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description Publicationkeyboard_double_arrow_right Article 2022 Belgium, NetherlandsPublisher:Peer Community In Funded by:EC | SusAnEC| SusAnAdriaens, Ines; Ouweltjes, Wijbrand; Pastell, Matti; Ellen, Esther; Kamphuis, Claudia;In precision livestock farming, technology-based solutions are used to monitor and manage livestock and support decisions based on on-farm available data. In this study, we developed a methodology to monitor the lying behaviour of dairy cows using noisy spatial positioning data, thereby combining time-series segmentation based on statistical changepoints and a machine learning classification algorithm using bagged decision trees. Position data (x, y, z -coordinates) collected with an ultra-wide band positioning system from 30 dairy cows housed in a freestall barn were used. After the data pre-processing and selection, statistical changepoints were detected per cow-day (no. included = 331) in normalized 'distance from the centre of the barn' and (z) time series. Accelerometer-based lying bout data were used as a practical ground truth. For the segmentation, changepoint detection was compared with getting-up or lying-down events as indicated by the accelerometers. For the classification of segments into lying or non-lying behaviour, two data splitting techniques resulting in 2 different training and test sets were implemented to train and evaluate performance: one based on the data collection day and one based on cow identity. In 85.5% of the lying-down or getting-up events a changepoint was detected in a window of 5 minutes. Of the events where no detection had taken place, 86.2% could be associated with either missing data (large gaps) or a very short lying or non-lying bout. Overall classification and lying behaviour prediction performance was above 91% in both independent test sets, with a very high consistency across cow-days. Per cow-day, the average error in the estimation of the lying durations were 7.1% and 7.8% for the cow-identity and time-based data splits respectively. This resulted in sufficient accuracy for automated quantification of lying behaviour in dairy cows, for example for health or welfare monitoring purposes. ispartof: Peer Community Journal vol:2 status: published
NARCIS; Research@WUR 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 gold 2 citations 2 popularity Top 10% influence Top 10% impulse Average Powered by BIP!visibility 122visibility views 122 download downloads 89 Powered bymore_vert NARCIS; Research@WUR 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.
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=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, Italy, Netherlands, Sweden, Norway, Belgium, SwitzerlandPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCARERudi Hessel; Guido Wyseure; Ioanna S. Panagea; Abdallah Alaoui; Mark S. Reed; Hedwig van Delden; Melanie Muro; Jane Mills; Oene Oenema; Francisco Areal; Erik van den Elsen; Simone Verzandvoort; Falentijn Assinck; Annemie Elsen; Jerzy Lipiec; Aristeidis Koutroulis; Lilian O’Sullivan; Martin A. Bolinder; Luuk Fleskens; Ellen Kandeler; Luca Montanarella; Marius Heinen; Zoltan Toth; Moritz Hallama; Julián Cuevas; Jantiene E. M. Baartman; Ilaria Piccoli; Tommy Dalgaard; Jannes Stolte; Jasmine E. Black; Charlotte-Anne Chivers;doi: 10.3390/land11060780
handle: 11577/3462064 , 11250/3039583
Soils form the basis for agricultural production and other ecosystem services, and soil management should aim at improving their quality and resilience. Within the SoilCare project, the concept of soil-improving cropping systems (SICS) was developed as a holistic approach to facilitate the adoption of soil management that is sustainable and profitable. SICS selected with stakeholders were monitored and evaluated for environmental, sociocultural, and economic effects to determine profitability and sustainability. Monitoring results were upscaled to European level using modelling and Europe-wide data, and a mapping tool was developed to assist in selection of appropriate SICS across Europe. Furthermore, biophysical, sociocultural, economic, and policy reasons for (non)adoption were studied. Results at the plot/farm scale showed a small positive impact of SICS on environment and soil, no effect on sustainability, and small negative impacts on economic and sociocultural dimensions. Modelling showed that different SICS had different impacts across Europe—indicating the importance of understanding local dynamics in Europe-wide assessments. Work on adoption of SICS confirmed the role economic considerations play in the uptake of SICS, but also highlighted social factors such as trust. The project’s results underlined the need for policies that support and enable a transition to more sustainable agricultural practices in a coherent way. ispartof: Land vol:11 issue:6 article-number: 780 status: published
Archivio istituziona... arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2073-445X/11/6/780/pdfRecolector de Ciencia Abierta, RECOLECTA; riUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2022License: CC BY NC NDFull-Text: https://www.mdpi.com/2073-445X/11/6/780Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11060780&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 18visibility views 18 download downloads 28 Powered bymore_vert Archivio istituziona... arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2073-445X/11/6/780/pdfRecolector de Ciencia Abierta, RECOLECTA; riUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2022License: CC BY NC NDFull-Text: https://www.mdpi.com/2073-445X/11/6/780Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11060780&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Switzerland, Belgium, NetherlandsPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCAREAlaoui, Abdallah; Hallama, Moritz; Bär, Roger; Panagea, Ioanna; Bachmann, Felicitas; Pekrun, Carola; Fleskens, Luuk; Kandeler, Ellen; Hessel, Rudi;ispartof: Land vol:11 issue:5 status: published
