Guangxuan Lin; Yuechao Chen; Jie Liang; Jiemin Guo; Haijun Peng; Guanghui Lin;Mangroves, highly efficient ecosystems in sequestering CO2, are strongly impacted by climate change. The lack of long-term observation in mangroves hinders the evaluation of seasonal and inter-annual variability in carbon and water fluxes and their responses to various environmental drivers. In this study, we measured net ecosystem CO2 exchange and evapotranspiration between the atmosphere and subtropical mangroves using the eddy covariance technique over a decade (2010–2019) in southern China. This mangrove forest acted as a strong CO2 sink, with annual net ecosystem production (NEP) ranging from 622.5 to 832.8 g C m−2 year−1. The annual evapotranspiration (ET) varied between 934.6 and 1004.9 mm year−1. During the study period, ET consistently remained higher in the wet season (May to October) compared to the dry season, while NEP did not exhibit consistent seasonal variation. Path analysis indicated that during the dry season, NEP was primarily influenced by global solar radiation and vapor pressure deficit. However, in the wet season, NEP was regulated by a combination of global solar radiation, vapor pressure deficit, air temperature, and tidal inundation time. Additionally, the promoting effect of global solar radiation on NEP decreased in the wet season, while the inhibitory influences of higher temperature and vapor pressure deficit on NEP intensified during the period. Unlike NEP, the dominant factors affecting ET (global solar radiation, air temperature, and vapor pressure deficit) and their intensities remained relatively consistent during both seasons. Furthermore, the relative importance of global solar radiation on NEP and ET increased over the decade, while the influence of tidal inundation time diminished. This study not only improves the understanding of the response of subtropical mangroves to climate change but also provides a valuable benchmark dataset to validate the interannual variability of mangrove carbon and water fluxes estimated from the models. Agricultural and Forest Meteorology, 343 ISSN:1873-2240 ISSN:0168-1923
Research Collection arrow_drop_down Agricultural and Forest MeteorologyArticle . 2023 . 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.
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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 Research Collection arrow_drop_down Agricultural and Forest MeteorologyArticle . 2023 . 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Germany, SwitzerlandPublisher:Copernicus GmbH Funded by:EC | PAULEC| PAULX. Zhao; J. Chen; J. Marshall; M. Gałkowski; M. Gałkowski; S. Hachinger; F. Dietrich; A. Shekhar; J. Gensheimer; A. Wenzel; C. Gerbig;To address ambitious goals of carbon neutrality set at national and city scales, a number of atmospheric networks have been deployed to monitor greenhouse gas (GHG) concentrations in and around cities. To convert these measurements into estimates of emissions from cities, atmospheric models are used to simulate the transport of various trace gases and help interpret these measurements. We set up a modelling framework using the Weather Research and Forecasting (WRF) model applied at a high spatial resolution (up to 400 m) to simulate the atmospheric transport of GHGs and attempt a preliminary interpretation of the observations provided by the Munich Urban Carbon Column Network (MUCCnet). Building on previous analyses using similar measurements performed within a campaign for the city of Berlin and its surroundings (Zhao et al., 2019), our modelling framework has been improved regarding the initialization of tagged tracers, model settings, and input data. To assess the model performance, we validate the modelled output against two local weather stations and two radiosonde observations, as well as observed column GHG concentrations. The measurements were provided by the measurement campaign that was carried out from 1 to 30 August 2018. The modelled wind matches well with the measurements from the weather stations, with wind speeds slightly overestimated. In general, the model is able to reproduce the measured slant column concentrations of CH₄ and their variability, while for CO₂, a difference in the slant column CO₂ of around 3.7 ppm is found in the model. This can be attributed to the initial and lateral boundary conditions used for the background tracer. Additional mismatches in the diurnal cycle could be explained by an underestimation of nocturnal respiration in the modelled CO₂ biogenic fluxes. The differential column method (DCM) has been applied to cancel out the influence from the background concentrations. We optimize its application by selecting suitable days on which the assumption of the DCM holds true: a relatively uniform air mass travels over the city, passing from an upwind site to a downwind site. In particular, the Stochastic Time-Inverted Lagrangian Transport (STILT) model is used here and driven by our WRF-modelled meteorological fields to obtain footprints (i.e. the potential areas of influence for signals observed at measurement stations), further used for interpreting measurement results. Combining these footprints with local knowledge of emission sources, we find evidence of CH₄ sources near Munich that are missing or underestimated in the emission inventory used. This demonstrates the potential of this data–model framework to constrain local sources and improve emission inventories. Atmospheric Chemistry and Physics, 23 (22) ISSN:1680-7375 ISSN:1680-7367
