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description Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Elsevier BV Authors: Dodd, Rosalind J.; Chadwick, David R.; Hill, Paul W.;Hayes, Felicity;
+4 AuthorsHayes, Felicity
Hayes, Felicity in OpenAIREDodd, Rosalind J.; Chadwick, David R.; Hill, Paul W.;Hayes, Felicity;
Hayes, Felicity
Hayes, Felicity in OpenAIRESánchez-Rodríguez, Antonio R.;
Gwynn-Jones, Dylan;Sánchez-Rodríguez, Antonio R.
Sánchez-Rodríguez, Antonio R. in OpenAIRESmart, Simon M.;
Jones, Davey L.;Smart, Simon M.
Smart, Simon M. in OpenAIREpmid: 36464051
Extreme weather events are increasing in frequency and magnitude with profound effects on ecosystem functioning. Further, there is now a greater likelihood that multiple extreme events are occurring within a single year. Here we investigated the effect of a single drought, flood or compound (flood + drought) extreme event on temperate grassland ecosystem processes in a field experiment. To assess system resistance and resilience, we studied changes in a wide range of above- and below-ground indicators (plant diversity and productivity, greenhouse gas emissions, soil chemical, physical and biological metrics) during the 8 week stress events and then for 2 years post-stress. We hypothesized that agricultural grasslands would have different degrees of resistance and resilience to flood and drought stress. We also investigated two alternative hypotheses that the combined flood + drought treatment would either, (A) promote ecosystem resilience through more rapid recovery of soil moisture conditions or (B) exacerbate the impact of the single flood or drought event. Our results showed that flooding had a much greater effect than drought on ecosystem processes and that the grassland was more resistant and resilient to drought than to flood. The immediate impact of flooding on all indicators was negative, especially for those related to production, and climate and water regulation. Flooding stress caused pronounced and persistent shifts in soil microbial and plant communities with large implications for nutrient cycling and long-term ecosystem function. The compound flood + drought treatment failed to show a more severe impact than the single extreme events. Rather, there was an indication of quicker recovery of soil and microbial parameters suggesting greater resilience in line with hypothesis (A). This study clearly reveals that contrasting extreme weather events differentially affect grassland ecosystem function but that concurrent events of a contrasting nature may promote ecosystem resilience to future stress.
The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2023 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2022.160660&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Science of The T... arrow_drop_down The Science of The Total EnvironmentArticle . 2023 . Peer-reviewedLicense: Elsevier TDMData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.scitotenv.2022.160660&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2007 United Kingdom, France, FrancePublisher:The Royal Society Authors: Firbank, Les;Petit, Sandrine;
Petit, Sandrine
Petit, Sandrine in OpenAIRESmart, Simon;
Blain, Alasdair; +1 AuthorsSmart, Simon
Smart, Simon in OpenAIREFirbank, Les;Petit, Sandrine;
Petit, Sandrine
Petit, Sandrine in OpenAIRESmart, Simon;
Blain, Alasdair; Fuller, Robert;Smart, Simon
Smart, Simon in OpenAIREAgricultural intensification is best considered as the level of human appropriation of terrestrial net primary production. The global value is set to increase from 30%, increasing pressures on biodiversity. The pressures can be classified in terms of spatial scale, i.e. land cover, landscape management and crop management. Different lowland agricultural landscapes in Great Britain show differences among these pressures when habitat diversity and nutrient surplus are used as indicators. Eutrophication of plants was correlated to N surplus, and species richness of plants correlated with broad habitat diversity. Bird species diversity only correlated with habitat diversity when the diversity of different agricultural habitats was taken into account. The pressures of agricultural change may be reduced by minimizing loss of large habitats, minimizing permanent loss of agricultural land, maintaining habitat diversity in agricultural landscapes in order to provide ecosystem services, and minimizing pollution from nutrients and pesticides from the crops themselves. While these pressures could potentially be quantified using an internationally consistent set of indicators, their impacts would need to be assessed using a much larger number of locally applicable biodiversity indicators.
