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description Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:Elsevier BV David N. Steger; Richard L. Peters; Theresa Blume; Alexander G. Hurley; Daniel Balanzategui; Daniel F. Balting; Ingo Heinrich;Tree-specific canopy conductance (Gc) and its adjustment play a critical role in mitigating excess water loss in changing environmental conditions. However, the change of Gc sensitivity to environmental conditions due to drought remains unclear for European tree species. Here we quantified the environmental operational space of Gc, i.e., the water supply (soil moisture, tree water deficit) and demand conditions (vapor pressure deficit) under which Gc ≥ 50% is possible (Gc50OS), at two sites with different soil water availability for three common European tree species. We collected sap flow and dendrometer measurements for co-occurring Pinus sylvestris, Fagus sylvatica and Quercus petraea growing under different soil hydrological conditions (drier/wetter). These measurements were combined with meteorological variables and soil moisture conditions in five depths. Dendrometer measurements were used to confirm soil water availability patterns. For all analyses, the contrasting soil hydrology between sites was the main driver of Gc response. At the drier sites, F. sylvatica and P. sylvestris reduced their water consumption in response to decreasing soil water supply earlier in the growing season than Q. petraea. However, our analysis on the Gc50OS revealed that at the drier sites, F. sylvatica and Q. petraea reduced the extent of their Gc50OS to a higher degree than P. sylvestris. This indicates a higher level of Gc50OS adjustment to the drier site conditions for the two broadleaved species. These differences were more pronounced when using the dendrometer-derived tree internal water status as proxy for tree water supply. Our results provide preliminary evidence for diverging short-term Gc responses when temperate trees are exposed to prolonged reduction in water availability. These findings suggest that Gc50OS can help to constrain species-specific predictions of water use by mature trees, especially when combined with high-resolution water potential measurements.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2024License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2024License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:American Geophysical Union (AGU) Authors: Tanja Herbst; Matthias Fuchs; Susanne Liebner; Claire C. Treat;Tanja Herbst; Matthias Fuchs; Susanne Liebner; Claire C. Treat;doi: 10.1029/2023jg007590
AbstractArctic warming increases the degradation of permafrost soils but little is known about floodplain soils in the permafrost region. This study quantifies soil organic carbon (SOC) and soil nitrogen stocks, and the potential CH4 and CO2 production from seven cores in the active floodplains in the Lena River Delta, Russia. The soils were sandy but highly heterogeneous, containing deep, organic rich deposits with >60% SOC stored below 30 cm. The mean SOC stocks in the top 1 m were 12.9 ± 6.0 kg C m−2. Grain size analysis and radiocarbon ages indicated highly dynamic environments with sediment re‐working. Potential CH4 and CO2 production from active floodplains was assessed using a 1‐year incubation at 20°C under aerobic and anaerobic conditions. Cumulative aerobic CO2 production mineralized a mean 4.6 ± 2.8% of initial SOC. The mean cumulative aerobic:anaerobic C production ratio was 2.3 ± 0.9. Anaerobic CH4 production comprised 50 ± 9% of anaerobic C mineralization; rates were comparable or exceeded those for permafrost region organic soils. Potential C production from the incubations was correlated with total organic carbon and varied strongly over space (among cores) and depth (active layer vs. permafrost). This study provides valuable information on the carbon cycle dynamics from active floodplains in the Lena River Delta and highlights the key spatial variability, both among sites and with depth, and the need to include these dynamic permafrost environments in future estimates of the permafrost carbon‐climate feedback.
Electronic Publicati... arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterGFZ German Research Centre for GeosciencesArticle . 2024License: CC BY NC NDData sources: GFZ German Research Centre for GeosciencesJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Electronic Publicati... arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterGFZ German Research Centre for GeosciencesArticle . 2024License: CC BY NC NDData sources: GFZ German Research Centre for GeosciencesJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:UKRI | Academic Centre of Excell...UKRI| Academic Centre of Excellence in Cyber Security Research - University of SouthamptonBasel Halak; Thomas Gibson; Millicent Henley; Cristin-Bianca Botea; Benjamin Heath; Sayedur Khan;The accelerated development of quantum computers poses a direct threat to all current standards of public key encryption, for example, the Shor algorithm exploits the superposition state of the qubits to solve the problem of integer factorization in polynomial time, rendering all systems whose security relies on this hard mathematical problem not secure. Public key encryption algorithms are used in a multitude of applications that form the core of the digital world (e.g., emails, banking, digital currency, defense, and communication.). The prospects of a quantum machine that can break such systems are too risky to ignore, even if such a computer still needs thirty years to build. This is because adversaries can be storing data now to decrypt later aka. SNLD attack, moreover, some systems have an operational lifetime that spans more than thirty years (e.g., defense, aviation industry). Consequently, the work has already started to develop quantum-attack resilient security schemes. The number of Internet of Things (IoT) devices is expected to be around 29 billion in 2030, forming a significant portion of all computing machines. Most of these will be implemented as embedded systems with limited resources. Consequently, assessing the energy and computational overheads of the quantum-attack resilient security schemes is vital. This work presents a comprehensive study that evaluates the energy and performance costs of the proposed solutions in resource-constrained devices, in comparison with the existing schemes. This was achieved through the development of a testbed that emulates a client-server configuration, wherein both devices perform mutual authentication and then agree on a shared key using the TLS protocol. A Raspberry Pi 3b+ was used as a server, and a client in the first set of experiments. Raspberry Pi Pico W was the client in the second group of tests. The results of the evaluation have shown that Kyber1-Dilithuim-2 is the most resource-efficient solution, it outperforms all other PQC algorithms, including the current scheme that uses elliptic curve cryptography. Our study has also shown the digital signature scheme Sphinx+ is associated with significant latency and energy costs so may not be suitable for IoT-type devices.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton 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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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1109/access.2024.3350775&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:IOP Publishing Funded by:UKRI | Monitoring a large Sargas..., UKRI | Teleconnected SARgassum r...UKRI| Monitoring a large Sargassum bloom subject to a major volcanic eruption (MONISARG) ,UKRI| Teleconnected SARgassum risks across the Atlantic: building capacity for TRansformational Adaptation in the Caribbean and West Africa (SARTRAC)Y A Fidai; J Dash; R Marsh; H A Oxenford; L Biermann; N Martin; E L Tompkins;Abstract Pelagic sargassum (S fluitans and S natans) algal blooms and beach landings have become a regular occurrence in the Tropical Atlantic Basin since 2011; they have a variety of impacts on the marine ecosystem and blue economy. To reduce the impacts and enable effective management, forecasting and monitoring of the blooms are essential. Challenges associated with use of satellite imagery for sargassum detection in the Tropical Atlantic are spatial resolution and cloud cover, which is particularly dense in this region due to the inter-tropical convergence zone, tropical storms and hurricanes. Successful models of forecasting and prediction of pelagic sargassum are hindered by unreliable satellite data, uncertainty around windage and as well as growth and mortality. In the longer term, we aim to improve the forecast models of pelagic sargassum mat movements in open oceans by introducing evidence of the speed of travel, changing mat morphology, and size and health status of sargassum mats. To achieve this, we deployed eight trackers on floating sargassum mats in the Western Tropical Atlantic. In addition, we explore the coincidence of surface currents, wind stress and sea surface temperature as a parameter for growth on the tracker pathways. When used in conjunction with both remote sensing methods and climate data (wind, current and sea temperature), we find that GPS tracker data can facilitate more reliable monitoring of sargassum transport pathways, helps to overcome satellite-based challenges as well as model based uncertainties, and may improve the accuracy and general utility of sargassum early warning systems.
