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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Oxford University Press (OUP) Funded by:EC | FORWARDEC| FORWARDAuthors: Christian Schattenberg; Ana Stritih; Dominik Thom;Christian Schattenberg; Ana Stritih; Dominik Thom;Abstract Adaptive forest management gains importance as climate and disturbance regimes continue to change. Norway spruce monocultures are particularly vulnerable to those changes. Thus, there is a strong demand to convert pure spruce stands toward better adapted forest ecosystems. Silver fir has similar wood properties as Norway spruce, but is less vulnerable to droughts. Yet, little is known how to efficiently admix silver fir into Norway spruce monocultures. We analyzed seedling abundance in mature Norway spruce monocultures 1 year after soil scarification and silver fir seeding in a relatively dry region of southern Germany. Our objectives were to study the effect of soil scarification and seeding on regeneration density and to identify drivers of seedling abundance. We collected data on regeneration, forest structure, as well as soil and light conditions at 103 scarified and 25 untreated control plots. We used non-parametric independence tests to compare scarified and untreated plots. Subsequently, we used boosted regression trees to investigate the drivers of seedling abundance. Norway spruce strongly benefited from soil scarification (P < .001), with seedling numbers even exceeding those of silver fir. Both species thrived in soils with high plant available water capacity. In contrast, seedling numbers were overall negatively affected by light. Moreover, we found a higher density of silver fir regeneration at greater distance from neighboring trees and in soils devoid of carbonate. Our study indicates that water, not light, is the limiting factor for both Norway spruce and silver fir seedlings in the study region. Seeding silver fir will likely be most effective underneath an intact canopy on deep, fine-textured soils without carbonate, while maximizing the distance to Norway spruce trees. In conclusion, silver fir seeding can be optimized to become an effective adaptive measure to diversify Norway spruce monocultures, and thus to create more resistant and resilient forest ecosystems.
Forestry An Internat... arrow_drop_down Forestry An International Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: OUP Standard Publication ReuseData 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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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=10.1093/forestry/cpad069&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Forestry An Internat... arrow_drop_down Forestry An International Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: OUP Standard Publication ReuseData 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=10.1093/forestry/cpad069&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | GlacialLegacyEC| GlacialLegacyRamesh Glückler; Josias Gloy; Elisabeth Dietze; Ulrike Herzschuh; Stefan Kruse;Abstract Background Wildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters. Results Simulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium-intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer. Conclusion With its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.
Göttingen Research O... arrow_drop_down Göttingen Research Online PublicationsArticle . 2024Data sources: Göttingen Research Online Publicationsadd 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 Göttingen Research O... arrow_drop_down Göttingen Research Online PublicationsArticle . 2024Data sources: Göttingen Research Online Publicationsadd 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 Research , Other literature type 2024 EnglishPublisher:German Institute of Development and Sustainability (IDOS) Funded by:EC | PRODIGEESEC| PRODIGEESAuthors: Breuer, Anita;Breuer, Anita;doi: 10.23661/idp2.2024
handle: 10419/283129
Equal access to reliable information is essential for democracy and social cohesion. The rise of information pollution, particularly in digital spaces, poses significant challenges to democratic societies worldwide. While extensive research has focused on its impact in developed, English-speaking democracies, there is a gap in understanding its effects in younger democracies, conflict zones, and less developed contexts. This study fills that gap by analysing Mexico as a case study. Based on interviews with Mexican media professionals, public sector officials, academics and human rights defenders, the study provides insights on the root causes of the problem and and strategies to combat information pollution, safeguard democracy, and promote social cohesion, underscoring the urgency of proactive measures both within Mexico and on a global scale in Mexico, information pollution significantly threatens the country's social cohesion and democratic principles. Structural conditions like poverty, inequality, violence, corruption, and media landscape issues enable societal vulnerability to digital information pollution. Factors directly driving information pollution include the exploitation of digital spaces by drug cartels, divisive narratives against marginalised groups, an increasingly media-hostile environment as well as the incumbent government’s post-factual approach to reality and politics. Information pollution has fostered a polarised discours, contributed to eroding trust in traditional media and amplified identity-based societal cleavages. It weakens the deliberative, participatory and liberal dimensions of democracy dimensions by decreasing the quality of public debate, damaging civil society watchdog roles, and reducing government transparency and accountability. Recommendations for Mexico encompass enhancing public resilience to information through civic education and targeted communication campaigns, empowering media capacity, and fortifying an open data culture in the Mexican public sector. Internationally, efforts should address elite-driven information pollution by reinforcing independent accountability institutions and leveraging diplomatic and economic incentives against leaders attacking these institutions.