MPG.PuRe arrow_drop_down Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus PublicationsAtmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.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 gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert MPG.PuRe arrow_drop_down Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus PublicationsAtmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, NetherlandsPublisher:Elsevier BV Funded by:EC | LANDMARCEC| LANDMARCBössner, Stefan; Xylia, Maria; Bilbao, Bibiana; Indriani, Siti N.; Laub, Moritz; Rahn, Eric; Virla, Luis D.; Johnson, Francis X.;Land-based mitigation technologies and practices (LMTs) reduce GHG emissions associated with land use and/or enhance terrestrial GHG sinks. This article investigates capacity gaps to successfully facilitate LMT adoption and/or scaling in the regions of Latin America, Europe, North America, sub-Saharan Africa and Southeast Asia. We look at LMTs such as agricultural land management, agroforestry, bioenergy with carbon capture and storage (BECCS), biochar, forest management, and peat/wetland management. We used a triangulation method based on literature review, an online survey, and semi-structured interviews with experts from Academia, Industry, NGOs, Local Communities and Government, to capture and analyze the most prominent capacity gaps by LMT and according to regional contexts. This approach identified ‘understanding’, ‘awareness’ and ‘economic/finance’ as the most important capacity gaps when it comes to LMT adoption and scaling across the aforementioned regions. A recommended first step for increased LMT adoption would be to address the knowledge and understanding capacity gaps, which, in turn, could help make LMTs more attractive to stakeholders. Policymakers in cooperation with other stakeholders might reflect on dedicated support policies and regulatory frameworks that level the playing field for LMTs (as compared to mitigation technologies and practices in energy and other sectors). Other good practice examples include market building for LMTs, using emerging carbon markets, designing bottom-up implementation plans in cooperation with local and Indigenous Peoples, increased ecosystems services payments and taking into consideration local and traditional knowledge for successful LMT adoption and scaling. Land Use Policy, 134 ISSN:0264-8377 ISSN:1873-5754
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:MDPI AG Funded by:EC | MOVINGEC| MOVINGKamar Habli; Diana E. Dumitras; Emilia Schmitt; Isabella Maglietti Smith; Dominique Barjolle;The circular economy (CE) has shown promise for achieving several of the UN’s Sustainable Development Goals, replacing the linear system and reducing negative impacts on the environment. This research aims to assess the effective adoption of CE principles in three cheeses with geographical indication (GI) through an analysis of the practices identified in their respective value chains. Qualitative interviews show the persistence of historical practices that preserve the heritage behind the product, maintain autonomy in relation to external inputs and save energy or make intelligent use of by-products. Radical adoption of CE principles requires innovation to reduce the use of new inputs and greenhouse gas emissions. GI food products are generally not constrained by standards beyond those set by law, but their specifications can be modified, while respecting practices consistent with the link to the terroir. However, the remoteness of small businesses in deep rural areas, far from research centers, is slowing down the transfer of knowledge and the adoption of the latest technologies, particularly in mountainous areas. More participatory research and innovative initiatives are needed to ensure the transition to a circular economy for traditional mountain products, which are strongly linked to local culinary traditions and cultural identity. Foods, 12 (21) ISSN:2304-8158
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:Frontiers Media SA Funded by:EC | REINFORCEEC| REINFORCELaurin Hillebrand; Laurin Hillebrand; Sebastian Marzini; Sebastian Marzini; Alice Crespi; Ulrike Hiltner; Ulrike Hiltner; Marco Mina;handle: 20.500.11850/637157
Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls and avalanches in mountain areas. Rapid climate change is challenging the role of protection forests by altering their dynamics, structure, and composition. Information on local- and regional-scale impacts of climate change on protection forests is critical for planning adaptations in forest management. We used a model of forest dynamics (ForClim) to assess the succession of mountain forests in the Eastern Alps and their protective effects under future climate change scenarios. We investigated eleven representative forest sites along an elevational gradient across multiple locations within an administrative region, covering wide differences in tree species structure, composition, altitude, and exposition. We evaluated protective performance against rockfall and avalanches using numerical indices (i.e., linker functions) quantifying the degree of protection from metrics of simulated forest structure and composition. Our findings reveal that climate warming has a contrasting impact on protective effects in mountain forests of the Eastern Alps. Climate change is likely to not affect negatively all protection forest stands but its impact depends on site and stand conditions. Impacts were highly contingent to the magnitude of climate warming, with increasing criticality under the most severe climate projections. Forests in lower-montane elevations and those located in dry continental valleys showed drastic changes in forest structure and composition due to drought-induced mortality while subalpine forests mostly profited from rising temperatures and a longer vegetation period. Overall, avalanche protection will likely be negatively affected by climate change, while the ability of forests to maintain rockfall protection depends on the severity of expected climate change and their vulnerability due to elevation and topography, with most subalpine forests less prone to loosing protective effects. Proactive measures in management should be taken in the near future to avoid losses of protective effects in the case of severe climate change in the Alps. Given the heterogeneous impact of climate warming, such adaptations can be aided by model-based projections and high local resolution studies to identify forest stand types that might require management priority for maintaining protective effects in the future. Frontiers in Forests and Global Change, 6 ISSN:2624-893X
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United Kingdom, Germany, Denmark, Italy, France, Belgium, France, Italy, Sweden, Finland, Netherlands, Denmark, Belgium, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:EC | SUPER-GEC| SUPER-GMingjuanXie 1; 2; 3; 4; 5; 63; Xiaofei Ma 1; 63; YuangangWang 1; 3; Chaofan Li 6; Haiyang Shi 7; XiuliangYuan1; Olaf Hellwich8; Chunbo Chen1; WenqiangZhang 1; 2; 3; 4; 5; Chen Zhang 1; 3; Qing Ling 1; 3; RuixiangGao 1; 3; Yu Zhang 1; 2; 3; 4; 5; Friday Uchenna Ochege 1; 9; Amaury Frankl 2; Philippe De Maeyer1; 2; 3; 4; 5; Nina Buchmann 10; Iris Feigenwinter10; Jørgen E. Olesen 11; Radoslaw Juszczak12; Adrien Jacotot 13; Aino Korrensalo14; 15; Andrea Pitacco 16; AndrejVarlagin 17; Ankit Shekhar 10; Annalea Lohila 18; 19; Arnaud Carrara 20; Aurore Brut21; Bart Kruijt 22; Benjamin Loubet23; Bernard Heinesch24; Bogdan Chojnicki12; Carole Helfter 25; CarolineVincke26; Changliang Shao27; Christian Bernhofer 28; Christian Brümmer 29; ChristianWille 30; Eeva-StiinaTuittila 31; Eiko Nemitz25; Franco Meggio 16; Gang Dong32; Gary Lanigan33; Georg Niedrist 34; GeorgWohlfahrt 35; GuoyiZhou36; IgnacioGoded 37; ThomasGruenwald 28; Janusz Olejnik 38; Joachim Jansen 39; Johan Neirynck 40; Juha-PekkaTuovinen 18; JunhuiZhang41; Katja Klumpp 42; Kim Pilegaard43; Ladislav ?igut 44; Leif Klemedtsson 45; LucaTezza 16; Lukas Hörtnagl 10; Marek Urbaniak 38; Marilyn Roland 46; Marius Schmidt 47; MarkA. Sutton25; Markus Hehn28; Matthew Saunders 48; Matthias Mauder28; MikaAurela 18; Mika Korkiakoski 18; Mingyuan Du 49; NadiaVendrame 50; Natalia Kowalska 44; PaulG. Leahy 51; PavelAlekseychik52; Peili Shi 53; PerWeslien 45; Shiping Chen54; Silvano Fares 55; Thomas Friborg 56; TiphaineTallec21; Tomomichi Kato 57; Torsten Sachs 30; Trofm Maximov58; Umberto Morra di Cella59; Uta Moderow 28; Yingnian Li 60; Yongtao He53; Yoshiko Kosugi61; Geping Luo;pmid: 37679357
pmc: PMC10485062
Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R²), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002–2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983–2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics. Scientific Data, 10 ISSN:2052-4463
Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.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 gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Preprint 2024 SwitzerlandPublisher:American Association for the Advancement of Science (AAAS) Funded by:SNSF | Data-driven control appro..., EC | LeMo, SNSF | Perceptive Dynamic Locomo...SNSF| Data-driven control approaches for advanced legged locomotion ,EC| LeMo ,SNSF| Perceptive Dynamic Locomotion on Rough TerrainAuthors: Fabian Jenelten; Junzhe He; Farbod Farshidian; Marco Hutter;Fabian Jenelten; Junzhe He; Farbod Farshidian; Marco Hutter;Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been controlled using trajectory optimization with inverse dynamics. Such hierarchical model-based methods are appealing due to intuitive cost function tuning, accurate planning, generalization, and most importantly, the insightful understanding gained from more than one decade of extensive research. However, model mismatch and violation of assumptions are common sources of faulty operation. Simulation-based reinforcement learning, on the other hand, results in locomotion policies with unprecedented robustness and recovery skills. Yet, all learning algorithms struggle with