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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Argentina, Argentina, NorwayPublisher:Wiley Funded by:EC | HOPEEC| HOPETovar, Carolina; Carril, Andrea F.; Gutiérrez, Alvaro G.; Ahrends, Antje; Fita, Lluis; Zaninelli, Pablo; Flombaum, Pedro; Abarzúa, Ana M.; Alarcón, Diego; Aschero, Valeria; Báez, Selene; Barros, Agustina; Carilla, Julieta; Ferrero, M. Eugenia; Flantua, Suzette G. A.; Gonzáles, Paúl; Menéndez, Claudio G.; Pérez‐Escobar, Oscar A.; Pauchard, Aníbal; Ruscica, Romina C.; Särkinen, Tiina; Sörensson, Anna A.; Srur, Ana; Villalba, Ricardo; Hollingsworth, Peter M.;AbstractAimClimate change is expected to impact mountain biodiversity by shifting species ranges and the biomes they shape. The extent and regional variation in these impacts are still poorly understood, particularly in the highly biodiverse Andes. Regional syntheses of climate change impacts on vegetation are pivotal to identify and guide research priorities. Here we review current data, knowledge and uncertainties in past, present and future climate change impacts on vegetation in the Andes.Location: Andes.Taxon: Plants.MethodsWe (i) conducted a literature review on Andean vegetation responses to past and contemporary climatic change, (ii) analysed future climate projections for different elevations and slope orientations at 19 Andean locations using an ensemble of model outputs from the Coupled Model Intercomparison Project 5, and (iii) calculated changes in the suitable climate envelope area of Andean biomes and compared these results to studies that used species distribution models.ResultsFuture climatic changes (2040–2070) are projected to be stronger at high‐elevation areas in the tropical Andes (up to 4°C under RCP 8.5), while in the temperate Andes temperature increases are projected to be up to 2°C. Under this worst‐case scenario, temperate deciduous forests and the grasslands/steppes from the Central and Southern Andes are predicted to show the greatest losses of suitable climatic space (30% and 17%–23%, respectively). The high vulnerability of these biomes contrasts with the low attention from researchers modelling Andean species distributions. Critical knowledge gaps include a lack of an Andean wide plant checklist, insufficient density of weather stations at high‐elevation areas, a lack of high‐resolution climatologies that accommodates the Andes' complex topography and climatic processes, insufficient data to model demographic and ecological processes, and low use of palaeo data for distribution modelling.Main conclusionsClimate change is likely to profoundly affect the extent and composition of Andean biomes. Temperate Andean biomes in particular are susceptible to substantial area contractions. There are, however, considerable challenges and uncertainties in modelling species and biome responses and a pressing need for a region‐wide approach to address knowledge gaps and improve understanding and monitoring of climate change impacts in these globally important biomes.
Journal of Biogeogra... arrow_drop_down University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/11250/3023662Data sources: Bielefeld Academic Search Engine (BASE)Bergen Open Research Archive - UiBArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd 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 60 citations 60 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Journal of Biogeogra... arrow_drop_down University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/11250/3023662Data sources: Bielefeld Academic Search Engine (BASE)Bergen Open Research Archive - UiBArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 United Kingdom, France, France, Italy, Netherlands, United Kingdom, United KingdomPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | A Socio-Ecological Observ..., EC | AMAZALERT, NSF | Collaborative Research: L... +11 projectsUKRI| A Socio-Ecological Observatory for the Southern African Woodlands ,EC| AMAZALERT ,NSF| Collaborative Research: LTREB: A natural laboratory for studying biodiversity, ecosystem function, and responses to environmental change from Amazonian lowlands to Andean treeline ,EC| GEOCARBON ,EC| TreeMort ,UKRI| SECO: Resolving the current and future carbon dynamics of the dry tropics ,UKRI| Nordeste ,UKRI| Biodiversity and ecosystem functioning in degraded and recovering Amazonian and Atlantic forests ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,EC| T-FORCES ,UKRI| ARBOLES: A trait-based Understanding of LATAM Forest Biodiversity and Resilience ,UKRI| NI: Lightning in African tropical forests: from tree mortality to carbon dynamics ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICASullivan, Martin; Phillips, Oliver; Galbraith, David; Almeida, Everton; de Oliveira, Edmar; Almeida, Jarcilene; Dávila, Esteban; Alves, Luciana; Andrade, Ana; Aragão, Luiz; Araujo-Murakami, Alejandro; Arets, Eric; Arroyo, Luzmila; Cruz, Omar; Baccaro, Fabrício; Baker, Timothy; Banki, Olaf; Baraloto, Christopher; Barlow, Jos; Barroso, Jorcely; Berenguer, Erika; Blanc, Lilian; Blundo, Cecilia; Bonal, Damien; Bongers, Frans; Bordin, Kauane; Brienen, Roel; Broggio, Igor; Burban, Benoit; Cabral, George; Camargo, José; Cardoso, Domingos; Carniello, Maria; Castro, Wendeson; de Lima, Haroldo; Cavalheiro, Larissa; Ribeiro, Sabina; Ramos, Sonia; Moscoso, Victor; Chave, Jerôme; Coelho, Fernanda; Comiskey, James; Valverde, Fernando; Costa, Flávia; Coutinho, Italo; da Costa, Antonio; de Medeiros, Marcelo; del Aguila Pasquel, Jhon; Derroire, Géraldine; Dexter, Kyle; Disney, Mat; Do Espírito Santo, Mário; Domingues, Tomas; Dourdain, Aurélie; Duque, Alvaro; Rangel, Cristabel; Elias, Fernando; Esquivel-Muelbert, Adriane; Farfan-Rios, William; Fauset, Sophie; Feldpausch, Ted; Fernandes, G; Ferreira, Joice; Nunes, Yule; Figueiredo, João; Cabreara, Karina; Gonzalez, Roy; Hernández, Lionel; Herrera, Rafael; Honorio Coronado, Eurídice; Huasco, Walter; Iguatemy, Mariana; Joly, Carlos; Kalamandeen, Michelle; Killeen, Timothy; Klipel, Joice; Klitgaard, Bente; Laurance, Susan; Laurance, William; Levesley, Aurora; Lewis, Simon; Lima Dan, Maurício; Lopez-Gonzalez, Gabriela; Magnusson, William; Malhi, Yadvinder; Malizia, Lucio; Malizia, Augustina; Manzatto, Angelo; Peña, Jose; Marimon, Beatriz; Marimon Junior, Ben; Martínez-Villa, Johanna; Reis, Simone; Metzker, Thiago; Milliken, William; Monteagudo-Mendoza, Abel; Moonlight, Peter; Morandi, Paulo; Moser, Pamela; Müller, Sandra; Nascimento, Marcelo; Negreiros, Daniel; Lima, Adriano; Vargas, Percy; Oliveira, Washington; Palacios, Walter; Pallqui Camacho, Nadir; Gutierrez, Alexander; Pardo Molina, Guido; Pedra de Abreu, Karla; Peña-Claros, Marielos; Pena Rodrigues, Pablo; Pennington, R; Pickavance, Georgia; Pipoly, John; Pitman, Nigel; Playfair, Maureen; Pontes-Lopes, Aline; Poorter, Lourens; Prestes, Nayane; Ramírez-Angulo, Hirma; Réjou-Méchain, Maxime; Reynel Rodriguez, Carlos; Rivas-Torres, Gonzalo; Rodrigues, Priscyla; de Jesus Rodrigues, Domingos; de Sousa, Thaiane; Rodrigues Pinto, José; Rodriguez M, Gina; Roucoux, Katherine; Ruokolainen, Kalle; Ryan, Casey; Revilla, Norma; Salomão, Rafael; Santos, Rubens; Sarkinen, Tiina; Scabin, Andressa; Bergamin, Rodrigo; Schietti, Juliana; de Meira Junior, Milton; Serrano, Julio; Silman, Miles; Silva, Richarlly; Silva, Camila; Silva, Jhonathan; Silveira, Marcos; Simon, Marcelo; Soto-Shareva, Yahn; Souza, Priscila; Souza, Rodolfo; Sposito, Tereza; Talbot, Joey; ter Steege, Hans; Terborgh, John; Thomas, Raquel; Toledo, Marisol; Torres-Lezama, Armando; Trujillo, William; van der Hout, Peter; Veloso, Maria; Vieira, Simone; Vilanova, Emilio; Villalobos