Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/127928
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Modelling above-ground carbon dynamics using multi-temporal airborne lidar: insights from a Mediterranean woodland |
Autor: | Simonson, W.; Ruiz-Benito, Paloma; Valladares Ros, Fernando CSIC ORCID ; Coomes, D. | Fecha de publicación: | 7-sep-2015 | Editor: | European Geosciences Union Copernicus Publications |
Citación: | Biogeosciences Discussions 12: 14739-14772 (2015) | Resumen: | Woodlands represent highly significant carbon sinks globally, though could lose this function under future climatic change. Effective large-scale monitoring of these woodlands has a critical role to play in mitigating for, and adapting to, climate change. Mediterranean woodlands have low carbon densities, but represent important global carbon stocks due to their extensiveness and are particularly vulnerable because the region is predicted to become much hotter and drier over the coming century. Airborne lidar is already recognized as an excellent approach for high-fidelity carbon mapping, but few studies have used multi-temporal lidar surveys to measure carbon fluxes in forests and none have worked with Mediterranean woodlands. We use a multi-temporal (five year interval) airborne lidar dataset for a region of central Spain to estimate above-ground biomass (AGB) and carbon dynamics in typical mixed broadleaved/coniferous Mediterranean woodlands. Field calibration of the lidar data enabled the generation of grid-based maps of AGB for 2006 and 2011, and the resulting AGB change were estimated. There was a close agreement between the lidar-based AGB growth estimate (1.22 Mg ha−1 year−1) and those derived from two independent sources: the Spanish National Forest Inventory, and a~tree-ring based analysis (1.19 and 1.13 Mg ha−1 year−1, respectively). We parameterised a simple simulator of forest dynamics using the lidar carbon flux measurements, and used it to explore four scenarios of fire occurrence. Under undisturbed conditions (no fire occurrence) an accelerating accumulation of biomass and carbon is evident over the next 100 years with an average carbon sequestration rate of 1.95 Mg C ha−1 year−1. This rate reduces by almost a third when fire probability is increased to 0.01, as has been predicted under climate change. Our work shows the power of multi-temporal lidar surveying to map woodland carbon fluxes and provide parameters for carbon dynamics models. Space deployment of lidar instruments in the near future could open the way for rolling out wide-scale forest carbon stock monitoring to inform management and governance responses to future environmental change. | Descripción: | Received: 21 Jul 2015 – Accepted: 01 Aug 2015 – Published: 07 Sep 2015 | Versión del editor: | http://dx.doi.org/10.5194/bgd-12-14739-2015 | URI: | http://hdl.handle.net/10261/127928 | DOI: | 10.5194/bgd-12-14739-2015 | ISSN: | 1726-4170 | E-ISSN: | 1726-4189 |
Aparece en las colecciones: | (MNCN) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
BiogeoscDis 12 14739-14772 (2015).pdf | 1,58 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
1
checked on 22-abr-2024
Page view(s)
255
checked on 05-may-2024
Download(s)
297
checked on 05-may-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons