Modelling aboveground biomass and productivity and the impact of climate change in Mediterranean forests of South Spain
Authors
Herráiz, Aurelio D.; Salazar Zarzosa, Pablo; Mesas, Francisco Javier; Arenas Castro, Salvador; Ruiz Benito, PalomaIdentifiers
Permanent link (URI): http://hdl.handle.net/10017/64717DOI: 10.1016/j.agrformet.2023.109498
ISSN: 0168-1923
Publisher
Elsevier
Date
2023-06-15Embargo end date
2025-06-15Academic Departments
Universidad de Alcalá. Departamento de Ciencias de la Vida
Funders
Agencia Estatal de Investigación
Universidad de Alcalá
Bibliographic citation
Herraiz, A.D., Salazar Zarzosa, P.C., Mesas, F.J., Arenas Castro, S., Ruiz Benito, P. & Villar, R. 2023, “Modelling aboveground biomass and productivity and the impact of climate change in Mediterranean forests of South Spain”, Agricultural and Forest Meteorology, vol. 337, art. no. 109498, pp. 1-16.
Keywords
Aridity
Forest structure
National forest inventory
NDVI
Satellite-remote variables
Project
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/TED2021-131722B-I00
info:eu-repo/grantAgreement/UAH//EPU-INV%2F2020%2F010
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123675OB-C41/ES/COMBINANDO INVENTARIOS Y TRABAJO DE CAMPO PARA IDENTIFICAR LAS CAUSAS Y CONSECUENCIAS DE LOS PUNTOS CALIENTES DE CAMBIO CLIMATICO/
Document type
info:eu-repo/semantics/article
Version
info:eu-repo/semantics/acceptedVersion
Publisher's version
https://doi.org/10.1016/j.agrformet.2023.109498Rights
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
© 2023 Elsevier B.V.
Access rights
info:eu-repo/semantics/openAccess
Abstract
One of the main challenges under global warming is understanding and predicting the effects of increased aridity on the carbon sink role of forests, particularly in Mediterranean regions. Forest inventories monitor the real state of the forest at a high temporal and financial cost. Cloud computing tools and high spatio-temporal resolution datasets generate fast and low-cost remote sensing data. Our objective is to understand the underlying variables explaining carbon storage (aboveground biomass) and forest productivity of Mediterranean forests using remote and in field-based variables and predict expected future trends. Then, we quantify the potential effects of a hypothetical increase in aridity under climate change on aboveground biomass and forest productivity. We included remote sensing indices (NDVI), abiotic factors (climate, soil and topography) and biotic factors (forest structure) as key variables of forest biomass and productivity in a large and heterogeneous Mediterranean region (Andalusia, southern Spain). We used around 7000 forest plots from the second and the third Spanish National Forest Inventory (1995 and 2006) considering the eight most abundant species (Olea europaea, Pinus pinea, P. pinaster, P. halepensis, P. nigra, P. sylvestris, Quercus ilex subsp ballota, and Q. suber). The variance explained by the models ranged from 25% in Q. ilex forests to 65% in P. sylvestris forests. Aridity affected all-species and Quercus biomass and most productivity models. NDVI and tree density had a strong positive effect on forest biomass and productivity with a significant interaction effect in all-species models, whereas aridity had a negative effect on both. The predicted increase in aridity under future climate change scenarios could seriously reduce forest biomass by 18% and productivity by 16%. Our study suggests that aridity is a key factor determining forest biomass and productivity in Mediterranean forests, that could potentially lead to reductions of their carbon sink role.
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