Bryophytes are predicted to lag behind future climate change despite their high dispersal capacities

Zanatta, Florian; Engler, Robin; Collart, Flavien; Broennimann, Olivier; Mateo, Rubén G.; Papp, Beáta; Muñoz, Jesús; Baurain, Denis; Guisan, Antoine; Vanderpoorten, Alain

doi:10.1038/s41467-020-19410-8

Cited by 71 publications

(45 citation statements)

References 78 publications

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“…However, comparisons of altitudinal ranges of species in réunion island with those of continental mountain ranges revealed that the former are narrower than the latter (ah-Peng et al 2012). Furthermore, projections of species distribution models for Macaronesian endemic species onto future climatic layers pointed to an average decrease of suitable areas of 62-87% per species (Patiño et al 2016), which is comparatively higher than the 16-42% of range loss predicted for the european bryophyte flora (Zanatta et al 2020). Model predictions suggest that even the commonest endemic species would fit either the Vulnerable or endangered IuCN categories by 2070 (Patiño et al 2016).…”

Section: Island Conservation and Managementmentioning

confidence: 83%

Island biogeography: an avenue for research in bryology

Patiño

Vanderpoorten

2021

BDE

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In the present review, we provide an updated account on the level of knowledge in island bryophyte biogeography. In the framework of the 50 most fundamental questions for present and future island biology research highlighted by Patiño et al. (2017), we summarize current knowledge in bryophyte island biogeography and outline main research avenues for the future in the field. We found that only about 50% of the key current questions in island biogeography have been addressed to some extent, at least once, in bryophytes. Even fundamental questions that have caught the attention of ecologists since more than one century, such as the species-area relationship, have only rarely been dealt with in bryophytes. The application of the Island Biogeography Theory therefore opens an avenue for research in bryology, and we discuss the most salient features, including species and community phylogenetics, biotic interactions, and invasion biology.

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Section: Island Conservation and Managementmentioning

confidence: 83%

Island biogeography: an avenue for research in bryology

Patiño

Vanderpoorten

2021

BDE

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“…In contrast, Frullania fuscovirens in the TRF and Frullania chenii in the STF attached on the crown zones are adapted to intense radiation and drought stress in the forest canopy. These findings carry conservation implications for the potential impacts of climate change on epiphytic bryophyte distributions, as the changes in microclimatic conditions due to anthropogenic warming may results in the shift in their vertical distributions or in local extinctions (Pardow and Lakatos, 2013;Zanatta et al, 2020).…”

Section: Factors Structuring the Bryophyte-host Networkmentioning

confidence: 89%

Structuring Interaction Networks Between Epiphytic Bryophytes and Their Hosts in Yunnan, SW China

Hu¹,

Shen²,

Quan³

et al. 2021

Front. For. Glob. Change

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Ecological networks are commonly applied to depict general patterns of biotic interactions, which provide tools to understand the mechanism of community assembly. Commensal interactions between epiphytes and their hosts are a major component of species interactions in forest canopies; however, few studies have investigated species assemblage patterns and network structures of epiphyte–host interactions, particularly non-vascular epiphytes in different types of forest. To analyze the characteristics of network structures between epiphytes and their hosts, composition and distribution of epiphytic bryophytes were investigated from 138 host individuals using canopy cranes in a tropical lowland seasonal rain forest (TRF) and a subtropical montane moist evergreen broad-leaved forest (STF), in Southwest China. We structured binary networks between epiphytic bryophytes and their hosts in these two forests, which presented 329 interactions in the TRF and 545 interactions in the STF. Compared to TRF, the bryophyte–host plant networks were more nested but less modular in the STF. However, both forests generally exhibited a significantly nested structure with low levels of specialization and modularity. The relatively high nestedness may stabilize the ecological networks between epiphytic bryophytes and their hosts. Nevertheless, the low modularity in epiphyte–host networks could be attributed to the lack of co-evolutionary processes, and the low degree of specialization suggests that epiphytes are less likely to colonize specific host species. Vertical distribution of the bryophyte species showed structured modules in the tree basal and crown zones, probably attributing to the adaptation to microclimates within a host individual. This study highlights the nested structure of commensal interaction between epiphytic bryophytes and host trees, and provides a scientific basis to identify key host tree species for conservation and management of biodiversity in forest ecosystems.

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“…Despite the predictive power of their ensemble modeling of D. involucrate , an important limitation in the present study is that we assessed future habitat suitability under two extreme dispersal assumptions (i.e., no dispersal and unlimited dispersal), which ignores the realistic rates and modes of dispersal of this species (Saupe et al., 2012 ). These assumptions are likely inaccurate, which could lead to overestimation of suitable habitat under the unlimited dispersal assumption or underestimation under the zero‐dispersal assumption (Engler & Guisan, 2009 ; Viana, 2017 ; Zanatta et al., 2020 ). For instance, Engler and Guisan ( 2009 ) assessed the potential impacts of climate change on habitat suitability of 287 mountain plants under four dispersal scenarios (unlimited dispersal, zero dispersal, realistic dispersal, and realistic dispersal with long‐distance dispersal events).…”

Section: Discussionmentioning

confidence: 99%

Predicting range shifts of Davidia involucrata Ball. under future climate change

Long

Tang

Pilfold

et al. 2021

Ecology and Evolution

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Understanding and predicting how species will respond to climate change is crucial for biodiversity conservation. Here, we assessed future climate change impacts on the distribution of a rare and endangered plant species, Davidia involucrate in China, using the most recent global circulation models developed in the sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC6). We assessed the potential range shifts in this species by using an ensemble of species distribution models (SDMs). The ensemble SDMs exhibited high predictive ability and suggested that the temperature annual range, annual mean temperature, and precipitation of the driest month are the most influential predictors in shaping distribution patterns of this species. The projections of the ensemble SDMs also suggested that D. involucrate is very vulnerable to future climate change, with at least one‐third of its suitable range expected to be lost in all future climate change scenarios and will shift to the northward of high‐latitude regions. Similarly, at least one‐fifth of the overlap area of the current nature reserve networks and projected suitable habitat is also expected to be lost. These findings suggest that it is of great importance to ensure that adaptive conservation management strategies are in place to mitigate the impacts of climate change on D. involucrate.

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Bryophytes are predicted to lag behind future climate change despite their high dispersal capacities

Cited by 71 publications

References 78 publications

Island biogeography: an avenue for research in bryology

Island biogeography: an avenue for research in bryology

Structuring Interaction Networks Between Epiphytic Bryophytes and Their Hosts in Yunnan, SW China

Predicting range shifts of Davidia involucrata Ball. under future climate change

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