sparse rewards emerging from environments where valid footholds are rare, such as gaps or stepping stones. In this work, we propose a hybrid control architecture that combines the advantages of both worlds to simultaneously achieve greater robustness, foot-placement accuracy, and terrain generalization. Our approach utilizes a model-based planner to roll out a reference motion during training. A deep neural network policy is trained in simulation, aiming to track the optimized footholds. We evaluate the accuracy of our locomotion pipeline on sparse terrains, where pure data-driven methods are prone to fail. Furthermore, we demonstrate superior robustness in the presence of slippery or deformable ground when compared to model-based counterparts. Finally, we show that our proposed tracking controller generalizes across different trajectory optimization methods not seen during training. In conclusion, our work unites the predictive capabilities and optimality guarantees of online planning with the inherent robustness attributed to offline learning. Science Robotics, 9 (86) ISSN:2470-9476
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type 2024 FrenchPublisher:Zenodo Funded by:EC | FCCISEC| FCCISAuthors: European Organization for Nuclear Research;European Organization for Nuclear Research;Ce document défini le formulaire à utiliser pour la prise et l'analyse des échantillons de terre à la base du document "Liste d'analyses en laboratoire pour l'évaluation de la qualité du sol", identifié parFCC-2311091456-PLA (DOI 10.5281/zenodo.10492362).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 Netherlands, Switzerland, GermanyPublisher:American Geophysical Union (AGU) Funded by:EC | NunataryukEC| NunataryukDirk Jong; Lisa Bröder; Tommaso Tesi; George Tanski; Mickolai Oudenhuijsen; Michael Fritz; Hugues Lantuit; Negar Haghipour; Timothy Eglinton; Jorien Vonk;Erosion of permafrost coasts due to climate warming releases large quantities of organic carbon (OC) into the Arctic Ocean. While burial of permafrost OC in marine sediments potentially limits degradation, resuspension of sediments in the nearshore zone potentially enhances degradation and greenhouse gas production, adding to the “permafrost carbon feedback.” Recent studies, focusing on bulk sediments, suggest that permafrost OC derived from coastal erosion is predominantly deposited close to shore. However, bulk approaches disregard sorting processes in the coastal zone, which strongly influence the OC distribution and fate. We studied soils and sediments along a transect from the fast-eroding shoreline of Herschel Island—Qikiqtaruk (Yukon, Canada) to a depositional basin offshore. Sample material was fractionated by density (1.8 g cm−3) and size (63 μm), separating loose OC from mineral-associated OC. Each fraction was analyzed for element content (TOC, TN), carbon isotopes (δ13C, Δ14C), molecular biomarkers (n-alkanes, n-alkanoic acids, lignin phenols, cutin acids), and mineral surface area. The OC partitioning between fractions changes considerably along the transect, highlighting the importance of hydrodynamic sorting in the nearshore zone. Additionally, OC and biomarker loadings decrease along the land-ocean transect, indicating significant loss of OC during transport. However, molecular proxies for degradation show contrasting trends, suggesting that OC losses are not always well reflected in its degradation state. This study, using fraction partitioning that crosses land-ocean boundaries in a way not done before, aids to disentangle sorting processes from degradation patterns, and provides quantitative insight into losses of thawed and eroded permafrost OC. Journal of Geophysical Research: Biogeosciences, 129 (1) ISSN:2169-8961 ISSN:0148-0227 ISSN:2169-8953
Research Collection arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefJournal of Geophysical Research BiogeosciencesArticle . 2024add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Research Collection arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BYData sources: CrossrefJournal of Geophysical Research BiogeosciencesArticle . 2024add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Spain, Italy, GermanyPublisher:American Meteorological Society Funded by:EC | A-LIFE, EC | EUNADICS-AV, EC | FRAGMENT +1 projectsEC| A-LIFE ,EC| EUNADICS-AV ,EC| FRAGMENT ,EC| ACTRIS IMPMona, Licia; Amiridis, Vassilis; Cuevas, Emilio; Gkikas, Antonis; Trippetta, Serena; Vandenbussche, Sophie; Benedetti, Angela; Dagsson-Waldhauserova, Pavla; Formenti, Paola; Haefele, Alexander; Kazadzis, Stelios; Knippertz, Peter; Laurent, Benoit; Madonna, Fabio; Nickovic, S.; Papagiannopoulos, Nikolaos; Pappalardo, Gelsomina; Perez Garcia-Pando, Carlos; Popp, Thomas; Rodriguez, Sergio; Sealy, Andrea; Sugimoto, Nobuo; Terradellas, Enric; Vukovic Vimic, Ana; Weinzierl, Bernadett; Basart, Sara;handle: 10261/339009 , 20.500.11765/15177 , 2117/393050