e-Prints Soton arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 France, Germany, United KingdomPublisher:Elsevier BV Authors: Rizzo, Rodnei; Wadoux, Alexandre, M.J.-C; Demattê, José A.M.; Minasny, Budiman; +30 AuthorsRizzo, Rodnei; Wadoux, Alexandre, M.J.-C; Demattê, José A.M.; Minasny, Budiman; Barrón, Vidal; Ben-Dor, Eyal; Francos, Nicolas; Savin, Igor; Poppiel, Raul; Silvero, Nelida E.Q.; Terra, Fabrício da Silva; Rosin, Nícolas Augusto; Rosas, Jorge Tadeu Fim; Greschuk, Lucas Tadeu; Ballester, Maria V.R.; Gómez, Andrés Mauricio Rico; Belllinaso, Henrique; Safanelli, José Lucas; Chabrillat, Sabine; Fiorio, Peterson; Das, Bhabani Sankar; Malone, Brendan; Zalidis, George; Tziolas, Nikolaos; Tsakiridis, Nikolaos; Karyotis, Konstantinos; Samarinas, Nikiforos; Kalopesa, Eleni; Gholizadeh, Asa; Shepherd, Keith; Milewski, Robert; Vaudour, Emmanuelle; Wang, Changkun; Salama, Elsayed Said Mohamed;Abstract Soil color is a key indicator of soil properties and conditions, exerting influence on both agronomic and environmental variables. Conventional methods for soil color determination have come under scrutiny due to their limited accuracy and reliability. In response to these concerns, we developed an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral measurements. This approach enables the creation of a global soil color map with a fine spatial resolution of 30 m x 30 m. The system initially identifies bare earth areas worldwide using reflectance bands acquired from Landsat 4 through Landsat 8 between 1985 and 2020. Soil color was quantified using the CIE-XYZ coordinates, utilizing 8005 soil spectral measurements within the visible range (380–780 nm) as ground truth data. We established transfer functions to convert Landsat reflectance bands to standardized XYZ color coordinates. These transfer functions were subsequently applied to images of bare surfaces, covering approximately 38.5% of the Earth's surface. We validated the resulting global soil color map using statistical indices derived from an independent set of ground-truth spectral data, demonstrating a high degree of agreement. By creating the world's first global soil color map, we have set a baseline for future spatial and temporal monitoring of soil conditions, thus enhancing our understanding and management of our planet's vital soil resources. International audience
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023Data sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Rothamsted RepositoryArticle . 2023 . Peer-reviewedLicense: Elsevier TDMMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04346311/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023Data sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Rothamsted RepositoryArticle . 2023 . Peer-reviewedLicense: Elsevier TDMMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04346311/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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.rse.2023.113845&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Authors: Leyang Li; Guixing Cao; Jun Liu; Xiaohao Cai;Leyang Li; Guixing Cao; Jun Liu; Xiaohao Cai;The existing image matching methods for remote sensing scenes are usually based on local features. The most common local features like SIFT can be used to extract point features. However, this kind of methods may extract too many keypoints on the background, resulting in low attention to the main object in a single image, increasing resource consumption and limiting their performance. To address this issue, we propose a method that could be implemented well on resource-limited satellites for remote sensing images ship matching by leveraging line features. A keypoint extraction strategy called line feature based keypoint detection (LFKD) is designed using line features to choose and filter keypoints. It can strengthen the features at corners and edges of objects and also can significantly reduce the number of keypoints that cause false matches. We also present an end-to-end matching process dependent on a new crop patching function, which helps to reduce complexity. The matching accuracy achieved by the proposed method reaches 0.972 with only 313 M memory and 138 ms testing time. Compared to the state-of-the-art methods in remote sensing scenes in extensive experiments, our keypoint extraction method can be combined with all existing CNN models that can obtain descriptors, and also improve the matching accuracy. The results show that our method can achieve ∼50% test speed boost and ∼30% memory saving in our created dataset and public datasets.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, Belgium, Italy, United Kingdom, Italy, Germany, Austria, Germany, Italy, Denmark, France, Italy, Italy, NetherlandsPublisher:Springer Science and Business Media LLC Lidong Mo; Constantin M. Zohner; Peter B. Reich; Jingjing Liang; Sergio de Miguel; Gert-Jan Nabuurs; Susanne S. Renner; Johan van den Hoogen; Arnan Araza; Martin Herold; Leila Mirzagholi; Haozhi Ma; Colin Averill; Oliver L. Phillips; Javier G. P. Gamarra; Iris Hordijk; Devin Routh; Meinrad Abegg; Yves C. Adou Yao; Giorgio Alberti; Angelica M. Almeyda Zambrano; Braulio Vilchez Alvarado; Esteban Alvarez-Dávila; Patricia Alvarez-Loayza; Luciana F. Alves; Iêda Amaral; Christian Ammer; Clara Antón-Fernández; Alejandro Araujo-Murakami; Luzmila Arroyo; Valerio Avitabile; Gerardo A. Aymard; Timothy R. Baker; Radomir Bałazy; Olaf Banki; Jorcely G. Barroso; Meredith L. Bastian; Jean-Francois Bastin; Luca Birigazzi; Philippe Birnbaum; Robert Bitariho; Pascal Boeckx; Frans Bongers; Olivier Bouriaud; Pedro H. S. Brancalion; Susanne Brandl; Francis Q. Brearley; Roel Brienen; Eben N. Broadbent; Helge Bruelheide; Filippo Bussotti; Roberto Cazzolla Gatti; Ricardo G. César; Goran Cesljar; Robin L. Chazdon; Han Y. H. Chen; Chelsea Chisholm; Hyunkook Cho; Emil Cienciala; Connie Clark; David Clark; Gabriel D. Colletta; David A. Coomes; Fernando Cornejo Valverde; José J. Corral-Rivas; Philip M. Crim; Jonathan R. Cumming; Selvadurai Dayanandan; André L. de Gasper; Mathieu Decuyper; Géraldine Derroire; Ben DeVries; Ilija Djordjevic; Jiri Dolezal; Aurélie Dourdain; Nestor Laurier Engone Obiang; Brian J. Enquist; Teresa J. Eyre; Adandé Belarmain Fandohan; Tom M. Fayle; Ted R. Feldpausch; Leandro V. Ferreira; Leena Finér; Markus Fischer; Christine Fletcher; Lorenzo Frizzera; Damiano Gianelle; Henry B. Glick; David J. Harris; Andrew Hector; Andreas Hemp; Geerten Hengeveld; Bruno Hérault; John L. Herbohn; Annika Hillers; Eurídice N. Honorio Coronado; Cang Hui; Thomas Ibanez; Nobuo Imai; Andrzej M. Jagodziński; Bogdan Jaroszewicz; Vivian Kvist Johannsen; Carlos A. Joly; Tommaso Jucker; Ilbin Jung; Viktor Karminov; Kuswata Kartawinata; Elizabeth Kearsley; David Kenfack; Deborah K. Kennard; Sebastian Kepfer-Rojas; Gunnar Keppel; Mohammed Latif Khan; Timothy J. Killeen; Hyun Seok Kim; Kanehiro Kitayama; Michael Köhl; Henn Korjus; Florian Kraxner; Dmitry Kucher; Diana Laarmann; Mait Lang; Huicui Lu; Natalia V. Lukina; Brian