Philosophical Transa... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2007 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2008Data sources: Europe PubMed CentralHAL - Université de Bourgogne (HAL-uB)Other literature type . 2008Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2007.2183&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 237 citations 237 popularity Top 1% influence Top 1% impulse Top 10% Powered by BIP!
more_vert Philosophical Transa... arrow_drop_down Philosophical Transactions of the Royal Society B Biological SciencesArticleData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2007 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2008Data sources: Europe PubMed CentralHAL - Université de Bourgogne (HAL-uB)Other literature type . 2008Data sources: HAL - Université de Bourgogne (HAL-uB)Institut National de la Recherche Agronomique: ProdINRAArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)Newcastle University Library ePrints ServiceArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2008Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2007.2183&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euResearch data keyboard_double_arrow_right Dataset 2017Publisher:NERC Environmental Information Data Centre Authors:Smart, S.M.;
Smart, S.M.
Smart, S.M. in OpenAIREReinsch, S.;
Mercado, L.; Blanes, M.C.; +5 AuthorsReinsch, S.
Reinsch, S. in OpenAIRESmart, S.M.;
Smart, S.M.
Smart, S.M. in OpenAIREReinsch, S.;
Mercado, L.; Blanes, M.C.;Reinsch, S.
Reinsch, S. in OpenAIRECosby, B.J.;
Glanville, H.C.; Jones, D.L.;Cosby, B.J.
Cosby, B.J. in OpenAIREMarshall, M.R.;
Marshall, M.R.
Marshall, M.R. in OpenAIREEmmett, B.A.;
Emmett, B.A.
Emmett, B.A. in OpenAIREMeasurements were made in plots ranging in size from 200 metres square to 0.5 metres square located using a stratified random sampling design. Standing aboveground plant biomass and root biomass were assessed independently at the sites. Standing aboveground plant biomass (grams of dry mass per square metre) was measured at 7 sites (blanket bog, bog (Calluna), soligenous mire and flush, acid grassland, broadleaved woodland (n=3), coniferous woodland, improved grassland, semi-improved grassland), with between 3 and 9 replicates per habitat. For the grassy/bog habitats, all herbaceous biomass was cut to 1cm height in 1 x 1 m quadrats, for 4 plots per habitat. The vegetation was dried then weighed in the lab. For woodland habitats, 2 x 200 metre plots were chosen at random for each site and tree cores collected for each tree and shrub >1.3m in height. Then the following formula was used to calculate above-ground biomass (where DBH = Diameter at Breast Height): Total root biomass (grams of dry mass per metre square) was measured at 8 sites (blanket bog, soligenous mire and flush, acid grassland, broadleaved woodland, improved grassland and semi-improved grassland). Topsoil (0-15 cm) soil cores were taken in three locations at each site. Aboveground vegetation was removed. Samples separated into 5 cm intervals and then washed with water to remove any soil or stones. Roots were collected in sieves and placed into an 80 degree oven to remove any water content and enable a calculation of the dry weight of the roots. Total root biomass was calculated as the sum of roots from the three soil intervals. The full details are available in the supporting documentation accompanying this dataset (Turf2Surf_WP2_Supporting_documentation.rtf). All results were entered into Excel spreadsheets. Data were then exported from this combined Excel spreadsheet as .csv files for ingestion into the EIDC. The data consists of, standing aboveground biomass, and belowground biomass measurements, from sites in the Conwy catchment. Standing aboveground biomass was measured at 7 sites and belowground biomass measurements were made at 8 sites. Data were collected in 2013 and 2014. The sites were chosen to represent habitat types and the terrestrial productivity gradient in Britain from intensive agriculturally managed lowland grasslands through to montane heath. Standing aboveground biomass (grams of dry mass per metre square) in habitats dominated by herbaceous biomass was measured on 1x1 metre quadrats in four plots per site. Standing aboveground biomass in woodlands was measured in two 200 square metre areas by means of stem cores and litter collections. Belowground total root biomass (grams of dry mass per square metre) was assessed for the topsoil 0-15 centimetres in three plots per site. Measurements were undertaken by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