Cayo, Jeanneth; Villela, Dora; Viscarra, Laura; Vos, Vincent; Wortel, Verginia; Ishida, Francoise; Zuidema, Pieter; Zwerts, Joeri;Abstract Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. Here, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial variation in wood density over tropical and sub-tropical South America. Our analysis refines previously identified east-west Amazon gradients in wood density, improves them by revealing fine-scale variation, and extends predictions into Andean, dry, and Atlantic forests. The results halve biomass prediction errors compared to a naïve scenario with no knowledge of spatial variation in wood density. Our findings will help improve remote sensing-based estimates of aboveground biomass carbon stocks across tropical South America.
Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd 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=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type 2022 Argentina, Argentina, NorwayPublisher:Wiley Funded by:EC | HOPEEC| HOPETovar, Carolina; Carril, Andrea F.; Gutiérrez, Alvaro G.; Ahrends, Antje; Fita, Lluis; Zaninelli, Pablo; Flombaum, Pedro; Abarzúa, Ana M.; Alarcón, Diego; Aschero, Valeria; Báez, Selene; Barros, Agustina; Carilla, Julieta; Ferrero, M. Eugenia; Flantua, Suzette G. A.; Gonzáles, Paúl; Menéndez, Claudio G.; Pérez‐Escobar, Oscar A.; Pauchard, Aníbal; Ruscica, Romina C.; Särkinen, Tiina; Sörensson, Anna A.; Srur, Ana; Villalba, Ricardo; Hollingsworth, Peter M.;AbstractAimClimate change is expected to impact mountain biodiversity by shifting species ranges and the biomes they shape. The extent and regional variation in these impacts are still poorly understood, particularly in the highly biodiverse Andes. Regional syntheses of climate change impacts on vegetation are pivotal to identify and guide research priorities. Here we review current data, knowledge and uncertainties in past, present and future climate change impacts on vegetation in the Andes.Location: Andes.Taxon: Plants.MethodsWe (i) conducted a literature review on Andean vegetation responses to past and contemporary climatic change, (ii) analysed future climate projections for different elevations and slope orientations at 19 Andean locations using an ensemble of model outputs from the Coupled Model Intercomparison Project 5, and (iii) calculated changes in the suitable climate envelope area of Andean biomes and compared these results to studies that used species distribution models.ResultsFuture climatic changes (2040–2070) are projected to be stronger at high‐elevation areas in the tropical Andes (up to 4°C under RCP 8.5), while in the temperate Andes temperature increases are projected to be up to 2°C. Under this worst‐case scenario, temperate deciduous forests and the grasslands/steppes from the Central and Southern Andes are predicted to show the greatest losses of suitable climatic space (30% and 17%–23%, respectively). The high vulnerability of these biomes contrasts with the low attention from researchers modelling Andean species distributions. Critical knowledge gaps include a lack of an Andean wide plant checklist, insufficient density of weather stations at high‐elevation areas, a lack of high‐resolution climatologies that accommodates the Andes' complex topography and climatic processes, insufficient data to model demographic and ecological processes, and low use of palaeo data for distribution modelling.Main conclusionsClimate change is likely to profoundly affect the extent and composition of Andean biomes. Temperate Andean biomes in particular are susceptible to substantial area contractions. There are, however, considerable challenges and uncertainties in modelling species and biome responses and a pressing need for a region‐wide approach to address knowledge gaps and improve understanding and monitoring of climate change impacts in these globally important biomes.
