Literature DB >> 26845378

From facilitation to competition: temperature-driven shift in dominant plant interactions affects population dynamics in seminatural grasslands.

Siri L Olsen1,2, Joachim P Töpper3,4, Olav Skarpaas2, Vigdis Vandvik4, Kari Klanderud1.   

Abstract

Biotic interactions are often ignored in assessments of climate change impacts. However, climate-related changes in species interactions, often mediated through increased dominance of certain species or functional groups, may have important implications for how species respond to climate warming and altered precipitation patterns. We examined how a dominant plant functional group affected the population dynamics of four co-occurring forb species by experimentally removing graminoids in seminatural grasslands. Specifically, we explored how the interaction between dominants and subordinates varied with climate by replicating the removal experiment across a climate grid consisting of 12 field sites spanning broad-scale temperature and precipitation gradients in southern Norway. Biotic interactions affected population growth rates of all study species, and the net outcome of interactions between dominants and subordinates switched from facilitation to competition with increasing temperature along the temperature gradient. The impacts of competitive interactions on subordinates in the warmer sites could primarily be attributed to reduced plant survival. Whereas the response to dominant removal varied with temperature, there was no overall effect of precipitation on the balance between competition and facilitation. Our findings suggest that global warming may increase the relative importance of competitive interactions in seminatural grasslands across a wide range of precipitation levels, thereby favouring highly competitive dominant species over subordinate species. As a result, seminatural grasslands may become increasingly dependent on disturbance (i.e. traditional management such as grazing and mowing) to maintain viable populations of subordinate species and thereby biodiversity under future climates. Our study highlights the importance of population-level studies replicated under different climatic conditions for understanding the underlying mechanisms of climate change impacts on plants.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  Veronica; Viola; biotic interactions; climate change; integral projection model; plant population dynamics; removal experiment; temperature and precipitation gradients

Mesh:

Year:  2016        PMID: 26845378     DOI: 10.1111/gcb.13241

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  20 in total

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Review 2.  Reintroducing Environmental Change Drivers in Biodiversity-Ecosystem Functioning Research.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-01-27       Impact factor: 6.237

4.  Building integral projection models with nonindependent vital rates.

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5.  Rainfall and temperature change drive Arnica montana population dynamics at the Northern distribution edge.

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6.  Do soil biota influence the outcome of novel interactions between plant competitors?

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7.  Drivers of local extinction risk in alpine plants under warming climate.

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Journal:  Ecol Lett       Date:  2021-03-29       Impact factor: 11.274

Review 8.  Lags in the response of mountain plant communities to climate change.

Authors:  Jake M Alexander; Loïc Chalmandrier; Jonathan Lenoir; Treena I Burgess; Franz Essl; Sylvia Haider; Christoph Kueffer; Keith McDougall; Ann Milbau; Martin A Nuñez; Aníbal Pauchard; Wolfgang Rabitsch; Lisa J Rew; Nathan J Sanders; Loïc Pellissier
Journal:  Glob Chang Biol       Date:  2017-11-27       Impact factor: 10.863

9.  Evolutionary Rescue as a Mechanism Allowing a Clonal Grass to Adapt to Novel Climates.

Authors:  Zuzana Münzbergová; Vigdis Vandvik; Věroslava Hadincová
Journal:  Front Plant Sci       Date:  2021-05-17       Impact factor: 5.753

10.  Plastic Population Effects and Conservative Leaf Traits in a Reciprocal Transplant Experiment Simulating Climate Warming in the Himalayas.

Authors:  Haijun Cui; Joachim P Töpper; Yan Yang; Vigdis Vandvik; Genxu Wang
Journal:  Front Plant Sci       Date:  2018-07-30       Impact factor: 5.753

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