NARCIS; Research@WUR arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/729/pdfBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11050729&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/729/pdfBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11050729&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, BelgiumPublisher:Elsevier BV Funded by:EC | SIMRA, EC | PyroLifeEC| SIMRA ,EC| PyroLifeAuthors: Rodríguez Fernández-Blanco, Carmen; Górriz-Mifsud, Elena; Prokofieva, Irina; Muys, Bart; +1 AuthorsRodríguez Fernández-Blanco, Carmen; Górriz-Mifsud, Elena; Prokofieva, Irina; Muys, Bart; Parra, Constanza;Mediterranean territories have co-evolved and been shaped by fire throughout history. However, global environmental change conditions are increasing the size, intensity and severity of wildfires, which have gone from a regular natural disturbance to a serious threat for civil protection, surpassing firefighting capacities. Therefore, building resilience in fire-prone territories is an increasingly relevant policy and management objective. However, the notion of resilience has been criticized for paying insufficient attention to key social issues such as socio-political dynamics, power imbalances and societal change. At the same time, social science contributions to wildfire research are still rather limited. In this paper, we bridge social innovation theory to resilience theory in order to create a territorially embedded and socially sensitive framework for assessing socio-ecological resilience. From this perspective, we then examine how Forest Defence Groups (ADFs, by their Catalan acronym) have evolved from grassroots, bottom-up initiatives to well-established bottom-linked institutions and we evaluate their contributions to socio-ecological resilience in the territories where they operate. Our results show that ADFs contribute in several aspects to socio-ecological resilience and that the pave the way for opening up spaces of dialogue and collaboration through which local communities can engage with the issues that directly affect them, such as wildfires. ispartof: FOREST POLICY AND ECONOMICS vol:138 ispartof: location:Netherlands status: published
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Forest Policy and EconomicsOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMadd 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.forpol.2022.102719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Forest Policy and EconomicsOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMadd 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.forpol.2022.102719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 BelgiumPublisher:MDPI AG Funded by:EC | DAFNEEC| DAFNEMulenga Kalumba; Stefaan Dondeyne; Eline Vanuytrecht; Edwin Nyirenda; Jos Van Orshoven;doi: 10.3390/land11050618
handle: 1854/LU-8750888
Soil maps can usefully serve in data scarce regions, for example for yield (gap) assessments using a crop simulation model. The soil property estimates’ contribution to inaccuracy and uncertainty can be functionally evaluated by comparing model results using the estimates as input against independent observations. We conducted a functional evaluation of digital maps of soil hydraulic properties of the Zambezi River Basin using a crop growth model AquaCrop. AquaCrop was run, alimented with local meteorological data, and with soil hydraulic properties derived from the digital maps of digital soil mapping (DSM) techniques, as opposed to estimations from the widely used Saxton and Rawls pedotransfer functions. The two simulated time series of canopy cover (CC) (AquaCrop-CC-DSM and AquaCrop-CC-Saxton), which were compared against canopy cover data derived from the remotely sensed Leaf Area Index (LAI) from the MODIS archive (MODIS-CC). A pairwise comparison of the time series resulted in a root mean squared error (RMSE) of 0.07 and a co-efficient of determination (R2) of 0.93 for AquaCrop-CC-DSM versus MODIS-CC, and an RMSE of 0.08 and R2 of 0.88 for AquaCrop-CC-Saxton versus MODIS-CC. In dry years, the AquaCrop-CC-DSM deviated less from the MODIS-CC than the AquaCrop-CC-Saxton (p < 0.001), although this difference was not significant in wet years. The functional evaluation showed that soil hydraulic property estimates based on digital soil mapping outperformed those based on Saxton and Rawls when used for simulating crop growth in dry years in the Zambezi River Basin. This study also shows the value of conducting a functional evaluation of estimated (static) soil hydraulic properties in terms of dynamic model output. ispartof: Land vol:11 issue:5 status: Published online
Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/618/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11050618&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 Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/618/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11050618&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 BelgiumPublisher:MDPI AG Funded by:EC | DAFNEEC| DAFNEMulenga Kalumba; Edwin Nyirenda; Imasiku Nyambe; Stefaan Dondeyne; Jos Van Orshoven;doi: 10.3390/land11040591
handle: 1854/LU-8750025
It is critical to produce more crop per drop in an environment where water availability is decreasing and competition for water is increasing. In order to build such agricultural production systems, well parameterized crop growth models are essential. While in most crop growth modeling research, focus is on gathering model inputs such as climate data, less emphasis is paid to collecting the critical soil hydraulic properties (SHPs) data needed to operate crop growth models. Collection of SHPs data for the Zambezi River Basin (ZRB) is extremely labor‐intensive and expensive, thus alternate technologies such as digital soil mapping (DSM) must be explored. We evaluated five types of DSM models to establish the best spatially explicit estimates of the soil water content at pF0.0 (saturation), pF2.0 (field capacity), and pF4.2 (wilting point), and of the saturated hydraulic conductivity (Ksat) across the ZRB by using estimates of locally calibrated pedotransfer functions of 1481 locations for training and testing the DSM models, as well as a reference dataset of measurements from 174 locations for validating the DSM models. We produced coverages of environmental covariates from various source datasets, including climate variables, soil and land use maps, parent materials