Journal of Biogeogra... arrow_drop_down University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/11250/3023662Data sources: Bielefeld Academic Search Engine (BASE)Bergen Open Research Archive - UiBArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd 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/jbi.14389&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 60 citations 60 popularity Top 10% influence Top 10% impulse Top 1% Powered by BIP!
more_vert Journal of Biogeogra... arrow_drop_down University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/11250/3023662Data sources: Bielefeld Academic Search Engine (BASE)Bergen Open Research Archive - UiBArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBadd 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/jbi.14389&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2025 United Kingdom, France, France, Italy, Netherlands, United Kingdom, United KingdomPublisher:Springer Science and Business Media LLC Publicly fundedFunded by:UKRI | A Socio-Ecological Observ..., EC | AMAZALERT, NSF | Collaborative Research: L... +11 projectsUKRI| A Socio-Ecological Observatory for the Southern African Woodlands ,EC| AMAZALERT ,NSF| Collaborative Research: LTREB: A natural laboratory for studying biodiversity, ecosystem function, and responses to environmental change from Amazonian lowlands to Andean treeline ,EC| GEOCARBON ,EC| TreeMort ,UKRI| SECO: Resolving the current and future carbon dynamics of the dry tropics ,UKRI| Nordeste ,UKRI| Biodiversity and ecosystem functioning in degraded and recovering Amazonian and Atlantic forests ,UKRI| BIOmes of Brasil - Resilience, rEcovery, and Diversity: BIO-RED ,EC| T-FORCES ,UKRI| ARBOLES: A trait-based Understanding of LATAM Forest Biodiversity and Resilience ,UKRI| NI: Lightning in African tropical forests: from tree mortality to carbon dynamics ,UKRI| TREMOR: Mechanisms and consequences of increasing TREe MORtality in Amazonian rainforests ,UKRI| Amazon Integrated Carbon Analysis / AMAZONICASullivan, Martin; Phillips, Oliver; Galbraith, David; Almeida, Everton; de Oliveira, Edmar; Almeida, Jarcilene; Dávila, Esteban; Alves, Luciana; Andrade, Ana; Aragão, Luiz; Araujo-Murakami, Alejandro; Arets, Eric; Arroyo, Luzmila; Cruz, Omar; Baccaro, Fabrício; Baker, Timothy; Banki, Olaf; Baraloto, Christopher; Barlow, Jos; Barroso, Jorcely; Berenguer, Erika; Blanc, Lilian; Blundo, Cecilia; Bonal, Damien; Bongers, Frans; Bordin, Kauane; Brienen, Roel; Broggio, Igor; Burban, Benoit; Cabral, George; Camargo, José; Cardoso, Domingos; Carniello, Maria; Castro, Wendeson; de Lima, Haroldo; Cavalheiro, Larissa; Ribeiro, Sabina; Ramos, Sonia; Moscoso, Victor; Chave, Jerôme; Coelho, Fernanda; Comiskey, James; Valverde, Fernando; Costa, Flávia; Coutinho, Italo; da Costa, Antonio; de Medeiros, Marcelo; del Aguila Pasquel, Jhon; Derroire, Géraldine; Dexter, Kyle; Disney, Mat; Do Espírito Santo, Mário; Domingues, Tomas; Dourdain, Aurélie; Duque, Alvaro; Rangel, Cristabel; Elias, Fernando; Esquivel-Muelbert, Adriane; Farfan-Rios, William; Fauset, Sophie; Feldpausch, Ted; Fernandes, G; Ferreira, Joice; Nunes, Yule; Figueiredo, João; Cabreara, Karina; Gonzalez, Roy; Hernández, Lionel; Herrera, Rafael; Honorio Coronado, Eurídice; Huasco, Walter; Iguatemy, Mariana; Joly, Carlos; Kalamandeen, Michelle; Killeen, Timothy; Klipel, Joice; Klitgaard, Bente; Laurance, Susan; Laurance, William; Levesley, Aurora; Lewis, Simon; Lima