Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches
Foliar traits such as specific leaf area (SLA), leaf nitrogen (N), and phosphorus (P) concentrations play important roles in plant economic strategies and ecosystem functioning. Various global maps of these foliar traits have been generated using statistical upscaling approaches based on in-situ tra...
| Autores: | , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Tipo de documento: | artigo |
| Data de publicação: | 2024 |
| País: | España |
| Recursos: | Universitat Autònoma de Barcelona |
| Repositório: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglês |
| OAI Identifier: | oai:ddd.uab.cat:294941 |
| Acesso em linha: | https://ddd.uab.cat/record/294941 https://dx.doi.org/urn:doi:10.1016/j.rse.2024.114276 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Foliar trait Specific leaf area Leaf nitrogen Leaf phosphorus Global mapUpscaling |
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oai:ddd.uab.cat:294941 |
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España |
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| dc.title.none.fl_str_mv |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| title |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| spellingShingle |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches Dechant, Benjamin|||0000-0001-5171-2364 Foliar trait Specific leaf area Leaf nitrogen Leaf phosphorus Global mapUpscaling |
| title_short |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| title_full |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| title_fullStr |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| title_full_unstemmed |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| title_sort |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches |
| dc.creator.none.fl_str_mv |
Dechant, Benjamin|||0000-0001-5171-2364 Kattge, Jens|||0000-0002-1022-8469 Pavlick, Ryan Schneider, Fabian D.|||0000-0003-1791-2041 Sabatini, Francesco M. Álvaro Moreno-Martínez, Álvaro Butler, Ethan E.|||0000-0003-3482-1950 van Bodegom, Peter|||0000-0003-0771-4500 Vallicrosa Pou, Helena|||0000-0002-5860-3096 Kattenborn, Teja|||0000-0001-7381-3828 Boonman, Coline C. F.|||0000-0003-2417-1579 Madani, Nima Wright, Ian J.|||0000-0001-8338-9143 Dong, Ning|||0000-0003-0793-8854 Feilhauer, Hannes Peñuelas, Josep|||0000-0002-7215-0150 Sardans i Galobart, Jordi|||0000-0003-2478-0219 Aguirre-Gutiérrez, Jesús|||0000-0001-9190-3229 Reich, Peter|||0000-0003-4424-662X J. Leitão, Pedro J. Townsend, Philip A. |
| author |
Dechant, Benjamin|||0000-0001-5171-2364 |
| author_facet |
Dechant, Benjamin|||0000-0001-5171-2364 Kattge, Jens|||0000-0002-1022-8469 Pavlick, Ryan Schneider, Fabian D.|||0000-0003-1791-2041 Sabatini, Francesco M. Álvaro Moreno-Martínez, Álvaro Butler, Ethan E.|||0000-0003-3482-1950 van Bodegom, Peter|||0000-0003-0771-4500 Vallicrosa Pou, Helena|||0000-0002-5860-3096 Kattenborn, Teja|||0000-0001-7381-3828 Boonman, Coline C. F.|||0000-0003-2417-1579 Madani, Nima Wright, Ian J.|||0000-0001-8338-9143 Dong, Ning|||0000-0003-0793-8854 Feilhauer, Hannes Peñuelas, Josep|||0000-0002-7215-0150 Sardans i Galobart, Jordi|||0000-0003-2478-0219 Aguirre-Gutiérrez, Jesús|||0000-0001-9190-3229 Reich, Peter|||0000-0003-4424-662X J. Leitão, Pedro J. Townsend, Philip A. |
| author_role |
author |
| author2 |
Kattge, Jens|||0000-0002-1022-8469 Pavlick, Ryan Schneider, Fabian D.|||0000-0003-1791-2041 Sabatini, Francesco M. Álvaro Moreno-Martínez, Álvaro Butler, Ethan E.|||0000-0003-3482-1950 van Bodegom, Peter|||0000-0003-0771-4500 Vallicrosa Pou, Helena|||0000-0002-5860-3096 Kattenborn, Teja|||0000-0001-7381-3828 Boonman, Coline C. F.|||0000-0003-2417-1579 Madani, Nima Wright, Ian J.|||0000-0001-8338-9143 Dong, Ning|||0000-0003-0793-8854 Feilhauer, Hannes Peñuelas, Josep|||0000-0002-7215-0150 Sardans i Galobart, Jordi|||0000-0003-2478-0219 Aguirre-Gutiérrez, Jesús|||0000-0001-9190-3229 Reich, Peter|||0000-0003-4424-662X J. Leitão, Pedro J. Townsend, Philip A. |
| author2_role |
author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Foliar trait Specific leaf area Leaf nitrogen Leaf phosphorus Global mapUpscaling |
| topic |
Foliar trait Specific leaf area Leaf nitrogen Leaf phosphorus Global mapUpscaling |
| description |
Foliar traits such as specific leaf area (SLA), leaf nitrogen (N), and phosphorus (P) concentrations play important roles in plant economic strategies and ecosystem functioning. Various global maps of these foliar traits have been generated using statistical upscaling approaches based on in-situ trait observations. Here, we intercompare such global upscaled foliar trait maps at 0.5° spatial resolution (six maps for SLA, five for N, three for P), categorize the upscaling approaches used to generate them, and evaluate the maps with trait estimates from a global database of vegetation plots (sPlotOpen). We disentangled the contributions from different plant functional types (PFTs) to the upscaled maps and quantified the impacts of using different plot-level trait metrics on the evaluation with sPlotOpen: community weighted mean (CWM) and top-of-canopy weighted mean (TWM). We found that the global foliar trait maps of SLA and N differ drastically and fall into two groups that are almost uncorrelated (for P only maps from one group were available). The primary factor explaining the differences between these groups is the use of PFT information combined with remote sensing-derived land cover products in one group while the other group mostly relied on environmental predictors alone. The maps that used PFT and corresponding land cover information exhibit considerable similarities in spatial patterns that are strongly driven by land cover. The maps not using PFTs show a lower level of similarity and tend to be strongly driven by individual environmental variables. Upscaled maps of both groups were moderately correlated to sPlotOpen data aggregated to the grid-cell