https://dx.doi.org/1... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
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You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5285/46bb0117-ed5d-4167-a375-d84d1237cf21&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2010 United Kingdom, ItalyPublisher:Wiley Authors:David B. Roy;
Chris D. Evans; Mark O. Hill;David B. Roy
David B. Roy in OpenAIREJeanette Whitaker;
+9 AuthorsJeanette Whitaker
Jeanette Whitaker in OpenAIREDavid B. Roy;
Chris D. Evans; Mark O. Hill;David B. Roy
David B. Roy in OpenAIREJeanette Whitaker;
Jeanette Whitaker
Jeanette Whitaker in OpenAIRELorenzo Marini;
Andrew Crowe;Lorenzo Marini
Lorenzo Marini in OpenAIRESimon M. Smart;
Simon M. Smart
Simon M. Smart in OpenAIREEdwin C. Rowe;
Mike G. Le Duc; W. Andrew Scott;Edwin C. Rowe
Edwin C. Rowe in OpenAIREBridget A. Emmett;
C. Nigel Critchley; Rob H. Marrs;Bridget A. Emmett
Bridget A. Emmett in OpenAIREhandle: 11577/2491651
Question: Can useful realised niche models be constructed for British plant species using climate, canopy height and mean Ellenberg indices as explanatory variables? Location: Great Britain. Methods: Generalised linear models were constructed using occurrence data covering all major natural and semi-natural vegetation types (n=40 683 quadrat samples). Paired species and soil records were only available for 4% of the training data (n=1033) so modelling was carried out in two stages. First, multiple regression was used to express mean Ellenberg values for moisture, pH and fertility, in terms of direct soil measurements. Next, species presence/absence was modelled using mean indicator scores, cover-weighted canopy height, three climate variables and interactions between these factors, but correcting for the presence of each target species in training plots to avoid circularity. Results: Eight hundred and three higher plants and 327 bryophytes were modelled. Thirteen per cent of the niche models for higher plants were tested against an independent survey dataset not used to build the models. Models performed better when predictions were based only on indices derived from the species composition of each plot rather than measured soil variables. This reflects the high variation in vegetation indices that was not explained by the measured soil variables. Conclusions: The models should be used to estimate expected habitat suitability rather than to predict species presence. Least uncertainty also attaches to their use as risk assessment and monitoring tools on nature reserves because they can be solved using mean environmental indicators calculated from the existing species composition, with or without climate data.
Journal of Vegetatio... arrow_drop_down Journal of Vegetation ScienceArticle . 2010 . Peer-reviewedLicense: Wiley TDMData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2010Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/j.1654-1103.2010.01173.x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu29 citations 29 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Journal of Vegetatio... arrow_drop_down Journal of Vegetation ScienceArticle . 2010 . Peer-reviewedLicense: Wiley TDMData sources: CrossrefNatural Environment Research Council: NERC Open Research ArchiveArticle . 2010Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/j.1654-1103.2010.01173.x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2020 United Kingdom, France, Germany, Netherlands, France, Belgium, Czech Republic, France, Czech RepublicPublisher:Wiley Authors:Monika Wulf;
Ilze Liepiņa;Monika Wulf
Monika Wulf in OpenAIREKris Verheyen;
Kris Verheyen
Kris Verheyen in OpenAIREHaben Blondeel;
+25 AuthorsHaben Blondeel
Haben Blondeel in OpenAIREMonika Wulf;
Ilze Liepiņa;Monika Wulf
Monika Wulf in OpenAIREKris Verheyen;
Kris Verheyen
Kris Verheyen in OpenAIREHaben Blondeel;
Haben Blondeel
Haben Blondeel in OpenAIRESimon M. Smart;
Simon M. Smart
Simon M. Smart in OpenAIRESybryn L. Maes;
Sybryn L. Maes
Sybryn L. Maes in OpenAIRERadosław Gawryś;
Radosław Gawryś
Radosław Gawryś in OpenAIREThilo Heinken;
Thilo Heinken
Thilo Heinken in OpenAIREJörg Brunet;
Jörg Brunet
Jörg Brunet in OpenAIREWerner Härdtle;
Werner Härdtle
Werner Härdtle in OpenAIREEmiel De Lombaerde;
Emiel De Lombaerde
