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Artículo científico (article).
The Interplay of the Tree and Stand-Level Processes Mediate Drought-Induced Forest Dieback: Evidence from Complementary Remote Sensing and Tree-Ring Approaches
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359829
Digital.CSIC. Repositorio Institucional del CSIC
- Moreno-Fernández, Daniel
- Camarero, Jesús Julio
- García, Mariano
- Lines, Emily R.
- Sánchez-Dávila, Jesús
- Tijerín, Julián
- Valeriano, Cristina
- Viana-Soto, Alba
- Zavala, Miguel A.
- Ruiz-Benito, Paloma
© 2022 The Author(s). Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/., Drought-induced forest dieback can lead to a tipping point in community dominance, but the coupled response at the tree and stand-level response has not been properly addressed. New spatially and temporally integrated monitoring approaches that target different biological organization levels are needed. Here, we compared the temporal responses of dendrochronological and spectral indices from 1984 to 2020 at both tree and stand levels, respectively, of a drought-prone Mediterranean Pinus pinea forest currently suffering strong dieback. We test the influence of climate on temporal patterns of tree radial growth, greenness and wetness spectral indices; and we address the influence of major drought episodes on resilience metrics. Tree-ring data and spectral indices followed different spatio-temporal patterns over the study period (1984–2020). Combined information from tree growth and spectral trajectories suggests that a reduction in tree density during the mid-1990s could have promoted tree growth and reduced dieback risk. Additionally, over the last decade, extreme and recurrent droughts have resulted in crown defoliation greater than 40% in most plots since 2019. We found that tree growth and the greenness spectral index were positively related to annual precipitation, while the wetness index was positively related to mean annual temperature. The response to drought, however, was stronger for tree growth than for spectral indices. Our study demonstrates the value of long-term retrospective multiscale analyses including tree and stand-level scales to disentangle mechanisms triggering and driving forest dieback., D M-F is supported by a “Juan de la Cierva Formación” post-doctoral fellow (FJC2018-037870-I) from the Spanish Ministry of Science and Innovation and AV-S by the Ministry of Universities through a FPU doctoral fellowship (FPU17/03260). We acknowledge support from grants "Data Driven Models of Forest Drought Vulnerability and Resilience across spatial and temporal Scales: Application to the Spanish Climate Change Adaptation Strategy" (DARE: RTI2018-096884-B-C32) and FORMAL (RTI2018-096884-B-C31) from the Spanish Ministry of Science, Innovation and Universities, Spain. We also thank the support of the Community of Madrid Region under the framework of the multi-year Agreement with the University of Alcalá (Stimulus to Excellence for Permanent University Professors, EPU-INV/2020/010) and the University of Alcalá “Ayudas para la realización de Proyectos para potenciar la Creación y Consolidación de Grupos de Investigación.” E.R.L. was funded by a UKRI Future Leaders Fellowship (MR/T019832/1)., Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature., Peer reviewed
DOI: http://hdl.handle.net/10261/359829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359829
HANDLE: http://hdl.handle.net/10261/359829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359829
Ver en: http://hdl.handle.net/10261/359829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/359829
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