and lithologic units, derivatives of a digital elevation model (DEM), and Landsat imagery with a spatial resolution of 90 m. The five types of models included multiple linear regression and four machine learning techniques: artificial neural network, gradient boosted regression trees, random forest, and support vector machine. Where the residuals of the initial DSM models were spatially autocorrelated, the models were extended/complemented with residual kriging (RK). Spatial autocorrelation in the model residuals was observed for all five models of each of the three water contents, but not for Ksat. On average for the water content, the R2 ranged from 0.40 to 0.80 in training and test datasets before adding kriged model residuals and ranged from 0.80 to 0.95 after adding model residuals. Overall, the best prediction method consisted of random forest as the deterministic model, complemented with RK, whereby soil texture followed by climate and topographic elevation variables were the most important covariates. The resulting maps are a ready‐to‐use resource for hydrologists and crop modelers to aliment and calibrate their hydrological and crop growth models. ispartof: Land vol:11 issue:4 status: Published online
Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/4/591/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11040591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/4/591/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11040591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022 Italy, BelgiumPublisher:Copernicus GmbH Funded by:EC | SOILCAREEC| SOILCAREI. S. Panagea; A. Apostolakis; A. Berti; J. Bussell; P. Čermak; J. Diels; A. Elsen; H. Kusá; I. Piccoli; J. Poesen; J. Poesen; C. Stoate; M. Tits; Z. Toth; G. Wyseure;Inversion tillage is a commonly applied soil cultivation practice in Europe, which often has been blamed for deteriorating topsoil stability and organic carbon (OC) content. In this study, the potential to reverse these negative effects in the topsoil by alternative agricultural management practices are evaluated in seven long-term experiments (running from 8 to 54 years the moment of sampling) in five European countries (Belgium, Czech Republic, Hungary, Italy and UK). Topsoil samples (0–15 cm) were collected and analysed to evaluate the effects of conservation tillage (reduced and no tillage) and increased organic inputs of different origin (farmyard manure, compost, crop residues) combined with inversion tillage on topsoil stability, soil aggregates and, within these, OC distribution using wet sieving after slaking. Effects from the treatments on the two main components of organic matter, i.e. particulate (POM) and mineral associated (MAOM), were also evaluated using dispersion and size fractionation. Reduced and no-tillage practices, as well as the additions of manure or compost, increased the aggregates mean weight diameter (MWD) (up to 49 % at the Belgian study site) and topsoil OC (up to 51 % at the Belgian study site), as well as the OC corresponding to the different aggregate size fractions. The incorporation of crop residues had a positive impact on the MWD but a less profound effect both on total OC and on OC associated with the different aggregates. A negative relationship between the mass and the OC content of the microaggregates (53–250 µm) was identified in all experiments. There was no effect on the mass of the macroaggregates and the occluded microaggregates (mM) within these macroaggregates, while the corresponding OC contents increased with less tillage and more organic inputs. Inversion tillage led to less POM within the mM, whereas the different organic inputs did not affect it. In all experiments where the total POM increased, the total soil organic carbon (SOC) was also affected positively. We concluded that the negative effects of inversion tillage on topsoil can be mitigated by reducing the tillage intensity or adding organic materials, optimally combined with non-inversion tillage methods. ispartof: Soil vol:8 issue:2 pages:621-644 status: Published online
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; SOILArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/soil-2...Preprint . 2022 . 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/soil-2022-28&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 Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; SOILArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/soil-2...Preprint . 2022 . 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/soil-2022-28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Italy, Belgium, Netherlands, Denmark, France, BelgiumPublisher:Elsevier BV Funded by:EC | FUNDIVEUROPEEC| FUNDIVEUROPEXin Jing; Bart Muys; Lander Baeten; Helge Bruelheide; Hans De Wandeler; Ellen Desie; Stephan Hättenschwiler; Hervé Jactel; Bogdan Jaroszewicz; Tommaso Jucker; Paul Kardol; Martina Pollastrini; Sophia Ratcliffe; Michael Scherer-Lorenzen; Federico Selvi; Karen Vancampenhout; Fons van der Plas; Kris Verheyen; Lars Vesterdal; Juan Zuo; Koenraad Van Meerbeek;Tree species diversity promotes multiple ecosystem functions and services. However, little is known about how above- and belowground resource availability (light, nutrients, and water) and resource uptake capacity mediate tree species diversity effects on aboveground wood productivity and temporal stability of productivity in European forests and whether the effects differ between humid and arid regions. We used the data from six major European forest types along a latitudinal gradient to address those two questions. We found that neither leaf area index (a proxy for light uptake capacity), nor fine root biomass (a proxy for soil nutrient and water uptake capacity) was related to tree species richness. Leaf area index did, however, enhance productivity, but negatively affected stability. Productivity was further promoted by soil nutrient availability, while stability was enhanced by fine root biomass. We only found a positive effect of tree species richness on productivity in arid regions and a positive effect on stability in humid regions. This indicates a possible disconnection between productivity and stability regarding tree species richness effects. In other words, the mechanisms that drive the positive effects of tree species richness on productivity do not per se benefit stability simultaneously. Our findings therefore suggest that tree species richness effects are largely mediated by differences in climatic conditions rather than by differences in above- and belowground resource availability and uptake capacity at the regional scales. ispartof: SCIENCE OF THE TOTAL ENVIRONMENT vol:812 ispartof: location:Netherlands status: published