Emiel De Lombaerde in OpenAIREKarol Ujházy;
Karol Ujházy
Karol Ujházy in OpenAIREGuillaume Decocq;
Guillaume Decocq
Guillaume Decocq in OpenAIREMichael P. Perring;
Michael P. Perring; Steffi Heinrichs;Michael P. Perring
Michael P. Perring in OpenAIREBogdan Jaroszewicz;
Bogdan Jaroszewicz
Bogdan Jaroszewicz in OpenAIRELeen Depauw;
Leen Depauw
Leen Depauw in OpenAIREFrantišek Máliš;
František Máliš
František Máliš in OpenAIREDries Landuyt;
Wolfgang Schmidt; Radim Hédl;Dries Landuyt
Dries Landuyt in OpenAIREJan den Ouden;
Jan den Ouden
Jan den Ouden in OpenAIREJanusz Czerepko;
Janusz Czerepko
Janusz Czerepko in OpenAIREGuntis Brūmelis;
Guntis Brūmelis
Guntis Brūmelis in OpenAIREDéborah Closset-Kopp;
Déborah Closset-Kopp
Déborah Closset-Kopp in OpenAIREMartin Macek;
Martin Macek
Martin Macek in OpenAIREMartin Kopecký;
Martin Kopecký;Martin Kopecký
Martin Kopecký in OpenAIREhandle: 1854/LU-8639585
Abstract A central challenge of today's ecological research is predicting how ecosystems will develop under future global change. Accurate predictions are complicated by (a) simultaneous effects of different drivers, such as climate change, nitrogen deposition and management changes; and (b) legacy effects from previous land use. We tested whether herb layer biodiversity (i.e. richness, Shannon diversity and evenness) and functional (i.e. herb cover, specific leaf area [SLA] and plant height) responses to environmental change drivers depended on land‐use history. We used resurvey data from 192 plots across nineteen European temperate forest regions, with large spatial variability in environmental change factors. We tested for interactions between land‐use history, distinguishing ancient and recent (i.e. post‐agricultural) forests and four drivers: temperature, nitrogen deposition, and aridity at the regional scale and light dynamics at the plot‐scale. Land‐use history significantly modulated global change effects on the functional signature of the herb layer (i.e. cover, SLA and plant height). Light availability was the main environmental driver of change interacting with land‐use history. We found greater herb cover and plant height decreases and SLA increases with decreasing light availability in ancient than in recent forests. Furthermore, we found greater decreases in herb cover with increased nitrogen deposition in ancient forests, whereas warming had the strongest decreasing effect on the herb cover in recent forests. Interactive effects between land‐use history and global change on biodiversity were not found, but species evenness increased more in ancient than in recent forests. Synthesis. Our results demonstrate that land‐use history should not be overlooked when predicting forest herb layer responses to global change. Moreover, we found that herb layer composition in semi‐natural deciduous forests is mainly controlled by local canopy characteristics, regulating light levels at the forest floor, and much less by environmental changes at the regional scale (here: warming, nitrogen deposition and aridity). The observed disconnect between biodiversity and functional herb layer responses to environmental changes demonstrates the importance of assessing both types of responses to increase our understanding of the possible impact of global change on the herb layer.
Journal of Ecology arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Repository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesJournal of EcologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyNatural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2745.13339&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 62 citations 62 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Journal of Ecology arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2021Repository of the Czech Academy of SciencesArticle . 2020Data sources: Repository of the Czech Academy of SciencesJournal of EcologyArticle . 2020 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGhent University Academic BibliographyArticle . 2020Data sources: Ghent University Academic BibliographyNatural Environment Research Council: NERC Open Research ArchiveArticle . 2020Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/1365-2745.13339&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2016 United KingdomPublisher:Wiley Funded by:FCT | LA 1FCT| LA 1Authors: Ward, Susan E.;Smart, Simon M.;
Quirk, Helen; Tallowin, Jerry R.B.; +4 AuthorsSmart, Simon M.