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.
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=10.23661/idp2.2024&type=result"></script>'); --> </script>
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.
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=10.1029/2023jg007479&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2024 GermanyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | INFACTEC| INFACTAhmed J. Afifi; Samuel T. Thiele; Aldino Rizaldy; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann;The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a significant challenge due to the subjective nature of geological mapping and the difficulty in collecting quantitative validation data. Additionally, many state-of-the-art deep learning methods are limited to 2-D image data, which is insufficient for 3-D digital outcrops, such as hyperclouds. To address these challenges, we present Tinto, a multisensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for nonstructured 3-D data like point clouds. Tinto comprises two complementary sets: 1) a real digital outcrop model from Corta Atalaya (Spain), with spectral attributes and ground-truth data and 2) a synthetic twin that uses latent features in the original datasets to reconstruct realistic spectral data (including sensor noise and processing artifacts) from the ground truth. The point cloud is dense and contains 3242964 labeled points. We used these datasets to explore the abilities of different deep learning approaches for automated geological mapping. By making Tinto publicly available, we hope to foster the development and adaptation of new deep learning tools for 3-D applications in Earth sciences. The dataset can be accessed through this link: https://doi.org/10.14278/rodare.2256 .
ROBIS arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData 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 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ROBIS arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData 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=10.1109/tgrs.2023.3340293&type=result"></script>'); --> </script>
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 2023Publisher:MDPI AG Funded by:EC | proGIregEC| proGIregSimon Stork; Bernd Pölling; Wolf Lorleberg; Rolf Morgenstern; Jan-Henning Feil;doi: 10.3390/land12122116
Nature-based solutions (NBSs) are considered sustainable, cost-efficient, and resource-efficient land-use management approaches. When analysing NBS business models, two major challenges are commonly identified as slowing down broader NBS implementation: governance and financing barriers. This explorative study aims first to test the applicability of a NBS specific business model template and, second, to provide a clustered NBS business model pilot case study collection, which enables transferable solutions for overcoming the typical implementation challenges to be derived. Methodically, this is achieved by using the Nature-based Sustainability Business Model Canvas (NB S BMC for guided interviews. Twenty-three NBS case studies from proGIreg’s four Front Runner Cities, namely Dortmund, Ningbo, Turin, and Zagreb, are examined. Pestoff’s welfare triangle enables the NBS business models to be clustered. The main business model clusters are public provision, sales, and diversified. NBSs’ governance models are very adaptable to individual NBS cases, of the independent type, and can include a huge diversity of involved stakeholders regarding their functions in the NBS implementation. Our findings highlight adaptable governance models across diverse stakeholder functions and confirm the NB S BMC as a robust framework for understanding NBS business models. These insights extend to land-use practices beyond NBSs, offering a template for innovative urban planning strategies.
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.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.
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/land12122116&type=result"></script>'); --> </script>
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 2023Publisher:Wiley Funded by:EC | MAGIC, EC | GRACEEC| MAGIC ,EC| GRACEAuthors: Andreas Kiesel; Moritz von Cossel; John Clifton‐Brown; Iris Lewandowski;Andreas Kiesel; Moritz von Cossel; John Clifton‐Brown; Iris Lewandowski;doi: 10.1111/gcbb.13105
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=10.1111/gcbb.13105&type=result"></script>'); --> </script>
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.
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=10.1111/gcbb.13105&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publication2023 GermanyPublisher:SPIE Funded by:EC | EPN-2024-RIEC| EPN-2024-RIHelbert, Jörn; Lorek, Andreas; Maturilli, Alessandro; Garland, Stephen Patrick; Alemanno, Giulia;doi: 10.1117/12.2678910
DLR publication serv... arrow_drop_down DLR publication serverOther literature type . Conference object . 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.