Mémoires en Sciences... arrow_drop_down Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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.scitotenv.2021.152560&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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.scitotenv.2021.152560&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, Italy, Switzerland, Norway, SwedenPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCAREPiccoli, Ilaria; Seehusen, Till; Bussell, Jenny; Vizitu, Olga; Claciu, Irina; Berti, Antonio; B��rjesson, Gunnar; Kirchmann, Holger; K��tterer, Thomas; Sartori, Felice; Chris, Stoate; Crotty, Felicity; Panagea, Ioanna S.; Alaoui, Abdallah; Bolinder, Martin A.;handle: 11577/3462067 , 11250/3007222
ispartof: LAND vol:11 issue:2 status: published
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; ZENODO; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11020223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 21visibility views 21 download downloads 26 Powered bymore_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; ZENODO; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11020223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 BelgiumPublisher:Royal Society of Chemistry (RSC) Funded by:EC | PLATIRUSEC| PLATIRUSNick Gys; Bram Pawlak; Léon Luntadila Lufungula; Kristof Marcoen; Kenny Wyns; Kitty Baert; Thomas Abo Atia; Jeroen Spooren; Peter Adriaensens; Frank Blockhuys; Tom Hauffman; Vera Meynen; Steven Mullens; Bart Michielsen;Modification of metal oxides with organophosphonic acids (PAs) provides the ability to control and tailor the surface properties. The metal oxide phosphonic acid bond (M-O-P) is known to be stable under harsh conditions, making PAs a promising candidate for the recovery of metals from complex acidic leachates. The thiol functional group is an excellent regenerable scavenging group for these applications. However, the research on organophosphonic acid grafting with thiol groups is very limited. In this study, four different metal sorbent materials were designed with different thiol surface coverages. An aqueous-based grafting of 3-mercaptopropylphosphonic acid (3MPPA) on mesoporous TiO2 was employed. Surface grafted thiol groups could be obtained in the range from 0.9 to 1.9 groups per nm2. The different obtained surface properties were studied and correlated to the Pd adsorption performance. High Pd/S adsorption efficiencies were achieved, indicating the presence of readily available sorption sites. A large difference in their selectivity towards Pd removal from a spend automotive catalyst leachate was observed due to the co-adsorption of Fe on the titania support. The highest surface coverage showed the highest selectivity (K d: 530 mL g-1) and adsorption capacity (Q max: 0.32 mmol g-1) towards Pd, while strongly reducing the co-adsorption of Fe on remaining TiO2 sites. ispartof: RSC ADVANCES vol:12 issue:55 pages:36046-36062 ispartof: location:England status: published
Lirias arrow_drop_down Vrije Universiteit Brussel Research PortalArticle . 2022Data sources: Vrije Universiteit Brussel Research Portaladd 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=10.1039/d2ra07214a&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 Lirias arrow_drop_down Vrije Universiteit Brussel Research PortalArticle . 2022Data sources: Vrije Universiteit Brussel Research Portaladd 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=10.1039/d2ra07214a&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article 2022 Belgium, NetherlandsPublisher:Peer Community In Funded by:EC | SusAnEC| SusAnAdriaens, Ines; Ouweltjes, Wijbrand; Pastell, Matti; Ellen, Esther; Kamphuis, Claudia;In precision livestock farming, technology-based solutions are used to monitor and manage livestock and support decisions based on on-farm available data. In this study, we developed a methodology to monitor the lying behaviour of dairy cows using noisy spatial positioning data, thereby combining time-series segmentation based on statistical changepoints and a machine learning classification algorithm using bagged decision trees. Position data (x, y, z -coordinates) collected with an ultra-wide band positioning system from 30 dairy cows housed in a freestall barn were used. After the data pre-processing and selection, statistical changepoints were detected per cow-day (no. included = 331) in normalized 'distance from the centre of the barn' and (z) time series. Accelerometer-based lying bout data were used as a practical ground truth. For the segmentation, changepoint detection was compared with getting-up or lying-down events as indicated by the accelerometers. For the classification of segments into lying or non-lying behaviour, two data splitting techniques resulting in 2 different training and test sets were implemented to train and evaluate performance: one based on the data collection day and one based on cow identity. In 85.5% of the lying-down or getting-up events a changepoint was detected in a window of 5 minutes. Of the events where no detection had taken place, 86.2% could be associated with either missing data (large gaps) or a very short lying or non-lying bout. Overall classification and lying behaviour prediction performance was above 91% in both independent test sets, with a very high consistency across cow-days. Per cow-day, the average error in the estimation of the lying durations were 7.1% and 7.8% for the cow-identity and time-based data splits respectively. This resulted in sufficient accuracy for automated quantification of lying behaviour in dairy cows, for example for health or welfare monitoring purposes. ispartof: Peer Community Journal vol:2 status: published
NARCIS; Research@WUR 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.