level (R = 0.2-0.6) when processing sPlotOpen in a way that is consistent with the respective trait upscaling approaches, including the plot-level trait metric (CWM or TWM) and the scaling to the grid cells with or without accounting for fractional land cover. The impact of using TWM or CWM was relevant, but considerably smaller than that of the PFT and land cover information. The maps using PFT and land cover information better reproduce the between-PFT trait differences of sPlotOpen data, while the two groups performed similarly in capturing within-PFT trait variation. Our findings highlight the importance of explicitly accounting for within-grid-cell trait variation, which has important implications for applications using existing maps and future upscaling efforts. Remote sensing information has great potential to reduce uncertainties related to scaling from in-situ observations to grid cells and the regression-based mapping steps involved in the upscaling. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2 2024-01-01 2024 2024-01-01 |
| dc.type.none.fl_str_mv |
Article http://purl.org/coar/resource_type/c_6501 VoR http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://ddd.uab.cat/record/294941 https://dx.doi.org/urn:doi:10.1016/j.rse.2024.114276 |
| url |
https://ddd.uab.cat/record/294941 https://dx.doi.org/urn:doi:10.1016/j.rse.2024.114276 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.relation.none.fl_str_mv |
European Commission https://doi.org/10.13039/501100000780 855187 |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
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reponame:Dipòsit Digital de Documents de la UAB instname:Universitat Autònoma de Barcelona |
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Universitat Autònoma de Barcelona |
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Dipòsit Digital de Documents de la UAB |
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Dipòsit Digital de Documents de la UAB |
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1869410843874033664 |
| spelling |
Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approachesDechant, Benjamin|||0000-0001-5171-2364Kattge, Jens|||0000-0002-1022-8469Pavlick, RyanSchneider, Fabian D.|||0000-0003-1791-2041Sabatini, Francesco M.Álvaro Moreno-Martínez, ÁlvaroButler, Ethan E.|||0000-0003-3482-1950van Bodegom, Peter|||0000-0003-0771-4500Vallicrosa Pou, Helena|||0000-0002-5860-3096Kattenborn, Teja|||0000-0001-7381-3828Boonman, Coline C. F.|||0000-0003-2417-1579Madani, NimaWright, Ian J.|||0000-0001-8338-9143Dong, Ning|||0000-0003-0793-8854Feilhauer, HannesPeñuelas, Josep|||0000-0002-7215-0150Sardans i Galobart, Jordi|||0000-0003-2478-0219Aguirre-Gutiérrez, Jesús|||0000-0001-9190-3229Reich, Peter|||0000-0003-4424-662XJ. Leitão, Pedro J.Townsend, Philip A.Foliar traitSpecific leaf areaLeaf nitrogenLeaf phosphorusGlobal mapUpscalingFoliar traits such as specific leaf area (SLA), leaf nitrogen (N), and phosphorus (P) concentrations play important roles in plant economic strategies and ecosystem functioning. Various global maps of these foliar traits have been generated using statistical upscaling approaches based on in-situ trait observations. Here, we intercompare such global upscaled foliar trait maps at 0.5° spatial resolution (six maps for SLA, five for N, three for P), categorize the upscaling approaches used to generate them, and evaluate the maps with trait estimates from a global database of vegetation plots (sPlotOpen). We disentangled the contributions from different plant functional types (PFTs) to the upscaled maps and quantified the impacts of using different plot-level trait metrics on the evaluation with sPlotOpen: community weighted mean (CWM) and top-of-canopy weighted mean (TWM). We found that the global foliar trait maps of SLA and N differ drastically and fall into two groups that are almost uncorrelated (for P only maps from one group were available). The primary factor explaining the differences between these groups is the use of PFT information combined with remote sensing-derived land cover products in one group while the other group mostly relied on environmental predictors alone. The maps that used PFT and corresponding land cover information exhibit considerable similarities in spatial patterns that are strongly driven by land cover. The maps not using PFTs show a lower level of similarity and tend to be strongly driven by individual environmental variables. Upscaled maps of both groups were moderately correlated to sPlotOpen data aggregated to the grid-cell level (R = 0.2-0.6) when processing sPlotOpen in a way that is consistent with the respective trait upscaling approaches, including the plot-level trait metric (CWM or TWM) and the scaling to the grid cells with or without accounting for fractional land cover. The impact of using TWM or CWM was relevant, but considerably smaller than that of the PFT and land cover information. The maps using PFT and land cover information better reproduce the between-PFT trait differences of sPlotOpen data, while the two groups performed similarly in capturing within-PFT trait variation. Our findings highlight the importance of explicitly accounting for within-grid-cell trait variation, which has important implications for applications using existing maps and future upscaling efforts. Remote sensing information has great potential to reduce uncertainties related to scaling from in-situ observations to grid cells and the regression-based mapping steps involved in the upscaling. 22024-01-0120242024-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/294941https://dx.doi.org/urn:doi:10.1016/j.rse.2024.114276reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengEuropean Commission https://doi.org/10.13039/501100000780 855187open accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2949412026-06-06T12:50:31Z |
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15,812429 |