Dan, Maurício; Lopez-Gonzalez, Gabriela; Magnusson, William; Malhi, Yadvinder; Malizia, Lucio; Malizia, Augustina; Manzatto, Angelo; Peña, Jose; Marimon, Beatriz; Marimon Junior, Ben; Martínez-Villa, Johanna; Reis, Simone; Metzker, Thiago; Milliken, William; Monteagudo-Mendoza, Abel; Moonlight, Peter; Morandi, Paulo; Moser, Pamela; Müller, Sandra; Nascimento, Marcelo; Negreiros, Daniel; Lima, Adriano; Vargas, Percy; Oliveira, Washington; Palacios, Walter; Pallqui Camacho, Nadir; Gutierrez, Alexander; Pardo Molina, Guido; Pedra de Abreu, Karla; Peña-Claros, Marielos; Pena Rodrigues, Pablo; Pennington, R; Pickavance, Georgia; Pipoly, John; Pitman, Nigel; Playfair, Maureen; Pontes-Lopes, Aline; Poorter, Lourens; Prestes, Nayane; Ramírez-Angulo, Hirma; Réjou-Méchain, Maxime; Reynel Rodriguez, Carlos; Rivas-Torres, Gonzalo; Rodrigues, Priscyla; de Jesus Rodrigues, Domingos; de Sousa, Thaiane; Rodrigues Pinto, José; Rodriguez M, Gina; Roucoux, Katherine; Ruokolainen, Kalle; Ryan, Casey; Revilla, Norma; Salomão, Rafael; Santos, Rubens; Sarkinen, Tiina; Scabin, Andressa; Bergamin, Rodrigo; Schietti, Juliana; de Meira Junior, Milton; Serrano, Julio; Silman, Miles; Silva, Richarlly; Silva, Camila; Silva, Jhonathan; Silveira, Marcos; Simon, Marcelo; Soto-Shareva, Yahn; Souza, Priscila; Souza, Rodolfo; Sposito, Tereza; Talbot, Joey; ter Steege, Hans; Terborgh, John; Thomas, Raquel; Toledo, Marisol; Torres-Lezama, Armando; Trujillo, William; van der Hout, Peter; Veloso, Maria; Vieira, Simone; Vilanova, Emilio; Villalobos Cayo, Jeanneth; Villela, Dora; Viscarra, Laura; Vos, Vincent; Wortel, Verginia; Ishida, Francoise; Zuidema, Pieter; Zwerts, Joeri;Abstract Wood density is a critical control on tree biomass, so poor understanding of its spatial variation can lead to large and systematic errors in forest biomass estimates and carbon maps. The need to understand how and why wood density varies is especially critical in tropical America where forests have exceptional species diversity and spatial turnover in composition. As tree identity and forest composition are challenging to estimate remotely, ground surveys are essential to know the wood density of trees, whether measured directly or inferred from their identity. Here, we assemble an extensive dataset of variation in wood density across the most forested and tree-diverse continent, examine how it relates to spatial and environmental variables, and use these relationships to predict spatial variation in wood density over tropical and sub-tropical South America. Our analysis refines previously identified east-west Amazon gradients in wood density, improves them by revealing fine-scale variation, and extends predictions into Andean, dry, and Atlantic forests. The results halve biomass prediction errors compared to a naïve scenario with no knowledge of spatial variation in wood density. Our findings will help improve remote sensing-based estimates of aboveground biomass carbon stocks across tropical South America.
Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Archivio Istituziona... arrow_drop_down Oxford University Research ArchiveArticle . 2025License: CC BYData sources: Oxford University Research ArchiveWageningen Staff PublicationsArticle . 2025License: CC BYData sources: Wageningen Staff PublicationsSt Andrews Research RepositoryArticle . 2025 . Peer-reviewedData sources: St Andrews Research Repositoryadd 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=10.1038/s41467-025-56175-4&type=result"></script>'); --> </script>
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