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=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 2 citations 2 popularity Top 10% influence Top 10% impulse Average Powered by BIP!visibility 122visibility views 122 download downloads 89 Powered bymore_vert NARCIS; Research@WUR 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.
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=10.24072/pcjournal.167&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, Italy, Netherlands, Sweden, Norway, Belgium, SwitzerlandPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCARERudi Hessel; Guido Wyseure; Ioanna S. Panagea; Abdallah Alaoui; Mark S. Reed; Hedwig van Delden; Melanie Muro; Jane Mills; Oene Oenema; Francisco Areal; Erik van den Elsen; Simone Verzandvoort; Falentijn Assinck; Annemie Elsen; Jerzy Lipiec; Aristeidis Koutroulis; Lilian O’Sullivan; Martin A. Bolinder; Luuk Fleskens; Ellen Kandeler; Luca Montanarella; Marius Heinen; Zoltan Toth; Moritz Hallama; Julián Cuevas; Jantiene E. M. Baartman; Ilaria Piccoli; Tommy Dalgaard; Jannes Stolte; Jasmine E. Black; Charlotte-Anne Chivers;doi: 10.3390/land11060780
handle: 11577/3462064 , 11250/3039583
Soils form the basis for agricultural production and other ecosystem services, and soil management should aim at improving their quality and resilience. Within the SoilCare project, the concept of soil-improving cropping systems (SICS) was developed as a holistic approach to facilitate the adoption of soil management that is sustainable and profitable. SICS selected with stakeholders were monitored and evaluated for environmental, sociocultural, and economic effects to determine profitability and sustainability. Monitoring results were upscaled to European level using modelling and Europe-wide data, and a mapping tool was developed to assist in selection of appropriate SICS across Europe. Furthermore, biophysical, sociocultural, economic, and policy reasons for (non)adoption were studied. Results at the plot/farm scale showed a small positive impact of SICS on environment and soil, no effect on sustainability, and small negative impacts on economic and sociocultural dimensions. Modelling showed that different SICS had different impacts across Europe—indicating the importance of understanding local dynamics in Europe-wide assessments. Work on adoption of SICS confirmed the role economic considerations play in the uptake of SICS, but also highlighted social factors such as trust. The project’s results underlined the need for policies that support and enable a transition to more sustainable agricultural practices in a coherent way. ispartof: Land vol:11 issue:6 article-number: 780 status: published
Archivio istituziona... arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2073-445X/11/6/780/pdfRecolector de Ciencia Abierta, RECOLECTA; riUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2022License: CC BY NC NDFull-Text: https://www.mdpi.com/2073-445X/11/6/780Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11060780&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 18visibility views 18 download downloads 28 Powered bymore_vert Archivio istituziona... arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: https://www.mdpi.com/2073-445X/11/6/780/pdfRecolector de Ciencia Abierta, RECOLECTA; riUAL - Repositorio Institucional de la Universidad de Almería (Spain)Article . 2022License: CC BY NC NDFull-Text: https://www.mdpi.com/2073-445X/11/6/780Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11060780&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Switzerland, Belgium, NetherlandsPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCAREAlaoui, Abdallah; Hallama, Moritz; Bär, Roger; Panagea, Ioanna; Bachmann, Felicitas; Pekrun, Carola; Fleskens, Luuk; Kandeler, Ellen; Hessel, Rudi;ispartof: Land vol:11 issue:5 status: published
NARCIS; Research@WUR arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/729/pdfBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11050729&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/729/pdfBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11050729&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Spain, BelgiumPublisher:Elsevier BV Funded by:EC | SIMRA, EC | PyroLifeEC| SIMRA ,EC| PyroLifeAuthors: Rodríguez Fernández-Blanco, Carmen; Górriz-Mifsud, Elena; Prokofieva, Irina; Muys, Bart; +1 AuthorsRodríguez Fernández-Blanco, Carmen; Górriz-Mifsud, Elena; Prokofieva, Irina; Muys, Bart; Parra, Constanza;Mediterranean territories have co-evolved and been shaped by fire throughout history. However, global environmental change conditions are increasing the size, intensity and severity of wildfires, which have gone from a regular natural disturbance to a serious threat for civil protection, surpassing firefighting capacities. Therefore, building resilience in fire-prone territories is an increasingly relevant policy and management objective. However, the notion of resilience has been criticized for paying insufficient attention to key social issues such as socio-political dynamics, power imbalances and societal change. At the same time, social science contributions to wildfire research are still rather limited. In this paper, we bridge social innovation theory to resilience theory in order to create a territorially embedded and socially sensitive framework for assessing socio-ecological resilience. From this perspective, we then examine how Forest Defence Groups (ADFs, by their Catalan acronym) have evolved from grassroots, bottom-up initiatives to well-established bottom-linked institutions and we evaluate their contributions to socio-ecological resilience in the territories where they operate. Our results show that ADFs contribute in several aspects to socio-ecological resilience and that the pave the way for opening up spaces of dialogue and collaboration through which local communities can engage with the issues that directly affect them, such as wildfires. ispartof: FOREST POLICY AND ECONOMICS vol:138 ispartof: location:Netherlands status: published
Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Forest Policy and EconomicsOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMadd 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.forpol.2022.102719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Recolector de Cienci... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Forest Policy and EconomicsOther literature type . Article . 2022 . Peer-reviewedLicense: Elsevier TDMadd 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.forpol.2022.102719&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 BelgiumPublisher:MDPI AG Funded by:EC | DAFNEEC| DAFNEMulenga Kalumba; Stefaan Dondeyne; Eline Vanuytrecht; Edwin Nyirenda; Jos Van Orshoven;doi: 10.3390/land11050618
handle: 1854/LU-8750888
Soil maps can usefully serve in data scarce regions, for example for yield (gap) assessments using a crop simulation model. The soil property estimates’ contribution to inaccuracy and uncertainty can be functionally evaluated by comparing model results using the estimates as input against independent observations. We conducted a functional evaluation of digital maps of soil hydraulic properties of the Zambezi River Basin using a crop growth model AquaCrop. AquaCrop was run, alimented with local meteorological data, and with soil hydraulic properties derived from the digital maps of digital soil mapping (DSM) techniques, as opposed to estimations from the widely used Saxton and Rawls pedotransfer functions. The two simulated time series of canopy cover (CC) (AquaCrop-CC-DSM and AquaCrop-CC-Saxton), which were compared against canopy cover data derived from the remotely sensed Leaf Area Index (LAI) from the MODIS archive (MODIS-CC). A pairwise comparison of the time series resulted in a root mean squared error (RMSE) of 0.07 and a co-efficient of determination (R2) of 0.93 for AquaCrop-CC-DSM versus MODIS-CC, and an RMSE of 0.08 and R2 of 0.88 for AquaCrop-CC-Saxton versus MODIS-CC. In dry years, the AquaCrop-CC-DSM deviated less from the MODIS-CC than the AquaCrop-CC-Saxton (p < 0.001), although this difference was not significant in wet years. The functional evaluation showed that soil hydraulic property estimates based on digital soil mapping outperformed those based on Saxton and Rawls when used for simulating crop growth in dry years in the Zambezi River Basin. This study also shows the value of conducting a functional evaluation of estimated (static) soil hydraulic properties in terms of dynamic model output. ispartof: Land vol:11 issue:5 status: Published online
Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/618/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11050618&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 Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/5/618/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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 2022 BelgiumPublisher:MDPI AG Funded by:EC | DAFNEEC| DAFNEMulenga Kalumba; Edwin Nyirenda; Imasiku Nyambe; Stefaan Dondeyne; Jos Van Orshoven;doi: 10.3390/land11040591
handle: 1854/LU-8750025
It is critical to produce more crop per drop in an environment where water availability is decreasing and competition for water is increasing. In order to build such agricultural production systems, well parameterized crop growth models are essential. While in most crop growth modeling research, focus is on gathering model inputs such as climate data, less emphasis is paid to collecting the critical soil hydraulic properties (SHPs) data needed to operate crop growth models. Collection of SHPs data for the Zambezi River Basin (ZRB) is extremely labor‐intensive and expensive, thus alternate technologies such as digital soil mapping (DSM) must be explored. We evaluated five types of DSM models to establish the best spatially explicit estimates of the soil water content at pF0.0 (saturation), pF2.0 (field capacity), and pF4.2 (wilting point), and of the saturated hydraulic conductivity (Ksat) across the ZRB by using estimates of locally calibrated pedotransfer functions of 1481 locations for training and testing the DSM models, as well as a reference dataset of measurements from 174 locations for validating the DSM models. We produced coverages of environmental covariates from various source datasets, including climate variables, soil and land use maps, parent materials and lithologic units, derivatives of a digital elevation model (DEM), and Landsat imagery with a spatial resolution of 90 m. The five types of models included multiple linear regression and four machine learning techniques: artificial neural network, gradient boosted regression trees, random forest, and support vector machine. Where the residuals of the initial DSM models were spatially autocorrelated, the