S. Maitner; Yadvinder Malhi; Eric Marcon; Beatriz Schwantes Marimon; Ben Hur Marimon-Junior; Andrew R. Marshall; Emanuel H. Martin; Jorge A. Meave; Omar Melo-Cruz; Casimiro Mendoza; Irina Mendoza-Polo; Stanislaw Miscicki; Cory Merow; Abel Monteagudo Mendoza; Vanessa S. Moreno; Sharif A. Mukul; Philip Mundhenk; María Guadalupe Nava-Miranda; David Neill; Victor J. Neldner; Radovan V. Nevenic; Michael R. Ngugi; Pascal A. Niklaus; Jacek Oleksyn; Petr Ontikov; Edgar Ortiz-Malavasi; Yude Pan; Alain Paquette; Alexander Parada-Gutierrez; Elena I. Parfenova; Minjee Park; Marc Parren; Narayanaswamy Parthasarathy; Pablo L. Peri; Sebastian Pfautsch; Nicolas Picard; Maria Teresa F. Piedade; Daniel Piotto; Nigel C. A. Pitman; Axel Dalberg Poulsen; John R. Poulsen; Hans Pretzsch; Freddy Ramirez Arevalo; Zorayda Restrepo-Correa; Mirco Rodeghiero; Samir G. Rolim; Anand Roopsind; Francesco Rovero; Ervan Rutishauser; Purabi Saikia; Christian Salas-Eljatib; Philippe Saner; Peter Schall; Mart-Jan Schelhaas; Dmitry Schepaschenko; Michael Scherer-Lorenzen; Bernhard Schmid; Jochen Schöngart; Eric B. Searle; Vladimír Seben; Josep M. Serra-Diaz; Douglas Sheil; Anatoly Z. Shvidenko; Javier E. Silva-Espejo; Marcos Silveira; James Singh; Plinio Sist; Ferry Slik; Bonaventure Sonké; Alexandre F. Souza; Krzysztof J. Stereńczak; Jens-Christian Svenning; Miroslav Svoboda; Ben Swanepoel; Natalia Targhetta; Nadja Tchebakova; Hans ter Steege; Elena Tikhonova; Peter M. Umunay; Fons van der Plas; Tran Van Do; Michael E. van Nuland; Hans Verbeeck; Helder Viana; Alexander C. Vibrans; Simone Vieira; Klaus von Gadow; Susan K. Wiser; Chunyu Zhang; Irie C. Zo-Bi; Thomas W. Crowther;handle: 11572/397809 , 10449/82975 , 1854/LU-01HJ90PXBVC60M99BF61K973CZ , 11390/1266587 , 2158/1345365 , 11585/961749
pmid: 37957399
pmc: PMC10700142
handle: 11572/397809 , 10449/82975 , 1854/LU-01HJ90PXBVC60M99BF61K973CZ , 11390/1266587 , 2158/1345365 , 11585/961749
pmid: 37957399
pmc: PMC10700142
Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify carbon losses from global forests 2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced 6 and satellite-derived approaches 2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea 2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets. International audience
Archivio istituziona... arrow_drop_down Flore (Florence Research Repository)Article . 2023Data sources: Flore (Florence Research Repository)Nature; Archivio istituzionale della ricerca - Fondazione Edmund MachArticle . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04290984/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 8 citations 8 popularity Average influence Average impulse Top 10% Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Flore (Florence Research Repository)Article . 2023Data sources: Flore (Florence Research Repository)Nature; Archivio istituzionale della ricerca - Fondazione Edmund MachArticle . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04290984/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1038/s41586-023-06723-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 GermanyPublisher:Frontiers Media SA Authors: Viola H. A. Heinrich; Viola H. A. Heinrich; Viola H. A. Heinrich; Stephen Sitch; +6 AuthorsViola H. A. Heinrich; Viola H. A. Heinrich; Viola H. A. Heinrich; Stephen Sitch; Thais M. Rosan; Celso H. L. Silva-Junior; Celso H. L. Silva-Junior; Celso H. L. Silva-Junior; Luiz E. O. C. Aragão; Luiz E. O. C. Aragão;The use of Earth Observation data to monitor forests in space and time is crucial to our knowledge of forest dynamics at local, regional and global scales. Understanding carbon dynamics in forests is critical given the globally important carbon sink of tropical forests, which is declining due to climate change, deforestation and forest degradation (Hubau et al., 2020; Gatti et al., 2021; Fawcett et al., 2022). However, post-disturbance forest regrowth is also crucial in determining the extent of the carbon imbalance due to the magnitude of opposing processes of disturbance (carbon loss) and regrowth (carbon gain) (Fawcett et al., 2022). Perhaps nowhere is this more crucial to understand than in the Amazon, the largest tropical forested area on earth, storing approximately a quarter of the global aboveground biomass carbon (AGC) stocks (Fawcett et al., 2022). However, deforestation and degradation in the Amazon has been rising again in recent years, and the southeast of the Brazilian Amazon is now acting as a net carbon source (Gatti et al., 2021). Secondary forests, forests naturally regrowing on areas of previously deforested, now abandoned lands, provide one way to help counterbalance this declining sink. Globally, passive and active forest restoration accounts for about 13% of the cost-effective land-based climate mitigation potential (Roe et al., 2021). Approximately half of secondary forests in Brazil are found in the Amazon, accounting for <2% of the country's area (~160,000 km2) (Almeida et al., 2016; TerraClass, 2023) but have a considerable climate mitigation potential within Brazil's Nationally Determined Contribution (up to 5% contribution by 2030) (Heinrich et al., 2021). In this paper, we extend and combine the work of two previously published studies identifying secondary forest age (Silva et al., 2020) and their associated aboveground carbon recovery rates (Heinrich et al., 2021), publishing the full and updated temporal record of these datasets in a user-friendly toolkit called “RE:Growth” (https://ee-regrowth.projects.earthengine.app/view/regrowth). Based in Google Earth Engine (GEE), the RE:Growth toolkit can require little to no programming language knowledge and can be applied from local scale to the whole Brazilian Amazon biome. The aim of this toolkit is for it to be applicable to a range of users, importantly forest restoration project developers, as well as researchers, policymakers and other stakeholders. The toolkit can provide evidence-based information on secondary forests within a region of interest in the Brazilian Amazon, such as jurisdictional boundaries, which are often the most relevant for stakeholders and practitioners. For example, the toolkit can be used for providing spatial and quantitative data to inform spatial prioritization of secondary forest conservation and expansion.