Smart, Simon M. in OpenAIREWard, Susan E.;Smart, Simon M.;
Quirk, Helen; Tallowin, Jerry R.B.; Mortimer, Simon R.; Shiel, Robert S.;Smart, Simon M.
Smart, Simon M. in OpenAIREWilby, Andrew;
Bardgett, Richard D.;Wilby, Andrew
Wilby, Andrew in OpenAIREdoi: 10.1111/gcb.13246
pmid: 26854892
AbstractThe importance of managing land to optimize carbon sequestration for climate change mitigation is widely recognized, with grasslands being identified as having the potential to sequester additional carbon. However, most soil carbon inventories only consider surface soils, and most large‐scale surveys group ecosystems into broad habitats without considering management intensity. Consequently, little is known about the quantity of deep soil carbon and its sensitivity to management. From a nationwide survey of grassland soils to 1 m depth, we show that carbon in grassland soils is vulnerable to management and that these management effects can be detected to considerable depth down the soil profile, albeit at decreasing significance with depth. Carbon concentrations in soil decreased as management intensity increased, but greatest soil carbon stocks (accounting for bulk density differences), were at intermediate levels of management. Our study also highlights the considerable amounts of carbon in subsurface soil below 30 cm, which is missed by standard carbon inventories. We estimate grassland soil carbon in Great Britain to be 2097 Tg C to a depth of 1 m, with ~60% of this carbon being below 30 cm. Total stocks of soil carbon (t ha−1) to 1 m depth were 10.7% greater at intermediate relative to intensive management, which equates to 10.1 t ha−1in surface soils (0–30 cm), and 13.7 t ha−1in soils from 30 to 100 cm depth. Our findings highlight the existence of substantial carbon stocks at depth in grassland soils that are sensitive to management. This is of high relevance globally, given the extent of land cover and large stocks of carbon held in temperate managed grasslands. Our findings have implications for the future management of grasslands for carbon storage and climate mitigation, and for global carbon models which do not currently account for changes in soil carbon to depth with management.
NERC Open Research A... arrow_drop_down Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2016Data sources: The University of Manchester - Institutional RepositoryNewcastle University Library ePrints ServiceArticleData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.13246&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 123 citations 123 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefThe University of Manchester - Institutional RepositoryArticle . 2016Data sources: The University of Manchester - Institutional RepositoryNewcastle University Library ePrints ServiceArticleData sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2016Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.13246&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2012 United Kingdom, United Kingdom, Italy, FrancePublisher:American Association for the Advancement of Science (AAAS) Authors: Fridley, Jason D.; Grime, J. Philip;Huston, Michael A.;
Huston, Michael A.
Huston, Michael A. in OpenAIREPierce, Simon;
+9 AuthorsPierce, Simon
Pierce, Simon in OpenAIREFridley, Jason D.; Grime, J. Philip;Huston, Michael A.;
Huston, Michael A.
Huston, Michael A. in OpenAIREPierce, Simon;
Pierce, Simon
Pierce, Simon in OpenAIRESmart, Simon M;
Smart, Simon M
Smart, Simon M in OpenAIREThompson, Ken;
Thompson, Ken
Thompson, Ken in OpenAIREBörger, Luca;
Brooker, Rob W.;Börger, Luca
Börger, Luca in OpenAIRECerabolini, Bruno E.L.;
Cerabolini, Bruno E.L.
Cerabolini, Bruno E.L. in OpenAIREGross, Nicolas;
Gross, Nicolas
Gross, Nicolas in OpenAIRELiancourt, Pierre;
Liancourt, Pierre
Liancourt, Pierre in OpenAIREMichalet, Richard;
Michalet, Richard
Michalet, Richard in OpenAIRELe Bagousse-Pinguet, Yoann;
Le Bagousse-Pinguet, Yoann
Le Bagousse-Pinguet, Yoann in OpenAIREAdler et al . (Reports, 23 September 2011, p. 1750) reported “weak and variable” relationships between productivity and species richness and dispute the “humped-back” model (HBM) of plant diversity. We show that their analysis lacks sufficient high-productivity sites, ignores litter, and excludes anthropogenic sites. If corrected, the data set of Adler et al . would apparently yield strong HBM support.
