2014
DOI: 10.1186/s40665-014-0008-y
|View full text |Cite
|
Sign up to set email alerts
|

Interactive effects of multiple climate change variables on trophic interactions: a meta-analysis

Abstract: Background: Climate change is expected to simultaneously alter many of the abiotic qualities of ecosystems as well as biotic interactions, especially trophic interactions. However, research to date has mostly focused on elucidating the effects of single climate change variables on individual species. Here, we use established meta-analysis techniques to synthesize the existing literature on the interactive effects of multiple climate change variables on trophic interactions.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
59
0

Year Published

2016
2016
2021
2021

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 65 publications
(61 citation statements)
references
References 78 publications
2
59
0
Order By: Relevance
“…More accurate projections of climate change consequences also requires data from long-term (across generations), replicated experiments with appropriate controls, conducted at spatiotemporal scales relevant for the species and community under investigation, and realistic (oscillating and gradually increasing at a slow rate) temperature manipulation regimes. Single-species and single-factor experiments can provide valuable insights and knowledge, but are not sufficient to investigate biodiversity responses to climate change, there is a need for multifactorial experiments that assess the combined additive and interactive effects of temperature and other environmental conditions [7,22,34].…”
Section: General Discussion and Overall Assessment Of Approaches Usedmentioning
confidence: 99%
See 3 more Smart Citations
“…More accurate projections of climate change consequences also requires data from long-term (across generations), replicated experiments with appropriate controls, conducted at spatiotemporal scales relevant for the species and community under investigation, and realistic (oscillating and gradually increasing at a slow rate) temperature manipulation regimes. Single-species and single-factor experiments can provide valuable insights and knowledge, but are not sufficient to investigate biodiversity responses to climate change, there is a need for multifactorial experiments that assess the combined additive and interactive effects of temperature and other environmental conditions [7,22,34].…”
Section: General Discussion and Overall Assessment Of Approaches Usedmentioning
confidence: 99%
“…Based merely on the distribution of the reviewed studies across methodological categories outlined above, a subjective answer would be no. However, it would be possible (but difficult) to objectively investigate this issue by conducting (or comparing) a series of experiments with different levels of realism (with regard to species complexity, nature and severity of temperature challenge, or study duration) and examine whether and how outcomes and conclusions change depending on realism or degree of complexity [27,34,35]. Results of a recent meta-analysis [36] show that experimental warming reduces community species richness in marine but not in freshwater systems, that there were no impacts on evenness in aquatic systems, that intensity and duration of experimental warming did not explain variation in responses among studies, and that biodiversity effects depended on local species composition.…”
Section: Finding the Balance Between Realism And Methodological Tractmentioning
confidence: 99%
See 2 more Smart Citations
“…Inference to untangleglobal change effects on trophic interactions include elaborated theoretical simulation models based upon physiological principles, experimental setups, and observational or correlative studies of spatio-temporal changes in natural systems[3,4,11,12,23]. In the current study, we apply all three approaches.…”
Section: Introductionmentioning
confidence: 99%