models were extended/complemented with residual kriging (RK). Spatial autocorrelation in the model residuals was observed for all five models of each of the three water contents, but not for Ksat. On average for the water content, the R2 ranged from 0.40 to 0.80 in training and test datasets before adding kriged model residuals and ranged from 0.80 to 0.95 after adding model residuals. Overall, the best prediction method consisted of random forest as the deterministic model, complemented with RK, whereby soil texture followed by climate and topographic elevation variables were the most important covariates. The resulting maps are a ready‐to‐use resource for hydrologists and crop modelers to aliment and calibrate their hydrological and crop growth models. ispartof: Land vol:11 issue:4 status: Published online
Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/4/591/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11040591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert Ghent University Aca... arrow_drop_down Ghent University Academic Bibliography; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYFull-Text: http://www.mdpi.com/2073-445X/11/4/591/pdfGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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/land11040591&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint , Other literature type 2022 Italy, BelgiumPublisher:Copernicus GmbH Funded by:EC | SOILCAREEC| SOILCAREI. S. Panagea; A. Apostolakis; A. Berti; J. Bussell; P. Čermak; J. Diels; A. Elsen; H. Kusá; I. Piccoli; J. Poesen; J. Poesen; C. Stoate; M. Tits; Z. Toth; G. Wyseure;Inversion tillage is a commonly applied soil cultivation practice in Europe, which often has been blamed for deteriorating topsoil stability and organic carbon (OC) content. In this study, the potential to reverse these negative effects in the topsoil by alternative agricultural management practices are evaluated in seven long-term experiments (running from 8 to 54 years the moment of sampling) in five European countries (Belgium, Czech Republic, Hungary, Italy and UK). Topsoil samples (0–15 cm) were collected and analysed to evaluate the effects of conservation tillage (reduced and no tillage) and increased organic inputs of different origin (farmyard manure, compost, crop residues) combined with inversion tillage on topsoil stability, soil aggregates and, within these, OC distribution using wet sieving after slaking. Effects from the treatments on the two main components of organic matter, i.e. particulate (POM) and mineral associated (MAOM), were also evaluated using dispersion and size fractionation. Reduced and no-tillage practices, as well as the additions of manure or compost, increased the aggregates mean weight diameter (MWD) (up to 49 % at the Belgian study site) and topsoil OC (up to 51 % at the Belgian study site), as well as the OC corresponding to the different aggregate size fractions. The incorporation of crop residues had a positive impact on the MWD but a less profound effect both on total OC and on OC associated with the different aggregates. A negative relationship between the mass and the OC content of the microaggregates (53–250 µm) was identified in all experiments. There was no effect on the mass of the macroaggregates and the occluded microaggregates (mM) within these macroaggregates, while the corresponding OC contents increased with less tillage and more organic inputs. Inversion tillage led to less POM within the mM, whereas the different organic inputs did not affect it. In all experiments where the total POM increased, the total soil organic carbon (SOC) was also affected positively. We concluded that the negative effects of inversion tillage on topsoil can be mitigated by reducing the tillage intensity or adding organic materials, optimally combined with non-inversion tillage methods. ispartof: Soil vol:8 issue:2 pages:621-644 status: Published online
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; SOILArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/soil-2...Preprint . 2022 . 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/soil-2022-28&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 Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; SOILArticle . 2022 . Peer-reviewedLicense: CC BYhttps://doi.org/10.5194/soil-2...Preprint . 2022 . 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/soil-2022-28&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Italy, Belgium, Netherlands, Denmark, France, BelgiumPublisher:Elsevier BV Funded by:EC | FUNDIVEUROPEEC| FUNDIVEUROPEXin Jing; Bart Muys; Lander Baeten; Helge Bruelheide; Hans De Wandeler; Ellen Desie; Stephan Hättenschwiler; Hervé Jactel; Bogdan Jaroszewicz; Tommaso Jucker; Paul Kardol; Martina Pollastrini; Sophia Ratcliffe; Michael Scherer-Lorenzen; Federico Selvi; Karen Vancampenhout; Fons van der Plas; Kris Verheyen; Lars Vesterdal; Juan Zuo; Koenraad Van Meerbeek;Tree species diversity promotes multiple ecosystem functions and services. However, little is known about how above- and belowground resource availability (light, nutrients, and water) and resource uptake capacity mediate tree species diversity effects on aboveground wood productivity and temporal stability of productivity in European forests and whether the effects differ between humid and arid regions. We used the data from six major European forest types along a