Science arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.1215042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 57 citations 57 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Science arrow_drop_down INRIA a CCSD electronic archive serverArticle . 2012Data sources: INRIA a CCSD electronic archive serverInstitut National de la Recherche Agronomique: ProdINRAArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2012Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1126/science.1215042&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 France, Netherlands, France, Belgium, United Kingdom, France, GermanyPublisher:Wiley Publicly fundedFunded by:EC | PASTFORWARDEC| PASTFORWARDAuthors:Landuyt, Dries;
Landuyt, Dries
Landuyt, Dries in OpenAIREPerring, Michael;
Perring, Michael
Perring, Michael in OpenAIREBlondeel, Haben;
Blondeel, Haben
Blondeel, Haben in OpenAIREde Lombaerde, Emiel;
+39 Authorsde Lombaerde, Emiel
de Lombaerde, Emiel in OpenAIRELanduyt, Dries;
Landuyt, Dries
Landuyt, Dries in OpenAIREPerring, Michael;
Perring, Michael
Perring, Michael in OpenAIREBlondeel, Haben;
Blondeel, Haben
Blondeel, Haben in OpenAIREde Lombaerde, Emiel;
de Lombaerde, Emiel
de Lombaerde, Emiel in OpenAIREDepauw, Leen;
Depauw, Leen
Depauw, Leen in OpenAIRELorer, Eline;
Lorer, Eline
Lorer, Eline in OpenAIREMaes, Sybryn;
Maes, Sybryn
Maes, Sybryn in OpenAIREBaeten, Lander;
Baeten, Lander
Baeten, Lander in OpenAIREBergès, Laurent;
Bergès, Laurent
Bergès, Laurent in OpenAIREBernhardt-Römermann, Markus;
Bernhardt-Römermann, Markus
Bernhardt-Römermann, Markus in OpenAIREBrūmelis, Guntis;
Brūmelis, Guntis
Brūmelis, Guntis in OpenAIREBrunet, Jörg;
Brunet, Jörg
Brunet, Jörg in OpenAIREChudomelová, Markéta;
Chudomelová, Markéta
Chudomelová, Markéta in OpenAIRECzerepko, Janusz;
Czerepko, Janusz
Czerepko, Janusz in OpenAIREDecocq, Guillaume;
Decocq, Guillaume
Decocq, Guillaume in OpenAIREden Ouden, Jan;
den Ouden, Jan
den Ouden, Jan in OpenAIREde Frenne, Pieter;
de Frenne, Pieter
de Frenne, Pieter in OpenAIREDirnböck, Thomas;
Dirnböck, Thomas
Dirnböck, Thomas in OpenAIREDurak, Tomasz;
Durak, Tomasz
Durak, Tomasz in OpenAIREFichtner, Andreas;
Fichtner, Andreas
Fichtner, Andreas in OpenAIREGawryś, Radosław;
Gawryś, Radosław
Gawryś, Radosław in OpenAIREHärdtle, Werner;
Härdtle, Werner
Härdtle, Werner in OpenAIREHédl, Radim;
Hédl, Radim
Hédl, Radim in OpenAIREHeinrichs, Steffi;
Heinrichs, Steffi
Heinrichs, Steffi in OpenAIREHeinken, Thilo;
Heinken, Thilo
Heinken, Thilo in OpenAIREJaroszewicz, Bogdan;
Jaroszewicz, Bogdan
Jaroszewicz, Bogdan in OpenAIREKirby, Keith;
Kirby, Keith
Kirby, Keith in OpenAIREKopecký, Martin;
Kopecký, Martin
Kopecký, Martin in OpenAIREMáliš, František;
Máliš, František
Máliš, František in OpenAIREMacek, Martin;
Macek, Martin
Macek, Martin in OpenAIREMitchell, Fraser;
Mitchell, Fraser
Mitchell, Fraser in OpenAIRENaaf, Tobias;
Naaf, Tobias
Naaf, Tobias in OpenAIREPetřík, Petr;
Petřík, Petr
Petřík, Petr in OpenAIREReczyńska, Kamila;
Reczyńska, Kamila
Reczyńska, Kamila in OpenAIRESchmidt, Wolfgang;
Schmidt, Wolfgang
Schmidt, Wolfgang in OpenAIREStandovár, Tibor;
Standovár, Tibor
Standovár, Tibor in OpenAIRESwierkosz, Krzysztof;
Swierkosz, Krzysztof
Swierkosz, Krzysztof in OpenAIRESmart, Simon;
Smart, Simon
Smart, Simon in OpenAIREvan Calster, Hans;
van Calster, Hans
van Calster, Hans in OpenAIREVild, Ondřej;
Vild, Ondřej
Vild, Ondřej in OpenAIREWaller, Donald;
Waller, Donald
Waller, Donald in OpenAIREWulf, Monika;
Wulf, Monika