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesFrontiers in Forests and Global ChangeArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesFrontiers in Forests and Global ChangeArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, NetherlandsPublisher:Elsevier BV Hoek van Dijke, Anne J.; Orth, René; Teuling, Adriaan J.; Herold, Martin; Schlerf, Martin; Migliavacca, Mirco; Machwitz, Miriam; van Hateren, Theresa C.; Yu, Xin; Mallick, Kaniska;Temperate forests and grasslands have different drought response strategies. Trees often control their stomatal opening to reduce water loss to prevent hydraulic failure and ensure the sustainable above-ground biomass production. In contrast, grasses generally have a less strong stomatal control and maintain high photosynthesis and transpiration until the soil moisture gets depleted. That is when their leaves wilt and the grasslands reduce their aboveground green biomass. Both the increased stomatal control and the reduction in aboveground biomass decrease the canopy-surface conductance and decrease the exchange of water and carbon between the leaves and the atmosphere. Here, we study to which extent remote sensing data reflect the drought-induced reduction in canopy-surface conductance for forests and grasslands. We use eddy covariance observations over 63 sites across the northern hemisphere to infer the conductance. We identify severe droughts from low soil moisture content and reduced canopy-surface conductance. We further analysed how the drought response is reflected in thermal and optical data derived from MODIS satellite data. The results show that the land surface temperature increases with drought-induced reductions in canopy-surface conductance for both forests and grasslands. By contrast, the optical indices (e.g., the normalized difference vegetation index) show a much stronger response for grasslands as compared to the forests. We conclude that the different canopy-level drought response strategies of trees and grasses are widespread and that these different responses are reflected in remote sensing data. Hence, a combination of thermal and optical satellite data should be used to monitor and study vegetation drought responses of forests and grasslands to ensure accurate inference on the implications on water, energy, and carbon fluxes.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.agrformet.2023.109635&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, Belgium, Sweden, Finland, Denmark, United Kingdom, France, Denmark, Switzerland, Italy, Belgium, Netherlands, Italy, FrancePublisher:Springer Science and Business Media LLC Funded by:EC | SUPER-GEC| SUPER-GMingjuanXie 1; 2; 3; 4; 5; 63; Xiaofei Ma 1; 63; YuangangWang 1; 3; Chaofan Li 6; Haiyang Shi 7; XiuliangYuan1; Olaf Hellwich8; Chunbo Chen1; WenqiangZhang 1; 2; 3; 4; 5; Chen Zhang 1; 3; Qing Ling 1; 3; RuixiangGao 1; 3; Yu Zhang 1; 2; 3; 4; 5; Friday Uchenna Ochege 1; 9; Amaury Frankl 2; Philippe De Maeyer1; 2; 3; 4; 5; Nina Buchmann 10; Iris Feigenwinter10; Jørgen E. Olesen 11; Radoslaw Juszczak12; Adrien Jacotot 13; Aino Korrensalo14; 15; Andrea Pitacco 16; AndrejVarlagin 17; Ankit Shekhar 10; Annalea Lohila 18; 19; Arnaud Carrara 20; Aurore Brut21; Bart Kruijt 22; Benjamin Loubet23; Bernard Heinesch24; Bogdan Chojnicki12; Carole Helfter 25; CarolineVincke26; Changliang Shao27; Christian Bernhofer 28; Christian Brümmer 29; ChristianWille 30; Eeva-StiinaTuittila 31; Eiko Nemitz25; Franco Meggio 16; Gang Dong32; Gary Lanigan33; Georg Niedrist 34; GeorgWohlfahrt 35; GuoyiZhou36; IgnacioGoded 37; ThomasGruenwald 28; Janusz Olejnik 38; Joachim Jansen 39; Johan Neirynck 40; Juha-PekkaTuovinen 18; JunhuiZhang41; Katja Klumpp 42; Kim Pilegaard43; Ladislav ?igut 44; Leif Klemedtsson 45; LucaTezza 16; Lukas Hörtnagl 10; Marek Urbaniak 38; Marilyn Roland 46; Marius Schmidt 47; MarkA. Sutton25; Markus Hehn28; Matthew Saunders 48; Matthias Mauder28; MikaAurela 18; Mika Korkiakoski 18; Mingyuan Du 49; NadiaVendrame 50; Natalia Kowalska 44; PaulG. Leahy 51; PavelAlekseychik52; Peili Shi 53; PerWeslien 45; Shiping Chen54; Silvano Fares 55; Thomas Friborg 56; TiphaineTallec21; Tomomichi Kato 57; Torsten Sachs 30; Trofm Maximov58; Umberto Morra di Cella59; Uta Moderow 28; Yingnian Li 60; Yongtao He53; Yoshiko Kosugi61; Geping Luo;handle: 20.500.11850/631340 , 10138/567175 , 10067/2004350151162165141 , 1854/LU-01HMY02F2HE8HWWWDV7YSWN8DJ
pmid: 37679357
pmc: PMC10485062
Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R²), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002–2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983–2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics. Scientific Data, 10 ISSN:2052-4463
Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentGhent University Academic BibliographyArticle . 2023Data 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.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentGhent University Academic BibliographyArticle . 2023Data 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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description Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:Elsevier BV David N. Steger; Richard L. Peters; Theresa Blume; Alexander G. Hurley; Daniel Balanzategui; Daniel F. Balting; Ingo Heinrich;Tree-specific canopy conductance (Gc) and its adjustment play a critical role in mitigating excess water loss in changing environmental conditions. However, the change of Gc sensitivity to environmental conditions due to drought remains unclear for European tree species. Here we quantified the environmental operational space of Gc, i.e., the water supply (soil moisture, tree water deficit) and demand conditions (vapor pressure deficit) under which Gc ≥ 50% is possible (Gc50OS), at two sites with different soil water availability for three common European tree species. We collected sap flow and dendrometer measurements for co-occurring Pinus sylvestris, Fagus sylvatica and Quercus petraea growing under different soil hydrological conditions (drier/wetter). These measurements were combined with meteorological variables and soil moisture conditions in five depths. Dendrometer measurements were used to confirm soil water availability patterns. For all analyses, the contrasting soil hydrology between sites was the main driver of Gc response. At the drier sites, F. sylvatica and P. sylvestris reduced their water consumption in response to decreasing soil water supply earlier in the growing season than Q. petraea. However, our analysis on the Gc50OS revealed that at the drier sites, F. sylvatica and Q. petraea reduced the extent of their Gc50OS to a higher degree than P. sylvestris. This indicates a higher level of Gc50OS adjustment to the drier site conditions for the two broadleaved species. These differences were more pronounced when using the dendrometer-derived tree internal water status as proxy for tree water supply. Our results provide preliminary evidence for diverging short-term Gc responses when temperate trees are exposed to prolonged reduction in water availability. These findings suggest that Gc50OS can help to constrain species-specific predictions of water use by mature trees, especially when combined with high-resolution water potential measurements.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2024License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2024 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2024License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2024 . 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=10.1016/j.agrformet.2023.109850&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 GermanyPublisher:American Geophysical Union (AGU) Authors: Tanja Herbst; Matthias Fuchs; Susanne Liebner; Claire C. Treat;Tanja Herbst; Matthias Fuchs; Susanne Liebner; Claire C. Treat;doi: 10.1029/2023jg007590
