Boreal bryophyte response to natural fire edge creation

Barbé, Marion; Fenton, Nicole J.; Bergeron, Yves

doi:10.1111/jvs.12552

Cited by 5 publications

(3 citation statements)

References 62 publications

(93 reference statements)

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“…For instance, the known habitat associations of species have not yet been fully analyzed. There have been a few papers that have emphasized the lifehistory traits of deadwood colonizers and the properties of deadwood and its surroundings, e.g., for bryophytes (Bardat and Aubert 2007;Barbé et al 2017;Żarnowiec et al 2021) and vascular plants (Chećko et al 2015;Chmura et al 2016). However, we do not know which factors are more important in determining species presence, the characteristics of the deadwood itself, or the characteristics of the surrounding forest habitat.…”

Section: Introductionmentioning

confidence: 99%

Altitude is a better predictor of the habitat requirements of epixylic bryophytes and lichens than the presence of coarse woody debris in mountain forests: a study in Poland

Chmura

Żarnowiec

Staniaszek‐Kik

2022

Annals of Forest Science

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Key message In order to preserve the continuity of epiphytic and epixylic cryptogamic flora, two things are essential: maintaining the near-natural character of a forest community in relation to the montane zonation and more sustainable forest management in relation to deadwood. Context Lichens and bryophytes are common species that inhabit dead wood. The relationship between their habitat requirements, which can be expressed by their Ellenberg indicator values and the characteristics of dead logs, are not yet known. Aims We formulated the hypothesis that altitude is positively correlated with the demands of species for higher light and lower temperature, while the decomposition stage of deadwood is positively correlated with species’ requirements for nutrients and moisture. Moreover, we assumed that there would be differences in the habitat requirements among specific groups of species, i.e., lichens, liverworts, and mosses. Methods A total of 629 logs that were colonized by bryophytes and lichens were analyzed in terms of their mean Ellenberg indicator values in order to determine whether there is a link between the location, decomposition of logs and the species’ environmental requirements. Results Altitude correlated with the moisture and nutrients in the habitats of liverworts and mosses and light and soil acidification only in mosses. Conclusions The obtained results demonstrate that the altitudinal distribution of epixylic species in a montane region is of greater importance than the deadwood properties like decomposition stage and moisture content.

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Section: Introductionmentioning

confidence: 99%

Altitude is a better predictor of the habitat requirements of epixylic bryophytes and lichens than the presence of coarse woody debris in mountain forests: a study in Poland

Chmura

Żarnowiec

Staniaszek‐Kik

2022

Annals of Forest Science

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“…Edges caused by fire led to very few positive edge effects, where there are higher values at the edge and lower values on either side. Examples included log abundance, broadleaf regeneration and bryophyte species richness which were higher at boreal forest edges (Barbe, Fenton & Bergeron, 2017b;Harper et al, 2015).…”

Section: (B) Patch Scalementioning

confidence: 99%

How fire interacts with habitat loss and fragmentation

et al. 2021

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Biodiversity faces many threats and these can interact to produce outcomes that may not be predicted by considering their effects in isolation. Habitat loss and fragmentation (hereafter 'fragmentation') and altered fire regimes are important threats to biodiversity, but their interactions have not been systematically evaluated across the globe. In this comprehensive synthesis, including 162 papers which provided 274 cases, we offer a framework for understanding how fire interacts with fragmentation. Fire and fragmentation interact in three main ways: (i) fire influences fragmentation (59% of 274 cases), where fire either destroys and fragments habitat or creates and connects habitat; (ii) fragmentation influences fire (25% of cases) where, after habitat is reduced in area and fragmented, fire in the landscape is subsequently altered because people suppress or ignite fires, or there is increased edge flammability or increased obstruction to fire spread; and (iii) where the two do not influence each other, but fire interacts with fragmentation to affect responses like species richness, abundance and extinction risk (16% of cases). Where fire and fragmentation do influence each other, feedback loops are possible that can lead to ecosystem conversion (e.g. forest to grassland). This is a well-documented threat in the tropics but with potential also to be important elsewhere. Fire interacts with fragmentation through scale-specific mechanisms: fire creates edges and drives edge effects; fire alters patch quality; and fire alters landscape-scale connectivity. We found only 12 cases in which studies reported the four essential strata for testing a full interaction, which were fragmented and unfragmented landscapes that both span contrasting fire histories, such as recently burnt and long unburnt vegetation. Simulation and empirical studies show that fire and fragmentation can interact synergistically, multiplicatively, antagonistically or additively. These cases highlight a key reason why understanding interactions is so important: when fire and fragmentation act together they can cause

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“…These structural features provide essential habitats for many species (Boudreault et al, 2018;Tremblay et al, 2018;Winter & Möller, 2008). Similarly, the temporal continuity of old-growth forests, where the last primary disturbance often occurred centuries ago, is vital for many low-dispersal (e.g., lichen and bryophyte species) or disturbance-sensitive species (e.g., woodland caribou (Rangifer tarandus caribou)) (Barbé et al, 2017;Faille et al, 2010;Fenton & Bergeron, 2011). Old-growth forests also play a key role in the offering of ecosystem services, including carbon storage and water flux (Keeton, 2019;Kenina et al, 2019;Warren et al, 2019).…”

Section: Introductionmentioning

confidence: 99%