Wulf, Monika in OpenAIREVerheyen, Kris;
Verheyen, Kris
Verheyen, Kris in OpenAIREAbstractPlant communities are being exposed to changing environmental conditions all around the globe, leading to alterations in plant diversity, community composition, and ecosystem functioning. For herbaceous understorey communities in temperate forests, responses to global change are postulated to be complex, due to the presence of a tree layer that modulates understorey responses to external pressures such as climate change and changes in atmospheric nitrogen deposition rates. Multiple investigative approaches have been put forward as tools to detect, quantify and predict understorey responses to these global‐change drivers, including, among others, distributed resurvey studies and manipulative experiments. These investigative approaches are generally designed and reported upon in isolation, while integration across investigative approaches is rarely considered. In this study, we integrate three investigative approaches (two complementary resurvey approaches and one experimental approach) to investigate how climate warming and changes in nitrogen deposition affect the functional composition of the understorey and how functional responses in the understorey are modulated by canopy disturbance, that is, changes in overstorey canopy openness over time. Our resurvey data reveal that most changes in understorey functional characteristics represent responses to changes in canopy openness with shifts in macroclimate temperature and aerial nitrogen deposition playing secondary roles. Contrary to expectations, we found little evidence that these drivers interact. In addition, experimental findings deviated from the observational findings, suggesting that the forces driving understorey change at the regional scale differ from those driving change at the forest floor (i.e., the experimental treatments). Our study demonstrates that different approaches need to be integrated to acquire a full picture of how understorey communities respond to global change.
Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2024Global Change BiologyArticle . 2023 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGhent University Academic BibliographyArticle . 2024Data sources: Ghent University Academic BibliographyInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.17086&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 4 citations 4 popularity Average influence Average impulse Average Powered by BIP!
more_vert Publikationenserver ... arrow_drop_down Publikationenserver der Georg-August-Universität GöttingenArticle . 2024Global Change BiologyArticle . 2023 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefGhent University Academic BibliographyArticle . 2024Data sources: Ghent University Academic BibliographyInstitut National de la Recherche Agronomique: ProdINRAArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2024Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1111/gcb.17086&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2015 United KingdomPublisher:Informa UK Limited Authors:Henrys, P.A.;
Henrys, P.A.
Henrys, P.A. in OpenAIRESmart, S.M.;
Smart, S.M.
Smart, S.M. in OpenAIRERowe, E.C.;
Rowe, E.C.
Rowe, E.C. in OpenAIREJarvis, S.G.;
+4 AuthorsJarvis, S.G.
Jarvis, S.G. in OpenAIREHenrys, P.A.;
Henrys, P.A.
Henrys, P.A. in OpenAIRESmart, S.M.;
Smart, S.M.
Smart, S.M. in OpenAIRERowe, E.C.;
Rowe, E.C.
Rowe, E.C. in OpenAIREJarvis, S.G.;
Jarvis, S.G.
Jarvis, S.G. in OpenAIREFang, Z.;
Fang, Z.
Fang, Z. in OpenAIREEvans, C.D.;
Evans, C.D.
Evans, C.D. in OpenAIREEmmett, B.A.;
Butler, A.;Emmett, B.A.
Emmett, B.A. in OpenAIREAbstractSite-occupancy models that predict habitat suitability for plant species in relation to measurable environmental factors can be useful for conservation planning. Such models can be derived from large-scale presence–absence datasets on the basis of environmental observations or, where only floristic data are available, using plant trait values averaged across a plot. However, the estimated modelled relationship between species presence and environmental variables depends on the type of statistical model adopted and hence can introduce additional uncertainty. Authors used an ensemble-modelling approach to constrain and quantify the uncertainty because of the choice of statistical model, applying generalised linear models (GLM), generalised additive models (GAM), and multivariate adaptive regression splines (MARS). Niche models were derived for over 1000 species of vascular plants, bryophytes and lichens, representing a large proportion of the British flora and many species occurring in continental E...
NERC Open Research A... arrow_drop_down Natural Environment Research Council: NERC Open Research ArchiveArticle . 2015Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1179/2042349715y.0000000010&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen bronze 14 citations 14 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Natural Environment Research Council: NERC Open Research ArchiveArticle . 2015Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1179/2042349715y.0000000010&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:Wiley Funded by:UKRI | UK Status, Change and Pro...UKRI| UK Status, Change and Projections of the Environment (UK-SCaPE)Authors:West, Bede;
Jones, Davey L.;West, Bede
West, Bede in OpenAIRERobinson, Emma L.;
Robinson, Emma L.
Robinson, Emma L. in OpenAIREMarrs, Robert H.;
+1 AuthorsMarrs, Robert H.
Marrs, Robert H. in OpenAIREWest, Bede;
Jones, Davey L.;West, Bede
West, Bede in OpenAIRERobinson, Emma L.;
Robinson, Emma L.
Robinson, Emma L. in OpenAIREMarrs, Robert H.;
Marrs, Robert H.
Marrs, Robert H. in OpenAIRESmart, Simon M.;
Smart, Simon M.
Smart, Simon M. in OpenAIREAbstract Agri‐environment schemes (AES) incentivise land‐management practices aimed at mitigating environmental impacts. However, their effectiveness depends on the duration and type of management. We modelled the potential for grassland AES options in Wales (UK) to achieve positive changes in plant diversity via change in soil conditions. We modelled the response of plants and soils to the predicted effects of AES options over a 13‐year time interval. We applied scenarios of change in soil conditions in three managed grassland types, using high‐resolution baseline soil and vegetation data collected in grasslands across Wales, UK. We also applied scenarios of climate change to determine the extent to which this might modify the impact of AES intervention on plant species compositional turnover. Empirical models of soil response to extensification were constructed from published experimental data and used to drive change in soil inputs to a small ensemble of ecological niche models for British plants. These models were applied to the local pool of species in each baseline (2 × 2 m) quadrat plus a wider 10 × 10 km pool from which we draw species absent at baseline but predicted to find conditions suitable as a result of AES intervention and climate change, thus estimating dark diversity at each location. Outputs were summarised by grouping species by the ecosystem functions and services they support and by matching projected species composition to the UK National Vegetation Classification. Scenario modelling indicated that at least 10 years of management under grassland AES options were needed to achieve conditions suitable for desirable plant assemblages more typical of lower fertility habitats. Synthesis and applications: We predict that management effects will have a more marked effect on vegetation and soil than predicted climate variation up to 2029. Realising modelled changes in habitat suitability as species compositional turnover and community assembly is likely to require additional measures to assist plant dispersal and establishment.
NERC Open Research A... arrow_drop_down Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ecological Solutions and EvidenceArticle . 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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/2688-8319.12233&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Natural Environment Research Council: NERC Open Research ArchiveArticle . 2023License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Ecological Solutions and EvidenceArticle . 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://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1002/2688-8319.12233&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu