Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring

A Tree-related Microhabitat (TreM) is a distinct, well-delineated morphological singularity occurring on living or standing dead trees, which constitutes a crucial substrate or life site for various species. TreMs are widely recognized as key features for biodiversity. Current TreM typology identifi...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Laurent Larrieu, Alain Cabanettes, Benoit Courbaud, Michel Goulard, Wilfried Heintz, Daniel Kozák, Daniel Kraus, Thibault Lachat, Sylvie Ladet, Jörg Müller, Yoan Paillet, Andreas Schuck, Jonas Stillhard, Miroslav Svoboda
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://doaj.org/article/94695642743e48d79fdb5ce11bd44af7
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:94695642743e48d79fdb5ce11bd44af7
record_format dspace
spelling oai:doaj.org-article:94695642743e48d79fdb5ce11bd44af72021-12-01T04:52:52ZCo-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring1470-160X10.1016/j.ecolind.2021.107757https://doaj.org/article/94695642743e48d79fdb5ce11bd44af72021-08-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21004222https://doaj.org/toc/1470-160XA Tree-related Microhabitat (TreM) is a distinct, well-delineated morphological singularity occurring on living or standing dead trees, which constitutes a crucial substrate or life site for various species. TreMs are widely recognized as key features for biodiversity. Current TreM typology identifies 47 TreM types according to their morphology and their associated taxa. In order to provide a range of resolutions and make the typology more user-friendly, these 47 TreM types have been pooled into 15 groups and seven forms. Depending on the accuracy required and the time available, a user can now choose to describe TreMs at resolution levels corresponding to type, group or form. Another way to more easily record TreMs during routine management work would be to use co-occurrence patterns to reduce the number of observed TreMs required. Based on a large international TreM database (2052 plots; 70,958 individual trees; 78 tree species), we evaluated both the significance and the magnitude of TreM co-occurrence on living trees for 11 TreM groups. We highlighted 33 significant co-occurrences for broadleaves and nine for conifers. Bark loss, rot hole, crack and polypore had the highest number of positive co-occurrences (N = 8) with other TreMs on broadleaves; bark loss (N = 4) had the highest number for conifers. We found mutually exclusive occurrences only for conifers: Exposed Heartwood excluded both dendrotelm and sap run. Among the four variables we tested for their positive contribution to significant co-occurrences, tree diameter at breast height was the most consistent. Based on our results and practical considerations, we selected three TreM groups for broadleaves, and nine for conifers, and formed useful short lists to reduce the number of TreM groups to assess during routine forest management work in the field. In addition, detecting potential similarities or associations between TreMs has potential theoretical value, e.g. it may help researchers identify common factors favouring TreM formation or help managers select trees with multiple TreMs as candidates for retention.Laurent LarrieuAlain CabanettesBenoit CourbaudMichel GoulardWilfried HeintzDaniel KozákDaniel KrausThibault LachatSylvie LadetJörg MüllerYoan PailletAndreas SchuckJonas StillhardMiroslav SvobodaElsevierarticleTreM monitoringBiodiversity-friendly forest managementEcologyQH540-549.5ENEcological Indicators, Vol 127, Iss , Pp 107757- (2021)
institution DOAJ
collection DOAJ
language EN
topic TreM monitoring
Biodiversity-friendly forest management
Ecology
QH540-549.5
spellingShingle TreM monitoring
Biodiversity-friendly forest management
Ecology
QH540-549.5
Laurent Larrieu
Alain Cabanettes
Benoit Courbaud
Michel Goulard
Wilfried Heintz
Daniel Kozák
Daniel Kraus
Thibault Lachat
Sylvie Ladet
Jörg Müller
Yoan Paillet
Andreas Schuck
Jonas Stillhard
Miroslav Svoboda
Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
description A Tree-related Microhabitat (TreM) is a distinct, well-delineated morphological singularity occurring on living or standing dead trees, which constitutes a crucial substrate or life site for various species. TreMs are widely recognized as key features for biodiversity. Current TreM typology identifies 47 TreM types according to their morphology and their associated taxa. In order to provide a range of resolutions and make the typology more user-friendly, these 47 TreM types have been pooled into 15 groups and seven forms. Depending on the accuracy required and the time available, a user can now choose to describe TreMs at resolution levels corresponding to type, group or form. Another way to more easily record TreMs during routine management work would be to use co-occurrence patterns to reduce the number of observed TreMs required. Based on a large international TreM database (2052 plots; 70,958 individual trees; 78 tree species), we evaluated both the significance and the magnitude of TreM co-occurrence on living trees for 11 TreM groups. We highlighted 33 significant co-occurrences for broadleaves and nine for conifers. Bark loss, rot hole, crack and polypore had the highest number of positive co-occurrences (N = 8) with other TreMs on broadleaves; bark loss (N = 4) had the highest number for conifers. We found mutually exclusive occurrences only for conifers: Exposed Heartwood excluded both dendrotelm and sap run. Among the four variables we tested for their positive contribution to significant co-occurrences, tree diameter at breast height was the most consistent. Based on our results and practical considerations, we selected three TreM groups for broadleaves, and nine for conifers, and formed useful short lists to reduce the number of TreM groups to assess during routine forest management work in the field. In addition, detecting potential similarities or associations between TreMs has potential theoretical value, e.g. it may help researchers identify common factors favouring TreM formation or help managers select trees with multiple TreMs as candidates for retention.
format article
author Laurent Larrieu
Alain Cabanettes
Benoit Courbaud
Michel Goulard
Wilfried Heintz
Daniel Kozák
Daniel Kraus
Thibault Lachat
Sylvie Ladet
Jörg Müller
Yoan Paillet
Andreas Schuck
Jonas Stillhard
Miroslav Svoboda
author_facet Laurent Larrieu
Alain Cabanettes
Benoit Courbaud
Michel Goulard
Wilfried Heintz
Daniel Kozák
Daniel Kraus
Thibault Lachat
Sylvie Ladet
Jörg Müller
Yoan Paillet
Andreas Schuck
Jonas Stillhard
Miroslav Svoboda
author_sort Laurent Larrieu
title Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
title_short Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
title_full Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
title_fullStr Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
title_full_unstemmed Co-occurrence patterns of tree-related microhabitats: A method to simplify routine monitoring
title_sort co-occurrence patterns of tree-related microhabitats: a method to simplify routine monitoring
publisher Elsevier
publishDate 2021
url https://doaj.org/article/94695642743e48d79fdb5ce11bd44af7
work_keys_str_mv AT laurentlarrieu cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT alaincabanettes cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT benoitcourbaud cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT michelgoulard cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT wilfriedheintz cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT danielkozak cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT danielkraus cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT thibaultlachat cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT sylvieladet cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT jorgmuller cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT yoanpaillet cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT andreasschuck cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT jonasstillhard cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
AT miroslavsvoboda cooccurrencepatternsoftreerelatedmicrohabitatsamethodtosimplifyroutinemonitoring
_version_ 1718405737269428224