Authors acknowledge dr Sangboom Ryoo of Korean Meteorological Administration in Seoul for his help and support.The research leading to these results has received funding from the COST ActionCA16202, supported by COST Association (European Cooperation in Science and Technology), from DustClim Project as part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462) and by the European Union’s Horizon 2020 research program for societal challenges – smart, green and integrated transport under grant agreement no.723986 (project EUNADICS-AV – European Natural Disaster Coordination and Information System for Aviation). L. Mona acknowledges the ACTRIS-IMP (Implementation project), funded by the European Union’s Horizon 2020 research and innovation programme (Grant no 871115) and the contribution of the ACTRIS-ITALIA JRU (CNR prot. n. 0067310/2017). S. Basart acknowledges CAMS-84 and CAMS2-82 (part of the Copernicus Atmospheric Monitoring Services, CAMS) and the Spanish Jose Castillejo mobility programme (CAS18/0033). V. Amiridis acknowledges support from the European Research Council (grant no. 725698, D-TECT). A. Gkikas acknowledges support by the Hellenic Foundation for Research and Innovation (H.F.R.I.) under the “2nd Call for H.F.R.I. Research Projects to support Post-Doctoral Researchers” (project acronym: ATLANTAS, project number: 544). S. Kazadzis acknowledges the ACTRIS-CH (Aerosol, Clouds and Trace Gases Research Infrastructure–- Swiss contribution) funded by the State Secretariat for Education, Research, and Innovation, Switzerland. Work of P. Dagsson-Waldhauserova was partly funded by the Czech Science Foundation (HLD-CHANGE project, no. 20-06168Y). C. Pérez García-Pando acknowledges the long-term support from the AXA Research Fund, as well as the support received through the Ramón y Cajal programme (grant RYC-2015-18690) of the Spanish Ministry of Economy and Competitiveness, and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 773051).B. Weinzierl acknowledges funding under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 640458, A‐LIFE). Mineral dust produced by wind erosion of arid and semi-arid surfaces is a major component of atmospheric aerosol that affects climate, weather, ecosystems, and socio-economic sectors such as human health, transportation, solar energy, and air quality. Understanding these effects and ultimately improving the resilience of affected countries requires a reliable, dense, and diverse set of dust observations, fundamental for the development and the provision of skillful dust forecasts tailored products. The last decade has seen a notable improvement of dust observational capabilities in terms of considered parameters, geographical coverage, and delivery times, as well as of tailored products of interest to both the scientific community and the various end-users. Given this progress, here we review the current state of observational capabilities including in-situ, ground-based and satellite remote sensing observations, in Northern Africa, the Middle East and Europe for the provision of dust information considering the needs of various users. We also critically discuss observational gaps and related unresolved questions while providing suggestions for overcoming the current limitations. Our review aims to be a milestone for discussing dust observational gaps at a global level to address the needs of users, from research communities to nonscientific stakeholders "Article signat per 26 autors/es: Lucia Mona, Vassilis Amiridis, Emilio Cuevas, Antonis Gkikas, Serena Trippetta, Sophie Vandenbussche, Angela Benedetti, Pavla Dagsson-Waldhauserova, Paola Formenti, Alexander Haefele, Stelios Kazadzis, Peter Knippertz, Benoit Laurent, Fabio Madonna, Slobodan Nickovic, Nikolaos Papagiannopoulos, Gelsomina Pappalardo, Carlos Pérez García-Pando, Thomas Popp, Sergio Rodríguez, Andrea Sealy, Nobuo Sugimoto, Enric Terradellas, Ana Vukovic Vimic, Bernadette Weinzierl, and Sara Basart " Peer Reviewed
CNR ExploRA arrow_drop_down Bulletin of the American Meteorological Society; UPCommons. Portal del coneixement obert de la UPC; DLR publication serverOther literature type . Article . 2023 . Peer-reviewedUPCommons. Portal del coneixement obert de la UPCArticle . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd ClaimPlease grant OpenAIRE to access and update your ORCID works.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 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!visibility 140visibility views 140 download downloads 146 Powered bymore_vert CNR ExploRA arrow_drop_down Bulletin of the American Meteorological Society; UPCommons. Portal del coneixement obert de la UPC; DLR publication serverOther literature type . Article . 2023 . Peer-reviewedUPCommons. Portal del coneixement obert de la UPCArticle . 2023Data sources: UPCommons. Portal del coneixement obert de la UPCRecolector de Ciencia Abierta, RECOLECTA; DIGITAL.CSICArticle . 2023 . Peer-reviewedadd 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.