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=10.1117/12.2678910&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert DLR publication serv... arrow_drop_down DLR publication serverOther literature type . Conference object . 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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description Publicationkeyboard_double_arrow_right Article 2024Publisher:Oxford University Press (OUP) Funded by:EC | FORWARDEC| FORWARDAuthors: Christian Schattenberg; Ana Stritih; Dominik Thom;Christian Schattenberg; Ana Stritih; Dominik Thom;Abstract Adaptive forest management gains importance as climate and disturbance regimes continue to change. Norway spruce monocultures are particularly vulnerable to those changes. Thus, there is a strong demand to convert pure spruce stands toward better adapted forest ecosystems. Silver fir has similar wood properties as Norway spruce, but is less vulnerable to droughts. Yet, little is known how to efficiently admix silver fir into Norway spruce monocultures. We analyzed seedling abundance in mature Norway spruce monocultures 1 year after soil scarification and silver fir seeding in a relatively dry region of southern Germany. Our objectives were to study the effect of soil scarification and seeding on regeneration density and to identify drivers of seedling abundance. We collected data on regeneration, forest structure, as well as soil and light conditions at 103 scarified and 25 untreated control plots. We used non-parametric independence tests to compare scarified and untreated plots. Subsequently, we used boosted regression trees to investigate the drivers of seedling abundance. Norway spruce strongly benefited from soil scarification (P < .001), with seedling numbers even exceeding those of silver fir. Both species thrived in soils with high plant available water capacity. In contrast, seedling numbers were overall negatively affected by light. Moreover, we found a higher density of silver fir regeneration at greater distance from neighboring trees and in soils devoid of carbonate. Our study indicates that water, not light, is the limiting factor for both Norway spruce and silver fir seedlings in the study region. Seeding silver fir will likely be most effective underneath an intact canopy on deep, fine-textured soils without carbonate, while maximizing the distance to Norway spruce trees. In conclusion, silver fir seeding can be optimized to become an effective adaptive measure to diversify Norway spruce monocultures, and thus to create more resistant and resilient forest ecosystems.
Forestry An Internat... arrow_drop_down Forestry An International Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: OUP Standard Publication ReuseData 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=10.1093/forestry/cpad069&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Forestry An Internat... arrow_drop_down Forestry An International Journal of Forest ResearchArticle . 2024 . Peer-reviewedLicense: OUP Standard Publication ReuseData 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=10.1093/forestry/cpad069&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:Springer Science and Business Media LLC Funded by:EC | GlacialLegacyEC| GlacialLegacyRamesh Glückler; Josias Gloy; Elisabeth Dietze; Ulrike Herzschuh; Stefan Kruse;Abstract Background Wildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters. Results Simulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium-intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer. Conclusion With its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.
Göttingen Research O... arrow_drop_down Göttingen Research Online PublicationsArticle . 2024Data sources: Göttingen Research Online Publicationsadd 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=10.1186/s42408-023-00238-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Göttingen Research O... arrow_drop_down Göttingen Research Online PublicationsArticle . 2024Data sources: Göttingen Research Online Publicationsadd 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=10.1186/s42408-023-00238-8&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Research , Other literature type 2024 EnglishPublisher:German Institute of Development and Sustainability (IDOS) Funded by:EC | PRODIGEESEC| PRODIGEESAuthors: Breuer, Anita;Breuer, Anita;doi: 10.23661/idp2.2024
handle: 10419/283129
Equal access to reliable information is essential for democracy and social cohesion. The rise of information pollution, particularly in digital spaces, poses significant challenges to democratic societies worldwide. While extensive research has focused on its impact in developed, English-speaking democracies, there is a gap in understanding its effects in younger democracies, conflict zones, and less developed contexts. This study fills that gap by analysing Mexico as a case study. Based on interviews with Mexican media professionals, public sector officials, academics and human rights defenders, the study provides insights on the root causes of the problem and and strategies to combat information pollution, safeguard democracy, and promote social cohesion, underscoring the urgency of proactive measures both within Mexico and on a global scale in Mexico, information pollution significantly threatens the country's social cohesion and democratic principles. Structural conditions like poverty, inequality, violence, corruption, and media landscape issues enable societal vulnerability to digital information pollution. Factors directly driving information pollution include the exploitation of digital spaces by drug cartels, divisive narratives against marginalised groups, an increasingly media-hostile environment as well as the incumbent government’s post-factual approach to reality and politics. Information pollution has fostered a polarised discours, contributed to eroding trust in traditional media and amplified identity-based societal cleavages. It weakens the deliberative, participatory and liberal dimensions of democracy dimensions by decreasing the quality of public debate, damaging civil society watchdog roles, and reducing government transparency and accountability. Recommendations for Mexico encompass enhancing public resilience to information through civic education and targeted communication campaigns, empowering media capacity, and fortifying an open data culture in the Mexican public sector. Internationally, efforts should address elite-driven information pollution by reinforcing independent accountability institutions and leveraging diplomatic and economic incentives against leaders attacking these institutions.
