AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (30.4 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research | Open Access

Tree growth is more limited by drought in rear-edge forests most of the times

J. Julio Camarero1 ( ), Antonio Gazol1, Gabriel Sangüesa-Barreda2, Marta Vergarechea3, Raquel Alfaro-Sánchez4, Nicolás Cattaneo3, Sergio M. Vicente-Serrano1
Instituto Pirenaico de Ecología (IPE-CSIC), Avda. Montañana 1005, E-50192, Zaragoza, Spain
EiFAB- iuFOR, University of Valladolid, Campus Duques de Soria, E-42004, Soria, Spain
NIBIO, Norwegian Institute of Bioeconomy Research, Postboks 155, NO-1431, Ås, Norway
Department of Biology, Wilfrid Laurier University, N2L 3C5, 75 Univ. Avenue W, Waterloo, Ontario, Canada
Show Author Information

Abstract

Background

Equatorward, rear-edge tree populations are natural monitors to estimate species vulnerability to climate change. According to biogeographical theory, exposition to drought events increases with increasing aridity towards the equator and the growth of southern tree populations will be more vulnerable to drought than in central populations. However, the ecological and biogeographical margins can mismatch due to the impact of ecological factors (topography, soils) or tree-species acclimation that can blur large-scale geographical imprints in trees responses to drought making northern populations more drought limited.

Methods

We tested these ideas in six tree species, three angiosperms (Fagus sylvatica, Quercus robur, Quercus petraea) and three gymnosperms (Abies alba, Pinus sylvestris and Pinus uncinata) by comparing rear-edge tree populations subjected to different degrees of aridity. We used dendrochronology to compare the radial-growth patterns of these species in northern, intermediate, and southern tree populations at the continental rear edge.

Results and conclusions

We found marked variations in growth variability between species with coherent patterns of stronger drought signals in the tree-ring series of the southern populations of F. sylvatica, P. sylvestris, and A. alba. This was also observed in species from cool-wet sites (P. uncinata and Q. robur), despite their limited responsiveness to drought. However, in the case of Q. petraea the intermediate population showed the strongest relationship to drought. For drought-sensitive species as F. sylvatica and P. sylvestris, southern populations presented more variable growth which was enhanced by cool-wet conditions from late spring to summer. We found a trend of enhanced vulnerability to drought in these two species. The response of tree growth to drought has a marked biogeographical component characterized by increased drought sensitivity in southern populations even within the species distribution rear edge. Nevertheless, the relationship between tree growth and drought varied between species suggesting that biogeographical and ecological limits do not always overlap as in the case of Q. petraea. In widespread species showing enhanced vulnerability to drought, as F. sylvatica and P. sylvestris, increased vulnerability to climate warming in their rear edges is forecasted. Therefore, we encourage the monitoring and conservation of such marginal tree populations.

References

【1】
【1】
 
 
Forest Ecosystems
Article number: 25

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Camarero JJ, Gazol A, Sangüesa-Barreda G, et al. Tree growth is more limited by drought in rear-edge forests most of the times. Forest Ecosystems, 2021, 8(2): 25. https://doi.org/10.1186/s40663-021-00303-1

1470

Views

57

Downloads

84

Crossref

71

Web of Science

72

Scopus

4

CSCD

Received: 03 December 2020
Accepted: 26 March 2021
Published: 08 April 2021
© The Author(s) 2021.

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/.