A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences

The concept of spatial synchrony in ecology refers to the presence of coordinated time fluctuations in certain characteristics that can be observed in plant and animal communities inhabiting an area. It is a well-known phenomenon common to virtually every taxon, but comparatively little attention ha...

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Authors: Shestakova, Tatiana A., Gutiérrez, Emilia, Voltas Velasco, Jordi
Format: article
Status:Versión aceptada para publicación
Publication Date:2017
Country:España
Institution:Universitat de Lleida (UdL)
Repository:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/64686
Online Access:https://doi.org/10.1007/s00468-017-1653-0
http://hdl.handle.net/10459.1/64686
Access Level:Open access
Keyword:Biogeography
Moran effect
Spatiotemporal variability
Teleconnection
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spelling A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences Shestakova, Tatiana A. Gutiérrez, Emilia Voltas Velasco, Jordi Biogeography Moran effect Spatiotemporal variability Teleconnection The concept of spatial synchrony in ecology refers to the presence of coordinated time fluctuations in certain characteristics that can be observed in plant and animal communities inhabiting an area. It is a well-known phenomenon common to virtually every taxon, but comparatively little attention has been given to the study of the temporal coherence of forest tree performance across biogeographical gradients. In forest ecosystems, tree growth dynamics is primarily driven by climatic variability (i.e., the Moran effect). Due to rapid climate change, trees are increasingly pushed to their physiological limits up to the level that many populations are facing immediate risk of extinction. The characterization of synchrony patterns in tree growth can provide clues on the relevance of emerging climatic threats on forests, as new combinations of precipitation and temperature are entraining tree performance worldwide. In this regard, comprehensive and systematic approaches to analyse spatiotemporal dynamics of tree growth are needed. Here, we present a methodology for disentangling and interpreting how the variability and common signal strength of tree growth (or other traits) are structured in tree-ring networks. It is grounded on mixed modelling principles and broadens well-known theoretical principles in dendrosciences. Based on this approach, we describe the essential properties of spatial synchrony in tree growth at multiple geographical scales. We also discuss the potential of this methodology to discern early warning signals of climate change impacts on forest ecosystems. T.A.S. acknowledges support of ERANET-Mundus (European Commission). This study was supported by the project 2014 SGR1141 (Catalan Government). Springer Verlag https://doi.org/10.1007/s00468-017-1653-0 http://hdl.handle.net/10459.1/64686
title A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
spellingShingle A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
Shestakova, Tatiana A.
Biogeography
Moran effect
Spatiotemporal variability
Teleconnection
title_short A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
title_full A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
title_fullStr A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
title_full_unstemmed A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
title_sort A roadmap to disentangling ecogeographical patterns of spatial synchrony in dendrosciences
author Shestakova, Tatiana A.
author_facet Shestakova, Tatiana A.
Gutiérrez, Emilia
Voltas Velasco, Jordi
author_role author
author2 Gutiérrez, Emilia
Voltas Velasco, Jordi
author2_role author
author
topic Biogeography
Moran effect
Spatiotemporal variability
Teleconnection
topic_facet Biogeography
Moran effect
Spatiotemporal variability
Teleconnection
description The concept of spatial synchrony in ecology refers to the presence of coordinated time fluctuations in certain characteristics that can be observed in plant and animal communities inhabiting an area. It is a well-known phenomenon common to virtually every taxon, but comparatively little attention has been given to the study of the temporal coherence of forest tree performance across biogeographical gradients. In forest ecosystems, tree growth dynamics is primarily driven by climatic variability (i.e., the Moran effect). Due to rapid climate change, trees are increasingly pushed to their physiological limits up to the level that many populations are facing immediate risk of extinction. The characterization of synchrony patterns in tree growth can provide clues on the relevance of emerging climatic threats on forests, as new combinations of precipitation and temperature are entraining tree performance worldwide. In this regard, comprehensive and systematic approaches to analyse spatiotemporal dynamics of tree growth are needed. Here, we present a methodology for disentangling and interpreting how the variability and common signal strength of tree growth (or other traits) are structured in tree-ring networks. It is grounded on mixed modelling principles and broadens well-known theoretical principles in dendrosciences. Based on this approach, we describe the essential properties of spatial synchrony in tree growth at multiple geographical scales. We also discuss the potential of this methodology to discern early warning signals of climate change impacts on forest ecosystems.
publishDate 2017
format article
status_str acceptedVersion
url https://doi.org/10.1007/s00468-017-1653-0
http://hdl.handle.net/10459.1/64686
eu_rights_str_mv openAccess
publisher Springer Verlag
institution Universitat de Lleida (UdL)
collection Repositori Obert UdL
reponame_str Repositori Obert UdL
instname_str Universitat de Lleida (UdL)
_version_ 1878441072939499520
publishDateSort 2017
author_browse Gutiérrez, Emilia
Shestakova, Tatiana A.
Voltas Velasco, Jordi
publisherStr Springer Verlag
score 6,9303427

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