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=10.23661/idp2.2024&type=result"></script>'); --> </script>
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.
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=10.23661/idp2.2024&type=result"></script>'); --> </script>
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.
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=10.1029/2023jg007479&type=result"></script>'); --> </script>
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.
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=10.1029/2023jg007479&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Preprint 2024 GermanyPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:EC | INFACTEC| INFACTAhmed J. Afifi; Samuel T. Thiele; Aldino Rizaldy; Sandra Lorenz; Pedram Ghamisi; Raimon Tolosana-Delgado; Moritz Kirsch; Richard Gloaguen; Michael Heizmann;The increasing use of deep learning techniques has reduced interpretation time and, ideally, reduced interpreter bias by automatically deriving geological maps from digital outcrop models. However, accurate validation of these automated mapping approaches is a significant challenge due to the subjective nature of geological mapping and the difficulty in collecting quantitative validation data. Additionally, many state-of-the-art deep learning methods are limited to 2-D image data, which is insufficient for 3-D digital outcrops, such as hyperclouds. To address these challenges, we present Tinto, a multisensor benchmark digital outcrop dataset designed to facilitate the development and validation of deep learning approaches for geological mapping, especially for nonstructured 3-D data like point clouds. Tinto comprises two complementary sets: 1) a real digital outcrop model from Corta Atalaya (Spain), with spectral attributes and ground-truth data and 2) a synthetic twin that uses latent features in the original datasets to reconstruct realistic spectral data (including sensor noise and processing artifacts) from the ground truth. The point cloud is dense and contains 3242964 labeled points. We used these datasets to explore the abilities of different deep learning approaches for automated geological mapping. By making Tinto publicly available, we hope to foster the development and adaptation of new deep learning tools for 3-D applications in Earth sciences. The dataset can be accessed through this link: https://doi.org/10.14278/rodare.2256 .
ROBIS arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData 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=10.1109/tgrs.2023.3340293&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert ROBIS arrow_drop_down IEEE Transactions on Geoscience and Remote SensingArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData 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 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 2023Publisher:MDPI AG Funded by:EC | proGIregEC| proGIregSimon Stork; Bernd Pölling; Wolf Lorleberg; Rolf Morgenstern; Jan-Henning Feil;doi: 10.3390/land12122116
Nature-based solutions (NBSs) are considered sustainable, cost-efficient, and resource-efficient land-use management approaches. When analysing NBS business models, two major challenges are commonly identified as slowing down broader NBS implementation: governance and financing barriers. This explorative study aims first to test the applicability of a NBS specific business model template and, second, to provide a clustered NBS business model pilot case study collection, which enables transferable solutions for overcoming the typical implementation challenges to be derived. Methodically, this is achieved by using the Nature-based Sustainability Business Model Canvas (NB S BMC for guided interviews. Twenty-three NBS case studies from proGIreg’s four Front Runner Cities, namely Dortmund, Ningbo, Turin, and Zagreb, are examined. Pestoff’s welfare triangle enables the NBS business models to be clustered. The main business model clusters are public provision, sales, and diversified. NBSs’ governance models are very adaptable to individual NBS cases, of the independent type, and can include a huge diversity of involved stakeholders regarding their functions in the NBS implementation. Our findings highlight adaptable governance models across diverse stakeholder functions and confirm the NB S BMC as a robust framework for understanding NBS business models. These insights extend to land-use practices beyond NBSs, offering a template for innovative urban planning strategies.
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 , 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.
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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.
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 2023Publisher:Wiley Funded by:EC | MAGIC, EC | GRACEEC| MAGIC ,EC| GRACEAuthors: Andreas Kiesel; Moritz von Cossel; John Clifton‐Brown; Iris Lewandowski;Andreas Kiesel; Moritz von Cossel; John Clifton‐Brown; Iris Lewandowski;doi: 10.1111/gcbb.13105
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.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 Publication2023 GermanyPublisher:SPIE Funded by:EC | EPN-2024-RIEC| EPN-2024-RIHelbert, Jörn; Lorek, Andreas; Maturilli, Alessandro; Garland, Stephen Patrick; Alemanno, Giulia;doi: 10.1117/12.2678910
DLR publication serv... arrow_drop_down DLR publication serverOther literature type . Conference object . 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert DLR publication serv... arrow_drop_down DLR publication serverOther literature type . Conference object . 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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