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:Elsevier BV Funded by:EC | SUPER-GEC| SUPER-GRuikun Gou; Nina Buchmann; Jinshu Chi; Yunpeng Luo; Lidong Mo; Ankit Shekhar; Iris Feigenwinter; Lukas Hörtnagl; Weizhi Lu; Xiaowei Cui; Yuchen Meng; Shanshan Song; Guangxuan Lin; Yuechao Chen; Jie Liang; Jiemin Guo; Haijun Peng; Guanghui Lin;Mangroves, highly efficient ecosystems in sequestering CO2, are strongly impacted by climate change. The lack of long-term observation in mangroves hinders the evaluation of seasonal and inter-annual variability in carbon and water fluxes and their responses to various environmental drivers. In this study, we measured net ecosystem CO2 exchange and evapotranspiration between the atmosphere and subtropical mangroves using the eddy covariance technique over a decade (2010–2019) in southern China. This mangrove forest acted as a strong CO2 sink, with annual net ecosystem production (NEP) ranging from 622.5 to 832.8 g C m−2 year−1. The annual evapotranspiration (ET) varied between 934.6 and 1004.9 mm year−1. During the study period, ET consistently remained higher in the wet season (May to October) compared to the dry season, while NEP did not exhibit consistent seasonal variation. Path analysis indicated that during the dry season, NEP was primarily influenced by global solar radiation and vapor pressure deficit. However, in the wet season, NEP was regulated by a combination of global solar radiation, vapor pressure deficit, air temperature, and tidal inundation time. Additionally, the promoting effect of global solar radiation on NEP decreased in the wet season, while the inhibitory influences of higher temperature and vapor pressure deficit on NEP intensified during the period. Unlike NEP, the dominant factors affecting ET (global solar radiation, air temperature, and vapor pressure deficit) and their intensities remained relatively consistent during both seasons. Furthermore, the relative importance of global solar radiation on NEP and ET increased over the decade, while the influence of tidal inundation time diminished. This study not only improves the understanding of the response of subtropical mangroves to climate change but also provides a valuable benchmark dataset to validate the interannual variability of mangrove carbon and water fluxes estimated from the models. Agricultural and Forest Meteorology, 343 ISSN:1873-2240 ISSN:0168-1923
Research Collection arrow_drop_down Agricultural and Forest MeteorologyArticle . 2023 . 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2023.109764&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 Research Collection arrow_drop_down Agricultural and Forest MeteorologyArticle . 2023 . 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 Germany, SwitzerlandPublisher:Copernicus GmbH Funded by:EC | PAULEC| PAULX. Zhao; J. Chen; J. Marshall; M. Gałkowski; M. Gałkowski; S. Hachinger; F. Dietrich; A. Shekhar; J. Gensheimer; A. Wenzel; C. Gerbig;To address ambitious goals of carbon neutrality set at national and city scales, a number of atmospheric networks have been deployed to monitor greenhouse gas (GHG) concentrations in and around cities. To convert these measurements into estimates of emissions from cities, atmospheric models are used to simulate the transport of various trace gases and help interpret these measurements. We set up a modelling framework using the Weather Research and Forecasting (WRF) model applied at a high spatial resolution (up to 400 m) to simulate the atmospheric transport of GHGs and attempt a preliminary interpretation of the observations provided by the Munich Urban Carbon Column Network (MUCCnet). Building on previous analyses using similar measurements performed within a campaign for the city of Berlin and its surroundings (Zhao et al., 2019), our modelling framework has been improved regarding the initialization of tagged tracers, model settings, and input data. To assess the model performance, we validate the modelled output against two local weather stations and two radiosonde observations, as well as observed column GHG concentrations. The measurements were provided by the measurement campaign that was carried out from 1 to 30 August 2018. The modelled wind matches well with the measurements from the weather stations, with wind speeds slightly overestimated. In general, the model is able to reproduce the measured slant column concentrations of CH₄ and their variability, while for CO₂, a difference in the slant column CO₂ of around 3.7 ppm is found in the model. This can be attributed to the initial and lateral boundary conditions used for the background tracer. Additional mismatches in the diurnal cycle could be explained by an underestimation of nocturnal respiration in the modelled CO₂ biogenic fluxes. The differential column method (DCM) has been applied to cancel out the influence from the background concentrations. We optimize its application by selecting suitable days on which the assumption of the DCM holds true: a relatively uniform air mass travels over the city, passing from an upwind site to a downwind site. In particular, the Stochastic Time-Inverted Lagrangian Transport (STILT) model is used here and driven by our WRF-modelled meteorological fields to obtain footprints (i.e. the potential areas of influence for signals observed at measurement stations), further used for interpreting measurement results. Combining these footprints with local knowledge of emission sources, we find evidence of CH₄ sources near Munich that are missing or underestimated in the emission inventory used. This demonstrates the potential of this data–model framework to constrain local sources and improve emission inventories. Atmospheric Chemistry and Physics, 23 (22) ISSN:1680-7375 ISSN:1680-7367