AbstractArctic warming increases the degradation of permafrost soils but little is known about floodplain soils in the permafrost region. This study quantifies soil organic carbon (SOC) and soil nitrogen stocks, and the potential CH4 and CO2 production from seven cores in the active floodplains in the Lena River Delta, Russia. The soils were sandy but highly heterogeneous, containing deep, organic rich deposits with >60% SOC stored below 30 cm. The mean SOC stocks in the top 1 m were 12.9 ± 6.0 kg C m−2. Grain size analysis and radiocarbon ages indicated highly dynamic environments with sediment re‐working. Potential CH4 and CO2 production from active floodplains was assessed using a 1‐year incubation at 20°C under aerobic and anaerobic conditions. Cumulative aerobic CO2 production mineralized a mean 4.6 ± 2.8% of initial SOC. The mean cumulative aerobic:anaerobic C production ratio was 2.3 ± 0.9. Anaerobic CH4 production comprised 50 ± 9% of anaerobic C mineralization; rates were comparable or exceeded those for permafrost region organic soils. Potential C production from the incubations was correlated with total organic carbon and varied strongly over space (among cores) and depth (active layer vs. permafrost). This study provides valuable information on the carbon cycle dynamics from active floodplains in the Lena River Delta and highlights the key spatial variability, both among sites and with depth, and the need to include these dynamic permafrost environments in future estimates of the permafrost carbon‐climate feedback.
Electronic Publicati... arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterGFZ German Research Centre for GeosciencesArticle . 2024License: CC BY NC NDData sources: GFZ German Research Centre for GeosciencesJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Electronic Publicati... arrow_drop_down Electronic Publication Information CenterArticle . 2024Data sources: Electronic Publication Information CenterGFZ German Research Centre for GeosciencesArticle . 2024License: CC BY NC NDData sources: GFZ German Research Centre for GeosciencesJournal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024 United KingdomPublisher:Institute of Electrical and Electronics Engineers (IEEE) Funded by:UKRI | Academic Centre of Excell...UKRI| Academic Centre of Excellence in Cyber Security Research - University of SouthamptonBasel Halak; Thomas Gibson; Millicent Henley; Cristin-Bianca Botea; Benjamin Heath; Sayedur Khan;The accelerated development of quantum computers poses a direct threat to all current standards of public key encryption, for example, the Shor algorithm exploits the superposition state of the qubits to solve the problem of integer factorization in polynomial time, rendering all systems whose security relies on this hard mathematical problem not secure. Public key encryption algorithms are used in a multitude of applications that form the core of the digital world (e.g., emails, banking, digital currency, defense, and communication.). The prospects of a quantum machine that can break such systems are too risky to ignore, even if such a computer still needs thirty years to build. This is because adversaries can be storing data now to decrypt later aka. SNLD attack, moreover, some systems have an operational lifetime that spans more than thirty years (e.g., defense, aviation industry). Consequently, the work has already started to develop quantum-attack resilient security schemes. The number of Internet of Things (IoT) devices is expected to be around 29 billion in 2030, forming a significant portion of all computing machines. Most of these will be implemented as embedded systems with limited resources. Consequently, assessing the energy and computational overheads of the quantum-attack resilient security schemes is vital. This work presents a comprehensive study that evaluates the energy and performance costs of the proposed solutions in resource-constrained devices, in comparison with the existing schemes. This was achieved through the development of a testbed that emulates a client-server configuration, wherein both devices perform mutual authentication and then agree on a shared key using the TLS protocol. A Raspberry Pi 3b+ was used as a server, and a client in the first set of experiments. Raspberry Pi Pico W was the client in the second group of tests. The results of the evaluation have shown that Kyber1-Dilithuim-2 is the most resource-efficient solution, it outperforms all other PQC algorithms, including the current scheme that uses elliptic curve cryptography. Our study has also shown the digital signature scheme Sphinx+ is associated with significant latency and energy costs so may not be suitable for IoT-type devices.
e-Prints Soton 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 Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:IOP Publishing Funded by:UKRI | Monitoring a large Sargas..., UKRI | Teleconnected SARgassum r...UKRI| Monitoring a large Sargassum bloom subject to a major volcanic eruption (MONISARG) ,UKRI| Teleconnected SARgassum risks across the Atlantic: building capacity for TRansformational Adaptation in the Caribbean and West Africa (SARTRAC)Y A Fidai; J Dash; R Marsh; H A Oxenford; L Biermann; N Martin; E L Tompkins;Abstract Pelagic sargassum (S fluitans and S natans) algal blooms and beach landings have become a regular occurrence in the Tropical Atlantic Basin since 2011; they have a variety of impacts on the marine ecosystem and blue economy. To reduce the impacts and enable effective management, forecasting and monitoring of the blooms are essential. Challenges associated with use of satellite imagery for sargassum detection in the Tropical Atlantic are spatial resolution and cloud cover, which is particularly dense in this region due to the inter-tropical convergence zone, tropical storms and hurricanes. Successful models of forecasting and prediction of pelagic sargassum are hindered by unreliable satellite data, uncertainty around windage and as well as growth and mortality. In the longer term, we aim to improve the forecast models of pelagic sargassum mat movements in open oceans by introducing evidence of the speed of travel, changing mat morphology, and size and health status of sargassum mats. To achieve this, we deployed eight trackers on floating sargassum mats in the Western Tropical Atlantic. In addition, we explore the coincidence of surface currents, wind stress and sea surface temperature as a parameter for growth on the tracker pathways. When used in conjunction with both remote sensing methods and climate data (wind, current and sea temperature), we find that GPS tracker data can facilitate more reliable monitoring of sargassum transport pathways, helps to overcome satellite-based challenges as well as model based uncertainties, and may improve the accuracy and general utility of sargassum early warning systems.
