Predicting abundance and diversity of tree-related microhabitats in Central European montane forests from common forest attributes

Asbeck, Thomas; Pyttel, Patrick; Frey, Julian; Bauhus, Jürgen

doi:10.1016/j.foreco.2018.09.043

Cited by 82 publications

(88 citation statements)

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“…Forests with a more diverse tree species composition commonly show a more complex structure, especially if the applied silvicultural system is close-to-nature forest management [46]. Thus, the factor explaining the relation of shape complexity and TreMs might be a well-known complementary effect of tree species mixtures related to forest type, an effect especially meaningful for TreM richness [44,69]. This includes the fact that forest types including broadleaved trees provide a higher abundance and richness of TreMs compared to less complex coniferous forest types [44,69].…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the factor explaining the relation of shape complexity and TreMs might be a well-known complementary effect of tree species mixtures related to forest type, an effect especially meaningful for TreM richness [44,69]. This includes the fact that forest types including broadleaved trees provide a higher abundance and richness of TreMs compared to less complex coniferous forest types [44,69]. The influence of mixtures including especially broadleaf tree species, and in our case larger shares of beech, increase the abundance and richness of TreMs as well as the shape complexity of the inventoried forests [44,47].…”

Section: Discussionmentioning

confidence: 99%

“…An assessment of all trees in the plots was not feasible for logistic reasons, but by selecting 15 large trees, we captured most Remote Sens. 2020, 12, 867 4 of 20 of the variation (80% based on a rarefaction analysis) of TreMs in the plots [44]. The tree species was not a selection criterion and it was not the goal to inventory the absolutely largest trees per plot, but to find a feasible solution for selecting large trees prior to the full inventory.…”

Section: Assessment Of Tree-related Microhabitatsmentioning

confidence: 99%

“…Many common forest variables can be extracted from TLS-data [58,59], yet certain methods are only applicable to single-layer stands with relatively uniform tree distributions. The influence of common forest attributes on TreMs has been researched and the prediction based on this information is well established [44,47]. We build models including the derived RS parameters as predictors for TreM abundance and richness.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…However, close-range remote sensing techniques are able to describe small-scale structural complexity of forests in increasing detail [4,[39][40][41][42]. TreM inventories and RS techniques are often used to answer similar research questions, for instance the quantification of old-growth attributes in forests [39,43] and the selection of habitat trees [32,44]. If remotely-sensed data can predict the range of forest structures that offer a high abundance and richness of TreMs, this would constitute a major step towards a more efficient and objective selection of habitat trees as retention elements for biodiversity conservation.…”

Section: Introductionmentioning

confidence: 99%

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Predicting Tree-Related Microhabitats by Multisensor Close-Range Remote Sensing Structural Parameters for the Selection of Retention Elements

2020

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The retention of structural elements such as habitat trees in forests managed for timber production is essential for fulfilling the objectives of biodiversity conservation. This paper seeks to predict tree-related microhabitats (TreMs) by close-range remote sensing parameters. TreMs, such as cavities or crown deadwood, are an established tool to quantify the suitability of habitat trees for biodiversity conservation. The aim to predict TreMs based on remote sensing (RS) parameters is supposed to assist a more objective and efficient selection of retention elements. The RS parameters were collected by the use of terrestrial laser scanning as well as unmanned aerial vehicles structure from motion point cloud generation to provide a 3D distribution of plant tissue. Data was recorded on 135 1-ha plots in Germany. Statistical models were used to test the influence of 28 RS predictors, which described TreM richness (R 2 : 0.31) and abundance (R 2 : 0.31) in moderate precision and described a deviance of 44% for the abundance and 38% for richness of TreMs. Our results indicate that multiple RS techniques can achieve moderate predictions of TreM occurrence. This method allows a more efficient and objective selection of retention elements such as habitat trees that are keystone features for biodiversity conservation, even if it cannot be considered a full replacement of TreM inventories due to the moderate statistical relationship at this stage.3 of 20 regeneration, promotion of mixed and uneven-aged stands, and retention of habitat trees [46]. The plots were selected so that water bodies, roads, power lines etc. were excluded but smaller man-made objects like raised hides for hunting, skid tracks, hiking paths etc. could be included. The plots cover a range of altitudes between 434 m and 1334 m a.s.l. and the variance of the slopes is between 1 and 34 • . Eighty-one of the plots are located in formally protected areas of different categories from water protection areas to strict reserves with different levels of restriction on active forest management.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Assessment Of Tree-related Microhabitatsmentioning

