Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches
Dechant, Benjamin (German Centre for Integrative Biodiversity Research (Halle-Jena-Leipzig, Alemanya))
Kattge, Jens (Max Planck Institute for Biogeochemistry)
Pavlick, Ryan (California Institute of Technology. Jet Propulsion Laboratory)
Schneider, Fabian D. (California Institute of Technology. Jet Propulsion Laboratory)
Sabatini, Francesco Maria (Alma Mater Studiorum Università di Bologna. Dipartimento di Scienze biologiche, geologiche e ambientali)
Moreno-Martinez, Alvaro (Universitat de València. Laboratori de Processament d'Imatges)
Butler, Ethan E. (University of Minnesota. Department of Forest Resources)
van Bodegom, Peter M. (Leiden University. Institute of Environmental Sciences)
Vallicrosa Pou, Helena (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Kattenborn, Teja (University of Freiburg. Department for Sensor-based Geoinformatics)
Boonman, Coline C.F. (Aarhus University. Department of Biology)
Madani, Nima (University of California. Joint Institute for Regional Earth System Science and Engineering)
Wright, Ian J. (Western Sydney University. Hawkesbury Institute for the Environment)
Dong, Ning (Macquarie University. Department of Biological Sciences)
Feilhauer, Hannes (Helmholtz Centre for Environmental Research)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Sardans i Galobart, Jordi (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Aguirre-Gutierrez, Jesus (University of Oxford. Environmental Change Institute)
Reich, Peter B. (University of Michigan. Institute for Global Change Biology)
Leitão, Pedro J. (Helmholtz Centre for Environmental Research)
Cavender-Bares, Jeannine (University of Minnesota. Department of Ecology, Evolution and Behavior)
Myers-Smith, Isla H. (University of Edinburgh. School of GeoSciences)
Duran, Sandra M. (Colorado State University. Department of Forest and Rangeland Stewardship)
Croft, Holly (University of Sheffield. School of Biosciences)
Prentice, I. Colin (Imperial College London. Georgina Mace Centre for the Living Planet)
Huth, Andreas (Helmholtz Centre for Environmental Research)
Rebe, Karin (Utrecht University. Copernicus Institute of Sustainable Development)
Zaehle, Sönke (Max Planck Institute for Biogeochemistry)
Simova, Irena (Charles University. Center for Theoretical Study)
Diaz, Sandra (Universidad Nacional de Córdoba (Argentina). Facultad de Ciencias Exactas, Físicas y Naturales)
Reichstein, Markus (Max Planck Institute for Biogeochemistry)
Schiller, Christopher (Free University Berlin. Institute of Geographical Sciences)
Bruelheide, Helge (Martin Luther University Halle-Wittenberg. Institute of Biology, Geobotany and Botanical Garden)
Mahecha, Miguel (Helmholtz Centre for Environmental Research)
Wirth, Christian (Leipzig University. Institute of Systematic Botany and Functional Biodiversity)
Malhi, Yadvinder (University of Oxford. Environmental Change Institute)
Townsend, Philip A. (University of Wisconsin)

Fecha:	2023
Resumen:	Foliar traits such as specific leaf area (SLA), leaf nitrogen (N) and phosphorus (P) concentrations play an important role 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 characterized the differences between two trait metrics: 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 exclusive use of PFT information combined with remote sensing-derived land cover products in one group while the other group mostly relied on environmental predictors. The impact of using TWM or CWM on spatial patterns was considerably smaller than that of including PFT and land cover information. The maps that used PFT and 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. Overall, the maps using PFT and land cover information better reproduce the between-PFT trait differences and trait distributions of the plot-level sPlotOpen data, while the two groups performed similarly in capturing within-PFT trait variation. Upscaled maps of both groups were moderately correlated to grid-cell-level sPlotOpen data (R = 0. 2-0. 6), with considerable differences between upscaling approaches and overall higher correlations for SLA and N. 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.
Ayudas:	European Commission 855187
Derechos:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Lengua:	Anglès
Documento:	Prepublicació ; recerca ; Versió de l'autor
Materia:	Foliar trait ; Specific leaf area ; Leaf nitrogen ; Leaf phosphorus ; Global map ; Upscaling

DOI: 10.31223/X58S97

58 p, 4.1 MB

El registro aparece en las colecciones:
Documentos de investigación > Documentos de los grupos de investigación de la UAB > Centros y grupos de investigación (producción científica) > Ciencias > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals)
Documentos de investigación > Prepublicacions