latitudinal gradient to address those two questions. We found that neither leaf area index (a proxy for light uptake capacity), nor fine root biomass (a proxy for soil nutrient and water uptake capacity) was related to tree species richness. Leaf area index did, however, enhance productivity, but negatively affected stability. Productivity was further promoted by soil nutrient availability, while stability was enhanced by fine root biomass. We only found a positive effect of tree species richness on productivity in arid regions and a positive effect on stability in humid regions. This indicates a possible disconnection between productivity and stability regarding tree species richness effects. In other words, the mechanisms that drive the positive effects of tree species richness on productivity do not per se benefit stability simultaneously. Our findings therefore suggest that tree species richness effects are largely mediated by differences in climatic conditions rather than by differences in above- and belowground resource availability and uptake capacity at the regional scales. ispartof: SCIENCE OF THE TOTAL ENVIRONMENT vol:812 ispartof: location:Netherlands status: published
Mémoires en Sciences... arrow_drop_down Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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.scitotenv.2021.152560&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Mémoires en Sciences... arrow_drop_down Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Flore (Florence Research Repository)Article . 2022Data sources: Flore (Florence Research Repository)Copenhagen University Research Information SystemArticle . 2022Data sources: Copenhagen University Research Information SystemGhent University Academic BibliographyArticle . 2022Data sources: Ghent University Academic Bibliographyadd 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.scitotenv.2021.152560&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 Belgium, Italy, Switzerland, Norway, SwedenPublisher:MDPI AG Funded by:EC | SOILCAREEC| SOILCAREPiccoli, Ilaria; Seehusen, Till; Bussell, Jenny; Vizitu, Olga; Claciu, Irina; Berti, Antonio; B��rjesson, Gunnar; Kirchmann, Holger; K��tterer, Thomas; Sartori, Felice; Chris, Stoate; Crotty, Felicity; Panagea, Ioanna S.; Alaoui, Abdallah; Bolinder, Martin A.;handle: 11577/3462067 , 11250/3007222
ispartof: LAND vol:11 issue:2 status: published
Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; ZENODO; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11020223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 9 citations 9 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 21visibility views 21 download downloads 26 Powered bymore_vert Archivio istituziona... arrow_drop_down Archivio istituzionale della ricerca - Università di Padova; ZENODO; LandOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2022 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)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/land11020223&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 BelgiumPublisher:Royal Society of Chemistry (RSC) Funded by:EC | PLATIRUSEC| PLATIRUSNick Gys; Bram Pawlak; Léon Luntadila Lufungula; Kristof Marcoen; Kenny Wyns; Kitty Baert; Thomas Abo Atia; Jeroen Spooren; Peter Adriaensens; Frank Blockhuys; Tom Hauffman; Vera Meynen; Steven Mullens; Bart Michielsen;Modification of metal oxides with organophosphonic acids (PAs) provides the ability to control and tailor the surface properties. The metal oxide phosphonic acid bond (M-O-P) is known to be stable under harsh conditions, making PAs a promising candidate for the recovery of metals from complex acidic leachates. The thiol functional group is an excellent regenerable scavenging group for these applications. However, the research on organophosphonic acid grafting with thiol groups is very limited. In this study, four different metal sorbent materials were designed with different thiol surface coverages. An aqueous-based grafting of 3-mercaptopropylphosphonic acid (3MPPA) on mesoporous TiO2 was employed. Surface grafted thiol groups could be obtained in the range from 0.9 to 1.9 groups per nm2. The different obtained surface properties were studied and correlated to the Pd adsorption performance. High Pd/S adsorption efficiencies were achieved, indicating the presence of readily available sorption sites. A large difference in their selectivity towards Pd removal from a spend automotive catalyst leachate was observed due to the co-adsorption of Fe on the titania support. The highest surface coverage showed the highest selectivity (K d: 530 mL g-1) and adsorption capacity (Q max: 0.32 mmol g-1) towards Pd, while strongly reducing the co-adsorption of Fe on remaining TiO2 sites. ispartof: RSC ADVANCES vol:12 issue:55 pages:36046-36062 ispartof: location:England status: published
Lirias arrow_drop_down Vrije Universiteit Brussel Research PortalArticle . 2022Data sources: Vrije Universiteit Brussel Research Portaladd 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=10.1039/d2ra07214a&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 Lirias arrow_drop_down Vrije Universiteit Brussel Research PortalArticle . 2022Data sources: Vrije Universiteit Brussel Research Portaladd 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=10.1039/d2ra07214a&type=result"></script>'); --> </script>
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