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Title:Climate–growth relationships in Laurus azorica - a dominant tree in the Azorean Laurel forest
Authors:ID Pavão, Diogo C. (Author)
ID Jevšenak, Jernej (Author)
ID Borges Silva, Lurdes (Author)
ID Elias, Rui Bento (Author)
ID Silva, Luis (Author)
Files:URL URL - Source URL, visit https://www.mdpi.com/1999-4907/14/2/166
 
.pdf PDF - Presentation file, download (11,11 MB)
MD5: 873BB0B57117E6A1FB14D88FBF836EE2
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo SciVie - Slovenian Forestry Institute
Abstract:Forests on oceanic islands, such as the Azores archipelago, enable interesting dendroclimatic research, given their pronounced climatic gradients over short geographical distances, despite the less pronounced seasonality. The Lauraceae play an essential ecological role in Macaronesian natural forests. An example is Laurus azorica (Seub.) Franco, a relevant species given its high frequency and physiognomic dominance in Azorean laurel forests. This study aims to quantify climate–growth relationships in L. azorica using a dendroecological approach. We sampled four stands at São Miguel and two stands at Terceira islands, for a total of 206 trees. Following standard dendrochronological methods and rigorous sample selection procedures, we obtained relatively low rbar values and high temporal autocorrelation. Using a stepwise Random Forest analysis followed by Generalized Linear Models calculation, we found prominent effects of present and previous year temperature, but a low precipitation signal on growth rings, with some model variation between stands. Our results agreed with previous observations for broad-leaved species with diffuse porous wood, contributing to increase the baseline dendroecological knowledge about Azorean forests. Due to the high levels of within- and between-stand variation, and to refine the climatic signal analysis, complementary approaches should be explored in the future.
Keywords:Azores, dendroclimatology, generalized linear models, laurel forest, Macaronesia, random forest
Publication status:Published
Publication version:Version of Record
Year of publishing:2023
Number of pages:22 str.
Numbering:Vol. 14, iss. 2, [article no.] 166
PID:20.500.12556/DiRROS-16084-a98ef840-7883-3287-cc99-995f40816dbf New window
UDC:630*
ISSN on article:1999-4907
DOI:10.3390/f14020166 New window
COBISS.SI-ID:138284803 New window
Note:Nasl. z nasl. zaslona; Opis vira z dne 18. 1. 2023;
Publication date in DiRROS:18.01.2023
Views:327
Downloads:243
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Record is a part of a journal

Title:Forests
Shortened title:Forests
Publisher:MDPI
ISSN:1999-4907
COBISS.SI-ID:3872166 New window

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:P4-0107-2020
Name:Gozdna biologija, ekologija in tehnologija

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:Azori, dendroklimatologija, posplošeni linearni modeli, gozdovi lovorovk, Makaronezija, naključni gozdovi


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