e-Prints Soton arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton arrow_drop_down Environmental Research CommunicationsArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 France, Germany, United KingdomPublisher:Elsevier BV Authors: Rizzo, Rodnei; Wadoux, Alexandre, M.J.-C; Demattê, José A.M.; Minasny, Budiman; +30 AuthorsRizzo, Rodnei; Wadoux, Alexandre, M.J.-C; Demattê, José A.M.; Minasny, Budiman; Barrón, Vidal; Ben-Dor, Eyal; Francos, Nicolas; Savin, Igor; Poppiel, Raul; Silvero, Nelida E.Q.; Terra, Fabrício da Silva; Rosin, Nícolas Augusto; Rosas, Jorge Tadeu Fim; Greschuk, Lucas Tadeu; Ballester, Maria V.R.; Gómez, Andrés Mauricio Rico; Belllinaso, Henrique; Safanelli, José Lucas; Chabrillat, Sabine; Fiorio, Peterson; Das, Bhabani Sankar; Malone, Brendan; Zalidis, George; Tziolas, Nikolaos; Tsakiridis, Nikolaos; Karyotis, Konstantinos; Samarinas, Nikiforos; Kalopesa, Eleni; Gholizadeh, Asa; Shepherd, Keith; Milewski, Robert; Vaudour, Emmanuelle; Wang, Changkun; Salama, Elsayed Said Mohamed;Abstract Soil color is a key indicator of soil properties and conditions, exerting influence on both agronomic and environmental variables. Conventional methods for soil color determination have come under scrutiny due to their limited accuracy and reliability. In response to these concerns, we developed an innovative system that leverages 35 years of satellite imagery in conjunction with in-situ soil spectral measurements. This approach enables the creation of a global soil color map with a fine spatial resolution of 30 m x 30 m. The system initially identifies bare earth areas worldwide using reflectance bands acquired from Landsat 4 through Landsat 8 between 1985 and 2020. Soil color was quantified using the CIE-XYZ coordinates, utilizing 8005 soil spectral measurements within the visible range (380–780 nm) as ground truth data. We established transfer functions to convert Landsat reflectance bands to standardized XYZ color coordinates. These transfer functions were subsequently applied to images of bare surfaces, covering approximately 38.5% of the Earth's surface. We validated the resulting global soil color map using statistical indices derived from an independent set of ground-truth spectral data, demonstrating a high degree of agreement. By creating the world's first global soil color map, we have set a baseline for future spatial and temporal monitoring of soil conditions, thus enhancing our understanding and management of our planet's vital soil resources. International audience
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023Data sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Rothamsted RepositoryArticle . 2023 . Peer-reviewedLicense: Elsevier TDMMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04346311/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023Data sources: GFZ German Research Centre for GeosciencesRemote Sensing of Environment; Rothamsted RepositoryArticle . 2023 . Peer-reviewedLicense: Elsevier TDMMémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04346311/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 United KingdomPublisher:MDPI AG Authors: Leyang Li; Guixing Cao; Jun Liu; Xiaohao Cai;Leyang Li; Guixing Cao; Jun Liu; Xiaohao Cai;The existing image matching methods for remote sensing scenes are usually based on local features. The most common local features like SIFT can be used to extract point features. However, this kind of methods may extract too many keypoints on the background, resulting in low attention to the main object in a single image, increasing resource consumption and limiting their performance. To address this issue, we propose a method that could be implemented well on resource-limited satellites for remote sensing images ship matching by leveraging line features. A keypoint extraction strategy called line feature based keypoint detection (LFKD) is designed using line features to choose and filter keypoints. It can strengthen the features at corners and edges of objects and also can significantly reduce the number of keypoints that cause false matches. We also present an end-to-end matching process dependent on a new crop patching function, which helps to reduce complexity. The matching accuracy achieved by the proposed method reaches 0.972 with only 313 M memory and 138 ms testing time. Compared to the state-of-the-art methods in remote sensing scenes in extensive experiments, our keypoint extraction method can be combined with all existing CNN models that can obtain descriptors, and also improve the matching accuracy. The results show that our method can achieve ∼50% test speed boost and ∼30% memory saving in our created dataset and public datasets.
e-Prints Soton 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 Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert e-Prints Soton 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=10.3390/s23239479&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Switzerland, Belgium, Italy, United Kingdom, Italy, Germany, Austria, Germany, Italy, Denmark, France, Italy, Italy, NetherlandsPublisher:Springer Science and Business Media LLC Lidong Mo; Constantin M. Zohner; Peter B. Reich; Jingjing Liang; Sergio de Miguel; Gert-Jan Nabuurs; Susanne S. Renner; Johan van den Hoogen; Arnan Araza; Martin Herold; Leila Mirzagholi; Haozhi Ma; Colin Averill; Oliver L. Phillips; Javier G. P. Gamarra; Iris Hordijk; Devin Routh; Meinrad Abegg; Yves C. Adou Yao; Giorgio Alberti; Angelica M. Almeyda Zambrano; Braulio Vilchez Alvarado; Esteban Alvarez-Dávila; Patricia Alvarez-Loayza; Luciana F. Alves; Iêda Amaral; Christian Ammer; Clara Antón-Fernández; Alejandro Araujo-Murakami; Luzmila Arroyo; Valerio Avitabile; Gerardo A. Aymard; Timothy R. Baker; Radomir Bałazy; Olaf Banki; Jorcely G. Barroso; Meredith L. Bastian; Jean-Francois Bastin; Luca Birigazzi; Philippe Birnbaum; Robert Bitariho; Pascal Boeckx; Frans Bongers; Olivier Bouriaud; Pedro H. S. Brancalion; Susanne Brandl; Francis Q. Brearley; Roel Brienen; Eben N. Broadbent; Helge Bruelheide; Filippo Bussotti; Roberto Cazzolla Gatti; Ricardo G. César; Goran Cesljar; Robin L. Chazdon; Han Y. H. Chen; Chelsea Chisholm; Hyunkook Cho; Emil Cienciala; Connie Clark; David Clark; Gabriel D. Colletta; David A. Coomes; Fernando Cornejo Valverde; José J. Corral-Rivas; Philip M. Crim; Jonathan R. Cumming; Selvadurai Dayanandan; André L. de Gasper; Mathieu Decuyper; Géraldine Derroire; Ben DeVries; Ilija Djordjevic; Jiri Dolezal; Aurélie Dourdain; Nestor Laurier Engone Obiang; Brian J. Enquist; Teresa J. Eyre; Adandé Belarmain Fandohan; Tom M. Fayle; Ted R. Feldpausch; Leandro V. Ferreira; Leena Finér; Markus Fischer; Christine Fletcher; Lorenzo Frizzera; Damiano Gianelle; Henry B. Glick; David J. Harris; Andrew Hector; Andreas Hemp; Geerten Hengeveld; Bruno Hérault; John L. Herbohn; Annika Hillers; Eurídice N. Honorio Coronado; Cang Hui; Thomas Ibanez; Nobuo Imai; Andrzej M. Jagodziński; Bogdan Jaroszewicz; Vivian Kvist Johannsen; Carlos A. Joly; Tommaso Jucker; Ilbin Jung; Viktor Karminov; Kuswata Kartawinata; Elizabeth Kearsley; David Kenfack; Deborah K. Kennard; Sebastian Kepfer-Rojas; Gunnar Keppel; Mohammed Latif Khan; Timothy J. Killeen; Hyun Seok Kim; Kanehiro Kitayama; Michael Köhl; Henn Korjus; Florian Kraxner; Dmitry Kucher; Diana Laarmann; Mait Lang; Huicui Lu; Natalia V. Lukina; Brian S. Maitner; Yadvinder Malhi; Eric Marcon; Beatriz Schwantes Marimon; Ben Hur Marimon-Junior; Andrew R. Marshall; Emanuel H. Martin; Jorge A. Meave; Omar Melo-Cruz; Casimiro Mendoza; Irina Mendoza-Polo; Stanislaw Miscicki; Cory Merow; Abel Monteagudo Mendoza; Vanessa S. Moreno; Sharif A. Mukul; Philip Mundhenk; María Guadalupe Nava-Miranda; David Neill; Victor J. Neldner; Radovan V. Nevenic; Michael R. Ngugi; Pascal A. Niklaus; Jacek Oleksyn; Petr Ontikov; Edgar Ortiz-Malavasi; Yude Pan; Alain Paquette; Alexander Parada-Gutierrez; Elena I. Parfenova; Minjee Park; Marc Parren; Narayanaswamy Parthasarathy; Pablo L. Peri; Sebastian Pfautsch; Nicolas Picard; Maria Teresa F. Piedade; Daniel Piotto; Nigel C. A. Pitman; Axel Dalberg Poulsen; John R. Poulsen; Hans Pretzsch; Freddy Ramirez Arevalo; Zorayda Restrepo-Correa; Mirco Rodeghiero; Samir G. Rolim; Anand Roopsind; Francesco Rovero; Ervan Rutishauser; Purabi Saikia; Christian Salas-Eljatib; Philippe Saner; Peter Schall; Mart-Jan Schelhaas; Dmitry Schepaschenko; Michael Scherer-Lorenzen; Bernhard Schmid; Jochen Schöngart; Eric B. Searle; Vladimír Seben; Josep M. Serra-Diaz; Douglas Sheil; Anatoly Z. Shvidenko; Javier E. Silva-Espejo; Marcos Silveira; James Singh; Plinio Sist; Ferry Slik; Bonaventure Sonké; Alexandre F. Souza; Krzysztof J. Stereńczak; Jens-Christian Svenning; Miroslav Svoboda; Ben Swanepoel; Natalia Targhetta; Nadja Tchebakova; Hans ter Steege; Elena Tikhonova; Peter M. Umunay; Fons van der Plas; Tran Van Do; Michael E. van Nuland; Hans Verbeeck; Helder Viana; Alexander C. Vibrans; Simone Vieira; Klaus von Gadow; Susan K. Wiser; Chunyu Zhang; Irie C. Zo-Bi; Thomas W. Crowther;handle: 11572/397809 , 10449/82975 , 1854/LU-01HJ90PXBVC60M99BF61K973CZ , 11390/1266587 , 2158/1345365 , 11585/961749