confidence: 99%

Section: Statistical Analysesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Predicting Tree-Related Microhabitats by Multisensor Close-Range Remote Sensing Structural Parameters for the Selection of Retention Elements

2020

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Epiphytic bryophyte and lichen transplant niches along an elevational gradient in Pacific Northwest coniferous forests

Mežaka

2023

American J of Botany

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Premise of the studyThere is a lack of knowledge about the ability of individual species to grow successfully outside of their realized niche. The present study aims to investigate two epiphytic bryophyte and two epiphytic lichen species in their fundamental and realized niches in the Pacific Northwest coniferous forest at low, mid and high elevations.MethodsTwo lowland epiphytic bryophyte species (Frullania nisquallensis, Neckera douglasii) and one lowland epiphytic lichen species (Usnea longissima) were transplanted to mid and high elevation sites. One high elevation epiphytic lichen species (Hypogymnia rugosa) was transplanted to mid and low elevation sites.Key resultsThe fundamental and realized niches of F. nisquallensis and U. longissima are close and that they can both successfully survive outside of their realized niches. Concerning N. douglasii, dispersal limitations could shape its distribution along elevation and local microclimate conditions could be important for its vitality.ConclusionsCertain bryophyte and lichen species can survive outside of their realized niches, information that can contribute to building knowledge about species niches along elevational gradients. Future studies should focus on cryptogam species interactions in a changing climate.This article is protected by copyright. All rights reserved.

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Pioneer tree species accelerate restoration of tree‐related microhabitats in 50‐year‐old reserves of Białowieża Forest, Poland

Spînu,

Mysiak,

Bauhus

et al. 2023

Ecology and Evolution

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Retention of structural elements such as deadwood and habitat trees at the level of forest stands has been promoted to integrate biodiversity conservation into multipleuse forest management. The conservation value of habitat trees is largely determined by the presence, richness, and abundance of tree-related microhabitats (TreMs). Since TreMs are often lacking in intensively managed forests, an important question of forest conservation is how the abundance and richness of TreMs may be effectively restored. Here, we investigated whether the strict protection of forest through cessation of timber harvesting influenced TreM occurrence at tree and stand levels. For that purpose, we compared four managed and four set-aside stands (0.25 ha each) in the Białowieża Forest, with identical origin following clear-cuts approximately 100 years ago. We found that the abundance and richness of TreMs on living trees were not significantly different between stands that were either conventionally managed or where active forest management ceased 52 years ago. Yet, our analysis of TreMs on tree species with contrasting life-history traits revealed that short-lived, fast-growing species (pioneers) developed TreMs quicker than longer-lived, slower-growing species. Hence, tree species such as Populus or Betula, which supply abundant and diverse TreMs, can play an important role in accelerating habitat restoration.

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Predicting abundance and diversity of tree-related microhabitats in Central European montane forests from common forest attributes

Cited by 82 publications

References 42 publications

Predicting Tree-Related Microhabitats by Multisensor Close-Range Remote Sensing Structural Parameters for the Selection of Retention Elements

Predicting Tree-Related Microhabitats by Multisensor Close-Range Remote Sensing Structural Parameters for the Selection of Retention Elements

Epiphytic bryophyte and lichen transplant niches along an elevational gradient in Pacific Northwest coniferous forests

Pioneer tree species accelerate restoration of tree‐related microhabitats in 50‐year‐old reserves of Białowieża Forest, Poland

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