MPG.PuRe arrow_drop_down Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus PublicationsAtmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-23-14325-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert MPG.PuRe arrow_drop_down Atmospheric Chemistry and Physics (ACP)Other literature type . 2023Data sources: Copernicus PublicationsAtmospheric Chemistry and Physics (ACP)Article . 2023 . Peer-reviewedLicense: CC BYData 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-23-14325-2023&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, NetherlandsPublisher:Elsevier BV Funded by:EC | LANDMARCEC| LANDMARCBössner, Stefan; Xylia, Maria; Bilbao, Bibiana; Indriani, Siti N.; Laub, Moritz; Rahn, Eric; Virla, Luis D.; Johnson, Francis X.;Land-based mitigation technologies and practices (LMTs) reduce GHG emissions associated with land use and/or enhance terrestrial GHG sinks. This article investigates capacity gaps to successfully facilitate LMT adoption and/or scaling in the regions of Latin America, Europe, North America, sub-Saharan Africa and Southeast Asia. We look at LMTs such as agricultural land management, agroforestry, bioenergy with carbon capture and storage (BECCS), biochar, forest management, and peat/wetland management. We used a triangulation method based on literature review, an online survey, and semi-structured interviews with experts from Academia, Industry, NGOs, Local Communities and Government, to capture and analyze the most prominent capacity gaps by LMT and according to regional contexts. This approach identified ‘understanding’, ‘awareness’ and ‘economic/finance’ as the most important capacity gaps when it comes to LMT adoption and scaling across the aforementioned regions. A recommended first step for increased LMT adoption would be to address the knowledge and understanding capacity gaps, which, in turn, could help make LMTs more attractive to stakeholders. Policymakers in cooperation with other stakeholders might reflect on dedicated support policies and regulatory frameworks that level the playing field for LMTs (as compared to mitigation technologies and practices in energy and other sectors). Other good practice examples include market building for LMTs, using emerging carbon markets, designing bottom-up implementation plans in cooperation with local and Indigenous Peoples, increased ecosystems services payments and taking into consideration local and traditional knowledge for successful LMT adoption and scaling. Land Use Policy, 134 ISSN:0264-8377 ISSN:1873-5754
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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.landusepol.2023.106888&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.landusepol.2023.106888&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:MDPI AG Funded by:EC | MOVINGEC| MOVINGKamar Habli; Diana E. Dumitras; Emilia Schmitt; Isabella Maglietti Smith; Dominique Barjolle;The circular economy (CE) has shown promise for achieving several of the UN’s Sustainable Development Goals, replacing the linear system and reducing negative impacts on the environment. This research aims to assess the effective adoption of CE principles in three cheeses with geographical indication (GI) through an analysis of the practices identified in their respective value chains. Qualitative interviews show the persistence of historical practices that preserve the heritage behind the product, maintain autonomy in relation to external inputs and save energy or make intelligent use of by-products. Radical adoption of CE principles requires innovation to reduce the use of new inputs and greenhouse gas emissions. GI food products are generally not constrained by standards beyond those set by law, but their specifications can be modified, while respecting practices consistent with the link to the terroir. However, the remoteness of small businesses in deep rural areas, far from research centers, is slowing down the transfer of knowledge and the adoption of the latest technologies, particularly in mountainous areas. More participatory research and innovative initiatives are needed to ensure the transition to a circular economy for traditional mountain products, which are strongly linked to local culinary traditions and cultural identity. Foods, 12 (21) ISSN:2304-8158
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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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/foods12213954&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average 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://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/foods12213954&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 SwitzerlandPublisher:Frontiers Media SA Funded by:EC | REINFORCEEC| REINFORCELaurin Hillebrand; Laurin Hillebrand; Sebastian Marzini; Sebastian Marzini; Alice Crespi; Ulrike Hiltner; Ulrike Hiltner; Marco Mina;handle: 20.500.11850/637157
