Literature DB >> 26649996

Synergistic and antagonistic interactions of future land use and climate change on river fish assemblages.

Johannes Radinger1, Franz Hölker1, Pavel Horký2, Ondřej Slavík2, Nicolas Dendoncker3, Christian Wolter1.   

Abstract

River ecosystems are threatened by future changes in land use and climatic conditions. However, little is known of the influence of interactions of these two dominant global drivers of change on ecosystems. Does the interaction amplify (synergistic interaction) or buffer (antagonistic interaction) the impacts and does their interaction effect differ in magnitude, direction and spatial extent compared to single independent pressures. In this study, we model the impact of single and interacting effects of land use and climate change on the spatial distribution of 33 fish species in the Elbe River. The varying effects were modeled using step-wise boosted regression trees based on 250 m raster grid cells. Species-specific models were built for both 'moderate' and 'extreme' future land use and climate change scenarios to assess synergistic, additive and antagonistic interaction effects on species losses, species gains and diversity indices and to quantify their spatial distribution within the Elbe River network. Our results revealed species richness is predicted to increase by 0.7-2.9 species by 2050 across the entire river network. Changes in species richness are likely to be spatially variable with significant changes predicted for 56-85% of the river network. Antagonistic interactions would dominate species losses and gains in up to 75% of the river network. In contrast, synergistic and additive effects would occur in only 20% and 16% of the river network, respectively. The magnitude of the interaction was negatively correlated with the magnitudes of the single independent effects of land use and climate change. Evidence is provided to show that future land use and climate change effects are highly interactive resulting in species range shifts that would be spatially variable in size and characteristic. These findings emphasize the importance of adaptive river management and the design of spatially connected conservation areas to compensate for these high species turnovers and range shifts.
© 2015 John Wiley & Sons Ltd.

Entities:  

Keywords:  River Elbe; antagonism; climate change; fish diversity; land use change; multiple pressures; river catchment; synergism

Mesh:

Year:  2016        PMID: 26649996     DOI: 10.1111/gcb.13183

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


  5 in total

1.  An ecologically constrained procedure for sensitivity analysis of Artificial Neural Networks and other empirical models.

Authors:  Simone Franceschini; Lorenzo Tancioni; Massimo Lorenzoni; Francesco Mattei; Michele Scardi
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

2.  Integrating dynamic environmental predictors and species occurrences: Toward true dynamic species distribution models.

Authors:  Pietro Milanesi; Francesca Della Rocca; Robert A Robinson
Journal:  Ecol Evol       Date:  2019-12-15       Impact factor: 2.912

3.  Warming temperatures drive at least half of the magnitude of long-term trait changes in European birds.

Authors:  Nina McLean; Loeske E B Kruuk; Henk P van der Jeugd; David Leech; Chris A M van Turnhout; Martijn van de Pol
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-01       Impact factor: 12.779

4.  Disentangling the potential effects of land-use and climate change on stream conditions.

Authors:  Kelly O Maloney; Kevin P Krause; Claire Buchanan; Lauren E Hay; Gregory J McCabe; Zachary M Smith; Terry L Sohl; John A Young
Journal:  Glob Chang Biol       Date:  2020-01-19       Impact factor: 10.863

5.  From topography to hydrology-The modifiable area unit problem impacts freshwater species distribution models.

Authors:  Martin Friedrichs-Manthey; Simone D Langhans; Thomas Hein; Florian Borgwardt; Harald Kling; Sonja C Jähnig; Sami Domisch
Journal:  Ecol Evol       Date:  2020-02-21       Impact factor: 2.912

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.