pmid: 37957399
pmc: PMC10700142
handle: 11572/397809 , 10449/82975 , 1854/LU-01HJ90PXBVC60M99BF61K973CZ , 11390/1266587 , 2158/1345365 , 11585/961749
pmid: 37957399
pmc: PMC10700142
Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify carbon losses from global forests 2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced 6 and satellite-derived approaches 2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea 2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets. International audience
Archivio istituziona... arrow_drop_down Flore (Florence Research Repository)Article . 2023Data sources: Flore (Florence Research Repository)Nature; Archivio istituzionale della ricerca - Fondazione Edmund MachArticle . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04290984/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 8 citations 8 popularity Average influence Average impulse Top 10% Powered by BIP!more_vert Archivio istituziona... arrow_drop_down Flore (Florence Research Repository)Article . 2023Data sources: Flore (Florence Research Repository)Nature; Archivio istituzionale della ricerca - Fondazione Edmund MachArticle . 2023 . Peer-reviewedLicense: CC BYBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemBern Open Repository and Information System (BORIS)Article . 2023 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Publikationenserver der Georg-August-Universität GöttingenArticle . 2023Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04290984/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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=10.1038/s41586-023-06723-z&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 GermanyPublisher:Frontiers Media SA Authors: Viola H. A. Heinrich; Viola H. A. Heinrich; Viola H. A. Heinrich; Stephen Sitch; +6 AuthorsViola H. A. Heinrich; Viola H. A. Heinrich; Viola H. A. Heinrich; Stephen Sitch; Thais M. Rosan; Celso H. L. Silva-Junior; Celso H. L. Silva-Junior; Celso H. L. Silva-Junior; Luiz E. O. C. Aragão; Luiz E. O. C. Aragão;The use of Earth Observation data to monitor forests in space and time is crucial to our knowledge of forest dynamics at local, regional and global scales. Understanding carbon dynamics in forests is critical given the globally important carbon sink of tropical forests, which is declining due to climate change, deforestation and forest degradation (Hubau et al., 2020; Gatti et al., 2021; Fawcett et al., 2022). However, post-disturbance forest regrowth is also crucial in determining the extent of the carbon imbalance due to the magnitude of opposing processes of disturbance (carbon loss) and regrowth (carbon gain) (Fawcett et al., 2022). Perhaps nowhere is this more crucial to understand than in the Amazon, the largest tropical forested area on earth, storing approximately a quarter of the global aboveground biomass carbon (AGC) stocks (Fawcett et al., 2022). However, deforestation and degradation in the Amazon has been rising again in recent years, and the southeast of the Brazilian Amazon is now acting as a net carbon source (Gatti et al., 2021). Secondary forests, forests naturally regrowing on areas of previously deforested, now abandoned lands, provide one way to help counterbalance this declining sink. Globally, passive and active forest restoration accounts for about 13% of the cost-effective land-based climate mitigation potential (Roe et al., 2021). Approximately half of secondary forests in Brazil are found in the Amazon, accounting for <2% of the country's area (~160,000 km2) (Almeida et al., 2016; TerraClass, 2023) but have a considerable climate mitigation potential within Brazil's Nationally Determined Contribution (up to 5% contribution by 2030) (Heinrich et al., 2021). In this paper, we extend and combine the work of two previously published studies identifying secondary forest age (Silva et al., 2020) and their associated aboveground carbon recovery rates (Heinrich et al., 2021), publishing the full and updated temporal record of these datasets in a user-friendly toolkit called “RE:Growth” (https://ee-regrowth.projects.earthengine.app/view/regrowth). Based in Google Earth Engine (GEE), the RE:Growth toolkit can require little to no programming language knowledge and can be applied from local scale to the whole Brazilian Amazon biome. The aim of this toolkit is for it to be applicable to a range of users, importantly forest restoration project developers, as well as researchers, policymakers and other stakeholders. The toolkit can provide evidence-based information on secondary forests within a region of interest in the Brazilian Amazon, such as jurisdictional boundaries, which are often the most relevant for stakeholders and practitioners. For example, the toolkit can be used for providing spatial and quantitative data to inform spatial prioritization of secondary forest conservation and expansion.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesFrontiers in Forests and Global ChangeArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesFrontiers in Forests and Global ChangeArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/ffgc.2023.1230734&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, NetherlandsPublisher:Elsevier BV Hoek van Dijke, Anne J.; Orth, René; Teuling, Adriaan J.; Herold, Martin; Schlerf, Martin; Migliavacca, Mirco; Machwitz, Miriam; van Hateren, Theresa C.; Yu, Xin; Mallick, Kaniska;Temperate forests and grasslands have different drought response strategies. Trees often control their stomatal opening to reduce water loss to prevent hydraulic failure and ensure the sustainable above-ground biomass production. In contrast, grasses generally have a less strong stomatal control and maintain high photosynthesis and transpiration until the soil moisture gets depleted. That is when their leaves wilt and the grasslands reduce their aboveground green biomass. Both the increased stomatal control and the reduction in aboveground biomass decrease the canopy-surface conductance and decrease the exchange of water and carbon between the leaves and the atmosphere. Here, we study to which extent remote sensing data reflect the drought-induced reduction in canopy-surface conductance for forests and grasslands. We use eddy covariance observations over 63 sites across the northern hemisphere to infer the conductance. We identify severe droughts from low soil moisture content and reduced canopy-surface conductance. We further analysed how the drought response is reflected in thermal and optical data derived from MODIS satellite data. The results show that the land surface temperature increases with drought-induced reductions in canopy-surface conductance for both forests and grasslands. By contrast, the optical indices (e.g., the normalized difference vegetation index) show a much stronger response for grasslands as compared to the forests. We conclude that the different canopy-level drought response strategies of trees and grasses are widespread and that these different responses are reflected in remote sensing data. Hence, a combination of thermal and optical satellite data should be used to monitor and study vegetation drought responses of forests and grasslands to ensure accurate inference on the implications on water, energy, and carbon fluxes.
GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert GFZ German Research ... arrow_drop_down GFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesAgricultural and Forest MeteorologyArticle . 2023 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 Germany, Belgium, Sweden, Finland, Denmark, United Kingdom, France, Denmark, Switzerland, Italy, Belgium, Netherlands, Italy, FrancePublisher:Springer Science and Business Media LLC Funded by:EC | SUPER-GEC| SUPER-GMingjuanXie 1; 2; 3; 4; 5; 63; Xiaofei Ma 1; 63; YuangangWang 1; 3; Chaofan Li 6; Haiyang Shi 7; XiuliangYuan1; Olaf Hellwich8; Chunbo Chen1; WenqiangZhang 1; 2; 3; 4; 5; Chen Zhang 1; 3; Qing Ling 1; 3; RuixiangGao 1; 3; Yu Zhang 1; 2; 3; 4; 5; Friday Uchenna Ochege 1; 9; Amaury Frankl 2; Philippe De Maeyer1; 2; 3; 4; 5; Nina Buchmann 10; Iris Feigenwinter10; Jørgen E. Olesen 11; Radoslaw Juszczak12; Adrien Jacotot 13; Aino Korrensalo14; 15; Andrea Pitacco 16; AndrejVarlagin 17; Ankit Shekhar 10; Annalea Lohila 18; 19; Arnaud Carrara 20; Aurore Brut21; Bart Kruijt 22; Benjamin Loubet23; Bernard Heinesch24; Bogdan Chojnicki12; Carole Helfter 25; CarolineVincke26; Changliang Shao27; Christian Bernhofer 28; Christian Brümmer 29; ChristianWille 30; Eeva-StiinaTuittila 31; Eiko Nemitz25; Franco Meggio 16; Gang Dong32; Gary Lanigan33; Georg Niedrist 34; GeorgWohlfahrt 35; GuoyiZhou36; IgnacioGoded 37; ThomasGruenwald 28; Janusz Olejnik 38; Joachim Jansen 39; Johan Neirynck 40; Juha-PekkaTuovinen 18; JunhuiZhang41; Katja Klumpp 42; Kim Pilegaard43; Ladislav ?igut 44; Leif Klemedtsson 45; LucaTezza 16; Lukas Hörtnagl 10; Marek Urbaniak 38; Marilyn Roland 46; Marius Schmidt 47; MarkA. Sutton25; Markus Hehn28; Matthew Saunders 48; Matthias Mauder28; MikaAurela 18; Mika Korkiakoski 18; Mingyuan Du 49; NadiaVendrame 50; Natalia Kowalska 44; PaulG. Leahy 51; PavelAlekseychik52; Peili Shi 53; PerWeslien 45; Shiping Chen54; Silvano Fares 55; Thomas Friborg 56; TiphaineTallec21; Tomomichi Kato 57; Torsten Sachs 30; Trofm Maximov58; Umberto Morra di Cella59; Uta Moderow 28; Yingnian Li 60; Yongtao He53; Yoshiko Kosugi61; Geping Luo;handle: 20.500.11850/631340 , 10138/567175 , 10067/2004350151162165141 , 1854/LU-01HMY02F2HE8HWWWDV7YSWN8DJ
pmid: 37679357
pmc: PMC10485062
Simulating the carbon-water fluxes at more widely distributed meteorological stations based on the sparsely and unevenly distributed eddy covariance flux stations is needed to accurately understand the carbon-water cycle of terrestrial ecosystems. We established a new framework consisting of machine learning, determination coefficient (R²), Euclidean distance, and remote sensing (RS), to simulate the daily net ecosystem carbon dioxide exchange (NEE) and water flux (WF) of the Eurasian meteorological stations using a random forest model or/and RS. The daily NEE and WF datasets with RS-based information (NEE-RS and WF-RS) for 3774 and 4427 meteorological stations during 2002–2020 were produced, respectively. And the daily NEE and WF datasets without RS-based information (NEE-WRS and WF-WRS) for 4667 and 6763 meteorological stations during 1983–2018 were generated, respectively. For each meteorological station, the carbon-water fluxes meet accuracy requirements and have quasi-observational properties. These four carbon-water flux datasets have great potential to improve the assessments of the ecosystem carbon-water dynamics. Scientific Data, 10 ISSN:2052-4463
Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentGhent University Academic BibliographyArticle . 2023Data 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.euAccess RoutesGreen gold 1 citations 1 popularity Average influence Average impulse Average Powered by BIP!more_vert Scientific Data; NER... arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyCopenhagen University Research Information SystemArticle . 2023Data sources: Copenhagen University Research Information SystemGFZ German Research Centre for GeosciencesArticle . 2023License: CC BYData sources: GFZ German Research Centre for GeosciencesOnline Research Database In TechnologyArticle . 2023Data sources: Online Research Database In TechnologyHELDA - Digital Repository of the University of HelsinkiArticle . 2023 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiHAL Descartes; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.inrae.fr/hal-04232608/documentGhent University Academic BibliographyArticle . 2023Data 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=10.1038/s41597-023-02473-9&type=result"></script>'); --> </script>
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