Literature DB >> 33420160

Repeated surveying over 6 years reveals that fine-scale habitat variables are key to tropical mountain ant assemblage composition and functional diversity.

Mulalo M Muluvhahothe1, Grant S Joseph2,3, Colleen L Seymour4,5, Thinandavha C Munyai6, Stefan H Foord1.   

Abstract

High-altitude-adapted ectotherms can escape competition from dominant species by tolerating low temperatures at cooler elevations, but climate change is eroding such advantages. Studies evaluating broad-scale impacts of global change for high-altitude organisms often overlook the mitigating role of biotic factors. Yet, at fine spatial-scales, vegetation-associated microclimates provide refuges from climatic extremes. Using one of the largest standardised data sets collected to date, we tested how ant species composition and functional diversity (i.e., the range and value of species traits found within assemblages) respond to large-scale abiotic factors (altitude, aspect), and fine-scale factors (vegetation, soil structure) along an elevational gradient in tropical Africa. Altitude emerged as the principal factor explaining species composition. Analysis of nestedness and turnover components of beta diversity indicated that ant assemblages are specific to each elevation, so species are not filtered out but replaced with new species as elevation increases. Similarity of assemblages over time (assessed using beta decay) did not change significantly at low and mid elevations but declined at the highest elevations. Assemblages also differed between northern and southern mountain aspects, although at highest elevations, composition was restricted to a set of species found on both aspects. Functional diversity was not explained by large scale variables like elevation, but by factors associated with elevation that operate at fine scales (i.e., temperature and habitat structure). Our findings highlight the significance of fine-scale variables in predicting organisms' responses to changing temperature, offering management possibilities that might dilute climate change impacts, and caution when predicting assemblage responses using climate models, alone.

Entities:  

Year:  2021        PMID: 33420160      PMCID: PMC7794360          DOI: 10.1038/s41598-020-80077-8

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  25 in total

1.  The perfect ocean for drought.

Authors:  Martin Hoerling; Arun Kumar
Journal:  Science       Date:  2003-01-31       Impact factor: 47.728

2.  On a collision course: competition and dispersal differences create no-analogue communities and cause extinctions during climate change.

Authors:  Mark C Urban; Josh J Tewksbury; Kimberly S Sheldon
Journal:  Proc Biol Sci       Date:  2012-01-04       Impact factor: 5.349

3.  Microhabitats reduce animal's exposure to climate extremes.

Authors:  Brett R Scheffers; David P Edwards; Arvin Diesmos; Stephen E Williams; Theodore A Evans
Journal:  Glob Chang Biol       Date:  2013-11-19       Impact factor: 10.863

4.  Microhabitat and body size effects on heat tolerance: implications for responses to climate change (army ants: Formicidae, Ecitoninae).

Authors:  Kaitlin M Baudier; Abigail E Mudd; Shayna C Erickson; Sean O'Donnell
Journal:  J Anim Ecol       Date:  2015-06-15       Impact factor: 5.091

5.  Thermoregulatory traits combine with range shifts to alter the future of montane ant assemblages.

Authors:  Tom R Bishop; Catherine L Parr; Heloise Gibb; Berndt J van Rensburg; Brigitte Braschler; Steven L Chown; Stefan H Foord; Kévin Lamy; Thinandavha C Munyai; Iona Okey; Pfarelo G Tshivhandekano; Victoria Werenkraut; Mark P Robertson
Journal:  Glob Chang Biol       Date:  2019-04-07       Impact factor: 10.863

6.  Does morphology predict trophic position and habitat use of ant species and assemblages?

Authors:  H Gibb; J Stoklosa; D I Warton; A M Brown; N R Andrew; S A Cunningham
Journal:  Oecologia       Date:  2014-10-07       Impact factor: 3.225

7.  Morphological traits: predictable responses to macrohabitats across a 300 km scale.

Authors:  Michelle L Yates; Nigel R Andrew; Matthew Binns; Heloise Gibb
Journal:  PeerJ       Date:  2014-03-04       Impact factor: 2.984

8.  Temporal patterns of ant diversity across a mountain with climatically contrasting aspects in the tropics of Africa.

Authors:  Thinandavha Caswell Munyai; Stefan Hendrik Foord
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

9.  The PIT-trap-A "model-free" bootstrap procedure for inference about regression models with discrete, multivariate responses.

Authors:  David I Warton; Loïc Thibaut; Yi Alice Wang
Journal:  PLoS One       Date:  2017-07-24       Impact factor: 3.240

10.  Contrasting species and functional beta diversity in montane ant assemblages.

Authors:  Tom R Bishop; Mark P Robertson; Berndt J van Rensburg; Catherine L Parr
Journal:  J Biogeogr       Date:  2015-05-16       Impact factor: 4.324

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