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Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index
Loozen, Yasmina (Utrecht University. Copernicus Institute of sustainable development)
Rebel, Karin T. (Utrecht University. Copernicus Institute of sustainable development)
Karssenberg, Derek (Utrecht University. Physiscal geography)
Martin J. Wassen (Utrecht University. Copernicus Institute of sustainable development)
Sardans i Galobart, Jordi (Centre de Recerca Ecològica i Aplicacions Forestals)
Peñuelas, Josep (Centre de Recerca Ecològica i d'Aplicacions Forestals)
De Jong, Steven M. (Utrecht University. Physiscal geography)

Data: 2018
Resum: Canopy nitrogen (N) concentration and content are linked to several vegetation processes. Therefore, canopy N concentration is a state variable in global vegetation models with coupled carbon (C) and N cycles. While there are ample C data available to constrain the models, widespread N data are lacking. Remotely sensed vegetation indices have been used to detect canopy N concentration and canopy N content at the local scale in grasslands and forests. Vegetation indices could be a valuable tool to detect canopy N concentration and canopy N content at larger scale. In this paper, we conducted a regional case-study analysis to investigate the relationship between the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) time series from European Space Agency (ESA) Envisat satellite at 1 km spatial resolution and both canopy N concentration (%N) and canopy N content (N g m−2 , of ground area) from a Mediterranean forest inventory in the region of Catalonia, in the northeast of Spain. The relationships between the datasets were studied after resampling both datasets to lower spatial resolutions (20, 15, 10 and 5 km) and at the original spatial resolution of 1 km. The results at higher spatial resolution(1 km) yielded significant log–linear relationships between MTCI and both canopy N concentration and content: r2 = 0. 32 and r2 = 0. 17, respectively. We also investigated these relationships per plant functional type. While the relationship between MTCI and canopy N concentration was strongest for deciduous broadleaf and mixed plots (r2 = 0. 24 and r2 = 0. 44, respectively), the relationship between MTCI and canopy N content was strongest for evergreen needleleaf trees (r2 = 0. 19). At the species level, canopy N concentration was strongly related to MTCI for European beech plots (r2 = 0. 69). These results present a new perspective on the application of MTCI time series for canopy N detection.
Nota: Número d'acord de subvenció MINECO/CGL2013-48074-P
Nota: Número d'acord de subvenció SGR/2014-274
Nota: Número d'acord de subvenció EC/FP7/610028
Drets: 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, fins i tot amb finalitats comercials, sempre i quan es reconegui l’autoria de l’obra original. Creative Commons
Drets: Tots els drets reservats
Llengua: Anglès.
Document: article ; recerca ; publishedVersion
Publicat a: Biogeosciences, Vol. 15, Núm. 9 (May 2018) , p. 2723-2742, ISSN 1726-4170

DOI: 10.5194/bg-15-2723-2018


20 p, 3.6 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > CREAF (Centre de Recerca Ecològica i d'Aplicacions Forestals) > Imbalance-P
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2018-09-24, darrera modificació el 2018-10-20



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