Literature DB >> 31987640

Trait-Based Assessments of Climate-Change Impacts on Interacting Species.

Matthias Schleuning1, Eike Lena Neuschulz2, Jörg Albrecht2, Irene M A Bender3, Diana E Bowler4, D Matthias Dehling5, Susanne A Fritz6, Christian Hof7, Thomas Mueller6, Larissa Nowak6, Marjorie C Sorensen8, Katrin Böhning-Gaese6, W Daniel Kissling9.   

Abstract

Plant-animal interactions are fundamentally important in ecosystems, but have often been ignored by studies of climate-change impacts on biodiversity. Here, we present a trait-based framework for predicting the responses of interacting plants and animals to climate change. We distinguish three pathways along which climate change can impact interacting species in ecological communities: (i) spatial and temporal mismatches in the occurrence and abundance of species, (ii) the formation of novel interactions and secondary extinctions, and (iii) alterations of the dispersal ability of plants. These pathways are mediated by three kinds of functional traits: response traits, matching traits, and dispersal traits. We propose that incorporating these traits into predictive models will improve assessments of the responses of interacting species to climate change.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  animals; dispersal; ecological networks; functional traits; global change; plants

Year:  2020        PMID: 31987640     DOI: 10.1016/j.tree.2019.12.010

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  13 in total

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Authors:  Greg P A Lamarre; Nicholas A Pardikes; Simon Segar; Charles N Hackforth; Michel Laguerre; Benoît Vincent; Yacksecari Lopez; Filonila Perez; Ricardo Bobadilla; José Alejandro Ramírez Silva; Yves Basset
Journal:  Biol Lett       Date:  2022-04-06       Impact factor: 3.703

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3.  Downsizing of animal communities triggers stronger functional than structural decay in seed-dispersal networks.

Authors:  Isabel Donoso; Marjorie C Sorensen; Pedro G Blendinger; W Daniel Kissling; Eike Lena Neuschulz; Thomas Mueller; Matthias Schleuning
Journal:  Nat Commun       Date:  2020-03-27       Impact factor: 14.919

Review 4.  A research framework for projecting ecosystem change in highly diverse tropical mountain ecosystems.

Authors:  Jörg Bendix; Nicolay Aguire; Erwin Beck; Achim Bräuning; Roland Brandl; Lutz Breuer; Katrin Böhning-Gaese; Mateus Dantas de Paula; Thomas Hickler; Jürgen Homeier; Diego Inclan; Christoph Leuschner; Eike L Neuschulz; Matthias Schleuning; Juan P Suarez; Katja Trachte; Wolfgang Wilcke; David Windhorst; Nina Farwig
Journal:  Oecologia       Date:  2021-01-30       Impact factor: 3.225

5.  A taxonomic, genetic and ecological data resource for the vascular plants of Britain and Ireland.

Authors:  Marie C Henniges; Robyn F Powell; Sahr Mian; Clive A Stace; Kevin J Walker; Richard J Gornall; Maarten J M Christenhusz; Max R Brown; Alex D Twyford; Peter M Hollingsworth; Laura Jones; Natasha de Vere; Alexandre Antonelli; Andrew R Leitch; Ilia J Leitch
Journal:  Sci Data       Date:  2022-01-10       Impact factor: 6.444

6.  Tropical bee species abundance differs within a narrow elevational gradient.

Authors:  Kristin M Conrad; Valerie E Peters; Sandra M Rehan
Journal:  Sci Rep       Date:  2021-12-03       Impact factor: 4.379

7.  Functional Traits Drive Dispersal Interactions Between European Waterfowl and Seeds.

Authors:  Bia A Almeida; Balázs A Lukács; Ádám Lovas-Kiss; Chevonne Reynolds; Andy J Green
Journal:  Front Plant Sci       Date:  2022-01-31       Impact factor: 5.753

8.  How to approach the study of syndromes in macroevolution and ecology.

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9.  Potential geographic distribution of relict plant Pteroceltis tatarinowii in China under climate change scenarios.

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Journal:  PLoS One       Date:  2022-04-08       Impact factor: 3.240

10.  Biological control agent attack timing and population variability, but not density, best explain target weed density across an environmental gradient.

Authors:  Nathan Harms; James Cronin
Journal:  Sci Rep       Date:  2020-07-06       Impact factor: 4.996

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