Protection forests play a key role in protecting settlements, people, and infrastructures from gravitational hazards such as rockfalls and avalanches in mountain areas. Rapid climate change is challenging the role of protection forests by altering their dynamics, structure, and composition. Information on local- and regional-scale impacts of climate change on protection forests is critical for planning adaptations in forest management. We used a model of forest dynamics (ForClim) to assess the succession of mountain forests in the Eastern Alps and their protective effects under future climate change scenarios. We investigated eleven representative forest sites along an elevational gradient across multiple locations within an administrative region, covering wide differences in tree species structure, composition, altitude, and exposition. We evaluated protective performance against rockfall and avalanches using numerical indices (i.e., linker functions) quantifying the degree of protection from metrics of simulated forest structure and composition. Our findings reveal that climate warming has a contrasting impact on protective effects in mountain forests of the Eastern Alps. Climate change is likely to not affect negatively all protection forest stands but its impact depends on site and stand conditions. Impacts were highly contingent to the magnitude of climate warming, with increasing criticality under the most severe climate projections. Forests in lower-montane elevations and those located in dry continental valleys showed drastic changes in forest structure and composition due to drought-induced mortality while subalpine forests mostly profited from rising temperatures and a longer vegetation period. Overall, avalanche protection will likely be negatively affected by climate change, while the ability of forests to maintain rockfall protection depends on the severity of expected climate change and their vulnerability due to elevation and topography, with most subalpine forests less prone to loosing protective effects. Proactive measures in management should be taken in the near future to avoid losses of protective effects in the case of severe climate change in the Alps. Given the heterogeneous impact of climate warming, such adaptations can be aided by model-based projections and high local resolution studies to identify forest stand types that might require management priority for maintaining protective effects in the future. Frontiers in Forests and Global Change, 6 ISSN:2624-893X
Frontiers in Forests... arrow_drop_down 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 gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Frontiers in Forests... arrow_drop_down 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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2023 United Kingdom, Germany, Denmark, Italy, France, Belgium, France, Italy, Sweden, Finland, Netherlands, Denmark, Belgium, SwitzerlandPublisher:Springer Science and Business Media LLC Funded by:EC | SUPER-GEC| SUPER-GMingjuanXie 1; 2; 3; 4; 5; 63; Xiaofei Ma 1; 63; YuangangWang 1; 3; Chaofan Li 6; Haiyang Shi 7; XiuliangYuan1; Olaf Hellwich8; Chunbo Chen1; WenqiangZhang 1; 2; 3; 4; 5; Chen Zhang 1; 3; Qing Ling 1; 3; RuixiangGao 1; 3; Yu Zhang 1; 2; 3; 4; 5; Friday Uchenna Ochege 1; 9; Amaury Frankl 2; Philippe De Maeyer1; 2; 3; 4; 5; Nina Buchmann 10; Iris Feigenwinter10; Jørgen E. Olesen 11; Radoslaw Juszczak12; Adrien Jacotot 13; Aino Korrensalo14; 15; Andrea Pitacco 16; AndrejVarlagin 17; Ankit Shekhar 10; Annalea Lohila 18; 19; Arnaud Carrara 20; Aurore Brut21; Bart Kruijt 22; Benjamin Loubet23; Bernard Heinesch24; Bogdan Chojnicki12; Carole Helfter 25; CarolineVincke26; Changliang Shao27; Christian Bernhofer 28; Christian Brümmer 29; ChristianWille 30; Eeva-StiinaTuittila 31; Eiko Nemitz25; Franco Meggio 16; Gang Dong32; Gary Lanigan33; Georg Niedrist 34; GeorgWohlfahrt 35; GuoyiZhou36; IgnacioGoded 37; ThomasGruenwald 28; Janusz Olejnik 38; Joachim Jansen 39; Johan Neirynck 40; Juha-PekkaTuovinen 18; JunhuiZhang41; Katja Klumpp 42; Kim Pilegaard43; Ladislav ?igut 44; Leif Klemedtsson 45; LucaTezza 16; Lukas Hörtnagl 10; Marek Urbaniak 38; Marilyn Roland 46; Marius Schmidt 47; MarkA. Sutton25; Markus Hehn28; Matthew Saunders 48; Matthias Mauder28; MikaAurela 18; Mika Korkiakoski 18; Mingyuan Du 49; NadiaVendrame 50; Natalia Kowalska 44; PaulG. Leahy 51; PavelAlekseychik52; Peili Shi 53; PerWeslien 45; Shiping Chen54; Silvano Fares 55; Thomas Friborg 56; TiphaineTallec21; Tomomichi Kato 57; Torsten Sachs 30; Trofm Maximov58; Umberto Morra di Cella59; Uta Moderow 28; Yingnian Li 60; Yongtao He53; Yoshiko Kosugi61; Geping Luo;pmid: 37679357
pmc: PMC10485062
Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R²), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002–2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983–2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics. Scientific Data, 10 ISSN:2052-4463
Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentadd 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 gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesInstitutional Repository Universiteit AntwerpenArticle . 2023Data sources: Institutional Repository Universiteit AntwerpenOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentadd 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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